Spray cooling method for light-transmitting roof building and light-transmitting roof spray cooling system

Abstract

The present application relates to the field of building technology, and more particularly to a spray cooling method for a light-transmitting roof building and a light-transmitting roof spray cooling system. The spray cooling method for the light-transmitting roof building comprises the following steps: S1: taking different light-transmitting roof light-heat performance parameters as inputs, simulating and solving heat transfer flow processes of indoor spaces below the light-transmitting roof building under dry conditions and spray conditions; S2: obtaining corresponding average PMVs or APMVs of the indoor spaces under the dry conditions and the spray conditions according to the solving results; S3: establishing a corresponding relationship between an overheating index of the light-transmitting roof building and the average PMV or between the overheating index and the average APMV; and S4: controlling the spray system to work according to the corresponding relationship between the overheating index and the average PMV or between the overheating index and the average APMV. The present application can realize accurate adjustment of indoor thermal comfort.

Description

Technical Field

[0001] This invention relates to the field of building technology, and in particular to a method and system for spray cooling of translucent roofs. Background Technology

[0002] To effectively improve indoor natural lighting and reduce building lighting energy consumption, researchers have proposed applying large-area transparent skylights to large public buildings. However, the application of transparent skylights can easily lead to a deterioration of the indoor thermal environment. To address this, researchers have proposed using a spray cooling technology to improve the indoor thermal environment and enhance the thermal comfort of indoor users. For example, researchers have proposed first establishing a relationship curve between the roof's outer surface temperature and the average annual temperature variation (APMV). Then, based on the outer surface temperature corresponding to the upper limit of indoor thermal comfort and the minimum temperature maintained by a single spray cycle, they determine the pump start-up and stop-pump temperatures. Spraying is then performed on the roof's outer surface when the real-time temperature is higher than the pump start-up temperature, and the spray valve and pump are shut off when the roof's outer surface temperature is lower than the pump stop-pump temperature during spraying. However, for translucent roof buildings with spraying processes, changes in the outer surface temperature are difficult to accurately reflect indoor thermal comfort. Therefore, the aforementioned method of controlling the spray system based on the detected outer surface temperature to regulate indoor temperature cannot achieve accurate regulation of indoor thermal comfort. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide a spray cooling method and control method for translucent roof buildings, in order to solve the technical problem that existing spray cooling methods for translucent roof buildings cannot accurately regulate indoor thermal comfort.

[0004] In a first aspect, the present invention provides a method for spray cooling of a translucent roof building, characterized in that the method comprises:

[0005] S1: Using different light-transmitting roof photothermal performance parameters as input, simulate and solve the heat transfer flow process in the indoor space under the light-transmitting roof under dry and spray conditions;

[0006] S2: Based on the solution results, obtain the average PMV or APMV of the indoor space under dry and spray conditions;

[0007] S3: Establish the correspondence between the overheat index and the average PMV or APMV of translucent roof buildings;

[0008] S4: Control the operation of the spray system based on the correspondence between the overheat index and the average PMV or APMV.

[0009] Preferably, step S3: establishing the correspondence between the overheat index and the average PMV or APMV of the translucent roof building includes:

[0010] S31: Determine the photothermal performance parameters of the translucent roof based on environmental and spray parameters;

[0011] S32: Obtain the solution results corresponding to the photothermal performance parameters of different light-transmitting roofs;

[0012] S33: Obtain the average PMV or APMV corresponding to the light and heat performance parameters of the same light-transmitting roof based on the corresponding solution results;

[0013] S34: Obtain the corresponding overheating index based on the light and heat performance parameters of the translucent roof;

[0014] S35: Obtain the correspondence between the overheating index and the average PMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and average PMV.

[0015] S36: Obtain the correspondence between the overheating index and the average APMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and the average APMV.

[0016] Preferably, the overheating index obtained according to S31: the photothermal performance parameters of the translucent roof includes:

[0017] S341: Obtain the environmental conditions of the translucent roof, including dry conditions and spray conditions;

[0018] S342: Obtain direct solar radiation transmittance under dry conditions T sol,d ;

[0019] S343: According to the formula Determine the direct solar radiation transmittance under spray conditions ,in, T a Outdoor air temperature, in °C. Outdoor solar radiation intensity, in W / m² 2 ; P This refers to the spray pressure, measured in bar. D The thickness of the water mist layer is expressed in meters (m).

[0020] S314: The overheating index of the translucent roof building when the environmental conditions are dry. ;

[0021] S315: When the environmental conditions are spray conditions, the overheat index of the translucent roof building. .

[0022] Preferably, step S4: controlling the operation of the spray system based on the correspondence between the superheat index and the average PMV or APMV includes:

[0023] S41: Obtain the overheat index of the light-transmitting roof building corresponding to the start-up conditions of the spray system based on the correspondence between the overheat index and the average PMV or APMV as the first overheat index.

[0024] S42: Obtain the overheat index of the light-transmitting roof building corresponding to the spray system closure condition based on the correspondence between the overheat index and the average PMV or APMV as the second overheat index.

[0025] S43: Obtain the working time period for buildings with translucent roofs;

[0026] S44: Detect the overheat index of the translucent roof building during the said working period;

[0027] S45: When the detected overheat index is higher than the first overheat index, control the spray system to start spraying;

[0028] S46: When the detected overheat index is lower than the second overheat index, control the spray system to stop spraying.

[0029] Preferably, step S41: obtaining the overheat index of the translucent roof building corresponding to the start-up conditions of the spray system as the first overheat index based on the correspondence between the overheat index and the average PMV or APMV includes:

[0030] S411: Obtain the upper limit of indoor thermal comfort;

[0031] S412: Determine the corresponding average PMV or APMV as the start-up condition for the misting system based on the upper limit of indoor thermal comfort.

[0032] S413: Obtain the corresponding overheat index as the first overheat index based on the correspondence between the spray system start-up conditions and the overheat index and the average PMV or APMV.

[0033] Preferably, step S412: determining the corresponding average PMV or APMV as the start-up condition for the misting system based on the upper limit of indoor thermal comfort includes:

[0034] Obtain the current air circulation conditions inside a building with a translucent roof;

[0035] If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the upper limit of indoor thermal comfort is used as the start-up condition for the spray system.

[0036] If the current indoor air circulation is under natural ventilation conditions, then the average APMV that meets the upper limit of indoor thermal comfort is used as the activation condition for the misting system.

[0037] Preferably, step S42: obtaining the overheat index of the translucent roof building corresponding to the spray system shutdown condition as the second overheat index based on the correspondence between the overheat index and the average PMV or APMV includes:

[0038] S421: Obtain the lower limit of indoor thermal comfort;

[0039] S422: Determine the corresponding average PMV or APMV as the shut-off condition for the misting system based on the lower limit of indoor thermal comfort.

[0040] S423: Obtain the corresponding overheat index as the second overheat index based on the correspondence between the spray system shutdown conditions and the overheat index and the average PMV or APMV.

[0041] Preferably, step S422: determining the corresponding average PMV or APMV as the shut-off condition for the spray system based on the lower limit of indoor thermal comfort includes:

[0042] Obtain the current air circulation conditions inside a building with a translucent roof;

[0043] If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the lower limit of indoor thermal comfort is used as the condition for closing the misting system.

[0044] If the current indoor air circulation is under natural ventilation conditions, then the average APMV that meets the lower limit of indoor thermal comfort is used as the condition for shutting down the spray system.

[0045] Preferably, step S1: using different light-transmitting roof photothermal performance parameters as input, simulating and solving the heat transfer flow process in the indoor space beneath the light-transmitting roof under dry and spray conditions includes:

[0046] S11: Establish the geometric model of the translucent roof building;

[0047] S12: Assign material properties to the corresponding parts of the geometric model based on the material type of each part of the translucent roof building;

[0048] S13: Use boundary conditions and photothermal performance parameters of different translucent roofs as input parameters;

[0049] S14: Determine the turbulence model based on the airflow conditions of the indoor space;

[0050] S15: Solve the heat transfer flow process in the indoor space below the translucent roof based on the input parameters and the turbulence model.

[0051] Secondly, the present invention provides a light-transmitting roof spray cooling system, which applies the spray cooling method for light-transmitting roof buildings described in the first aspect. The light-transmitting roof spray cooling system includes a temperature sensor, a solar radiation sensor, a spray system, and a control circuit. The temperature sensor and the solar radiation sensor are installed on the outer surface of the light-transmitting roof building. The control circuit is electrically connected to the temperature sensor, the solar radiation sensor, and the spray system, respectively. The control circuit includes at least one processor, at least one memory, and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the method described in the first aspect is implemented.

[0052] In summary, the beneficial effects of the present invention are as follows:

[0053] The present invention provides a spray cooling method and system for translucent roof buildings. By using different photothermal performance parameters of translucent roofs as input, it simulates and solves the heat transfer flow process inside the building under dry and spray conditions, thereby obtaining the corresponding indoor average PMV or APMV. Based on the simulation results, a mapping relationship between overheating indices and thermal comfort parameters is established, ultimately achieving intelligent start-stop control of the spray system through this relationship. Compared to traditional control methods that rely solely on roof surface temperature, the intelligent start-stop control method of this invention emphasizes the role of the spray system in regulating indoor comfort and improves the accuracy of regulation. It can more accurately reflect the actual thermal sensation of the human body, achieving precise matching between spray response and human comfort, effectively improving the accuracy and practicality of spray control, and avoiding false triggering or regulation lag. This invention also supports adaptive switching of thermal comfort indices between natural ventilation and air conditioning, enhancing the system's adaptability to different building scenarios. By converting human comfort needs into real-time monitorable overheating indices, the control system can operate efficiently without complex calculations, significantly improving the response efficiency, energy-saving effect, and comfort assurance capability of the spray cooling system. Attached Figure Description

[0054] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments of the present invention will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort, and these are all within the protection scope of the present invention.

[0055] Figure 1 This is a schematic flowchart of the spray cooling method for translucent roof buildings according to the present invention.

[0056] Figure 2 A flowchart illustrating the method of simulating and solving the heat transfer flow process in the indoor space beneath a translucent roof building according to the present invention.

[0057] Figure 3 This is a flowchart illustrating the method for establishing the correspondence between overheating index and indoor thermal comfort in this invention.

[0058] Figure 4 This is a flowchart illustrating the method of controlling the operation of the spray system based on the overheat index according to the present invention.

[0059] Figure 5 This is a flowchart illustrating the method of determining the overheat index corresponding to the start-up conditions of the spray system according to the present invention.

[0060] Figure 6 This is a flowchart illustrating the method of determining the overheat index corresponding to the shutdown conditions of the spray system according to the present invention.

[0061] Figure 7 This is a structural block diagram of the mist cooling system for a translucent roof building according to the present invention. Detailed Implementation

[0062] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0063] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0064] It should be noted that all actions involving the acquisition of signals, information, or data in this invention are carried out in compliance with the relevant data protection laws and regulations of the locality and with authorization from the owner of the relevant device.

[0065] Example 1

[0066] Please see Figure 1 This embodiment provides a spray cooling method for translucent roof buildings, the method comprising:

[0067] S1: Using different light-transmitting roof photothermal performance parameters as input, simulate and solve the heat transfer flow process in the indoor space under the light-transmitting roof under dry and spray conditions;

[0068] The photothermal performance parameters of a translucent roof refer to a set of numerical values ​​reflecting the roofing material's ability to transmit or absorb light and heat under different environmental conditions. These parameters often include solar radiation transmittance, reflectivity, and thermal conductivity. For example, PC panels and glass have different direct light transmittance under high temperature and high radiation conditions. In this embodiment, the photothermal performance parameters of the translucent roof include, but are not limited to, solar radiation heat gain coefficient, direct solar radiation transmittance, and visible light transmittance. The photothermal performance parameters of the translucent roof differ under dry and misting conditions. Furthermore, the photothermal performance parameters of the translucent roof also differ under different misting conditions.

[0069] The heat transfer flow process refers to the process by which heat energy is transferred and distributed between the air and building components in a building space through radiation, convection and conduction.

[0070] This embodiment simulates and solves the heat transfer flow process in the indoor space beneath a translucent roof under dry conditions and under misting conditions. In practice, multiple sets of different photothermal performance parameters of the translucent roof can be set and input into the solution to obtain the heat transfer flow process corresponding to different photothermal performance parameters. This embodiment simulates the thermodynamic behavior under different environments to obtain the ability of misting cooling to regulate the indoor thermal environment, providing basic data support for subsequent thermal comfort calculations and control strategies.

[0071] S2: Based on the solution results, obtain the average PMV or APMV of the indoor space under dry and spray conditions;

[0072] PMV (Predicted Mean Vote) is an index used to quantify thermal comfort. It reflects the average subjective vote value of people for hot and cold in a certain environment, and usually ranges from -3 (cold) to +3 (hot).

[0073] APMV is a modified form of PMV under natural ventilation conditions, taking into account the effects of wind speed perception and thermal adaptability, and is more suitable for buildings without mechanical air conditioning systems.

[0074] This step first calculates the indoor space PMV or APMV distribution under dry conditions based on the solution results. Then, it integrates the spatially distributed PMV to obtain the average PMV, or integrates the spatially distributed APMV to obtain the average APMV. This step can utilize the simulated results of temperature, humidity, wind speed, etc., combined with human physiological models to calculate thermal comfort indices, thereby quantifying the comfort improvement effects under dry and misting conditions.

[0075] S3: Establish the correspondence between the overheat index and the average PMV or APMV of translucent roof buildings;

[0076] In this embodiment, the overheat index is an indicator used to reflect the degree of heat accumulation in a building space, which can be determined by factors such as roof temperature, solar radiation, and material transmittance.

[0077] This step establishes the correlation between the overheating index and average PMV of translucent roof buildings, or between the overheating index and average APMV of translucent roof buildings. This step maps structural thermal response indicators with human thermal comfort indicators, enabling the system to accurately determine whether the misting system needs to be activated based on easily detectable data.

[0078] S4: Control the operation of the spray system based on the correspondence between the overheat index and the average PMV or APMV.

[0079] In practice, the current airflow condition is first determined. If the airflow condition is indoor air conditioning, the operation of the misting system is controlled according to the correspondence between the superheat index and the average PMV. If the airflow condition is natural ventilation, the operation of the misting system is controlled according to the correspondence between the superheat index and the average APMV.

[0080] Controlling the operation of the spray system can alter the building surface condition by scheduling the opening and closing of nozzles, spray pressure, or time cycle, thereby affecting the solar and thermal load and regulating the indoor temperature and humidity environment. The activation and deactivation conditions are determined by the aforementioned mapping relationship, corresponding to the upper and lower limits of indoor thermal comfort, respectively. This step is used to assess the degree of roof overheating in real time during actual operation and trigger spray decisions to dynamically maintain the indoor thermal comfort range.

[0081] like Figure 2 As shown, in this embodiment, S1: using different light-transmitting roof photothermal performance parameters as input, simulating and solving the heat transfer flow process in the indoor space under the light-transmitting roof building under dry and spray conditions specifically includes:

[0082] S11: Establish the geometric model of the translucent roof building;

[0083] In this embodiment, the geometric model refers to the virtual spatial framework composed of geometric entities that recreates the building space in the simulation environment. This framework describes the shape, size, and spatial relationships of boundaries such as walls, roofs, doors, and windows. This step establishes a basic framework for subsequent physics simulations, enabling the model to realistically represent the constraint effects of the building structure on heat and airflow. In practice, building dimension data can be extracted from architectural design drawings using CAD software or a BIM platform. Three-dimensional models can then be constructed using modeling tools such as ANSYS, Fluent, COMSOL, and SketchUp to ensure accurate reproduction of elements such as roof slope, window area, and wall thickness.

[0084] S12: Assign material properties to the corresponding parts of the geometric model based on the material type of each part of the translucent roof building;

[0085] Since the material type of a translucent roof affects the heat transfer process, this step assigns material properties to each part of the geometric model. This ensures that subsequent simulations accurately reflect the heat transfer process. Material properties include the thermal characteristics of the building components, such as thermal conductivity, specific heat capacity, density, light transmittance, and emissivity. These parameters determine the material's absorption, conduction, and transmission of heat and light. Assigning material properties gives the geometric model a physical responsiveness, allowing each component to correctly participate in energy transfer based on its own material properties during thermal simulations.

[0086] S13: Use boundary conditions and photothermal performance parameters of different translucent roofs as input parameters;

[0087] The boundary conditions can be set according to the actual environment of the translucent roof. These boundary conditions include, but are not limited to, the convective heat transfer boundaries of the roof and interior / exterior walls, the solar radiation intensity received by the outer surfaces of the roof and exterior walls, and the adiabatic boundaries of the floor. Each solution requires inputting a set of photothermal performance parameters for the translucent roof; different sets of these parameters can be input and solved separately. This step, through input of actual or design conditions, ensures that the simulation can reproduce the dynamic response under two different thermal environments: drying and spraying.

[0088] S14: Determine the turbulence model based on the airflow conditions of the indoor space;

[0089] Turbulence models are mathematical models used in fluid simulation to describe the changes in velocity and vortices under unsteady, non-laminar conditions.

[0090] When the indoor space is under air conditioning, the standard k-ε model is used to simulate the heat transfer flow process. When the indoor space is under natural ventilation, the shear stress transfer (SST) k-ω low Reynolds number model is used to simulate the heat transfer flow process.

[0091] The airflow conditions include, but are not limited to, air conditioning conditions and natural ventilation conditions. The air conditioning condition refers to the situation where the indoor air conditioning is working.

[0092] This step selects an appropriate modeling method based on the actual indoor airflow characteristics to obtain simulation results that truly reflect airflow organization, local heat accumulation, and the effects of spray convection.

[0093] S15: Solve the heat transfer flow process in the indoor space below the translucent roof based on the input parameters and the turbulence model.

[0094] Solving the heat transfer flow process involves using numerical methods to calculate the temperature field, velocity field, heat flow distribution, and ray heat conduction process inside a building, based on the established model, parameters, and boundary conditions, to reveal the accumulation and flow of hot air. This step can obtain the impact of roof heat load changes on the internal thermal environment of the building space, providing a data foundation for evaluation indicators such as PMV / APMV.

[0095] Before performing the numerical solution, a mesh independence check can be performed in this step.

[0096] For example, before the formal solution is obtained, trial calculations can be performed on the same working condition using three different meshes of varying precision (coarse, medium, and fine) to compare whether the differences in temperature or wind speed output at key points are within acceptable ranges. If the results tend to stabilize, it indicates that the simulation results are independent of mesh density and possess convergence and reliability. By introducing a mesh independence check, the rigor is enhanced, avoiding result distortion due to improper mesh settings and ensuring the accuracy and stability of subsequent PMV / APMV assessments and spray control strategy formulation.

[0097] like Figure 3 As shown, S3: Establishing the correspondence between the overheating index and average PMV or the overheating index and average APMV of a translucent roof building includes:

[0098] S31: Determine the photothermal performance parameters of the translucent roof based on environmental and spray parameters;

[0099] Environmental parameters refer to external natural conditions, such as outdoor temperature, solar radiation intensity, humidity, and wind speed; spray parameters include spray pressure, nozzle flow rate, water mist layer thickness, and spray frequency. The photothermal performance parameters of a translucent roof are comprehensive indicators reflecting its photothermal behavior, such as solar radiation transmittance, thermal conductivity, and infrared absorptivity.

[0100] S32: Obtain the solution results corresponding to the photothermal performance parameters of different light-transmitting roofs;

[0101] The solution results refer to the distribution of key physical quantities, such as indoor temperature field, wind speed field, and surface heat flux density, output based on the completed heat transfer and flow simulation. This step establishes corresponding thermal environment response datasets for multiple sets of different photothermal performance parameters, facilitating subsequent extraction for comfort and overheating index analysis.

[0102] S33: Obtain the average PMV or APMV corresponding to the light and heat performance parameters of the same light-transmitting roof based on the corresponding solution results;

[0103] After inputting the photothermal performance parameters of each set of translucent roofs, the corresponding solution results can be obtained. The average PMV or APMV calculated based on these solution results is the average PMV or APMV corresponding to the photothermal performance parameters of that set of translucent roofs.

[0104] S34: Obtain the corresponding overheating index based on the light and heat performance parameters of the translucent roof;

[0105] This step allows for the direct calculation of the corresponding overheat index based on the light and heat performance parameters of the translucent roof.

[0106] S35: Obtain the correspondence between the overheating index and the average PMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and average PMV.

[0107] S36: Obtain the correspondence between the overheating index and the average APMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and the average APMV.

[0108] This embodiment can use methods such as multiple linear regression, support vector regression (SVR), and neural networks to fit and model the paired data output by S33 and S34, and obtain a curve that can represent their functional relationship or construct a two-dimensional lookup table based on interpolation.

[0109] The ultimate goal of this step is to obtain the correspondence between the superheat index and the average PMV or the superheat index and the average APMV, so as to adjust the average PMV or APMV by monitoring the superheat index.

[0110] In this embodiment, obtaining the corresponding overheating index based on the light and heat performance parameters of the translucent roof according to S34 includes:

[0111] S341: Obtain the environmental conditions of the translucent roof, including dry conditions and spray conditions;

[0112] Dry conditions refer to the natural state without spraying, while spraying conditions refer to the state in which the roof surface is covered with water mist.

[0113] S342: Obtain direct solar radiation transmittance under dry conditions T sol,d ;

[0114] Solar radiation direct transmittance under dry conditions T sol,d This information can be obtained through material testing, supplier data sheets, standard databases, and other methods.

[0115] S343: According to the formula Determine the direct solar radiation transmittance under spray conditions ,in, T a Outdoor air temperature, in °C. Outdoor solar radiation intensity, in W / m² 2 P is the spray pressure in bar; D is the thickness of the water mist layer in meters; the solar radiation transmittance calculated by the aforementioned formula can accurately reflect the reduction in direct transmittance caused by the refraction, scattering and absorption of the water mist layer under spray conditions.

[0116] S344: The overheating index of the translucent roof building when the environmental conditions are dry. ;

[0117] S345: When the environmental conditions are misting conditions, the overheating index of the translucent roof building. .

[0118] This embodiment calculates the overheating index under different environmental conditions by measuring the direct solar radiation transmittance under different environmental conditions, so that subsequent steps can accurately control the timing of starting and stopping the spray system even under the influence of spray.

[0119] like Figure 4 As shown, in this embodiment, S4: controlling the operation of the spray system based on the correspondence between the superheat index and the average PMV or APMV includes:

[0120] S41: Obtain the overheat index of the light-transmitting roof building corresponding to the start-up conditions of the spray system based on the correspondence between the overheat index and the average PMV or APMV as the first overheat index.

[0121] In this embodiment, the first overheat index is used to represent the critical heat load value corresponding to the start-up conditions of the spray system. It is determined based on the thermal comfort evaluation model and represents that the current roof heat input has caused the indoor environment to exceed the comfort limit.

[0122] S42: Obtain the overheat index of the light-transmitting roof building corresponding to the spray system closure condition based on the correspondence between the overheat index and the average PMV or APMV as the second overheat index.

[0123] This embodiment uses a second overheat index to represent the lower limit of the heat load at which the spray system can be shut down, which in this embodiment corresponds to the state where the human body is at the lower limit of thermal comfort. The shutdown conditions can be more lenient than the startup conditions to avoid energy consumption fluctuations caused by frequent start-stop cycles. This step can be used to ensure that the spray only operates when necessary, avoiding excessive cooling and resource waste, and achieving energy-saving control.

[0124] S43: Obtain the working time period for buildings with translucent roofs;

[0125] The operating time period refers to the permitted operating hours of the misting system, which is related to building usage time and user activity periods. For example, the operating time for a shopping mall atrium might be set from 10:00 to 18:00 daily. This step incorporates time control logic to prevent the system from operating when no one is using it or during low-radiation periods at night, improving management flexibility and system intelligence. In implementation, the system obtains the current time and compares it with a preset schedule to confirm whether it is within the operating window. Through this step, misting control is not only limited by physical indicators but also considers operational efficiency, achieving a balance between energy consumption optimization and ease of maintenance.

[0126] S44: Detect the overheat index of the translucent roof building during the said working period;

[0127] In practice, outdoor air temperature can be collected by a temperature sensor installed on the outer surface of the roof, and outdoor solar radiation intensity can be collected by a solar radiation sensor installed on the outer surface of the roof. Then, the overheat index of the translucent roof can be calculated according to the aforementioned formula. .

[0128] S45: When the detected overheat index is higher than the first overheat index, control the spray system to spray;

[0129] When the system calculates the current overheat index When the value exceeds the first overheating index, it is determined that the current indoor heat load has exceeded the thermal comfort limit. The misting system should be activated immediately to increase evaporative cooling, reduce roof temperature, slow down heat transmission, and improve comfort. This step can quickly respond to heat wave loads and prevent indoor comfort from spiraling out of control. In execution, the controller sends a command to open the nozzle solenoid valve, set the pressure pump operating cycle, and start the misting system.

[0130] S46: When the detected overheat index is lower than the second overheat index, control the spray system to stop spraying.

[0131] current When the temperature drops below the second overheat index, it indicates that the indoor heat load has fallen below the thermal comfort range, and there is no need to continue spraying; the system will then shut down. This step prevents excessive cooling that could lead to energy waste or excessively cold conditions.

[0132] like Figure 5 As shown, in this embodiment, step S41: obtaining the overheat index of the translucent roof building corresponding to the start-up conditions of the spray system as the first overheat index based on the correspondence between the overheat index and the average PMV or APMV includes:

[0133] S411: Obtain the upper limit of indoor thermal comfort;

[0134] The upper limit of indoor thermal comfort refers to the upper boundary of the thermal environment that the human body can tolerate under specific operating conditions. It is usually derived from standards or scenario settings and is used to define the thermal threshold for activating a spray system. In practice, the upper limit of thermal comfort can be obtained through preset strategies or user settings. This step allows the spray system to be based on human perception, improving the human-centered adaptability of its control behavior.

[0135] S412: Determine the corresponding average PMV or APMV as the start-up condition for the misting system based on the upper limit of indoor thermal comfort.

[0136] This step, based on the determination of the upper limit of thermal comfort, selects applicable indicators to establish the start-up conditions, thereby accurately reflecting human comfort under different operating conditions. In practice, this step first determines the current air circulation condition (e.g., air conditioning mode or natural ventilation mode). If it is air conditioning mode, PMV is used as a reference; if it is natural ventilation mode, APMV is used as the evaluation parameter. This step ensures that the control method changes according to the operating condition, improving system adaptability and the accuracy of thermal response judgment.

[0137] S413: Obtain the corresponding overheat index as the first overheat index based on the correspondence between the spray system start-up conditions and the overheat index and the average PMV or APMV.

[0138] The system calls the pre-built mapping relationship between the overheating index and the average PMV or average APMV, inputs the thermal comfort threshold set in the previous step S412 (average PMV=0.5 or APMV=0.5), and retrieves the value of the corresponding overheating index as the first overheating index.

[0139] This step transforms thermal comfort assessment from complex PMV or APMV model calculations into simple physical indicators that can be collected and calculated in real time, enabling rapid control execution.

[0140] In the aforementioned manner, this embodiment can transform human perception into triggering conditions that can be perceived by sensors, thereby achieving intelligent, continuous, and automated control of spraying actions, improving the response speed and accuracy of the overall control system, and avoiding resource consumption caused by cumbersome comfort calculations.

[0141] In this embodiment, step S412: determining the corresponding average PMV or average APMV as the start-up condition for the spray system based on the upper limit of indoor thermal comfort includes:

[0142] Obtain the current air circulation conditions inside a building with a translucent roof;

[0143] "Air circulation conditions" refers to the current ventilation mode of the building's indoor space, which can be divided into air conditioning conditions (such as forced air supply or constant temperature air supply) and natural ventilation conditions (such as opening windows or natural air intake from the roof).

[0144] If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the upper limit of indoor thermal comfort is used as the start-up condition for the spray system.

[0145] If the current indoor air circulation is under natural ventilation conditions, then the average APMV that meets the upper limit of indoor thermal comfort is used as the activation condition for the misting system.

[0146] Based on the current indoor ventilation status, this step selects appropriate thermal comfort evaluation indicators to set spray triggering conditions that meet high-precision control.

[0147] This embodiment uses the aforementioned method to achieve condition-adaptive matching of the comfort control strategy, which not only avoids false triggering or control lag caused by inappropriate index selection, but also improves the system's environmental perception capability and the scientific nature of control decisions, ensuring that the spray system responds in accordance with the standards that best meet human comfort requirements.

[0148] like Figure 6 As shown, in this embodiment, step S42: obtaining the overheat index of the translucent roof building corresponding to the spray system shutdown condition as the second overheat index based on the correspondence between the overheat index and the average PMV or APMV includes:

[0149] S421: Obtain the lower limit of indoor thermal comfort;

[0150] The lower limit of indoor thermal comfort is the lowest boundary at which a person can still feel comfortable in the current usage scenario. It is generally used to determine whether active cooling measures can be terminated.

[0151] S422: Determine the corresponding average PMV or APMV as the closing condition for the misting system based on the lower limit of indoor thermal comfort; the closing condition for the misting system refers to the comfort basis for the system to trigger the misting action when it judges that the current environment has returned to the lower limit of the comfort range, and PMV or APMV is selected according to the ventilation conditions.

[0152] S423: Obtain the corresponding overheat index as the second overheat index based on the correspondence between the spray system shutdown conditions and the overheat index and the average PMV or APMV.

[0153] This step transforms the lower limit requirement of human comfort into a heat load parameter that can be sensed by sensors and calculated in real time, serving as a direct criterion for stopping the system's spraying. In implementation, the system calls the previously established mapping model between overheating indices and average PMV or average APMV, inputs the comfort lower limit value obtained from S422 (e.g., PMV = -0.5 or APMV = -0.5), and retrieves the corresponding overheating index value as a secondary overheating index. Through this step, the system maps complex comfort standards into real-time control variables with the simplest logic, thereby reducing online computational complexity, ensuring efficient response and guaranteed control accuracy of the spraying system, and providing a technical foundation for water conservation and energy saving.

[0154] In this embodiment, step S422: determining the corresponding average PMV or APMV as the shut-off condition for the spray system based on the indoor thermal comfort lower limit includes:

[0155] Obtain the current air circulation conditions inside a building with a translucent roof;

[0156] If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the lower limit of indoor thermal comfort is used as the condition for closing the misting system.

[0157] If the current indoor air circulation is under natural ventilation conditions, the average APMV that meets the lower limit of indoor thermal comfort is used as the shut-off condition for the misting system. This step selects a reasonable comfort shut-off criterion based on the current indoor air conditioning method to match the actual usage environment and user thermal sensation, making the misting system's termination behavior more in line with actual human sensation, improving the rationality of control response and energy efficiency, and avoiding premature shut-off or over-misting due to the selection of unsuitable evaluation parameters.

[0158] In the actual operation of a translucent roof misting cooling system, the start and stop of the misting often rely on a fixed overheat index. The system starts misting when the roof temperature exceeds this index and stops misting when the temperature drops to a set lower limit. While this fixed overheat control is simple in structure, it has significant limitations in variable meteorological environments. Because external conditions (such as solar radiation, wind speed, and ambient temperature) exhibit obvious periodicity and abrupt changes, the roof's thermal response also changes non-linearly over time, making it difficult for a fixed threshold to accurately reflect the actual heat load. This results in excessively frequent misting during certain periods, leading to energy waste and excessive humidity, while during periods of rapid temperature rise, the threshold response lags, resulting in untimely cooling.

[0159] Furthermore, after prolonged operation, the response characteristics of the spray control system may gradually deviate from the initial settings due to environmental differences, equipment aging, or external disturbances. For example, in hot summer weather, the roof temperature rise rate is significantly higher than on cloudy or overcast days, and if the system continues to operate at a fixed threshold, periodic oscillations are likely to occur. Therefore, in this embodiment, the method further includes:

[0160] S51: Perform statistical analysis on the historical spray start and stop records within the preset time window to obtain the spray frequency;

[0161] The preset time window refers to a fixed time period, such as 30 minutes, 1 hour, or 1 day, set by the control system for analyzing spray behavior. This time window limits the scope of data analysis, allowing threshold adjustments to be based on representative operating cycles. Spray start / stop records are time-stamped data automatically generated by the control circuit each time the spray system starts or stops, reflecting the frequency and duration of spray operations. Spray frequency refers to the number of times the spray system starts within this time window.

[0162] S52: Obtain the rate of change of ambient temperature based on continuous ambient temperature data;

[0163] The ambient temperature change rate level describes how quickly the temperature changes per unit time, and can be divided into levels such as stable, gradual, and rapid. For example, when the temperature rises by more than 2°C within 5 minutes, it can be classified as a rapid change; if the fluctuation is less than 0.5°C within 30 minutes, it is classified as stable. This indicator can reflect the strength of the impact of external climate or solar radiation on the roof.

[0164] In practice, continuous data from the temperature sensor can be read periodically. By calculating the temperature difference and time interval between adjacent sampling points, the temperature change trend can be determined. Based on the range of change rate, different levels can be assigned. The system can use a sliding time window to update the results in real time to avoid judgment errors caused by short-term anomalies. Through the aforementioned methods, the system can perceive environmental dynamics and establish time-domain characteristics, thereby enabling comprehensive judgment in subsequent steps along with spray frequency, improving the targeting and stability of threshold adjustments.

[0165] S53: Determine the threshold adjustment direction based on the spray frequency and temperature change rate level;

[0166] The threshold adjustment direction refers to the trend of the threshold that the system determines should be adjusted upwards, downwards, or remain unchanged. It depends on the combination of the two input features: spray frequency and temperature change rate level.

[0167] In practice, the system retrieves the temperature change rate level obtained in the previous step and the spray frequency result from S51, then proceeds to the decision-making stage based on matching execution conditions. The decision logic can be based on a preset rule table or an empirical weight table trained using long-term operational data. The final output is an indication of the adjustment direction: upward, downward, or unchanged.

[0168] This embodiment derives a reasonable adjustment direction through data logic, ensuring that the threshold changes conform to the current operating environment. For example, when the spray frequency is too high and the ambient temperature changes steadily, the system determines that the threshold setting is too low and needs to be adjusted upward; when the spray frequency is too low and the temperature changes drastically, the system determines that the threshold is too high and needs to be adjusted downward; when both are within the normal range, the system maintains the original threshold unchanged.

[0169] S54: Adjust the magnitude of the current threshold according to the threshold adjustment direction to obtain a new threshold candidate value;

[0170] Amplitude adjustment refers to the system making small numerical corrections to the current threshold based on the adjustment direction of the previous step, thereby generating a new candidate threshold. The adjustment amplitude can be a fixed percentage or can be controlled in stages according to the intensity of environmental fluctuations.

[0171] In practice, the system reads the current threshold from the storage unit and performs a single-step upward or downward adjustment operation based on the direction indicator output by S53. To prevent over-adjustment, a maximum variation limit can be set; simultaneously, a time delay mechanism can be employed to perform adjustment only after the environmental state has remained stable for a certain period. After a new candidate threshold value is generated, it will enter the buffer for consistency verification. Through this step, the system's threshold adjustment process becomes more flexible, avoiding the problem of over-adjustment and ensuring the stability and predictability of the spray response.

[0172] S55: Based on the previous threshold in the historical records and the new threshold candidate value, perform a consistency check to obtain the corrected dynamic threshold.

[0173] Consistency checks refer to the process by which the system verifies the direction, magnitude, and trend continuity of changes in the old and new thresholds before updating them, in order to prevent threshold oscillations or logical conflicts. This process ensures that the system's dynamic adjustments are continuous and smooth.

[0174] In practice, the system reads the most recent threshold change records and compares them with the current candidate value. If multiple consecutive opposite directions or changes exceeding limits are detected, the adjustment is delayed; if the trend is continuous and the magnitude is within the allowable range, the candidate value is confirmed as the corrected dynamic threshold and written to the main control register. This step, by adding stability constraints at the algorithm level, enables the spray system to have disturbance resistance and long-term reliability, effectively preventing system jitter or malfunctions. When the new candidate value is consistent with the previous threshold adjustment direction and the magnitude is reasonable, the system confirms the adjustment is effective; if the direction is repeated or changes too much, updates are suppressed to maintain continuity. Through this verification mechanism, the system avoids frequent spraying or premature termination of spraying under boundary conditions.

[0175] S56: Update the overheat index based on the corrected dynamic threshold and the current overheat index.

[0176] The system first acquires the latest environmental parameters and roof temperature, and recalculates the current overheat index using existing heat load assessment methods. Then, it adjusts the judgment boundary based on the revised dynamic threshold, ensuring that spray control operates within the new reference framework. If the overheat index exceeds the activation threshold, the system immediately triggers spraying; if it falls below the shutdown threshold, spraying is stopped. This step ensures that the spray control logic maintains consistency and accuracy in a constantly changing environment, thereby achieving dynamic stability and minimizing energy consumption.

[0177] In this embodiment, the method further includes:

[0178] S61: Determine the incident direction of sunlight and the distribution of radiation intensity on the roof based on the current time, date and building orientation;

[0179] The incident direction of sunlight refers to the angle between the sun's rays and the normal to the building's roof, used to describe the spatial angular distribution of solar radiation on the roof surface; the radiation intensity distribution refers to the distribution of direct or diffuse solar radiation power density received by different areas of the roof. Building orientation information includes the roof's orientation (e.g., south-facing, east-facing) and tilt angle, which determine the roof's light reception characteristics at different times.

[0180] The system can obtain the current time and date from the system clock module, calculate the solar altitude angle and azimuth angle based on the geographical location, and then combine this with the building's orientation parameters to determine the incident direction of sunlight on the roof. Simultaneously, it can obtain the current solar radiation intensity through radiation sensors or an external meteorological data interface and map it onto different areas of the roof to form a radiation intensity distribution model.

[0181] S62: Based on the incident direction of light and the distribution of radiation intensity, obtain the trend of solar radiation changes within a future preset time period;

[0182] The solar radiation variation trend refers to the direction and rate of change of solar radiation intensity over a future period, used to describe the increase or decrease of radiant energy over time. The preset time period can be set to 5 minutes, 15 minutes, or longer cycles according to system requirements, typically matching the spray control cycle.

[0183] Based on the current incident angle of sunlight and a model of the sun's trajectory, the system can predict changes in the solar altitude and azimuth angles over a preset time period and adjust the radiation intensity distribution accordingly. By combining historical radiation curves with current measurement data, differential analysis or trend extrapolation can be used to determine whether radiation is increasing, stabilizing, or decreasing. The system ultimately outputs a qualitative trend signal to guide the next step of sunlight azimuth prediction. Through this process, the system no longer relies on environmental data at a single moment but obtains predictive information over time, enabling it to identify phases of rising or falling radiation in advance and transitioning from passive response to proactive prediction.

[0184] S63: Obtain illumination azimuth prediction information based on the trend of solar radiation changes within a future preset time period;

[0185] Sunlight orientation prediction information is a prediction result obtained by integrating solar radiation trends, building orientation, and roof incidence characteristics. It is used to reflect the future trend of light intensity changes in various roof areas. It includes not only the direction of radiation intensity changes, but also the spatial changes in the distribution of illuminated areas, such as the roof changing from uniform illumination to localized strong illumination or shading.

[0186] This step generates predictive information that can be directly used for threshold advance adjustment, enabling the system to adjust the spray start-up and shutdown conditions in advance based on future sunlight change trends and dynamic overheating index changes. When it is predicted that solar radiation will rapidly increase or that the direct sunlight area is about to move to the critical roof area, the system can lower the spray threshold in advance; when it is predicted that sunlight will weaken or turn cloudy, the threshold can be appropriately increased.

[0187] S64: Determine the pre-adjustment direction and compensation range based on the predicted illumination orientation information and the current trend of overheating index;

[0188] The pre-adjustment direction refers to the trend of the threshold being adjusted upwards or downwards in the next stage, while the compensation magnitude indicates the size of the adjustment, used to reflect the intensity of the predicted change.

[0189] In practice, the predicted light intensity trend is compared with the direction of change in the overheating index. Based on the combination, three pre-adjustment directions are determined: downward adjustment, upward adjustment, or maintenance. Subsequently, based on factors such as the duration of the predicted change, the roof's light-receiving area, and the rate of temperature rise, the compensation magnitude is divided into three levels: high, medium, and low. The final generated adjustment instruction includes a direction indicator and a compensation level, which is used to guide subsequent threshold adjustments.

[0190] Through this step, the system can achieve the fusion of prediction feedforward and state feedback. By using the fusion results of the illumination orientation prediction information and the current changes in the overheat index, the spray control can be transformed from simply responding to environmental changes to actively predicting and executing in advance, effectively shortening the thermal response time, avoiding overheating lag, and improving the overall cooling uniformity and energy efficiency.

[0191] S65: Perform pre-adjustment of the dynamic threshold with illumination compensation based on the pre-adjustment direction and compensation amplitude.

[0192] Light compensation pre-adjustment refers to the superimposition of light prediction-guided fine-tuning on the results of conventional dynamic threshold adjustment, enabling the threshold to adapt to future light changes. The dynamic threshold here is derived from the adaptive calculation results of the previous cycle and is the core parameter for determining the system's spray start and stop.

[0193] In practice, the system calls the pre-adjustment direction and compensation amplitude output by S64 to numerically correct the dynamic threshold. The adjustment process can employ segmented control logic, i.e., performing large adjustments when the light intensity change trend is obvious, and performing fine adjustments when the change is slow. The adjusted threshold is written to the threshold register or control buffer for use in determining the start and stop of spraying in the next cycle. The system also records the adjustment results for subsequent learning and correction.

[0194] Through this step, the system achieves predictive-driven feedforward compensation without changing the hardware structure, making the spray start-up and shutdown smoother and more energy-efficient, and effectively preventing sudden increases in roof temperature during periods of strong radiation, significantly improving thermal comfort and operational efficiency.

[0195] In this embodiment, by combining solar radiation azimuth prediction information with the current trend of overheating indicators, the system can simultaneously consider the spatial variations of future solar radiation and the real-time thermal state of the roof, thereby achieving dual decision optimization that is both forward-looking and real-time. Solar radiation azimuth prediction information provides the trend of future radiation enhancement or reduction, while the overheating indicator reflects the current rate of heat accumulation on the roof. The combination of these two factors allows the system to not only predict upcoming heat load changes but also determine whether the roof has thermal responsiveness. Therefore, the spray control can proactively intervene before the heat load truly increases, and automatically delay its start or stop it early when radiation weakens or the temperature drops, achieving a dynamic balance between spray start and stop. This collaborative judgment mechanism effectively avoids delays or over-response caused by single-parameter control, making spray adjustment more precise and stable, and significantly improving the system's energy efficiency and the comfort and balance of roof temperature control.

[0196] In this embodiment, step S64: determining the pre-adjustment direction and compensation magnitude based on the predicted illumination orientation information and the current trend of overheating index further includes:

[0197] S641: Based on the predicted direction of future solar radiation intensity, the radiation trend is determined. The radiation trend refers to the direction and rate of change of solar radiation intensity over a certain period, reflecting the dynamic changes in solar energy's impact on roof heat input. For example, when the solar altitude angle increases, the incident angle becomes more vertical, and cloud cover decreases, the radiation trend shows enhancement; conversely, when the solar angle deviates or cloud cover increases, it shows weakening. This step uses the predicted direction of future solar radiation to identify the direction of change in future solar radiation in advance, enabling the system to adjust its control logic before significant changes in heat load occur. Unlike traditional passive response methods based on real-time monitoring, this approach intervenes in the threshold adjustment process in advance from a time perspective.

[0198] In practice, the system calculates the changes in solar azimuth and altitude angles for a preset future time period based on the current time, geographical coordinates, and building orientation, and estimates the corresponding direction of radiation intensity change using a radiation model. The system categorizes the prediction results into three trend signals: enhancement, weakening, or stability.

[0199] Through this step, the system establishes a sensing mechanism for future radiation changes, realizing the transformation from static response to dynamic prediction, enabling subsequent threshold adjustment to have time foresight and initiative, and significantly reducing the response lag during the high temperature surge phase.

[0200] S642: Determine the temperature change trend of the roof thermal state based on the direction of change of the current overheat index within the continuous monitoring period;

[0201] Temperature change trends refer to the direction of heat accumulation or dissipation on the roof over multiple consecutive monitoring periods, reflecting the evolution of the current thermal environment. Overheating indicators can be understood as quantitative parameters of roof surface temperature, internal heat flux, or equivalent heat load. By analyzing their temporal changes, it can be determined whether the roof is in a heating, cooling, or stable phase.

[0202] This step provides the system with a basis for judging the current thermal response state, enabling the control logic to not only rely on external light prediction but also reflect the roof's own thermal dynamic characteristics. When the roof temperature continues to rise, the system should increase the spray sensitivity; when the temperature tends to stabilize or slowly decrease, the spray response should be delayed.

[0203] The system periodically collects roof temperature or infrared sensor output data and calculates the direction of change of overheating indicators over multiple monitoring cycles. If the trend is upward for several consecutive cycles, it is determined to be a temperature rise; if it is downward for several consecutive cycles, it is determined to be a temperature drop; if the fluctuation value is less than the preset threshold, it is determined to be stable.

[0204] This step enables the system to complement the radiation trend of S641 based on the changes in the roof's thermal state, allowing the spray control to accurately suppress the effects of future light input and current heat load output, thereby improving control accuracy and adaptability.

[0205] S643: When the radiation change trend is an increasing radiation trend and the temperature change trend is an increasing temperature trend, the pre-adjustment direction is determined to be to reduce the dynamic threshold.

[0206] The pre-adjustment direction refers to the target direction of threshold change in the threshold control logic. Here, it means lowering the dynamic threshold, which implies triggering the spray action in advance. When the roof shows both increased radiation and a warming trend, it indicates that rapid heat accumulation is about to occur. If the threshold is not lowered in advance, it may lead to a lag in the spray response.

[0207] The system monitors the trend output signals of S641 and S642. When both are trending upwards, it automatically issues a threshold reduction command. The threshold reduction amount can be dynamically set according to the radiation enhancement rate and the temperature rise rate; for example, a larger reduction is performed when radiation enhancement is rapid. This step achieves precise early response through dual-trend matching, reducing high-temperature lag and significantly improving the stability of the roof thermal environment and the cooling response speed.

[0208] S644: When the radiation change trend is a radiation decrease trend and the temperature change is a temperature increase trend, the pre-adjustment direction is determined to be to increase the dynamic threshold.

[0209] In this situation, the reduced radiant heat input and temperature drop on the roof indicate that the roof's heat load is naturally decreasing. Maintaining a low threshold at this time would lead to excessive spraying or wasted energy. The purpose of increasing the dynamic threshold is to reduce ineffective spraying and maintain optimal system energy efficiency.

[0210] This step automatically delays the spray control response during the cooling phase, avoiding repeated cooling and energy waste. By increasing the threshold, the system can make the spray triggering conditions more stringent, thereby extending the spray interval and reducing water consumption.

[0211] S645: When the radiation trend is inconsistent with the overheating index trend, the pre-adjustment direction is determined to remain unchanged. Inconsistent trends in this step include situations where radiation increases but temperature does not rise, or radiation decreases but temperature still rises. This is usually due to transient mismatch caused by short-term environmental fluctuations or local thermal inertia. This step suspends threshold adjustment when trend signals contradict each other to prevent false triggering or frequent adjustments. Immediate adjustment when signal directions are inconsistent may cause system jitter or temperature fluctuations.

[0212] S646: Based on the duration of future radiation changes, the roof's sun-receiving area, and the rate of change of overheating indicators, the compensation range is divided into corresponding levels.

[0213] The compensation magnitude represents the intensity level of the threshold adjustment, comprehensively reflecting the persistence and intensity characteristics of environmental changes. The duration of radiation change represents the stability of the trend, and the roof's sun-receiving area represents the range of heat exposure.

[0214] This step is used to implement tiered flexible control of the threshold adjustment, enabling the system to adopt a matched response amplitude for radiation changes of different intensities. If the radiation enhancement time is long, the light-receiving area is large, and the temperature rise rate is fast, high-amplitude compensation is performed; otherwise, low-amplitude compensation is performed.

[0215] During implementation, the system integrates three input parameters and uses weighted scoring or interval mapping to determine the compensation level, outputting high, medium, and low compensation levels. This step optimizes spray control, transforming the pre-adjustment process from a simple start-stop operation to a precise adjustment based on multi-parameter adaptive calculation, significantly improving the smoothness of spray start-stop and the accuracy of energy consumption control.

[0216] S647: Update the dynamic threshold with illumination compensation based on the pre-adjustment direction and compensation amplitude.

[0217] The dynamic threshold with illumination compensation is a control parameter that the system has comprehensively corrected based on environmental predictions and feedback trends. It serves as the basis for determining the start and stop of spraying in the next cycle.

[0218] This step enables simultaneous optimization of spray control across three dimensions: time, space, and thermal state. By combining pre-adjustment direction with compensation magnitude, the system can maintain stability while possessing extended response capabilities.

[0219] By adopting the aforementioned method, the system uses dynamic threshold updates driven by illumination prediction to ensure that the start and stop of the spray is synchronized with changes in radiation, avoiding energy waste and response lag, thereby significantly improving the temperature control performance, comfort and energy efficiency of the translucent roof building.

[0220] Example 2

[0221] like Figure 7 As shown, this embodiment provides a light-transmitting roof spray cooling system. The light-transmitting roof spray cooling system includes a temperature sensor, a solar radiation sensor, a spray system, and a control circuit. The temperature sensor and the solar radiation sensor are installed on the outer surface of the light-transmitting roof building. The control circuit is electrically connected to the temperature sensor, the solar radiation sensor, and the spray system, respectively. The control circuit includes at least one processor, at least one memory, and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the method described in Embodiment 1 is implemented.

[0222] The above description is merely a specific embodiment of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for spray cooling of translucent roof buildings, characterized in that, The method includes: S1: Using different light-transmitting roof photothermal performance parameters as input, simulate and solve the heat transfer flow process in the indoor space under the light-transmitting roof under dry and spray conditions; S2: Based on the solution results, obtain the average PMV or average APMV of the indoor space under dry and spray conditions; S3: Establish the correspondence between the overheating index and average PMV or the overheating index and average APMV of translucent roof buildings; S4: Control the operation of the spray system based on the correspondence between the superheat index and the average PMV or the superheat index and the average APMV; S3: Establishing the correspondence between the overheating index and average PMV or the overheating index and average APMV of a translucent roof building includes: S31: Determine the photothermal performance parameters of the translucent roof based on environmental and spray parameters; S32: Obtain the solution results corresponding to the photothermal performance parameters of different light-transmitting roofs; S33: Based on the corresponding solution results, obtain the average PMV and average APMV corresponding to the light and heat performance parameters of the same light-transmitting roof; S34: Obtain the corresponding overheating index based on the light and heat performance parameters of the translucent roof; S35: Obtain the correspondence between the overheating index and the average PMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and average PMV. S36: Obtain the correspondence between the overheating index and the average APMV based on the correspondence between the light and heat performance parameters of the translucent roof and the overheating index and the average APMV; The process of obtaining the corresponding overheating index based on the light and heat performance parameters of the translucent roof, as described in S34, includes: S341: Obtain the environmental conditions of the translucent roof, including dry conditions and spray conditions; S342: Obtain direct solar radiation transmittance under dry conditions T sol,d ; S343: According to the formula Determine the direct solar radiation transmittance under spray conditions ,in, T a Outdoor air temperature, unit: o C, Outdoor solar radiation intensity, in W / m² 2 P is the spray pressure, in bar; D is the water mist layer thickness, in meters. S344: The overheating index of the translucent roof building when the environmental conditions are dry. ; S345: When the environmental conditions are misting conditions, the overheating index of the translucent roof building. ; in Temperature of the outer surface of the translucent roof, in units of o C.

2. The spray cooling method for translucent roof buildings according to claim 1, characterized in that, S4: Controlling the operation of the spray system based on the correspondence between the superheat index and average PMV or the superheat index and average APMV includes: S41: Obtain the overheat index of the light-transmitting roof building corresponding to the start-up conditions of the spray system based on the correspondence between the overheat index and the average PMV or the overheat index and the average APMV, and use it as the first overheat index. S42: Obtain the overheat index of the light-transmitting roof building corresponding to the spray system closure condition as the second overheat index based on the correspondence between the overheat index and the average PMV or the overheat index and the average APMV. S43: Obtain the working time period for buildings with translucent roofs; S44: Detect the overheat index of the translucent roof building during the said working period; S45: When the detected overheat index is higher than the first overheat index, control the spray system to spray; S46: When the detected overheat index is lower than the second overheat index, control the spray system to stop spraying.

3. The spray cooling method for translucent roof buildings according to claim 2, characterized in that, S41: Obtaining the overheat index of the translucent roof building corresponding to the start-up conditions of the spray system as the first overheat index based on the correspondence between the overheat index and the average PMV or the overheat index and the average APMV includes: S411: Obtain the upper limit of indoor thermal comfort; S412: Determine the corresponding average PMV or average APMV as the start-up condition for the misting system based on the upper limit of indoor thermal comfort. S413: Obtain the corresponding overheat index as the first overheat index based on the correspondence between the spray system start-up conditions and the overheat index and the average PMV or average APMV.

4. The spray cooling method for translucent roof buildings according to claim 3, characterized in that, S412: Determining the corresponding average PMV or average APMV as the start-up condition for the misting system based on the upper limit of indoor thermal comfort includes: Obtain the current air circulation conditions inside a building with a translucent roof; If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the upper limit of indoor thermal comfort is used as the start-up condition for the spray system. If the current indoor air circulation is under natural ventilation conditions, then the average APMV that meets the upper limit of indoor thermal comfort is used as the activation condition for the misting system.

5. The spray cooling method for translucent roof buildings according to claim 2, characterized in that, S42: Obtaining the overheat index of the translucent roof building corresponding to the spray system shutdown condition as the second overheat index based on the correspondence between the overheat index and the average PMV or the overheat index and the average APMV includes: S421: Obtain the lower limit of indoor thermal comfort; S422: Determine the corresponding average PMV or average APMV as the shut-off condition for the misting system based on the lower limit of indoor thermal comfort. S423: Obtain the corresponding overheat index as the second overheat index based on the correspondence between the spray system shutdown conditions and the overheat index and the average PMV or average APMV; S422: Determining the corresponding average PMV or average APMV as the shut-off condition for the spray system based on the lower limit of indoor thermal comfort includes: Obtain the current air circulation conditions inside a building with a translucent roof; If the current indoor air circulation is in air conditioning mode, then the average PMV that meets the lower limit of indoor thermal comfort is used as the condition for closing the misting system. If the current indoor air circulation is under natural ventilation conditions, then the average APMV that meets the lower limit of indoor thermal comfort is used as the condition for shutting down the spray system.

6. The spray cooling method for translucent roof buildings according to claim 5, characterized in that, Also includes: S51: Perform statistical analysis on the historical spray start and stop records within the preset time window to obtain the spray frequency; S52: Obtain the rate of change of ambient temperature based on continuous ambient temperature data; S53: Determine the threshold adjustment direction based on spray frequency information and temperature change rate level; S54: Adjust the magnitude of the current threshold according to the threshold adjustment direction to obtain a new threshold candidate value; S55: Based on the previous threshold in the historical records and the new threshold candidate value, perform a consistency check to obtain the corrected dynamic threshold. S56: Update the overheat index based on the corrected dynamic threshold and the current overheat index.

7. The spray cooling method for translucent roof buildings according to claim 6, characterized in that, The method further includes: S61: Determine the incident direction of sunlight and the distribution of radiation intensity on the roof based on the current time, date and building orientation; S62: Based on the incident direction of light and the distribution of radiation intensity, obtain the trend of solar radiation changes within a future preset time period; S63: Obtain illumination azimuth prediction information based on the trend of solar radiation changes within a future preset time period; S64: Determine the pre-adjustment direction and compensation range based on the predicted illumination orientation information and the current trend of overheating index; S65: Perform pre-adjustment of the dynamic threshold with illumination compensation based on the pre-adjustment direction and compensation amplitude.

8. A light-transmitting roof misting cooling system, characterized in that, The translucent roof spray cooling system includes a temperature sensor, a solar radiation sensor, a spray system, and a control circuit. The temperature sensor and the solar radiation sensor are installed on the outer surface of the translucent roof building. The control circuit is electrically connected to the temperature sensor, the solar radiation sensor, and the spray system, respectively. The control circuit includes at least one processor, at least one memory, and computer program instructions stored in the memory. When the computer program instructions are executed by the processor, the method as described in any one of claims 1-7 is implemented.

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