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

Abstract

The invention relates to the technical field of buildings, in particular to a spray cooling method for a light-transmitting roof building and a spray cooling system for a light-transmitting roof. The spraying cooling method for the light-transmitting roof building comprises the steps that S1, different light-transmitting roof photo-thermal performance parameters serve as input, and the heat transfer flowing process of an indoor space below the light-transmitting roof building under the drying condition and the spraying condition is simulated and solved; s2, the average PMV or APMV of the corresponding indoor space under the drying condition and the spraying condition is obtained according to the solving result; s3, establishing a corresponding relation between the overheating index and the average PMV or between the overheating index and the average APMV of the light-transmitting roof building; and S4, the spraying system is controlled to work according to the corresponding relation between the overheating index and the average PMV or the corresponding relation between the overheating index and the average APMV. According to the invention, accurate adjustment of indoor thermal comfort can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of building technology, in particular to a spray cooling method for a light-transmitting roof building and a light-transmitting roof spray cooling system. BACKGROUND

[0002] In order to effectively improve the natural lighting environment in the room and reduce the energy consumption of building lighting, the related technical personnel currently proposes to apply a large-area transparent daylighting roof in large public buildings. However, the application of the transparent daylighting roof is easy to cause the deterioration of the indoor thermal environment, and for this reason, the related technical personnel proposes to use the spray cooling energy-saving technology to improve the indoor thermal environment and improve the thermal comfort of the indoor users. For example, the related technical personnel has proposed to first establish a relationship curve between the roof outer surface temperature and the APMV, and then determine the pump start temperature and the pump stop temperature according to the outer surface temperature corresponding to the upper limit of the indoor thermal comfort and the minimum temperature maintained by the roof outer surface in a single spray, and spray the roof outer surface when the real-time temperature is higher than the pump start temperature, and close the spray valve and the spray pump when the roof outer surface temperature is lower than the pump stop temperature in the spray process. However, for the light-transmitting roof building with the spray process, the change of the outer surface temperature is difficult to accurately reflect the thermal comfort of the room, and therefore the aforementioned method of controlling the spray of the spray system according to the detected outer surface temperature to adjust the indoor temperature cannot accurately adjust the indoor thermal comfort. SUMMARY

[0003] Therefore, the embodiments of the present application provide a spray cooling method and a control method for a light-transmitting roof building to solve the technical problem that the existing spray cooling method for the light-transmitting roof building cannot accurately adjust the indoor thermal comfort.

[0004] In a first aspect, the present application provides a spray cooling method for a light-transmitting roof building, and the spray cooling method for the light-transmitting roof building is characterized in that the method comprises: S1: taking different light-heat performance parameters of the light-transmitting roof as inputs, simulating and solving the heat transfer flow process of the indoor space below the light-transmitting roof building under dry conditions and under spray conditions; S2: obtaining the average PMV or APMV of the indoor space under dry conditions and under spray conditions according to the results of the solving; S3: establishing a corresponding relationship between the overheating index of the light-transmitting roof building and the average PMV or APMV; S4: controlling the work of the spray system according to the corresponding relationship between the overheating index and the average PMV or APMV.

[0005] Preferably, the S3: establishing a corresponding relationship between the overheating index of the light-transmitting roof building and the average PMV or APMV comprises: 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: 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; 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.

[0006] Preferably, the overheating index obtained according to S31: the photothermal performance parameters of the translucent roof 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, 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). S314: The overheating index of the translucent roof building when the environmental conditions are dry. ; S315: When the environmental conditions are spray conditions, the overheat index of the translucent roof building. .

[0007] 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: 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. 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. S43: obtaining a working time period of the light-transmitting roof building; S44: detecting an overheating index of the light-transmitting roof building when in the working time period; S45: controlling the spraying system to start spraying when the detected overheating index is higher than the first overheating index; S46: controlling the spraying system to stop spraying when the detected overheating index is lower than the second overheating index.

[0008] Preferably, the S41: obtaining the overheating index corresponding to the spraying system starting condition of the light-transmitting roof building as the first overheating index according to the correspondence between the overheating index and the average PMV or APMV comprises: S411: obtaining an indoor thermal comfort upper limit; S412: determining the corresponding average PMV or APMV as the spraying system starting condition according to the indoor thermal comfort upper limit; S413: obtaining the corresponding overheating index as the first overheating index according to the spraying system starting condition and the correspondence between the overheating index and the average PMV or APMV.

[0009] Preferably, the S412: determining the corresponding average PMV or APMV as the spraying system starting condition according to the indoor thermal comfort upper limit comprises: obtaining a current air circulation condition of the light-transmitting roof building indoors; if the current air circulation condition indoors is an air conditioning condition, taking the average PMV satisfying the indoor thermal comfort upper limit as the spraying system starting condition; if the current air circulation condition indoors is a natural ventilation condition, taking the average APMV satisfying the indoor thermal comfort upper limit as the spraying system starting condition.

[0010] Preferably, the S42: obtaining the overheating index corresponding to the spraying system closing condition of the light-transmitting roof building as the second overheating index according to the correspondence between the overheating index and the average PMV or APMV comprises: S421: obtaining an indoor thermal comfort lower limit; S422: determining the corresponding average PMV or APMV as the spraying system closing condition according to the indoor thermal comfort lower limit; S423: obtaining the corresponding overheating index as the second overheating index according to the spraying system closing condition and the correspondence between the overheating index and the average PMV or APMV.

[0011] Preferably, the S422: determining the corresponding average PMV or APMV as the spraying system closing condition according to the indoor thermal comfort lower limit comprises: obtaining a current air circulation condition of the light-transmitting roof building indoors; If the current air flow condition of the indoor space is an air conditioning condition, the average PMV satisfying the lower limit of the indoor thermal comfort is used as the spray system closing condition. If the current air flow condition of the indoor space is a natural ventilation condition, the average APMV satisfying the lower limit of the indoor thermal comfort is used as the spray system closing condition.

[0012] Preferably, the S1: using different light-transmitting roof light-thermal performance parameters as inputs, simulating and solving the heat flow process of the indoor space under the light-transmitting roof building under dry conditions and spray conditions comprises: S11: establishing a geometric model of the light-transmitting roof building; S12: according to the material types of each part of the light-transmitting roof building, assigning material properties to the corresponding parts of the geometric model; S13: inputting boundary conditions and different light-transmitting roof light-thermal performance parameters as input parameters; S14: determining a turbulence model according to the air flow condition of the indoor space; S15: solving the heat flow process of the indoor space under the light-transmitting roof according to the input parameters and the turbulence model.

[0013] In a second aspect, the present application provides a light-transmitting roof spray cooling system, which applies the spray cooling method of the light-transmitting roof building in the first aspect. The light-transmitting roof spray cooling system comprises 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 with the temperature sensor, the solar radiation sensor and the spray system respectively. The control circuit comprises 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 the first aspect is realized.

[0014] In summary, the beneficial effects of the present application are as follows: The light-transmitting roof building spray cooling method and the light-transmitting roof spray cooling system provided by the application simulate and solve the heat flow process of the indoor space under the light-transmitting roof building by taking different light-transmitting roof light and heat performance parameters as inputs, and then obtain the corresponding indoor average PMV or APMV, and the mapping relationship between the overheating index and the thermal comfort parameter is established based on the simulation results, and finally the intelligent start-stop control of the spray system is realized through the relationship. Compared with the traditional control method which only depends on the roof surface temperature, the intelligent start-stop control method of the application emphasizes the role of the spray system in adjusting the indoor comfort and improves the regulation accuracy, can more accurately reflect the actual thermal sensation of the human body, realize the accurate matching of the spray response and the human comfort, effectively improve the accuracy and practicality of the spray control, and avoid false triggering or regulation lag. The application also supports adaptive switching of thermal comfort indexes of two types of working conditions, natural ventilation and air conditioning, enhances the adaptability of the system in different building scenes, and converts the human comfort demand into an overheating index that can be monitored in real time, so that the control system can operate efficiently without complex calculation, and the response efficiency, energy saving effect and comfort protection ability of the spray cooling system are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed in the embodiments of the application will be briefly introduced below. For those skilled in the art, other drawings can also be obtained without creative labor on the premise that these drawings are within the protection scope of the application.

[0016] Figure 1 is a flowchart of the light-transmitting roof building spray cooling method of the application.

[0017] Figure 2 is a flowchart of the method for simulating and solving the heat flow process of the indoor space under the light-transmitting roof building of the application.

[0018] Figure 3 is a flowchart of the method for establishing the correspondence between the overheating index and the indoor thermal comfort in the application.

[0019] Figure 4 is a flowchart of the method for controlling the spray system according to the overheating index in the application.

[0020] Figure 5 is a flowchart of the method for determining the overheating index corresponding to the spray system start condition in the application.

[0021] Figure 6 is a flowchart of the method for determining the overheating index corresponding to the spray system shutdown condition in the application.

[0022] Figure 7Structure block diagram of the spray cooling system of the light-transmitting roofing building of the present application. DETAILED DESCRIPTION

[0023] The features and exemplary embodiments of various aspects of the present application will be described below in detail, in order to make the purposes, technical solutions and advantages of the present application more clear and apparent, the present application will be further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present application, and are not configured to limit the present application. The present application can be implemented without some of these specific details for those skilled in the art. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0024] It should be noted that, in this paper, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitations, the elements defined by the statement "include" do not exclude the presence of other identical elements in the process, method, article or equipment including the elements.

[0025] It should be noted that all the actions of obtaining signals, information or data in the present application are carried out in accordance with the corresponding data protection regulations and policies of the place, and with the authorization given by the owner of the corresponding device.

[0026] Embodiment 1 See Figure 1 The present embodiment provides a light-transmitting roofing building spray cooling method, which comprises: S1: Taking different light-transmitting roofing light-thermal performance parameters as input, simulating and solving the heat flow process of the indoor space below the light-transmitting roofing building under dry conditions and spray conditions; The light-transmitting roof light-thermal performance parameters refer to a set of values reflecting the light-transmitting and heat-absorbing capacity of the roof material under different environmental conditions, and commonly include solar radiation transmittance, reflectivity, heat conduction coefficient, etc. For example, the direct transmittance of PC plates and glass under high temperature and high radiation conditions is different. In this embodiment, the light-transmitting roof light-thermal performance parameters include, but are not limited to, the solar radiation heat gain coefficient, the solar radiation direct transmittance, and the visible light transmittance. The light-transmitting roof light-thermal performance parameters are different under dry conditions and under spraying conditions. The light-transmitting roof light-thermal performance parameters are also different under different spraying conditions.

[0027] The heat transfer flow process refers to the process of heat energy transfer and distribution between air and components in the building space through radiation, convection and conduction.

[0028] In this embodiment, the heat transfer flow process of the indoor space under the light-transmitting roof building under dry conditions and the heat transfer flow process of the indoor space under the light-transmitting roof building under spraying conditions are simulated and solved. In the specific implementation, a plurality of different light-transmitting roof light-thermal performance parameters can be set and input for solving, so as to obtain the heat transfer flow process corresponding to different light-transmitting roof light-thermal performance parameters. Through the simulation of the thermodynamic behavior under different environments, the adjustment capability of the spraying cooling on the indoor thermal environment is obtained, thereby providing basic data support for subsequent thermal comfort calculation and control strategy.

[0029] S2: obtaining the average PMV or APMV of the indoor space under dry conditions and under spraying conditions according to the solving result; PMV (Predicted Mean Vote) is an index for quantifying thermal comfort, reflecting the average subjective voting value of people on cold and heat in a certain environment, and the range is usually -3 (cold) to +3 (hot); APMV is a modified form of PMV under natural ventilation conditions, considering the influence of wind speed perception and thermal adaptability, and is more suitable for buildings without mechanical air conditioning systems.

[0030] In this step, the PMV or APMV distribution of the indoor space under dry conditions can be calculated according to the solving result, and then the average PMV can be obtained by integrating the PMV of the space distribution, or the average APMV can be obtained by integrating the APMV of the space distribution. In this step, the temperature, humidity, wind speed, etc. obtained by simulation can be combined with the human physiological model to calculate the thermal comfort index, so as to quantify the comfort improvement effect under dry and spraying conditions.

[0031] S3: establishing the corresponding relationship between the overheating index of the light-transmitting roof building and the average PMV or APMV; In this embodiment, the overheating index is an index for reflecting the heat accumulation degree of the building space, which can be determined by factors such as roof temperature, solar radiation, and material transmittance.

[0032] This step establishes the correspondence between the overheating index of the light-transmitting roof building and the average PMV, or the correspondence between the overheating index of the light-transmitting roof building and the average APMV. This step maps the structural thermal response index to the human thermal comfort index, so that the system can accurately determine whether to start the spray system through easily sensed data.

[0033] S4: Control the operation of the spray system according to the correspondence between the overheating index and the average PMV or APMV.

[0034] In specific implementation, first determine the current airflow condition. If the airflow condition is the indoor air conditioning condition, control the operation of the spray system according to the correspondence between the overheating index and the average PMV. If the airflow condition is the natural ventilation condition, control the operation of the spray system according to the correspondence between the overheating index and the average APMV. Controlling the operation of the spray system can change the building surface state by scheduling the opening and closing of the spray head, the spray pressure or the time period, thereby affecting the light-thermal load and adjusting the indoor temperature and humidity environment. The start condition and the stop condition are determined by the aforementioned mapping relationship, and correspond to the upper limit and the lower limit of the indoor thermal comfort, respectively. This step is used to evaluate the roof overheating degree in real time and trigger the spray decision in actual operation, and dynamically maintain the indoor thermal comfort interval.

[0035] As shown in Figure 2 In this embodiment, S1: different light-transmitting roof light-thermal performance parameters are taken as inputs to simulate and solve the heat flow process of the indoor space under the light-transmitting roof building under dry conditions and spray conditions, which specifically includes: S11: Establish a geometric model of the light-transmitting roof building; The geometric model in this embodiment refers to restoring the building space in the simulation environment to a virtual space framework composed of geometric entities, to describe the shape, size and spatial relationship of the boundaries such as walls, roofs, doors and windows. This step can establish a basic framework for subsequent physical field simulation, so that the model can truly express the constraint effect of the building structure on the heat flow and airflow. In specific implementation, the building size data can be extracted based on the architectural design drawings through CAD software or BIM platform, and modeling tools such as ANSYS, Fluent, COMSOL, SketchUp are used to build a three-dimensional model, to ensure accurate restoration of roof slope, windowed area, wall thickness and other elements.

[0036] S12: Assign material properties to the corresponding parts of the geometric model according to the material types of each part of the light-transmitting roof building; Since the material type of the light-transmitting roof building affects the heat transfer process, this step assigns material properties to each part of the geometric model, so that the subsequent simulation can accurately reflect the heat transfer process. The material properties include the thermal properties of the building component materials, such as thermal conductivity, specific heat capacity, density, light transmittance, emissivity, etc. These parameters determine the material's absorption, conduction, and transmission behavior of heat and light. By assigning material properties, the geometric model can have physical response capabilities, allowing each component to correctly participate in energy transfer during thermal simulation based on its material properties.

[0037] S13: Assigning boundary conditions and different light-transmitting roof light-thermal performance parameters as input parameters; The boundary conditions can be set according to the actual environment in which the light-transmitting roof is located. The aforementioned boundary conditions include but are not limited to the convective heat transfer boundary of the roof and the inner and outer walls, the solar radiation intensity received by the outer surface of the roof and the outer wall, and the thermal insulation boundary of the floor. Each time a set of light-transmitting roof light-thermal performance parameters is input, different sets of light-transmitting roof light-thermal performance parameters can be input and solved separately. In this step, by inputting actual or design conditions, it is ensured that the simulation can reproduce the dynamic response under dry and sprayed two different thermal environments.

[0038] S14: Determining the turbulence model according to the air flow condition of the indoor space; The turbulence model is a mathematical model used in fluid simulation to describe the changes in flow velocity and vortices under non-steady and non-laminar flow conditions.

[0039] When the indoor space is under air conditioning conditions, the standard k-ε model is used to simulate the heat transfer and flow process, and when the indoor space is under natural ventilation conditions, the shear stress transport (SST) k-ω low Reynolds number model is used to simulate the heat transfer and flow process.

[0040] The air flow condition includes but is not limited to air conditioning conditions and natural ventilation conditions. The air conditioning condition is when the indoor space has an air conditioner working.

[0041] This step selects the appropriate modeling method according to the actual indoor air flow characteristics, thereby obtaining simulation results that truly reflect the air flow organization, local heat accumulation, and the influence of spray convection, etc.

[0042] S15: Solving the heat transfer and flow process of the indoor space under the light-transmitting roof based on the input parameters and the turbulence model.

[0043] Solving the heat transfer and flow process means calculating the temperature field, velocity field, heat flow distribution, and ray heat conduction process inside the building based on the established model, parameters, and boundary conditions, to reveal the aggregation and flow of hot air. This step can obtain the influence of roof heat load changes on the indoor thermal environment of the building, providing data basis for PMV / APMV evaluation indicators.

[0044] The step can be tested for grid independence before numerical solution is performed.

[0045] For example, before formal solution, the same working condition can be calculated using three different precision grids, i.e. coarse, medium and fine, to compare the temperature or wind speed output difference of key points to see whether it is within an acceptable range. If the results tend to be stable, it means that the simulation results are not dependent on the grid density and have convergence and credibility. By introducing grid independence test, the rigor is enhanced, the distortion of results caused by improper grid setting is avoided, and the accuracy and stability of subsequent PMV / APMV evaluation and spray control strategy development are ensured.

[0046] As shown in Figure 3 The S3: establishing the correspondence between the overheating index of the light-transmitting roof building and the average PMV or the overheating index and the average APMV comprises: S31: determining the light-thermal performance parameters of the light-transmitting roof according to the environmental parameters and the spray parameters; The environmental parameters refer to external natural conditions, such as outdoor temperature, solar radiation intensity, humidity, wind speed, etc. The spray parameters include spray pressure, spray flow, water mist layer thickness, spray frequency, etc. The light-thermal performance parameters of the light-transmitting roof are comprehensive indexes reflecting the light-thermal behavior of the roof material, such as solar radiation transmittance, thermal conductivity, infrared absorption rate, etc.

[0047] S32: obtaining the solving results corresponding to different light-thermal performance parameters of the light-transmitting roof; The solving results refer to the distribution of key physical quantities outputted on the basis of completed heat transfer flow simulation, such as indoor temperature field, wind speed field, surface heat flux density, etc. This step establishes the corresponding thermal environment response data set for multiple groups of different light-thermal performance parameters, which is convenient for subsequent extraction for comfort and overheating index analysis.

[0048] S33: obtaining the average PMV or APMV corresponding to the light-thermal performance parameters of the light-transmitting roof according to the corresponding solving results; The average PMV or APMV corresponding to the light-thermal performance parameters of the light-transmitting roof is calculated according to the solving results obtained after inputting each group of light-thermal performance parameters of the light-transmitting roof.

[0049] S34: obtaining the overheating index corresponding to the light-thermal performance parameters of the light-transmitting roof; This step can directly calculate the corresponding overheating index according to the light-thermal performance parameters of the light-transmitting roof.

[0050] S35: obtaining the correspondence between the overheating index and the average PMV according to the correspondence between the light-thermal performance parameters of the light-transmitting roof and the overheating index and the average PMV; S36: Obtain the corresponding relationship between the overheating index and the average PMV according to the corresponding relationship between the light-thermal performance parameter of the light-transmitting roof and the overheating index and the average PMV.

[0051] In this embodiment, the paired data output by S33 and S34 can be fitted and modeled by using methods such as multiple linear regression, support vector regression (SVR), neural network, etc., to obtain a curve representing the functional relationship or a two-dimensional lookup table based on an interpolation method.

[0052] This step finally obtains the corresponding relationship between the overheating index and the average PMV or the corresponding relationship between the overheating index and the average PMV, so as to adjust the average PMV or APMV by monitoring the overheating index.

[0053] In this embodiment, the overheating index corresponding to the light-thermal performance parameter of the light-transmitting roof obtained in S34 includes: S341: Obtain the environmental conditions of the light-transmitting roof, including dry conditions and spray conditions. The dry condition refers to the natural state without spraying, and the spray condition refers to the state of the roof surface covered by water mist.

[0054] S342: Obtain the solar radiation direct transmittance under dry conditions T sol,d ; The solar radiation direct transmittance under dry conditions T sol,d can be obtained by material measurement, supplier data table, standard database, etc.

[0055] S343: Determine the solar radiation direct transmittance under spray conditions , wherein , wherein T a is the outdoor air temperature, in ºC, is the outdoor solar radiation intensity, in W / m 2 ; P is the spray pressure, in bar; D is the water mist layer thickness, in m; the solar radiation direct transmittance calculated by the foregoing formula can accurately reflect the reduction of direct light transmittance due to the refraction, scattering and absorption of the water mist layer under the spray state.

[0056] S344: When the environmental condition is the dry condition, the overheating index of the light-transmitting roof building ; S345: When the environmental condition is the spray condition, the overheating index of the light-transmitting roof building .

[0057] The overheat index under different environmental conditions is calculated by the direct solar radiation transmittance under different environmental conditions in this embodiment, so that the timing of starting and stopping the spray system can be accurately controlled under the influence of the spray in the subsequent steps.

[0058] As shown in Figure 4 In this embodiment, the S4: controlling the spray system according to the correspondence between the overheat index and the average PMV or APMV includes: S41: obtaining the overheat index of the light-transmitting roof building corresponding to the spray system starting condition as the first overheat index according to the correspondence between the overheat index and the average PMV or APMV; The first overheat index is used to represent the critical heat load value corresponding to the spray system starting condition in this embodiment, which 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 upper limit of comfort.

[0059] S42: obtaining the overheat index of the light-transmitting roof building corresponding to the spray system closing condition as the second overheat index according to the correspondence between the overheat index and the average PMV or APMV; The second overheat index is used to represent the lower limit of the heat load at which the spray system can stop working in this embodiment, which corresponds to the state that the human body is in the lower limit of thermal comfort in this embodiment. The closing condition can be more relaxed than the starting condition to avoid energy consumption fluctuations caused by frequent starting and stopping. This step can be used to ensure that the spray is only performed when necessary, avoid excessive cooling and resource waste, and achieve energy-saving control.

[0060] S43: obtaining the working time period of the light-transmitting roof building; The working time period refers to the period during which the spray system is allowed to be turned on, and is associated with the building use time, user activity period, etc. For example, the opening time period of the atrium of a shopping mall can be set to 10:00 to 18:00 every day. This step adds time control logic to avoid the system running in the case of no one using or low radiation at night, thereby improving management flexibility and system intelligence. In the implementation, the system obtains the current time and compares it with the preset time table to confirm whether it is within the working window. Through this step, the spray control is not only limited by the physical index judgment, but also considers the timeliness of operation, thereby realizing the unification of energy consumption optimization and operation simplicity.

[0061] S44: detecting the overheat index of the light-transmitting roof building when it is in the working time period; In the specific implementation, the outdoor air temperature can be collected by the temperature sensor installed on the outer surface of the roof, and the outdoor solar radiation intensity can be collected by the solar radiation sensor installed on the outer surface of the roof, and then the light-transmitting roof overheat index is calculated according to the foregoing formula .

[0062] S45: When the detected overheat index is higher than the first overheat index, control the spray system to spray; 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.

[0063] S46: When the detected overheat index is lower than the second overheat index, control the spray system to stop spraying.

[0064] 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.

[0065] 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: S411: Obtain the upper limit of indoor thermal comfort; 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.

[0066] 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. 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.

[0067] 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.

[0068] The system calls the pre-built mapping relationship between the overheating index and the average PMV or the average APMV, inputs the thermal comfort threshold (average PMV = 0.5 or APMV = 0.5) set in the previous step S412, and inversely inquires the value of the corresponding overheating index as the first overheating index.

[0069] This step converts the thermal comfort judgment from the complex PMV model operation or APMV model operation into a simple physical index that can be collected and calculated in real time, so as to realize fast control execution.

[0070] In the foregoing manner, the embodiment can convert human perception into a trigger condition that can be perceived by a sensor, realize intelligent, continuous and automatic control of the spraying action, improve the response speed and accuracy of the overall control system, and avoid resource occupation caused by complex comfort operation.

[0071] In the embodiment, the S412: determining the corresponding average PMV or average APMV according to the indoor thermal comfort upper limit as the spraying system starting condition comprises: acquiring the current air circulation condition of the indoor space of the light-transmitting roof building; The "air circulation condition" refers to the ventilation mode of the current building indoor space, which can be divided into an air conditioning condition (such as forced air supply or constant temperature air supply) and a natural ventilation condition (such as opening a window or natural air inlet of a roof).

[0072] If the current air circulation condition of the indoor space is the air conditioning condition, the average PMV satisfying the indoor thermal comfort upper limit is taken as the spraying system starting condition; If the current air circulation condition of the indoor space is the natural ventilation condition, the average APMV satisfying the indoor thermal comfort upper limit is taken as the spraying system starting condition.

[0073] This step selects a suitable thermal comfort evaluation index according to the current indoor ventilation state, so as to set the spraying trigger condition satisfying the high-precision control.

[0074] The embodiment realizes the working condition self-adaptive matching of the comfort control strategy by using the foregoing manner, avoids the false triggering or control delay caused by improper index selection, improves the environmental perception ability and control decision scientificity of the system, and ensures that the spraying system responds to the most human comfort requirements.

[0075] As shown in Figure 6 In the embodiment, the S42: acquiring the overheating index of the light-transmitting roof building corresponding to the spraying system closing condition as the second overheating index according to the corresponding relationship between the overheating index and the average PMV or APMV comprises: S421: acquiring the indoor thermal comfort lower limit; The indoor thermal comfort lower limit is the minimum boundary at which the human body can still maintain a comfortable feeling in the current use scenario, and is generally used to determine whether active cooling measures can be ended, S422: determining a corresponding average PMV or APMV as a spray system closing condition according to the indoor thermal comfort lower limit; the spray system closing condition is a comfort basis for triggering the spray system to close when the system determines that the current environment has returned to the lower limit of the comfort interval, and PMV or APMV is selected according to the ventilation working condition.

[0076] S423: obtaining a corresponding overheating index as a second overheating index according to the spray system closing condition and the corresponding relationship between the overheating index and the average PMV or APMV.

[0077] This step converts the lower limit requirement of human comfort into a heat load parameter that can be sensed by a sensor and calculated in real time, as a direct criterion for the system to stop spraying. In the implementation process, the system calls the mapping model between the aforementioned established overheating index and the average PMV or APMV, inputs the comfort lower limit value (such as PMV=-0.5 or APMV=-0.5) obtained in S422, and inversely inquires to obtain the corresponding overheating index value as the second overheating index. Through this step, the system realizes the mapping of complex comfort standards to real-time control variables with the simplest logic, thereby reducing the online calculation complexity, ensuring the efficient response of the spray system and the control accuracy, and providing a technical basis for water saving and energy saving.

[0078] In this embodiment, the S422: determining a corresponding average PMV or APMV as a spray system closing condition according to the indoor thermal comfort lower limit comprises: obtaining the current air flow working condition in the indoor of the light-transmitting roof building; if the current air flow working condition in the indoor is an air conditioning working condition, then taking the average PMV satisfying the indoor thermal comfort lower limit as the spray system closing condition; if the current air flow working condition in the indoor is a natural ventilation working condition, then taking the average APMV satisfying the indoor thermal comfort lower limit as the spray system closing condition. This step reasonably selects the comfort closing criterion according to the current indoor air conditioning mode, to match the actual use environment and the user's thermal feeling, so that the spray system termination behavior is more in line with the actual feeling of the human body, improves the rationality and energy saving of the control response, and avoids the phenomenon of premature closing or excessive spraying caused by the selection of inappropriate evaluation parameters.

[0079] In the actual operation process of the light-transmitting roof spray cooling system, the spray start-stop often depends on a fixed overheating index. When the roof temperature exceeds the index, the system starts the spray, and when the temperature drops to the set lower limit, the system stops the spray. Although this fixed overheating control has a simple structure, it has significant limitations in a variable meteorological environment. Because the external conditions (such as solar radiation, wind speed, and ambient temperature) have obvious periodicity and suddenness, the thermal response process of the roof also changes nonlinearly over time, and the fixed threshold value cannot accurately reflect the actual thermal load state. As a result, the spray is too frequent in some periods, causing energy waste and high humidity, and in the period of rapid temperature rise, the threshold response lags behind, causing the cooling to be not timely.

[0080] In addition, after the spray control system runs for a long time, its response characteristics will gradually deviate from the initial setting due to environmental differences, equipment aging, or external disturbances. For example, in hot summer weather, the roof temperature rise rate is significantly higher than in overcast or cloudy weather, and if the system still operates with a fixed threshold, periodic oscillation is likely to occur. To this end, in the present embodiment, the method further comprises: S51: statistically analyzing the historical spray start-stop records in a preset time window to obtain the spray frequency; The preset time window refers to a fixed time period set by the control system for analyzing the spray behavior, for example, 30 minutes, 1 hour, or 1 day. The time window is used to limit the data analysis range, so that the threshold adjustment is based on a representative operating period. The spray start-stop record is time-stamped data automatically generated by the control circuit each time the spray system starts or stops, which reflects the frequency and duration of the spray operation. The spray frequency refers to the number of times the spray system starts in the time window.

[0081] S52: obtaining the ambient temperature change rate level according to the continuous ambient temperature data; The ambient temperature change rate level is used to describe the speed of temperature change per unit time and can be classified into levels such as smooth, slow change, and rapid change. For example, when the temperature rises by more than 2°C in 5 minutes, it is classified as rapid change; if it fluctuates by less than 0.5°C in 30 minutes, it is classified as smooth. This index can reflect the strength of the influence of external climate or solar radiation on the roof.

[0082] In specific implementation, the continuous data of the temperature sensor can be periodically read, the temperature difference and time interval of adjacent sampling points are calculated to determine the temperature change trend, and the change rate is divided into different levels according to the interval it is in. The system can use a sliding time window to update the result in real time to avoid judgment deviation caused by short-term abnormalities. Through the foregoing method, the system can perceive the environmental dynamics and establish a time domain feature, so as to realize comprehensive judgment with the spray frequency in the subsequent steps and improve the pertinence and stability of the threshold adjustment.

[0083] S53: Determine the threshold adjustment direction according to the spray frequency and the temperature change rate level; The threshold adjustment direction refers to the trend of the system determining whether to increase, decrease or keep the threshold unchanged. It depends on the combination of the two input characteristics, i.e. the spray frequency and the temperature change rate level.

[0084] In specific implementation, the system calls the temperature change rate level obtained in the previous step and the spray frequency result of S51 to enter the decision of condition matching. The decision logic can be based on a preset rule table or formed into an experience weight table through long-term running data training. The final output result is the adjustment direction identifier of increasing, decreasing or keeping unchanged.

[0085] This embodiment derives a reasonable adjustment direction through data logic, so that the change of the threshold value conforms to the current running environment. For example, when the spray frequency is too high and the environmental temperature changes smoothly, the system determines that the threshold value is set too low and needs to be adjusted upward; when the spray frequency is too low and the temperature changes dramatically, the system determines that the threshold value is too high and needs to be adjusted downward; when both are within the normal range, the system maintains the original threshold value unchanged.

[0086] S54: Adjust the amplitude of the current threshold value according to the threshold adjustment direction to obtain a new threshold candidate value; Amplitude adjustment refers to the system making a small amplitude numerical correction to the current threshold value according to the adjustment direction of the previous step, thereby generating a new candidate threshold value. The adjustment amplitude can be a fixed proportion or can be controlled by grading according to the environmental fluctuation intensity.

[0087] In specific implementation, the system reads the current threshold value from the storage unit, and performs a one-step increase or decrease operation according to the direction identifier output by S53. To prevent over-adjustment, a maximum variation limit value can be set; at the same time, a time delay mechanism can be used to perform adjustment only after the environmental state has been stable for a period of time. The new threshold candidate value is generated and will enter the cache area for consistency check. Through this step, the threshold adjustment process of the system is more flexible, avoiding the problem of over-adjustment and ensuring the stability and predictability of the spray response.

[0088] S55: Perform consistency check according to the previous threshold value and the new threshold candidate value in the historical record to obtain a revised dynamic threshold value; Consistency check refers to the system verifying the change direction, change amplitude and trend continuity of the new and old threshold values before updating the threshold value, in order to prevent threshold oscillation or logic conflict. This process ensures the continuity and smoothness of the dynamic adjustment of the system.

[0089] In a specific implementation, the system reads the records of the threshold changes in the recent times and compares them with the current candidate value. If the direction of the changes is opposite or the changes exceed the limit for a plurality of times, the adjustment is delayed. If the trend is continuous and the amplitude is within the allowed range, the candidate value is confirmed as the revised dynamic threshold value and written into the main control register. This step adds a stability constraint at the algorithm level, so that the spray system has anti-interference ability and long-term reliability, effectively preventing system jitter or false operation. When the new candidate value is consistent with the previous threshold adjustment direction and the amplitude is reasonable, the system confirms that the adjustment is effective. If the direction is repeated or the change is too large, the update is inhibited to maintain continuity. Through this verification mechanism, the system avoids frequent triggering of the spray or premature termination of the spray under boundary conditions.

[0090] S56: updating the overheating index according to the revised dynamic threshold value and the current overheating index.

[0091] The system first obtains the latest environmental parameters and roof temperature, recalculates the current overheating index through the existing heat load evaluation method, and then adjusts the boundary according to the revised dynamic threshold value to enable the spray control to be executed under the new reference framework. If the overheating index is higher than the starting threshold value, the system triggers the spray immediately. If it is lower than the closing threshold value, the spray is stopped. Through this step, the spray control logic maintains consistency and accuracy in a constantly changing environment, thereby achieving dynamic stable operation and energy consumption minimization. In this embodiment, the method further comprises: S61: determining the light incidence direction and the radiation intensity distribution of the roof according to the current time, date, and building orientation. The light incidence direction refers to the angle direction of the sunlight relative to the normal line of the building roof, which is used to describe the spatial angular distribution of the solar radiation acting on the roof surface. The radiation intensity distribution refers to the distribution of the solar direct or scattered radiation power density received by different roof areas. The building orientation information includes the roof orientation (such as southward, eastward, etc.) and the inclination angle, which determines the light receiving characteristics of the roof in different time periods.

[0092] The current time and date can be obtained according to the system clock module, the solar altitude angle and azimuth angle can be calculated in combination with the geographical position, and then the solar incidence direction on the roof can be determined in combination with the building orientation parameters. At the same time, the solar radiation intensity at the current time can be obtained through a radiation sensor or an external meteorological data interface, and then it is mapped to each area of the roof to form a radiation intensity distribution model.

[0093] S62: obtaining the solar radiation change trend in a future preset time period according to the light incidence direction and the radiation intensity distribution. The solar radiation change trend refers to the change direction and change rate of the solar radiation intensity in a future period of time, and is used to describe the increase and decrease law of the radiation energy over time. The preset time period can be set to 5 minutes, 15 minutes or a longer period according to system requirements, and is usually matched with the spray control period.

[0094] The system can predict the change of the solar altitude angle and azimuth angle in the future preset time period based on the current light incidence angle and the solar running track model, and correct the radiation intensity distribution accordingly. By combining historical radiation curves and current measurement data, it can be determined whether the radiation is increasing, stable or decreasing through differential analysis or trend extrapolation. The system finally outputs a qualitative trend signal to guide the next light direction prediction. Through this step, the system no longer relies on environmental data at a single moment, but obtains prediction information in the time dimension, so as to identify the radiation rising or falling stage in advance and realize the transition from passive response to active prediction.

[0095] S63: Obtain light direction prediction information according to the solar radiation change trend in the future preset time period; The light direction prediction information is a prediction result obtained by comprehensively considering the solar radiation trend, the building direction and the roof incidence characteristics, and is used to reflect the change trend of the received light intensity of each roof area in the future. It not only contains the change direction of the radiation intensity, but also contains the spatial change of the received light area distribution, such as the change from uniform illumination to local strong illumination or shadow shielding.

[0096] This step generates prediction information that can be directly used for threshold advance adjustment, so that the system can adjust the spray start-stop conditions in advance according to the future light change trend combined with the change trend of the dynamic overheating index. When it is predicted that the solar radiation will rapidly increase or the direct sunlight area will soon move to the key roof area, the system can lower the spray threshold in advance; when it is predicted that the light will weaken or turn to shade, the threshold can be appropriately increased.

[0097] S64: Determine the pre-adjustment direction and compensation amplitude according to the change trend of the light direction prediction information and the current overheating index; The pre-adjustment direction refers to the trend that the threshold should be adjusted up or down in the next stage, and the compensation amplitude represents the size of the adjustment amount, which is used to reflect the intensity of the predicted change.

[0098] In specific implementation, the light prediction trend and the overheating index change direction are compared, and three pre-adjustment directions are determined according to the combination: down, up or keep. Then, according to the predicted change duration, the roof light receiving area and the temperature rise rate, etc., the compensation amplitude is divided into high, medium and low three levels. The finally generated adjustment instruction contains the direction identifier and the compensation level, which is used to guide the subsequent threshold.

[0099] Through this step, the system realizes the fusion of predictive feedforward and state feedback, uses the fusion result of the light direction prediction information and the change of the current overheating index, and changes the spray control from simply responding to environmental changes to actively predicting and executing in advance, effectively shortens the thermal response time, avoids overheating lag, and improves the overall cooling uniformity and energy efficiency.

[0100] S65: Pre-adjusting the dynamic threshold with light compensation according to the pre-adjustment direction and the compensation amplitude.

[0101] The light compensation pre-adjustment refers to superimposing the fine tuning correction guided by the light prediction on the basis of the conventional dynamic threshold adjustment result, so that the threshold has adaptability to future light changes. The dynamic threshold here comes from the adaptive calculation result of the previous period and is the core judgment parameter for system spray start-stop.

[0102] In specific implementation, the system calls the pre-adjustment direction and the compensation amplitude output by S64 to make numerical correction to the dynamic threshold. The adjustment process can use segmented control logic, that is, perform large adjustment when the light change trend is obvious, and perform fine adjustment when the change is slow. The adjusted threshold is written into the threshold register or control cache area for spray start-stop judgment in the next period. The system also records the adjustment result for subsequent learning and correction.

[0103] Through this step, the system realizes the feedforward compensation of predictive driving without changing the hardware structure, makes the spray start-stop more stable and energy-saving, and effectively prevents the roof temperature from rising sharply during the strong radiation period, significantly improving the thermal comfort and operation efficiency.

[0104] In this embodiment, by combining the light direction prediction information with the change trend of the current overheating index, the system can consider the spatial change of future solar radiation and the real-time thermal state of the roof at the same time, thereby realizing dual decision optimization of foresight and real-time. The light direction prediction information provides the trend of future radiation enhancement or weakening, and the overheating index reflects the current heat accumulation rate of the roof. The combination of the two enables the system to not only predict the upcoming thermal load change, but also judge whether the roof has the thermal response capability. Therefore, the spray control can actively intervene before the thermal load really rises, and automatically delay the start or stop in advance when the radiation weakens or the temperature falls, realizing the dynamic balance of spray start-stop. This cooperative judgment mechanism effectively avoids the delay or excessive response caused by single parameter control, makes the spray regulation more accurate and stable, and significantly improves the energy efficiency utilization rate and the comfortable balance of roof temperature control.

[0105] In this embodiment, the S64: determining the pre-adjustment direction and the compensation amplitude according to the light direction prediction information and the change trend of the current overheating index further includes: S641: Determine the radiation change trend according to the change direction of future solar radiation intensity obtained from the light orientation prediction information; the radiation change trend refers to the change direction and rate of solar radiation intensity within a certain future time, which is used to reflect the dynamic change of solar energy input to the roof. For example, when the solar elevation angle rises, the incident angle tends to be perpendicular, and the cloud coverage decreases, the radiation trend shows enhancement; on the contrary, when the solar angle deviates or the cloud coverage increases, it shows weakening. This step identifies the change direction of future solar radiation in advance through light orientation prediction information, so that the system can adjust the control logic in advance before the heat load changes significantly. Unlike the traditional passive response mode based on real-time monitoring, the threshold adjustment process is intervened in advance from the time dimension.

[0106] In specific implementation, the system calculates the change of solar azimuth and elevation angle in a future preset time period based on the current time, geographic coordinates and building orientation, and estimates the corresponding radiation intensity change direction in combination with the radiation model. The system classifies the prediction results into three trend signals: enhancement, weakening or stability.

[0107] Through this step, the system establishes a perception mechanism for future radiation change, realizes the transition from static response to dynamic prediction, and makes the subsequent threshold adjustment have time foresight and initiative, significantly reducing the response lag in the high-temperature surge stage.

[0108] S642: Determine the temperature change trend of the roof heat state according to the change direction of the current overheating index in the continuous monitoring period; The temperature change trend refers to the heat accumulation or heat dissipation direction of the roof in multiple continuous monitoring periods, which is used to reflect the evolution law of the current thermal environment. The overheating index can be understood as a quantitative parameter of the roof surface temperature, internal heat flux or equivalent heat load. By analyzing its time change, it can be judged whether the roof is in the heating, cooling or stable stage.

[0109] This step provides a basis for the system to judge the current thermal response state, so that the control logic not only depends on external light prediction, but also reflects the thermal dynamic characteristics of the roof. When the roof temperature continues to rise, the system should increase the sensitivity of the spray; when the temperature tends to be stable or slowly decreases, the spray response should be delayed.

[0110] Periodically collect roof temperature or infrared sensor output data, and calculate the change direction of the overheating index in multiple monitoring periods. If the trend is rising in multiple consecutive periods, it is determined to be heating; if it is continuously decreasing, it is cooling; if the fluctuation value is less than a preset threshold, it is judged to be stable.

[0111] This step makes the system form a time complement with the radiation trend of S641 according to the change law of the roof heat state, so that the spray control accurately suppresses the influence of future light input and current heat load output, thereby improving the control precision and adaptability.

[0112] S643: When the radiation change trend is a radiation enhancement trend and the temperature change trend is a temperature rise trend, it is determined that the pre-adjustment direction is to lower the dynamic threshold value; The pre-adjustment direction refers to the target direction of the change of the threshold value in the threshold value control logic, which is to lower the dynamic threshold value here, meaning that the spray action is triggered in advance. When the roof has both radiation enhancement and temperature rise trends, it means that rapid heat accumulation is about to occur, and if the threshold value is not lowered in advance, the spray response may be delayed.

[0113] The system monitors the trend output signals of S641 and S642, and when both are rising trends, a threshold value lowering instruction is automatically issued. The threshold value lowering amplitude can be dynamically set according to the radiation enhancement rate and the temperature rise rate, for example, a larger amplitude is executed when the radiation enhancement is faster. This step realizes accurate advance response through double trend matching judgment, reduces the high temperature lag phenomenon, and significantly improves the stability of the roof thermal environment and the cooling response speed.

[0114] S644: When the radiation change trend is a radiation weakening trend and the temperature change is a temperature rise trend, it is determined that the pre-adjustment direction is to raise the dynamic threshold value; In this case, the radiation heat input of the roof is weakening and the temperature is falling, indicating that the roof heat load is naturally easing, and maintaining a low threshold value will cause the spray to be too frequent or energy to be wasted. The purpose of raising the dynamic threshold value is to reduce invalid spraying and maintain the optimal energy efficiency of the system.

[0115] This step makes the spray control automatically delay response in the cooling stage, avoiding repeated cooling and energy waste. By raising the threshold value, the system can make the spray trigger condition more stringent, thereby prolonging the spray interval and reducing water energy consumption.

[0116] S645: When the radiation change trend and the overheating index trend are inconsistent, it is determined that the pre-adjustment direction is to remain unchanged; The inconsistent trend in this step includes radiation enhancement but no temperature rise, or radiation weakening but temperature still rising, etc. This is usually due to temporary mismatch phenomenon caused by short-term environmental fluctuations or local thermal inertia. This step temporarily suspends threshold value adjustment when the trend signals are inconsistent, preventing the system from being triggered or frequently adjusted. When the signal directions are inconsistent, immediate adjustment may cause system jitter or temperature fluctuations.

[0117] S646: According to the future radiation change duration, the roof light receiving area and the overheating index change rate, the compensation amplitude of the corresponding grade is determined; The compensation amplitude is the intensity level of the threshold value adjustment, which comprehensively reflects the persistence and intensity characteristics of the environmental change. The radiation change duration represents the stability of the trend, and the roof light receiving area represents the heating range.

[0118] The step is used to realize hierarchical flexible control of threshold adjustment, so that the system can take a matching response amplitude for different intensity of radiation changes. 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.

[0119] In the implementation process, the system comprehensively inputs three parameters, determines the compensation level by using weight scoring or interval mapping, and outputs high, medium and low three-level compensation amounts. This step optimizes the spray control, so that the pre-adjustment process is no longer a single amplitude start-stop, but a precise adjustment based on multi-parameter adaptive calculation, which significantly improves the spray start-stop smoothness and energy consumption control accuracy.

[0120] S647: updating the dynamic threshold with light compensation according to the pre-adjustment direction and the compensation amplitude.

[0121] The dynamic threshold with light compensation is a control parameter corrected by the system according to the environmental prediction and feedback trend, which is the basis for the next cycle spray start-stop judgment.

[0122] This step synchronously optimizes the spray control in time, space and thermal state. By combining the pre-adjustment direction and the compensation amplitude, the system can have an over-time response capability while maintaining stability.

[0123] After using the foregoing method, the system updates the dynamic threshold driven by light prediction, ensures that the spray start-stop is synchronized with the radiation change, avoids energy waste and response lag, and thus significantly improves the temperature control performance, comfort and energy efficiency of the light-transmitting roof building.

[0124] Embodiment 2 As shown in Figure 7 The embodiment provides a light-transmitting roof spray cooling system, which comprises 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 a light-transmitting roof building. The control circuit is electrically connected with the temperature sensor, the solar radiation sensor and the spray system. The control circuit comprises 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 realized.

[0125] The above description of the system, modules and units and the specific working process thereof is merely specific implementation of the present application, and for the convenience and brevity of description, the specific working process of the above-described system, modules and units can refer to the corresponding process in the foregoing method embodiments, which will not be described herein again. It should be understood that the protection scope of the present application is not limited in this way, and any modifications or replacements that are easily conceived by those skilled in the art within the technical scope disclosed by the present application should be covered in the protection scope of the present application.

Claims

1. A method of spray cooling of a light-transmitting roof construction, characterized in that The method comprises: S1: taking different light-transmitting roof photothermal performance parameters as input, simulating and solving heat flow processes of indoor spaces under light-transmitting roof buildings under dry conditions and spraying conditions; S2: obtaining corresponding average PMVs or APMVs of indoor spaces under dry conditions and spraying 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; S4: controlling the spraying system according to the corresponding relationship between the overheating index and the average PMV or between the overheating index and the average APMV.

2. The method of claim 1, wherein the light-transmitting roofing building is sprayed with the water mist. The S3 comprises: S31: determining light-transmitting roof photothermal performance parameters according to environmental parameters and spraying parameters; S32: obtaining solving results corresponding to different light-transmitting roof photothermal performance parameters; S33: obtaining average PMVs and average APMVs corresponding to the light-transmitting roof photothermal performance parameters according to the corresponding solving results; S34: obtaining an overheating index corresponding to the light-transmitting roof photothermal performance parameters; S35: obtaining a corresponding relationship between the overheating index and the average PMV according to a corresponding relationship between the light-transmitting roof photothermal performance parameters and the overheating index and the average PMV; S36: obtaining a corresponding relationship between the overheating index and the average APMV according to a corresponding relationship between the light-transmitting roof photothermal performance parameters and the overheating index and the average APMV.

3. The method of claim 2, wherein the spray cooling of the light-transmitting roofing building is characterized by, The S34 comprises: S341: obtaining light-transmitting roof environmental conditions, the environmental conditions comprising dry conditions and spraying conditions; S342: Obtain solar radiation direct transmittance under dry conditions T sol,d ; S343: According to the formula Determining the direct transmittance of solar radiation under spray conditions , wherein T a is the outdoor air temperature in °C o is the outdoor solar radiation intensity in W / m 2 ; P is the spray pressure in bar; D is the water mist layer thickness in m;​ S344: overheating index of the light-transmitting roof building when the environmental condition is a dry condition ; S345: the overheating index of the light-transmitting roof building when the environmental condition is the spraying condition ; wherein T s T is the temperature of the outer surface of the light-transmitting roof, in °C o C.

4. The light transmitting roofing building's misting method according to claim 1, wherein, The S4 comprises: S41: obtaining an overheating index of the light-transmitting roof building corresponding to a spraying system starting condition as a first overheating index according to the corresponding relationship between the overheating index and the average PMV or between the overheating index and the average APMV; S42: obtaining an overheating index of the light-transmitting roof building corresponding to a spraying system stopping condition as a second overheating index according to the corresponding relationship between the overheating index and the average PMV or between the overheating index and the average APMV; S43: obtaining a working time period of the light-transmitting roof building; S44: detecting the overheating index of the light-transmitting roof building when in the working time period; S45: controlling the spraying system to spray when the detected overheating index is higher than the first overheating index; S46: controlling the spraying system to stop spraying when the detected overheating index is lower than the second overheating index.

5. The method of claim 4, wherein the spray cooling of the light-transmitting roofing building is characterized by, The S41 comprises: S411: obtaining an upper limit of indoor thermal comfort; S412: determining a corresponding average PMV or average APMV as the spraying system starting condition according to the upper limit of indoor thermal comfort. S413: obtaining a corresponding overheating index as the first overheating index according to the correspondence between the spray system starting condition and the overheating index and the average PMV or APMV.

6. The light transmitting roofing building's misting method according to claim 5, wherein, S412: determining the corresponding average PMV or APMV as the spray system starting condition according to the indoor thermal comfort upper limit comprises: obtaining the current air circulation condition in the building room of the light-transmitting roof building; if the current air circulation condition in the building room is the air conditioning condition, taking the average PMV satisfying the indoor thermal comfort upper limit as the spray system starting condition; if the current air circulation condition in the building room is the natural ventilation condition, taking the average APMV satisfying the indoor thermal comfort upper limit as the spray system starting condition.

7. The light transmitting roofing building's spray cooling method according to claim 4, characterized in that, S42: obtaining the corresponding overheating index of the light-transmitting roof building as the second overheating index according to the correspondence between the spray system closing condition and the overheating index and the average PMV or APMV comprises: S421: obtaining the indoor thermal comfort lower limit; S422: determining the corresponding average PMV or APMV as the spray system closing condition according to the indoor thermal comfort lower limit; S423: obtaining the corresponding overheating index as the second overheating index according to the correspondence between the spray system closing condition and the overheating index and the average PMV or APMV; S422: determining the corresponding average PMV or APMV as the spray system closing condition according to the indoor thermal comfort lower limit comprises: obtaining the current air circulation condition in the building room of the light-transmitting roof building; if the current air circulation condition in the building room is the air conditioning condition, taking the average PMV satisfying the indoor thermal comfort lower limit as the spray system closing condition; if the current air circulation condition in the building room is the natural ventilation condition, taking the average APMV satisfying the indoor thermal comfort lower limit as the spray system closing condition.

8. The method of claim 7, wherein the spray cooling of the light-transmitting roofing building is characterized by, Further comprising: S51: statistically analyzing the historical spray start-stop records in a preset time window to obtain a spray frequency; S52: obtaining an ambient temperature change rate level according to continuous ambient temperature data; S53: determining a threshold adjustment direction according to the spray frequency information and the temperature change rate level; S54: adjusting the amplitude of the current threshold according to the threshold adjustment direction to obtain a new threshold candidate value; S55: performing consistency checking according to the previous threshold in the historical records and the new threshold candidate value to obtain a revised dynamic threshold; S56: updating the overheating index according to the revised dynamic threshold and the current overheating index.

9. The light transmitting roofing building's misting method according to claim 8, wherein, The method further comprises: S61: determining the light incidence direction and radiation intensity distribution of the roof according to the current time, date and building orientation; S62: obtaining the solar radiation change trend in a future preset time period according to the light incidence direction and radiation intensity distribution; S63: obtaining light orientation prediction information according to the solar radiation change trend in the future preset time period; S64: determining a pre-adjustment direction and a compensation amplitude according to the light orientation prediction information and the change trend of the current overheating index; S65: pre-adjusting the dynamic threshold with light compensation according to the pre-adjustment direction and the compensation amplitude.

10. A light-transmitting roofing spray-cooling system, characterized in that The light-transmitting roof spray cooling system comprises 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 with the temperature sensor, the solar radiation sensor and the spray system respectively, the control circuit comprises at least one processor, at least one memory and computer program instructions stored in the memory, and the computer program instructions realize the method in any one of claims 1-9 when executed by the processor.

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