Ultralow-energy-consumption building fresh air implementation method based on air pressure matching algorithm

Abstract

The invention discloses an ultra-low energy consumption building fresh air implementation method based on a wind pressure matching algorithm, which comprises a plurality of groups of fresh air pipeline ports, a main air guide sensing plane, a main air guide sensing module and an outdoor information acquisition module, a demand acquisition module arranged in a building, and a control module arranged in the building. The control module calculates the main air guide intensity data, determines the air inlet and the air outlet, calculates the required fresh air volume and dynamically adjusts the working states of the air inlet and the air outlet. The control module calculates the wind intensity data and the standard fresh air volume based on the collected information, the standard fresh air volume is corrected based on the multi-factor condition, then the positions and the number of the air inlets are selected according to the calculation result, the fresh air meeting the actual fresh air demand is conveyed into the building through the selected air inlets, and the fresh air quality is improved. The ventilation quantity of the building meets the ultra-low energy consumption fresh air standard, and the energy consumption is reduced to the maximum extent while the ventilation quantity and the air quality are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of building fresh air systems, and in particular to a method for realizing ultra-low energy consumption building fresh air based on a wind pressure matching algorithm. Background Art

[0002] The fresh air system is an independent air treatment system consisting of an air supply system and an exhaust system. It is divided into a ducted fresh air system and a ductless fresh air system. The main function of the fresh air system is to introduce outdoor air into the room and then exhaust the indoor air, thereby realizing air exchange inside the building. The traditional suction system adopts a mechanical air supply method, which delivers fresh air to the room from a fixed air inlet and then exhausts the indoor air from a fixed exhaust outlet. However, it often lacks sufficient intelligent control and adjustment mechanism, and it is difficult to automatically adjust the opening and closing status of the air inlet and outlet under different wind pressure and wind direction conditions, resulting in energy waste or poor ventilation effect, and increased system energy consumption.

[0003] The defects of the existing building fresh air system are: the patent document CN113280443B mainly considers how to solve the problem of filter blockage in the system, which leads to reduced ventilation effect, but the above patent cannot realize the problem of intelligent selection of inlet and outlet ports and intelligent control of the opening and closing degree of inlet and outlet ports; The patent document CN106352501B mainly solves the problem of how to intelligently adjust the fresh air level, but the above patent cannot solve the problem of optimizing the calculation of the fresh air demand; The patent document CN115235018B mainly considers the problem of how to maintain constant temperature fresh air input while achieving indoor air circulation, but the above patent does not solve the problem of how to reasonably set the fresh air duct opening. Summary of the invention

[0004] The purpose of the present invention is to provide a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: S1. Multiple groups of fresh air duct openings are arranged on the outside of the building wall, and each group of fresh air duct openings is used as an air inlet or an air outlet; S2. A dominant wind sensing plane is arranged outside the building wall, and the dominant wind sensing plane is arranged around the fresh air duct opening. A dominant wind sensing module and an outdoor information acquisition module are arranged on the dominant wind sensing plane. The dominant wind sensing module is used to collect airflow data outside the building, wherein the airflow data includes wind pressure, wind direction, and wind speed data. The outdoor information acquisition module is used to collect outdoor environment information. S3. A demand acquisition module is set inside the building. The demand acquisition module includes a building information acquisition unit, an internal environment information acquisition unit and a personnel information acquisition unit. The building information, internal environment information and personnel related information are collected through the demand acquisition module. S4. A control module is set inside the building, and the control module is connected to the fresh air duct port, the dominant wind sensing module, and the demand acquisition module; S5. The control module calculates the dominant wind intensity data according to the airflow data, and selects the air inlet and the air outlet according to the calculation results. The control module receives the information collected by the demand acquisition module, and calculates the required fresh air volume according to the information; S6. Based on the required fresh air volume and the information collected by the dominant wind sensing module and the outdoor information acquisition module, the working states of the air inlet and the air outlet are dynamically adjusted while meeting the required fresh air volume.

[0006] Preferably, an airflow regulating unit, a flow sensor and a flow velocity sensor are provided in the air inlet and the air outlet. The flow sensor and the flow velocity sensor are located on the inner side of the airflow regulating unit. The airflow regulating unit is used to adjust the opening and closing degree of the air inlet and the air outlet.

[0007] Preferably, the step of setting up a plurality of groups of fresh air duct openings on the outside of the building wall specifically comprises the following steps: collecting geographical location information of the building wall and historical airflow status information corresponding to the geographical location information, wherein the historical airflow status information comprises historical wind direction information data and historical wind speed information data, combining with a wind flow simulation model, predicting the airflow received by the outside of the target building wall according to the geographical location information and the historical airflow status information, selecting a preset position and a preset number of fresh air duct openings according to the prediction results, and setting the fresh air duct openings on the outside of the target building wall according to the preset position and the preset number.

[0008] Preferably, the area of ​​the dominant wind sensing plane is 0.5 to 2 times the vertical cross-sectional area of ​​the fresh air duct outlet. The dominant wind sensing module includes a wind direction sensor, a wind speed sensor and a wind pressure sensor, which are respectively used to collect the wind direction data Xi, wind speed data Vi and wind pressure data Pi of the airflow on the outside of the building wall. The outdoor information acquisition module includes an outdoor temperature sensor and an indoor temperature sensor, which are respectively used to collect the outdoor ambient temperature data T1i and the outdoor ambient humidity data S1i.

[0009] Preferably, the building information acquisition unit includes an air tightness sensor installed inside the building and located on the side of the connection between the doors and windows and the building wall, and the building information includes the internal volume R of the building and the air permeability Sj at the connection. The internal environment information acquisition unit includes an indoor temperature sensor, an indoor humidity sensor, and an indoor air quality sensor, and the internal environment information includes the indoor environment average temperature data T2, the indoor environment average humidity data S2 and the indoor average carbon dioxide concentration data N2. The personnel information acquisition unit includes a camera, and the personnel-related information includes the number of personnel Y in the building and personnel status information.

[0010] Preferably, the control module includes a standard quantity calculation unit, a dominant wind calculation and comparison unit, a fresh air volume optimization calculation unit and an air inlet and outlet control unit, and the standard quantity calculation unit, the fresh air volume calculation optimization unit, the dominant wind calculation unit and the air inlet and outlet control unit are wirelessly connected.

[0011] The standard volume calculation unit is used to calculate the standard fresh air volume required by the target building according to the standard calculation formula for the building fresh air volume, and the standard fresh air volume , where a is the weight coefficient of the impact of building volume on the demand for fresh air volume, and b is the standard amount of fresh air required for one person.

[0012] Preferably, the fresh air volume optimization calculation unit modifies the standard fresh air volume based on outdoor environment information, building information, internal environment information and personnel-related information, and the modification steps are as follows: The standard fresh air volume Q is corrected based on the personnel status information, and the corrected fresh air demand , where δ is the weight coefficient of the factors affecting the fresh air demand due to the rest status of the people inside the building, and η is the weight coefficient of the factors affecting the fresh air demand due to the activity status of the people inside the building; the fresh air demand Q1 is corrected based on the building information, and the corrected fresh air demand , where γ is the weight coefficient of the factors affecting the air permeability at the connection on the fresh air demand; The fresh air demand is corrected based on the outdoor environment information and the internal environment information, and the actual fresh air demand after correction ,in is a relational expression regarding outdoor environment temperature data T1i, outdoor environment humidity data S1i, indoor environment temperature data T2, indoor environment humidity data S2 and indoor carbon dioxide concentration data N2; The establishment of includes the following steps: Get the temperature difference correction coefficient ,in is the temperature correction factor; Get the humidity difference correction factor ,in is the humidity correction factor; Get the CO2 concentration correction factor ,in is the weight coefficient of the factors affecting the demand for fresh air by the indoor carbon dioxide concentration; Said .

[0013] Preferably, the dominant wind calculation and comparison unit is used to calculate wind intensity data according to airflow data, and select air inlet and air outlet by comparing the calculation results, and the dominant wind calculation and comparison unit specifically includes the following steps: S51, selecting the air inlet side according to wind direction data; S511, selecting the windward side building wall as the dominant wind inlet side, and the fresh air duct opening provided on the windward side building wall as the air inlet to be selected; S52, calculating wind intensity data according to the wind pressure data and the wind speed data, and selecting an air inlet according to the wind intensity data; S521, wind intensity data ,in is the wind intensity received by the dominant wind sensing plane outside the i-th new air outlet, α is the weight coefficient of the wind pressure data Pi, and β is the weight coefficient of the wind speed data Vi; S522. Select wind strength data and select dominant wind Fi. The wind strength data corresponding to dominant wind Fi is: ,and , and select the fresh air duct opening corresponding to the dominant wind Fi as the air inlet, and input fresh air into the building interior through the air inlet.

[0014] Preferably, the air inlet and outlet control unit is electrically connected to the airflow control unit, the flow sensor, and the flow velocity sensor. The flow sensor is used to obtain the actual air intake volume Q4 of the selected air inlet in the current open state. The air inlet and outlet control unit is used to compare the actual fresh air demand Q3 with the actual air intake volume Q4, obtain the comparison result, and output the control instruction to the airflow control unit according to the comparison result. The comparison results are When the air inlet and outlet control unit outputs a control instruction to increase the opening and closing degree to the air flow control unit; The comparison results are When the air inlet and outlet control unit outputs a control instruction to reduce the opening and closing degree to the air flow control unit; The opening and closing degree of the air inlet and outlet Satisfies the following relationship .

[0015] Preferably, the selection of the air inlet further comprises the following steps: When the number of air inlets is increased, The actual air intake at the maximum opening degree of the selected air inlet.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention collects airflow data, outdoor environment data, building information, internal environment information and personnel-related information by setting a dominant wind sensing module and a demand acquisition module, and calculates wind intensity data and standard fresh air volume based on the collected information through a control module, and corrects the standard fresh air volume based on multi-factor conditions, and then selects the position and number of air inlets according to the calculation results, and transports fresh air that meets the actual fresh air demand into the building through the selected air inlets, so that the building ventilation volume meets the ultra-low energy consumption fresh air standard, while ensuring the ventilation volume and air quality, minimizing energy consumption.

[0017] 2. The present invention sets an air inlet and outlet control unit and an air flow adjustment unit, compares the current actual air intake volume with the actual fresh air demand, and adjusts the opening and closing degree of the air inlet according to the comparison result, so that the air inlet can automatically adjust the opening and closing degree of the air inlet under different air flow conditions, which is convenient for making full use of the dominant wind to realize ventilation inside the building, and solves the problem of high mechanical energy consumption required for traditional suction ventilation.

[0018] 3. The present invention adopts a plurality of steps for selecting and setting up fresh air duct openings, predicts the airflow received by the target building through an airflow simulation model according to the geographical location information of the building wall and the historical airflow state information corresponding to the geographical location information, and then sets the fresh air duct opening at a suitable position according to the prediction result, thereby improving the rationality of the position setting of the fresh air duct opening, avoiding the waste of raw materials for installing the fresh air duct opening, making full use of the airflow in the area to which the building belongs, and facilitating the improvement of the fresh air intake efficiency, while reducing unnecessary exhaust, and facilitating the maintenance of the temperature requirement inside the building.

[0019] 4. The present invention sets a dominant wind sensing plane around the fresh air duct outlet, and sets a dominant wind sensing module to collect airflow data and outdoor environment information outside the building. The airflow data collected by the dominant wind sensing module is used to replace the airflow data at the fresh air duct outlet at the corresponding position. In addition, by setting a dominant wind sensing plane of appropriate area, the accuracy of the collected airflow data is improved to a certain extent, thereby improving the accuracy of the wind intensity data calculated based on the airflow data, and facilitating the selection of air inlet and outlet according to the calculation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a flow chart of the fresh air realization method of the present invention; Figure 2 It is a module composition relationship diagram of the present invention; Figure 3 This is a flow chart of the dominant wind calculation comparison unit of the present invention; Figure 4 This is a flow chart of the fresh air volume calculation optimization unit of the present invention; Figure 5 This is a flow chart of the air inlet and outlet control unit of the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In the description of the present invention, it should be noted that the positional relationship indicated by the terms "inside" and "outside" is only for the convenience of describing the present invention and simplifying the description, and the terms "installed", "provided with", "connected" and the like should be understood in a broad sense. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] See also Figure 1 An embodiment of the present invention is a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: setting a plurality of groups of fresh air duct openings on the outside of a building wall, each group of fresh air duct openings being used as an air inlet or an air outlet, and setting a plurality of groups of fresh air duct openings on the outside of a building wall specifically comprising the following steps: collecting geographical location information of the building wall and historical airflow status information corresponding to the geographical location information, and the historical airflow status information includes historical wind direction information data and historical wind speed information data, combining with a wind flow simulation model, predicting the airflow received by the outside of a target building wall according to the geographical location information and the historical airflow status information, selecting a preset position and a preset number of the fresh air duct openings according to the prediction results, and setting the fresh air duct openings on the outside of the target building wall according to the preset position and the preset number.

[0024] Furthermore, the wind flow simulation model is used to predict the airflow on the outside of the target building wall in combination with the building's geographical location information and the corresponding historical airflow status information, and then the prediction result is used to select the preset position and preset number of the fresh air duct openings, thereby improving the rationality of the fresh air duct opening position setting, avoiding the waste of raw materials for the installation of the fresh air duct openings, making full use of the airflow in the area to which the building belongs, and improving the efficiency of fresh air entry. At the same time, it reduces unnecessary exhaust and is conducive to maintaining the temperature requirements inside the building. See also Figure 1 and Figure 2An embodiment of the present invention provides: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: setting a dominant wind sensing plane on the outside of a building wall, and the dominant wind sensing plane is arranged around the fresh air duct outlet, setting a dominant wind sensing module and an outdoor information acquisition module on the dominant wind sensing plane, the dominant wind sensing module is used to collect airflow data outside the building, wherein the airflow data includes wind pressure, wind direction, and wind speed data, the outdoor information acquisition module is used to collect outdoor environmental information, the area of ​​the dominant wind sensing plane is 0.5 to 2 times the vertical cross-sectional area of ​​the fresh air duct outlet, the dominant wind sensing module includes a wind direction sensor, a wind speed sensor, and a wind pressure sensor, which are respectively used to collect wind direction data Xi, wind speed data Vi, and wind pressure data Pi of the airflow received by the outside of the building wall, the outdoor information acquisition module includes an outdoor temperature sensor and an indoor temperature sensor, which are respectively used to collect outdoor environmental temperature data T1i and outdoor environmental humidity data S1i.

[0025] Furthermore, the dominant wind sensing module on the dominant wind sensing plane is used to collect airflow data on the outside of the building wall, and the airflow data collected by the dominant wind sensing module is used to replace the airflow data at the fresh air duct outlet at the corresponding position. In addition, by setting a dominant wind sensing plane of appropriate area, the accuracy of the collected airflow data is improved to a certain extent, thereby improving the accuracy of the wind intensity data calculated based on the airflow data, which facilitates the selection of inlet and outlet vents based on the calculation results.

[0026] See also Figure 1 and Figure 2 , an embodiment provided by the present invention: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: setting a demand acquisition module inside the building, the demand acquisition module comprising a building body information acquisition unit, an internal environment information acquisition unit and a personnel information acquisition unit, collecting building body information, internal environment information and personnel related information through the demand acquisition module, setting a control module inside the building, and connecting the control module with a fresh air duct port, a dominant wind sensing module and a demand acquisition module; The building information acquisition unit includes an air tightness sensor installed inside the building and located on the side of the connection between the door and window and the building wall, and the building information includes the internal volume R of the building and the air permeability Sj at the connection. The internal environment information acquisition unit includes an indoor temperature sensor, an indoor humidity sensor, and an indoor air quality sensor, and the internal environment information includes the indoor environment average temperature data T2, the indoor environment average humidity data S2 and the indoor average carbon dioxide concentration data N2. The personnel information acquisition unit includes a camera, and the personnel-related information includes the number of personnel Y and personnel status information in the building. The control module includes a standard quantity calculation unit, a dominant wind calculation and comparison unit, a fresh air volume optimization calculation unit and an air inlet and outlet control unit, and the standard quantity calculation unit, the fresh air volume calculation optimization unit, the dominant wind calculation unit and the air inlet and outlet control unit are wirelessly connected.

[0027] Furthermore, by setting up a demand acquisition module, it is convenient to collect relevant information about the building. By setting up a control module, the control module calculates the required fresh air volume of the target building according to the relevant information data collected by the demand acquisition module, and delivers the target amount of fresh air to the interior of the building through the air inlet, thereby meeting the ventilation needs of ultra-low energy consumption buildings, optimizing indoor air quality and improving energy utilization efficiency.

[0028] See also Figure 1 , Figure 2 and Figure 4 An embodiment of the present invention provides: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: a control module calculates dominant wind intensity data according to airflow data, and selects an air inlet and an air outlet according to the calculation result; a control module receives information collected by a demand acquisition module, and calculates the required fresh air volume according to the information; the specific steps are: a standard volume calculation unit is used to calculate the standard fresh air volume required for a target building according to a standard calculation formula for fresh air volume of a building, and the standard fresh air volume , where a is the weight coefficient of the building volume on the demand for fresh air volume, and b is the standard amount of fresh air required for one person; The fresh air volume optimization calculation unit modifies the standard fresh air volume based on outdoor environment information, building information, internal environment information and personnel related information. The modification steps are as follows: The standard fresh air volume Q is corrected based on the personnel status information, and the corrected fresh air demand , where δ is the weight coefficient of the factors affecting the demand for fresh air due to the rest status of people inside the building, and η is the weight coefficient of the factors affecting the demand for fresh air due to the activity status of people inside the building; The fresh air demand Q1 is corrected based on the building information, and the corrected fresh air demand , where γ is the weight coefficient of the factors affecting the air permeability at the connection on the fresh air demand; The fresh air demand is corrected based on the outdoor environment information and the internal environment information, and the actual fresh air demand after correction ,in is a relational expression regarding the outdoor environment temperature data T1i, the outdoor environment humidity data S1i, the indoor environment temperature data T2, the indoor environment humidity data S2 and the indoor carbon dioxide concentration data N2; The establishment of includes the following steps: Get the temperature difference correction coefficient ,in is the temperature correction factor; Get the humidity difference correction factor ,in is the humidity correction factor; Get the CO2 concentration correction factor ,in is the weight coefficient of the factors affecting the demand for fresh air by the indoor carbon dioxide concentration; .

[0029] Furthermore, the required standard fresh air volume is calculated according to the building volume and the number of people inside, and the standard fresh air volume is corrected once according to the activity status of the people inside the building, generating two methods of calculating the fresh air volume under different states. The standard fresh air volume is lowered when the people inside the building are in a resting state, which is beneficial to reducing the energy consumption required to achieve fresh air in the building and improving the comfort of the people inside the building. The fresh air demand is corrected twice according to the air permeability Sj at the connection, which is beneficial to improving the accuracy of the fresh air volume calculation results and reducing the energy consumption required to achieve fresh air in the building to a certain extent. The fresh air demand is corrected for the third time according to the outdoor environmental information and the internal environmental information, which further improves the accuracy of the fresh air demand calculation results, facilitates dynamic adjustment of the number of air inlets and the opening and closing degree of the air inlets according to the calculation results, realizes accurate fresh air supply, reduces energy waste, and realizes ultra-low energy consumption building fresh air delivery.

[0030] See also Figure 1 , Figure 3 and Figure 5 , an embodiment provided by the present invention: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, comprising the following steps: selecting an air inlet according to airflow data and selecting the number of air inlets and regulating the opening and closing degree of the air inlets according to the corrected actual fresh air demand, specifically comprising: selecting an air inlet side according to wind direction data; The windward side building wall is selected as the dominant wind inlet side, and the fresh air duct opening set on the windward side building wall is the air inlet to be selected. The wind intensity data is calculated based on the wind pressure data and wind speed data, and the air inlet is selected based on the wind intensity data. ,in is the wind intensity received by the dominant wind sensing plane outside the i-th new air outlet, α is the weight coefficient of the wind pressure data Pi, β is the weight coefficient of the wind speed data Vi, and the dominant wind Fi is selected from the wind strength data. The wind strength data corresponding to the dominant wind Fi is ,and , and the fresh air duct opening corresponding to the dominant wind Fi is selected as the air inlet, and the air inlet is in an open state, and fresh air is input into the building interior through the air inlet, and the remaining fresh air duct openings set on the windward side of the building wall are substitute air inlets, and the substitute air inlets are in a closed state, the air inlet and exhaust port control unit is electrically connected to the airflow control unit, the flow sensor, and the flow velocity sensor, the flow sensor is used to obtain the actual air intake volume Q4 of the selected air inlet in the current open state, the air inlet and exhaust port control unit is used to compare the actual fresh air demand Q3 with the actual air intake volume Q4, and obtain the comparison result, and output the control instruction to the airflow control unit according to the comparison result, and the comparison result is When , the air inlet and outlet control unit outputs a control instruction to increase the opening and closing degree to the airflow adjustment unit. The comparison results are: When the air inlet and outlet control unit outputs a control instruction to the air flow control unit to reduce the opening and closing degree, the opening and closing degree of the air inlet and outlet is Satisfies the following relationship , the selection of the air inlet also includes the following steps: When the number of air inlets is increased, is the actual air volume at the maximum opening degree of the selected air inlet, and the selection of the new air inlet follows the selection method of the dominant wind intensity data. The number of air inlets M should satisfy the following relationship: , is the actual air intake volume at the maximum opening degree of the selected oth air inlet.

[0031] Furthermore, the fresh air duct opening corresponding to the dominant wind is selected as the air inlet according to the calculation results, and the number of air inlets is selected according to the calculation results. Fresh air that meets the actual fresh air demand is transported to the interior of the building through the selected air inlets, so that the building ventilation volume meets the ultra-low energy consumption fresh air standard, minimizing energy consumption while ensuring ventilation volume and air quality.

[0032] See also Figure 1 , Figure 3 and Figure 5 An embodiment of the present invention provides: a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, wherein the selection of an air inlet further comprises the following steps: selecting a building wall on the windward side as the dominant wind inlet side, a fresh air duct opening provided on the building wall on the windward side as the air inlet to be selected, calculating wind intensity data according to wind pressure data and wind speed data, and selecting an air inlet according to the wind intensity data, and the wind intensity data ,in is the wind intensity received by the dominant wind sensing plane outside the i-th new air outlet, α is the weight coefficient of the wind pressure data Pi, β is the weight coefficient of the wind speed data Vi, and the dominant wind Fi is selected from the wind strength data. The wind strength data corresponding to the dominant wind Fi is ,and , and select the fresh air duct opening corresponding to the dominant wind Fi as the air inlet. When the season is winter or the outdoor ambient temperature is much lower than the comfortable temperature for the internal personnel, , the weight coefficient of the wind pressure data Pi is the main weight coefficient in the calculation formula of the wind intensity data. By setting the calculation formula of wind intensity data for different seasons or temperatures, the purpose of selecting different air inlets according to different climatic conditions can be achieved. For example, in winter, the influence of wind speed on the calculation process of wind intensity data is reduced, and then the fresh air duct opening at a lower wind speed is selected as the air inlet, which is beneficial to avoid excessive temperature loss in the building.

[0033] Working principle: A method for realizing fresh air in ultra-low energy buildings based on a wind pressure matching algorithm comprises the following steps: a plurality of groups of fresh air duct openings are arranged on the outside of the building wall, each group of fresh air duct openings is used as an air inlet or an air outlet, a dominant wind sensing plane is arranged on the outside of the building wall, and the dominant wind sensing plane is arranged around the fresh air duct opening, a dominant wind sensing module and an outdoor information acquisition module are arranged on the dominant wind sensing plane, the dominant wind sensing module is used to collect airflow data outside the building, wherein the airflow data includes wind pressure, wind direction, and wind speed data, the outdoor information acquisition module is used to collect outdoor environment information, a demand acquisition module is arranged inside the building, and the demand acquisition module includes building body information The control module is provided inside the building, and the control module is connected with the fresh air duct port, the dominant wind sensing module and the demand acquisition module. The control module calculates the dominant wind intensity data according to the airflow data, and selects the air inlet and the exhaust outlet according to the calculation result. The control module receives the information collected by the demand acquisition module, calculates the required fresh air volume according to the information, and dynamically adjusts the working status of the air inlet and the exhaust outlet according to the required fresh air volume and the information collected by the dominant wind sensing module and the outdoor information acquisition module under the condition of meeting the required fresh air volume.

[0034] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention can be implemented in other specific forms without departing from the spirit or essential features of the present invention. Therefore, the embodiments should be considered exemplary and non-restrictive in all respects, and the scope of the present invention is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present invention.

Claims

1. A method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm, characterized in that: The following steps are involved: S1. Multiple groups of fresh air duct openings are arranged on the outside of the building wall, and each group of fresh air duct openings is used as an air inlet or an air outlet; S2. A dominant wind sensing plane is arranged outside the building wall, and the dominant wind sensing plane is arranged around the fresh air duct opening. A dominant wind sensing module and an outdoor information acquisition module are arranged on the dominant wind sensing plane. The dominant wind sensing module is used to collect airflow data outside the building, wherein the airflow data includes wind pressure, wind direction, and wind speed data. The outdoor information acquisition module is used to collect outdoor environment information. S3. A demand acquisition module is set inside the building. The demand acquisition module includes a building information acquisition unit, an internal environment information acquisition unit and a personnel information acquisition unit. The building information, internal environment information and personnel related information are collected through the demand acquisition module. S4. A control module is set inside the building, and the control module is connected to the fresh air duct port, the dominant wind sensing module, and the demand acquisition module; S5. The control module calculates the dominant wind intensity data according to the airflow data, and selects the air inlet and the air outlet according to the calculation results. The control module receives the information collected by the demand acquisition module, and calculates the required fresh air volume according to the information; S6. Based on the required fresh air volume and the information collected by the dominant wind sensing module and the outdoor information acquisition module, the working states of the air inlet and the air outlet are dynamically adjusted while meeting the required fresh air volume.

2. According to claim 1, a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm is characterized in that: An air flow regulating unit, a flow sensor and a flow velocity sensor are arranged in the air inlet and the air outlet. The flow sensor and the flow velocity sensor are located on the inner side of the air flow regulating unit. The air flow regulating unit is used to adjust the opening and closing degree of the air inlet and the air outlet.

3. According to claim 1, a method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm is characterized in that: The method of setting up multiple groups of fresh air duct openings on the outside of the building wall specifically includes the following steps: collecting geographical location information of the building wall and historical airflow status information corresponding to the geographical location information, wherein the historical airflow status information includes historical wind direction information data and historical wind speed information data, combining with a wind flow simulation model, predicting the airflow on the outside of the target building wall according to the geographical location information and the historical airflow status information, selecting a preset position and a preset number of fresh air duct openings according to the prediction results, and setting the fresh air duct openings on the outside of the target building wall according to the preset position and the preset number.

4. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 3 is characterized in that: The area of ​​the dominant wind sensing plane is 0.5 to 2 times the vertical cross-sectional area of ​​the fresh air duct outlet. The dominant wind sensing module includes a wind direction sensor, a wind speed sensor and a wind pressure sensor, which are respectively used to collect the wind direction data Xi, wind speed data Vi and wind pressure data Pi of the airflow on the outside of the building wall. The outdoor information acquisition module includes an outdoor temperature sensor and an indoor temperature sensor, which are respectively used to collect the outdoor environment temperature data T1i and the outdoor environment humidity data S1i.

5. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 1, characterized in that: The building information acquisition unit includes an air tightness sensor installed inside the building and located on the side of the connection between the door and window and the building wall, and the building information includes the internal volume R of the building and the air permeability Sj at the connection. The internal environment information acquisition unit includes an indoor temperature sensor, an indoor humidity sensor, and an indoor air quality sensor, and the internal environment information includes the indoor environment average temperature data T2, the indoor environment average humidity data S2 and the indoor average carbon dioxide concentration data N2. The personnel information acquisition unit includes a camera, and the personnel-related information includes the number of personnel Y in the building and personnel status information.

6. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 5, characterized in that: The control module includes a standard quantity calculation unit, a dominant wind calculation and comparison unit, a fresh air volume optimization calculation unit and an air inlet and outlet control unit, and the standard quantity calculation unit, the fresh air volume calculation optimization unit, the dominant wind calculation unit and the air inlet and outlet control unit are wirelessly connected; The standard volume calculation unit is used to calculate the standard fresh air volume required by the target building according to the standard calculation formula for the building fresh air volume, and the standard fresh air volume , where a is the weight coefficient of the impact of building volume on the demand for fresh air volume, and b is the standard amount of fresh air required for one person.

7. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 6 is characterized in that: The fresh air volume optimization calculation unit corrects the standard fresh air volume based on outdoor environment information, building information, internal environment information and personnel related information, and the correction steps are as follows: The standard fresh air volume Q is corrected based on the personnel status information, and the corrected fresh air demand , where δ is the weight coefficient of the factors affecting the demand for fresh air due to the rest status of people inside the building, and η is the weight coefficient of the factors affecting the demand for fresh air due to the activity status of people inside the building; The fresh air demand Q1 is corrected based on the building information, and the corrected fresh air demand , where γ is the weight coefficient of the factors affecting the air permeability at the connection on the fresh air demand; The fresh air demand is corrected based on the outdoor environment information and the internal environment information, and the actual fresh air demand after correction ,in is a relational expression regarding outdoor environment temperature data T1i, outdoor environment humidity data S1i, indoor environment temperature data T2, indoor environment humidity data S2 and indoor carbon dioxide concentration data N2; The establishment of includes the following steps: Get the temperature difference correction coefficient ,in is the temperature correction factor; get the humidity difference correction factor ,in is the humidity correction factor; Get the CO2 concentration correction factor ,in is the weight coefficient of the factors affecting the indoor carbon dioxide concentration on the demand for fresh air; .

8. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 6, characterized in that: The dominant wind calculation and comparison unit is used to calculate the wind intensity data according to the airflow data, and select the air inlet and the air outlet by comparing the calculation results, and the dominant wind calculation and comparison unit specifically includes the following steps: selecting the air inlet side according to the wind direction data; The windward side building wall is selected as the dominant wind inlet side, and the fresh air duct opening provided on the windward side building wall is the air inlet to be selected; Calculate wind intensity data based on wind pressure data and wind speed data, and select air inlet based on wind intensity data; wind intensity data ,in is the wind intensity received by the dominant wind sensing plane outside the i-th new air outlet, α is the weight coefficient of the wind pressure data Pi, and β is the weight coefficient of the wind speed data Vi; Select wind intensity data and select dominant wind Fi. The wind intensity data corresponding to dominant wind Fi is: ,and , and select the fresh air duct opening corresponding to the dominant wind Fi as the air inlet, and input fresh air into the building interior through the air inlet.

9. The method for realizing fresh air in ultra-low energy consumption buildings based on wind pressure matching algorithm according to claim 8, characterized in that: The air inlet and outlet control unit is electrically connected to the airflow control unit, the flow sensor, and the flow velocity sensor. The flow sensor is used to obtain the actual air intake volume Q4 of the selected air inlet in the current open state. The air inlet and outlet control unit is used to compare the actual fresh air demand Q3 with the actual air intake volume Q4, obtain the comparison result, and output the control instruction to the airflow control unit according to the comparison result; The comparison results are When the air inlet and outlet control unit outputs a control instruction to increase the opening and closing degree to the air flow control unit; The comparison results are , the air inlet and outlet control unit outputs a control instruction to reduce the opening and closing degree to the air flow adjustment unit; The opening and closing degree of the air inlet and outlet Satisfies the following relationship .

10. A method for realizing fresh air in ultra-low energy consumption buildings based on a wind pressure matching algorithm according to claim 9, characterized in that: The selection of the air inlet also includes the following steps: When the number of air inlets is increased, It is the actual air intake volume at the maximum opening degree of the selected air inlet.

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