A green building fresh air control method and control system

Abstract

The present invention discloses a green building fresh air control method and control system, which relates to the field of fresh air control technology, and solves the problem of simply performing air exchange without confirming the activity area of ​​indoor personnel, thereby achieving more accurate regional ventilation treatment. The present invention accurately determines the activity area of ​​the mobile feature body, so that the fresh air system can perform air treatment in areas where personnel activities are frequent in a targeted manner. This avoids the energy waste caused by indiscriminate ventilation of traditional fresh air systems, while ensuring that spaces where personnel frequently move can get sufficient fresh air supply, significantly improving the comfort and health protection of indoor personnel; real-time monitoring of indoor and outdoor air quality, and determining whether to perform ventilation by calculating comprehensive indicators. This method fully considers multiple air pollutant indicators. Compared with single indicator judgment, it can more comprehensively and accurately reflect the air quality status.

Description

Technical Field

[0001] The present invention relates to the technical field of fresh air control, and in particular to a green building fresh air control method and control system. Background Art

[0002] Fresh air control is a crucial part of green buildings. It aims to optimize the indoor air environment through intelligent means, achieve energy conservation and emission reduction while ensuring the health and comfort of indoor personnel, introduce fresh air from outdoors, exhaust indoor polluted air, dilute indoor carbon dioxide, formaldehyde, volatile organic compounds (VOCs) and other pollutants, make the indoor air quality meet relevant standards, and provide people with a healthy breathing environment.

[0003] Patent application CN114992793B discloses a fresh air control method for green buildings, which can obtain BIM model data of target buildings. By using the BIM model data, the target building can be accurately divided into target areas. The target areas can be based on rooms according to actual conditions. Because adjacent target areas may have the same or similar temperature demand ranges due to similar functions or similar requirements, target areas with the same temperature demand range can be combined to obtain a constant temperature area group, and then the fresh air path is set for the constant temperature area group, so as to avoid the impact of fresh air on indoor air-conditioning temperature and reduce unnecessary loss of air conditioning; compared with the solution of directly treating fresh air for the entire target building, the division of the target area into constant temperature area groups greatly reduces the total length of each independent fresh air path, thereby reducing wind energy loss and improving the efficiency of fresh air power.

[0004] In the process of fresh air control, green buildings generally control the fresh air associated with the building in real time based on specific monitoring results. However, the original control method is simply to exchange air without confirming the activity areas of indoor personnel, so as to achieve more accurate regional ventilation treatment and achieve more accurate personnel ventilation treatment effects. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a green building fresh air control method and control system, which solves the problem of simply performing air exchange without confirming the activity area of ​​indoor personnel, thereby achieving more accurate regional ventilation treatment.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A green building fresh air control method, comprising the following steps:

[0007] Step 1: Based on the visual monitoring equipment, different monitoring areas of the green building are monitored in real time during the monitoring period, and based on the monitoring images of different monitoring areas monitored in real time, relevant feature bodies with moving features are confirmed and marked as moving feature bodies. The specific method is as follows:

[0008] S11, confirming the initial monitoring screen generated by the corresponding visual monitoring device for the designated monitoring area, each group of initial monitoring screens is a screen associated with the initial time in the corresponding monitoring period, and the monitoring period is a preset period, and processing the initial monitoring screen to confirm the characteristic contours of different characteristic bodies, specifically in the following manner:

[0009] S111, confirm the pixel value of each pixel in the initial monitoring image and mark it as X i Then, the Sobel algorithm is used to confirm the horizontal gradient and vertical gradient of this pixel point, and the confirmed horizontal gradient is calibrated as H i , the confirmed vertical gradient is calibrated as T i ;

[0010] S112, based on the confirmed lateral gradient H i and the vertical gradient T i , confirm the comprehensive gradient Z about this pixel i ,in Confirm the integrated gradient Z i ;

[0011] S113, the comprehensive gradient Z confirmed by the corresponding pixel point i Verify with the preset value Y1, where Y1 is the preset value. i ≥Y1, then mark this pixel as a gradient pixel, lock the feature body based on the feature contour generated by the adjacent gradient pixels, and lock the associated feature body in the corresponding picture based on the overall feature contour confirmed by the corresponding object; if Z i <Y1, no calibration is performed;

[0012] S12, based on different characteristic contours of different characteristic bodies, confirm the center point of the characteristic body, place the confirmed characteristic contour in a two-dimensional coordinate system, and perform mean processing on several groups of two-dimensional coordinates based on the two-dimensional coordinates associated with different contour points, so as to determine the mean point, and the confirmed mean point is the center point of the characteristic contour, and based on the specific position of the mean point in the characteristic contour, confirm the center point of the characteristic body;

[0013] S13, identifying the spatial position of the monitoring screen associated with the center point confirmed by the corresponding feature body at different times, and identifying whether the spatial position of the center point of the same feature body changes in different monitoring screens. If so, such feature body is calibrated as a moving feature body, otherwise, no calibration is performed;

[0014] Step 2: Based on the confirmed mobile feature body, confirm the indoor area where the mobile feature body moves during the monitoring period, and mark the confirmed indoor area as the activity area associated with the mobile feature body, specifically in the following manner:

[0015] Based on the confirmed moving feature body and the associated feature contour, the overlapping areas generated by the moving feature body in different frames within the monitoring period are identified, the overlapping areas confirmed in sequence are integrated, and the activity area associated with the moving feature body in the indoor area is locked;

[0016] Step 3: During the corresponding monitoring period, the indoor air quality and outdoor air quality are monitored in real time, and based on the results of real-time monitoring, the fresh air system is controlled to ventilate the indoor area in real time. The specific sub-steps are as follows:

[0017] S31. Based on the real-time monitored air index, the monitored air quality is determined, and the specific parameters monitored by different air index items are calibrated as C k , where k represents different air index items, and then determine the standard parameter B associated with the corresponding air index item k , where each different air index item corresponds to a different standard parameter, and the standard parameters are all preset parameters, using: TZ k =B k -C k Determine the index characteristic TZ associated with the corresponding air index item k , the index characteristics TZ associated with several groups of air index items k Perform summation processing to confirm comprehensive indicators;

[0018] S32, calibrate the comprehensive indicators confirmed by the corresponding indoor and outdoor air qualities as ZH1 and ZH2, if ZH1≤ZH2, no processing is performed, if ZH1>ZH2, a fresh air control signal is generated, and the fresh air control system performs real-time ventilation of the room based on the fresh air control signal, and stops when the monitored comprehensive indicator ZH1≤ZH2;

[0019] Step 4: Based on the activity area determined indoors in the green building, determine the radiation area associated with the corresponding fresh air outlet in the fresh air control process, overlap the radiation area and the activity area, determine the actual control angle of the corresponding fresh air outlet, and control the fresh air outlet in real time. The specific control method is:

[0020] S41, confirming the radiation area of ​​the indoor fresh air outlet, determining the specific range radiated by the corresponding rotation angle based on the rotation angle associated with the corresponding fresh air outlet, and marking the determined specific range as the radiation area of ​​the corresponding fresh air outlet;

[0021] S42. Identify the intersection area generated between the corresponding radiation area and the active area, determine the corresponding intersection area, then lock the rotation angle associated with the corresponding intersection area, use the locked rotation angle as the actual control angle of the corresponding fresh air outlet, and control the fresh air outlet in real time based on the determined actual control angle.

[0022] Preferably, a green building fresh air control system comprises:

[0023] The mobile feature body confirmation terminal performs real-time monitoring of different monitoring areas indoors of the green building based on the visual monitoring equipment during the monitoring period, and confirms the relevant feature bodies with mobile features based on the monitoring images belonging to different monitoring areas monitored in real time, and marks them as mobile feature bodies;

[0024] The activity area confirmation terminal confirms the indoor area where the mobile feature body moves within the monitoring period based on the confirmed mobile feature body, and marks the confirmed indoor area as the activity area associated with the mobile feature body;

[0025] The fresh air ventilation control terminal monitors the indoor air quality and outdoor air quality in real time during the corresponding monitoring period, and controls the fresh air system based on the real-time monitoring results to perform real-time ventilation of the indoor area;

[0026] The real-time fresh air control terminal determines the radiation area associated with the corresponding fresh air outlet in the fresh air control process based on the activity area determined indoors in the green building, overlaps the radiation area and the activity area, determines the actual control angle of the corresponding fresh air outlet, and controls the fresh air outlet in real time.

[0027] The present invention provides a green building fresh air control method and control system. Compared with the prior art, it has the following beneficial effects:

[0028] The present invention accurately determines the activity area of ​​the moving feature body, so that the fresh air system can treat the air in the area where people move frequently in a targeted manner. This avoids the energy waste caused by the indiscriminate ventilation of the traditional fresh air system, and at the same time ensures that the space where people frequently move can get sufficient fresh air supply, significantly improving the comfort and health protection of indoor personnel;

[0029] Real-time monitoring of indoor and outdoor air quality, and the determination of whether to ventilate by calculating comprehensive indicators, this method fully considers multiple air pollutant indicators. Compared with a single indicator, it can more comprehensively and accurately reflect the air quality status;

[0030] Accurately determine the radiation area of ​​the fresh air vents and conduct overlap analysis with the personnel activity area to determine the actual control angle of the fresh air vents; this refined control method ensures that the fresh air can accurately cover the personnel activity area. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the process of the present invention;

[0032] Figure 2 It is a schematic diagram of the original path framework of the present invention. DETAILED DESCRIPTION

[0033] 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.

[0034] First embodiment

[0035] See also Figure 1 The present application provides a green building fresh air control method, comprising the following steps:

[0036] Step 1: Based on the visual monitoring equipment, different indoor monitoring areas of the green building are monitored in real time during the monitoring period, and based on the monitoring images of different monitoring areas monitored in real time, relevant feature bodies with moving features are confirmed and marked as moving feature bodies. Specifically, the visual monitoring equipment can cover the indoor area of ​​the building in all directions, and relevant personnel will install relevant monitoring equipment in advance to conduct specific monitoring of the designated monitoring areas;

[0037] The specific method of confirming the moving feature body is as follows:

[0038] S11. Confirm the initial monitoring screen generated by the corresponding visual monitoring equipment for the designated monitoring area. Each set of initial monitoring screens is the screen associated with the initial moment in the corresponding monitoring period. The monitoring period is a preset period, which is prepared in advance by relevant personnel and is generally 1 hour. The initial monitoring screen is processed to confirm the characteristic contours of different feature bodies:

[0039] S111, confirm the pixel value of each pixel in the initial monitoring image and mark it as X iThen, the Sobel algorithm is used to confirm the horizontal gradient and vertical gradient of this pixel point, and the confirmed horizontal gradient is calibrated as H i , the confirmed vertical gradient is calibrated as T i Specifically, when confirming the horizontal gradient and the vertical gradient, it is necessary to confirm the eight groups of pixels adjacent to the pixel point, and assign weights associated with the pixel values ​​of each different pixel point, and then lock the horizontal gradient and the vertical gradient associated with the corresponding pixel point based on the assigned weights. Since this type of processing method is relatively common in the prior art, it will not be described in detail here;

[0040] S112, based on the confirmed lateral gradient H i and the vertical gradient T i , confirm the comprehensive gradient Z about this pixel i ,in Confirm the integrated gradient Z i ;

[0041] S113, the comprehensive gradient Z confirmed by the corresponding pixel point i Check with the preset value Y1, where Y1 is the preset value, and its specific value is determined by the operator based on experience. i <Y1, no calibration is performed. If Z i ≥Y1, the pixel point is marked as a gradient pixel point, and the feature body is locked based on the feature contour generated by the adjacent gradient pixel points. Based on the overall feature contour confirmed by the corresponding object, the associated feature body can be locked in the corresponding picture;

[0042] S12, based on different characteristic contours of different characteristic bodies, confirm the center point of the characteristic body, place the confirmed characteristic contour in a two-dimensional coordinate system, and perform mean processing on several groups of two-dimensional coordinates based on the two-dimensional coordinates associated with different contour points, so as to determine the mean point, and the confirmed mean point is the center point of the characteristic contour, and based on the specific position of the mean point in the characteristic contour, confirm the center point of the characteristic body;

[0043] S13, identifying the spatial position of the monitoring screen associated with the center point confirmed by the corresponding feature body at different times, identifying whether the spatial position of the center point of the same feature body changes in different monitoring screens, if it changes, then such feature body is calibrated as a mobile feature body, otherwise, no calibration is performed, specifically, the so-called mobile feature body is a corresponding object that moves in different monitoring screens, then it is a dynamic moving object, so it is highly likely to be a person or an animal, etc. Based on the specific area where the corresponding mobile feature body moves, the activity area associated with the building interior is confirmed;

[0044] Step 2: Based on the confirmed mobile feature body, confirm the indoor area where the mobile feature body moves during the monitoring period, and mark the confirmed indoor area as the activity area associated with the mobile feature body, wherein the specific method of determining the activity area is:

[0045] Based on the confirmed moving feature body and the associated feature contour, the overlapping areas generated by the moving feature body in different frames within the monitoring period are identified, the overlapping areas confirmed in sequence are integrated, and the activity area associated with the moving feature body in the indoor area is locked;

[0046] Step 3: During the corresponding monitoring period, the indoor air quality and the outdoor air quality are monitored in real time, and based on the results of the real-time monitoring, the fresh air system is controlled to ventilate the indoor area in real time. Specifically, the indoor air quality is acquired by the sensor set in the designated area indoors, and the outdoor air quality is acquired by the sensor set in the designated area of ​​the air exchange outlet. When the outdoor air flow is large, the air quality is generally good, so ventilation can be performed. When the outdoor air quality is still lower than the indoor air quality, ventilation processing is not performed, so as to ensure the overall quality of the indoor air and achieve a better fresh air control processing effect;

[0047] The specific sub-steps of performing real-time ventilation are as follows:

[0048] S31. Based on the real-time monitored air index, the monitored air quality is determined, and the specific parameters monitored by different air index items are calibrated as C k , where k represents different air index items, and then determine the standard parameter B associated with the corresponding air index item k , where each different air index item corresponds to a different standard parameter, and the standard parameters are all preset parameters, which are formulated by relevant operators based on experience, using: TZ k =B k -C k Determine the index characteristic TZ associated with the corresponding air index item k The air index items monitored here are all air pollution items. The higher the index parameter, the worse the corresponding air index is. The lower the index parameter, the better the corresponding air index is. The index characteristics TZ associated with several groups of air index items are k Perform summation processing to confirm comprehensive indicators;

[0049] S32, calibrate the comprehensive indicators confirmed by the corresponding indoor and outdoor air qualities as ZH1 and ZH2, if ZH1≤ZH2, no processing is performed, if ZH1>ZH2, a fresh air control signal is generated, and the fresh air control system performs real-time ventilation for the room based on the fresh air control signal, and stops when the monitored comprehensive indicator ZH1≤ZH2. The outdoor air quality is in an uncontrollable state. When it is affected by relevant air pollution, the outdoor air quality will be worse than the indoor air quality, and it is necessary to stop ventilation;

[0050] Step 4: Based on the activity area determined indoors in the green building, determine the radiation area associated with the corresponding fresh air outlet in the fresh air control process, overlap the radiation area and the activity area, determine the actual control angle of the corresponding fresh air outlet, and control the fresh air outlet in real time. The specific control method is as follows:

[0051] S41, confirming the radiation area of ​​the indoor fresh air outlet, determining the specific range radiated by the corresponding rotation angle based on the rotation angle associated with the corresponding fresh air outlet, and marking the determined specific range as the radiation area of ​​the corresponding fresh air outlet;

[0052] S42, identifying the intersection area generated between the corresponding radiation area and the activity area, determining the corresponding intersection area, and then locking the rotation angle associated with the corresponding intersection area, using the locked rotation angle as the actual control angle of the corresponding fresh air outlet, and controlling the fresh air outlet in real time based on the determined actual control angle to ensure the overall quality of the corresponding indoor air and achieve better real-time control effect;

[0053] Specifically, when the corresponding indoor area is controlling the fresh air, it is generally necessary to control the relevant air outlet angles to perform overall control of the fresh air environment. By determining this control angle, the indoor environment can be effectively ventilated to ensure that the activity areas of the corresponding personnel are fully covered, thereby achieving better indoor air purification treatment effects.

[0054] Second embodiment

[0055] Combination Figure 2 , a green building fresh air control system, comprising:

[0056] The mobile feature body confirmation terminal performs real-time monitoring of different monitoring areas indoors of the green building based on the visual monitoring equipment during the monitoring period, and confirms the relevant feature bodies with mobile features based on the monitoring images belonging to different monitoring areas monitored in real time, and marks them as mobile feature bodies;

[0057] The activity area confirmation terminal confirms the indoor area where the mobile feature body moves within the monitoring period based on the confirmed mobile feature body, and marks the confirmed indoor area as the activity area associated with the mobile feature body;

[0058] The fresh air ventilation control terminal monitors the indoor air quality and outdoor air quality in real time during the corresponding monitoring period, and controls the fresh air system based on the real-time monitoring results to perform real-time ventilation of the indoor area;

[0059] The real-time fresh air control terminal determines the radiation area associated with the corresponding fresh air outlet in the fresh air control process based on the activity area determined indoors in the green building, overlaps the radiation area and the activity area, determines the actual control angle of the corresponding fresh air outlet, and controls the fresh air outlet in real time.

[0060] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0061] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A green building fresh air control method, characterized in that: The following steps are involved: Step 1: Based on the visual monitoring equipment, different monitoring areas of the green building are monitored in real time during the monitoring period, and based on the monitoring images of different monitoring areas monitored in real time, relevant feature bodies with moving features are confirmed and marked as moving feature bodies; Step 2: based on the confirmed mobile feature body, confirm the indoor area where the mobile feature body moves during the monitoring period, and mark the confirmed indoor area as the activity area associated with the mobile feature body; Step 3: During the corresponding monitoring period, the indoor air quality and the outdoor air quality are monitored in real time, and based on the results of the real-time monitoring, the fresh air system is controlled to perform real-time ventilation of the indoor area; Step 4: Based on the activity area determined indoors in the green building, determine the radiation area associated with the corresponding fresh air outlet in the fresh air control process, overlap the radiation area and the activity area, determine the actual control angle of the corresponding fresh air outlet, and control the fresh air outlet in real time.

2. A green building fresh air control method according to claim 1, characterized in that: In the step 1, the specific method of confirming the moving feature body is: S11, confirming the initial monitoring images generated by the corresponding visual monitoring equipment for the designated monitoring area, each group of initial monitoring images is an image associated with the initial time in the corresponding monitoring period, and the monitoring period is a preset period, and processing the initial monitoring images to confirm the characteristic contours of different characteristic bodies; S12, based on different characteristic contours of different characteristic bodies, confirm the center point of the characteristic body, place the confirmed characteristic contour in a two-dimensional coordinate system, and perform mean processing on several groups of two-dimensional coordinates based on the two-dimensional coordinates associated with different contour points, so as to determine the mean point, and the confirmed mean point is the center point of the characteristic contour, and based on the specific position of the mean point in the characteristic contour, confirm the center point of the characteristic body; S13, identifying the spatial position of the monitoring screen associated with the center point confirmed by the corresponding feature body at different times, and identifying whether the spatial position of the center point of the same feature body changes in different monitoring screens. If so, such feature body is calibrated as a moving feature body, otherwise, no calibration is performed.

3. A green building fresh air control method according to claim 1, characterized in that: In step S11, the specific method of confirming the feature profiles of different feature bodies is: S111, confirm the pixel value of each pixel in the initial monitoring image and mark it as X i Then, the Sobel algorithm is used to confirm the horizontal gradient and vertical gradient of this pixel point, and the confirmed horizontal gradient is calibrated as H i , the confirmed vertical gradient is calibrated as T i ; S112, based on the confirmed lateral gradient H i and the vertical gradient T i , confirm the comprehensive gradient Z about this pixel i ,in Confirm the integrated gradient Z i ; S113, the comprehensive gradient Z confirmed by the corresponding pixel point i Verify with the preset value Y1, where Y1 is the preset value. i ≥Y1, the pixel point is marked as a gradient pixel point, and the feature body is locked based on the feature contour generated around the adjacent gradient pixel points. Based on the overall feature contour confirmed by the corresponding object, the associated feature body is locked in the corresponding picture.

4. A green building fresh air control method according to claim 3, characterized in that: In step S113, if Z i <Y1, no calibration is performed.

5. A green building fresh air control method according to claim 1, characterized in that: In step 2, the specific method of confirming the activity area is: Based on the confirmed moving feature body and the associated feature contour, the overlapping areas generated by the moving feature body in different frames within the monitoring period are identified, the overlapping areas confirmed in sequence are integrated, and the activity area associated with the moving feature body in the indoor area is locked.

6. A green building fresh air control method according to claim 1, characterized in that: In step 3, the specific sub-steps of performing real-time ventilation on the indoor area are: S31. Based on the real-time monitored air index, the monitored air quality is determined, and the specific parameters monitored by different air index items are calibrated as C k , where k represents different air index items, and then determine the standard parameter B associated with the corresponding air index item k , where each different air index item corresponds to a different standard parameter, and the standard parameters are all preset parameters, using: TZ k =B k -C k Determine the index characteristic TZ associated with the corresponding air index item k , the index characteristics TZ associated with several groups of air index items k Perform summation processing to confirm comprehensive indicators; S32. The comprehensive indicators confirmed by the corresponding indoor and outdoor air qualities are calibrated as ZH1 and ZH2. If ZH1≤ZH2, no processing is performed. If ZH1>ZH2, a fresh air control signal is generated. The fresh air control system performs real-time ventilation in the room based on the fresh air control signal and stops when the monitored comprehensive indicator ZH1≤ZH2.

7. A green building fresh air control method according to claim 6, characterized in that: In step 4, the specific control method for real-time control of the fresh air outlet is: S41, confirming the radiation area of ​​the indoor fresh air outlet, determining the specific range radiated by the corresponding rotation angle based on the rotation angle associated with the corresponding fresh air outlet, and marking the determined specific range as the radiation area of ​​the corresponding fresh air outlet; S42. Identify the intersection area generated between the corresponding radiation area and the active area, determine the corresponding intersection area, then lock the rotation angle associated with the corresponding intersection area, use the locked rotation angle as the actual control angle of the corresponding fresh air outlet, and control the fresh air outlet in real time based on the determined actual control angle.

8. A green building fresh air control system, the control system is used to execute a green building fresh air control method according to any one of claims 1 to 7, characterized in that: include: The mobile feature body confirmation terminal performs real-time monitoring of different monitoring areas indoors of the green building based on the visual monitoring equipment during the monitoring period, and confirms the relevant feature bodies with mobile features based on the monitoring images belonging to different monitoring areas monitored in real time, and marks them as mobile feature bodies; The activity area confirmation terminal confirms the indoor area where the mobile feature body moves within the monitoring period based on the confirmed mobile feature body, and marks the confirmed indoor area as the activity area associated with the mobile feature body; The fresh air ventilation control terminal monitors the indoor air quality and outdoor air quality in real time during the corresponding monitoring period, and controls the fresh air system based on the real-time monitoring results to perform real-time ventilation of the indoor area; The real-time fresh air control terminal determines the radiation area associated with the corresponding fresh air outlet in the fresh air control process based on the activity area determined indoors in the green building, overlaps the radiation area and the activity area, determines the actual control angle of the corresponding fresh air outlet, and controls the fresh air outlet in real time.

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