A method of integrating thermal imaging control VAV variable air volume system

Abstract

The application relates to the technical field of air conditioner control, and discloses a method for controlling a VAV (Variable Air Volume) system by integrating thermal imaging, which comprises the following steps: an indoor thermal image data uploaded by a thermal imaging sensor is acquired by a building equipment monitoring system host, and a personnel thermal demand area is generated; the positions, air supply directions and historical adjustment response results of VAV terminals are acquired, and air supply influence areas corresponding to the VAV terminals are obtained; the personnel thermal demand area and the air supply influence areas are overlapped and matched in the same indoor space coordinate system, and a matching result is generated; when the matching result does not reach a preset matching judgment condition, a control correlation weight is corrected according to a historical response intensity, and a corrected control corresponding relationship is generated; a target air volume is generated according to the thermal demand and the control correlation weight, and is sent to corresponding VAV terminals to perform variable air volume adjustment; and the application can reduce invalid adjustment caused by the mismatch between a thermal imaging detection area and an actual air supply influence area of a VAV.

Description

Technical Field

[0001] This application relates to the field of air conditioning control technology, and more specifically, to a method for integrating thermal imaging control of a VAV variable air volume system. Background Technology

[0002] Variable Air Volume (VAV) systems are a common type of terminal control system in building air conditioning systems. VAV systems typically adjust the airflow delivered to an indoor area to achieve set air parameters such as temperature and air velocity. Most existing VAV systems use fixed control panels, indoor temperature sensors, or preset control strategies for adjustment, allowing for control of the VAV terminals based on changes in the ambient air temperature.

[0003] With the application of thermal imaging sensors in smart buildings, existing VAV (Variable Air Volume) systems can acquire indoor occupant distribution, body surface temperature changes, and local thermal demand through thermal images. The control unit can then adjust the airflow or supply air temperature at the corresponding VAV terminal based on the thermal imaging analysis results. This approach enables the incorporation of occupant thermal status information into VAV terminal control.

[0004] However, in actual building spaces, the detection area formed by thermal imaging sensors is typically determined by the sensor's installation location, field of view, and image coordinates. The actual air supply influence range of a VAV terminal, on the other hand, is affected by factors such as vent location, air supply direction, ceiling height, office partitions, furniture arrangement, and return air path. In other words, the area of ​​human thermal demand identified in the thermal imaging image is not necessarily equivalent to the actual air supply area that a particular VAV terminal can influence. Existing methods that directly assign human thermal demand to corresponding VAV terminals based solely on image or room areas are prone to inconsistencies between the identified thermal demand target and the target of air supply execution.

[0005] For example, in an open-plan office area, thermal imaging sensors collect thermal images of multiple workstations from an upward angle, dividing adjacent workstations into the same thermal demand area. However, due to the presence of partitions and the fact that two VAV (Variable Air Volume) vents blow air in different directions, two people in the same area in the thermal image are actually affected by different VAV terminals. When one person's body temperature is higher, if the system adjusts only a certain VAV terminal according to the thermal image area binding relationship, it may adjust the vent to a position where the actual airflow impact on that person is weaker than a preset historical response intensity threshold, while the VAV terminal that truly affects that person remains unadjusted.

[0006] If this problem cannot be solved, although the system can identify the thermal needs of personnel, it cannot accurately apply the thermal needs to the actual air supply targets. This results in the actual hotter locations still being hotter, while adjacent areas are over-air supplied, causing local overcooling, wasted air volume, and control misjudgment. Therefore, it is necessary to solve the matching and correction problem between the thermal imaging detection area and the actual air supply influence area of ​​the VAV. Summary of the Invention

[0007] This application provides a method for integrating thermal imaging to control a VAV variable air volume system. When the thermal imaging detection area is inconsistent with the actual air supply influence area of ​​the VAV, the control correspondence between the area of ​​human thermal demand and the VAV terminal can be corrected, so that the human thermal demand can be allocated to the VAV terminal that actually has the air supply influence.

[0008] The method is executed by the building equipment monitoring system host and includes: Acquire indoor thermal image data uploaded by a thermal imaging sensor according to a preset acquisition cycle, perform personnel target identification and thermal demand analysis on the indoor thermal image data, and generate a personnel thermal demand area that includes area identification, personnel location range and thermal demand amount, wherein the thermal demand amount is a value with adjustment direction. The terminal position, air supply direction, and historical adjustment response results of each VAV terminal are obtained. The initial air supply influence zone is determined based on the terminal position and the air supply direction. The initial air supply influence zone is then corrected based on the historical adjustment response results to obtain the air supply influence zone corresponding to each VAV terminal. Within the same indoor spatial coordinate system, the thermal demand area of ​​the personnel is overlapped and matched with each air supply influence area to generate matching results. The matching results include candidate VAV terminal identifiers, overlap ratios, and historical response intensities. When the matching result does not meet the preset matching judgment condition, the control association weight between the personnel thermal demand area and the candidate VAV end is corrected according to the historical response intensity, and a corrected control correspondence is generated. The corrected control correspondence includes the personnel thermal demand area identifier, the candidate VAV end identifier and the control association weight. The target air volume of the candidate VAV terminal is generated based on the heat demand and the control association weight, and the target air volume is sent to the corresponding VAV terminal to perform variable air volume regulation; Obtain the temperature change results for the same personnel's thermal demand area after variable air volume adjustment, and update the historical adjustment response results based on the temperature change results.

[0009] Furthermore, the indoor thermal image data includes at least one of the following: temperature value of each pixel in the thermal image, thermal image acquisition time, thermal imaging sensor identifier, and pixel coordinates; After receiving the indoor thermal image data, the host of the building equipment monitoring system determines the corresponding indoor space area based on the thermal imaging sensor identifier, and associates the indoor thermal image data, the thermal image acquisition time, and the indoor space area.

[0010] Furthermore, the step of performing personnel target recognition and thermal demand analysis on the indoor thermal image data to generate a personnel thermal demand area that includes area identifiers, personnel location ranges, and thermal demand quantities includes: Pixels whose temperature values ​​fall within the human body temperature recognition range are extracted from the indoor thermal image data, and adjacent pixels are connected to obtain connected regions. Based on whether the area of ​​the connected region is within a preset area range, whether the aspect ratio of the bounding rectangle of the connected region is within a preset aspect ratio range, and whether the number of times the connected region appears in a preset number of consecutive thermal images is not less than a preset number of occurrences threshold, a person target is determined from the connected region. The range of the personnel's location is determined based on the image position of the personnel target in the thermal image and the mapping relationship between the image coordinates and the indoor space coordinates; The heat demand is determined based on the deviation between the body surface temperature characteristics corresponding to the target personnel and the preset comfortable temperature range; The personnel location range is associated with the heat demand to generate the personnel heat demand area.

[0011] Furthermore, the human body temperature recognition range, the area determination threshold corresponding to the area of ​​the connected region, the ratio determination threshold corresponding to the ratio of the bounding rectangle of the connected region, and the frame number determination threshold corresponding to the number of consecutive frames are all determined by the system debugging stage based on the temperature measurement error of the thermal imaging sensor, the indoor ambient temperature, and the target human sample, and are stored in the control parameter table of the building equipment monitoring system host.

[0012] Furthermore, the mapping relationship between the image coordinates and the indoor space coordinates is obtained through the following method: After the thermal imaging sensor is installed, select multiple calibration points in the indoor space; Obtain the image coordinates of each calibration point in the thermal image and its spatial coordinates in the indoor floor plan; Based on the image coordinates and spatial coordinates of each calibration point, establish the mapping relationship from image coordinates to indoor spatial coordinates; The mapping relationship is used to convert the image location of a person target in a thermal image into the range of the person's location in an indoor space.

[0013] Furthermore, the body surface temperature characteristics include any one of the average value, median value, or preset percentile value of temperature values ​​within the target area of ​​the person; The step of determining the heat demand based on the deviation between the body surface temperature characteristics corresponding to the target person and the preset comfort temperature range includes: When the body surface temperature characteristic is higher than the upper limit of the preset comfortable temperature range, it is determined that the area of ​​human thermal demand has a cooling requirement, and the amount of thermal demand with a cooling direction is determined according to the extent to which the body surface temperature characteristic exceeds the upper limit. When the body surface temperature characteristic is lower than the lower limit of the preset comfortable temperature range, it is determined that the area of ​​human thermal demand has a need for heating, and the amount of thermal demand with a heating direction is determined according to the extent to which the body surface temperature characteristic is lower than the lower limit. When the body surface temperature characteristic is within the preset comfort temperature range, it is determined that the person's thermal demand area has no adjustment need or has a low level of adjustment need.

[0014] Further, the step of acquiring the terminal position, air supply direction, and historical adjustment response results of each VAV terminal, determining the initial air supply influence zone based on the terminal position and the air supply direction, and correcting the initial air supply influence zone based on the historical adjustment response results to obtain the air supply influence zone corresponding to each VAV terminal includes: Obtain the terminal location of each VAV terminal in the indoor space from equipment ledgers, building information models, construction drawings, or on-site calibration tables; Determine the air supply direction of each VAV terminal based on the air outlet orientation, guide vane angle, air outlet type, or on-site commissioning records; Starting from the terminal position, the initial air supply influence zone is determined along the air supply direction; Based on the historical response intensity in the historical adjustment response results, the influence weights of each spatial grid within the initial air supply influence zone are corrected to obtain the air supply influence zone.

[0015] Furthermore, the historical adjustment response results include VAV terminal identifier, personnel thermal demand area identifier, air volume adjustment amount, temperature result before adjustment, temperature result after adjustment, temperature change direction, and historical response intensity. When the historical adjustment response result is not available, the initial air supply influence area is determined as the air supply influence area of ​​the corresponding VAV terminal, and the initial response intensity of the corresponding VAV terminal is read from the control parameter table. The initial response intensity is determined by the system commissioning stage based on the air outlet type, air supply direction and designed air supply coverage.

[0016] Furthermore, within the same indoor spatial coordinate system, the overlapping matching of the personnel thermal demand area with each air supply influence area to generate matching results includes: The areas of human thermal demand and each air supply influence zone are converted into indoor space grid sets; The number of overlapping grids between the spatial grid set corresponding to the personnel thermal demand area and the spatial grid set corresponding to each air supply influence area is counted. The overlap ratio is determined based on the number of overlapping grids and the total number of spatial grids corresponding to the personnel thermal demand area; VAV ends with an overlap ratio not less than a preset candidate ratio threshold, or whose overlap ratio is within a preset number of candidates, are identified as candidate VAV ends. The matching results are generated based on the candidate VAV end identifier, overlap ratio, and historical response intensity.

[0017] Furthermore, the preset matching judgment condition is a combination of judgment items consisting of overlap ratio judgment items, historical response intensity judgment items, and temperature change direction judgment items; The overlap ratio determination item is that the overlap ratio is not less than a preset overlap ratio threshold. The historical response intensity determination item is that the historical response intensity is not less than a preset historical response intensity threshold. The temperature change direction determination item is that the temperature change direction recorded in the historical adjustment response results is consistent with the target adjustment direction; If at least one of the specified items in the matching criteria is not met, the matching result is determined to have failed to meet the preset matching criteria.

[0018] Further, the step of correcting the control association weights between the personnel thermal demand region and the candidate VAV terminal based on the historical response intensity to generate the corrected control correspondence includes: Based on the overlap ratio and the historical response intensity, the initial control association weight between the personnel thermal demand region and the candidate VAV terminal is determined; When the historical response strength corresponding to the candidate VAV end is not less than the preset historical response strength threshold, the initial control association weight corresponding to the candidate VAV end is increased. When the historical response strength corresponding to the candidate VAV end is less than the preset historical response strength threshold, the initial control association weight corresponding to the candidate VAV end is reduced. The control association weights of multiple candidate VAV terminals corresponding to the same personnel's heat demand area are normalized. The corrected control correspondence is generated based on the normalized control association weights.

[0019] Further, generating the target airflow of the candidate VAV terminal based on the heat demand and the control association weights includes: Based on the adjustment direction of the heat demand and the control association weight, determine the air volume adjustment direction corresponding to the candidate VAV terminal; Based on the magnitude of the heat demand and the control association weight, determine the air volume adjustment amount corresponding to the candidate VAV terminal; Obtain the current air volume, minimum allowable air volume, and maximum allowable air volume of the candidate VAV terminal; The current air volume is superimposed with the air volume adjustment amount according to the air volume adjustment direction to obtain the air volume to be limited; When the air volume to be limited is less than the minimum allowable air volume, the minimum allowable air volume is determined as the target air volume; When the air volume to be limited is greater than the maximum allowable air volume, the maximum allowable air volume is determined as the target air volume; When the air volume to be limited is between the minimum allowable air volume and the maximum allowable air volume, the air volume to be limited is determined as the target air volume.

[0020] Furthermore, the step of acquiring the temperature change results of the same personnel heat demand area after variable air volume adjustment, and updating the historical adjustment response results based on the temperature change results, includes: After the variable air volume adjustment is completed at the corresponding VAV terminal and a preset response time is elapsed, the adjusted temperature result for the same person's thermal demand area is obtained. The adjusted temperature result is compared with the temperature result before adjustment to determine the amount and direction of temperature change. Based on the temperature change amount, the direction of temperature change, and the corresponding airflow adjustment amount at the VAV terminal, determine the new historical response intensity; The corresponding VAV terminal identifier, personnel thermal demand area identifier, air volume adjustment amount, temperature change amount, temperature change direction, and new historical response intensity are associated and saved, and the historical adjustment response results are updated.

[0021] Compared with related technologies, this application has the following advantages: First, this invention generates a thermal demand area for personnel by performing personnel target identification and thermal demand analysis on indoor thermal image data, and transforms the personnel thermal demand area into an indoor spatial coordinate system. This enables the image detection results obtained by the thermal imaging sensor to form a control input with personnel location range and thermal demand, avoiding VAV terminal adjustment based solely on the overall room temperature or fixed area temperature. This provides more specific information on personnel location and thermal demand for variable air volume control.

[0022] Second, the present invention determines the initial air supply influence zone based on the terminal position and air supply direction of each VAV terminal, and corrects the initial air supply influence zone by combining the historical adjustment response results, thus obtaining the air supply influence zone corresponding to each VAV terminal; thereby, the air supply influence zone is no longer statically determined by the design position or air outlet orientation, but can be corrected by combining the temperature change results of personnel heat demand area after the historical adjustment of VAV terminal, so that the air supply influence zone is closer to the air supply effect range under actual operating conditions.

[0023] Third, within the same indoor spatial coordinate system, this invention performs overlap matching between the thermal demand area of ​​personnel and each air supply influence area, generating matching results including candidate VAV terminal identifiers, overlap ratios, and historical response intensities. When the matching results do not meet the preset matching judgment conditions, the control association weight between the thermal demand area of ​​personnel and the candidate VAV terminals is adjusted based on the historical response intensities. Thus, it can reduce the mismatch of control objects caused by the inconsistency between the thermal imaging detection area and the actual air supply influence area of ​​the VAV, and prioritize the allocation of personnel thermal demand to VAV terminals that have an actual air supply influence on them.

[0024] Fourth, the present invention generates the target air volume of candidate VAV terminals based on heat demand and control association weights, and sends the target air volume to the corresponding VAV terminal to perform variable air volume adjustment. This allows the air volume adjustment to be constrained by the direction of heat demand, the magnitude of heat demand, and control association weights simultaneously, avoiding the inaccurate adjustment tasks undertaken by a single VAV terminal due to a fixed binding relationship, and reducing the possibility of insufficient adjustment in truly hot areas and excessive air supply to adjacent areas.

[0025] Fifth, this invention obtains the temperature change results of the same personnel's heat demand area after variable air volume adjustment, and updates the historical adjustment response results based on the temperature change results, so that subsequent correction of the air supply influence area and control correlation weight can continue to utilize the actual adjustment feedback; thereby, a closed-loop control process can be formed from heat demand identification, air supply influence area matching, target air volume execution to historical response update, improving the accuracy, continuity and operational adaptability of subsequent VAV terminal allocation and air volume adjustment. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a schematic diagram of the implementation environment of an integrated thermal imaging control VAV variable air volume system provided in an embodiment of this application.

[0028] Figure 2 This is a flowchart of a method for integrating thermal imaging to control a VAV variable air volume system, provided in an embodiment of this application.

[0029] Figure 3 This is a schematic diagram of a scenario where there is a mismatch between the area of ​​thermal demand for personnel and the VAV air supply influence area, as provided in an embodiment of this application.

[0030] Figure 4 This is a schematic diagram of a process for correcting the control correspondence based on historical adjustment response results, provided in an embodiment of this application. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0032] It is understood that the terms "first," "second," etc., used in this application may be used herein to describe various objects, but unless otherwise specified, these objects are not limited by these terms. These terms are used only to distinguish one object from another. For example, without departing from the scope of this application, a first VAV end may be referred to as a second VAV end, and similarly, a second VAV end may be referred to as a first VAV end.

[0033] In this application embodiment, the VAV terminal refers to the terminal device in the variable air volume air conditioning system used to adjust the amount of air delivered to the corresponding area. It may include at least one of the following: air valve, air valve actuator, air volume detection component, and communication component. The VAV terminal can communicate with the building equipment monitoring system host and perform variable air volume adjustment according to the target air volume issued by the building equipment monitoring system host.

[0034] The thermal imaging sensor in this embodiment is used to acquire indoor thermal image data. The indoor thermal image data may include at least one of the following: temperature value of each pixel in the thermal image, thermal image acquisition time, thermal imaging sensor identifier, and image coordinates corresponding to each pixel in the thermal image; the thermal imaging sensor may be installed in indoor office areas, meeting areas, activity areas, commercial public areas, or other indoor areas that require thermal comfort control.

[0035] In this embodiment, the thermal demand area for personnel refers to a data object determined based on indoor thermal image data, which includes an area identifier, a personnel location range, and a thermal demand quantity. The area identifier is used to distinguish different thermal demand areas for personnel. The personnel location range is used to indicate the location range of the personnel target in the indoor space. The thermal demand quantity is used to indicate the degree of deviation of the personnel corresponding to the personnel location range from the preset comfortable temperature range, and the thermal demand quantity includes the adjustment direction and the deviation magnitude.

[0036] In this embodiment, the air supply influence zone refers to the area where a VAV terminal can affect the air supply of an indoor space under the current installation and operation conditions. The air supply influence zone is not limited to a regular rectangular area. It can be an irregular area determined by the location of the VAV terminal, the air supply direction, the type of air outlet, the air supply coverage, and the historical adjustment response results. It can also be a collection of areas composed of multiple indoor space grids.

[0037] In this embodiment, the historical adjustment response results are used to represent the temperature changes in the same personnel heat demand area or indoor space area after the VAV terminal performs airflow adjustment at a historical time. The historical adjustment response results include VAV terminal identifier, personnel heat demand area identifier, airflow adjustment amount, temperature result before adjustment, temperature result after adjustment, temperature change direction, and historical response intensity. The input of the historical adjustment response results is the VAV terminal execution record and the temperature results before and after adjustment, and the output is the historical response intensity, which is used for subsequent correction of the air supply influence area and control association weights.

[0038] In this embodiment, the control correspondence is used to represent the control allocation relationship between the personnel heat demand area and the candidate VAV terminal; the modified control correspondence includes the personnel heat demand area identifier, the candidate VAV terminal identifier, and the control association weight; the control association weight is used to represent the proportion of the heat demand in the corresponding personnel heat demand area allocated to the corresponding candidate VAV terminal for processing.

[0039] Figure 1 This is a schematic diagram of an implementation environment provided in an embodiment of this application; see also Figure 1 The implementation environment includes a thermal imaging sensor 101, a building equipment monitoring system host 102, multiple VAV terminals 103, an air conditioning unit DDC controller 104, and an air conditioning unit 105.

[0040] The thermal imaging sensor 101 is used to collect indoor thermal image data and send the indoor thermal image data to the building equipment monitoring system host 102. The thermal imaging sensor 101 and the building equipment monitoring system host 102 can be connected by wired communication or wireless communication, and this application embodiment does not limit this.

[0041] The building equipment monitoring system host 102 is used to receive indoor thermal image data, perform personnel target identification and thermal demand analysis on the indoor thermal image data, and generate personnel thermal demand areas; it is also used to obtain the air supply influence area corresponding to each VAV terminal 103, match the personnel thermal demand area with the air supply influence area, and when the matching result does not meet the preset matching judgment condition, correct the control association weight between the personnel thermal demand area and the candidate VAV terminal according to the historical adjustment response result.

[0042] VAV terminal 103 is used to receive the target air volume sent by the building equipment monitoring system host 102, and adjust the air supply volume of the corresponding area according to the target air volume; air conditioning unit DDC controller 104 is used to receive the regional heat demand results or unit-side control commands sent by the building equipment monitoring system host 102, and control the air conditioning unit 105 to adjust the operating status.

[0043] Figure 2 This is a flowchart of a method for controlling a VAV variable air volume system using integrated thermal imaging, provided in an embodiment of this application; see also Figure 2 This method can be executed by the host of the building equipment monitoring system, or by a server, edge computing device or other control device that is communicatively connected to the host of the building equipment monitoring system; the embodiments of this application are illustrated by taking the execution by the host of the building equipment monitoring system as an example.

[0044] Step 201: The building equipment monitoring system host acquires indoor thermal image data uploaded by thermal imaging sensors according to a preset acquisition cycle, performs personnel target identification and thermal demand analysis on the indoor thermal image data, and generates personnel thermal demand areas that include area identifiers, personnel location ranges, and thermal demand quantities.

[0045] The thermal imaging sensor collects indoor thermal image data according to a preset acquisition cycle and sends the indoor thermal image data to the building equipment monitoring system host. The preset acquisition cycle can be set according to the frequency of indoor personnel activities, the processing cycle of the building equipment monitoring system host and the response time of the VAV terminal, and is stored in the control parameter table of the building equipment monitoring system host.

[0046] After receiving indoor thermal image data, the host of the building equipment monitoring system determines the corresponding indoor space area based on the thermal imaging sensor identifier, and associates the indoor thermal image data, the thermal image acquisition time, and the indoor space area to form thermal image data to be identified; the thermal image data to be identified is used as input for personnel target identification.

[0047] In one possible implementation, the building equipment monitoring system host extracts pixels whose temperature values ​​fall within the human body temperature recognition range from the indoor thermal image data, and performs connectivity processing on adjacent pixels to obtain a connected region; the human body temperature recognition range can be determined by the system debugging phase based on the temperature measurement error of the thermal imaging sensor, the indoor ambient temperature, and the target human sample.

[0048] The building equipment monitoring system host determines personnel targets from the connected area based on the area of ​​the connected area, the aspect ratio of the bounding rectangle of the connected area, and the number of times the connected area appears in a consecutive preset number of thermal images.

[0049] Specifically, the building equipment monitoring system host first determines the area of ​​each connected region; the area of ​​the connected region can be the number of pixels contained in the connected region, or the spatial area of ​​the connected region after being mapped to the indoor spatial coordinate system; when the area of ​​the connected region is within a preset area range, it means that the size of the connected region matches the size of the thermal image of the person target; when the area of ​​the connected region is less than the lower limit of the preset area range, the connected region can be excluded as a noise hotspot; when the area of ​​the connected region is greater than the upper limit of the preset area range, the connected region can be treated as a non-single person target or a thermal area that needs further segmentation.

[0050] The building equipment monitoring system host then determines the aspect ratio of the circumscribed rectangle of the connected area. The circumscribed rectangle is the smallest rectangle that can enclose the connected area, and its aspect ratio is the ratio between the length of its longer side and the length of its shorter side. When the aspect ratio of the circumscribed rectangle is within a preset range, it indicates that the external dimensions of the connected area meet the shape determination requirements for personnel targets. When the aspect ratio of the circumscribed rectangle is not within the preset range, the connected area can be excluded as a non-personnel heat source or abnormal heat spot.

[0051] The building equipment monitoring system host also counts the occurrence frequency of the connected region in a continuous preset number of thermal images. The continuous preset number of thermal images refers to multiple thermal images continuously acquired by the thermal imaging sensor according to a preset acquisition cycle; the occurrence frequency refers to the number of times the same connected region, or a connected region whose positional overlap with the connected region reaches a preset tracking ratio threshold, is detected in the multiple thermal images; when the occurrence frequency is not less than the preset occurrence frequency threshold, it indicates that the connected region has temporal stability; when the occurrence frequency is less than the preset occurrence frequency threshold, the connected region can be excluded as short-term noise, reflected hot spots, or transient interference.

[0052] The building equipment monitoring system host identifies a connected area as a personnel target when the following conditions are met simultaneously: the area of ​​the connected area is within a preset area range; the aspect ratio of the bounding rectangle of the connected area is within a preset aspect ratio range; and the number of times the connected area appears in a preset number of consecutive thermal images is not less than a preset occurrence threshold. Therefore, when a person is temporarily blocked by a monitor, partition, or office furniture, it is not required that the connected area be detected in every frame of thermal images. As long as the number of times it appears in a preset number of consecutive thermal images reaches the preset occurrence threshold, it can be used as a personnel target for subsequent processing.

[0053] The aforementioned human body temperature recognition range, preset area range, preset aspect ratio range, preset number of frames, preset occurrence threshold, and preset tracking ratio threshold can all be determined during the system debugging phase based on the indoor space scale, thermal imaging sensor installation height, thermal image resolution, thermal imaging sensor temperature measurement error, indoor ambient temperature, and personnel target sample data, and stored in the control parameter table of the building equipment monitoring system host. The above parameters are not limited to fixed values ​​and can be set according to the application scenario.

[0054] In another possible implementation, the building equipment monitoring system host can also assist in determining personnel targets based on the ratio between the area of ​​the connected region and the area of ​​the circumscribed rectangle. Specifically, the building equipment monitoring system host determines the filling ratio between the area of ​​the connected region and the area of ​​the circumscribed rectangle. When the filling ratio is within a preset filling ratio range, it is determined that the connected region meets the compactness requirements of the personnel target. When the filling ratio is not within the preset filling ratio range, it is determined that the connected region is a dispersed heat spot or a non-personnel heat source. The filling ratio can be used in conjunction with the aspect ratio of the circumscribed rectangle, or it can be used as an alternative determination parameter for the aspect ratio of the circumscribed rectangle.

[0055] In another possible implementation, the building equipment monitoring system host can also use a pre-trained personnel target recognition model to identify personnel targets from indoor thermal image data; the input of the personnel target recognition model is indoor thermal image data, and the output is the image position of the personnel target in the thermal image; this optional method does not change the subsequent generation process of personnel location range and heat demand.

[0056] In one possible implementation, the personnel target recognition model can be a target detection model based on a convolutional neural network, such as the YOLO series model, the SSD model, or the Faster R-CNN model. The training data consists of indoor thermal image samples collected by thermal imaging sensors in the target building or similar buildings. These indoor thermal image samples include thermal images from different collection periods, different numbers of people, different postures of people, different workstation occlusion states, different VAV air supply states, and different indoor ambient temperatures. During data collection, after the thermal imaging sensors are installed, thermal images of office areas, meeting areas, or personnel activity areas can be collected according to a preset collection cycle. The locations of personnel targets in the thermal images are manually labeled, including the personnel target bounding box, personnel target category, and visible area identifier. After dividing the labeled thermal image samples into training, validation, and test sets, the training set is input into the personnel target recognition model, causing the model to output predicted personnel target bounding boxes and personnel target categories. This is achieved using a method including bounding box regression loss and class... The combined loss function of classification loss and target confidence loss iteratively updates the model parameters. Among them, bounding box regression loss is used to represent the positional deviation between the predicted bounding box and the labeled bounding box, class classification loss is used to represent the difference between the predicted class and the labeled class, and target confidence loss is used to represent the difference between the predicted target existence probability and the labeled target existence state. When the combined loss on the validation set decreases by less than the preset convergence threshold within a preset number of consecutive rounds, or when the accuracy, recall, or mean intersection-union ratio of personnel target recognition on the validation set reaches the preset index threshold, the personnel target recognition model is determined to meet the convergence condition. The personnel target recognition model that meets the convergence condition is then deployed to the host of the building equipment monitoring system or an edge computing device that is connected to the host of the building equipment monitoring system for personnel target recognition on indoor thermal image data.

[0057] After identifying the personnel target, the building equipment monitoring system host determines the image position of the personnel target in the thermal image; the image position may include the center point coordinates of the personnel target area, the bounding box coordinates, or the set of pixels covered by the personnel target area.

[0058] The building equipment monitoring system host determines the location range of personnel in the indoor space based on the mapping relationship between image location and indoor space coordinates; the mapping relationship can be obtained through on-site calibration after the thermal imaging sensor is installed.

[0059] In one possible implementation, after the thermal imaging sensor is installed, multiple calibration points are selected in the indoor space; the image coordinates of each calibration point in the thermal image and its spatial coordinates in the indoor plan are obtained; based on the image coordinates and spatial coordinates of each calibration point, a mapping relationship from image coordinates to indoor spatial coordinates is established. This mapping relationship can be a perspective transformation relationship, a lookup table relationship, or a grid correspondence relationship.

[0060] The building equipment monitoring system host also determines the heat demand based on the deviation between the body surface temperature characteristics of the target personnel and the preset comfort temperature range. The body surface temperature characteristics can be the average, median, or preset percentile value of the temperature values ​​within the target personnel area. The preset comfort temperature range can be set by the user, the building air conditioning control strategy, or the system debugging parameters, and is stored in the control parameter table of the building equipment monitoring system host.

[0061] When the body surface temperature characteristic exceeds the upper limit of the preset comfort temperature range, the building equipment monitoring system host determines that the area of ​​human thermal demand has a cooling requirement, and determines the amount of thermal demand in the direction of cooling based on the extent to which the body surface temperature characteristic exceeds the upper limit. When the body surface temperature characteristic is below the lower limit of the preset comfort temperature range, the building equipment monitoring system host determines that the area of ​​human thermal demand has a heating requirement, and determines the amount of thermal demand in the direction of heating based on the extent to which the body surface temperature characteristic is below the lower limit. When the body surface temperature characteristic is within the preset comfort temperature range, the building equipment monitoring system host determines that the area of ​​human thermal demand has no adjustment requirement or a low-level adjustment requirement.

[0062] It should be noted that the embodiments of this application do not limit the heat demand to be calculated using a formula. In practical applications, the heat demand can be obtained through grading rules, table lookup methods, or preset control curves. For ease of understanding, one calculation method is used as an example below.

[0063] In one possible implementation, for the first... For each area with individual thermal demand, the building equipment monitoring system host can determine the thermal demand based on the body surface temperature characteristics and target comfort temperature of the individual. in, Indicates the first Heat demand of an individual's heat demand area Indicates the first The body surface temperature characteristics corresponding to the thermal demand area of ​​an individual. Indicates the target comfort temperature; when A value greater than 0 indicates that the area of ​​the person's heat demand needs cooling; when When the value is less than 0, it indicates that the area of ​​the person's heat demand needs to be heated; when When the value is 0 or within the preset dead zone, it indicates that the person's heat demand area does not need adjustment or enters a low-level adjustment. The above formula is only an example. When using a preset comfort temperature range, the deviation of the body surface temperature characteristics from the preset comfort temperature range can also be taken as the heat demand.

[0064] The building equipment monitoring system host associates the location range of personnel with the heat demand and configures area identifiers to generate personnel heat demand areas. The input of the personnel heat demand area is indoor thermal image data, and the output is a data object containing area identifiers, personnel location ranges, and heat demand. This data object serves as the input for subsequent overlap matching.

[0065] Step 202: The building equipment monitoring system host obtains the terminal location, air supply direction and historical adjustment response results of each VAV terminal, determines the initial air supply influence zone based on the terminal location and air supply direction, and corrects the initial air supply influence zone based on the historical adjustment response results to obtain the air supply influence zone corresponding to each VAV terminal.

[0066] The building equipment monitoring system host obtains the terminal position of each VAV terminal in the indoor space; the terminal position can be obtained from the equipment ledger, building information model, construction drawings or on-site calibration table, or it can be entered by the operation and maintenance personnel in the building equipment monitoring system; the terminal position can be the coordinates of the center point of the VAV air outlet on the indoor floor plan, or it can be the coordinates of the air outlet boundary.

[0067] The building equipment monitoring system host obtains the air supply direction of each VAV terminal. The air supply direction can be determined based on the orientation of the air outlet, the angle of the guide vanes, the type of air outlet, or on-site commissioning records; for example, when the air outlet is a strip air outlet, the air supply direction can be determined based on the air outlet's outlet direction; when the air outlet is a swirl air outlet, the air supply influence range can be determined based on the air outlet's designed coverage area.

[0068] The building equipment monitoring system host determines the initial air supply influence zone corresponding to each VAV terminal based on the terminal location and air supply direction. In one implementation, a fan-shaped, rectangular, elliptical, or irregular area can be formed along the air supply direction starting from the VAV terminal location, and this area can be used as the initial air supply influence zone. In another implementation, the indoor plane can be divided into multiple spatial grids, and the set of spatial grids located within a preset distance along the air supply direction can be determined as the initial air supply influence zone.

[0069] Historical adjustment response results include VAV terminal identifier, personnel thermal demand area identifier, airflow adjustment amount, temperature result before adjustment, temperature result after adjustment, direction of temperature change, and historical response intensity. Historical adjustment response results are used to represent the temperature response of a VAV terminal to the same personnel thermal demand area after airflow adjustment at a historical time.

[0070] When the system is running for the first time or when there are no historical adjustment response results at a certain VAV terminal, the building equipment monitoring system host will determine the initial air supply influence zone as the air supply influence zone of the corresponding VAV terminal, and read the initial response intensity of the corresponding VAV terminal from the control parameter table. This initial response intensity is determined by the system commissioning phase based on the air outlet type, air supply direction and designed air supply coverage, and is used for the initial overlap matching and control association weight generation.

[0071] After the system is running, the building equipment monitoring system host corrects the influence weight of each spatial grid in the initial air supply influence zone based on the historical response intensity in the historical adjustment response results, thus obtaining the air supply influence zone. Specifically, when the historical response intensity of the personnel heat demand area where a certain spatial grid is located is not less than the preset historical response intensity threshold after adjustment at the corresponding VAV terminal, the building equipment monitoring system host increases the influence weight of that spatial grid at the VAV terminal; when the historical response intensity is less than the preset historical response threshold, the building equipment monitoring system host decreases the influence weight of that spatial grid at the VAV terminal.

[0072] The output of the air supply influence zone includes the VAV end identifier, a set of spatial grids, and the influence weights corresponding to each spatial grid. This air supply influence zone serves as the input for subsequent overlap matching with the personnel thermal demand area.

[0073] Step 203: The building equipment monitoring system host performs overlap matching between the personnel thermal demand area and each air supply influence area in the same indoor spatial coordinate system to generate matching results.

[0074] The building equipment monitoring system host unifies the personnel thermal demand area and each air supply influence area into the same indoor spatial coordinate system or the same grid coordinate system. If the personnel thermal demand area is represented by spatial coordinates and the air supply influence area is also represented by spatial coordinates, then the area overlap calculation can be performed directly. If both the personnel thermal demand area and the air supply influence area are represented by grid sets, then the overlap matching can be performed by counting the number of common grids.

[0075] In one possible implementation, the host of the building equipment monitoring system counts the number of overlapping grids between the spatial grid set corresponding to the thermal demand area of ​​personnel and the spatial grid set corresponding to each air supply influence area; then, based on the number of overlapping grids and the total number of spatial grids corresponding to the thermal demand area of ​​personnel, the overlap ratio is determined.

[0076] The building equipment monitoring system host will identify VAV terminals with an overlap ratio not less than a preset candidate ratio threshold, or whose overlap ratio ranking is within a preset candidate number, as candidate VAV terminals. The preset candidate ratio threshold and preset candidate number can be set according to the VAV terminal layout density, air outlet coverage, and indoor grid division accuracy, and stored in the control parameter table.

[0077] The matching results include the candidate VAV end identifier, overlap ratio, and historical response intensity. These matching results serve as input for subsequent assessments of whether preset matching criteria have been met and for adjusting the control association weights.

[0078] To facilitate understanding, the calculation of the overlap ratio is used as an example below. For the heat demand area of ​​the i-th person and the air supply influence area corresponding to the j-th VAV terminal, the building equipment monitoring system host can determine the overlap ratio between them: in, Indicates the first Individual thermal demand area With the Air supply affected area The overlap ratio between them; Indicates the area of ​​high demand for personnel Air supply impact area The overlapping area between them; Indicates the area of ​​high demand for personnel The area; The larger the value, the higher the value. The air supply influence zone of the first VAV terminal and the first The higher the degree of spatial overlap in the thermal demand areas of individuals, the higher the degree of overlap. The above formula can also be replaced by a proportional calculation method based on the number of grids.

[0079] Step 204: When the matching result does not meet the preset matching judgment condition, the building equipment monitoring system host corrects the control association weight between the personnel thermal demand area and the candidate VAV terminal according to the historical response intensity, and generates the corrected control correspondence.

[0080] The preset matching judgment condition is a combination of judgment items consisting of overlap ratio judgment items, historical response intensity judgment items, and temperature change direction judgment items; the overlap ratio judgment item is that the overlap ratio is not less than the preset overlap ratio threshold; the historical response intensity judgment item is that the historical response intensity is not less than the preset historical response intensity threshold; the temperature change direction judgment item is that the temperature change direction recorded in the historical adjustment response results is consistent with the target adjustment direction; when at least one of the above is not met, the building equipment monitoring system host determines that the matching result does not meet the preset matching judgment condition.

[0081] The target adjustment direction is determined based on the heat demand; when the heat demand represents a cooling demand, the target adjustment direction is to lower the temperature in the area where people have a heat demand; when the heat demand represents a heating demand, the target adjustment direction is to raise the temperature in the area where people have a heat demand.

[0082] When the matching result does not meet the preset matching judgment condition, it means that the candidate VAV end determined according to the current spatial overlap relationship may not be able to be an effective control object; the building equipment monitoring system host adjusts the control association weight between the personnel thermal demand area and the candidate VAV end according to the historical response intensity.

[0083] Specifically, the building equipment monitoring system host determines the initial control association weight between the personnel thermal demand area and the candidate VAV terminal based on the overlap ratio and historical response intensity. When the historical response intensity corresponding to the candidate VAV terminal is not less than the preset historical response intensity threshold, the initial control association weight corresponding to the candidate VAV terminal is increased. When the historical response intensity corresponding to the candidate VAV terminal is less than the preset historical response intensity threshold, the initial control association weight corresponding to the candidate VAV terminal is decreased. Then, the control association weights of multiple candidate VAV terminals corresponding to the same personnel thermal demand area are normalized.

[0084] The revised control correspondence includes the personnel thermal demand area identifier, the candidate VAV terminal identifier, and the normalized control association weight; this revised control correspondence serves as the input for the subsequent generation of the target air volume.

[0085] Historical response intensity can be determined using textual rules. For example, when the airflow of a candidate VAV terminal is increased, if the direction of temperature change in the area of ​​human heat demand is consistent with the target adjustment direction, and the amount of temperature change reaches the preset response temperature threshold, then the historical response intensity is determined to have reached the preset historical response intensity threshold. If the direction of temperature change is opposite to the target adjustment direction, or if the amount of temperature change does not reach the preset response temperature threshold, then the historical response intensity is determined to have not reached the preset historical response intensity threshold.

[0086] To facilitate understanding, the following example illustrates one method for calculating historical response intensity. For the i-th person's thermal demand zone and the j-th VAV terminal, the building equipment monitoring system host can determine the historical response intensity based on the temperature change before and after airflow adjustment and the airflow adjustment amount: in, Indicates the first The VAV terminal pairs with the first Historical response intensity of individual personnel's thermal demand areas; Indicates the first The heat demand area of ​​each person is in the first The temperature change before and after the airflow adjustment at the VAV terminal; representing the temperature change before and after the airflow adjustment at the VAV terminal. Air volume adjustment of each VAV terminal; This represents a preset positive number used to avoid a denominator of zero; This indicates the direction consistency parameter; when the direction of temperature change is consistent with the target adjustment direction... Set to 1; when the direction of temperature change is inconsistent with the target adjustment direction, Take a value of 0 or less than 1; this historical response intensity is used for comparison, sorting or normalization, and is not required to be used as an independent physical quantity.

[0087] After obtaining the overlap ratio and historical response intensity, the building equipment monitoring system host can determine the control association weight by comprehensively considering both factors. For ease of understanding, the following example illustrates one method for calculating control association weights: in, Indicates the first Individual heat demand areas and the first Initial control association weights between VAV endpoints; Indicates the overlap ratio; Indicates the historical response strength; and For the preset weighting coefficients, and All values ​​are greater than or equal to 0; the preset weighting coefficients can be set by the system debugging phase based on the importance of spatial overlap results and historical response results.

[0088] When normalizing multiple candidate VAV endpoints corresponding to the same person's heat demand area, the following method can be used: in, This represents the normalized control association weights; This represents the number of candidate VAV terminals corresponding to the i-th person's hot demand area; Indicates the first The sum of the initial control association weights of all candidate VAV terminals corresponding to the same personnel heat demand area; after normalization, the sum of the control association weights of multiple candidate VAV terminals corresponding to the same personnel heat demand area is 1.

[0089] It should be noted that the above formula is only an example; the control association weight can also be obtained by looking up a table, hierarchical rules or other weight determination methods. As long as the control allocation relationship between the personnel heat demand area and the candidate VAV terminal can be corrected based on the historical adjustment response results, it can be used in the embodiments of this application.

[0090] Step 205: The building equipment monitoring system host generates the target air volume of the candidate VAV terminal based on the heat demand and control association weight, and sends the target air volume to the corresponding VAV terminal to perform variable air volume adjustment.

[0091] The building equipment monitoring system host obtains the control association weight between the personnel heat demand area and the candidate VAV terminal based on the corrected control correspondence; this control association weight serves as the basis for allocating heat demand to the candidate VAV terminal.

[0092] The building equipment monitoring system host determines the airflow adjustment direction corresponding to the candidate VAV terminal based on the adjustment direction of heat demand and the control association weight; it also determines the airflow adjustment amount corresponding to the candidate VAV terminal based on the magnitude of heat demand and the control association weight. The airflow adjustment amount can be determined by looking up a table or by control rules. For example, when the heat demand is a cooling demand and the control association weight reaches the preset allocation weight threshold, the building equipment monitoring system host determines the corresponding airflow increase; when the heat demand is a low-level adjustment demand or the control association weight is lower than the preset allocation weight threshold, the building equipment monitoring system host determines the corresponding low-level airflow adjustment amount.

[0093] The building equipment monitoring system host obtains the current air volume, minimum allowable air volume, and maximum allowable air volume of the candidate VAV terminal. The current air volume can be fed back by the air volume detection component of the VAV terminal, and the minimum allowable air volume and maximum allowable air volume can be obtained from the equipment parameter table, the design air volume table, the building equipment monitoring system parameters, or the on-site commissioning results.

[0094] The building equipment monitoring system host superimposes the current air volume with the air volume adjustment amount according to the air volume adjustment direction to obtain the air volume to be limited; when the air volume to be limited is less than the minimum allowable air volume, the minimum allowable air volume is determined as the target air volume; when the air volume to be limited is greater than the maximum allowable air volume, the maximum allowable air volume is determined as the target air volume; when the air volume to be limited is between the minimum allowable air volume and the maximum allowable air volume, the air volume to be limited is determined as the target air volume; the building equipment monitoring system host sends the target air volume to the corresponding VAV terminal.

[0095] To facilitate understanding, the following explanation uses one method for calculating airflow regulation as an example. For the first... At each VAV terminal, the building equipment monitoring system host can determine the air volume adjustment based on multiple personnel thermal demand zones with which it has a control correspondence: in, Indicates the first Air volume adjustment of each VAV terminal; Indicates the air volume conversion factor. It can be determined by the system debugging parameters or air volume control parameter table; Indicates the first Individual heat demand areas and the first Control association weights between VAV endpoints; Indicates the first Heat demand of an individual's heat demand area The positive and negative directions correspond to different airflow adjustment directions; Indicates the relationship with the first The summation is performed on the thermal demand areas of personnel with corresponding control relationships at each VAV terminal.

[0096] Furthermore, the building equipment monitoring system host can determine the target air volume based on the current air volume and air volume adjustment: in, Indicates the first Target air volume for each VAV terminal; Indicates the first Current air volume at each VAV terminal; Indicates the first Minimum allowable airflow at each VAV terminal; Indicates the first The maximum allowable air volume for each VAV terminal; This indicates that the amplitude will be limited. Limited to to between.

[0097] It should be noted that the above formula is only used to illustrate one possible method for generating the target air volume. In other implementations, the air volume regulation level can be determined based on the heat demand, and then the target air volume or damper opening at the VAV terminal can be obtained by looking up a table based on the air volume regulation level.

[0098] Step 206: The building equipment monitoring system host obtains the temperature change results of the same personnel heat demand area after the variable air volume adjustment, and updates the historical adjustment response results according to the temperature change results.

[0099] After the building equipment monitoring system host sends the target air volume to the corresponding VAV terminal, the VAV terminal adjusts the opening of the air valve according to the target air volume. The VAV terminal can feed back the execution status to the building equipment monitoring system host. The execution status can include at least one of the following: received, executing, execution completed, actual air volume or air valve opening.

[0100] After the building equipment monitoring system host completes the variable air volume adjustment at the corresponding VAV terminal and after a preset response time, it obtains the adjusted temperature result for the same person's thermal demand area. The preset response time can be determined based on the execution response time of the VAV terminal, the size of the indoor space, the air supply distance, or the system debugging results, and is stored in the control parameter table of the building equipment monitoring system host.

[0101] The adjusted temperature result can be derived from indoor thermal image data re-collected by the thermal imaging sensor, or from indoor temperature sensor, air supply temperature sensor, or other temperature detection devices. In order to keep the comparison objects before and after adjustment consistent, preferably, the building equipment monitoring system host uses indoor thermal image data re-collected by the thermal imaging sensor to determine the adjusted temperature result for the same person's thermal demand area.

[0102] The building equipment monitoring system host compares the adjusted temperature result with the pre-adjustment temperature result to determine the amount and direction of temperature change. Based on the amount and direction of temperature change and the corresponding airflow adjustment of the VAV terminal, the building equipment monitoring system host determines the new historical response intensity.

[0103] The building equipment monitoring system host will associate and save the corresponding VAV terminal identifier, personnel thermal demand area identifier, air volume adjustment, temperature change, temperature change direction, and new historical response intensity, and update the historical adjustment response results; the updated historical adjustment response results will be used to correct the air supply influence area and control association weights in the next correction.

[0104] Figure 3 This is a schematic diagram illustrating a scenario where there is a mismatch between the area of ​​human thermal demand and the VAV supply air influence zone, as provided in an embodiment of this application; see also Figure 3 In an open office area, there are a first VAV terminal 301, a second VAV terminal 302, a thermal imaging sensor 303, a first person 304, a second person 305, and a partition screen 306. In the thermal image collected by the thermal imaging sensor 303, the first person 304 and the second person 305 may be classified into the same heat demand area. However, due to the influence of the partition screen 306 and the air supply direction, the first person 304 is mainly affected by the first VAV terminal 301, and the second person 305 is mainly affected by the second VAV terminal 302. If the heat demand is allocated to a certain VAV terminal only according to the thermal image area, it is easy to cause control object mismatch. The embodiment of this application can reduce the risk of mismatch by correcting the control association weight by the air supply influence area and historical adjustment response results.

[0105] Figure 4 This is a schematic diagram illustrating a process for correcting control correspondence based on historical adjustment response results, provided in an embodiment of this application; see also Figure 4 The building equipment monitoring system host first determines the initial air supply influence zone based on the location of the VAV terminal and the air supply direction; then it corrects the initial air supply influence zone based on the historical adjustment response results to obtain the air supply influence zone; then it overlaps and matches the air supply influence zone with the area of ​​human heat demand to obtain candidate VAV terminals and matching results; when the matching result does not meet the preset matching judgment conditions, the building equipment monitoring system host corrects the control association weight based on the historical response intensity; finally, it outputs the target air volume based on the heat demand and the control association weight.

[0106] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope defined in the claims.

Claims

1. A method for integrating thermal imaging to control a VAV (Variable Air Volume) system, characterized in that, include: Acquire indoor thermal image data uploaded by a thermal imaging sensor according to a preset acquisition cycle, perform personnel target identification and thermal demand analysis on the indoor thermal image data, and generate a personnel thermal demand area that includes area identification, personnel location range and thermal demand amount, wherein the thermal demand amount is a value with adjustment direction. The terminal position, air supply direction, and historical adjustment response results of each VAV terminal are obtained. The initial air supply influence zone is determined based on the terminal position and the air supply direction. The initial air supply influence zone is then corrected based on the historical adjustment response results to obtain the air supply influence zone corresponding to each VAV terminal. Within the same indoor spatial coordinate system, the thermal demand area of ​​the personnel is overlapped and matched with each air supply influence area to generate matching results. The matching results include candidate VAV terminal identifiers, overlap ratios, and historical response intensities. When the matching result does not meet the preset matching judgment condition, the control association weight between the personnel thermal demand area and the candidate VAV end is corrected according to the historical response intensity, and a corrected control correspondence is generated. The target air volume of the candidate VAV terminal is generated based on the heat demand and the control association weight, and the target air volume is sent to the corresponding VAV terminal to perform variable air volume regulation; Obtain the temperature change results for the same personnel's thermal demand area after variable air volume adjustment, and update the historical adjustment response results based on the temperature change results.

2. The method according to claim 1, characterized in that, The step of performing personnel target identification and thermal demand analysis on the indoor thermal image data to generate a personnel thermal demand area that includes area identifiers, personnel location ranges, and thermal demand quantities includes: Pixels whose temperature values ​​fall within the human body temperature recognition range are extracted from the indoor thermal image data, and adjacent pixels are connected to obtain connected regions. Based on whether the area of ​​the connected region is within a preset area range, whether the aspect ratio of the bounding rectangle of the connected region is within a preset aspect ratio range, and whether the number of times the connected region appears in a preset number of consecutive thermal images is not less than a preset number of occurrences threshold, a person target is determined from the connected region. The range of the personnel's location is determined based on the image position of the personnel target in the thermal image and the mapping relationship between the image coordinates and the indoor space coordinates; The heat demand is determined based on the deviation between the body surface temperature characteristics corresponding to the target personnel and the preset comfortable temperature range; The personnel location range is associated with the heat demand to generate the personnel heat demand area.

3. The method according to claim 2, characterized in that, The mapping relationship between the image coordinates and the indoor space coordinates is obtained through the following method: After the thermal imaging sensor is installed, select multiple calibration points in the indoor space; Obtain the image coordinates of each calibration point in the thermal image and its spatial coordinates in the indoor floor plan; Based on the image coordinates and spatial coordinates of each calibration point, establish the mapping relationship from image coordinates to indoor spatial coordinates; The mapping relationship is used to convert the image location of a person target in a thermal image into the range of the person's location in an indoor space.

4. The method according to claim 1, characterized in that, The process of acquiring the terminal position, air supply direction, and historical adjustment response results of each VAV terminal, determining the initial air supply influence zone based on the terminal position and air supply direction, and correcting the initial air supply influence zone based on the historical adjustment response results to obtain the air supply influence zone corresponding to each VAV terminal includes: Obtain the terminal location of each VAV terminal in the indoor space from equipment ledgers, building information models, construction drawings, or on-site calibration tables; Determine the air supply direction of each VAV terminal based on the air outlet orientation, guide vane angle, air outlet type, or on-site commissioning records; Starting from the terminal position, the initial air supply influence zone is determined along the air supply direction; Based on the historical response intensity in the historical adjustment response results, the influence weights of each spatial grid within the initial air supply influence zone are corrected to obtain the air supply influence zone.

5. The method according to claim 4, characterized in that, The historical adjustment response results include VAV terminal identifier, personnel thermal demand area identifier, air volume adjustment amount, temperature result before adjustment, temperature result after adjustment, temperature change direction, and historical response intensity. When the historical adjustment response result is not available, the initial air supply influence area is determined as the air supply influence area of ​​the corresponding VAV terminal, and the initial response intensity of the corresponding VAV terminal is read from the control parameter table. The initial response intensity is determined by the system commissioning stage based on the air outlet type, air supply direction and designed air supply coverage.

6. The method according to claim 1, characterized in that, Within the same indoor spatial coordinate system, the areas of human thermal demand are overlapped and matched with each air supply influence area to generate matching results, including: The areas of human thermal demand and each air supply influence zone are converted into indoor space grid sets; The number of overlapping grids between the spatial grid set corresponding to the personnel thermal demand area and the spatial grid set corresponding to each air supply influence area is counted. The overlap ratio is determined based on the number of overlapping grids and the total number of spatial grids corresponding to the personnel thermal demand area; VAV ends with an overlap ratio not less than a preset candidate ratio threshold, or whose overlap ratio is within a preset number of candidates, are identified as candidate VAV ends. The matching results are generated based on the candidate VAV end identifier, overlap ratio, and historical response intensity.

7. The method according to claim 1, characterized in that, The preset matching judgment condition is a combination of judgment items consisting of overlap ratio judgment items, historical response intensity judgment items, and temperature change direction judgment items. The overlap ratio determination item is that the overlap ratio is not less than a preset overlap ratio threshold. The historical response intensity determination item is that the historical response intensity is not less than a preset historical response intensity threshold. The temperature change direction determination item is that the temperature change direction recorded in the historical adjustment response results is consistent with the target adjustment direction; If at least one of the specified items in the matching criteria is not met, the matching result is determined to have failed to meet the preset matching criteria.

8. The method according to claim 1, characterized in that, The step of correcting the control association weights between the personnel thermal demand region and the candidate VAV terminal based on the historical response intensity, and generating the corrected control correspondence, includes: Based on the overlap ratio and the historical response intensity, the initial control association weight between the personnel thermal demand region and the candidate VAV terminal is determined; When the historical response strength corresponding to the candidate VAV end is not less than the preset historical response strength threshold, the initial control association weight corresponding to the candidate VAV end is increased. When the historical response strength corresponding to the candidate VAV end is less than the preset historical response strength threshold, the initial control association weight corresponding to the candidate VAV end is reduced. The control association weights of multiple candidate VAV terminals corresponding to the same personnel's heat demand area are normalized. The corrected control correspondence is generated based on the normalized control association weights.

9. The method according to claim 1, characterized in that, The step of generating the target air volume for candidate VAV terminals based on the heat demand and the control association weights includes: Based on the adjustment direction of the heat demand and the control association weight, determine the air volume adjustment direction corresponding to the candidate VAV terminal; Based on the magnitude of the heat demand and the control association weight, determine the air volume adjustment amount corresponding to the candidate VAV terminal; Obtain the current air volume, minimum allowable air volume, and maximum allowable air volume of the candidate VAV terminal; The current air volume is superimposed with the air volume adjustment amount according to the air volume adjustment direction to obtain the air volume to be limited; When the air volume to be limited is less than the minimum allowable air volume, the minimum allowable air volume is determined as the target air volume; When the air volume to be limited is greater than the maximum allowable air volume, the maximum allowable air volume is determined as the target air volume; When the air volume to be limited is between the minimum allowable air volume and the maximum allowable air volume, the air volume to be limited is determined as the target air volume.

10. The method according to claim 5, characterized in that, The step of acquiring the temperature change results for the same personnel heat demand area after variable air volume adjustment, and updating the historical adjustment response results based on the temperature change results, includes: After the variable air volume adjustment is completed at the corresponding VAV terminal and a preset response time is elapsed, the adjusted temperature result for the same person's thermal demand area is obtained. The adjusted temperature result is compared with the temperature result before adjustment to determine the amount and direction of temperature change. Based on the temperature change amount, the direction of temperature change, and the corresponding airflow adjustment amount at the VAV terminal, determine the new historical response intensity; The corresponding VAV terminal identifier, personnel thermal demand area identifier, air volume adjustment amount, temperature change amount, temperature change direction, and new historical response intensity are associated and saved, and the historical adjustment response results are updated.

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