Air conditioner energy-saving automatic control method and device for airport terminal

Abstract

The invention relates to the technical field of air conditioner control, and discloses an air conditioner energy-saving automatic control method and device for an airport terminal, and the method comprises the steps: determining the number of expected passengers in an air conditioner regulation and control zone according to the target information of the air conditioner regulation and control zone which is pre-divided in the airport terminal; according to the video image of the air conditioner regulation and control zone, the first number of passengers in the air conditioner regulation and control zone is determined; according to the probe information of the air conditioner regulation and control zone, the number of second on-site passengers in the air conditioner regulation and control zone is determined; and according to the expected passenger number, the first on-site passenger number and the second on-site passenger number, air conditioner control parameters of the air conditioner regulation and control subarea are determined, and air conditioners of the air conditioner regulation and control subarea are controlled according to the air conditioner control parameters. Therefore, by implementing the method, the air conditioners in the air conditioner regulation and control zones can be flexibly controlled based on the number of related passengers, the situation of energy waste can be reduced, the comfortable experience feeling of the passengers on the air conditioners can be improved, and therefore the air conditioner control accuracy of the airport terminal can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning control, and in particular to an air conditioning energy-saving automatic control method and device for an airport terminal. Background Art

[0002] As the core area for passenger gathering and distribution, the environmental comfort of the airport terminal directly affects the passenger's travel experience. As the key equipment for terminal environment control, the air conditioning system accounts for a considerable proportion of the energy consumption of the entire terminal.

[0003] The traditional operation control of the terminal air conditioning system mainly relies on fixed temperature and humidity set values. This control method often causes the air conditioning system to maintain high energy consumption when the passenger flow is low, and may not meet the comfort needs of passengers during peak passenger flow. This not only causes huge energy waste, but also reduces the passengers' air conditioning comfort experience, making it difficult to improve the control accuracy of the terminal air conditioning system. It can be seen that it is particularly important to provide a method that can improve the accuracy of terminal air conditioning control. Summary of the invention

[0004] The present invention provides an air conditioning energy-saving automatic control method and device for an airport terminal, which can flexibly control the air conditioning of air conditioning control zones based on the number of relevant passengers, thereby reducing energy waste and improving passengers' comfortable experience of air conditioning, thereby improving the accuracy of air conditioning control in the airport terminal.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an air conditioning energy-saving automatic control method for an airport terminal, the method comprising: Obtaining target information of the air-conditioning control zones pre-divided in the airport terminal, and determining the expected number of passengers in the air-conditioning control zones according to the target information; the target information includes at least one of zone type information, flight status information, flight number information, flight model information, and flight time information; Acquire a video image of the air-conditioning control zone, and determine a first number of passengers present in the air-conditioning control zone according to the video image; Determine the probe information of the air-conditioning control zone, and determine the second number of passengers present in the air-conditioning control zone according to the probe information; The air conditioning control parameters of the air conditioning control zone are determined according to the expected number of passengers, the first number of passengers present, and the second number of passengers present, and the air conditioning of the air conditioning control zone is controlled according to the air conditioning control parameters.

[0006] As an optional implementation manner, in the first aspect of the present invention, determining the first number of passengers present in the air-conditioning control zone according to the video image includes: Determine image information in the video image according to the video image; the image information includes scene information and crowd flow information; Determine, according to the image information, a plurality of target bounding boxes in the video image, and determine bounding box information corresponding to all the target bounding boxes; the bounding box information corresponding to all the target bounding boxes includes at least one of bounding box position information, bounding box size information, bounding box center point information of each target bounding box, and overlap information between all the target bounding boxes; The target number of passengers in the video image is determined according to the bounding box information corresponding to all the target bounding boxes as the first number of passengers present in the air-conditioning control zone.

[0007] As an optional implementation manner, in the first aspect of the present invention, determining the number of target passengers in the video image according to the bounding box information corresponding to all the target bounding boxes includes: Determine, according to the bounding box information corresponding to all the target bounding boxes, a basic portrait corresponding to each of the target bounding boxes in the video image, and obtain first feature information of all the basic portraits; the first feature information includes first appearance feature information and first motion feature information; Acquire the historical video frame portrait corresponding to each of the target bounding boxes, and acquire the second feature information of all the historical video frame portraits; the second feature information includes second appearance feature information and second motion feature information; According to the first feature information and the corresponding second feature information corresponding to all the target bounding boxes, the target portrait corresponding to each target bounding box is determined, and according to the target portraits corresponding to all the target bounding boxes, the total number of people corresponding to all the target bounding boxes is determined as the number of target passengers in the video image.

[0008] As an optional implementation, in the first aspect of the present invention, the determining of the probe information of the air conditioning control zone includes: By using a plurality of probes preset in the air-conditioning control zone, a detection operation is performed on a target device of each passenger present in the air-conditioning control zone to obtain device feedback information of the target device of each passenger present; the target device includes a wireless device and / or a Bluetooth device, and the device feedback information includes at least one of MAC address feedback information, wireless device feedback information and Bluetooth device feedback information; According to the device feedback information of the target device of each of the present passengers, the device signal information of each of the present passengers is determined as the probe information of the air-conditioning control zone; the device signal information includes at least one of device signal amplitude information, device signal phase information and device signal frequency information.

[0009] As an optional implementation manner, in the first aspect of the present invention, determining the second number of passengers present in the air-conditioning control zone according to the probe information includes: Determine the device signal strength parameter of each of the passengers present according to the device signal information of each of the passengers present; the device signal strength parameter includes the current device signal strength parameter and the standard signal strength parameter under the preset detection distance; For each of the present passengers, determine the environmental parameters of the location of the present passenger, and determine the environmental attenuation factor parameters of the present passenger according to the environmental parameters of the location of the present passenger; the environmental parameters include at least one of environmental temperature parameters, temperature and humidity parameters, and environmental object parameters; For each of the present passengers, determine the device distance parameter of the present passenger according to the environmental attenuation factor parameter of the present passenger and the corresponding device signal strength parameter, and determine the device location parameter of the present passenger according to the device distance parameter of the present passenger; The second number of passengers present in the air-conditioning control zone is determined according to the device location parameters of all the passengers present.

[0010] As an optional implementation, in the first aspect of the present invention, the device distance parameter of the present passenger is: d=10 （（RSSI-A） / （10*n）） ; RSSI is the current device signal strength parameter of the passenger present, A is the standard signal strength parameter of the passenger present at the preset detection distance, and n is the environmental attenuation factor parameter of the passenger present.

[0011] As an optional implementation manner, in the first aspect of the present invention, determining the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present includes: Acquire the zone environmental parameters of the air conditioning control zone; the zone environmental parameters include at least one of a zone air quality parameter, a zone temperature parameter, a zone humidity parameter, a zone wind direction parameter, and a zone air volume parameter; Determining the expected number of passengers present in the air-conditioning control zone according to the expected number of passengers, the first number of passengers present and the second number of passengers present, and by using a pre-trained target model; The air conditioning control parameters of the air conditioning control zone are determined according to the zone environmental parameters and the expected number of passengers on site.

[0012] The second aspect of the present invention discloses an air conditioning energy-saving automatic control device for an airport terminal, the device comprising: An acquisition module, used to acquire target information of air conditioning control zones pre-divided in the airport terminal; A first determination module is used to determine the expected number of passengers in the air-conditioning control zone according to the target information; the target information includes at least one of zone type information, flight status information, flight number information, flight model information and flight time information; The acquisition module is further used to acquire the video image of the air conditioning control zone; A second determination module is used to determine the first number of passengers present in the air-conditioning control zone according to the video image; A third determination module is used to determine the probe information of the air-conditioning control zone, and determine the second number of passengers present in the air-conditioning control zone according to the probe information; The first determination module is further used to determine the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present; A control module is used to control the air conditioner of the air conditioner control zone according to the air conditioner control parameters.

[0013] As an optional implementation, in the second aspect of the present invention, the second determination module determines the first number of passengers present in the air-conditioning control zone according to the video image in a manner specifically including: Determine image information in the video image according to the video image; the image information includes scene information and crowd flow information; Determine, according to the image information, a plurality of target bounding boxes in the video image, and determine bounding box information corresponding to all the target bounding boxes; the bounding box information corresponding to all the target bounding boxes includes at least one of bounding box position information, bounding box size information, bounding box center point information of each target bounding box, and overlap information between all the target bounding boxes; The target number of passengers in the video image is determined according to the bounding box information corresponding to all the target bounding boxes as the first number of passengers present in the air-conditioning control zone.

[0014] As an optional implementation, in the second aspect of the present invention, the second determination module determines the number of target passengers in the video image according to the bounding box information corresponding to all the target bounding boxes in a manner that specifically includes: Determine, according to the bounding box information corresponding to all the target bounding boxes, a basic portrait corresponding to each of the target bounding boxes in the video image, and obtain first feature information of all the basic portraits; the first feature information includes first appearance feature information and first motion feature information; Acquire the historical video frame portrait corresponding to each of the target bounding boxes, and acquire the second feature information of all the historical video frame portraits; the second feature information includes second appearance feature information and second motion feature information; According to the first feature information and the corresponding second feature information corresponding to all the target bounding boxes, the target portrait corresponding to each target bounding box is determined, and according to the target portraits corresponding to all the target bounding boxes, the total number of people corresponding to all the target bounding boxes is determined as the number of target passengers in the video image.

[0015] As an optional implementation, in the second aspect of the present invention, the manner in which the third determination module determines the probe information of the air conditioning control zone specifically includes: By using a plurality of probes preset in the air-conditioning control zone, a detection operation is performed on a target device of each passenger present in the air-conditioning control zone to obtain device feedback information of the target device of each passenger present; the target device includes a wireless device and / or a Bluetooth device, and the device feedback information includes at least one of MAC address feedback information, wireless device feedback information and Bluetooth device feedback information; According to the device feedback information of the target device of each of the present passengers, the device signal information of each of the present passengers is determined as the probe information of the air-conditioning control zone; the device signal information includes at least one of device signal amplitude information, device signal phase information and device signal frequency information.

[0016] As an optional implementation, in the second aspect of the present invention, the third determination module determines the second number of passengers present in the air-conditioning control zone according to the probe information in a manner specifically including: Determine the device signal strength parameter of each of the passengers present according to the device signal information of each of the passengers present; the device signal strength parameter includes the current device signal strength parameter and the standard signal strength parameter under the preset detection distance; For each of the present passengers, determine the environmental parameters of the location of the present passenger, and determine the environmental attenuation factor parameters of the present passenger according to the environmental parameters of the location of the present passenger; the environmental parameters include at least one of environmental temperature parameters, temperature and humidity parameters, and environmental object parameters; For each of the present passengers, determine the device distance parameter of the present passenger according to the environmental attenuation factor parameter of the present passenger and the corresponding device signal strength parameter, and determine the device location parameter of the present passenger according to the device distance parameter of the present passenger; The second number of passengers present in the air-conditioning control zone is determined according to the device location parameters of all the passengers present.

[0017] As an optional implementation, in the second aspect of the present invention, the device distance parameter of the present passenger is: d=10 （（RSSI-A） / （10*n）） ; RSSI is the current device signal strength parameter of the passenger present, A is the standard signal strength parameter of the passenger present at the preset detection distance, and n is the environmental attenuation factor parameter of the passenger present.

[0018] As an optional implementation, in the second aspect of the present invention, the first determination module determines the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present, specifically including: Acquire the zone environmental parameters of the air conditioning control zone; the zone environmental parameters include at least one of a zone air quality parameter, a zone temperature parameter, a zone humidity parameter, a zone wind direction parameter, and a zone air volume parameter; Determining the expected number of passengers present in the air-conditioning control zone according to the expected number of passengers, the first number of passengers present and the second number of passengers present, and by using a pre-trained target model; The air conditioning control parameters of the air conditioning control zone are determined according to the zone environmental parameters and the expected number of passengers on site.

[0019] The third aspect of the present invention discloses another air conditioning energy-saving automatic control device for an airport terminal, the device comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the air conditioning energy-saving automatic control method for an airport terminal disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the air conditioning energy-saving automatic control method for the airport terminal disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In an embodiment of the present invention, the expected number of passengers in the air-conditioning control zone is determined according to the target information of the air-conditioning control zone pre-divided in the airport terminal; the first number of passengers present in the air-conditioning control zone is determined according to the video image of the air-conditioning control zone; the second number of passengers present in the air-conditioning control zone is determined according to the probe information of the air-conditioning control zone; the air-conditioning control parameters of the air-conditioning control zone are determined according to the expected number of passengers, the first number of passengers present and the second number of passengers present, and the air-conditioning of the air-conditioning control zone is controlled according to the air-conditioning control parameters. It can be seen that the implementation of the present invention can flexibly control the air-conditioning of the air-conditioning control zone based on the relevant number of passengers, can reduce the occurrence of energy waste, and improve the passengers' comfortable experience of the air-conditioning, thereby improving the accuracy of the air-conditioning control of the airport terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flow chart of an air conditioning energy-saving automatic control method for an airport terminal disclosed in an embodiment of the present invention; Figure 2 It is a flow chart of another air conditioning energy-saving automatic control method for an airport terminal disclosed in an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an air conditioning energy-saving automatic control device for an airport terminal disclosed in an embodiment of the present invention; Figure 4 It is a structural schematic diagram of another air conditioning energy-saving automatic control device for an airport terminal disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0025] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0026] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0027] The present invention discloses an air conditioning energy-saving automatic control method and device for an airport terminal. The air conditioning of air conditioning control zones can be flexibly controlled based on the number of relevant passengers, which can reduce the occurrence of energy waste and improve the passengers' comfortable experience of air conditioning, thereby improving the accuracy of air conditioning control for the airport terminal.

[0028] Embodiment 1 See also Figure 1 , Figure 1 The figure is a flowchart of an air conditioning energy-saving automatic control method for an airport terminal disclosed in an embodiment of the present invention. Optionally, the method can be implemented by an air conditioning control device, which can be integrated in the air conditioning of the airport terminal, or can be a local server or cloud server for processing the air conditioning control process of the airport terminal, etc., which is not limited by the embodiment of the present invention. Figure 1 As shown, the air conditioning energy saving automatic control method of the airport terminal may include the following operations: 101. Obtain target information of air-conditioning control zones pre-divided in the airport terminal, and determine the expected number of passengers in the air-conditioning control zones based on the target information.

[0029] In an embodiment of the present invention, optionally, the target information includes at least one of partition type information (such as the air-conditioning control partition is a check-in (ticketing) hall, a domestic security inspection hall, a domestic commercial channel, a domestic departure area, a domestic arrival area, a domestic mixed flow area, a domestic baggage claim hall, an international security inspection area, an international joint inspection area, an international departure area, an international arrival area, etc.), flight status information (such as boarding gate changes, short flight delays, large-scale flight delays, early arrival of flights, etc.), flight passenger information, flight aircraft model information, and flight time information.

[0030] For example, the expected number of passengers in an air-conditioned zone can be determined as follows: It is calculated based on the expected number of passengers in each air-conditioning control zone along the passenger flow path at each time period. The specific conversion formula is as follows: Z=∑(Yi*Xi%)——i=1,2…; Among them, Z is the converted number of passengers per hour in a certain air-conditioning control zone during a certain period of time (i.e. the expected number of passengers), Yi (i=1, 2…n, flight ID) is the number of passengers on each flight (dynamic data), and Xi% (i=1, 2…n) is the conversion ratio of the number of passengers per hour in the air-conditioning control zone for each flight during its current flight cycle.

[0031] 102. Obtain a video image of the air conditioning control zone, and determine the first number of passengers present in the air conditioning control zone based on the video image.

[0032] In the embodiment of the present invention, the surveillance camera of the air conditioning control zone can be used to connect the video stream to the intelligent analysis box or algorithm analysis server to realize the regional population counting. Among them, the technology takes the head and shoulders as a whole unit, detects the head and shoulders of the human body in the video screen, and counts the number of heads and shoulders in the fixed ROI line area under the video screen: 1) The camera follows the RTSP streaming protocol and can be connected to an intelligent analysis box or algorithm analysis server with a built-in crowd counting video analysis algorithm to achieve regional crowd counting. The crowd density threshold can be set in the control rules. Once the threshold is reached, a crowd density alarm with a snapshot will be generated. Optional alarm parameters include: overcrowding threshold (alarm when the number of people in the area exceeds the threshold), delayed alarm (how long to delay the alarm after the first alarm. The first time refers to the first time of the day, or the next high threshold after the low threshold), interval alarm (not the first alarm, how long it takes to generate an alarm record); 2) The results of the population statistics analysis can be reported to a third-party business platform for data display through the algorithm calling the wsAPI protocol or the WebAPI protocol.

[0033] 103. Determine the probe information of the air conditioning control zone, and determine the second number of passengers present in the air conditioning control zone based on the probe information.

[0034] In an embodiment of the present invention, a detection data packet carrying the address and port of the node can be broadcast to the outside world at regular intervals through the WIFI module, Bluetooth broadcast module, etc. in the air-conditioning control partition. Specifically, after detecting the mobile device of the passenger present, the data packet can return a response packet of the unique MAC address of the mobile device of the passenger present, the WIFI and Bluetooth signal strength data of the mobile device of the passenger present, and upload the response packet to the probe control system, wherein the signal strength data includes signal amplitude and phase data. The probe control system can realize the map positioning of the passengers present by using the signal amplitude and phase data obtained based on multiple probes. In addition, combined with the map positioning of the passengers present and the detection time, the real-time passenger flow in the area can be counted. As long as the WIFI and Bluetooth modules are turned on, regardless of whether it has successfully accessed a certain AP, the terminal will intermittently and in plain text bursts broadcast the detection request frame, that is, it contains information such as MAC address and received signal strength.

[0035] 104. Determine air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present, and control the air conditioning of the air conditioning control zone according to the air conditioning control parameters.

[0036] In an embodiment of the present invention, optionally, the air conditioning control parameter includes at least one of an air conditioning gear control parameter, an air conditioning temperature control parameter, an air conditioning humidity control parameter, an air conditioning wind direction control parameter, an air conditioning time control parameter and a mode control parameter.

[0037] It can be seen that the implementation of the embodiment of the present invention can flexibly control the air conditioning of the air conditioning control zone based on the relevant number of passengers, which can reduce the occurrence of energy waste and improve the passengers' comfortable experience of air conditioning, thereby improving the accuracy of air conditioning control of the airport terminal.

[0038] In an optional embodiment, determining the first number of passengers present in the air-conditioning control zone according to the video image in the above step 102 includes: According to the video image, determining image information in the video image; Determine multiple target bounding boxes in the video image based on the image information, and determine bounding box information corresponding to all target bounding boxes; According to the bounding box information corresponding to all the target bounding boxes, the number of target passengers in the video image is determined as the first number of passengers present in the air-conditioning control zone.

[0039] In this optional embodiment, the image information includes scene information and crowd flow information. Optionally, the bounding box information corresponding to all target bounding boxes includes at least one of the bounding box position information, bounding box size information, bounding box center point information of each target bounding box, and overlap information between all target bounding boxes.

[0040] Furthermore, the YOLOv5 algorithm can be used for target detection (before target detection, the Mosaic data enhancement method can be used to enhance the video image). The YOLO algorithm uses a separate CNN model to achieve end-to-end target detection. First, the input image is normalized to a fixed size, then sent to the CNN network, and finally the network prediction result is processed to obtain the detected target, thereby obtaining multiple target bounding boxes in the video image.

[0041] It should be noted that each time training is performed, the optimal anchor box value in different training sets is adaptively calculated. In the YOLOv5 algorithm, for different data sets, there will be anchor boxes with initial length and width. During network training, the network outputs a predicted box based on the initial anchor box, and then compares it with the real box, calculates the difference between the two, and then reversely updates and iterates the network parameters. Finally, the algorithm will calculate the anchor box size that best suits the current data set, thereby ensuring the best training quality. In addition, CIOU_Loss can be used to calculate the overlapping area between the detection box and the target box. The loss function of this target detection task is generally composed of two parts: classification loss function and regression loss function. Compared with other loss functions, CIOU_Loss also takes into account three important geometric factors that should be considered in the regression function: overlapping area, center point distance, and aspect ratio: Among them, the loss function CIOU_Loss calculation formula is: ; Among them, IOU is the ratio of the intersection and union of the detection box and the target box; Distance_C is the diagonal distance of the minimum circumscribed rectangle; Distance_2 is the Euclidean distance between the center point of the detection box and the center point of the real box; v is a parameter to measure the consistency of the aspect ratio, which can also be defined as: ; Among them, w gt With h gt is the width and height of the real frame; w p With h p is the width and height of the detection box.

[0042] It can be seen that this optional embodiment can comprehensively consider the bounding box position information, size information, center point information and overlapping information of each target bounding box when determining the target number of passengers, thereby ensuring the accuracy and reliability of the number of passengers on site, and helping to reduce problems such as duplicate counting and omissions; at the same time, it is suitable for various scenarios that require real-time headcount counting, such as public transportation, commercial places, etc., which helps to improve the service quality and operational efficiency of public places.

[0043] In another optional embodiment, the above step of determining the number of target passengers in the video image according to the bounding box information corresponding to all target bounding boxes includes: Determine the basic portrait corresponding to each target bounding box in the video image according to the bounding box information corresponding to all target bounding boxes, and obtain the first feature information of all the basic portraits; Obtain the historical video frame portrait corresponding to each target bounding box, and obtain the second feature information of all historical video frame portraits; According to the first feature information and the corresponding second feature information corresponding to all target bounding boxes, the target portrait corresponding to each target bounding box is determined, and according to the target portraits corresponding to all target bounding boxes, the total number of people corresponding to all target bounding boxes is determined as the number of target passengers in the video image.

[0044] In this optional embodiment, the first feature information includes first appearance feature information and first motion feature information; the second feature information includes second appearance feature information and second motion feature information.

[0045] It should be noted that, considering that some head detection algorithms may misjudge the head movement trajectory, this algorithm corrects the number of people corresponding to the movement trajectory, establishes a correction model of the movement trajectory and the number of people, and uses the movement trajectory number correction model to compensate for the number of people errors caused by the detection algorithm's misjudgment and omission, which can improve the accuracy of head counting. The specific process is as follows: 1) People counting, which is used to detect the trajectory of the same head in the image stream to be detected and the first number of people corresponding to it according to a predetermined detection algorithm, and obtain the first number of heads in the image stream to be detected (the number of basic portraits corresponding to all target bounding boxes).

[0046] 2) Number of people data correction: a motion trajectory number correction model is used to use the pre-established correspondence between motion trajectories and number of people (the Hungarian algorithm and deepsort algorithm can be used for association). First, the first number of people corresponding to the trajectory in the image stream to be detected is corrected to obtain the second number of people corresponding to the trajectory. Then, based on the second number of people corresponding to the trajectory, the second number in the image stream to be detected (the number of target portraits corresponding to all target bounding boxes) is statistically obtained.

[0047] It can be seen that this optional embodiment can more accurately identify and track the passengers present in the video through the bounding box information of the target bounding box, the first feature information of the basic portrait and the second feature information of the historical video frame portrait, thereby significantly improving the accuracy of the head counting, especially for the possible misjudgment of the movement trajectory of the head, effectively compensating for the misjudgment and omission that may be caused by the detection algorithm, and further improving the accuracy of the head counting.

[0048] In yet another optional embodiment, the step 103 of determining the probe information of the air conditioning control zone includes: Through multiple probes preset in the air conditioning control zone, the target device of each passenger present in the air conditioning control zone is detected to obtain device feedback information of the target device of each passenger present; According to the device feedback information of the target device of each passenger present, the device signal information of each passenger present is determined as the probe information of the air-conditioning control zone.

[0049] In this optional embodiment, the target device may include a wireless device and / or a Bluetooth device. Further, the device feedback information may include at least one of MAC address feedback information, wireless device feedback information, and Bluetooth device feedback information, and the device signal information may include at least one of device signal amplitude information, device signal phase information, and device signal frequency information.

[0050] Among them, the air-conditioning control zone can adopt a probe control system, which includes multiple probes (the probes are equipped with WIFI modules and Bluetooth modules), an AC manager, an analysis server, etc. Each probe can send the generated table items directly to the AC manager, and the AC manager can send the probe data to the analysis server. Then the analysis server performs positioning calculation and analysis on the passengers on site according to the probe data reported by the AC manager.

[0051] It can be seen that this optional embodiment can detect the target device (such as a wireless device and / or a Bluetooth device) of each present passenger through multiple probes preset in the air-conditioning control zone, and obtain the probe information of the air-conditioning control zone. In this way, the real-time, completeness and accuracy of the probe data can be improved, so that the air-conditioning control parameters of each zone can be adjusted more intelligently to meet the comfort needs of different passengers.

[0052] In yet another optional embodiment, determining the second number of passengers present in the air-conditioning control zone according to the probe information in the above step 103 includes: Determine the device signal strength parameter of each passenger present according to the device signal information of each passenger present; For each passenger present, determine the environmental parameters of the passenger's location, and determine the environmental attenuation factor parameters of the passenger present based on the environmental parameters of the passenger's location; For each passenger present, determine the passenger's device distance parameter based on the passenger's environmental attenuation factor parameter and the corresponding device signal strength parameter, and determine the passenger's device location parameter based on the passenger's device distance parameter; The second number of passengers present in the air-conditioning control zone is determined based on the equipment location parameters of all passengers present.

[0053] In this optional embodiment, the device signal strength parameter includes a current device signal strength parameter and a standard signal strength parameter at a preset detection distance. Optionally, the environmental parameter includes at least one of an environmental temperature parameter, a temperature and humidity parameter, and an environmental object parameter.

[0054] Further, as an optional implementation, the device distance parameter of the present passenger is: d=10 （（RSSI-A） / （10*n）） ; RSSI is the current device signal strength parameter of the passenger present, A is the standard signal strength parameter of the passenger present at the preset detection distance, and n is the environmental attenuation factor parameter of the passenger present.

[0055] It can be seen that this optional embodiment can accurately calculate the actual distance between each present passenger and the probe (i.e., the device distance parameter) and further determine its position (i.e., the device location parameter) through the device signal strength parameters of each present passenger and the environmental parameters of the location, thereby improving the comprehensiveness and accuracy of the analysis of signal propagation under different environmental conditions, thereby improving the reliability and accuracy of the positioning of the present passengers, thereby improving the accuracy of counting the number of passengers present.

[0056] Embodiment 2 See also Figure 2 , Figure 2 1 is a flow chart of another method for energy-saving automatic control of air conditioning in an airport terminal disclosed in an embodiment of the present invention. Optionally, the method can be implemented by an air conditioning control device, which can be integrated in the air conditioning of the airport terminal, or can be a local server or cloud server for processing the air conditioning control process of the airport terminal, etc., which is not limited by the embodiment of the present invention. Figure 2 As shown, the air conditioning energy saving automatic control method of the airport terminal may include the following operations: 201. Obtain target information of air-conditioning control zones pre-divided in the airport terminal, and determine the expected number of passengers in the air-conditioning control zones based on the target information.

[0057] 202. Obtain a video image of the air-conditioning control zone, and determine the first number of passengers present in the air-conditioning control zone according to the video image.

[0058] 203. Determine the probe information of the air conditioning control zone, and determine the second number of passengers present in the air conditioning control zone according to the probe information.

[0059] 204. Obtain zone environmental parameters of the air conditioning control zone.

[0060] In an embodiment of the present invention, optionally, the zone environment parameter includes at least one of a zone air quality parameter, a zone temperature parameter, a zone humidity parameter, a zone wind direction parameter, and a zone air volume parameter.

[0061] 205. According to the expected number of passengers, the first number of passengers present, and the second number of passengers present, and through a pre-trained target model, the expected number of passengers present in the air-conditioning control zone is determined.

[0062] In the embodiment of the present invention, it should be noted that in order to further improve the prediction accuracy and generalization ability of the model, the Stacking Ensemble Technique can be used. This technology trains a meta-learner by taking the prediction results of the three models TSDM, VCFM, and WPVFM as new input features. This process constructs a multi-layer model, the first layer is composed of TSDM, VCFM, and WPVFM, and its prediction results are used as the input of the second layer model. The second layer model then makes predictions based on these inputs to obtain the final prediction results. This method can make full use of the prediction information of different models, combine the advantages of each single model, enhance the robustness of the prediction results, and reduce the risk of overfitting by dispersing the source of errors; the second layer model can be a machine learning model such as decision tree CLS. This fusion strategy enables the overall prediction system to achieve a more superior and stable prediction effect, and the random forest algorithm is used to predict the expected number of passengers; each tree randomly selects features and samples from the original training set during the training process, and the final prediction result is determined by the average of the prediction results of all trees. The specific implementation of the algorithm includes the following steps: Step 1: Collect and organize relevant data, including the expected number of passengers, video analysis results, wireless probe data, etc., divide the data set into training set and test set at an 8:2 ratio, and construct the feature matrix X and target variable Y (the expected current number of passengers); Step 2: Initialize the random forest model and set hyperparameters such as the number of trees N and the maximum depth of each tree; Step 3: Use the training set to train the random forest, randomly select samples and features for each tree, and divide the samples by selecting features to build a decision tree; Step 4: Make predictions for the samples in the test set and calculate the average prediction value of all trees: ; Among them, T k (X) represents the prediction result of the kth tree; Step 5: Evaluate model performance using mean squared error (MSE): ; Where n represents the total number of samples in the test set. represents the actual number of passengers in the i-th sample, Represents the predicted value of the random forest model for the i-th sample.

[0063] The decision tree is composed of nodes and edges, where the root node represents the entire data set, the internal node represents the judgment condition of the feature, and the leaf node represents the final decision result or classification label. The specific implementation of the algorithm includes the following steps: Step 1: Select the optimal features for partitioning based on the information entropy of the uncertainty of the measurement data, so that the subsets after partitioning are as pure as possible; Step 2: Divide the dataset into multiple subsets using the selected features; Step 3: Recursively perform steps 1 and 2 for each subset until all samples belong to the same category or no features are available; The calculation formula of information entropy is: ; Among them, P i is the probability of class i, and C is the total number of classes.

[0064] Furthermore, the model can be continuously corrected through incremental learning. In this way, incremental (online) learning is performed using new data, and the weights of new and old data are reasonably allocated, so that the model can better adapt to new data while retaining the ability to recognize old data as much as possible. The specific implementation steps are as follows: 1) Obtain new data from the last three months and construct a data set with old historical data in a ratio of 7:3; 2) Divide the dataset into training set and test set at a ratio of 8:2; 3) Use the training set and the mini-batch gradient descent method (Mini-batch SGD) to update the model parameters according to the loss value of the training set; 4) After updating the model, use the test set to evaluate the model performance, and adjust the hyperparameters such as learning rate and optimization algorithm according to the evaluation results to further improve the performance of the model. The theoretical formula of the mini-batch gradient descent method can be expressed as: theta t+1 =θ t −α⋅g b t ; Among them, θ t represents the model parameters at the tth iteration, θ t+1 represents the updated model parameters, α represents the learning rate, and controls the step size of parameter update. bt Represents the gradient calculated based on the mini-batch data b at the tth iteration.

[0065] Specifically, the gradient g b t The calculation formula is: ; Where: b is the size of the mini-batch data, that is, the number of samples selected in each iteration, h θ (x j ) represents the model for the jth sample x j The predicted output, y j represents the true label of the jth sample, h θ′ (x j ) indicates that the model is at point x j The derivative (or gradient) at , that is, the partial derivative of the loss function with respect to the model parameters.

[0066] Incremental learning can update model parameters through gradient descent method. Let the original model parameters be θ and the new data sample be (x i ,y i ), the update process is: ; Among them, η is the learning rate, and L is the loss function of the video analysis and wireless probe model.

[0067] 206. Determine the air conditioning control parameters of the air conditioning control zone according to the zone environmental parameters and the expected number of passengers on site, and control the air conditioning of the air conditioning control zone according to the air conditioning control parameters.

[0068] In the embodiment of the present invention, for other descriptions of step 201 to step 203, please refer to the detailed description of step 101 to step 103 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0069] It can be seen that the implementation of the embodiment of the present invention can determine the expected number of passengers present in the air-conditioning control zone by integrating multiple data sources (including the expected number of passengers, video image analysis, wireless probe data, etc.), thereby significantly improving the accuracy and reliability of passenger headcount statistics; in addition, by real-time monitoring and analysis of zone environmental parameters (such as air quality, temperature, humidity, wind direction, air volume, etc.), the environmental conditions within the air-conditioning control zone can be accurately grasped, which provides a scientific basis for subsequent air-conditioning control and ensures that the adjustment of the air-conditioning system can accurately respond to environmental changes and meet the comfort needs of passengers.

[0070] Embodiment 3 See also Figure 3 , Figure 3 Schematic diagram of the structure of an air conditioning energy-saving automatic control device for an airport terminal disclosed in an embodiment of the present invention. Figure 3As shown, the air conditioning energy-saving automatic control device of the airport terminal may include: An acquisition module 301 is used to acquire target information of air conditioning control zones pre-divided in an airport terminal; The first determination module 302 is used to determine the expected number of passengers in the air-conditioning control zone according to the target information; The acquisition module 301 is also used to acquire the video image of the air conditioning control zone; The second determination module 303 is used to determine the number of first passengers present in the air-conditioning control zone according to the video image; The third determination module 304 is used to determine the probe information of the air-conditioning control zone, and determine the second number of passengers present in the air-conditioning control zone according to the probe information; The first determination module 302 is further used to determine the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present; The control module 305 is used to control the air conditioner in the air conditioning control zone according to the air conditioning control parameters.

[0071] In an embodiment of the present invention, the target information includes at least one of partition type information, flight status information, flight passenger number information, flight aircraft model information, and flight time information.

[0072] It can be seen that implementation Figure 3 The described air conditioning energy-saving automatic control device for the airport terminal can flexibly control the air conditioning of the air conditioning control zone based on the relevant number of passengers, which can reduce the occurrence of energy waste and improve the passengers' comfortable experience of the air conditioning, thereby improving the accuracy of the air conditioning control of the airport terminal.

[0073] In an optional embodiment, the second determination module 303 determines the first number of passengers present in the air-conditioning control zone according to the video image in a manner specifically including: According to the video image, determining image information in the video image; Determine multiple target bounding boxes in the video image based on the image information, and determine bounding box information corresponding to all target bounding boxes; According to the bounding box information corresponding to all the target bounding boxes, the number of target passengers in the video image is determined as the first number of passengers present in the air-conditioning control zone.

[0074] In this optional embodiment, the image information includes scene information and crowd flow information; the bounding box information corresponding to all target bounding boxes includes at least one of bounding box position information, bounding box size information, bounding box center point information of each target bounding box, and overlap information between all target bounding boxes.

[0075] It can be seen that implementation Figure 3 The described air conditioning energy-saving automatic control device for the airport terminal can comprehensively consider the bounding box position information, size information, center point information and overlapping information of each target bounding box when determining the target number of passengers, thereby ensuring the accuracy and reliability of the number of passengers on site and helping to reduce problems such as duplicate counting and missed counting; at the same time, it is suitable for various scenarios that require real-time number counting, such as public transportation, commercial places, etc., and helps to improve the service quality and operational efficiency of public places.

[0076] In another optional embodiment, the second determination module 303 determines the number of target passengers in the video image according to the bounding box information corresponding to all target bounding boxes in a manner that specifically includes: Determine the basic portrait corresponding to each target bounding box in the video image according to the bounding box information corresponding to all target bounding boxes, and obtain the first feature information of all the basic portraits; Obtain the historical video frame portrait corresponding to each target bounding box, and obtain the second feature information of all historical video frame portraits; According to the first feature information and the corresponding second feature information corresponding to all target bounding boxes, the target portrait corresponding to each target bounding box is determined, and according to the target portraits corresponding to all target bounding boxes, the total number of people corresponding to all target bounding boxes is determined as the number of target passengers in the video image.

[0077] In this optional embodiment, the first feature information includes first appearance feature information and first motion feature information; the second feature information includes second appearance feature information and second motion feature information.

[0078] It can be seen that implementation Figure 3 The described air conditioning energy-saving automatic control device for the airport terminal can more accurately identify and track the passengers present in the video through the bounding box information of the target bounding box, the first feature information of the basic portrait and the second feature information of the historical video frame portrait, thereby significantly improving the accuracy of head counting, especially for possible misjudgments of the movement trajectory of the head, effectively compensating for the misjudgments and missed judgments that may be caused by the detection algorithm, and further improving the accuracy of head counting.

[0079] In yet another optional embodiment, the manner in which the third determining module 304 determines the probe information of the air conditioning control zone specifically includes: Through multiple probes preset in the air conditioning control zone, the target device of each passenger present in the air conditioning control zone is detected to obtain device feedback information of the target device of each passenger present; According to the device feedback information of the target device of each passenger present, the device signal information of each passenger present is determined as the probe information of the air-conditioning control zone.

[0080] In this optional embodiment, the target device includes a wireless device and / or a Bluetooth device, the device feedback information includes at least one of MAC address feedback information, wireless device feedback information, and Bluetooth device feedback information; the device signal information includes at least one of device signal amplitude information, device signal phase information, and device signal frequency information.

[0081] It can be seen that implementation Figure 3 The described air conditioning energy-saving automatic control device of the airport terminal can detect the target device (such as wireless device and / or Bluetooth device) of each passenger present through multiple probes preset in the air conditioning control zone, and obtain the probe information of the air conditioning control zone. In this way, the real-time, completeness and accuracy of the probe data can be improved, so that the air conditioning control parameters of each zone can be adjusted more intelligently to meet the comfort needs of different passengers.

[0082] In yet another optional embodiment, the third determining module 304 determines the second number of passengers present in the air-conditioning control zone according to the probe information in a manner that specifically includes: Determine the device signal strength parameter of each passenger present according to the device signal information of each passenger present; For each passenger present, determine the environmental parameters of the passenger's location, and determine the environmental attenuation factor parameters of the passenger present based on the environmental parameters of the passenger's location; For each passenger present, determine the passenger's device distance parameter based on the passenger's environmental attenuation factor parameter and the corresponding device signal strength parameter, and determine the passenger's device location parameter based on the passenger's device distance parameter; The second number of passengers present in the air-conditioning control zone is determined based on the equipment location parameters of all passengers present.

[0083] In this optional embodiment, the device signal strength parameter includes a current device signal strength parameter and a standard signal strength parameter at a preset detection distance; the environmental parameter includes at least one of an environmental temperature parameter, a temperature and humidity parameter, and an environmental object parameter.

[0084] Further, as an optional implementation, the device distance parameter of the present passenger is: d=10 （（RSSI-A） / （10*n）） ; RSSI is the current device signal strength parameter of the passenger present, A is the standard signal strength parameter of the passenger present at the preset detection distance, and n is the environmental attenuation factor parameter of the passenger present.

[0085] It can be seen that implementation Figure 3The described air conditioning energy-saving automatic control device for the airport terminal can accurately calculate the actual distance between each passenger on site and the probe (i.e., the device distance parameter) and further determine its position (i.e., the device position parameter) through the device signal strength parameters of each passenger on site and the environmental parameters of the location, thereby improving the comprehensiveness and accuracy of the analysis of signal propagation under different environmental conditions, thereby improving the reliability and accuracy of the positioning of the passengers on site, thereby improving the accuracy of counting the number of passengers on site.

[0086] In another optional embodiment, the first determining module 302 determines the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present, specifically including: Obtain the zone environmental parameters of the air conditioning control zone; According to the expected number of passengers, the first number of passengers present and the second number of passengers present, and through the pre-trained target model, the expected number of passengers present in the air-conditioning control zone is determined; Determine the air conditioning control parameters of the air conditioning control zone based on the zone environmental parameters and the expected number of passengers on site.

[0087] In this optional embodiment, the zone environmental parameters include at least one of a zone air quality parameter, a zone temperature parameter, a zone humidity parameter, a zone wind direction parameter, and a zone air volume parameter.

[0088] It can be seen that implementation Figure 3 The described air conditioning energy-saving automatic control device for the airport terminal can determine the expected number of passengers present in the air-conditioning control zone by integrating multiple data sources (including the expected number of passengers, video image analysis, wireless probe data, etc.), which significantly improves the accuracy and reliability of passenger headcount; in addition, by real-time monitoring and analysis of zone environmental parameters (such as air quality, temperature, humidity, wind direction, air volume, etc.), it can accurately grasp the environmental conditions within the air-conditioning control zone, which provides a scientific basis for subsequent air-conditioning control and ensures that the adjustment of the air-conditioning system can accurately respond to environmental changes and meet the comfort needs of passengers.

[0089] Embodiment 4 See also Figure 4 , Figure 4 FIG. 1 is a schematic diagram of the structure of another air conditioning energy-saving automatic control device for an airport terminal disclosed in an embodiment of the present invention. Figure 4 As shown, the air conditioning energy-saving automatic control device of the airport terminal may include: A memory 401 storing executable program codes; a processor 402 coupled to the memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the air conditioning energy-saving automatic control method for an airport terminal described in the first embodiment of the present invention or the second embodiment of the present invention.

[0090] Embodiment 5 An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the air conditioning energy-saving automatic control method for an airport terminal described in Embodiment 1 or Embodiment 2 of the present invention.

[0091] Embodiment 6 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps of the air conditioning energy-saving automatic control method for an airport terminal described in Embodiment 1 or Embodiment 2.

[0092] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0093] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0094] Finally, it should be noted that the energy-saving automatic control method and device for air conditioning in an airport terminal disclosed in the embodiment of the present invention only discloses a preferred embodiment of the present invention, which is only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An air conditioning energy-saving automatic control method for an airport terminal, characterized in that: The method comprises: Obtaining target information of the air-conditioning control zones pre-divided in the airport terminal, and determining the expected number of passengers in the air-conditioning control zones according to the target information; the target information includes at least one of zone type information, flight status information, flight number information, flight model information, and flight time information; Acquire a video image of the air-conditioning control zone, and determine a first number of passengers present in the air-conditioning control zone according to the video image; Determine the probe information of the air-conditioning control zone, and determine the second number of passengers present in the air-conditioning control zone according to the probe information; The air conditioning control parameters of the air conditioning control zone are determined according to the expected number of passengers, the first number of passengers present, and the second number of passengers present, and the air conditioning of the air conditioning control zone is controlled according to the air conditioning control parameters.

2. The air conditioning energy saving automatic control method for an airport terminal according to claim 1, characterized in that: Determining the first number of passengers present in the air-conditioning control zone according to the video image includes: Determine image information in the video image according to the video image; the image information includes scene information and crowd flow information; Determine, according to the image information, a plurality of target bounding boxes in the video image, and determine bounding box information corresponding to all the target bounding boxes; the bounding box information corresponding to all the target bounding boxes includes at least one of bounding box position information, bounding box size information, bounding box center point information of each target bounding box, and overlap information between all the target bounding boxes; The target number of passengers in the video image is determined according to the bounding box information corresponding to all the target bounding boxes as the first number of passengers present in the air-conditioning control zone.

3. The air conditioning energy saving automatic control method for an airport terminal according to claim 2, characterized in that: The determining the number of target passengers in the video image according to the bounding box information corresponding to all the target bounding boxes includes: Determine, according to the bounding box information corresponding to all the target bounding boxes, a basic portrait corresponding to each of the target bounding boxes in the video image, and obtain first feature information of all the basic portraits; the first feature information includes first appearance feature information and first motion feature information; Acquire the historical video frame portrait corresponding to each of the target bounding boxes, and acquire the second feature information of all the historical video frame portraits; the second feature information includes second appearance feature information and second motion feature information; According to the first feature information and the corresponding second feature information corresponding to all the target bounding boxes, the target portrait corresponding to each target bounding box is determined, and according to the target portraits corresponding to all the target bounding boxes, the total number of people corresponding to all the target bounding boxes is determined as the number of target passengers in the video image.

4. The air conditioning energy saving automatic control method for an airport terminal according to claim 3, characterized in that: The determining of the probe information of the air conditioning control zone includes: By using a plurality of probes preset in the air-conditioning control zone, a detection operation is performed on a target device of each passenger present in the air-conditioning control zone to obtain device feedback information of the target device of each passenger present; the target device includes a wireless device and / or a Bluetooth device, and the device feedback information includes at least one of MAC address feedback information, wireless device feedback information and Bluetooth device feedback information; According to the device feedback information of the target device of each of the present passengers, the device signal information of each of the present passengers is determined as the probe information of the air-conditioning control zone; the device signal information includes at least one of device signal amplitude information, device signal phase information and device signal frequency information.

5. The air conditioning energy-saving automatic control method for an airport terminal according to claim 4, characterized in that: Determining the second number of passengers present in the air-conditioning control zone according to the probe information includes: Determine the device signal strength parameter of each of the passengers present according to the device signal information of each of the passengers present; the device signal strength parameter includes the current device signal strength parameter and the standard signal strength parameter under the preset detection distance; For each of the present passengers, determine the environmental parameters of the location of the present passenger, and determine the environmental attenuation factor parameters of the present passenger according to the environmental parameters of the location of the present passenger; the environmental parameters include at least one of the environmental temperature parameters, the temperature and humidity parameters, and the environmental object parameters; For each of the present passengers, determine the device distance parameter of the present passenger according to the environmental attenuation factor parameter of the present passenger and the corresponding device signal strength parameter, and determine the device location parameter of the present passenger according to the device distance parameter of the present passenger; The second number of passengers present in the air-conditioning control zone is determined according to the device location parameters of all the passengers present.

6. The air conditioning energy saving automatic control method for an airport terminal according to claim 5, characterized in that: The equipment distance parameters of the passengers present are: d=10 （（RSSI-A） / （10*n）） ； RSSI is the current device signal strength parameter of the passenger present, A is the standard signal strength parameter of the passenger present at the preset detection distance, and n is the environmental attenuation factor parameter of the passenger present.

7. The air conditioning energy-saving automatic control method for an airport terminal according to any one of claims 1 to 6, characterized in that: The determining of the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present includes: Acquire the zone environmental parameters of the air conditioning control zone; the zone environmental parameters include at least one of a zone air quality parameter, a zone temperature parameter, a zone humidity parameter, a zone wind direction parameter, and a zone air volume parameter; Determining the expected number of passengers present in the air-conditioning control zone according to the expected number of passengers, the first number of passengers present and the second number of passengers present, and by using a pre-trained target model; The air conditioning control parameters of the air conditioning control zone are determined according to the zone environmental parameters and the expected number of passengers on site.

8. An air conditioning energy-saving automatic control device for an airport terminal, characterized in that: The device comprises: An acquisition module, used to acquire target information of air conditioning control zones pre-divided in the airport terminal; A first determination module is used to determine the expected number of passengers in the air-conditioning control zone according to the target information; the target information includes at least one of zone type information, flight status information, flight number information, flight model information and flight time information; The acquisition module is further used to acquire the video image of the air conditioning control zone; A second determination module is used to determine the first number of passengers present in the air-conditioning control zone according to the video image; A third determination module is used to determine the probe information of the air-conditioning control zone, and determine the second number of passengers present in the air-conditioning control zone according to the probe information; The first determination module is further used to determine the air conditioning control parameters of the air conditioning control zone according to the expected number of passengers, the first number of passengers present, and the second number of passengers present; A control module is used to control the air conditioner of the air conditioner control zone according to the air conditioner control parameters.

9. An air conditioning energy-saving automatic control device for an airport terminal, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the air conditioning energy-saving automatic control method for an airport terminal as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the air conditioning energy-saving automatic control method for an airport terminal as described in any one of claims 1-7.

Images