Air conditioning zoning supply control method based on predicted dynamic passenger flow of subway station

Abstract

The present application belongs to the technical field of air conditioning supply control, and particularly relates to an air conditioning partitioned supply control method based on predicted dynamic passenger flow of a subway station, which is completed by a partitioned air conditioning supply system, and controls and adjusts the air conditioner according to the real-time passenger flow density of the partition and the passenger flow density at the next moment predicted based on a passenger flow distribution database, controls the air outlet supply amount of the air conditioner, offsets the delay of the air conditioning system in adjusting the indoor environment, and realizes the relatively stable control of the indoor thermal environment parameters under the periodic fluctuation of the public area load. The method can obtain the total passenger flow and the passenger flow of each area at a future moment according to the dynamic passenger flow prediction, adjust the total air supply amount and the regional air supply amount of the air conditioning system, improve the human thermal comfort, has important practical significance for subway energy saving, and is an urgent demand for solving the thermal comfort of the subway space.

Description

Technical Field

[0001] This invention belongs to the field of air conditioning air supply control technology, specifically relating to an air conditioning zone air supply control method based on predicted dynamic passenger flow in subway stations. Background Technology

[0002] In the design of air conditioning systems in public areas of subway stations, the equipment capacity of ventilation and air conditioning systems is generally selected based on the long-term maximum load demand of subway operation, with a certain design margin. However, the system load exhibits significant peak-valley differences due to changes in passenger flow, external temperature and humidity, and train frequency. The full-load operation time is very short, and the load fluctuates greatly. Currently, variable air volume (VAV) air conditioning systems are generally used to achieve peak-valley differences in air conditioning load over time, thereby achieving energy conservation.

[0003] Besides temporal load differences, the significant variations in passenger density across different areas of the station hall and platform lead to substantial regional variations in air conditioning load. Current variable air volume (VAV) systems, which adjust the total airflow at different times, merely change the fan frequency to uniformly distribute airflow in public areas when the air conditioning load changes. This fails to meet the demands of regional load variations, resulting in large temperature differences and poor comfort across different parts of the station. Therefore, designing a differentiated subway environment system and researching its precise control strategies is of significant practical importance for subway energy conservation and is an urgent need to address thermal comfort in subway spaces. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the present invention aims to provide a method for controlling air conditioning zoned air supply based on predicted dynamic passenger flow in subway stations.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] A method for zoned air supply control of air conditioning based on predicted dynamic passenger flow in subway stations includes the following steps:

[0007] Passenger flow is continuously identified to obtain passenger flow distribution data at different times of the day, forming a passenger flow distribution database;

[0008] Analyze the relationship between changes in passenger flow and the temperature fluctuation range of corresponding areas to provide basic data for air conditioning control and adjustment.

[0009] The air conditioner is controlled and regulated to obtain the delay time from the start of air conditioner regulation to the occurrence of changes in the regional thermal environment and then stabilization, and to obtain the relationship between the air conditioner air supply volume and the fluctuation range of the air conditioner air supply temperature in the corresponding area.

[0010] Based on recent historical passenger flow data, predict the total number of passengers at the station and the changes in passenger flow by zone for the next time period after the current moment in the recent historical data.

[0011] The time when air conditioning needs to be adjusted is calculated based on the delay time; at the scheduled time, the required air conditioning air volume is calculated based on the temperature fluctuation range of passenger flow changes and the fluctuation range of air conditioning supply air temperature, and the air conditioning air volume is adjusted accordingly.

[0012] Optionally, the analysis of the relationship between changes in passenger flow and the corresponding temperature fluctuation range in the area specifically includes...

[0013] Analyze the changes in passenger flow during the corresponding time period;

[0014] Select the passenger flow changes and temperature fluctuation range for the corresponding time period;

[0015] Establish a functional relationship between the change in passenger flow and the amplitude of temperature fluctuations in passenger flow.

[0016] Optionally, the air conditioning is controlled and regulated to obtain the delay time from the start of air conditioning regulation to the occurrence of changes in the regional thermal environment and then stabilization, and to obtain the relationship between the air conditioning supply volume and the fluctuation range of the air conditioning supply temperature in the corresponding area, specifically including:

[0017] Control the air conditioning air volume and record the time T1 when the air conditioning air volume begins to change.

[0018] Monitor temperature data and record the time T2 required for the temperature change to reach a preset temperature stability.

[0019] Obtain the time delay T2-T1 from when the air conditioner starts to change the air supply volume to when the regional thermal environment changes and then stabilizes;

[0020] Record the temperature change within the delay time;

[0021] Establish a functional relationship between different air conditioning supply air volume and temperature change within the corresponding delay time, thereby determining the relationship between air conditioning supply air volume and the fluctuation range of air conditioning supply air temperature in the corresponding area.

[0022] Optionally, at a predetermined time, the required air conditioning air volume is calculated based on the fluctuation range of passenger flow temperature and the fluctuation range of air conditioning supply air temperature, and the adjustment of the air conditioning air volume specifically includes:

[0023] Obtain the predicted passenger flow for the next time period δT;

[0024] The predicted temperature change is calculated based on the predicted change in passenger flow and the temperature fluctuation range of the passenger flow change.

[0025] Based on the predicted temperature change and the fluctuation range of the air conditioning supply air temperature, the required air conditioning supply air volume is calculated, and the air conditioning supply air volume is adjusted.

[0026] Optionally, the predicted temperature change is calculated based on the predicted change in passenger flow, combined with the temperature fluctuation range of the passenger flow change. Specifically, this includes:

[0027] Passenger flow monitoring sensors collect actual passenger flow data and obtain the difference between the actual passenger flow data and the predicted passenger flow data at that moment.

[0028] The predictive analysis computer calculates the difference between the predicted passenger flow and the actual passenger flow at the next time period δT based on the difference.

[0029] The control module adjusts the air conditioning air volume based on the difference, specifically: if the actual passenger flow data is greater than the predicted passenger flow data, the control module increases the air conditioning air volume; if the actual passenger flow data is less than the predicted passenger flow data, the control module decreases the air conditioning air volume.

[0030] One technical solution adopted by the present invention is: a control device, comprising...

[0031] Passenger flow monitoring sensors are used to continuously identify passenger flow and obtain passenger flow distribution data at different times of the day;

[0032] Temperature sensors are used to identify ambient temperature and obtain ambient temperature data at different times of the day;

[0033] The data acquisition and transmission channel is used to transmit passenger flow distribution data and ambient temperature data;

[0034] The data prediction and analysis computer is used to receive passenger flow distribution data and ambient temperature data, analyze the relationship between passenger flow changes and the temperature fluctuation range of passenger flow changes in the corresponding area, obtain the delay time from the start of air conditioning adjustment to the stabilization of the regional thermal environment, obtain the relationship between air conditioning air volume and the temperature fluctuation range of air conditioning air in the corresponding area, predict the total number of people in the station and the passenger flow change data of the next time period after the same moment in recent historical data, calculate the scheduled time when air conditioning adjustment is required based on the delay time, calculate the required air conditioning air volume based on the temperature fluctuation range of passenger flow changes and the temperature fluctuation range of air conditioning air, and issue control commands to adjust the air conditioning air volume.

[0035] The control module is used to adjust the air supply volume of the air conditioner according to control commands.

[0036] Another technical solution adopted by the present invention is: a zoned air conditioning air supply system, including an air conditioning air supply device and the above-mentioned control device;

[0037] The zoned air conditioning system includes an air conditioning unit, a main air supply duct, multiple air outlets, and multiple electric air valves. The multiple air outlets are all connected to the air conditioning unit through the main air supply duct, and the multiple electric air valves are installed on the multiple air outlets one by one.

[0038] Both the passenger flow monitoring sensor and the temperature sensor are electrically connected to the data prediction and analysis computer through the data acquisition and data transmission channel. The control module is electrically connected to the data prediction and analysis computer, the air conditioning unit, and the electric air valve.

[0039] Another technical solution adopted in this invention is: an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the above-mentioned air conditioning zone air supply control method.

[0040] Another technical solution adopted in this invention is: a non-transitory computer-readable storage medium storing a computer program thereon, characterized in that the computer program, when executed by a processor, implements the above-mentioned air conditioning zone air supply control method.

[0041] Another technical solution adopted by the present invention is: a computer program product, including a computer program, characterized in that the computer program implements the above-mentioned air conditioning zone air supply control method when executed by a processor.

[0042] Compared with the prior art, the beneficial effects of the present invention are:

[0043] This invention proposes a zoned air supply control method for air conditioning based on predicted dynamic passenger flow in subway stations. The method adjusts the air conditioning system according to real-time passenger flow density in each zone and the predicted passenger flow density for the next moment based on a passenger flow distribution database. This controls the airflow from the air vents to offset the delay in the air conditioning system's adjustment of the indoor environment, achieving relatively stable control of indoor thermal environment parameters under periodic fluctuations in public area load. This method can obtain the total passenger flow and passenger flow in each zone at a future moment based on dynamic passenger flow prediction, and adjust the total air supply and zone air supply of the air conditioning system to improve human thermal comfort. This has significant practical implications for subway energy conservation and addresses the urgent need to solve thermal comfort issues in subway spaces. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a flowchart of the air conditioning zoned air supply control method based on predicted dynamic passenger flow in subway stations according to the present invention.

[0046] Figure 2 This is a schematic diagram of the partitioned air conditioning system of the present invention.

[0047] In the diagram: 101, Air conditioning room; 102, Public area; 201, Air conditioning unit; 202, Main air supply duct; 203, Electric air valve; 204, Air outlet; 301, Passenger flow monitoring sensor; 302, Data acquisition and transmission channel; 303, Data prediction and analysis computer; 304, Control module; 305, Temperature sensor. Detailed Implementation

[0048] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0049] Example 1

[0050] This embodiment discloses a zoned air conditioning system including an air conditioning air supply device and a control device. The air conditioning air supply device includes an air conditioning unit 201, a main air supply duct 202, multiple air outlets 204, and multiple electric air valves 203. The air conditioning unit 201 is installed in an air conditioning room 101. The multiple air outlets 204 and the main air supply duct 202 are installed in the public area 102 of the subway. The multiple air outlets 204 are all connected to the air conditioning unit 201 through the main air supply duct 202. The multiple electric air valves 203 are installed one-to-one on the multiple air outlets 204.

[0051] The control device includes a passenger flow monitoring sensor 301, a temperature sensor 305, a data acquisition and data transmission channel 302, a data prediction and analysis computer 303, and a control module 304. The passenger flow monitoring sensor 301, temperature sensor 305, control module 304, and data transmission channel 302 are located in the public area 102 of the subway, while the data prediction and analysis computer 303 is located in the air conditioning room 101. The passenger flow monitoring sensor 301, temperature sensor 305, and control module 304 are all electrically connected to the data prediction and analysis computer 303 via the data acquisition and data transmission channel 302. The control module 304 is electrically connected to the data prediction and analysis computer 303, the air conditioning unit 201, and the electric air valve 203. It is worth noting that the passenger flow monitoring sensor 301 is used to continuously identify passenger flow and obtain passenger flow distribution data at different times of the day; the temperature sensor 305 is used to identify ambient temperature and obtain ambient temperature data at different times of the day; the data acquisition and data transmission channel 302 is used to transmit passenger flow distribution data and ambient temperature data; the data prediction and analysis computer 303 is used to receive passenger flow distribution data and ambient temperature data, analyze the relationship between passenger flow changes and the temperature fluctuation range of passenger flow changes in the corresponding area, obtain the delay time from the start of air conditioning adjustment to the stabilization of the regional thermal environment, obtain the relationship between air conditioning air volume and the temperature fluctuation range of air conditioning air in the corresponding area, predict the total number of people in the station and the passenger flow change data of the next time period after the same moment in recent historical data, calculate the predetermined time when air conditioning adjustment is required based on the delay time, calculate the required air conditioning air volume based on the temperature fluctuation range of passenger flow changes and the temperature fluctuation range of air conditioning air, and issue control commands to adjust the air conditioning air volume; the control module 304 is used to adjust the air conditioning air volume according to the control commands. It is easy to understand that the air volume supplied by the air conditioner is positively correlated with the opening degree of the electric air valve 203. That is, the larger the opening degree of the electric air valve 203, the larger the air volume supplied by the air conditioner, and vice versa.

[0052] Example 2

[0053] As another embodiment of the present invention, this embodiment discloses an air conditioning zone air supply control method based on predicted dynamic passenger flow in subway stations, which is implemented through the zone air conditioning system in Embodiment 1. The air conditioning zone air supply control method based on predicted dynamic passenger flow in subway stations in this embodiment specifically includes the following steps:

[0054] Step S01: Continuously identify passenger flow to obtain passenger flow distribution data at different times of the day, forming a passenger flow distribution database. Continuous passenger flow identification is performed by a passenger flow monitoring sensor 301, which includes a camera. The camera can use image recognition technology to identify the number of passengers in the video captured by the camera. Specifically, obtaining passenger flow distribution data at different times of the day and forming the passenger flow distribution database involves the passenger flow monitoring sensor 301 transmitting the monitored data to a data prediction and analysis computer 303 via a data acquisition and data transmission channel 302. The data prediction and analysis computer 303 then stores and records the obtained data to form the passenger flow distribution database.

[0055] Step S02: Analyze the relationship between passenger flow changes and the temperature fluctuation range of passenger flow changes in the corresponding area, as the basic data for air conditioning control and adjustment; specifically, first analyze the passenger flow changes in the corresponding time period; then select the temperature fluctuation range of passenger flow changes in the corresponding time period; finally establish a functional relationship between the passenger flow changes and the temperature fluctuation range of passenger flow changes.

[0056] Step S03: Control and adjust the air conditioner to obtain the delay time from the start of air conditioner adjustment to the stabilization of the regional thermal environment, and obtain the relationship between the air conditioner's air supply volume and the fluctuation range of the air conditioner's air supply temperature in the corresponding area. Specifically, this includes: the control module 304 controlling the opening of the electric damper 203; the data prediction and analysis computer 303 recording the time T1 when the electric damper 203 starts to change its opening; the temperature sensor 305 monitoring temperature data; and the data prediction and analysis computer 303 recording the time T2 when the temperature change reaches the preset temperature stabilization; obtaining the delay time T2-T1 from the start of air conditioner adjustment to the stabilization of the regional thermal environment. Next, the control module 304 controls the opening of the electric damper 203; the temperature sensor 305 monitors temperature data and records the corresponding temperature change within the delay time; the data prediction and analysis computer 303 establishes a functional relationship between the opening of different electric dampers 203 and the temperature change within the corresponding delay time, thereby determining the relationship between the air conditioner's air supply volume and the fluctuation range of the air conditioner's air supply temperature in the corresponding area.

[0057] Step S04: Based on recent historical passenger flow data, predict the total number of passengers at the station and the changes in passenger flow by zone for the next time period after the current moment in the recent historical data.

[0058] Step S05: Calculate the scheduled time for air conditioning adjustment based on the delay time; at the scheduled time, calculate the required air conditioning air volume based on the temperature fluctuation range due to changes in passenger flow and the fluctuation range of air conditioning supply air temperature, and complete the adjustment of the air conditioning air volume. Specifically, calculating the scheduled time for air conditioning adjustment based on the delay time means that, according to the database, the number of people will change in the next 60 seconds. Based on the change in the number of people, the adjustment time required to stabilize the temperature after the change in the number of people can be calculated according to the function relationship in step S03, i.e., the delay time. For example, if the delay is 30 seconds, then the adjustment time can be determined to be 30 seconds before the change in the number of people in the next 60 seconds, so as to ensure that the temperature change caused by the change in the number of people is offset after 30 seconds of adjustment time.

[0059] Furthermore, at the predetermined time, the required air conditioning air volume is calculated based on the fluctuation range of passenger flow and the fluctuation range of air conditioning supply air temperature. The adjustment of the air conditioning air volume specifically includes: the data prediction and analysis computer 303 obtains the predicted passenger flow at the next time period δT; the predicted temperature change is calculated based on the predicted passenger flow change and the fluctuation range of passenger flow temperature; based on the predicted temperature change, the delay time, and the fluctuation range of air conditioning supply air temperature, the opening degree of the electric air valve 203 that needs to be set can be calculated according to the functional relationship in step S03; and the control module 304 completes the opening degree adjustment of the electric air valve 203 to ensure that the temperature can be stably adjusted within the delay time.

[0060] Furthermore, in this embodiment, the calculation of the predicted temperature change based on the predicted passenger flow change and the temperature fluctuation range of the passenger flow change specifically includes: the passenger flow monitoring sensor 301 collects actual passenger flow data and obtains the difference between the actual passenger flow data and the predicted passenger flow data at that moment; the predictive analysis computer calculates the difference between the predicted passenger flow and the actual passenger flow at the next time period δT based on the difference; and the control module 304 adjusts the opening of the electric air valve 203 according to the difference. If the actual passenger flow data is greater than the predicted passenger flow data, the control module 304 increases the opening of the electric air valve 203 to offset the temperature rise. If the actual passenger flow data is less than the predicted passenger flow data, the control module 304 decreases the opening of the electric air valve 203 to offset the temperature drop.

[0061] Compared with the prior art, the beneficial effects of the present invention are:

[0062] This invention proposes an air conditioning zone air supply control method based on predicted dynamic passenger flow in subway stations. According to the real-time passenger flow density of each zone and the passenger flow density predicted for the next moment based on the passenger flow distribution database, the air conditioning is controlled and adjusted to control the air supply volume of the air conditioning vents, thereby offsetting the delay of the air conditioning system in regulating the indoor environment and achieving relatively stable control of indoor thermal environment parameters under the periodic fluctuation of the load in the public area 102.

[0063] The air conditioning system of this invention is evenly distributed in the public area 102. The passenger flow information collection and analysis device and control module 304 are connected to the branches of the air conditioning system in each area. They are used to control the frequency of the air conditioning system fan according to the total passenger flow, and to control the air supply volume of each area's air outlet according to the real-time passenger flow density of each area and the passenger flow density predicted at the next moment based on the passenger flow database. This offsets the delay of the air conditioning system in regulating the indoor environment and achieves relatively stable control of the indoor thermal environment parameters under the periodic fluctuation of the load in the public area 102.

[0064] This system can obtain the total passenger flow and passenger flow in each area at a future time based on dynamic passenger flow forecasts, and adjust the total air supply volume and regional air supply volume of the air conditioning system to improve human thermal comfort. It effectively solves the shortcomings of traditional air conditioning systems that cannot meet regional load differences, large temperature differences between different locations in the station, and poor comfort. It can improve the comfort of passengers in underground stations and the energy efficiency of underground station air conditioning systems, which has important practical significance for subway energy conservation and is also an urgent need to solve the thermal comfort of subway spaces.

[0065] Example 3

[0066] As another embodiment of the present invention, this embodiment discloses an electronic device, a non-transitory computer-readable storage medium, and a computer program product.

[0067] Furthermore, the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the air conditioning zone air supply control method as described in Embodiment 2.

[0068] Furthermore, a computer program is stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, it implements the air conditioning zone air supply control method as described in Example 2.

[0069] Furthermore, when the computer program is executed by the processor, it implements the air conditioning zone air supply control method as shown in Example 2.

[0070] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of this application, it should be understood that if terms such as "upper," "lower," "left," "right," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting this patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0071] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for zoned air supply control of air conditioning based on predicted dynamic passenger flow in subway stations, characterized in that, Includes the following steps: Passenger flow is continuously identified to obtain passenger flow distribution data at different times of the day, forming a passenger flow distribution database; Analyze the relationship between changes in passenger flow and the temperature fluctuation range of corresponding areas to provide basic data for air conditioning control and adjustment. The air conditioner is controlled and regulated to obtain the delay time from the start of air conditioner regulation to the occurrence of changes in the regional thermal environment and then stabilization, and to obtain the relationship between the air conditioner air supply volume and the fluctuation range of the air conditioner air supply temperature in the corresponding area. Based on recent historical passenger flow data, predict the total number of passengers at the station and the changes in passenger flow by zone for the next time period after the current moment in the recent historical data. The predetermined time for air conditioning adjustment is calculated based on the delay time; at the predetermined time, the required air conditioning air volume is calculated based on the temperature fluctuation range of passenger flow changes and the temperature fluctuation range of air conditioning supply air, and the air conditioning air volume is adjusted, including: Obtain the predicted passenger flow for the next time period δT; Based on the predicted change in passenger flow, the predicted temperature change is calculated in conjunction with the temperature fluctuation range of the passenger flow change. Based on the predicted temperature change and the fluctuation range of the air conditioner supply air temperature, the required air supply air volume is calculated, and the air supply air volume is adjusted. The step of calculating the predicted temperature change based on the predicted change in passenger flow and the temperature fluctuation range of the passenger flow change includes: Collect actual passenger flow data and obtain the difference between the actual passenger flow data and the predicted passenger flow data at that moment; The difference between the predicted passenger flow and the actual passenger flow at the next time period δT is calculated based on the difference. If the actual passenger flow data is greater than the predicted passenger flow data, the air conditioning air volume is increased; if the actual passenger flow data is less than the predicted passenger flow data, the air conditioning air volume is decreased.

2. The air conditioning zone control method based on predicted dynamic passenger flow in subway stations as described in claim 1, characterized in that, The analysis of the relationship between changes in passenger flow and the temperature fluctuation range of passenger flow in the corresponding area specifically includes: Analyze the changes in passenger flow during the corresponding time period; Select the passenger flow changes and temperature fluctuation range for the corresponding time period; Establish a functional relationship between the change in passenger flow and the temperature fluctuation range of the passenger flow change.

3. The air conditioning zone supply control method based on predicted dynamic passenger flow in subway stations as described in claim 1, characterized in that, The process of controlling and adjusting the air conditioner to obtain the delay time from the start of air conditioner adjustment to the time when the regional thermal environment changes and then stabilizes, and to obtain the relationship between the air conditioner's air supply volume and the fluctuation range of the air conditioner's air supply temperature in the corresponding area, specifically includes: Control the air supply volume of the air conditioner and record the time T1 when the air supply volume of the air conditioner begins to change. Monitor temperature data and record the time T2 required for the temperature change to reach a preset temperature stability. Obtain the time delay T2-T1 from when the air conditioner starts to change the air supply volume to when the regional thermal environment changes and then stabilizes; Record the temperature change within the specified delay time. Establish a functional relationship between different air conditioning air volume and temperature change within the corresponding delay time, thereby determining the relationship between air conditioning air volume and the fluctuation range of air conditioning air supply temperature in the corresponding area.

4. A control device, characterized in that, include Passenger flow monitoring sensors are used to continuously identify passenger flow and obtain passenger flow distribution data at different times of the day; Temperature sensors are used to identify ambient temperature and obtain ambient temperature data at different times of the day; A data transmission channel is used to transmit the passenger flow distribution data and the ambient temperature data; A data prediction and analysis computer is used to receive the passenger flow distribution data and the ambient temperature data, analyze the relationship between passenger flow changes and the temperature fluctuation range of passenger flow changes in the corresponding area, obtain the delay time from the start of air conditioning adjustment to the stabilization of the regional thermal environment, obtain the relationship between the air conditioning supply volume and the temperature fluctuation range of the air conditioning supply in the corresponding area, predict the total number of people in the station and the passenger flow change data of the next time period after the same moment in recent historical data, calculate the predetermined time when air conditioning adjustment is required based on the delay time, and at the predetermined time, calculate the required air conditioning supply volume based on the temperature fluctuation range of passenger flow changes and the temperature fluctuation range of air conditioning supply, and issue a control command to adjust the air conditioning supply volume. The control module, used to adjust the air supply volume of the air conditioner according to the control command, includes: Obtain the predicted passenger flow for the next time period δT; Based on the predicted change in passenger flow, the predicted temperature change is calculated in conjunction with the temperature fluctuation range of the passenger flow change. Based on the predicted temperature change and the fluctuation range of the air conditioner supply air temperature, the required air supply air volume is calculated, and the air supply air volume is adjusted. The step of calculating the predicted temperature change based on the predicted change in passenger flow and the temperature fluctuation range of the passenger flow change includes: Collect actual passenger flow data and obtain the difference between the actual passenger flow data and the predicted passenger flow data at that moment; The difference between the predicted passenger flow and the actual passenger flow at the next time period δT is calculated based on the difference. If the actual passenger flow data is greater than the predicted passenger flow data, the air conditioning air volume is increased; if the actual passenger flow data is less than the predicted passenger flow data, the air conditioning air volume is decreased.

5. A zoned air conditioning system, characterized in that, Includes an air conditioning air supply device and a control device as described in claim 4; The zoned air conditioning system includes an air conditioning unit, a main air supply duct, multiple air outlets, and multiple electric air valves. The multiple air outlets are all connected to the air conditioning unit through the main air supply duct, and the multiple electric air valves are installed on the multiple air outlets one by one. Both the passenger flow monitoring sensor and the temperature sensor are electrically connected to the data prediction and analysis computer through the data acquisition and data transmission channel. The control module is electrically connected to the data prediction and analysis computer, the air conditioning unit, and the electric air valve.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the air conditioning zone air supply control method as described in any one of claims 1 to 3.

7. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the air conditioning zone air supply control method as described in any one of claims 1 to 3.

8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the air conditioning zone air supply control method as described in any one of claims 1 to 3.

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