An energy-saving control method and system for ventilation and air conditioning systems in subway stations

Abstract

This invention relates to the field of energy-saving control technology for rail transit, and specifically to an energy-saving control method and system for a subway station ventilation and air conditioning system. The method includes acquiring first and second information. The first information includes spatial layout information of the subway station, and the second information includes motion trajectory information of passengers captured within the subway station. Based on the first and second information, the method determines the motion characteristics of each passenger to obtain third information. Based on the third information, the method determines the location information of each passenger at each moment to obtain fourth information, which includes passenger density within the subway station concourse. Based on the fourth information, the method divides the subway station concourse into zones to obtain a zoned subway station concourse. Finally, the method performs zoned control on the zoned subway station concourse to obtain a control strategy for the station concourse ventilation and air conditioning system. This invention divides the station concourse into zones based on different passenger densities, ensuring passenger comfort while saving energy.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology for rail transit, and more specifically, to an energy-saving control method and system for ventilation and air conditioning systems in subway stations. Background Technology

[0002] With the continuous development of urban rail transit in my country, further improving the station environment and reducing station operation energy consumption has become a key way to achieve high-quality development of rail transit. The ventilation and air conditioning system accounts for a very high proportion of the total energy consumption of the subway environmental control system. Existing technologies usually use sensors to monitor indicators such as temperature and humidity in the station hall and adjust the control strategy of the ventilation and air conditioning system in the station hall according to the monitoring data. However, the environment of the station hall is relatively complex, and the monitoring data for different areas of the station hall are not the same, which cannot accurately reflect the actual situation of the entire station hall, resulting in insufficient precision in the adjustment of the ventilation and air conditioning system. Summary of the Invention

[0003] The purpose of this invention is to provide an energy-saving control method and system for the ventilation and air conditioning system of a subway station, so as to improve the above-mentioned problems.

[0004] To achieve the above objectives, the embodiments of this application provide the following technical solutions:

[0005] On the one hand, embodiments of this application provide an energy-saving control method for a subway station ventilation and air conditioning system, the method comprising:

[0006] Acquire first information and second information, wherein the first information includes spatial layout information of the subway station and the second information includes motion trajectory information of passengers captured inside the subway station;

[0007] Based on the first and second information, the motion characteristics of each passenger are determined, and the third information is obtained.

[0008] Based on the third information, the location information of each passenger at each moment is determined, and the fourth information is obtained, which includes the passenger density in the subway station hall;

[0009] The subway station concourse is divided according to the fourth information to obtain the subway station concourse after the division of areas;

[0010] By dividing the subway station concourse into zones, a control strategy for the station concourse ventilation and air conditioning system is obtained.

[0011] Secondly, embodiments of this application provide an energy-saving control system for a subway station ventilation and air conditioning system, the system comprising:

[0012] The first acquisition module is used to acquire first information and second information. The first information includes spatial layout information of the subway station, and the second information includes motion trajectory information of passengers captured in the subway station.

[0013] The first processing module is used to determine the motion characteristics of each passenger based on the first information and the second information, and to obtain the third information;

[0014] The second processing module is used to determine the location information of each passenger at each moment based on the third information, and to obtain the fourth information, which includes the passenger density in the subway station hall.

[0015] The third processing module is used to divide the subway station concourse according to the fourth information to obtain the subway station concourse after the division of areas;

[0016] The fourth processing module is used to perform zone control on the subway station concourse after the area is divided, and to obtain the control strategy of the station concourse ventilation and air conditioning system.

[0017] Thirdly, embodiments of this application provide an energy-saving control device for a subway station ventilation and air conditioning system, the device including a memory and a processor. The memory is used to store a computer program; the processor is used to execute the computer program to implement the steps of the above-described energy-saving control method for the subway station ventilation and air conditioning system.

[0018] Fourthly, embodiments of this application provide a readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described energy-saving control method for the ventilation and air conditioning system of a subway station.

[0019] The beneficial effects of this invention are as follows:

[0020] This invention determines the movement characteristics of each passenger by using the spatial layout information of the subway station, and then determines the location information of each passenger at each moment based on the movement characteristics to determine the passenger density in different areas of the subway station hall, thus obtaining fourth information. Based on the fourth information, the subway station hall is divided to achieve zoning control of the subway station hall. Dividing the hall area by passenger density accurately reflects the actual situation of the entire hall, thereby precisely adjusting the air supply volume required for each area and effectively improving the accuracy of the ventilation and air conditioning system adjustment strategy.

[0021] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing embodiments of the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the energy-saving control method for the ventilation and air conditioning system of a subway station as described in an embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of the energy-saving control system structure of the subway station ventilation and air conditioning system described in an embodiment of the present invention.

[0025] Figure 3 This is a schematic diagram of the energy-saving control equipment for the subway station ventilation and air conditioning system as described in an embodiment of the present invention.

[0026] The diagram is labeled as follows: 901, First acquisition module; 902, First processing module; 903, Second processing module; 904, Third processing module; 905, Fourth processing module; 800, Energy-saving control equipment for subway station ventilation and air conditioning system; 801, Processor; 802, Memory; 803, Multimedia component; 804, I / O interface; 805, Communication component. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0028] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0029] Example 1:

[0030] This embodiment provides an energy-saving control method for the ventilation and air conditioning system of a subway station. It can be understood that this embodiment can be used to set up a scenario, such as a scenario in a subway station where energy-saving control of the air conditioning and ventilation system of the station hall and platform is required.

[0031] See Figure 1 The figure shows that the method includes steps S1, S2, S3, S4 and S5.

[0032] Step S1: Obtain first information and second information. The first information includes spatial layout information of the subway station, and the second information includes the movement trajectory information of passengers captured in the subway station.

[0033] In this step, the spatial layout information of the subway station is not limited and can be the spatial layout of any subway station. The second piece of information is the movement trajectory of passengers captured by the monitoring equipment installed in the subway station concourse and subway station platform.

[0034] Step S2: Determine the motion characteristics of each passenger based on the first information and the second information to obtain the third information;

[0035] Step S2 further includes steps S21, S22, S23, and S24, which specifically include:

[0036] Step S21: Divide the subway station into a grid to obtain a two-dimensional grid map corresponding to the subway station;

[0037] Step S22: Based on the passenger movement trajectory information captured by the subway station, determine at least one node information on the two-dimensional grid map corresponding to the subway station. The node information includes connection nodes between different rooms in the subway.

[0038] In this step, the subway station includes multiple rooms, such as platforms and restrooms, and the node information represents the entrances and exits between two rooms.

[0039] Step S23: Determine the center coordinates of each grid in the room to obtain at least one center coordinate information;

[0040] Step S24: Calculate the distance between each of the center coordinates and the corresponding node information to obtain the passenger's desired walking direction.

[0041] In this step, by calculating the distance between the center coordinates of each grid in a room and the node information, the distance value corresponding to each grid can be calculated. The smaller grid value is selected as the expected direction of the passenger's next movement. In addition, the social force model can be used to calculate the force between pedestrians, thereby determining the force on each passenger and obtaining the acceleration of each passenger's movement. Based on the acceleration of each passenger's movement, the expected direction of each passenger's movement, and the initial velocity, the position information of each passenger at each moment can be determined. It should be noted that the social force model is a technical solution well known to those skilled in the art, so it will not be described in detail here.

[0042] Step S3: Determine the location information of each passenger at each moment based on the third information to obtain the fourth information, which includes the passenger density in the subway station hall;

[0043] Step S3 further includes steps S31, S32, and S33, which specifically include:

[0044] Step S31: Construct at least one Thiessen polygon based on the location information of each passenger at each time step;

[0045] Step S32: Calculate the density information of each Thiessen polygon.

[0046] In this step, the specific calculation process for the density information of each Thiessen polygon is as follows:

[0047]

[0048] In the above formula, S i This represents the area of ​​the i-th Thiessen polygon. Given two-dimensional spatial coordinates (x, y), Let represent the density of the i-th Thiessen polygon.

[0049] Step S33: Determine the passenger density in different areas of the subway station hall based on the density information of each Thiessen polygon.

[0050] Step S4: Divide the subway station concourse according to the fourth information to obtain the subway station concourse after the division of areas;

[0051] In this step, due to the complexity of subway station concourses, there may be areas of congestion and areas of sparse crowds within the same concourse. The required air volume also varies depending on the passenger density. Therefore, by calculating the passenger density in different areas of the subway station concourse to accurately reflect the actual situation of the entire concourse, the ventilation and air conditioning system of the subway station concourse can be accurately controlled.

[0052] Step S5: Perform zone control on the subway station concourse after the area is divided to obtain the control strategy of the station concourse ventilation and air conditioning system.

[0053] Existing technologies typically deploy multiple sensors within subway station concourses to monitor parameters such as temperature and humidity. The control strategy for the ventilation and air conditioning system is then adjusted based on this data. However, this approach, due to the limited number of sensors, may not accurately reflect the actual conditions of the entire concourse. For example, areas near entrances and exits are significantly affected by the outdoor environment, and their parameters may differ markedly from those in the central area of ​​the concourse. Sensors may fail to capture these localized differences, leading to inaccurate adjustments to the ventilation and air conditioning system. Furthermore, uneven air mixing within subway station concourses can prevent the sensor-monitored parameters from accurately reflecting the actual environment in which people are situated. This hinders fine-tuning for the complexities of subway station concourses. Therefore, this application divides the subway station concourse into different areas based on passenger density, allowing for fine-tuning based on varying passenger densities. This not only meets the required airflow for each area but also effectively improves energy efficiency.

[0054] Step S5 further includes steps S51, S52, S53, and S54, which specifically include:

[0055] Step S51: Determine the congestion level of different areas of the station hall based on the fourth information to obtain the congestion level;

[0056] In this step, one specific implementation method is: dividing the corresponding subway station concourse area into different levels of congestion based on different passenger densities, specifically: when At that time, in non-congested areas; when At that time, it is considered a slightly congested area, i.e., a level 1 congestion area; when At that time, it was considered a level 2 congestion area; At that time, it was classified as a level 3 congestion area.

[0057] Step S52: Divide the station hall according to the congestion level to obtain the subway station hall after the division of the area;

[0058] Step S53: Determine the required ventilation volume for the subway station concourse after each of the aforementioned divisions;

[0059] Step S54: Adjust the opening of the air duct valve in each area according to the required ventilation volume of each area.

[0060] In this step, the required air volume varies depending on the congestion level of the area. The higher the congestion level, the higher the required air volume, and the larger the opening of the corresponding air duct valve.

[0061] Following step S5, steps S6, S7, S8, S9, and S10 are further included, which specifically include:

[0062] Step S6: Obtain video information, which includes video information of passengers arriving at the subway platform from the subway.

[0063] In this step, the video information is captured by surveillance equipment installed on the subway station platform.

[0064] Step S7: Extract video frame images from the video information that include at least two passengers;

[0065] Step S8: Perform facial emotion recognition on the video frame images to obtain the passenger's emotion recognition results;

[0066] In this step, the specific process of facial emotion recognition on video frame images is as follows: determine the feature points of each face in the video frame image; calculate the degree of change of each face based on the feature points of each face in the video frame image; determine the degree of change of the face corresponding to each face in the video frame image based on the degree of change of each face, and obtain the passenger's emotion recognition result.

[0067] It should be noted that there is a temperature difference between the air conditioning temperature inside the subway and the air conditioning temperature on the subway station platform. By analyzing the passenger's emotion recognition results, it is possible to determine whether the passenger is satisfied with the air conditioning temperature on the subway station platform, thereby judging whether the passenger is satisfied with the temperature environment of the subway station platform.

[0068] Step S9: Determine the passenger's satisfaction with the platform temperature based on the emotion recognition results to obtain satisfaction information;

[0069] Step S10: Determine the control strategy for the station platform ventilation and air conditioning system based on the satisfaction information.

[0070] In this embodiment, the station concourse and platform have different structures. The platform area is smaller than the concourse area, and passenger flow is more concentrated. Therefore, different control strategies are needed for the subway station concourse and platform. Existing technologies typically adjust the temperature of the subway station platform by setting a fixed target temperature, which cannot take into account the actual needs of passengers. Therefore, in this invention, facial recognition using video images can analyze the degree of passenger emotional changes, determine whether passengers are satisfied with the temperature environment of the subway station platform, and determine whether the ventilation and air conditioning system needs to be adjusted to meet passenger needs. This achieves the goal of energy-saving control while ensuring passenger satisfaction.

[0071] Step S10 further includes steps S101, S102, S103, S104, and S105, which specifically include:

[0072] Step S101: Calculate the average passenger satisfaction based on the satisfaction information corresponding to each video frame image, and obtain the calculation result;

[0073] In this step, since there are multiple video frame images on the platform, it is necessary to calculate the average of the satisfaction information corresponding to each video frame image in order to accurately reflect whether the overall passengers are satisfied with the current temperature environment.

[0074] Step S102: Determine whether the average satisfaction value is less than a preset satisfaction threshold, and obtain the determination result;

[0075] Step S103: Determine the target temperature of the platform based on the judgment result;

[0076] In this step, if the average satisfaction level is less than the preset satisfaction threshold, it indicates that passengers are not satisfied with the current temperature environment and the target temperature of the platform needs to be adjusted; if the average satisfaction level is not less than the preset satisfaction threshold, it indicates that the target temperature of the platform does not need to be modified.

[0077] Step S104: Determine the air supply volume of the ventilation and air conditioning system based on the target temperature of the platform;

[0078] In this step, the specific process for determining the air supply volume of the ventilation and air conditioning system is as follows: obtaining the heat load information of the equipment; determining the passenger flow of the platform based on the video information; determining the heat load information of the passengers based on the passenger flow of the platform; determining the total heat load information based on the heat load information of the equipment and the heat load information of the passengers; and determining the air supply volume of the ventilation and air conditioning system based on the total heat load information.

[0079] Step S105: Adjust the ventilation and air conditioning system of the station platform according to the air supply volume of the ventilation and air conditioning system.

[0080] In this step, adjusting the ventilation and air conditioning system of the station platform also includes determining the difference between the outdoor temperature and the subway station platform temperature. If the outdoor temperature is lower than the subway station platform temperature, the ventilation system is activated first. It is then determined whether the air volume introduced by the ventilation system can modify the subway station platform temperature to the target temperature. If not, the air conditioning system is activated to adjust the subway station platform temperature.

[0081] Example 2:

[0082] like Figure 2As shown, this embodiment provides an energy-saving control system for a subway station ventilation and air conditioning system. The system includes a first acquisition module 901, a first processing module 902, a second processing module 903, a third processing module 904, and a fourth processing module 905, specifically including:

[0083] The first acquisition module 901 is used to acquire first information and second information. The first information includes spatial layout information of the subway station, and the second information includes motion trajectory information of passengers captured in the subway station.

[0084] The first processing module 902 is used to determine the motion characteristics of each passenger based on the first information and the second information, and obtain the third information;

[0085] The second processing module 903 is used to determine the location information of each passenger at each moment based on the third information, and obtain the fourth information, which includes the passenger density in the subway station hall.

[0086] The third processing module 904 is used to divide the subway station concourse according to the fourth information to obtain the subway station concourse after the division of the area.

[0087] The fourth processing module 905 is used to perform zone control on the subway station concourse after the area is divided, and to obtain the control strategy of the station concourse ventilation and air conditioning system.

[0088] In one specific embodiment of this disclosure, the first processing module includes a first processing unit, a second processing unit, a third processing unit, and a fourth processing unit, specifically including:

[0089] The first processing unit is used to divide the subway station into grids to obtain a two-dimensional grid map of the subway station.

[0090] The second processing unit is used to determine at least one node information on a two-dimensional grid map corresponding to the subway station based on the passenger movement trajectory information captured by the subway station. The node information includes connection nodes between different rooms in the subway.

[0091] The third processing unit is used to determine the center coordinates of each grid in the room and obtain at least one center coordinate information.

[0092] The fourth processing unit is used to calculate the distance between each of the center coordinates and the corresponding node information to obtain the desired direction of the passenger's walking.

[0093] In one specific embodiment of this disclosure, the second processing module includes a fifth processing unit, a sixth processing unit, and a seventh processing unit, specifically comprising:

[0094] The fifth processing unit is used to construct at least one Thiessen polygon based on the location information of each passenger at each time.

[0095] The sixth processing unit is used to calculate the density information of each Thiessen polygon.

[0096] The seventh processing unit is used to determine the passenger density in different areas of the subway station hall based on the density information of each Thiessen polygon.

[0097] In one specific embodiment of this disclosure, the fourth processing module includes an eighth processing unit, a ninth processing unit, a tenth processing unit, and an eleventh processing unit, specifically comprising:

[0098] The eighth processing unit is used to determine the congestion level of different areas of the station hall based on the fourth information, and to obtain the congestion level.

[0099] The ninth processing unit is used to divide the station hall according to the congestion level to obtain the subway station hall after the division of the area;

[0100] The tenth processing unit is used to determine the required ventilation volume of the subway station concourse after each of the aforementioned division zones;

[0101] The eleventh processing unit is used to adjust the opening of the air duct valves in each area according to the required ventilation volume of each area.

[0102] In one specific embodiment of this disclosure, the fourth processing module is followed by a second acquisition module, a fifth processing module, a sixth processing module, a seventh processing module, and an eighth processing module, specifically including:

[0103] The second acquisition module is used to acquire video information, including video information of passengers arriving at the subway platform from the subway.

[0104] The fifth processing module is used to extract video frame images corresponding to at least two passengers from the video information;

[0105] The sixth processing module is used to perform facial emotion recognition on the video frame images to obtain the passenger's emotion recognition results;

[0106] The seventh processing module is used to determine the passenger's satisfaction with the platform temperature based on the emotion recognition results, and obtain satisfaction information.

[0107] The eighth processing module is used to determine the control strategy of the station platform ventilation and air conditioning system based on the satisfaction information.

[0108] In one specific embodiment of this disclosure, the eighth processing module includes a calculation unit, a judgment unit, a twelfth processing unit, a thirteenth processing unit, and a fourteenth processing unit, specifically including:

[0109] The calculation unit is used to calculate the average passenger satisfaction based on the satisfaction information corresponding to each video frame image, and obtain the calculation result.

[0110] The judgment unit is used to determine whether the average satisfaction value is less than a preset satisfaction threshold, and to obtain a judgment result;

[0111] The twelfth processing unit is used to determine the target temperature of the platform based on the judgment result.

[0112] The thirteenth processing unit is used to determine the air supply volume of the ventilation and air conditioning system based on the target temperature of the platform.

[0113] The fourteenth processing unit is used to adjust the ventilation and air conditioning system of the station platform according to the air supply volume of the ventilation and air conditioning system.

[0114] It should be noted that the specific methods by which each module performs operations in the system described in the above embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0115] Example 3:

[0116] Corresponding to the above method embodiments, this embodiment also provides an energy-saving control device for a subway station ventilation and air conditioning system. The energy-saving control device for a subway station ventilation and air conditioning system described below can be referred to in correspondence with the energy-saving control method for a subway station ventilation and air conditioning system described above.

[0117] Figure 3 This is a block diagram illustrating an energy-saving control device 800 for a subway station ventilation and air conditioning system, according to an exemplary embodiment. Figure 3 As shown, the energy-saving control device 800 for the subway station ventilation and air conditioning system may include: a processor 801 and a memory 802. The energy-saving control device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0118] The processor 801 controls the overall operation of the energy-saving control device 800 for the subway station ventilation and air conditioning system to complete all or part of the steps in the aforementioned energy-saving control method for the subway station ventilation and air conditioning system. The memory 802 stores various types of data to support the operation of the energy-saving control device 800 for the subway station ventilation and air conditioning system. This data may include, for example, instructions for any application or method operating on the energy-saving control device 800 for the subway station ventilation and air conditioning system, as well as application-related data such as contact data, sent and received messages, images, audio, video, etc. The memory 802 can be implemented using any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touchscreen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. I / O interface 804 provides an interface between processor 801 and other interface modules, such as keyboards, mice, and buttons. These buttons can be virtual or physical. Communication component 805 is used for wired or wireless communication between the energy-saving control device 800 of the subway station ventilation and air conditioning system and other devices. Wireless communication includes, for example, Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination thereof. Therefore, the corresponding communication component 805 may include a Wi-Fi module, a Bluetooth module, and an NFC module.

[0119] In an exemplary embodiment, the energy-saving control device 800 for the subway station ventilation and air conditioning system can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the aforementioned energy-saving control method for the subway station ventilation and air conditioning system.

[0120] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, which, when executed by a processor, implement the steps of the above-described energy-saving control method for a subway station ventilation and air conditioning system. For example, the computer-readable storage medium may be the memory 802 including program instructions, which may be executed by the processor 801 of the subway station ventilation and air conditioning system energy-saving control device 800 to complete the above-described energy-saving control method for a subway station ventilation and air conditioning system.

[0121] Example 4:

[0122] Corresponding to the above method embodiments, this embodiment also provides a readable storage medium. The readable storage medium described below can be referred to in conjunction with the energy-saving control method for a subway station ventilation and air conditioning system described above.

[0123] A readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the energy-saving control method for the subway station ventilation and air conditioning system described in the above method embodiments.

[0124] Specifically, the readable storage medium can be a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, or any other readable storage medium capable of storing program code.

[0125] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0126] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An energy-saving control method for a subway station ventilation and air conditioning system, characterized in that, The method includes: Acquire first information and second information, wherein the first information includes spatial layout information of the subway station and the second information includes motion trajectory information of passengers captured inside the subway station; Based on the first and second information, the motion characteristics of each passenger are determined, and the third information is obtained. Based on the third information, the location information of each passenger at each moment is determined, and the fourth information is obtained, which includes the passenger density in the subway station hall; The subway station concourse is divided according to the fourth information to obtain the subway station concourse after the division of areas; By performing zoned control on the subway station concourse after the area is divided, a control strategy for the station concourse ventilation and air conditioning system is obtained. The control strategy for the station concourse ventilation and air conditioning system is obtained by dividing the subway station concourse into zones and implementing zoned control, including: Based on the fourth piece of information, the degree of congestion in different areas of the station hall is determined, and the congestion level is obtained. The station hall is divided according to the congestion level to obtain the subway station hall after the division of the area; Determine the required ventilation volume for the subway station concourse after each of the aforementioned division zones; Adjust the opening degree of the air duct valves in each area according to the required ventilation volume of each area; The process of implementing zoned control of the subway station concourse after dividing it into zones, and obtaining the control strategy for the station concourse ventilation and air conditioning system, further includes: Acquire video information, including video information of passengers arriving at the subway platform from the subway; Extract video frame images corresponding to at least two passengers from the video information; Facial emotion recognition is performed on the video frame images to obtain the passenger's emotion recognition results; Based on the emotion recognition results, passenger satisfaction with the platform temperature is determined, and satisfaction information is obtained. The control strategy for the station platform ventilation and air conditioning system is determined based on the satisfaction information.

2. The energy-saving control method for the ventilation and air conditioning system of a subway station according to claim 1, characterized in that, Based on the first information and the second information, the motion characteristics of each passenger are determined, including: The subway stations are divided into grids to obtain a two-dimensional grid map of the subway stations. Based on the passenger movement trajectory information captured by the subway station, at least one node information is determined on the two-dimensional grid map corresponding to the subway station. The node information includes the connection node between different rooms in the subway. Determine the center coordinates of each grid within the room to obtain at least one center coordinate information; Calculate the distance between each center coordinate and the corresponding node information to obtain the passenger's desired walking direction.

3. The energy-saving control method for the ventilation and air conditioning system of a subway station according to claim 1, characterized in that, The location information of each passenger at each moment is determined based on the third information, including: Construct at least one Thiessen polygon based on the location information of each passenger at each time point; The density information of each Thiessen polygon is calculated. The passenger density in different areas of the subway station hall is determined based on the density information of each Thiessen polygon.

4. The energy-saving control method for the ventilation and air conditioning system of a subway station according to claim 1, characterized in that, Based on the aforementioned satisfaction information, the control strategy for the station platform ventilation and air conditioning system is determined, including: The average passenger satisfaction score is calculated based on the satisfaction information corresponding to each video frame image, and the calculation result is obtained. Determine whether the average satisfaction value is less than a preset satisfaction threshold to obtain the determination result; The target temperature of the platform is determined based on the judgment result. The air supply volume of the ventilation and air conditioning system is determined based on the target temperature of the platform. Adjust the ventilation and air conditioning system of the station platform according to the air supply volume of the ventilation and air conditioning system.

5. An energy-saving control system for a subway station ventilation and air conditioning system, characterized in that, The system includes: The first acquisition module is used to acquire first information and second information. The first information includes spatial layout information of the subway station, and the second information includes motion trajectory information of passengers captured in the subway station. The first processing module is used to determine the motion characteristics of each passenger based on the first information and the second information, and to obtain the third information; The second processing module is used to determine the location information of each passenger at each moment based on the third information, and to obtain the fourth information, which includes the passenger density in the subway station hall. The third processing module is used to divide the subway station concourse according to the fourth information to obtain the subway station concourse after the division of areas; The fourth processing module is used to perform zone control on the subway station concourse after the area is divided, and to obtain the control strategy of the station concourse ventilation and air conditioning system. The fourth processing module includes: The eighth processing unit is used to determine the congestion level of different areas of the station hall based on the fourth information, and to obtain the congestion level. The ninth processing unit is used to divide the station hall according to the congestion level to obtain the subway station hall after the division of the area; The tenth processing unit is used to determine the required ventilation volume of the subway station concourse after each of the aforementioned division zones; The eleventh processing unit is used to adjust the opening of the air duct valves in each area according to the required ventilation volume of each area; The fourth processing module is followed by: The second acquisition module is used to acquire video information, including video information of passengers arriving at the subway platform from the subway. The fifth processing module is used to extract video frame images corresponding to at least two passengers from the video information; The sixth processing module is used to perform facial emotion recognition on the video frame images to obtain the passenger's emotion recognition results; The seventh processing module is used to determine the passenger's satisfaction with the platform temperature based on the emotion recognition results, and obtain satisfaction information. The eighth processing module is used to determine the control strategy of the station platform ventilation and air conditioning system based on the satisfaction information.

6. The energy-saving control system for the ventilation and air conditioning system of a subway station according to claim 5, characterized in that, The first processing module includes: The first processing unit is used to divide the subway station into grids to obtain a two-dimensional grid map of the subway station. The second processing unit is used to determine at least one node information on a two-dimensional grid map corresponding to the subway station based on the passenger movement trajectory information captured by the subway station. The node information includes connection nodes between different rooms in the subway. The third processing unit is used to determine the center coordinates of each grid in the room and obtain at least one center coordinate information. The fourth processing unit is used to calculate the distance between each of the center coordinates and the corresponding node information to obtain the desired direction of the passenger's walking.

7. The energy-saving control system for the ventilation and air conditioning system of a subway station according to claim 5, characterized in that, The second processing module includes: The fifth processing unit is used to construct at least one Thiessen polygon based on the location information of each passenger at each time. The sixth processing unit is used to calculate the density information of each Thiessen polygon. The seventh processing unit is used to determine the passenger density in different areas of the subway station hall based on the density information of each Thiessen polygon.

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