Real-time energy-saving control method and device for central air conditioner and readable storage medium

Abstract

The invention provides a real-time energy-saving control method and device for a central air conditioner and a readable storage medium. The method comprises the steps that real-time position information of personnel in an area where the central air conditioner acts is obtained; according to the real-time position information of the personnel, the number of the personnel in each sub-area in the area where the central air conditioner acts is determined, and each sub-area correspondingly has at least one central air conditioner air outlet; central air conditioner control parameters of the corresponding sub-areas are determined according to the number of people in each sub-area; and the movement information of the personnel is obtained in real time, and the central air conditioner control parameters of all the sub-areas are adjusted in real time based on the movement information of the personnel. An intelligent air conditioner control strategy is adopted, the air speed of the air conditioner is intelligently adjusted according to the position of the person and motion prediction, the dynamic control method can optimize energy consumption, and meanwhile the comfort degree of the environment is kept.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and in particular to a central air-conditioning real-time energy-saving control method, device and readable storage medium. Background Art

[0002] The central air conditioning real-time energy-saving control strategy is an intelligent control method designed for the central air conditioning system in buildings. It aims to minimize energy consumption by optimizing the operating parameters and adjustment strategies of the air conditioning system, thereby achieving the goal of energy conservation and emission reduction. Central air conditioning systems account for a large proportion of energy consumption in the building field, so improving the energy efficiency of central air conditioning systems has become an important issue.

[0003] The continuous advancement of sensor technology has made the real-time monitoring of various environmental parameters more accurate and convenient. The rapid development of artificial intelligence has also made the application of intelligent control technology more and more extensive in various fields. Sensors and other equipment can transmit various environmental parameters to the central air-conditioning control system in real time, thereby realizing real-time monitoring of the operating status of the air-conditioning system. The air-conditioning control system uses artificial intelligence technology and takes these environmental parameters as input. It realizes intelligent control of the air-conditioning system by real-time monitoring and analysis of building environmental parameters, user needs and other data.

[0004] However, for special scenarios, such as closed spaces, the existing air-conditioning control accuracy is low, resulting in poor energy-saving control effects. Summary of the invention

[0005] The technical problem to be solved by the present application is to provide a central air-conditioning real-time energy-saving control method, device and readable storage medium to solve the problems existing in the prior art in view of the above-mentioned deficiencies in the prior art.

[0006] In the first aspect, the present application provides a central air conditioner real-time energy-saving control method.

[0007] The methods include:

[0008] S1. Obtain the real-time location information of people in the area where the central air conditioner is used;

[0009] S2. Determine the number of people in each sub-area of ​​the area where the central air conditioner is applied based on the real-time location information of the people, wherein each sub-area corresponds to at least one central air conditioner outlet;

[0010] S3, determining the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area;

[0011] S4. Acquire the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of personnel.

[0012] In some embodiments, S2 includes:

[0013] Get the location information of the central air-conditioning outlet;

[0014] According to the real-time location information of the personnel and the location information of the central air-conditioning outlet, the personnel and the central air-conditioning outlet are clustered by a clustering algorithm to obtain the number of personnel in each sub-area in the area where the central air-conditioning is applied.

[0015] In some embodiments, S3 includes:

[0016] When the number of people in the sub-area is within a first preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a first temperature range, and / or the wind speed is a first wind speed;

[0017] When the number of people in the sub-area is within the second preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within the second temperature range, and / or the wind speed is the second wind speed;

[0018] When the number of people in the sub-area is within a third preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a third temperature range, and / or the wind speed is a third wind speed;

[0019] Among them, the values ​​of the first preset range, the second preset range, and the third preset range increase successively, the values ​​of the first temperature range, the second temperature range, and the third temperature range decrease successively, and the values ​​of the first wind speed, the second wind speed, and the third wind speed increase successively.

[0020] In some embodiments, in S4, obtaining the movement information of the person in real time includes:

[0021] Construct a two-dimensional coordinate system based on the area where the central air conditioner is used;

[0022] Acquire at least two frames of images of a person at different times within a preset interval;

[0023] According to the at least two frames of images, the movement direction of the person is predicted by using the YOLOv8 model to obtain a movement direction vector of the person in the two-dimensional coordinate system.

[0024] In some embodiments, it also includes:

[0025] The movement direction vector of the person in the two-dimensional coordinate system is corrected to obtain a corrected movement direction vector.

[0026] In some embodiments, the y-axis direction of the two-dimensional coordinate system is the direction of the aisle in which people can move within the area where the central air conditioner is used;

[0027] Correcting the movement direction vector of the person in the two-dimensional coordinate system to obtain a corrected movement direction vector includes:

[0028] If the person's motion direction vector is parallel to the y-axis, no correction is performed;

[0029] If the angle between the movement direction vector of the person and the positive direction of the x-axis of the two-dimensional coordinate system is an obtuse angle, the movement direction vector is corrected to be parallel to the negative direction of the x-axis;

[0030] If the angle between the movement direction vector of the person and the positive direction of the x-axis is an acute angle, the movement direction vector is corrected to be parallel to the positive direction of the x-axis.

[0031] In some embodiments, in S4, adjusting the central air conditioning control parameters of each sub-area in real time based on the movement information of the personnel includes:

[0032] Based on the movement information of the personnel, determining the number of personnel changes in each sub-area;

[0033] Re-determine the number of personnel in each sub-region based on the number of personnel changes in each sub-region;

[0034] According to the re-determined number of people in each sub-area, the central air-conditioning control parameters of each sub-area are adjusted in real time.

[0035] In a second aspect, the present application provides a central air conditioner real-time energy-saving control device, the device comprising:

[0036] A real-time location acquisition module, which is configured to acquire real-time location information of people in the area where the central air conditioner is used;

[0037] A personnel quantity determination module, which is configured to determine the number of personnel in each sub-area of ​​the area where the central air conditioner is applied based on the real-time location information of the personnel, wherein each sub-area corresponds to at least one central air conditioner outlet;

[0038] A control parameter determination module, which is configured to determine the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area;

[0039] The control parameter adjustment module is configured to obtain the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of the personnel.

[0040] In a third aspect, the present application provides a central air-conditioning real-time energy-saving control device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the central air-conditioning real-time energy-saving control method described in the first aspect above.

[0041] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the central air-conditioning real-time energy-saving control method described in the first aspect is implemented.

[0042] The present application provides a central air-conditioning real-time energy-saving control method, device and readable storage medium, the method comprising: obtaining the real-time location information of personnel in the area where the central air-conditioning is applied; determining the number of personnel in each sub-area of ​​the area where the central air-conditioning is applied based on the real-time location information of the personnel, wherein each sub-area corresponds to at least one central air-conditioning outlet; determining the central air-conditioning control parameters of the corresponding sub-area based on the number of personnel in each sub-area; obtaining the movement information of the personnel in real time, and adjusting the central air-conditioning control parameters of each sub-area in real time based on the movement information of the personnel. The present application uses artificial intelligence technologies such as target recognition and clustering algorithms to propose a real-time energy-saving control strategy for central air-conditioning in a closed space based on deep learning technologies such as clustering algorithms and target detection, models the closed space and takes the air outlet of the central air-conditioning in the space into account during the modeling process, and uses target detection technology to apply a real-time control strategy to the air-conditioning outlet according to the number, position and movement direction of indoor personnel, and reduces the computational overhead of target detection based on physical constraints of the closed space, clustering algorithms and other technologies. This application adopts an intelligent air conditioning control strategy to intelligently adjust the air conditioning wind speed based on occupant location and movement prediction. This dynamic control method can optimize energy consumption while maintaining environmental comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] Figure 1 A flow chart of a central air conditioner real-time energy-saving control method provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of modeling a closed space provided for an embodiment of the application;

[0046] Figure 3 A schematic diagram of motion direction vector correction provided in an embodiment of the application;

[0047] Figure 4 A schematic diagram of the structure of a central air-conditioning real-time energy-saving control device provided in an embodiment of the present application;

[0048] Figure 5 A schematic diagram of the structure of another central air-conditioning real-time energy-saving control device provided in an embodiment of the present application.

[0049] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0050] In order to enable those skilled in the art to better understand the technical solution of the present application, the implementation mode of the present application will be further described in detail below with reference to the accompanying drawings.

[0051] It should be understood that the specific embodiments and drawings described herein are only used to explain the present application, rather than to limit the present application.

[0052] It can be understood that, in the absence of conflict, the various embodiments in the present application and the various features in the embodiments can be combined with each other.

[0053] It can be understood that, for the convenience of description, the drawings of the present application only show the parts related to the present application, while the parts unrelated to the present application are not shown in the drawings.

[0054] It can be understood that each unit and module involved in the embodiments of the present application may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple units and modules may be integrated into one physical structure.

[0055] It can be understood that the terms "first", "second", etc. in the embodiments of the present application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0056] It is understandable that, in the absence of conflict, the functions and steps marked in the flowcharts and block diagrams of the present application may occur in an order different from that marked in the drawings.

[0057] It is understood that the flowcharts and block diagrams of the present application illustrate the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present application. Among them, each box in the flowchart or block diagram may represent a unit, module, program segment, code, which contains executable instructions for implementing the specified functions. Moreover, each box or combination of boxes in the block diagram and flowchart may be implemented by a hardware-based system that implements the specified functions, or by a combination of hardware and computer instructions.

[0058] It can be understood that the units and modules involved in the embodiments of the present application can be implemented by software or hardware, for example, the units and modules can be located in a processor.

[0059] In the prior art, the air conditioning control method is, for example:

[0060] (1) Based on the improved particle swarm algorithm, the energy-saving optimization control of the central air-conditioning system is established, with the minimum total energy consumption of the central air-conditioning system as the goal, and the upper and lower limits of each variable, the coupling relationship between equipment, energy conservation, etc. as constraints. The real-time required cooling load and indoor set temperature are taken as known quantities, each decision variable is taken as input, and the total energy consumption of the central air-conditioning system is taken as output, reducing the complexity of the model;

[0061] (2) Based on the improved particle swarm algorithm with dynamic weight coefficient and acceleration factor, the decision variables are collaboratively optimized to search for the optimal solution of the energy-saving optimization model of the central air-conditioning system.

[0062] However, existing air conditioning control strategies often rely on intelligent control algorithms such as fuzzy control (PID), particle swarm optimization (PSO), and genetic algorithms. Among them, the PID method often only performs simple fuzzy processing on environmental information, resulting in reduced control accuracy of the air conditioning system and inability to accurately control parameters such as the air conditioning operating time and wind speed; the use of particle swarm algorithms or genetic algorithms usually makes it difficult to iterate and search for the optimal value due to genetic operator selection problems.

[0063] In addition, due to the obvious flow of people in closed spaces (such as laboratories) and the different numbers of air outlets for air conditioners, traditional control methods do not take into account factors such as the number and position of indoor people and the number and position of air outlets. As a result, traditional control methods cannot model the closed environment well, and cannot apply control strategies to a specific air outlet in the closed space and control the air conditioning parameters according to the number of indoor people.

[0064] In addition, if combined with deep learning methods such as target detection, the target recognition technology that takes into account the real-time number and location of indoor occupants has a high computational overhead. Its application in the real-time control strategy of central air conditioning requires optimization based on factors such as physical constraints in closed spaces to reduce computational overhead.

[0065] Based on the above problems, this application uses artificial intelligence technologies such as target recognition and clustering algorithms to propose a real-time energy-saving control strategy for central air conditioners in closed spaces based on deep learning technologies such as clustering algorithms and target detection. The closed space is modeled and the air outlets of the central air conditioners in the space are taken into account during the modeling process. At the same time, target detection technology is used to apply real-time control strategies to the air outlets of the air conditioners according to the number, position, and movement direction of indoor people. At the same time, the physical constraints of the closed space, clustering algorithms and other technologies are used to reduce the computational overhead of target detection.

[0066] First, the hardware environment required to implement this application is explained.

[0067] The hardware environment of this application includes a surveillance camera and a server. The surveillance camera is responsible for capturing video data in a closed space in real time, while the server is used to process camera data, run the YOLOv8 model for personnel detection, execute clustering algorithms, and predict personnel movements. The surveillance camera needs to have sufficient resolution to clearly capture images of people in the laboratory, and the server needs to be equipped with a high-performance CPU and GPU to support high-speed computing.

[0068] The main concepts of this application include:

[0069] (1) Two-dimensional modeling and area division: First, two-dimensional space modeling of the laboratory is carried out, and the space area is divided with the air-conditioning outlet as the center. This step is to determine the key reference area and boundary for subsequent monitoring.

[0070] (2) Monocular camera ranging and two-dimensional coordinate conversion: The image captured by the monocular camera is used to locate the person and convert it into coordinates in a two-dimensional coordinate system.

[0071] (3) K-Means clustering algorithm: The clustering algorithm is applied to cluster the personnel distribution in order to estimate the number of people in each area.

[0072] (4) YOLOv8 model motion prediction: The YOLOv8 model is used to predict the movement direction of people in the laboratory and correct the movement direction vector to conform to the actual situation of the laboratory physical space.

[0073] (5) Movement direction correction and area switching prediction: Based on the corrected movement direction, it is predicted whether a person is about to move from one area to another, and the wind speed of the central air-conditioning outlet is adjusted accordingly to achieve intelligent control of the environment.

[0074] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0075] The present application provides a real-time energy-saving control method for a central air conditioner. The working process of the method can be implemented by electronic devices, such as computers, handheld smart terminals, etc. For the convenience of explanation, the embodiments of the present application are described with the method execution subject being a computer.

[0076] Figure 1 A schematic diagram of a central air-conditioning real-time energy-saving control method provided in an embodiment of the present application, such as Figure 1As shown, the present application provides a central air conditioner real-time energy-saving control method, the method includes S1-S4, which are as follows:

[0077] S1. Obtain the real-time location information of people in the area where the central air conditioner is used;

[0078] In this application, the area where the central air-conditioning is applied is a closed space, such as a laboratory, and the closed space is modeled first.

[0079] For example, Figure 2 A schematic diagram of a closed space modeling provided for an embodiment of the application, such as Figure 2 As shown in the figure, the area where the central air-conditioning works is composed of multiple sub-areas. The diamond icons in the sub-areas are the locations of the central air-conditioning outlets. A two-dimensional model is performed on the laboratory as a closed space, and each air-conditioning outlet is used as the center to divide the laboratory into 9 equal-sized areas.

[0080] Then, the origin of the coordinates is selected, and a rectangular coordinate system is constructed in the two-dimensional space of the laboratory to obtain the coordinates of the four boundary points of the two-dimensional space of the laboratory, (x tl ,y tl )、(x tr ,y tr )、(x bl ,y bl )、(x br ,y br ), where the four coordinates correspond to the upper left, upper right, lower left, and lower right points. The bottom, top, left and right boundaries of region i are recorded in the form of .

[0081] The coordinate origin may be the location of a device for acquiring the location of a person, such as the location of a monocular camera (the dot position in the figure).

[0082] Then, using a ranging algorithm (such as a monocular camera ranging), the real-time positions of all personnel in the laboratory are converted into two-dimensional coordinates (x i ,y i ).

[0083] Optionally, other methods may be used to locate personnel, such as infrared positioning, sound wave positioning, etc.

[0084] S2. Determine the number of people in each sub-area of ​​the area where the central air conditioner is applied based on the real-time location information of the people, wherein each sub-area corresponds to at least one central air conditioner outlet;

[0085] In some embodiments, S2 includes:

[0086] Get the location information of the central air-conditioning outlet;

[0087] According to the real-time location information of the personnel and the location information of the central air-conditioning outlet, the personnel and the central air-conditioning outlet are clustered by a clustering algorithm to obtain the number of personnel in each sub-area in the area where the central air-conditioning is applied.

[0088] Specifically, the real-time location information of the above personnel is divided into multiple clusters using the clustering algorithm K-Means, so that the sum of the square distances between each coordinate point and its assigned cluster center (the location information of the central air-conditioning outlet) is minimized, that is, the variance of the internal cluster is minimized. After obtaining the coordinates of each cluster center, it is compared with the divided area boundary to determine the sub-area where the cluster is located, and the number of personnel in all clusters contained in each area is counted to determine the number of personnel in each sub-area.

[0089] S3, determining the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area;

[0090] In some embodiments, S3 includes:

[0091] When the number of people in the sub-area is within a first preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a first temperature range, and / or the wind speed is a first wind speed;

[0092] When the number of people in the sub-area is within the second preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within the second temperature range, and / or the wind speed is the second wind speed;

[0093] When the number of people in the sub-area is within a third preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a third temperature range, and / or the wind speed is a third wind speed;

[0094] Among them, the values ​​of the first preset range, the second preset range, and the third preset range increase successively, the values ​​of the first temperature range, the second temperature range, and the third temperature range decrease successively, and the values ​​of the first wind speed, the second wind speed, and the third wind speed increase successively.

[0095] Specifically, set the temperature and wind speed standards corresponding to different numbers of people, for example:

[0096] When the number of people in a sub-area is less than 5, the set temperature is 26°C and the wind speed is low.

[0097] When the number of people in the sub-area is between 5 and 10, the set temperature is 23°C and the wind speed is medium.

[0098] When the number of people in a sub-area exceeds 10, the set temperature is 20°C and the wind speed is high.

[0099] This application adopts an intelligent air-conditioning control strategy to intelligently adjust the air-conditioning wind speed according to the location of the personnel. This dynamic control method can optimize energy consumption while maintaining the comfort of the environment.

[0100] S4. Acquire the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of personnel.

[0101] In some embodiments, in S4, obtaining the movement information of the person in real time includes:

[0102] Construct a two-dimensional coordinate system based on the area where the central air conditioner is used;

[0103] Acquire at least two frames of images of a person at different times within a preset interval;

[0104] According to the at least two frames of images, the movement direction of the person is predicted by using the YOLOv8 model to obtain a movement direction vector of the person in the two-dimensional coordinate system.

[0105] Among them, at least two frames of images can be captured by the monocular camera in the aforementioned step.

[0106] Specifically, at any time t i ,Using the YOLOv8 model, through the comparison and operation between video frames, the movement direction of the person in the current space is predicted, and the movement direction vector mapped to the above two-dimensional coordinate system is obtained.

[0107] In some embodiments, it also includes:

[0108] The movement direction vector of the person in the two-dimensional coordinate system is corrected to obtain a corrected movement direction vector.

[0109] Specifically, since the laboratory has inherent physical space constraints, that is, personnel can only move in the aisle area, a correction process is also included to improve accuracy.

[0110] In some embodiments, the y-axis direction of the two-dimensional coordinate system is the direction of the aisle in which people can move within the area where the central air conditioner is used;

[0111] Correcting the movement direction vector of the person in the two-dimensional coordinate system to obtain a corrected movement direction vector includes:

[0112] If the person's motion direction vector is parallel to the y-axis, no correction is performed;

[0113] If the angle between the movement direction vector of the person and the positive direction of the x-axis of the two-dimensional coordinate system is an obtuse angle, the movement direction vector is corrected to be parallel to the negative direction of the x-axis;

[0114] If the angle between the movement direction vector of the person and the positive direction of the x-axis is an acute angle, the movement direction vector is corrected to be parallel to the positive direction of the x-axis.

[0115] Specifically, Figure 3 A schematic diagram of the motion direction vector correction provided in the application embodiment, such as Figure 3 As shown:

[0116] If the person's motion direction vector is parallel to the y-axis, no operation is performed. If the direction vector v1 is parallel to the y-axis, no correction is required;

[0117] If the angle between the movement direction of the person and the positive direction of the x-axis is an obtuse angle, then the vector is set to be parallel to the negative direction of the x-axis. For example, if the angle between the direction vector v2 and the positive direction of the x-axis is an obtuse angle, v3 is the direction vector after v2 is corrected.

[0118] If the angle between the person's movement direction and the positive direction of the x-axis is acute, then the vector is set to be parallel to the positive direction of the x-axis. For example, if the angle between the direction vector v4 and the positive direction of the x-axis is acute, v5 is the direction vector after v4 is corrected.

[0119] This application combines the motion direction prediction of YOLOv8 with the physical constraints of the physical space, uses the motion direction predicted by the YOLOv8 model in combination with the physical layout of the laboratory, and makes corrections according to predetermined rules, thereby achieving a close integration of virtual information and physical space.

[0120] In some embodiments, in S4, adjusting the central air conditioning control parameters of each sub-area in real time based on the movement information of the personnel includes:

[0121] Based on the movement information of the personnel, determining the number of personnel changes in each sub-area;

[0122] Re-determine the number of personnel in each sub-region based on the number of personnel changes in each sub-region;

[0123] According to the re-determined number of people in each sub-area, the central air-conditioning control parameters of each sub-area are adjusted in real time.

[0124] Specifically, after the correction is completed, the adjacent boundaries between the areas are used as the baseline to determine whether the person is going to move from one area to another. If so, the number of people in each sub-area is re-determined based on the number of personnel changes in each sub-area, and then the air outlets of the two areas are controlled to adjust the wind force.

[0125] In this step, by adjusting the control parameters in real time based on the movement direction vector of the person, it is possible to avoid energy waste while ensuring the normal air-conditioning experience of the person, thereby achieving energy-saving effect.

[0126] When adjusting the central air-conditioning control parameters of each sub-area in real time, the adjustment may be performed according to the solution in the aforementioned step S3, which will not be described in detail here.

[0127] This application adopts an intelligent air conditioning control strategy to intelligently adjust the air conditioning wind speed based on occupant location and movement prediction. This dynamic control method can optimize energy consumption while maintaining environmental comfort.

[0128] It should be understood that, although the various steps in the flowcharts in the above-described embodiments are sequentially displayed according to the indications of the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least a portion of the steps in the figure may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily to be carried out sequentially, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0129] Figure 4 A schematic diagram of a central air-conditioning real-time energy-saving control device provided in an embodiment of the present application, such as Figure 4 As shown, the present application provides a central air-conditioning real-time energy-saving control device, the device comprising:

[0130] A real-time location acquisition module 11, which is configured to acquire real-time location information of people in the area where the central air conditioner is used;

[0131] A personnel quantity determination module 12, which is configured to determine the number of personnel in each sub-area of ​​the area where the central air conditioner is applied based on the real-time position information of the personnel, wherein each sub-area corresponds to at least one central air conditioner outlet;

[0132] A control parameter determination module 13, which is configured to determine the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area;

[0133] The control parameter adjustment module 14 is configured to obtain the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of the personnel.

[0134] Regarding the limitation of the central air-conditioning real-time energy-saving control device, reference may be made to the limitation of the central air-conditioning real-time energy-saving control method in the above-mentioned embodiments of the present application, and this embodiment will not be repeated here.

[0135] Figure 5 Another schematic diagram of the central air-conditioning real-time energy-saving control device provided in the embodiment of the present application is as follows: Figure 5As shown, in some embodiments, the present application provides a central air-conditioning real-time energy-saving control device, including a memory 22 and a processor 21, the memory stores a computer program, and the processor is configured to run the computer program to execute the central air-conditioning real-time energy-saving control method in the above-mentioned embodiments of the present application.

[0136] The memory is connected to the processor, the memory may be a flash memory or a read-only memory or other memory, and the processor may be a central processing unit or a single-chip microcomputer.

[0137] In some embodiments, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the central air conditioning real-time energy-saving control method in the above-mentioned embodiments of the present application is implemented.

[0138] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, computer program modules or other data). Computer-readable storage media include, but are not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable read only memory), flash memory or other memory technology, CD-ROM (Compact Disc Read-Only Memory), digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0139] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present application, but the present application is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of the present application, and these modifications and improvements are also considered to be within the scope of protection of the present application.

Claims

1. A central air conditioner real-time energy-saving control method, characterized in that: The method comprises: S1. Obtain the real-time location information of people in the area where the central air conditioner is used; S2. Determine the number of people in each sub-area of ​​the area where the central air conditioner is applied based on the real-time location information of the people, wherein each sub-area corresponds to at least one central air conditioner outlet; S3, determining the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area; S4. Acquire the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of personnel.

2. The central air conditioner real-time energy-saving control method according to claim 1, characterized in that: S2, including: Get the location information of the central air-conditioning outlet; According to the real-time location information of the personnel and the location information of the central air-conditioning outlet, the personnel and the central air-conditioning outlet are clustered by a clustering algorithm to obtain the number of personnel in each sub-area in the area where the central air-conditioning is applied.

3. The central air conditioner real-time energy-saving control method according to claim 1, characterized in that: S3, including: When the number of people in the sub-area is within a first preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a first temperature range, and / or the wind speed is a first wind speed; When the number of people in the sub-area is within the second preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within the second temperature range, and / or the wind speed is the second wind speed; When the number of people in the sub-area is within a third preset range, determining that the central air-conditioning temperature of the corresponding sub-area is within a third temperature range, and / or the wind speed is a third wind speed; Among them, the values ​​of the first preset range, the second preset range, and the third preset range increase successively, the values ​​of the first temperature range, the second temperature range, and the third temperature range decrease successively, and the values ​​of the first wind speed, the second wind speed, and the third wind speed increase successively.

4. The central air conditioning real-time energy-saving control method according to claim 1, characterized in that: In S4, the movement information of personnel is obtained in real time, including: Construct a two-dimensional coordinate system based on the area where the central air conditioner is used; Acquire at least two frames of images of a person at different times within a preset interval; According to the at least two frames of images, the movement direction of the person is predicted by using the YOLOv8 model to obtain a movement direction vector of the person in the two-dimensional coordinate system.

5. The central air conditioner real-time energy-saving control method according to claim 4, characterized in that: Also includes: The movement direction vector of the person in the two-dimensional coordinate system is corrected to obtain a corrected movement direction vector.

6. The central air conditioner real-time energy-saving control method according to claim 5, characterized in that: The y-axis direction of the two-dimensional coordinate system is the direction of the aisle where people can move in the area where the central air conditioner is used; Correcting the movement direction vector of the person in the two-dimensional coordinate system to obtain a corrected movement direction vector includes: If the person's motion direction vector is parallel to the y-axis, no correction is performed; If the angle between the movement direction vector of the person and the positive direction of the x-axis of the two-dimensional coordinate system is an obtuse angle, the movement direction vector is corrected to be parallel to the negative direction of the x-axis; If the angle between the movement direction vector of the person and the positive direction of the x-axis is an acute angle, the movement direction vector is corrected to be parallel to the positive direction of the x-axis.

7. The central air conditioner real-time energy-saving control method according to claim 1, characterized in that: In S4, the central air conditioning control parameters of each sub-area are adjusted in real time based on the movement information of the personnel, including: Based on the movement information of the personnel, determining the number of personnel changes in each sub-area; Re-determine the number of personnel in each sub-region based on the number of personnel changes in each sub-region; According to the re-determined number of people in each sub-area, the central air-conditioning control parameters of each sub-area are adjusted in real time.

8. A central air conditioner real-time energy-saving control device, characterized in that: The device comprises: A real-time location acquisition module, which is configured to acquire real-time location information of people in the area where the central air conditioner is used; A personnel quantity determination module, which is configured to determine the number of personnel in each sub-area of ​​the area where the central air conditioner is applied based on the real-time location information of the personnel, wherein each sub-area corresponds to at least one central air conditioner outlet; A control parameter determination module, which is configured to determine the central air conditioning control parameters of the corresponding sub-area according to the number of people in each sub-area; The control parameter adjustment module is configured to obtain the movement information of personnel in real time, and adjust the central air-conditioning control parameters of each sub-area in real time based on the movement information of the personnel.

9. A central air conditioner real-time energy-saving control device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to implement the central air conditioner real-time energy-saving control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the central air-conditioning real-time energy-saving control method according to any one of claims 1 to 7 is implemented.

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