Energy-saving control method and equipment for central air conditioner and storage medium

Abstract

The invention discloses an energy-saving control method and device for a central air conditioner and a storage medium, and relates to the technical field of air conditioner control. The energy-saving control method comprises the steps that a movement track and a personnel activity area are obtained based on a human body infrared sensor; a temperature sensor is placed, and multiple temperature diffusion parameters of the central air conditioner are obtained; the central air conditioner is controlled based on the multiple temperature diffusion parameters; the energy-saving control method is used for solving the problems that in an existing energy-saving control method of the central air conditioner, when the personnel distribution or activity range in the space where the central air conditioner is located is fixed, the control opportunity of the central air conditioner cannot be accurately determined, so that the central air conditioner still operates at the original power after completing effective service for personnel, and the energy consumption is reduced. And the energy consumption is relatively high.

Description

Technical Field

[0001] The present invention relates to the technical field of air-conditioning control, and particularly to an energy-saving control method, device, and storage medium for central air conditioners. Background Art

[0002] A central air conditioner is an air-conditioning system composed of one or more cold and heat source systems and multiple air-conditioning systems. It is different from traditional refrigerant air conditioners and can centrally process air to meet the requirements of a comfortable environment. The energy-saving control of central air conditioners mainly includes intelligent temperature control, intelligent timing on and off, intelligent air volume adjustment, load prediction and optimal scheduling, and fault detection and warning.

[0003] In the existing energy-saving control methods for central air conditioners, usually after establishing a model based on various data of the central air conditioner, the existing data in the environment where the central air conditioner is located is input into the model to simulate the startup of the central air conditioner. The control method for the central air conditioner is obtained through the simulated data and the artificial intelligence model, so as to realize the control of the central air conditioner. Although this improved method can improve the accuracy and effectiveness of controlling the central air conditioner, when the personnel distribution or activity range in the space where the central air conditioner is located is relatively fixed, only based on environmental data for data simulation, it is impossible to accurately determine the control timing of the central air conditioner when it can effectively serve the personnel in the space. As a result, although the accuracy of controlling aspects such as the temperature, humidity, or operation duration of the central air conditioner can be improved, due to the inability to obtain the control timing of the central air conditioner, the central air conditioner still operates at the original power after effectively serving the personnel, resulting in a large energy consumption problem. For example, in the patent application with the publication number CN116085937A, an intelligent central air conditioner energy-saving control method and system are disclosed. This solution predicts the operation duration of the central air conditioner under the optimal working conditions in each actual situation through a duration prediction model to achieve precise and efficient control of the central air conditioner. Other improvements in the energy-saving control of central air conditioners are usually in terms of personnel flow. This improved method can only control the central air conditioner based on the personnel flow situation and still cannot solve the above-mentioned problems. In view of this, it is necessary to improve the existing energy-saving control methods for central air conditioners. Summary of the Invention

[0004] The present invention aims to at least partly solve one of the technical problems in the prior art. By providing an energy-saving control method, device, and storage medium for central air conditioners, it is used to solve the problem in the existing energy-saving control methods for central air conditioners that when the personnel distribution or activity range in the space where the central air conditioner is located is relatively fixed, it is impossible to accurately determine the control timing of the central air conditioner, resulting in the central air conditioner still operating at the original power after effectively serving the personnel, causing a large energy consumption problem.

[0005] To achieve the above object, in a first aspect, the present application provides an energy-saving control method for a central air conditioner, including the following steps: Denote the space where the central air conditioner adjusts the temperature as the temperature control space; denote the top-down plan view of the temperature control space as the temperature control plan view; obtain the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan view based on the movement trajectories; Place temperature sensors in the temperature control space based on the personnel activity area, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; Perform energy-saving control on the central air conditioner when it starts based on the multi-temperature diffusion parameters.

[0006] Further, obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtaining the personnel activity area in the temperature control plan view based on the movement trajectories includes: Obtain the size data of the temperature control plan view, establish a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being meters, and denote it as the plane analysis coordinate system; place the temperature control plan view in the first quadrant of the plane analysis coordinate system based on the size data of the temperature control plan view; Based on the human infrared sensor of the central air conditioner, obtain and store the movement trajectories of all personnel in the temperature control space, and divide the recorded trajectory data by day, and denote them as trajectory data GS1 to trajectory data GS c , where c is the number of days when the human infrared sensor of the central air conditioner records the movement trajectories of personnel in the temperature control space; For any one of the trajectory data GS v , draw all the movement trajectories in the trajectory data GS v in the temperature control plan view, and denote the movement trajectories in the temperature control plan view as to-be-analyzed trajectories DG1 to to-be-analyzed trajectories DG m , where v is a positive integer less than or equal to c and greater than or equal to 1.

[0007] Further, obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtaining the personnel activity area in the temperature control plan view based on the movement trajectories further includes: When there are no intersections among all the to-be-analyzed trajectories DG, for any one of the to-be-analyzed trajectories DG b , denote the two endpoints of the to-be-analyzed trajectory DG b as edge point A and edge point B respectively, and obtain the adjacent points of edge point A and edge point B respectively, where the adjacent point is the endpoint in the to-be-analyzed trajectory DG other than the to-be-analyzed trajectory DG b that is the closest to edge point A or edge point B, and b is a positive integer less than or equal to m and greater than or equal to 1; Obtain the edge points of all trajectories DG to be analyzed and the neighboring points of all edge points, connect the edge points with their corresponding neighboring points, and denote the line segment connecting the edge points with their corresponding neighboring points as the edge-neighbor line; When the area formed by all edge-neighbor lines and all trajectories DG to be analyzed is a closed area, denote the closed area as the personnel activity area; when the area formed by all edge-neighbor lines and all trajectories DG to be analyzed is a non-closed area, obtain the smallest circle in the plane analysis coordinate system that can enclose all edge-neighbor lines and all trajectories DG, and denote it as the trajectory enclosing circle; denote the area where the trajectory enclosing circle coincides with the temperature control floor plan as the personnel activity area.

[0008] Furthermore, obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensors of the central air conditioner, and obtaining the personnel activity area in the temperature control floor plan based on the movement trajectories further includes: When there are intersection points among all trajectories DG to be analyzed, denote the intersection points of the trajectories DG to be analyzed as trajectory intersection points; obtain the smallest circle in the plane analysis coordinate system that can enclose all trajectory intersection points, and denote it as the intersection point enclosing circle; denote the area where the intersection point enclosing circle coincides with the temperature control floor plan as the intersection point area; for any trajectory DG to be analyzed, denote the point on the trajectory DG that is farthest from the center of the intersection point area as the trajectory far point, draw tangents from the trajectory far point to the intersection point area, and denote the area between the two tangents and the intersection point area as the trajectory associated area; Obtain the trajectory associated areas of all trajectories DG to be analyzed; denote the area obtained by merging the trajectory areas of all trajectories DG to be analyzed and the intersection point area as the personnel activity area.

[0009] Furthermore, placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors includes: Obtain the position of the central air conditioner in the temperature control floor plan, and denote it as the air conditioner position; when the air conditioner position is within the personnel activity area, denote the point on the edge of the personnel activity area that is closest to and farthest from the air conditioner position as the diffusion near point and the diffusion far point respectively; denote the circle with the air conditioner position as the center and the line connecting the air conditioner position and the diffusion near point as the radius as the near point diffusion area, and denote the area in the personnel activity area that does not coincide with the near point diffusion area as the far point analysis area; When the air conditioner position is outside the personnel activity area, obtain any tangent line of the air conditioner position and the personnel activity area, and denote the intersection point of the tangent line and the personnel activity area as the empty tangent point; denote the circle with the air conditioner position as the center and the line connecting the air conditioner position and the empty tangent point as the radius as the far point diffusion circle; denote the area in the personnel activity area that does not coincide with the far point diffusion circle as the far point analysis area, and denote the area in the personnel activity area except the far point analysis area as the near point diffusion area.

[0010] Furthermore, placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors further includes: Denote the number of objects in the near-point diffusion area as z1, and the number of objects in the far-point analysis area as z2. Use the near-far diffusion algorithm to obtain the near-point sensing interval and the far-point sensing interval; the near-far diffusion algorithm is: , where F1 is the near-point sensing interval, F2 is the far-point sensing interval, L1 is the farthest distance from the air conditioner position in the near-point diffusion area, L2 is the farthest distance from the air conditioner position in the far-point analysis area, c1 is the number of trajectories DG to be analyzed in the near-point diffusion area, and c2 is the number of trajectories DG to be analyzed in the far-point analysis area; Denote any point in the near-point diffusion area that is farthest from the air conditioner position as D1, and denote the line connecting point D1 and the air conditioner position as the near-point sensing line. Obtain multiple points with an interval of the near-point sensing interval on the near-point sensing line, and denote them as near-point sensing points; denote any point in the far-point analysis area that is farthest from the air conditioner position as D2, and denote the line segment that is only in the far-point analysis area in the line connecting point D2 and the air conditioner position as the far-point sensing line. Obtain multiple points with an interval of the far-point sensing interval on the far-point sensing line, and denote them as far-point sensing points; Place temperature sensors at the near-point sensing points and far-point sensing points in the temperature control space, and denote the temperature sensors as temperature sensor WC1 to temperature sensor WC in order from near to far from the air conditioner position g .

[0011] Furthermore, placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors further includes: Establish a plane rectangular coordinate system, denoted as the temperature diffusion analysis coordinate system. Among them, the coordinate points on the X-axis of the temperature diffusion analysis coordinate system from the origin to the right are filled in with temperature sensor WC1 to temperature sensor WC g , the unit of the Y-axis of the temperature diffusion analysis coordinate system is time; for any temperature α that the central air conditioner can release, when the temperature of the temperature control space is temperature β, start timing from the temperature adjustment of the central air conditioner to temperature α, and respectively obtain the time when the measured values of temperature sensor WC1 to temperature sensor WC g change from temperature β to temperature α, and based on the timing result, punctuate in the temperature diffusion analysis coordinate system, and denote the punctuation as the temperature diffusion point, where temperature α and temperature β are different from each other, and denote the difference between temperature α and temperature β as γ; The point with the maximum ordinate and the point with the minimum ordinate among all temperature expansion points are respectively denoted as the late temperature point and the early temperature point; the difference between the ordinate of the late temperature point and the ordinate of the early temperature point is denoted as the temperature expansion time difference, and the value obtained by dividing the temperature expansion time difference by γ is denoted as the multi-temperature diffusion parameter of temperature α and temperature β. Obtain the multi-temperature diffusion parameters corresponding to all the temperatures that the central air conditioner can release and all the temperatures that can exist in the temperature control space.

[0012] Furthermore, the energy-saving control of the central air conditioner based on the multi-temperature diffusion parameter when the central air conditioner starts includes: When the central air conditioner starts, the temperature at which the central air conditioner starts is denoted as the real-time air conditioner temperature; the temperature sensors WC1 to WC g Obtain the temperature in the temperature control space in real time and denote it as the real-time space temperature; obtain the corresponding multi-temperature diffusion parameter based on the real-time air conditioner temperature and the real-time space temperature. Based on the calculation method of the multi-temperature diffusion parameter, obtain the time from the detection result of the temperature sensor WC1 being the real-time air conditioner temperature to the detection result of the temperature sensor WC g Being the real-time air conditioner temperature, and denote it as T; after the central air conditioner starts, when the detection result of the temperature sensor WC1 is the real-time air conditioner temperature, adjust the start state of the air conditioner to the energy-saving mode after T.

[0013] In a second aspect, the present application provides an electronic device, including a processor and a memory, where the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are run.

[0014] In a third aspect, the present application provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method are run.

[0015] Advantages of the present invention: The present application first denotes the space where the central air conditioner performs temperature adjustment as the temperature control space; denotes the top view plan of the temperature control space as the temperature control plan; obtains the movement trajectories of all personnel in the temperature control space based on the human body infrared sensor of the central air conditioner, and obtains the personnel activity area in the temperature control plan based on the movement trajectories. The advantage of this is that by obtaining the personnel activity area based on the movement trajectories in the temperature control space, the activity range of the personnel in the area affected by the central air conditioner can be obtained, which helps to provide data support for obtaining the control timing of the central air conditioner in subsequent analysis and makes the energy-saving regulation of the central air conditioner more accurate. This application also places temperature sensors in the temperature-controlled space based on the personnel's activity area, and obtains multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; finally, based on the multi-temperature diffusion parameters, energy-saving control is performed on the central air conditioner when it is started. The advantage of this is that by placing temperature sensors, relevant parameters for temperature control at different temperatures can be obtained when the central air conditioner controls the temperature of the personnel's activity range, so as to ensure that when energy-saving control is performed on the central air conditioner, the central air conditioner can completely cover the personnel's activity area, thereby realizing energy-saving control of the central air conditioner after it completes effective service for the personnel, so as to reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flowchart of the steps of the method of the present invention; Figure 2 It is a schematic diagram for obtaining the personnel activity area of the present invention; Figure 3 It is a schematic diagram for obtaining the far point analysis area and the near point diffusion area of the present invention; Figure 4 It is a schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0018] Embodiment 1, please refer to Figure 1 As shown, this application provides an energy-saving control method for a central air conditioner, including the following steps: Step S1, record the space regulated by the central air conditioner for temperature as the temperature-controlled space; record the top view plan of the temperature-controlled space as the temperature control plan; obtain the movement trajectories of all personnel in the temperature-controlled space based on the human infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan based on the movement trajectories; Step S1 includes: Step S101, obtain the size data of the temperature control plan, establish a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being meters, and record it as the plane analysis coordinate system; place the temperature control plan in the first quadrant of the plane analysis coordinate system based on the size data of the temperature control plan; Step S102, based on the human infrared sensor of the central air conditioner, obtain and store the movement trajectories of all personnel in the temperature-controlled space, and divide the recorded trajectory data by day, and record them as trajectory data GS1 to trajectory data GSc , where c is the number of days when the human body infrared sensor of the central air conditioner records the movement trajectories of people in the temperature-controlled space; In the specific implementation process, during actual analysis, the obtained temperature-controlled space and temperature control floor plan can be cut according to the actual activity areas of people, that is, the areas where people do not move are deleted to reduce the amount of data in subsequent analysis, thereby improving the data analysis efficiency; Step S103, for any trajectory data GS v , plot all the movement trajectories in the trajectory data GS v in the temperature control floor plan, and record the movement trajectories in the temperature control floor plan as the to-be-analyzed trajectory DG1 to the to-be-analyzed trajectory DG m , where v is a positive integer less than or equal to c and greater than or equal to 1; In the specific implementation process, for example, during a data analysis, the obtained temperature control floor plan is as shown in the area GS in Figure 2 , where DG1 to DG4 are the to-be-analyzed trajectories DG in the temperature control floor plan. It can be obtained through Figure 2 that all the to-be-analyzed trajectories DG have intersections. To ensure that the obtained human activity area can cover all the to-be-analyzed trajectories DG, the neighboring points and neighboring lines corresponding to the edge points of the to-be-analyzed trajectories DG can be obtained; it can be obtained through Figure 2 that the area BH formed by all the edge neighboring lines corresponding to DG1 to DG4 and all the to-be-analyzed trajectories DG is a closed area, then the closed area can be recorded as the human activity area to provide data support for subsequent analysis; Step S104, when there are no intersections in all the to-be-analyzed trajectories DG, for any to-be-analyzed trajectory DG b , record the two endpoints of the to-be-analyzed trajectory DG b as the edge point A and the edge point B respectively, and obtain the neighboring points of the edge point A and the edge point B respectively. The neighboring point is the endpoint in the to-be-analyzed trajectory DG other than the to-be-analyzed trajectory DG b that is the closest to the edge point A or the edge point B, and b is a positive integer less than or equal to m and greater than or equal to 1; Step S105, obtain the edge points of all the to-be-analyzed trajectories DG and the neighboring points of all the edge points, connect the edge point and the neighboring point corresponding to the edge point, and record the line segment connecting the edge point and the neighboring point corresponding to the edge point as the edge neighboring line; Step S106, when the region formed by all edge adjacent lines and all to-be-analyzed trajectories DG is a closed region, denote the closed region as the personnel activity region; when the region formed by all edge adjacent lines and all to-be-analyzed trajectories DG is a non-closed region, obtain the smallest circle in the plane analysis coordinate system that can enclose all edge adjacent lines and all to-be-analyzed trajectories DG, and denote it as the trajectory enclosing circle; denote the region where the trajectory enclosing circle coincides with the temperature control floor plan as the personnel activity region; Step S107, when there are intersection points among all to-be-analyzed trajectories DG, denote the intersection points of the to-be-analyzed trajectories DG as trajectory intersection points; obtain the smallest circle in the plane analysis coordinate system that can enclose all trajectory intersection points, and denote it as the intersection point enclosing circle; denote the region where the intersection point enclosing circle coincides with the temperature control floor plan as the intersection point region; for any to-be-analyzed trajectory DG, denote the point on the to-be-analyzed trajectory DG that is farthest from the center of the intersection point region as the trajectory far point, draw tangents from the trajectory far point to the intersection point region, and denote the region between the two tangents and the intersection point region as the trajectory associated region; In the specific implementation process, by obtaining the intersection point enclosing circle based on the trajectory intersection points, a region that is associated with all to-be-analyzed trajectories DG can be obtained, so that after obtaining the trajectory associated region corresponding to each to-be-analyzed trajectory DG based on the intersection point enclosing circle, the further obtained personnel activity region can be more accurate and effective; Step S108, obtain the trajectory associated regions of all to-be-analyzed trajectories DG; denote the region obtained by merging the trajectory regions of all to-be-analyzed trajectories DG and the intersection point region as the personnel activity region.

[0019] Step S2, place temperature sensors in the temperature control space based on the personnel activity region, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; Step S2 includes: Step S201, obtain the position of the central air conditioner in the temperature control floor plan, and denote it as the air conditioner position; when the air conditioner position is within the personnel activity region, denote the point on the edge of the personnel activity region that is closest to and farthest from the air conditioner position as the diffusion near point and the diffusion far point respectively; denote the circle with the air conditioner position as the center and the line connecting the air conditioner position and the diffusion near point as the radius as the near point diffusion region, and denote the region in the personnel activity region that does not coincide with the near point diffusion region as the far point analysis region; Step S202, when the air conditioner position is outside the personnel activity region, obtain any tangent of the air conditioner position and the personnel activity region, and denote the intersection point of the tangent and the personnel activity region as the empty tangent point; denote the circle with the air conditioner position as the center and the line connecting the air conditioner position and the empty tangent point as the radius as the far point diffusion circle; denote the region in the personnel activity region that does not coincide with the far point diffusion circle as the far point analysis region, and denote the region in the personnel activity region except the far point analysis region as the near point diffusion region; In the specific implementation process, for example, during a data analysis, the personnel activity area BH and the air conditioner position KW obtained are as follows Figure 3 shown. Through analysis, it can be obtained that the air conditioner position is outside the personnel activity area, and the point KY is the tangent point. Through analysis, it can be obtained that the area where YF is located in the personnel activity area is the far - point analysis area, and the area where JK is located is the near - point diffusion area; Step S203: Denote the number of objects in the near - point diffusion area as z1, and the number of objects in the far - point analysis area as z2. Use the near - far diffusion algorithm to obtain the near - point sensing interval and the far - point sensing interval. The near - far diffusion algorithm is as follows: , where F1 is the near - point sensing interval, F2 is the far - point sensing interval, L1 is the farthest distance from the air conditioner position in the near - point diffusion area, L2 is the farthest distance from the air conditioner position in the far - point analysis area, c1 is the number of trajectories DG to be analyzed in the near - point diffusion area, and c2 is the number of trajectories DG to be analyzed in the far - point analysis area; In the specific implementation process, for example, during a data analysis, the number of objects in the near - point diffusion area is 5, the number of objects in the far - point analysis area is 1, the farthest distance from the air conditioner position in the near - point diffusion area is 2 meters, the farthest distance from the air conditioner position in the far - point analysis area is 10 meters, the number of trajectories DG to be analyzed in the near - point diffusion area is 3, and the number of trajectories DG to be analyzed in the far - point analysis area is 2. Then, through calculation, the near - point sensing interval is 0.13, and the far - point sensing interval is 1; Step S204: Denote any point in the near - point diffusion area that is the farthest from the air conditioner position as D1, and denote the line connecting point D1 and the air conditioner position as the near - point sensing line. Obtain multiple points with an interval of the near - point sensing interval within the near - point sensing line, and denote them as near - point sensing points; Denote any point in the far - point analysis area that is the farthest from the air conditioner position as D2, and denote the line segment that is only within the far - point analysis area in the line connecting point D2 and the air conditioner position as the far - point sensing line. Obtain multiple points with an interval of the far - point sensing interval within the far - point sensing line, and denote them as far - point sensing points; Step S205: Place temperature sensors at the near - point sensing points and far - point sensing points in the temperature - controlled space, and denote the temperature sensors as temperature sensor WC1 to temperature sensor WC in order from near to far from the air conditioner position g ; In the specific implementation process, by obtaining the near - point sensing interval and the far - point sensing interval, and further placing temperature sensors, it is possible to obtain the interval distance of the temperature sensors based on the number of objects and the number of trajectories DG to be analyzed in the near - point diffusion area and the far - point analysis area, so as to ensure that the detection data of the temperature sensors can be more accurate and refined, and conform to the actual situation of the personnel activity area, providing more effective data support for subsequent analysis; Step S206: Establish a plane rectangular coordinate system, denoted as the temperature expansion analysis coordinate system. Among them, the coordinate points on the X-axis of the temperature expansion analysis coordinate system from the origin to the right are sequentially filled with temperature sensors WC1 to temperature sensor WC g , the unit of the Y-axis of the temperature expansion analysis coordinate system is time; for any temperature α that a central air conditioner can release, when the temperature of the temperature control space is temperature β, starting from the time when the central air conditioner adjusts the temperature to temperature α, respectively obtain the time when the measured values of temperature sensors WC1 to temperature sensor WC g change from temperature β to temperature α, and based on the timing result, mark points in the temperature expansion analysis coordinate system, and mark the marked points as temperature expansion points. Among them, temperature α and temperature β are different from each other, and the difference between temperature α and temperature β is denoted as γ; Step S207: Denote the point with the largest ordinate and the point with the smallest ordinate among all temperature expansion points as the late temperature point and the early temperature point respectively; denote the difference between the ordinate of the late temperature point and the ordinate of the early temperature point as the temperature expansion time difference, and denote the value obtained by dividing the temperature expansion time difference by γ as the multi-temperature diffusion parameter of temperature α and temperature β; In the specific implementation process, for example, in a data processing, the ordinates of the late temperature point and the early temperature point obtained are 10 min and 2 min respectively, and the difference between temperature α and temperature β is 16 °C. Then, through calculation, the multi-temperature diffusion parameter corresponding to temperature α and temperature β is 0.5; by obtaining all the temperatures that the central air conditioner can release corresponding to all the temperatures that can exist in the temperature control space, data support can be provided for all the situations when the central air conditioner starts in subsequent analysis, so that when the central air conditioner starts in any situation, energy-saving control can be effectively carried out; Step S208: Obtain the multi-temperature diffusion parameters corresponding to all the temperatures that the central air conditioner can release and all the temperatures that can exist in the temperature control space.

[0020] Step S3: Perform energy-saving control on the central air conditioner when the central air conditioner starts based on the multi-temperature diffusion parameter; Step S3 includes: Step S301: When the central air conditioner starts, denote the temperature at which the central air conditioner starts as the real-time air conditioner temperature; from temperature sensors WC1 to temperature sensor WC g obtain the temperature in the temperature control space in real time, and denote it as the real-time space temperature; obtain the corresponding multi-temperature diffusion parameter based on the real-time air conditioner temperature and the real-time space temperature; Step S302: Based on the calculation method of the multi-temperature diffusion parameter, obtain the time from the detection result of temperature sensor WC1 being the real-time air conditioner temperature to the detection result of temperature sensor WC g being the real-time air conditioner temperature, and denote it as T; when the central air conditioner starts, after the detection result of temperature sensor WC1 is the real-time air conditioner temperature, adjust the start state of the air conditioner to the energy-saving mode after T.

[0021] Example 2, please refer toFigure 4 As shown Figure 4 An exemplary structural diagram of an electronic device is illustrated. The electronic device may include: a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus. The memory stores computer-readable instructions. The processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in an energy-saving control method for a central air conditioner are run to achieve the following functions: First, mark the space whose temperature is adjusted by the central air conditioner as the temperature control space; mark the top-down plan view of the temperature control space as the temperature control plan view; obtain the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan view based on the movement trajectories; then place temperature sensors in the temperature control space based on the personnel activity area, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; finally, perform energy-saving control on the central air conditioner when it starts based on the multi-temperature diffusion parameters.

[0022] In addition, when the logical instructions in the above-mentioned memory are implemented in the form of software function units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs and other various media that can store program codes.

[0023] Embodiment 3. The present application further provides a computer program product. The computer program product includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute an energy-saving control method for a central air conditioner provided by each of the above methods. The method includes: First, record the space whose temperature is adjusted by the central air conditioner as a temperature control space; record the top-down plan view of the temperature control space as a temperature control plan view; obtain the movement trajectories of all personnel in the temperature control space based on the human body infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan view based on the movement trajectories; then place temperature sensors in the temperature control space based on the personnel activity area, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; finally, perform energy-saving control on the central air conditioner when the central air conditioner is started based on the multi-temperature diffusion parameters.

[0024] Embodiment 4. The present application further provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above energy-saving control method for a central air conditioner are run to achieve the following functions: First, record the space whose temperature is adjusted by the central air conditioner as a temperature control space; record the top-down plan view of the temperature control space as a temperature control plan view; obtain the movement trajectories of all personnel in the temperature control space based on the human body infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan view based on the movement trajectories; then place temperature sensors in the temperature control space based on the personnel activity area, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; finally, perform energy-saving control on the central air conditioner when the central air conditioner is started based on the multi-temperature diffusion parameters.

[0025] Through the description of the above embodiments, the embodiments of the present invention can be provided as a method, a system or a computer program product. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each of the embodiments or some parts of the embodiments.

[0026] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For another example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of systems, modules, and units can be in electrical, mechanical, or other forms.

[0027] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An energy-saving control method for a central air conditioner, characterized in that, The steps include: Denote the space whose temperature is regulated by the central air conditioner as the temperature control space; denote the top-down plan view of the temperature control space as the temperature control plan view; obtain the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtain the personnel activity area in the temperature control plan view based on the movement trajectories; Place temperature sensors in the temperature control space based on the personnel activity area, and obtain the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors; Perform energy-saving control on the central air conditioner when it starts based on the multi-temperature diffusion parameters.

2. The energy-saving control method for a central air conditioner according to claim 1, wherein Obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtaining the personnel activity area in the temperature control plan view based on the movement trajectories includes: Obtain the size data of the temperature control plan view, establish a plane rectangular coordinate system with the units of both the X-axis and the Y-axis being meters, and denote it as the plane analysis coordinate system; place the temperature control plan view in the first quadrant of the plane analysis coordinate system based on the size data of the temperature control plan view; A human body infrared sensor based on a central air conditioner acquires and stores the movement trajectories of all personnel in the temperature-controlled space, and divides the recorded trajectory data by day, denoted as trajectory data GS1 to trajectory data GS c , where c is the number of days for the human body infrared sensor of the central air conditioner to record the movement trajectories of personnel in the temperature-controlled space; For any trajectory data GS v , plot all the motion trajectories in the trajectory data GS v in the temperature control plan view, and denote the motion trajectories in the temperature control plan view as the trajectory to be analyzed DG1 to the trajectory to be analyzed DG m , where v is a positive integer less than or equal to c and greater than or equal to 1.

3. The energy-saving control method for a central air conditioner according to claim 2, characterized in that, Obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtaining the personnel activity area in the temperature control plan view further includes: When there are no intersection points for all the trajectories DG to be analyzed, for any trajectory DG to be analyzed b , denote the two endpoints of the trajectory DG to be analyzed b as edge point A and edge point B respectively, and obtain the neighboring points of edge point A and edge point B respectively. Among them, the neighboring point is the endpoint in the trajectory DG to be analyzed that is closest to edge point A or edge point B except for the trajectory DG to be analyzed b , and b is a positive integer less than or equal to m and greater than or equal to 1; Obtain the edge points of all trajectories DG to be analyzed and the adjacent points of all edge points, connect the edge points with the corresponding adjacent points, and denote the line segment connecting the edge points with the corresponding adjacent points as the edge adjacent line; When the area formed by all the edge adjacent lines and all the trajectories DG to be analyzed is a closed area, denote the closed area as the personnel activity area; when the area formed by all the edge adjacent lines and all the trajectories DG to be analyzed is a non-closed area, obtain the smallest circle in the plane analysis coordinate system that can enclose all the edge adjacent lines and all the trajectories DG, and denote it as the trajectory enclosing circle; denote the area where the trajectory enclosing circle coincides with the temperature control plan view as the personnel activity area.

4. The energy-saving control method for a central air conditioner according to claim 3, wherein Obtaining the movement trajectories of all personnel in the temperature control space based on the human infrared sensor of the central air conditioner, and obtaining the personnel activity area in the temperature control plan view further includes: When there are intersection points among all the trajectories DG to be analyzed, denote the intersection points of the trajectories DG to be analyzed as the trajectory intersection points; obtain the smallest circle in the plane analysis coordinate system that can enclose all the trajectory intersection points, and denote it as the intersection point enclosing circle; denote the area where the intersection point enclosing circle coincides with the temperature control plan view as the intersection point area; for any one of the trajectories DG to be analyzed, denote the point on the trajectory DG that is farthest from the center of the intersection point area as the trajectory far point, draw tangents from the trajectory far point to the intersection point area, and denote the area between the two tangents and the intersection point area as the trajectory associated area; Obtain the trajectory associated areas of all the trajectories DG to be analyzed; denote the area obtained by merging the trajectory areas of all the trajectories DG to be analyzed and the intersection point area as the personnel activity area.

5. The energy-saving control method for a central air conditioner according to claim 4, characterized in that, Placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors includes: Obtain the position of the central air conditioner in the temperature control floor plan and record it as the air conditioner position; when the air conditioner position is within the personnel activity area, record the point closest to and the farthest from the air conditioner position among the edges of the personnel activity area as the diffusion near point and the diffusion far point respectively; record the circle with the air conditioner position as the center and the line connecting the air conditioner position and the diffusion near point as the radius as the near point diffusion area, and record the area in the personnel activity area that does not coincide with the near point diffusion area as the far point analysis area. When the air conditioner position is outside the personnel activity area, obtain any tangent line between the air conditioner position and the personnel activity area, and record the intersection point of the tangent line and the personnel activity area as the empty tangent point; record the circle with the air conditioner position as the center and the line connecting the air conditioner position and the empty tangent point as the radius as the far point diffusion circle; record the area in the personnel activity area that does not coincide with the far point diffusion circle as the far point analysis area, and record the area in the personnel activity area other than the far point analysis area as the near point diffusion area.

6. The energy-saving control method for a central air conditioner according to claim 5, characterized in that, Placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors further includes: Let the number of objects in the near point spread region be denoted as z1, and the number of objects in the far point analysis region be denoted as z2. The near and far point sensing intervals are obtained using the near and far spread algorithm. The near and far spread algorithm is as follows: , where F1 is the near point sensing interval, F2 is the far point sensing interval, L1 is the maximum distance from the air conditioner position in the near point spread region, L2 is the maximum distance from the air conditioner position in the far point analysis region, c1 is the number of trajectories DG to be analyzed in the near point spread region, and c2 is the number of trajectories DG to be analyzed in the far point analysis region; Record any point in the near point diffusion area that is farthest from the air conditioner position as D1, record the line connecting point D1 and the air conditioner position as the near point sensing line, obtain multiple points at intervals of the near point sensing interval within the near point sensing line, and record them as near point sensing points; record any point in the far point analysis area that is farthest from the air conditioner position as D2, record the line segment that is only within the far point analysis area in the line connecting point D2 and the air conditioner position as the far point sensing line, obtain multiple points at intervals of the far point sensing interval within the far point sensing line, and record them as far point sensing points. Place temperature sensors at the near sensing point and the far sensing point of the temperature-controlled space, and sequentially label the temperature sensors as temperature sensor WC1 to temperature sensor WC based on the distance from the temperature sensors to the air conditioner from near to far. g 。 7. The energy-saving control method for a central air conditioner according to claim 6, characterized in that Placing temperature sensors in the temperature control space based on the personnel activity area, and obtaining the multi-temperature diffusion parameters of the central air conditioner based on the temperature sensors further includes: Establish a plane rectangular coordinate system, denoted as the temperature expansion analysis coordinate system. Among them, the coordinate points on the X-axis of the temperature expansion analysis coordinate system from the origin to the right are filled in with temperature sensors WC1 to temperature sensor WC g , the unit of the Y-axis of the temperature expansion analysis coordinate system is time; for any temperature α that a central air conditioner can release, when the temperature of the temperature control space is temperature β, starting from the time when the central air conditioner adjusts the temperature to temperature α, respectively obtain the time when the measured values of temperature sensors WC1 to temperature sensor WC g change from temperature β to temperature α, and mark points based on the timing results in the temperature expansion analysis coordinate system. Denote the marked points as temperature expansion points. Among them, temperature α and temperature β are different from each other, and denote the difference between temperature α and temperature β as γ; Record the point with the largest ordinate and the point with the smallest ordinate among all temperature diffusion points as the late temperature point and the early temperature point respectively; record the difference between the ordinate of the late temperature point and the ordinate of the early temperature point as the temperature diffusion time difference, and record the value obtained by dividing the temperature diffusion time difference by γ as the multi-temperature diffusion parameter of temperature α and temperature β. Obtain the multi-temperature diffusion parameters corresponding to all the temperatures that the central air conditioner can release and all the temperatures that can exist in the temperature control space.

8. The energy-saving control method for a central air conditioner according to claim 7, wherein Based on the multi-temperature diffusion parameters, perform energy-saving control on the central air conditioner when it starts up, including: When the central air conditioner is started, record the temperature at which the central air conditioner is started as the real-time temperature of the air conditioner; from temperature sensor WC1 to temperature sensor WC g Obtain the temperature in the temperature control space in real time and record it as the real-time temperature of the space; obtain the corresponding multi-temperature diffusion parameters based on the real-time temperature of the air conditioner and the real-time temperature of the space; Calculation method based on multi-temperature diffusion parameters, obtaining the time when the detection result of temperature sensor WC1 is the real-time temperature of the air conditioner to temperature sensor WC g and recording it as T; when the central air conditioner starts, when the detection result of temperature sensor WC1 is the real-time temperature of the air conditioner, after T, adjust the start state of the air conditioner to the energy-saving mode.

9. An electronic device, characterized in that, Including a processor and a memory, the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the method according to any one of claims 1-8 are run.

10. A storage medium, on which a computer program is stored, characterized in that, When the computer program is executed by the processor, the steps in the method according to any one of claims 1-8 are run.

Images