Air conditioning apparatus

Abstract

The application provides an air conditioning equipment with a radar sensor and a processing device, which comprises: an entrance and exit identification module, which comprises: a grid division unit configured to establish a projection of a detection field in a ground direction, divide a region covered by the projection into multiple grids; a counting unit configured to record a detection frequency of an air conditioning room without detecting a valid element by using an unmanned time counting variable; a preliminary judgment unit configured to presume that a grid is a potential entrance and exit when a valid element is detected in the grid and no valid element is detected in continuous detection; record a number of times that the grid no longer has a valid element by using a potential entrance and exit credibility; and a selection unit configured to calculate a ratio of the potential entrance and exit credibility and the unmanned time counting variable when a valid element is detected in the potential entrance and exit again, and select the potential entrance and exit as a room entrance and exit when the ratio meets a preset condition of a scene. The application can improve long-term accuracy of detection.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and more particularly to an air conditioning device. Background Technology

[0002] Millimeter-wave radar is a radar technology that uses millimeter-wave electromagnetic waves for detection and measurement. In the air conditioning field, millimeter-wave radar sensors are mainly used to achieve human detection, positioning, and motion tracking in smart homes. For example, by detecting whether someone is in a room, the air conditioning system can automatically turn on or off according to the actual situation, saving energy.

[0003] Existing technologies disclose technical solutions for determining the entrance location of a space using millimeter-wave radar sensors, such as the solution disclosed in Chinese patent application (CN 116086346A). Based on distance and angle data collected by electromagnetic wave sensors, spatial information of the space is generated. For example, the entrance location of the space is determined based on the time when the data appears. It is assumed that the location corresponding to the earliest recorded distance and angle data is the door or entrance of the room, and a certain distance from the door or entrance is used as a buffer space to improve the comfort when entering the room from the outside.

[0004] However, indoor spaces are complex, especially in small apartments where rooms often contain clutter, obstacles, or irregular layouts. Using only the earliest recorded distance and angle data as the location of the door or entrance can easily lead to errors in entrance area identification. Furthermore, the layout of these spaces changes frequently, with furniture often moved or temporary obstacles placed. Existing technologies cannot adapt to these changes, potentially resulting in misidentification of the entrance location. Summary of the Invention

[0005] To address the issue that using only the location corresponding to the earliest recorded distance and angle data as the door or entrance of a room can easily lead to entrance area identification errors when there is a lot of clutter, obstacles, or irregular layout, and also has poor adaptability to layout changes, an air conditioning device is designed and provided.

[0006] The first aspect of this application provides an air conditioning device in which the detection field of a radar sensor can cover the air-conditioned room.

[0007] In one or more embodiments of this application, the air conditioning equipment includes a processing device.

[0008] In one or more embodiments of this application, the processing device includes an entrance / exit identification module.

[0009] In one or more embodiments of this application, the entrance / exit identification module includes a grid division unit, a counting unit, a preliminary judgment unit, and a selection unit; wherein the grid division unit is configured to establish the projection of the detection field of view in the ground direction and divide the area covered by the projection into multiple grids; the counting unit is configured to use an unattended time count variable to record the number of times a valid element is not detected in an air-conditioned room: each time a valid element is not detected in an air-conditioned room, the unattended time count variable is counted as a valid value; the preliminary judgment unit is configured to presume that the grid is a potential entrance / exit when a valid element is detected in any grid and no valid element is detected in continuous detection; the potential entrance / exit confidence level is used to record the number of times a grid no longer contains a valid element: each time a valid element no longer exists, the potential entrance / exit confidence level is counted as a valid value; the selection unit is configured to calculate the ratio of the potential entrance / exit confidence level to the unattended time count variable when a valid element is detected again at the potential entrance / exit, and select the potential entrance / exit whose ratio satisfies the scene preset conditions as the room entrance / exit.

[0010] In one or more embodiments of this application, the processing device further includes a scene determination module; the scene determination module includes an extraction unit, a time period division unit, a quantity classification unit, and a confirmation unit; the extraction unit is configured to extract effective element detection features, effective element time features, and effective element quantity features from multiple radar sensor detection data respectively; the time period division unit is configured to divide multiple scene recognition time periods; the time period classification unit is configured to classify multiple radar sensor detection data into multiple scene recognition time periods based on the effective element detection features and effective element time features and calculate a first scene recognition index parameter; the quantity classification unit is configured to classify multiple radar sensor detection data into multiple quantity categories based on the effective element quantity features and calculate a second scene recognition index parameter; the confirmation unit is configured to determine the air-conditioned room scene based on the first scene recognition index parameter and the second scene recognition index parameter.

[0011] In one or more embodiments of this application, the selection unit sorts the ratios and selects the number of potential entrances and exits corresponding to the determined air-conditioned room scenario as room entrances and exits in descending order.

[0012] In one or more embodiments of this application, the processing device further includes a pre-control module; the pre-control module includes a distance acquisition unit and an execution unit; the distance acquisition unit is configured to acquire the distance between a user outside the air-conditioned room and the air-conditioned room, and the execution unit is configured to calculate the time when the user enters the air-conditioned room based on the distance, and perform control to adjust at least one air parameter of the air-conditioned room based on the corresponding scene recognition time period and the determined air-conditioned room scene before the user enters the air-conditioned room.

[0013] In one or more embodiments of this application, the processing device further includes a layout detection module; the layout detection module is configured to determine the furniture positions in the air-conditioned room based on a determined air-conditioned room scene and the frequency of valid elements identified in the grid during the scene identification period.

[0014] In one or more embodiments of this application, the processing device further includes an air supply module, which is configured with an surround air supply mode.

[0015] In one or more embodiments of this application, the surround airflow mode is configured to sequentially deliver airflow around a defined furniture location.

[0016] In one or more embodiments of this application, the surround air supply mode is configured to supply air around the air-conditioned room and use the inlet / outlet as the endpoint of a single air cycle.

[0017] In one or more embodiments of this application, the air supply module is further configured with a behavior scene air supply mode, which is configured to supply air to a determined furniture location.

[0018] In one or more embodiments of this application, the air supply module is configured to switch from the surround air supply mode to the behavior scene air supply mode when a trigger condition is met.

[0019] In one or more embodiments of this application, the processing device further comprises: a valid element identification module; the valid element identification module includes a generation unit and a correction unit; the generation unit is configured to generate a first matrix for recording detection data, wherein each element in the first matrix represents the cumulative number of times an active object is detected in a corresponding grid; the first matrix corresponds to a preset cumulative detection limit; the correction unit is configured to generate a second matrix for recording valid data; when the ratio of an element in the first matrix to the preset cumulative detection limit is higher than a first preset valid threshold, the corresponding element in the second matrix is ​​counted as a valid value; the sum of the elements in the second matrix is ​​calculated, and when the ratio of an element in the second matrix to the sum of the elements is higher than a second preset valid threshold, it is presumed to be a valid element.

[0020] In one or more embodiments of this application, the processing device further includes: a coordinate transformation module, which obtains the horizontal distance of the active object based on the distance between the radar sensor and the active object, the average height of the active object, and the installation height of the radar sensor; obtains the azimuth angle between the radar sensor and the active object; obtains the polar coordinates of the active object, and converts the polar coordinates of the active object into rectangular coordinates.

[0021] In this application, the ratio of entrance / exit confidence level to the number of unoccupied moments is used as the potential entrance / exit confidence rate. The confidence rate calculation is based on multiple data points continuously collected by radar sensors over a long period. Only locations that truly meet the entrance / exit detection characteristics can demonstrate a relatively high confidence rate, effectively reducing misjudgments caused by accidental factors (such as brief obstruction or prolonged periods of inactivity). The confidence rate standardizes the data from different grids, ensuring the judgment results are universal and comparable. The processing device can more accurately identify the true room entrances / exits, avoiding misjudgments caused by transient anomalies or noisy data.

[0022] Other features and advantages of the present invention will become clearer after reading the detailed embodiments of the invention in conjunction with the accompanying drawings. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 A schematic block diagram of the structure of an air conditioning device provided for one or more embodiments of this application;

[0025] Figure 2 A schematic diagram of the installation structure of an air conditioning device provided in one or more embodiments of this application;

[0026] Figure 3 A side view of the air conditioning device provided in one or more embodiments of this application when the distance is being corrected;

[0027] Figure 4 A top view of the air conditioning device provided in one or more embodiments of this application when calibrating the distance;

[0028] Figure 5 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0029] Figure 6 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0030] Figure 7 A schematic block diagram of the structure of an inlet / outlet identification module in an air conditioning device provided for one or more embodiments of this application;

[0031] Figure 8A schematic diagram of the grid structure of an air conditioning device provided in one or more embodiments of this application;

[0032] Figure 9 A flowchart of a processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0033] Figure 10 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0034] Figure 11 A schematic block diagram of the scene recognition module in an air conditioning device provided for one or more embodiments of this application;

[0035] Figure 12 A flowchart of a processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0036] Figure 13 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0037] Figure 14 A schematic block diagram of the pre-control module in an air conditioning device provided for one or more embodiments of this application;

[0038] Figure 15 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0039] Figure 16 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0040] Figure 17 A schematic diagram of the surround air supply mode in an air conditioning device provided for one or more embodiments of this application;

[0041] Figure 18 A schematic diagram of the surround air supply mode in an air conditioning device provided for one or more embodiments of this application;

[0042] Figure 19 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0043] Figure 20 A schematic block diagram of the effective element identification module in an air conditioning device provided for one or more embodiments of this application;

[0044] Figure 21A flowchart of a processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0045] Figure 22 A schematic block diagram of the structure of the processing device in an air conditioning apparatus provided for one or more embodiments of this application;

[0046] In the diagram: 1. Air conditioning equipment; 10. Radar sensor; 20. Processing device; 201. Entrance / exit identification module; 2011. Grid division unit; 2012. Counting unit; 2013. Preliminary judgment unit; 2014. Selection unit; 202. Scene judgment module; 2021. Extraction unit; 2022. Time period division unit; 2023. Time period classification unit; 2024. Quantity classification unit; 2025. Confirmation unit; 203. Pre-control module; 2031. Distance acquisition... 2032, Execution unit; 204, Layout detection module; 205, Air supply module; 206, Valid element identification module; 2061, Generation unit; 2062, Correction unit; 207, Coordinate transformation module; 301, Processor; 302, Non-volatile memory; 303, Volatile memory; 304, Display device; 305, Operating device; 306, Communication interface; 307, Drive device; 308, Bus; 309, Storage medium; 310, Storage medium. Detailed Implementation

[0047] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0048] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0049] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0050] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0051] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0052] The following disclosure provides many different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and letters may be repeated in different examples; this repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and arrangements discussed. In addition, examples of various specific processes and materials are provided in this invention, but those skilled in the art will recognize the application of other processes and the use of other materials.

[0053] Hereinafter, one or more embodiments of this application will be described in detail with reference to the accompanying drawings.

[0054] The air conditioning device 1 provided by the present invention will be described below. The air conditioning device 1 provided by the present invention can improve air quality and enhance the cleanliness, health and comfort of the air.

[0055] In one or more embodiments of this application, the air conditioning device 1 may be an air conditioner.

[0056] Air conditioners execute a refrigeration cycle using a compressor, condenser, throttling element, and evaporator. The refrigeration cycle involves a series of processes, including compression, condensation, expansion, and evaporation, to cool or heat an indoor space.

[0057] Low-temperature, low-pressure refrigerant enters the compressor, which compresses it into a high-temperature, high-pressure refrigerant gas and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and the heat is released to the surrounding environment through the condensation process.

[0058] A throttling element (taking an electronic expansion valve as an example) causes the high-temperature, high-pressure liquid refrigerant condensed in the condenser to expand into a low-pressure liquid refrigerant. The evaporator evaporates the refrigerant that has expanded in the electronic expansion valve, returning the low-temperature, low-pressure refrigerant gas to the compressor. The evaporator achieves its cooling effect by utilizing the latent heat of refrigerant evaporation to exchange heat with the material being cooled. Throughout the cycle, the air conditioner regulates the temperature of the indoor space.

[0059] The outdoor unit of an air conditioner refers to the part of the refrigeration cycle that includes the compressor and the outdoor heat exchanger. The indoor unit of an air conditioner includes the indoor heat exchanger, and an electronic expansion valve can be provided in either the indoor or outdoor unit.

[0060] The indoor and outdoor heat exchangers function as either condensers or evaporators. When the indoor heat exchanger is used as a condenser, the air conditioner functions as a heater in heating mode; when the indoor heat exchanger is used as an evaporator, the air conditioner functions as a cooler in cooling mode.

[0061] In one or more embodiments of this application, the air conditioning device 1 may also be a combination of multiple air conditioners, fresh air equipment, air purifiers, total heat exchangers, dehumidifiers, humidifiers, and air circulation fans.

[0062] The indoor unit of an air conditioning system includes one or more indoor units with "3D" vents. "3D" vents refer to air conditioning outlets with three-dimensional dynamic adjustment capabilities. They can adjust airflow direction and volume in both horizontal and vertical directions as needed to achieve more precise and comfortable air supply, adapting to different room layouts and air conditioning requirements. This improves airflow control within the air conditioning system, providing a more uniform and comfortable air conditioning effect, resulting in a more customized air conditioning experience. The indoor units can be fixedly installed on walls or ceilings, and the angle of the "3D" vents can cover the entire room, providing a comfortable air supply.

[0063] like Figure 1 and Figure 2 As shown, the air conditioning device 1 also includes a radar sensor 10. The radar sensor 10 is a device that uses radio waves to detect target objects. It determines the position, distance, speed, and other characteristics of an object by emitting radio waves and receiving signals reflected back from the target object.

[0064] When radar sensor 10 detects a target object, it outputs the distance between itself and the target object, as well as the target object's orientation angle. The distance between radar sensor 10 and the target object is denoted as R1, and the orientation angle of the target object is denoted as θ. The distance R1 and the orientation angle θ can be directly output by radar sensor 10. Radar sensor 10 can be a commercially available radar sensor operating in the millimeter-wave frequency band.

[0065] In one or more embodiments of this application, the radar sensor 10 can be installed on the indoor unit of the air conditioning equipment 1. For example, at the air outlet of a wall-mounted indoor unit, or at the air outlet of a central air conditioning air supply terminal, in conjunction with the adjustable air supply direction of the air supply terminal, to more flexibly control the air supply direction and air supply area of ​​the regulated air. For example, the radar sensor 10 can be installed at the "3D" air outlet of a ducted air conditioner, and in conjunction with the high-precision air guide vanes of the "3D" air outlet, multi-dimensional air supply can be achieved. In one or more embodiments of this application, the radar sensor 10 can also be installed on the ceiling.

[0066] like Figure 3 and Figure 4 As shown, radar sensor 10 is mounted at a certain height L, while the height of the target object (taking a person as an example) is h. Therefore, the distance R1 output by radar sensor 10 between the target object and the target object needs to be corrected. The corrected distance R2 satisfies:

[0067]

[0068] Using the corrected horizontal distance R2 and direction angle θ, the polar coordinates of the target object can be converted to rectangular coordinates.

[0069] The x-coordinate of the target object can be represented as:

[0070] x = R²sin(θθ)

[0071] The ordinate of the target object can be represented as:

[0072] y = R²cos(θθ)

[0073] The radar sensor 10 can accurately detect and locate target objects, which have a unique location on the ground. In the embodiments of this application, the detection field of view (FOV) of the radar sensor 10, that is, the spatial range that the radar sensor 10 can effectively detect and sense, can cover an air-conditioned room.

[0074] like Figure 1 As shown, the air conditioning equipment 1 also includes a processing device 20.

[0075] Figure 5This is a schematic block diagram of the hardware configuration of the processing device 20. The processing device 20 includes components such as a processor 301, volatile memory 302, non-volatile memory 303, a display device 304, an operation device 305, a communication interface 306, and a drive device 307, which are interconnected via a bus 308. The processor 301 can be a dedicated processor, a central processing unit (CPU), etc. The processor 301 can access memory units to execute instructions or application programs stored in the memory units to achieve related functions. The display device 304 is a display device for displaying various information, the operation device 305 is an operation device for receiving various operations, and the drive device 307 is a hardware terminal that interacts with the storage medium. In one or more embodiments of this application, the storage medium 309 (e.g., ...) Figure 5 (As shown) includes media such as CD-ROMs, floppy disks, and optical-magnetic-optical disks that record information in optical, electrical, or magnetic ways. Storage medium 310 (such as...) Figure 5 (As shown) can also be a semiconductor memory that records information electrically, such as ROM or flash memory.

[0076] The processing device 20 can be the controller of the air conditioning equipment 1 itself, such as an on-board system based on an MCU.

[0077] The processing device 20 can also be a host computer or a cloud server, or other intelligent mobile terminals. The processing device 20 and the radar sensor 10 can communicate via a LAN (Local Area Network), signal lines (such as Ethernet cables, coaxial cables, optical fibers, power lines, serial cables, etc.), wireless signals, LTE, 5G, or other networks.

[0078] The processing device 20 can also communicate with a smart mobile terminal. The network between the processing device 20 and the smart mobile terminal can be the Internet, cellular network, Wi-Fi network, low power wide area network (LPWAN) based on standards and protocols such as LoRa and NB-IoT, LAN, and LAN, etc.

[0079] A smart mobile terminal is an electronic device with intelligent functions. It can connect to the aforementioned networks to achieve functions such as remote control, data exchange, and human-computer interaction. Smart mobile terminals have positioning capabilities, which can be based on GPS positioning, cellular network positioning, Wi-Fi positioning, Bluetooth positioning, sensor-assisted positioning, multi-system fusion positioning, and so on.

[0080] like Figure 6The functional configuration of the processing device 20 will be described below. In one or more embodiments of this application, the processing device 20 includes an entrance / exit identification module 201. The entrance / exit identification module 201 includes a grid division unit 2011, a counting unit 2012, a preliminary judgment unit, and a selection unit. Each of these units can be implemented by a processor running a program. The units in other embodiments of this application can also be implemented by a processor running a program, and will not be described again below.

[0081] The grid division unit 2011 is configured to establish a projection of the detection field of view onto the ground and divide the area covered by the projection into multiple grids. More specifically, the grid division unit 2011 projects the detection field of view of the radar sensor 10 onto the ground to obtain a two-dimensional region. This two-dimensional region covers all positions that the radar sensor 10 can effectively detect. The projected area is further divided into multiple small grids, for example, m×n grids. In one or more embodiments of this application, the grid can be an equilateral square, for example, such as... Figure 8 As shown, the area of ​​each grid is d×d, and a coordinate system is established with the position of radar sensor 10 as the origin.

[0082] The counting unit 2012 is configured to use an unattended time count variable S to record the number of times a valid element is not detected in the air-conditioned room. Each time a valid element is not detected in the air-conditioned room, the unattended time count variable S is incremented by 1.

[0083] The initial judgment unit 2013 is configured to presume a grid as a potential entry / exit point if a valid element is detected in any grid and no valid element is detected in subsequent detections. A potential entry / exit confidence score is used to record the number of times a grid no longer contains a valid element. Each time a valid element is no longer present, the potential entry / exit confidence score is added as a valid value.

[0084] The selection unit 2014 is configured to calculate the ratio of the confidence level of the potential entrance / exit to the count variable s of the unattended time when a valid element is detected again at the potential entrance / exit, and select the potential entrance / exit whose ratio meets the preset conditions of the scenario as the room entrance / exit.

[0085] In this application, the ratio of entrance / exit confidence level to the number of unoccupied moments is used as the potential entrance / exit confidence rate. The confidence rate calculation is based on multiple data points continuously collected by radar sensors over a long period. Only locations that truly meet the entrance / exit detection characteristics can demonstrate a relatively high confidence rate, effectively reducing misjudgments caused by accidental factors (such as brief obstruction or prolonged periods of inactivity). The confidence rate standardizes the data from different grids, ensuring the judgment results are universal and comparable. The processing device can more accurately identify the true room entrances / exits, avoiding misjudgments caused by transient anomalies or noisy data.

[0086] Figure 9 This is a flowchart of the processing device 20. The processing device 20 performs actions such as... Figure 9 Multiple steps in the process.

[0087] Step S101: Establish the projection of the detection field of view in the direction of the ground, and divide the area covered by the projection into multiple grids.

[0088] Step S102: Initialize the unattended time count variable S. The initial value of the unattended time count variable S is 0.

[0089] Step S103: Acquire the detection message from radar sensor 10. Radar sensor 10 reads the coordinate information of effective elements in the air-conditioned room every interval Δt and outputs the detection message to processing device 20.

[0090] Step S104: Determine whether the radar sensor 10 has detected a valid element. The processing device 20 is configured with a valid element matrix, where each matrix element corresponds to a grid. Each time the radar sensor 10 detects a valid element, it records the Cartesian coordinates of the valid element. The processing device 20 can update the matrix element corresponding to the grid where the Cartesian coordinates are located based on the Cartesian coordinates.

[0091] Step S105: For each time when no valid element is detected in the air-conditioned room, the count variable S for unoccupied time is incremented by 1.

[0092] Step S106: If a valid element is detected in the air-conditioned room, record the grid of the detected valid element. Keep the count variable S unchanged when no one is present.

[0093] Step S107: Continue to acquire the detection message from radar sensor 10.

[0094] Step S108: Determine whether the radar sensor 10 has detected a valid element.

[0095] Step S109: If a grid that detected a valid element in the previous detection (e.g., at time t) no longer detects a valid element (e.g., at time t+1), then the grid is presumed to be a potential entrance / exit. If a grid that detected a valid element in the previous detection still detects a valid element, then the grid is not considered a potential entrance / exit, and the detection message from radar sensor 10 continues to be acquired.

[0096] Step S110: When the grid is presumed to be a potential entrance / exit, the potential entrance / exit confidence z is included as a valid value. Assume that in the valid element matrix X(a i a j The element is presumed to be a potential entry / exit point, and the corresponding potential entry / exit confidence is initialized (initial value is 0). The potential entry / exit confidence z(a) i a j ) is included in one valid value, and the confidence level of potential entry and exit points z(a) i a j Add 1 to the potential entry / exit credibility z(a) i a j The value is 1.

[0097] Step S111: Continue to acquire detection messages from radar sensor 10.

[0098] Step S112: Determine whether a valid element is detected again at the potential entry / exit point. If no valid element is detected, the confidence level z(a) of the potential entry / exit point is determined. i a j Add 1.

[0099] Step S113: When a valid element is detected again at a potential entrance / exit, calculate the confidence level z(a) of the potential entrance / exit. i a j The ratio of the number of times a variable is unattended to the number of times it is unattended is used as the confidence level, and the confidence level is w = z(a) / z(s). i a j ) / S.

[0100] Step S114: Select potential entrances / exits whose ratios meet the preset conditions of the scenario as the room entrances / exits. For example, after running this for more than a week, select potential entrances / exits whose ratios meet the preset conditions of the scenario as the room entrances / exits.

[0101] This application identifies room entrances and exits using a "no one - someone - no one" pattern. "No one" represents the preparation state before entering, "someone" represents the moment of entering or leaving the air-conditioned room, and "no one" represents leaving the room completely. This pattern realistically reflects the dynamic changes of entrances and exits during the use of the air-conditioned room. Furthermore, it utilizes statistical (count variables and reliability at no one times) and verification mechanisms (reliability rate) to achieve continuous detection and long-term data accumulation, improving the reliability of the judgment and more clearly identifying the true location of the entrances and exits.

[0102] like Figure 10 As shown, in one or more embodiments of this application, the processing device 20 further includes a scene determination module 202.

[0103] like Figure 11 As shown, in one or more embodiments of this application, the scene determination module 202 includes an extraction unit 2021, a time period division unit 2022, a time period classification unit 2023, a quantity classification unit 2024, and a confirmation unit 2025.

[0104] The extraction unit 2021 is configured to extract the effective element detection features, effective element time features, and effective element quantity features from the detection data of multiple radar sensors 10. In one or more embodiments of this application, a radar sensor 10 is installed in each air-conditioned room. The extraction unit 2021 is also configured to extract the coordinate features of the effective elements.

[0105] The time period segmentation unit 2022 is configured to divide multiple scene recognition time periods.

[0106] The time period classification unit 2023 is configured to classify the detection data of multiple radar sensors 10 into multiple scene recognition time periods based on the effective element detection features and effective element time features, and calculate the first scene recognition index parameters.

[0107] The quantity classification unit 2024 is configured to classify the detection data of multiple radar sensors 10 into multiple quantity categories based on the effective element quantity characteristics and calculate the second scene recognition index parameters.

[0108] The confirmation unit 2025 is configured to determine the air-conditioned room scene based on the first scene recognition index parameters and the second scene recognition index parameters.

[0109] Figure 12 This is a flowchart of the processing device 20. The processing device 20 performs actions such as... Figure 12 Multiple steps in the process.

[0110] Step S201: Divide the 24 hours into multiple scene recognition time periods.

[0111] In one or more embodiments of this application, scene recognition period I is 21:00 to 06:00; scene recognition period II includes 07:00 to 11:00; 13:00 to 18:00 and 19:00 to 21:00; scene recognition period III includes 6:00 to 8:00; 11:00 to 13:00; 17:00 to 19:00.

[0112] Step S202: Extract effective element detection features and effective element time features from the detection data of M radar sensors 10.

[0113] Step S203: Count the number of detection data points falling into scene recognition time period I, scene recognition time period II, and scene recognition time period III respectively. The number of data points falling into scene recognition time period I is denoted as: S tA The number of data points falling into scene recognition period II is denoted as: St B The number of data points falling into scene recognition time period III is denoted as: S tC .

[0114] Step S204: Calculate the first scene recognition index parameters. The total amount of detection data with effective element detection features is denoted as S1; the first scene recognition index parameters are denoted as:

[0115] Step S205: Extract the effective element quantity feature from the detection data of M radar sensors 10.

[0116] Step S206: Based on the number of valid elements, the detected data are categorized into multiple quantity categories. For example, quantity category I corresponds to 1 valid element, quantity category II corresponds to 2 valid elements, and quantity category III corresponds to more than 3 valid elements. The number of data belonging to quantity category I is denoted as S. pA The number of data belonging to quantity category II is denoted as S. pB The number of data belonging to quantity category III is denoted as S. pc .

[0117] Step S207: Calculate the second scene recognition index parameters. The second scene recognition index parameters are denoted as follows:

[0118] Step S208: Determine the air-conditioned room scene based on the first scene recognition index parameters and the second scene recognition index parameters.

[0119] In one or more embodiments of this application, the air-conditioned room scenario can be determined based on the table below. Here, k1 and k2 are weight parameters that can be preset and adjusted according to the specific application scenario.

[0120] 1 <![CDATA[k1*V 1tA +k2*V 2pA ]]> bedroom 2 <![CDATA[k1*V 1tA +k2*V 2pB ]]> bedroom 3 <![CDATA[k1*V 1tA +k2*V 2pC ]]> bedroom 4 <![CDATA[k1*V 1tB +k2*V 2pA ]]> living room 5 <![CDATA[k1*V 1tB +k2*V 2pB ]]> living room 6 <![CDATA[k1*V 1tB +k2*V 2pC ]]> living room 7 <![CDATA[k1*V 1tC +k2*V 2pA ]]> kitchen 8 <![CDATA[k1*V 1tC +k2*V 2pB ]]> kitchen 9 <![CDATA[k1*V 1tC +k2*V 2pC ]]> living room

[0121] In one or more embodiments of this application, the unit comparison values ​​(confidence rates) are sorted, and based on the determined air-conditioned room scenario, the number of potential entrances and exits corresponding to the determined air-conditioned room scenario are selected as room entrances and exits in descending order.

[0122] For example, the bedroom takes 1 or 2 of the maximum w values; the living room takes 3 of the maximum w values; and the kitchen takes 1 of the maximum w values.

[0123] like Figure 13 As shown, in one or more embodiments of this application, the processing device 20 further includes a pre-control module 203.

[0124] like Figure 14 As shown, in one or more embodiments of this application, the pre-control module 203 includes a distance acquisition unit 2031 and an execution unit 2032. The distance acquisition unit 2031 is configured to acquire the distance between a user outside the air-conditioned room and the air-conditioned room, for example, through a smart mobile terminal. The execution unit 2032 is configured to calculate the time when the user enters the air-conditioned room based on the distance, and to perform control to adjust at least one air parameter of the air-conditioned room before the user enters the air-conditioned room based on the corresponding scene recognition time period and the determined air-conditioned room scene.

[0125] For example, if a user enters the air-conditioned room during scene recognition period I based on distance estimation, the bedroom's indoor unit is activated, and the unit operates in the appropriate mode according to the bedroom's real-time ambient temperature. For instance, it operates in heating mode when the temperature is below 16°C and in cooling mode when the temperature is above 28°C, thus improving comfort during sleep. If a user enters the air-conditioned room during scene recognition period II based on distance estimation, the living room's indoor unit is activated, and the unit operates in the appropriate mode according to the living room's real-time ambient temperature. If a user enters the air-conditioned room during scene recognition period III based on distance estimation, the kitchen's indoor unit is activated, and the unit operates in the appropriate mode according to the kitchen's real-time ambient temperature, thus improving comfort during cooking.

[0126] like Figure 15 As shown, in one or more embodiments of this application, the processing device 20 further includes a layout detection module 204. The layout detection module 204 is configured to determine the furniture positions in the air-conditioned room based on the frequency of valid elements identified in the grid during the scene recognition period, according to a determined air-conditioned room scene.

[0127] For example, in a bedroom scenario, the layout detection module 204, based on the size of the bed, identifies the grid with the highest frequency of valid elements identified during the time period 00:00-06:00 as the bed; and based on the size of the desk, identifies the grid with the highest frequency of valid elements identified during the time period 06:00-24:00 as the desk. In a living room scenario, the layout detection module 204, based on the size of the sofa, identifies the grid with the highest frequency of valid elements identified during the time period 09:00-21:00 as the sofa; and based on the size of the dining table, identifies the grid with the highest frequency of valid elements identified during the time periods 06:00-09:00, 11:00-13:00, and 17:00-19:00 as the dining table. In a kitchen scenario, the layout detection module 204, based on the size of the stove, identifies the grid with the highest frequency of valid elements identified during the time periods 11:00-13:00 and 17:00-19:00 as the stove.

[0128] Combining the entrance / exit recognition module 201, the scene determination module 202, and the layout detection module 204, the processing device 20 obtains the locations of the entrance / exit of the air-conditioned room, the sofa, the dining table, the desk, the bed, and the stove. For example... Figure 16 As shown, the processing device 20 is further equipped with an air supply module 205, which is configured with a surround air supply mode.

[0129] In one or more embodiments of this application, the surround airflow mode is configured to sequentially deliver airflow around a defined furniture location. For example... Figure 17 As shown, when there are effective elements in the target area (the area circled by the dotted circle in the figure), the air is delivered in the order of ①-②-③-④ through the surrounding air supply mode. This avoids direct airflow to the user and prevents the ineffective flow of hot and cold air, thus achieving the effect of slightly avoiding people.

[0130] In one or more embodiments of this application, the surround air supply mode can also be configured to supply air around the air-conditioned room and use the identified room entrance / exit as the endpoint of a single air cycle, such as... Figure 18 As shown, by adjusting the number of sections of the horizontal and vertical air guide plates of the "3D" air vent, the airflow direction is adjusted so that the airflow always ends at the identified room entrance / exit, minimizing the loss of hot and cold air at the room entrance / exit and achieving energy-saving air supply.

[0131] In one or more embodiments of this application, the air supply module 205 is further configured to have a behavioral scene air supply mode. The behavioral scene air supply mode is configured to supply air to a specific furniture location.

[0132] In one or more embodiments of this application, the air supply module 205 is configured to switch from the self-circulating air supply mode to the behavior scene air supply mode when a trigger condition is met.

[0133] For example, the scene air supply mode may include: when an effective element is detected at the desk position for time t, the set temperature is lowered and the speed of the fan in the indoor unit is increased to supply air towards the desk position for time t1, and then the original operating mode is restored. The strong cool air keeps the user awake while studying or working, and at the same time dilutes the carbon dioxide concentration in the area.

[0134] For example, the scene air supply mode may include: when an effective element is detected at the stove position, lowering the set temperature and increasing the speed of the fan in the indoor unit to supply air towards the stove position; when no effective element is detected at the stove position, resuming the original operating mode, blowing away the oil fumes emitted by the stove, forming a closed loop path with the range hood's air field, and improving the working efficiency of the range hood.

[0135] In one or more embodiments of this application, the effective element is the active object identified by the radar sensor 10.

[0136] In one or more embodiments of this application, the processing device 20 further includes a valid element identification module 206, such as... Figure 19 As shown. Figure 20 As shown, the valid element identification module 206 includes a generation unit 2061 and a correction unit 2062.

[0137] The generation unit 2061 is configured to generate a first matrix for recording detection data. Each element in the first matrix represents the cumulative number of times an active object was detected in the corresponding grid. The first matrix has a preset upper limit for the cumulative number of detections.

[0138] The correction unit 2062 is configured to generate a second matrix for recording valid data. When the ratio of an element in the first matrix to a preset cumulative detection count upper limit is higher than a first preset valid threshold, the corresponding element in the second matrix is ​​counted as a valid value. The sum of the elements in the second matrix is ​​calculated, and elements in the second matrix whose ratio to the sum of the elements is higher than a second preset valid threshold are presumed to be valid elements.

[0139] Figure 21 This is a flowchart of the processing device 20. The processing device 20 performs actions such as... Figure 21 Multiple steps in the process.

[0140] Step S301: Establish the projection of the detection field of view in the direction of the ground, and divide the area covered by the projection into multiple grids.

[0141] Step S302: Radar sensor 10 detects a moving object at time t.

[0142] Step S303: Determine if an active object exists.

[0143] Step S304: When an active object exists, obtain the polar coordinates of the active object and convert them to rectangular coordinates. When no active object exists, maintain the detection of the radar sensor 10.

[0144] Step S305: Initialize the first matrix A, with all elements in matrix A set to 0. Update the corresponding element A in the first matrix A according to the Cartesian coordinates of the active object. ij .

[0145] Step S306: Determine the element A in the first matrix A. ij Is the ratio of the number of cumulative detections p to the preset maximum number of detections higher than the first preset effective threshold k1?

[0146] Step S307: If element A in the first matrix A ij If the ratio of the cumulative number of detections to the preset detection limit p is higher than the first preset effective threshold k1, then the corresponding element A in the first matrix A is cleared. ij If the value is not higher than the first preset effective threshold k1, then the detection of the radar sensor 10 is maintained.

[0147] Step S308: Initialize the second matrix B, and initialize the elements of the first matrix B to 0.

[0148] Step S309: Corresponding element B in the second matrix B ij Include a valid value, for example, add 1.

[0149] Step S310: After updating the second matrix B, calculate the sum q of the elements in the second matrix B.

[0150] Step S311: Determine the element B in the second matrix B. ij Is the ratio of the sum of elements q to the sum of elements higher than the second preset effective threshold k2?

[0151] Step S312: Element B in the second matrix B ij If the ratio of the sum of elements to q is higher than the second preset effective threshold k2, the element is presumed to be a valid element.

[0152] The second matrix B(m, n) records the number of effective detections after the initial filtering by the first matrix A. Each time, a certain element A of the first matrix A... ij When the first preset effective threshold k1 is reached, the element at the corresponding position in the second matrix B is counted as a valid value, for example, incremented by 1. When an element B in the second matrix B... ij Satisfy B ijOnly when / q>k2 is the detection at this location considered long-term effective and treated as a valid element, preventing short-term interference signals from accumulating to the point of exceeding the threshold. Through the accumulation of valid elements in the second matrix B(m,n), the processing device 20 can more accurately determine the true location and frequency of the active object. The number of valid elements reflects the credibility of continuous detection of a person at that location. Through the dual accumulation and filtering of the first matrix A and the second matrix B, the impact of short-term interference and false alarms is effectively reduced, ensuring that the data ultimately used for analysis and decision-making is more robust and reliable, and can more accurately reflect the actual personnel activity. As the amount of data increases, the multi-level filtering and verification system composed of the first matrix A and the second matrix B continuously updates and corrects the detection results, allowing the processing device 20 to dynamically adapt and adjust, improving the long-term accuracy of the detection.

[0153] like Figure 22 As shown, in one or more embodiments of this application, the conversion between polar coordinates and rectangular coordinates is implemented by the coordinate conversion module 207 in the processing device 20. The coordinate conversion module 207 obtains the horizontal distance of the moving object based on the distance between the radar sensor 10 and the moving object, the average height of the moving object, and the installation height of the radar sensor 10; obtains the azimuth angle between the radar sensor 10 and the moving object; obtains the polar coordinates of the moving object, and converts the polar coordinates of the moving object into rectangular coordinates.

[0154] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0155] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. Air conditioning equipment equipped with radar sensors, whose detection field can cover the air-conditioned room; Its features are, Also includes: The processing device includes: The entrance / exit recognition module includes: A grid division unit is configured to establish the projection of the detection field of view in the ground direction and divide the area covered by the projection into multiple grids; The counting unit is configured to record the number of times no valid element is detected in the air-conditioned room using an unattended time counting variable: each time no valid element is detected in the air-conditioned room, the unattended time counting variable is counted as a valid value. The initial judgment unit is configured to presume a grid as a potential entry / exit point when a valid element is detected in any grid and no valid element is detected in subsequent detections; it uses a potential entry / exit confidence score to record the number of times a grid no longer contains a valid element: each time a valid element is no longer found, the potential entry / exit confidence score is counted as a valid value; and Selection unit: It is configured to calculate the ratio of the confidence level of the potential entrance / exit to the count variable of unattended time when a valid element is detected again at the potential entrance / exit, and select the potential entrance / exit whose ratio satisfies the preset conditions of the scenario as the room entrance / exit.

2. The air conditioning device according to claim 1, characterized in that, The processing device also includes: The scene determination module includes: The extraction unit is configured to extract effective element detection features, effective element time features, and effective element quantity features from the detection data of multiple radar sensors, respectively. The time period segmentation unit is configured to divide multiple scene recognition time periods; The time period classification unit is configured to classify the detection data of multiple radar sensors into multiple scene recognition time periods based on the effective element detection features and effective element time features, and to calculate the first scene recognition index parameters. A quantity classification unit is configured to classify multiple radar sensor detection data into multiple quantity categories based on the effective element quantity characteristics and calculate second scene recognition index parameters; and The confirmation unit is configured to determine the air-conditioned room scene based on the first scene recognition index parameter and the second scene recognition index parameter.

3. The air conditioning device according to claim 2, characterized in that, The selection unit sorts the ratios and, based on the determined air-conditioned room scenario, selects the number of potential entrances and exits corresponding to the determined air-conditioned room scenario as room entrances and exits in descending order.

4. The air conditioning device according to claim 2, characterized in that, The processing device also includes: The pre-control module includes: A distance acquisition unit, configured to acquire the distance between a user outside the air-conditioned room and the air-conditioned room; and An execution unit is configured to calculate the time when a user enters an air-conditioned room based on the distance, and to perform control to adjust at least one air parameter of the air-conditioned room before the user enters the air-conditioned room based on the corresponding scene recognition time period and the determined air-conditioned room scene.

5. The air conditioning device according to claim 4, characterized in that, The processing device also includes: The layout detection module is configured to determine the furniture positions in an air-conditioned room based on the frequency of valid elements identified in the grid during the scene recognition period, given a defined air-conditioned room scene.

6. The air conditioning device according to claim 5, characterized in that, The processing device also includes: The air supply module is configured with a surround air supply mode, which is configured to sequentially supply air around a defined furniture location or supply air around an air-conditioned room and use the inlet and outlet as the endpoint of a single air circulation.

7. The air conditioning device according to claim 6, characterized in that, The air supply module is also configured with a behavior scene air supply mode, which is configured to supply air to a specific furniture location.

8. The air conditioning device according to claim 7, characterized in that, The air supply module is configured to switch from the surround air supply mode to the behavior scenario air supply mode when the triggering condition is met.

9. The air conditioning device according to any one of claims 1 to 8, characterized in that, The processing device also includes: The valid element identification module includes: The generation unit is configured to generate a first matrix for recording detection data, wherein each element of the first matrix represents the cumulative number of times an active object is detected in the corresponding grid; the first matrix has a preset upper limit for the cumulative number of detections; and The correction unit is configured to generate a second matrix for recording valid data; when the ratio of an element in the first matrix to the preset cumulative upper limit of detection counts is higher than a first preset valid threshold, the corresponding element in the second matrix is ​​counted as a valid value; the sum of the elements in the second matrix is ​​calculated, and when the ratio of an element in the second matrix to the sum of the elements is higher than a second preset valid threshold, it is presumed to be a valid element.

10. The air conditioning device according to claim 9, characterized in that, The processing device further includes: The coordinate transformation module obtains the horizontal distance of the moving object based on the distance between the radar sensor and the moving object, the average height of the moving object, and the installation height of the radar sensor; acquires the azimuth angle between the radar sensor and the moving object; obtains the polar coordinates of the moving object, and converts the polar coordinates of the moving object into rectangular coordinates.

Images