Air conditioner control method and device, air conditioner and storage medium

Abstract

The invention relates to an air conditioner control method and device, an air conditioner and a storage medium. The air conditioner control method comprises the steps that the number of target objects corresponding to a target scene is determined, the target scene comprises a target air conditioner, and the target objects are objects influencing the temperature and / or humidity of the target scene in the target scene; according to the number of the target objects, a control strategy of the target air conditioner is determined, the target air conditioner is controlled according to the control strategy, and the control strategy comprises at least one of a temperature control strategy, a humidity control strategy and an air speed control strategy. According to the method, effective air conditioner control can be achieved, and then the purposes of improving comfort and saving energy are achieved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of device control, and particularly to an air conditioner control method, device, air conditioner, and storage medium. Background Art

[0002] With the development of electrical appliance technology, the application of air conditioners has also developed accordingly. Air conditioners are applied in various scenarios, such as household scenarios, commercial scenarios, etc. In these application scenarios, air conditioners can achieve functions such as refrigeration, heating, and ventilation. Moreover, these functions of the air conditioner can be controlled through the corresponding control system of the air conditioner. Summary of the Invention

[0003] To overcome the problems existing in the related art, the present disclosure provides an air conditioner control method, device, air conditioner, and storage medium.

[0004] According to the first aspect of the embodiments of the present disclosure, an air conditioner control method is provided, including determining the number of target objects corresponding to a target scenario, where the target scenario includes a target air conditioner, and the target objects are the objects that affect the temperature and / or humidity of the target scenario; determining a control strategy for the target air conditioner according to the number of target objects, and controlling the target air conditioner according to the control strategy, where the control strategy includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

[0005] Optionally, the air conditioner control method further includes: determining a first number of objects corresponding to the target scenario, where the first number of objects is the number of target objects in the target scenario within a first preset time period; the determining the number of target objects corresponding to the target scenario includes: if the first number of objects is greater than a preset number, determining that the second number of objects corresponding to the target scenario is the number of target objects, where the second number of objects is the number of target objects in the target scenario within a second preset time period. Optionally, the target scenario further includes a quantity detection device, and the determining the number of target objects corresponding to the target scenario includes: obtaining detection data of the quantity detection device; determining the number of target objects corresponding to the target scenario according to the detection data of the quantity detection device.

[0006] Optionally, the user identity identifier corresponding to the target air conditioner is the same as the user identity identifier corresponding to the quantity detection device.

[0007] Optionally, the quantity detection device includes at least one of a router, a camera, and a wireless probe.

[0008] Optionally, if the quantity detection device includes the router, the detection data of the router is data of devices on the network, and the data of devices on the network is used to characterize the devices connected to the router; if the quantity detection device includes the camera, the detection data of the camera is a quantity detection result, and the quantity detection result is used to characterize the quantity and residence duration of target objects in the target scene; if the quantity detection device includes the wireless probe, the detection data of the wireless probe is the quantity of wireless devices in the target scene.

[0009] Optionally, determining the control strategy of the target air conditioner according to the quantity of target objects includes: obtaining preset control strategies respectively corresponding to multiple object quantity ranges, and each preset control strategy corresponding to an object quantity range includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy; determining the target object quantity range corresponding to the quantity of target objects; and determining the preset control strategy corresponding to the target object quantity range as the control strategy of the target air conditioner. Optionally, the wind speed control strategy includes: a first fan speed control strategy and / or a second fan speed control strategy, where the first fan is a refrigeration or heating fan, and the second fan is a ventilation fan.

[0010] Optionally, the preset control strategies respectively corresponding to the multiple object quantity ranges include: a preset control strategy corresponding to a first object quantity range and a preset control strategy corresponding to a second object quantity range; the preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in a refrigeration state, reducing the set temperature of the air conditioner by a first temperature value and reducing the set humidity of the air conditioner by a first humidity value; if the air conditioner is in a heating state, reducing the set temperature of the air conditioner by the first temperature value; the preset control strategy corresponding to the second object quantity range includes: if the air conditioner is in a refrigeration state, reducing the set temperature of the air conditioner by a second temperature value and reducing the set humidity of the air conditioner by a second humidity value; if the air conditioner is in a heating state, reducing the set temperature of the air conditioner by the second temperature value; where any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first temperature value is less than the second temperature value, and the first humidity value is less than or equal to the second humidity value.

[0011] Optionally, the preset control strategies corresponding to the respective ranges of the number of the plurality of objects include: a preset control strategy corresponding to a first range of the number of objects and a preset control strategy corresponding to a second range of the number of objects; the preset control strategy corresponding to the first range of the number of objects includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a first preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the first preset value; the preset control strategy corresponding to the second range of the number of objects includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a second preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the second preset value; wherein, any number of objects in the first range of the number of objects is greater than any number of objects in the second range of the number of objects; the first preset value is less than the second preset value. According to a second aspect of the embodiments of the present disclosure, there is provided an air conditioner control device, including a quantity determination module configured to determine the number of target objects corresponding to a target scene, the target scene including a target air conditioner, and the target object being an object in the target scene that affects the temperature and / or humidity of the target scene; a control module configured to determine a control strategy for the target air conditioner according to the number of target objects, and control the target air conditioner according to the control strategy, the control strategy including at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

[0012] According to a fourth aspect of the embodiments of the present disclosure, there is provided an air conditioner control device, including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to: execute the steps of the air conditioner control method provided in the first aspect of the present disclosure.

[0013] According to a fourth aspect of the embodiments of the present disclosure, there is provided an air conditioner, including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to: execute the steps of the air conditioner control method provided in the first aspect of the present disclosure.

[0014] According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the air conditioner control method provided in the first aspect of the present disclosure are implemented.

[0015] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: By detecting the number of target objects in the target scene where the target air conditioner is located, the control strategy of the target air conditioner is determined based on the number of target objects. Since the target object is an object that affects the temperature and / or humidity of the target scene, by combining the number of target objects to formulate the control strategy of the air conditioner, the effect of the target air conditioner can be made more in line with the actual usage situation, achieving effective air conditioner control, and further achieving the purpose of improving comfort and energy conservation. Moreover, by detecting the number of target objects to realize the autonomous control of the target air conditioner, the automatic control of the air conditioner can be achieved without relying on manual adjustment, improving the autonomy and flexibility of air conditioner control.

[0016] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings herein are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present disclosure, and are used together with the specification to explain the principles of the present disclosure.

[0018] Figure 1 is a flowchart of an air conditioner control method shown according to an exemplary embodiment.

[0019] Figure 2 is a schematic diagram of a target scene shown according to an exemplary embodiment.

[0020] Figure 3 is a block diagram of an air conditioner control device shown according to an exemplary embodiment.

[0021] Figure 4 is a block diagram of an air conditioner control device for implementing the air conditioner control method shown according to an exemplary embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The exemplary embodiments will be described in detail herein, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0023] It should be noted that all actions of obtaining signals, information, or data in the present disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located and obtaining the authorization given by the owner of the corresponding device.

[0024] The technical solutions provided by the embodiments of the present disclosure can be applied to various usage scenarios of air conditioners. Specifically, they can be applied to air conditioner application scenarios that require considering comfort and / or energy-saving effects.

[0025] Exemplarily, for the commercial scenarios of air conditioners, it is necessary to consider the energy-saving effect of the air conditioner and also consider comfort. Or, for the air conditioner usage scenarios of multiple users, it is necessary to consider the comfort of multiple users. Exemplarily, the commercial scenarios of air conditioners can be scenarios such as shopping malls or office buildings. In such scenarios, there are a large number of people and high mobility. If the reasonable control of the air conditioner cannot be ensured, it may lead to poor comfort of people or high energy consumption of the air conditioner.

[0026] In the related art, in the commercial scenarios of air conditioners, for the control of air conditioners, usually property management personnel set the air conditioner parameters according to experience, generally fixing the set temperature of the air conditioner. Or at different time periods, the air conditioner parameters are set manually according to experience respectively.

[0027] In this implementation manner, on the one hand, the air conditioner system cannot automatically judge the number of people in the shopping mall or office building, nor can it automatically adjust the air conditioner parameter settings; it requires property management personnel to manually adjust, which is very troublesome and not intelligent; on the other hand, it is necessary to set the air conditioner parameters manually according to experience. If the air conditioner parameter settings are fixed in each time period, it will cause uncomfortable situations such as users feeling too cold, and at the same time, it will cause waste of energy. Therefore, the flexibility, autonomy, and convenience of control are all poor; moreover, the comfort and energy-saving effects cannot be guaranteed.

[0028] Based on this, the embodiments of the present disclosure provide a technical solution, which can be applied to scenarios with a very large flow of people such as office buildings and shopping malls; considering different situations of the number of people, the air conditioner can be automatically controlled according to the number of people, so as to achieve the purpose of improving comfort and saving energy.

[0029] In some embodiments, the air conditioner system includes an air conditioner and an air conditioner control device. Thus, the control of the air conditioner can be achieved by the air conditioner control device. In other embodiments, the air conditioner system includes an air conditioner and an air conditioner control device, and the control of the air conditioner can be achieved together by a terminal control device and the air conditioner control device. Exemplarily, the terminal control device issues a control instruction to the air conditioner control device, and the air conditioner control device controls the air conditioner based on this control instruction. In other embodiments, the control of the air conditioner is achieved by the air conditioner itself, that is, the air conditioner also serves as a control device.

[0030] Figure 1 is a flowchart of an air conditioner control method shown according to an exemplary embodiment, as Figure 1As shown in the figure, the air conditioner control method can be used in an air conditioner or an air conditioner control device, and includes the following steps. Step S11: Determine the number of target objects corresponding to the target scenario. The target scenario includes a target air conditioner, and the target objects are the objects that affect the temperature and / or humidity of the target scenario. Step S12: Determine the control strategy of the target air conditioner according to the number of target objects, and control the target air conditioner according to the control strategy. The control strategy includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

[0031] In step S11, the target scenario may be a scenario with a large flow of people, such as the aforementioned office buildings and shopping malls. Therefore, the target air conditioner can be the air conditioners in office buildings and shopping malls. In the embodiments of the present disclosure, the types of air conditioners may be: wall-mounted air conditioners, floor-standing air conditioners, central air conditioners, fresh air air conditioners, etc., which are not limited herein. Among them, wall-mounted air conditioners, floor-standing air conditioners, and central air conditioners adopt different installation methods; the function of a fresh air air conditioner is generally to promote air flow and may not have the effect of refrigeration or heating.

[0032] It can be understood that in a scenario with a large flow of people, if the number of people is large, it will affect the temperature and / or humidity of the scenario. Then, the target object can be a person. In the embodiments of the present disclosure, in addition to considering people, other objects that can affect the temperature and / or humidity of the target scenario can also be considered.

[0033] In some embodiments, in addition to people, some devices or objects in the target scenario may also affect the temperature and / or humidity of the target scenario. For example, the use of lights, audio equipment, etc. will generate a heating effect, resulting in an increase in the temperature of the target scenario. Of course, for these objects, when their number is small, they may not affect the temperature and / or humidity. Therefore, in the embodiments of the present disclosure, based on these objects that may affect the temperature and / or humidity of the target scenario, the number needs to be detected. In some embodiments, if a scenario does not belong to a multi-object air conditioner usage scenario, corresponding air conditioner autonomous control may not be adopted.

[0034] Therefore, before controlling the air conditioner in the scenario, it can also be determined whether the scenario is a multi-object air conditioner usage scenario.

[0035] Thus, as an optional implementation manner, the air conditioner control method further includes: determining a first object number corresponding to the target scenario, where the first object number is the number of target objects in the target scenario within a first preset duration; correspondingly, step S11 includes: if the first object number is greater than a preset number, determining that a second object number corresponding to the target scenario is the target object number, where the second object number is the number of target objects in the target scenario within a second preset duration.

[0036] In this embodiment, the first preset duration can be one day. Thus, the first object quantity is the quantity of target objects in the target scenario within one day. The second preset duration can be one hour. Thus, the second object quantity is the quantity of target objects in the target scenario within one hour. Then, the first preset duration can be greater than the second preset duration.

[0037] It can be understood that first, it is determined whether the quantity of target objects in the target scenario within one day is greater than the preset quantity. If it is greater, then the quantity of target objects in the target scenario within one hour is determined, and the air conditioner is controlled according to the quantity of target objects.

[0038] In the embodiments of the present disclosure, the control of the air conditioner can be periodic, and the control period can be the same as the second preset duration. Then, every time the second preset duration elapses, the air conditioner is controlled. Thus, every time one hour elapses, the quantity of target objects within that one hour is detected, and then the air conditioner is controlled according to the detected quantity of target objects.

[0039] In some embodiments, the preset quantity can be a quantity value determined by analyzing the actual air conditioner usage scenarios. For example, by observing various air conditioner usage scenarios, when the quantity of target objects reaches a corresponding value, it will cause the comfort level to be affected; or, it will cause the temperature in the usage scenario to rise and the humidity to drop, etc. Then, the corresponding value can be the preset quantity. By way of example, the preset quantity can be 50.

[0040] In some embodiments, the target scenario further includes a quantity detection device. Thus, step S11 includes: obtaining the detection data of the quantity detection device; and determining the quantity of target objects corresponding to the target scenario according to the detection data of the quantity detection device.

[0041] In some embodiments, the detection data of the quantity detection device can include the detection data within the aforementioned first preset duration and the detection data within the second preset duration. Correspondingly, the detection data within the first preset duration can be used to determine whether it is a multi-object air conditioner usage scenario. The detection data within the second preset duration is used to determine the quantity of target objects.

[0042] Figure 2 is a schematic diagram of a target scenario shown according to an exemplary embodiment, as Figure 2 shown, in the target scenario, there are included air conditioner A, multiple target objects R, and a quantity detection device B. The quantity detection device can generate the detection data of the multiple target objects R and send it to the control device of the air conditioner A, so that the control device formulates the control strategy of the target air conditioner according to the detection data.

[0043] In some embodiments, the quantity detection device may belong to an air conditioning system. The quantity detection device is communicatively connected to an air conditioning control device or a terminal control device, and is specifically used to implement the quantity detection of a target object and send the detection result to the corresponding terminal.

[0044] In other embodiments, the quantity detection device may not belong to the air conditioning system. In this case, in order to obtain the data of the quantity detection device, the target air conditioner can be associated with the quantity detection device through the same user identity identifier, so that the air conditioning control device or the terminal control device can obtain the detection data from the quantity detection device.

[0045] Therefore, as an alternative implementation, the user identity identifier corresponding to the target air conditioner is the same as the user identity identifier corresponding to the quantity detection device. For example, if the target air conditioner and the quantity detection device both belong to devices of the same brand, then the user will register an account of this brand, and then the target air conditioner and the quantity detection device belong to the devices under the same account.

[0046] Adopting this implementation method, it is not necessary to pre-configure the quantity detection device. The relevant devices in the actual scenario can be used for quantity detection, which can improve the flexibility of air conditioning control and does not increase the cost.

[0047] In the embodiments of the present disclosure, the quantity detection device includes at least one of a router, a camera, and a wireless probe.

[0048] It can be understood that routers, cameras, and wireless probes are all devices that are often used in various air conditioning usage scenarios. Using these devices as quantity detection devices can achieve flexible control of air conditioners. In some embodiments, if the quantity detection device includes a router, the detection data of the router is the data of the devices on the network, and the data of the devices on the network is used to represent the devices connected to the router; if the quantity detection device includes a camera, the detection data of the camera is the quantity detection result, and the quantity detection result is used to represent the quantity and residence duration of the target objects in the target scenario; if the quantity detection device includes a wireless probe, the detection data of the wireless probe is the quantity of wireless devices in the target scenario.

[0049] In some embodiments, for the data of the devices on the network of the router, since it represents the devices connected to the router, the quantity of the target objects can be determined by counting the quantity of the devices connected to the router within the corresponding time period.

[0050] In some embodiments, for the quantity detection result of the camera, since it represents the quantity and residence duration of the target objects in the target scenario, the quantity of the target objects can be directly determined through the quantity and residence duration of the target objects.

[0051] In some embodiments, for the detection data of a wireless probe, since it includes the number of wireless devices in the target scenario, the number of target objects can also be directly determined.

[0052] In some embodiments, if only one of the three detection devices is included in the target scenario, the number of target objects is determined based on the detection data of that detection device.

[0053] In other embodiments, if multiple (more than two) detection devices are included in the target scenario, the number of target objects can be determined separately based on the detection data of the multiple detection devices first, and then, the multiple numbers of target objects are integrated to determine the final number of target objects. Among them, the integration method can be averaging, weighted summation, etc., which is not limited here.

[0054] In the embodiments of the present disclosure, the router can be a router with mesh (wireless mesh network) networking function, and this mesh networking function can enable multiple routers to form a mesh network. For example, for this type of router as a detection device, it can be regarded as a kind of fuzzy detection. If the router is used for user quantity detection, the user device data of users who own multiple XX brand (an electronic device brand) devices among multiple users can be collected first. The device categories include routers and air conditioners. These user device data can be associated through the same user identity identifier, and the relationship between the device and the device identifier can be as shown in Table 1. Table 1 shows the meanings represented by the device identifiers (described as feature fields in Table 1).

[0055]

[0056] Table 1. Further, the router's mesh networking ability can enable multiple routers to form a mesh network. Whether it is a large-sized apartment or upper and lower floors, the signal can be fully covered, and the device can automatically roam seamlessly between multiple routers. Thus, through the router, fuzzy detection of the user quantity can be achieved. By the router, the devices on the network under the same user account in the space are identified. The devices include all devices with wifi connection ability, such as mobile phones, tablets, laptops, air conditioners, etc. Count the number of devices on the network of the router by date under the same user account; count the number of real-time devices on the network of the router by hour under the same user account. That is, the number of real-time devices on the network here refers to the number of devices on the network within one hour.

[0057] Through analysis, it is found that for 85% of the user accounts, the number of devices on the network per day is between 3 and 20, and for 4% of the user accounts (in the millions), the number of devices on the network per day is higher than 50; select the user accounts with the number of devices on the network per day higher than 50, and consider the usage scenarios of these user accounts as multi-user (shopping malls, office places) scenarios.

[0058] Select user accounts in a multi-user scenario and match the air-conditioning devices bound to the user accounts; record the number of devices currently online for the router under the user account.

[0059] For example, for a camera, the cameras under the same user account as the air-conditioning device can also be used to make a fuzzy judgment on the number of users in the space. The camera system can use corresponding algorithms to detect the number of people, more accurately count the number of people in the area and the stay duration of each person, and then detect the daily number of people (which can be the maximum number of people in the current space per day) and the real-time number of people (the number of people per hour) in the space. For example, for a wireless probe, the transmission characteristics of the WiFi signal can be used to detect the location and movement state of the device. Specifically, the wireless probe determines the surrounding WiFi devices by listening to the WiFi signal and decoding information such as the MAC (Media Access Control Address) address and signal strength in it, so as to infer the location and movement trajectory of the device. The WiFi probe technology is based on the WiFi detection technology to identify smartphones or WiFi terminals (laptops, tablets, etc.) with WiFi enabled near the AP (Wireless Access Point). Without the user connecting to the WiFi, the WiFi probe can identify the user's information. Furthermore, it can identify the daily number of people (which can be the maximum number of people in the current space per day) and the real-time number of people (the number of people per hour) in the space.

[0060] For the specific implementation methods of the detection technologies of wireless probes and cameras, reference can be made to the mature technologies in this field, and no specific introduction will be made here.

[0061] In some embodiments, for other objects that can affect the temperature and / or humidity of the target scenario besides people, corresponding object detection technologies can be used. For example: implementing the detection of corresponding objects through the object detection algorithm of the camera.

[0062] In step S12, the control strategy includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

[0063] The temperature control strategy can be understood as a control strategy for the air-conditioning temperature parameters. For example: adjusting the set temperature of the air conditioner.

[0064] The humidity control strategy can be understood as a control strategy for the air-conditioning humidity parameters. For example: adjusting the set humidity of the air conditioner.

[0065] For the wind speed control strategy, it can be understood as a control strategy for the wind speed, for example: increasing the wind speed. In some embodiments, the wind speed control strategy may include: a first fan speed control strategy and / or a second fan speed control strategy, where the first fan is a refrigeration or heating fan, and the second fan is a ventilation fan.

[0066] In this implementation manner, the target air conditioner may include a temperature air conditioning device and / or a fresh air air conditioning device; among them, the temperature air conditioning device is used to achieve temperature adjustment, and the fresh air air conditioning device is used to achieve ventilation adjustment. Thus, the air conditioner fan may include a refrigeration (heating) fan and / or a ventilation fan. Therefore, when formulating the wind speed control strategy, it may include the control strategies of both types of fans, or only the control strategy of one of the types of fans.

[0067] In the embodiments of the present disclosure, control strategies corresponding to different preset object quantities can be preset, so that, according to the current target object quantity, the corresponding control strategy is determined.

[0068] As an optional implementation manner, step S12 includes: obtaining preset control strategies corresponding to multiple object quantity ranges respectively, where the preset control strategy corresponding to each object quantity range includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy; determining the target object quantity range corresponding to the target object quantity; and determining the preset control strategy corresponding to the target object quantity range as the control strategy of the target air conditioner.

[0069] In this implementation manner, the object quantity is divided into multiple ranges, and each range corresponds to a preset control strategy. By finding the target object quantity range corresponding to the target object quantity, the preset control strategy corresponding to the target object quantity range is used as the control strategy of the target air conditioner. In some embodiments, the multiple object quantity ranges may be gradient object quantity ranges, so as to achieve hierarchical air conditioner control of the object quantity.

[0070] Therefore, as an optional implementation manner, the preset control strategies corresponding to multiple object quantity ranges respectively include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range.

[0071] The first object quantity range and the second object quantity range may be any two object quantity ranges among the multiple object quantity ranges.

[0072] The preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in the refrigeration state, reducing the set temperature of the air conditioner by a first temperature value and reducing the set humidity of the air conditioner by a first humidity value; if the air conditioner is in the heating state, reducing the set temperature of the air conditioner by a first temperature value.

[0073] The preset control strategies corresponding to the second object quantity range include: if the air conditioner is in the cooling state, lower the set temperature of the air conditioner by a second temperature value and lower the set humidity of the air conditioner by a second humidity value; if the air conditioner is in the heating state, lower the set temperature of the air conditioner by a second temperature value.

[0074] Among them, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first temperature value is less than the second temperature value, and the first humidity value is less than or equal to the second humidity value.

[0075] Exemplarily, assume that the first object quantity range is: [50, 70), and the second object quantity range can be [70, 90). Assume that the target object quantity is x. Then, if x is greater than or equal to 50 and less than 70, it corresponds to the first object quantity range; if x is greater than or equal to 70 and less than 90, it corresponds to the second object quantity range.

[0076] From this implementation method, it can be seen that the higher the target object quantity, the hotter the temperature in the space, and the more cooling capacity and less heating capacity are required.

[0077] As an example, please refer to Table 2. Taking the number of users as an example, Table 2 shows a hierarchical temperature and humidity compensation value gradient table for the number of users, which shows multiple real-time user quantity ranges and the corresponding control strategies for each real-time user quantity range. The control strategies include: cooling set temperature compensation value, set humidity compensation value; heating set temperature compensation value. It can be understood that the compensation here refers to the change value compared to the current value.

[0078]

[0079] Table 2 As another alternative implementation method, the preset control strategies corresponding to multiple object quantity ranges include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range; the preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in the cooling state, increase the air conditioner wind speed by a first preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increase the air conditioner wind speed by the first preset value; the preset control strategy corresponding to the second object quantity range includes: if the air conditioner is in the cooling state, increase the air conditioner wind speed by a second preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increase the air conditioner wind speed by the second preset value; among them, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first preset value is less than the second preset value.

[0080] From this implementation method, it can be seen that the higher the target object quantity, the slower the air flow in the space, and the more air flow and cooling capacity and less heating capacity are required.

[0081] As an example, refer to Table 3. Taking the number of users as an example, Table 3 shows the hierarchical fan speed compensation gradient table for the number of users, which shows multiple real-time user quantity ranges and the corresponding control strategies for the multiple real-time user quantity ranges respectively. The control strategy includes: the refrigeration fan speed compensation value and the heating fan speed compensation value. It can be understood that the compensation here refers to the change value compared to the current value.

[0082]

[0083] As can be seen from the introduction of the embodiments of the present disclosure in Table 3, by detecting the number of target objects in the target scenario where the target air conditioner is located, the control strategy of the target air conditioner is determined based on the number of target objects. Since the target object is an object that affects the temperature and / or humidity of the target scenario, combining the number of target objects to formulate the control strategy of the air conditioner can make the effect of the target air conditioner more in line with the actual usage situation, achieve effective air conditioner control, and further achieve the purpose of improving comfort and energy saving. Moreover, by detecting the number of target objects to realize the autonomous control of the target air conditioner, the automatic control of the air conditioner can be achieved, without relying on manual adjustment, improving the autonomy and flexibility of air conditioner control. Figure 3 is a block diagram of an air conditioner control device shown according to an exemplary embodiment. Refer to Figure 3 , the device includes:

[0084] A quantity determination module 301, configured to determine the number of target objects corresponding to the target scenario, where the target scenario includes a target air conditioner, and the target object is an object that affects the temperature and / or humidity of the target scenario;

[0085] A control module 302, configured to determine the control strategy of the target air conditioner according to the number of target objects, and control the target air conditioner according to the control strategy, where the control strategy includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

[0086] In an exemplary embodiment, the quantity determination module 301 is further configured to: determine the first number of objects corresponding to the target scenario, where the first number of objects is the number of target objects in the target scenario within a first preset time period; if the first number of objects is greater than the preset number, determine that the second number of objects corresponding to the target scenario is the number of target objects, where the second number of objects is the number of target objects in the target scenario within a second preset time period.

[0087] In an exemplary embodiment, the quantity determination module 301 is further configured to: obtain the detection data of the quantity detection device; determine the number of target objects corresponding to the target scenario according to the detection data of the quantity detection device.

[0088] In an exemplary embodiment, the user identity identifier corresponding to the target air conditioner is the same as the user identity identifier corresponding to the quantity detection device.

[0089] In an exemplary embodiment, the quantity detection device includes at least one of a router, a camera, and a wireless probe.

[0090] In an exemplary embodiment, if the quantity detection device includes the router, the detection data of the router is the data of the devices on the network, and the data of the devices on the network is used to represent the devices connected to the router; if the quantity detection device includes the camera, the detection data of the camera is the quantity detection result, and the quantity detection result is used to represent the quantity and the staying duration of the target objects in the target scene; if the quantity detection device includes the wireless probe, the detection data of the wireless probe is the quantity of wireless devices in the target scene.

[0091] In an exemplary embodiment, the control module 302 is further configured to: obtain preset control policies corresponding to multiple object quantity ranges respectively, and each preset control policy corresponding to an object quantity range includes at least one of a temperature control policy, a humidity control policy, and a wind speed control policy; determine the target object quantity range corresponding to the target object quantity; and determine the preset control policy corresponding to the target object quantity range as the control policy of the target air conditioner.

[0092] In an exemplary embodiment, the wind speed control policy includes: a first fan speed control policy and / or a second fan speed control policy, the first fan is a refrigeration or heating fan, and the second fan is a ventilation fan.

[0093] In an exemplary embodiment, the preset control strategies respectively corresponding to the multiple object quantity ranges include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range; the preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in the cooling state, reducing the set temperature of the air conditioner by a first temperature value and reducing the set humidity of the air conditioner by a first humidity value; if the air conditioner is in the heating state, reducing the set temperature of the air conditioner by the first temperature value; the preset control strategy corresponding to the second object quantity range includes: if the air conditioner is in the cooling state, reducing the set temperature of the air conditioner by a second temperature value and reducing the set humidity of the air conditioner by a second humidity value; if the air conditioner is in the heating state, reducing the set temperature of the air conditioner by the second temperature value; wherein, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first temperature value is less than the second temperature value, and the first humidity value is less than or equal to the second humidity value. In an exemplary embodiment, the preset control strategies respectively corresponding to the multiple object quantity ranges include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range; the preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a first preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the first preset value; the preset control strategy corresponding to the second object quantity range includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a second preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the second preset value; wherein, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first preset value is less than the second preset value. Regarding the device in the above embodiment, the specific manners in which each module performs operations have been described in detail in the embodiment related to the method, and will not be elaborated here. The present disclosure also provides a computer-readable storage medium, on which computer program instructions are stored, and when the program instructions are executed by a processor, the steps of the air conditioner control method provided by the present disclosure are implemented. Figure 4 FIG. is a block diagram of an air conditioner control device 400 for implementing an air conditioner control method according to an exemplary embodiment. For example, the device 400 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.; the device 400 may also be an air conditioner, that is Figure 4 may also be a block diagram of an air conditioner. Referring to Figure 4 , the device 400 may include one or more of the following components: a processing component 402, a memory 404, a power supply component 406, a multimedia component 408, an audio component 410, an input / output interface 412, a sensor component 414, and a communication component 416.

[0094] The processing component 402 generally controls the overall operation of the device 400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 402 may include one or more processors 420 to execute instructions to complete all or part of the steps of the above-described methods. In addition, the processing component 402 may include one or more modules to facilitate the interaction between the processing component 402 and other components. For example, the processing component 402 may include a multimedia module to facilitate the interaction between the multimedia component 408 and the processing component 402.

[0095] The memory 404 is configured to store various types of data to support the operation of the device 400. Examples of such data include instructions for any application or method operating on the device 400, contact data, phone book data, messages, pictures, videos, and the like. The memory 404 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0096] The power component 406 provides power to the various components of the device 400. The power component 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 400.

[0097] The multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of the touch or swipe actions, but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 408 includes a front camera and / or a rear camera. When the device 400 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each of the front camera and the rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0098] The audio component 410 is configured to output and / or input audio signals. For example, the audio component 410 includes a microphone (MIC), which is configured to receive external audio signals when the device 400 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 404 or transmitted via the communication component 416. In some embodiments, the audio component 410 further includes a speaker for outputting audio signals.

[0099] The input / output interface 412 provides an interface between the processing component 402 and a peripheral interface module, and the peripheral interface module can be a keyboard, a click wheel, buttons, etc. These buttons can include but are not limited to: a home button, a volume button, a power button, and a lock button.

[0100] The sensor component 414 includes one or more sensors for providing status assessments of various aspects of the device 400. For example, the sensor component 414 can detect the on / off state of the device 400, the relative positioning of components, such as the display and keypad of the device 400, the sensor component 414 can also detect a change in the position of the device 400 or a component of the device 400, the presence or absence of user contact with the device 400, the orientation or acceleration / deceleration of the device 400, and the temperature change of the device 400. The sensor component 414 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component 414 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 414 can further include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0101] The communication component 416 is configured to facilitate communication between the device 400 and other devices in a wired or wireless manner. The device 400 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 416 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 416 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0102] In an exemplary embodiment, the apparatus 400 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described air conditioner control method.

[0103] In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as a memory 404 including instructions, and the above instructions can be executed by a processor 420 of the apparatus 400 to complete the above-described air conditioner control method. For example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0104] In another exemplary embodiment, there is also provided a computer program product, which includes a computer program capable of being executed by a programmable device, and the computer program has a code portion for performing the above-described air conditioner control method when executed by the programmable device. Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the present disclosure. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include well-known knowledge or conventional technical means in the technical field not disclosed by the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0105] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

Claims

1. An air conditioner control method, characterized in that, Including: Determine the number of target objects corresponding to the target scenario, where the target scenario includes a target air conditioner, and the target objects are the objects in the target scenario that affect the temperature and / or humidity of the target scenario; According to the number of target objects, determine the control strategy of the target air conditioner, and control the target air conditioner according to the control strategy, where the control strategy includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

2. The air conditioner control method according to claim 1, wherein The air conditioner control method further includes: Determine the number of first objects corresponding to the target scenario, where the number of first objects is the number of target objects in the target scenario within a first preset time period; The step of determining the number of target objects corresponding to the target scenario includes: If the number of first objects is greater than a preset number, determine that the number of second objects corresponding to the target scenario is the number of target objects, where the number of second objects is the number of target objects in the target scenario within a second preset time period.

3. The air conditioner control method according to claim 1, characterized in that, The target scenario further includes a quantity detection device, and the step of determining the number of target objects corresponding to the target scenario includes: Obtain the detection data of the quantity detection device; According to the detection data of the quantity detection device, determine the number of target objects corresponding to the target scenario.

4. The air conditioner control method according to claim 3, characterized in that, The user identity identifier corresponding to the target air conditioner is the same as the user identity identifier corresponding to the quantity detection device.

5. The air conditioner control method according to claim 3 or 4, characterized in that, The quantity detection device includes at least one of a router, a camera, and a wireless probe.

6. The air conditioner control method according to claim 5, wherein If the quantity detection device includes the router, the detection data of the router is the data of devices on the network, and the data of devices on the network is used to represent the devices connected to the router; If the quantity detection device includes the camera, the detection data of the camera is the quantity detection result, and the quantity detection result is used to represent the number and residence duration of target objects in the target scenario; If the quantity detection device includes the wireless probe, the detection data of the wireless probe is the number of wireless devices in the target scenario.

7. The air conditioner control method according to any one of claims 1-6, characterized in that, The step of determining the control strategy of the target air conditioner according to the number of target objects includes: Obtain the preset control strategies corresponding to multiple object quantity ranges respectively, and the preset control strategy corresponding to each object quantity range includes at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy; Determine the target object quantity range corresponding to the number of target objects; Determine the preset control strategy corresponding to the target object quantity range as the control strategy of the target air conditioner.

8. The air conditioner control method according to any one of claims 1-6, characterized in that, The wind speed control strategy includes: a first fan speed control strategy and / or a second fan speed control strategy, where the first fan is a refrigeration or heating fan, and the second fan is a ventilation fan.

9. The air conditioner control method according to claim 7, characterized in that, The preset control strategies corresponding to the multiple object quantity ranges respectively include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range; The preset control strategies corresponding to the first object quantity range include: if the air conditioner is in the cooling state, decreasing the set temperature of the air conditioner by a first temperature value and decreasing the set humidity of the air conditioner by a first humidity value; if the air conditioner is in the heating state, decreasing the set temperature of the air conditioner by the first temperature value. The preset control strategies corresponding to the second object quantity range include: if the air conditioner is in the cooling state, decreasing the set temperature of the air conditioner by a second temperature value and decreasing the set humidity of the air conditioner by a second humidity value; if the air conditioner is in the heating state, decreasing the set temperature of the air conditioner by the second temperature value. Wherein, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first temperature value is less than the second temperature value, and the first humidity value is less than or equal to the second humidity value.

10. The air conditioner control method according to claim 7, wherein, The preset control strategies respectively corresponding to the multiple object quantity ranges include: the preset control strategy corresponding to the first object quantity range and the preset control strategy corresponding to the second object quantity range. The preset control strategy corresponding to the first object quantity range includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a first preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the first preset value. The preset control strategy corresponding to the second object quantity range includes: if the air conditioner is in the cooling state, increasing the air conditioner wind speed by a second preset value; if the air conditioner is in the heating state, when the scene temperature reaches the set temperature of the air conditioner, increasing the air conditioner wind speed by the second preset value. Wherein, any object quantity in the first object quantity range is greater than any object quantity in the second object quantity range; the first preset value is less than the second preset value.

11. An air conditioner control device, characterized in that, Comprising: A quantity determination module configured to determine a target object quantity corresponding to a target scene, the target scene including a target air conditioner, and the target object being an object in the target scene that affects the temperature and / or humidity of the target scene. A control module configured to determine a control strategy for the target air conditioner according to the target object quantity and control the target air conditioner according to the control strategy, the control strategy including at least one of a temperature control strategy, a humidity control strategy, and a wind speed control strategy.

12. An air conditioner control device, characterized in that, Comprising: A processor; A memory for storing instructions executable by the processor; Wherein, the processor is configured to: execute the steps of the method according to any one of claims 1-10.

13. An air conditioner, characterized in that, Comprising: A processor; A memory for storing instructions executable by the processor; Wherein, the processor is configured to: execute the steps of the method according to any one of claims 1-10.

14. A computer-readable storage medium having computer program instructions stored thereon, characterized in that, When the program instructions are executed by the processor, the steps of the method according to any one of claims 1-10 are implemented.

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