CN114719421B - An air conditioner intelligent control method, storage medium and air conditioner - Google Patents

Abstract

The invention provides an air conditioner intelligent control method, a storage medium and an air conditioner, wherein the air conditioner intelligent control method comprises the following steps: s1, starting up, and identifying a user; s2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3; s3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode. The intelligent control method of the air conditioner disclosed by the invention is used for realizing that the air conditioner automatically enters an operation mode matched with a user when the air conditioner is started by correlating and storing user information, current nodes and operation parameters of the air conditioner and splicing discrete data to form a control line related to a time axis; meanwhile, the pre-stored mode is compared with the pre-judging mode, so that the air conditioner is ensured to be accurate and reliable in control and good in comfort.

Description

An air conditioner intelligent control method, storage medium and air conditioner

Technical field

The present invention relates to the technical field of air conditioning, and specifically to an air conditioning intelligent control method, a storage medium and an air conditioner.

Background technique

With the development of science and technology, air conditioning has become one of the indispensable electrical equipment. Currently, mainstream air conditioners on the market require manual setting of operating parameters, making it difficult to achieve intelligence. Different users have different needs for the operating mode and target temperature of the same air conditioner. They may need to set the parameters of the air conditioner multiple times in a day, which makes the operation very cumbersome, especially for the elderly or disabled people. It is not user-friendly and the user experience is poor. Difference.

The existing intelligent control methods of air conditioners cannot fully meet the needs of users. Some users even reported that the environment provided by the air conditioner was not comfortable enough, which caused more troubles. For example, Chinese patent application number 201710509405.1 discloses an air-conditioning intelligent control method. By learning the user's habits of the previous day, the user's air-conditioning setting habits are intelligently applied to the air-conditioning control process of the day to realize the automation and intelligence of the air-conditioning and meet the needs of Users have different needs for the operating mode and target temperature of the air conditioner at different times of the day. However, this method results in poor comfort due to different users or large temperature fluctuations during seasonal changes.

In view of this, the present invention is proposed.

Contents of the invention

The problem solved by the present invention is that infrared remote controls for air conditioners are currently commonly used, but the control method is relatively simple and it is difficult to achieve humanized intelligent control for specific users.

In order to solve the above problems, the present invention provides an air conditioner intelligent control method, including:

S1. Turn on the computer and identify the user;

S2. Determine whether the "normal mode" command is received. If so, the air conditioner operates according to the received control command and records and stores relevant data. The data includes the user's identity information, the node corresponding to the current moment, and operating parameters; If not, go to step S3;

S3. Determine the operating mode of the air conditioner based on the pre-stored mode and the pre-judgment mode.

The air-conditioning intelligent control method of the present invention associates and stores user information, current nodes, and air-conditioning operating parameters, and splices discrete data to form a control line about the time axis, so as to automatically enter an operating mode that matches the user when the computer is turned on; at the same time Compare the pre-stored mode with the pre-judged mode to ensure accurate and reliable air conditioning control and good comfort.

When the user clicks on the normal mode, it will jump to the normal mode. At this time, the priority of the prediction mode is lower than the manual setting. The prediction mode will be run by default after powering on. After clicking "Modify", the data input interface will be entered by default, and the current running time can be modified. The first node, click "Others" to browse all nodes or modify any node. Click "Smart Mode" to jump to smart mode; click "Record" to record the parameters of the first node.

Preferably, step S1 includes:

S11. The air conditioner is turned on and the location of the object is obtained through radar scanning;

S12. Obtain the infrared information of the object, and when the detected temperature is 35-40°C, obtain the indoor image information;

S13. Perform face recognition based on the image information to obtain the user's identity information.

Detect and determine the user's identity information through radar scanning, infrared temperature measurement and face recognition. Through multi-level operations and judgments, the amount of image processing data is reduced and the information is accurate. Preferably, the radar is a millimeter wave radar, and uses an infrared thermometer to detect the user's body temperature.

Preferably, the operating parameters in step S2 include operating mode, preset temperature, windshield, swing angle, and swing speed. Preferably, the operating modes described in step S32 include cooling mode, heating mode, comfort mode, and defrost mode.

Preferably, step S3 includes:

S31. Determine whether to store the user's data information. If yes, proceed to step S32; if not, obtain the prediction mode based on the relationship between the outdoor temperature T _{outer ring} , the indoor temperature T _{inner ring} and the preset value. The air conditioner is Prejudgment mode operation;

S32. Determine whether the data contains the pre-stored mode of the first node. The first node is the node corresponding to the current moment. If so, control the operation of the air conditioner according to the pre-stored mode of the first node; if not, proceed to steps S33;

S33. Obtain the pre-stored mode of the second node; determine whether the pre-stored mode of the second node is consistent with the pre-determined mode. The second node is the node closest to the first node and has data storage. If so, the air conditioner The air conditioner operates according to the predetermined mode of the second node. If not, the air conditioner operates according to the predetermined mode.

S34. Record and store user information, nodes corresponding to the current moment, and operating parameters.

If there is no stored data, the pre-judgment mode will be run; if there is stored data, when the pre-storage mode of the first node is consistent with the pre-judgment mode, the pre-save mode will be run; if they are inconsistent, the pre-judgment mode will be run; when there is no first node When there is data from the second node, if the pre-storage mode of the second node is consistent with the pre-judgment mode, the operating parameters will be recorded to the first node. Otherwise, the pre-judgment mode will be run and recorded in the first node.

Preferably, the prediction mode described in step S31 is determined by the following method:

S311. Detect and determine whether T _{outer ring} ≥ _{T 1.} If so, the air conditioner runs in the cooling mode; if not, enter step S312;

S312. Detect and determine whether T _{inner loop} ≥ _{T 2} . If so, the air conditioner operates in the cooling mode; if not, enter step S313;

S313. Detect and determine whether T _{inner ring} ≤ T ₃ . If so, the air conditioner operates in the heating mode; if not, the air conditioner maintains the original operating mode.

Among them, T _{outer ring} and T _{inner ring} are the outdoor ambient temperature and indoor ambient temperature measured by the temperature sensor respectively. Preferably, the corresponding duration of the first node in step S32 is X×24h/n, n is a positive integer, and the value of X is 0.1-1. The second node and the first node are in different time periods with the same duration.

For example, air conditioners record by day, week, or month, and each recording period is divided into multiple nodes. For example, there are 24 nodes every day, such as 1:00, 2:00, 3:00..., 24:00. ; Or there are 48 nodes every day, such as 1:00, 1:30, 2:00, 2:30...23:30, 24:00. Preferably, when entering the next month, the user is asked whether to copy the current month's data to the next month. After the user agrees, the copy is performed and the changes in the next month are recorded in the next month. Otherwise, no data is stored in the next month.

Preferably, before storing any operating parameters, it is judged whether the operating time of the air conditioner under the corresponding operating parameters reaches the rated time t ₂ . If so, the corresponding operating parameters will be stored as valid parameters; if not, the corresponding operating parameters will be stored. The running parameters are regarded as invalid parameters and will not be stored. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, it deletes the previously stored operating parameters of the current user and the current node. Preferably, the t ₂ is 1-3 min, such as 1 min.

Compared with the existing technology, the air-conditioning intelligent control method of the present invention has the following beneficial effects: 1) The present invention uses radar, infrared temperature measurement, and face recognition to accurately identify different operating users, and at the same time adjusts operation according to user habits and time nodes. The air conditioner is intelligently controlled; 2) Adjustments are made through comparison of pre-judgment modes and pre-stored modes to prevent misjudgments and provide good comfort; 3) Selective mode switching is performed to meet the diverse needs of users.

The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed, the above-mentioned air conditioning intelligent control method is implemented. The present invention also provides an air conditioner, which includes a readable storage medium storing a computer program and a processor. When the computer program is read and run by the processor, the above-mentioned air conditioner intelligent control method is implemented. The readable storage medium and the air conditioner have the same beneficial effects as the air conditioner intelligent control method, which will not be described again here.

Description of the drawings

Figure 1 is a schematic diagram of mode switching of the air conditioner according to the embodiment of the present invention;

Figure 2 is a schematic flow chart of the air conditioning intelligent control method according to the embodiment of the present invention;

Figure 3 is another schematic flow chart of the air conditioning intelligent control method according to the embodiment of the present invention.

Detailed ways

In order to make the above objects, features and advantages of the present invention more obvious and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all of the embodiments. It should be noted that, as long as there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other. Those skilled in the art can make adjustments to suit specific applications as needed.

With the development and progress of the times, consumers no longer only focus on the hardware quality of the product when choosing air conditioners, but pay more attention to the use experience. Existing air conditioners usually require users to manually set operating parameters according to their own needs, including operating mode and based on this, temperature, air volume, blowing direction, etc. The operation is very cumbersome. In order to meet market demand, the functions of air conditioners have become increasingly diverse and the controls have become more sophisticated, which undoubtedly further increases the difficulty of operation and leads to poor user experience.

With the rapid development of technologies such as artificial intelligence and machine learning, intelligent control methods related to air conditioners have gradually become a research hotspot. To this end, the applicant proposes the following technical solutions.

As shown in Figure 1, the air conditioner remote control includes smart mode and normal mode. The two modes can be switched at any time; in smart mode, data can be read or stored; in normal mode, click on the operation record to store operating parameters; Correspondingly, the controller of the air conditioner can store or read the operating parameters. When the operating parameters are read, the air conditioner performs load operation according to the read parameters.

The air conditioner enters the smart mode by default. When the user clicks on the normal mode, it jumps to the normal mode. At this time, the priority of the pre-judgment mode is lower than the manual setting. After turning on the air conditioner again, the pre-judgment mode will run by default; after clicking "Modify", it will enter the data input by default. interface, you can modify the first node corresponding to the current running time. Click "Others" to browse all nodes or modify any node. Click "Smart Mode" to jump to the smart mode; click "Record" to record the parameters of the first node, and run the pre-stored mode by default after booting again. If there is no stored data, it will run in the pre-judgment mode; if there is stored data, when the pre-storage mode of the first node is consistent with the pre-judgment mode, the pre-storage mode will be run, and the cooling, heating and other modes will be run according to the parameters set by the user. The user needs to adjust multiple times to achieve a better user experience; if they are inconsistent, the pre-judgment mode will be run; in order to avoid affecting the user experience, when the two do not match, the pre-judgment mode will be used for air conditioning control to meet the user's basic requirements for temperature adjustment. Great experience. When there is no first node data but there is second node data, if the pre-storage mode of the second node is consistent with the pre-judgment mode, the operating parameters will be recorded to the first node, otherwise the pre-judgment mode will be run and recorded in the first node.

As shown in Figure 2-3, the present invention provides an air conditioner intelligent control method, including:

S1. Turn on the computer and identify the user;

Specifically, the following steps are adopted:

S11. The air conditioner is turned on and the location of the object is obtained through radar scanning;

S12. Obtain the infrared information of the object, and when the detected temperature is 35-40°C, obtain the indoor image information;

S13. Perform face recognition based on the image information to obtain the user's identity information.

The user's identity information is detected and determined through radar scanning, infrared temperature measurement and face recognition, and multi-level operations and judgments are used to reduce the amount of image processing data and ensure the accuracy of the user's identity information. Preferably, the radar is a millimeter-wave radar, and uses an infrared thermometer to detect the user's body temperature. The specific detection method is an existing technology and will not be described in detail here.

S2. Determine whether the "normal mode" command is received. If so, the air conditioner operates according to the received control command and records and stores relevant data. The data includes the user's identity information, the node corresponding to the current moment, and operating parameters; If not, go to step S3;

The operating parameters include operating mode, preset temperature, windshield, wind angle, and wind speed. The operating modes include cooling mode, heating mode, comfort mode, and defrost mode.

S3. Determine the operating mode of the air conditioner based on the pre-stored mode and the pre-judgment mode.

Specifically, step S3 includes:

S31. Determine whether to store the user's data information. If yes, proceed to step S32; if not, obtain the prediction mode based on the relationship between the outdoor temperature T _{outer ring} , the indoor temperature T _{inner ring} and the preset value. The air conditioner is Prejudgment mode operation;

Preferably, the prediction mode adopts the following method:

S311. Detect and determine whether T _{outer ring} ≥ _{T 1.} If so, the air conditioner runs in the cooling mode; if not, enter step S312;

S312. Detect and determine whether T _{inner loop} ≥ _{T 2} . If so, the air conditioner operates in the cooling mode; if not, enter step S313;

S313. Detect and determine whether T _{inner ring} ≤ T ₃ . If so, the air conditioner operates in the heating mode; if not, the air conditioner maintains the original operating mode.

As an example of the present invention, the values of T ₁ , T ₂ , and T ₃ are respectively 28-31°C, 25.5-26.5°C, and 18-22°C. Preferably, the values of T ₁ , T ₂ , and T ₃ They are 30℃, 26℃, and 19-a℃ respectively, where a is the compensation temperature of the internal environment in heating mode, such as 1-3℃.

S32. Determine whether the data contains the pre-stored mode of the first node. The first node is the node corresponding to the current moment. If so, control the operation of the air conditioner according to the pre-stored mode of the first node; if not, proceed to steps S33;

Preferably, the corresponding duration of the first node in step S32 is X×24h/n, n is a positive integer, and the value of X is 0.1-1. The second node and the first node are in different time periods with the same duration. For example, air conditioners record by day, week, or month, and each recording period is divided into multiple nodes. For example, there are 24 nodes every day, such as 1:00, 2:00, 3:00..., 24:00. ; Or there are 48 nodes every day, such as 1:00, 1:30, 2:00, 2:30...23:30, 24:00. Preferably, when entering the next month, the user is asked whether to copy the current month's data to the next month. After the user agrees, the copy is performed and the changes in the next month are recorded in the next month. Otherwise, no data is stored in the next month.

S33. Obtain the pre-stored mode of the second node; determine whether the pre-stored mode of the second node is consistent with the pre-determined mode. The second node is the node closest to the first node and has data storage. If so, the air conditioner The air conditioner operates according to the predetermined mode of the second node. If not, the air conditioner operates according to the predetermined mode.

S34. Record and store user information, nodes corresponding to the current moment, and operating parameters.

Preferably, before storing any operating parameters, it is judged whether the operating time of the air conditioner under the corresponding operating parameters reaches the rated time t ₂ . If so, the corresponding operating parameters will be stored as valid parameters; if not, the corresponding operating parameters will be stored. The running parameters are regarded as invalid parameters and will not be stored. Preferably, after the air conditioner stores the effective parameters of the current user and the current node, it deletes the previously stored operating parameters of the current user and the current node. Preferably, the t ₂ is 1-3 min, such as 1 min.

This invention uses radar, infrared temperature measurement, and face recognition to accurately identify different operating users. By associating and storing user information, current nodes, and air conditioning operating parameters, the discrete data is spliced to form a control line on the time axis to achieve startup. Automatically enter the operating mode that matches the user; at the same time, the pre-stored mode and the pre-judgment mode are compared and adjusted to prevent misjudgment, ensuring accurate, reliable and comfortable air conditioning control.

The present invention also provides a readable storage medium on which a computer program is stored. When the computer program is executed, the above-mentioned air conditioning intelligent control method is implemented. The readable storage medium may be a readable storage medium or a readable signal medium, such as a USB flash drive, mobile hard disk, ROM, RAM, magnetic disk or optical disk, etc. In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or can be integrated into another system, or some features can be ignored, or not implemented.

The present invention also provides an air conditioner, which includes a readable storage medium storing a computer program and a processor. When the computer program is read and run by the processor, the above-mentioned air conditioner intelligent control method is implemented. The air conditioner can be a cabinet air conditioner, a wall-mounted air conditioner, a ceiling air conditioner, a fresh air air conditioner, etc.; the readable storage medium and the air conditioner have the same beneficial effects as the air conditioner intelligent control method, which will not be described in detail here. .

Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims.

Claims (7)

1. An intelligent control method of an air conditioner is characterized by comprising the following steps:

s1, starting up, identifying a user, and comprising the following steps:

s11, starting up and running an air conditioner, and acquiring the position of an object through radar scanning;

s12, acquiring infrared information of the object, and acquiring indoor image information when the detection temperature is 35-40 ℃;

s13, performing face recognition according to the image information to acquire the identity information of the user;

s2, judging whether a normal mode instruction is received, if so, operating the air conditioner according to the received control instruction, and recording and storing related data, wherein the data comprises the identity information of the user, the node corresponding to the current moment and the operation parameter; if not, entering step S3;

s3, determining the operation mode of the air conditioner according to the pre-stored mode and the pre-judging mode, wherein the operation mode comprises the following steps:

s31, judging whether to store the data information of the user, if so, entering a step S32; if not, according to the outdoor temperature T _{Outer ring} Indoor temperature T _{Inner ring} Acquiring a pre-judging mode according to the magnitude relation with a preset value, and operating the air conditioner according to the pre-judging mode; the pre-judging mode is determined by the following method:

s311, detecting and judging whether T is _{Outer ring} ≥T ₁ If yes, the air conditioner operates in a refrigeration mode; if not, go to step S312;

s312, detecting and judging whether T is _{Inner ring} ≥T ₂ If yes, the air conditioner operates in a refrigeration mode; if not, go to step S313;

s313, detecting and judging whether T is _{Inner ring} ≤T ₃ If yes, the air conditioner operates in a heating mode; if not, the air conditioner keeps the original mode operation;

s32, judging whether the data contain a pre-stored mode of a first node, wherein the first node is a node corresponding to the current moment, and if so, controlling the operation of an air conditioner according to the pre-stored mode of the first node; if not, go to step S33;

inquiring whether to copy the current month data to the next month if entering the next month, copying after the user agrees, and recording in the next month when changing the content in the next month, otherwise, storing no data in the next month;

s33, acquiring a pre-stored mode of a second node, judging whether the pre-stored mode of the second node is consistent with the pre-judged mode, wherein the second node is the node which is closest to the first node and has data storage, if so, the air conditioner operates according to the pre-stored mode of the second node, and if not, the air conditioner operates according to the pre-judged mode;

s34, recording and storing user information, nodes corresponding to the current moment and operation parameters.

2. The intelligent control method according to claim 1, wherein the operation parameters in step S2 include an operation mode, a preset temperature, a damper, a wind swinging angle, and a wind swinging speed.

3. The intelligent control method according to claim 2, wherein the operation mode in step S2 includes a cooling mode, a heating mode, a comfort mode, and a defrost mode.

4. The intelligent control method according to claim 1, wherein in step S32, the corresponding duration of the first node is x×24h/n, n is a positive integer, and X is 0.1-1.

5. The intelligent control method of an air conditioner according to claim 1, wherein step S2 further comprises: before any operation parameter is stored, judging whether the operation time of the air conditioner under the corresponding operation parameter reaches the rated time t ₂ If yes, storing the corresponding operation parameters as effective parameters; if not, the corresponding operation parameters are taken as invalid parameters and are not stored.

6. A readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed, implements the intelligent control method of an air conditioner according to any one of claims 1-5.

7. An air conditioner comprising a readable storage medium storing a computer program and a processor, the computer program implementing the intelligent control method of air conditioner according to any one of claims 1-5 when read and run by the processor.