CN109827306B - Intelligent control method for unit operation and unit - Google Patents
Intelligent control method for unit operation and unit Download PDFInfo
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- 238000001816 cooling Methods 0.000 claims description 20
- 238000010438 heat treatment Methods 0.000 claims description 19
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention discloses an intelligent control method for unit operation and a unit, wherein the method comprises the following steps: when the unit is in a sleep mode, acquiring weather parameters; determining a rotation speed correction value according to the weather parameter; and correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value. Therefore, the current fan rotating speed in the sleep mode can be corrected by combining with weather parameters so as to provide the optimal auditory state for the user in the sleep stage, the intelligence of the control method is improved, and the use experience of the user is further improved.
Description
Technical Field
The invention relates to the field of units, in particular to an intelligent control method for unit operation and a unit.
Background
At present, air conditioners on the market are generally provided with a sleep mode, and under the sleep mode, the air conditioners can automatically adjust the room temperature, so that the room temperature can better meet the temperature requirement of a human body during sleep, and the comfort level of a user can be improved. However, the sleep mode is only adjusted according to the temperature, and there are many factors that affect the sleep quality of the user, such as: wind speed, etc. In the prior art, the adjustment parameters of the sleep mode of the air conditioner are single, the intelligence is low, and the use experience of a user cannot be well met.
Aiming at the problems that the intelligence of the sleep mode of the air conditioner in the related technology is low and the user experience can not be well met, an effective solution is not provided at present.
Disclosure of Invention
In order to solve the problems that the sleep mode of an air conditioner in the related art is low in intelligence and cannot well meet the user experience, the embodiment of the invention provides an intelligent control method for unit operation and a unit.
In a first aspect, an embodiment of the present invention provides an intelligent control method for unit operation, where the method includes:
when the unit is in a sleep mode, acquiring weather parameters;
determining a rotation speed correction value according to the weather parameter;
and correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value.
Further, the weather parameters include: the rainfall parameter, the rotation speed correction value is determined according to the weather parameter, and the method comprises the following steps:
and determining the rotation speed correction value according to the rainfall parameter.
Further, when the unit is in the sleep mode, acquiring the weather parameters includes:
acquiring weather parameters through the Internet and/or a sensor;
the weather parameters are current weather parameters and/or weather parameters with preset time length in the future.
Further, the weather parameters further include: ambient temperature;
after obtaining the weather parameters, the method further comprises:
and determining a temperature correction value according to the environment temperature, and correcting the current operating temperature of the sleep mode according to the temperature correction value.
Further, determining a rotation speed correction value according to the rainfall parameter comprises:
determining a weather state according to the rainfall parameters;
determining a corresponding rotating speed correction value according to the weather state;
the rainfall parameters comprise rainfall, wind power and thunderstorm degree.
Further, determining a weather condition based on the rainfall parameter comprises:
determining the weather state to be a white noise state under the condition that the rainfall, the wind power and the thunderstorm degree are all smaller than respective corresponding preset thresholds;
and under the condition that at least one of the rainfall, the wind power and the thunderstorm degree is greater than or equal to a corresponding preset threshold value, determining that the weather state is a severe noise state.
Further, determining a corresponding rotation speed correction value according to the weather state includes:
under different weather conditions, grading according to rainfall, wind power and thunderstorm degree;
and determining a corresponding fan rotating speed correction value according to each grade.
Further, the rotation speed correction value is determined by the following formula:
A＝B*C；
wherein, A is the rotating speed correction value, B is the current fan rotating speed in the sleep mode, and C is a preset proportion value, wherein the preset proportion value is increased along with the increase of the level.
Further, correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value, including:
determining a correction strategy corresponding to the weather state;
and according to the correction strategy, correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value.
Further, the weather state is a white noise state or a severe noise state;
determining that the correction strategy is realized by the following formula under the condition that the weather state is the white noise state:
D＝B-A；
in the case that the weather condition is the severe noise condition, determining that the correction strategy is implemented by the following formula:
D＝B+A；
and D is the corrected fan rotating speed, B is the current fan rotating speed in the sleep mode, and A is the rotating speed correction value.
Further, determining a temperature correction value based on the ambient temperature includes:
determining the difference value between the environment temperature and a preset temperature;
and determining a corresponding temperature correction value according to the difference value.
Further, the correcting the current operating temperature of the sleep mode according to the temperature correction value includes:
determining a type of the sleep mode;
determining a correction strategy corresponding to the type;
according to the correction strategy, correcting the current operating temperature of the sleep mode according to the temperature correction value;
wherein the types of sleep modes include: at least one of a cooling fast wake mode, a cooling comfort mode, a heating fast wake mode, and a heating comfort mode.
Further, determining a rework policy corresponding to the type includes:
in the case that the type is a cooling fast awake mode or a heating comfort mode, determining that the correction strategy is implemented by the following formula:
E＝F+G；
in the case that the type is a heating fast awake mode or a cooling comfort mode, determining that the correction strategy is implemented by the following formula:
E＝F-G；
wherein E is the corrected operating temperature, F is the current operating temperature of the sleep mode, and G is the temperature correction value.
In a second aspect, an embodiment of the present invention provides an assembly configured to perform the method of the first aspect, where the assembly includes a controller and a wireless communication module,
the wireless communication module is connected with a mobile terminal or a base station and is used for acquiring weather parameters when the unit is in a sleep mode;
the controller is used for determining a rotating speed correction value according to the weather parameter and correcting the current rotating speed of the fan in the sleep mode according to the rotating speed correction value;
and the fan is used for operating according to the corrected fan rotating speed.
Further, the wireless communication module includes: at least one of a Bluetooth module, a WIFI module and a GPRS module.
Further, the unit is an air conditioner.
By applying the technical scheme of the invention, when the unit is in the sleep mode, the weather parameters are obtained; determining a rotation speed correction value according to the weather parameter; and correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value. Therefore, the current fan rotating speed in the sleep mode can be corrected by combining with weather parameters so as to provide the optimal auditory state for the user in the sleep stage, the intelligence of the control method is improved, and the use experience of the user is further improved.
Drawings
FIG. 1 is a flow chart of a method for intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 3 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 5 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 6 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
FIG. 7 is a flow chart of a method of intelligent control of operation of a unit in accordance with an embodiment of the present invention;
fig. 8 is a block diagram of an assembly according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following drawings and specific embodiments, it being understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
In order to solve the problem that the sleep mode of an air conditioner in the related art is low in intelligence and cannot well meet the user experience, an embodiment of the present invention provides an intelligent control method for unit operation, as shown in fig. 1, the method includes:
s101, when the unit is in a sleep mode, acquiring weather parameters;
step S102, determining a rotation speed correction value according to weather parameters;
and S103, correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value.
Therefore, the current fan rotating speed in the sleep mode can be corrected by combining with weather parameters so as to provide the optimal auditory state for the user in the sleep stage, the intelligence of the control method is improved, and the use experience of the user is further improved.
It should be noted that the unit may be an air conditioner. The user can set the unit into a sleep mode before falling asleep, and can also set the sleep mode regularly, for example: the unit is set to start sleep mode six o' clock in the next morning. When the unit is in the sleep mode, can acquire weather parameter, when the unit is in the sleep mode, acquire weather parameter includes: acquiring weather parameters through the Internet and/or a sensor; the weather parameters are current weather parameters and/or weather parameters with preset time length in the future.
The preset time can be 12 hours or 24 hours, and the preset time can be set according to the requirements of users. It should be noted that the weather conditions of the area or the location where the air conditioner is located can be obtained through the internet, and the sensor can be a temperature and humidity sensor, is arranged outdoors, is in wireless communication connection with the air conditioner, and is used for sending the obtained weather parameters to the air conditioner.
It should be noted that the principle of this embodiment is to associate the acquired weather parameter with the rotation speed of the indoor unit fan, and provide the user with the optimal hearing state in the sleep stage. It is known that rain fall helps the human body to better enter a sleep state and improve the sleep experience in continuous or discontinuous rainy or light rainy weather, which is called as "white noise", while thunder fall in thunderstorm or thunderstorm weather greatly affects the sleep experience of the human body and even awakens the user from the sleep state. Properly reducing the rotating speed of the indoor fan in a white noise weather environment; under the weather environment of abominable noise, suitably improve indoor fan rotational speed, all be favorable to providing the best sense of hearing state at the sleep stage for the user, promote user's use and experience.
As can be seen from the above principles, in one possible implementation, the weather parameters include: the rainfall parameter, step S102, determining the rotation speed correction value according to the weather parameter comprises: and determining a rotation speed correction value according to the rainfall parameters.
Further, in a possible implementation manner, as shown in fig. 2, the determining the rotation speed correction value according to the rainfall parameter includes:
step S201, determining a weather state according to rainfall parameters;
step S202, determining a corresponding rotation speed correction value according to the weather state;
wherein the rainfall parameters are rainfall, wind power and thunderstorm degree, and in one possible implementation, determining the weather state according to the rainfall parameters comprises: determining the weather state as a white noise state under the condition that the rainfall, the wind power and the thunderstorm degree are all smaller than respective corresponding preset thresholds; and under the condition that at least one of the rainfall, the wind power and the thunderstorm degree is greater than or equal to a corresponding preset threshold value, determining that the weather state is a severe noise state.
In one possible implementation, as shown in fig. 3, determining the corresponding rotation speed correction value according to the weather condition includes:
step S301, under different weather conditions, grading according to rainfall, wind power and thunderstorm degree;
in step S302, a corresponding rotation speed correction value is determined for each level.
In a possible implementation manner, in the case that the weather state is a white noise state, the determined levels may be a first level, a second level, and a third level in sequence; when the weather state is a severe noise state, determining the levels to be a fourth level, a fifth level and a sixth level in sequence; the rainfall of the first level is smaller than that of the second level and smaller than that of the third level, and the rainfall is lower than the rainfall early warning value; the wind power of the first level is smaller than that of the second level and smaller than that of the third level, and the wind power is lower than the wind power early warning value; the thunderstorm degrees of the first grade, the second grade and the third grade are all no thunderstorms; the rainfall of the fourth level is smaller than that of the fifth level and is smaller than that of the sixth level, and the rainfall is higher than the rainfall early warning value; the wind power of the fourth grade is smaller than that of the fifth grade and is smaller than that of the sixth grade, and the wind power is higher than the wind power early warning value; the level of thunderstorms at the fourth level is less than the level of thunderstorms at the fifth level is less than the level of thunderstorms at the sixth level. It can be understood that the weather conditions can be directly obtained through the internet, the grade conditions can also be directly obtained through the internet, or after the weather conditions are obtained, the unit analyzes and determines the grade conditions. In one possible embodiment, the speed correction value is determined by the following formula: a ═ B × C; wherein, A is a rotating speed correction value, B is the current fan rotating speed in the sleep mode, and C is a preset proportion value, wherein the preset proportion value is increased along with the increase of the grade.
In a possible implementation manner, as shown in fig. 4, the modifying the current fan speed in the sleep mode according to the speed modification value includes:
step S401, determining a correction strategy corresponding to the weather state;
and S402, correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value according to a correction strategy. For example: in the case that the weather state is a white noise state, determining the correction strategy is realized by the following formula: d is B-A; in the case that the weather condition is a severe noise condition, determining the correction strategy is implemented by the following formula: d is B + A; and D is the corrected fan rotating speed, B is the current fan rotating speed in the sleep mode, and A is the rotating speed correction value.
Specifically, under the natural background noise of different weather environments, the adjustment ratio of the indoor fan rotating speed is shown in table 1 below,
TABLE 1
| First stage | Second stage | Three-stage | |
| White noise environment | -10％ | -15％ | -20％ |
| Harsh noise environment | +10％ | +15％ | +20％ |
And the weather environment rating rule, as shown in table 2:
TABLE 2
From this, can adjust the fan rotational speed according to the weather condition for indoor noise degree accords with user's sleep demand more, improves user's sleep comfort level.
It can be understood that table 2 is only one possible implementation way for dividing the weather condition, and when at least one parameter of the rainfall, the wind power and the thunderstorm is greater than or equal to the corresponding preset threshold, the weather condition can be judged as the severe noise condition.
It should be noted that, generally, a factory air conditioner has at least one temperature curve in a sleep mode (a user may also have a setting authority of the temperature curve) when the air conditioner leaves a factory, and when the user starts the sleep mode, the air conditioner may operate according to the set temperature curve. The temperature curve is set based on different requirements for temperature during the user falling asleep stage, deep sleep stage, and waking stage in the morning, and user experience can be improved to a certain extent. However, in actual life, there are many factors affecting comfort of a user, and a temperature curve is set only based on requirements of the user on temperature in different sleep stages, so that the intelligence is low, and the user experience cannot be well met, and based on this, as shown in fig. 5, in the embodiment of the present invention, the weather parameters may further include: the ambient temperature, after the step S101, acquiring the weather parameter, the method further includes:
step S501, determining a temperature correction value according to the ambient temperature;
and step S502, correcting the current operating temperature of the sleep mode according to the temperature correction value.
It should be noted that, in most of the sleep modes of the air conditioners on the market, in the cooling or heating mode, the change of the calorific value of the human body and the change of the somatosensory required temperature in the whole process from the waking state to the falling asleep state, from the light sleep state to the deep sleep state, and then from the deep sleep state to the waking state in the early morning are considered during the design, and the temperature curves of the sleep modes during the common cooling season and the heating season are as follows:
the sleep curve 1 of the cooling mode is that the temperature is properly increased in order to make the human body better adapt to the outdoor environment temperature in the early waking stage. The sleep curve 2 in the cooling mode is used for leading the human body to achieve a better mental state in the early waking stage, achieving the effects of waking up and getting up quickly, and properly reducing the temperature. The sleep curve 1 of the heating mode is that the temperature is properly reduced in order to make the human body better adapt to the outdoor environment temperature in the early morning waking stage. The sleep curve 2 of the heating mode is used for leading the human body to have a better comfortable state in the early morning waking stage, achieving the effects of waking up and getting up quickly, and properly increasing the temperature. The above approach does not take into account the possible impact of weather conditions on the user. The present application may determine the temperature correction value of the sleep mode according to the ambient temperature, and the following implementation specifically describes how to determine the temperature correction value according to the ambient temperature, and further corrects the current operating temperature of the sleep mode according to the temperature correction value.
As shown in fig. 6, the step S501 of determining the temperature correction value according to the ambient temperature includes:
step S601, determining a difference value between the ambient temperature and a preset temperature;
and step S602, determining a corresponding temperature correction value according to the difference value.
In one possible implementation, determining the corresponding temperature correction value according to the difference value includes: when T is less than or equal to T1, determining the corresponding temperature correction value as a; when T is more than T1 and less than or equal to T2, determining the corresponding temperature correction value as b; when T is more than T2 and less than or equal to T3, determining the corresponding temperature correction value as c; when T is more than T3 and less than or equal to T4, determining the corresponding temperature correction value as d, and when T4 and less than T, determining the corresponding temperature correction value as e; wherein T1, T2, T3 and T4 are all preset differences, T1 is more than T2 and more than T3 is more than T4, T is the difference between a preset temperature and an ambient temperature, and a is more than b and more than c and more than d and less than e. As shown in table 3 below.
TABLE 3
| T≤t1 | t1＜T≤t2 | t2＜T≤t3 | t3＜T≤t4 | t4＜T | |
| Correction value for temperature | a | b | c | d | e |
It is understood that the ambient temperature may be an average of the ambient temperature over a predetermined time in the future, and the predetermined time may be 2 hours, 1 hour, 0.5 hour, and the like.
For example, t1, t2, t3, t4 and a, b, c, d, e may take the values-2, 6, 10 and-1, 0, 1, 2, 3, respectively. That is, as the difference increases, the temperature correction value may increase.
In one possible implementation manner, as shown in fig. 7, the step S502 of correcting the current operating temperature of the sleep mode according to the temperature correction value includes:
step S701, determining the type of the sleep mode;
step S702, determining a correction strategy corresponding to the type;
s703, correcting the current operating temperature of the sleep mode according to a correction strategy and a temperature correction value;
wherein the types of sleep modes include: at least one of a cooling fast wake mode, a cooling comfort mode, a heating fast wake mode, and a heating comfort mode.
Wherein determining the revision policy corresponding to the type includes: in the case of the type being the cooling fast awake mode or the heating comfort mode, determining the correction strategy is implemented by the following formula: e ═ F + G; in the case that the type is the heating fast awake mode or the cooling comfort mode, determining the correction strategy is implemented by the following formula: e ═ F-G; wherein E is the corrected operating temperature, F is the current operating temperature of the sleep mode, and G is the temperature correction value. In combination with the above implementation manner, when the type is the cooling comfort mode, the cooling mode is usually started in summer, the outdoor temperature is high, and the difference value of the cooling comfort mode should be reduced as much as possible in order to make the temperature closer to the outdoor temperature. The larger the difference, the larger the correction value. And the correction strategy is E ═ F + G, when the type is the heating fast wake-up mode, the winter is usually when the heating mode is started, and the outdoor temperature is low, but in this mode, in order to make the user wake-up quickly, the indoor temperature should be reduced as much as possible to make the outdoor temperature, and the correction strategy is also E ═ F + G. Conversely, in the case of the type of heating fast awake mode or cooling comfort mode, the determined correction strategy is: it should be noted that the manner of determining the correction value is not limited to the above implementation, and the correction value may be set in a proportional relationship with the temperature difference. The invention is not limited in this regard.
Therefore, the sleep mode can be corrected by combining the weather parameters, so that the conditions that the room temperature is too low in the early waking stage period caused by a fixed sleep temperature curve, the user catches a cold and the like are avoided, the intelligence of the control method is improved, and the use experience of the user is further improved.
Fig. 8 shows an assembly according to an embodiment of the invention, the assembly comprising a controller 1, a wireless communication module 2 and a fan 3;
the wireless communication module 2 is connected with the mobile terminal or the base station and is used for acquiring weather parameters when the unit is in a sleep mode;
the controller 1 is used for determining a rotating speed correction value according to the weather parameter and correcting the current rotating speed of the fan in the sleep mode according to the rotating speed correction value;
and the fan 3 is used for operating according to the corrected fan rotating speed.
Wherein, wireless communication module includes: at least one of a Bluetooth module, a WIFI module and a GPRS module.
And the weather parameters include: ambient temperature, rainfall parameters; the controller 1 is used for determining a temperature correction value of the sleep mode according to the ambient temperature; and/or determining a rotation speed correction value of the sleep mode according to the rainfall parameter. It can be understood that the unit can be an air conditioner, which is composed of: the controller 1 is used for storing control programs of the air conditioner, including related control programs of a sleep mode and the like. And the fan 3 is used for conveying the adjusted air, and the change of the rotating speed of the fan can realize the change of the air volume. The wireless communication module can be a GPRS module, and the module can be used for data transmission with the controller and can be connected with a communication base station for data transmission. In order to achieve the acquisition of weather parameters, the GPRS module can perform data transmission with a remote server through a mobile network or a WIFI network, the remote server can send future weather parameters of the position where the air conditioner is located to the GPRS module, the GPRS module sends the data to the controller 1, the controller 1 processes the data, and the air conditioner is controlled to operate. And the air conditioner also can integrate the WIFI module, realizes the transmission of data through the wireless network environment of access user's home. It can be understood that the wireless communication module may also be a bluetooth module, and the bluetooth module may perform weather data synchronization with a mobile device (e.g., a mobile phone, a tablet computer, etc.) of a user after being paired by connecting with the mobile device.
Therefore, the sleep mode can be corrected by combining with the weather parameters, so that the condition that the room temperature is too low in the early waking stage period due to a fixed sleep temperature curve, the user catches a cold and the like can be avoided. The wind speed can be adjusted according to weather parameters, so that the indoor noise condition is more in line with the sleep requirement of a user, the intelligence of the control method is improved, and the use experience of the user is further improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a mobile terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments illustrated in the drawings, the present invention is not limited to the embodiments, which are illustrative rather than restrictive, and it will be apparent to those skilled in the art that many more modifications and variations can be made without departing from the spirit of the invention and the scope of the appended claims.
Claims (16)
1. An intelligent control method for the operation of a unit, the method comprising:
when the unit is in a sleep mode, acquiring weather parameters;
determining a rotation speed correction value according to the weather parameter;
correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value;
the weather parameters include: the rainfall parameter, the rotation speed correction value is determined according to the weather parameter, and the method comprises the following steps: determining the rotation speed correction value according to the rainfall parameter;
determining a rotation speed correction value according to the rainfall parameter, comprising: determining a weather state according to the rainfall parameters; determining a corresponding rotating speed correction value according to the weather state;
determining a corresponding rotation speed correction value according to the weather state, wherein the rotation speed correction value comprises the following steps:
grading according to the rainfall parameters under different weather conditions; and determining a corresponding fan rotating speed correction value according to each grade.
2. The method of claim 1, wherein obtaining weather parameters while the crew is in a sleep mode comprises:
acquiring weather parameters through the Internet and/or a sensor;
the weather parameters are current weather parameters and/or weather parameters with preset time length in the future.
3. The method of claim 1, wherein the weather parameters further comprise: ambient temperature;
after obtaining the weather parameters, the method further comprises:
and determining a temperature correction value according to the environment temperature, and correcting the current operating temperature of the sleep mode according to the temperature correction value.
4. The method of claim 1,
the rainfall parameters comprise rainfall, wind power and thunderstorm degree.
5. The method of claim 4, wherein determining a weather condition based on the rainfall parameters comprises:
determining the weather state to be a white noise state under the condition that the rainfall, the wind power and the thunderstorm degree are all smaller than respective corresponding preset thresholds;
and under the condition that at least one of the rainfall, the wind power and the thunderstorm degree is greater than or equal to a corresponding preset threshold value, determining that the weather state is a severe noise state.
6. The method according to claim 1, characterized in that the speed correction value is determined by the following formula:
A＝B*C；
wherein, A is the rotating speed correction value, B is the current fan rotating speed in the sleep mode, and C is a preset proportion value, wherein the preset proportion value is increased along with the increase of the level.
7. The method of claim 1, wherein correcting the sleep mode current fan speed according to the speed correction value comprises:
determining a correction strategy corresponding to the weather state;
and according to the correction strategy, correcting the current fan rotating speed in the sleep mode according to the rotating speed correction value.
8. The method of claim 7, wherein the weather condition is a white noise condition or a severe noise condition;
determining that the correction strategy is realized by the following formula under the condition that the weather state is the white noise state:
D＝B-A；
in the case that the weather condition is the severe noise condition, determining that the correction strategy is implemented by the following formula:
D＝B+A；
and D is the corrected fan rotating speed, B is the current fan rotating speed in the sleep mode, and A is the rotating speed correction value.
9. The method of claim 3, wherein determining a temperature correction value based on the ambient temperature comprises:
determining the difference value between the environment temperature and a preset temperature;
and determining a corresponding temperature correction value according to the difference value.
10. The method of claim 3, wherein correcting the current operating temperature of the sleep mode according to the temperature correction value comprises:
determining a type of the sleep mode;
determining a correction strategy corresponding to the type;
according to the correction strategy, correcting the current operating temperature of the sleep mode according to the temperature correction value;
wherein the types of sleep modes include: at least one of a cooling fast wake mode, a cooling comfort mode, a heating fast wake mode, and a heating comfort mode.
11. The method of claim 10, wherein determining a rework policy corresponding to the type comprises:
in the case that the type is a cooling fast awake mode or a heating comfort mode, determining that the correction strategy is implemented by the following formula:
E＝F+G；
in the case that the type is a heating fast awake mode or a cooling comfort mode, determining that the correction strategy is implemented by the following formula:
E＝F-G；
wherein E is the corrected operating temperature, F is the current operating temperature of the sleep mode, and G is the temperature correction value.
12. An assembly for carrying out the method of any one of claims 1 to 11, the assembly comprising a controller, a wireless communication module and a fan,
the wireless communication module is connected with a mobile terminal or a base station and is used for acquiring weather parameters when the unit is in a sleep mode;
the controller is used for determining a rotating speed correction value according to the weather parameter and correcting the current rotating speed of the fan in the sleep mode according to the rotating speed correction value;
and the fan is used for operating according to the corrected fan rotating speed.
13. The assembly according to claim 12,
the wireless communication module includes: at least one of a Bluetooth module, a WIFI module and a GPRS module.
14. The aggregate according to any of claims 12 to 13,
the unit is an air conditioner.
15. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a method for intelligent control of the operation of a unit according to any one of claims 1-11 when executing said program.
16. A storage medium containing computer executable instructions for performing an intelligent control method of the operation of a unit as claimed in any one of claims 1 to 11 when executed by a computer processor.
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| JP2021116953A (en) * | 2020-01-24 | 2021-08-10 | 三菱電機株式会社 | Heat pump hot water supply device and control method of heat pump hot water supply device |
| CN113028568B (en) * | 2021-03-22 | 2022-09-20 | 广东积微科技有限公司 | Air conditioner control method and device, computer equipment and storage medium |
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