CN112032973B - Heat accumulation instruction issuing control method - Google Patents
Heat accumulation instruction issuing control method Download PDFInfo
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- CN112032973B CN112032973B CN201910482307.2A CN201910482307A CN112032973B CN 112032973 B CN112032973 B CN 112032973B CN 201910482307 A CN201910482307 A CN 201910482307A CN 112032973 B CN112032973 B CN 112032973B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
Abstract
The invention relates to the technical field of air conditioning, in particular to a method for issuing and controlling a heat storage instruction. The invention aims to solve the problem of low intelligent degree of the existing air conditioner. To this end, the heat accumulation instruction issuing control method of the present invention includes: when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; and selectively sending the underground heat accumulation instruction based on the calculation result. Through the control mode, the control method can improve the intelligent degree and the user experience of the air conditioner.
Description
Technical Field
The invention relates to the technical field of air conditioning, in particular to a method for issuing and controlling a heat storage instruction.
Background
When the air conditioner is started in cold winter, because the indoor and outdoor temperature is low, the air blown out after the air conditioner is started is cold air, the user experience is seriously influenced, and therefore, the existing air conditioner is started and provided with a cold air prevention mode. When the cold air prevention mode is started, the compressor and the outdoor fan are controlled to be started to store heat, and the indoor fan is controlled to operate after the temperature rises, so that the condition that cold air is blown out when the air conditioner is started is avoided. However, in practical applications, the waiting time of the air conditioner is long due to the operation of the cold air prevention mode within a few minutes after the air conditioner is started, which brings a problem feeling to users, and causes discontent and complaints of the users.
In order to solve the above problems, the prior art has a solution: the effect of immediately discharging hot air when the air conditioner is started is achieved by firstly acquiring the preset starting time of the air conditioner in the shutdown state of the air conditioner and then firstly controlling the compressor to store heat for the coil pipe of the indoor unit before the preset starting time comes. Although the technical scheme solves the problem that the cold air prevention mode needs waiting to a certain extent and realizes the effect of hot air outlet when the machine is started, the following problems inevitably exist: the preset starting time is usually set by the user actively, and the user setting the starting time not only increases the starting complexity, but also easily causes the reduction of user experience because the user forgets to set the starting time.
Accordingly, there is a need in the art for a new method for controlling issuance of a thermal storage command to solve the above-mentioned problems.
Disclosure of Invention
In order to solve the above problems in the prior art, that is, to solve the problem of low intelligence degree of the existing air conditioner, the present invention provides a method for controlling the issuance of a heat storage instruction, where the heat storage instruction is used to control the air conditioner to start a heat storage mode in advance for heat storage, and the issuance control method includes:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system;
selectively issuing a heat storage instruction based on the calculation result;
the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time.
In a preferred embodiment of the above method for controlling issuance of a heat accumulation instruction, the step of calculating a probability score of the air conditioner starting a heating mode at the next predicted starting time based on a pre-established scoring system further includes:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
In a preferred embodiment of the above method for controlling issuance of a heat accumulation instruction, the step of calculating a probability score that the air conditioner is turned on in the heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy further includes:
and calculating weighted values of the historical opening probability, the recent opening probability and the historical prediction accuracy.
In a preferred embodiment of the above method for controlling issuance of a heat accumulation command, the step of calculating a probability score of the air conditioner turning on the heating mode at the next predicted turn-on time based on a pre-established scoring system when the predicted time point is reached further includes:
when the predicted time point is reached, acquiring the running state of the air conditioner and the indoor environment temperature;
and when the air conditioner is in a shutdown state and the indoor environment temperature is lower than a preset temperature, calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on a pre-established scoring system.
In a preferred embodiment of the above method for controlling issuance of a thermal storage command, "selectively issuing a thermal storage command underground based on a calculation result" further includes:
and when the probability score is larger than a set threshold value, issuing the heat storage instruction.
In a preferred embodiment of the above method for controlling issuance of a thermal storage command, "selectively issuing a thermal storage command underground based on a calculation result" further includes:
and when the probability score is less than or equal to the set threshold, not issuing the heat storage instruction.
In a preferred embodiment of the above method for controlling the issuance of the heat storage command, the method further includes:
selectively determining the predicted time point based on historical operation information of the air conditioner.
In a preferred embodiment of the above method for controlling issuance of a heat storage command, the step of "selectively determining the predicted time point based on historical operation information of the air conditioner" further includes:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
In a preferable embodiment of the above method for controlling issuance of a heat storage command, the step of "selectively determining the predicted time point based on historical operation information of the air conditioner" further includes:
when the activity of the air conditioner is low, the air conditioner is not predicted.
In a preferred embodiment of the method for controlling issuance of a heat accumulation command, the set number of days is 7 days.
As can be understood by those skilled in the art, in a preferred embodiment of the present invention, a method for controlling issuance of a heat storage instruction includes: when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; selectively issuing a heat storage instruction based on the calculation result; the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time.
Through the control mode, the control method can improve the intelligent degree and the user experience of the air conditioner. Specifically, when the predicted time point is reached, the probability score of the air conditioner for starting the heating mode at the next predicted starting time is calculated based on the scoring system, the control method can reasonably predict the probability of the user for starting the air conditioner at the next predicted starting time based on the historical information of the air conditioner used by the user, and therefore, a heat storage instruction is issued in time when the probability of starting the air conditioner is high, so that the air conditioner is controlled to store heat in advance, and the air conditioner can be started to be heated immediately when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience.
Further, by calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Furthermore, the predicted time points are selectively determined based on the historical operation information of the air conditioner, and the control method can effectively screen the predicted starting time of the user which uses the air conditioner frequently, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Drawings
The heat accumulation instruction issuance control method according to the present invention is described below with reference to the drawings. In the drawings:
fig. 1 is a flowchart of a heat accumulation instruction issuance control method according to the present invention;
FIG. 2 is a schematic diagram of a scoring system of the heat accumulation instruction issuing control method of the invention;
fig. 3 is a flowchart of the method for controlling issuance of a heat accumulation instruction according to the present invention for determining a predicted time point;
fig. 4 is a logic diagram of a heat accumulation command issuance control method according to the present invention.
Detailed Description
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention. For example, although the control method in the following embodiments is described with reference to the cloud server as an implementation subject, the implementation subject of the control method is not invariable, and those skilled in the art can adjust the control method so that the control method is applied to a more specific application scenario. For example, the control method may also be stored in the form of a computer program inside a controller of the air conditioner and executed by the controller, or implemented by both the cloud server and the controller of the air conditioner.
First, referring to fig. 1, a method of controlling issuance of a heat accumulation instruction according to the present invention will be described. Fig. 1 is a flowchart of a heat accumulation instruction issuance control method according to the present invention.
As shown in fig. 1, in order to solve the problem of low intelligent degree of the existing air conditioner, the method for controlling the issuance of the heat storage instruction mainly includes the following steps:
s100, when the predicted time point is reached, acquiring the running state of the air conditioner and the indoor environment temperature; the predicted time point is a certain time point before the predicted starting time, and the predicted starting time is the time of the user for frequently starting and heating calculated by the cloud server. For example, the cloud server calculates the average time of the user for frequent on-time heating to be 19:00, and the predicted time point may be 1 hour before 19:00, that is, 18:00, and when 18:00 is reached, the cloud server obtains the operating state of the air conditioner and the indoor ambient temperature. And the cloud end server receives the running state uploaded by the air conditioner and the detected indoor environment temperature.
S200, when the air conditioner is in a shutdown state and the indoor environment temperature is lower than a preset temperature, calculating the probability score of starting a heating mode of the air conditioner at the next predicted startup time based on a pre-established scoring system; for example, the preset temperature may be 16 ℃, and when the air conditioner is in a shutdown state and the indoor environment temperature is less than 16 ℃, it is proved that the air conditioner is not operated and the indoor environment temperature is low, and advanced heat storage is required. At the moment, the cloud server calls a pre-established scoring system to calculate the probability score of the user for starting and heating at 19:00, namely the probability of the user for starting and heating at 19: 00. The scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time, namely, after 19:00 is input into the scoring system, the scoring system can calculate the probability of the air conditioner being started by a user for heating at the time point based on the historical operation information and the historical prediction information of the air conditioner.
S300, selectively issuing a heat storage instruction based on a calculation result; for example, on the premise of a full score of 100, the scoring system calculates the probability score of 80 points when the user turns on the air conditioner for heating at 19:00 at 18:00 (namely, the probability of turning on the air conditioner is 80%), which proves that the user is very likely to turn on the air conditioner for heating at 19:00, and at this time, the cloud server immediately issues a heat storage instruction to control the air conditioner to store heat, so that the air conditioner can immediately emit hot air when the user turns on the air conditioner for heating at 19: 00. For another example, the scoring system calculates that the probability score of the user turning on the air conditioner for heating at 19:00 is 50, which proves that the user is most likely not to turn on the air conditioner at 19:00, and the cloud server does not issue a heat storage instruction at this time.
Through the control mode, the control method can improve the intelligent degree and the user experience of the air conditioner. Specifically, when the predicted time point is reached, the probability score of the air conditioner for starting the heating mode at the next predicted starting time is calculated based on the scoring system, the control method can reasonably predict the probability of the user for starting the air conditioner at the next predicted starting time based on the historical information of the air conditioner used by the user, and therefore, a heat storage instruction is issued in time when the probability of starting the air conditioner is high, so that the air conditioner is controlled to store heat in advance, and the air conditioner can be started to be heated immediately when the user starts the air conditioner. In addition, the prediction process is completely and automatically completed, so that the control method can improve the intelligent degree of the air conditioner and improve the user experience.
The heat accumulation instruction issuance control method according to the present invention will be further described with reference to fig. 2 and 3. Fig. 2 is a schematic diagram of a scoring system of the heat accumulation instruction issuing control method according to the present invention; fig. 3 is a flowchart of determining a predicted time point in the heat accumulation instruction issuance control method according to the present invention.
As shown in fig. 2, in a preferred embodiment, the step S100 may further include: inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time; obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days; obtaining historical prediction accuracy of the next predicted starting-up time based on historical prediction information; calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the historical starting probability, the recent starting probability and the historical prediction accuracy; the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability. Specifically, as shown in fig. 2, in the present embodiment, after the predicted startup time is input into the scoring system, the score calculated by the scoring system is derived from three parts, the first part is the historical opening frequency calculated based on the trained heating probability model; the second part is the recent opening probability obtained based on the number of times of opening within the set number of days at the predicted starting time; the third part is historical prediction accuracy of the predicted starting-up time obtained based on historical prediction information; the probability score can be weighted values of historical opening probability, recent opening probability and historical prediction accuracy, and the weights of the three parts in the scoring system can be 70 points, 15 points and 15 points respectively.
In the first part, the process of establishing the heating probability model may specifically be: and establishing a model by taking the historical starting and heating time, the starting times corresponding to the starting and heating time and the total operation days of the air conditioner as characteristic data to obtain the corresponding relation between the historical starting and heating time and the historical starting probability, and inputting the predicted starting time into the model so as to output the historical starting probability corresponding to the predicted starting time. In the second part, the set number of days may be the last 7 days, the recent opening probability of the last 7 days with the number of opening days increased by 1 day is increased by 20%, and when the number of opening days is more than 5 days, the recent opening probability is 100%. In the third part, the historical prediction information may be a ratio of a predicted correct number to a predicted total number in the historical prediction of the predicted boot-up time.
For example, after the next predicted boot time is 19:00 and is input into the scoring system, the heating probability model calculates that the historical boot probability at the boot time is 80%; if the number of opening days in nearly 7 days is 4 days, the recent opening probability is 80 percent; the correct prediction quantity at the time of predicting the startup at 19:00 is 7 times, the total quantity is 10 times, and the prediction accuracy is 70 percent; from this, the three probabilities are multiplied by their weights, respectively, and summed to obtain a probability score P of 80% × 70+ 80% × 15+ 70% × 15 of 78.5.
By calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on the calculated historical starting probability, the recent starting probability and the historical prediction accuracy, the control method can give consideration to the historical use habits, the recent use habits and the historical prediction accuracy of the user on the air conditioner to jointly determine the final probability score, so that the calculated probability score is more accurate and is more suitable for the recent use habits of the user.
Further, in a preferred embodiment, the step S300 may further include:
when the probability score is larger than a set threshold value, issuing a heat storage instruction; and when the probability score is less than or equal to the set threshold value, not issuing a heat storage instruction. For example, the set threshold may be 70 minutes, and when the probability score is greater than 70 minutes, it is proved that the user is likely to start the air conditioner for heating at the next predicted starting time, and at this time, the cloud server may issue a heat storage instruction to control the air conditioner to store heat for the indoor coil in advance, so that the user can directly output hot air when starting the air conditioner. On the contrary, when the probability score is less than or equal to 70 minutes, it is proved that the possibility that the user turns on the air conditioner for heating at the next predicted starting time is low, and in order to avoid unnecessary energy waste, the cloud server does not issue a heat storage instruction.
Further, referring to fig. 3, in a preferred embodiment, the predicted time point may be determined based on the following method:
the predicted time point is selectively determined based on historical operation information of the air conditioner. Specifically, based on historical operation information of the air conditioner, judging the activity of the air conditioner; when the activity of the air conditioner is high, counting the operation times of the air conditioner in a plurality of operation time periods within set days; selecting a plurality of operation time periods with operation times larger than the set times from a plurality of operation time periods; respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period; and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time. For example, the activity of the air conditioner may be defined as whether there is a heating startup behavior in the past few days (e.g., the past 3 days), and when there is a heating startup record in the past few days, the activity of the air conditioner is high, otherwise, the activity is low. When the activity degree is low, the user is proved to have less times of using the air conditioner, the probability of opening the air conditioner is lower, and whether the air conditioner stores heat or not is not predicted at the moment. When the activity of the air conditioner is high, the fact that a user uses the air conditioner frequently is proved, habits and rules of using the air conditioner are easier to analyze, the operation times of the air conditioner in a plurality of operation periods within set days (such as within the last 7 days) are counted, for example, the operation periods are counted by aggregating all the startup heating time according to 1 hour, then a plurality of periods with the startup times within 7 days greater than 4 times are selected from the plurality of operation periods, then the average value of all the startup time within each period is respectively calculated to be used as the predicted startup time of the operation period, and finally the time point obtained by subtracting 1 hour from each predicted startup time is used as the predicted time point, if a certain predicted startup time is 19:00, then 18:00 is the predicted time point of the predicted startup time.
By selectively determining the predicted time points based on the historical operation information of the air conditioner, the control method can effectively screen the predicted starting time of the air conditioner which is frequently used by the user, so that the predicted starting time is predicted in a targeted manner, and the use experience of the user is improved.
Referring to fig. 4, a possible issuing process of the heat accumulation instruction issuing control method according to the present invention will be described. Fig. 4 is a logic diagram of a heat accumulation instruction issuance control method according to the present invention.
As shown in fig. 4, in a possible delivery process, when the current time reaches 18:00, the cloud server receives the operation state and the indoor environment temperature of the air conditioner uploaded by the air conditioner → when the air conditioner is in the shutdown state and the indoor environment temperature is less than 16 ℃, based on the scoring system, the probability score of the predicted startup time 19:00 of the user after 1 hour for starting the air-conditioning heating mode is calculated to be 78.5 minutes → the probability score is greater than 70 minutes, so that the cloud server issues a heat storage instruction to the air conditioner, the air conditioner starts the compressor to operate at a lower frequency, the outdoor fan is started to operate, the coil temperature of the indoor heat exchanger rises → when the user arrives at home at about 19:00 and starts the air-conditioning heating mode, the air conditioner immediately outputs hot air.
It should be noted that the above preferred embodiments are only used for illustrating the principle of the present invention, and are not intended to limit the protection scope of the present invention. Without departing from the principles of the present invention, those skilled in the art can adjust the setting manner described above, so that the present invention can be applied to more specific application scenarios.
For example, in an alternative embodiment, the specific configuration of the scoring system is not limited to the above embodiment, and those skilled in the art can make adjustments to the scoring system without departing from the principles of the present invention, as long as the adjustments are sufficient to make the probability score calculated by the scoring system conform to the usage habit of the air conditioner by the user. For example, the scoring system may also be comprised of any one or two of the three parts described above.
For another example, in another alternative embodiment, although the steps in the above embodiment are described in a sequential manner, those skilled in the art will understand that, in order to achieve the effect of the embodiment, different steps need not be executed in such an order, and may be executed simultaneously (in parallel) or in an inverse order, even if some steps are omitted, and these simple changes are within the protection scope of the present invention. For example, step S100 may be omitted, and the calculation of the probability score may be performed directly on the next predicted boot-up time based on the scoring system. For example, when the predicted time is determined based on the historical operation information, the number of times the air conditioner is operated in a plurality of operation periods within the set number of days may be directly counted without determining the activity of the air conditioner.
As another example, in another alternative embodiment, specific values of the predicted time point, the predicted boot time, the probability score, the set number of days, the weight, etc. listed in this embodiment are only used as an illustrative description, and are not intended to limit the scope of the present invention, and a person skilled in the art may adjust the values without departing from the principle of the present control method.
Of course, the above alternative embodiments, and the alternative embodiments and the preferred embodiments can also be used in a cross-matching manner, so that a new embodiment is combined to be suitable for a more specific application scenario.
Those skilled in the art will appreciate that the air conditioner described above may also include other known structures such as processors, controllers, memories, etc., wherein the memories include, but are not limited to, ram, flash, rom, prom, volatile, non-volatile, serial, parallel, or registers, etc., and the processors include, but are not limited to, CPLD/FPGA, DSP, ARM processor, MIPS processor, etc. Such well-known structures are not shown in the drawings in order to not unnecessarily obscure embodiments of the present disclosure.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims of the present invention, any of the claimed embodiments may be used in any combination.
It should be noted that although the detailed steps of the method of the present invention have been described in detail, those skilled in the art can combine, separate and change the order of the above steps without departing from the basic principle of the present invention, and the modified technical solution does not change the basic concept of the present invention and thus falls into the protection scope of the present invention.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
Claims (7)
1. A heat storage instruction issuing control method is used for controlling an air conditioner to start a heat storage mode in advance for heat storage, and is characterized by comprising the following steps:
when the predicted time point is reached, calculating the probability score of starting the heating mode of the air conditioner at the next predicted starting time based on a pre-established scoring system; the predicted time point is a certain time point before the predicted starting-up time;
selectively issuing a heat storage instruction based on the calculation result;
the scoring system is used for representing the corresponding relation between historical operation information and historical prediction information of the air conditioner and the probability score of the air conditioner for starting the heating mode at the next predicted starting time;
wherein the step of "selectively issuing a heat storage instruction underground based on the calculation result" further comprises:
when the probability score is larger than a set threshold value, issuing the heat storage instruction;
and when the probability score is less than or equal to the set threshold, not issuing the heat storage instruction.
2. The method according to claim 1, wherein the step of calculating a probability score of the air conditioner turning on the heating mode at the next predicted turn-on time based on a pre-established scoring system further comprises:
inputting the next predicted starting time into a pre-trained heating probability model to obtain the historical starting probability of the air conditioner for starting the heating mode at the next predicted starting time;
obtaining the recent starting probability based on the number of days for starting the heating mode at the next predicted starting time within the set number of days;
obtaining historical prediction accuracy of the next predicted starting-up time based on the historical prediction information;
calculating a probability score for the air conditioner to turn on a heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy;
the heating probability model is used for representing the corresponding relation between the historical operation information and the historical opening probability.
3. The heat accumulation instruction issuing control method according to claim 2, wherein the step of calculating a probability score that the air conditioner is turned on in the heating mode at the next predicted turn-on time based on the historical turn-on probability, the recent turn-on probability, and the historical prediction accuracy further includes:
and calculating weighted values of the historical opening probability, the recent opening probability and the historical prediction accuracy.
4. The method according to claim 1, wherein the step of calculating a probability score of the air conditioner turning on the heating mode at the next predicted turn-on time based on a pre-established scoring system when the predicted time point is reached further comprises:
when the predicted time point is reached, acquiring the running state of the air conditioner and the indoor environment temperature;
and when the air conditioner is in a shutdown state and the indoor environment temperature is lower than a preset temperature, calculating the probability score of the air conditioner for starting the heating mode at the next predicted starting time based on a pre-established scoring system.
5. The heat accumulation instruction issuance control method according to claim 1, further comprising:
selectively determining the predicted time point based on historical operation information of the air conditioner;
wherein the step of selectively determining the predicted time point based on the historical operation information of the air conditioner further comprises:
judging the activity of the air conditioner based on the historical operation information of the air conditioner;
when the activity of the air conditioner is high, counting the running times of the air conditioner in a plurality of running time periods within a set number of days;
selecting a plurality of operation time periods with operation times larger than the set times from the plurality of operation time periods;
respectively calculating the average value of the starting time of all the heating modes in each selected operation time period as the predicted starting time of the operation time period;
and calculating the difference value between each predicted starting-up time and a preset time period as the predicted time point of the predicted starting-up time.
6. The heat storage instruction issuance control method according to claim 5, wherein the step of selectively determining the predicted time point based on the historical operation information of the air conditioner further includes:
when the activity of the air conditioner is low, the air conditioner is not predicted.
7. The method according to claim 2 or 5, wherein the set number of days is 7 days.
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| JP2015055443A (en) * | 2013-09-13 | 2015-03-23 | パナソニック株式会社 | Air conditioner |
| CN106288200A (en) * | 2016-08-19 | 2017-01-04 | 芜湖美智空调设备有限公司 | The control method of air-conditioner, control device and air-conditioner |
| CN107504656A (en) * | 2017-09-15 | 2017-12-22 | 珠海格力电器股份有限公司 | A kind of air conditioner Learning Control Method and system |
| CN107576002A (en) * | 2017-08-17 | 2018-01-12 | 青岛海尔空调器有限总公司 | Air conditioner and its control method |
| CN108917111A (en) * | 2018-07-25 | 2018-11-30 | 奥克斯空调股份有限公司 | A kind of intelligent air conditioner and its control method |
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2019
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2015055443A (en) * | 2013-09-13 | 2015-03-23 | パナソニック株式会社 | Air conditioner |
| CN106288200A (en) * | 2016-08-19 | 2017-01-04 | 芜湖美智空调设备有限公司 | The control method of air-conditioner, control device and air-conditioner |
| CN107576002A (en) * | 2017-08-17 | 2018-01-12 | 青岛海尔空调器有限总公司 | Air conditioner and its control method |
| CN107504656A (en) * | 2017-09-15 | 2017-12-22 | 珠海格力电器股份有限公司 | A kind of air conditioner Learning Control Method and system |
| CN108917111A (en) * | 2018-07-25 | 2018-11-30 | 奥克斯空调股份有限公司 | A kind of intelligent air conditioner and its control method |
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Address after: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant after: QINGDAO HAIER AIR CONDITIONER GENERAL Corp.,Ltd. Applicant after: Haier Zhijia Co., Ltd Address before: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant before: QINGDAO HAIER AIR CONDITIONER GENERAL Corp.,Ltd. Applicant before: Haier Limited by Share Ltd, Qingdao |
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