CN112594937B - Control method and device of water heater, electronic equipment and storage medium - Google Patents

Control method and device of water heater, electronic equipment and storage medium Download PDF

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CN112594937B
CN112594937B CN202011488944.XA CN202011488944A CN112594937B CN 112594937 B CN112594937 B CN 112594937B CN 202011488944 A CN202011488944 A CN 202011488944A CN 112594937 B CN112594937 B CN 112594937B
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water heater
time
target water
periods
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CN112594937A (en
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黄倬莹
陈文中
冼海鹰
文英
梁文德
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Gree Electric Appliances Inc of Zhuhai
Zhuhai Lianyun Technology Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24HEATING; RANGES; VENTILATING
    • F24HFLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
    • F24H9/00Details
    • F24H9/20Arrangement or mounting of control or safety devices
    • F24H9/2007Arrangement or mounting of control or safety devices for water heaters
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147Distances to closest patterns, e.g. nearest neighbour classification

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Abstract

The method comprises the steps of dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of a target water heater in each time interval of a plurality of days; determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods; and adjusting the automatic heating time of the target water heater according to the common time period. The method self-adaptively shortens the instant heating function of the water heater to a short time range according to the use habit of the current user through a simple self-learning method, is more accurate, improves the utilization rate of an intelligent mode, saves electric quantity, is more intelligent, and also improves user experience.

Description

Control method and device of water heater, electronic equipment and storage medium
Technical Field
The present application relates to the field of household appliance technologies, and in particular, to a method and an apparatus for controlling a water heater, an electronic device, and a storage medium.
Background
The existing water heater realizes That a shower head is opened and heated immediately after cold water is discharged from a water pipe, but the triggering condition needs to be set by a user or adopts an If This Then (IFTTT) mode, and the user can not be provided with more intelligent experience. Even if the user can turn on the heating switch of the water heater in advance through the terminal equipment, if the user forgets to turn on in advance, intelligent experience cannot be achieved. If the solar energy is started and heated all day long, the electric quantity is greatly consumed.
At present, for the prediction of water consumption behaviors of users, only regular water consumption time periods, such as morning or evening, can be predicted, and specific water consumption time points cannot be predicted, so that the prediction is not accurate enough, and the water heater is still heated when the users do not want to use the water heater, and unnecessary power consumption is caused.
Disclosure of Invention
In order to solve the problems, the application provides a control method and device of a water heater, an electronic device and a storage medium, and solves the technical problems of electric quantity loss and inconvenience in use of a user caused by inaccurate prediction of the water heater in the prior art.
In a first aspect, the present application provides a method of controlling a water heater, the method comprising:
dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of the target water heater in each time interval of a plurality of days;
determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods;
and adjusting the automatic heating time of the target water heater according to the common time period.
According to an embodiment of the application, preferably, in the above control method of the water heater, the determining the common time period of the target water heater by the K-nearest neighbor algorithm according to all the usage time periods includes the following steps:
calculating the Mahalanobis distance between each use time period and a preset time period, sequencing all the use time periods in an ascending order according to the calculation result of the Mahalanobis distance between the use time periods and the preset time period, and selecting K use time periods with the minimum Mahalanobis distance from the use time periods to the preset time period; wherein K is an integer greater than 1;
and determining the common time period of the target water heater according to the selected K service time periods.
According to an embodiment of the present application, preferably, in the above method for controlling a water heater, determining a common time period of the target water heater according to the selected K usage time periods includes the following steps:
determining the selected overlapping time period of the K using time periods;
and taking the overlapping time period as a common time period of the target water heater.
According to an embodiment of the application, preferably, in the control method of the water heater, the preset time period is an automatic heating time of the target water heater within the several days.
According to an embodiment of the application, preferably, in the control method of the water heater, the usage time period includes an earliest starting usage time and a latest ending usage time of the target water heater in a corresponding time interval of a corresponding day.
According to an embodiment of the application, preferably, in the control method of the water heater, a mahalanobis distance between each of the use time periods and a preset time period is calculated by the following calculation formula:
Figure BDA0002840176610000021
wherein x isiFor the ith use period, mu is the preset time period, S is a covariance matrix of all the use periods, DiThe mahalanobis distance between the ith use time period and the preset time period.
According to an embodiment of the application, preferably, in the above control method of the water heater, before the step of dividing 24 hours a day into a plurality of time intervals, the method further includes:
and receiving an intelligent mode starting instruction, and starting the intelligent mode of the target water heater according to the intelligent mode starting instruction.
In a second aspect, the present application provides a control device for a water heater, the device comprising:
the monitoring module is used for dividing 24 hours a day into a plurality of time intervals and monitoring the use time period of the target water heater in each time interval of a plurality of days;
the determining module is used for determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods;
and the adjusting module is used for adjusting the automatic heating time of the target water heater according to the common time period.
In a third aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the computer program is executed by the processor to execute the control method of the water heater according to any one of the first aspect.
In a fourth aspect, the present application provides a storage medium storing a computer program which, when executed by one or more processors, implements the control method of the water heater according to any one of the first aspect.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the method comprises the steps of dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of a target water heater in each time interval of a plurality of days; determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods; and adjusting the automatic heating time of the target water heater according to the common time period. The method self-adaptively shortens the instant heating function of the water heater to a short time range according to the use habit of the current user through a simple self-learning method, is more accurate, improves the utilization rate of an intelligent mode, saves electric quantity, is more intelligent, and also improves user experience.
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The present application will be described in more detail hereinafter on the basis of embodiments and with reference to the accompanying drawings:
fig. 1 is a schematic flow chart of a control method of a water heater according to an embodiment of the present disclosure;
fig. 2 is another schematic flow chart of a control method of a water heater according to an embodiment of the present disclosure;
fig. 3 is another schematic flow chart of a control method of a water heater according to an embodiment of the present disclosure;
fig. 4 is another schematic flow chart of a control method of a water heater according to an embodiment of the present disclosure;
fig. 5 is a connection block diagram of a control device of a water heater according to an embodiment of the present disclosure;
in the drawings, like parts are designated with like reference numerals, and the drawings are not drawn to scale.
Detailed Description
The following detailed description will be provided with reference to the accompanying drawings and embodiments, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments and various features in the embodiments of the present application can be combined with each other without conflict, and the formed technical solutions are all within the scope of protection of the present application.
Example one
Referring to fig. 1, the present embodiment provides a control method of a water heater, including:
step S101: and dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of the target water heater in each time interval of the plurality of days.
Illustratively, the 24 hours a day is divided into 12 intervals, for example, an interval from any even-numbered time to the next even-numbered time is 18: 00-20: 00, 20: 00-22: 00.
Beginning with step S101, i.e. entering the intelligent control mode, before step S101, the method further includes:
as shown in fig. 2, an intelligent mode starting instruction is received, and an intelligent mode of the target water heater is started according to the intelligent mode starting instruction.
That is to say, the user can select to turn on the intelligent mode or turn off the intelligent mode as required, and turn off the intelligent mode, namely the target water heater is in the ordinary mode, and under the ordinary mode, when the user triggers the switch, heating is carried out again.
Intelligent mode switch button in the user's accessible APP opens intelligent mode, and the interactive mode is simple, convenient operation.
Wherein one usage time period sample indicates that a target water heater is a time period within a time interval of a certain day, and the usage time period includes (but is not limited to) the earliest start usage time and the latest end usage time of the target water heater within the corresponding time interval of a corresponding day. It can be understood that the usage time of the target water heater in a certain time interval of a certain day is intermittent, for example, the usage time of the target water heater is 20: 00-20: 20, 21: 00-21: 15, 21: 30-21: 50 in a certain day, and then the usage time period samples in the certain time interval of the day include (20: 00-20: 20, 21: 00-21: 15, 21: 30-21: 50) these time data. And if the use time of the user is only 20: 30-21: 30 within 20: 00-22: 00 of a certain day, the use time period sample in the time interval of the day is (20: 30-21: 30). And the target water heater reports the collected use time period samples through the wifi module phase server.
In the intelligent mode, a default automatic heating time period, that is, a preset time period, for example, 20:00 to 22:00 at night, may be set by a user according to a requirement when the preset time period starts, or may be set by a manufacturer, and of course, if the user does not use the water heater in the first day of 20:00 to 22:00, the server on the second day optimizes the preset time period (automatic heating time period) on the basis of the use time on the first day, for example, according to the use time on the first day, the optimized preset time period is set to an interval where the use time on the first day is located, or may be set to 1 hour before and after the use time on the first day, that is, (the start time on the first day-1 h, the end time on the first day-1 h) or (the start time on the first day +1h, the end time of the first day +1h), and so on, until the end of data collection.
The number of days may be set by the user as desired, such as 7 days, 10 days, 14 days, etc.
Step S102: and determining the common time period of the target water heater by a K-nearest neighbor algorithm according to all the use time periods.
Among them, the K-Nearest Neighbor algorithm (KNN) may perform an ordering of the similarity between samples (using time slots).
Referring to fig. 3, step S102 specifically includes the following steps:
s102 a: calculating the Mahalanobis distance between each use time period and a preset time period, sequencing all the use time periods in an ascending order according to the calculation result of the Mahalanobis distance between the use time periods and the preset time period, and selecting K use time periods with the minimum Mahalanobis distance from the use time periods to the preset time period; wherein K is an integer greater than 1;
s102 b: and determining the common time period of the target water heater according to the selected K service time periods.
Wherein the mahalanobis distance between each of the use time periods and the preset time period is calculated by the following calculation formula:
Figure BDA0002840176610000051
wherein x isiFor the ith use period, mu is the preset time period, S is a covariance matrix of all the use periods, DiThe mahalanobis distance between the ith use time period and the preset time period.
The K using time periods selected in the steps are a plurality of time periods with higher similarity.
It should be noted that the preset time period may be a fixed time period, or may be the optimized time period.
Preferably, step S102b specifically includes the following steps:
(a) determining the selected overlapping time period of the K using time periods;
(b) and taking the overlapping time period as a common time period of the target water heater.
It can be understood that, among the K usage time periods selected above, there is an overlapping time period (i.e. the closest start time and end time of the K usage time periods), and this overlapping time period is the time period in which the user is most likely to use the water heater, and in order to ensure that the user is on-demand and hot, this overlapping time period is taken as the common time period of the target water heater, in order to reduce the power consumption to the maximum extent. Since the usage time periods may be discontinuous, the corresponding overlapping time periods (common time periods) are also multiple, that is, the target water heater has multiple self-heating common time periods (including multiple on-times and multiple off-times) in one day.
The K value may be the number of the usage periods when the data size is small, and may be set as required when the data size is large.
Step S103: and adjusting the automatic heating time of the target water heater according to the common time period.
The obtained common time is the time period with the maximum use probability of the target water heater, so that the automatic heating time of the target water heater is adjusted according to the common time period, the automatic heating (namely heating when starting) time is shortened to a short time, and the user experience is improved while the utilization rate of the intelligent function of the target water heater is improved specifically at the moment.
It can be understood that the common time period is updated in real time, and the above steps are repeatedly executed according to the actual use data of several days before the current time, so as to obtain a new common time period, thereby adjusting the automatic heating time of the target water heater in real time. After the data acquisition and the first adjustment in the first stage, the automatic heating time in the data acquisition process in each stage is the common time period calculated in the previous stage. For example, the auto-warm-up time may be set to be updated every 7 days, every 10 days, or every 14 days.
The embodiment can determine the automatic heating (i.e. heating on) time of the target water heater through simple self-learning.
The automatic heating time period is displayed in the display interface, the user can freely drag the automatic heating time (namely heating when starting), the interaction mode is diversified, and the use is convenient.
In this embodiment, it can be understood that, because the algorithm has a large calculation amount and needs a large amount of memory, when the calculated common time period is more than 5, the common time period is stored, the previous calculation process is deleted, only the time for the user to use the water heater and the calculation result are reserved, and the storage space is saved.
Referring to fig. 4, another flow chart of a method for controlling a water heater is also provided in this embodiment.
The embodiment provides a control method of a water heater, which comprises the steps of dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of a target water heater in each time interval of a plurality of days; determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods; and adjusting the automatic heating time of the target water heater according to the common time period. The method self-adaptively shortens the instant heating function of the water heater to a short time range according to the use habit of the current user through a simple self-learning method, is more accurate, improves the utilization rate of an intelligent mode, saves electric quantity, is more intelligent, and also improves user experience.
Example two
Referring to fig. 5, the present embodiment provides a control device for a water heater, including: a monitoring module 101, a determination module 102 and an adjustment module 103.
The monitoring module 101 is configured to divide 24 hours a day into a plurality of time intervals, and monitor a usage time period of the target water heater in each time interval of the plurality of days;
a determining module 102, configured to determine, according to all the usage time periods, a common time period of the target water heater through a K-nearest neighbor algorithm;
and the adjusting module 103 is used for adjusting the automatic heating time of the target water heater according to the common time period.
The monitoring module 101 divides 24 hours a day into a plurality of time intervals, and monitors the use time period of the target water heater in each time interval of a plurality of days; the determining module 102 determines the common time period of the target water heater through a K-nearest neighbor algorithm according to all the use time periods; the adjusting module 103 adjusts the automatic heating time of the target water heater according to the common time period.
The specific embodiment process of the above method steps can be referred to as embodiment one, and the details of this embodiment are not repeated herein.
EXAMPLE III
The embodiment provides an electronic device, which may be a mobile phone, a computer, a tablet computer, or the like, and includes a memory and a processor, where the memory stores a computer program, and the computer program, when executed by the processor, implements the control method of the water heater as described in the first embodiment. It is to be appreciated that the electronic device can also include input/output (I/O) interfaces, as well as communication components.
The processor is used for executing all or part of the steps in the control method of the water heater in the first embodiment. The memory is used to store various types of data, which may include, for example, instructions for any application or method in the electronic device, as well as application-related data.
The Processor may be an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to execute the method for controlling the water heater in the first embodiment.
The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
Example four
The present embodiments provide a computer readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., having stored thereon a computer program which, when executed by a processor, may implement the method steps of:
step S101: dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of the target water heater in each time interval of a plurality of days;
step S102: determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods;
step S103: and adjusting the automatic heating time of the target water heater according to the common time period.
The specific embodiment process of the above method steps can be referred to as embodiment one, and the details of this embodiment are not repeated herein.
In summary, the method, the device, the electronic device and the storage medium for controlling the water heater provided by the present application include dividing 24 hours a day into a plurality of time intervals, and monitoring the usage time period of the target water heater in each time interval of the plurality of days; determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods; and adjusting the automatic heating time of the target water heater according to the common time period. The method self-adaptively shortens the instant heating function of the water heater to a short time range according to the use habit of the current user through a simple self-learning method, is more accurate, improves the utilization rate of an intelligent mode, saves electric quantity, is more intelligent, and also improves user experience.
In the embodiments provided in the present application, it should be understood that the disclosed method can be implemented in other ways. The above-described method embodiments are merely illustrative.
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 identical elements in a process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.

Claims (8)

1. A method of controlling a water heater, the method comprising:
dividing 24 hours a day into a plurality of time intervals, and monitoring the use time period of the target water heater in each time interval of a plurality of days;
determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods;
adjusting the automatic heating time of the target water heater according to the common time period;
determining the common time period of the target water heater by a K nearest neighbor algorithm according to all the use time periods, wherein the method comprises the following steps:
calculating the Mahalanobis distance between each use time period and a preset time period, sequencing all the use time periods in an ascending order according to the calculation result of the Mahalanobis distance between the use time periods and the preset time period, and selecting K use time periods with the minimum Mahalanobis distance from the use time periods to the preset time period; wherein K is an integer greater than 1;
determining the common time period of the target water heater according to the selected K service time periods;
the method comprises the following steps of determining the common time period of the target water heater according to the selected K using time periods, wherein the method comprises the following steps:
determining the selected overlapping time period of the K using time periods;
and taking the overlapping time period as a common time period of the target water heater.
2. The method of claim 1, wherein the predetermined time period is an auto-heat time of the target water heater over the number of days.
3. The method of claim 1, wherein the usage time period comprises an earliest starting usage time and a latest ending usage time of the target water heater within a corresponding time interval of a corresponding day.
4. A method as claimed in claim 3, wherein the mahalanobis distance for each said period of use from the preset period is calculated by:
Figure FDA0003312888660000011
wherein x isiFor the ith use period, mu is the preset time period, S is a covariance matrix of all the use periods, DiThe mahalanobis distance between the ith use time period and the preset time period.
5. The method of claim 1, wherein prior to the step of dividing 24 hours a day into time intervals, the method further comprises:
and receiving an intelligent mode starting instruction, and starting the intelligent mode of the target water heater according to the intelligent mode starting instruction.
6. A control device for a water heater, comprising:
the monitoring module is used for dividing 24 hours a day into a plurality of time intervals and monitoring the use time period of the target water heater in each time interval of a plurality of days;
the determining module is used for determining the common time period of the target water heater through a K nearest neighbor algorithm according to all the use time periods;
the adjusting module is used for adjusting the automatic heating time of the target water heater according to the common time period;
the determining module is further configured to calculate mahalanobis distances between the use time periods and a preset time period, sort all the use time periods in an ascending order according to calculation results of the mahalanobis distances between the use time periods and the preset time period, and select K use time periods with the lowest mahalanobis distance from the preset time period; wherein K is an integer greater than 1; determining the common time period of the target water heater according to the selected K service time periods;
the determining module is further configured to: determining the selected overlapping time period of the K using time periods; and taking the overlapping time period as a common time period of the target water heater.
7. An electronic device, characterized by comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, performs the method of controlling a water heater according to any one of claims 1 to 5.
8. A storage medium characterized in that it stores a computer program which, when executed by one or more processors, implements the control method of a water heater according to any one of claims 1 to 5.
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