CN115751725A - Method and device for setting running temperature of water heater, processor and electronic equipment - Google Patents
Method and device for setting running temperature of water heater, processor and electronic equipment Download PDFInfo
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Abstract
The application provides a method and a device for setting the operating temperature of a water heater, a processor and electronic equipment, wherein a water using behavior judgment model is constructed by acquiring a temperature change rule corresponding to water in a water tank and according to the temperature change rule; predicting water using behavior information of the user in a first preset time period through a water using behavior judging model, wherein the water using behavior information at least comprises at least one time of water using behavior of the user in the first preset time period, a time period corresponding to the at least one time of water using behavior and water using amount; the operation temperature of the water heater corresponding to the water consumption behavior is determined according to the water consumption behavior information, and the technical problems that most of the existing water heater temperature setting methods in the prior art are set by users independently, the method is low in intellectualization, and the set temperature of the users is usually higher, so that energy waste is caused are solved.
Description
Technical Field
The application relates to the field of energy consumption, in particular to a method and a device for setting the operating temperature of a water heater, a processor and electronic equipment.
Background
As society develops, human attention to the environment increases, particularly the goals of "carbon peak" and "carbon neutralization", so that the energy problem is gradually highlighted. In order to achieve the aim of 'carbon neutralization' and relieve the energy pressure, the problems need to be solved from the two aspects of open source throttling. The energy consumption of the heat pump system accounts for 15-20% of the total social energy consumption, and the energy-saving work significance is great. The energy consumption of the system is saved by controlling the set temperature of the water tank of the heat pump system, and the energy-saving direction of the heat pump water heater is achieved.
In the existing method, most users set the set temperature by themselves, most users cannot determine the proper set temperature of the water heater, and the set temperature is often too high, so that the water heater carries out useless heating, and a large amount of energy is wasted. The set temperature of the water heater is often related to the water using behavior of the user. Therefore, how to more accurately judge the water using behavior of the user becomes a key problem.
In the process of using hot water by an actual user, due to the fact that the data sampling frequency is low, the curve fluctuates greatly when the temperature drops, and the precision of most temperature sensors is low, and the actual temperature change rule is difficult to reflect well.
The above problems in the prior art have not yet been solved in an effective manner.
The above information disclosed in this background section is only for enhancement of understanding of the background of the technology described herein and, therefore, it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
Disclosure of Invention
The main objective of the present application is to provide a method and an apparatus for setting an operating temperature of a water heater, a processor, and an electronic device, so as to solve the technical problems that most of the existing methods for setting a temperature of a water heater in the prior art are set by users autonomously, the method is low in intelligence, and the temperature set by users autonomously is often too high, which results in energy waste.
In order to achieve the above object, according to an aspect of the present application, there is provided a method for setting an operating temperature of a water heater, including: acquiring a temperature change rule corresponding to water in a water tank, and constructing a water using behavior judgment model according to the temperature change rule; predicting water using behavior information of the user in a first preset time period through a water using behavior judging model, wherein the water using behavior information at least comprises at least one time of water using behavior of the user in the first preset time period, a time period corresponding to the at least one time of water using behavior and water using amount; and determining the operating temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
Further, the temperature change rule corresponding to the water in the water tank is obtained, and a water use behavior judgment model is constructed according to the temperature change rule, and the method comprises the following steps: acquiring a plurality of temperature change curves corresponding to water in a water tank, wherein each temperature change curve corresponds to a sampling time period; constructing an initial water consumption behavior judgment model according to a plurality of temperature change curves; correcting the plurality of temperature change curves through a Kalman filtering algorithm to obtain a plurality of target temperature change curves; and controlling a plurality of target temperature change curves, and training an initial water use behavior judgment model to obtain a water use behavior judgment model.
Further, controlling a plurality of target temperature change curves, and training an initial water consumption behavior judgment model, wherein the method comprises the following steps: determining a second preset time period, wherein the second preset time period is less than the first preset time period; according to a second preset time period, the target temperature change curve is controlled to be divided into a plurality of sections of sub-curves, wherein the sub-curves correspond to the second preset time period one by one; determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve or not according to the sub-curve; and under the condition that the water consumption behavior exists in the second preset time period, labeling and marking the sub-curves corresponding to the second preset time period to obtain a plurality of target temperature change curves containing label marks, controlling the plurality of target temperature change curves containing the label marks, and training an initial water consumption behavior judgment model.
Further, determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve according to the sub-curve, including: acquiring a starting time and an ending time corresponding to the sub-curves, and determining a starting water temperature corresponding to the starting time and an ending water temperature corresponding to the ending time; determining a water temperature difference value between the ending water temperature and the starting water temperature, and determining whether the water temperature difference value is greater than or equal to a preset threshold value; determining that water using behaviors exist in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to a preset threshold value; and under the condition that the water temperature difference value is smaller than a preset threshold value, determining that no water using behavior exists in a second preset time period.
Further, correcting the plurality of temperature variation curves through a kalman filter algorithm to obtain a plurality of target temperature variation curves, including: step 301: acquiring a first temperature at a first moment on a temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve; step 302: determining a state matrix corresponding to a Kalman filtering algorithm of the water tank in the current state; step 303: predicting a second temperature corresponding to a second moment according to the state matrix, wherein the second moment is a next moment adjacent to the first moment; step 304: determining Kalman filtering gain; step 305: determining a second target temperature according to the first temperature, the second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature; step 306: replacing the second target temperature with the first temperature, and repeatedly executing the steps 301 to 305 to obtain a plurality of second target temperatures so as to obtain a plurality of target temperature change curves.
Further, determining the operating temperature of the water heater corresponding to the water consumption behavior according to the water consumption behavior information, including: acquiring water consumption corresponding to water consumption behaviors; obtaining the initial water temperature, specific heat and density of water before the water consumption action of the water tank occurs, and obtaining the body of the water tankAccumulating and tap water temperature; according to the water consumption, the initial water temperature, the specific heat of water, the density and volume of water and the temperature of tap water, the water quality control method adopts a first formula
Calculating an operating temperature, wherein T set For operating temperature, V consume For the amount of water, C water Is the specific heat of water, T consume Is the initial water temperature, T tap Is the temperature of tap water, p water Is the density of water, p water Is the volume of the water tank.
Further, determining a second target temperature according to the first temperature, the second temperature and the kalman filter gain includes: determining a second target temperature according to a second formula, wherein the second formula is as follows: x filter ＝X+(x-X)*G，X filter Is the second target temperature, X is the second temperature, X is the first temperature, and G is the kalman filter gain.
In order to achieve the above object, according to one aspect of the present application, there is provided a setting device for an operating temperature of a water heater, including: the water consumption behavior judgment module is used for judging whether the water consumption behavior is normal or not according to the temperature change rule; the prediction unit is used for predicting water consumption behavior information of the user in a first preset time period through the water consumption behavior determination model, wherein the water consumption behavior information at least comprises at least one time of water consumption behavior of the user in the first preset time period, a time period corresponding to the at least one time of water consumption behavior and water consumption; and the first determining unit is used for determining the operating temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
According to another aspect of the present application, there is provided a computer-readable storage medium including a stored program, wherein the program performs the above-mentioned method for setting the operating temperature of the water heater.
According to another aspect of the present application, a processor for executing a program is provided, wherein the program executes a method for setting an operating temperature of a water heater.
According to another aspect of the present application, there is provided an electronic device including: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing a method of setting an operating temperature of a hot water machine.
By applying the technical scheme, a water using behavior judgment model is constructed by acquiring the temperature change rule corresponding to the water in the water tank and according to the temperature change rule; predicting water consumption behavior information of the user in a first preset time period through a water consumption behavior judging model, wherein the water consumption behavior information at least comprises at least one time of water consumption behavior of the user in the first preset time period, a time period corresponding to the at least one time of water consumption behavior and water consumption; the operation temperature of the water heater corresponding to the water consumption behavior is determined according to the water consumption behavior information, the technical problems that most of the existing water heater temperature setting methods in the prior art are set by users independently, the method is low in intelligentization, the set temperature of the users independently is usually higher, and energy waste is caused are solved, the operation energy consumption of the water heater is reduced, and the intelligentization degree of the water heater is improved.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 is a flowchart of a method for setting an operating temperature of a water heater according to an embodiment of the present disclosure; and
fig. 2 is a schematic diagram of a device for setting an operating temperature of a water heater according to an embodiment of the present application.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element or "connected" to the other element through a third element.
As introduced in the background art, most of the existing methods for setting the temperature of the water heater in the prior art are set by users autonomously, the method is low in intelligence, the temperature set by the users autonomously is usually high, and energy waste is caused.
According to an embodiment of the application, a method for setting the operating temperature of a water heater is provided.
Fig. 1 is a flowchart of a method for setting an operating temperature of a water heater according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, acquiring a temperature change rule corresponding to water in a water tank, and constructing a water consumption behavior judgment model according to the temperature change rule;
step S102, predicting water consumption behavior information of a user in a first preset time period through a water consumption behavior judging model, wherein the water consumption behavior information at least comprises at least one time water consumption behavior of the user in the first preset time period, a time period corresponding to the at least one time water consumption behavior and water consumption;
and step S103, determining the running temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
According to the method, the water using behavior judgment model is constructed according to the temperature change rule of the water tank, the water using behaviors of the user under different conditions are judged through the water using behavior judgment model, and the set temperature of the water heater is set according to the historical water using behaviors of the user, so that the set temperature can meet the water using requirements of the user as far as possible, and the energy consumption of system operation is saved. The method reduces the running energy consumption of the water heater to a certain extent, meets the use requirements of users, improves the use experience of the users, and further improves the intelligent degree of the method.
In an optional embodiment, obtaining a temperature change rule corresponding to water in a water tank, and constructing a water usage behavior determination model according to the temperature change rule includes: acquiring a plurality of temperature change curves corresponding to water in a water tank, wherein each temperature change curve corresponds to a sampling time period; constructing an initial water consumption behavior judgment model according to a plurality of temperature change curves; correcting the plurality of temperature change curves through a Kalman filtering algorithm to obtain a plurality of target temperature change curves; and controlling a plurality of target temperature change curves, and training an initial water use behavior judgment model to obtain a water use behavior judgment model.
Specifically, the extraction of the water use characteristics of the user through the kalman filtering algorithm includes initializing each parameter of the kalman filter according to the actual situation of the water heater, and specifically includes a state matrix, an observation matrix, a prediction error, a state matrix variance, and an observation matrix variance of the kalman filter. And then, acquiring a plurality of temperature change curves corresponding to a plurality of sampling time periods detected by a temperature sensing bulb in the water tank through a control end of the water heater, determining a temperature change rule of the water tank according to the plurality of temperature change curves, establishing a water tank temperature prediction model based on the temperature change rule of the water tank, and calculating covariance and Kalman gain. And then, calculating a filtered value based on the obtained temperature value, finally updating the covariance, completing the Kalman filtering process, and obtaining a smoother temperature change curve. After Kalman filtering, further analyzing the temperature curve, setting a temperature change threshold value, and determining that the user has water using behavior when the temperature change of the water tank exceeds the threshold value within a period of time.
An example of a specific kalman filtering process is as follows:
step 301: acquiring a first temperature x at a first moment on a temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve;
step 302: determining a state matrix corresponding to a Kalman filtering algorithm of the water tank in the current state;
step 303: and predicting a second temperature corresponding to the second moment according to the state matrix, and calculating the second temperature through a formula 1:
X ＝ A*x-D (1)
the second moment is the next moment adjacent to the first moment, x is the first temperature, A is a state matrix, and D is a temperature change value generated by the natural heat dissipation of the water tank and other conditions in each sampling interval;
step 304: determining a Kalman filtering gain, specifically comprising:
calculating a covariance matrix, P = a x P + Q (2), by formula 2, where P is the covariance, a is the state matrix, and Q is the state matrix variance;
calculating a kalman filter gain by equation 3, where equation 3 is: g = PHH/(PHH + R) (3)
Wherein G is Kalman filtering gain, H is observation matrix, R is observation matrix variance, and P is covariance.
Step 305: determining a second target temperature according to the first temperature, the second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature;
calculating the filtered second target temperature by equation 4, where equation 4 is:
X_filter＝ X+(x-X)*G (4)
wherein X _ filter is a second target temperature, X is a first temperature, X is a second temperature, and G is Kalman filtering gain;
the covariance is updated by equation 5, where equation 5 is:
P＝(1-G*H)*P (5)
step 306: replacing the second target temperature with the first temperature, and repeatedly executing the steps 301 to 305 to obtain a plurality of second target temperatures so as to obtain a plurality of target temperature change curves.
In an alternative embodiment, controlling a plurality of target temperature change curves and training an initial water usage behavior determination model comprises: determining a second preset time period, wherein the second preset time period is less than the first preset time period; according to a second preset time period, the target temperature change curve is controlled to be divided into a plurality of sections of sub-curves, wherein the sub-curves correspond to the second preset time period one by one; determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve or not according to the sub-curve; and under the condition that the water consumption behavior exists in the second preset time period, labeling and marking the sub-curves corresponding to the second preset time period to obtain a plurality of target temperature change curves containing label marks, controlling the plurality of target temperature change curves containing the label marks, and training an initial water consumption behavior judgment model. According to the sub-curve, determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve, wherein the method comprises the following steps: acquiring a starting time and an ending time corresponding to the sub-curve, and determining a starting water temperature corresponding to the starting time and an ending water temperature corresponding to the ending time; determining a water temperature difference value between the ending water temperature and the starting water temperature, and determining whether the water temperature difference value is greater than or equal to a preset threshold value; determining that water using behaviors exist in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to a preset threshold value; and under the condition that the water temperature difference value is smaller than a preset threshold value, determining that no water using behavior exists in a second preset time period.
In the above, the plurality of target temperature curves correspond to a plurality of historical sampling time periods of the user, each target temperature curve is divided into curves corresponding to a plurality of time periods according to a short time interval, and whether the water using behavior occurs in the time period is determined according to the temperature change of water in each time interval, for example, the second preset time period is one hour, and if the change of the water temperature is large in any one hour, the water using behavior of the user can be determined in the hour. And (3) obtaining a plurality of training samples (a plurality of labeled temperature curves) through the target temperature curve, labeling the sub-curve corresponding to the water consumption behavior, storing the training samples, and training the water consumption behavior judgment module through the training samples. For example, one target temperature curve corresponds to 12 hours, and a water usage behavior determination model is trained through a plurality of labeled target temperature curves to predict the water usage behavior of the user in the next 12 hours.
And establishing a historical water use database by the labeling method, and training a water use behavior judgment model by the historical water use database.
Further, after predicting the water consumption behavior of the user in the next time period, finally calculating the set temperature of the water heater corresponding to the water consumption behavior of the user in the future time period according to the predicted water consumption behavior and the energy conservation principle, wherein the set temperature comprises the following steps: acquiring water consumption corresponding to water consumption behaviors; acquiring initial water temperature, specific heat of water, density of water, volume of the water tank and tap water temperature of the water tank before water using action occurs; according to the water consumption, the initial water temperature, the specific heat of water, the density and volume of water and the temperature of tap water, the water quality control method adopts a first formula
Calculating an operating temperature, wherein T set For operating temperature, V consume Water consumption, C water Is the specific heat of water, T consume Is the initial water temperature, T tap Is the temperature of tap water, p water Is the density of water, p water Is the volume of the water tank.
According to the method for setting the operating temperature of the water heater, the Kalman filtering algorithm is used for extracting the temperature change characteristics based on the temperature change rule of the water tank of the water heater, and the operating temperature of the water heater is calculated by combining the historical water consumption behavior of the user and the deep neural network technology.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
The embodiment of the present application further provides a device for setting the operating temperature of the water heater, and it should be noted that the device for setting the operating temperature of the water heater according to the embodiment of the present application can be used for executing the device for setting the operating temperature of the water heater according to the embodiment of the present application. The following describes a setting device for the operating temperature of the water heater provided by the embodiment of the present application.
Fig. 2 is a schematic diagram of a device for setting an operating temperature of a water heater according to an embodiment of the present application. As shown in fig. 2, the apparatus includes: the construction unit 201 is configured to obtain a temperature change rule corresponding to water in the water tank, and construct a water usage behavior determination model according to the temperature change rule; the prediction unit 202 is configured to predict water usage behavior information of the user in a first preset time period through a water usage behavior determination model, where the water usage behavior information at least includes at least one water usage behavior of the user in the first preset time period, a time period corresponding to the at least one water usage behavior, and a water usage amount; the first determining unit 203 is configured to determine an operating temperature of the water heater corresponding to the water usage behavior according to the water usage behavior information.
Optionally, the building unit 201 includes: the water tank comprises a first acquisition subunit, a second acquisition subunit and a control unit, wherein the first acquisition subunit is used for acquiring a plurality of temperature change curves corresponding to water in the water tank, and each temperature change curve corresponds to a sampling time period; the construction subunit is used for constructing an initial water consumption behavior judgment model according to the plurality of temperature change curves; the syndrome unit is used for correcting the plurality of temperature change curves through a Kalman filtering algorithm to obtain a plurality of target temperature change curves; and the training subunit is used for controlling a plurality of target temperature change curves and training the initial water use behavior judgment model to obtain the water use behavior judgment model.
Optionally, the training subunit comprises: the first determining module is used for determining a second preset time period, wherein the second preset time period is less than the first preset time period; the first control module is used for controlling the target temperature change curve to be divided into a plurality of sections of sub-curves according to a second preset time period, wherein the sub-curves correspond to the second preset time period one by one; the second determining module is used for determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve or not according to the sub-curve; and the labeling module is used for labeling and labeling the sub-curves corresponding to the second preset time period under the condition that the water consumption behavior exists in the second preset time period so as to obtain a plurality of target temperature change curves containing label labels, controlling the plurality of target temperature change curves containing label labels, and training the initial water consumption behavior judgment model.
Optionally, the second determining module includes: the first obtaining submodule is used for obtaining the starting time and the ending time corresponding to the sub-curves and determining the starting water temperature corresponding to the starting time and the ending water temperature corresponding to the ending time; the first determining submodule is used for determining a water temperature difference value between the ending water temperature and the starting water temperature and determining whether the water temperature difference value is larger than or equal to a preset threshold value or not; the second determining submodule is used for determining that water using behaviors exist in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to the preset threshold value; and the third determining submodule is used for determining that no water using behavior exists in the second preset time period under the condition that the water temperature difference value is smaller than the preset threshold value.
Optionally, the syndrome unit comprises: the first acquiring module is used for acquiring a first temperature at a first moment on a temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve; the first determination module is used for determining a state matrix corresponding to a Kalman filtering algorithm of the water tank in the current state; the prediction module is used for predicting a second temperature corresponding to a second moment according to the state matrix, wherein the second moment is the next adjacent moment of the first moment; a second determination module for determining a Kalman filtering gain; the third determining module is used for determining a second target temperature according to the first temperature, the second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature; and the second acquisition module is used for replacing the second target temperature with the first temperature to obtain a plurality of second target temperatures so as to acquire a plurality of target temperature change curves.
Alternatively, the first determination unit 203 includes: the second acquiring subunit is used for acquiring the water consumption corresponding to the water consumption behavior; the third acquiring subunit is used for acquiring the initial water temperature of the water tank before the water using action occurs, the specific heat of the water, the density of the water, the volume of the water tank and the temperature of tap water; according to the water consumption, the initial water temperature, the specific heat of water, the density and volume of water and the temperature of tap water, the water quality control method is realized by a first formula
Calculating an operating temperature, wherein T set For operating temperature, V consume Water consumption, C water Is the specific heat of water, T consume Is the initial water temperature, T tap Is the temperature of tap water, p water Is the density of water, p water Is the volume of the water tank.
Optionally, determining the second target temperature according to the first temperature, the second temperature and the kalman filter gain includes: determining a second target temperature according to a second formula, wherein the second formula is: x filter ＝X+(x-X)*G，X filter Is the second target temperature, X is the second temperature, X is the first temperature, and G is the kalman filter gain.
The device for setting the operating temperature of the water heater comprises a processor and a memory, wherein the construction unit 201 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the technical problems that most of the existing water heater temperature setting methods in the prior art are set by users independently, the method is low in intellectualization, and the energy waste is caused because the temperature set by the users independently is usually higher are solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon, the program implementing a method for setting an operating temperature of a water heater when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program is used for executing a method for setting the running temperature of a water heater during running.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein when the processor executes the program, at least the following steps are realized: acquiring a temperature change rule corresponding to water in a water tank, and constructing a water using behavior judgment model according to the temperature change rule; predicting water using behavior information of the user in a first preset time period through a water using behavior judging model, wherein the water using behavior information at least comprises at least one time of water using behavior of the user in the first preset time period, a time period corresponding to the at least one time of water using behavior and water using amount; and determining the operating temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
Optionally, a temperature change rule corresponding to water in the water tank is obtained, and a water use behavior determination model is constructed according to the temperature change rule, including: acquiring a plurality of temperature change curves corresponding to water in a water tank, wherein each temperature change curve corresponds to a sampling time period; constructing an initial water consumption behavior judgment model according to a plurality of temperature change curves; correcting the plurality of temperature change curves through a Kalman filtering algorithm to obtain a plurality of target temperature change curves; and controlling a plurality of target temperature change curves, and training an initial water use behavior judgment model to obtain a water use behavior judgment model.
Optionally, controlling a plurality of target temperature change curves, and training an initial water usage behavior determination model, including: determining a second preset time period, wherein the second preset time period is less than the first preset time period; according to a second preset time period, the target temperature change curve is controlled to be divided into a plurality of sections of sub-curves, wherein the sub-curves correspond to the second preset time period one by one; determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve according to the sub-curve; and under the condition that the water consumption behavior exists in the second preset time period, labeling and marking the sub-curves corresponding to the second preset time period to obtain a plurality of target temperature change curves containing label marks, controlling the plurality of target temperature change curves containing the label marks, and training an initial water consumption behavior judgment model.
Optionally, determining, according to the sub-curve, whether the water usage behavior of the user exists in a second preset time period corresponding to the sub-curve includes: acquiring a starting time and an ending time corresponding to the sub-curve, and determining a starting water temperature corresponding to the starting time and an ending water temperature corresponding to the ending time; determining a water temperature difference value between the ending water temperature and the starting water temperature, and determining whether the water temperature difference value is greater than or equal to a preset threshold value; determining that water using behaviors exist in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to a preset threshold value; and under the condition that the water temperature difference value is smaller than a preset threshold value, determining that no water using behavior exists in a second preset time period.
Optionally, the correcting the plurality of temperature variation curves by using a kalman filter algorithm to obtain a plurality of target temperature variation curves includes: step 301: acquiring a first temperature at a first moment on a temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve; step 302: determining a state matrix corresponding to a Kalman filtering algorithm of the water tank in the current state; step 303: predicting a second temperature corresponding to a second moment according to the state matrix, wherein the second moment is a next moment adjacent to the first moment; step 304: determining Kalman filtering gain; step 305: determining a second target temperature according to the first temperature, the second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature; step 306: replacing the second target temperature with the first temperature, and repeatedly executing the steps 301 to 305 to obtain a plurality of second target temperatures so as to obtain a plurality of target temperature change curves.
Optionally, determining the operating temperature of the water heater corresponding to the water usage behavior according to the water usage behavior information includes: acquiring water consumption corresponding to water consumption behaviors; acquiring initial water temperature, specific heat of water, density of water, volume of the water tank and tap water temperature of the water tank before water using action occurs; according to the water consumption, the initial water temperature, the specific heat of water, the density and volume of water and the temperature of tap water, the water quality control method adopts a first formula
Calculating an operating temperature, wherein T set To the operating temperature, V consume For the amount of water, C water Is the specific heat of water, T consume Is the initial water temperature, T tap Is the tap water temperature, p water Is the density of water, p water Is the volume of the water tank.
Optionally, determining the second target temperature according to the first temperature, the second temperature and the kalman filter gain includes: determining a second target temperature according to a second formula, wherein the second formula is as follows: x filter ＝X+(x-X)*G，X filter Is the second target temperature, X is the second temperature, X is the first temperature, and G is the kalman filter gain. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program of initializing at least the following method steps when executed on a data processing device: acquiring a temperature change rule corresponding to water in a water tank, and constructing a water using behavior judgment model according to the temperature change rule; predicting water consumption behavior information of the user in a first preset time period through a water consumption behavior judging model, wherein the water consumption behavior information at least comprises at least one time of water consumption behavior of the user in the first preset time period, a time period corresponding to the at least one time of water consumption behavior and water consumption; and determining the running temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
Optionally, a temperature change rule corresponding to water in the water tank is obtained, and a water usage behavior determination model is constructed according to the temperature change rule, including: acquiring a plurality of temperature change curves corresponding to water in a water tank, wherein each temperature change curve corresponds to a sampling time period; constructing an initial water consumption behavior judgment model according to a plurality of temperature change curves; correcting the multiple temperature change curves through a Kalman filtering algorithm to obtain multiple target temperature change curves; and controlling a plurality of target temperature change curves, and training an initial water use behavior judgment model to obtain a water use behavior judgment model.
Optionally, controlling a plurality of target temperature change curves, training an initial water usage behavior determination model, including: determining a second preset time period, wherein the second preset time period is less than the first preset time period; according to a second preset time period, the target temperature change curve is controlled to be divided into a plurality of sections of sub-curves, wherein the sub-curves correspond to the second preset time period one by one; determining whether the water using behavior of the user exists in a second preset time period corresponding to the sub-curve or not according to the sub-curve; and under the condition that the water using behavior exists in the second preset time period, labeling and marking the sub-curves corresponding to the second preset time period to obtain a plurality of target temperature change curves containing label marks, controlling the plurality of target temperature change curves containing label marks, and training an initial water using behavior judging model.
Optionally, determining, according to the sub-curve, whether the water using behavior of the user exists within a second preset time period corresponding to the sub-curve, includes: acquiring a starting time and an ending time corresponding to the sub-curve, and determining a starting water temperature corresponding to the starting time and an ending water temperature corresponding to the ending time; determining a water temperature difference value between the ending water temperature and the starting water temperature, and determining whether the water temperature difference value is greater than or equal to a preset threshold value; determining that water using behaviors exist in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to a preset threshold value; and under the condition that the water temperature difference value is smaller than a preset threshold value, determining that no water using behavior exists in a second preset time period.
Optionally, the correcting the plurality of temperature variation curves by using a kalman filtering algorithm to obtain a plurality of target temperature variation curves includes: step 301: acquiring a first temperature of a first moment on a temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve; step 302: determining a state matrix corresponding to a Kalman filtering algorithm of the water tank in the current state; step 303: predicting a second temperature corresponding to a second moment according to the state matrix, wherein the second moment is a next moment adjacent to the first moment; step 304: determining Kalman filtering gain; step 305: determining a second target temperature according to the first temperature, the second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature; step 306: replacing the second target temperature with the first temperature, and repeatedly executing steps 301 to 305 to obtain a plurality of second target temperatures so as to obtain a plurality of target temperature variation curves.
Optionally, determining the operating temperature of the water heater corresponding to the water usage behavior according to the water usage behavior information includes: acquiring water consumption corresponding to water consumption behaviors; acquiring initial water temperature, specific heat of water, density of water, volume of the water tank and tap water temperature of the water tank before water using action occurs; according to the water consumption, the initial water temperature, the specific heat of water, the density and volume of water and the temperature of tap water, the water quality control method is realized by a first formula
Calculating an operating temperature, wherein T set To the operating temperature, V consume For the amount of water, C water Is the specific heat of water, T consume Is the initial water temperature, T tap Is the tap water temperature, p water Is the density of water, p water Is the volume of the water tank.
Optionally, determining the second target temperature according to the first temperature, the second temperature and the kalman filter gain includes: determining a second target temperature according to a second formula, wherein the second formula is: x filter ＝X+(x-X)*G，X filter Is a firstTwo target temperatures, X is the second temperature, X is the first temperature, and G is the Kalman filter gain.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or may not be executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.
From the above description, it can be seen that the above-mentioned embodiments of the present application achieve the following technical effects:
1) The method for setting the running temperature of the water heater combines the Kalman filtering algorithm and the deep neural network technology, extracts the behavior characteristics of water consumption of a user based on the temperature change of the multifunctional water heater, calculates the optimal set temperature of the multifunctional water heater by combining the water consumption behavior of the user, saves the running energy consumption of equipment, meets the use requirement of the user, improves the use experience of the user, and also improves the intelligent degree of the method.
2) Meanwhile, the technical effect of saving energy is achieved.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (11)
1. A method for setting the operating temperature of a water heater is characterized by comprising the following steps:
acquiring a temperature change rule corresponding to water in a water tank, and constructing a water using behavior judgment model according to the temperature change rule;
predicting water use behavior information of a user in a first preset time period through the water use behavior determination model, wherein the water use behavior information at least comprises at least one water use behavior of the user in the first preset time period, a time period corresponding to the at least one water use behavior and water use amount;
and determining the running temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
2. The method of claim 1, wherein obtaining a temperature change rule corresponding to water in a water tank, and constructing a water usage behavior determination model according to the temperature change rule comprises:
acquiring a plurality of temperature change curves corresponding to water in the water tank, wherein each temperature change curve corresponds to a sampling time period;
according to the plurality of temperature change curves, constructing an initial water consumption behavior judgment model;
correcting the plurality of temperature change curves through a Kalman filtering algorithm to obtain a plurality of target temperature change curves;
and controlling a plurality of target temperature change curves, and training the initial water using behavior judging model to obtain the water using behavior judging model.
3. The method of claim 2, wherein controlling a plurality of the target temperature profiles to train the initial water usage behavior determination model comprises:
determining a second preset time period, wherein the second preset time period is less than the first preset time period;
controlling the target temperature change curve to be divided into a plurality of sections of sub-curves according to the second preset time period, wherein the sub-curves correspond to the second preset time period one by one;
determining whether the water using behavior of the user exists in the second preset time period corresponding to the sub-curve or not according to the sub-curve;
and under the condition that the water using behavior exists in the second preset time period, labeling and marking the sub-curves corresponding to the second preset time period to obtain a plurality of target temperature change curves containing label marks, controlling the plurality of target temperature change curves containing the label marks, and training the initial water using behavior judgment model.
4. The method of claim 3, wherein determining whether the water usage behavior of the user exists within the second preset time period corresponding to the sub-curve according to the sub-curve comprises:
acquiring a starting time and an ending time corresponding to the sub-curve, and determining a starting water temperature corresponding to the starting time and an ending water temperature corresponding to the ending time;
determining a water temperature difference value between the ending water temperature and the starting water temperature, and determining whether the water temperature difference value is greater than or equal to a preset threshold value;
determining that the water using behavior exists in a second preset time period corresponding to the sub-curve under the condition that the water temperature difference value is larger than or equal to the preset threshold value;
and determining that the water using behavior does not exist in the second preset time period under the condition that the water temperature difference value is smaller than the preset threshold value.
5. The method of claim 2, wherein the correcting the plurality of temperature profiles to obtain a plurality of target temperature profiles by a kalman filter algorithm comprises:
step 301: acquiring a first temperature of a first moment on the temperature change curve, wherein the first moment is any one moment corresponding to the temperature change curve;
step 302: determining a state matrix corresponding to the Kalman filtering algorithm when the water tank is in the current state;
step 303: predicting a second temperature corresponding to a second moment according to the state matrix, wherein the second moment is a next moment adjacent to the first moment;
step 304: determining a Kalman filtering gain;
step 305: determining a second target temperature according to the first temperature, a second temperature and the Kalman filtering gain, wherein the second target temperature is the corrected second temperature;
step 306: replacing the second target temperature with the first temperature, and repeatedly executing the steps 301 to 305 to obtain a plurality of second target temperatures so as to obtain a plurality of target temperature change curves.
6. The method of claim 1, wherein determining the operating temperature of the water heater corresponding to the water usage behavior according to the water usage behavior information comprises:
acquiring the water consumption corresponding to the water consumption behavior;
acquiring an initial water temperature of the water tank before the water using behavior occurs, specific heat of the water, density of the water, volume of the water tank and tap water temperature;
according to the water consumption, the initial water temperature, the specific heat of the water, the density of the water, the volume and the tap water temperature, through a first formula
Calculating the operating temperature, wherein T set For the operating temperature, V consume For the amount of water, C water Is the specific heat of the water, T consume Is the initial water temperature, T tap Is the tap water temperature, p water Is the density of the water, p water Is the volume of the water tank.
7. The method of claim 5, wherein determining a second target temperature from the first temperature, a second temperature, and the Kalman filter gain comprises:
determining the second target temperature according to a second formula, wherein the second formula is:
X filter ＝X+(x-X)*G，X filter is the second target temperature, X is the second temperature, and X is theA first temperature, G, is the kalman filter gain.
8. A setting device for the operating temperature of a water heater is characterized by comprising:
the water consumption behavior judgment module comprises a construction unit, a water consumption behavior judgment module and a control unit, wherein the construction unit is used for acquiring a temperature change rule corresponding to water in a water tank and constructing a water consumption behavior judgment model according to the temperature change rule;
the prediction unit is used for predicting water consumption behavior information of a user in a first preset time period through the water consumption behavior determination model, wherein the water consumption behavior information at least comprises at least one water consumption behavior of the user in the first preset time period, a time period corresponding to the at least one water consumption behavior and water consumption;
and the first determining unit is used for determining the operating temperature of the water heater corresponding to the water using behavior according to the water using behavior information.
9. A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program executes a method of setting an operating temperature of a water heater according to any one of claims 1 to 7.
10. A processor, characterized in that the processor is used for running a program, wherein the program is run to execute a method for setting the operating temperature of the water heater according to any one of claims 1 to 7.
11. An electronic device, comprising: one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising instructions for performing the method of setting an operating temperature of a water heater of any one of claims 1-7.
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