CN112947097A - Method and device for drawing running state curve of household equipment and display terminal - Google Patents

Method and device for drawing running state curve of household equipment and display terminal Download PDF

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Publication number
CN112947097A
CN112947097A CN202110130375.XA CN202110130375A CN112947097A CN 112947097 A CN112947097 A CN 112947097A CN 202110130375 A CN202110130375 A CN 202110130375A CN 112947097 A CN112947097 A CN 112947097A
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data
current
historical
determining
maximum value
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CN112947097B (en
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林欢
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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Qingdao Haier Technology Co Ltd
Haier Smart Home Co Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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Abstract

The application relates to the technical field of smart home, and discloses a method for drawing an operation state curve of home equipment. The method for drawing the running state curve of the household equipment comprises the following steps: acquiring current data of the household equipment in a current state and historical data of the household equipment in a historical state; determining effective data according to the current data and the historical data; the effective data comprises a data maximum value and/or a data extreme value; and drawing an equipment running state curve according to the effective data. By adopting the method for drawing the running state curve of the household equipment, the automatic adjustment process of the household equipment can be reflected more accurately, and the change of the use behavior of a user can be reflected more accurately. The application also discloses a device and a display terminal for drawing the running state curve of the household equipment.

Description

Method and device for drawing running state curve of household equipment and display terminal
Technical Field
The application relates to the technical field of smart home, for example, to a method and a device for drawing an operating state curve of home equipment, and a display terminal.
Background
At present, in order to improve the user activity of the device and optimize the user experience, many existing intelligent products start to provide visual services for the user, and the user using behaviors are often shown to the user in a mode of a device running state curve. For example, state data and timestamps of the home devices are obtained, the timestamps are time nodes of the state data, and then a state curve of the home devices is drawn according to the plurality of state data and the plurality of timestamps.
In the practical application process, the number of data buried points is large, and accordingly the scale of the obtained data is large, so that when the equipment operation state curve is drawn, the data mean value in a period of time is generally adopted as a key point, and the equipment operation state curve is drawn based on a plurality of key points.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art:
in the process of calculating the data mean value, the influence caused by jump data is blurred, and the change of the use behavior of the user cannot be accurately reflected on the basis of an equipment running state curve drawn by the data mean value.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method and a device for drawing an operating state curve of household equipment and a display terminal, and aims to solve the technical problem that the drawn operating state curve of the household equipment in the prior art cannot well reflect the behavior change of a user.
In some embodiments, the method for drawing the operating state curve of the household equipment comprises the following steps: acquiring current data of the household equipment in a current state and historical data of the household equipment in a historical state; determining valid data according to the current data and the historical data; wherein the valid data comprises a data maximum and/or a data minimum; and drawing an equipment running state curve according to the effective data.
Optionally, determining valid data according to the current data and the historical data includes: determining the data maximum value according to the current data and the historical data; and if the data maximum value is equal to the maximum value or the minimum value in the historical data, determining the data extreme value according to the current data and the historical data.
Optionally, determining valid data according to the current data and the historical data, further comprising: if the data adjacent to the current data in the historical data is not the data extreme value, acquiring a current set period; obtaining the current time of the current state; obtaining a plurality of first time intervals of a plurality of period nodes of the current time and the current set period; wherein each period node corresponds to a first time interval; and if the minimum first time interval in the plurality of first time intervals is less than or equal to a preset time interval, determining that the current data is the valid data.
Optionally, obtaining the current setting period includes: obtaining each maximum value and each effective time node corresponding to each extreme value in a set time period in the historical data; obtaining a second time interval between every two adjacent effective time nodes; and determining the current set period according to a plurality of second time intervals.
Optionally, determining the current setting period according to a plurality of the second time intervals includes:
determining one or more effective time intervals which are less than or equal to a previous set period in a plurality of second time intervals; when the number of the effective time intervals is one, determining one effective time interval as the current set period; when the number of the effective time intervals is multiple, determining the average value of the multiple effective time intervals as the current set period.
Optionally, determining valid data according to the current data and the historical data includes: if the current data is larger than the historical maximum value in the historical data, determining that the current data is valid data; if the current data is smaller than the historical minimum value in the historical data, determining that the current data is the effective data; and/or
If the current data is larger than first data and the first data is smaller than second data, determining that the first data is the valid data; if the current data is smaller than first data and the first data is larger than second data, determining that the first data is valid data; the second data, the first data and the current data are three adjacent data which are sequentially obtained from beginning to end according to time.
Optionally, the method for drawing the operating state curve of the household device by the user further includes: under the condition that the effective data comprise the data maximum value, if the current data are larger than the historical maximum value in the historical data, updating the historical maximum value into the current data; and if the current data is smaller than the historical minimum value in the historical data, updating the historical minimum value to the current data.
In some embodiments, the device for drawing the running state curve of the household equipment comprises an obtaining module, a determining module and a drawing module; the obtaining module is configured to obtain current data of the household equipment in a current state and historical data of the household equipment in a historical state; the determination module is configured to determine valid data from the current data and the historical data; wherein the valid data comprises a data maximum and/or a data minimum; and the drawing module is configured to draw a device operation state curve according to the effective data.
In some embodiments, the apparatus for drawing an operating state curve of a household device includes a processor and a memory storing program instructions, and the processor is configured to execute the method for drawing an operating state curve of a household device provided in the foregoing embodiments when executing the program instructions.
In some embodiments, the display terminal includes the apparatus for drawing the operating state curve of the household equipment provided in the foregoing embodiments.
The method, the device and the display terminal for drawing the running state curve of the household equipment provided by the embodiment of the disclosure can realize the following technical effects:
after the using behavior of the household equipment used by the user changes, the household equipment is automatically adjusted, and the change of the maximum value and/or the extreme value of the state data of the household equipment is usually accompanied in the automatic adjustment process of the household equipment, so the automatic adjustment process of the household equipment can be more accurately reflected according to the equipment running state curve drawn according to the maximum value and/or the extreme value in the state data of the household equipment, and the change of the using behavior of the user can be more accurately reflected.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated in drawings corresponding to, and not limiting to, embodiments in which elements having the same reference number designation are identified as similar elements, and in which:
fig. 1 is a schematic diagram of a method for drawing an operating state curve of a household device according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an apparatus for drawing an operating state curve of a household device according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a display terminal according to an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
Fig. 1 is a schematic diagram of a method for drawing an operating state curve of household equipment according to an embodiment of the present disclosure.
Referring to fig. 1, the method for drawing the operating state curve of the household equipment includes:
s101, current data of the household equipment in the current state and historical data of the household equipment in the historical state are obtained.
The household equipment in the embodiment of the present disclosure includes, but is not limited to, a water heater, an air conditioner, a washing machine, a refrigerator, a range hood, a humidifier, an air purifier, a fresh air machine, and the like.
The current data of the household equipment in the current state and the historical data of the household equipment in the historical state are of the same type, and for example, the current data of the air conditioner in the current state and the historical data of the air outlet temperature in the historical state may be current data of the air conditioner in the current state and historical data of the air outlet temperature in the historical state, or the current data of the refrigerator in the current state and the historical data of the refrigerator in the historical state, or the current data of the water heater in the current state and the historical data of the water temperature in the historical state.
The relevant data may be obtained by a temperature sensor, for example, by sensing water temperature data within the water heater during operation of the water heater, and storing such sensed water temperature data. When current data of the household equipment in the current state need to be obtained, for example, current water temperature data of a water heater in the current state is obtained, and the water temperature data in the water heater is detected in real time through a temperature sensor; when the historical data of the household equipment in the historical state is required to be obtained, for example, the historical water temperature data of the water heater in the historical state is obtained, and the stored water temperature data in the water heater can be read.
When the current temperature data of the refrigerator refrigerating chamber in the current state and the historical temperature data of the refrigerator refrigerating chamber in the historical state need to be obtained, the operation can be completed with the aid of the temperature sensor. The above embodiment only illustrates an exemplary way of obtaining current data of the home device in the current state and historical data of the home device in the historical state, the home device is limited to a water heater, an air conditioner and a refrigerator, and the current data and the historical data are also not limited to the current temperature data, the historical temperature data, the current inner fan rotating speed data and the historical inner fan rotating speed data.
And S102, determining effective data according to the current data and the historical data.
The valid data comprises a data maximum value and/or a data extreme value. The data maxima include maxima and minima, and the data extrema include maxima and minima.
Determining valid data according to the current data and the historical data under the condition that the valid data comprises the data maximum value, wherein the determining comprises the following steps: if the current data is larger than the historical maximum value in the historical data, determining the current data as effective data; and if the current data is smaller than the historical minimum value in the historical data, determining that the current data is valid data.
If the current data is larger than the historical maximum value in the historical data, updating the historical maximum value to the current data, namely updating the historical maximum value; and if the current data is smaller than the historical minimum value in the historical data, updating the historical minimum value to the current data, namely updating the historical minimum value. After the maximum data value is updated, the method for drawing the household equipment running state curve is convenient to repeatedly execute, and the accurate maximum data value is obtained.
Under the condition that the effective data comprises the data maximum value, determining the effective value according to the current data and the historical data, wherein the method comprises the following steps: if the current data is larger than the first data and the first data is smaller than the second data, determining the first data as valid data; if the current data is smaller than the first data and the first data is larger than the second data, determining the first data as valid data; the second data, the first data and the current data are three adjacent data which are sequentially obtained from beginning to end according to time.
In the step of determining valid data according to the current data and the historical data, only the data most significant value may be taken as valid data, that is, the valid data includes the data most significant value; only the data extremum may be used as valid data, that is, the valid data includes the data extremum; the data maximum and the data extreme may also be used as valid data at the same time, that is, the valid data includes the data maximum and the data extreme.
Under the condition that the data maximum value and the data minimum value are taken as effective data, the effective data is determined according to the current data and the historical data, and the method comprises the following steps: determining the most value of the data according to the current data and the historical data; and if the data maximum value is equal to the maximum value or the minimum value in the historical data, determining a data extreme value according to the current data and the historical data.
The maximum value and the minimum value exist in the historical data, and in the process of determining the maximum value and the minimum value of the data according to the current data and the historical data, the current data possibly influences the maximum value and the minimum value existing in the historical data.
If the data maximum is equal to the maximum or minimum in the historical data, then there are several cases: the current data is equal to the maximum value or the minimum value in the historical data; the current data is less than the maximum value in the historical data and greater than the minimum value in the historical data. The above cases indicate that the current data has no influence on the maximum value or the minimum value in the data maxima, that is, the data maxima cannot be regarded as valid data at this time. In this case, the data extremum is then determined based on the current data and the historical data. In determining valid data, the data most value has a higher priority than the data extremum.
If the data maximum value is larger than the maximum value in the historical data, or the data maximum value is smaller than the minimum value in the historical data, it is indicated that the current data is larger than the maximum value in the historical data, or the current data is smaller than the minimum value in the historical data. Under the condition, the current data already influences the maximum value and the minimum value existing in the historical data, the current data is determined to be valid data, the household equipment running state curve is drawn according to the current data, and the method for drawing the household equipment running state curve is executed again.
The existing household equipment has certain automatic adjustment capability, and can stabilize controlled parameters within a certain range, for example, a water heater can maintain the water temperature in a water storage cavity (for the water heater, the water temperature in the water storage cavity belongs to one controlled parameter) within a certain range, and a refrigerator can stabilize the temperature of a refrigerating chamber (for the refrigerator, the temperature of the refrigerating chamber belongs to one controlled parameter) within a certain range. If the current data is larger than the maximum value in the historical data or the current data is smaller than the minimum value in the historical data, it is indicated that the user habits may change, for example, the user demand for the water temperature changes, the user demand for the refrigerator refrigerating chamber temperature changes, and the like; or, the household equipment has faults and the like, such as power supply faults of the water heater, the refrigerator cannot maintain the low temperature of the refrigerating chamber and the like; or, the external environment is changed drastically, for example, in a scene of maintaining indoor high temperature by using an air conditioner, if the outdoor temperature suddenly drops, the amount of heat transferred from the indoor to the outdoor increases, and at this time, the amount of heat transferred from the indoor to the air conditioner needs to be increased, and the outlet air temperature of the indoor unit will be higher than the maximum value of the historical outlet air temperature data.
When the data mean value in a specific time length is taken as a key point, the condition that the data maximum value can reflect cannot be accurately and timely reflected.
The data extreme value can reflect the use behavior of the household equipment to a certain extent, for example, in some application scenes, a user opens a door body of a refrigerating chamber of the refrigerator, takes articles and closes the door body of the refrigerating chamber of the refrigerator, the temperature in the refrigerating chamber of the refrigerator changes due to the influence of opening and closing the door body, so that the temperature of the refrigerating chamber is out of a certain range, but the temperature change is still within the adjusting capacity range of the refrigerator, and at the moment, the temperature in the refrigerating chamber is adjusted by the refrigerator to be stabilized within a certain range. In the above scenario, the data extreme value and the data extreme value change rule exhibited in the process of controlling the dynamic balance of the temperature in the refrigerating chamber in a certain range by the refrigerator are different from the data extreme value and the data extreme value change rule exhibited in the process of adjusting the temperature in the refrigerating chamber out of the certain range to within the certain range by the refrigerator. Therefore, whether the refrigerating chamber of the refrigerator is in a heat preservation state or a temperature regulation state can be distinguished on the equipment running state curve according to the data extreme value; if the refrigerating chamber of the refrigerator is in a heat preservation state, the user is indicated not to access the articles, and if the refrigerating chamber of the refrigerator is in a temperature regulation state, the user is indicated to store the articles.
In other application scenes, a user normally uses hot water in the water heater, cold water is injected into the water heater, so that the internal temperature of the water heater is reduced, then the water heater can heat, and the internal water temperature of the water heater is dynamically increased to a certain range. In the above scenario, the data extreme value and the change rule of the data extreme value exhibited in the process of heating the water heater to increase the water temperature are different from the data extreme value and the change rule of the data extreme value exhibited in the process of maintaining the internal water temperature by the water heater. Therefore, whether the water heater is in a temperature-rising state or a heat-preservation state can be distinguished on the equipment running state curve according to the data extreme value; if the water heater is in a temperature-rising state, the user uses the water heater, and if the water heater is in a heat-preserving state, the user does not use the water heater.
When the data mean value in a specific time length is used as a key point, the condition which can be reflected by the data extreme value cannot be accurately and timely reflected.
In addition, in the process of determining the effective data, the priority of the data maximum value is higher than that of the data extreme value, so that the conflict between the data maximum value and the data extreme value can be avoided, and the effective data can be smoothly obtained.
Optionally, determining valid data according to the current data and the historical data, further comprising: if the data adjacent to the current data in the historical data is not the data extreme value, acquiring a current set period; obtaining the current time of the current state; obtaining a plurality of first time intervals of a plurality of period nodes of a current moment and a current set period; wherein each period node corresponds to a first time interval; and if the minimum first time interval in the plurality of first time intervals is less than or equal to the preset time interval, determining that the current data is valid data.
For convenience of description, the valid data determined through the above steps is referred to as cycle valid data.
A cycle node is a time, for example, a certain time is taken as a starting point, and on the basis of the time, one or more complete current set cycles are added, and the obtained time is the cycle node.
After the household equipment starts to operate, the period nodes are obtained, or when data adjacent to the current data in the historical data are not data extreme values, the period nodes are obtained.
The periodic nodes may be in the past time period or in the future time period.
In the process of executing the method for drawing the home equipment running state curve by the user, a plurality of period nodes usually exist, and at this time, the first time interval between each period node and the current time can be obtained, and the first time interval between two adjacent period nodes adjacent to the current time and the current time can also be obtained.
In practical applications, the current data is usually acquired periodically, for example, the acquisition period may be 1s, 2s, 3s, 4s, 5s or longer, and the preset time interval is smaller than 1/2 of the acquisition period of the current data.
The effective data comprises a data maximum value and a data extreme value, the number of times of occurrence of the data extreme value is small under normal conditions, the number of the data extreme value is small in some specific scenes, such as the process of slowly reducing the temperature in a refrigerating chamber of a refrigerator, and the effective data with proper number can be obtained by adopting the steps, so that the running state curve of the equipment can better reflect the running state of the household equipment.
Optionally, obtaining the current setting period includes: obtaining each maximum value and each effective time node corresponding to each extreme value in a set time period in historical data; obtaining a second time interval between every two adjacent effective time nodes; and determining the current set period according to the plurality of second time intervals.
The set time period may be a set time period before the current time, that is, the end time of the set time period is the current time. The time length of the set time period may be related to the time length of the device operation state curve displayed by the display terminal, for example, the time length of the set time period may be more than twice the time length of the device operation state curve displayed by the display terminal. For example, the display terminal may display an equipment operation state curve within a half hour, and then the set time period may be one hour or more before the current time; the display terminal may show the device curve within one hour, and then the set time period may be two hours or more before the current time. Therefore, the data density of the effective data on the equipment running state curve displayed in the display terminal is uniform, and the equipment running state curve can better reflect the running state of the household equipment.
The longer the second time interval, the lower the frequency of occurrence of the data maxima and/or data extremes, and the fewer the number of data maxima and/or data extremes within a particular time period, the fewer points that can be determined in the plant operating state curve; the shorter the second time interval, the higher the frequency of occurrence of the data maxima and/or data extremes, and the greater the number of data maxima and/or data extremes within a particular time period, the more points that can be determined in the operating state curve of the plant.
An average value of the plurality of second time intervals may be obtained, and the average value may be used as the current setting period.
The data density of the effective data determined according to the second time interval is equivalent to the data density of the data maximum value and/or the data maximum value, so that the equipment operation state curve can better reflect the state change of the household equipment on the equipment operation state curve.
Optionally, determining the current setting period according to a plurality of second time intervals includes: determining one or more effective time intervals which are less than or equal to the previous set period in the plurality of second time intervals; when the number of the effective time intervals is one, determining one effective time interval as the current set period; when the number of the effective time intervals is multiple, determining the average value of the multiple effective time intervals as the current set period.
When the effective data comprises the data maximum value, the data extreme value and the period data (the effective data determined according to the current set period), a second time interval may comprise the time (period node) corresponding to one or more period effective values, and at this time, the current set period is re-determined by adopting the steps, so that a more accurate current second set period can be obtained, and further, the effective data in the equipment running state curve is uniformly distributed, and the equipment running state curve can better reflect the running state of the household equipment.
And S103, drawing an equipment running state curve according to the effective data.
After the using behavior of the household equipment used by the user changes, the household equipment is automatically adjusted, and the change of the maximum value and/or the extreme value of the state data of the household equipment is usually accompanied in the automatic adjustment process of the household equipment, so the automatic adjustment process of the household equipment can be more accurately reflected according to the equipment running state curve drawn according to the maximum value and/or the extreme value in the state data of the household equipment, and the change of the using behavior of the user can be more accurately reflected.
Fig. 2 is a schematic diagram of an apparatus for drawing an operating state curve of home equipment according to an embodiment of the present disclosure. The apparatus may be implemented by software, hardware or a combination of both.
Referring to fig. 2, the apparatus for drawing an operating state curve of a home device includes an obtaining module 21, a determining module 22, and a drawing module 23, where the obtaining module 21 is configured to obtain current data of the home device in a current state and historical data of the home device in a historical state; the determination module 22 is configured to determine valid data from the current data and the historical data; the effective data comprises a data maximum value and/or a data extreme value; the plotting module 23 is configured to plot the device operating state curve according to the valid data.
After the using behavior of the household equipment used by the user changes, the household equipment is automatically adjusted, and the change of the maximum value and/or the extreme value of the state data of the household equipment is usually accompanied in the automatic adjustment process of the household equipment, so the automatic adjustment process of the household equipment can be more accurately reflected according to the equipment running state curve drawn according to the maximum value and/or the extreme value in the state data of the household equipment, and the change of the using behavior of the user can be more accurately reflected.
Optionally, the determining module 22 includes a first determining unit and a second determining unit, the first determining unit is configured to determine a data most value according to the current data and the historical data; the second determining unit is configured to determine a data extremum from the current data and the historical data if the data most significant value is equal to a maximum value or a minimum value in the historical data.
Optionally, the determining module 22 further includes a first obtaining unit, a second obtaining unit, a third obtaining unit, and a third determining unit, where the first obtaining unit is configured to obtain the current setting period if data adjacent to the current data in the historical data is not a data extremum; the second obtaining unit is configured to obtain a current time of the current state; the third obtaining unit is configured to obtain a plurality of first time intervals between the current time and a plurality of period nodes of a current set period; wherein each period node corresponds to a first time interval; the third determining unit is configured to determine that the current data is valid data if a minimum first time interval of the plurality of first time intervals is less than or equal to a preset time interval.
Optionally, the first obtaining unit is specifically configured to: obtaining each maximum value and each effective time node corresponding to each extreme value in a set time period in historical data; obtaining a second time interval between every two adjacent effective time nodes; and determining the current set period according to the plurality of second time intervals.
Optionally, determining the current setting period according to a plurality of second time intervals includes: determining one or more effective time intervals which are less than or equal to the previous set period in the plurality of second time intervals; when the number of the effective time intervals is one, determining one effective time interval as the current set period; when the number of the effective time intervals is multiple, determining the average value of the multiple effective time intervals as the current set period.
Optionally, the determining module 22 is specifically configured to:
if the current data is larger than the historical maximum value in the historical data, determining the current data as effective data; if the current data is smaller than the historical minimum value in the historical data, determining the current data as effective data; and/or
If the current data is larger than the first data and the first data is smaller than the second data, determining the first data as valid data; if the current data is smaller than the first data and the first data is larger than the second data, determining the first data as valid data; the second data, the first data and the current data are three adjacent data which are sequentially obtained from beginning to end according to time.
Optionally, the apparatus for the home device operating state curve further includes a first updating module and a second updating module, where the first updating module is configured to update the historical maximum value to the current data if the current data is greater than the historical maximum value in the historical data when the valid data includes the data maximum value; the second updating module is configured to update the historical minimum value to the current data if the current data is less than the historical minimum value in the historical data.
In some embodiments, the apparatus for plotting an operating state curve of a household device includes a processor and a memory storing program instructions, and the processor is configured to execute the method for plotting an operating state curve of a household device provided in the foregoing embodiments when executing the program instructions.
Fig. 3 is a schematic diagram of a display terminal according to an embodiment of the present disclosure. As shown in fig. 3, the display terminal device includes:
a processor (processor)31 and a memory (memory)32, and may further include a Communication Interface (Communication Interface)33 and a bus 34. The processor 31, the communication interface 33, and the memory 32 may communicate with each other through the bus 34. The communication interface 33 may be used for information transfer. The processor 31 may call logic instructions in the memory 32 to execute the method for plotting the operating state of the household equipment provided in the foregoing embodiment.
Furthermore, the logic instructions in the memory 32 may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.
The memory 32 is a computer readable storage medium, and can be used for storing software programs, computer executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 31 executes the functional application and data processing by executing the software program, instructions and modules stored in the memory 32, that is, implements the method in the above-described method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the display terminal, and the like. Further, the memory 32 may include high speed random access memory and may also include non-volatile memory.
The embodiment of the disclosure provides a display terminal, which comprises the device for drawing the running state curve of the household equipment provided by the embodiment.
The display terminal in the embodiments of the present disclosure may be a terminal with a display screen, such as a smart phone or a computer; it may also be a Virtual Reality (VR) terminal, or an Augmented Reality (AR) terminal.
The embodiment of the disclosure provides a computer-readable storage medium, which stores computer-executable instructions configured to execute the method for drawing an operating state curve of home equipment provided by the foregoing embodiment.
The embodiment of the present disclosure provides a computer program product, where the computer program product includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions, and when the program instructions are executed by a computer, the computer is caused to execute the method for drawing an operating state curve of a home device by a user, where the method is provided by the foregoing embodiment.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable 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 in the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method or device comprising the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit may be merely a division of a logical function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not 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, devices or units, and may be in an electrical, mechanical or other form. 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 network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure 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 flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims (10)

1. A method for drawing an operating state curve of household equipment is characterized by comprising the following steps:
acquiring current data of the household equipment in a current state and historical data of the household equipment in a historical state;
determining valid data according to the current data and the historical data; wherein the valid data comprises a data maximum and/or a data minimum;
and drawing an equipment running state curve according to the effective data.
2. The method of claim 1, wherein determining valid data from the current data and the historical data comprises:
determining the data maximum value according to the current data and the historical data;
and if the data maximum value is equal to the maximum value or the minimum value in the historical data, determining the data extreme value according to the current data and the historical data.
3. The method of claim 2, wherein determining valid data from the current data and the historical data further comprises:
if the data adjacent to the current data in the historical data is not the data extreme value, acquiring a current set period;
obtaining the current time of the current state;
obtaining a plurality of first time intervals of a plurality of period nodes of the current time and the current set period; wherein each period node corresponds to a first time interval;
and if the minimum first time interval in the plurality of first time intervals is less than or equal to a preset time interval, determining that the current data is the valid data.
4. The method of claim 3, wherein obtaining the current set period comprises:
obtaining each maximum value and each effective time node corresponding to each extreme value in a set time period in the historical data;
obtaining a second time interval between every two adjacent effective time nodes;
and determining the current set period according to a plurality of second time intervals.
5. The method of claim 4, wherein determining the current setting period according to a plurality of the second time intervals comprises:
determining one or more effective time intervals which are less than or equal to a previous set period in a plurality of second time intervals;
when the number of the effective time intervals is one, determining one effective time interval as the current set period; when the number of the effective time intervals is multiple, determining the average value of the multiple effective time intervals as the current set period.
6. The method of any of claims 1 to 5, wherein determining valid data from the current data and the historical data comprises:
if the current data is larger than the historical maximum value in the historical data, determining that the current data is valid data; if the current data is smaller than the historical minimum value in the historical data, determining that the current data is the effective data;
and/or
If the current data is larger than first data and the first data is smaller than second data, determining that the first data is the valid data; if the current data is smaller than first data and the first data is larger than second data, determining that the first data is valid data; the second data, the first data and the current data are three adjacent data which are sequentially obtained from beginning to end according to time.
7. The method of claim 6, further comprising:
under the condition that the effective data comprise the data maximum value, if the current data are larger than the historical maximum value in the historical data, updating the historical maximum value into the current data;
and if the current data is smaller than the historical minimum value in the historical data, updating the historical minimum value to the current data.
8. The utility model provides a device for drawing house equipment running state curve which characterized in that includes:
the system comprises an obtaining module, a processing module and a processing module, wherein the obtaining module is configured to obtain current data of home equipment in a current state and historical data of the home equipment in a historical state;
a determination module configured to determine valid data from the current data and the historical data; wherein the valid data comprises a data maximum and/or a data minimum;
and the drawing module is configured to draw an equipment operation state curve according to the effective data.
9. An apparatus for plotting an operating state of a household device, comprising a processor and a memory having stored thereon program instructions, characterized in that the processor is configured to perform the method for plotting an operating state of a household device according to any one of claims 1 to 7 when executing the program instructions.
10. A display terminal, characterized in that it comprises a device for drawing an operating state curve of a household appliance according to claim 8 or 9.
CN202110130375.XA 2021-01-29 2021-01-29 Method and device for drawing running state curve of household equipment and display terminal Active CN112947097B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6133525B1 (en) * 2016-09-01 2017-05-24 三菱電機株式会社 Intelligent electronic devices
CN108895759A (en) * 2018-04-19 2018-11-27 江苏省精创电气股份有限公司 A kind of implementation method of schema refrigerator temperature recorder
IT201700088388A1 (en) * 2017-08-01 2019-02-01 Ariston Thermo Spa METHOD OF CHARACTERIZATION OF A WATER HEATER WITH ACCUMULATION AND LEARNING OF THE LEVIES PROFILE
CN109918273A (en) * 2019-01-25 2019-06-21 深圳绿米联创科技有限公司 A kind of data display method, device, terminal device and storage medium
CN110825649A (en) * 2019-11-26 2020-02-21 京东数字科技控股有限公司 Application testing method, device, equipment and storage medium
DE102018132769A1 (en) * 2018-12-19 2020-06-25 Miele & Cie. Kg Home appliance
CN112163042A (en) * 2020-09-24 2021-01-01 杭州安恒信息技术股份有限公司 Method and device for synchronizing variable data, electronic device and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6133525B1 (en) * 2016-09-01 2017-05-24 三菱電機株式会社 Intelligent electronic devices
IT201700088388A1 (en) * 2017-08-01 2019-02-01 Ariston Thermo Spa METHOD OF CHARACTERIZATION OF A WATER HEATER WITH ACCUMULATION AND LEARNING OF THE LEVIES PROFILE
CN108895759A (en) * 2018-04-19 2018-11-27 江苏省精创电气股份有限公司 A kind of implementation method of schema refrigerator temperature recorder
DE102018132769A1 (en) * 2018-12-19 2020-06-25 Miele & Cie. Kg Home appliance
CN109918273A (en) * 2019-01-25 2019-06-21 深圳绿米联创科技有限公司 A kind of data display method, device, terminal device and storage medium
CN110825649A (en) * 2019-11-26 2020-02-21 京东数字科技控股有限公司 Application testing method, device, equipment and storage medium
CN112163042A (en) * 2020-09-24 2021-01-01 杭州安恒信息技术股份有限公司 Method and device for synchronizing variable data, electronic device and storage medium

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