CN110275460B - Intelligent household electrical station and intelligent household electrical appliance control method - Google Patents

Intelligent household electrical station and intelligent household electrical appliance control method Download PDF

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CN110275460B
CN110275460B CN201810219196.1A CN201810219196A CN110275460B CN 110275460 B CN110275460 B CN 110275460B CN 201810219196 A CN201810219196 A CN 201810219196A CN 110275460 B CN110275460 B CN 110275460B
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intelligent household
time period
electric charge
intelligent
operation schedule
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CN110275460A (en
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吴国伟
张松节
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Shenzhen Futaihong Precision Industry Co Ltd
Chiun Mai Communication Systems Inc
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Shenzhen Futaihong Precision Industry Co Ltd
Chiun Mai Communication Systems Inc
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423Input/output
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/25Pc structure of the system
    • G05B2219/25257Microcontroller

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  • Engineering & Computer Science (AREA)
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Abstract

The invention provides an intelligent household electrical appliance control method, which is applied to an intelligent household electrical appliance which is in communication connection with N intelligent household electrical appliances and a mobile terminal, wherein N is a positive integer, and the method comprises the following steps: receiving an operation schedule corresponding to a first time period and an electric charge upper limit value corresponding to a second time period, which are sent by the mobile terminal, wherein the operation schedule comprises electric parameters of the N intelligent household appliances in the first time period; calculating the electricity charges of the N intelligent household appliances in the second time period; comparing the electric charge in the second time period with the upper limit value of the electric charge to judge whether the operation schedule needs to be adjusted; when the operation schedule needs to be adjusted, adjusting the operation schedule by adjusting the power consumption parameters of the N intelligent household appliances in the first time period; and controlling the operation of the N intelligent household appliances according to the operation schedule. The invention can effectively control the operation of the intelligent household appliance on the premise of saving the electric charge.

Description

Intelligent household electrical station and intelligent household electrical appliance control method
Technical Field
The invention relates to an intelligent household electrical appliance and an intelligent household electrical appliance control method.
Background
Currently, intelligent home appliances are increasingly popular. However, there is no method for effectively managing the smart home appliances to save electricity charges.
Disclosure of Invention
In view of the foregoing, there is a need for an intelligent household appliance, which can effectively control the operation of the intelligent household appliance based on the premise of saving electricity charges.
In view of the foregoing, it is desirable to provide an intelligent household appliance control method that can effectively control the operation of an intelligent household appliance on the premise of saving electricity charges.
Intelligence household electrical appliances are connected with a N intelligence household electrical appliances and a mobile terminal communication, and N is the positive integer, and this intelligence household electrical appliances includes: at least one processor; a memory storing a plurality of modules for execution by the at least one processor, the plurality of modules comprising: the receiving module is used for receiving an operation schedule corresponding to a first time period and an electric charge upper limit value corresponding to a second time period, which are sent by the mobile terminal, wherein the operation schedule comprises electric parameters of the N intelligent household appliances in the first time period; the calculation module is used for calculating the electric charge of the N intelligent household appliances in the second time period; the judging module is used for comparing the electric charge in the second time period with the electric charge upper limit value to judge whether the operation schedule needs to be adjusted or not; the adjusting module adjusts the operation schedule by adjusting the power consumption parameters of the N intelligent household appliances in the first time period when the operation schedule needs to be adjusted; and the control module is used for controlling the operation of the N intelligent household appliances according to the operation schedule.
Preferably, the power usage parameters include a running time "T1" of each smart appliance during the first time period, and an operating parameter "S1" corresponding to the running time "T1".
Preferably, the electric charge of the N intelligent household appliances in the second time period is as follows: and the calculation module estimates and obtains the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the operation schedule, wherein the electric charge meter defines the abnormal electric charge price corresponding to the electricity consumption peak period and the normal electric charge price corresponding to the non-electricity consumption peak period.
Preferably, the electric charge of the N intelligent household appliances in the second time period is as follows: the calculation module calculates the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the detected and obtained electric quantity used by the N intelligent household appliances in the second time period.
Preferably, the control module sends a piece of confirmation information to the mobile terminal of the user before controlling the operation of the intelligent household appliance, and the control module starts the intelligent household appliance when receiving a signal for confirming execution fed back from the mobile terminal by the user.
Preferably, the control module: before controlling the intelligent household appliance to run according to the running schedule, acquiring the current position of a user; calling a preset electronic map according to the current position of the user, and estimating the home arrival time of the user according to the current road condition; and controlling the intelligent household appliance to be started before the home arrival time of the user.
Preferably, the control module: detecting the electric quantity used by each intelligent household appliance in a specified time period; calculating the total electric charge used by each intelligent household appliance in the appointed time period according to the electric quantity used by each intelligent household appliance in the appointed time period and the electric charge meter; and transmitting the total electric charge used by each intelligent household appliance in the appointed time period to the mobile terminal.
Preferably, the control module controls the operation of the N intelligent appliances according to event information recorded by a calendar based on the operation schedule.
The intelligent household appliance control method is applied to an intelligent household appliance which is in communication connection with N intelligent household appliances and a mobile terminal, wherein N is a positive integer, and the method comprises the following steps: a receiving step, receiving an operation schedule corresponding to a first time period and an electric charge upper limit value corresponding to a second time period, which are sent by the mobile terminal, wherein the operation schedule comprises electric parameters of the N intelligent household appliances in the first time period; calculating the electricity charges of the N intelligent household appliances in the second time period; a judging step of comparing the electric charge in the second time period with the electric charge upper limit value to judge whether the operation schedule needs to be adjusted; adjusting, when the operation schedule needs to be adjusted, the operation schedule by adjusting the power consumption parameters of the N intelligent household appliances in the first time period; and a control step of controlling the operation of the N intelligent household appliances according to the operation schedule.
Preferably, the power usage parameters include a running time "T1" of each smart appliance during the first time period, and an operating parameter "S1" corresponding to the running time "T1".
Preferably, the electric charge of the N intelligent household appliances in the second time period is as follows: and obtaining the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge table and the estimated operation schedule, wherein the electric charge table defines the abnormal electric charge price corresponding to the peak electricity utilization period and the normal electric charge price corresponding to the peak electricity non-utilization period.
Preferably, the electric charge of the N intelligent household appliances in the second time period is as follows: and calculating the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the detected and obtained electric quantity used by the N intelligent household appliances in the second time period.
Preferably, in the controlling step, before controlling the operation of the intelligent household appliance, a piece of confirmation information is sent to a mobile terminal of a user, and when a signal for confirming execution fed back from the mobile terminal by the user is received, the intelligent household appliance is started.
Preferably, in the controlling step: before controlling the intelligent household appliance to run according to the running schedule, acquiring the current position of a user; calling a preset electronic map according to the current position of the user, and estimating the home arrival time of the user according to the current road condition; and controlling the intelligent household appliance to be started before the home arrival time of the user.
Preferably, in the controlling step: detecting the electric quantity used by each intelligent household appliance in a specified time period; calculating the total electric charge used by each intelligent household appliance in the appointed time period according to the electric quantity used by each intelligent household appliance in the appointed time period and the electric charge meter; and transmitting the total electric charge used by each intelligent household appliance in the appointed time period to the mobile terminal.
Preferably, in the controlling step, the operations of the N intelligent home appliances are controlled according to event information recorded in a calendar based on the operation schedule.
Compared with the prior art, the intelligent household appliance and the intelligent household appliance control method can effectively control the operation of the intelligent household appliance on the premise of saving the electric charge.
Drawings
Fig. 1 is an internal architecture diagram of a preferred embodiment of the smart home of the present invention.
Fig. 2A is a functional block diagram of an intelligent appliance control system according to a preferred embodiment of the present invention.
Fig. 2B is a functional block diagram of an intelligent home appliance setting system according to a preferred embodiment of the present invention.
Fig. 3 is a flowchart illustrating a first control method of an intelligent appliance according to a preferred embodiment of the present invention.
Fig. 4 illustrates an operation schedule of the smart appliance.
Fig. 5 is a flowchart illustrating a second control method of an intelligent appliance according to a preferred embodiment of the present invention.
Description of the main elements
Figure GDA0003129346980000041
Figure GDA0003129346980000051
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
Referring to fig. 1, in the present embodiment, the intelligent household appliance 1 includes, but is not limited to, a first memory 10, a first processor 11, and an intelligent household appliance control system 100 (hereinafter referred to as "control system 100"). The intelligent household appliance 1 can control the operation of the N intelligent household appliances 2 by executing the control system 100. N is a positive integer, for example, N may be equal to 1, 2,3, or another number (three smart appliances 2 are shown in fig. 1).
In one embodiment, the intelligent household appliance 1 may be a personal computer, a server, or a controller. The N intelligent household appliances 2 may include household appliances such as an air conditioner, a washing machine, a floor sweeping robot, and an intelligent lamp.
In one embodiment, the control system 100 may control the N intelligent appliances 2 according to the input of the user from the mobile terminal 3.
In one embodiment, the mobile terminal 3 may be a mobile phone, a tablet computer, a personal digital assistant, or the like. The mobile terminal 3 includes a second memory 30, a second processor 31, an input device 32, a positioning device 33, a display screen 34, and an intelligent appliance setting system 300 (hereinafter referred to as "setting system 300"). The input device 32 is used to receive input from a user. In one embodiment, the display screen 34 and input device 32 may be integrated into one device, such as a touch screen display. The positioning device 33 may be used to locate the position where the mobile terminal 3 is currently located. The Positioning device 33 may calculate the position of the mobile terminal 3 by using Satellite signals of a Global Positioning System (GPS), an Assisted Global Positioning System (AGPS), a BeiDou Navigation Satellite System (BDS), or a glonass Satellite Navigation System (Global Navigation SATELLITE SYSTEM, GLONASS).
In one embodiment, the mobile terminal 3 may further include a calendar 35 for recording event information of the user according to the input of the user. The event information includes event content and occurrence time. For example, the mobile terminal 3 may record in the calendar 35 the user's day's leaving home in advance, leaving home behind, arriving home in advance, or arriving home behind according to the user's input. In one embodiment, the calendar 35 may be stored in said second memory 30.
In one embodiment, the intelligent household appliance 1, the intelligent household appliance 2, and the mobile terminal 3 may establish communication connection with each other by using the network 4. The network 4 may be a wireless network.
The first memory 10 is used for storing program codes and various data, such as the control system 100 installed in the intelligent household appliance 1, and realizes high-speed and automatic access to programs or data during the operation of the intelligent household appliance 1. The second memory 30 is used for storing program codes and various data, such as a setting system 300 installed in the mobile terminal 3, and realizes high-speed and automatic access to programs or data during the operation of the mobile terminal 3.
The first Memory 10 and the second Memory 30 include a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable rewritable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc Memory, a magnetic disk Memory, a tape Memory, or any other medium readable by a computer capable of carrying or storing data.
In some embodiments, the first processor 11 and the second processor 31 may be respectively composed of integrated circuits, for example, may be respectively composed of a single packaged integrated circuit, or may be respectively composed of a plurality of integrated circuits packaged with the same function or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips or graphics processors, or a combination of various control chips, and the like.
The first processor 11 is a Control Unit (Control Unit) of the intelligent household appliance 1, connects various components of the entire intelligent household appliance 1 by using various interfaces and lines, and executes various functions and processes data of the intelligent household appliance 1 by operating or executing programs or modules stored in the first memory 10 and calling data stored in the first memory 10, for example, executing the Control system 100 to Control the operation of the intelligent household appliance 2.
The second processor 31 is a control core of the mobile terminal 3, connects various components of the entire mobile terminal 3 by using various interfaces and lines, and executes various functions and processing data of the mobile terminal 3 by running or executing programs or modules stored in the second memory 30 and calling data stored in the second memory 30, for example, executing the setting system 300 to set operation parameters of the intelligent appliance 2.
In one embodiment, the control system 100 may include one or more computer instructions in the form of a program stored in the first memory 10 and executed by the first processor 11. In this embodiment, the control system 100 may be integrated in the first processor 11. In other embodiments, the control system 100 may be independent from the first processor 11. Referring to fig. 2A, the control system 100 may include one or more modules, such as a receiving module 1001, a calculating module 1002, a determining module 1003, an adjusting module 1004, and a control module 1005 shown in fig. 2A.
In one embodiment, the setup system 300 may include one or more computer instructions in the form of a program stored in the second memory 30 and executed by the second processor 31. In this embodiment, the setting system 300 may be integrated in the second processor 31. In other embodiments, the setting system 300 may be independent from the second processor 31. Referring to fig. 2B, the setting system 300 may include one or more modules, such as the setting module 3001, the sending module 3002, and the display module 3003 shown in fig. 2B.
Fig. 3 is a flowchart illustrating a first control method of an intelligent appliance according to a preferred embodiment of the present invention. The order of the steps in the flow chart may be changed, and some steps may be omitted or combined according to different requirements.
In step S301, the setting module 3001 in the mobile terminal 3 sets an operation schedule corresponding to a first time period. The operation schedule includes power consumption parameters of the N intelligent appliances 2 in the first time period, where the power consumption parameters include a running time "T1" of each intelligent appliance 2 in the first time period and an operation parameter "S1" corresponding to the running time "T1".
In one embodiment, the runtime "T1" is a time period that includes a startup time and a shutdown time. For example, assume a run time of 17:00-17:30, i.e., a run time period of 30 minutes, a start-up time of 17:00, and a shut-down time of 17: 30.
In one embodiment, the setting module 3001 sets the operation schedule according to the input of the user. For example, the setting module 3001 may display a setting interface on the display screen 34 of the mobile terminal 3, so that the user can set the operation time "T1" of each intelligent appliance 2 and the corresponding operation parameter "S1" in the setting interface.
For example, referring to fig. 4, the setting module 3001 sets an operation schedule 400 according to the input of the user, wherein the first time period corresponding to the operation schedule 400 is monday to sunday. As can be seen from the operation schedule 400, the setting module 3001 sets the operation time "T1" and the corresponding operation parameter "S1" for the smart light, the washing machine, the air conditioner, and the sweeping robot, respectively.
The operation parameter "S1" corresponding to different types of intelligent home appliances 2 is defined differently. For example, for a smart lamp, the operating parameter "S1" may refer to the operating power of the smart lamp. Different operating powers correspond to different brightnesses of the smart lamp.
As another example, for a washing machine, the operation parameter "S1" may refer to a washing mode of the washing machine, such as a standard washing mode, a power washing mode, or other modes such as a soak washing mode. The different washing modes correspond to different operating powers of the washing machine.
For another example, for an air conditioner, the operating parameter "S1" may refer to a cold air temperature. Different cold air temperatures correspond to different operating powers of the air conditioner.
As another example, for a sweeping robot, the operation parameter "S1" may be an operation mode of the sweeping robot, such as a standard mode, a power mode, or another mode, such as a quiet mode. Different operation modes correspond to different operation powers of the sweeping robot.
In one embodiment, the setting module 3001 may further set an upper electricity rate limit according to a user input (e.g., a user input from the input device 32). In one embodiment, the electric charge upper limit value corresponds to the second time period. The electric charge upper limit value refers to a maximum value that defines the electric charge that can be used in the second period.
In one embodiment, the second time period may be a time range within the first time period, for example, a day (i.e., a time period of 00:00-24: 00). That is, the upper limit value of the electricity rate is a maximum value that defines the electricity rate that can be used during a day.
In one embodiment, the mobile terminal 3 may further record event information of the user in the calendar 35 according to the input of the user by using the setting module 3001. The event information includes event content and occurrence time. For example, the setting module 3001 may record the user's leaving home in advance, leaving home behind, arriving home in advance, or arriving home behind in the calendar 35 on a certain day according to the user's input. For example, the setup module 3001 records in the calendar 35 that the user has advanced 2018/1/1 to 17:00 home based on the user's input.
In step S302, the sending module 3002 in the mobile terminal 3 sends the operation schedule corresponding to the first time period, the electricity fee upper limit value corresponding to the second time period, and the user event information recorded by the calendar 35, which are set by the setting module 3001 in step S301, to the smart home 1.
In step S303, the receiving module 1001 in the smart home station 1 receives the operation schedule corresponding to the first time period, the upper limit value of the electricity fee corresponding to the second time period, and the event information of the user recorded by the calendar 35, which are sent by the sending module 3002.
In one embodiment, the receiving module 1001 may store the operation schedule corresponding to the first time period, the upper limit value of the electricity fee corresponding to the second time period, and the event information of the user recorded by the calendar 35 in the first memory 10.
In step S304, the calculating module 1002 in the intelligent household appliance 1 estimates the total electric charge of the N intelligent household appliances 2 in the second time period according to a preset electric charge meter and the operation schedule.
In one embodiment, the calculation module 1002 may estimate the total electricity charges of the N intelligent appliances 2 in the second time period before executing the operation schedule every day.
In this embodiment, the electricity fee table defines different electricity fee prices corresponding to different electricity periods. The power consumption period is divided into a power consumption peak period and a non-power consumption peak period. The electricity charge price is divided into a normal electricity charge price and an abnormal electricity charge price. The abnormal electricity rate price is higher than the normal electricity rate price. The normal electricity charge price is a price per one degree of electricity at a non-electricity consumption peak time specified by an electric power company. The abnormal electricity rate price may refer to a price per one degree of electricity at a power consumption peak time specified by an electric power company.
For example, the electricity rate table records that abnormal electricity rate prices (e.g., 4-dollar per one-degree electricity charge) correspond to the electricity rate tables during periods 2018/1/1 through 2018/1/7 and during periods 07:30 through 20: 30. The 20:30 to 07:30 periods correspond to normal electricity charge prices (e.g., 2 dollars per degree of electricity charge).
For example, taking the second time period as one day, the calculating module 1002 estimates the total electricity rate of the N intelligent electrical appliances 2 at 2018/1/1, and the calculating module 1002 may first estimate 2018/1/1 a first total electricity amount corresponding to the peak electricity consumption period of the day and a second total electricity amount corresponding to the peak electricity consumption period. Then, a first total electricity rate value is obtained by multiplying the first total electricity consumption by the abnormal electricity consumption price, a second total electricity rate value is obtained by multiplying the second total electricity consumption by the normal electricity consumption price, and a third total electricity rate value is obtained by adding the second total electricity rate value to the first total electricity rate value. The third total electric charge value can be used as the total electric charge of the N intelligent electronic appliances 2 at 2018/1/1 days estimated by the calculating module 1002.
In one embodiment, when the calculating module 1002 estimates the first and second total amounts of electricity, it first determines which intelligent appliances 2 of the N intelligent appliances 2 are operated during peak periods of electricity consumption and which intelligent appliances 2 of the N intelligent appliances 2 are operated during peak periods of electricity consumption on the same day (e.g., 2018/1/1) according to the correspondence between the current day, such as 2018/1/1, and the operation schedule (e.g., 2018/1/1 corresponds to monday of the operation schedule), and the electricity fee table. Then, the electricity consumption of each intelligent household appliance 2 which operates in the electricity utilization peak period on the same day is counted, and the electricity consumption of each intelligent household appliance 2 which operates in the non-electricity utilization peak period on the same day is counted.
In addition, it should be noted that, as will be understood by those skilled in the art, the power consumption is calculated according to the operation power and the operation time. The calculation module 1002 may obtain each running time of the intelligent appliance 2 and the corresponding running parameter of each running time from the operation schedule. Since the definition of the operating parameters is different for different intelligent appliances 2. In this embodiment, for the case that the operating power of a certain intelligent household appliance 2 cannot be directly obtained from the operating parameters, the setting module 3001 of the mobile terminal 3 may transmit the operating power corresponding to different operating parameters of the certain intelligent household appliance 2 to the intelligent household appliance 1 in advance according to the input of the user, and the intelligent household appliance 1 may store the operating power corresponding to different operating parameters of the certain intelligent household appliance 2 in the first memory 10, so that the computing module 1002 may obtain the operating power corresponding to the certain intelligent household appliance 2 at a certain operating time from the first memory 10 after obtaining the operating parameters corresponding to the certain operating time of the certain intelligent household appliance 2. Therefore, the calculating module 1002 can calculate the electricity consumption according to the operation power and the operation time.
In step S305, the determining module 1003 in the intelligent household appliance 1 compares the estimated total power rate with the power rate upper limit value to determine whether to adjust the operation schedule.
In this embodiment, when the estimated total electric charge is greater than the electric charge upper limit, the determining module 1003 determines that the operation schedule needs to be adjusted, and executes step S306. When the estimated total electric charge is less than or equal to the electric charge upper limit, the determining module 1003 determines that the operation schedule does not need to be adjusted, and executes step S307.
In step S306, when it is determined that the operation schedule needs to be adjusted, the adjusting module 1004 in the intelligent household appliance 1 adjusts the operation schedule, so as to obtain an adjusted operation schedule.
In one embodiment, the adjusting module 1004 may adjust the operation schedule by adjusting the power consumption parameter of the smart appliance 2. The adjustment module 1004 may adjust the operation time of the smart appliance 2 from "T1" to "T2" and/or adjust the operation parameters from "S1" to "S2". Here, "T2" may be a time period corresponding to the non-power-use peak period, or the time period corresponding to "T2" is shorter than the time period corresponding to "T1". The operating power corresponding to the operating parameter "S2" is less than the operating power corresponding to the operating parameter "S1".
For example, assuming that the total power rate of the N intelligent household appliances 2 at 2018/1/1 is estimated to be greater than the upper limit value of the power rate, referring to fig. 4, the operation schedule setting 2018/1/1 indicates that four intelligent household appliances 2 are operated on the same day, and the four intelligent household appliances 2 are a floor sweeping robot, a washing machine, an intelligent lamp, and an air conditioner, respectively. Since the operation schedule 400 sets that the operation time of the sweeping robot corresponding to 2018/1/1 belongs to the electricity consumption peak period, in order to save electricity charges, the adjusting module 1004 may adjust the operation time of the sweeping robot from the electricity consumption peak period to the non-electricity consumption peak period (for example, adjust the operation time of the sweeping robot from 08:00-09:00 to 20:30-21:30), and since the electricity charge price in the non-electricity consumption peak period is less than the electricity charge price in the electricity consumption peak period, the purpose of saving electricity charges is achieved. Further, the adjusting module 1004 may also adjust the operation mode of the sweeping robot from a power mode to a standard mode. The operating power corresponding to the power mode is greater than the operating power corresponding to the standard mode.
For another example, since the operation schedule 400 sets the operation time of the air conditioner corresponding to 2018/1/1 in the current day as the peak power consumption period, the adjusting module 1004 may adjust the operation parameters of the air conditioner corresponding to the operation time 19:00-20:00, such as the temperature is increased by one degree, in order to save the electricity charges. In one embodiment, the adjustment module 1004 may further set an electric fan with a lower operating power than the air conditioner to be activated during the operating time 19:00-20: 00.
For another example, since the operation schedule 400 sets the operation time of the smart lamp corresponding to 2018/1/1 day to belong to the peak power consumption period, in order to save the electricity fee, the adjusting module 1004 may adjust the operation parameters of the smart lamp corresponding to the operation time 17:30-21:00, for example, adjust the operation power of the smart lamp at the operation time 17:30-21:00 from the first power to the second power, which is smaller than the first power.
In one embodiment, the adjusting module 1004 can also adjust the operation schedule according to the event information recorded in the calendar. For example, assuming that the calendar 35 records that the user moves to 17:00 home at 2018/1/1, since the operation schedule setting 2018/1/1 allows the washing machine to operate at 17:00-17:30 the day, the adjusting module 1004 can adjust the operation time of the washing machine to 16:30-17:00, i.e. half an hour in advance, so that the user just finishes washing clothes at home and can directly dry clothes.
In step S307, the control module 1005 in the intelligent household appliance 1 controls the operation of the N intelligent household appliances 2 according to the operation schedule.
When the process goes from the step S306 to the step S307 (i.e., the operation schedule is adjusted by the adjusting module 1004), the control module 1005 controls the operation of the intelligent appliance 2 according to the adjusted operation schedule.
For example, when the running time of the sweeping robot at 2018/1/1 is set to be 20:30-21:30 in the adjusted operation schedule, and the corresponding running parameter is the standard mode, the control module 1005 starts the sweeping robot at 2018/1/1, 20:30, and controls the sweeping robot to run according to the standard mode during 20:30-21: 30.
For another example, when the adjusted operation schedule sets the operation time of the air conditioner at 2018/1/1 to 19:00-20:00, the control module 1005 controls the air conditioner to start at 2018/1/1, 19:00 and controls the air conditioner to operate at the cooling temperature of 26 degrees during 19:00-20: 00. If the adjusting module 1004 further sets the electric fan of the air conditioner to be activated within the operation time of 19:00-20:00 in step S303, the control module 1005 further controls the electric fan to operate within the operation time of 19:00-20: 00.
When the process goes from step S305 to step S307 directly (i.e. the operation schedule is not adjusted by the adjusting module 1004), the control module 1005 controls the operation of the intelligent home appliance 2 according to the operation schedule set in step S301.
In one embodiment, when the adjusting module 1004 does not adjust the operation schedule according to the event information recorded in the calendar in the step S306, the control module 1005 may control the operation of the smart appliance 2 according to the event information based on the operation schedule. For example, assuming that the calendar 35 records that the user arrives at 17:00 before 2018/1/1, and assuming that the operation time of the washing machine on the day 2018/1/1 is not adjusted in step S306, i.e., the washing machine still operates at 17:00-17:30, the adjusting module 1004 may adjust the operation time of the washing machine to 16:30-17:00 before half an hour in this step, so that the user just finishes washing clothes at home and can directly dry clothes.
In one embodiment, the control module 1005 obtains the current location of the user before controlling a certain intelligent appliance 2 of the N intelligent appliances 2 to operate according to the operation schedule, and controls the operation of the certain intelligent appliance 2 according to the current location of the user. Taking the intelligent household appliance 2 as a washing machine as an example, the current location of the user can be obtained from the positioning module 33 of the mobile terminal 3. After the control module 1005 acquires the current position of the user, a preset electronic map can be called according to the current position of the user, the time of the user arriving at home is estimated according to the current road condition, and the control module 110 can start the washing machine half an hour before the user arrives at home (i.e., start the washing machine half an hour in advance), so that the user just finishes washing clothes when arriving at home, and can directly dry clothes. It should be noted that the reason why the washing machine is started half an hour in advance is that the running time of the washing machine is half an hour, so that the washing machine just finishes washing when a user arrives at home.
In one embodiment, the control module 1005 further sends a confirmation message to the mobile terminal 3 of the user before the intelligent appliance 2 is started, and when a signal for confirming execution fed back from the mobile terminal 3 by the user is received, the control module 1005 starts the intelligent appliance 2.
In one embodiment, the display module 3003 of the mobile terminal 3 may send a first request signal to the intelligent household appliance 1 in response to the input of the user, so as to request to obtain the total electric charges respectively used by the intelligent household appliances 2 in the specified time period. After the receiving module 1001 in the intelligent household appliance 1 receives the first request signal, the calculating module 1002 detects the electric quantity used by each intelligent household appliance 2 in the specified time period, and calculates the total electric charge used by each intelligent household appliance 2 in the specified time period according to the electric quantity used by each intelligent household appliance 2 in the specified time period and the electric charge meter. The calculating module 1002 sends the total electric charge used by each intelligent household appliance 2 in the specified time period to the mobile terminal 3, so that the display module 3003 of the mobile terminal 3 can display the electric charge used by each intelligent household appliance 2 in the specified time period on the display screen 34.
In one embodiment, the specified time period may refer to M divided periods into which the second time period is divided. M is a positive integer, for example M may be equal to 2,3, 4. For example, assuming that the second time period is a time period corresponding to a day, the specified time period may refer to three sub-periods into which the day is divided, and the three sub-periods are, for example, 00:00-08:00, 08:00-16:00, and 16:00-00: 00.
In an embodiment, the display module 3003 of the mobile terminal 3 may further send a second request signal to the intelligent household appliance 1 in response to the input of the user, so as to request to obtain the percentage of the total electric charge used by the N intelligent household appliances 2 in the second time period to the upper limit of the electric charge. After the receiving module 1001 in the intelligent household appliance 1 receives the second request signal, the calculating module 1002 detects the used electric quantity of the N intelligent household appliances 2 in the second time period, so as to calculate the total electric charge used by the N intelligent household appliances 2 in the second time period according to the used electric quantity and the electric charge meter, and calculate the percentage by dividing the total used electric charge by the electric charge upper limit value. The calculation module 1002 transmits the calculated percentage to the mobile terminal 3 so that the display module 3003 of the mobile terminal 3 can display the calculated percentage on the display screen 34. In one embodiment, when the percentage is in different ranges, the display module 3003 correspondingly displays the percentage in a pattern of a designated shape with different colors.
For example, when the percentage is between 0% and 50%, the display module 3003 displays a green spherical pattern, and marks the percentage on the pattern or around the pattern, for example, above the pattern. When the percentage is between 51% and 75%, the display module 3003 displays a yellow spherical pattern and marks the percentage on the pattern or around the pattern, for example, above the pattern. When the percentage is between 76% and 95%, the display module 3003 displays an orange spherical pattern, and marks the percentage on the pattern or around the pattern, for example, above the pattern. When the percentage is greater than 96%, the display module 3003 displays a red spherical pattern, and marks the percentage on the pattern or around the pattern, for example, above the pattern.
In step S308, the determining module 1003 determines whether the operation schedule is completed. When the operation schedule is completed, the process is ended. When the operation schedule is not completed, the process returns to step S304.
In one embodiment, it is determined whether the operation schedule is completed, i.e., whether the operation schedule of a week (i.e., Monday through Sunday) is executed.
Fig. 5 is a flowchart illustrating a second control method of an intelligent appliance according to a preferred embodiment of the present invention. The order of the steps in the flow chart may be changed, and some steps may be omitted or combined according to different requirements.
In step S501, the setting module 3001 in the mobile terminal 3 sets an operation schedule corresponding to a first time period. The operation schedule includes power consumption parameters of the N intelligent appliances 2 in the first time period, where the power consumption parameters include a running time "T1" of each intelligent appliance 2 in the first time period and an operation parameter "S1" corresponding to the running time "T1".
The setting module 3001 may also set an upper limit value of the electricity rate according to an input from a user (e.g., an input from the mobile terminal 3 by the user). In one embodiment, the electric charge upper limit value corresponds to the second time period. The electric charge upper limit value refers to a maximum value that defines the electric charge that can be used in the second period.
In one embodiment, the second time period may be one day (i.e., a time period of 00:00-24: 00). That is, the upper limit value of the electricity rate is a maximum value that defines the electricity rate that can be used during a day.
This step is the same as step S301, and therefore is not described again.
In step S502, the sending module 3002 in the mobile terminal 3 sends the operation schedule corresponding to the first time period, the electricity fee upper limit value corresponding to the second time period, and the user event information recorded by the calendar 35, which are set by the setting module 3001 in step S501, to the smart home 1.
In step S503, the receiving module 1001 in the smart home station 1 receives the operation schedule corresponding to the first time period, the upper limit value of the electricity fee corresponding to the second time period, and the event information of the user recorded by the calendar 35, which are sent by the sending module 3002.
In step S504, the control module 1005 controls the operation of the N intelligent electronic appliances 2 according to the operation schedule.
For example, referring to fig. 4, the control module 1005 may start the sweeping robot at 2018/1/1, 08:00 according to the operation schedule, and control the sweeping robot to operate in a brute force mode at 08:00-09: 00.
In step S505, the calculating module 1002 in the intelligent household appliance 1 detects the used electric quantity of the N intelligent household appliances 2 in the second time period, so as to calculate the total electric charge used by the N intelligent household appliances 2 in the second time period according to the used electric quantity and the electric charge meter.
In step S506, the determining module 1003 in the intelligent household appliance 1 compares the used total power rate with the power rate upper limit value to determine whether to adjust the operation schedule. If the total used electricity rate is less than the upper limit of the electricity rate, it is determined that the operation schedule does not need to be adjusted, and step S508 is executed. If the total used electricity fee is greater than or equal to the upper limit of the electricity fee, it is determined that the operation schedule needs to be adjusted, and step S507 is executed.
In step S507, the adjusting module 1005 in the smart home station 1 adjusts the operation schedule, so as to obtain an adjusted operation schedule.
The adjusting module 1005 adjusts the operation schedule in step S306. I.e., all adjustments to schedules that have not yet been executed.
In step S508, the control module 1005 in the intelligent household appliance 1 controls the operation of the N intelligent household appliances 2 according to the operation schedule.
In this step, the control module 1005 controls the operations of the N intelligent electronic appliances 2 according to the operation schedule in step S307.
In step S509, the determining module 1003 in the intelligent household electrical plant 1 determines whether the operation schedule is completed. When the operation schedule is completed, the process is ended. When the operation schedule is not completed, the process returns to step S505.
In one embodiment, it is determined whether the operation schedule is completed, i.e., whether the operation schedule of a week (i.e., Monday through Sunday) is executed.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the above preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (16)

1. The utility model provides an intelligence household electrical appliances, its characterized in that, this intelligence household electrical appliances and a mobile terminal communication connection, N is the positive integer, and this intelligence household electrical appliances includes:
at least one processor;
a memory storing a plurality of modules for execution by the at least one processor, the plurality of modules comprising:
the receiving module is used for receiving an operation schedule which is sent by the mobile terminal and corresponds to a first time period and an electric charge upper limit value which corresponds to a second time period, wherein the operation schedule comprises electric parameters of the N intelligent household appliances in the first time period, and the second time period is a time range in the first time period;
the calculation module is used for calculating the electric charge of the N intelligent household appliances in the second time period;
the judging module is used for comparing the electric charge in the second time period with the electric charge upper limit value to judge whether the operation schedule needs to be adjusted or not;
the adjusting module adjusts the operation schedule by adjusting the power consumption parameters of the N intelligent household appliances in the first time period when the operation schedule needs to be adjusted; and
and the control module is used for controlling the operation of the N intelligent household appliances according to the operation schedule.
2. The intelligent household appliance according to claim 1, wherein the power usage parameters include a running time "T1" of each intelligent household appliance in the first time period, and an operating parameter "S1" corresponding to the running time "T1".
3. The intelligent household appliance according to claim 1, wherein the electric charge of the N intelligent household appliances in the second time period is: and the calculation module estimates and obtains the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the operation schedule, wherein the electric charge meter defines the abnormal electric charge price corresponding to the electricity consumption peak period and the normal electric charge price corresponding to the non-electricity consumption peak period.
4. The intelligent household appliance according to claim 1, wherein the electric charge of the N intelligent household appliances in the second time period is: the calculation module calculates the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the detected and obtained electric quantity used by the N intelligent household appliances in the second time period.
5. The intelligent household appliance according to claim 1, wherein the control module sends a confirmation message to the user's mobile terminal before controlling the operation of the intelligent household appliance, and the control module starts the intelligent household appliance when receiving a signal of confirmation execution fed back from the mobile terminal by the user.
6. The intelligent household appliance of claim 1, wherein the control module:
before controlling the intelligent household appliance to run according to the running schedule, acquiring the current position of a user;
calling a preset electronic map according to the current position of the user, and estimating the home arrival time of the user according to the current road condition; and
and controlling the intelligent household appliance to be started before the home arrival time of the user.
7. The intelligent household appliance of claim 3, wherein the control module:
detecting the electric quantity used by each intelligent household appliance in a specified time period;
calculating the total electric charge used by each intelligent household appliance in the appointed time period according to the electric quantity used by each intelligent household appliance in the appointed time period and the electric charge meter; and
and transmitting the total electric charge used by each intelligent household appliance in the specified time period to the mobile terminal.
8. The intelligent household appliance of claim 1, wherein the control module controls operation of the N intelligent household appliances based on the operation schedule and event information recorded by a calendar of the mobile terminal.
9. An intelligent household appliance control method is applied to an intelligent household appliance which is in communication connection with N intelligent household appliances and a mobile terminal, wherein N is a positive integer, and the method is characterized by comprising the following steps:
a receiving step, receiving an operation schedule corresponding to a first time period and an electric charge upper limit value corresponding to a second time period, which are sent by the mobile terminal, wherein the operation schedule comprises electric parameters of the N intelligent household appliances in the first time period, and the second time period is a time range in the first time period;
calculating the electricity charges of the N intelligent household appliances in the second time period;
a judging step of comparing the electric charge in the second time period with the electric charge upper limit value to judge whether the operation schedule needs to be adjusted;
adjusting, when the operation schedule needs to be adjusted, the operation schedule by adjusting the power consumption parameters of the N intelligent household appliances in the first time period; and
and a control step of controlling the operation of the N intelligent household appliances according to the operation schedule.
10. The intelligent appliance control method of claim 9, wherein the power usage parameters include a running time "T1" of each intelligent appliance in the first time period and an operating parameter "S1" corresponding to the running time "T1".
11. The intelligent appliance control method according to claim 9, wherein the electricity charges of the N intelligent appliances in the second time period are: and obtaining the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge table and the estimated operation schedule, wherein the electric charge table defines the abnormal electric charge price corresponding to the peak electricity utilization period and the normal electric charge price corresponding to the peak electricity non-utilization period.
12. The intelligent appliance control method according to claim 9, wherein the electricity charges of the N intelligent appliances in the second time period are: and calculating the total electric charge of the N intelligent household appliances in the second time period according to a preset electric charge meter and the detected and obtained electric quantity used by the N intelligent household appliances in the second time period.
13. The intelligent appliance control method of claim 9, wherein in the controlling step, before controlling the operation of the intelligent appliance, a confirmation message is transmitted to a mobile terminal of a user, and when a signal for confirming execution fed back from the mobile terminal by the user is received, the intelligent appliance is started.
14. The intelligent appliance control method according to claim 9, wherein in the controlling step:
before controlling the intelligent household appliance to run according to the running schedule, acquiring the current position of a user;
calling a preset electronic map according to the current position of the user, and estimating the home arrival time of the user according to the current road condition; and
and controlling the intelligent household appliance to be started before the home arrival time of the user.
15. The intelligent appliance control method according to claim 11, wherein in the controlling step:
detecting the electric quantity used by each intelligent household appliance in a specified time period;
calculating the total electric charge used by each intelligent household appliance in the appointed time period according to the electric quantity used by each intelligent household appliance in the appointed time period and the electric charge meter; and
and transmitting the total electric charge used by each intelligent household appliance in the specified time period to the mobile terminal.
16. The intelligent appliance control method according to claim 9, wherein in the controlling step, the operations of the N intelligent appliances are controlled based on the operation schedule and event information recorded by the calendar of the mobile terminal.
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Publication number Priority date Publication date Assignee Title
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CN105894188A (en) * 2016-03-31 2016-08-24 湘潭大学 Household load scheduling method
CN107769198A (en) * 2017-11-21 2018-03-06 国网四川省电力公司成都供电公司 Home intelligent power planing method containing photovoltaic generation under different Price Mechanisms

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102591276A (en) * 2012-01-18 2012-07-18 山东工商学院 Intelligent electric meter system for residents for intelligent smart grid
CN103617566A (en) * 2013-12-05 2014-03-05 中国能源建设集团广东省电力设计研究院 Intelligent electricity using system based on real-time electricity price
KR20160038946A (en) * 2014-09-30 2016-04-08 한국전기연구원 Method for schedulling load consumption for equalization of house load
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