WO2015180386A1 - 用电量统计方法、装置和系统 - Google Patents

用电量统计方法、装置和系统 Download PDF

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Publication number
WO2015180386A1
WO2015180386A1 PCT/CN2014/089255 CN2014089255W WO2015180386A1 WO 2015180386 A1 WO2015180386 A1 WO 2015180386A1 CN 2014089255 W CN2014089255 W CN 2014089255W WO 2015180386 A1 WO2015180386 A1 WO 2015180386A1
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WIPO (PCT)
Prior art keywords
smart
power
switch
state
switches
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Ceased
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PCT/CN2014/089255
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English (en)
French (fr)
Inventor
刘国明
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Xiaomi Inc
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Xiaomi Inc
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Application filed by Xiaomi Inc filed Critical Xiaomi Inc
Priority to MX2015001117A priority Critical patent/MX351391B/es
Priority to KR1020147035926A priority patent/KR101642634B1/ko
Priority to JP2016522258A priority patent/JP6474796B2/ja
Priority to BR112015001377-5A priority patent/BR112015001377B1/pt
Priority to RU2015102081/08A priority patent/RU2601176C2/ru
Priority to US14/586,269 priority patent/US10598707B2/en
Publication of WO2015180386A1 publication Critical patent/WO2015180386A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
    • G01R21/1333—Arrangements for measuring electric power or power factor by using digital technique adapted for special tariff measuring
    • G01R21/1335—Tariff switching circuits
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D1/00—Measuring arrangements giving results other than momentary value of variable, of general application
    • G01D1/04—Measuring arrangements giving results other than momentary value of variable, of general application giving integrated values
    • G01D1/06—Measuring arrangements giving results other than momentary value of variable, of general application giving integrated values by intermittent summation
    • G01D1/08—Measuring arrangements giving results other than momentary value of variable, of general application giving integrated values by intermittent summation over fixed periods of time
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00—Tariff metering apparatus
    • G01D4/002—Remote reading of utility meters
    • 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
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20—Smart grids as enabling technology in buildings sector
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/242—Home appliances
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/30—Smart metering, e.g. specially adapted for remote reading

Definitions

  • the present disclosure relates to the field of smart homes, and in particular, to a power consumption statistics method, apparatus and system.
  • control center In a smart home system, the control center usually needs to control and query each connected device. For this reason, the control center and all connected devices must be energized from time to time. In the smart home system, the statistics and analysis of the power consumption of all connected devices are separately performed, so that it is necessary to know the power consumption of each connected device from time to time.
  • the switch of the meter can be used to count the power consumption of the device controlled by the switch.
  • the switch of the meter can be used to monitor the power consumption of each connected device in each connected device, and then the user reads the display of each meter to calculate and analyze the connected devices. Power consumption.
  • the number of connected devices and the switches of the charging meter corresponds to each other, that is, the N connected devices need to be installed with N switches, and N electric meters are required, and the number of electric meters used is relatively large. It causes a certain waste, and needs to manually read the readings of each meter to make corresponding statistics, which not only consumes the user's energy, but also is troublesome to operate.
  • the present invention provides a power consumption statistics method, apparatus and system.
  • a power consumption statistics method is provided, which is applicable to performing power consumption statistics on a plurality of powered devices by using one smart meter, and each of the smart switches and the plurality of power switches respectively One or more connections in the device, and each of the smart switches is connected to the smart meter, the method comprising:
  • determining the average power of each of the smart switches according to part or all of the plurality of sets of power parameters including:
  • At least two sets of first electrical parameters are selected, the at least two sets of first electrical parameters are continuously sampled, and each of the first electrical parameters is intelligent The state of the switch has not changed;
  • At least two sets of second electrical parameters are selected, the at least two sets of second electrical parameters are continuously sampled, and each of the second electrical parameters is intelligent
  • the state of the switch does not change, and the state of the smart switch in the second power parameter is different from the state of the smart switch in the first power parameter;
  • the sampling the reading of the smart meter and the state of the smart switch at a set sampling interval time interval to obtain a plurality of sets of power parameters including:
  • the state of the smart switch is at least one different from the state of the smart switch in the first sampling time.
  • determining, according to part or all of the power consumption parameters, an average power of each of the smart switches including:
  • the determining the working duration of each of the smart switches in the set statistical time includes:
  • the open command is used to turn on each of the smart switches
  • the smart switch When the opening command is detected, the smart switch is turned on, and a timer corresponding to the opened smart switch is started to be started, and the timer is set in one-to-one correspondence with the smart switch;
  • the shutdown instruction is used to turn off each of the smart switches
  • the smart switch When the closing instruction is detected, the smart switch is turned off, and the timer corresponding to the closed smart switch is controlled to stop timing;
  • a power consumption statistics device comprising:
  • a sampling module configured to sample the reading of the smart meter and the state of the smart switch at a set sampling interval, to obtain a plurality of sets of power parameters, each set of the power parameters including the reading of the smart meter and the smart switch status;
  • a power determining module configured to determine an average power of each of the smart switches according to part or all of the plurality of sets of power parameters
  • a duration determining module configured to determine a working duration of each of the smart switches in a set statistical time
  • the power determining module is configured to determine, according to the working duration of each of the smart switches and the average power of each of the smart switches, the power consumption of each of the smart switches during the statistical time.
  • the power determining module includes:
  • a first selecting unit configured to select at least two groups of first power parameters, wherein the at least two groups of first power parameters are continuously sampled, and the first power is used The state of each of the smart switches in the parameter does not change;
  • a first determining unit configured to determine, according to the reading of the smart meter in the first power consumption parameter, a first overall average power of the smart switch in a state in which the state of the first power parameter is on;
  • a second selecting unit configured to select at least two sets of second electrical parameters, wherein the at least two sets of second electrical parameters are continuously sampled, and the second power is used
  • the state of each of the smart switches in the parameter does not change, and the state of the smart switch in the second power parameter is different from the state of the smart switch in the first power parameter.
  • a second determining unit configured to determine, according to the reading of the smart meter in the second power parameter, a second overall average power of the smart switch in a state in which the second power parameter is turned on;
  • a third determining unit configured to determine, according to the first overall average power and the second overall average power, the smart switch that changes in state of the first power parameter and the second power parameter Average power.
  • the sampling module includes:
  • a first control unit configured to control a state of each of the smart switches to remain unchanged during a first sampling time, and sample the smart meter readings at the set sampling interval time interval to obtain a first reading
  • a second control unit configured to control a state of each of the smart switches to remain unchanged during a second sampling time, sampling the smart meter readings at the set sampling interval time interval, to obtain a second reading, During the second sampling time, there is at least one difference between the state of the smart switch and the state of the smart switch in the first sampling time.
  • the first determining unit is further configured to determine, according to the first reading and the first sampling time, a first overall average power of the smart switch in an open state;
  • the second determining unit is further configured to determine, according to the second reading and the second sampling time, a second overall average power of the smart switch in an open state;
  • the third determining unit is further configured to determine, according to the first overall average power and the second overall average power, the intelligence that changes state in the second sampling time and the first sampling time The average power of the switch.
  • the duration determining module includes:
  • a detecting unit configured to detect whether there is an open command, where the open command is used to turn on each of the smart switches
  • an opening unit configured to: when the opening command is detected, turn on the smart switch, and control a timer corresponding to the opened smart switch to start timing, and the timer is set in one-to-one correspondence with the smart switch;
  • the detecting unit is further configured to detect whether there is a closing instruction, and the closing instruction is used to turn off each of the smart switches;
  • a closing unit configured to: when the closing instruction is detected, turn off the smart switch, and control the timer corresponding to the closed smart switch to stop timing;
  • a processing unit configured to detect whether an end time of the statistical time is reached, when an end time of the statistical time is reached, reading a reading of the timer, and determining, according to the reading of the timer, each of the smart switches length of work.
  • a power consumption statistics device comprising:
  • a memory for storing processor executable instructions
  • processor is configured to:
  • a power usage statistics system comprising:
  • a smart meter a plurality of smart switches and a terminal, each of the smart switches being connected to one or more powered devices, each of the smart switches being connected to the smart meter, each of the smart switches and The smart meters are each wirelessly connected to the terminal, and the terminal is provided with the devices of the second and third aspects of the embodiments of the present disclosure.
  • the plurality of sets of power parameters are sampled by using the set sampling interval, and the average power of each smart switch is determined according to the power parameters, and then the power consumption of each smart switch is determined according to the average power and the working time of each smart switch.
  • a smart meter and multiple smart switches can automatically calculate the power consumption of one or more powered devices controlled by each smart switch, which reduces the number of smart meters used, saves costs, and eliminates manual readings and The trouble of statistical analysis makes the smart home life more convenient.
  • FIG. 1a is a block diagram of an application scenario shown in an embodiment of the present disclosure.
  • FIG. 1 is a flow chart showing a method of power consumption statistics according to an exemplary embodiment.
  • FIG. 2 is a flow chart showing a method of power consumption statistics according to an exemplary embodiment.
  • FIG. 3 is a flow chart showing a method of power consumption statistics according to an exemplary embodiment.
  • FIG. 4 is a block diagram of a power usage statistics device, according to an exemplary embodiment.
  • FIG. 5 is a block diagram of a power usage statistics device, according to an exemplary embodiment.
  • FIG. 6 is a block diagram of a power usage statistics system, according to an exemplary embodiment.
  • FIG. 7 is a block diagram of an apparatus, according to an exemplary embodiment.
  • the system includes: a smart meter 1, a plurality of smart switches 2, a terminal 3, and a wireless access point 5, each of which is intelligently switched. 2 is connected to one or more powered devices 4, each smart switch 2 is connected to a smart meter 1, and each smart switch 2 and smart meter 1 are wirelessly connected to the terminal 3 via a wireless access point 5.
  • the terminal 3 is provided with the apparatus in the embodiment corresponding to FIGS. 3, 4, and 7.
  • the smart meter 1 and each of the smart switches 2 and the terminal 3 are provided with wireless communication modules, which can be connected to each other through a wireless network (for example, WIFI), so that the terminal 3 completes data exchange and control operations with each other.
  • WIFI wireless network
  • the consumer 4 can include all of the household appliances, such as televisions, telephones, laptops, printers, and fax machines.
  • FIG. 1 is a flowchart of a method for calculating a power consumption according to an exemplary embodiment. As shown in FIG. 1 , the method is applicable to using a smart meter to perform power consumption statistics on multiple power devices.
  • the switch is respectively connected to one or more of the plurality of powered devices, and each smart switch is connected to the smart meter.
  • the method is used in the terminal, and includes the following steps:
  • step 101 the readings of the smart meter and the state of the smart switch are sampled at set sampling interval intervals to obtain a plurality of sets of power parameters, and each set of power parameters includes a reading of the smart meter and a state of the smart switch.
  • step 102 the average power of each smart switch is determined based on some or all of the plurality of sets of power parameters.
  • step 103 the working duration of each smart switch within the set statistical time is determined.
  • the state of the smart switch includes an open state and a closed state, and respectively corresponds to an open state and a closed state of the powered device connected thereto.
  • it can be a smart switch to control a power device, such as a refrigerator, a water heater, etc., or a smart switch to control a plurality of power devices, for example, a mobile phone and a camera that rely on a rechargeable battery.
  • each smart switch or the intelligent switch to be counted can be switched multiple times, or can be always turned on.
  • the working time is smaller than the statistical time.
  • the working time is equal to the statistical time.
  • the statistical time can be set manually, for example, one week or one month.
  • step 104 the power consumption of each smart switch in the statistical time is determined according to the working duration of each smart switch and the average power of each smart switch.
  • Some beneficial effects of the present disclosure may include: sampling a plurality of sets of electrical parameters by using a set sampling interval, and determining an average power of each smart switch according to the electrical parameters, and then determining according to an average power and a working time of each smart switch.
  • the power consumption of each intelligent switch can automatically calculate the power consumption of one or more powered devices controlled by each intelligent switch by using a smart meter and multiple intelligent switches, which reduces the number of smart meters used and saves the number of smart meters. The cost also eliminates the trouble of manual reading and statistical analysis, making the smart home life more convenient.
  • FIG. 2 is a flow chart showing a method of power consumption statistics according to an exemplary embodiment. As shown in FIG. 2, the method is applicable to using a smart meter to perform power consumption statistics on a plurality of powered devices, and each smart switch is respectively connected to one or more of the plurality of powered devices, and each smart switch is Connected to a smart meter, this method is used in the terminal and includes the following steps:
  • step 201 the readings of the smart meter and the state of the smart switch are sampled at set sampling interval intervals to obtain a plurality of sets of power parameters, and each set of power parameters includes a reading of the smart meter and a state of the smart switch.
  • each set of electrical parameters may also include a sampling interval.
  • the sampling interval can be manually set, for example, 5s, 30s, 1 minute, and the like.
  • the sampling interval is not fixed. In this case, corresponding sampling intervals are required to be recorded. It is easy to understand that the shorter the sampling interval, the more data is sampled during the same processing time, and the more accurate the results are.
  • all the smart switches can be numbered, and then the readings of the smart meters in each group, the status of each smart switch and the sampling interval time are saved in a list.
  • step 201 it is necessary to intermittently sample the state of each intelligent switch except the special intelligent switch and the reading of the smart meter to obtain a plurality of sets of power parameters.
  • N smart switches when the state of N-1 smart switches changes simultaneously, the power consumption of the remaining one smart switch (ie, such a special smart switch) can also be determined. Alternatively, it can also be implemented by the method in the embodiment corresponding to FIG. 3.
  • step 202 among the plurality of sets of power parameters, at least two sets of first power parameters are selected, at least two sets of first power parameters are continuously sampled, and each of the first power parameters is The status has not changed.
  • step 203 determining, according to the reading of the smart meter in the first power consumption parameter, that the state in the first power parameter is The first overall average power of the open smart switch.
  • the first overall average power of the smart switch whose state is on in the first power parameter is determined according to the reading of the smart meter in the first power parameter, including but not limited to the following:
  • a first overall average power is determined based on a difference between the first reading and the second reading.
  • the first overall average power is a ratio of a difference between the first reading and the second reading to a duration of the total sampling time of the at least two sets of first electrical parameters.
  • At least two sets of data of the first electrical parameter sampling may be filtered before determining the difference between the first reading and the second reading, for example, the deviation is very Large one or more sets of data using electrical parameters.
  • step 204 among the plurality of sets of power parameters, at least two sets of second power parameters are selected, at least two sets of second power parameters are continuously sampled, and states of the respective smart switches in the second power parameters There is no change, and there is at least one difference between the state of the smart switch in the second power parameter and the state of the smart switch in the first power parameter.
  • the state of the smart switch in the selected second power parameter is different from the state of the smart switch in the first power parameter.
  • step 205 a second overall average power of the smart switch whose state is on in the second power parameter is determined according to the reading of the smart meter in the second power parameter.
  • the second overall average power of the smart switch whose state is on in the second power parameter is determined according to the reading of the smart meter in the second power parameter, including but not limited to the following:
  • the second overall average power is determined based on the absolute value of the difference between the third reading and the fourth reading.
  • the second overall average power is a ratio of the absolute value of the difference between the third reading and the fourth reading to the duration of the total sampling time of the at least two sets of second electrical parameters.
  • step 206 an average power of the smart switch whose state changes in the first power consumption parameter and the second power consumption parameter is determined according to the first overall average power and the second overall average power.
  • steps 202 and 204 there are multiple sets of power consumption parameters that satisfy the requirements in steps 202 and 204, that is, steps 202 and 204 may be repeated multiple times to obtain multiple first overall average powers. And a plurality of second overall average powers.
  • step 207 determining a state change in the first power consumption parameter and the second power consumption parameter according to the average values of the plurality of first overall average power and the plurality of second overall average powers The average power of the smart switch.
  • steps 202 to 206 provide a method for determining the average power of any one of the smart switches. In actual use, steps 202 to 206 may be repeated multiple times to obtain the average power of each smart switch.
  • step 207 the working duration of each smart switch within the set statistical time is determined.
  • determining the working duration of each smart switch in the set statistical time may include:
  • the smart switch When the open command is detected, the smart switch is turned on, and the timer corresponding to the opened smart switch is started to be timed, and the timer is set in one-to-one correspondence with the smart switch;
  • the smart switch When the shutdown command is detected, the smart switch is turned off, and the timer corresponding to the closed smart switch is controlled to stop timing;
  • each smart switch is correspondingly provided with a timer, which can be directly built in the smart switch or can be set in the terminal.
  • the detecting the opening command and the corresponding opening timer are performed before step 201, and the detecting the closing command and the corresponding closing timer are performed simultaneously with step 201.
  • step 208 the power consumption of each smart switch in the statistical time is determined according to the working duration of each smart switch and the average power of each smart switch.
  • the power consumption of each smart switch is the product of the average power of each smart switch and its working time.
  • steps 201-206 are continuously performed during the statistical time, that is, the statistics of the power consumption and the determination of the average power are performed simultaneously. It is easy to understand that when the average power of each intelligent switch has been determined, when the power consumption statistics are performed on this basis, it is only necessary to determine the working time of each smart switch within the statistical time.
  • Steps 202 to 208 are described below by way of example:
  • a smart meter A three smart switches S1, S2 and S3.
  • the three smart switches are connected to the TV, telephone and printer respectively.
  • the sampling interval is 30S.
  • the sampling power parameters are as follows: (1) A reading: 0.01, S1, S2, S3 The status is: open, open, open; (2) A reading: 0.02, the status of S1, S2, S3 is: open, open, open; (3) A reading: 0.03, the status of S1, S2, S3 is: open (4) A reading: 0.035, the status of S1, S2, S3 is: off, on, on; (5) A reading: 0.04, the status of S1, S2, S3 is: off, on, on (6) A reading: 0.05, the state of S1, S2, S3 is: open, open, open; (7) A reading: 0.055, the state of S1, S2, S3 is: open, close, open; (8) A reading: 0.06, S1, S2, S3 state: open, close, open; (9) A reading: 0.065, S1, S2, S3 state: open, open, closed; (10) A reading: 0.07 , the status of S1, S2, S3 is On, on, off.
  • step 202 To determine the power consumption of the smart switch S3 of the printer controlling the television as an example, in step 202, (1) and (2), (2) and (3), (1), ( 2) Combine with any of (3). If (1) and (2) are selected, then in step 203, the first overall average power in the 1 minute from 08:00 to 08:01 is obtained (0.02-0.01) / 1 min, in order to determine the smart switch S3. Second overall average power, in step In step 204, (9) and (10) should be selected, and the second overall average power is obtained at step 205 is (0.07-0.065) / 1 min. It should be noted that, in order to determine the second overall average power, directly in step 204 The required power parameters were selected.
  • the average power of the smart switch S3 can be obtained as 0.005/1 min.
  • the timer corresponding to the smart switch S3 reads 240 minutes per day
  • the power consumption of the smart switch S3 for one day is 240 min ⁇ 0.005 / 1 min, that is, 1.2 degrees.
  • Some beneficial effects of the present disclosure may include: sampling a plurality of sets of electrical parameters by using a set sampling interval, and determining an average power of each smart switch according to the electrical parameters, and then determining according to an average power and a working time of each smart switch.
  • the power consumption of each intelligent switch can automatically calculate the power consumption of one or more powered devices controlled by each intelligent switch by using a smart meter and multiple intelligent switches, which reduces the number of smart meters used and saves the number of smart meters. The cost also eliminates the trouble of manual reading and statistical analysis, making the smart home life more convenient.
  • the data is more accurate when the data is sufficient. .
  • FIG. 3 is a flow chart showing a method of power consumption statistics according to an exemplary embodiment. As shown in FIG. 3, the method is applicable to using a smart meter to perform power consumption statistics on a plurality of powered devices, and each smart switch is respectively connected to one or more of the plurality of powered devices, and each smart switch is Connected to a smart meter, this method is used in the terminal and includes the following steps:
  • step 301 the state of each smart switch is controlled to remain unchanged during the first sampling time, and the smart meter reading is sampled at the set sampling interval time interval to obtain a first reading.
  • each set of electrical parameters may also include a sampling interval.
  • a first overall average power of the on-state smart switch is determined based on the first reading and the first sampling time.
  • the first overall average power of the smart switch can be determined in the same manner as in step 203, and details are not described herein again.
  • step 303 the state of each smart switch is controlled to remain unchanged during the second sampling time, and the smart meter reading is sampled at the set sampling interval time interval to obtain a second reading, and the state of the smart switch is in the second sampling time. There is at least one difference from the state of the smart switch within the first sampling time.
  • the duration of the second sampling time is greater than the duration of the aforementioned sampling interval. That is, in the second sampling time, the power consumption parameter can be sampled at least twice with the set interval time.
  • the control command may be controlled by a switch, and the switch control command includes an open command and a close command to control the state of each smart switch.
  • the open command is used to turn on each smart switch
  • the close command is used to turn off each smart switch.
  • the state of the control smart switch is different from the state of the smart switch in the first sampling time.
  • step 304 a second overall average power of the on-state smart switch is determined based on the second reading and the second sampling time.
  • step 301 and step 302 may be repeated a plurality of times to obtain a plurality of first readings, second readings, and third readings, and correspondingly determining a plurality of first overall average powers and second overall average powers to improve The accuracy of the results.
  • step 305 the average power of the smart switch whose state changes during the second sampling time and the first sampling time is determined according to the first overall average power and the second overall average power.
  • Steps 301 to 305 above are used to determine the average power of any one of the smart switches. In actual use, steps 301 to 305 may be repeated multiple times to obtain the average power of each smart switch.
  • Steps 301 to 305 will be described below by taking an example in the embodiment corresponding to FIG. 2 as an example.
  • step 301 the states of the intelligent switches S1, S2, and S3 are all turned on during the time range of 08:00 to 08:01, and are sampled twice at the sampling interval of 30 seconds, and the smart meter A is read.
  • the first reading, determining the first overall average power in step 302 is the same as the foregoing step 203, and in step 303, controlling the states of the smart switches S1, S2, and S3 in the time period of 08:02 to 08:04, respectively, On and off.
  • the determination of the second overall average power and the average power in steps 304 and 305 is the same as the aforementioned steps 205 and 206.
  • step 306 the working time of each smart switch within the set statistical time is determined.
  • step 307 the power consumption of each smart switch in the statistical time is determined according to the working duration of each smart switch and the average power of each smart switch.
  • Steps 306 and 307 are the same as steps 207 and 208 described above, and are not described herein again.
  • the determination of the average power of each smart switch is performed before the statistical power consumption is calculated.
  • Some beneficial effects of the present disclosure may include: sampling a plurality of sets of electrical parameters by using a set sampling interval, and determining an average power of each smart switch according to the electrical parameters, and then determining according to an average power and a working time of each smart switch.
  • the power consumption of each intelligent switch can automatically calculate the power consumption of one or more powered devices controlled by each intelligent switch by using a smart meter and multiple intelligent switches, which reduces the number of smart meters used and saves the number of smart meters. The cost also eliminates the trouble of manual reading and statistical analysis, making the smart home life more convenient.
  • the direct control of each intelligent switch state to obtain the required power consumption parameters, thereby determining the average power of each intelligent switch and the power consumption of the controlled electrical equipment is simple in operation and high in efficiency.
  • FIG. 4 is a block diagram of a power usage statistics device, according to an exemplary embodiment.
  • the apparatus includes a sampling module 41, a power determining module 42, a duration determining module 43, and a power determining module 44.
  • the sampling module 41 is configured to sample the readings of the smart meter and the state of the smart switch at a set sampling interval, to obtain a plurality of sets of electrical parameters, each set of electrical parameters including the reading of the smart meter and the state of the smart switch .
  • the power determination module 42 is configured to determine an average power of each of the smart switches based on some or all of the plurality of sets of electrical parameters.
  • the duration determining module 43 is configured to determine when each smart switch is operating within a set statistical time long.
  • the power determining module 44 is configured to determine the power consumption of each smart switch in a statistical time according to the working duration of each smart switch and the average power of each smart switch.
  • Some beneficial effects of the present disclosure may include determining the average power of any one of the smart switches by taking the reading of the smart meter and the state of all the smart switches, and then determining the power consumption of any one of the smart switches based on the average power, using a smart meter and A plurality of intelligent switches are used to count the power consumption of the devices controlled by the various smart switches, which reduces the number of power meters used, and also eliminates the trouble of manual statistics and analysis, and brings convenience to the home life.
  • FIG. 5 is a block diagram of a power usage statistics device, according to an exemplary embodiment.
  • the apparatus includes a sampling module 51, a power determining module 52, a duration determining module 53, and a power determining module 54.
  • the sampling module 51 is configured to sample the readings of the smart meter and the state of the smart switch at a set sampling interval, to obtain a plurality of sets of electrical parameters, each set of electrical parameters including the reading of the smart meter and the state of the smart switch .
  • the power determination module 52 is configured to determine an average power of each of the smart switches based on some or all of the plurality of sets of electrical parameters.
  • the duration determination module 53 is configured to determine the duration of operation of each smart switch within a set statistical time.
  • the power determining module 54 is configured to determine the power consumption of each smart switch in a statistical time according to the working duration of each smart switch and the average power of each smart switch.
  • the power determining module 52 may include: a first selecting unit 521, a first determining unit 522, a second selecting unit 523, a second determining unit 524, and a third determining unit 525.
  • the first selecting unit 521 is configured to select at least two sets of first power parameters among the plurality of sets of power parameters, at least two sets of first power parameters are continuously sampled, and the second power parameters are The status of each smart switch has not changed;
  • the first determining unit 522 is configured to determine, according to the reading of the smart meter in the first power parameter, a first overall average power of the smart switch whose state is on in the first power parameter;
  • the second selecting unit 523 is configured to select at least two sets of second power parameters among the plurality of sets of power parameters, at least two sets of second power parameters are continuously sampled, and the second power parameters are The state of each of the smart switches does not change, and there is at least one difference between the state of the smart switch in the second power parameter and the state of the smart switch in the first power parameter;
  • the second determining unit 524 is configured to determine a second overall average power of the smart switch whose state is on in the second power parameter according to the reading of the smart meter in the second power parameter.
  • the third determining unit 525 is configured to determine an average power of the smart switch whose state changes in the first power consumption parameter and the second power consumption parameter according to the first overall average power and the second overall average power.
  • the sampling module 51 can include: a first control unit 511 and a second control unit 512.
  • the first control unit 511 is configured to control the state of each smart switch to remain unchanged during the first sampling time, and sample the smart meter reading at the set sampling interval time interval to obtain a first reading;
  • the second control unit 512 is configured to control the state of each smart switch to remain unchanged during the second sampling time, sample the smart meter reading at the set sampling interval time interval, and obtain a second reading at the second sampling time.
  • the state of the smart switch is different from the state of the smart switch in the first sampling time;
  • the first determining unit 522 is further configured to determine a first overall average power of the smart switch in an on state according to the first reading and the first sampling time;
  • the second determining unit 524 is further configured to determine a second overall average power of the smart switch in an open state according to the second reading and the second sampling time;
  • the third determining unit 525 is further configured to determine, according to the first overall average power and the second overall average power, an average power of the smart switch whose state changes during the second sampling time and the first sampling time.
  • the duration determining module 53 includes a receiving unit 531, a control unit 532, a detecting unit 533, an opening unit 534, a closing unit 535, and a processing unit 536.
  • the receiving unit 531 is configured to receive a switch control instruction, where the switch control instruction includes an open command and a close command;
  • the control unit 532 is configured to control states of the respective smart switches according to the switch control instructions
  • the detecting unit 533 is configured to detect whether there is an open command for turning on each smart switch.
  • the opening unit 534 is configured to: when the opening command is detected, turn on the smart switch, and control a timer corresponding to the opened smart switch to start timing, and the timer is set in one-to-one correspondence with the smart switch;
  • the detecting unit 533 is further configured to detect whether there is a closing instruction, and the closing instruction is used to close each smart switch;
  • the closing unit 535 is configured to close the smart switch when the closing command is detected, and control the timer corresponding to the closed smart switch to stop timing;
  • the processing unit 536 is configured to detect whether the end time of the statistical time is reached. When the end time of the statistical time is reached, the reading of the timer is read, and the working time of each smart switch is determined according to the reading of the timer.
  • Some beneficial effects of the present disclosure may include determining the average power of any one of the smart switches by taking the reading of the smart meter and the state of all the smart switches, and then determining the power consumption of any one of the smart switches based on the average power, using a smart meter and A plurality of intelligent switches are used to count the power consumption of the devices controlled by the various smart switches, which reduces the number of power meters used, and also eliminates the trouble of manual statistics and analysis, and brings convenience to the home life.
  • FIG. 6 is a block diagram of a power usage statistics system, according to an exemplary embodiment.
  • the system includes: a smart meter 1, a plurality of smart switches 2, and a terminal 3, each of which is connected to one or more powered devices 4, each of which is connected to the smart meter 1
  • Each of the smart switch 2 and the smart meter 1 is wirelessly connected to the terminal 3, and the terminal 3 is provided with the apparatus in the embodiment corresponding to FIGS. 4 and 5.
  • the smart meter and all the intelligent switches and terminals have wireless communication modules, which can pass through the wireless network.
  • Roads (such as WIFI) are connected to each other.
  • the consumer device 4 can include all of the home appliances, such as televisions, telephones, fax machines, and notebook computers.
  • Some beneficial effects of the present disclosure may include: determining, by the terminal, the reading of the smart meter and the state of all the smart switches to determine the average power of any one of the smart switches, and determining, by the terminal, the power consumption of any one of the smart switches according to the average power, using an intelligent The meter and a plurality of intelligent switches are used to count the power consumption of the devices controlled by the various smart switches, which reduces the number of power meters used, and also eliminates the trouble of manual statistics and analysis, and brings convenience to the home life.
  • FIG. 7 is a block diagram of an apparatus 800 for counting power usage, according to an exemplary embodiment.
  • device 800 can be a computer, tablet device, personal digital assistant, or the like.
  • device 800 can include one or more of the following components: processing component 802, memory 804, power component 806, input/output (I/O) interface 812, sensor component 814, and communication component 816.
  • processing component 802 memory 804, power component 806, input/output (I/O) interface 812, sensor component 814, and communication component 816.
  • memory 804 memory 804, power component 806, input/output (I/O) interface 812, sensor component 814, and communication component 816.
  • I/O input/output
  • Processing component 802 typically controls the overall operation of device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • Processing component 802 can include one or more processors 820 to execute instructions to perform all or part of the steps of the above described methods.
  • processing component 802 can include one or more modules to facilitate interaction between component 802 and other components.
  • processing component 802 can include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operation at device 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phone book data, messages, pictures, videos, and the like.
  • the memory 804 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read only memory
  • EPROM Electrically erasable programmable read only memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Disk Disk or Optical Disk.
  • Power component 806 provides power to various components of device 800.
  • Power component 806 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 800.
  • the multimedia component 808 includes a screen between the device 800 and the user that provides an output interface.
  • the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor may sense not only the boundary of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation.
  • the multimedia component 808 includes a front camera and/or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 810 is configured to output and/or input an audio signal.
  • the audio component 810 includes a microphone (MIC) that is configured to receive an external audio signal when the device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode.
  • the received audio signal may be further stored in memory 804 or transmitted via communication component 816.
  • the audio component 810 also includes a speaker for outputting an audio message. number.
  • the I/O interface 812 provides an interface between the processing component 802 and the peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.
  • Sensor assembly 814 includes one or more sensors for providing device 800 with a status assessment of various aspects.
  • sensor assembly 814 can detect an open/closed state of device 800, a relative positioning of components, such as the display and keypad of device 800, and sensor component 814 can also detect a change in position of one component of device 800 or device 800. The presence or absence of user contact with device 800, device 800 orientation or acceleration/deceleration, and temperature variation of device 800.
  • Sensor assembly 814 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor assembly 814 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 816 is configured to facilitate wired or wireless communication between device 800 and other devices.
  • the device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel.
  • the communication component 816 also includes a near field communication (NFC) module to facilitate short range communication.
  • NFC near field communication
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • device 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic component implementation for performing the above methods.
  • non-transitory computer readable storage medium comprising instructions, such as a memory 804 comprising instructions executable by processor 820 of apparatus 800 to perform the above method.
  • the non-transitory computer readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

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Abstract

公开了一种用电量统计方法、装置和系统，其属于智能家居领域。该用电量统计方法包括：以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组用电参数包括智能电表的读数和智能开关的状态；根据用电参数中的部分或全部确定各个智能开关的平均功率；确定各个智能开关在设定的统计时间内的工作时长；根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关的在统计时间内的用电量。通过采用一个智能电表和多个智能开关可自动完成统计各个智能开关控制的一个或多个用电设备的用电量，既减少了智能电表的使用数量，节约了成本，又省去了人工读数和统计分析的麻烦。

Description

用电量统计方法、装置和系统
本申请基于申请号为201410238910.3、申请日为2014/5/30的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本申请作为参考。
技术领域
本公开涉及智能家居领域，尤其涉及一种用电量统计方法、装置和系统。
背景技术
在智能家居系统中，通常需要控制中心对各个连接设备进行控制和查询。为此，控制中心和所有的连接设备都必须时时保持通电状态。在智能家居系统中，对所有的连接设备分别进行用电量的统计和分析，以便时时了解各个连接设备的耗电情况是十分必要的。
相关技术中，带电表的开关可以用于统计由该开关控制的设备的用电量。在智能家居系统中，可以在每个连接设备均使用这种带电表的开关来监测每个连接设备的用电量，然后由用户读取各个电表的示数，进而统计和分析各个连接设备的耗电情况。
但是，在上述方式中，连接设备与带电表的开关的个数是相对应的，即统计N个连接设备就需要安装N个带电表的开关即需要N个电表，使用的电表的数量比较多，造成一定的浪费，且需要人工读取各个电表的读数后作相应的统计，不仅耗费用户的精力，操作也比较麻烦。
发明内容
为克服相关技术中存在的问题，本发明公开提供一种用电量统计方法、装置和系统。
根据本公开实施例的第一方面，提供一种用电量统计方法，适用于采用一个智能电表对多个用电设备进行用电量统计，各个所述智能开关分别与所述多个用电设备中的一个或多个连接，且每个所述智能开关均与所述智能电表连接，所述方法包括：
以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
确定各个所述智能开关在设定的统计时间内的工作时长；
根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
可选地，所述根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率，包括：
在所述多组用电参数中，选取至少两组第一用电参数，所述至少两组第一用电参数是连续采样得到的，并且所述第一用电参数中的各个所述智能开关的状态未发生变化；
根据所述第一用电参数中的所述智能电表的读数，确定所述第一用电参数中状态为开启的所述智能开关的第一整体平均功率；
在所述多组用电参数中，选取至少两组第二用电参数，所述至少两组第二用电参数是连续采样得到的，并且所述第二用电参数中的各个所述智能开关的状态未发生变化，且所述第二用电参数中的所述智能开关的状态与所述第一用电参数中的所述智能开关的状态存在至少一个不同；
根据所述第二用电参数中的所述智能电表的读数，确定所述第二用电参数中状态为开启的所述智能开关的第二整体平均功率；
根据所述第一整体平均功率和所述第二整体平均功率，确定所述第一用电参数和所述第二用电参数中，状态发生变化的所述智能开关的平均功率。
可选地，所述以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，包括：
控制各个所述智能开关的状态在第一采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第一读数；
控制各个所述智能开关的状态在第二采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第二读数，在所述第二采样时间内，所述智能开关的状态与所述第一采样时间内的所述智能开关的状态存在至少一个不同。
可选地，所述根据所述用电参数中的部分或全部确定各个所述智能开关的平均功率，包括：
根据所述第一读数和所述第一采样时间，确定开启状态的所述智能开关的第一整体平均功率；
根据所述第二读数和所述第二采样时间，确定开启状态的所述智能开关的第二整体平均功率；
根据所述第一整体平均功率和所述第二整体平均功率，确定所述第二采样时间内与所述第一采样时间内，状态发生变化的所述智能开关的平均功率。
可选地，所述确定各个所述智能开关在设定的统计时间内的工作时长，包括：
检测是否有开启指令，所述开启指令用于开启各个所述智能开关；
在检测到所述开启指令时，开启所述智能开关，并控制与开启的所述智能开关对应的计时器开始计时，所述计时器与所述智能开关一一对应设置；
检测是否有关闭指令，所述关闭指令用于关闭各个所述智能开关；
在检测到所述关闭指令时，关闭所述智能开关，并控制与关闭的所述智能开关对应的所述计时器停止计时；
检测是否到达所述统计时间的结束时刻，当到达所述统计时间的结束时刻时，读取所述计时器的读数，根据所述计时器的读数确定各个所述智能开关的工作时长。
根据本公开实施例的第二方面，提供一种用电量统计装置，所述装置包括：
采样模块，用于以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
功率确定模块，用于根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
时长确定模块，用于确定各个所述智能开关在设定的统计时间内的工作时长；
电量确定模块，用于根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
进一步地，所述功率确定模块，包括：
第一选取单元，用于在所述多组用电参数中，选取至少两组第一用电参数，所述至少两组第一用电参数是连续采样得到的，并且所述第一用电参数中的各个所述智能开关的状态未发生变化；
第一确定单元，用于根据所述第一用电参数中的所述智能电表的读数，确定所述第一用电参数中状态为开启的所述智能开关的第一整体平均功率；
第二选取单元，用于在所述多组用电参数中，选取至少两组第二用电参数，所述至少两组第二用电参数是连续采样得到的，并且所述第二用电参数中的各个所述智能开关的状态未发生变化，且所述第二用电参数中的所述智能开关的状态与所述第一用电参数中的所述智能开关的状态存在至少一个不同；
第二确定单元，用于根据所述第二用电参数中的所述智能电表的读数，确定所述第二用电参数中状态为开启的所述智能开关的第二整体平均功率；
第三确定单元，用于根据所述第一整体平均功率和所述第二整体平均功率，确定所述第一用电参数和所述第二用电参数中，状态发生变化的所述智能开关的平均功率。
可选地，所述采样模块，包括：
第一控制单元，用于控制各个所述智能开关的状态在第一采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第一读数；
第二控制单元，用于控制各个所述智能开关的状态在第二采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第二读数，在所述第二采样时间内，所述智能开关的状态与所述第一采样时间内的所述智能开关的状态存在至少一个不同。
进一步地，所述第一确定单元还用于根据所述第一读数和所述第一采样时间，确定开启状态的所述智能开关的第一整体平均功率；
所述第二确定单元还用于根据所述第二读数和所述第二采样时间，确定开启状态的所述智能开关的第二整体平均功率；
所述第三确定单元还用于根据所述第一整体平均功率和所述第二整体平均功率，确定所述第二采样时间内与所述第一采样时间内，状态发生变化的所述智能开关的平均功率。
可选地，所述时长确定模块，包括：
检测单元，用于检测是否有开启指令，所述开启指令用于开启各个所述智能开关；
开启单元，用于在检测到所述开启指令时，开启所述智能开关，并控制与开启的所述智能开关对应的计时器开始计时，所述计时器与所述智能开关一一对应设置；
所述检测单元还用于检测是否有关闭指令，所述关闭指令用于关闭各个所述智能开关；
关闭单元，用于在检测到所述关闭指令时，关闭所述智能开关，并控制与关闭的所述智能开关对应的所述计时器停止计时；
处理单元，用于检测是否到达所述统计时间的结束时刻，当到达所述统计时间的结束时刻时，读取所述计时器的读数，根据所述计时器的读数确定各个所述智能开关的工作时长。
根据本公开实施例的第三方面，提供一种用电量统计装置，所述装置包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为：
以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
确定各个所述智能开关在设定的统计时间内的工作时长；
根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
根据本公开实施例的第四方面，提供一种用电量统计系统，所述系统包括：
一个智能电表、多个智能开关和一个终端，每个所述智能开关与一个或多个用电设备连接，每个所述智能开关均与所述智能电表连接，每个所述智能开关和所述智能电表均与所述终端无线连接，所述终端内设有如本公开实施例的第二方面和第三方面所述的装置。
本公开的实施例提供的技术方案可以包括以下有益效果：
通过采用设定的采样间隔时间间隔采样多组用电参数，并根据用电参数确定各个智能开关的平均功率，再根据各个智能开关的平均功率和工作时长确定各个智能开关的用电量，采用一个智能电表和多个智能开关即可以自动完成统计各个智能开关控制的一个或多个用电设备的用电量，既减少了智能电表的使用数量，节约了成本，又省去了人工读数和统计分析的麻烦，使智能家居生活更加的便利。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本发明的实施例，并与说明书一起用于解释本发明的原理。
图1a是本公开实施例示出的应用场景的框图。
图1是根据一示例性实施例示出的一种用电量统计方法的流程图。
图2是根据一示例性实施例示出的一种用电量统计方法的流程图。
图3是根据一示例性实施例示出的一种用电量统计方法的流程图。
图4是根据一示例性实施例示出的一种用电量统计装置的框图。
图5是根据一示例性实施例示出的一种用电量统计装置的框图。
图6是根据一示例性实施例示出的一种用电量统计系统的框图。
图7是根据一示例性实施例示出的一种装置的框图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。
为了更好地说明本公开实施例，下面首先结合图1a说明本公开的应用场景，该系统包括：一个智能电表1、多个智能开关2、一个终端3以及无线访问点5，每个智能开关2与一个或多个用电设备4连接，每个智能开关2均与智能电表1连接，每个智能开关2和智能电表1均与终端3通过无线访问点5无线连接。
其中，终端3中设有与图3、图4和图7对应的实施例中的装置。智能电表1和各个智能开关2以及终端3均设有无线通信模块，它们可以通过无线网路(例如WIFI)相互连接，以使终端3完成相互之间的数据交换和控制操作等。
用电设备4可以包括所有的家用电器，例如，电视、电话、笔记本电脑、打印机和传真机等。
图1是根据一示例性实施例示出的一种用电量统计方法的流程图，如图1所示，该方法适用于采用一个智能电表对多个用电设备进行用电量统计，各个智能开关分别与多个用电设备中的一个或多个连接，且每个智能开关均与智能电表连接，该方法用于终端中，包括以下步骤：
在步骤101中，以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组用电参数包括智能电表的读数和智能开关的状态。
在步骤102中，根据多组用电参数中的部分或全部确定各个智能开关的平均功率。
在步骤103中，确定各个智能开关在设定的统计时间内的工作时长。
其中，智能开关的状态包括开启状态和关闭状态，并分别对应与其相连的用电设备的开启状态和关闭状态。实现时，可以是一个智能开关控制一台用电设备，例如冰箱、热水器等，也可以一个智能开关控制多个用电设备，例如，依靠充电电池工作的手机和相机等。
在工作时长内各个智能开关的状态为开启状态，工作时长小于或等于用电量的统计时 间。容易理解地，在用电量的统计时间内，各个智能开关或者待统计的智能开关可以开关多次，也可以一直为开启状态。在统计时间内，待统计的智能开关可以开关多次时，其工作时长小于统计时间；在统计时间内，待统计的智能开关一直为开启状态时，其工作时长等于统计时间。实现时，统计时间可以人为设定，例如，一周或者一个月等。
在步骤104中，根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关在统计时间内的用电量。
本公开的一些有益效果可以包括：通过采用设定的采样间隔时间间隔采样多组用电参数，并根据用电参数确定各个智能开关的平均功率，再根据各个智能开关的平均功率和工作时长确定各个智能开关的用电量，采用一个智能电表和多个智能开关即可以自动完成统计各个智能开关控制的一个或多个用电设备的用电量，既减少了智能电表的使用数量，节约了成本，又省去了人工读数和统计分析的麻烦，使智能家居生活更加的便利。
图2是根据一示例性实施例示出的一种用电量统计方法的流程图。如图2所示，该方法适用于采用一个智能电表对多个用电设备进行用电量统计，各个智能开关分别与多个用电设备中的一个或多个连接，且每个智能开关均与智能电表连接，该方法用于终端中，包括以下步骤：
在步骤201中，以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组用电参数包括智能电表的读数和智能开关的状态。
在本实施例中，每组用电参数还可以包括采样间隔时间。其中，采样间隔时间可以人为设定，例如5s、30s、1分钟等。
在其他实现方式中，也采用采样间隔时间不固定的方式，此时，需要对应的记录各个采样间隔时间。容易理解地，采样间隔时间越短，在同样的处理时间内，采样的得到的数据就越多，得到的结果也越准确。
实现时，可以将所有的智能开关进行编号，然后采用列表的形式保存各组中的智能电表的读数、各个智能开关的状态和采样间隔时间。
在实际应用中，由于用户的使用习惯或者用电设备本身的原因等，可能会存在一种情况，即并非所有的用电设备的状态在使用过程均会发生变化，例如，冰箱等，其一旦开启在很长一段时间(比如3年以上)内都将不会关闭，针对这种情况，可以将控制这类用电设备的智能开关归为特殊的一类。此时，在步骤201中，需要间隔采样除了这类特殊的智能开关外的各个智能开关的状态和智能电表的读数得到多组用电参数。容易理解地，对于N个智能开关，在其中的N-1个智能开关的状态同时改变时，剩余的一个智能开关(即这类特殊的智能开关)的用电量也可以确定。或者，也可以采用图3对应的实施例中的方法实现。
在步骤202中，在多组用电参数中，选取至少两组第一用电参数，至少两组第一用电参数是连续采样得到的，并且第一用电参数中的各个所述智能开关的状态未发生变化。
在步骤203中，根据第一用电参数中的智能电表的读数，确定第一用电参数中状态为 开启的智能开关的第一整体平均功率。
实现时，根据第一用电参数中的智能电表的读数，确定第一用电参数中状态为开启的智能开关的第一整体平均功率，包括但不限于如下方式：
确定至少两组第一次采样得到的智能电表的第一读数和最后一次采样得到的智能电表的第二读数的差值；
根据第一读数和第二读数的差值，确定第一整体平均功率。其中，第一整体平均功率为第一读数和第二读数的差值与至少两组第一用电参数总采样时间的的时长的比值。
为了更好的保证结果的准确性，在实际应用中，在确定第一读数和第二读数的差值之前，可以对至少两组第一用电参数采样的数据进行筛选，例如，去掉偏差很大的一组或多组用电参数的数据。
在步骤204中，在多组用电参数中，选取至少两组第二用电参数，至少两组第二用电参数是连续采样得到的，并且第二用电参数中的各个智能开关的状态未发生变化，且第二用电参数中的智能开关的状态与第一用电参数中的智能开关的状态存在至少一个不同。
较佳的实现方式是，选取的第二用电参数中的智能开关的状态与第一用电参数中的智能开关的状态存在一个不同。
在步骤205中，根据第二用电参数中的智能电表的读数，确定第二用电参数中状态为开启的智能开关的第二整体平均功率。
实现时，根据第二用电参数中的智能电表的读数，确定第二用电参数中状态为开启的智能开关的第二整体平均功率，包括但不限于如下方式：
确定第二时间段内第一次采样得到的智能电表的第三读数和最后一次采样得到的智能电表的第四读数的差值的绝对值；
根据第三读数和第四读数的差值的绝对值，确定第二整体平均功率。其中，第二整体平均功率为第三读数和第四读数的差值的绝对值与至少两组第二用电参数总采样时间的时长的比值。
在步骤206中，根据第一整体平均功率和第二整体平均功率，确定第一用电参数和第二用电参数中，状态发生变化的智能开关的平均功率。
在采样数据量足够多的情况下，步骤202和步骤204中均有多组满足要求的用电参数可以选取，也即可以多次重复步骤202和步骤204，以得到多个第一整体平均功率和多个第二整体平均功率，在步骤207中，根据多个第一整体平均功率和多个第二整体平均功率的平均值确定第一用电参数和第二用电参数中，状态发生变化的智能开关的平均功率。
上述步骤202～步骤206给出了任意一个智能开关的平均功率的确定方法，在实际使用中，可以多次重复步骤202～步骤206，以得到各个智能开关的平均功率。
在步骤207中，确定各个智能开关在设定的统计时间内的工作时长。
在本实施例中，确定各个智能开关在设定的统计时间内的工作时长，可以包括：
检测是否有开启指令，该开启指令用于开启各个智能开关；
在检测到开启指令时，开启智能开关，并控制与开启的智能开关对应的计时器开始计时，计时器与智能开关一一对应设置；
检测是否有关闭指令，该关闭指令用于关闭各个智能开关；
在检测到关闭指令时，关闭智能开关，并控制与关闭的智能开关对应的计时器停止计时；
检测是否到达统计时间的结束时刻，当到达统计时间的结束时刻时，读取计时器的读数，根据计时器的读数确定各个智能开关的工作时长。
容易理解地，实现时，每个智能开关均对应的设有一个计时器，该计时器可以直接内置在智能开关中，也可以设置在终端中。
在本实施例中，检测开启指令和对应的开启计时器是在步骤201之前进行的，而检测关闭指令和对应的关闭计时器是与步骤201同时进行的。
在步骤208中，根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关的在统计时间内的用电量。
其中，各个智能开关的用电量为各个智能开关的平均功率与其工作时长的乘积。
在实际应用中，当需要了解指定用电设备的用电量时，确定控制该用电设备的智能开关在统计时间内的工作时长和其平均功率即可，使用非常方便。
在本实施例中，在第一次确定各个智能开关的平均功率时，步骤201～206在统计时间内一直不断地被执行，即用电量的统计与平均功率的确定是同时进行的。容易理解地，当各个智能开关的平均功率均已被确定之后，在此基础上进行用电量统计时，只需要在统计时间内确定各个智能开关的工作时长即可。
下面举例对步骤202～步骤208进行说明：
假设现有一个智能电表A、三个智能开关S1、S2和S3，三个智能开关分别与电视、电话和打印机相连，为了统计一天内，电视、电话和打印机的用电量，从08:00开始采样，同时控制分别与智能开关S1、S2和S3相连的各个计时器开始工作，采样间隔时间为30S，采样得到的用电参数如下：(1)A读数：0.01，S1、S2、S3的状态为：开、开、开；(2)A读数：0.02，S1、S2、S3的状态为：开、开、开；(3)A读数：0.03，S1、S2、S3的状态为：开、开、开；(4)A读数：0.035，S1、S2、S3的状态为：关、开、开；(5)A读数：0.04，S1、S2、S3的状态为：关、开、开；(6)A读数：0.05，S1、S2、S3的状态为：开、开、开；(7)A读数：0.055，S1、S2、S3的状态为：开、关、开；(8)A读数：0.06，S1、S2、S3的状态为：开、关、开；(9)A读数：0.065，S1、S2、S3的状态为：开、开、关；(10)A读数：0.07，S1、S2、S3的状态为：开、开、关。
以确定控制电视的打印机的智能开关S3的一天的用电量为例进行详细的说明，在步骤202中可以选取(1)和(2)，(2)和(3)，(1)、(2)和(3)中的任意一个组合。假如选取了(1)和(2)则在步骤203中，可以得到在08:00～08:01这1分钟内的第一整体平均功率为(0.02-0.01)/1min，为了确定智能开关S3的第二整体平均功率，在步 骤204中，应该选取(9)和(10)，在步骤205得到第二整体平均功率为(0.07-0.065)/1min，需要说明的是，这里为了确定第二整体平均功率，在步骤204直接选择了需要的用电参数。在步骤206中，可以得到智能开关S3的平均功率为0.005/1min。这里再假设与智能开关S3对应的计时器一天的读数为240min，则智能开关S3的一天的用电量为240min×0.005/1min，即1.2度。
本公开的一些有益效果可以包括：通过采用设定的采样间隔时间间隔采样多组用电参数，并根据用电参数确定各个智能开关的平均功率，再根据各个智能开关的平均功率和工作时长确定各个智能开关的用电量，采用一个智能电表和多个智能开关即可以自动完成统计各个智能开关控制的一个或多个用电设备的用电量，既减少了智能电表的使用数量，节约了成本，又省去了人工读数和统计分析的麻烦，使智能家居生活更加的便利。另外，通过预先采样多组用电参数再选取有用的数据来确定各个智能开关的平均功率和其控制的用电设备的用电量的方式，在数据很充足的情况下，得到的结果比较准确。
图3是根据一示例性实施例示出的一种用电量统计方法的流程图。如图3所示，该方法适用于采用一个智能电表对多个用电设备进行用电量统计，各个智能开关分别与多个用电设备中的一个或多个连接，且每个智能开关均与智能电表连接，该方法用于终端中，包括以下步骤：
在步骤301中，控制各个智能开关的状态在第一采样时间内保持不变，以设定的采样间隔时间间隔采样智能电表读数，得到第一读数。
其中，第一采样时间的时长大于前述采样间隔时间的时长，即在第一采样时间内，可以完成至少两次以设定的采用间隔时间采样用电参数。容易理解地，在本实施例中，每组用电参数还可以包括采样间隔时间。
在步骤302中，根据第一读数和第一采样时间，确定开启状态的智能开关的第一整体平均功率。
实现时，可以采用与步骤203中相同的方式，确定智能开关的第一整体平均功率，这里不再赘述。
在步骤303中，控制各个智能开关的状态在第二采样时间内保持不变，以设定的采样间隔时间间隔采样智能电表读数，得到第二读数，在第二采样时间内，智能开关的状态与第一采样时间内的智能开关的状态存在至少一个不同。
第二采样时间的时长大于前述采样间隔时间的时长。即在第二采样时间内，可以完成至少两次以设定的采用间隔时间采样用电参数。
实现时，在步骤301与步骤303中，可以通过开关控制指令，该开关控制指令包括开启指令和关闭指令，控制各个智能开关的状态。其中，开启指令用于开启各个智能开关，关闭指令用于关闭各个智能开关。
较佳的实现方式是，在第二采样时间内，控制智能开关的状态与第一采样时间内的智能开关的状态存在一个不同。
在步骤304中，根据第二读数和第二采样时间，确定开启状态的智能开关的第二整体平均功率。
容易理解地，可以多次重复步骤301和步骤302，以得到多个第一读数、第二读数和第三读数，对应的确定得到多个第一整体平均功率与第二整体平均功率，以提高结果的准确性。
在步骤305中，根据第一整体平均功率和第二整体平均功率，确定第二采样时间内与第一采样时间内，状态发生变化的智能开关的平均功率。
上述步骤301～步骤305给出了任意一个智能开关的平均功率的确定方法，在实际使用中，可以多次重复步骤301～步骤305，以得到各个智能开关的平均功率。
下面以图2对应的实施例中的举例为例，对步骤301～305进行说明。
在步骤301中，控制智能开关S1、S2和S3在08:00～08:01时间段内的状态均为开启状态，同时，以30S的采样间隔时间采样两次，并读取智能电表A的第一读数，在步骤302中的确定第一整体平均功率同前述步骤203，在步骤303中，控制智能开关S1、S2和S3在08:02～08:04时间段内的状态分别为开、开和关。在步骤304和305中的确定第二整体平均功率以及平均功率同前述步骤205和步骤206。
在步骤306中，确定各个智能开关在设定的统计时间内的工作时长。
在步骤307中，根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关的在统计时间内的用电量。
步骤306和307与前述步骤207和208相同，这里不再赘述。
需要说明的是，在本实施例中，各个智能开关的平均功率的确定是在统计用电量之前完成的。
本公开的一些有益效果可以包括：通过采用设定的采样间隔时间间隔采样多组用电参数，并根据用电参数确定各个智能开关的平均功率，再根据各个智能开关的平均功率和工作时长确定各个智能开关的用电量，采用一个智能电表和多个智能开关即可以自动完成统计各个智能开关控制的一个或多个用电设备的用电量，既减少了智能电表的使用数量，节约了成本，又省去了人工读数和统计分析的麻烦，使智能家居生活更加的便利。另外，采用直接控制各个智能开关状态以获取所需要的用电参数，进而确定各个智能开关的平均功率和其控制的用电设备的用电量的方式，操作简单，实现效率高。
图4是根据一示例性实施例示出的一种用电量统计装置的框图。参照图4，该装置包括采样模块41，功率确定模块42、时长确定模块43和电量确定模块44。
该采样模块41被配置为用于以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组用电参数包括智能电表的读数和智能开关的状态。
该功率确定模块42被配置为用于根据多组用电参数中的部分或全部确定各个智能开关的平均功率。
该时长确定模块43被配置为用于确定各个智能开关在设定的统计时间内的工作时 长。
该电量确定模块44被配置为用于根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关的在统计时间内的用电量。
本公开的一些有益效果可以包括：通过获取智能电表的读数和所有智能开关的状态确定任一个智能开关的平均功率，然后根据平均功率确定任意一个智能开关上的用电量，采用一个智能电表和多个智能开关来统计各个智能开关控制的设备的用电量，减少了电能表的使用个数，也省去了人工统计和分析的麻烦，给家居生活带来了便利。
图5是根据一示例性实施例示出的一种用电量统计装置的框图。参照图5，该装置包括采样模块51，功率确定模块52、时长确定模块53和电量确定模块54。
该采样模块51被配置为用于以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组用电参数包括智能电表的读数和智能开关的状态。
该功率确定模块52被配置为用于根据多组用电参数中的部分或全部确定各个智能开关的平均功率。
该时长确定模块53被配置为用于确定各个智能开关在设定的统计时间内的工作时长。
该电量确定模块54被配置为用于根据各个智能开关的工作时长和各个智能开关的平均功率，确定各个智能开关的在统计时间内的用电量。
在一种实现方式中，功率确定模块52可以包括：第一选取单元521、第一确定单元522、第二选取单元523、第二确定单元524和第三确定单元525。
该第一选取单元521被配置为用于在多组用电参数中，选取至少两组第一用电参数，至少两组第一用电参数是连续采样得到的，并且第二用电参数中的各个智能开关的状态未发生变化；
该第一确定单元522被配置为用于根据第一用电参数中的智能电表的读数，确定第一用电参数中状态为开启的智能开关的第一整体平均功率；
该第二选取单元523被配置为用于在多组用电参数中，选取至少两组第二用电参数，至少两组第二用电参数是连续采样得到的，并且第二用电参数中的各个智能开关的状态未发生变化，且第二用电参数中的智能开关的状态与第一用电参数中的智能开关的状态存在至少一个不同；
该第二确定单元524被配置为用于根据第二用电参数中的智能电表的读数，确定第二用电参数中状态为开启的智能开关的第二整体平均功率。
该第三确定单元525被配置为用于根据第一整体平均功率和第二整体平均功率，确定第一用电参数和第二用电参数中，状态发生变化的智能开关的平均功率。
在另一种实现方式中，采样模块51可以包括：第一控制单元511和第二控制单元512。
该第一控制单元511被配置为用于控制各个智能开关的状态在第一采样时间内保持不变，以设定的采样间隔时间间隔采样智能电表读数，得到第一读数；
该第二控制单元512被配置为用于控制各个智能开关的状态在第二采样时间内保持不变，以设定的采样间隔时间间隔采样智能电表读数，得到第二读数，在第二采样时间内，智能开关的状态与所述第一采样时间内的所述智能开关的状态存在至少一个不同；
在这种实现方式中，该第一确定单元522还被配置为用于根据第一读数和第一采样时间，确定开启状态的智能开关的第一整体平均功率；
该第二确定单元524还被配置为用于根据第二读数和第二采样时间，确定开启状态的智能开关的第二整体平均功率；
该第三确定单元525还被配置为用于根据第一整体平均功率和第二整体平均功率，确定第二采样时间内与第一采样时间内，状态发生变化的智能开关的平均功率。
在本实施例中，时长确定模块53包括：接收单元531、控制单元532、检测单元533、开启单元534、关闭单元535和处理单元536。
该接收单元531被配置为用于接收开关控制指令，开关控制指令包括开启指令和关闭指令；
该控制单元532被配置为用于根据开关控制指令控制各个智能开关的状态；
该检测单元533被配置为用于检测是否有开启指令，开启指令用于开启各个智能开关。
该开启单元534被配置为用于在检测到开启指令时，开启智能开关，并控制与开启的智能开关对应的计时器开始计时，计时器与智能开关一一对应设置；
该检测单元533还被配置为用于检测是否有关闭指令，关闭指令用于关闭各个智能开关；
该关闭单元535被配置为用于在检测到关闭指令时，关闭智能开关，并控制与关闭的智能开关对应的计时器停止计时；
该处理单元536被配置为用于检测是否到达统计时间的结束时刻，当到达统计时间的结束时刻时，读取计时器的读数，根据计时器的读数确定各个智能开关的工作时长。
本公开的一些有益效果可以包括：通过获取智能电表的读数和所有智能开关的状态确定任一个智能开关的平均功率，然后根据平均功率确定任意一个智能开关上的用电量，采用一个智能电表和多个智能开关来统计各个智能开关控制的设备的用电量，减少了电能表的使用个数，也省去了人工统计和分析的麻烦，给家居生活带来了便利。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
图6是根据一示例性实施例示出的一种用电量统计系统的框图。参照图6，该系统包括：一个智能电表1、多个智能开关2和一个终端3，每个智能开关2与一个或多个用电设备4连接，每个智能开关2均与智能电表1连接，每个智能开关2和智能电表1均与终端3无线连接，该终端3内设有与图4和图5对应的实施例中的装置。
其中，智能电表和所有的智能开关以及终端均有无线通信模块，它们可以通过无线网 路(例如WIFI)相互连接。用电设备4可以包括所有的家用电器，例如，电视、电话、传真机和笔记本电脑等。
本公开的一些有益效果可以包括：通过终端获取智能电表的读数和所有智能开关的状态确定任一个智能开关的平均功率，由终端根据平均功率确定任意一个智能开关上的用电量，采用一个智能电表和多个智能开关来统计各个智能开关控制的设备的用电量，减少了电能表的使用个数，也省去了人工统计和分析的麻烦，给家居生活带来了便利。
图7是根据一示例性实施例示出的一种用于统计用电量的装置800的框图。例如，装置800可以是计算机，平板设备，个人数字助理等。
参照图8，装置800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制装置800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理元件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理部件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在设备800的操作。这些数据的示例包括用于在装置800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电力组件806为装置800的各种组件提供电力。电力组件806可以包括电源管理系统，一个或多个电源，及其他与为装置800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述装置800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当装置800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信 号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为装置800提供各个方面的状态评估。例如，传感器组件814可以检测到设备800的打开/关闭状态，组件的相对定位，例如所述组件为装置800的显示器和小键盘，传感器组件814还可以检测装置800或装置800一个组件的位置改变，用户与装置800接触的存在或不存在，装置800方位或加速/减速和装置800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于装置800和其他设备之间有线或无线方式的通信。装置800可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信部件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信部件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器804，上述指令可由装置800的处理器820执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本申请旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。

Claims (12)

  1. 一种用电量统计方法，适用于采用一个智能电表对多个用电设备进行用电量统计，各个所述智能开关分别与所述多个用电设备中的一个或多个连接，且每个所述智能开关均与所述智能电表连接，其特征在于，所述方法包括：
    以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
    根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
    确定各个所述智能开关在设定的统计时间内的工作时长；
    根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
  2. 根据权利要求1所述的方法，其特征在于，所述根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率，包括：
    在所述多组用电参数中，选取至少两组第一用电参数，所述至少两组第一用电参数是连续采样得到的，并且所述第一用电参数中的各个所述智能开关的状态未发生变化；
    根据所述第一用电参数中的所述智能电表的读数，确定所述第一用电参数中状态为开启的所述智能开关的第一整体平均功率；
    在所述多组用电参数中，选取至少两组第二用电参数，所述至少两组第二用电参数是连续采样得到的，并且所述第二用电参数中的各个所述智能开关的状态未发生变化，且所述第二用电参数中的所述智能开关的状态与所述第一用电参数中的所述智能开关的状态存在至少一个不同；
    根据所述第二用电参数中的所述智能电表的读数，确定所述第二用电参数中状态为开启的所述智能开关的第二整体平均功率；
    根据所述第一整体平均功率和所述第二整体平均功率，确定所述第一用电参数和所述第二用电参数中，状态发生变化的所述智能开关的平均功率。
  3. 根据权利要求1所述的方法，其特征在于，所述以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，包括：
    控制各个所述智能开关的状态在第一采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第一读数；
    控制各个所述智能开关的状态在第二采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第二读数，在所述第二采样时间内，所述智能开关的状态与所述第一采样时间内的所述智能开关的状态存在至少一个不同。
  4. 根据权利要求3所述的方法，其特征在于，所述根据所述用电参数中的部分或全部确定各个所述智能开关的平均功率，包括：
    根据所述第一读数和所述第一采样时间，确定开启状态的所述智能开关的第一整体平均功率；
    根据所述第二读数和所述第二采样时间，确定开启状态的所述智能开关的第二整体平均功率；
    根据所述第一整体平均功率和所述第二整体平均功率，确定所述第二采样时间内与所述第一采样时间内，状态发生变化的所述智能开关的平均功率。
  5. 根据权利要求1所述的方法，其特征在于，所述确定各个所述智能开关在设定的统计时间内的工作时长，包括：
    检测是否有开启指令，所述开启指令用于开启各个所述智能开关；
    在检测到所述开启指令时，开启所述智能开关，并控制与开启的所述智能开关对应的计时器开始计时，所述计时器与所述智能开关一一对应设置；
    检测是否有关闭指令，所述关闭指令用于关闭各个所述智能开关；
    在检测到所述关闭指令时，关闭所述智能开关，并控制与关闭的所述智能开关对应的所述计时器停止计时；
    检测是否到达所述统计时间的结束时刻，当到达所述统计时间的结束时刻时，读取所述计时器的读数，根据所述计时器的读数确定各个所述智能开关的工作时长。
  6. 一种用电量统计装置，其特征在于，所述装置包括：
    采样模块，用于以设定的采样间隔时间间隔采样智能电表的读数和智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
    功率确定模块，用于根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
    时长确定模块，用于确定各个所述智能开关在设定的统计时间内的工作时长；
    电量确定模块，用于根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
  7. 根据权利要求6所述的装置，其特征在于，所述功率确定模块，包括：
    第一选取单元，用于在所述多组用电参数中，选取至少两组第一用电参数，所述至少两组第一用电参数是连续采样得到的，并且所述第一用电参数中的各个所述智能开关的状态未发生变化；
    第一确定单元，用于根据所述第一用电参数中的所述智能电表的读数，确定所述第一用电参数中状态为开启的所述智能开关的第一整体平均功率；
    第二选取单元，用于在所述多组用电参数中，选取至少两组第二用电参数，所述至少两组第二用电参数是连续采样得到的，并且所述第二用电参数中的各个所述智能开关的状态未发生变化，且所述第二用电参数中的所述智能开关的状态与所述第一用电参数中的所述智能开关的状态存在至少一个不同；
    第二确定单元，用于根据所述第二用电参数中的所述智能电表的读数，确定所述第二用电参数中状态为开启的所述智能开关的第二整体平均功率；
    第三确定单元，用于根据所述第一整体平均功率和所述第二整体平均功率，确定所述 第一用电参数和所述第二用电参数中，状态发生变化的所述智能开关的平均功率。
  8. 根据权利要求6所述的装置，其特征在于，所述采样模块，包括：
    第一控制单元，用于控制各个所述智能开关的状态在第一采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第一读数；
    第二控制单元，用于控制各个所述智能开关的状态在第二采样时间内保持不变，以所述设定的采样间隔时间间隔采样所述智能电表读数，得到第二读数，在所述第二采样时间内，所述智能开关的状态与所述第一采样时间内的所述智能开关的状态存在至少一个不同。
  9. 根据权利要求8所述的装置，其特征在于，所述第一确定单元还用于根据所述第一读数和所述第一采样时间，确定开启状态的所述智能开关的第一整体平均功率；
    所述第二确定单元还用于根据所述第二读数和所述第二采样时间，确定开启状态的所述智能开关的第二整体平均功率；
    所述第三确定单元还用于根据所述第一整体平均功率和所述第二整体平均功率，确定所述第二采样时间内与所述第一采样时间内，状态发生变化的所述智能开关的平均功率。
  10. 根据权利要求6所述的装置，其特征在于，所述时长确定模块，包括：
    检测单元，用于检测是否有开启指令，所述开启指令用于开启各个所述智能开关；
    开启单元，用于在检测到所述开启指令时，开启所述智能开关，并控制与开启的所述智能开关对应的计时器开始计时，所述计时器与所述智能开关一一对应设置；
    所述检测单元还用于检测是否有关闭指令，所述关闭指令用于关闭各个所述智能开关；
    关闭单元，用于在检测到所述关闭指令时，关闭所述智能开关，并控制与关闭的所述智能开关对应的所述计时器停止计时；
    处理单元，用于检测是否到达所述统计时间的结束时刻，当到达所述统计时间的结束时刻时，读取所述计时器的读数，根据所述计时器的读数确定各个所述智能开关的工作时长。
  11. 一种用电量统计装置，其特征在于，所述装置包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为：
    以设定的采样间隔时间间隔采样所述智能电表的读数和所述智能开关的状态，得到多组用电参数，每组所述用电参数包括所述智能电表的读数和所述智能开关的状态；
    根据所述多组用电参数中的部分或全部确定各个所述智能开关的平均功率；
    确定各个所述智能开关在设定的统计时间内的工作时长；
    根据各个所述智能开关的工作时长和各个所述智能开关的所述平均功率，确定各个所述智能开关的在所述统计时间内的用电量。
  12. 一种用电量统计系统，其特征在于，所述系统包括：
    一个智能电表、多个智能开关和一个终端，每个所述智能开关与一个或多个用电设备连接，每个所述智能开关均与所述智能电表连接，每个所述智能开关和所述智能电表均与所述终端无线连接，所述终端内设有如权利要求6-11任一项所述的装置。
PCT/CN2014/089255 2014-05-30 2014-10-23 用电量统计方法、装置和系统 Ceased WO2015180386A1 (zh)

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