WO2022088897A1 - 共享空调的数据处理方法及数据处理装置 - Google Patents

共享空调的数据处理方法及数据处理装置 Download PDF

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Publication number
WO2022088897A1
WO2022088897A1 PCT/CN2021/114772 CN2021114772W WO2022088897A1 WO 2022088897 A1 WO2022088897 A1 WO 2022088897A1 CN 2021114772 W CN2021114772 W CN 2021114772W WO 2022088897 A1 WO2022088897 A1 WO 2022088897A1
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WIPO (PCT)
Prior art keywords
period
air conditioner
power
data processing
shared air
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PCT/CN2021/114772
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English (en)
French (fr)
Inventor
臧元强
庄佳兰
Original Assignee
重庆海尔空调器有限公司
青岛海尔空调器有限总公司
青岛海尔空调电子有限公司
海尔智家股份有限公司
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Publication of WO2022088897A1 publication Critical patent/WO2022088897A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0206—Price or cost determination based on market factors
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/14—Payment architectures specially adapted for billing systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0645—Rental transactions; Leasing transactions
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2140/00—Control inputs relating to system states
    • F24F2140/60—Energy consumption

Definitions

  • the invention relates to intelligent home appliance control, in particular to a data processing method and data processing device for a shared air conditioner.
  • the sharing model has been applied to the air-conditioning industry.
  • some of the shared air conditioners in the prior art have relatively simple payment models, and can only use a fixed unit price and usage time to charge for the shared air conditioners, without taking into account the restrictions on the operating power of the air conditioners in some areas, it is impossible to target different air conditioners. Adjust the usage fee of the shared air conditioner according to the usage environment.
  • One object of the present invention is to overcome at least one technical defect in the prior art, and to provide a data processing method and data processing device for a shared air conditioner.
  • a further object of the present invention is to enable the charging standard of the shared air conditioner to be dynamically adjusted according to the power.
  • Another further object of the present invention is to provide users with estimated costs and improve the user experience.
  • a data processing method for a shared air conditioner comprising: acquiring the instantaneous power of the shared air conditioner according to a preset first cycle; Power consumption; the power consumption is accumulated according to the preset second cycle to obtain the cumulative power consumption of the cycle, and the second cycle is the set multiple of the first cycle; calculated according to the cumulative power consumption of the cycle and the duration of the second cycle Period average power; the billing standard in the second period is determined according to the period average power.
  • the first period is set according to the frequency modulation speed of the compressor of the shared air conditioner.
  • the second period is set according to the shortest time that the compressor of the shared air conditioner runs continuously in any set gear.
  • the step of determining the charging standard in the second period according to the periodic average power includes: judging whether the periodic average power is within a preset power threshold range; if so, determining within a preset charging threshold range corresponding to the power threshold range The charging standard in the second period, so that the charging standard in the second period increases correspondingly with the increase of the average power of the period.
  • the first set standard is used as the charging standard in the second cycle, wherein the first set standard is greater than or equal to the maximum value of the preset charging threshold range.
  • the second set standard is used as the charging standard in the second cycle, wherein the second set standard is less than or equal to the minimum value of the preset charging threshold range.
  • the method further includes: acquiring historical operation information of the shared air conditioner, where the historical operation information is used to save the corresponding relationship between the working environment parameters and the operation state information, and the operation is performed.
  • the status information includes the period average power; obtain the measured values of the working environment parameters of the shared air conditioner, and determine the estimated period average power according to the corresponding relationship; determine the estimated billing standard according to the estimated period average power; send the estimated billing standard to the users of the shared air conditioner .
  • the method further includes: calculating and obtaining the usage fee in the second period according to the duration of the second period and the charging standard in the second period; obtaining The user's account balance is used, and the usage fee in the second period is deducted from the account balance.
  • the steps further include: obtaining the shutdown time of the shared air conditioner; The time period at the beginning of the second cycle is recorded as the last operation period; the power consumption in the last operation period is accumulated to obtain the accumulated power consumption of the last operation period; according to the accumulated power consumption of the last operation period Calculate the average power of the last running time period from the electricity and time length; determine the charging standard in the last running time period according to the average power in the last running time period; determine the last running time according to the time length and the charging standard in the last running time period The usage fee during the time period; the new account balance is obtained by deducting the usage fee during the last running time period from the account balance.
  • the step of deducting the usage fee in the last running time period from the account balance also includes: calculating the estimated fee according to the estimated charging standard and the actual running time; judging the usage fee in the second cycle and the last running time period; Whether the difference between the sum of the usage fees within and the estimated fee is less than the preset difference threshold; if not, send the billing standard and the usage fee to the user, and provide the fee details.
  • a data processing device for a shared air conditioner comprising: a processor; and a memory in which a data processing program is stored, and when the data processing program is executed by the processor, the data processing program is used for A data processing method according to any of the above is implemented.
  • the data processing method for a shared air conditioner of the present invention is provided with a first cycle and a second cycle, and the second cycle includes a plurality of first cycles.
  • the power consumption in the first period is calculated by obtaining the instantaneous power of the first period, and then the cumulative power consumption of the second period is obtained by calculating the power consumption, so as to obtain the period average power of the second period.
  • This power adjusts the billing of the shared air conditioner. Adjusting the billing standard by sharing the operating power of the air conditioner can make the billing method more flexible and more suitable for the actual application conditions of the place of use.
  • a preset power threshold range is set, and a charging threshold range is set correspondingly.
  • the maximum value greater than or equal to the charging threshold range is adopted.
  • the power is lower than the minimum value of the power threshold range, the minimum value that is less than or equal to the charging threshold range is adopted.
  • a charging upper limit is set, which can effectively save the user's usage costs and improve the user's experience;
  • a lower charging limit is set to ensure the interests of the operator . And in this process, users can be urged to use less high-power operation mode, the service life of the shared air conditioner can be increased, and the operation stability can be ensured.
  • FIG. 1 is a schematic diagram of data interaction of a shared air conditioner according to an embodiment of the present invention
  • FIG. 2 is a schematic block diagram of a data processing apparatus for a shared air conditioner according to an embodiment of the present invention
  • FIG. 3 is a flowchart of a data processing method for a shared air conditioner according to an embodiment of the present invention
  • Fig. 4 is the flow chart of determining the charging standard step in the data processing method of the shared air conditioner shown in Fig. 3;
  • FIG. 5 is a flowchart of steps of determining an estimated billing standard according to historical operation information of a shared air conditioner in a data processing method for a shared air conditioner according to an embodiment of the present invention
  • FIG. 6 is a flowchart of the steps of determining the usage cost of the last operating time period in a data processing method for a shared air conditioner according to an embodiment of the present invention
  • FIG. 7 is a flowchart of a data processing method for a shared air conditioner according to a preferred embodiment of the present invention.
  • FIG. 8 is another flowchart of a data processing method for a shared air conditioner according to a preferred embodiment of the present invention.
  • FIG. 1 is a schematic diagram of data interaction of a shared air conditioner according to an embodiment of the present invention.
  • the interaction process of the shared air conditioner in this embodiment generally involves the shared air conditioner 10 and the server 20 .
  • the shared air conditioner 10 can acquire the working environment parameters, upload the working environment parameters to the server 20 , and then execute the control instructions sent by the server 20 .
  • the shared air conditioner 10 may generally include a data processing device 100, a compressor, an indoor unit fan, an outdoor unit fan, a current detection device, and a voltage detection device.
  • the current detection device and the voltage detection device can be used to detect the current and voltage of the compressor.
  • the server 20 can record the working environment parameters and operating state information of the shared air conditioner 10, and store the operating state information corresponding to the working environment parameters and record it as historical operation information.
  • the historical operation information can be stored locally in the shared air conditioner 10, or can be The server 20 is stored in correspondence with the shared air conditioner 10 .
  • the working environment parameters include but are not limited to indoor temperature, outdoor temperature, indoor humidity, air particulate matter index, carbon dioxide concentration, air conditioner operating time period, air conditioner operation date, and air conditioner startup time.
  • Operating status information includes but is not limited to setting mode, setting wind speed, setting temperature, setting humidity, setting air cleanliness, setting fresh air function, setting negative ion function, and operating power, wherein operating power includes compressor operating power , indoor unit power, outdoor unit power.
  • FIG. 2 is a schematic block diagram of a data processing apparatus for a shared air conditioner according to an embodiment of the present invention.
  • the data processing apparatus 100 generally includes a processor 110 and a memory 120 .
  • a data processing program 121 is stored in the memory 120 .
  • the data processing program 121 is used to implement the data processing method of the shared air conditioner 10 when executed by the processor 110 .
  • one or more of a setting detection module and a communication module may be added to the shared air conditioner 10 .
  • the detection module is used to detect working environment parameters and operating status information.
  • the communication module is used for data interaction with the server 20 and receiving control instructions sent by the server.
  • the shared air conditioner 10 may also be provided with a display terminal, which may display information such as user identity information, account balance, set mode, set temperature, ambient temperature, and ambient humidity of the user.
  • FIG. 3 is a flowchart of a data processing method for a shared air conditioner according to an embodiment of the present invention.
  • a data processing method for a shared air conditioner may generally include:
  • Step S302 obtaining the instantaneous power P 1 of the shared air conditioner according to a preset first cycle.
  • the first cycle can be set according to the compressor frequency modulation speed of the shared air conditioner.
  • the first period is set as the time for each 1 Hz adjustment of the compressor, which can generally be set to 1 s-5 s, preferably 1 s.
  • Instantaneous power can be obtained by accumulating compressor power, indoor unit power, outdoor unit power and other component powers.
  • the power of other components may include the operating power of the main control board, the standby power of the shared air conditioner, and the like.
  • the shared air conditioner may be provided with a current detection device and a voltage detection device, the current detection device is used to detect the current value of the compressor, and the voltage detection device is used to detect the voltage value of the compressor.
  • the current value is calculated to obtain the power value of the compressor.
  • the server stores the corresponding relationship between the indoor unit power and the wind speed gear of the indoor unit fan. After the wind speed gear of the indoor unit fan is obtained, the indoor unit power can be determined through the corresponding relationship. The corresponding relationship can be obtained through multiple experiments.
  • the server also stores the corresponding relationship between the power of the outdoor unit and the wind speed gear of the outdoor unit fan. After the wind speed gear of the outdoor unit fan is obtained, the power of the outdoor unit can be obtained through the corresponding relationship.
  • the corresponding relationship can be obtained through multiple experiments.
  • the power of other components can be obtained through multiple tests to obtain a suitable fixed value, and the fixed value can be directly used to correspond to the power of other components.
  • Step S304 calculating the power consumption in the first cycle according to the instantaneous power.
  • Step S306 Accumulate the power consumption according to the preset second cycle to obtain the cycle cumulative power consumption.
  • the second period may be set according to the shortest time that the compressor of the shared air conditioner keeps running in any set gear.
  • the compressor needs to continue to run for a certain period of time when it is adjusted to a certain operating gear.
  • each operating gear corresponds to its own compressor operating frequency.
  • the operating times of the different gears can be the same or different, and the second cycle can be set to the minimum value among them.
  • the second period is a set multiple of the first period.
  • the second period can generally be 30s-60s, preferably 30s.
  • Step S308 Calculate the period average power according to the period accumulative power consumption of the second period and the duration of the second period.
  • the second period is 30s
  • the first period is 1s
  • the shared air conditioner calculates the power consumption every 1s, and accumulates the power consumption for 30s, and then records the power consumption within 30s as the period cumulative power consumption, and uses the Calculate the cumulative power consumption of the cycle and 30s to obtain the average power in the second cycle.
  • Step S310 Determine the charging standard in the second period according to the period average power.
  • the present invention changes the charging standard for the operating power of the shared air conditioner, so that the user can voluntarily adjust the used power of the shared air conditioner, thereby ensuring that the regional power grid output power is relatively stable and can operate stably.
  • Adjusting the billing standard by sharing the operating power of the air conditioner can make the billing method more flexible and more suitable for the actual application conditions of the place of use.
  • FIG. 4 is a flowchart of the steps of determining the billing standard in the data processing method of the shared air conditioner shown in FIG. 3 .
  • the step of determining the charging standard in the second cycle according to the cycle average power includes:
  • Step S402 judging whether the periodic average power is within a preset power threshold range.
  • the power threshold range can be set to 500w-1kw. If yes, step S404 is executed. If not, step S406 is executed.
  • Step S404 Determine the charging standard in the second period within the preset charging threshold range corresponding to the power threshold range, and make the charging standard in the second period increase correspondingly with the increase of the period average power.
  • a plurality of charging thresholds ie, charging standards
  • the cycle average power of the shared air conditioner is 700kw.
  • the cycle average power is within the preset power threshold range.
  • the cycle average power determines that the charging standard is 2 yuan/h, and the charging standard is used to calculate and use cost. Using the power to dynamically adjust the billing standard allows users to adjust their usage habits through price, reduce the power occupied by the shared air conditioner, and improve the user experience.
  • Step S406 it is judged whether the periodic average frequency is greater than the maximum value of the power threshold range. If yes, step S408' is executed. If not, execute S410.
  • Step S408 if the period average power is greater than the maximum value of the power threshold range, the first set standard is used as the charging standard in the second period.
  • the first set standard is greater than or equal to the maximum value of the preset charging threshold range.
  • a first setting standard is adopted, and the first setting standard in this embodiment is 5 yuan/h , the first set standard is greater than the maximum value of the preset charging threshold range.
  • Setting the first setting standard to a maximum value greater than the preset charging threshold range can remind users that excessive power will incur extra charges, so that users can choose whether to reduce power, which can not only meet user needs, but also reduce sharing
  • the operating power of the air conditioner can further ensure that the grid load in the area is relatively stable.
  • Step S410 if the period average power is less than the minimum value of the power threshold range, the second set standard is used as the charging standard in the second period.
  • the second set standard is less than or equal to the minimum value of the preset charging threshold range.
  • a second setting standard is adopted, and the second setting standard in this embodiment is 2 yuan/h. Setting the second setting standard to be less than or equal to the minimum value of the preset charging threshold range can ensure the interests of the operator when the user reduces the power as much as possible, and prevent the operation cost from being too high, the profit being low, and the normal operation being impossible.
  • FIG. 5 is a flowchart of the steps of determining the estimated billing standard according to the historical operation information of the shared air conditioner in the data processing method of the shared air conditioner according to an embodiment of the present invention. As shown in FIG. 5 , before the step of acquiring the instantaneous power of the shared air conditioner according to the preset first cycle, the method further includes:
  • Step S502 obtaining historical operation information of the shared air conditioner.
  • the historical operation information is used to save the corresponding relationship between the working environment parameters and the operation state information, and the operation state information includes the period average power.
  • the above-mentioned corresponding relationship between the working environment parameters and the operating state information refers to the corresponding relationship between the working environment parameters and the operating state information during the operation process of the shared air conditioner within the set time period before the startup of the shared air conditioner.
  • step S504 the measured values of the working environment parameters of the shared air conditioner are obtained.
  • Step S506 Determine the expected period average power according to the corresponding relationship.
  • the working environment parameter information of the shared air conditioner is obtained as an indoor temperature of 29°C and an outdoor temperature of 32°C
  • the corresponding operating status information queried in the corresponding relationship is that the cycle average power is 700kw
  • the expected cycle average power is It is 700kw
  • the estimated billing standard is determined according to the estimated period average power is 5 yuan/h.
  • the corresponding relationship of the charging standard is obtained by querying.
  • Step S508 sending the estimated billing standard to the users who use the shared air conditioner.
  • the shared air conditioner will record the operation-related information during each operation, so as to establish a corresponding relationship between the operation status information of the shared air conditioner and the working environment parameters.
  • the shared air conditioner When the shared air conditioner is turned on, the working environment parameters are detected, and then obtained according to the working environment parameters.
  • the running status information that may be generated, and then the estimated billing standard is obtained through the running status information.
  • the billing standard that may be generated by the shared air conditioner can be predicted, and then provided to the user, so that the user can have a certain psychological expectation on the cost that may be generated by the subsequent operation, thereby improving the user's use experience.
  • the method further includes: calculating the usage fee in the second period according to the duration of the second period and the charging standard in the second period; obtaining the account of the user balance, and deduct the usage fee for the second cycle from the account balance.
  • the operating time of the shared air conditioner may include multiple second cycles, and the usage fee in the second cycle may be deducted every second cycle.
  • the operating time of the shared air conditioner may include multiple second cycles and the last operating time period described below. The step of deducting the usage fee in each second period from the account balance may also determine and deduct the usage fee for the last operating period.
  • FIG. 6 is a flow chart of the steps of determining the usage cost of the last operating time period in the data processing method for a shared air conditioner according to an embodiment of the present invention. This process may be applicable to the case that the time length of the last running time period is less than the time length of the second cycle. Referring to FIG. 6 , the following steps are included after the step of deducting the usage fee in the second period from the account balance.
  • the steps for determining and deducting last-run time period usage charges include:
  • Step S602 obtaining the shutdown time of the shared air conditioner.
  • Step S604 Calculate the time length from the shutdown time to the start time of the second cycle, and record the time period from the shutdown time to the start time of the second cycle as the last operation time segment.
  • Step S606 Accumulate the power consumption in the last operation time period to obtain the accumulated power consumption in the last operation time period.
  • Step S608 Calculate and obtain the average power of the last operation period according to the accumulated power consumption and the time length of the last operation period.
  • Step S610 Determine the charging standard in the last operation time period according to the average power in the last operation time period.
  • Step S612 Determine the usage fee in the last operation time period according to the time length of the last operation time period and the charging standard in the last operation time period.
  • Step S614 deduct the usage fee in each running time period from the account balance to obtain a new account balance. Separate billing for the time period of the last operation, which can effectively avoid extra charges for users and improve user experience.
  • FIG. 7 is a flowchart of a data processing method for a shared air conditioner according to a preferred embodiment of the present invention. Referring to Figure 7, the steps of the preferred embodiment include:
  • Step S702 obtaining historical operation information of the shared air conditioner.
  • the historical operation information is used to save the corresponding relationship between the working environment parameters and the operation state information, and the operation state information includes the period average power.
  • step S704 the measured values of the working environment parameters of the shared air conditioner are obtained.
  • Step S706 determine the expected period average power according to the corresponding relationship and the period average power
  • Step S708 according to the expected period average power Determine the estimated billing rate.
  • Step S710 sending the estimated billing standard to the users who use the shared air conditioner.
  • Step S712 Acquire the instantaneous power P moment of the shared air conditioner according to the preset first cycle T 1 .
  • Step S714 Calculate the power consumption W instantaneous in the first period T1 according to the instantaneous power P instantaneous of the shared air conditioner.
  • Step S716 instantaneously accumulating the power consumption W according to the preset second period T 2 to obtain the periodic cumulative power consumption W 2 .
  • Step S718 Calculate the cycle average power during the actual operation of the shared air conditioner according to the cycle cumulative power consumption W 2 and the second cycle duration T 2
  • Step S720 determine the period average power Whether it is within the preset power threshold range. If yes, step S722 is executed. If not, step S721 is executed.
  • Step S722 Determine the charging standard in the second period within the preset charging threshold range corresponding to the power threshold range.
  • Step S721 determine the period average power Whether it is greater than the maximum value P max of the power threshold range. If yes, go to step S724; if not, go to step S726.
  • Step S724 if the periodic average power is greater than the maximum value of the power threshold range, that is, Then the first set standard is used as the charging standard.
  • the first set standard is greater than or equal to the maximum value of the preset charging threshold range.
  • the second set standard is less than or equal to the minimum value of the preset charging threshold range.
  • Step S728 Calculate the usage fee in the second cycle according to the second cycle duration T2 and the charging standard in the second cycle.
  • step S730 the account balance of the user is obtained, and the usage fee in the second cycle is deducted from the account balance.
  • the operating time of the shared air conditioner may include multiple second cycles, and the usage fee in the second cycle may be deducted every second cycle.
  • Step S732 obtaining the shutdown time of the shared air conditioner.
  • Step S734 obtaining the time length T end of the last running time period. Calculate the time length from the shutdown time to the start time of the second cycle, and record the time period from the shutdown time to the start time of the second cycle as the last operation time segment.
  • Step S736 instantaneously accumulate the power consumption W in the last operation time period to obtain the accumulated power consumption W of the last operation time period.
  • Step S738, calculate and obtain the average power of the last operation time period according to the accumulated power consumption W end and the time length T end of the last operation time period
  • Step S740 according to the average power of the last running time period Determine the billing criteria for the last run time period.
  • Step S742 Determine the usage fee in the last operation time period according to the time length T end of the last operation time period and the charging standard.
  • Step S744 deduct the usage fee of the last running time period from the account balance to obtain a new account balance.
  • FIG. 8 is another flowchart of a data processing method for a shared air conditioner according to a preferred embodiment of the present invention. This flowchart is applicable after the above-mentioned step S744. After step S744, the data processing flow of the shared air conditioner further includes:
  • Step S802 calculate and obtain the estimated cost according to the estimated charging standard and the actual running time.
  • Step S804 judging whether the difference between the sum of the usage fee in the second cycle and the usage fee in the last operating time period and the expected fee is less than a preset difference threshold, wherein the usage fee in the second cycle refers to the total deducted per The sum of the usage charges for the second cycle, and the actual operating time refers to the actual usage time of the shared air conditioner by the user. If not, step S806 is executed. If yes, step S808 is executed.
  • step S806 the charging standard and usage fee are sent to the user, and the fee details are provided.
  • step S808 the data processing process is directly ended, and no expense details are provided.
  • the preset difference threshold is set to 3 yuan
  • the estimated billing standard received by the user before turning on the shared air conditioner is 3 yuan/h, and then the shared air conditioner is turned on and continues to run for 3 hours.
  • the cost is 9 yuan, and in the actual operation process, a series of adjustments are made to the billing standard through power, and the user's usage cost is 15 yuan.
  • the difference between the estimated cost and the usage cost is greater than the preset difference.
  • the user's fee details are provided to the user at the same time. By providing fee details, users can clearly understand why the actual usage fee is different from the estimated fee, and the user experience can be improved.
  • the data processing method for a shared air conditioner in this embodiment is provided with a first cycle and a second cycle, and the second cycle includes a plurality of first cycles.
  • the power consumption in the first period is calculated by obtaining the instantaneous power of the first period, and then the power consumption is accumulated in the period from the power consumption calculation to the second period, so as to obtain the period average power of the second period, and
  • the billing standard for shared air conditioners is determined by the cycle average power. Adjusting the billing standard by sharing the operating power of the air conditioner can make the billing method more flexible and more suitable for the actual application conditions of the place of use.
  • the upload steps can be reduced, the waiting time of feedback can be reduced, and the control speed reduction caused by network problems can be avoided as much as possible, and the intelligent level of the shared air conditioner can be further improved. It enriches the application scenarios of smart air conditioners.
  • a preset power threshold range is set, and a charging threshold range is correspondingly set, and when the power is higher than the maximum value of the power threshold range, the maximum value greater than or equal to the charging threshold range is adopted, When the power is lower than the minimum value of the power threshold range, the minimum value less than or equal to the charging threshold range is adopted.
  • a charging upper limit is set, which can effectively save the user's usage costs and improve the user's experience; when the power of the shared air conditioner is too low, a lower charging limit is set to ensure the interests of the operator . And in this process, users can be urged to use less high-power operation mode, the service life of the shared air conditioner can be increased, and the operation stability can be ensured.

Abstract

一种共享空调的数据处理方法及数据处理装置，该数据处理方法包括：按照预设的第一周期获取共享空调的瞬时功率；根据瞬时功率计算第一周期内的耗电量；按照预设的第二周期对耗电量进行累加，得到周期累加耗电量，第二周期为第一周期的设定倍数；根据第二周期的周期累加耗电量与第二周期时长计算得到周期平均功率；按照周期平均功率确定第二周期内的计费标准。本发明通过共享空调的运行功率对计费标准进行调整可使得计费方式更加灵活，可以更加贴合使用地的实际应用状况，还可以在精确控制的前提下，减少上传步骤，减少反馈的等待时间，尽量避免因为网络问题导致的控制速度下降，进一步提高共享空调的智能化水平，丰富智能空调的应用场景。

Description

共享空调的数据处理方法及数据处理装置 技术领域
本发明涉及智能家电控制，特别是涉及一种共享空调的数据处理方法及数据处理装置。
背景技术
随着世界共享经济的兴起，物联网技术的成熟应用，实现了通过物联解决业务的问题，使用户生活更加简单，选择更加多样，经济成本更低，效率更高。
目前共享模式已应用到空调行业，例如市场上有按时付费的共享空调。然而，现有技术中的部分共享空调付费模式较为单一，只能利用固定单价和使用时间对共享空调进行计费，未考虑到在部分地区存在对空调器的运行功率的限制，无法针对不同的使用环境对共享空调的使用费用进行调整。
发明内容
本发明的一个目的是要克服现有技术中的至少一个技术缺陷，提供一种共享空调的数据处理方法及数据处理装置。
本发明一个进一步的目的是要使得共享空调的计费标准可以根据功率进行动态调整。
本发明另一个进一步的目的是要提供给用户预计费用，提高用户的使用体验。
特别地，根据本发明的一方面，提供了一种共享空调的数据处理方法，该数据处理方法包括：按照预设的第一周期获取共享空调的瞬时功率；根据瞬时功率计算第一周期内的耗电量；按照预设的第二周期对耗电量进行累加，得到周期累加耗电量，第二周期为第一周期的设定倍数；根据周期累加耗电量与第二周期时长计算得到周期平均功率；按照周期平均功率确定第二周期内的计费标准。
进一步地，第一周期根据共享空调的压缩机调频速度设置。
进一步地，第二周期根据共享空调的压缩机在任一设定档位内持续运行的最短时间设置。
进一步地，按照周期平均功率确定第二周期内的计费标准的步骤包括： 判断周期平均功率是否在预设的功率阈值范围内；若是，在功率阈值范围对应的预设计费阈值范围内确定第二周期内的计费标准，并使得第二周期内的计费标准随周期平均功率增大而相应增大。
进一步地，若周期平均功率大于功率阈值范围的最大值，则将第一设定标准作为第二周期内的计费标准，其中第一设定标准大于或等于预设计费阈值范围的最大值；若周期平均功率小于功率阈值范围的最小值，则将第二设定标准作为第二周期内的计费标准，其中第二设定标准小于或等于预设计费阈值范围的最小值。
进一步地，在按照预设的第一周期获取共享空调的瞬时功率的步骤之前，还包括：获取共享空调的历史运行信息，历史运行信息用于保存工作环境参数与运行状态信息的对应关系，运行状态信息包括周期平均功率；获取共享空调的工作环境参数实测值，并根据对应关系确定预计周期平均功率；根据预计周期平均功率确定预计计费标准；将预计计费标准发送给共享空调的使用用户。
进一步地，在按照周期平均功率确定第二周期内的计费标准的步骤之后还包括：根据第二周期时长与第二周期内的计费标准计算得到所述第二周期内的使用费用；获取使用用户的账户余额，并在账户余额中扣除所述第二周期内的使用费用。
进一步地，在账户余额中扣除所述第二周期内的使用费用的步骤之后还包括：获取共享空调的关机时刻；计算关机时刻距离所处第二周期的开始时刻的时间长度，将关机时刻距离所处第二周期的开始时刻的时间段记为末次运行时间段；将末次运行时间段内的耗电量进行累加，得到末次运行时间段的累加耗电量；根据末次运行时间段的累加耗电量与时间长度计算得到末次运行时间段的平均功率；按照末次运行时间段的平均功率确定末次运行时间段内的计费标准；根据时间长度与末次运行时间段内的计费标准确定末次运行时间段内的使用费用；在账户余额扣除末次运行时间段内的使用费用，得到新的账户余额。
进一步地，在账户余额扣除末次运行时间段内的使用费用的步骤之后还包括：根据预计计费标准与实际运行时间计算得到预计费用；判断所述第二周期内的使用费用与末次运行时间段内的使用费用的和与预计费用的差值是否小于预设差值阈值；若否，则将计费标准以及使用费用发送给用户，并 提供费用明细。
根据本发明的另一方面，还提供了一种共享空调的数据处理装置，该数据处理装置包括：处理器；和存储器，其内存储有数据处理程序，数据处理程序被处理器执行时用于实现根据上述任一项的数据处理方法。
本发明的共享空调的数据处理方法设置有第一周期与第二周期，且第二周期包括多个第一周期。通过获取第一周期的瞬时功率来计算得到第一周期内的耗电量，再通过该耗电量计算得到第二周期的周期累加耗电量，从而得到第二周期的周期平均功率，并通过该功率对共享空调的计费进行调整。通过共享空调的运行功率对计费标准进行调整可使得计费方式更加灵活，可以更加贴合使用地的实际应用状况。通过设置第一周期和第二周期，可以在精确控制的前提下，减少上传步骤，减少反馈的等待时间，尽量避免因为网络问题导致的控制速度下降。
进一步地，本发明的数据处理方法设置有预设的功率阈值范围，并对应设置计费阈值范围，当功率高于功率阈值范围的最大值时采用大于或等于计费阈值范围的最大值，当功率低于功率阈值范围的最小值时采用小于或等于计费阈值范围的最小值。当共享空调的功率过高时，设置有计费上限，可有效节省用户的使用费用，提升用户的使用感受；当共享空调的功率过低时，设置有计费下限，可保证运营商的利益。且可在该过程中促使用户较少使用高功率的运行模式，增加共享空调的使用寿命，保证运行稳定。
根据下文结合附图对本发明具体实施例的详细描述，本领域技术人员将会更加明了本发明的上述以及其他目的、优点和特征。
附图说明
后文将参照附图以示例性而非限制性的方式详细描述本发明的一些具体实施例。附图中相同的附图标记标示了相同或类似的部件或部分。本领域技术人员应该理解，这些附图未必是按比例绘制的。附图中：
图1是根据本发明一个实施例的共享空调的数据交互示意图；
图2是根据本发明一个实施例的共享空调的数据处理装置的示意性框图；
图3是根据本发明一个实施例的共享空调的数据处理方法的流程图；
图4是图3所示的共享空调的数据处理方法中确定计费标准步骤的流程 图；
图5是本发明一个实施例的共享空调的数据处理方法中根据共享空调的历史运行信息确定预计计费标准步骤的流程图；
图6是本发明一个实施例的共享空调的数据处理方法中确定末次运行时间段使用费用步骤的流程图；
图7是根据本发明一个优选实施例的共享空调的数据处理方法的流程图。
图8是根据本发明一个优选实施例的共享空调的数据处理方法的另一流程图。
具体实施方式
图1是根据本发明一个实施例的共享空调的数据交互示意图。本实施例中共享空调的交互过程一般性地会涉及共享空调10及服务器20。
共享空调10可以获取工作环境参数，并将该工作环境参数上传至服务器20，而后执行服务器20发送的控制指令。共享空调10一般性地可以包括数据处理装置100、压缩机、室内机风机、室外机风机、电流检测装置、电压检测装置。电流检测装置和电压检测装置可用于检测压缩机的电流和电压。
服务器20可以记录共享空调10的工作环境参数、运行状态信息，并将运行状态信息与工作环境参数对应保存并记录为历史运行信息，该历史运行信息可在共享空调10的本地保存，也可在服务器20中与共享空调10对应保存。工作环境参数包括但不限于室内温度、室外温度、室内湿度、空气颗粒物指数、二氧化碳浓度、空调运行时间段、空调运行日期、空调开机时长。运行状态信息包括但不限于设定模式、设定风速、设定温度、设定湿度、设定空气洁净度、设定新风功能、设定负离子功能、运行功率，其中运行功率包括压缩机运行功率、室内机功率、室外机功率。
图2是根据本发明一个实施例的共享空调的数据处理装置的示意性框图。如图2所示，数据处理装置100一般性的包括处理器110和存储器120。存储器120中存储有数据处理程序121。数据处理程序121被处理器110执行时用于实现共享空调10的数据处理方法。进一步地，共享空调10还可以增加设置检测模块以及通信模块中的一个或多个。检测模块用于检测工作环 境参数以及运行状态信息。通讯模块用于与服务器20进行数据交互，接收由服务器发送的控制指令。共享空调10还可设置有显示终端，该显示终端可以显示有用户的用户身份信息、账户余额、设定模式、设定温度、环境温度、环境湿度等信息。
图3是根据本发明一个实施例的共享空调的数据处理方法的流程图。参考图3，共享空调的数据处理方法一般性地可包括：
步骤S302，按照预设的第一周期获取共享空调的瞬时功率P 1。第一周期可以根据共享空调的压缩机调频速度设置。例如，第一周期设置为压缩机每调节1Hz的时间，一般可以设置为1s-5s，优选为1s。瞬时功率可由压缩机功率、室内机功率、室外机功率以及其他部件功率通过累加获得。其中其他部件功率可以包括主控板的运行功率、共享空调的待机功率等。
在一些实施例中，共享空调可以设置有电流检测装置和电压检测装置，电流检测装置用于检测压缩机的电流值，电压检测装置用于检测压缩机的电压值，根据检测到的电压值与电流值计算得到压缩机的功率值。在服务器中保存有室内机功率与室内机风机风速档位的对应关系，在获取到室内机风机的风速档位后，可通过该对应关系确定室内机功率。该对应关系可以通过多次的实验得出。在服务器中还保存有室外机功率与室外机风机风速档位的对应关系，在获取到室外机风机的风速档位后，可通过该对应关系获取室外机功率。该对应关系可以通过多次的实验得出。其他部件功率可通过多次试验得出合适的固定值，可直接使用该固定值对应其他部件功率。通过设定室内机风机的风速档位和室内机功率的对应关系以及室外机风机的风速档位和室外机功率的对应关系，可以节省获取步骤，减少计算过程。
步骤S304，根据瞬时功率计算第一周期内的耗电量。在一些实施例中，第一周期T 1内的耗电量W 1可以W 1＝P 1*T 1获取。
步骤S306，按照预设的第二周期对耗电量进行累加，得到周期累加耗电量。第二周期可以根据共享空调的压缩机在任一设定档位内的持续运行的最短时间设置。共享空调在运行过程中，为保护压缩机，压缩机需在调整到某一运行档位时会在该档位持续运行一定时间，例如每一运行档位对应有各自的压缩机运行频率，在各个不同档位的运行时间可以为相同或不同，第二周期可以设置为其中的最小值。第二周期为第一周期的设定倍数。第二周期一般可以为30s-60s，优选为30s。通过设定第二周期进行对计费标准的调整， 可以减少上传计费标准的步骤，提升计算速度，提高运行效率。
步骤S308，根据第二周期的周期累加耗电量与第二周期的时长计算得到周期平均功率。在一些实施例中，第二周期为30s，第一周期为1s，共享空调每1s计算一次耗电量，并累加30s，而后将30s内的耗电量记为周期累加耗电量，使用该周期累加耗电量与30s进行计算，得出第二周期内的平均功率。
步骤S310，按照周期平均功率确定第二周期内的计费标准。
一些地区的电网负载能力较差，抗负载波动能力同样较差，这种情况就对共享空调能否保持较平稳的功率运行提出要求。为满足该要求，本发明针对共享空调的运行功率更改收费标准，使得用户自愿调整共享空调的使用功率，从而能保证地区的电网输出功率较平稳，可稳定运行。通过共享空调的运行功率对计费标准进行调整可使得计费方式更加灵活，可以更加贴合使用地的实际应用状况。通过设置第一周期和第二周期，可以在精确控制的前提下，减少上传步骤，减少反馈的等待时间，尽量避免因为网络问题导致的控制速度下降。
图4是图3所示的共享空调的数据处理方法中确定计费标准步骤的流程图。参考图4，按照周期平均功率确定第二周期内的计费标准的步骤包括：
步骤S402，判断周期平均功率是否在预设的功率阈值范围内。例如，功率阈值范围可以设置为500w-1kw。若是，则执行步骤S404。若否，则执行步骤S406。
步骤S404，在功率阈值范围对应的预设计费阈值范围内确定第二周期内的计费标准，并使得第二周期内的计费标准随周期平均功率的增大而相应增大。预设的计费阈值范围内预置有多个计费阈值(即，计费标准)，且每一周期平均功率对应设置有各自的计费标准。在一些实施例中，共享空调的周期平均功率为700kw，此时周期平均功率处于预设的功率阈值范围内，通过周期平均功率确定计费标准为2元/h，通过该计费标准计算使用费用。利用功率动态调整计费标准，可使得用户通过价格来调整自身的使用习惯，降低共享空调占用的功率，提高用户的使用体验。
步骤S406，判断周期平均频率是否大于功率阈值范围的最大值。若是，则执行步骤S408,。若否，则执行S410。
步骤S408，若周期平均功率大于功率阈值范围的最大值，则将第一设 定标准作为第二周期内的计费标准。第一设定标准大于或等于预设计费阈值范围的最大值。在一些实施例中，若检测到共享空调的周期平均功率为1.2kw，超过功率阈值范围的最大值，则采用第一设定标准，该实施例中的第一设定标准为5元/h，第一设定标准大于预设计费阈值范围的最大值。将第一设定标准设定为大于预设计费阈值范围的最大值可以提醒用户功率过高会产生额外的费用，使得用户可以自行选择是否降低功率，既可满足用户需求，也可降低共享空调的运行功率，进一步可以保证该地区的电网负载较平稳。
步骤S410，若周期平均功率小于功率阈值范围的最小值，则将第二设定标准作为第二周期内的计费标准。第二设定标准小于或等于预设计费阈值范围的最小值。在一些实施例中，若检测到共享空调的周期平均功率为400w，小于功率阈值范围的最小值，则采用第二设定标准，该实施例中的第二设定标准为2元/h。将第二设定标准设定为小于或等于预设计费阈值范围的最小值可以在用户尽可能降低功率时，保证运营商的利益，防止运营成本过高，利润较低，无法正常经营。
图5是本发明一个实施例的共享空调的数据处理方法中根据共享空调的历史运行信息确定预计计费标准步骤的流程图。如图5所示，在按照预设的第一周期获取共享空调的瞬时功率的步骤之前，还包括：
步骤S502，获取共享空调的历史运行信息。历史运行信息用于保存工作环境参数与运行状态信息的对应关系，运行状态信息包括周期平均功率。上述工作环境参数与运行状态信息的对应关系是指共享空调此次开机前设定时间段内的运行过程的工作环境参数与运行状态信息的对应关系。
步骤S504，获取共享空调的工作环境参数实测值。
步骤S506，根据对应关系确定预计周期平均功率。在一些实施例中，若获取到共享空调的工作环境参数信息为室内温度29℃和室外温度32℃，在对应关系中查询到对应的运行状态信息为周期平均功率为700kw，预计周期平均功率即为700kw，根据预计周期平均功率确定预计计费标准为5元/h，根据预计周期平均功率确定预计计费标准的过程既可以为根据公式计算得到，也可以是根据预设的周期平均功率与计费标准的对应关系查询得到。
步骤S508，将预计计费标准发给共享空调的使用用户。
共享空调会记录每次运行过程中的运行相关信息，从而对该共享空调的 运行状态信息和工作环境参数建立对应关系，在共享空调开启时，对工作环境参数进行检测，然后根据工作环境参数获取可能会产生的运行状态信息，再通过该运行状态信息得到预计计费标准。通过上述步骤可以对该共享空调可能产生的计费标准进行预测，然后提供该用户，从而使用户对之后的运行可能产生的费用有一定的心理预期，进而提高用户的使用感受。
在按照周期平均功率确定第二周期内的计费标准的步骤之后还包括：根据第二周期的时长与第二周期内的计费标准计算得到第二周期内的使用费用；获取使用用户的账户余额，并在账户余额中扣除第二周期内的使用费用。
在实际使用过程中，共享空调的运行时间可能包含多个第二周期，可以每隔一个第二周期扣除一次第二周期内的使用费用。在一些实施例中，共享空调的运行时间可能包含多个第二周期以及下述末次运行时间段。在账户余额中扣除每个第二周期内的使用费用的步骤之后还可以确定并扣除末次运行时间段的使用费用。
图6是本发明一个实施例的共享空调的数据处理方法中确定末次运行时间段使用费用步骤的流程图。该流程可以适用于末次运行时间段的时间长度小于第二周期时长的情况。参考图6，在账户余额中扣除第二周期内的使用费用的步骤之后还包括下述步骤。确定并扣除末次运行时间段使用费用的步骤包括：
步骤S602，获取共享空调的关机时刻。
步骤S604，计算关机时刻距离所处第二周期的开始时刻的时间长度，将关机时刻距离所处第二周期的开始时刻的时间段记为末次运行时间段。
步骤S606，将末次运行时间段内的耗电量进行累加，得到末次运行时间段的累加耗电量。
步骤S608，根据末次运行时间段的累加耗电量与时间长度计算得到末次运行时间段的平均功率。
步骤S610，按照末次运行时间段的平均功率确定末次运行时间段内的计费标准。
步骤S612，根据末次运行时间段的时间长度与末次运行时间段内的计费标准确定末次运行时间段内的使用费用。
步骤S614，在账户余额扣除每次运行时间段内的使用费用，得到新的账户余额。对末次运行的时间段进行单独计费，这可有效避免用户产生额外 费用，提升用户的使用体验。
图7是根据本发明一个优选实施例的共享空调的数据处理方法的流程图。参考图7，该优选实施例的步骤包括：
步骤S702，获取共享空调的历史运行信息。历史运行信息用于保存工作环境参数与运行状态信息的对应关系，运行状态信息包括周期平均功率。
步骤S704，获取共享空调的工作环境参数实测值。
步骤S706，根据对应关系和周期平均功率确定预计周期平均功率
Figure PCTCN2021114772-appb-000001
步骤S708，根据预计周期平均功率
Figure PCTCN2021114772-appb-000002
确定预计计费标准。
步骤S710，将预计计费标准发送给共享空调的使用用户。
步骤S712，按照预设的第一周期T 1获取共享空调的瞬时功率P 瞬。
步骤S714，根据共享空调的瞬时功率P 瞬计算第一周期T 1内的耗电量W瞬。
步骤S716，按照预设的第二周期T 2对耗电量W 瞬进行累加，得到周期累加耗电量W 2。
步骤S718，根据周期累加耗电量W 2与第二周期时长T 2计算得到共享空调实际运行过程中的周期平均功率
Figure PCTCN2021114772-appb-000003
步骤S720，判断周期平均功率
Figure PCTCN2021114772-appb-000004
是否在预设的功率阈值范围内。若是，则执行步骤S722。若否，则执行步骤S721。
步骤S722，在功率阈值范围对应的预设计费阈值范围内确定第二周期内的计费标准。
步骤S721，判断周期平均功率
Figure PCTCN2021114772-appb-000005
是否大于功率阈值范围的最大值P max。若是，则执行步骤S724；若否，则执行步骤S726。
步骤S724，若周期平均功率大于功率阈值范围的最大值，即
Figure PCTCN2021114772-appb-000006
则将第一设定标准作为计费标准。第一设定标准大于或等于预设计费阈值范围的最大值。
步骤S726，若周期平均功率小于功率阈值范围的最小值，即
Figure PCTCN2021114772-appb-000007
则将第二设定标准作为计费标准。第二设定标准小于或等于预设计费阈值范围的最小值。
步骤S728，根据第二周期时长T 2与第二周期内的计费标准计算得到第二周期内的使用费用。
步骤S730，获取使用用户的账户余额，并在账户余额中扣除第二周期 内的使用费用。在实际使用过程中，共享空调的运行时间可能包含多个第二周期，可以每隔一个第二周期扣除一次第二周期内的使用费用。
步骤S732，获取共享空调的关机时刻。
步骤S734，获取末次运行时间段的时间长度T 末。计算关机时刻距离所处第二周期的开始时刻的时间长度，将关机时刻距离所处第二周期的开始时刻的时间段记为末次运行时间段。
步骤S736，将末次运行时间段内的耗电量W 瞬进行累加，得到末次运行时间段的累加耗电量W 末。
步骤S738，根据末次运行时间段的累加耗电量W 末与时间长度T 末计算得到末次运行时间段的平均功率
Figure PCTCN2021114772-appb-000008
步骤S740，根据末次运行时间段的平均功率
Figure PCTCN2021114772-appb-000009
确定末次运行时间段的计费标准。
步骤S742，根据末次运行时间段的时间长度T 末与计费标准确定末次运行时间段内的使用费用。
步骤S744，在账户余额扣除末次运行时间段的使用费用，得到新的账户余额。
图8是根据本发明一个优选实施例的共享空调的数据处理方法的另一流程图。该流程图适用于上述步骤S744之后。在步骤S744之后，共享空调的数据处理流程还包括：
步骤S802，根据预计计费标准与实际运行时间计算得到预计费用。
步骤S804，判断第二周期内的使用费用与末次运行时间段内的使用费用的和与预计费用的差值是否小于预设差值阈值，其中第二周期内的使用费用是指全部扣除的每个第二周期的使用费用的总和，实际运行时间是指使用用户针对共享空调的实际使用时长。若否，则执行步骤S806。若是，则执行步骤S808。
步骤S806，将计费标准以及使用费用发送给用户，并提供费用明细。
步骤S808，直接结束数据处理过程，不提供费用明细。
例如，在一些实施例中，预设差值阈值设置为3元，用户在开启共享空调前收到的预计计费标准为3元/h，而后开启共享空调并持续运行了3h，计算得到预计费用为9元，而在实际运行过程中通过功率对计费标准进行了一系列调整，得到用户的使用费用为15元，此时的预计费用与使用费用的差 值大于预设差值，此时将用户的费用明细提供给用户。通过提供费用明细可以使得用户明确了解实际使用费用为何同预计费用存在差异，提升用户的使用体验。
本实施例的共享空调的数据处理方法设置有第一周期与第二周期，且第二周期包括多个第一周期。通过获取第一周期的瞬时功率来计算得到第一周期内的耗电量，再通过该耗电量计算的到第二周期的周期累加耗电量，从而得到第二周期的周期平均功率，并通过周期平均功率确定共享空调的计费标准。通过共享空调的运行功率对计费标准进行调整可使得计费方式更加灵活，可以更加贴合使用地的实际应用状况。且通过设置第一周期和第二周期，可以在精确控制的前提下，减少上传步骤，减少反馈的等待时间，尽量避免因为网络问题导致的控制速度下降，进一步提高了共享空调的智能化水平，丰富了智能空调的应用场景。
进一步地，本实施例的数据处理方法设置有预设的功率阈值范围，并对应设置计费阈值范围，当功率高于功率阈值范围的最大值时采用大于或等于计费阈值范围的最大值，当功率低于功率阈值范围的最小值时采用小于或等于计费阈值范围的最小值。当共享空调的功率过高时，设置有计费上限，可有效节省用户的使用费用，提升用户的使用感受；当共享空调的功率过低时，设置有计费下限，可保证运营商的利益。且可在该过程中促使用户较少使用高功率的运行模式，增加共享空调的使用寿命，保证运行稳定。
至此，本领域技术人员应认识到，虽然本文已详尽示出和描述了本发明的多个示例性实施例，但是，在不脱离本发明精神和范围的情况下，仍可根据本发明公开的内容直接确定或推导出符合本发明原理的许多其他变型或修改。因此，本发明的范围应被理解和认定为覆盖了所有这些其他变型或修改。

Claims (10)

  1. 一种共享空调的数据处理方法，包括：
    按照预设的第一周期获取所述共享空调的瞬时功率；
    根据所述瞬时功率计算所述第一周期内的耗电量；
    按照预设的第二周期对所述耗电量进行累加，得到周期累加耗电量，所述第二周期为所述第一周期的设定倍数；
    根据所述周期累加耗电量与所述第二周期的时长计算得到周期平均功率；
    按照所述周期平均功率确定所述第二周期内的计费标准。
  2. 根据权利要求1所述的数据处理方法，其中，
    所述第一周期根据所述共享空调的压缩机调频速度设置。
  3. 根据权利要求1所述的数据处理方法，其中，
    所述第二周期根据所述共享空调的压缩机在任一设定档位内持续运行的最短时间设置。
  4. 根据权利要求1所述的数据处理方法，其中，所述按照所述周期平均功率确定所述第二周期内的计费标准的步骤包括：
    判断所述周期平均功率是否在预设的功率阈值范围内；
    若是，在所述功率阈值范围对应的预设计费阈值范围内确定所述第二周期内的计费标准，并使得所述第二周期内的计费标准随所述周期平均功率增大而相应增大。
  5. 根据权利要求4所述的数据处理方法，其中，
    若所述周期平均功率大于所述功率阈值范围的最大值，则将第一设定标准作为所述第二周期内的计费标准，其中所述第一设定标准大于或等于所述预设计费阈值范围的最大值；
    若所述周期平均功率小于所述功率阈值范围的最小值，则将第二设定标准作为所述第二周期内的计费标准，其中所述第二设定标准小于或等于所述预设计费阈值范围的最小值。
  6. 根据权利要求1所述的数据处理方法，其中，在按照预设的第一周期获取所述共享空调的瞬时功率的步骤之前，还包括：
    获取所述共享空调的历史运行信息，所述历史运行信息用于保存工作环境参数与运行状态信息的对应关系，所述运行状态信息包括所述周期平均功率；
    获取所述共享空调的工作环境参数实测值，并根据所述对应关系确定预计周期平均功率；
    根据所述预计周期平均功率确定预计计费标准；
    将所述预计计费标准发送给所述共享空调的使用用户。
  7. 根据权利要求6所述的数据处理方法，其中，
    在按照所述周期平均功率确定所述第二周期内的计费标准的步骤之后还包括：
    根据所述第二周期的时长与所述第二周期内的计费标准计算得到所述第二周期内的使用费用；
    获取所述使用用户的账户余额，并在所述账户余额中扣除所述第二周期内的使用费用。
  8. 根据权利要求7所述的数据处理方法，其中，在所述账户余额中扣除所述第二周期内的使用费用的步骤之后还包括：
    获取所述共享空调的关机时刻；
    计算所述关机时刻距离所处第二周期的开始时刻的时间长度，将所述关机时刻距离所述所处第二周期的开始时刻的时间段记为末次运行时间段；
    将所述末次运行时间段内的所述耗电量进行累加，得到所述末次运行时间段的累加耗电量；
    根据所述末次运行时间段的累加耗电量与所述时间长度计算得到所述末次运行时间段的平均功率；
    按照所述末次运行时间段的平均功率确定所述末次运行时间段内的计费标准；
    根据所述时间长度与所述末次运行时间段内的计费标准确定所述末次运行时间段内的使用费用；
    在所述账户余额扣除所述末次运行时间段内的使用费用，得到新的账户余额。
  9. 根据权利要求8所述的数据处理方法，其中，在所述账户余额扣除所述末次运行时间段内的使用费用的步骤之后还包括：
    根据所述预计计费标准与所述共享空调的运行时间计算得到预计费用；
    判断所述第二周期内的使用费用与所述末次运行时间段内的使用费用的和与所述预计费用的差值是否小于预设差值阈值；
    若否，则将所述计费标准以及所述使用费用发送给用户，并提供费用明细。
  10. 一种共享空调的数据处理装置，包括：
    处理器；和
    存储器，其内存储有数据处理程序，所述数据处理程序被所述处理器执行时用于实现根据权利要求1-9中任一项所述的数据处理方法。
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