WO2019062199A1 - 用电计费方式的推荐方法、装置及存储介质 - Google Patents

用电计费方式的推荐方法、装置及存储介质 Download PDF

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Publication number
WO2019062199A1
WO2019062199A1 PCT/CN2018/090327 CN2018090327W WO2019062199A1 WO 2019062199 A1 WO2019062199 A1 WO 2019062199A1 CN 2018090327 W CN2018090327 W CN 2018090327W WO 2019062199 A1 WO2019062199 A1 WO 2019062199A1
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Prior art keywords
charging
power consumption
charging method
electricity
preset
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English (en)
French (fr)
Inventor
樊其锋
黑继伟
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GD Midea Air Conditioning Equipment Co Ltd
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GD Midea Air Conditioning Equipment Co Ltd
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Publication of WO2019062199A1 publication Critical patent/WO2019062199A1/zh
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
    • G07F15/003—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity for electricity
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F15/00—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity
    • G07F15/08—Coin-freed apparatus with meter-controlled dispensing of liquid, gas or electricity with means for varying the tariff or changing the price
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Definitions

  • the present invention relates to the field of Internet of Things appliances, and in particular, to a method, a device and a storage medium for recommending an electricity billing method.
  • Internet of Things appliances refers to the application of Internet of Things technology in air conditioners, refrigerators, washing machines, televisions and other products. With the development of science and technology, the types of Internet of Things appliances are gradually increasing. These types of home appliances are more favored by consumers and are widely used.
  • the user often selects the charging method when the user pays the fee on the website or the APP.
  • the user does not know the pricing method and does not know which charging method is more favorable, and may select the charging method that is frequently used every time, resulting in It is not possible to accurately use the best billing method for billing each time.
  • the main object of the present invention is to provide a method, a device and a storage medium for recommending an electricity billing method, and aim to solve the problem that the user cannot reduce the power consumption cost by accurately selecting the best billing method in the prior art.
  • the present invention provides a method for recommending an electricity charging method, and the method for recommending the power charging method includes the following steps:
  • the recommendation information of the charging method that meets the preset condition for the electricity cost is generated.
  • the step of generating the recommendation information of the charging mode that meets the preset condition by using the electricity cost includes:
  • the recommendation information is generated according to the charging method with the lowest electricity cost.
  • the method before the step of generating the recommendation information according to the charging mode with the lowest power consumption fee, the method further includes:
  • the step of generating the recommendation information according to the charging method with the lowest power consumption fee is performed.
  • the step of generating the recommendation information according to the charging mode with the lowest power consumption fee includes:
  • the recommendation information is generated according to the charging method with the highest frequency of use and the charging method with the lowest power consumption fee.
  • the step of obtaining the charging mode with the highest frequency of use includes:
  • the charging method with the most occurrences is used as the charging method with the highest frequency of use.
  • the recommended method for the charging mode includes:
  • the attributes of the respective charging methods are marked in the recommendation information.
  • the recommended method for the charging mode includes:
  • the method before the step of acquiring the power consumption data in the first preset time interval, the method further includes:
  • the step of acquiring the power consumption data in the first preset time interval is performed, wherein the reminding time point is determined according to the user's payment time point.
  • the recommended method for the charging mode includes:
  • the method further includes:
  • the preset charging method is determined according to the city where the user is located.
  • the present invention further provides an apparatus for recommending a method of using an electric charging method
  • the apparatus for recommending a method of using a charging method includes: a memory, a processor, and a memory stored in the memory a recommendation method of a charging mode that can be run on the processor, where the recommended procedure of the charging mode is implemented by the processor, and a recommended method of using a charging mode, the recommendation of the charging mode
  • the method includes the steps of:
  • the recommendation information of the charging method that meets the preset condition for the electricity cost is generated.
  • the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a recommendation program of a charging method, and the recommended program of the charging method is implemented by a processor.
  • the recommended method of the electricity charging method includes the following steps:
  • the recommendation information of the charging method that meets the preset condition for the electricity cost is generated. .
  • the recommended method, device and storage medium for the electricity charging method proposed by the embodiment of the present invention firstly acquire the power consumption and power consumption time of the household appliance for a period of time, systematically understand the distribution of the household electrical appliance, and then adopt a preset different meter.
  • the fee method calculates the power consumption fee in the time period according to the power consumption time and the power consumption, and recommends the lowest charging method to the user, and the user can accurately obtain the best charging method, which is reasonable for the user. Reduce electricity costs.
  • FIG. 1 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present invention
  • FIG. 2 is a schematic flow chart of a first embodiment of a method for recommending an electricity charging method according to the present invention
  • FIG. 3 is a schematic flowchart showing the steps of generating recommendation information in the second embodiment of the method for recommending the electricity charging method of the present invention
  • FIG. 4 is a schematic flowchart of a step of generating recommendation information in a third embodiment of a method for recommending an electricity charging method according to the present invention
  • FIG. 5 is a schematic flowchart diagram of a sixth embodiment of a method for recommending an electricity charging method according to the present invention.
  • the recommendation information of the charging method that meets the preset condition for the electricity cost is generated.
  • the charging method that is frequently used may be selected each time, so that the charging method cannot be accurately performed every time by using the optimal charging method. .
  • the invention provides a solution for firstly obtaining the electricity consumption and the electricity consumption time of the household appliance for a period of time, systematically understanding the distribution of the household electrical appliances, and then adopting the preset different charging methods according to the electricity consumption time and the electricity consumption.
  • the electricity consumption fee is calculated in the time period, and the user is recommended to the user with the lowest charging method. The user can accurately obtain the best charging method and reasonably reduce the electricity cost for the user.
  • FIG. 1 is a schematic structural diagram of a device in a hardware operating environment according to an embodiment of the present invention.
  • the device in the embodiment of the present invention may be a server or a control center for controlling each home appliance.
  • the apparatus may include a processor 1001, such as a CPU, a network interface 1003, a memory 1004, and a communication bus 1002.
  • the communication bus 1002 is used to implement connection communication between these components.
  • the network interface 1003 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).
  • the memory 1004 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage.
  • the memory 1004 can also optionally be a storage device independent of the aforementioned processor 1001.
  • terminal structure shown in FIG. 1 does not constitute a limitation to the terminal, and may include more or less components than those illustrated, or a combination of certain components, or different component arrangements.
  • the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and a recommendation program of a charging method.
  • the network interface 1003 is mainly used to connect to the background server for data communication with the background server; and the processor 1001 can be used to call the recommended program of the charging method stored in the memory 1004, and perform the following operations. :
  • the recommendation information of the charging method that meets the preset condition for the electricity cost is generated.
  • the processor 1001 may call the recommendation program of the charging method stored in the memory 1004, and further perform the following operations:
  • the recommendation information is generated according to the charging method with the lowest electricity cost.
  • the processor 1001 may call the recommendation program of the charging method stored in the memory 1004, and further perform the following operations:
  • the step of generating the recommendation information according to the charging method with the lowest power consumption fee is performed.
  • the step of outputting the recommendation information includes the processor 1001 calling the recommendation program of the charging mode stored in the memory 1004, and performing the following operations:
  • the recommendation information is generated according to the charging method with the highest frequency of use and the charging method with the lowest power consumption fee.
  • the processor 1001 may call the recommendation program of the charging method stored in the memory 1004, and further perform the following operations:
  • the attributes of the respective charging methods are marked in the recommendation information.
  • the step of outputting the recommendation information includes the processor 1001 calling the recommendation program of the charging method stored in the memory 1004, and performing the following operations. :
  • the processor 1001 may invoke the recommendation program of the charging mode stored in the memory 1004, and further perform the following operations:
  • the step of acquiring the power consumption data in the first preset time interval is performed, wherein the reminding time point is determined according to the user's payment time point.
  • the processor 1001 may invoke the recommendation program of the charging mode stored in the memory 1004, and further perform the following operations:
  • the preset charging method is determined according to the city where the user is located.
  • the recommended method for the power charging method includes:
  • Step S10 Acquire power consumption data in a first preset time interval.
  • the electricity consumption data includes the electricity consumption time and the electricity consumption, and the home appliance periodically uploads the electricity consumption data to the server.
  • the power consumption data of the home appliance in the first predetermined time interval can be obtained in the server.
  • the first preset time interval here may be set by the user, or may be set according to the settlement time of the electricity cost specified by the corresponding electricity collection department of the user's city.
  • step S20 according to the power consumption data, the electricity usage fee of the home appliance in the preset time is sequentially calculated by using each preset charging mode.
  • the time-sharing charging method is to divide the power consumption time into two periods of peak time and low peak time or divide into more time segments, and calculate the electricity cost for each time period with different unit price, all time periods.
  • the sum of the electricity costs within the user is the user's electricity cost this month.
  • the ladder pricing method is to segment the user's electricity consumption, and corresponding to different unit prices at each stage, and add the electricity costs corresponding to all the phases to obtain the user's electricity consumption this month.
  • Different charging methods and corresponding calculation methods are pre-stored in the system, and the pre-existing different charging methods are used to calculate the electricity consumption time and the electricity consumption in a certain period of time, respectively.
  • Step S30 generating recommendation information of the charging method that meets the preset condition by using the electricity cost.
  • the charging cost obtained by using different charging methods or the charging mode that meets certain preset conditions in the specific charging mode is selected.
  • the pre-set conditions are the lowest cost of electricity, the highest frequency of billing, and so on.
  • the power usage fee in the first preset time interval is calculated by using the preset charging method in turn, and the charging mode corresponding to the lowest power consumption fee is selected.
  • the charging mode list used in the history record is updated, and the charging mode with the most frequent occurrence in the list is the charging mode with the highest frequency of use.
  • the recommendation information may include the attributes of the charging mode and the charging mode.
  • the charging mode is the charging mode with the lowest cost, and the corresponding attribute is the lowest cost.
  • the recommendation information may be sent to the preset client, or may be sent to the preset mobile terminal, or may be assisted by the voice broadcast in the display screen of the preset home appliance; or the recommendation information may also be performed by the user. Active query.
  • the power consumption time and the power consumption of the home appliance are first acquired in a preset time period, and the power consumption fee is sequentially calculated according to the power consumption time and the power consumption amount, and the selection is satisfied.
  • the conditional charging method generates recommendation information by using the charging method that meets the preset condition with the electricity cost, and outputs the recommended information for the user to select. According to the time distribution of the amount of electricity used by the home appliance, it is possible to accurately provide the user with a charging method that satisfies certain conditions, and reasonably reduce the cost of electricity for the user.
  • the step S30 includes:
  • Step S31 obtaining a charging method with the lowest power consumption fee
  • step S32 the recommendation information is generated according to the charging method with the lowest power consumption fee.
  • the charging method may include various charging methods such as time-sharing charging, ladder charging, and time-based charging and ladder charging. After obtaining the user fee according to each charging method, each charging cost may be sorted. The charging method with the lowest electricity cost.
  • the preset condition in this embodiment is that the electricity cost is the lowest.
  • the value obtained by calculating the electricity consumption fee by different charging methods is first compared.
  • the smallest value indicates that the electricity cost is the lowest, and the charging method with the lowest electricity cost is obtained, and the charging method is the lowest according to the charging method.
  • the calculated charging method of the lowest power consumption fee is pushed to the user, and the optimal charging method is accurately selected, thereby reasonably reducing the power consumption cost for the user.
  • step S31 further includes the following steps:
  • Step S33 determining whether the charging mode with the lowest power consumption fee is the same as the current charging mode of the user
  • the step S32 is performed, that is, the recommendation information is generated according to the charging mode with the lowest power consumption fee.
  • the similarity of the comparison result is 100%, indicating that the charging method with the lowest electricity cost is the user and the user.
  • the current charging method is the same. Otherwise, the charging method with the lowest power consumption is different from the current charging method of the user.
  • the charging method with the lowest electricity cost is different from the current charging method of the user, the charging method with the lowest power consumption fee is used to generate the recommendation information by the foregoing method.
  • the charging method in the recommendation information to be outputted this time and the charging method used by the user in the calculation of the power consumption fee in the last preset time period are described.
  • the charging mode may be used to generate the recommended information, and the charging mode is directly used as the charging mode for calculating the power consumption fee within the preset time.
  • the obtained minimum charging mode of the electricity cost is compared with the current charging mode of the user, and when the charging mode with the lowest electricity cost is different from the current charging mode of the user, the electricity is used again.
  • the fee is generated by the above method to improve the selection efficiency of the optimal charging method.
  • step S32 includes:
  • the recommendation information is generated according to the charging method with the highest frequency of use and the charging method with the lowest power consumption fee.
  • the most frequently used charging method in the system history record is the user's common charging method.
  • the calculation result corresponding to the charging method is the minimum power consumption cost, or there may be some characteristics.
  • the user will It is selected as the charging method for calculating the electricity cost. Therefore, the recommendation information is jointly generated according to the charging method with the lowest power consumption rate and the charging method with the highest frequency of use in the system history record.
  • attributes of each charging method are marked in the recommendation information.
  • the charging method with the lowest electricity cost and the charging method with the highest frequency are respectively used for attribute tagging, and the recommendation information with the attribute tag is output.
  • the server identifies the charging method selected by other users in the city where the user is located in the preset time interval, and generates the recommended information by using the most used charging method, and sends the recommendation information to the user.
  • the recommendation information is generated according to the charging method with the lowest power consumption rate and the charging method with the highest frequency of use in the system history record, and the attribute of the charging method in the recommendation information is marked, and the recommended recommendation is output. information.
  • the user can comprehensively consider which method to use as the charging method for the electricity cost based on the actual situation.
  • the recommendation information of the charging mode with different attributes is output, so that the selection method of the charging method of the electricity cost is more intelligent, and is convenient to operate and use.
  • step S10 is performed to obtain the first preset time interval.
  • the power consumption data, wherein the reminding time point is determined according to the user's payment time point.
  • the method for determining the reminding time point may be to obtain the payment time point of the user in the second preset time interval, and determine the reminding time point according to the payment time point.
  • the second preset time interval should be greater than the first preset time interval, for example, the second preset time interval is twelve months, and the first preset time interval is one month.
  • the server counts the payment date of the user for each month in the 12 months. When the user pays the monthly payment date multiple times on the 5th, and the remaining payment dates are distributed around the 5th, the monthly number 5 is used as the user. At the time of payment; or, if the user's monthly payment date is scattered on the 3rd, 4th, 5th, and 6th, the monthly number 3 (ie, the highest date) is used as the user's payment time point.
  • the payment time point After receiving the user's payment time point, the payment time point is used as the reminding time point or a fixed time point before the payment time point is used as the reminding time point.
  • the listed users pay the fee on the monthly day in a certain time interval, and select the most common or the most advanced time of the time as the user's payment time point, and the payment time point or the payment time point.
  • a certain fixed time point is used as the reminding time point.
  • the server starts to count the power consumption and power consumption time of the user within the first preset time interval, and calculates each pre-predetermined time.
  • the charging cost obtained by the charging method is pushed to the user by the charging method that satisfies certain conditions. By determining the reminder time, the charging method push time is uniquely determined, and the efficiency of the recommended method of the electricity billing method is improved.
  • step S10 includes:
  • Step S11 determining a city where the user corresponding to the power consumption data is located
  • Step S12 Determine the preset charging mode according to the city where the user is located.
  • the system can obtain the upload address, and the city corresponding to the address, that is, the city where the user is located, can be determined according to the address.
  • the charging mode corresponding to the city stored in the server or the system is pre-stored, and all the corresponding charging modes are set as the preset charging mode.
  • the IoT home appliance uploads the power consumption data to the upload address of the server, determines the city where the user is located, and determines a corresponding preset charging mode according to the city where the user is located.
  • the correct billing method provides the basis for obtaining the best billing method for the electricity cost, and can accurately select the best billing method, and reasonably reduce the electricity cost for the user.
  • the present invention also provides a recommended device for charging by electricity
  • the recommended device for charging by electricity includes: a memory, a processor, and a charging stored on the memory and operable on the processor
  • the selection procedure of the mode when the selection method of the charging method is executed by the processor, implements the steps of the recommended method of the electricity charging method as described above.
  • the present invention also provides a computer readable storage medium, where a charging mode selection program is stored on a computer readable storage medium, and the charging mode selection program is executed by the processor to implement the electricity charging method as described above. The steps of the recommended method.
  • portions of the technical solution of the present invention that contribute substantially or to the prior art may be embodied in the form of a software product stored in a storage medium (such as a ROM/RAM as described above). , a disk, an optical disk, including a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present invention.
  • a terminal device which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

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Abstract

一种用电计费方式的推荐方法、装置及存储介质，获取预设时间内的用电数据（S10），所述用电数据包括用电时间和用电量，根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用（S20），生成用电费用满足预设条件的计费方式的推荐信息（S30）。可以简化了现有技术的复杂操作，正确了解家电用电量的时间分布，准确地选择出最佳的计费方式，合理地为用户降低用电费用。

Description

用电计费方式的推荐方法、装置及存储介质
技术领域
本发明涉及物联网家电领域，尤其涉及一种用电计费方式的推荐方法、装置及存储介质。
背景技术
物联网家电是指将物联网技术应用在空调、电冰箱、洗衣机、电视机等产品。随着科技的发展，物联网家电种类逐渐增多，该类家电更加受到消费者的青睐，被广泛使用。
家电的广泛使用方便生活的同时必然带来一定的用电费用，针对缴纳电费，大多数城市提供多种计费方式，用户可选择其中一种进行用电费用计算，例如，阶梯电价、分时电价等。
现有技术中，往往由用户在网站或APP缴费时手动选择计费方式，用户对计价方式不了解往往不知道哪种计费方式更优惠，可能每次都选择经常使用的计费方式，导致不能每次准确的采用最佳的计费方式进行计费。
发明内容
本发明的主要目的在于提供一种用电计费方式的推荐方法、装置及存储介质，旨在解决现有技术中无法准确地选择出最佳的计费方式为用户降低用电费用的问题。
为实现上述目的，本发明提供一种用电计费方式的推荐方法，所述用电计费方式的推荐方法包括以下步骤：
获取第一预设时间间隔内的用电数据；
根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
生成用电费用满足预设条件的计费方式的推荐信息。
可选地，所述生成用电费用满足预设条件的计费方式的推荐信息的步骤包括：
获取用电费用最低的计费方式；
根据用电费用最低的计费方式生成推荐信息。
可选地，所述根据用电费用最低的计费方式生成推荐信息的步骤之前，还包括：
判断用电费用最低的计费方式与用户当前的计费方式是否相同；
当用电费用最低的计费方式与用户当前的计费方式不同时，执行所述根据用电费用最低的计费方式生成推荐信息的步骤。
可选地，所述根据用电费用最低的计费方式生成推荐信息的步骤包括：
获取使用频率最高的计费方式；
根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息。
可选地，所述获取使用频率最高的计费方式的步骤包括：
获取计费方式列表中出现次数最多的计费方式，其中，在获取到预设时间内家电的用电数据时，对历史记录中已使用的计费方式列表进行更新；
将出现次数最多的所述计费方式作为使用频率最高的计费方式。
可选地，所述根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息的步骤之后，所述用电计费方式的推荐方法还包括：
在所述推荐信息中标记各个计费方式的属性。
可选地，所述用电计费方式的推荐方法还包括：
将所述推荐信息发送至预设的移动终端。
可选地，在所述获取第一预设时间间隔内的用电数据的步骤之前，还包括：
在到达提醒时间点时，执行所述获取第一预设时间间隔内的用电数据的步骤，其中，根据用户的缴费时间点确定所述提醒时间点。
可选地，所述用电计费方式的推荐方法还包括：
获取第二预设时间间隔内用户的缴费时间点，根据缴费时间点确定提醒时间点。
可选地，在所述获取第一预设时间间隔内的用电数据的步骤之后，还包括：
确定所述用电数据对应的用户所在城市；
根据用户所在城市确定所述预设的计费方式。
此外，为实现上述目的，本发明还提供一种用电计费方式的推荐方法的装置，所述用电计费方式的推荐方法的装置包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计费方式的推荐程序，所述计费方式的推荐程序被所述处理器执行时实现用电计费方式的推荐方法，所述用电计费方式的推荐方法包括步骤：
获取第一预设时间间隔内的用电数据；
根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
生成用电费用满足预设条件的计费方式的推荐信息。
此外，为实现上述目的，本发明还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计费方式的推荐程序，所述计费方式的推荐程序被处理器执行时实现用电计费方式的推荐方法，所述用电计费方式的推荐方法包括步骤：
获取第一预设时间间隔内的用电数据；
根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
生成用电费用满足预设条件的计费方式的推荐信息。。
本发明实施例提出的用电计费方式的推荐方法、装置及存储介质，首先获取一段时间内家电的用电量和用电时间，系统地了解家电用电分布，然后采用预设的不同计费方式根据用电时间和用电量对该时间段内的用电费用进行计算，将用电费最低的计费方式推荐给用户，用户可以准确地得到最佳的计费方式，合理地为用户降低用电费用。
附图说明
图1是本发明实施例方案涉及的硬件运行环境的装置结构示意图；
图2为本发明用电计费方式的推荐方法第一实施例的流程示意图；
图3为本发明用电计费方式的推荐方法第二实施例中生成推荐信息的步骤的细化流程示意图；
图4为本发明用电计费方式的推荐方法第三实施例中生成推荐信息的步骤的细化流程示意图；
图5为本发明用电计费方式的推荐方法第六实施例的流程示意图。
本发明目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本发明实施例的主要解决方案是：
获取第一预设时间间隔内的用电数据；
根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
生成用电费用满足预设条件的计费方式的推荐信息。
由于现有技术中用户对计价方式不了解往往不知道哪种计费方式更优惠，可能每次都选择经常使用的计费方式，导致不能每次准确的采用最佳的计费方式进行计费。
本发明提供一种解决方案，首先获取一段时间内家电的用电量和用电时间，系统地了解家电用电分布，然后采用预设的不同计费方式根据用电时间和用电量对该时间段内的用电费用进行计算，将用电费最低的计费方式推荐给用户，用户可以准确地得到最佳的计费方式，合理地为用户降低用电费用。
如图1所示，图1是本发明实施例方案涉及的硬件运行环境的装置结构示意图。
本发明实施例装置可以是服务器，也可以是控制各个家电的控制中心。
如图1所示，该装置可以包括：处理器1001，例如CPU，网络接口1003，存储器1004，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。网络接口1003可选的可以包括标准的有线接口、无线接口（如WI-FI接口）。存储器1004可以是高速RAM存储器，也可以是稳定的存储器（non-volatile memory），例如磁盘存储器。存储器1004可选的还可以是独立于前述处理器1001的存储装置。
本领域技术人员可以理解，图1中示出的终端结构并不构成对终端的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及计费方式的推荐程序。
在图1所示的终端中，网络接口1003主要用于连接后台服务器，与后台服务器进行数据通信；而处理器1001可以用于调用存储器1004中存储的计费方式的推荐程序，并执行以下操作：
获取第一预设时间间隔内的用电数据；
根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
生成用电费用满足预设条件的计费方式的推荐信息。
进一步地，在获取第一预设时间间隔内的用电数据的步骤之前，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
获取用电费用最低的计费方式；
根据用电费用最低的计费方式生成推荐信息。
进一步地，在获取第一预设时间间隔内的用电数据的步骤之后，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
判断用电费用最低的计费方式与用户当前的计费方式是否相同；
当用电费用最低的计费方式与用户当前的计费方式不同时，执行所述根据用电费用最低的计费方式生成推荐信息的步骤。
进一步地，在生成用电费用满足预设条件的计费方式的推荐信息，输出所述推荐信息的步骤包括，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，执行以下操作：
获取使用频率最高的计费方式；
根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息。
进一步地，在根据用电费用最小的计费方式生成推荐信息的步骤之前，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
在所述推荐信息中标记各个计费方式的属性。
进一步地，在生成用电费用满足预设条件的计费方式的推荐信息，输出所述推荐信息的步骤包括，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
将所述推荐信息发送至预设的移动终端。
进一步地，在依据计费方式的属性标记所述推荐信息的步骤之后，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
在到达提醒时间点时，执行所述获取第一预设时间间隔内的用电数据的步骤，其中，根据用户的缴费时间点确定所述提醒时间点。
进一步地，在依据计费方式的属性标记所述推荐信息的步骤之后，处理器1001可以调用存储器1004中存储的计费方式的推荐程序，还执行以下操作：
确定所述用电数据对应的用户所在城市；
根据用户所在城市确定所述预设的计费方式。
参照图2，本发明用电计费方式的推荐方法第一实施例，所述用电计费方式的推荐方法包括：
步骤S10，获取第一预设时间间隔内的用电数据。
用电数据包括用电时间和用电量，家电会定期将用电数据上传于服务器。可以在服务器中获取第一预定时间间隔内家电的用电数据。此处的第一预设时间间隔可以是用户自行设置，也可以是系统根据用户所在城市相应的电费收缴部门规定的用电费用结算时间进行设定。
步骤S20，根据用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用。
一般地，用电费用的计费方式有很多种，多种计费方式的基础是分时计价和阶梯计价。分时计价的计费方式，是对用电时间划分为高峰时间和低峰时间两段或者划分为更多时间段，对每个时间段进行不同的单价进行用电费用的计算，所有时间段内的用电费用之和即为用户本月的用电费用。阶梯计价的计费方式，是对用户的用电量进行分段计费，在每一阶段对应不同的单价，将所有阶段对应的用电费用相加得到用户本月的用电费用。
在系统中预存有不同的计费方式及其对应的具体计算方法，分别用预存的不同计费方式对采集到的一定时间内的用电时间和用电量进行用电费用的计算，分别得到计费方式相对应的用电费用。
步骤S30，生成用电费用满足预设条件的计费方式的推荐信息。
将采用不同计费方式得到的用电费用或者是具体的计费方式中满足一定预设条件的计费方式选出。通常预设的条件有得到的用电费用最低、该计费使用的频率最高等等。依次用预设的计费方式计算第一预设时间间隔内的用电费用，选择出最低用电费用对应的计费方式。在获取预设时间内家电的用电数据时，对历史记录中已使用的计费方式列表进行更新，获取列表中出现次数最多的计费方式即为使用频率最高的计费方式。
推荐信息中可包括计费方式和计费方式的属性，例如计费方式为费用最低的计费方式，则对应的属性为费用最低。推荐信息可发送至预设客户端，也可以向预设移动终端发送该推荐信息，还可以在预设家用电器的显示屏中，采用语音播报进行的辅助提醒；或者该推荐信息也可由用户进行主动查询。
在本实施例中首先获取预先设定的时间段内家电的用电时间和用电量，根据用电时间和用电量，运用预先设定的计费方式依次计算用电费用，选择满足预设条件的计费方式，将用电费用满足预设条件的计费方式生成推荐信息，并将该推荐信息输出，供用户选择。能够根据家电用电量的时间分布，准确地为用户提供满足特定条件的计费方式，合理地为用户降低用电费用。
进一步地，参照图3，本发明用电计费方式的推荐方法第二实施例，在本实施例中步骤S30包括：
步骤S31，获取用电费用最低的计费方式；
步骤S32，根据用电费用最低的计费方式生成推荐信息。
计费方式可包括分时计费、阶梯计费以及分时计费和阶梯计费结合等多种计费方式，在根据各个计费方式得到用户费用后，可对各个用电费用进行排序得到用电费用最低的计费方式。在本实施例中的预设条件为用电费用最低。
在本实施例中首先比较不同计费方式计算用电费用所得到的数值，数值最小的即说明用电费用最低，获取用电费用最低的计费方式，根据用电费用最低的计费方式编辑推荐信息，并将该推荐信息输出。将计算出的最低用电费用的计费方式推送给用户，准确地选择出最佳的计费方式，合理地为用户降低用电费用。
进一步地，参照图4，基于第二实施例提出本发明用电计费方式的推荐方法第三实施例，在本实施例中，所述步骤S31之后还包括步骤：
步骤S33，判断用电费用最低的计费方式与用户当前的计费方式是否相同；
当用电费用最低的计费方式与用户当前的计费方式不同时，执行所述步骤S32，即根据用电费用最低的计费方式生成推荐信息。
判断用电费用最低的计费方式与用户当前的计费方式是否相同，可将两种方式进行文本比对，比对结果相似度达100%，则说明用电费用最低的计费方式与用户当前的计费方式相同，否则说明用电费用最小的计费方式与用户当前的计费方式不同。
当用电费用最小的计费方式与用户当前的计费方式不同时，再将用电费用最低的计费方式通过前述方法生成推荐信息。
当用电费用最低的计费方式与用户当前的计费方式相同时，说明本次将要输出的推荐信息中的计费方式与上一预设时间内用电费用计算中用户所使用的计费方式相同，为简化计费方式选择流程，可以不进行将该计费方式生成推荐信息的操作，直接采用该计费方式作为用户本次预设时间内的计算用电费用的计费方式。
在本实施例中，将获得的用电费用最小计费方式与用户当前的计费方式进行比对，当用电费用最低的计费方式与用户当前的计费方式不同时，再将用电费用通过上述方法生成推荐信息，提高最佳计费方式的选择效率。
进一步地，基于第二或第三实施例提出本发明用电计费方式的推荐方法第四实施例，在本实施例中，步骤S32包括：
获取使用频率最高的计费方式；
根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息。
系统历史记录中使用频率最高的计费方式为用户的常用计费方式，通常是由于该计费方式多次对应的计算结果为最低用电费用，或者是可能存在某种特性，用户多次将其选为计算用电费用的计费方式。故根据用电费用最低的计费方式和系统历史记录中使用频率最高的计费方式共同生成推荐信息。
进一步地，为便于用户识别，在所述推荐信息中标记各个计费方式的属性
在推荐信息中用电费用最小的计费方式和使用频率最高的计费方式分别进行属性标记，将带有属性标记的推荐信息输出。
进一步地，服务器识别用户所在城市的其它用户在本预设时间间隔内所选择的计费方式，将使用人数最多的计费方式生成推荐信息，发送给用户。
在本实施例中，同时根据用电费用最低的计费方式和系统历史记录中使用频率最高的计费方式进行推荐信息的生成，并标记推荐信息中计费方式的属性，输出标记后的推荐信息。用户结合实际情况可综合考虑选择哪种方式作为用电费用的计费方式。输出具有不同属性的计费方式的推荐信息，使得用电费用的计费方式的选择方法更加智能，便于操作和使用。
进一步地，基于上述任一实施例提出本发明用电计费方式的推荐方法第五实施例，在本实施例中，在到达提醒时间点时，执行步骤S10即获取第一预设时间间隔内的用电数据，其中，根据用户的缴费时间点确定所述提醒时间点。
确定提醒时间点的方式可为获取第二预设时间间隔内用户的缴费时间点，根据缴费时间点确定提醒时间点。
第二预设时间间隔应大于第一预设时间间隔，例如在第二预设时间间隔为十二个月，第一预设时间间隔为一个月。服务器统计这十二个月内每个月用户的缴费日期，当用户每个月的缴费日期多次都在五号，其余的缴费日期分布在五号前后，则将每月五号作为用户的缴费时间点；或者，用户每月的缴费日期散乱分布在三号、四号、五号和六号，则将每月三号（即最靠前的日期）作为用户的缴费时间点。
得到用户缴费时间点后，将缴费时间点作为提醒时间点或者将缴费时间点前的某一固定时间点作为提醒时间点。
在本实施例中，罗列用户在一定时间间隔内是在每月的那天进行缴费，选择其中最常用或者是时间最靠前的那天为用户的缴费时间点，将缴费时间点或者缴费时间点前的某一固定时间点作为提醒时间点，确定提醒时间点之后，每当到达该提醒时间点，服务器开始统计第一预设时间间隔内的用户的用电量和用电时间，计算每一预设的计费方式得到的用电费用，将满足一定条件的计费方式推送给用户。通过确定提醒时间，唯一确定计费方式推送时间，提高用电计费方式的推荐方法效率。
进一步地，参照图5，基于上述任一实施例提出本发明用电计费方式的推荐方法第六实施例，在本实施例中，步骤S10包括：
步骤S11，确定所述用电数据对应的用户所在城市；
步骤S12，根据用户所在城市确定所述预设的计费方式。
由于每个城市的用电需求、供电能力、城市发展水平等方面存在差异，通常不同城市的电费收缴部门所采用的用电费用的计费方式以及每个阶段的单价均不完全相同。所以在计算用户的家电用电费用时有必要先获取用户所在城市。
在物联网家电将用电数据上传到据服务器的时候，系统可获得上传地址，根据地址可以判断该地址对应的城市，即用户所在城市。
获取用户所在城市之后，提取服务器中或者是系统预存的与该城市相对应的计费方式，并将所有对应的计费方式设定为预设的计费方式。
在本实施例中，通过物联网家电将用电数据上传到服务器的上传地址，确定用户所在城市，并根据用户所在城市确定相应的预设计费方式。正确的计费方式，为获得用电费用的最佳计费方式提供基础，可准确地选择出最佳的计费方式，合理地为用户降低用电费用。
此外，本发明还提出一种用电计费方式的推荐装置，用电计费方式的推荐装置包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计费方式的选择程序，计费方式的选择程序被处理器执行时实现如上所述的用电计费方式的推荐方法的步骤。
此外，本发明还提出一种计算机可读存储介质，计算机可读存储介质上存储有计费方式的选择程序，计费方式的选择程序被处理器执行时实现如上所述的用电计费方式的推荐方法的步骤。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本发明各个实施例所述的方法。
以上仅为本发明的优选实施例，并非因此限制本发明的专利范围，凡是利用本发明说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本发明的专利保护范围内。

Claims (12)

  1. 一种用电计费方式的推荐方法，其中，所述用电计费方式的推荐方法包括以下步骤：
    获取第一预设时间间隔内的用电数据；
    根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
    生成用电费用满足预设条件的计费方式的推荐信息。
  2. 如权利要求1所述的用电计费方式的推荐方法，其中，所述生成用电费用满足预设条件的计费方式的推荐信息的步骤包括：
    获取用电费用最低的计费方式；
    根据用电费用最低的计费方式生成推荐信息。
  3. 如权利要求2所述的用电计费方式的推荐方法，其中，所述根据用电费用最低的计费方式生成推荐信息的步骤之前，还包括：
    判断用电费用最低的计费方式与用户当前的计费方式是否相同；
    当用电费用最低的计费方式与用户当前的计费方式不同时，执行所述根据用电费用最低的计费方式生成推荐信息的步骤。
  4. 如权利要求2所述的用电计费方式的推荐方法，其中，所述根据用电费用最低的计费方式生成推荐信息的步骤包括：
    获取使用频率最高的计费方式；
    根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息。
  5. 如权利要求4所述的用电计费方式的推荐方法，其中，所述根据使用频率最高的计费方式和用电费用最低的计费方式生成推荐信息的步骤之后，所述用电计费方式的推荐方法还包括：
    在所述推荐信息中标记各个计费方式的属性。
  6. 如权利要求4所述的用电计费方式的推荐方法，其中，所述获取使用频率最高的计费方式的步骤包括：
    获取计费方式列表中出现次数最多的计费方式，其中，在获取到预设时间内家电的用电数据时，对历史记录中已使用的计费方式列表进行更新；
    将出现次数最多的所述计费方式作为使用频率最高的计费方式。
  7. 如权利要求1所述的用电计费方式的推荐方法，其中，所述用电计费方式的推荐方法还包括：
    将所述推荐信息发送至预设的移动终端。
  8. 如权利要求1所述的用电计费方式的推荐方法，其中，在所述获取第一预设时间间隔内的用电数据的步骤之前，还包括：
    在到达提醒时间点时，执行所述获取第一预设时间间隔内的用电数据的步骤，其中，根据用户的缴费时间点确定所述提醒时间点。
  9. 如权利要求8所述的用电计费方式的推荐方法，其中，所述用电计费方式的推荐方法还包括：
    获取第二预设时间间隔内用户的缴费时间点，根据缴费时间点确定提醒时间点。
  10. 如权利要求1所述的用电计费方式的推荐方法，其中，在所述获取第一预设时间间隔内的用电数据的步骤之后，还包括：
    确定所述用电数据对应的用户所在城市；
    根据用户所在城市确定所述预设的计费方式。
  11. 一种用电计费方式的推荐方法的装置，其中，所述用电计费方式的推荐装置包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计费方式的推荐程序，所述计费方式的选择推荐被所述处理器执行时实现用电计费方式的推荐方法，所述用电计费方式的推荐方法包括步骤：
    获取第一预设时间间隔内的用电数据；
    根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
    生成用电费用满足预设条件的计费方式的推荐信息。
  12. 一种计算机可读存储介质，其中，所述计算机可读存储介质上存储有计费方式的推荐程序，所述计费方式的推荐程序被处理器执行时实现用电计费方式的推荐方法，所述用电计费方式的推荐方法包括步骤：
    获取第一预设时间间隔内的用电数据；
    根据所述用电数据，采用各个预设的计费方式依次计算家电在预设时间内的用电费用；
    生成用电费用满足预设条件的计费方式的推荐信息。
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