WO2019062199A1 - Procédé et dispositif de recommandation de mode de charge de consommation d'énergie et support de stockage - Google Patents

Procédé et dispositif de recommandation de mode de charge de consommation d'énergie et support de stockage 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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WO
WIPO (PCT)
Prior art keywords
charging
power consumption
charging method
electricity
preset
Prior art date
Application number
PCT/CN2018/090327
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English (en)
Chinese (zh)
Inventor
樊其锋
黑继伟
Original Assignee
广东美的制冷设备有限公司
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Publication of WO2019062199A1 publication Critical patent/WO2019062199A1/fr

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Classifications

    • 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
    • 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

L'invention concerne un procédé et un dispositif de recommandation d'un mode de charge de consommation d'énergie, et un support de stockage, le procédé consistant à : acquérir des données de consommation d'énergie dans le temps prédéfini (S10), les données de consommation d'énergie comprenant le temps de consommation d'énergie et une quantité de consommation d'énergie ; en fonction des données de consommation d'énergie, utiliser chaque mode de charge prédéfini pour calculer les coûts de consommation d'énergie d'un appareil domestique dans le temps prédéfini (S20); et générer des informations de recommandation pour un mode de charge par lequel les coûts de consommation d'énergie calculés satisfont une condition prédéfinie (S30). La présente invention peut simplifier des opérations complexes dans l'état de la technique, acquérir une distribution temporelle précise de la consommation d'énergie d'un appareil domestique et choisir précisément le mode de charge optimal, et réduire de manière appropriée les coûts de consommation d'énergie pour un utilisateur.
PCT/CN2018/090327 2017-09-30 2018-06-08 Procédé et dispositif de recommandation de mode de charge de consommation d'énergie et support de stockage WO2019062199A1 (fr)

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CN109508858A (zh) * 2018-09-30 2019-03-22 国网安徽省电力有限公司经济技术研究院 一种分时阶梯电价政策下居民家庭用电干预策略推荐方法
CN110458387A (zh) * 2019-06-27 2019-11-15 广东电网有限责任公司信息中心 一种基于机器学习技术的智能电网信息管理方法及系统
CN110956289A (zh) * 2019-12-16 2020-04-03 深圳市元征科技股份有限公司 一种设备使用模式的推荐方法及设备
CN112101901A (zh) * 2020-09-14 2020-12-18 北京嘀嘀无限科技发展有限公司 支付提醒方法、装置、系统、用户终端及服务器
CN112464089A (zh) * 2020-11-25 2021-03-09 上海电力大学 一种共享物品推荐方法及存储介质
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