CN111198504A - Management method, device, system and medium for intelligent household system - Google Patents
Management method, device, system and medium for intelligent household system Download PDFInfo
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- CN111198504A CN111198504A CN201811381501.3A CN201811381501A CN111198504A CN 111198504 A CN111198504 A CN 111198504A CN 201811381501 A CN201811381501 A CN 201811381501A CN 111198504 A CN111198504 A CN 111198504A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The present disclosure provides a management method for an intelligent home system, including: acquiring the electricity price information of a power grid connected with the intelligent home system; and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a system, and a medium for managing an intelligent home system.
Background
With the rapid development of science and technology and the gradual improvement of life quality of people, smart homes gradually come into thousands of households. The intelligent home system generally refers to a high-efficiency, comfortable, safe and convenient living environment which is based on the family residence, the communication network and the internal intelligent equipment and has the functions of equipment automation and intelligent management.
In the prior art, an intelligent home system generally performs intelligent management according to a mode of "user setting + device self-setting optimization". In the case of an air conditioner, the target temperature is usually determined by a user according to personal needs, and belongs to a user setting part, and the indoor temperature fluctuation is periodically controlled by an intelligent program. Similarly, the washing machine is set by the user according to personal requirements, and the specific working process is automatically completed.
However, in the course of implementing the disclosed concept, the inventor finds that at least the following problems exist in the prior art, namely, the management scheme of the prior art does not consider the power consumption of each device and the load condition of the power grid, and can not realize good interaction with the power grid.
Disclosure of Invention
In view of this, the present disclosure provides a management method and device for an optimized smart home system.
One aspect of the present disclosure provides a management method for an intelligent home system, including: the method comprises the steps of obtaining electricity price information of a power grid connected with the intelligent home system, and determining working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
According to an embodiment of the present disclosure, the above-mentioned electricity price information includes electricity price information and/or power grid contract compensation information.
According to an embodiment of the present disclosure, the method further includes: the method comprises the steps of obtaining configuration information and user expectation information, wherein the configuration information is used for configuring working time and/or working parameters of at least one intelligent device, the user expectation information can represent the power utilization requirements of a user, and the power utilization requirements comprise comfortable requirements, economic requirements or balanced requirements. The determining the working time and/or the working parameters of at least one intelligent device in the intelligent home system based on the electricity price information includes: and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information and the electricity price information.
According to an embodiment of the present disclosure, the determining the working time and/or the working parameter of at least one smart device in the smart home system based on the configuration information, the user expectation information, and the electricity rate information includes: respectively determining a first weight and a second weight for the configuration information and the electricity price information based on the user expectation information, and determining the working time and/or the working parameters of at least one intelligent device in the intelligent home system based on the configuration information and the first weight thereof and the electricity price information and the second weight thereof.
According to the embodiment of the disclosure, when the user expectation information indicates that the user power demand is a comfortable demand, the first weight is greater than the second weight, and when the user expectation information indicates that the user power demand is an economical demand, the first weight is less than the second weight.
According to an embodiment of the present disclosure, the method further includes: environmental information and/or historical data is obtained. The determining the working time and/or the working parameter of at least one intelligent device in the intelligent home system based on the configuration information, the user expectation information and the electricity price information includes: determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information, the electricity price information and the environment information and/or historical data.
According to an embodiment of the present disclosure, the method further includes: and when the environmental information meets the preset conditions, reminding the user.
Another aspect of the present disclosure provides a management apparatus for a smart home system, including a first obtaining module and a determining module. The first obtaining module obtains electricity price information of a power grid connected with the intelligent home system. The determining module determines the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
According to an embodiment of the present disclosure, the above-mentioned electricity price information includes electricity price information and/or power grid contract compensation information.
According to an embodiment of the present disclosure, the apparatus further includes: the second obtaining module is used for obtaining configuration information and user expectation information, wherein the configuration information is used for configuring the working time and/or working parameters of at least one intelligent device, the user expectation information can represent the demand of a user on power utilization, and the power utilization demand comprises comfortable demand, economic demand or balanced demand. The determining module is further configured to: and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information and the electricity price information.
According to an embodiment of the present disclosure, the determining the working time and/or the working parameter of at least one smart device in the smart home system based on the configuration information, the user expectation information, and the electricity rate information includes: respectively determining a first weight and a second weight for the configuration information and the electricity price information based on the user expectation information, and determining the working time and/or the working parameters of at least one intelligent device in the intelligent home system based on the configuration information and the first weight thereof and the electricity price information and the second weight thereof.
According to the embodiment of the disclosure, when the user expectation information indicates that the user power demand is a comfortable demand, the first weight is greater than the second weight, and when the user expectation information indicates that the user power demand is an economical demand, the first weight is less than the second weight.
According to an embodiment of the present disclosure, the apparatus further includes: and the third acquisition module acquires the environmental information and/or the historical data. The determining module is further configured to: determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information, the electricity price information and the environment information and/or historical data.
According to an embodiment of the present disclosure, the apparatus further includes: and the reminding module is used for reminding the user when the environmental information meets the preset conditions.
Another aspect of the present disclosure provides a management system of a smart home system, including: one or more memories storing executable instructions and one or more processors executing the executable instructions to implement the methods described above.
Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.
Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.
According to the embodiment of the disclosure, the problem that good interaction with a power grid cannot be realized when the power utilization condition and the power grid load condition of each intelligent device are not considered in the process of managing the intelligent home system in the prior art can be at least partially solved, and therefore friendly interaction with the power grid can be realized, and a better use experience is provided for users.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
fig. 1 schematically illustrates an application scenario of a management method and apparatus for a smart home system according to an embodiment of the present disclosure;
fig. 2 schematically shows a flowchart of a management method of a smart home system according to an embodiment of the present disclosure;
fig. 3 schematically shows a flowchart of a management method of a smart home system according to another embodiment of the present disclosure;
fig. 4 schematically shows a flowchart of a management method of a smart home system according to still another embodiment of the present disclosure;
fig. 5A and 5B schematically illustrate a block diagram of a management apparatus of a smart home system according to an embodiment of the present disclosure;
fig. 6 schematically shows a block diagram of a management system of the smart home system according to an embodiment of the present disclosure.
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms. For example, the phrase "a or B" should be understood to include the possibility of "a" or "B", or "a and B".
The embodiment of the disclosure provides a management method of an intelligent home system, which includes: the method comprises the steps of obtaining electricity price information of a power grid connected with the intelligent home system, and determining working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
Fig. 1 schematically illustrates an application scenario 100 of a management method and apparatus for a smart home system according to an embodiment of the present disclosure.
As shown in fig. 1, an application scenario 100 according to an embodiment of the present disclosure may include a smart home system 110 and an electronic device 120.
In the embodiment of the present disclosure, the smart home system 110 and the electronic device 120 may implement a communication connection, for example, various types of communication connections such as a wired communication link, a wireless communication link, or an optical fiber cable may be implemented. The user may set or view the smart home system 110 through the electronic device 120.
The smart home system 110 may include various smart devices, which may include, for example, various smart devices such as air conditioners, washing machines, refrigerators, water heaters, WiFi, lights, and so on.
The electronic device 120 may be a user terminal, and may be various electronic devices such as a smart phone, a tablet computer, a laptop portable computer, a desktop computer, and the like. The electronic device 120 of the disclosed embodiment may also be a processing unit or the like disposed in a smart device.
It should be noted that the management method of the smart home system provided by the embodiment of the present disclosure may be generally executed by the electronic device 120. Accordingly, the management apparatus of the smart home system provided by the embodiment of the present disclosure may be generally disposed in the electronic device 120. The management method of the smart home system provided by the embodiment of the present disclosure may also be executed by a server or a server cluster that is different from the electronic device 120 and can communicate with the smart home system 110 and/or the electronic device 120. Correspondingly, the management apparatus of the smart home system provided in the embodiment of the present disclosure may also be disposed in a server or a server cluster that is different from the electronic device 120 and can communicate with the smart home system 110 and/or the electronic device 120.
It should be noted that fig. 1 is only an example of an application scenario in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
Fig. 2 schematically shows a flowchart of a management method of an intelligent home system according to an embodiment of the present disclosure.
As shown in fig. 2, the method includes operations S201 to S202.
In operation S201, power rate information of a power grid connected to the smart home system is acquired.
In operation S202, an operating time and/or an operating parameter of at least one smart device in the smart home system is determined based on the electricity rate information.
According to the embodiment of the disclosure, the electricity price information and/or the power grid contract compensation information of the power grid connected with the smart home system can be acquired.
The electricity price information may include, for example, electricity price data within the future 24 hours issued by the power grid, or may also include electricity price data of an electricity gradient corresponding to the user, and the like, for example, if the electricity usage situation of the user is at the first elevator degree, the corresponding electricity price is lower, and if the electricity usage situation of the user is at the second elevator degree, the corresponding electricity price is higher.
The power grid contract compensation information may include, for example, a future expected adjustment power value and a power price compensation value issued by the power grid. For example, when the power grid is in a peak period of power utilization, the user can reduce the power utilization and reduce the power utilization, so that the power utilization of the user is guided by means of power price compensation.
The working time and/or working parameters of each intelligent device can be determined according to the electricity price information of the power grid. The working time may be, for example, the time when the intelligent device starts to work, for example, the time when the water heater starts to boil water, the time when the washing machine starts to wash clothes, the time when the air conditioner starts to cool, and the like. The operating parameters may be, for example, water heater to 70 deg.c, washing machine to operate in fast wash mode, air conditioner to operate at 26 deg.c, etc.
In the embodiment of the present disclosure, the operating time and/or operating parameters of all the smart devices may be adjusted according to the electricity price information of the power grid, for example, the cooling temperature of the air conditioner may be increased, the operation of the washing machine may be stopped, and the brightness of the electric lamp may be dimmed when the electricity price is higher. Or when the electricity price is lower, the refrigeration temperature of the air conditioner is reduced, the washing machine is started to work, the brightness of the electric lamp is adjusted, and the like. Or reducing the power consumption power, increasing the refrigeration temperature of the air conditioner, stopping the work of the washing machine, dimming the brightness of the electric lamp and the like when the power value is expected to be adjusted according to the power grid contract compensation information.
In the embodiment of the present disclosure, the operating time and/or the operating parameters of the smart device of the part may also be adjusted according to the electricity price information of the power grid. For example, only the operation of the washing machine is stopped when the electricity price is high, the temperature of the air conditioner and the brightness of the electric lamp are not adjusted, and the like.
In the disclosed embodiments, each smart device may also be configured with a weight that is influenced by price. For example, if the air conditioner is most heavily influenced by the electricity prices, the air conditioner operates at a high power when the electricity prices are low, and operates at a low power or does not operate when the electricity prices are high. For example, the weight of the lamp affected by the electricity price is the lowest, and the brightness of the lamp may not be adjusted regardless of the electricity price, or may be finely adjusted according to the fluctuation of the electricity price, and the like.
According to the embodiment of the disclosure, the smart devices can be classified into class a devices and class B devices. The class a device may be, for example, an intelligent device that does not need to be continuously adjusted when there is a work requirement, such as a water heater, electric vehicle charging, a washing machine, and the like, and the class a device generally has a work duration requirement and does not need to be adjusted at any time. Class B devices may be, for example, smart devices that require constant adjustment in the presence of work demands, such as air conditioners, electric lights, etc., which typically require adjustment based on user experience. The embodiment of the disclosure can configure a higher influence weight for the class-A equipment and a lower influence weight for the class-B equipment, so that the class-A equipment can be influenced more by electricity price, can select to work when the electricity price is lower, and is friendly to and interactive with a power grid, and the class-B equipment can be influenced less by the electricity price, so that the comfort level of a user can be considered preferentially, and the user experience is improved.
According to the embodiment of the disclosure, the working time and/or working parameters of each intelligent device are determined by considering the electricity price information, friendly interaction with a power grid can be realized, the pressure of the power grid in a peak period is relieved, and meanwhile, more reference values can be provided for a user management intelligent home system so as to improve user experience.
Fig. 3 schematically shows a flowchart of a management method of a smart home system according to another embodiment of the present disclosure.
As shown in fig. 3, the method includes operation S201 and operations S301 to S302. Operation S201 is the same as or similar to the method described above with reference to fig. 2, and is not described herein again.
In operation S301, configuration information and user expectation information are obtained, where the configuration information is used to configure working time and/or working parameters of at least one smart device, and the user expectation information can represent a user' S demand for power consumption, where the power consumption demand includes a comfort demand, an economic demand, or a balance demand.
In operation S302, an operating time and/or an operating parameter of at least one smart device in the smart home system is determined based on the configuration information, the user expectation information, and the electricity rate information.
According to the embodiment of the disclosure, the configuration information may be initialization configuration information of the smart home system, and the configuration information may also be configuration information input by a user. For example, the air conditioner can be configured to operate at 26 ℃, the washing machine can be configured to start to operate at 3 pm, the water heater can be configured to start to boil water at 5 pm, the lamp can start to emit light at 7 pm, the light-emitting brightness of the lamp can be configured, and the like.
In the embodiment of the present disclosure, the configuration information may include scene configuration information and detailed mode configuration information. The scene configuration can be quickly configured through preset scenes, for example, common scenes such as weekends, workdays, home-returning, meals, sleeping and the like are quickly configured. For example, the scene of going home may include lighting on at home, air conditioning on, etc.; the dining scene can comprise the opening of restaurant lamplight, the opening of a restaurant air conditioner and the like; the sleep scenes may include the unified turn off of indoor lighting, the turn on of night lights, the turn off of curtains, the moderate reduction of air conditioning temperature, etc. The detailed mode configuration information may configure the standalone smart device, including but not limited to a washing machine expected completion time, a washing machine allowed run time, an electric vehicle expected usage time, a water heater expected operating temperature, an air conditioner daily schedule curve, a light daily schedule curve, and the like.
The user desired information may be a power demand set by the user, for example, the user may select a comfortable power demand, an economical power demand, a balanced power demand, and the like.
In the embodiment of the present disclosure, a user may set an overall power demand, and may also set a power demand of each smart device, for example, set an air conditioner to a comfortable power demand, set a washing machine to an economical power demand, and the like. Alternatively, the class a device may be set to an economical power demand, and the class B device may be set to a comfortable power demand.
According to the embodiment of the disclosure, the first weight and the second weight can be respectively determined for the configuration information and the electricity price information based on the user expectation information, and the working time and/or the working parameters of at least one intelligent device in the intelligent home system can be determined based on the configuration information, the first weight thereof, the electricity price information and the second weight thereof.
For example, the first weight may be greater than the second weight when the user desired information indicates that the user power demand is a comfortable demand, the first weight may be less than the second weight when the user desired information indicates that the user power demand is an economical demand, and the first weight may be approximately equal to the second weight when the user desired information indicates that the user power demand is a balanced demand. The specific weight assignment may be set by a person skilled in the art according to actual situations, and is not limited in the embodiment of the present disclosure.
For example, the embodiment of the disclosure may perform optimization calculation based on a pareto frontier multi-objective optimization algorithm, and determine the working time and/or working parameters of the smart device. Wherein the user desired information may influence the final pareto front optimal target point selection. For example, the comfort requirement may preferentially meet the working time and/or working parameters of each smart device configured by the user, such as the starting time of a water heater, the charging time of an electric vehicle, the working temperature of an air conditioner under the condition of the highest comfort level of the user, the working brightness of an electric lamp, and the like. The economic demand can preferentially determine the working time and/or working parameters of each intelligent device according to the electricity price information, for example, the electricity price information such as the lowest electricity price and the highest electricity price compensation is preferentially considered, and the electricity demand of the user is secondarily considered, such as the vehicle using time, the water using time, the acceptable temperature adjusting range of the user, the brightness adjusting range and the like.
The embodiment of the disclosure can also receive user feedback information, and if the current working mode of the intelligent device cannot meet the user requirement, the user can input the feedback information, so that the working parameters or time of each intelligent device can be determined again according to the feedback information. For example, the user may feed back overheating, overcooling, overdrying, overdriving, dimming, etc., and the operating parameters of the corresponding smart device may be adjusted according to the user's feedback information. It can be understood that the working time and/or working parameters of each intelligent device are adjusted according to the user feedback information, so that the complexity of setting the intelligent device by a user is reduced, the learning cost of the user is reduced, and the user experience is improved.
According to the intelligent home system management method and device, the working time and/or working parameters of each intelligent device can be jointly determined according to the expected information, the configuration information and the electricity price information of the user, the friendly interaction capacity of the intelligent home system and the power grid is effectively improved, the electricity price fluctuation of the power grid can be flexibly responded according to the expected information and the configuration information set by the user, the intelligent home 'intelligent' and 'autonomous' regulation is realized, and meanwhile, the economy and the comfort degree of the intelligent home system management are considered.
Fig. 4 schematically shows a flowchart of a management method of a smart home system according to still another embodiment of the present disclosure.
As shown in fig. 4, the method includes operation S201, operation S301, and operations S401 to S403. Operation S201 is the same as or similar to the method described above with reference to fig. 2, and operation S301 is the same as or similar to the method described above with reference to fig. 3, which is not repeated herein.
In operation S401, environment information and/or history data is acquired.
In operation S402, an operating time and/or an operating parameter of at least one smart device in the smart home system is determined based on the configuration information, the user expectation information, the electricity rate information, and the environmental information and/or the historical data.
In operation S403, the user is reminded when the environmental information satisfies a preset condition.
According to the embodiment of the present disclosure, environmental information may be acquired, for example, environmental information such as indoor temperature, humidity, brightness, user motion sensing, video, and the like may be acquired through a sensor. Therefore, the information of the surrounding environment can be considered when the working time and/or the working parameters of each intelligent device are determined, for example, if the current temperature is too high, the temperature of an air conditioner can be properly reduced, and if the current brightness is darker, the brightness of an electric lamp can be properly increased, so that the service can be better provided for a user, and the situation that the user repeatedly sets the working parameters or the working time of each intelligent device in a complex way is avoided.
In the embodiment of the disclosure, historical data can be acquired, so that the electricity utilization habits of the user can be analyzed according to the historical data. For example, the use habits of the user on each intelligent device can be obtained by combining an artificial neural network algorithm and a linear extrapolation algorithm, considering holidays and special events in the calculation process, considering similar day analysis and holiday analysis. Therefore, the power utilization habits of the user can be considered when the working time and/or the working parameters of each intelligent device are determined, for example, the user likes the environment with low temperature, the temperature of the air conditioner can be properly reduced, the user likes the environment with strong brightness, the brightness of the lamp can be properly increased, and the like, so that the service can be better provided for the user, and the set complexity of the user on the intelligent home system is reduced.
According to the embodiment of the disclosure, if alarm information such as electric leakage, smoke alarm, screen alarm and the like exists in the acquired environment information, the user needs to be reminded, for example, the user can be reminded through a buzzer, a warning light, remote information alarm and the like, and emergency actions such as power failure, water spraying and the like can be performed in case of serious conditions.
According to the intelligent home system and the method, the working time and/or working parameters of each intelligent device can be jointly determined according to the expected information, the configuration information, the electricity price information environment information and the historical electricity utilization habits of the user, the intelligent home system and the power grid friendly interaction capability can be effectively improved, meanwhile, the electricity price fluctuation of the power grid can be flexibly responded according to the expected information and the configuration information set by the user, the intelligent and autonomous regulation of the intelligent home is realized, and meanwhile, the economy and the comfort degree of the intelligent home system management are considered. In addition, by considering the environmental information and the power utilization habits of the user, the intelligent devices can be intelligently adjusted, the complexity set by the user is reduced, the learning cost of the user is reduced, and the user experience is improved.
Fig. 5A and 5B schematically illustrate a block diagram of a management apparatus 500 of a smart home system according to an embodiment of the present disclosure.
As shown in fig. 5A, the management apparatus 500 includes a first obtaining module 510 and a determining module 520.
The first obtaining module 510 obtains electricity price information of a power grid connected to the smart home system.
The determining module 520 determines the working time and/or working parameters of at least one smart device in the smart home system based on the electricity rate information.
According to an embodiment of the present disclosure, the electricity price information may include electricity price information and/or power grid contract compensation information.
According to the embodiment of the present disclosure, the management apparatus shown in fig. 5A may implement the method described above with reference to fig. 2, for example, and is not described herein again.
As shown in fig. 5B, the management apparatus 500 may further include a second obtaining module 530, a third obtaining module 540, and a reminding module 550.
The second obtaining module 530 obtains configuration information and user desired information. The configuration information is used for configuring the working time and/or working parameters of at least one intelligent device, and the user expectation information can represent the power utilization requirement of the user, wherein the power utilization requirement comprises a comfortable requirement, an economic requirement or a balanced requirement.
According to the embodiment of the present disclosure, the determining module 520 is further configured to determine an operating time and/or an operating parameter of at least one smart device in the smart home system based on the configuration information, the user expectation information, and the electricity price information.
According to the embodiment of the disclosure, determining the working time and/or the working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expectation information and the electricity price information may include: the method comprises the steps of determining a first weight and a second weight for configuration information and power rate information respectively based on user expectation information, and determining working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information and the first weight thereof, the power rate information and the second weight thereof.
According to the embodiment of the disclosure, when the user expectation information represents that the user power demand is a comfortable demand, the first weight may be greater than the second weight, and when the user expectation information represents that the user power demand is an economical demand, the first weight may be less than the second weight.
The third obtaining module 540 obtains the environmental information and/or the historical data.
According to the embodiment of the present disclosure, the determining module 520 is further configured to determine an operating time and/or an operating parameter of at least one smart device in the smart home system based on the configuration information, the user expectation information, the electricity price information, and the environmental information and/or the historical data.
The reminding module 550 reminds the user when the environmental information meets the preset condition.
According to the embodiment of the present disclosure, the management apparatus shown in fig. 5B may implement the method described above with reference to fig. 3 or fig. 4, for example, and is not described herein again.
Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.
For example, any of the first obtaining module 510, the determining module 520, the second obtaining module 530, the third obtaining module 540, and the reminding module 550 may be combined and implemented in one module, or any one of the modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module. According to an embodiment of the present disclosure, at least one of the first obtaining module 510, the determining module 520, the second obtaining module 530, the third obtaining module 540, and the reminding module 550 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or an appropriate combination of any several of them. Alternatively, at least one of the first obtaining module 510, the determining module 520, the second obtaining module 530, the third obtaining module 540, and the reminding module 550 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.
Fig. 6 schematically shows a block diagram of a management system of smart home devices adapted to implement the above-described method according to an embodiment of the present disclosure. The management system shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 6, a management system 600 according to an embodiment of the present disclosure includes a processor 601 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. Processor 601 may include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 601 may also include onboard memory for caching purposes. Processor 601 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.
In the RAM 603, various programs and data necessary for the operation of the system 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. The processor 601 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 602 and/or RAM 603. It is to be noted that the programs may also be stored in one or more memories other than the ROM 602 and RAM 603. The processor 601 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.
According to an embodiment of the present disclosure, system 600 may also include an input/output (I/O) interface 605, input/output (I/O) interface 605 also connected to bus 604. The system 600 may also include one or more of the following components connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program, when executed by the processor 601, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.
The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.
According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 602 and/or RAM 603 described above and/or one or more memories other than the ROM 602 and RAM 603.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.
The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.
Claims (16)
1. A management method of an intelligent home system comprises the following steps:
acquiring the electricity price information of a power grid connected with the intelligent home system;
and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
2. The method of claim 1, wherein the electricity price information comprises electricity price information and/or grid contract compensation information.
3. The method of claim 1, wherein:
the method further comprises the following steps: the method comprises the steps of obtaining configuration information and user expectation information, wherein the configuration information is used for configuring working time and/or working parameters of at least one intelligent device, the user expectation information can represent the power utilization requirements of a user, and the power utilization requirements comprise comfortable requirements, economic requirements or balanced requirements;
the determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information comprises: and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information and the electricity price information.
4. The method of claim 3, wherein the determining an operating time and/or operating parameters of at least one smart device in the smart home system based on the configuration information, the user expectation information, and the electricity rate information comprises:
determining a first weight and a second weight for the configuration information and the power rate information, respectively, based on the user desired information;
and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information and the first weight thereof and the electricity price information and the second weight thereof.
5. The method of claim 4, wherein:
when the user expected information represents that the user electricity demand is a comfortable demand, the first weight is larger than the second weight;
when the user expected information represents that the power demand of the user is economic, the first weight is smaller than the second weight.
6. The method of claim 3, wherein:
the method further comprises the following steps: acquiring environmental information and/or historical data;
the determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expectation information and the electricity price information comprises: determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information, the electricity price information and the environment information and/or historical data.
7. The method of claim 6, further comprising:
and when the environmental information meets the preset conditions, reminding the user.
8. A management device of an intelligent home system comprises:
the first acquisition module is used for acquiring the electricity price information of the power grid connected with the intelligent home system;
the determining module is used for determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the electricity price information.
9. The apparatus of claim 8, wherein the electricity price information comprises electricity price information and/or grid contract compensation information.
10. The apparatus of claim 8, wherein:
the device further comprises: the second acquisition module is used for acquiring configuration information and user expectation information, wherein the configuration information is used for configuring the working time and/or working parameters of at least one intelligent device, the user expectation information can represent the power utilization requirement of a user, and the power utilization requirement comprises a comfortable requirement, an economic requirement or a balanced requirement;
the determination module is further to: and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information and the electricity price information.
11. The apparatus of claim 10, wherein the determining an operating time and/or operating parameters of at least one smart device in the smart home system based on the configuration information, the user expectation information, and the electricity rate information comprises:
determining a first weight and a second weight for the configuration information and the power rate information, respectively, based on the user desired information;
and determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information and the first weight thereof and the electricity price information and the second weight thereof.
12. The apparatus of claim 11, wherein:
when the user expected information represents that the user electricity demand is a comfortable demand, the first weight is larger than the second weight;
when the user expected information represents that the power demand of the user is economic, the first weight is smaller than the second weight.
13. The apparatus of claim 11, wherein:
the device further comprises: the third acquisition module is used for acquiring environmental information and/or historical data;
the determination module is further to: determining the working time and/or working parameters of at least one intelligent device in the intelligent home system based on the configuration information, the user expected information, the electricity price information and the environment information and/or historical data.
14. The apparatus of claim 13, further comprising:
and the reminding module is used for reminding the user when the environmental information meets the preset conditions.
15. A management system of a smart home system includes:
one or more memories storing executable instructions; and
one or more processors executing the executable instructions to implement the method of any one of claims 1-7.
16. A computer readable medium having stored thereon executable instructions which, when executed by a processor, implement a method according to any one of claims 1 to 7.
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