CN112286116B - Intelligent home management system based on big data - Google Patents
Intelligent home management system based on big data Download PDFInfo
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- CN112286116B CN112286116B CN202011306001.0A CN202011306001A CN112286116B CN 112286116 B CN112286116 B CN 112286116B CN 202011306001 A CN202011306001 A CN 202011306001A CN 112286116 B CN112286116 B CN 112286116B
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- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000005457 optimization Methods 0.000 claims description 42
- 238000007726 management method Methods 0.000 claims description 25
- 238000012163 sequencing technique Methods 0.000 claims description 19
- 230000010365 information processing Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 10
- 238000013500 data storage Methods 0.000 claims description 9
- 230000008014 freezing Effects 0.000 claims description 8
- 238000007710 freezing Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 abstract description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 10
- 238000010586 diagram Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 3
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- 230000009286 beneficial effect Effects 0.000 description 1
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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
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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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
- G05B2219/2614—HVAC, heating, ventillation, climate control
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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]
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Abstract
The invention belongs to the technical field of intelligent home management, and discloses an intelligent home management system based on big data, which relates to a client, a plurality of intelligent home appliances, a plurality of control terminals and a server which are arranged in one or more mobile terminals; in the invention, the control sequence of a plurality of intelligent household appliances is optimized by distinguishing the positions and the time of the users, so as to meet the intelligent control requirements under different conditions. In addition, history control data are acquired at corresponding positions and times, and the current control of the intelligent household appliances is further optimized and ordered according to the history control data; the history control data of the intelligent household appliance represent the use habit of a user at the current position and time to a certain extent, so that the user can be ensured to quickly find the intelligent household appliance which is expected to be controlled under the analysis and processing of big data, the intelligent household appliance is more humanized and suitable for the use habit of different users, and the control efficiency and the control experience are greatly improved.
Description
Technical Field
The invention belongs to the technical field of intelligent home management, and particularly relates to an intelligent home management system based on big data.
Background
Currently, with the rapid development of mobile internet and cloud computing, smart home has been rapidly popularized. The existing intelligent home management system comprises an intelligent home terminal and a server, and the control instruction of a user is forwarded through the server to manage the operation of the intelligent home terminal. However, more and more intelligent home terminals in the existing home are provided, so that the user is difficult to quickly find the intelligent home terminal which is expected to be controlled when performing control, and the control efficiency and the control experience are greatly affected.
Disclosure of Invention
The invention aims to provide an intelligent home management system based on big data so as to solve the existing problems.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent home management system based on big data relates to a client installed in one or more mobile terminals, a plurality of intelligent home appliances, a plurality of control terminals and a server;
the client comprises:
the login module is used for sending a login request to the server and realizing the login of the client;
the position acquisition module is used for acquiring and determining the current position of the client after being started in the target mobile terminal, wherein the current position is a login position or a refreshing position;
the time acquisition module is used for acquiring and determining the current time of the client after being started in the target mobile terminal, wherein the current time is login time or refreshing time;
the optimizing module is used for optimizing and sequencing a plurality of intelligent household appliances linked with the target client according to the current position and the current time;
the display module displays a plurality of intelligent household appliance identifiers linked with the target client side according to the optimized sequence;
the refreshing module is used for sending a refreshing request to the server and realizing display refreshing of the display module;
the selection module is used for selecting the target intelligent household appliances and the control modes thereof in the display module;
the sending module is used for sending target intelligent control information to the server, wherein the target intelligent control information at least comprises the target intelligent household appliance selected by the selecting module and a control mode thereof;
the control terminal includes:
the information acquisition module is used for acquiring intelligent household information and intelligent household appliance operation information, and the intelligent household information comprises but is not limited to indoor temperature information, indoor humidity information and indoor air quality information;
the communication module is used for realizing information communication among the information acquisition module, the intelligent household appliance and the server;
the control module is used for controlling the target intelligent household appliance according to target intelligent control information fed back by the server and sent by the client;
the server includes:
the information acquisition module is used for acquiring corresponding information sent by the client and the control terminal;
and the information processing and feedback module is used for processing according to the corresponding information acquired by the information acquisition module and feeding back information processing results to the client and the control terminal.
Preferably, the server further comprises a data storage module for storing historical intelligent control information, corresponding operation positions and corresponding operation time.
Preferably, the information processing and feedback module includes a response feedback unit, which responds to the login or refresh request sent by the client, and feeds back the historical intelligent control information, the corresponding operation position and the corresponding operation time stored in the data storage module to the client.
Preferably, the information processing and feedback module further comprises a calculation unit, and the calculation unit builds a preferred time period with the same starting time and ending time in each 24 hours based on the current time; the response feedback unit feeds back historical intelligent control information, corresponding operation positions and corresponding operation time in all the preferred time periods to the client, wherein the preferred time periods take N-T as starting time and N+T as ending time; where N represents the current time and T represents the calculation parameters of the preferred time period.
Preferably, the optimizing module comprises a primary optimizing unit and a secondary optimizing unit; when the optimization module executes optimization sequencing: the primary optimization unit performs primary optimization sequencing on the historical intelligent control information fed back by the response feedback unit according to the current time; and the secondary optimization unit performs secondary optimization sequencing on the historical intelligent control information in the primary optimization sequencing according to the current position, and the display module displays according to the secondary optimization sequencing.
Preferably, the primary optimizing unit and the secondary optimizing unit perform primary optimizing sequencing and secondary optimizing sequencing according to the controlled times of the intelligent household appliances in the historical intelligent control information from high to low.
Preferably, the display module comprises a primary display unit and a secondary display unit; the primary display unit is used for displaying the secondary optimization ordering of the optimization module; the secondary display unit is used for displaying the history control mode and the custom control mode of the target intelligent household appliance selected by the selection module; and the history control mode and the user-defined control mode are displayed in a split screen mode.
Preferably, the information acquisition module comprises a preamble acquisition unit and a follow-up acquisition unit; the preamble acquisition unit is used for acquiring preamble intelligent home information and intelligent home appliance operation information from the control terminal before acquiring intelligent control information sent by the client; the follow-up acquisition unit is used for acquiring follow-up intelligent home information and intelligent home operation information from the control terminal after the information processing result is fed back to the intelligent home.
Preferably, the information processing and feedback module further includes:
the information judging unit is used for judging whether the corresponding intelligent household appliance is in an operating state according to the operation information of the pre-intelligent household appliance;
the freezing marking unit marks the intelligent household appliances in the running state as a freezing state, and the response feedback unit feeds back the history intelligent control information after freezing marking, the corresponding operation position and the corresponding operation time to the client;
and the control information feedback unit is used for feeding back target intelligent control information sent by the client to the intelligent household appliance.
Preferably, the client further comprises a prohibition module, configured to prohibit the selection module from selecting the frozen intelligent home appliance.
Compared with the prior art, the invention has the following beneficial effects:
in the invention, the control sequence of a plurality of intelligent household appliances is optimized by distinguishing the positions and the time of the users, so as to meet the intelligent control requirements under different conditions. In addition, under the corresponding position and time, history control data are obtained, and the current control of the intelligent household appliance is further optimized and ordered according to the history control data; the history control data of the intelligent household appliance represent the use habit of a user at the current position and time to a certain extent, so that under the analysis and processing of big data, the user is ensured to quickly find the intelligent household appliance which is expected to be controlled, the whole management system can be more humanized and suitable for the use habit of different users, and the control operation efficiency and the operation experience are greatly improved.
In addition, when intelligent control is performed, freezing treatment is also automatically performed on the intelligent household appliances which have performed control operation, so that repeated control operation is avoided when a plurality of people control at the same time.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent home management system provided by the invention;
fig. 2 is a block diagram of a client in the smart home management system provided by the invention;
FIG. 3 is a schematic diagram of a split screen display of a secondary display unit of a display module in a client;
fig. 4 is a block diagram of a control terminal in the smart home management system provided by the invention;
fig. 5 is a block diagram of a server in the smart home management system provided by the invention;
in the figure:
client-10; a login module-11; a position acquisition module-12; a time acquisition module-13; an optimization module-14; a first-level optimizing unit-141; a secondary optimization unit-142; a display module-15; a primary display unit-151; a secondary display unit-152; a refresh module-16; selecting a module-17; a transmitting module-18; disabling module-19;
-20 of intelligent household appliances;
a control terminal-30; an information acquisition module-31; a communication module-32; a control module-33;
a server-40; an information acquisition module-41; a preamble acquisition unit-411; a subsequent acquisition unit-412; an information processing and feedback module-42; a response feedback unit-421; a computing unit-422; an information judgment unit-423; freezing the marking unit-424; a control information feedback unit-425; and a data storage module-43.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the present invention, an intelligent home management system based on big data is provided, referring specifically to fig. 1, the intelligent home management system includes a client 10 installed in one or more mobile terminals, a plurality of intelligent home appliances 20, a plurality of control terminals 30 and a server 40; wherein:
the client 10 is electrically connected to the server 40, the smart home 20 is electrically connected to the control terminal 30, and the control terminal 30 is electrically connected to the server 40. As for the mobile terminal equipped with the client 10, smart devices such as mobile phones, IPAD, tablet computers, etc. may be used.
Referring to the above-mentioned client 10, referring specifically to fig. 2, the client 10 includes:
a login module 11, configured to send a login request to the server 40 and implement login of the client 10;
the location acquisition module 12 is configured to acquire and determine a current location of the client 10 after being started in the target mobile terminal, where the current location is a login location or a refresh location;
the time acquisition module 13 is configured to acquire and determine a current time after the client 10 is started in the target mobile terminal, where the current time is a login time or a refresh time;
the optimizing module 14 performs optimizing sorting on the plurality of intelligent home appliances 20 linked by the target client 10 according to the current position and the current time;
the display module 15 displays a plurality of intelligent home appliance 20 identifiers linked with the target client 10 according to the optimized sequence;
a refresh module 16, configured to send a refresh request to the server 40 and implement display refresh of the display module 15;
a selection module 17, configured to select a target intelligent home appliance 20 and a control manner thereof in the display module 15;
the sending module 18 sends target intelligent control information to the server 40, wherein the target intelligent control information at least comprises the target intelligent household appliance 20 selected by the selecting module 17 and a control mode thereof;
the prohibiting module 19 is configured to prohibit the selecting module 17 from selecting the frozen smart home appliance 20.
Specifically, with respect to the optimization module 14, it includes:
the primary optimization unit 141 performs primary optimization sequencing on the historical intelligent control information fed back by the response feedback unit 421 according to the current time;
the secondary optimization unit 142 performs secondary optimization ranking on the historical intelligent control information in the primary optimization ranking according to the current position, and the display module 15 displays according to the secondary optimization ranking.
Preferably, the primary optimization unit 141 and the secondary optimization unit 142 perform the primary optimization ranking and the secondary optimization ranking according to the controlled times from high to low in the historical intelligent control information fed back by the response feedback unit 421.
Specifically, regarding the display module 15, it includes:
a primary display unit 151 for displaying the secondary optimized sequence of the optimizing module 14;
a secondary display unit 152, configured to display the history control mode and the custom control mode of the target intelligent home appliance 20 selected by the selection module 17; and the history control mode and the user-defined control mode perform split screen display as shown in fig. 3.
As to the control terminal 30, referring specifically to fig. 4, the control terminal 30 includes:
the information acquisition module 31 is configured to acquire smart home information and operation information of the smart home appliance 20, where the smart home information includes, but is not limited to, indoor temperature information, indoor humidity information, and indoor air quality information;
the communication module 32 is configured to implement information communication among the information acquisition module 31, the intelligent home appliance 20 and the server 40;
the control module 33 is configured to control the target intelligent home appliance 20 according to target intelligent control information sent by the client 10 and fed back by the server 40.
Referring to the above server 40, referring specifically to fig. 5, the server 40 includes:
an information acquisition module 41, configured to acquire corresponding information sent by the client 10 and the control terminal 30;
an information processing and feedback module 42, configured to process according to the corresponding information acquired by the information acquisition module 41, and feed back the information processing result to the client 10 and the control terminal 30;
the data storage module 43 is configured to store historical intelligent control information, corresponding operation positions and corresponding operation times.
Specifically, regarding the information acquisition module 41, it includes:
a preamble acquisition unit 411, configured to acquire preamble smart home information and smart home 20 operation information from the control terminal 30 before acquiring the smart control information sent by the client 10;
the subsequent acquiring unit 412 is configured to acquire subsequent smart home information and smart home 20 operation information from the control terminal 30 after feeding back the information processing result to the smart home 20.
Specifically, regarding the information processing and feedback module 42, it includes:
the response feedback unit 421 responds to the login or refresh request sent by the client 10, and feeds back the historical intelligent control information, the corresponding operation position and the corresponding operation time stored in the data storage module 43 to the client 10;
a calculation unit 422 that constructs a preferred time period in which the start time and the end time are the same in each 24 hours, based on the current time as a calculation basis; the response feedback unit 421 feeds back the historical intelligent control information, the corresponding operation positions and the corresponding operation time in all the preferred time periods to the client 10, wherein the preferred time periods take N-T as the starting time and take N+T as the ending time; where N represents the current time and T represents the calculated parameter for the preferred time period. Specifically, assuming that t=30 min, the preferred time period is one hour including the current time.
An information judging unit 423 for judging whether the corresponding intelligent home appliance 20 is in an operation state according to the operation information of the pre-intelligent home appliance 20;
the freeze marking unit 424 marks the intelligent home appliance 20 in the running state as a frozen state, and the response feedback unit 421 feeds back the historical intelligent control information after freeze marking, the corresponding operation position and the corresponding operation time to the client 10;
and the control information feedback unit 425 is configured to feed back the target intelligent control information sent by the client 10 to the intelligent home appliance 20.
In summary, the method flow when executing the overall clamp management system is as follows:
s1, starting a client 10 installed on a mobile terminal through a login module 11 to enter a management system provided by the invention, and after entering the management system, confirming the current login position and login time of the client 10 (the mobile terminal) based on a position acquisition module 12 and a time acquisition module 13;
specifically, assuming that the desired control area in the client 10 is a living place (home), the area where the client 10 (mobile terminal/user) is currently located is a company, and the corresponding meaning means that the controller is outside the desired control area, the current login location acquired at this time is a company, and the current login time is 18:30 (off-duty time).
Meanwhile, the intelligent home information acquired by the information acquisition module 31 and the operation information of the intelligent home appliance 20 (at this time, the client 10 does not transmit the intelligent control information) are acquired by the preamble acquisition unit 411 of the information acquisition module 41; after the information is acquired, the information judging unit 423 judges that the water heater is in an operating state.
S2, generating login response and feedback by a response feedback unit 421 while logging in;
specifically, after the response, the calculation of the preferred time period is performed by the calculation unit 422, assuming that t=30 min, the current preferred time period is 18 in every 24 hours: 00-19:00; screening all historical intelligent control information, corresponding operation positions and corresponding operation time in a preferred time period (18:00-19:00) from the data storage module 43, and feeding back the data of the part to the client 10;
specifically, the feedback data is assumed to be:
starting the intelligent air conditioner to 26 ℃ for 10 times; wherein the 5 times of operation positions are companies, the 3 times of operation positions are between the companies and the home, and the 2 times of operation positions are home; and 10 times of operation time are respectively 18:05/18:30/18:35/18:00/18:25/18:32/18:45/18:50/18:43/18:55/18:58.
starting the intelligent television for 3 times, wherein 2 times of operation positions are between a company and a home, and 1 time of operation positions are home; and 3 times of operation time are respectively 18:34/18:42/18:50.
starting the water heater for 3 times, wherein the 1-time operation position is between a company and a home, and the 2-time operation position is the home; and 3 times of operation time are respectively 18:26/18:38/18:53.
in combination with the determination result of the above-described information determination unit 423, the water heater is marked in a frozen state by the freeze marking unit 424.
S3, after acquiring all historical intelligent control information, corresponding operation positions and corresponding operation time in a preferred time period (18:00-19:00), the client 10 performs optimized sequencing on the historical intelligent control information through an optimization module 14;
for the above data, the primary optimization order formed in the primary optimization unit 141 is intelligent air conditioner/water heater (freeze)/intelligent tv (water heater is juxtaposed with intelligent tv). The secondary optimization order formed in the secondary optimization unit 142 is smart air conditioner/smart tv/water heater (freeze).
S4, displaying the formed secondary optimization sequence in a primary display unit 151 of the display module 15; the user selects the target intelligent home appliances in the secondary optimization sequencing through the selection module 17, wherein the water heater is not selectable;
assuming that the user selects the intelligent air conditioner, the control mode of the intelligent air conditioner is correspondingly displayed through the secondary display unit 152, wherein the selection under the display includes starting the intelligent air conditioner to 26 ℃ in the historical data, and also includes self-defining starting the intelligent air conditioner (for example, starting the intelligent air conditioner to 20 ℃ and starting an intelligent air conditioner fresh air system); specifically, in combination with fig. 3, the upper part screen displays the history control mode, the lower part screen displays the custom control mode, and the upper part screen displaying the history control mode can slide up and down, so that complete display can be performed when the history operation is more.
S5, integrating the intelligent air conditioner and the corresponding control mode thereof into target intelligent control information after the selection is completed, and sending the target intelligent control information to the server 40 through the sending module 18; the storage time of the information in the data storage module 43 is recorded as the current login time;
in addition, if the refresh operation is performed by the refresh module 16 in the process of the above steps S1 to S4, the steps S1 to S4 are repeated at the same time during the refresh, and in this refresh state, the location acquisition module 12 and the time acquisition module 13 confirm the current refresh location and refresh time of the client 10 (mobile terminal), and the corresponding time record of the target intelligent control information in this step is also the current refresh time.
For example, the location of the client 10 after refreshing varies from company to company and home, and the corresponding optimization ordering described above also varies.
S6, the server 40 feeds back target intelligent control information (intelligent air conditioner and corresponding control mode) to the control terminal 30, and the control module 33 executes corresponding control operation on the intelligent air conditioner according to the information, such as starting the intelligent air conditioner to 26 ℃.
S7, acquiring subsequent intelligent home information and intelligent home 20 operation information after feeding back an information processing result to the intelligent home 20 through a subsequent acquisition unit 412; at this time, if the intelligent air conditioner is judged to be in the operating state by the information judgment unit 423, it indicates that the control is successful, and information on the success of the control is fed back to the client 10.
Further, by way of another example, by at 07:35 The client 10 is started (up) and correspondingly, the water heater or the water dispenser can be started quickly based on the optimization management so as to meet the requirement that the user needs to take a bath or drink hot water after getting up.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The intelligent home management system based on big data is characterized by comprising a client installed in one or more mobile terminals, a plurality of intelligent home appliances, a plurality of control terminals and a server;
the client comprises:
the login module is used for sending a login request to the server and realizing the login of the client;
the position acquisition module is used for acquiring and determining the current position of the client after being started in the target mobile terminal, wherein the current position is a login position or a refreshing position;
the time acquisition module is used for acquiring and determining the current time of the client after being started in the target mobile terminal, wherein the current time is login time or refreshing time;
the optimizing module is used for optimizing and sequencing a plurality of intelligent household appliances linked with the target client according to the current position and the current time;
the display module displays a plurality of intelligent household appliance identifiers linked with the target client side according to the optimized sequence;
the refreshing module is used for sending a refreshing request to the server and realizing display refreshing of the display module;
the selection module is used for selecting the target intelligent household appliances and the control modes thereof in the display module;
the sending module is used for sending target intelligent control information to the server, wherein the target intelligent control information at least comprises the target intelligent household appliance selected by the selecting module and a control mode thereof;
the control terminal includes:
the information acquisition module is used for acquiring intelligent household information and intelligent household appliance operation information, and the intelligent household information comprises but is not limited to indoor temperature information, indoor humidity information and indoor air quality information;
the communication module is used for realizing information communication among the information acquisition module, the intelligent household appliance and the server;
the control module is used for controlling the target intelligent household appliance according to target intelligent control information fed back by the server and sent by the client;
the server includes:
the information acquisition module is used for acquiring corresponding information sent by the client and the control terminal;
the information processing and feedback module is used for processing according to the corresponding information acquired by the information acquisition module and feeding back information processing results to the client and the control terminal;
the information processing and feedback module further comprises a calculation unit, wherein the calculation unit is based on the current time, and a preferred time period with the same starting time and ending time is built in each 24 hours;
the response feedback unit feeds back the historical intelligent control information, the corresponding operation positions and the corresponding operation time in all the preferred time periods to the client, wherein the preferred time periods take N-T as the starting time and N+T as the ending time; wherein N represents the current time, and T represents a calculation parameter of a preferred time period;
the optimizing module comprises a primary optimizing unit and a secondary optimizing unit; when the optimization module executes optimization sequencing:
the primary optimization unit performs primary optimization sequencing on the historical intelligent control information fed back by the response feedback unit according to the current time;
and the secondary optimization unit performs secondary optimization sequencing on the historical intelligent control information in the primary optimization sequencing according to the current position, and the display module displays according to the secondary optimization sequencing.
2. The smart home management system of claim 1, wherein the server further comprises a data storage module for storing historical smart control information and corresponding operating locations and corresponding operating times.
3. The smart home management system according to claim 2, wherein the information processing and feedback module includes a response feedback unit for feeding back the historical smart control information stored in the data storage module, the corresponding operation position and the corresponding operation time to the client in response to the login or refresh request sent by the client.
4. The smart home management system based on big data of claim 1, wherein: the primary optimizing unit and the secondary optimizing unit perform primary optimizing sequencing and secondary optimizing sequencing according to the controlled times of the intelligent household appliances in the historical intelligent control information from high to low.
5. The smart home management system based on big data as claimed in claim 4, wherein: the display module comprises a primary display unit and a secondary display unit;
the primary display unit is used for displaying the secondary optimization ordering of the optimization module;
the secondary display unit is used for displaying the history control mode and the custom control mode of the target intelligent household appliance selected by the selection module; and the history control mode and the user-defined control mode are displayed in a split screen mode.
6. The smart home management system according to any one of claims 4-5, wherein the information acquisition module includes a preamble acquisition unit and a follow-up acquisition unit;
the preamble acquisition unit is used for acquiring preamble intelligent home information and intelligent home appliance operation information from the control terminal before acquiring intelligent control information sent by the client;
the follow-up acquisition unit is used for acquiring follow-up intelligent home information and intelligent home operation information from the control terminal after the information processing result is fed back to the intelligent home.
7. The smart home management system of claim 6, wherein the information processing and feedback module further comprises:
the information judging unit is used for judging whether the corresponding intelligent household appliance is in an operating state according to the operation information of the pre-intelligent household appliance;
the freezing marking unit marks the intelligent household appliances in the running state as a freezing state, and the response feedback unit feeds back the history intelligent control information after freezing marking, the corresponding operation position and the corresponding operation time to the client;
and the control information feedback unit is used for feeding back target intelligent control information sent by the client to the intelligent household appliance.
8. The smart home management system of claim 7, wherein the client further comprises a disabling module configured to disable the selection module from selecting the frozen smart home appliance.
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| CN113485146B (en) * | 2021-07-30 | 2022-12-23 | 重庆海尔空调器有限公司 | Control method and control device for household appliance and household appliance |
| CN115407677B (en) * | 2022-09-23 | 2023-06-02 | 北京德元方惠科技开发有限责任公司 | Big data-based information storage system and method |
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| CN103616860B (en) * | 2013-11-08 | 2017-02-15 | 海信集团有限公司 | Method and device for remote control of household appliances |
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| CN105785938A (en) * | 2014-12-26 | 2016-07-20 | 北京奇虎科技有限公司 | Onboard control system capable of controlling intelligent household environment |
| KR20170014095A (en) * | 2015-07-28 | 2017-02-08 | (주)산들네트웍스 | A Method and System of Smart Consumer Service for Home Power Saving |
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| CN110376925A (en) * | 2018-04-13 | 2019-10-25 | 珠海格力电器股份有限公司 | Method and device for controlling household appliance to execute control instruction |
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