CN112286116A - Intelligent home management system based on big data - Google Patents
Intelligent home management system based on big data Download PDFInfo
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- CN112286116A CN112286116A CN202011306001.0A CN202011306001A CN112286116A CN 112286116 A CN112286116 A CN 112286116A CN 202011306001 A CN202011306001 A CN 202011306001A CN 112286116 A CN112286116 A CN 112286116A
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- 238000012163 sequencing technique Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000005457 optimization Methods 0.000 claims description 62
- 238000007726 management method Methods 0.000 claims description 27
- 230000010365 information processing Effects 0.000 claims description 18
- 238000013500 data storage Methods 0.000 claims description 9
- 230000008014 freezing Effects 0.000 claims description 9
- 238000007710 freezing Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 abstract description 2
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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]
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 household appliances, a plurality of control terminals and a server which are arranged in one or a plurality of 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 that the intelligent control requirements under different conditions are met. Acquiring historical control data at corresponding positions and time, and further performing optimized sequencing on the current control of the intelligent household appliance according to the historical control data; the historical control data represents the use habits of the user in the current position and time to a certain extent, so that the user can quickly find the intelligent household appliance expected to be controlled under the analysis and processing of the big data, the more humanized use habits suitable for different users are realized, 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 homes are rapidly popularized. The existing intelligent home management system comprises an intelligent home terminal and a server, and the server forwards a control instruction of a user to manage the operation of the intelligent home terminal. However, more and more smart home terminals in the existing home are used, so that it is difficult for a user to quickly find a desired control smart home terminal when performing control, which greatly affects control efficiency and control experience.
Disclosure of Invention
The invention aims to provide an intelligent home management system based on big data to solve the existing problems.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent home management system based on big data relates to a client installed in one or more mobile terminals, a plurality of intelligent household 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 the client is started in the target mobile terminal, and the current position is a login position or a refresh position;
the time acquisition module is used for acquiring and determining the current time of the client after the client is started in the target mobile terminal, and the current time is login time or refresh time;
the optimization module is used for optimizing and sequencing the 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 identifications linked with the target client in the target client according to the optimized sequence;
the refreshing module is used for sending a refreshing request to the server and realizing the display refreshing of the display module;
the selection module is used for selecting the target intelligent household appliance and the control mode thereof in the display module;
the sending module is used for sending target intelligent control information to the server, and the target intelligent control information at least comprises the target intelligent household appliance selected by the selection module and the control mode thereof;
the control terminal includes:
the intelligent household appliance 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 appliances according to the 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 an information processing result 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, and responds to a 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 calculating unit, and the calculating unit constructs a preferred time period with the same starting time and ending time within each 24 hours on the basis of the current time; the response feedback unit feeds back historical intelligent control information, corresponding operation positions and corresponding operation time in all preferred time periods to the client, wherein the preferred time periods take N-T as starting time and N + T as ending time; wherein N represents the current time and T represents a calculation parameter of a preferred time period.
Preferably, the optimization module comprises a primary optimization unit and a secondary optimization 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 carries out secondary optimization sorting on the historical intelligent control information in the primary optimization sorting according to the current position, and the display module displays according to the secondary optimization sorting.
Preferably, the primary optimization unit and the secondary optimization unit perform primary optimization sorting and secondary optimization sorting according to the controlled times of the plurality of intelligent household appliances in the historical intelligent control information from high to low.
Preferably, the display module includes a primary display unit and a secondary display unit; the primary display unit is used for displaying the secondary optimization sequencing of the optimization module; the secondary display unit is used for displaying the historical control mode and the user-defined control mode of the target intelligent household appliance selected by the selection module; and the historical 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 subsequent acquisition unit; the preorder acquisition unit is used for acquiring preorder intelligent home information and intelligent household appliance operation information from the control terminal before acquiring an intelligent control signal sent by the client; the follow-up acquisition unit is used for acquiring follow-up intelligent home information and intelligent household appliance operation information from the control terminal after feeding back an information processing result to the intelligent household appliance.
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 the running state or not according to the preorder intelligent household appliance running information;
the system comprises a freezing marking unit, a response feedback unit and a client, wherein the freezing marking unit marks the intelligent household appliance in the running state as a freezing state, and the response feedback unit feeds back the history intelligent control information after being marked by freezing, a corresponding operation position and a corresponding operation time to the client;
and the control information feedback unit is used for feeding back the target intelligent control information sent by the client to the intelligent household appliance.
Preferably, the client further includes a prohibition module configured to prohibit the selection module from selecting the frozen intelligent 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 that the intelligent control requirements under different conditions are met. Acquiring historical control data at corresponding positions and time, and further performing optimized sequencing on the current control of the intelligent household appliance according to the historical control data; the historical control data represents the use habits of the user in the current position and time to a certain extent, so that the user can quickly find the intelligent household appliance expected to be controlled under the analysis and the processing of big data, the whole management system can be more humanized and is suitable for the use habits of different users, and the control operation efficiency and the operation experience are greatly improved.
In addition, when the intelligent control is carried out, the intelligent household appliances which are already executed with the control operation are automatically frozen, so that the repeated control operation when a plurality of persons control simultaneously is avoided.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent home management system provided by the present invention;
fig. 2 is a block diagram of a structure of a client in the smart home management system provided by the present invention;
FIG. 3 is a diagram illustrating a secondary display unit of a display module in a client for split display;
fig. 4 is a block diagram of a control terminal in the smart home management system according to the present invention;
fig. 5 is a block diagram of a server in the smart home management system according to the present invention;
in the figure:
a client-10; a login module-11; a position acquisition module-12; a time acquisition module-13; an optimization module-14; a primary optimization 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; a selection module-17; a sending module-18; a disabling module-19;
an intelligent appliance-20;
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; 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; a freeze flag unit-424; control information feedback unit-425; a data storage module-43.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present invention, an intelligent home management system based on big data is provided, and specifically please refer 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 intelligent household appliance 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 to which the client 10 is installed, smart devices such as a mobile phone, an IPAD, and a tablet computer may be used.
With reference to the client 10, specifically referring 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 position acquisition module 12 is configured to acquire and determine a current position of the client 10 after being started in the target mobile terminal, where the current position is a login position or a refresh position;
the time acquisition module 13 is configured to acquire and determine current time after the client 10 is started in the target mobile terminal, where the current time is login time or refresh time;
the optimization module 14 is used for optimizing and sequencing the plurality of intelligent household appliances 20 linked with the target client 10 according to the current position and the current time;
the display module 15 displays the plurality of intelligent household 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 appliance 20 and a control method thereof in the display module 15;
a sending module 18, configured to send target intelligent control information to the server 40, where the target intelligent control information at least includes the target intelligent appliance 20 selected by the selecting module 17 and the control mode thereof;
and a disabling module 19 for disabling the selection module 17 from selecting the frozen smart appliance 20.
Specifically, with respect to the optimization module 14, it includes:
the primary optimization unit 141 performs primary optimization sorting on the historical intelligent control information fed back by the response feedback unit 421 according to the current time;
and the secondary optimization unit 142 performs secondary optimization sorting on the historical intelligent control information in the primary optimization sorting according to the current position, and the display module 15 displays the historical intelligent control information according to the secondary optimization sorting.
Preferably, the primary optimization unit 141 and the secondary optimization unit 142 perform a primary optimization sorting and a secondary optimization sorting according to the controlled times of the plurality of intelligent home appliances 20 in the historical intelligent control information fed back by the response feedback unit 421.
Specifically, the display module 15 includes:
a primary display unit 151 for displaying the secondary optimization ranking of the optimization module 14;
a secondary display unit 152 for displaying the historical control mode and the customized control mode of the target intelligent appliance 20 selected by the selection module 17; and the history control mode and the custom control mode are displayed in a split screen manner as shown in fig. 3.
As to the control terminal 30, referring to fig. 4 specifically, the control terminal 30 includes:
the information acquisition module 31 is configured to acquire intelligent home information and operation information of the intelligent household appliance 20, where the intelligent home information includes, but is not limited to, indoor temperature information, indoor humidity information, and indoor air quality information;
the communication module 32 is used for realizing information communication among the information acquisition module 31, the intelligent household appliance 20 and the server 40;
and the control module 33 is configured to control the target intelligent appliance 20 according to the target intelligent control information fed back by the server 40 and sent by the client 10.
As to the server 40, referring to fig. 5 specifically, the server 40 includes:
an information obtaining module 41, configured to obtain corresponding information sent by the client 10 and the control terminal 30;
an information processing and feedback module 42, configured to perform processing according to the corresponding information acquired by the information acquisition module 41, and feed back an information processing result to the client 10 and the control terminal 30;
and the data storage module 43 is used for storing historical intelligent control information, corresponding operation positions and corresponding operation time.
Specifically, the information acquisition module 41 includes:
a preamble acquiring unit 411, configured to acquire preamble smart home information and operation information of the smart home appliance 20 from the control terminal 30 before acquiring the smart control information sent by the client 10;
and a subsequent obtaining unit 412, configured to obtain subsequent smart home information and operation information of the smart home appliance 20 from the control terminal 30 after the information processing result is fed back to the smart home appliance 20.
Specifically, the information processing and feedback module 42 includes:
a response feedback unit 421, which responds to the login or refresh request sent by the client 10, and feeds back the historical intelligent control information and the corresponding operation position and the corresponding operation time stored in the data storage module 43 to the client 10;
the calculating unit 422 constructs a preferred time period with the same starting time and ending time in each 24 hours on the basis of the current time; the response feedback unit 421 feeds back the historical intelligent control information, the corresponding operation position, and the corresponding operation time in all the preferred time periods to the client 10, where N-T is an initial time and N + T is a final time in the preferred time period; where N denotes the current time and T denotes the calculation parameter of the preferred time period. Specifically, assuming that T is 30min, the preferred time period is one hour including the current time.
An information determining unit 423 for determining whether the corresponding intelligent appliance 20 is in an operating state according to the operation information of the intelligent appliance 20 in the preamble;
a freeze marking unit 424, which marks the intelligent household appliance 20 in the running state as a freeze state, and responds to the feedback unit 421 to feed back the history intelligent control information after the freeze marking, the corresponding operation position and the corresponding operation time to the client 10;
and a control information feedback unit 425 configured to feed back the target smart control information sent by the client 10 to the smart appliance 20.
In summary, the method flow for executing the overall fixture 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 confirming the current login position and login time of the client 10 (mobile terminal) based on a position acquisition module 12 and a time acquisition module 13 after entering the management system;
specifically, it is assumed that the desired control area in the client 10 is a residential area (home), the area where the client 10 (mobile terminal/user) is currently located is a company, and what corresponds to the area indicates that the controller is outside the desired control area, the current login location obtained at this time is the company, and the current login time is 18: 30 (off-hours).
Meanwhile, the smart home information and the operation information of the smart home appliance 20 collected by the information collection module 31 are obtained through the preamble obtaining unit 411 of the information obtaining module 41 (at this time, the client 10 does not send the smart control information); after the information is acquired, the information determining unit 423 determines that the water heater is in the operating state.
S2, during login, a response feedback unit 421 generates login response and feedback;
specifically, after the response, the calculation unit 422 calculates the preferred time period, and if T is 30min, the current preferred time period is 18 per 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 part of data to the client 10;
specifically, assume that the feedback data is:
starting the intelligent air conditioner to 26 ℃ for 10 times; wherein, the 5-time operation position is a company, the 3-time operation position is between the company and the home, and the 2-time operation position is the home; and the 10 operation times 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 smart television for 3 times, wherein 2 times of operation positions are between companies and at home, and 1 time of operation positions are at home; and the 3 operation times are respectively 18: 34/18: 42/18: 50.
starting the water heater for 3 times, wherein 1 time of operation positions are between companies and home, and 2 times of operation positions are home; and the 3 operation times are respectively 18: 26/18: 38/18: 53.
in conjunction with the determination result of the information determination unit 423, the water heater is marked as a frozen state by the freeze marking unit 424.
S3, after acquiring all the historical intelligent control information, the corresponding operation positions and the corresponding operation time in the preferred time period (18: 00-19: 00), the client 10 performs optimization sequencing on the historical intelligent control information, the corresponding operation positions and the corresponding operation time through an optimization module 14;
for the above data, the primary optimization sequence formed in the primary optimization unit 141 is intelligent air conditioner/water heater (freezing)/intelligent tv (water heater and intelligent tv are parallel). The quadratic optimization sequence formed in the secondary optimization unit 142 is intelligent air conditioner/intelligent tv/water heater (freeze).
S4, displaying the formed secondary optimization sequence in a primary display unit 151 of a display module 15; the user selects the target intelligent household appliance in the secondary optimization sorting through the selection module 17, wherein the water heater is not selectable;
if 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 comprises starting the intelligent air conditioner to 26 ℃ in the historical data, and self-defining starting of the intelligent air conditioner (for example, starting the intelligent air conditioner to 20 ℃, and starting an intelligent air conditioner fresh air system); specifically, as shown in fig. 3, the upper screen displays the history control mode, the lower screen displays the user-defined control mode, and the upper screen displaying the history control mode can slide up and down, so that the history operation can be completely displayed when the history operation is more.
S5, after the selection is finished, integrating the intelligent air conditioner and the corresponding control mode into target intelligent control information, 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 module 16 performs the refresh operation in the process from step S1 to step S4, the steps S1 to step S4 are repeated at the same time as the refresh operation, and in this refresh state, the location collection module 12 and the time collection module 13 confirm the current refresh location and refresh time of the client terminal 10 (mobile terminal), and the corresponding time record of the target smart control information in this step is also the current refresh time.
For example, the location of the refreshed client 10 changes from company to company and between companies and homes, and the corresponding optimization ranking changes.
S6, the server 40 feeds back target intelligent control information (the intelligent air conditioner and the corresponding control mode thereof) 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 household appliance 20 operation information after the information processing result is fed back to the intelligent household appliance 20 through a subsequent acquisition unit 412; at this time, if the information determination unit 423 determines that the smart air conditioner is in the operating state, it indicates that the control is successful, and the information of the control success is fed back to the client 10.
Further, for example, by way of another example, at 07: 35 (getting up) starts the client 10, and correspondingly, the water heater or the water dispenser can be quickly started based on the optimized 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 appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent home management system based on big data is characterized by relating to a client, a plurality of intelligent household appliances, a plurality of control terminals and a server which are arranged in one or a plurality of mobile terminals;
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 the client is started in the target mobile terminal, and the current position is a login position or a refresh position;
the time acquisition module is used for acquiring and determining the current time of the client after the client is started in the target mobile terminal, and the current time is login time or refresh time;
the optimization module is used for optimizing and sequencing the 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 identifications linked with the target client in the target client according to the optimized sequence;
the refreshing module is used for sending a refreshing request to the server and realizing the display refreshing of the display module;
the selection module is used for selecting the target intelligent household appliance and the control mode thereof in the display module;
the sending module is used for sending target intelligent control information to the server, and the target intelligent control information at least comprises the target intelligent household appliance selected by the selection module and the control mode thereof;
the control terminal includes:
the intelligent household appliance 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 appliances according to the 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 an information processing result to the client and the control terminal.
2. The smart home management system based on big data according to claim 1, wherein the server further comprises a data storage module for storing historical smart control information and corresponding operation positions and corresponding operation times.
3. The intelligent home management system based on big data according to claim 2, wherein the information processing and feedback module comprises a response feedback unit, and the response feedback unit is configured to feed back the historical intelligent control information, the corresponding operation position and the corresponding operation time stored in the data storage module to the client in response to a login or refresh request sent by the client.
4. The smart home management system based on big data according to claim 3, characterized in that: the information processing and feedback module further comprises a calculation unit, and the calculation unit constructs a preferred time period with the same starting time and ending time in each 24 hours on the basis of the current time;
the response feedback unit feeds back historical intelligent control information, corresponding operation positions and corresponding operation time in all preferred time periods to the client, wherein the preferred time periods take N-T as starting time and N + T as ending time; wherein N represents the current time and T represents a calculation parameter of a preferred time period.
5. The smart home management system based on big data according to claim 4, wherein: the optimization module comprises a primary optimization unit and a secondary optimization 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 carries out secondary optimization sorting on the historical intelligent control information in the primary optimization sorting according to the current position, and the display module displays according to the secondary optimization sorting.
6. The smart home management system based on big data according to claim 5, characterized in that: and the primary optimization unit and the secondary optimization unit perform primary optimization sorting and secondary optimization sorting according to the controlled times of the intelligent appliances in the historical intelligent control information from high to low.
7. The smart home management system based on big data according to claim 6, characterized in that: the display module comprises a primary display unit and a secondary display unit;
the primary display unit is used for displaying the secondary optimization sequencing of the optimization module;
the secondary display unit is used for displaying the historical control mode and the user-defined control mode of the target intelligent household appliance selected by the selection module; and the historical control mode and the user-defined control mode are displayed in a split screen mode.
8. The smart home management system based on big data according to any one of claims 4-7, wherein the information acquisition module comprises a preamble acquisition unit and a subsequent acquisition unit;
the preorder acquiring unit is used for acquiring preorder intelligent home information and intelligent household appliance operation information from the control terminal before acquiring the intelligent control information sent by the client;
the follow-up acquisition unit is used for acquiring follow-up intelligent home information and intelligent household appliance operation information from the control terminal after feeding back an information processing result to the intelligent household appliance.
9. The smart home management system based on big data according to claim 8, 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 the running state or not according to the preorder intelligent household appliance running information;
the system comprises a freezing marking unit, a response feedback unit and a client, wherein the freezing marking unit marks the intelligent household appliance in the running state as a freezing state, and the response feedback unit feeds back the history intelligent control information after being marked by freezing, a corresponding operation position and a corresponding operation time to the client;
and the control information feedback unit is used for feeding back the target intelligent control information sent by the client to the intelligent household appliance.
10. The smart home management system based on big data according to claim 9, wherein the client further comprises a prohibiting module configured to prohibit the selecting module from selecting the frozen smart home appliance.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115407677A (en) * | 2022-09-23 | 2022-11-29 | 哈尔滨深潜科技有限公司 | Information storage system and method based on big data |
| WO2023005391A1 (en) * | 2021-07-30 | 2023-02-02 | 重庆海尔空调器有限公司 | Control method and control apparatus for household appliance, and household appliance |
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| US20150134116A1 (en) * | 2013-11-08 | 2015-05-14 | Hisense Co., Ltd | Method and device for remotely controlling household appliance, and computer readable storage medium |
| 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 |
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| CN115407677A (en) * | 2022-09-23 | 2022-11-29 | 哈尔滨深潜科技有限公司 | Information storage system and method based on big data |
| 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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| CN112286116B (en) | 2023-11-07 |
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