CN112486135B - Intelligent home control system based on Internet of things and cloud computing - Google Patents

Intelligent home control system based on Internet of things and cloud computing Download PDF

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CN112486135B
CN112486135B CN202011574714.5A CN202011574714A CN112486135B CN 112486135 B CN112486135 B CN 112486135B CN 202011574714 A CN202011574714 A CN 202011574714A CN 112486135 B CN112486135 B CN 112486135B
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CN112486135A (en
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王玲娟
王永虎
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Jiangsu Jindi Wood Industry Co ltd
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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]
    • G05B19/4183—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] characterised by data acquisition, e.g. workpiece identification
    • 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
    • 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]
    • G05B19/4185—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] characterised by the network communication
    • 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
    • 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
    • G05B2219/2653—Roller blind, shutter, sunshade
    • 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 discloses an intelligent home control system based on the Internet of things and cloud computing, which comprises an environment monitoring module, an environment adjusting module, a Zigbee coordinator, an instruction receiving module, a data acquisition module, a data analysis module, a control center, a cloud platform and an equipment management module, wherein the environment monitoring module is used for monitoring the environment of a user; the environment monitoring module is arranged indoors and used for monitoring indoor real-time environment information in real time and sending the acquired real-time environment information to the control center through a Zigbee wireless network; the control center is used for comparing the real-time environment information with preset environment information and automatically driving the control environment adjusting module to adjust the environment when the real-time environment information exceeds or is lower than the preset environment information; the data acquisition module is used for acquiring the physical sign data of the user in a preset time period and transmitting the physical sign data of the user to the data analysis module, and the data analysis module is used for receiving the physical sign data of the user and analyzing and processing the physical sign data of the user.

Description

Intelligent home control system based on Internet of things and cloud computing
Technical Field
The invention relates to the technical field of intelligent home equipment, in particular to an intelligent home control system based on the Internet of things and cloud computing.
Background
Along with the improvement of the requirements of people on the comfort and health of the home, the concept of the intelligent home is gradually proposed and accepted, the intelligent home generally utilizes the advanced computer network communication technology, the comprehensive wiring technology and the human engineering principle, the individual requirements are fused, all subsystems related to the home life are organically combined together, and the brand-new home life experience is realized through comprehensive intelligent control and management;
the existing intelligent home control system is single in control mode, only meets the material requirements of users, does not consider the emotional requirements of the users, cannot intelligently control the running state of the intelligent home according to the joyful mood of the users, has different use frequencies and different losses of the intelligent homes, lacks an effective measuring standard, facilitates the users to maintain and overhaul the intelligent home in time, prolongs the service life of equipment, and avoids the loss caused by sudden failure and shutdown of home equipment.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent home control system based on the Internet of things and cloud computing, so that the indoor environment is adjusted more safely and intelligently, intelligent control can be achieved, energy can be saved, the emotional requirements of users are fully considered, the running state of the intelligent home can be intelligently controlled according to the joyful values of the moods of the users, and a better using effect is brought to the users;
analyzing and processing the use record of each intelligent household device through an early warning unit, and obtaining a loss value of the intelligent household device according to a relevant algorithm; when the loss value is larger than the preset value, the customer is prompted to maintain and overhaul the intelligent household equipment corresponding to the serial number, the service life of the equipment is prolonged, and loss caused by sudden failure and shutdown of the household equipment is avoided.
The purpose of the invention can be realized by the following technical scheme: the intelligent home control system based on the Internet of things and cloud computing comprises an environment monitoring module, an environment adjusting module, a Zigbee coordinator, an instruction receiving module, a data acquisition module, a data analysis module, a control center, a cloud platform and an equipment management module;
the environment monitoring module is arranged indoors and used for monitoring indoor real-time environment information in real time and sending the acquired real-time environment information to the control center through a Zigbee wireless network; the control center is used for comparing the real-time environment information with preset environment information and automatically driving the control environment adjusting module to adjust the environment when the real-time environment information exceeds or is lower than the preset environment information;
the environment adjusting module comprises a temperature adjusting module, a humidity adjusting module, a carbon dioxide adjusting module and an illumination adjusting module; the control center is in control connection with the temperature adjusting module, the humidity adjusting module, the carbon dioxide adjusting module and the illumination adjusting module;
the environment monitoring module also comprises a human body infrared detector which is used for detecting whether a person is in the room; the environment adjusting module comprises the following specific working steps:
s21: the human body infrared detector detects whether a person is in the room, if no person exists in the room, the control center controls the intelligent home to be closed, and the intelligent door and window are locked;
s22: if the person exists, the environment monitoring module acquires indoor real-time environment information and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the control center compares the real-time environment information with preset environment information;
s23: when the real-time temperature information exceeds or is lower than the preset environment information, the control center drives and controls the temperature adjusting module to adjust the temperature to be within the range of the preset environment information;
s24: when the real-time humidity information exceeds or is lower than the preset environment information, the control center drives and controls the humidity adjusting module to adjust the humidity to be within the range of the preset environment information;
s25: when the real-time carbon dioxide concentration information exceeds the preset environmental information, the control center drives and controls the carbon dioxide adjusting module to adjust the carbon dioxide concentration to be within the preset environmental information range;
s26: when the real-time illuminance information is lower than the preset environment information, the control center drives and controls the illumination adjusting module to adjust the illuminance to be within the range of the preset environment information;
the data acquisition module is used for acquiring the physical sign data of the user in a preset time period and transmitting the physical sign data of the user to the data analysis module, the data analysis module is used for receiving the physical sign data of the user and analyzing and processing the physical sign data of the user to obtain a pleasure value of the mood of the user, and the specific analysis process is as follows:
x1: acquiring each physical sign data of a user in a preset time period, specifically acquiring initial time information for starting timing, and marking the initial time information as G1;
x2: acquiring real-time sign data of initial time G1, and marking the real-time sign data corresponding to the G1 time as a normal value C1i of the sign data; n =1.. N; i represents the ith physical sign data;
x3: calculating end time according to a preset time period, marking the end time as G2, wherein G2-G1 are equal to the preset time; acquiring each item of physical sign data of the user corresponding to G2 time, and marking the physical sign data as C2i;
x4: each sign data has different weights, namely H1, H2, … …, hj, H1 > H2 > … … > Hj, and H1+ H2+ … … + Hj =1; wherein i and j correspond one to one;
x5: calculating the mood pleasure value of the user according to the change of the sign data of the user, and utilizing a formula:
Figure 957181DEST_PATH_IMAGE001
calculating to obtain a mood delight value Y of the user;
x6: the data analysis module transmits the mood delight value Y of the user to the control center, the control center receives the mood delight value Y and selects a first scene mode matched with the mood delight value Y from the appointed mapping relation table, and then the control center controls the intelligent home equipment to adjust the running state of the intelligent home to the first scene mode, and the specific steps are as follows:
x61: determining the mood delight value interval in which the mood delight value Y is positioned in the specified mapping relation table;
x62: acquiring corresponding intelligent home setting content in a first scene mode according to the joyful mood value interval;
x63: the control center sends a first adjusting instruction to the intelligent home equipment, wherein the first adjusting instruction carries the intelligent home setting content in a first scene mode;
x64: and the intelligent household equipment adjusts the running state of the intelligent household to the first scene mode.
Furthermore, the environment monitoring module comprises a plurality of sensor group nodes and a base station, wherein the base station and the plurality of sensor group nodes together form a wireless sensor network for sensing and collecting real-time environment information, the real-time environment information collected by the sensor group nodes is finally transmitted to the base station, and then the base station transmits the received indoor environment data to the control center; the method comprises the following specific steps:
s11: when the distance between the sensor group node and the base station is smaller than a set distance threshold value, the sensor group node directly sends real-time environment information to the base station;
s12: when the distance between the sensor group node and the base station is larger than a set distance threshold value, the sensor node sends the real-time environment information to the base station in a multi-hop forwarding mode;
the sensor group comprises a temperature sensor, a humidity sensor, a carbon dioxide sensor and an illumination sensor.
Further, the device management module comprises a configuration unit, a creation unit and an editing unit;
the configuration unit is used for pre-configuring equipment information of each intelligent home equipment, and the equipment information comprises the function attribute of each intelligent home equipment;
the creating unit is used for creating a plurality of scene modes according to the requirements of users;
the editing unit is respectively connected with the configuration unit and the creation unit, and is used for acquiring the equipment information of each intelligent home equipment and each scene mode and adding the equipment information of each intelligent home equipment to the corresponding scene mode; and correlating the mood pleasure value range with the scene mode to generate a mapping relation table of the mood pleasure value and the scene mode.
Furthermore, the device management module further comprises a memory unit and an early warning unit, wherein the memory unit is used for recording the use record of each intelligent household device and transmitting the use record of each intelligent household device to the early warning unit, and meanwhile, the memory unit marks a unique number for each intelligent household device; the usage record comprises a turn-on time and a turn-off time for each usage; the early warning unit receives the use record of each intelligent household device and analyzes and processes the use record, and the method comprises the following specific steps:
s31: acquiring a use record of each intelligent household device 60 days before the current time of the system; counting the use times of each intelligent household device, and marking the use times as Cm; m =1,2, …, h; wherein m represents the mth intelligent household equipment;
s32: marking the on-time of each use of the intelligent household equipment as T1mx, and marking the off-time of each use of the intelligent household equipment as T2mx, x =1,2, …, cm; obtaining the duration Tmx of each use of the intelligent household equipment, wherein Tmx = T2mx-T1mx;
s33: marking the current time of the system as T
Figure 298163DEST_PATH_IMAGE002
(ii) a Using formulas
Figure 557106DEST_PATH_IMAGE003
Calculating to obtain the aging value of each usage record
Figure 531009DEST_PATH_IMAGE004
(ii) a Wherein σ is a preset coefficient factor;
s34: using formulas
Figure 471284DEST_PATH_IMAGE005
Calculating a buffer value of adjacent usage records, wherein a = x-1;
s35: using formulas
Figure 260248DEST_PATH_IMAGE006
Calculating to obtain a loss value Fm of the intelligent household equipment; wherein b1, b2, b3 and b4 are preset coefficient factors;
s36: when the loss value Fm is larger than a preset value, the early warning unit generates an early warning signal and transmits the early warning signal to the control center;
and the control center receives the early warning signal and the corresponding intelligent household equipment number and sends the early warning signal and the corresponding intelligent household equipment number to a mobile phone end of a user.
Further, the instruction receiving module is used for receiving a control instruction which is actively sent to the smart home by a user; and generating a new mapping relation according to the active control instruction and the corresponding user mood pleasure value, and storing the mapping relation into a mapping relation table.
Further, the control center is also used for transmitting the real-time environment information to a cloud platform, and the cloud platform is used for storing the real-time environment information; the real-time environment information comprises temperature information, humidity information, carbon dioxide concentration information and illumination information; the physical sign data of the user comprises the body temperature of the user, the heartbeat frequency of the user, the blood pressure value of the user, the sweating of the user and the like.
The invention has the beneficial effects that:
(1) The environment monitoring module comprises a human body infrared detector, the human body infrared detector is used for detecting whether a person exists in a room, if no person exists in the room, the control center controls the intelligent home to be closed, the intelligent door and window are locked, and energy is saved; if the person exists, the environment monitoring module acquires indoor real-time environment information and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the collected indoor real-time environmental information is analyzed and processed, the environment adjusting module is controlled to operate according to the indoor real-time environmental information, the household temperature, humidity, illuminance and air circulation can be adjusted, people can enjoy comfortable environment when returning home, the structure is simple, the practicability is high, the environment monitoring module utilizes the wireless sensor network technology to collect the indoor real-time environmental information, the wiring trouble is avoided, and the intelligent and rapid effects are achieved;
(2) The data acquisition module acquires the physical sign data of the user in a preset time period and transmits the physical sign data of the user to the data analysis module, the data analysis module analyzes and processes the physical sign data of the user, and the pleasure value of the mood of the user is obtained according to a related algorithm
Figure 158934DEST_PATH_IMAGE001
(ii) a The data analysis module transmits the mood pleasure value Y of the user to the control center, and the control center receives the mood pleasure value Y and selects a first mood pleasure value Y matched with the mood pleasure value Y from the designated mapping relation tableAfter the scene mode is finished, the control center controls the intelligent household equipment to adjust the running state of the intelligent household equipment to a first scene mode; according to the intelligent home control method and the intelligent home control system, the joyful value of the mood of the user is obtained through the change of the sign data of the user, so that the operation state of the intelligent home is effectively adjusted in real time, the effect that the intelligent home control can give attention to the mood is achieved, and a better using effect is brought to the user;
(3) The equipment management module further comprises a memory unit and an early warning unit, the memory unit is used for recording the use record of each intelligent household equipment and transmitting the use record of each intelligent household equipment to the early warning unit, the early warning unit receives the use record of each intelligent household equipment, analyzes and processes the use record, and the use record is analyzed and processed according to a related algorithm
Figure 603822DEST_PATH_IMAGE006
Calculating to obtain a loss value Fm of the intelligent household equipment; providing an effective measure for the user; when the loss value Fm is larger than the preset value, a customer is prompted to maintain and overhaul the intelligent household equipment corresponding to the serial number, the service life of the equipment is prolonged, and loss caused by sudden failure and shutdown of the household equipment is avoided.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed description of the preferred embodiments
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, 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.
As shown in fig. 1, the smart home control system based on the internet of things and cloud computing includes an environment monitoring module, an environment adjusting module, a Zigbee coordinator, an instruction receiving module, a data acquisition module, a data analysis module, a control center, a cloud platform, and an equipment management module;
the environment monitoring module is arranged indoors and used for monitoring indoor real-time environment information in real time and sending the acquired real-time environment information to the control center through a Zigbee wireless network; the control center is used for comparing the real-time environment information with preset environment information and automatically driving the control environment adjusting module to adjust the environment when the real-time environment information exceeds or is lower than the preset environment information;
the control center is also used for transmitting the real-time environment information to a cloud platform, and the cloud platform is used for storing the real-time environment information; the real-time environment information comprises temperature information, humidity information, carbon dioxide concentration information and illumination information;
the environment monitoring module comprises a plurality of sensor group nodes and a base station, wherein the base station and the plurality of sensor group nodes together form a wireless sensor network for sensing and collecting real-time environment information, the real-time environment information collected by the sensor group nodes is finally transmitted to the base station, and then the base station transmits the received indoor environment data to the control center; the method comprises the following specific steps:
s11: when the distance between the sensor group node and the base station is smaller than a set distance threshold value, the sensor group node directly sends real-time environment information to the base station;
s12: when the distance between the sensor group node and the base station is larger than a set distance threshold value, the sensor node sends the real-time environment information to the base station in a multi-hop forwarding mode; the wireless sensor network technology is utilized to collect indoor real-time environmental information, so that the trouble of wiring is avoided, and the intelligent and quick effects are achieved;
the sensor group comprises a temperature sensor, a humidity sensor, a carbon dioxide sensor and an illumination sensor; the environment adjusting module comprises a temperature adjusting module, a humidity adjusting module, a carbon dioxide adjusting module and an illumination adjusting module; the control center is in control connection with the temperature adjusting module, the humidity adjusting module, the carbon dioxide adjusting module and the illumination adjusting module;
the environment monitoring module also comprises a human body infrared detector which is used for detecting whether a person is in the room; the environment adjusting module comprises the following specific working steps:
s21: the human body infrared detector detects whether a person is in the room, if no person exists in the room, the control center controls the intelligent home to be closed, and the intelligent door and window are locked;
s22: if the person exists, the environment monitoring module acquires indoor real-time environment information and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the control center compares the real-time environment information with preset environment information;
s23: when the real-time temperature information exceeds or is lower than the preset environment information, the control center drives and controls the temperature adjusting module to adjust the temperature to be within the range of the preset environment information;
s24: when the real-time humidity information exceeds or is lower than the preset environment information, the control center drives and controls the humidity adjusting module to adjust the humidity to be within the range of the preset environment information;
s25: when the real-time carbon dioxide concentration information exceeds the preset environmental information, the control center drives and controls the carbon dioxide adjusting module to adjust the carbon dioxide concentration to be within the preset environmental information range;
s26: when the real-time illuminance information is lower than the preset environment information, the control center drives and controls the illumination adjusting module to adjust the illuminance to be within the range of the preset environment information;
the collected indoor real-time environmental information is analyzed and processed, the environment adjusting module is controlled to operate according to the indoor real-time environmental information, the household temperature, humidity, illuminance and air circulation can be adjusted, people can enjoy comfortable environment when returning home, and the intelligent household temperature adjusting device is simple in structure and high in practicability;
the data acquisition module is used for acquiring sign data of a user within a preset time period and transmitting the sign data of the user to the data analysis module, and the sign data of the user comprises the body temperature of the user, the heartbeat frequency of the user, the blood pressure value of the user, the sweating of the user and the like; the data analysis module is used for receiving the physical sign data of the user, analyzing and processing the physical sign data of the user and obtaining a pleasure value of the user, and the specific analysis process is as follows:
x1: acquiring each physical sign data of a user in a preset time period, specifically acquiring initial time information for starting timing, and marking the initial time information as G1;
x2: acquiring real-time sign data of initial time G1, and marking the real-time sign data corresponding to the G1 time as a normal value C1i of the sign data; n =1.. N; i represents the ith physical sign data;
x3: calculating end time according to a preset time period, marking the end time as G2, and enabling G2-G1 to be equal to the preset time; acquiring each item of physical sign data of the user corresponding to G2 time, and marking the physical sign data as C2i;
x4: each sign data has different weights, namely H1, H2, … …, hj, H1 > H2 > … … > Hj, and H1+ H2+ … … + Hj =1; wherein i and j correspond one to one;
x5: calculating the mood pleasure value of the user according to the change of the physical sign data of the user, and utilizing a formula:
Figure 597054DEST_PATH_IMAGE001
calculating to obtain a mood delight value Y of the user;
x6: the data analysis module transmits the mood delight value Y of the user to the control center, the control center receives the mood delight value Y and selects a first scene mode matched with the mood delight value Y from the appointed mapping relation table, and then the control center controls the intelligent home equipment to adjust the running state of the intelligent home to the first scene mode, and the specific steps are as follows:
x61: determining the mood delight value interval in which the mood delight value Y is positioned in the specified mapping relation table;
x62: acquiring corresponding intelligent home setting content in a first scene mode according to the joyful mood value interval;
x63: the control center sends a first adjusting instruction to the intelligent home equipment, wherein the first adjusting instruction carries the intelligent home setting content in a first scene mode;
x64: the intelligent home equipment adjusts the running state of the intelligent home to the first scene mode;
the joyful value of the mood of the user is obtained through the change of the sign data of the user, so that the running state of the intelligent home is effectively adjusted in real time, the control of the intelligent home can give attention to the mood, and a better using effect is brought to the user;
the equipment management module comprises a configuration unit, a creation unit and an editing unit;
the configuration unit is used for pre-configuring equipment information of each intelligent home equipment, and the equipment information comprises the function attribute of each intelligent home equipment;
the creating unit is used for creating a plurality of scene modes according to the requirements of users;
the editing unit is respectively connected with the configuration unit and the creation unit and is used for respectively acquiring the equipment information of each intelligent household equipment and each scene mode and adding the equipment information of each intelligent household equipment to the corresponding scene mode; correlating the mood pleasure value range with the scene mode to generate a mapping relation table of the mood pleasure value and the scene mode;
the equipment management module further comprises a memory unit and an early warning unit, wherein the memory unit is used for recording the use record of each intelligent household equipment and transmitting the use record of each intelligent household equipment to the early warning unit, and meanwhile, the memory unit marks a unique number for each intelligent household equipment; the usage record comprises an on time and an off time for each usage; the early warning unit receives the use record of each intelligent household device and analyzes and processes the use record, and the method comprises the following specific steps:
s31: acquiring a use record of each intelligent household device 60 days before the current time of the system; counting the use times of each intelligent household device, and marking the use times as Cm; m =1,2, …, h; wherein m represents the mth intelligent household equipment;
s32: marking the on-time of each use of the intelligent household equipment as T1mx, and marking the off-time of each use of the intelligent household equipment as T2mx, x =1,2, …, cm; obtaining the duration time Tmx of each use of the intelligent household equipment, wherein Tmx = T2mx-T1mx;
s33: marking the current time of the system as T
Figure 506105DEST_PATH_IMAGE002
(ii) a Using formulas
Figure 310113DEST_PATH_IMAGE003
Calculating to obtain the aging value of each usage record
Figure 242297DEST_PATH_IMAGE004
(ii) a Wherein σ is a preset coefficient factor;
s34: using formulas
Figure 586690DEST_PATH_IMAGE005
Calculating a buffer value of adjacent usage records, wherein a = x-1;
s35: using formulas
Figure 553509DEST_PATH_IMAGE006
Calculating to obtain a loss value Fm of the intelligent household equipment;
s36: when the loss value Fm is larger than a preset value, the early warning unit generates an early warning signal and transmits the early warning signal to the control center;
the control center receives the early warning signals and the corresponding intelligent household equipment numbers and sends each intelligent household equipment to the mobile phone end of the user, the customer is prompted to maintain and overhaul the intelligent household equipment corresponding to the numbers, the service life of the equipment is prolonged, and loss caused by sudden failure and shutdown of the household equipment is avoided.
The instruction receiving module is used for receiving a control instruction which is actively sent to the smart home by a user; and generating a new mapping relation according to the active control instruction and the corresponding user mood pleasure value, and storing the mapping relation into a mapping relation table.
When the intelligent home control system based on the Internet of things and cloud computing works, whether people exist in a room or not is detected through a human body infrared detector, if no people exist in the room, the control center controls the intelligent home to be closed, and an intelligent door and window are locked; if the person exists, the environment monitoring module acquires indoor real-time environment information and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the control center compares the real-time environment information with preset environment information and automatically drives the control environment adjusting module to adjust the environment when the real-time environment information exceeds or is lower than the preset environment information; people can enjoy comfortable environment when returning home, the structure is simple, and the practicability is strong; the environment monitoring module utilizes the wireless sensor network technology to collect indoor real-time environment information, avoids the trouble of wiring and is intelligent and rapid;
the data acquisition module acquires the physical sign data of a user within a preset time period and transmits the physical sign data of the user to the data analysis module, wherein the physical sign data of the user comprises the body temperature of the user, the heartbeat frequency of the user, the blood pressure value of the user, the sweating of the user and the like; the data analysis module is used for receiving the physical sign data of the user, analyzing and processing the physical sign data of the user and obtaining a mood pleasure value Y of the user according to a related algorithm; the data analysis module transmits the mood pleasure value Y of the user to the control center, the control center receives the mood pleasure value Y and selects a first scene mode matched with the mood pleasure value Y from the appointed mapping relation table, and then the control center controls the intelligent home equipment to adjust the running state of the intelligent home to the first scene mode; therefore, the running state of the intelligent home can be effectively adjusted in real time, the intelligent home can be controlled to give consideration to feelings, and a better using effect is brought to a user;
the equipment management module also comprises a memory unit and an early warning unit, wherein the memory unit is used for recording the use record of each intelligent household equipment and transmitting the use record of each intelligent household equipment to the early warning unit, and meanwhile, the memory unit marks a unique number for each intelligent household equipment; the usage record comprises an on time and an off time for each usage; the early warning unit receives the use record of each intelligent household device, analyzes and processes the use record, and obtains a loss value Fm of the intelligent household device according to a relevant algorithm; when the loss value Fm is larger than a preset value, the early warning unit generates an early warning signal and transmits the early warning signal to the control center; the control center receives the early warning signal and the number of the corresponding intelligent household equipment and sends the early warning signal and the number of the corresponding intelligent household equipment to the mobile phone end of the user, so that the user is prompted to maintain and overhaul the intelligent household equipment corresponding to the number, the service life of the equipment is prolonged, and the loss caused by sudden failure and shutdown of the household equipment is avoided;
the user can also actively send a control instruction to the smart home through the instruction receiving module; and generating a new mapping relation according to the active control instruction and the corresponding user mood pleasure value, and storing the mapping relation into a mapping relation table to provide more choices for the user.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (5)

1. The intelligent home control system based on the Internet of things and cloud computing is characterized by comprising an environment monitoring module, an environment adjusting module, a Zigbee coordinator, an instruction receiving module, a data acquisition module, a data analysis module, a control center, a cloud platform and an equipment management module;
the environment monitoring module is arranged indoors and used for monitoring indoor real-time environment information in real time and sending the acquired real-time environment information to the control center through a Zigbee wireless network; the control center is used for comparing the real-time environment information with preset environment information and automatically driving the control environment adjusting module to adjust the environment when the real-time environment information exceeds or is lower than the preset environment information;
the environment adjusting module comprises a temperature adjusting module, a humidity adjusting module, a carbon dioxide adjusting module and an illumination adjusting module; the control center is in control connection with the temperature adjusting module, the humidity adjusting module, the carbon dioxide adjusting module and the illumination adjusting module;
the environment monitoring module comprises a human body infrared detector which is used for detecting whether a person is in a room; the environment adjusting module comprises the following specific working steps:
s21: the human body infrared detector detects whether a person is in the room, if no person exists in the room, the control center controls the intelligent home to be closed, and the intelligent door and window are locked;
s22: if the person exists, the environment monitoring module acquires indoor real-time environment information and sends the acquired real-time environment information to the control center through a Zigbee wireless network; the control center compares the real-time environment information with preset environment information;
s23: when the real-time temperature information exceeds or is lower than the preset environment information, the control center drives and controls the temperature adjusting module to adjust the temperature to be within the range of the preset environment information;
s24: when the real-time humidity information exceeds or is lower than the preset environment information, the control center drives and controls the humidity adjusting module to adjust the humidity to be within the range of the preset environment information;
s25: when the real-time carbon dioxide concentration information exceeds the preset environment information, the control center drives and controls the carbon dioxide adjusting module to adjust the carbon dioxide concentration to be within the range of the preset environment information;
s26: when the real-time illuminance information is lower than the preset environment information, the control center drives and controls the illumination adjusting module to adjust the illuminance to be within the range of the preset environment information;
the data acquisition module is used for acquiring the physical sign data of the user in a preset time period and transmitting the physical sign data of the user to the data analysis module, the data analysis module is used for receiving the physical sign data of the user and analyzing and processing the physical sign data of the user to obtain a happy mood value of the user, and the specific analysis process is as follows:
x1: acquiring each physical sign data of a user in a preset time period, specifically acquiring initial time information for starting timing, and marking the initial time information as G1;
x2: acquiring real-time sign data of initial time G1, and marking the real-time sign data corresponding to the G1 time as a normal value C1i of the sign data; n =1.. N; i represents the ith physical sign data;
x3: calculating end time according to a preset time period, marking the end time as G2, wherein G2-G1 are equal to the preset time; acquiring each item of physical sign data of the user corresponding to G2 time, and marking the physical sign data as C2i;
x4: each sign data has different weights, namely H1, H2, … …, hj, H1 > H2 > … … > Hj, and H1+ H2+ … … + Hj =1; wherein i and j correspond one to one;
x5: calculating the mood pleasure value of the user according to the change of the sign data of the user, and utilizing a formula:
Figure 673641DEST_PATH_IMAGE001
calculating to obtain a mood delight value Y of the user;
x6: the data analysis module transmits the mood delight value Y of the user to the control center, the control center receives the mood delight value Y and selects a first scene mode matched with the mood delight value Y from the appointed mapping relation table, and then the control center controls the intelligent home equipment to adjust the running state of the intelligent home to the first scene mode, and the specific steps are as follows:
x61: determining the mood delight value interval in which the mood delight value Y is positioned in the specified mapping relation table;
x62: acquiring corresponding intelligent home setting content in a first scene mode according to the mood joyful value interval;
x63: the control center sends a first adjusting instruction to the intelligent home equipment, wherein the first adjusting instruction carries the intelligent home setting content in a first scene mode;
x64: the intelligent home equipment adjusts the running state of the intelligent home to the first scene mode;
the equipment management module comprises a memory unit and an early warning unit, wherein the memory unit is used for recording the use record of each intelligent household equipment and transmitting the use record of each intelligent household equipment to the early warning unit, and meanwhile, the memory unit marks a unique number for each intelligent household equipment; the usage record comprises an on time and an off time for each usage; the early warning unit receives the use record of each intelligent household device and analyzes and processes the use record, and the method comprises the following specific steps:
s31: acquiring a use record of each intelligent household device 60 days before the current time of the system; counting the use times of each intelligent household device, and marking the use times as Cm; m =1,2, …, h; wherein m represents the mth intelligent household equipment;
s32: marking the on-time of each use of the intelligent household equipment as T1mx, and marking the off-time of each use of the intelligent household equipment as T2mx, x =1,2, …, cm; obtaining the duration Tmx of each use of the intelligent household equipment, wherein Tmx = T2mx-T1mx;
s33: marking the current time of the system as T
Figure 815910DEST_PATH_IMAGE002
(ii) a Using formulas
Figure 920263DEST_PATH_IMAGE003
Calculating to obtain the aging value of each usage record
Figure 718455DEST_PATH_IMAGE004
(ii) a Wherein
Figure 448514DEST_PATH_IMAGE005
Is a preset coefficient factor;
s34: using a formula
Figure 648551DEST_PATH_IMAGE006
Calculating to obtain a buffer value d (x) of adjacent usage recordsWherein a = x-1;
s35: using formulas
Figure 658226DEST_PATH_IMAGE007
Calculating to obtain a loss value Fm of the intelligent household equipment; wherein b1, b2, b3 and b4 are preset coefficient factors;
s36: when the loss value Fm is larger than a preset value, the early warning unit generates an early warning signal and transmits the early warning signal to the control center; and the control center receives the early warning signal and the corresponding intelligent household equipment number and sends the early warning signal and the corresponding intelligent household equipment number to a mobile phone end of a user so as to prompt the user to maintain and overhaul the intelligent household equipment.
2. The intelligent home control system based on the internet of things and cloud computing of claim 1, wherein the environment monitoring module comprises a plurality of sensor group nodes and a base station, the base station and the plurality of sensor group nodes together construct a wireless sensor network for sensing and collecting real-time environment information, the real-time environment information collected by the sensor group nodes is finally transmitted to the base station, and then the base station transmits the received indoor environment data to the control center; the method comprises the following specific steps:
s11: when the distance between the sensor group node and the base station is smaller than a set distance threshold value, the sensor group node directly sends real-time environment information to the base station;
s12: when the distance between the sensor group node and the base station is larger than a set distance threshold value, the sensor node sends the real-time environment information to the base station in a multi-hop forwarding mode;
the sensor group comprises a temperature sensor, a humidity sensor, a carbon dioxide sensor and an illumination sensor.
3. The intelligent home control system based on the internet of things and cloud computing of claim 1, wherein the equipment management module comprises a configuration unit, a creation unit and an editing unit;
the configuration unit is used for pre-configuring equipment information of each intelligent home equipment, and the equipment information comprises the function attribute of each intelligent home equipment;
the creating unit is used for creating a plurality of scene modes according to the requirements of users;
the editing unit is respectively connected with the configuration unit and the creation unit, and is used for acquiring the equipment information of each intelligent home equipment and each scene mode and adding the equipment information of each intelligent home equipment to the corresponding scene mode; and correlating the mood pleasure value range with the scene mode to generate a mapping relation table of the mood pleasure value and the scene mode.
4. The intelligent home control system based on the internet of things and cloud computing of claim 1, wherein the instruction receiving module is configured to receive a control instruction that a user actively sends to an intelligent home; and generating a new mapping relation according to the active control instruction and the corresponding user mood pleasure value, and storing the mapping relation into a mapping relation table.
5. The intelligent home control system based on the internet of things and cloud computing as claimed in claim 1, wherein the control center is further configured to transmit real-time environment information to a cloud platform, and the cloud platform is configured to store the real-time environment information; the real-time environment information comprises temperature information, humidity information, carbon dioxide concentration information and illumination information; the physical sign data of the user comprises the body temperature of the user, the heartbeat frequency of the user, the blood pressure value of the user and the sweating of the user.
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