CN117270412B - Intelligent home control system based on wireless communication technology - Google Patents
Intelligent home control system based on wireless communication technology Download PDFInfo
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- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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Abstract
The invention discloses an intelligent home control system based on a wireless communication technology, relates to the technical field of intelligent home control, and aims to solve the problem that the current system is generally only based on static preset rules and cannot be intelligently adjusted according to personal requirements and dynamic environmental conditions, so that unnecessary energy waste is caused, and the family comfort is reduced. By collecting and analyzing historical data of households, a method of time period subdivision and frequency statistics is adopted to obtain regional daily indexes, so that the activity mode of the households is better understood. Finally, the comfort maintenance index is obtained through the integrated analysis of the logistic regression model and is used for judging which areas need to be kept comfortable in real time, and then the household control scheme is analyzed through the household analysis module, so that personalized and intelligent household control is realized, energy waste is reduced, and household comfort is improved.
Description
Technical Field
The invention relates to the technical field of intelligent home control, in particular to an intelligent home control system based on a wireless communication technology.
Background
Smart home control systems have now become part of modern households, which aim to improve convenience, safety and energy conservation in life. These systems integrate various home and facilities such as lighting, heating, cooling, security systems, and entertainment homes to provide a more comprehensive control of their home by the resident.
The wireless communication technology is used as the core of the intelligent home system, is connected with the Internet and provides wireless communication, can communicate with the intelligent, and transmits instructions to the corresponding intelligent home. The wireless communication technology is responsible for transmitting instructions and data to the smart home, and simultaneously transmitting home generated data back to the system, so that a resident can remotely control and monitor the smart home through wireless communication.
The prior art has the following defects:
with the increasing degree of intelligence in life, many households face problems when using intelligent home control systems, namely, the current systems are generally only based on static preset rules, and cannot be intelligently adjusted according to personal requirements and dynamic environmental conditions, which leads to unnecessary energy waste and reduced home comfort.
The present invention proposes a solution to the above-mentioned problems.
Disclosure of Invention
In order to overcome the defects in the prior art, the embodiment of the invention provides an intelligent home control system based on a wireless communication technology, and the purposes of adjusting comfort and optimizing energy consumption only are achieved through intelligent home control so as to solve the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent home control system based on a wireless communication technology comprises a data acquisition module, a data processing module, a comfort area analysis module, a home analysis module and a home control module, wherein signal connection exists among the modules;
and a data acquisition module: the system is used for connecting various sensors through a wireless communication technology, collecting the entering time and the leaving time in real time, monitoring the household energy consumption, the household state and the real-time temperature in real time, sending the entering time and the leaving time to the data processing module, and sending the household energy consumption, the household state and the real-time temperature to the household analysis module;
and a data processing module: the resident data are analyzed through the entering time and the leaving time; storing all the acquired entering time and exiting time and collectively referring to historical data, predicting the behavior data of the resident through historical data analysis, and transmitting the resident data and the resident behavior data to a comfort area analysis module;
comfort zone analysis module: the household control module is used for comprehensively analyzing resident data and resident behavior data to obtain a region needing to be kept in comfort level, and sending the region needing to be kept in comfort level to the household control module;
and a household analysis module: the system is used for receiving household energy consumption, household state and real-time temperature, and analyzing comfort level through the real-time temperature; analyzing the number of the influence areas of the home by the real-time temperature and the home state; analyzing the energy consumption efficiency of the house through the house state and the house energy consumption; analyzing the influence effect of the home on the real-time temperature through the real-time temperature and the home state; comprehensively analyzing the priority of the household control according to the number of the influence areas of the household, the energy consumption efficiency of the household and the influence effect of the household on the real-time temperature, and sending the priority and the comfort of the household control to a household control module;
and the household control module is used for: the automatic opening scheme of the home is designed according to the priority of the home control, the region needing to be kept with the comfort, the real-time temperature and the comfort.
In a preferred embodiment, the data acquisition module marks and records all the households as a household set through a wireless communication technology; marking and recording all areas as an area set by a wireless communication technology, and acquiring real-time by the wireless communication technology;
the data acquisition module records the time when the resident enters and leaves each area, and the data acquisition module records the time and the area identification when the resident enters and leaves the area;
the data acquisition module is connected with the digital temperature sensor through a wireless communication technology and monitors real-time temperature;
the data acquisition module monitors household energy consumption of each household through the socket-level electric energy monitor.
In a preferred embodiment, the data processing module calculates the dwell time by subtracting the entry time and the exit time and records the dwell area;
the data processing module analyzes the departure time length through the departure time and the real-time, and the following analysis method is as follows: recording is started from the residence leaving area, the residence grows along with the growth of real-time, when the residence returns to the area, the recording is stopped, the value of the leaving time length is reset to zero, and when the leaving time length is larger than a preset threshold value of the leaving time length, the value of the leaving time length is recorded to be positive infinity, and the recording is stopped;
the data processing module obtains resident residence data by dividing the residence time by the sum of the residence time and the leaving time;
the data processing module integrates the historical data, and obtains the occurrence times of regional households and the occurrence times of total regional households by sequentially adding and recording;
the data processing module is used for obtaining behavior data of the households by dividing the occurrence times of the regional households by the occurrence times of the total regional households;
when the collected historical regional resident occurrence number and total regional resident occurrence number are larger than a preset data quantity critical threshold, removing the highest value and the lowest value of the regional resident occurrence number and the total regional resident occurrence number, respectively obtaining the real regional resident occurrence number and the real total regional resident occurrence number in an average value mode, and finally dividing the real regional resident occurrence number by the real total regional resident occurrence number to analyze and obtain the behavior data of the resident.
In a preferred embodiment, the home analysis module analyzes the monitored real-time temperature map for comfort;
the household analysis module determines an influence area of the household by changing the household state in the area needing to keep the comfort level and monitoring whether the real-time temperature changes or not, and when the real-time temperature of the area changes due to the change of the household state, the real-time temperature change area is regarded as the influence area of the household; adding the number of the influence areas of the home to obtain the number of the influence areas of the home;
the household analysis module acquires the real-time temperature change by changing the household state in the region needing to keep the comfort level and standardizes the real-time temperature change to obtain the effect of the household on the real-time temperature;
the household analysis module records household energy consumption of the household in the area where the comfort level is required to be kept, and divides the household energy consumption by the household energy consumption time to obtain the household energy consumption efficiency.
In a preferred embodiment, the home control module receives the priority of the home control, the region needing to keep the comfort, and the comfort, when the region is the region needing to keep the comfort, the home with the highest home control priority in the region needing to keep the comfort is preferentially opened, the comfort of the comfort keeping region is improved, when the comfort of the comfort keeping region is still smaller than the preset comfort threshold, the second highest home with the home control priority is opened, and the like until the comfort of the region needing to keep the comfort is larger than the preset comfort threshold; when the area is no longer the area where comfort needs to be maintained, all homes are shut down.
The intelligent home control system based on the wireless communication technology has the technical effects and advantages that:
1. the resident data of each area are analyzed by monitoring the entering time and the leaving time in real time. Meanwhile, historical data are analyzed, and a time period subdivision and frequency statistics method is adopted to obtain behavior data of the households, so that the activity modes of the households are better understood. Finally, the resident data and resident behavior data are analyzed through integration of the logistic regression model, and the region where comfort level needs to be kept is obtained, so that personalized and intelligent home control is realized, and energy waste is reduced.
2. According to the invention, by introducing the home analysis module, a more intelligent and efficient home control scheme is realized. According to the number of influence areas of the home, the energy consumption efficiency of the home and the influence effect design scheme of the home on real-time temperature, the most suitable home is automatically selected on the premise of meeting the comfort level, so that the energy consumption is reduced and the home comfort level is improved. The intelligent household control system is beneficial to personalized intelligent household control, reduces energy expenditure, and provides a more intelligent and environment-friendly living experience.
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Fig. 1 is a schematic structural diagram of an intelligent home control system based on a wireless communication technology.
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.
Example 1:
FIG. 1 shows an intelligent home control system based on a wireless communication technology, which comprises a data acquisition module, a data processing module, a comfort area analysis module, a home analysis module and a home control module, wherein signal connection exists among the modules;
and a data acquisition module: the system is used for connecting various sensors through a wireless communication technology, collecting the entering time and the leaving time in real time, monitoring the household energy consumption, the household state and the real-time temperature in real time, sending the entering time and the leaving time to the data processing module, and sending the household energy consumption, the household state and the real-time temperature to the household analysis module;
and a data processing module: the resident data are analyzed through the entering time and the leaving time; storing all the acquired entering time and exiting time and collectively referring to historical data, predicting the behavior data of the resident through historical data analysis, and transmitting the resident data and the resident behavior data to a comfort area analysis module;
comfort zone analysis module: the household control module is used for comprehensively analyzing resident data and resident behavior data to obtain a region needing to be kept in comfort level, and sending the region needing to be kept in comfort level to the household control module;
and a household analysis module: the system is used for receiving household energy consumption, household state and real-time temperature, and analyzing comfort level through the real-time temperature; analyzing the number of the influence areas of the home by the real-time temperature and the home state; analyzing the energy consumption efficiency of the house through the house state and the house energy consumption; analyzing the influence effect of the home on the real-time temperature through the real-time temperature and the home state; comprehensively analyzing the priority of the household control according to the number of the influence areas of the household, the energy consumption efficiency of the household and the influence effect of the household on the real-time temperature, and sending the priority and the comfort of the household control to a household control module;
and the household control module is used for: the automatic opening scheme of the home is designed according to the priority of the home control, the region needing to be kept with the comfort, the real-time temperature and the comfort.
Many households face problems when using smart home, and current systems are generally based on static preset rules only, and cannot intelligently adjust according to personal needs and dynamic environmental conditions, which results in unnecessary energy waste and reduced home comfort. The system carries out comfort level maintenance on the areas needing comfort level maintenance by identifying and classifying the areas of the families, and the households of the rest areas are closed, so that the energy consumption is reduced, and the specific steps are as follows.
And (3) home identification: all the households are marked and recorded as a household set M through a wireless communication technology so as to accurately control specific households.
Region label: all areas are marked and recorded as one area set N through a wireless communication technology so as to monitor and control the home in the area.
And (3) time acquisition: the real-time t is acquired by a wireless communication technology.
The data acquisition module of the system establishes a connection with household activity sensors (such as infrared sensors, cameras, sound sensors and the like) in all areas through a wireless communication technology, and the activities of the households are monitored in real time by using the sensor technology.
When a resident enters or leaves a certain area, the data acquisition module records the entering time and the leaving time. By usingThe entry time of the entry region j is indicated by +.>The representation represents the departure times from zone j, which can help the system track the movement of the households and determine their activity zone.
Examples: if the resident enters the kitchen (area a) 8 a.m., the system should record the entry time at that time。
Data processing moduleThe block calculates the residence time of the resident in each zone and associates with the corresponding zone. The stay time shows the activity intensity of the resident in different areas, andthe representation shows the residence time in the region j, and the calculation method of the residence time is as follows: />In the formula->For entering the entry moment of the region j, +.>A departure time for the departure area j; setting a stay time threshold, and recording the value of the stay time as zero when the distance from the departure time to the real-time span is larger than the preset stay time threshold.
The data processing module calculates the leaving time length of the resident leaving each area, records from the resident leaving area, grows along with the growth of real-time, stops recording when the resident returns to the area, and resets the value of the leaving time length to zero; setting a departure time length threshold, recording the value of the departure time length as positive infinity and stopping recording when the departure time length is larger than the preset departure time length threshold, usingThe method for calculating the departure time length of the region j comprises the following steps: />Wherein t is real time, < >>The departure time for the departure area j.
Examples: if the resident leaves the room 102 for up to 30 minutes, the data processing module calculates this time period. Setting upThe departure time threshold of (2) is 60 minutes, if the resident leaves the guest room 103 (zone z) for more than 60 minutes, the resident departure time is recorded +.>。
The data processing module analyzes the leaving time and the stay time of each area to obtain resident data, namely resident retention index, which shows whether the resident is active in the area or not, and the resident retention index can be calculated by the following formula:in the formula->Resident retention index for zone j, +.>For the dwell time of zone j, +.>Is the departure time of the region j.
It should be noted that the above formula compares the residence time with the departure time, and the residence index obtained is a value between 0 and 1, which indicates whether the residence is moving in the area, 1 indicates that the residence is still in the area, and 0 or infinitely close to 0 indicates that the residence is not returning to the area or moving in the area.
And calculating the residence index of each area by monitoring the entering time and the leaving time in real time. Thereby providing a targeted control basis for the intelligent home control system.
The data acquisition module stores the entry time and the exit time recorded by the households in all areas and all times, and the entry time and the exit time are collectively called historical data.
Data acquisition purposes: the habit and activity modes of the resident in different areas are known, so that the behavior of the resident can be predicted in advance.
Time window setting: setting a time interval, dividing the time into equidistant time windowsThe method comprises the steps of carrying out a first treatment on the surface of the A date period L is defined representing the period of the household activity.
For example: setting the time interval to be half an hour, the date period to be one week, then at 17 on monday: 12 and 17: the time window for both time points 29 is 17.5, in which case the time window for the household activity time ranges from 0.5 to 168, 168=24×7.
Time window purpose: distinguishing between different time periods enables the system to more accurately predict the activity of the resident.
The data processing module analyzes the historical data to obtain the number of times of regional households, and usesRepresentation, representing that the resident is in the time window +.>Number of occurrences in region j.
The data processing module analyzes the historical data to obtain the number of times of the occurrence of households in the total area, and usesRepresentation, representing that the resident is in the time window +.>Appear in regional set->Is a number of times (1).
Dividing the number of occurrences of the regional households in the same time window by the number of occurrences of the total regional households to calculate behavior data of the households, wherein the behavior data of the households is regional daily index, and the regional daily index can be calculated by the following modes:in the formula->To be at the time ofWindow->Zone->Regional daily index of>For the resident in the time window->Number of occurrences in region j, +.>For the resident in the time window->Appear in regional set->Based on frequency statistics, this formula represents the relative frequency of the presence of a resident in a region over a particular time window, which can be used to calculate a region daily index for the region.
It should be noted that, as the time of using the system by the householder increases, the collected historical data of the householder is more and more, the prediction of the behavior of the householder is more and more accurate, the original area daily index calculation formula is only a behavior analysis method in the initial stage of using the household, and as the historical data is abundant, the historical data is usually defaulted to be more than 4 date periods, and the system has a plurality of time periodsAnd->The data processing module analyzes and obtains the number of times of occurrence of real-area households which are more in line with the behaviors of the households>Indicating (I)>To remove +.>The highest value and the lowest value of (2) are obtained by taking an average value; the homonymy data processing module analyzes and obtains the actual total regional resident occurrence number which better accords with resident behaviors, and usesIndicating (I)>To remove +.>And then taking the average value. The regional daily index is calculated and updated to +.>。
According to the method, historical data of households are collected and analyzed, and the method of time period subdivision and frequency statistics is adopted to obtain the daily regional index, so that the intelligent household control system is helped to better understand and predict the demands and behaviors of the households, and the intelligence and the adaptability of the system are improved.
The comfort zone analysis module receives the resident retention index and the daily zone index from the data processing module to integrate and analyze to calculate a comfort retention index, wherein the comfort retention index is used for judging whether the zone needs to retain comfort in real time, and the following is an integration scheme, and the resident retention index and the daily zone index are integrated by using a logistic regression model to obtain the comfort retention index:in the formula->An index is maintained for the comfort of zone j,is a logistic regression modelParameters of the type for adjusting->And->Influence of (1)>Resident retention index for zone j, +.>For being in the time window->Zone->Is a regional daily index of (c).
It should be noted that the logistic regression model is represented by using sigmoid curve functionThis allows a more complex nonlinear relationship, +.>The value of (2) is in the range of 0 to 1.
Setting a critical threshold of the comfort retention index, and when the comfort retention index of the region is larger than the critical threshold of the comfort retention index in all regions in real time, classifying the region with the comfort retention index larger than the critical threshold of the comfort retention index as a region needing to keep the comfort level, and a region needing to keep the comfort level and the comfort retention region.
The embodiment adopts a comprehensive data acquisition and analysis method, and analyzes resident data of each area by monitoring the entering time and the leaving time in real time. Meanwhile, historical data are analyzed, and a time period subdivision and frequency statistics method is adopted to obtain behavior data of the households, so that the activity modes of the households are better understood. Finally, the resident data and resident behavior data are analyzed through integration of the logistic regression model, and the region where comfort level needs to be kept is obtained, so that personalized and intelligent home control is realized, and energy waste is reduced.
Example 2:
in embodiment 1, the technical problem still exists, and embodiment 1 only describes how to divide the area needing to keep the comfort level, and does not mention the comfort level obtaining method and the specific control method of the smart home, so that an intelligent home analysis module is needed to intelligently analyze a solution of keeping the comfort level in the area needing to keep the comfort level according to the number of influence areas of the home, the energy consumption efficiency of the home and the influence effect of the home on the real-time temperature, and through automatic adjustment, the energy efficiency is improved, the energy consumption is reduced, and more personalized smart home control experience is provided.
Firstly, the comfort level to be maintained in the comfort level maintaining area is determined, the comfort level maintaining area is mainly embodied in the attribute direction of temperature, and the following is a comfort level obtaining scheme: the digital temperature sensor is used for acquiring real-time temperature, the digital temperature sensor is connected with the data acquisition module through a wireless communication technology to acquire data, the real-time temperature is sent to the data processing module, and the real-time temperature is usedIndicating (I)>Expressed as area->Is used for the temperature control of the temperature sensor.
Comfort is defined for the temperature, the real-time temperature is mapped to a comfort level, the influence of the real-time temperature on the area is reflected, and a comfort level acquisition method is as follows:in the formula->Comfort for region j +.>Is the most suitable temperature>Expressed as area +.>The closer the real-time temperature of the zone is to the most suitable temperature, the higher the comfort.
Setting a comfort thresholdIf the region j is the comfort maintaining region, the home control module is required to control the home to control the comfort level of the region j to be at the comfort level threshold +.>Above.
The influence range of the home is determined by changing the home state in the comfort keeping area and monitoring whether the real-time temperature of each area changes or not, and when the real-time temperature of the area changes due to the change of the home state, the real-time temperature changing area is regarded as the influence area of the home.
And adding the number of the areas of the influence area of the home to obtain the number of the influence area of the home so as to be used in calculation.
And (3) performing a series of simulation experiments to simulate the running conditions of different households under various temperature conditions, and collecting the data of real-time temperature change. These experiments require coverage of all operating parameter ranges of the home.
The household analysis module acquires the real-time temperature change of the comfort maintaining area through changing the household state in the comfort maintaining area, and standardizes the real-time temperature change to obtain the influence effect of the household on the real-time temperature, namely the household temperature effect parameter.
Based on the collected data of real-time temperature change, the temperature change data is standardized to obtain the household temperature effect parameters of each householdThe method is used for reflecting the influence of the household switch on the temperature. The data for the real-time temperature change can be brought into the following standardized formula: />Wherein->Is standardized standard data, +.>For average data, +.>Is the data minimum, +.>Data maximum.
Examples: for air conditioning home, experiments can be performed under different indoor temperature conditions, and changes of indoor temperature are recorded to determine the cooling effect. And calculating the household temperature effect parameters of the air conditioner by using the temperature change data.
It should be noted that the corresponding main body of the home temperature effect parameter is not a specific home, but a home state, for example, two home states of 26 degrees of air conditioner and 20 degrees of air conditioner.
The household analysis module is connected with the socket-level electric energy monitor through a radio communication technology and collects household energy consumption of each household. For each home, recording the home energy consumption and the home energy consumption duration of the home over a period of time, and integrating the home energy consumption and the home energy consumption to obtain the energy consumption efficiency of the home, wherein the energy consumption efficiency of the home is the home energy consumption coefficient.
The following formula may be used to calculate the household energy consumption coefficient for household i in the comfort zone:in the formula->Is home toHousehold energy consumption coefficient of living being, +.>Household energy consumption for household i +.>And the energy consumption time of the household i is long.
The household control priority is integrated and analyzed through the quantity of household influence areas, household temperature effect parameters and household energy consumption coefficients in the comfort maintenance area, and the household control priority can be obtained through the following scheme:in the formula->Control priority for home i home,/home>Is a proportional parameter->Household temperature effect parameters for household i, < >>Number of home influence areas for home i, +.>The household energy consumption coefficient of the household i.
The household control module receives the priority of household control, the region needing to be kept with the comfort level and the comfort level, when the region is the region needing to be kept with the comfort level, the household with the highest household control priority in the region needing to be kept with the comfort level is preferentially opened, the comfort level of the comfort keeping region is improved, when the comfort level of the comfort keeping region is still smaller than a preset comfort level threshold value, the household with the second highest household control priority is opened, and the like until the comfort level of the region needing to be kept with the comfort level is larger than the preset comfort level threshold value; when the area is no longer the area where comfort needs to be maintained, all homes are shut down.
In embodiment 2 of the present embodiment, by introducing a home analysis module, a more intelligent and efficient home control scheme is realized. According to the method, the most suitable home can be automatically selected on the premise of meeting the temperature range according to the influence range, the effect and the energy consumption of each home, so that the energy consumption is reduced and the comfort level of the home is improved. The technical innovation is beneficial to personalized intelligent home control, reduces energy expenditure, and provides a more intelligent and environment-friendly living experience.
The formulas are all dimensionality-removed numerical calculation, the formulas are each formulas for acquiring a large amount of data and performing software simulation to obtain the latest real situation, and preset parameters in the formulas are set by a person skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In addition, each functional module in the embodiments of the present application may be integrated in each processing module, or each module may exist alone physically, or two or more modules may be integrated in each module.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (3)
1. An intelligent home control system based on a wireless communication technology is characterized in that: the system comprises a data acquisition module, a data processing module, a comfort area analysis module, a home analysis module and a home control module, wherein the modules are connected by signals;
and a data acquisition module: the system is used for connecting various sensors through a wireless communication technology, collecting the entering time and the leaving time in real time, monitoring the household energy consumption, the household state and the real-time temperature in real time, sending the entering time and the leaving time to the data processing module, and sending the household energy consumption, the household state and the real-time temperature to the household analysis module;
and a data processing module: the resident data are analyzed through the entering time and the leaving time; storing all the acquired entering time and exiting time and collectively referring to historical data, predicting the behavior data of the resident through historical data analysis, and transmitting the resident data and the resident behavior data to a comfort area analysis module;
comfort zone analysis module: the household control module is used for comprehensively analyzing resident data and resident behavior data to obtain a region needing to be kept in comfort level, and sending the region needing to be kept in comfort level to the household control module;
and a household analysis module: the system is used for receiving household energy consumption, household state and real-time temperature, and analyzing comfort level through the real-time temperature; analyzing the number of the influence areas of the home by the real-time temperature and the home state; analyzing the energy consumption efficiency of the house through the house state and the house energy consumption; analyzing the influence effect of the home on the real-time temperature through the real-time temperature and the home state; comprehensively analyzing the priority of the household control according to the number of the influence areas of the household, the energy consumption efficiency of the household and the influence effect of the household on the real-time temperature, and sending the priority and the comfort of the household control to a household control module;
and the household control module is used for: the automatic opening scheme of the home is designed according to the priority of the home control, the region needing to be kept with the comfort, the real-time temperature and the comfort;
the data acquisition module marks all the households through a wireless communication technology and records the households as a household set; marking and recording all areas as an area set by a wireless communication technology, and acquiring real-time by the wireless communication technology;
the data acquisition module records the time when the resident enters and leaves each area, and the data acquisition module records the time and the area identification when the resident enters and leaves the area;
the data acquisition module is connected with the digital temperature sensor through a wireless communication technology and monitors real-time temperature;
the data acquisition module monitors the household energy consumption of each household through the socket-level electric energy monitor;
the data processing module calculates the stay time through subtracting the entering time and the leaving time, and records the stay area;
the data processing module analyzes the departure time length through the departure time and the real-time, and the following analysis method is as follows: recording is started from the residence leaving area, the residence grows along with the growth of real-time, when the residence returns to the area, the recording is stopped, the value of the leaving time length is reset to zero, and when the leaving time length is larger than a preset threshold value of the leaving time length, the value of the leaving time length is recorded to be positive infinity, and the recording is stopped;
the data processing module obtains resident residence data through proportional analysis on the leaving time length and the residence time length;
the data processing module integrates the historical data, and obtains the occurrence times of regional households and the occurrence times of total regional households by sequentially adding and recording;
the data processing module is used for obtaining behavior data of the households by dividing the occurrence times of the regional households by the occurrence times of the total regional households;
when the collected historical regional resident occurrence number and total regional resident occurrence number are larger than a preset data quantity critical threshold, removing the highest value and the lowest value of the regional resident occurrence number and the total regional resident occurrence number, respectively obtaining the real regional resident occurrence number and the real total regional resident occurrence number in an average value mode, and finally dividing the real regional resident occurrence number by the real total regional resident occurrence number to analyze and obtain behavior data of the resident;
the household analysis module determines an influence area of the household by changing the household state in the area needing to keep the comfort level and monitoring whether the real-time temperature changes or not, and when the real-time temperature of the area changes due to the change of the household state, the real-time temperature change area is regarded as the influence area of the household; and adding the number of the influence areas of the home to obtain the number of the influence areas of the home.
2. The smart home control system based on the wireless communication technology of claim 1, wherein: the household analysis module is used for obtaining comfort level through real-time temperature mapping analysis of monitoring;
the household analysis module acquires the real-time temperature change by changing the household state in the region needing to keep the comfort level and standardizes the real-time temperature change to obtain the effect of the household on the real-time temperature;
the household analysis module records household energy consumption of the household in the area where the comfort level is required to be kept, and divides the household energy consumption by the household energy consumption time to obtain the household energy consumption efficiency.
3. The smart home control system based on the wireless communication technology of claim 2, wherein: the household control module receives the priority of household control, the region needing to be kept with the comfort level and the comfort level, when the region is the region needing to be kept with the comfort level, the household with the highest household control priority in the region needing to be kept with the comfort level is preferentially opened, the comfort level of the comfort keeping region is improved, when the comfort level of the comfort keeping region is still smaller than a preset comfort level threshold value, the household with the second highest household control priority is opened, and the like until the comfort level of the region needing to be kept with the comfort level is larger than the preset comfort level threshold value; when the area is no longer the area where comfort needs to be maintained, all homes are shut down.
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