CN117270412B - Intelligent home control system based on wireless communication technology - Google Patents

Abstract

The invention discloses a smart home control system based on wireless communication technology, which relates to the field of smart home control technology and is used to solve the problem that the current system is usually only based on static preset rules and cannot make intelligent adjustments according to personal needs and dynamic environmental conditions. This results in unnecessary waste of energy and reduced home comfort. By collecting and analyzing historical data of households, using time period segmentation and frequency statistics methods, regional daily indexes are obtained to better understand household activity patterns. Finally, through the integrated analysis of the logistic regression model, the comfort maintenance index is obtained, which is used to determine which areas need to maintain comfort in real time. Then, through the home analysis module, the home control scheme is analyzed, thereby achieving personalized and intelligent home control. Reduce energy waste and improve home comfort.

Description

A smart home control system based on wireless communication technology

Technical field

The present invention relates to the technical field of smart home control, and more specifically, the present invention relates to a smart home control system based on wireless communication technology.

Background technique

Nowadays, smart home control systems have become part of the modern home, and they are designed to improve the convenience, safety and energy saving of life. These systems integrate various home furnishings and amenities such as lighting, heating, cooling, security systems and entertainment furnishings to provide residents with more complete control over their home.

As the core of the smart home system, wireless communication technology is connected to the Internet and provides wireless communication. It can communicate with the smart home and transmit instructions to the corresponding smart home. Wireless communication technology is responsible for transmitting instructions and data to smart homes, while transmitting home-generated data back to the system, which allows residents to remotely control and monitor smart homes through wireless communication.

Shortcomings of existing technology:

As life becomes more and more intelligent, the problem that many residents face when using smart home control systems is that the current system is usually only based on static preset rules and cannot make intelligent adjustments according to personal needs and dynamic environmental conditions. This results in unnecessary waste of energy and reduced home comfort.

In view of the above problems, the present invention proposes a solution.

Contents of the invention

In order to overcome the above-mentioned shortcomings of the prior art, embodiments of the present invention provide a smart home control system based on wireless communication technology. Through smart home control, the purpose of only adjusting comfort and optimizing energy consumption is achieved to solve the above-mentioned problems. Questions raised in Background Art.

In order to achieve the above objects, the present invention provides the following technical solutions:

A smart home control system based on wireless communication technology, including a data acquisition module, a data processing module, a comfort zone analysis module, a home analysis module, and a home control module, with signal connections between the modules;

Data acquisition module: used to connect various sensors through wireless communication technology, collect the entry and exit moments in real time, monitor home energy consumption, home status, and real-time temperature in real time, and send the entry and exit moments to the data processing module to collect the home energy. Consumption, home status, and real-time temperature are sent to the home analysis module;

Data processing module: used to analyze the data of residents staying through the entry time and departure time; store all the collected entry time and departure time and collectively call them historical data, predict the residents' behavioral data through historical data analysis, and calculate the residents' stay data. Data and resident behavior data are sent to the comfort zone analysis module;

Comfort zone analysis module: used to comprehensively analyze the resident's stay data and the resident's behavior data to identify areas that need to maintain comfort, and send the areas that need to maintain comfort to the home control module;

Home analysis module: used to receive home energy consumption, home status, and real-time temperature, and analyze the comfort level through real-time temperature; analyze the number of affected areas of the home through real-time temperature and home status; analyze home status and home energy consumption to analyze the home The efficiency of energy consumption; analyze the impact of home on real-time temperature through real-time temperature and home status; comprehensively analyze the impact of home control on the number of affected areas of the home, the efficiency of home energy consumption, and the impact of home on real-time temperature Priority, send the priority and comfort of home control to the home control module;

Home control module: used to receive the priority of home control, areas that need to maintain comfort, and comfort levels, and design an automatic opening plan for the home based on the priorities of home control, areas that need to maintain comfort, real-time temperature, and comfort levels.

In a preferred embodiment, the data collection module marks and records all homes as home collections through wireless communication technology; marks and records all areas as area collections through wireless communication technology, and obtains real-time time through wireless communication technology;

The data collection module records the time when residents enter and leave each area. When residents enter and leave the area, the data collection module records the time and area identification;

The data acquisition module connects to the digital temperature sensor through wireless communication technology to monitor real-time temperature;

The data acquisition module monitors the household energy consumption of each home through socket-level power monitors.

In a preferred embodiment, the data processing module calculates the length of stay by subtracting the time of entry and the time of departure, and records the stay area;

The data processing module analyzes the departure time through the departure moment and real-time time. The following is the analysis method: it starts recording when the resident leaves the area and increases with the real-time time. When the resident returns to the area, the recording stops and the departure duration value is reset to zero. When the resident leaves, When the duration is greater than the preset departure duration threshold, the value of the departure duration is recorded as positive infinity and recording stops;

The data processing module obtains the residence data by dividing the length of stay by the sum of the length of stay and the length of departure;

The data processing module integrates historical data and obtains the number of regional household occurrences and the total regional household occurrence times by sequentially adding records;

The data processing module analyzes and obtains the behavioral data of residents by dividing the number of occurrences of residents in the area by the number of occurrences of residents in the total area;

When the collected historical number of occurrences of regional households and the number of total regional households is greater than the preset critical threshold of data quantity, remove the highest and lowest values of the number of occurrences of regional households and the total number of regional households, and then use the average The method obtains the number of occurrences of households in the real area and the number of occurrences of households in the real total area. Finally, the behavioral data of the households are obtained by dividing the number of occurrences of households in the real area by the number of occurrences of households in the real total area.

In a preferred embodiment, the home analysis module analyzes the monitored real-time temperature mapping to obtain the comfort level;

The home analysis module determines the affected area of the home by changing the home state in the area where comfort needs to be maintained and monitoring whether the real-time temperature changes. When the change of the home state causes the real-time temperature of the area to change, the area where the real-time temperature changes will be Listed as the affected area of the home; add the number of affected areas of the home to obtain the number of affected areas of the home;

The home analysis module changes the home status in the area where comfort needs to be maintained, while collecting real-time temperature changes, and standardizing the real-time temperature changes to obtain the impact of the home on real-time temperature;

The home analysis module records the home energy consumption of the home in the area where comfort needs to be maintained, and divides the home energy consumption by the duration of the home energy consumption to obtain the home energy consumption efficiency.

In a preferred embodiment, the home control module receives the priority of home control, the area where comfort needs to be maintained, and the comfort level. When the area is an area where comfort needs to be maintained, the home control module in the area where comfort needs to be maintained is prioritized. Control the home with the highest priority and increase the comfort level in the comfort maintenance area. When the comfort level in the comfort maintenance area is still less than the preset comfort threshold, open the home with the second highest home control priority, and so on, until maintenance is required. Until the comfort level of the comfort area is greater than the preset comfort threshold; when the area is no longer an area that needs to maintain comfort, close all homes.

The technical effects and advantages of a smart home control system based on wireless communication technology of the present invention:

1. This invention analyzes the residence data of residents in each area through real-time monitoring of entry and departure times. At the same time, by analyzing historical data and using time period segmentation and frequency statistics methods, we can obtain household behavioral data to better understand household activity patterns. Finally, through the integration and analysis of the logistic regression model, the residents' stay data and the residents' behavioral data are obtained to obtain the areas that need to maintain comfort, thereby realizing personalized and intelligent home control and reducing energy waste.

2. The present invention realizes a more intelligent and efficient home control solution by introducing a home analysis module. Based on the number of affected areas of the home, the efficiency of the home's energy consumption, and the impact of the home on the real-time temperature, the most suitable home will be automatically selected to reduce energy consumption and improve home comfort while ensuring comfort. Contributes to personalized smart home control, reduces energy expenses, and provides a smarter, greener living experience.

Description of the drawings

Figure 1 is a schematic structural diagram of a smart home control system based on wireless communication technology according to the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

Example 1:

Figure 1 shows a smart home control system based on wireless communication technology of the present invention, including a data acquisition module, a data processing module, a comfort zone analysis module, a home analysis module, and a home control module. There are signal connections between the modules;

Data acquisition module: used to connect various sensors through wireless communication technology, collect the entry and exit moments in real time, monitor home energy consumption, home status, and real-time temperature in real time, and send the entry and exit moments to the data processing module to collect the home energy. Consumption, home status, and real-time temperature are sent to the home analysis module;

Data processing module: used to analyze the data of residents staying through the entry time and departure time; store all the collected entry time and departure time and collectively call them historical data, predict the residents' behavioral data through historical data analysis, and calculate the residents' stay data. Data and resident behavior data are sent to the comfort zone analysis module;

Comfort zone analysis module: used to comprehensively analyze the resident's stay data and the resident's behavior data to identify areas that need to maintain comfort, and send the areas that need to maintain comfort to the home control module;

Home analysis module: used to receive home energy consumption, home status, and real-time temperature, and analyze the comfort level through real-time temperature; analyze the number of affected areas of the home through real-time temperature and home status; analyze home status and home energy consumption to analyze the home The efficiency of energy consumption; analyze the impact of home on real-time temperature through real-time temperature and home status; comprehensively analyze the impact of home control on the number of affected areas of the home, the efficiency of home energy consumption, and the impact of home on real-time temperature Priority, send the priority and comfort of home control to the home control module;

Home control module: used to receive the priority of home control, areas that need to maintain comfort, and comfort levels, and design an automatic opening plan for the home based on the priorities of home control, areas that need to maintain comfort, real-time temperature, and comfort levels.

Many residents face problems when using smart homes. Current systems are often based only on static preset rules and cannot intelligently adjust according to individual needs and dynamic environmental conditions. This results in unnecessary energy waste and reduced home comfort. By identifying and classifying areas of the home, this system maintains comfort in areas that need to be maintained, and closes the remaining areas of the home to reduce energy consumption. The specific steps are as follows.

Home identification: All homes are marked and recorded as a home collection M through wireless communication technology to enable precise control of specific homes.

Area labeling: All areas are marked and recorded as a area set N through wireless communication technology in order to monitor and control homes in the area.

Time acquisition: obtain real-time time t through wireless communication technology.

The data collection module of this system establishes contact with household activity sensors (such as infrared sensors, cameras, sound sensors, etc.) in various areas through wireless communication technology, and uses sensor technology to monitor household activities in real time.

When a resident enters or leaves a certain area, the data collection module records the entry time and exit time. use Indicates the entry time into area j, using /> represents the departure time from area j. These times can help the system track the movement of residents and determine their activity areas.

Example: If a resident enters the kitchen (area a) at 8 a.m., the system should record the entry time at this time .

The data processing module calculates the length of stay of residents in each area and associates it with the corresponding area. The length of stay reflects the activity intensity of residents in different areas. Indicates the length of stay in area j. The calculation method of the stay time is:/> , formula in/> is the entry time into area j,/> is the departure time for leaving area j; set the stay duration threshold. When the distance between the departure moment and the real-time time span is greater than the preset stay duration threshold, the stay duration value is recorded as zero.

The data processing module calculates the length of time the resident leaves each area. It starts recording when the resident leaves the area and increases with the real-time time. When the resident returns to the area, it stops recording and resets the departure duration value to zero; sets the departure duration threshold. When the resident leaves, When the duration is greater than the preset departure duration threshold, the value of the departure duration will be recorded as positive infinity and the recording will stop. Use Indicates the departure time of area j. The calculation method of the departure time is:/> , where t is real time,/> is the departure time from area j.

Example: If a resident leaves room 102 for 30 minutes, the data processing module calculates the length of absence . The set departure duration threshold is 60 minutes. If a resident leaves guest room 103 (area z) for more than 60 minutes, the resident’s departure time is recorded/> .

The data processing module analyzes the length of departure and stay in each area to obtain data on resident retention. The data on resident retention is the household retention index, which reflects whether the household is active in the area. The household retention index can be calculated by the following formula: , formula in/> is the household retention index in area j,/> is the length of stay in area j,/> is the departure time from area j.

It should be noted that the above formula compares the length of stay with the length of departure. The resulting resident residence index is a value between 0 and 1, which reflects whether the resident is active in the area. 1 means that the resident is still in the area, 0 or Infinitely close to 0, it means that the resident will not return to the area or will not move within the area.

The resident retention index of each area is calculated by real-time monitoring of entry and exit moments. This provides targeted control basis for the smart home control system.

The data collection module stores the entry and exit moments recorded by residents in all areas and at all times, and is collectively referred to as historical data.

Purpose of data collection: To understand residents’ habits and activity patterns in different areas in order to predict resident behavior in advance.

Time window setting: Set a time interval and use the time interval to divide the time into equidistant time windows. ;Define a date period L, which represents the cycle of household activities.

For example: if the time interval is set to half an hour and the date period is one week, then the time window at both 17:12 and 17:29 on Monday is 17.5. In this case, the time window range of the resident activity time is 0.5 To 168, 168=24*7.

Time window purpose: Distinguish different time periods so that the system can predict residents' activities more accurately.

The data processing module analyzes historical data to obtain the number of occurrences of residents in the area, using means that the resident is in the time window/> The number of times it appears in area j.

The data processing module analyzes historical data and obtains the number of occurrences of households in the total area. means that the resident is in the time window/> Appear in area collection/> number of times.

The behavioral data of households are calculated by dividing the number of regional household appearances in the same time window by the total number of regional household appearances. The behavioral data of households is the regional daily index. The regional daily index can be calculated in the following way: , formula in/> for in time window/> Area/> regional daily index,/> for residents within the time window/> The number of times it appears in area j,/> for residents within the time window/> Appear in area collection/> The number of times, this formula is based on frequency statistics, which represents the relative frequency of households appearing in a certain area in a specific time window, and can be used to calculate the regional daily index of the area.

It should be noted that as households use this system longer, more and more household historical data are collected, and the prediction of household behavior will become more and more accurate. The original regional daily index calculation formula is only a behavioral analysis method in the early stages of household use. , with the abundance of historical data, it usually defaults to more than 4 date periods, and the system will have multiple time periods. and/> , the data processing module will analyze and obtain the number of occurrences of households in the true area that is more consistent with household behavior/> means,/> To remove all time periods/> The highest and lowest values are obtained, and then the average value is obtained; in the same way, the data processing module analyzes to obtain the true total regional household occurrence times that is more in line with household behavior, using means,/> To remove all time periods/> the highest and lowest values, and then take the average. Regional daily index calculation updated to/> .

The above method collects and analyzes the historical data of residents, and uses time period segmentation and frequency statistics methods to obtain regional daily indexes, thereby helping the smart home control system better understand and predict the needs and behaviors of residents, and improve the intelligence of the system. sex and adaptability.

The comfort zone analysis module receives the resident retention index and regional daily index from the data processing module to perform integrated analysis to calculate the comfort maintenance index. The comfort maintenance index is used to determine whether the comfort level needs to be maintained in the area in real time. The following is an integration solution using a logistic regression model To integrate the resident retention index and the regional daily index, we get the comfort maintenance index: , formula in/> is the comfort maintenance index of area j, are the parameters of the logistic regression model, used to adjust/> and/> influence,/> is the household retention index in area j,/> for in time window/> Area/> regional daily index.

It should be noted that the logistic regression model uses an S-shaped curve function to represent , which allows for more complex nonlinear relationships,/> The value range of is between 0 and 1.

Set the comfort maintenance index critical threshold. In all real-time areas, when the comfort maintenance index of an area is greater than the comfort maintenance index critical threshold, the area with the comfort maintenance index greater than the comfort maintenance index critical threshold will be listed as an area that needs to maintain comfort. , the area where comfort needs to be maintained and the comfort maintenance area.

This embodiment uses a comprehensive data collection and analysis method to analyze the data of residents staying in each area through real-time monitoring of entry and departure times. At the same time, by analyzing historical data and using time period segmentation and frequency statistics methods, we can obtain household behavioral data to better understand household activity patterns. Finally, through the integration and analysis of the logistic regression model, the residents' stay data and the residents' behavioral data are obtained to obtain the areas that need to maintain comfort, thereby realizing personalized and intelligent home control and reducing energy waste.

Example 2:

There are still technical problems in the above-mentioned Embodiment 1. Embodiment 1 only introduces how to divide the areas that need to maintain comfort, and does not mention the comfort acquisition method and the specific control method of the smart home. Therefore, a smart home is needed. The home analysis module intelligently analyzes a solution for maintaining comfort in areas that need to maintain comfort based on the number of affected areas of the home, the efficiency of the energy consumption of the home, and the impact of the home on the real-time temperature. It improves energy efficiency through automated adjustments. Reduce energy consumption and provide a more personalized smart home control experience.

First of all, it is necessary to determine the comfort level that needs to be maintained in the comfort maintenance area, which is mainly reflected in the attribute direction of temperature. The following is the comfort acquisition plan: use a digital temperature sensor to obtain real-time temperature, and connect to the data acquisition module through wireless communication technology. Collect data and send the real-time temperature to the data processing module. The real-time temperature is used means,/> , expressed as area/> real-time temperature.

Define the comfort level for the temperature and map the real-time temperature to a comfort level, which reflects the impact of the real-time temperature on the area. The comfort level acquisition method is as follows: , formula in/> is the comfort level of area j,/> For the most suitable temperature,/> is expressed as a region/> The closer the real-time temperature of the area is to the optimal temperature, the higher the comfort level.

Set comfort threshold , if area j is a comfort maintenance area, the home control module needs to control the home to control the comfort level of area j at the comfort threshold/> above.

By changing the home status in the comfort maintenance area and monitoring whether the real-time temperature of each area changes, the scope of influence of the home is determined. When the change of home status causes the real-time temperature of the area to change, the area where the real-time temperature changes is listed as a home. area of influence.

Add the number of areas of the home's influence area to get the number of the home's influence area for use in calculations.

Conduct a series of simulation experiments to simulate the operation of different homes under various temperature conditions and collect data on real-time temperature changes. These experiments need to cover the full range of operating parameters of the home.

The home analysis module changes the home status in the comfort maintenance area and collects the real-time temperature changes in the comfort maintenance area at the same time. It standardizes the real-time temperature changes to obtain the impact of the home on the real-time temperature. The impact of the home on the real-time temperature is the home temperature. Effect parameters.

Based on the collected real-time temperature change data, the temperature change data is standardized to obtain the home temperature effect parameters of each home. , used to reflect the impact of home switches on temperature. The data of real-time temperature changes can be brought into the following standardized formula:/> , in the formula,/> is the standardized standard data,/> is the average data,/> is the minimum value of the data,/> is the maximum value of the data.

Example: For air-conditioned homes, experiments can be conducted under different indoor temperature conditions and the changes in indoor temperature can be recorded to determine its cooling effect. Use temperature change data to calculate the home temperature effect parameters of air conditioners.

It should be noted that the corresponding subject of the home temperature effect parameter is not a specific home, but a home state, such as the two home states of air conditioning 26 degrees and air conditioning 20 degrees.

The home analysis module connects to socket-level power monitors through radio communication technology to collect the household energy consumption of each home. For each home, record its home energy consumption and home energy time over a period of time, and integrate the home energy consumption and home energy time to obtain the home's energy consumption efficiency. The home's energy consumption efficiency is the home energy consumption coefficient.

The following formula can be used to calculate the home energy consumption coefficient of home i in the comfort maintenance area: , formula in/> is the household energy consumption coefficient of household i,/> is the household energy consumption of household i,/> Home energy consumption for Home i is long.

The home control priority is analyzed through the integration of the number of home influence areas, home temperature effect parameters, and home energy consumption coefficients in the comfort maintenance area, which can be obtained through the following solutions: , formula in/> Control priorities for Home i Home,/> is the proportion parameter,/> is the home temperature effect parameter of home i,/> is the number of home influence areas of home i,/> is the home energy consumption coefficient of home i.

The home control module receives the priority of home control, the area where comfort needs to be maintained, and the comfort level. When the area is an area where comfort needs to be maintained, the home control module with the highest home control priority in the area where comfort needs to be maintained is opened first, improving The comfort level of the comfort maintenance area. When the comfort level of the comfort maintenance area is still less than the preset comfort threshold, the home with the second highest home control priority is turned on, and so on, until the comfort level of the area that needs to maintain comfort is greater than up to the preset comfort threshold; when the area is no longer an area that needs to maintain comfort, all homes will be shut down.

Example 2 of this embodiment implements a more intelligent and efficient home control solution by introducing a home analysis module. It can automatically select the most suitable home based on the influence range, effect and energy consumption of each home, and on the premise of meeting the temperature range, to reduce energy consumption and improve home comfort. This technological innovation facilitates personalized smart home control, reduces energy bills, and provides a smarter, greener living experience.

The above formulas are all dimensionless and numerical calculations. Each formula is obtained by collecting a large amount of data and conducting software simulation to obtain the most recent real situation. The preset parameters in the formula are set by those 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 using 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 can appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

In addition, each functional module in each embodiment of the present application can be integrated in each processing module, or each module can exist physically alone, or two or more modules can be integrated in each module.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application. should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Finally: The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in this present invention. within the scope of protection of the invention.

Claims (3)

1. A smart home control system based on wireless communication technology, characterized by: including a data acquisition module, a data processing module, a comfort zone analysis module, a home analysis module, and a home control module, with signal connections between the modules; Data acquisition module: used to connect various sensors through wireless communication technology, collect the entry and exit moments in real time, monitor home energy consumption, home status, and real-time temperature in real time, and send the entry and exit moments to the data processing module to collect the home energy. Consumption, home status, and real-time temperature are sent to the home analysis module; Data processing module: used to analyze the data of residents staying through the entry time and departure time; store all the collected entry time and departure time and collectively call them historical data, predict the residents' behavioral data through historical data analysis, and calculate the residents' stay data. Data and resident behavior data are sent to the comfort zone analysis module; Comfort zone analysis module: used to comprehensively analyze the resident's stay data and the resident's behavior data to identify areas that need to maintain comfort, and send the areas that need to maintain comfort to the home control module; Home analysis module: used to receive home energy consumption, home status, and real-time temperature, and analyze the comfort level through real-time temperature; analyze the number of affected areas of the home through real-time temperature and home status; analyze home status and home energy consumption to analyze the home The efficiency of energy consumption; analyze the impact of home on real-time temperature through real-time temperature and home status; comprehensively analyze the impact of home control on the number of affected areas of the home, the efficiency of home energy consumption, and the impact of home on real-time temperature Priority, send the priority and comfort of home control to the home control module; Home control module: used to receive the priority of home control, areas where comfort needs to be maintained, and comfort levels, and to design an automatic opening plan for the home based on the priorities of home control, areas where comfort needs to be maintained, real-time temperature, and comfort levels; The data acquisition module uses wireless communication technology to mark and record all homes as home collections; uses wireless communication technology to mark and record all areas as area collections, and obtains real-time time through wireless communication technology; The data collection module records the time when residents enter and leave each area. When residents enter and leave the area, the data collection module records the time and area identification; The data acquisition module connects to the digital temperature sensor through wireless communication technology to monitor real-time temperature; The data acquisition module monitors the household energy consumption of each home through socket-level power monitors; The data processing module calculates the length of stay by subtracting the entry time and departure time, and records the stay area; The data processing module analyzes the departure time through the departure moment and real-time time. The following is the analysis method: it starts recording when the resident leaves the area and increases with the real-time time. When the resident returns to the area, the recording stops and the departure duration value is reset to zero. When the duration is greater than the preset departure duration threshold, the value of the departure duration is recorded as positive infinity and recording stops; The data processing module analyzes the length of departure and the length of stay to obtain the data on residents’ stay; The data processing module integrates historical data and obtains the number of regional household occurrences and the total regional household occurrence times by sequentially adding records; The data processing module obtains the behavioral data of residents by dividing the number of occurrences of residents in the region by the number of occurrences of residents in the total region; When the collected historical number of occurrences of regional households and the number of total regional households is greater than the preset critical threshold of data quantity, remove the highest and lowest values of the number of occurrences of regional households and the total number of regional households, and then use the average The method obtains the number of occurrences of households in the real area and the number of occurrences of households in the real total area, and finally divides the number of occurrences of households in the real area by the number of occurrences of households in the real total area to analyze and obtain the behavioral data of the households; The home analysis module determines the affected area of the home by changing the home state in the area where comfort needs to be maintained and monitoring whether the real-time temperature changes. When the change of the home state causes the real-time temperature of the area to change, the area where the real-time temperature changes will be Listed as the home's influence area; add the number of home's influence areas to get the number of home's influence areas. 2. A smart home control system based on wireless communication technology according to claim 1, characterized in that: the home analysis module maps and analyzes the monitored real-time temperature to obtain comfort; The home analysis module changes the home status in the area where comfort needs to be maintained, while collecting real-time temperature changes, and standardizing the real-time temperature changes to obtain the impact of the home on real-time temperature; The home analysis module records the home energy consumption of the home in the area where comfort needs to be maintained, and divides the home energy consumption by the duration of the home energy consumption to obtain the home energy consumption efficiency. 3. A smart home control system based on wireless communication technology according to claim 2, characterized in that: the home control module receives the priority of home control, the area where comfort needs to be maintained, and the comfort level. When the area needs to be maintained, When the comfort level is in the area, the home control with the highest priority in the area that needs to maintain comfort is given priority to improve the comfort level in the comfort maintenance area. When the comfort level in the comfort maintenance area is still less than the preset comfort threshold, open The home with the second highest home control priority, and so on, until the comfort level of the area that needs to be maintained is greater than the preset comfort threshold; when the area is no longer an area that needs to be maintained, all homes are turned off.