Smart home climate adaptive system

Abstract

The invention relates to the technical field of smart home, and provides a smart home climate self-adaptive system, which comprises a data acquisition module for acquiring meteorological data of an area provided by a network by connecting the network, acquiring humidity data of an environment through a humidity sensor, and recording and counting by adopting a time window; and the moisture regaining simulation module is used for performing moisture regaining simulation according to the meteorological data and the humidity data by importing the meteorological data and the humidity data acquired by the data acquisition module, estimating the air humidity and the water vapor liquefaction amount in each time period, and outputting a corresponding humidity reminding signal. By simulating air humidity changes in different time periods, the humidity change trend can be predicted in advance, and corresponding humidity reminding signals are generated. Therefore, the system can take effective dehumidification measures in advance, and the situation that indoor articles are severely affected with damp due to the fact that humidity is increased due to the weather such as the south is avoided, so that a more comfortable and healthier living environment is provided for residents.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a smart home climate self-adaptation system. Background Art

[0002] In our daily lives, we often face weather conditions such as plum rains or continuous rainfall. The air contains a lot of moisture, which can affect the human body, furniture and various mechanical structures, and thus cause losses. When facing these situations, the dehumidifier can solve the problem of humid air very well. By heating the air and then separating the gas and liquid, the dehumidifier can separate most of the moisture in the air and achieve the dehumidification effect.

[0003] "Return of the South," also known as "returning tide," is a term for southern China, typically referring to the springtime phenomenon when temperatures begin to rise and humidity surges. When "return of the south" occurs, the air reaches near saturation, creating a damp, humid atmosphere.

[0004] Existing smart dehumidifiers don't fully monitor humidity levels, relying solely on indoor humidity sensors. This means they can't predict the impact of external weather conditions on indoor humidity, and therefore can't take effective dehumidification measures in advance. Therefore, a smart home climate adaptive system is needed. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a smart home climate adaptive system, which solves the problem that the existing smart dehumidifiers are not comprehensive in humidity detection, rely solely on indoor humidity sensors for detection, cannot predict the impact of external meteorological conditions on indoor humidity in advance, and thus cannot take effective dehumidification measures in advance.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] A smart home climate adaptive system, comprising:

[0008] The data acquisition module collects the meteorological data of the area provided by the network through the connection network, and collects the humidity data of the environment through the humidity sensor, and records and counts the data using the time window;

[0009] The moisture regain simulation module imports the meteorological data and humidity data collected by the data acquisition module, uses the meteorological data and humidity data to simulate moisture regain, estimates the air humidity and water vapor liquefaction volume in each time period, and outputs the corresponding humidity reminder signal;

[0010] An energy-saving strategy module, which uses the humidity reminder signal provided by the moisture regain simulation module to output a control efficiency task for the dehumidifier corresponding to each time period, so as to dynamically adjust the working performance of the dehumidifier;

[0011] a decision-making module, which makes control decisions for the packaged dehumidifier based on the data provided by the energy-saving strategy module;

[0012] The dehumidification operation issuing module is used to receive the control decision of the decision-making module and issue the dehumidification operation command to the dehumidifier.

[0013] Preferably, the data acquisition module includes:

[0014] The regional positioning unit locates the geographical location of the residential house by accessing the network satellite navigation system;

[0015] A network meteorological data collection unit searches and filters meteorological data at the location of the house based on the geographical location of the house located by the regional positioning unit;

[0016] The environmental humidity collection unit is connected to the humidity sensor to regularly collect humidity changes in the house and compile statistics into humidity data in the format of a dynamic line chart.

[0017] Preferably, the meteorological data include meteorological data related to dampness such as atmospheric temperature, atmospheric humidity, wind direction, etc. within a radius of 5 kilometers centered on the location of the house.

[0018] Preferably, the moisture regain simulation module includes:

[0019] Data import unit, used to import meteorological data and humidity data, establish time windows, and centrally collect statistics of various data;

[0020] The simulation unit simulates the data in each time window according to the data including temperature, humidity, etc. that cause moisture to liquefy into liquid water, and simulates the liquid water output in each time window;

[0021] The humidity threshold determination unit determines the liquid water output simulated in each time window by setting a stepped multi-level liquid water output threshold, and outputs a humidity reminder signal corresponding to each level of liquid water output threshold according to the determination result.

[0022] Preferably, the energy-saving strategy module includes:

[0023] The energy distribution unit outputs the efficiency level task that the dehumidifier should adjust in each time period according to the level of the humidity reminder signal;

[0024] The dynamic transition correction unit is used to adaptively adjust the starting efficiency gear amount and the ending efficiency gear amount of each task in response to the excessive efficiency fluctuation between two adjacent efficiency gear tasks;

[0025] The alignment correction unit is used to align the efficiency gear task corrected by the dynamic transition correction unit with the time window to ensure that the efficiency gear task can be executed smoothly.

[0026] Preferably, the starting efficiency gear amount and the ending efficiency gear amount are set to have a trend of gradually increasing and gradually decreasing.

[0027] A smart home climate adaptation method comprises the following steps:

[0028] Step 1: Data Collection: Utilize the data collection module in the smart home climate adaptive system to obtain the meteorological data of the area where the house is located by connecting to the network. At the same time, the humidity sensor collects the humidity data of the indoor environment at regular intervals. The collected meteorological data and humidity data are recorded in a time window manner and statistically analyzed in segments.

[0029] Step 2: Import the collected meteorological data and humidity data into the rehumidification simulation module to simulate the changes in air humidity in different time periods, estimate the amount of water vapor liquefaction that may occur in each time period, and generate corresponding humidity warning signals based on the preset humidity threshold;

[0030] Step 3: Based on the humidity reminder signal output by the moisture regain simulation module, the energy-saving strategy module formulates corresponding dehumidifier control efficiency tasks for each time period, and achieves energy-saving operation by dynamically adjusting the working performance of the dehumidifier;

[0031] Step 4: The decision-making module collects the control efficiency task data output by the energy-saving strategy module in step 3, integrates and analyzes it, and packages it into a detailed control decision for the dehumidifier based on the analysis results.

[0032] Step 5: Use the dehumidification operation issuing module to receive the control decision generated by the decision-making module in step 4, convert it into a specific dehumidification operation command, and send the dehumidification operation command to the dehumidifier through the communication network within the smart home system to achieve remote control and management of the dehumidifier.

[0033] Preferably, the control decision in step 4 includes operation instructions such as start, stop, and power adjustment;

[0034] Preferably, the air humidity change in step 2 is simulated at least five times, and the average of the simulation data results is taken.

[0035] The present invention provides a smart home climate adaptive system. It has the following beneficial effects:

[0036] 1. By simulating humidity changes over different time periods, the present invention can predict humidity trends in advance and generate corresponding humidity warning signals. This enables the system to take effective dehumidification measures in advance, avoiding sudden humidity surges caused by weather such as the return of the south wind, which can cause severe dampness in indoor items, thereby providing residents with a more comfortable and healthier living environment.

[0037] 2. The present invention can output the control efficiency task of the dehumidifier in response to each time period, and dynamically adjust the working performance of the dehumidifier according to the simulated humidity trend, ensuring that the dehumidifier can achieve the purpose of energy-saving operation while meeting the dehumidification needs, effectively reducing energy consumption and reducing residents' electricity costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A diagram of a smart home climate adaptive system according to the present invention;

[0039] Figure 2 is a system schematic diagram of the data acquisition module of the present invention;

[0040] Figure 3 This is a system schematic diagram of the moisture regain simulation module of the present invention;

[0041] Figure 4 It is a system schematic diagram of the energy-saving strategy module of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] Example:

[0044] As an aspect of this application, please see the attached Figure 1 -Attached Figure 4 , an embodiment of the present invention provides a smart home climate adaptation system, comprising:

[0045] The data acquisition module collects the meteorological data of the area provided by the network through a connection to the network, and collects the humidity data of the environment through a humidity sensor, and records and counts the data using a time window, including:

[0046] The regional positioning unit locates the geographical location of the residential house by accessing the network satellite navigation system;

[0047] The network meteorological data collection unit searches and filters the meteorological data of the house location based on the geographical location of the house located by the regional positioning unit. The meteorological data includes atmospheric temperature, atmospheric humidity, wind direction and other meteorological data related to backswell within a radius of 5 kilometers from the house location.

[0048] The environmental humidity collection unit is connected to the humidity sensor to regularly collect humidity changes in the house and compile statistics into humidity data in the format of a dynamic line chart.

[0049] The moisture regain simulation module imports the meteorological data and humidity data collected by the data acquisition module, uses the meteorological data and humidity data to simulate moisture regain, estimates the air humidity and water vapor liquefaction volume in each time period, and outputs the corresponding humidity reminder signal, including:

[0050] Data import unit, used to import meteorological data and humidity data, establish time windows, and centrally collect statistics of various data;

[0051] The simulation unit simulates the data in each time window according to the data including temperature, humidity, etc. that cause moisture to liquefy into liquid water, and simulates the liquid water output in each time window;

[0052] The humidity threshold determination unit determines the liquid water output simulated in each time window by setting a stepped multi-level liquid water output threshold, and outputs a humidity reminder signal corresponding to each level of liquid water output threshold according to the determination result;

[0053] The energy-saving strategy module uses the humidity reminder signal provided by the moisture regain simulation module to output the dehumidifier's control efficiency task for each time period to dynamically adjust the dehumidifier's working performance, including:

[0054] The energy distribution unit outputs the efficiency level task that the dehumidifier should adjust in each time period according to the level of the humidity reminder signal;

[0055] The dynamic transition correction unit is used to adaptively adjust the starting efficiency gear amount and the ending efficiency gear amount of each task in response to the excessive efficiency fluctuation between two adjacent efficiency gear tasks. The starting efficiency gear amount and the ending efficiency gear amount are set to gradually increase and gradually decrease.

[0056] The alignment correction unit is used to align the efficiency gear task corrected by the dynamic transition correction unit with the time window to ensure that the efficiency gear task can be executed smoothly;

[0057] The decision-making module makes control decisions for the packaged dehumidifier based on the data provided by the energy-saving strategy module;

[0058] The dehumidification operation issuing module is used to receive the control decision of the decision-making module and issue the dehumidification operation command to the dehumidifier.

[0059] Based on the above-mentioned smart home climate adaptation system, as another aspect of the present application, a smart home climate adaptation method includes the following steps:

[0060] Step 1: Data Collection: Utilize the data collection module in the smart home climate adaptive system to obtain the meteorological data of the area where the house is located by connecting to the network. At the same time, the humidity sensor collects the humidity data of the indoor environment at regular intervals. The collected meteorological data and humidity data are recorded in a time window manner and statistically analyzed in segments.

[0061] Step 2: Import the collected meteorological data and humidity data into the rehumidification simulation module to simulate the changes in air humidity in different time periods, estimate the amount of water vapor liquefaction that may occur in each time period, and generate a corresponding humidity reminder signal based on the preset humidity threshold. The number of simulations of air humidity changes shall be no less than five times, and the average of the simulation data results shall be taken;

[0062] Step 3: Based on the humidity reminder signal output by the moisture regain simulation module, the energy-saving strategy module formulates corresponding dehumidifier control efficiency tasks for each time period, and achieves energy-saving operation by dynamically adjusting the working performance of the dehumidifier;

[0063] Step 4: The decision-making module collects the control efficiency task data output by the energy-saving strategy module in step 3, integrates and analyzes it, and packages it into a detailed control decision for the dehumidifier based on the analysis results. The control decision includes operation instructions such as start, stop, and power adjustment.

[0064] Step 5: Use the dehumidification operation issuing module to receive the control decision generated by the decision-making module in step 4, convert it into a specific dehumidification operation command, and send the dehumidification operation command to the dehumidifier through the communication network within the smart home system to achieve remote control and management of the dehumidifier.

[0065] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A smart home climate adaptive system, characterized in that: include: The data acquisition module collects the meteorological data of the area provided by the network through the connection network, and collects the humidity data of the environment through the humidity sensor, and records and counts the data using the time window; The moisture regain simulation module imports the meteorological data and humidity data collected by the data acquisition module, uses the meteorological data and humidity data to simulate moisture regain, estimates the air humidity and water vapor liquefaction volume in each time period, and outputs the corresponding humidity reminder signal; An energy-saving strategy module, which uses the humidity reminder signal provided by the moisture regain simulation module to output a control efficiency task for the dehumidifier corresponding to each time period, so as to dynamically adjust the working performance of the dehumidifier; a decision-making module, which makes control decisions for the packaged dehumidifier based on the data provided by the energy-saving strategy module; The dehumidification operation issuing module is used to receive the control decision of the decision-making module and issue the dehumidification operation command to the dehumidifier.

2. The smart home climate adaptive system according to claim 1, characterized in that: The data acquisition module includes: The regional positioning unit locates the geographical location of the residential house by accessing the network satellite navigation system; A network meteorological data collection unit searches and filters meteorological data at the location of the house based on the geographical location of the house located by the regional positioning unit; The environmental humidity collection unit is connected to the humidity sensor to regularly collect humidity changes in the house and compile statistics into humidity data in the format of a dynamic line chart.

3. The smart home climate adaptive system according to claim 2, characterized in that: The meteorological data includes meteorological data related to dampness, such as atmospheric temperature, atmospheric humidity, wind direction, etc. within a radius of 5 kilometers centered on the location of the house.

4. The smart home climate adaptive system according to claim 1, characterized in that: The moisture regain simulation module includes: Data import unit, used to import meteorological data and humidity data, establish time windows, and centrally collect statistics of various data; The simulation unit simulates the data in each time window according to the data including temperature, humidity, etc. that cause moisture to liquefy into liquid water, and simulates the liquid water output in each time window; The humidity threshold determination unit determines the liquid water output simulated in each time window by setting a stepped multi-level liquid water output threshold, and outputs a humidity reminder signal corresponding to each level of liquid water output threshold according to the determination result.

5. The smart home climate adaptive system according to claim 1, characterized in that: The energy-saving strategy module includes: The energy distribution unit outputs the efficiency level task that the dehumidifier should adjust in each time period according to the level of the humidity reminder signal; The dynamic transition correction unit is used to adaptively adjust the starting efficiency gear amount and the ending efficiency gear amount of each task in response to the excessive efficiency fluctuation between two adjacent efficiency gear tasks; The alignment correction unit is used to align the efficiency gear task corrected by the dynamic transition correction unit with the time window to ensure that the efficiency gear task can be executed smoothly.

6. The smart home climate adaptive system according to claim 5, characterized in that: The starting efficiency gear amount and the ending efficiency gear amount are set to have a trend of gradually increasing and gradually decreasing.

7. A smart home climate adaptation method, using a smart home climate adaptation system according to any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Data Collection: Utilize the data collection module in the smart home climate adaptive system to obtain the meteorological data of the area where the house is located by connecting to the network. At the same time, the humidity sensor collects the humidity data of the indoor environment at regular intervals. The collected meteorological data and humidity data are recorded in a time window manner and statistically analyzed in segments. Step 2: Import the collected meteorological data and humidity data into the rehumidification simulation module to simulate the changes in air humidity in different time periods, estimate the amount of water vapor liquefaction that may occur in each time period, and generate corresponding humidity warning signals based on the preset humidity threshold; Step 3: Based on the humidity reminder signal output by the moisture regain simulation module, the energy-saving strategy module formulates corresponding dehumidifier control efficiency tasks for each time period, and achieves energy-saving operation by dynamically adjusting the working performance of the dehumidifier; Step 4: The decision-making module collects the control efficiency task data output by the energy-saving strategy module in step 3, integrates and analyzes it, and packages it into a detailed control decision for the dehumidifier based on the analysis results. Step 5: Use the dehumidification operation issuing module to receive the control decision generated by the decision-making module in step 4, convert it into a specific dehumidification operation command, and send the dehumidification operation command to the dehumidifier through the communication network within the smart home system to achieve remote control and management of the dehumidifier.

8. The smart home climate adaptive system according to claim 1, characterized in that: The control decision in step 4 includes operation instructions such as start, stop, and power adjustment.

9. The smart home climate adaptive system according to claim 1, characterized in that: The air humidity change in step 2 is simulated at least five times, and the average of the simulation data results is taken.

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