Indoor air environment ecological reconstruction system

Abstract

The invention discloses an indoor air environment ecological reconstruction system which comprises an environment sensing module, a physiological sensing module, a processing module, a control module and a reconstruction module. The system comprises an environment sensing module, a processing module, a control module and a reconstruction module. The processing module is also connected with the physiological sensing module; the environment sensing module is used for acquiring indoor air environment data; the physiological sensing module is used for acquiring user physiological data and an adjustment instruction; the processing module is used for selecting different reconstruction environments according to the adjustment instruction, identifying the physiological data of the user, analyzing the indoor environment data based on an identification result and the reconstruction environments, and generating a control instruction based on an analysis result; the control module controls the reconstruction module based on the control instruction; and the reconstruction module is used for ecologically reconstructing the indoor air environment. Automatic, intelligent, specific and effective ecological reconstruction can be carried out on the indoor air environment according to the requirements of the user and the physiological characteristics of the user.

Description

Technical Field

[0001] The invention relates to the technical field of environmental improvement, and in particular to an indoor air environment ecological reconstruction system. Background Art

[0002] In traditional methods, indoor ecological improvement requires the combination of plants and technology to create an air self-circulation system indoors, so as to balance humidity, solidify carbon dioxide, increase oxygen content and negative oxygen, and thus optimize indoor air. With the development of technology, traditional indoor ecological reconstruction systems have emerged, which can adjust the indoor air and environment through different equipment, thereby improving the indoor ecology. Traditional indoor ecological reconstruction systems can be developed to replace the solution of improving indoor ecology through plants. However, in the existing technology, whether it is a solution combining plants and technology or an indoor ecological reconstruction system, a fixed model is usually used for ecological reconstruction, resulting in the inability to improve the reconstructed environment in an automated and intelligent manner for users. Summary of the invention

[0003] In order to solve the problem that the recreated environment in the above-mentioned prior art cannot be improved automatically and intelligently for users, the present invention provides an indoor air environment ecological reconstruction system, which can automatically, intelligently, specifically and effectively recreate the indoor air environment according to the needs of users and their own physiological characteristics.

[0004] In order to achieve the above technical objectives, the present invention provides the following technical solutions:

[0005] An indoor air environment ecological reconstruction system, comprising:

[0006] Environmental sensing module, physiological sensing module, processing module, control module, and regeneration module;

[0007] The environmental sensing module, the processing module, the control module, and the regeneration module are connected in sequence; the processing module is also connected to the physiological sensing module;

[0008] The environmental sensing module is used to acquire indoor air environment data;

[0009] The physiological sensing module is used to obtain the user's physiological data and adjustment instructions;

[0010] The processing module is used to select different recreated environments according to the adjustment instructions, identify the user's physiological data, analyze the indoor environment data based on the identification results and the recreated environment, and generate control instructions based on the analysis results;

[0011] The control module controls the reconstruction module based on the control instruction;

[0012] The recycling module is used for ecological recycling of indoor air environment.

[0013] Optionally, the indoor air environment data includes air composition, air temperature, air humidity and wind speed.

[0014] Optionally, the physiological data includes blood pressure, heart rate, disease status, age, and gender.

[0015] Optionally, the processing module includes an environment module, an identification module, and an analysis module;

[0016] The environment module and the identification module are respectively connected to the analysis module;

[0017] The environment module is used to select different recreated environments according to the adjustment instructions, wherein the recreated environments include grassland environment, forest environment, and marine environment;

[0018] The identification module is used to perform level identification on the user's physiological data, wherein the level identification is determined based on a threshold value;

[0019] The analysis module extracts environmental parameters of the recreated environment based on the recreated environment, wherein the environmental parameters include temperature, humidity, composition, and wind speed of the recreated environment; and according to the recognition results, numerically adjusts the environmental parameters, then performs statistics on the indoor environment data, and performs difference calculation on the numerical adjustment results according to the statistical results to obtain analysis results, and generates control instructions for different environmental parameters according to the analysis results.

[0020] Optionally, the control module includes a receiving module and a transmission module;

[0021] The receiving module is connected to the transmitting module;

[0022] The receiving module is used to receive the control instruction and generate the control signal through logic operation according to the control instruction;

[0023] The transmission module is used for transmitting the control signal to the reconstruction module.

[0024] Optionally, the processing module is further connected to a setting module;

[0025] The setting module is used to obtain user adding instructions and fine-tuning instructions. The adding instructions are used to add categories of the recreated environment in the processing module and adjust environmental parameters in the added recreated environment. The fine-tuning instructions are used to fine-tune the control instructions.

[0026] Optionally, the processing module is further connected to a storage module;

[0027] The storage module is used to store the data in the processing module and share the stored data.

[0028] Optionally, the processing module is further connected to a display module;

[0029] The display module is used to display the recreated environment and update the display result based on the environmental parameters of the recreated environment.

[0030] The present invention has the following technical effects:

[0031] The present invention collects indoor environmental data through an environmental sensing module, collects physiological data through a physiological sensing module, processes and adjusts the reconstructed environment through a processing module, and adjusts the reconstructed environment according to the physiological data. After the adjustment is completed, relevant control instructions are generated according to the numerical adjustment results and the indoor environmental data, and the control module controls the reconstructing module based on the relevant control instructions to achieve ecological reconstruction of the indoor control environment. Through the above technical scheme, the present invention adjusts the reconstructed environment parameters according to the characteristics of different users, performs intelligent and automated ecological reconstruction of the indoor control environment for different users, can improve user comfort, and has strong practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0033] Figure 1 A schematic diagram of a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0035] In order to solve the problems in the prior art that the environment cannot be recreated automatically and intelligently for users, the present invention provides the following solutions:

[0036] like Figure 1 The present invention provides an indoor air environment ecological reconstruction system, comprising:

[0037] Environmental sensing module, physiological sensing module, processing module, control module, and regeneration module;

[0038] The environmental sensing module, the processing module, the control module, and the regeneration module are connected in sequence; the processing module is also connected to the physiological sensing module;

[0039] The environmental sensing module is used to obtain indoor air environment data; the indoor air environment data includes air composition, air temperature, air humidity and wind speed. The environmental sensing module includes a variety of sensors, such as air quality sensors, temperature sensors, humidity sensors, high-precision wind speed sensors, and accurate measurements of the indoor air environment through a variety of sensors. In the later stage of improvement, the data measured by the sensors are effectively calculated to assist the reconstruction module in ecological reconstruction. At the same time, the data collected by the environmental sensing module includes air pressure, air quality and other air-related data in addition to the above data, and is collected through corresponding sensors, and the data is transmitted to the processing module for processing. It has strong scalability and can effectively monitor the environment in all directions.

[0040] The physiological sensing module is used to obtain the user's physiological data and adjustment instructions; the physiological data includes blood pressure, heart rate, disease status, age, and gender. The physiological sensing module can use a wearable smart device to monitor the user's blood pressure, heart rate and other different physiological states. At the same time, some other data about the user, such as age, gender, etc., which cannot be directly sensed and collected by the smart device, are input through the data input function of the wearable smart device and set as selectable options during input, or directly input as numerical values. According to the above physiological data, the environmental parameters in the processing module are adjusted to achieve environmental construction for different users. At the same time, the physiological sensing module also selects the permanent residence area as input. When inputting the permanent residence area data, you can select the area coordinates for input, or by building a map and outputting a map image, establish a mapping of the corresponding areas for different pixel coordinates in the map image. After the mapping is established, use the map image to click, extract the coordinates of the clicked pixel, and select the area based on the extracted coordinates. If multiple pixels are clicked at one time, clustering is performed based on the distance of the pixel coordinates, where the distances within the set threshold are the same cluster, and the clustering result with the largest number of coordinates is retained. The average value of the coordinates in the clustering result under different coordinate axes is used for calculation, and the closest pixel under the calculated result coordinates is used as the final pixel, and the area corresponding to the pixel is extracted. If the clustering result does not have the largest number of coordinates, an error is prompted and a reselection is prompted. At the same time, the prompt content of "Please reselect the area" is displayed until the area selection is successful, to achieve the selection of the area. After the selection is completed, the physiological sensing module will also analyze the regional ecological characteristics of different regions through big data, and add the regional ecological characteristics to the permanent residence label to adjust the subsequent environmental parameters.

[0041] The processing module adopts a microprocessor, which is used to select different recreated environments according to the adjustment instructions, identify the user's physiological data, analyze the indoor environment data based on the identification results and the recreated environment, and generate control instructions based on the analysis results; the processing module includes an environment module, an identification module, and an analysis module; the environment module and the identification module are respectively connected to the analysis module;

[0042] The environment module is used to select different reconstructed environments according to the adjustment instructions, wherein the reconstructed environments include grassland environments, forest environments and marine environments; the processing module pre-stores relevant reconstructed environments, and the environmental parameters under different reconstructed environments are different, such as temperature and humidity related data, the grassland environment humidity is set to be relatively dry, and the temperature is set to be low, wherein the relatively dry and low can be achieved by setting relevant specific values, such as the humidity is set to 30% water content, and the temperature is set to 17°C, the forest environment humidity is set to be relatively humid, and the temperature is set to medium, such as the humidity is 50%, the temperature is 22°C, and the marine environment The medium humidity is set to humid, and the temperature is set to high, such as the humidity is set to 70% and the temperature is set to 25°C. For example, the negative oxygen ions in the components of the environmental parameters are set to 6,000 per cubic centimeter for grassland, 10,000 per cubic centimeter for forest, and 8,000 for ocean. For example, the wind speed is described in normal levels, the grassland is set to level three wind speed, the forest is set to level two wind speed, and the ocean is set to level one wind speed. Relevant settings are made for the values ​​under different wind speed levels. Through the above numerical settings, the above environment is preset. After the preset is completed, the adjustment instructions for selecting different recreated environments are received to make preliminary adjustments to the ecological reconstruction.

[0043] The identification module is used to identify the level of the user's physiological data, wherein the level identification is judged according to the threshold value; in the identification module, the age and gender in the user's physiological data are first extracted, and the normal physiological index values ​​corresponding to the age and gender are analyzed through big data, such as the normal range of heart rate and the normal range of blood pressure, and the data of different heart rates and blood pressure in the collected data are judged with the normal range, and the heart rate and blood pressure level identification is performed. The level within the normal range is level one, and the level above the normal range is level two. Taking negative oxygen ions as an example, by dividing the heart rate and blood pressure levels, negative oxygen ions are released normally at level one, and the concentration of negative oxygen ions is increased at level two. At the same time, for level identification according to age and gender, according to the age classification standard, the age level is divided into 4 standards, minors, young people, middle-aged people and the elderly. Taking negative oxygen ions as an example, when the concentration of negative oxygen ions in the levels of minors and young people is different, the concentration of negative oxygen ions in the middle-aged level will increase, and the concentration of negative oxygen ions in the elderly will increase again, wherein the value of the concentration increase can be set to 2,000 per cubic centimeter. The temperature, humidity and wind speed are reduced or increased according to the levels of different physiological data. For example, the blood pressure remains unchanged at level one, but is reduced by a certain value at level two, such as reducing the temperature by 2°C and the humidity by 20%, and increasing the wind speed by one level. The above-mentioned reduced or increased values ​​are pre-stored, and the relevant pre-stored settings are extracted to participate in the processing of the subsequent analysis module. In the data of permanent residence, the ecological characteristics of the permanent residence are not judged based on the generation of negative oxygen ions, and the ecological characteristic data of the area within the next year are queried through the Internet, and the average values ​​of the annual data under different parameters are calculated. The different parameters of the ecological characteristic data include temperature, humidity and wind speed. The levels are divided based on the average values ​​under different parameters. Different parameters are divided in the division levels. Taking temperature as an example, starting from 0℃, every 10℃ is a level until 40℃, which are temperature level one, and the corresponding adjustment of the pre-stored temperature is reduced by 1-2℃, temperature level two and temperature level three, no corresponding adjustment, temperature level four, and the corresponding adjustment of the pre-stored temperature is increased by 1-2℃, and at the same time, the temperature below 0℃ is set to level five, and the corresponding adjustment of the pre-stored temperature is reduced by 3-4℃ to meet the temperature perception needs of different users. At the same time, humidity and wind speed are adjusted. If the divided data is close to the pre-stored data, it will not be adjusted. Other data will be reduced or increased accordingly. Different physiological data are divided into levels, and the pre-stored settings under different levels are marked to achieve adaptive changes in the environment for different users, and save user expenses while meeting user needs.

[0044] The analysis module extracts environmental parameters of the reconstructed environment based on the reconstructed environment, wherein the environmental parameters include the temperature, humidity, composition, and wind speed of the reconstructed environment; and adjusts the environmental parameters numerically according to the recognition results. Specifically, under different reconstructed environments, the preset values ​​of relevant parameters of the reconstructed environment are extracted, and the values ​​of relevant parameters under the reconstructed environment are set accordingly according to the level recognition results. The corresponding setting scheme has been described in the recognition module, and finally the parameter values ​​that can meet the different characteristics of the user, that is, the numerical adjustment results, are generated.

[0045] After the above scheme is completed, the analysis module counts the indoor environmental data, and performs difference calculation on the numerical adjustment result according to the statistical result to obtain the analysis result, and generates control instructions for different environmental parameters according to the analysis result. Specifically, the indoor environmental data is counted, and the difference calculation is performed with the numerical adjustment result to calculate the difference between the indoor environmental data and the data that can satisfy the user, and the control instructions for different devices in the reconstruction module are generated according to the difference, and the reconstruction module is controlled to change the environmental data to perform ecological reconstruction.

[0046] The control module controls the regeneration module based on the control instruction; the control module includes a receiving module and a transmission module; the receiving module is connected to the transmission module; the receiving module is used to receive the control instruction, and generate a control signal through logical operation according to the control instruction, the control instruction contains the environmental data that the regeneration module needs to change, the control module uses a single chip microcomputer, calculates the increase or decrease of power under different devices by inputting the environmental data, and generates a control signal to control the regeneration module according to the power obtained by calculation;

[0047] The transmission module is used to transmit the control signal to the regeneration module. The transmission module is connected to different devices in the regeneration module and transmits the control signal to different devices through parallel or serial data transmission.

[0048] The regeneration module is used to regenerate the indoor air environment. The regeneration module includes different equipment, negative oxygen ion air purifier, air conditioner, fresh air and other ecological regeneration related equipment.

[0049] The processing module is also connected to a setting module; the setting module is used to obtain user addition instructions and fine-tuning instructions, the addition instructions are used to add the category of the recreated environment in the processing module, and adjust the environmental parameters in the added recreated environment, and the fine-tuning instructions are used to fine-tune the control instructions. The addition instructions in the setting module can set the ecological environment type, wherein the type contains settings for different environmental parameters, and the numerical input or selection method can be selected to set the numerical value. After completing different settings, the above-mentioned numerical values ​​are added and saved, and saved in the recreated environment. After adding the recreated environment, the recreated environment is selected through the adjustment instructions, and subsequent identification and analysis are performed based on the recreated environment. At the same time, the fine-tuning instructions are used to fine-tune the control instructions, that is, to fine-tune the different control data in the control instructions, so as to realize manual adjustment of the environment to ensure the subjectivity of the user.

[0050] The processing module is also connected to a storage module; the storage module is used to store the data in the processing module and share the stored data. After the storage module stores the relevant data in the processing module, the data is uploaded to the cloud platform. The cloud platform is connected to different indoor air environment ecological reconstruction systems to store data on the cloud and share the stored data. When the user uses the system, if the user's physiological data has corresponding control instructions on the storage module or the cloud platform, the control instructions can be called directly according to the user's physiological data without additional analysis, reducing the use of computing resources. At the same time, the user can set relevant user login information and call the control instruction usage history of different users according to the user login information. A certain usage history can be directly selected for use, which can also reduce the use of computing resources.

[0051] The processing module is also connected to a display module; the display module is used to display the regenerated environment and update the display result based on the environmental parameters of the regenerated environment. The display module can use VR glasses. During the ecological reconstruction process, the display module calls the regenerated environment related images or videos for display to improve the user's comfort.

[0052] The present invention collects indoor environmental data through an environmental sensing module, collects physiological data through a physiological sensing module, processes and adjusts the recreated environment through a processing module, and adjusts the recreated environment according to the physiological data. After the adjustment is completed, relevant control instructions are generated according to the numerical adjustment results and the indoor environmental data, and the control module controls the reconstruction module based on the relevant control instructions to achieve ecological reconstruction of the indoor control environment.

[0053] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An indoor air environment ecological reconstruction system, characterized in that: include: Environmental sensing module, physiological sensing module, processing module, control module, and regeneration module; The environmental sensing module, the processing module, the control module, and the regeneration module are connected in sequence; the processing module is also connected to the physiological sensing module; The environmental sensing module is used to acquire indoor air environment data; The physiological sensing module is used to obtain the user's physiological data and adjustment instructions; The processing module is used to select different recreated environments according to the adjustment instructions, identify the user's physiological data, analyze the indoor environment data based on the identification results and the recreated environment, and generate control instructions based on the analysis results; The control module controls the reconstruction module based on the control instruction; The recycling module is used for ecological recycling of indoor air environment.

2. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The indoor air environment data includes air composition, air temperature, air humidity and wind speed.

3. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The physiological data includes blood pressure, heart rate, disease status, age, and gender.

4. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The processing module includes an environment module, an identification module, and an analysis module; The environment module and the identification module are respectively connected to the analysis module; The environment module is used to select different recreated environments according to the adjustment instructions, wherein the recreated environments include grassland environment, forest environment, and marine environment; The identification module is used to perform level identification on the user's physiological data, wherein the level identification is determined based on a threshold value; The analysis module extracts environmental parameters of the recreated environment based on the recreated environment, wherein the environmental parameters include temperature, humidity, composition, and wind speed of the recreated environment; and according to the recognition results, numerically adjusts the environmental parameters, then performs statistics on the indoor environment data, and performs difference calculation on the numerical adjustment results according to the statistical results to obtain analysis results, and generates control instructions for different environmental parameters according to the analysis results.

5. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The control module includes a receiving module and a transmission module; The receiving module is connected to the transmitting module; The receiving module is used to receive the control instruction and generate the control signal through logic operation according to the control instruction; The transmission module is used for transmitting the control signal to the reconstruction module.

6. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The processing module is also connected to a setting module; The setting module is used to obtain user adding instructions and fine-tuning instructions. The adding instructions are used to add categories of the recreated environment in the processing module and adjust environmental parameters in the added recreated environment. The fine-tuning instructions are used to fine-tune the control instructions.

7. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The processing module is also connected to a storage module; The storage module is used to store the data in the processing module and share the stored data.

8. The indoor air environment ecological reconstruction system according to claim 1 is characterized by: The processing module is also connected to a display module; The display module is used to display the recreated environment and update the display result based on the environmental parameters of the recreated environment.

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