Intelligent detection device for human settlement environment

Abstract

The invention relates to the technical field of environment intelligent detection, in particular to an intelligent detection device for a human settlement environment, and the device comprises an area module which is used for monitoring the environment parameters of a plurality of main areas; the special module is used for dividing the area for placing the shoes in the main area into independent auxiliary areas, and dividing the auxiliary areas into a plurality of independent sub-areas suitable for placing the shoes; after the shoes are placed in a certain sub-area, detecting air environment parameters above the corresponding sub-area; the processing module is used for judging the pollution level of the main area and the pollution level of the auxiliary area, and generating suggestion instructions of the main area and the auxiliary area respectively. According to the invention, the special monitoring of the shoe cabinet area is pertinently set, all-directional coverage monitoring of the conventional environment of the main area and the special pollution of the auxiliary shoe placement area is realized, corresponding wearing guidance suggestions are given in advance, a traditional original judgment mode depending on smell is replaced, and the health risk caused by microbial pollution is effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of intelligent environmental detection technology, and more specifically to an intelligent detection device for human living environments. Background Technology

[0002] Intelligent monitoring of the living environment is an integrated monitoring system built upon the Internet of Things, sensor technology, and cloud platform, with health and comfort as its core. Its core objective is to provide users with a safe and comfortable living space by comprehensively monitoring key indicators of the living environment. The system's monitoring scope covers key indoor and outdoor dimensions. Indoors, it focuses on core indicators directly affecting human health: in terms of air quality, it can accurately monitor pollutants such as PM2.5 / PM10, formaldehyde, TVOC, CO, and CO2; in terms of the physical environment, it can capture parameters such as temperature, humidity, light, and noise in real time to ensure living comfort.

[0003] However, while existing intelligent monitoring systems for human living environments achieve multi-dimensional monitoring of major indoor areas, significant blind spots remain in practical applications. Pollution risks in enclosed or semi-enclosed areas with poor air circulation are often overlooked and difficult to detect effectively by existing monitoring modules. These areas, due to poor ventilation and damp, enclosed environments, easily become breeding grounds for bacteria, mold, and other microorganisms. The shoe storage area, a common example in daily life, is a prime example. In everyday use, shoes are typically cleaned only after multiple wears. Residual sweat, dust, and dander inside provide ample nutrients for the growth of pathogens like mold. With repeated wear, bacteria accumulate, gradually emitting unpleasant odors and directly polluting the air quality in and around the shoe storage area, creating a hidden health hazard. More importantly, some users currently rely on the primitive method of smell to determine whether shoes are safe to wear. This judgment lacks scientific basis and fails to accurately assess the actual severity of bacterial contamination within the shoes. When the bacterial concentration inside shoes reaches a certain threshold, especially for the elderly, children, and people with weak immune systems, it is very easy to inhale pathogens that grow inside the shoes during wear, which can lead to respiratory diseases such as bacterial respiratory infections and pose a direct threat to health.

[0004] Therefore, the present invention provides an intelligent detection device for human living environment to solve the above problems. Summary of the Invention

[0005] To address the aforementioned issues, this invention provides an intelligent detection device for human living environments, which comprehensively monitors environmental parameters in the main indoor area and the footwear storage sub-area, accurately determines pollution levels, provides scientific wearing and handling suggestions, avoids health risks, and improves the targeting and safety of human living environment detection.

[0006] To achieve the above objectives, the technical solution of the present invention is as follows: an intelligent detection device for human living environments, comprising:

[0007] The regional module is used to divide the living environment into several main regions based on the distribution structure of houses, and to monitor the environmental parameters of the main regions as the primary environmental data.

[0008] A special module is used to divide the area where shoes are placed in the main area into independent sub-areas, and then divide the sub-areas into several independent sub-areas suitable for shoe placement. When shoes are placed in a certain sub-area, the air environment parameters above the corresponding sub-area are detected as secondary environmental data.

[0009] The processing module is used to import the first environmental data and the second environmental data into the standard environmental parameter threshold database and the pollution level determination algorithm, respectively; to perform a full-dimensional analysis of the first environmental data of the main area and determine the pollution level of the main area; to determine the pollution level of the sub-area based on the second environmental data of each sub-area; and to generate suggested instructions for the main area and sub-area based on the pollution levels of the main area and the sub-area.

[0010] Furthermore, the region module includes a partitioning subunit, a multi-dimensional sensing subunit, and a preprocessing subunit;

[0011] The zoning sub-unit is used to automatically identify and divide several main areas labeled as living room, bedroom, kitchen, bathroom and study based on the actual functional zoning and spatial distribution structure of the house;

[0012] The multi-dimensional sensing subunit is used to collect environmental parameters in each main area. The environmental parameters include air quality parameters and physical environment parameters. The air quality parameters include PM2.5, PM10, formaldehyde, TVOC, CO and CO2 concentrations, and the physical environment parameters include temperature, humidity, light intensity and noise decibels.

[0013] The data preprocessing subunit is used to perform outlier filtering and data calibration on the raw data collected by the multidimensional sensing subunit. Then, through IoT communication technology, the preprocessed standardized data is transmitted to the processing module in real time as the first environmental data.

[0014] Furthermore, in the special module, each sub-region is divided into several detection areas along the width of the area where the shoe is placed, and air environment parameters are detected directly above each detection area.

[0015] In the processing module, based on the standard environmental parameter threshold database, the air environment detection parameters of each area to be detected are analyzed and judged, and the pollution level of each area to be detected is determined separately; the area to be detected directly above the shoe opening is marked, and the pollution level of the area to be detected directly above the shoe opening is used as the final pollution level of the corresponding sub-area.

[0016] Furthermore, for a sub-region, the method for determining the area to be tested directly above the shoe opening is as follows: Based on the pollution level data of all areas to be tested, the area to be tested with the highest pollution level is selected and marked as the core benchmark area; then, taking the core benchmark area as the center, the adjacent areas to be tested on the left and right sides of the core benchmark area are sequentially extended for investigation.

[0017] For each area to be tested in the extension direction, the pollution level of each area to be tested is compared with the preset level: if the pollution level of the area to be tested is greater than the preset level, it will be included in the candidate area range, and then the extension will continue to the next adjacent area to be tested in the original extension direction; if the pollution level of the area to be tested is less than or equal to the preset level, the extension operation in that direction will be stopped immediately; after the extension and investigation on both sides of the core reference area is completed, the core reference area and all areas to be tested included in the candidate range during the extension process will be marked as the areas to be tested corresponding to the shoe opening.

[0018] Furthermore, the specific method for determining the pollution level of the area to be tested is as follows:

[0019] A baseline odor value is preset for shoe cabinet scenarios. The measured odor value of the area to be tested is compared with the baseline odor value, and the difference is divided into five levels from low to high according to the range of the difference:

[0020] Level 1 pollution: Measured odor value ≤ baseline odor value;

[0021] Level 2 pollution: Measured odor values ​​exceed the baseline odor value by 0-10%;

[0022] Level 3 pollution: The measured odor value exceeds the benchmark odor value by 10%-30%;

[0023] Level 4 pollution: The measured odor value exceeds the benchmark odor value by 30%-50%;

[0024] Level 5 pollution: The measured odor value exceeds the benchmark odor value by more than 50%.

[0025] Furthermore, during the process of generating suggestion instructions for sub-regions in the processing module, wearing guidance suggestions are generated based on the final pollution level of each sub-region. The specific guidance suggestions are as follows:

[0026] When the pollution level of the sub-area is ≤ Level 2 pollution, the shoes can be worn normally and continuously.

[0027] When the pollution level of a sub-area is level three, the user can choose to continue wearing the device according to their actual needs, but it is also recommended to clean it.

[0028] When the pollution level of a sub-area is ≥ Level 4, it is not recommended to continue wearing the shoes placed in the corresponding sub-area; the shoes must be cleaned and disinfected immediately.

[0029] Furthermore, whenever the shoes remain in the sub-area for a period of time greater than or equal to the predetermined time, the air environment parameters are re-detected, the final pollution level of the sub-area is updated, and the residence time is recalculated.

[0030] Furthermore, the pollution level of the main area is determined based on a comprehensive assessment of multi-dimensional indicators from the primary environmental data. The specific determination method is as follows:

[0031] First, based on the type of environmental parameters, two core indicators, air quality and physical environment, are obtained. Then, the two core indicators are matched with the corresponding national standard limits in the standard environmental parameter threshold database to clarify the degree of deviation between the measured value and the threshold of each core indicator.

[0032] For each core indicator, the individual parameters are divided into 5 pollution levels based on the range of measured values ​​exceeding the threshold. Then, a weighting coefficient is preset based on the degree of impact of each individual parameter on human health, and the weighted score of each individual parameter is calculated. Finally, the comprehensive pollution score of each main area is obtained. The final pollution level is determined according to the comprehensive pollution score: 85-100 points is Level 1, 70-84 points is Level 2, 55-69 points is Level 3, 40-54 points is Level 4, and below 40 points is Level 5.

[0033] If any single parameter reaches Level 5 pollution, the overall pollution level of the main area will be directly determined to be Level 5.

[0034] Furthermore, each sub-area is equipped with a flow guiding device to direct the gas inside the forefoot of the shoe toward the shoe opening;

[0035] Each flow guiding device includes a positioning groove set in a sub-region, which is used to place the front part of the shoe; the top of each positioning groove has a telescopic groove, and an electrically controlled telescopic rod is fixedly connected to the top of each telescopic groove. A stabilizing seat is fixedly connected to the output end of each electrically controlled telescopic rod. The bottom of each stabilizing seat has a groove, and a pushing block is slidably fitted inside the groove. The top of the pushing block and the top wall of the groove are both extrusion chambers. Several springs are set inside each extrusion chamber. The two ends of the springs are fixedly connected to the top wall of the extrusion chamber and the top of the pushing block, respectively. Several flow channels extending into the extrusion chamber are opened at the bottom of each pushing block. The processing module is also used to control the telescopic movement of the electrically controlled telescopic rod.

[0036] The above approach has the following beneficial effects:

[0037] 1. This solution fills the gap in the existing intelligent monitoring system for human settlements by superimposing full-coverage monitoring of the main area with precise focused monitoring of the footwear sub-area, thus achieving a balance between comprehensiveness and targetedness in human settlements monitoring.

[0038] Compared to existing technologies that primarily focus on monitoring conventional indicators in open main areas such as living rooms and bedrooms, this solution specifically divides the shoe-placement area into independent sub-areas, and further subdivides them into sub-areas adapted for shoe placement. Each sub-area is further subdivided into test areas along its width. When shoes are placed, the corresponding area is activated to capture and analyze the gases within that area. Through the subdivision of sub-areas and the precise division of test areas, gaseous environmental parameters at different locations above the shoes can be captured in a targeted manner. Furthermore, by employing a scientific logic of core benchmark area screening and bidirectional extended investigation, the difference in gaseous odors between the shoe opening and other areas can be accurately distinguished. Since the shoe opening is the core channel for the outward diffusion of pollutants and odors generated by bacteria and mold growth inside the shoe, the degree of gaseous odor there is directly related to the overall pollution level inside the shoe. Therefore, this solution defines the actual pollution level inside the shoe based on the odor level of the test area corresponding to the shoe opening. This solution enables real-time monitoring of the pollution accumulation in the secondary area (shoe cabinet), accurately determining whether pollutants such as mold and odors will spread to the surrounding environment and thus endanger human respiratory health, especially for the elderly, children, and other people with weakened immune systems, building a strong hidden pollution protection barrier. In addition, by focusing on the shoe opening, the core area for pollution diffusion, targeted testing reduces the dilution or misjudgment of pollution levels caused by the average testing of the entire area, ensuring that the test results closely match the actual pollution state inside the shoes, improving the reliability of the test data, and providing a core basis for generating accurate wearing guidance and pollution treatment suggestions.

[0039] 2. In this solution, the regional module, through the collaboration of partitioned sub-units, multi-dimensional sensing sub-units and pre-processing sub-units, achieves comprehensive collection and accurate pre-processing of multi-dimensional parameters such as air quality and physical environment in the main area, ensuring the integrity and reliability of the first environmental data and the second environmental data. It solves the technical pain points of difficulty in identifying pollution hazards in closed areas and incomplete coverage of conventional monitoring, builds a comprehensive health protection network for users, and reduces the risk of respiratory infections.

[0040] 3. This solution utilizes a built-in flow guiding device in a sub-region to achieve targeted extraction and comprehensive collection of contaminated gases inside the shoe, improving the accuracy of detection and health warnings. When the forefoot of the shoe is placed in the positioning slot, the processing module controls the electronically controlled telescopic rod to push the pressing block against the shoe body. During the compression process, the contaminated gases (including bacterial metabolites, odor substances, etc.) retained at the forefoot are directed towards the shoe opening and then captured by a special unit, obtaining a sample that more closely reflects the actual contamination situation inside the shoe. This solves the detection deviation problem caused by gas retention inside the shoe and improves the accuracy of contamination level determination. Simultaneously, the flow channel of the pressing block and the compression chamber form an airflow circulation. The airflow generated during compression is sprayed into the shoe through the flow channel (the gas passes through the breathable structure on the shoe surface, such as a breathable mesh), achieving comprehensive replacement and screening of contaminated gases and reducing the omission of local contamination.

[0041] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0042] Figure 1 This is a schematic flowchart of an embodiment of the intelligent detection device for human living environment according to the present invention;

[0043] Figure 2 This is a schematic diagram of the sub-region structure of an embodiment of the intelligent detection device for human living environment of the present invention;

[0044] Figure 3 for Figure 2 Enlarged view of section A;

[0045] Figure 4 This is a side cross-sectional view of the flow guiding device in an embodiment of the intelligent detection device for human living environment of the present invention.

[0046] The reference numerals in the accompanying drawings of the instruction manual include: 1. Positioning groove; 2. Pushing block; 201. Drainage channel; 3. Telescopic groove; 4. Electrically controlled telescopic rod; 5. Stabilizing seat; 6. Spring. Detailed Implementation

[0047] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] In the description of this invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0049] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0050] The following detailed description illustrates the specific implementation method:

[0051] Example 1:

[0052] As attached Figure 1 As shown, an intelligent detection device for human living environment includes a regional module, a special module and a processing module, which performs intelligent detection of human living environment and judges in real time the degree of danger of environmental parameters of human living environment to humans.

[0053] Specifically, the region module includes a partitioning subunit, a multi-dimensional sensing subunit, and a preprocessing subunit:

[0054] The zoning sub-unit is used to automatically identify and divide several main areas labeled as living room, bedroom, kitchen, bathroom and study based on the actual functional zoning and spatial distribution structure of the house;

[0055] The multi-dimensional sensing subunit is used to collect environmental parameters in each main area. The environmental parameters include air quality parameters and physical environment parameters. The air quality parameters include PM2.5, PM10, formaldehyde, TVOC, CO and CO2 concentrations, and the physical environment parameters include temperature, humidity, light intensity and noise decibels.

[0056] The data preprocessing subunit is used to perform outlier filtering and data calibration on the raw data collected by the multidimensional sensing subunit. Then, through IoT communication technology, the preprocessed standardized data is transmitted to the processing module in real time as the first environmental data.

[0057] The special features of this plan, specifically, are as follows: Figure 3 As shown, in the special module, the area where shoes are placed in the main area (such as an entryway shoe cabinet or balcony shoe rack) is divided into independent sub-areas. Based on common shoe sizes (such as adult shoes in sizes 38-45), the sub-areas are further divided into 20 independent sub-areas suitable for shoe placement. The top of each sub-area is equally divided into several detection areas along the width of the shoe-placement area (e.g., the shoe cabinet). A set of miniature odor sensors is configured directly above each detection area to achieve directional and synchronous collection of air environment parameters at different locations above the shoes. When shoes are placed in a certain sub-area, it triggers the detection of all detection areas in the corresponding sub-area, collecting parameters such as odor intensity and mold concentration at different locations above the sub-area and forming second environmental data. In determining whether a shoe has been placed in a sub-area (i.e., the triggering process for sub-area detection), a through-beam infrared sensor or a pressure sensor can be preferred as the triggering element to transmit data to the processing module. If a through-beam infrared sensor is used, the transmitter and receiver can be installed on the sides or top and bottom of the sub-area entrance, respectively. When a shoe is placed in the sub-area, the infrared beam is blocked, and the sensor immediately sends a trigger signal to the processing module. If a pressure sensor is used, it is embedded in the bottom of the sub-area. When a shoe is placed, if the weight detected by the sensor reaches a preset threshold (this threshold is calibrated based on the weight range of common shoes and can be flexibly adjusted), it is determined that a shoe has been placed and the detection is triggered.

[0058] Specifically, the processing module imports the first environmental data and the second environmental data into a standard environmental parameter threshold database and a pollution level determination algorithm, respectively; and achieves accurate pollution level determination and generation of suggested instructions through multi-dimensional analysis.

[0059] 1. Conduct a comprehensive analysis of the primary environmental data for the main area to determine the pollution level of the main area;

[0060] 2. Perform hierarchical analysis on the second environmental data of each sub-region to determine the pollution level of the corresponding sub-region (the entire shoe cabinet) and individual sub-regions;

[0061] 3. Based on the pollution levels of the main area and sub-areas, generate graded suggested instructions (e.g., a level 1 warning is only pushed to the APP, while a level 5 warning triggers an audible and visual alarm), and synchronize them to the user's mobile APP or the smart display screen in the entrance hall.

[0062] The pollution level of the main area is determined based on a comprehensive assessment of multiple indicators from primary environmental data. The specific determination method is as follows:

[0063] First, based on the type of environmental parameters, two core indicators are obtained: air quality and physical environment. Then, the two core indicators are matched with the corresponding national standard limits in the standard environmental parameter threshold database to determine the degree of deviation between the measured value and the threshold for each core indicator (e.g., the national standard limit for formaldehyde is 0.1 mg / m³, and the measured value in a bedroom is 0.08 mg / m³, with a deviation of -20%).

[0064] For each core indicator, individual parameters are categorized into five pollution levels based on the range of measured values ​​exceeding the threshold. Weighting coefficients are then preset based on the impact of each parameter on human health, and the weighted scores for each parameter are calculated. These scores are then aggregated to obtain the overall pollution score for each main area. Finally, the overall pollution score corresponds to the final pollution level: 85-100 points = Level 1, 70-84 points = Level 2, 55-69 points = Level 3, 40-54 points = Level 4, and below 40 points = Level 5. If any single parameter reaches Level 5 pollution, the overall pollution level of the main area is directly determined to be Level 5.

[0065] During the processing of the second environmental parameter, the processing module analyzes and judges the air environment detection parameters of each detection area based on the standard environmental parameter threshold database, and determines the pollution level of each detection area separately. It also marks the detection area directly above the shoe opening, and uses the pollution level of this area as the final pollution level of the corresponding sub-area, ensuring that the sub-area pollution level is consistent with the actual pollution status inside the shoe. The specific judgment process is as follows:

[0066] The specific method for determining the pollution level of the area to be tested is as follows:

[0067] A baseline odor value is preset for shoe cabinet scenarios. The measured odor value of the area to be tested is compared with the baseline odor value, and the difference is divided into five levels from low to high according to the range of the difference:

[0068] Level 1 pollution: Measured odor value ≤ baseline odor value;

[0069] Level 2 pollution: Measured odor values ​​exceed the baseline odor value by 0-10%;

[0070] Level 3 pollution: The measured odor value exceeds the benchmark odor value by 10%-30%;

[0071] Level 4 pollution: The measured odor value exceeds the benchmark odor value by 30%-50%;

[0072] Level 5 pollution: The measured odor value exceeds the benchmark odor value by more than 50%.

[0073] Secondly, the process of generating recommendations for sub-regions involves generating wearing guidance suggestions based on the final pollution level of each sub-region. The specific guidance suggestions are as follows:

[0074] When the pollution level of the sub-area is ≤ Level 2 pollution, the shoes can be worn normally and continuously.

[0075] When the pollution level of a sub-area is level three, the user can choose to continue wearing the device according to their actual needs, but it is also recommended to clean it.

[0076] When the pollution level of a sub-area is ≥ Level 4, it is not recommended to continue wearing the shoes placed in the corresponding sub-area; the shoes must be cleaned and disinfected immediately.

[0077] For determining the final pollution level of a sub-region, specifically, taking a sub-region divided into 5 areas to be tested (numbered 1-5, arranged from left to right along the width of the shoe cabinet) as an example, the method for determining the shoe opening corresponding to the area to be tested is as follows:

[0078] First, the processing module obtains the pollution level data of the five areas to be tested in the sub-region, namely Level 1 pollution, Level 4 pollution, Level 3 pollution, Level 2 pollution and Level 1 pollution, and selects the area to be tested with the highest pollution level (No. 2, Level 4 pollution), and marks the area to be tested with the number 2 as the core reference area.

[0079] Then, taking the core benchmark area (No. 2) as the center, the investigation is extended sequentially to the adjacent areas to be tested on the left (No. 1) and right (No. 3); the preset pollution level is set as Level 2 pollution to define the effective range of pollution diffusion.

[0080] Leftward extension: If the pollution level (Level 1 pollution) of the area to be tested (No. 1) is lower than the preset level (Level 2 pollution), the leftward extension will stop immediately, and No. 1 will not be included in the candidate area.

[0081] Rightward extension: If the pollution level (Level 3 pollution) of the No. 3 test area is greater than the preset level (Level 2 pollution), it is included in the candidate area range, and then the extension continues to the next test area No. 4 on the right; if the pollution level (Level 2 pollution) of the No. 4 test area is consistent with the preset level, it is not included in the candidate area and the rightward extension stops.

[0082] After the extended investigations on both sides are completed, the core benchmark area (No. 2) and the candidate area (No. 3) are jointly marked as the area to be tested corresponding to the shoe opening. This ensures complete coverage of the shoe opening and the main area of ​​contamination spread, reducing misjudgments of contamination levels caused by testing only a single location. Finally, the highest contamination level of the area to be tested corresponding to the shoe opening (Level 4 contamination for No. 2) is used as the final contamination level for that sub-area. This ensures that the judgment results accurately reflect the actual situation of bacterial growth and odor accumulation inside the shoe, providing a precise basis for subsequent guidance and recommendations.

[0083] Furthermore, when a shoe is removed from a sub-area, the air quality parameters for that sub-area are reset to zero. When a shoe is placed back in that sub-area, the area to be tested is re-tested, and the pollution level of the area corresponding to the shoe opening is reassessed to define the final pollution level of the sub-area. Whenever a shoe remains in a sub-area for a period of time greater than or equal to a predetermined time, the air quality parameters are re-tested, the final pollution level of the sub-area is updated, and the dwell time is recalculated.

[0084] Example 2:

[0085] The difference from Example 1 is that each sub-region is equipped with a flow guiding device to direct the gas inside the shoe's foreground towards the shoe opening, further improving the comprehensiveness and accuracy of detecting contaminated gases inside the shoe. Through the synergistic effect of mechanical compression and airflow guidance, deep-seated contaminated gases inside the shoe are fully extracted, reducing detection deviations caused by gas retention. Specifically, such as... Figure 2 , Figure 3 and Figure 4 As shown, each flow guiding device includes a positioning groove 1 set in a sub-region, which is used to place the front part of the shoe; the top of each positioning groove 1 has a telescopic groove 3, and the top of each telescopic groove 3 is screwed to an electrically controlled telescopic rod 4. The output end of each electrically controlled telescopic rod 4 is fixedly connected to a stabilizing seat 5. The bottom of each stabilizing seat 5 has a groove, and a pushing block 2 is slidably fitted inside the groove. The top of the pushing block 2 and the top wall of the groove are both extrusion chambers. Several springs 6 are set inside each extrusion chamber. The two ends of each spring 6 are fixedly connected to the top wall of the extrusion chamber and the top of the pushing block 2, respectively. Several flow channels 201 extending into the extrusion chamber are opened at the bottom of each pushing block 2; the processing module is also used to control the telescopic movement of the electrically controlled telescopic rod 4.

[0086] The specific implementation process is as follows: In the initial state, the electric telescopic rod 4 retracts, and the pushing block 2 maintains a certain distance from the positioning groove 1, leaving sufficient space for placing the shoe; when the sub-area sensor detects the placement of the shoe, the processing module first activates the flow guiding device, controls the electric telescopic rod 4 to extend, and then the stabilizing seat 5 moves down, and then the pushing block 2 moves down and fits against the front of the shoe. As the pushing block 2 continues to descend, the spring 6 in the compression chamber is compressed, and at the same time the volume of the compression chamber decreases, causing the internal air to be sprayed at high speed through the drainage channel 201 to the shoe surface and the bottom of the sub-area. These airflows can flow into the front of the shoe through the ventilation holes or ventilation mesh of the shoe surface, guiding the polluted gases (such as sweat fermentation products and mold metabolites) trapped inside the front of the shoe to flow towards the shoe opening. Simultaneously, a special module collects core detection data from the shoe opening area. After collection, the electrically controlled telescopic rod 4 retracts, and the push block 2 resets to standby mode under the elastic force of the spring 6. This allows for the detection of polluted gases in deeper areas such as the shoe toe, making the sub-area pollution level determination more accurate to the actual pollution state inside the shoe. This reduces misjudgments caused by surface compliance leading to internal contamination, which could result in the continuous diffusion of polluted gases into the indoor environment. Consequently, it reduces the risk of microbial contamination in open main areas such as the entryway and living room, and minimizes potential indoor air pollution hazards. Secondly, by capturing deep pollution data inside the shoe, the degree of pollution accumulation in the enclosed dead corner of the shoe cabinet can be more accurately assessed. This provides a reliable basis for the processing module to generate joint early warnings for the main and sub-areas, improving the pollution monitoring system for the living environment, promptly identifying excessive odor gases in sub-areas, and reducing the possibility of respiratory infections caused by these odor gases during daily life.

[0087] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. An intelligent detection device for human living environments, characterized in that, include: The regional module is used to divide the residential area into several main areas based on the building distribution structure, and to monitor the environmental parameters of the main areas as the primary environmental data. A special module is used to divide the area where shoes are placed in the main area into independent sub-areas, and then divide the sub-areas into several independent sub-areas suitable for shoe placement. When shoes are placed in a certain sub-area, the air environment parameters above the corresponding sub-area are detected as secondary environmental data. The processing module is used to import the first environmental data and the second environmental data into the standard environmental parameter threshold database and the pollution level determination algorithm, respectively; perform a full-dimensional analysis of the first environmental data of the main area to determine the pollution level of the main area; determine the pollution level of the sub-area based on the second environmental data of each sub-area; and generate suggested instructions for the main area and sub-area according to the pollution levels of the main area and the sub-area.

2. The intelligent detection device for human living environment according to claim 1, characterized in that, The region module includes a partitioning subunit, a multi-dimensional sensing subunit, and a preprocessing subunit; The zoning sub-unit is used to automatically identify and divide several main areas labeled as living room, bedroom, kitchen, bathroom and study based on the actual functional zoning and spatial distribution structure of the house; The multi-dimensional sensing subunit is used to collect environmental parameters in each main area. The environmental parameters include air quality parameters and physical environment parameters. The air quality parameters include PM2.5, PM10, formaldehyde, TVOC, CO and CO2 concentrations, and the physical environment parameters include temperature, humidity, light intensity and noise decibels. The data preprocessing subunit is used to perform outlier filtering and data calibration on the raw data collected by the multidimensional sensing subunit. Then, through IoT communication technology, the preprocessed standardized data is transmitted to the processing module in real time as the first environmental data.

3. The intelligent detection device for human living environment according to claim 2, characterized in that, In the special module, each sub-region is divided into several detection areas along the width of the area where the shoes are placed, and air environment parameters are detected directly above each detection area. In the processing module, based on the standard environmental parameter threshold database, the air environment detection parameters of each area to be detected are analyzed and judged, and the pollution level of each area to be detected is determined separately; the area to be detected directly above the shoe opening is marked, and the pollution level of the area to be detected directly above the shoe opening is used as the final pollution level of the corresponding sub-area.

4. The intelligent detection device for human living environment according to claim 3, characterized in that, In the monitoring of a sub-region, the method for determining the area to be tested directly above the shoe opening is as follows: Based on the pollution level data of all areas to be tested, the area with the highest pollution level is selected and marked as the core benchmark area; then, with the core benchmark area as the center, the adjacent areas to be tested on the left and right sides of the core benchmark area are investigated in sequence. For each area to be detected in the extension direction, the pollution level of each area to be detected is compared with the preset level: if the pollution level of the area to be detected is greater than the preset level, it will be included in the candidate area range, and then the extension will continue to the next adjacent area to be detected in the original extension direction; if the pollution level of the area to be detected is less than or equal to the preset level, the extension operation in that direction will be stopped immediately. Once the investigation on both sides of the core reference area is completed, the core reference area and all the areas to be tested that are included in the candidate range during the extension process will be marked as the areas to be tested corresponding to the shoe opening.

5. The intelligent detection device for human living environment according to claim 4, characterized in that, The specific method for determining the pollution level of the area to be tested is as follows: A baseline odor value is preset for shoe cabinet scenarios. The measured odor value of the area to be tested is compared with the baseline odor value, and the difference is divided into five levels from low to high according to the range of the difference: Level 1 pollution: Measured odor value ≤ baseline odor value; Level 2 pollution: Measured odor values ​​exceed the baseline odor value by 0-10%; Level 3 pollution: The measured odor value exceeds the benchmark odor value by 10%-30%; Level 4 pollution: The measured odor value exceeds the benchmark odor value by 30%-50%; Level 5 pollution: The measured odor value exceeds the benchmark odor value by more than 50%.

6. The intelligent detection device for human living environment according to claim 5, characterized in that, During the process of generating suggestion instructions for sub-regions in the processing module, wearing guidance suggestions are generated based on the final pollution level of each sub-region. The specific guidance suggestions are as follows: When the pollution level of the sub-area is ≤ Level 2 pollution, the shoes can be worn normally and continuously. When the pollution level of a sub-area is level three, the user can choose to continue wearing the device according to their actual needs, but it is also recommended to clean it. When the pollution level of a sub-area is ≥ Level 4, it is not recommended to continue wearing the shoes placed in the corresponding sub-area; the shoes must be cleaned and disinfected immediately.

7. The intelligent detection device for human living environment according to claim 6, characterized in that, When a shoe is removed from a sub-area, the air environment parameters of the corresponding sub-area are reset to zero. When a shoe is placed in the sub-area again, the area to be tested is tested again, and the pollution level of the area corresponding to the shoe opening is re-determined to define the final pollution level of the sub-area.

8. The intelligent detection device for human living environment according to claim 7, characterized in that, Whenever the shoes remain in the sub-area for a period of time greater than or equal to the predetermined time, the air environment parameters are re-detected, the final pollution level of the sub-area is updated, and the residence time is recalculated.

9. The intelligent detection device for human living environment according to claim 8, characterized in that, The pollution level of the main area is determined based on a comprehensive assessment of multiple indicators from primary environmental data. The specific determination method is as follows: First, based on the type of environmental parameters, two core indicators, air quality and physical environment, are obtained. Then, the two core indicators are matched with the corresponding national standard limits in the standard environmental parameter threshold database to clarify the degree of deviation between the measured value and the threshold of each core indicator. For each core indicator, the individual parameters are divided into 5 pollution levels based on the range of measured values ​​exceeding the threshold. Then, based on the degree of impact of each individual parameter on human health, a weighted coefficient is preset, the weighted score of each individual parameter is calculated, and the comprehensive pollution score of each main area is obtained by summing them up. Finally, the pollution level is determined based on the comprehensive pollution score: 85-100 points is Level 1, 70-84 points is Level 2, 55-69 points is Level 3, 40-54 points is Level 4, and below 40 points is Level 5. If any single parameter reaches Level 5 pollution, the overall pollution level of the main area will be directly determined to be Level 5.

10. The intelligent detection device for human living environment according to claim 9, characterized in that, Each sub-area is equipped with a flow guiding device to direct the gas inside the front of the shoe toward the shoe opening; Each flow guiding device includes a positioning groove (1) set in a sub-area. The positioning groove (1) is used to place the front part of the shoe. The top of the positioning groove (1) is opened with a telescopic groove (3). The top of the telescopic groove (3) is fixedly connected with an electric telescopic rod (4). The output end of the electric telescopic rod (4) is fixedly connected with a stabilizing seat (5). The bottom of the stabilizing seat (5) is opened with a groove. The inside of the groove is slidably fitted with a pushing block (2). The top of the pushing block (2) and the top wall of the groove are both extrusion chambers. Several springs (6) are set inside the extrusion chamber. The two ends of the springs (6) are fixedly connected to the top wall of the extrusion chamber and the top of the pushing block (2) respectively. Several flow channels (201) extending into the extrusion chamber are opened at the bottom of the pushing block (2). The processing module is also used to control the telescopic movement of the electric telescopic rod (4).

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