Nanomaterial indoor air intelligent management system

Abstract

This invention relates to the field of air purification system technology, specifically to a nanomaterial-based intelligent indoor air purification system, comprising a distributed multi-dimensional environmental perception module, an edge intelligent decision-making module, a magnetic targeted photocatalytic purification module, and a full-spectrum adaptive excitation module. The invention utilizes a core-shell structured Fe3O4@mesoporous SiO2@TiO2 magnetic visible light responsive nanocomposite material, overcoming the limitation of traditional pure TiO2 photocatalytic materials being only exciteable by ultraviolet light. This allows for efficient catalytic degradation in indoor visible light environments, addressing the industry pain point of extremely low catalytic efficiency of existing materials in low-light indoor environments.

Description

Technical Field

[0001] This invention relates to the field of air purification system technology, and in particular to an intelligent indoor air purification system using nanomaterials. Background Technology

[0002] Indoor air quality has become one of the core environmental factors affecting public health. Odors and bioaerosols generated by daily activities, as well as inhalable particulate matter (PM2.5 / PM10) from outdoors, are characterized by long release cycles, high toxicity and hazards, and uneven concentration distribution. Long-term exposure to environments with excessive pollution can significantly increase the risk of respiratory diseases, immune dysfunction, and even malignant lesions.

[0003] Current indoor air purification technologies and supporting systems mainly rely on activated carbon physical adsorption, nano-photocatalytic degradation, and low-temperature plasma purification as core technologies, combined with basic air quality detection and ventilation modules. However, in practical applications, many technical shortcomings remain. Existing nano-photocatalytic materials are mostly based on pure titanium dioxide systems, which can only be excited by ultraviolet light. In the weak light environment of indoor spaces, dominated by visible light, their catalytic degradation efficiency decreases significantly. Furthermore, these materials often employ fixed loading designs, failing to dynamically adjust the enrichment area and catalytic activity according to the spatial distribution of indoor pollutants. This easily leads to treatment blind spots and premature deactivation of materials in certain areas. Summary of the Invention

[0004] In response to the technical problems mentioned in the background art, the present invention provides an intelligent indoor air management system using nanomaterials.

[0005] The technical solution adopted in this invention is: a nanomaterial indoor air intelligent governance system, including a distributed multi-dimensional environmental perception module, an edge intelligent decision-making module, a magnetic targeted photocatalytic governance module, and a full-spectrum adaptive excitation module;

[0006] The distributed multi-dimensional environmental sensing module is used to collect pollutant concentration data and light intensity data at various indoor locations, and generate and output an indoor pollutant spatial distribution map.

[0007] The input end of the edge intelligent decision-making module is electrically connected to the output end of the distributed multi-dimensional environmental perception module, and is used to receive the spatial distribution map of pollutants and light intensity data, and generate targeted enrichment control instructions and light source power control instructions accordingly.

[0008] The control terminal of the magnetic targeted photocatalytic remediation module is electrically connected to the output terminal of the edge intelligent decision-making module. The magnetic targeted photocatalytic remediation module adopts a core-shell structured magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material.

[0009] The magnetic targeted photocatalytic treatment module is equipped with a fixed load layer and multiple sets of magnetically controlled targeted treatment branches corresponding to different functional areas in the room. Each magnetically controlled targeted treatment branch is equipped with an electromagnetic coil that is linked to the targeted enrichment and control command, which is used to enrich the nanocomposite material into the treatment branch corresponding to the area where the pollutants exceed the standard through directional magnetic field control.

[0010] The control terminal of the full-spectrum adaptive excitation module is electrically connected to the output terminal of the edge intelligent decision module. The emission spectrum of the full-spectrum adaptive excitation module matches the visible light response band of the nanocomposite material, and is used to adjust the output power according to the light source power control command to provide a photocatalytic excitation source for the nanocomposite material.

[0011] In one embodiment, the magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material has superparamagnetic Fe3O4 nanoparticles as the core, mesoporous SiO2 as the middle layer, and nitrogen-silver co-doped anatase TiO2 as the outer shell. The particle size of the composite material is 50-80 nm, the mesopore size is 2-5 nm, and the visible light response band covers 400-500 nm.

[0012] In one embodiment, the distributed multi-dimensional environmental perception module includes multiple sets of distributed wireless sensor nodes and a main controller. Each set of wireless sensor nodes integrates a pollutant detection unit, a light intensity sensor, and a human infrared sensor. The wireless sensor nodes are networked with the main controller through a wireless communication protocol. The main controller constructs an indoor pollutant concentration distribution heat map through a spatial interpolation algorithm.

[0013] In one embodiment, the edge intelligent decision-making module has a built-in pollutant classification and treatment algorithm model, which is used to classify treatment levels according to the toxicity priority of pollutants and match corresponding treatment strategies. At the same time, it switches between manned and unmanned treatment modes according to the human activity data collected by human infrared sensors.

[0014] In one embodiment, the full-spectrum adaptive excitation module is a full-spectrum adjustable LED light source array with emission peaks concentrated in the 400-500nm range. The edge intelligent decision module linearly adjusts the output power of the light source according to the collected indoor light intensity data. When the indoor light intensity is ≥500 lux, the power of the light source is reduced to less than 20% of the rated power.

[0015] In one embodiment, the system further includes a nanomaterial in-situ regeneration module electrically connected to the edge intelligent decision-making module. The nanomaterial in-situ regeneration module is equipped with a high-frequency alternating magnetic field generating unit, which generates an alternating magnetic field of 100-300 kHz. Through the magnetocaloric effect, the Fe3O4@mesoporous SiO2@TiO2 nanocomposite material is heated to 110-130℃. This, combined with the full-spectrum adaptive excitation module, enables in-situ regeneration of the material's adsorption sites and catalytic activity.

[0016] In one embodiment, a secondary pollution control module is also included. The secondary pollution control module includes an H13 grade HEPA filter disposed at the system air inlet and a nanopore interception membrane disposed at the system air outlet. The pore size of the nanopore interception membrane is ≤20nm, and it is used to intercept detached Fe3O4@mesoporous SiO2@TiO2 nanocomposite material particles.

[0017] In one embodiment, a low-temperature plasma generating unit electrically connected to the edge intelligent decision-making module is also included. The low-temperature plasma generating unit is only activated in the unmanned governance mode and is used to generate active groups to form a synergistic degradation effect with nano-photocatalysis. An ozone decomposition unit is provided at the rear end of the low-temperature plasma generating unit.

[0018] In one embodiment, a local human-computer interaction module is also included. The local human-computer interaction module is equipped with a touch screen and an offline voice recognition module for displaying system operation data and pollutant concentration data in real time, and supports local touch control and offline voice control.

[0019] In one embodiment, a cloud-based full lifecycle operation and maintenance module is also included. The cloud-based full lifecycle operation and maintenance module is connected to the edge intelligent decision-making module through a wireless communication unit to realize remote monitoring, system firmware OTA upgrade, consumable life warning and multi-intelligent device collaborative linkage.

[0020] The beneficial effects of this invention are as follows: Compared with the prior art, firstly, this invention uses a core-shell structure Fe3O4@mesoporous SiO2@TiO2 magnetic visible light responsive nanocomposite material, which breaks through the limitation that traditional pure TiO2 photocatalytic materials can only be excited by ultraviolet light. It can be adapted to indoor visible light environment to achieve efficient catalytic degradation, solving the industry pain point of extremely low catalytic efficiency of existing materials in indoor weak light environment; at the same time, through the directional magnetic field control of multiple sets of magnetically controlled targeted treatment branches and electromagnetic coils, the nanomaterials can be accurately enriched in the area where pollutants exceed the standard, solving the problem that traditional fixed load materials cannot cope with local pollutant exceedance and have treatment blind spots, realizing targeted and precise treatment and avoiding ineffective full-space operation.

[0021] Secondly, by constructing a spatial distribution map of indoor pollutants through a distributed multi-dimensional environmental perception module, it breaks through the limitations of traditional single-point detection and can accurately identify the distribution characteristics of pollutants throughout the space, providing precise data support for targeted treatment. With the linkage and control of the edge intelligent decision module, it can simultaneously generate targeted enrichment and light source power control commands. Combined with the dynamic power adjustment of the full-spectrum adaptive excitation module, it achieves the optimal balance between treatment efficiency and energy consumption, solving the problems of traditional systems that can only achieve simple threshold start-stop control, low level of intelligence, and no complete treatment closed loop, and significantly improving the stability and economy of indoor air treatment. Attached Figure Description

[0022] Figure 1 This is a system block diagram of the present invention;

[0023] Figure 2 This is a block diagram of the distributed multi-dimensional environmental perception module in this invention;

[0024] Figure 3 This is a block diagram of the edge intelligent decision-making module in this invention;

[0025] Figure 4 This is a block diagram of the magnetic targeted photocatalytic remediation module in this invention;

[0026] Figure 5 This is a block diagram of the full-spectrum adaptive excitation module in this invention. Detailed Implementation

[0027] In the description of this invention, it should be noted that the terms "front", "up", "down", "left", "right", "vertical", "horizontal", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and 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 this invention.

[0028] To address the problems existing in the background technology, this application proposes the following technical solution: a nanomaterial indoor air intelligent governance system, including a distributed multi-dimensional environmental perception module, an edge intelligent decision-making module, a magnetic targeted photocatalytic governance module, a full-spectrum adaptive excitation module, a nanomaterial in-situ regeneration module, a secondary pollution prevention and control module, a local human-computer interaction module, a cloud-based full life cycle operation and maintenance module, and a low-temperature plasma generation unit.

[0029] In this embodiment, the distributed multi-dimensional environmental sensing module is used to collect pollutant concentration data and light intensity data at various points indoors, and generate and output an indoor pollutant spatial distribution map. The distributed multi-dimensional environmental sensing module includes multiple sets of distributed wireless sensor nodes and a main controller. Each set of wireless sensor nodes integrates a pollutant detection unit, a light intensity sensor, and a human infrared sensor. The wireless sensor nodes are networked with the main controller through a wireless communication protocol. The main controller constructs an indoor pollutant concentration distribution heat map through a spatial interpolation algorithm.

[0030] The distributed multi-dimensional environmental sensing module serves as the system's input terminal. It consists of a network of multiple distributed wireless sensor nodes and a main controller. Each sensor node integrates a formaldehyde electrochemical sensor, a TVOC electrochemical sensor, a laser particulate matter sensor (PM2.5 / PM10), a bioaerosol fluorescence sensor, a temperature and humidity sensor, a light intensity sensor, and a human infrared sensor. The sensor nodes are evenly distributed throughout the indoor space, covering all functional areas. The module collects real-time data on pollutant types, concentrations, environmental parameters, and human activity status at various points throughout the space. This data is transmitted to the main controller via the ZigBee wireless protocol. The main controller constructs an indoor pollutant concentration distribution heat map based on a spatial interpolation algorithm, marking locations where pollutants exceed standards and their diffusion trends. Simultaneously, it collects indoor natural light intensity data, providing comprehensive data support for subsequent targeted treatment and catalytic efficiency control. All sensor nodes employ a low-power design, with built-in batteries providing over 12 months of continuous operation, eliminating the need for complex wiring.

[0031] In this embodiment, the input end of the edge intelligent decision-making module is electrically connected to the output end of the distributed multi-dimensional environmental perception module, which is used to receive the spatial distribution map of pollutants and light intensity data, and generate targeted enrichment control instructions and light source power control instructions accordingly. The edge intelligent decision-making module has a built-in pollutant classification and treatment algorithm model, which is used to classify the treatment level according to the priority of pollutant toxicity and match the corresponding treatment strategy. At the same time, it switches the manned / unmanned treatment mode according to the human infrared sensor's collected personnel activity data.

[0032] The edge intelligent decision-making module serves as the system's control center. It utilizes an ARM-based edge computing chip and incorporates a pollutant classification and treatment algorithm model trained on massive amounts of indoor environmental data. Upon receiving and transmitting comprehensive data, it performs the following core processing steps: First, it classifies pollutants into four levels based on toxicity priority: highly toxic pollutants (formaldehyde, benzene compounds), conventional VOCs, bioaerosols, and particulate matter, matching corresponding treatment strategies and priorities. Second, it calculates the theoretical catalytic efficiency of the nano-photocatalytic materials based on indoor light intensity data, generating dynamic control commands for excitation light source power and magnetic field strength. Third, it automatically switches between manned and unmanned treatment modes based on personnel activity status. In manned mode, it activates low-noise, non-secondary-pollution adsorption and visible light catalysis modes; in unmanned mode, it can activate high-intensity catalysis + in-situ regeneration mode. Fourth, it generates targeted enrichment and control commands based on the spatial distribution map of pollutants, matching treatment pathways to corresponding exceedance points. Fifth, it monitors the adsorption saturation and catalytic activity decay data of nanomaterials in real time, automatically triggering in-situ regeneration procedures and consumable warnings. This module uses local edge computing, which does not rely on cloud networks and can still run stably when the network is offline, avoiding control failures caused by network latency.

[0033] In this embodiment, the control end of the magnetic targeted photocatalytic treatment module is electrically connected to the output end of the edge intelligent decision-making module. The magnetic targeted photocatalytic treatment module adopts a core-shell structure magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material. The magnetic targeted photocatalytic treatment module is equipped with a fixed load layer and multiple sets of magnetically controlled targeted treatment branches corresponding to different functional areas in the room. Each magnetically controlled targeted treatment branch is equipped with an electromagnetic coil that is linked to the targeted enrichment and regulation command, which is used to enrich the nano-composite material into the treatment branch corresponding to the area where the pollutants exceed the standard through directional magnetic field regulation. The magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material has superparamagnetic Fe3O4 nanoparticles as the core, mesoporous SiO2 as the middle layer, and nitrogen-silver co-doped anatase TiO2 as the outer shell. The particle size of the composite material is 50-80nm, the mesopore size is 2-5nm, and the visible light response band covers 400-500nm.

[0034] Among them, the magnetic targeted photocatalytic treatment module is the core treatment execution unit of the system. The core adopts a self-designed core-shell structure magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material. This material has superparamagnetic Fe3O4 nanoparticles as the core, high specific surface area mesoporous SiO2 in the middle layer, and nitrogen-silver co-doped anatase TiO2 as the outer shell. The particle size of the material is controlled at 50-80nm, the mesopore size is 2-5nm, and it has extremely strong photoresponse capability in the 400-500nm visible light band with a quantum efficiency of ≥65%. At the same time, it is superparamagnetic and can be rapidly targeted and controlled by an external magnetic field. This module employs a tiered load design: First, a fixed load layer, where nanocomposite materials are uniformly loaded onto the surface of a honeycomb aluminum substrate and placed at the air inlet of the main air duct for routine and continuous indoor air purification; second, a magnetically controlled targeted enrichment unit, consisting of multiple independent transparent treatment branch ducts, corresponding electromagnetic coils, and a dispersible magnetic nanocomposite material system. Each treatment branch corresponds to a functional area indoors. The electromagnetic coils are linked to the control commands of the edge intelligent decision-making module. When pollutants in the corresponding area exceed the standard, the electromagnetic coils are energized to generate a directional magnetic field, rapidly enriching the magnetic nanocomposite materials dispersed in the main cavity into the corresponding branch duct with the excessive pollutants. The pollutants are pre-enriched through mesoporous SiO2, and then efficiently degraded through the photocatalytic effect of the outer shell TiO2. After the pollutants have been degraded, the electromagnetic coils are de-energized, and the nanomaterials return to a dispersed state, awaiting the next control command. This achieves targeted and precise treatment of the excessive areas, solving the problem that traditional fixed load materials cannot cope with localized excessive pollutants.

[0035] In this embodiment, the control terminal of the full-spectrum adaptive excitation module is electrically connected to the output terminal of the edge intelligent decision-making module. The emission spectrum of the full-spectrum adaptive excitation module matches the visible light response band of the nanocomposite material, and is used to adjust the output power according to the light source power control command to provide a photocatalytic excitation source for the nanocomposite material. The full-spectrum adaptive excitation module is a full-spectrum adjustable LED light source array with emission peaks concentrated in the 400-500nm range. The edge intelligent decision-making module linearly adjusts the light source output power according to the collected indoor light intensity data. When the indoor light intensity is ≥500 lux, the light source power is reduced to less than 20% of the rated power.

[0036] The full-spectrum adaptive excitation module serves as the catalytic activity excitation and enhancement unit for the nanocomposite materials. It is linked with the control commands of the edge intelligent decision-making module and the light intensity data from the multi-dimensional environmental perception module. Its core consists of a full-spectrum tunable LED light source array and a low-temperature plasma generation unit. The emission peak of the full-spectrum LED light source array is concentrated in the 400-500nm visible light band, perfectly matching the photoresponse band of the Fe3O4@mesoporous SiO2@TiO2 nanocomposite materials. It can automatically adjust the output power according to the indoor natural light intensity: when the indoor light intensity is ≥500 lux, the light source power is reduced to less than 20% of the rated power, utilizing natural light for catalytic excitation; when the indoor light intensity is <500 lux, the light source power is linearly increased to ensure the catalytic efficiency of the nanocomposite materials remains stable within the rated range, achieving optimal energy consumption control. The low-temperature plasma generation unit is only activated in unmanned mode. It can generate low concentrations of active groups such as hydroxyl radicals and superoxide anions, which work synergistically with nano-photocatalysis. On the one hand, it can rapidly degrade long-chain VOCs that are difficult to degrade and kill bacteria, viruses and other bioaerosols in the air. On the other hand, the active groups can be enriched on the surface of magnetic nanocomposite materials, prolonging the survival time of the active groups and further improving the catalytic degradation efficiency. Compared with single photocatalysis technology, the degradation efficiency under synergistic effect is improved by more than 40%.

[0037] In this embodiment, a nanomaterial in-situ regeneration module electrically connected to the edge intelligent decision-making module is also included. The nanomaterial in-situ regeneration module is equipped with a high-frequency alternating magnetic field generating unit, which is used to generate an alternating magnetic field of 100-300kHz. Through the magnetocaloric effect, the Fe3O4@mesoporous SiO2@TiO2 nanocomposite material is heated to 110-130℃. In conjunction with the full-spectrum adaptive excitation module, the in-situ regeneration of the material adsorption sites and catalytic activity is realized.

[0038] In this embodiment, the secondary pollution control module includes an H13-grade HEPA filter installed at the system air inlet and a nanoporous interception membrane installed at the system air outlet. The nanoporous interception membrane has a pore size ≤20nm and is used to intercept detached Fe3O4@mesoporous SiO2@TiO2 nanocomposite particles. The secondary pollution control module serves as the system's long-term stable operation and safety protection unit, linked to the regeneration commands of the edge intelligent decision-making module. Its core consists of a high-frequency alternating magnetic field generating unit, a two-stage interception and protection unit, and an ozone decomposition unit. The high-frequency alternating magnetic field generating unit can generate an alternating magnetic field with a frequency of 100-300kHz. When the edge intelligent decision-making module detects that the adsorption saturation of Fe3O4@mesoporous SiO2@TiO2 nanocomposite material is ≥80% or the catalytic activity decay is ≥30%, the in-situ regeneration program is triggered in unmanned mode: the high-frequency alternating magnetic field is turned on, and the magnetocaloric effect of Fe3O4 in the core of the magnetic nanocomposite material is used to rapidly raise the material temperature to a low temperature range of 110-130℃, so that the pollutants adsorbed by the mesoporous SiO2 are rapidly desorbed. At the same time, the high-intensity full-spectrum LED light source is turned on, and the desorbed pollutants are completely degraded into CO2 and H2O through photocatalysis, realizing the in-situ regeneration of the material adsorption sites and catalytic activity. The single regeneration time is ≤30min, the material activity recovery rate after regeneration is ≥95%, and the number of cycles for regeneration is ≥500, which greatly extends the service life of the material and eliminates the need for frequent replacement of consumables. The system features a two-stage interception and protection unit: the first stage is an H13-grade HEPA filter located at the system's air inlet, intercepting airborne particulate matter and preventing it from covering the nanomaterial surface and causing deactivation; the second stage is a nanoporous polytetrafluoroethylene (PTFE) interception membrane with a pore size ≤20nm, smaller than the minimum particle size of the nanocomposite material, located at the system's air outlet, completely intercepting any nanoparticles that may detach, eliminating the risk of secondary release of nanomaterials. The ozone decomposition unit uses a manganese-based composite catalyst, located at the rear end of the low-temperature plasma generation unit, which can completely decompose the ozone generated by the plasma. The ozone concentration at the air outlet is ≤0.02mg / m³, far below the national standard limit, avoiding secondary ozone pollution.

[0039] In this embodiment, a low-temperature plasma generating unit electrically connected to the edge intelligent decision-making module is also included. The low-temperature plasma generating unit is only activated in the unmanned governance mode and is used to generate active groups to form a synergistic degradation effect with nano-photocatalysis. An ozone decomposition unit is provided at the rear end of the low-temperature plasma generating unit.

[0040] In this embodiment, the local human-computer interaction module is equipped with a touch screen and an offline voice recognition module, which are used to display system operation data and pollutant concentration data in real time, and support local touch control and offline voice control.

[0041] The local human-machine interface module serves as the system's local operation and status display unit. It features a 7-inch IPS touchscreen display and a built-in offline voice recognition module, working in real-time with the main controller. The display shows real-time data on indoor pollutant concentrations, pollutant distribution heatmaps, the activity status and remaining lifespan of nanocomposite materials, system operating modes and energy consumption data, regeneration records, and other comprehensive information. It also supports touch-based manual control, allowing users to manually switch treatment modes, set timed treatment programs, and manually trigger in-situ regeneration. The offline voice recognition module supports voice control even when offline, recognizing common commands such as "start purification," "switch to sleep mode," and "check formaldehyde concentration," making it suitable for users of all ages. The module also integrates an audible and visual warning unit, automatically triggering warnings when pollutant levels are severely exceeded, nanomaterials fail, equipment malfunctions, or there is a risk of secondary pollution, prompting users to take timely action.

[0042] In this embodiment, the cloud-based full lifecycle operation and maintenance module is connected to the edge intelligent decision-making module through a wireless communication unit to realize remote monitoring, system firmware OTA upgrade, consumable life warning and multi-intelligent device collaborative linkage.

[0043] The cloud-based full lifecycle operation and maintenance module serves as the system's remote operation and maintenance and ecosystem expansion unit. It connects with the main controller via a 4G / WiFi module, synchronizing system operation data, pollutant data, and material status data to the cloud platform in real time. It is supported by a mobile app and a web management backend. Core functions include: 1) Remote monitoring and control: Users can remotely view indoor air quality data and system operating status via the mobile app, remotely switch treatment modes, and set scheduled programs; 2) Full lifecycle operation and maintenance management: Based on big data analysis, the cloud platform automatically pushes reminders for nanomaterial regeneration, warnings for consumable replacement, and personalized air treatment suggestions, while recording the system's full lifecycle operation data and pollutant change trends, enabling traceability of pollution sources; 3) OTA remote upgrades: The cloud platform allows for remote upgrades of the edge-end treatment algorithm model and system firmware, continuously optimizing system treatment performance without manual user intervention; 4) Multi-device collaborative linkage: It can interconnect with home ventilation systems, central air conditioning, smart windows, and other devices. When severely excessive indoor pollutants are detected, it can automatically close smart windows and activate the ventilation system, achieving coordinated optimization of whole-house air treatment, adaptable to various indoor scenarios such as residences, offices, schools, and hospitals.

[0044] In summary, this system constructs an indoor pollutant spatial distribution map through a distributed multi-dimensional environmental perception module, and achieves graded targeted treatment of different toxic pollutants by combining it with an edge-end intelligent decision-making module, significantly improving pollutant treatment efficiency while reducing the system's ineffective energy consumption. The use of a core-shell structured magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material overcomes the limitation of traditional TiO2 photocatalysts that can only be excited by ultraviolet light, achieving efficient catalytic degradation even under indoor visible light conditions. Furthermore, targeted enrichment of the nanomaterial in areas with excessive pollutants is achieved through directional magnetic field control, solving the industry pain points of treatment blind spots and low degradation efficiency of low-concentration pollutants inherent in traditional fixed-load materials. The system also utilizes a full-spectrum adaptive excitation module and... The photocatalytic-low-temperature plasma synergistic technology further enhances the removal efficiency of recalcitrant long-chain VOCs and bioaerosols, achieving comprehensive treatment of all types of indoor air pollutants. The magnetocaloric effect triggered by a high-frequency alternating magnetic field enables low-temperature in-situ regeneration of nanocomposite materials, significantly extending their lifespan and reducing system maintenance costs. Simultaneously, a two-stage nano-interception and protection unit and an ozone decomposition unit completely eliminate the risk of secondary pollution from nanoparticle shedding and ozone exceeding standards, improving the system's long-term safety. The combination of edge-based local intelligent decision-making and cloud-based full-lifecycle operation and maintenance ensures stable system operation even during network outages and enables OTA remote upgrades of the system's governance algorithms and intelligent management throughout its entire lifecycle.

[0045] Although embodiments of the invention have been shown and described, the scope of the invention will be defined by the appended claims and their equivalents by those skilled in the art.

Claims

1. A nanomaterial-based intelligent indoor air purification system, characterized in that, It includes a distributed multi-dimensional environmental perception module, an edge intelligent decision-making module, a magnetic targeted photocatalytic treatment module, and a full-spectrum adaptive excitation module; The distributed multi-dimensional environmental sensing module is used to collect pollutant concentration data and light intensity data at various indoor locations, and generate and output an indoor pollutant spatial distribution map. The input end of the edge intelligent decision-making module is electrically connected to the output end of the distributed multi-dimensional environmental perception module, and is used to receive the spatial distribution map of pollutants and light intensity data, and generate targeted enrichment control instructions and light source power control instructions accordingly. The control terminal of the magnetic targeted photocatalytic remediation module is electrically connected to the output terminal of the edge intelligent decision-making module. The magnetic targeted photocatalytic remediation module adopts a core-shell structured magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material. The magnetic targeted photocatalytic treatment module is equipped with a fixed load layer and multiple sets of magnetically controlled targeted treatment branches corresponding to different functional areas in the room. Each magnetically controlled targeted treatment branch is equipped with an electromagnetic coil that is linked to the targeted enrichment and control command, which is used to enrich the nanocomposite material into the treatment branch corresponding to the area where the pollutants exceed the standard through directional magnetic field control. The control terminal of the full-spectrum adaptive excitation module is electrically connected to the output terminal of the edge intelligent decision module. The emission spectrum of the full-spectrum adaptive excitation module matches the visible light response band of the nanocomposite material, and is used to adjust the output power according to the light source power control command to provide a photocatalytic excitation source for the nanocomposite material.

2. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, The magnetic visible light responsive nano-Fe3O4@mesoporous SiO2@TiO2 composite material has superparamagnetic Fe3O4 nanoparticles as the core, mesoporous SiO2 as the middle layer, and nitrogen-silver co-doped anatase TiO2 as the outer shell. The particle size of the composite material is 50-80 nm, the mesopore size is 2-5 nm, and the visible light response band covers 400-500 nm.

3. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, The distributed multi-dimensional environmental perception module includes multiple sets of distributed wireless sensor nodes and a main controller. Each set of wireless sensor nodes integrates a pollutant detection unit, a light intensity sensor, and a human infrared sensor. The wireless sensor nodes are networked with the main controller through a wireless communication protocol. The main controller constructs an indoor pollutant concentration distribution heat map through a spatial interpolation algorithm.

4. The intelligent indoor air purification system using nanomaterials according to claim 3, characterized in that, The edge intelligent decision-making module has a built-in pollutant classification and treatment algorithm model, which is used to classify treatment levels according to the toxicity priority of pollutants and match corresponding treatment strategies. At the same time, it switches between manned and unmanned treatment modes according to the human activity data collected by human infrared sensors.

5. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, The full-spectrum adaptive excitation module is a full-spectrum adjustable LED light source array with emission peaks concentrated in the 400-500nm range. The edge intelligent decision module linearly adjusts the output power of the light source based on the collected indoor light intensity data. When the indoor light intensity is ≥500 lux, the power of the light source is reduced to less than 20% of the rated power.

6. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, It also includes a nanomaterial in-situ regeneration module electrically connected to the edge intelligent decision-making module. The nanomaterial in-situ regeneration module is equipped with a high-frequency alternating magnetic field generating unit. The high-frequency alternating magnetic field generating unit is used to generate an alternating magnetic field of 100-300kHz. Through the magnetocaloric effect, the Fe3O4@mesoporous SiO2@TiO2 nanocomposite material is heated to 110-130℃. In conjunction with the full-spectrum adaptive excitation module, the in-situ regeneration of the material adsorption sites and catalytic activity is realized.

7. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, It also includes a secondary pollution control module, which includes an H13 grade HEPA filter installed at the system air inlet and a nanoporous interception membrane installed at the system air outlet. The nanoporous interception membrane has a pore size ≤20nm and is used to intercept detached Fe3O4@mesoporous SiO2@TiO2 nanocomposite material particles.

8. The nanomaterial-based intelligent indoor air purification system according to claim 1, characterized in that, It also includes a low-temperature plasma generating unit electrically connected to the edge intelligent decision-making module. The low-temperature plasma generating unit is only activated in the unmanned governance mode and is used to generate active groups to form a synergistic degradation effect with nano-photocatalysis. An ozone decomposition unit is provided at the rear end of the low-temperature plasma generating unit.

9. The intelligent indoor air purification system using nanomaterials according to claim 1, characterized in that, It also includes a local human-computer interaction module, which is equipped with a touch screen and an offline voice recognition module to display system operation data and pollutant concentration data in real time, and supports local touch control and offline voice control.

10. The intelligent indoor air purification system using nanomaterials according to claim 1, characterized in that, It also includes a cloud-based full lifecycle operation and maintenance module, which is connected to the edge intelligent decision-making module through a wireless communication unit to realize remote monitoring, system firmware OTA upgrade, consumable life warning and multi-intelligent device collaborative linkage.

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