Local environment and air purification cooperative regulation and control system and method

By deploying a synergistic regulation system of porous matrix, shaped phase change material and nanocatalyst on the three-dimensional interface of mountainous cities, the problem of heat-pollution sink area management in mountainous cities has been solved, and efficient and precise environmental regulation and air purification have been achieved.

CN121846865APending Publication Date: 2026-04-14SHANGHAI INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Existing technologies are unable to accurately and synchronously block heat-pollution sink areas in mountainous cities, resulting in poor treatment effects and failing to effectively utilize three-dimensional space for coordinated intervention.

Method used

The core functional modules of a porous matrix, shaped phase change material and nanocatalyst are combined with a distributed sensing network and a central intelligent controller to achieve coordinated control of thermal energy regulation and pollutant purification. The active convection enhancement device forces air flow under calm conditions and uses a three-dimensional interface for precise intervention.

Benefits of technology

It has achieved efficient and precise management of heat and pollution sink areas in mountainous cities, breaking through the spatial utilization bottleneck of traditional technologies, improving intervention efficiency and economy, and ensuring stable operation of the system in all weather conditions over long periods.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a local environment and air purification coordinated regulation and control system and method. The system comprises a core function module, a distributed sensing network and a central intelligent controller. Wherein the core function module comprises a porous structure matrix, a heat energy intelligent regulation and control unit containing a shaped phase change material loaded in pores of the porous structure matrix, and a pollutant synergistic purification layer attached to the skeleton surface of the porous structure matrix and the inner walls of the pores; and the active convection enhancing device is integrated above the porous structure substrate or at an upstream position of airflow. Compared with the prior art, the method has the advantages that efficient and precise treatment of heat-pollution sink in mountainous cities is realized, and the like.
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Description

Technical Field

[0001] This invention relates to the field of environmental control technology, and in particular to a system and method for coordinated control of local environment and air purification. Background Technology

[0002] As global urbanization deepens, the urban heat island effect and combined air pollution have become prominent environmental problems restricting sustainable urban development and affecting public health. This challenge is particularly severe in mountainous cities with complex topography. Limited by unique terrain features such as valleys and basins, as well as high-density, three-dimensional building layouts, the local circulation field and pollutant diffusion conditions in mountainous cities differ significantly from those in plains cities. This makes them highly susceptible to the formation of heat-pollution risk clusters—"heat-pollution sinks"—where heat and pollutants accumulate continuously and are difficult to disperse. Under stable weather conditions, the intensity of the heat island and the concentration of pollutants abnormally overlap in these areas, creating high-risk zones for public health.

[0003] Currently, cooling and purification technologies applied to urban environmental management, such as increasing green spaces, spray systems, high-reflectivity paving, mobile fog cannons, and fixed air purification towers, are mostly based on application scenarios in plain cities and have the following three core shortcomings: 1. Insufficient Targeting of Spatial Intervention: Existing technologies generally follow a crude governance logic of "uniform distribution and broad coverage," lacking precise identification of the spatial heterogeneity of the "heat-pollution sink" in mountainous cities. They fail to target areas with high-frequency calm winds caused by terrain enclosure and building canyon effects, resulting in inefficient spatial allocation of intervention resources. This prevents effective empowerment of core areas with the highest concentration of health risks, leading to a diminishing return on investment in governance.

[0004] 2. Functional Specificity and Lack of Synergistic Governance: Existing technological systems are mostly decoupled designs with single functions, focusing either on temperature regulation or pollutant removal. However, numerous studies in the field of environmental health have clearly revealed that thermal stress and specific pollutants (such as ozone (O3) and fine particulate matter (PM2.5)) have significant synergistic health effects under stable environmental conditions. The combined exposure to these pollutants poses a far greater risk to the human respiratory and cardiovascular systems than a single factor. Existing technological solutions are functionally isolated, fundamentally neglecting the synergistic blocking and integrated removal of the core synergistic pathogenic mechanism of "heat-pollution."

[0005] 3. Inefficient utilization of three-dimensional space resources: Mountainous cities possess a large amount of undeveloped three-dimensional space, such as building gables, street facades, elevated road sidewalls, and slope revetments. These vertical interfaces are precisely the key physical boundaries for the formation and maintenance of "heat-pollution sinks." Existing technologies lack systematic and modular intervention methods for such three-dimensional spaces, mostly remaining at the two-dimensional plane. They fail to transform three-dimensional interfaces into effective media for actively improving the microenvironment, thus making it difficult to break the energy and material accumulation state of the "sink" area and fundamentally improve local circulation.

[0006] In summary, existing technologies, due to their functional fragmentation and limited spatial utilization, cannot effectively and synchronously block the synergistic aggregation effect of local "heat-pollution" through three-dimensional interfaces. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a local environment and air purification synergistic control system and method.

[0008] The objective of this invention can be achieved through the following technical solutions: According to one aspect of the present invention, a local environment and air purification coordinated control system is provided, the system comprising: a core functional module, a distributed sensing network and a central intelligent controller; The core functional modules are configured to be deployed in an array on the vertical building facades or side walls of transportation infrastructure in areas of high thermal and pollution risk in mountainous cities; The core functional modules include: A porous matrix with a three-dimensional interconnected micron-scale pore network inside; The thermal energy intelligent control unit includes a shaped phase change material loaded in the pores of a porous matrix. The shaped phase change material is configured to undergo a phase change to absorb heat when the ambient temperature reaches a preset threshold. A pollutant synergistic purification layer is attached to the framework surface and pore walls of a porous matrix. The pollutant synergistic purification layer includes nanocatalysts for catalytic decomposition of ozone and oxidation of particulate matter. An active convection enhancement device is integrated above a porous structure substrate or upstream of the airflow to generate a forced airflow through the surface and pores of the porous structure substrate when a control command is received. The distributed sensing network is used to collect micro-environmental parameters of the target area in real time and send these parameters to the central intelligent controller. The central intelligent controller establishes bidirectional signal connections with the distributed sensing network and the active convection enhancement device. The central intelligent controller generates control commands based on microenvironmental parameters and transmits the commands to the active convection enhancement device to control its operating status.

[0009] As a preferred technical solution, the porous matrix is ​​made of foamed ceramic or geopolymer, with a porosity of 75%-85% and an average pore size of 100-500 micrometers. The phase change temperature range of the shaped phase change material is 28℃ to 35℃. Specifically, the shaped phase change material is a paraffin-based or fatty acid-based phase change material that is filled into a porous matrix through a vacuum impregnation process.

[0010] As a preferred technical solution, the nanocatalyst in the pollutant synergistic purification layer includes at least one of δ-crystalline manganese dioxide and titanium dioxide-graphene composite material; The nanocatalysts are loaded onto a porous matrix via sol-gel or in-situ growth methods, with the loading amount being 1% to 3% of the mass of the porous matrix.

[0011] As a preferred technical solution, the active convection enhancement device includes a micro solar fan assembly; The micro solar fan assembly is equipped with a photosensitive control unit and an independent power supply circuit. The air outlet direction of the micro solar fan assembly is set at a preset tilt angle with the surface of the porous structure substrate to guide the airflow to cover the functional surface of the porous structure substrate.

[0012] As a preferred technical solution, the central intelligent controller has a built-in preset dynamic intervention threshold model, and the central intelligent controller is configured to execute the following control logic: Receive microenvironmental parameters from a distributed sensing network, including at least ambient temperature, wind speed, ozone concentration, and PM2.5 concentration; The microenvironment parameters are compared with the built-in preset dynamic intervention threshold model; when the monitored ambient temperature is higher than the preset temperature threshold and the wind speed is lower than the preset calm wind threshold, a control command is sent to the active convection enhancement device and its power is adjusted to the first level. When the monitored ozone or PM2.5 concentration is higher than the preset pollution threshold, a command is sent to the active convection enhancement device to maintain the first level of power or adjust its power to the second level until the microenvironment parameters fall back to the safe threshold range. The power of the first level is less than that of the second level.

[0013] As a preferred technical solution, the coordinated control system also includes an auxiliary spraying unit, which is connected to the central intelligent controller via signal. Furthermore, the central intelligent controller is configured to simultaneously control the auxiliary spray unit to turn on when issuing control commands to the active convection enhancement device, based on the ambient humidity parameters.

[0014] As a preferred technical solution, the deployment location of the core functional modules is determined based on geographic weighted regression model and multi-source remote sensing data analysis. The specific locations include: the vertical sidewalls of urban elevated roads, the west-facing gable walls of buildings, the slope protection of river valley sections, or the leeward facade of urban street valleys.

[0015] According to another aspect of the present invention, a method for synergistic regulation of local environment and air purification is provided, the method comprising the following steps: S1. Use spatial statistical analysis models to identify heat-pollution risk clusters in the city, define the spatial boundaries of these clusters, and install the core functional modules in an array on the three-dimensional interface within the area. S2. Real-time collection of local micro-environment data through a distributed sensing network, combined with external meteorological forecast data for multi-source information fusion; S3, the micro-environment parameters after multi-source information fusion by the central intelligent controller, determine whether the current environmental state meets the triggering conditions of superposition of calm and stable weather and high heat and high pollution; S4. When the triggering conditions are met, control the active convection enhancement device to guide the airflow through the core functional module, utilize the stylistized phase change material to absorb sensible heat and utilize nano-catalysts to degrade pollutants in the airflow. S5. Monitor the changes in microenvironmental parameters after intervention in real time, and dynamically adjust the operating power of the active convection enhancement device according to the rate of change of microenvironmental parameters until the microenvironmental parameters fall back to the safe threshold range, and then shut down the system.

[0016] As a preferred technical solution, in S1, identifying areas of thermal pollution risk concentration in the city specifically includes: Acquire historical health data, surface temperature remote sensing inversion data, and air pollutant concentration distribution data for urban areas; The spatial correlation between health risks and thermal environment and pollutants was analyzed using a geographically weighted regression model, and areas with correlation coefficients higher than the preset value were identified as areas with clustered thermal-pollution risks.

[0017] As a preferred technical solution, in S4, the absorption of sensible heat using a shaped phase change material specifically includes: During peak daytime ambient temperatures, the forced convection from the active convection enhancement device accelerates the endothermic process of the phase change material transitioning from solid to liquid, thereby reducing the module surface temperature. During the nighttime low temperatures, the operating power of the active convection enhancement device is reduced or the active convection enhancement device is turned off, relying solely on natural wind to assist the liquid phase change material in its transformation to a solid state and release heat, thus completing heat storage and regeneration.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention pioneers a composite material system integrating phase change temperature regulation and catalytic purification by constructing a core functional module comprising a porous matrix, phase change materials, and a catalyst, coupled with a sensing and control system. This design achieves intrinsic synergy between physical cooling and chemical purification at the source, saving materials and space. Furthermore, it utilizes a three-dimensional interface to directly and precisely block the localized "heat-pollution" synergistic aggregation effect, making the intervention more fundamental and efficient. This invention provides an innovative system and method that overcomes existing technological bottlenecks, integrating precise identification, targeted deployment, functional synergy, and three-dimensional intervention, achieving efficient and precise governance of "heat-pollution sinks" in mountainous cities.

[0019] 2. This invention addresses the pain point of poor ventilation in mountainous cities by integrating a micro solar fan unit as an active convection enhancement device. Combined with an intelligent control strategy, it overcomes the limitation of traditional technologies that rely entirely on natural weather conditions. This system can force airflow even under the most unfavorable weather conditions of calm winds, effectively disrupting the energy and material accumulation balance in the "heat-pollution sink" area. It achieves active reconstruction of the local microclimate, solving the core problem of passive ventilation technologies failing in calm wind zones of mountainous cities.

[0020] 3. This invention establishes an intelligent decision-making and precise governance system based on full-process data. By combining geographic weighted regression model identification with real-time perception of multi-source data, it constructs a data-driven closed-loop control logic. From precise spatial identification based on geographic weighted regression and remote sensing to intelligent control based on real-time sensing and predictive linkage, the system ensures that every intervention resource is accurately deployed to the spatiotemporal locations with the highest risk and greatest benefit, greatly improving the overall intervention efficiency, economy, and sustainability of the system, and promoting environmental governance from extensive to intensive methods.

[0021] 4. This invention possesses high modular flexibility and excellent spatial adaptability. By adopting an array-style deployment scheme, it can flexibly adapt to complex interfaces such as the side walls of urban elevated roads and building gables. This modular unit design endows the system with unparalleled flexibility, enabling it to adapt to various irregular three-dimensional facade terrains with large elevation differences. It is not only easy to install, maintain, and scale up, but also provides a solid and feasible technical path for constructing a three-dimensional intervention network covering key areas of large mountainous cities.

[0022] 5. This invention optimizes the microstructure and composition of the material. By limiting the matrix material to foamed ceramics or geopolymers with a porosity of 75%-85%, and combining it with phase change materials and highly efficient catalysts in specific temperature ranges, it significantly improves reaction efficiency and thermal management performance. This optimized microstructure not only provides a large reaction surface area but also ensures that the material is in its optimal activity range during the high temperatures and high ozone periods of urban summers. It can efficiently utilize environmental waste heat to drive the catalytic reaction, achieving high-efficiency conversion with low energy consumption.

[0023] 6. This invention employs a day-night differentiated operating logic and a hydrothermal synergy mechanism. By introducing an auxiliary spray unit and combining it with different control strategies for day and night, it solves the problem of thermal saturation failure that is common in traditional phase change materials. During the day, the system utilizes a dual cooling system of air cooling and evaporation to delay saturation, while at night, it utilizes natural temperature differences or active ventilation to regenerate and restore the material. This effectively overcomes the shortcomings of traditional passive materials, such as short single-use time and easy failure, ensuring stable operation of the system around the clock and over long periods. Attached Figure Description

[0024] Figure 1 This is a diagram illustrating the architecture of a local environment and air purification synergistic control system according to the present invention. Figure 2 This is a block diagram illustrating the overall structure and working principle of the system in the embodiment; Figure 3 This is a schematic diagram of the core functional modules in this invention. Figure 4 This is a schematic diagram illustrating the deployment of the system in a typical heat-pollution risk cluster area in a mountainous city, as shown in the embodiment. Figure 5 This is a flowchart illustrating the logic control of the central intelligent controller in this embodiment. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below 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 should fall within the scope of protection of the present invention.

[0026] The local environment and air purification synergistic control system and method in this scheme are not intended for large-scale air pollution control, but rather as a remedial engineering measure for high-risk sites in complex urban built-up areas. It utilizes a high specific surface area at the microscopic level to improve reaction efficiency, leverages active airflow circulation to overcome calm wind bottlenecks, and employs array-based deployment to improve local microclimates. Its practicality lies in solving the dilemma of traditional large-scale pollution control equipment being unable to enter narrow blocks, and the low efficiency of traditional passive materials.

[0027] This solution targets "heat-pollution sink" areas in mountainous cities, which are typically constrained by building geometry and have poor ventilation. These areas are typically semi-enclosed or semi-enclosed spaces with a diameter of 30m to 80m, such as spaces under overpasses, along congested intersections, or around tunnel entrances. This solution aims to address the accumulation of pollutants and the combined heat island effect within this specific spatial scale, rather than providing broad-area air pollution control.

[0028] Example 1 In this embodiment, a local environment and air purification coordinated control system is adopted, the system as follows: Figure 1 As shown, it includes core functional modules, a distributed sensing network, and a central intelligent controller; The core functional modules are configured to be deployed in an array on the vertical building facades or side walls of transportation infrastructure in areas of high thermal and pollution risk in mountainous cities; The core functional modules include: A porous matrix with a three-dimensional interconnected micron-scale pore network inside; The thermal energy intelligent control unit includes a shaped phase change material loaded in the pores of a porous matrix. The shaped phase change material is configured to undergo a phase change to absorb heat when the ambient temperature reaches a preset threshold. A pollutant synergistic purification layer is attached to the framework surface and pore walls of a porous matrix. The pollutant synergistic purification layer includes nanocatalysts for catalytic decomposition of ozone and oxidation of particulate matter. An active convection enhancement device is integrated above a porous structure substrate or upstream of the airflow to generate a forced airflow through the surface and pores of the porous structure substrate when a control command is received. The distributed sensing network is used to collect micro-environmental parameters of the target area in real time and send these parameters to the central intelligent controller. The central intelligent controller establishes bidirectional signal connections with the distributed sensing network and the active convection enhancement device. The central intelligent controller generates control commands based on microenvironmental parameters and transmits the commands to the active convection enhancement device to control its operating status.

[0029] The porous matrix is ​​made of foamed ceramic or geopolymer, with a porosity of 75%-85% and an average pore size of 100-500 micrometers. The phase change temperature range of the shaped phase change material is 28℃ to 35℃. Specifically, the shaped phase change material is a paraffin-based or fatty acid-based phase change material that is filled into a porous matrix through a vacuum impregnation process.

[0030] The nanocatalysts in the pollutant synergistic purification layer include at least one of δ-crystalline manganese dioxide and titanium dioxide-graphene composite materials; The nanocatalysts are loaded onto a porous matrix via sol-gel or in-situ growth methods, with the loading amount being 1% to 3% of the mass of the porous matrix.

[0031] Active convection enhancement devices include miniature solar fan arrays; The micro solar fan assembly is equipped with a photosensitive control unit and an independent power supply circuit. The air outlet direction of the micro solar fan assembly is set at a preset tilt angle with the surface of the porous structure substrate to guide the airflow to cover the functional surface of the porous structure substrate.

[0032] The central intelligent controller has a built-in preset dynamic intervention threshold model, and is configured to execute the following control logic: Receive microenvironmental parameters from a distributed sensing network, including at least ambient temperature, wind speed, ozone concentration, and PM2.5 concentration; The microenvironment parameters are compared with the built-in preset dynamic intervention threshold model; when the monitored ambient temperature is higher than the preset temperature threshold and the wind speed is lower than the preset calm wind threshold, a control command is sent to the active convection enhancement device and its power is adjusted to the first level. When the monitored ozone or PM2.5 concentration is higher than the preset pollution threshold, a command is sent to the active convection enhancement device to maintain the first level of power or adjust its power to the second level until the microenvironment parameters fall back to the safe threshold range. The power of the first level is less than that of the second level.

[0033] The coordinated control system also includes an auxiliary spraying unit, which is connected to the central intelligent controller via signal. Furthermore, the central intelligent controller is configured to simultaneously control the auxiliary spray unit to turn on when issuing control commands to the active convection enhancement device, based on the ambient humidity parameters.

[0034] The deployment locations of the core functional modules are determined based on geographic weighted regression models and multi-source remote sensing data analysis. The specific locations include: the vertical sidewalls of urban elevated roads, the west-facing gable walls of buildings, the slope protection of river valley sections, or the leeward facades of urban street valleys.

[0035] In this embodiment, the core functional module is the execution unit for three-dimensional intervention; it is the direct carrier for the system to exert its physical and chemical effects, and its core is the phase change temperature regulation-catalytic purification composite plate. This composite plate adopts a standardized, flexibly assembled modular unit design, ensuring the system's adaptability, scalability, and maintainability. This composite plate is a multi-layered functional structure, specifically: High-porosity structural matrix: Serving as the framework and carrier of the entire module, this matrix is ​​composed of inorganic materials such as foamed ceramics or geopolymers. It not only possesses excellent mechanical properties and durability, but also boasts a three-dimensional, uniformly distributed micron-scale pore network. This porous structure provides a large specific surface area and abundant interfaces for efficient thermal management, while also creating ideal conditions for sufficient contact between contaminants and the catalyst.

[0036] The intelligent thermal energy control unit uses a shaped phase change material as its core, which is stably loaded into the porous network of the structural matrix through processes such as vacuum impregnation or microencapsulation. The phase change temperature of this phase change material is precisely calculated and selected, enabling it to undergo a solid-liquid phase change during peak daytime ambient temperatures, absorbing and storing a large amount of sensible heat from the environment, thereby significantly reducing the module's surface temperature and directly alleviating thermal stress. At night, when the environment cools, a liquid-solid phase change occurs, slowly releasing the stored heat. This avoids excessive nighttime cooling that may occur with traditional cooling technologies, achieving intelligent "peak shaving and valley filling" control of the local thermal environment.

[0037] Synergistic Pollutant Purification Layer: A nano-catalytic layer is firmly constructed on the inner surface and framework structure of the matrix pores using processes such as sol-gel or in-situ growth. The main components of this catalytic layer are nanomaterials with highly efficient catalytic oxidation capabilities for ozone and fine particulate matter (such as highly active delta-crystalline manganese dioxide or visible light-responsive titanium dioxide-graphene composite materials). When air flows through it, gaseous pollutant O3 is catalytically decomposed into harmless oxygen, while PM2.5 particles are adsorbed and subsequently catalytically oxidized, achieving simultaneous and efficient removal of these two key pathogenic pollutants.

[0038] Active convection enhancement system: A micro solar fan assembly is integrated at the top of the composite panel unit or upstream of the airflow. The core function of this device is to automatically activate and utilize solar power when the system detects that the natural wind speed is below a preset calm wind threshold, actively guiding ambient air to flow in a forced and directional manner across the cooling and purification surfaces of the composite panel. This not only greatly enhances the heat exchange efficiency between the module and the surrounding environment, but also significantly improves the purification rate of pollutants, actively breaking down the accumulation of matter and energy in the "sink" area through forced convection.

[0039] Distributed sensing networks and central intelligent controllers are key to achieving precise, efficient, and adaptive intervention.

[0040] Distributed sensing networks act as the nervous system, endowing it with perceptual capabilities. These networks consist of micro-environment sensor arrays, integrated into core functional modules or strategically deployed within the target intervention area in a distributed layout. They constitute the system's senses, continuously and in real-time collecting the most critical local environmental parameters, forming the feedback basis for closed-loop control.

[0041] The central intelligent controller, acting as the system's brain, establishes a two-way signal connection with the sensing network and execution units (fans, drip irrigation, etc.). Its embedded control algorithms and decision-making models endow it with the following core intelligence: a. Multi-source information fusion: It can receive and integrate forecast data from external macro-environmental early warning systems (such as early warning platforms based on meteorological numerical forecasts and pollution source tracing models) to achieve a combination of macro-prediction and micro-measurement.

[0042] b. Intelligent decision-making: Based on the fused multi-source data stream, it performs real-time comparison and situation analysis with the built-in dynamic intervention threshold model to accurately determine the best time to start, enhance or shut down the intervention.

[0043] c. Precise Linkage Control: Based on the decision-making results, control commands are automatically generated and issued to dynamically adjust the start / stop, speed, and power level of the micro solar fans. Simultaneously, depending on the degree of drought, it can link with auxiliary drip irrigation or spray systems, such as vertical greening used for synergistic cooling, achieving precise control through proactive intervention and adaptive optimization to ensure the system always operates at its optimal state.

[0044] The ultimate intervention effectiveness of this system highly depends on a scientific spatial deployment strategy, which is a complete methodology, including: Precise Targeted Identification and Spatial Diagnosis: First, advanced spatial statistical analysis models such as geographic weighted regression are used to deeply explore the correlation between historical health and environmental data, identifying high-risk clusters of "heat-pollution" significantly associated with respiratory and cardiovascular disease mortality rates. Simultaneously, multispectral and thermal infrared remote sensing technologies are comprehensively utilized to retrieve parameters such as urban surface temperature and nitrogen oxide concentration, precisely pinpointing persistent high-temperature patches and pollution clusters within the city. Through spatial overlay and coupling analysis using a geographic information system, the spatial boundaries and risk levels of heat-pollution risk clusters in mountainous cities are ultimately precisely defined, providing a scientific basis for subsequent deployment.

[0045] Three-dimensional spatial configuration and interface optimization: Completely abandoning traditional two-dimensional thinking, core functional modules are concentrated and deployed at high density on key three-dimensional facades of identified mountainous urban areas with high thermal-pollution risk. These facades are critical interfaces for energy exchange and pollutant diffusion; preferred locations include: Building gables (to receive more solar radiation), vertical sidewalls of elevated roads and overpasses (areas where traffic pollution is directly emitted and accumulated), river valley or canyon road slopes and revetments (ventilation bottlenecks caused by topography), and vertical facades of urban street valleys (areas with significant canyon effects).

[0046] By occupying these key interfaces, the system can directly address the core of the problem.

[0047] Networked Node Construction and System Optimization: Strategic point-like deployment on the aforementioned key three-dimensional interfaces creates multiple powerful local intervention nodes. These nodes do not exist in isolation but interact and synergize within local areas through the cooling air masses and purified air they generate, collectively forming a three-dimensional intervention network covering the entire mountainous city's heat-pollution risk concentration area. This networked layout aims to directly and efficiently reduce the region's heat intensity and pollution concentration from both the source and pathway, achieving a shift from single-point treatment to systemic restoration.

[0048] Combination Figure 2 and Figure 3 The core functional module of this solution—the phase change temperature regulation-catalytic purification composite plate—has the following specific structure and preparation method: Preparation of high-porosity structural matrices: The material selected is foamed ceramic with high porosity, high strength, and good weather resistance. Its main component is aluminosilicate, and the foaming agent can be silicon carbide, etc.

[0049] The porosity of the foamed ceramic matrix is ​​controlled between 75% and 85%, with an average pore size preferably ranging from 100 to 500 micrometers. This pore structure ensures sufficient PCM loading while maintaining good capillary forces to fix the PCM, and provides ample specific surface area for air circulation and catalytic reactions. The matrix is ​​ultimately fabricated into modular plates of standard dimensions (e.g., 600 mm × 300 mm × 50 mm) for easy transportation and installation.

[0050] Loading of shaped phase change materials: The material selected is a composite shaped phase change material with a phase change temperature in the range of 28℃ to 35℃. Paraffin (e.g., octadecane) is used as the phase change energy storage medium, and high-density polyethylene or expanded graphite is used as the supporting skeleton material. A solid-solid phase change stable shaped PCM is prepared by melt blending.

[0051] The loading process employs a vacuum impregnation method. The prepared foamed ceramic matrix is ​​placed in a sealed container and a vacuum is drawn to remove air from the pores. It is then impregnated in molten PCM for a sufficient time (e.g., 2-4 hours), using a pressure difference to allow the PCM to fully penetrate and fill the open pores of the matrix. After completion, it is removed, cooled, and any residual PCM on the surface is wiped away, yielding the shaped phase change material composite matrix.

[0052] Construction of the nanocatalytic layer: The catalyst selected is a manganese dioxide-based catalyst with high ozone decomposition activity and visible light photocatalytic performance. Specifically, a δ-crystalline MnO2 with a porous nanosheet structure can be synthesized using a hydrothermal method.

[0053] The catalyst loading was achieved using a sol-gel impregnation coating method. First, the prepared MnO2 nanopowder was dispersed in a mixed solution of deionized water and ethanol to form a stable catalytic slurry. Then, the PCM-loaded substrate was immersed in this slurry, and multiple dip-and-pick processes were used to ensure uniform adhesion of the slurry to the inner walls of the substrate pores. Finally, heat treatment at 150°C to 300°C was performed to solidify the catalyst, firmly anchoring it to the substrate surface. The catalyst loading (based on Mn elemental content) is preferably 1% to 3% of the substrate mass.

[0054] Enhanced integration of convection devices: Micro solar fans are integrated into the upper edge of the composite panel unit via pre-embedded slots or waterproof adhesive.

[0055] This fan uses a DC brushless motor with a rated voltage of 5V and a power range of 2-5W. Its built-in photosensitive control unit enables the fan to automatically start when the light intensity reaches a certain threshold (e.g., greater than 200 Lux), and its final operation is determined by the intelligent control module. The fan's airflow direction is designed to be tilted downwards at a certain angle to the surface of the composite panel, so as to guide the airflow to sweep across the functional surface with the maximum area.

[0056] Example 2 In this embodiment, a method for synergistic regulation of local environment and air purification is adopted, and the method steps include: S1. Use spatial statistical analysis models to identify heat-pollution risk clusters in the city, define the spatial boundaries of these clusters, and install the core functional modules in an array on the three-dimensional interface within the area. S2. Real-time collection of local micro-environment data through a distributed sensing network, combined with external meteorological forecast data for multi-source information fusion; S3, the micro-environment parameters after multi-source information fusion by the central intelligent controller, determine whether the current environmental state meets the triggering conditions of superposition of calm and stable weather and high heat and high pollution; S4. When the triggering conditions are met, control the active convection enhancement device to guide the airflow through the core functional module, utilize the stylistized phase change material to absorb sensible heat and utilize nano-catalysts to degrade pollutants in the airflow. S5. Monitor the changes in microenvironmental parameters after intervention in real time, and dynamically adjust the operating power of the active convection enhancement device according to the rate of change of microenvironmental parameters until the microenvironmental parameters fall back to the safe threshold range, and then shut down the system.

[0057] In S1, identifying areas of high thermal pollution risk in cities specifically includes: Acquire historical health data, surface temperature remote sensing inversion data, and air pollutant concentration distribution data for urban areas; The spatial correlation between health risks and thermal environment and pollutants was analyzed using a geographically weighted regression model, and areas with correlation coefficients higher than the preset value were identified as areas with clustered thermal-pollution risks.

[0058] In S4, the absorption of sensible heat using a shaped phase change material specifically includes: During peak daytime ambient temperatures, the forced convection from the active convection enhancement device accelerates the endothermic process of the phase change material transitioning from solid to liquid, thereby reducing the module surface temperature. During the nighttime low temperatures, the operating power of the active convection enhancement device is reduced or the active convection enhancement device is turned off, relying solely on natural wind to assist the liquid phase change material in its transformation to a solid state and release heat, thus completing heat storage and regeneration.

[0059] System integration, deployment, and intelligent operation Figure 4 and Figure 5 , Figure 4 The diagram shows the integrated deployment of this system on the gable walls of buildings facing the street and on elevated roads. In this embodiment, a typical mountainous city heat-pollution risk concentration area—a river valley block—is used as an example to describe the complete application process of this system.

[0060] The system deployment was based on a precise and targeted deployment method. Through geographic weighted regression model and remote sensing analysis, the valley area was identified as a mountainous urban heat-pollution risk cluster area with severe O3 and PM2.5 pollution and significantly higher afternoon temperatures in summer than the urban average.

[0061] like Figure 4 As shown, a total of 100 core functional modules, prepared as in Example 1, are densely installed in a matrix on the key three-dimensional facades of the area. Of these, 60 modules are installed on the gable walls of buildings facing the street that are exposed to severe western sun, and 40 modules are installed on the concrete sidewalls of the elevated bridge that runs through the block. All modules are connected to a central controller deployed at the center of the area via pre-embedded wiring.

[0062] Intelligent operation and intervention process: Forward warning activated: At 14:00 on a summer day, the central controller received forecast data from the external urban environmental early warning system via the 4G / 5G network: It is predicted that the next afternoon (13:00-16:00) will see extreme high temperatures (>37℃) and calm winds (wind speed <0.5m / s), and the O3 concentration may exceed the standard.

[0063] Real-time monitoring and decision-making: At 12:30 the following day, the micro-environment sensor array deployed within the block transmitted real-time data: the temperature had reached 34.5℃, the wind speed had dropped to 0.8m / s, and the O3 concentration showed a rapid upward trend. The algorithm model built into the central controller compared the real-time data with preset thresholds (temperature threshold: 35℃, wind speed threshold: 0.5m / s, O3 concentration threshold: 160μg / m³). 3 ) for comparison.

[0064] Execute precise intervention: At 13:00, when the real-time temperature exceeds 35℃ and the wind speed is below 0.5m / s, the controller immediately generates a control command: a. Initiate Enhanced Convection: Commands are issued to all core functional modules to activate their integrated micro-solar fans. Given the severe weather conditions, the controller commands all fans to operate at maximum power, forcibly guiding airflow within the street canyon through the cooling-purifying surface.

[0065] b. Enhanced Synergistic Cooling: Simultaneously, the controller activates the drip irrigation system set up for some vertical greening on the walls, which assists in synergistic cooling through water evaporation, further improving local comfort.

[0066] Continuous optimization and shutdown: The system continues to run, monitoring environmental parameters in real time. By 16:30, sensor data showed the temperature had dropped to 32℃, wind speed had recovered to 1.2m / s, and O3 concentration had decreased to 100μg / m³. 3 The central controller then issues a command to switch the fan power to standby mode and shut down the drip irrigation system. This completes one closed-loop intervention process.

[0067] As can be seen from the above implementation methods, this solution, through the close integration of hardware construction, system integration and intelligent algorithms, has successfully achieved efficient three-dimensional, precise, proactive and coordinated intervention in areas with high thermal pollution risk in mountainous cities.

[0068] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A local environment and air purification synergistic control system, characterized in that, The system includes: core functional modules, a distributed sensing network, and a central intelligent controller; The core functional modules are configured to be deployed in an array on the vertical building facades or side walls of transportation infrastructure in areas of high thermal pollution risk in mountainous cities. The core functional modules include: A porous matrix with a three-dimensional interconnected micron-scale pore network inside; A thermal energy intelligent control unit includes a shaped phase change material loaded in the pores of a porous matrix, wherein the shaped phase change material is configured to undergo a phase change to absorb heat when the ambient temperature reaches a preset threshold. A pollutant synergistic purification layer is attached to the framework surface and pore walls of a porous matrix. The pollutant synergistic purification layer includes nanocatalysts for catalytic decomposition of ozone and oxidation of particulate matter. An active convection enhancement device is integrated above a porous structure substrate or upstream of the airflow to generate a forced airflow through the surface and pores of the porous structure substrate when a control command is received. The distributed sensing network is used to collect micro-environmental parameters of the target area in real time and send these parameters to the central intelligent controller. The central intelligent controller establishes bidirectional signal connections with the distributed sensing network and the active convection enhancement device. The central intelligent controller generates control commands based on microenvironmental parameters and transmits the commands to the active convection enhancement device to control its operating status.

2. The local environment and air purification synergistic control system according to claim 1, characterized in that, The porous matrix is ​​made of foamed ceramic or geopolymer, with a porosity of 75%-85% and an average pore size of 100-500 micrometers. The phase change temperature range of the shaped phase change material is 28°C to 35°C. Specifically, the shaped phase change material is a paraffin-based or fatty acid-based phase change material that is filled into the porous matrix through a vacuum impregnation process.

3. The local environment and air purification coordinated control system according to claim 1, characterized in that, The nanocatalyst in the pollutant synergistic purification layer includes at least one of δ-crystalline manganese dioxide and titanium dioxide-graphene composite material; The nanocatalyst is loaded onto a porous matrix by a sol-gel method or an in-situ growth method, with the loading amount being 1% to 3% of the mass of the porous matrix.

4. The local environment and air purification synergistic control system according to claim 1, characterized in that, The active convection enhancement device includes a miniature solar fan assembly; The micro solar fan assembly is equipped with a photosensitive control unit and an independent power supply circuit. The air outlet direction of the micro solar fan assembly is set at a preset tilt angle with the surface of the porous structure substrate to guide the airflow to cover the functional surface of the porous structure substrate.

5. The local environment and air purification synergistic control system according to claim 1, characterized in that, The central intelligent controller has a built-in preset dynamic intervention threshold model, and is configured to execute the following control logic: Receive microenvironmental parameters from a distributed sensing network, the microenvironmental parameters including at least ambient temperature, wind speed, ozone concentration, and PM2.5 concentration; The microenvironment parameters are compared with the built-in preset dynamic intervention threshold model; when the monitored ambient temperature is higher than the preset temperature threshold and the wind speed is lower than the preset calm wind threshold, a control command is sent to the active convection enhancement device and its power is adjusted to the first level. When the monitored ozone concentration or PM2.5 concentration is higher than the preset pollution threshold, a command is sent to the active convection enhancement device to maintain the first level power or adjust its power to the second level until the microenvironment parameters fall back to the safe threshold range. The power of the first level is less than that of the second level.

6. The local environment and air purification coordinated control system according to claim 5, characterized in that, The coordinated control system also includes an auxiliary spraying unit, which is signal-connected to the central intelligent controller; Furthermore, the central intelligent controller is configured to simultaneously control the auxiliary spray unit to turn on when issuing control commands to the active convection enhancement device, based on the ambient humidity parameters.

7. The local environment and air purification synergistic control system according to claim 1, characterized in that, The deployment locations of the core functional modules are determined based on geographic weighted regression models and multi-source remote sensing data analysis. Specifically, these locations include: the vertical sidewalls of urban elevated roads, the west-facing gable walls of buildings, the slope protection of river valley sections, or the leeward facades of urban street valleys.

8. A method for synergistic regulation of local environment and air purification, characterized in that, The method employs a local environment and air purification coordinated control system as described in any one of claims 1-7, and the method steps include: S1. Use spatial statistical analysis models to identify heat-pollution risk clusters in the city, define the spatial boundaries of these clusters, and install the core functional modules in an array on the three-dimensional interface within the area. S2. Real-time collection of local micro-environment data through a distributed sensing network, combined with external meteorological forecast data for multi-source information fusion; S3. The micro-environment parameters after multi-source information fusion by the central intelligent controller determine whether the current environmental state meets the triggering conditions of superposition of calm and stable weather and high heat and high pollution. S4. When the triggering condition is met, control the active convection enhancement device to guide the airflow through the core functional module, utilize the shaped phase change material to absorb sensible heat and utilize the nano-catalyst to degrade pollutants in the airflow. S5. Monitor the changes in microenvironmental parameters after intervention in real time, and dynamically adjust the operating power of the active convection enhancement device according to the rate of change of microenvironmental parameters until the microenvironmental parameters fall back to the safe threshold range, and then shut down the system.

9. The method for synergistic regulation of local environment and air purification according to claim 8, characterized in that, In step S1, identifying areas of high thermal pollution risk in the city specifically includes: Acquire historical health data, surface temperature remote sensing inversion data, and air pollutant concentration distribution data for urban areas; The spatial correlation between health risks and thermal environment and pollutants was analyzed using a geographically weighted regression model, and areas with correlation coefficients higher than preset values ​​were identified as the heat-pollution risk cluster areas.

10. The method for synergistic regulation of local environment and air purification according to claim 8, characterized in that, In step S4, the absorption of sensible heat using a shaped phase change material specifically includes: During peak daytime ambient temperatures, the forced convection from the active convection enhancement device accelerates the endothermic process of the phase change material transitioning from solid to liquid, thereby reducing the module surface temperature. During the nighttime low temperatures, the operating power of the active convection enhancement device is reduced or the active convection enhancement device is turned off, relying solely on natural wind to assist the liquid phase change material in its transformation to a solid state and release heat, thus completing heat storage and regeneration.