Low-carbon intelligent fog forest control system

Abstract

The invention belongs to the field of environmental engineering, and particularly relates to a low-carbon intelligent fog and forest control system which comprises a three-dimensional space atomization module, a light and shadow cooperative control module, an intelligent management module, an energy module, a safety monitoring module, a self-cleaning module, an environment sensing module, a deployment and linkage module and a voice interaction module. The three-dimensional space atomization module is composed of a honeycomb type nozzle array, a high-pressure water pump and a water supply pipeline, and mist can be evenly distributed in the three-dimensional space by adjusting the mist amount in the vertical direction and the mist amount in the horizontal direction to adapt to the three-dimensional layout of the urban ash space. According to the three-dimensional space atomization module of the low-carbon intelligent fog forest control system, vertical and horizontal spaces of a city can be fully utilized, particularly, the urban grey space is effectively transformed, and the urban landscape effect and the ecological function are improved. After the system is arranged below the urban viaduct, the coverage rate of green plants in the space below the viaduct is increased, the visual effect of a city is improved, and a more comfortable living environment is provided for citizens.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental engineering, and specifically to a low-carbon intelligent fog forest control system. Background Art

[0002] With the acceleration of the urbanization process, the landscape value and ecological functions of grey spaces such as viaducts and aerial corridors have been increasingly emphasized. Traditional fog forest systems have gradually been applied to urban cooling, dust reduction, and landscape creation, but their technological development is evolving towards three-dimensional, intelligent, and low-carbon directions.

[0003] Currently, in urban landscape applications, traditional fog forest systems are difficult to make full use of the vertical space of the city, with insufficient coverage of areas such as under viaducts and building facades, resulting in limited landscape effects and ecological functions. In view of this, we propose a low-carbon intelligent fog forest control system. Summary of the Invention

[0004] The main objective of the present invention is to provide a low-carbon intelligent fog forest control system that can solve the problems raised in the above background art.

[0005] To achieve the above objective, the low-carbon intelligent fog forest control system proposed by the present invention includes: A three-dimensional space atomization module, composed of a honeycomb nozzle array, a high-pressure water pump, and a water supply pipeline, which adjusts the fog volume in the vertical and horizontal directions to adapt to the three-dimensional layout of the urban grey space; A light and shadow collaborative control module, composed of an RGBW four-color LED light strip, a timing controller, and a programming interface, which generates a programmable light and shadow fog curtain; An intelligent management module, composed of an AI algorithm processor, a remote communication unit, and a data storage unit, which is used to optimize the spraying strategy and multi-terminal control; An energy module, composed of a solar photovoltaic panel, a storage battery, a rainwater collection tank, and an ultraviolet disinfection device, which realizes zero-carbon operation; A safety monitoring module, composed of a binocular camera, a millimeter-wave radar, and an AI behavior recognition unit, which real-time detects pedestrian dynamics and fog concentration; A self-cleaning module, composed of an electromagnetic pulse generator, a magnetic coupler, and a sewage discharge valve, which is used to remove nozzle scale; An environment perception module, composed of a temperature and humidity sensor, a PM2.5 sensor, a wind speed sensor, and a light sensor, with a data sampling frequency ≥ 10Hz; A deployment and linkage module, composed of a prefabricated bracket, a wireless sensor network, and an external interface, which supports rapid installation and multi-system collaborative control; A voice interaction module, composed of a voice recognition engine, an instruction library, and a response unit, which supports natural language control and multi-dialect interaction.

[0006] Preferably, the three-dimensional space atomization module includes a honeycomb nozzle array, a high-pressure water pump, and a water supply pipeline. The vertical spacing of the honeycomb nozzle array is 50 cm ± 5%, and the horizontal spacing is 40 cm ± 5%. The nozzles are made of 316L stainless steel, and the surface is laser engraved with flow guiding patterns (pattern depth 0.1 - 0.3 mm, spacing 0.5 - 1 mm). The working pressure of the high-pressure water pump is 4.5 - 6 MPa, and the atomization particle diameter is adjustable from 1 to 20 μm. The water supply pipeline is connected to the urban pipeline. Such parameter design ensures the uniformity and stability of spraying. The 316L stainless steel material guarantees the durability of the nozzles. The laser engraved flow guiding patterns can further improve the atomization effect, making the fog droplets smaller and more evenly distributed in the air, enhancing functions such as dust reduction and humidification.

[0007] Preferably, the light and shadow collaborative control module includes an RGBW four-color LED light strip, a timing controller, and a programming interface. The RGBW four-color LED light strip supports adjustable color temperature from 2700 to 6500K, brightness ≥ 1000 lumens, and protection level IP65. The timing controller is responsible for controlling the synchronization of the light color and the fog injection rhythm, with a response delay ≤ 0.1 second; the programming interface supports users to customize light and shadow modes (such as "dawn" and "aurora") and store them in the data storage unit. The high-brightness and adjustable color temperature LED light strip combined with the fast-response timing controller can achieve a rich variety of light and shadow effects.

[0008] Preferably, the energy module includes a solar photovoltaic panel, a energy storage battery, and a rainwater collection tank. The conversion efficiency of the solar photovoltaic panel is ≥ 22%, the tilt angle is adaptively adjusted from 15° to 35°, and the maximum power point tracking (MPPT) accuracy is ≥ 99%. The energy storage battery has a capacity ≥ 10 kWh, a charge and discharge efficiency ≥ 95%, and a cycle life ≥ 5000 times. The capacity of the rainwater collection tank is ≥ 2 m³, equipped with a 50 μm precision filter and an ultraviolet disinfection device, and the water quality meets the GB / T 18920 - 2020 standard. The high-conversion-efficiency solar photovoltaic panel and the high-efficiency energy storage battery ensure the stable supply of energy. The adaptively adjusted tilt angle and the high-precision MPPT algorithm can maximize the utilization of solar energy.

[0009] Preferably, the safety monitoring module includes an AI behavior recognition unit, a millimeter-wave radar, and a linkage control logic unit. The AI ​​behavior recognition unit is based on the ResNet-50 model, and the pedestrian posture detection accuracy is ≥98%. The training data set contains 100,000 images of falling scenes. The detection distance of the millimeter-wave radar is 0.5-30m, the resolution is ≤0.5m, and the operating frequency is 24GHz. When the visibility is <15m or a pedestrian falls, the linkage control logic unit automatically turns off the spray within a radius of 5m and triggers an audible and visual alarm. The AI ​​behavior recognition unit based on the advanced model and the high-precision millimeter-wave radar ensure accurate monitoring of pedestrian dynamics.

[0010] Preferably, the self-cleaning module includes a magnetic pulse generator, a magnetic coupler, and a drain valve. The frequency of the electromagnetic pulse generator is 1-5kHz, the peak power is ≤50W, and the single cleaning time is ≤3 minutes. The magnetic coupler is non-contact connected to the nozzle, the protection level is IP68, and the water hardness tolerance is ≥400mg / L. The drain valve is responsible for automatically opening when the scale residue is ≥0.1mg / L, and the drain efficiency is ≥90%. The low-power, high-frequency electromagnetic pulse generator cooperates with the high-efficiency drain valve to achieve efficient cleaning of the nozzle.

[0011] Preferably, the environmental perception module includes a temperature and humidity sensor, a PM2.5 sensor, and a data preprocessing algorithm unit. The temperature and humidity sensor has a range of -20°C to 60°C, an accuracy of ±0.5°C, and a response time of ≤1 second. The PM2.5 sensor has a range of 0-1000μg / m³ and a resolution of 1μg / m³, which complies with the HJ 93-2013 standard. The data preprocessing algorithm uses Kalman filtering to eliminate noise, and the data validity is ≥99%. The high-precision, fast-response sensors and advanced data preprocessing algorithms ensure the accuracy and reliability of environmental data.

[0012] Preferably, the deployment and linkage module includes a pre-installed bracket, a wireless sensor network, and an external interface. The pre-installed bracket is made of 6061-T6 aluminum alloy, modularly assembled, and the installation time is ≤2 hours. The wireless sensor network supports the LoRa / Wi-Fi 6 dual-mode protocol, the networking delay is ≤50ms, and the coverage radius is ≥100m. The external interface is linked with the municipal sprinkler system and traffic lights. The trigger conditions include PM2.5>200μg / m³ or visibility<10m. The lightweight and high-strength aluminum alloy pre-installed bracket is easy to install and disassemble, and the dual-mode protocol wireless sensor network ensures the stability and efficiency of communication. The linkage function with the external system enhances the practicality and intelligence of the system.

[0013] Preferably, the intelligent management module includes an AI algorithm processor, a remote communication unit, and digital twin modeling. The AI algorithm processor uses NVIDIA Jetson Xavier with a computing power of ≥30 TOPS and supports TensorRT acceleration. The remote communication unit has a transmission rate of ≥1 Gbps, supports the MQTT / CoAP protocol, and has an encryption level of AES-256. The digital twin modeling generates a three-dimensional visualization interface based on the Unity3D engine to display the fog coverage area and device status in real time. The powerful AI algorithm processor and high-speed remote communication unit ensure the intelligent decision-making and remote control capabilities of the system.

[0014] Preferably, the voice interaction module includes a voice recognition engine, an instruction library, and a response unit. The voice recognition engine integrates iFlytek voice technology, supports Mandarin and 6 dialects (such as Cantonese, Sichuan dialect, etc.), and has a recognition accuracy of ≥95%. The instruction library contains natural language instructions such as "turn on the strong light mode" and "adjust the fog concentration". The response time from voice input to system execution of the response unit is ≤0.8 seconds, and it supports sound and light feedback. The high-accuracy voice recognition engine and rich instruction library make user operations more convenient. The fast response time and sound and light feedback function enhance the user's operation experience and make the control of the fog forest system more user-friendly.

[0015] The present invention provides a low-carbon intelligent fog forest control system, which has the following beneficial effects: (1) The three-dimensional space atomization module of the low-carbon intelligent fog forest control system can make full use of the vertical and horizontal spaces of the city, especially effectively transform the gray spaces in the city, and improve the urban landscape effect and ecological function. After setting up this system under the urban viaduct, the green plant coverage rate of the space under the viaduct is increased, the visual effect of the city is improved, and a more comfortable living environment is provided for citizens.

[0016] (2) The energy module of the low-carbon intelligent fog forest control system realizes the effective utilization of solar energy and rainwater, reduces the dependence on traditional energy sources, and reduces carbon emissions and water resource consumption. Compared with the traditional fog forest system, the system of the present invention reduces energy consumption by about 60%, effectively promoting the sustainable development of the city.

[0017] (3) The intelligent management module, voice interaction module of the low-carbon intelligent fog forest control system, and the collaborative work between modules realize the intelligent control and convenient operation of the system. Users can easily control the fog forest system through voice commands, and the system can automatically adjust the working state according to environmental changes, improving the user experience and management efficiency. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0019] Figure 1 This is the overall system block diagram of the present invention; Figure 2 This is a partial process of the present invention Figure 1 ; Figure 3 This is a partial process of the present invention Figure 2 ; Figure 4 This is a partial process of the present invention Figure 3 ; Figure 5 This is a partial process of the present invention Figure 4 ; Figure 6 This is a partial process of the present invention Figure 5 ; Figure 7 This is a partial process of the present invention Figure 6 ; Figure 8 This is a partial process of the present invention Figure 7 。

[0020] The realization of the objectives, functional features, and advantages of the present invention will be further described with reference to the embodiments and the accompanying drawings. Specific embodiments

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0022] Please refer to Figures 1 - 8, the present invention provides a low-carbon intelligent fog forest control system, including a three-dimensional space atomization module, a light and shadow collaborative control module, an intelligent management module, an energy module, a safety monitoring module, a self-cleaning module, an environmental perception module, a deployment and linkage module, and a voice interaction module. The three-dimensional space atomization module consists of a honeycomb nozzle array, a high-pressure water pump, and a water supply pipeline. By adjusting the fog volume in the vertical and horizontal directions, it adapts to the three-dimensional layout of the urban gray space. The unique design of the honeycomb nozzle array enables the fog to be evenly distributed in the three-dimensional space. Compared with the traditional linearly arranged nozzles, the coverage area is increased by 40%. In the application scenario under the urban viaduct, it can effectively improve the dry and dusty environment under the bridge, provide a suitable humidity environment for the greening plants under the bridge, and promote plant growth. The light and shadow collaborative control module consists of an RGBW four-color LED light strip, a timing controller, and a programming interface, generating a programmable light and shadow fog curtain. This module can customize the light and shadow effects according to different scenarios and requirements, such as festival celebrations, daily landscape creation, etc. In tourist attractions, by setting up a dynamic light and shadow fog curtain and coordinating with music, an immersive landscape experience can be created, attracting tourists to stop, extending the tourist stay time, and enhancing the attractiveness and economic benefits of the scenic area.

[0023] The intelligent management module consists of an AI algorithm processor, a remote communication unit, and a data storage unit, and is used to optimize the spraying strategy and multi-terminal control. By using AI algorithms to deeply analyze environmental data, it can automatically adjust the spraying strategy according to different time periods and weather conditions, achieving precise spraying. For example, it increases the spraying volume during high-temperature periods and automatically reduces or stops spraying during rainy days, effectively saving water resources. At the same time, it supports remote control of multiple terminals such as mobile phones and computers, facilitating managers to monitor and manage the system operation anytime and anywhere. The energy module consists of solar photovoltaic panels, energy storage batteries, rainwater collection tanks, and ultraviolet disinfection devices, achieving zero-carbon operation. The solar photovoltaic panels convert solar energy into electricity to power the system, and the energy storage batteries store excess electricity to ensure the normal operation of the system at night or on cloudy days. The rainwater collected by the rainwater collection tank is used for spraying after being disinfected by ultraviolet rays, improving the utilization efficiency of water resources. Taking the application in a certain urban park as an example, this energy module can reduce carbon emissions by about 30 tons and save about 500 cubic meters of municipal water per year. The safety monitoring module consists of a binocular camera, a millimeter-wave radar, and an AI behavior recognition unit, which can detect the dynamics of pedestrians and the fog concentration in real time. Through the binocular camera and the millimeter-wave radar, it can accurately identify the position and movement trajectory of pedestrians, and the AI behavior recognition unit can judge abnormal behaviors such as whether pedestrians fall or run. When an abnormality is detected, the system automatically adjusts the spraying state to avoid the impact of the fog on pedestrians and ensure pedestrian safety. In crowded public places such as squares and park entrances, this module can effectively prevent safety accidents caused by fog. The self-cleaning module consists of an electromagnetic pulse generator, a magnetic coupler, and a sewage discharge valve, and is used to remove scale from the nozzles. The electromagnetic pulse generator periodically emits pulses, and the energy is transmitted through the magnetic coupler to loosen the scale inside the nozzles, and the sewage discharge valve discharges the dirt in time. This self-cleaning method greatly reduces the frequency and cost of manual maintenance, improving the stability and reliability of the system. In areas with relatively hard water quality, the self-cleaning module can extend the maintenance cycle of the nozzles from once a month to once a quarter.

[0024] In an embodiment of the present invention, the environmental perception module is composed of a temperature and humidity sensor, a PM2.5 sensor, a wind speed sensor and a light sensor, and the data sampling frequency is ≥10Hz. Multiple sensors work together to monitor environmental parameters in real time and accurately, and provide comprehensive data support for the intelligent management module. For example, when the PM2.5 sensor detects that the air quality has dropped, the intelligent management module automatically increases the spray volume to reduce dust and purify the air; the light sensor can automatically adjust the brightness of the light and shadow collaborative control module according to the light intensity to achieve energy saving. The deployment and linkage module is composed of a pre-installed bracket, a wireless sensor network and an external interface, which supports rapid installation and multi-system collaborative control. The pre-installed bracket adopts a modular design, which is easy to install and can complete system deployment in a short time. The wireless sensor network realizes efficient communication between devices, and the external interface can be linked with other urban infrastructure such as municipal sprinkler systems and traffic lights. On urban roads, when traffic lights detect congestion, the fog forest system can be linked to increase spray to reduce the pollution of vehicle exhaust to the environment. The voice interaction module consists of a voice recognition engine, a command library, and a response unit. It supports natural language control and multi-dialect interaction, making it convenient for users in different regions and age groups to operate, and improving the usability of the system. For example, the elderly can issue commands in dialect to control the switch of the Mist Forest system, adjust the fog concentration, etc., without complicated operation steps, which improves the user experience.

[0025] Furthermore, the three-dimensional space atomization module includes a honeycomb nozzle array, a high-pressure water pump, and a water supply pipe. The vertical spacing of the honeycomb nozzle array is 50cm±5%, and the horizontal spacing is 40cm±5%. The nozzle is made of 316L stainless steel, and the surface is laser-engraved with guide patterns (pattern depth 0.1-0.3mm, spacing 0.5-1mm). The working pressure of the high-pressure water pump is 4.5-6MPa, and the diameter of the atomized particles is adjustable from 1-20μm. The water supply pipe is connected to the city pipe. Such parameter design ensures the uniformity and stability of the spray. The 316L stainless steel material ensures the durability of the nozzle. The laser-engraved guide patterns can further improve the atomization effect, making the droplets smaller and more evenly distributed in the air, enhancing the dust reduction, humidification and other functions.

[0026] Furthermore, the light and shadow collaborative control module includes an RGBW four-color LED light strip, a timing controller, and a programming interface. The RGBW four-color LED light strip supports adjustable color temperature from 2700K to 6500K, brightness ≥ 1000 lumens, and protection level IP65. The timing controller is responsible for controlling the synchronization of the light color and the fog spraying rhythm, with a response delay ≤ 0.1 second. The programming interface supports users to customize light and shadow modes (such as "dawn" and "aurora") and store them in the data storage unit. The high-brightness and adjustable-color-temperature LED light strip combined with the fast-response timing controller can achieve a rich variety of light and shadow effects. The user-defined function meets the personalized needs in different scenarios. For example, in commercial activities, a unique light and shadow fog curtain can be customized according to the activity theme to enhance the activity atmosphere.

[0027] Furthermore, the energy module includes a solar photovoltaic panel, a energy storage battery, and a rainwater collection tank. The conversion efficiency of the solar photovoltaic panel ≥ 22%, the tilt angle is adaptively adjustable from 15° to 35°, and the maximum power point tracking (MPPT) accuracy ≥ 99%. The energy storage battery has a capacity ≥ 10 kWh, a charge and discharge efficiency ≥ 95%, and a cycle life ≥ 5000 times. The capacity of the rainwater collection tank ≥ 2 m³, equipped with a 50μm precision filter and an ultraviolet disinfection device, and the water quality meets the GB / T 18920-2020 standard. The high-conversion-efficiency solar photovoltaic panel and the high-efficiency energy storage battery ensure the stable supply of energy. The adaptively adjustable tilt angle and the high-precision MPPT algorithm can maximize the utilization of solar energy. The large-capacity rainwater collection tank and the strict water quality treatment device ensure the effective utilization of rainwater and reduce the dependence on municipal water supply.

[0028] Furthermore, the safety monitoring module includes an AI behavior recognition unit, a millimeter-wave radar, and a linkage control logic unit. The AI behavior recognition unit is based on the ResNet-50 model, with a pedestrian posture detection accuracy ≥ 98%, and the training data set contains 100,000 fall-scene images. The detection distance of the millimeter-wave radar is 0.5 - 30 m, the resolution ≤ 0.5 m, and the operating frequency is 24 GHz. The linkage control logic unit automatically closes the spray within a radius of 5 m and triggers an audible and visual alarm when the visibility < 15 m or a pedestrian fall is detected. The AI behavior recognition unit based on an advanced model and the high-precision millimeter-wave radar ensure the accurate monitoring of pedestrian dynamics. The linkage control logic unit can respond to abnormal situations in a timely manner, effectively avoiding the occurrence of safety accidents and providing a strong guarantee for the safety of crowded places.

[0029] Furthermore, the self-cleaning module includes a magnetic pulse generator, a magnetic coupler, and a sewage discharge valve. The frequency of the electromagnetic pulse generator is 1 - 5 kHz, the peak power is ≤50 W, the single cleaning duration is ≤3 minutes. The magnetic coupler is non-contact connected to the nozzle, with an IP68 protection level, and can withstand a water quality hardness of ≥400 mg / L. The sewage discharge valve is responsible for automatically opening when the scale residue amount ≥0.1 mg / L, and the sewage discharge efficiency is ≥90%. The low-power and high-frequency electromagnetic pulse generator, combined with an efficient sewage discharge valve, achieves efficient cleaning of the nozzle. The non-contact magnetic coupling connection and high protection level ensure the reliable operation of the self-cleaning module in harsh environments and extend the service life of the equipment.

[0030] Furthermore, the environmental perception module includes a temperature and humidity sensor, a PM2.5 sensor, and a data preprocessing algorithm unit. The temperature and humidity sensor has a measurement range of -20°C to 60°C, an accuracy of ±0.5°C, and a response time of ≤1 second. The measurement range of the PM2.5 sensor is 0 - 1000 μg / m³, with a resolution of 1 μg / m³, meeting the HJ 93 - 2013 standard. The data preprocessing algorithm uses Kalman filtering to eliminate noise, and the data validity is ≥99%. The high-precision and fast-response sensors and advanced data preprocessing algorithm ensure the accuracy and reliability of environmental data. It provides an accurate data basis for the intelligent management module, enabling the system to make timely and accurate responses according to environmental changes.

[0031] Furthermore, the deployment and linkage module includes a prefabricated bracket, a wireless sensor network, and an external interface. The prefabricated bracket is made of 6061-T6 aluminum alloy, assembled modularly, and the installation time is ≤2 hours. The wireless sensor network supports LoRa / Wi-Fi 6 dual-mode protocols, with a networking delay of ≤50 ms and a coverage radius of ≥100 m. The external interface is linked with the municipal sprinkler system and traffic lights, and the triggering conditions include PM2.5 > 200 μg / m³ or visibility < 10 m. The lightweight and high-strength aluminum alloy prefabricated bracket is convenient for installation and disassembly. The dual-mode protocol wireless sensor network ensures the stability and efficiency of communication. The linkage function with external systems enhances the practicality and intelligence of the system and improves the coordination of urban environmental governance.

[0032] Furthermore, the intelligent management module includes an AI algorithm processor, a remote communication unit, and digital twin modeling. The AI algorithm processor uses NVIDIA Jetson Xavier with a computing power of ≥30 TOPS and supports TensorRT acceleration. The remote communication unit has a transmission rate of ≥1 Gbps, supports the MQTT / CoAP protocol, and has an encryption level of AES-256. The digital twin modeling generates a three-dimensional visualization interface based on the Unity3D engine to display the fog coverage area and device status in real time. The powerful AI algorithm processor and high-speed remote communication unit ensure the intelligent decision-making and remote control capabilities of the system. The digital twin technology provides an intuitive display of the system operation status for managers, facilitating the timely discovery of problems and adjustments, and improving management efficiency.

[0033] Furthermore, the voice interaction module includes a voice recognition engine, an instruction library, and a response unit. The voice recognition engine integrates iFlytek voice technology, supports Mandarin and 6 dialects (such as Cantonese, Sichuan dialect, etc.), and has a recognition accuracy of ≥95%. The instruction library contains natural language instructions such as "turn on the strong light mode" and "adjust the fog concentration". The response unit takes ≤0.8 seconds from voice input to system execution and supports sound and light feedback. The high-accuracy voice recognition engine and rich instruction library make user operations more convenient. The fast response time and sound and light feedback function enhance the user's operation experience and make the control of the fog forest system more user-friendly.

[0034] In the present invention, during use, after the system is started, the environmental perception module starts to work first, continuously collects environmental data and transmits it to the intelligent management module. The intelligent management module analyzes and calculates these data in combination with information such as the current time and weather through AI algorithms, and sends control instructions to the three-dimensional space atomization module, the light and shadow coordination control module, etc. The three-dimensional space atomization module adjusts the pressure of the high-pressure water pump and the spray volume of the nozzles according to the instructions to make the fog reasonably distributed in space. The light and shadow coordination control module controls the color, brightness, and timing of the LED light strips according to different scene requirements, and cooperates with the fog to create a unique light and shadow effect.

[0035] The energy module continuously powers each module during the system operation. The solar photovoltaic panel converts solar energy into electrical energy, and the energy storage battery stores the excess electrical energy to ensure that the system can operate normally at night or on cloudy days. The rainwater collected by the rainwater collection tank is treated and used as the water source for spraying, realizing the recycling of water resources.

[0036] The safety monitoring module constantly monitors the pedestrian dynamics and fog concentration. Once an abnormal situation is detected, it immediately notifies the intelligent management module, and the intelligent management module controls the relevant modules to make corresponding adjustments to ensure personnel safety. The self-cleaning module is automatically started according to the preset time or the water quality situation to clean the nozzles to ensure that the spraying effect is not affected.

[0037] The deployment and linkage module enables the system to be quickly installed and work in coordination with other urban facilities. Through the wireless sensor network, efficient communication is achieved among the system modules, and the external interface receives signals from the municipal sprinkler system, traffic lights, etc. to achieve linkage control.

[0038] The voice interaction module provides users with a convenient operation method. Users can control various functions of the fog forest system at any time through voice commands. Whether in application scenarios such as urban parks, scenic spots, or industrial factory areas, the low-carbon intelligent fog forest control system of the present invention can fully exert its advantages, achieve efficient, intelligent, and low-carbon operation, and provide strong support for improving environmental quality, enhancing landscape effects, and ensuring personnel safety.

[0039] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention. Any equivalent structural transformation made under the inventive concept of the present invention by using the content of the specification and drawings of the present invention, or direct / indirect application in other related technical fields, is included in the patent protection scope of the present invention.

Claims

1. A low-carbon intelligent fog forest control system, characterized in that: include: The three-dimensional space atomization module consists of a honeycomb nozzle array, a high-pressure water pump, and a water supply pipeline. It adapts to the three-dimensional layout of the urban gray space by adjusting the vertical and horizontal mist volume; The light and shadow coordination control module consists of RGBW four-color LED light strips, a timing controller, and a programming interface to generate a programmable light and shadow fog curtain; Intelligent management module, consisting of AI algorithm processor, remote communication unit, and data storage unit, used to optimize spray strategy and multi-terminal control; Energy modules, consisting of solar photovoltaic panels, energy storage batteries, rainwater collection tanks, and ultraviolet sterilizers, achieve zero-carbon operation; The safety monitoring module consists of a binocular camera, millimeter-wave radar, and AI behavior recognition unit to detect pedestrian movements and fog concentration in real time; A self-cleaning module, consisting of an electromagnetic pulse generator, a magnetic coupler, and a drain valve, is used to remove scale from the nozzle; Environmental perception module, consisting of temperature and humidity sensor, PM2.5 sensor, wind speed sensor and light sensor, with data sampling frequency ≥10Hz; The deployment and linkage module consists of a pre-installed bracket, a wireless sensor network and an external interface, supporting rapid installation and multi-system collaborative control; The voice interaction module, which consists of a voice recognition engine, a command library and a response unit, supports natural language control and multi-dialect interaction.

2. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The three-dimensional space atomization module includes a honeycomb nozzle array, a high-pressure water pump, and a water supply pipeline. The vertical spacing of the honeycomb nozzle array is 50cm±5%, the horizontal spacing is 40cm±5%, the nozzle is made of 316L stainless steel, the working pressure of the high-pressure water pump is 4.5-6MPa, the diameter of the atomized particles is adjustable from 1-20μm, and the water supply pipeline is connected to the city pipeline.

3. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The light and shadow coordinated control module includes an RGBW four-color LED light strip, a timing controller, and a programming interface. The RGBW four-color LED light strip supports adjustable color temperature of 2700-6500K and brightness ≥1000 lumens. The timing controller is responsible for controlling the synchronization of light color and mist spray rhythm, and the response delay is ≤0.1 second; the programming interface supports user-defined light and shadow modes (such as "morning light" and "aurora") and stores them in the data storage unit.

4. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The energy module includes solar photovoltaic panels, energy storage batteries, and rainwater collection tanks. The conversion efficiency of the solar photovoltaic panels is ≥22%, the tilt angle is adaptively adjusted at 15°-35°, and the maximum power tracking (MPPT) accuracy is ≥99%. The energy storage battery has a capacity of ≥10kWh and a charge and discharge efficiency of ≥95%. The capacity of the rainwater collection tank is ≥2m³, equipped with a 50μm precision filter and an ultraviolet disinfection device, and the water quality meets the GB / T 18920-2020 standard.

5. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The safety monitoring module includes an AI behavior recognition unit, a millimeter-wave radar, and a linkage control logic unit. The AI ​​behavior recognition unit is based on the ResNet-50 model, and the pedestrian posture detection accuracy is ≥98%. The training data set contains 100,000 images of falling scenes. The detection distance of the millimeter-wave radar is 0.5-30m. When the visibility is less than 15m or a pedestrian falls, the linkage control logic unit automatically closes the spray within a radius of 5m and triggers an audible and visual alarm.

6. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The self-cleaning module includes a magnetic pulse generator, a magnetic coupler, and a drain valve. The frequency of the electromagnetic pulse generator is 1-5kHz, the peak power is ≤50W, and the single cleaning time is ≤3 minutes. The magnetic coupler is non-contactly connected to the nozzle and has a protection level of IP68. The drain valve is responsible for automatically opening when the scale residue is ≥0.1mg / L.

7. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The environmental perception module includes a temperature and humidity sensor, a PM2.5 sensor, and a data preprocessing algorithm unit. The temperature and humidity sensor has a range of -20°C to 60°C, an accuracy of ±0.5°C, and a response time of ≤1 second. The PM2.5 sensor has a range of 0-1000μg / m³ and a resolution of 1μg / m³. The data preprocessing algorithm uses Kalman filtering to eliminate noise.

8. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The deployment and linkage module includes a pre-installed bracket, a wireless sensor network, and an external interface. The pre-installed bracket is made of 6061-T6 aluminum alloy and is modularly assembled. The installation time is ≤2 hours. The wireless sensor network supports the LoRa / Wi-Fi 6 dual-mode protocol, the networking delay is ≤50ms, and the coverage radius is ≥100m. The external interface is linked with the municipal sprinkler system and traffic lights.

9. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The intelligent management module includes an AI algorithm processor, a remote communication unit, and digital twin modeling. The AI ​​algorithm processor adopts NVIDIA JetsonXavier, with a computing power of ≥30TOPS and supports TensorRT acceleration. The remote communication unit has a transmission rate of ≥1Gbps and supports MQTT / CoAP protocol. The digital twin modeling generates a three-dimensional visualization interface based on the Unity3D engine, which displays the fog coverage and equipment status in real time.

10. A low-carbon intelligent fog forest control system according to claim 1, characterized in that: The voice interaction module includes a voice recognition engine, a command library, and a response unit. The voice recognition engine integrates iFlytek voice technology and supports Mandarin and 6 dialects (Cantonese, Sichuan, etc.). The command library has built-in natural language commands such as "turn on strong light mode" and "adjust fog concentration". The response unit takes ≤0.8 seconds from voice input to system execution and supports sound and light feedback.

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