Environmental governance device based on digital twinning and Internet of Things and governance method of environmental governance device

Abstract

The invention relates to an environmental governance device based on digital twinning and Internet of Things. The environmental governance device comprises a detection box, a base, an air inlet pipe, a power mechanism and a control mechanism. The detection box is used for collecting an air sample and sending detection data to the data processing center; the base is arranged below the detection box, adopts a triangular supporting structure to improve the stability, and can be fixed on the ground or buried in soil; the air inlet pipe is mounted above the detection box and is used for guiding air into the detection box; the power mechanism drives the fan blades to rotate through natural wind and drives the driving gear to act through the connecting rod and the rotating shaft. And the control mechanism is linked with the power mechanism, and automatically controls the opening and closing of the air inlet channel according to the natural wind change, thereby optimizing the air sampling process. The device is compact in structure, has the advantages of environmental protection, adaptive adjustment, high reliability and easy large-scale deployment, can be widely applied to urban environment monitoring, ecological management and smart city construction, and provides real-time and accurate basic data support.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental governance, and in particular to an environmental governance device and a governance method based on digital twins and the Internet of Things. Background Art

[0002] With the acceleration of urbanization and the rise of industrialization, environmental pollution is becoming increasingly serious. Traditional environmental governance methods are gradually exposing numerous shortcomings in terms of response speed, data accuracy, and intelligent decision-making. Existing environmental governance methods rely heavily on manual inspections and periodic sampling and analysis. This not only lags information but also lacks the ability to perceive and predict dynamic environmental changes in real time, making it difficult to effectively respond to sudden pollution incidents or long-term, cumulative environmental problems. In recent years, the Internet of Things (IoT) has rapidly developed. By deploying various sensors, it enables real-time monitoring of environmental factors such as air quality, water conditions, and soil pollution. However, data collected by the IoT alone still suffices to provide a deep understanding of the systemic and dynamic nature of the environment. Digital twin technology, as an advanced cyber-physical system fusion method, can drive virtual models with real-time data, achieving simultaneous mapping and dynamic simulation of the physical environment, supporting the visualization, prediction, and optimization of environmental change processes. Combining the IoT with digital twin technology to build an environmental governance system not only provides real-time visibility into environmental conditions but also enables the formulation of scientific and efficient governance strategies based on model deduction. Therefore, there is an urgent need for an environmental governance device based on the integration of digital twins and the Internet of Things to improve the real-time nature of environmental monitoring, the scientific nature of decision-making, and the intelligent level of governance, and to promote environmental protection and sustainable development.

[0003] In view of the above situation, in order to overcome the above technical problems, the present invention designs an environmental governance device and a governance method based on digital twins and the Internet of Things to solve the above technical problems. Summary of the Invention

[0004] The technical objective of this invention is to design an environmental governance device and a governance method based on digital twins and the Internet of Things, to improve the real-time nature of environmental monitoring, the scientific nature of decision-making and the intelligent level of governance, and to promote environmental protection and sustainable development.

[0005] In order to achieve the above technical objectives, the present invention provides the following technical solutions: An environmental management device based on digital twins and the Internet of Things includes a detection box, a base, an air intake pipe, a power mechanism, and a control mechanism. The detection box is used to perform real-time detection of air quality parameters in the environment and send the collected data to a remote data processing center via wireless or wired means, enabling online monitoring and dynamic updating of environmental conditions. A base is provided below the detection box. There are three bases, and the lower part of each base is configured as a triangular support structure, which enhances the stability and wind resistance of the device in complex outdoor environments. Depending on actual usage requirements, the base can be directly fixed to the ground, or partially buried in the soil to ensure firmness during long-term deployment. The air intake pipe is installed at the top of the detection box to guide external air into the detection box, allowing the detection sensor to collect representative gas samples for analysis. The power mechanism is arranged inside the detection box and is equipped with powered fan blades. When driven by natural wind, the fan blades rotate to generate power, thereby driving the control mechanism to operate. The control mechanism is installed on the side of the power mechanism and is used to automatically open and close according to the rotation of the power fan blades. When the natural wind speed reaches the set threshold, the control mechanism opens to guide fresh air into the detection box to ensure the accuracy and real-time nature of the detection data. At the same time, it closes when the wind speed is insufficient to prevent detection interference.

[0006] The power mechanism includes a rotating shaft, a connecting rod, a power fan blade and a driving gear. The rotating shaft is fixedly installed inside the detection box and arranged in a vertical direction, and is mainly used to transmit rotational motion. One end of the connecting rod is installed at the top of the detection box, and the other end is connected to the power fan blade, which is used to support and fix the position of the power fan blade. The power fan blade is installed at the end of the connecting rod and can rotate under the action of natural wind, and then drive the rotating shaft to rotate synchronously through the connecting rod. The driving gear is installed below the rotating shaft and can rotate synchronously with the rotation of the rotating shaft to provide mechanical power for the start of the control mechanism. The structural design of the power mechanism ensures that natural wind energy can be fully utilized to complete the energy conversion process, and it has a compact structure and high reliability, which can adapt to the long-term working requirements of outdoor environment.

[0007] The control mechanism includes a fixed component, a rotating component, a control ring, a pushing component and a control component. The fixed component is installed inside the detection box to provide a stable installation base for the rotating component. The rotating component can be rotatably installed inside the fixed component to respond to the rotation signal of the power mechanism. The control ring is installed above the rotating component and serves as an interface for the rotating component to interact with the external structure, driving the pushing component to move through rotation. The pushing component is arranged inside the rotating component and converts the rotational action into a linear pushing action through the internal structure, thereby triggering the control component. The control component is installed inside the fixed component and is responsible for the final opening and closing control. The control mechanism is reasonably designed and can automatically adjust the air introduction according to the changes in natural wind, effectively improving the intelligence level of the detection box.

[0008] The fixing assembly includes a fixing ring, a fixing frame, a first through hole, a control slide and a matching groove. The fixing ring is installed inside the detection box to provide support and positioning for the entire fixing assembly. The fixing frame is arranged above the fixing ring and is connected to the fixing ring structure to form a stable support system. The first through hole is provided in the middle of the fixing frame for the rotating assembly or the pushing assembly to pass through, ensuring the smooth rotation and pushing action. The control slide is provided on the upper surface of the fixing frame for the components in the control assembly to slide or guide. The matching groove is provided on the side of the fixing ring for structural coordination and positioning with the rotating assembly or other mechanical components to ensure the accuracy and reliability of the overall operation of the control mechanism.

[0009] The rotating assembly includes a rotating disk, a second through hole, a limiting slide and rotating teeth. The rotating disk can be rotatably installed inside the fixed assembly as a key component for power transmission. The second through hole is provided in the center of the rotating disk for docking with the pushing assembly to ensure that the pushing assembly can move smoothly during rotation. The limiting slide is provided on the outside of the second through hole to limit the rotation angle and range to avoid the problem of loss of control or excessive rotation of the rotating assembly. The rotating teeth are provided on the side of the rotating disk to transmit the rotational torque through engagement. The limiting slide is provided as a regular hexagonal structure, which enhances the positioning stability and control accuracy of the rotating assembly during rotation, and is conducive to improving the operational reliability of the entire control mechanism.

[0010] The pushing assembly includes a pushing pin, a pushing rod and a fixed block. The pushing pin is installed on the upper surface of the control assembly, and plays the role of converting rotational power into driving force. The pushing rod is connected to the side of the pushing pin, and is used to transmit the force generated by the pushing pin to other components, thereby realizing the mechanical transformation of the connecting rod mechanism. The fixed block is installed at the other end of the pushing rod, and plays the role of supporting the pushing rod and stabilizing the pushing path, thereby preventing the pushing rod from deviating or falling off during movement. The overall structure of the pushing assembly is simple and reliable, and can effectively convert rotational motion into precise linear pushing action, providing basic power support for subsequent air opening and closing control.

[0011] The control assembly includes a control panel and a limit slider. The control panel is installed above the rotating assembly and serves as an important platform for connecting the rotating assembly and the pushing assembly. The front of the control panel is designed as an equilateral triangle cross-section structure, which not only helps to optimize the aerodynamic performance, but also facilitates the reasonable allocation of the positions of various components within a limited space, thereby improving the compactness of the overall layout of the device. The limit slider is installed below the control panel and is used to cooperate with the limit slide to guide and position the rotation movement, thereby preventing the control panel from offsetting or rotating abnormally during movement. Through the cooperation of the limit slider and the control slide, the trajectory of the control assembly during the movement can be ensured to be accurate, effectively improving the stability and reliability of the entire device.

[0012] A method for environmental management based on digital twins and the Internet of Things, which is used in conjunction with the above-mentioned environmental management device based on digital twins and the Internet of Things; the steps of the method are as follows: S1: In target environments such as cities, industrial areas, and nature reserves, systematically deploy environmental governance devices based on digital twins and the Internet of Things. Detection boxes are connected to a dedicated Internet of Things network through wireless communication modules, forming an environmental perception system with wide coverage and efficient data transmission. During deployment, scientific site selection is based on terrain, pollution source distribution, and climatic conditions to ensure the representativeness and comprehensiveness of collected data. To ensure the continuity and stability of data collection, edge computing nodes are built for preliminary data processing and caching, reducing network load and improving response speed, laying the foundation for subsequent digital twin modeling. S2: The detection box collects air data in real time and transmits it to the central processing system via the IoT platform. To improve data quality and utilization efficiency, intelligent preprocessing technology is used, including data denoising, outlier removal, time series padding, and data standardization. By deploying preprocessing algorithms on edge computing nodes or cloud servers, large-scale environmental data can be quickly screened and preliminarily classified, providing a highly accurate, low-latency data source for the construction of digital twin systems. S3: Based on high-quality environmental monitoring data, a modeling engine is used to construct a virtual simulation model on the digital twin platform that closely corresponds to the actual environment. The modeling content covers multi-dimensional information such as topography, meteorological conditions, water flow, and pollutant diffusion paths. The model is continuously updated through real-time data streams, achieving synchronized changes between the physical and digital worlds. S4: With the support of digital twin models, combined with artificial intelligence technologies such as machine learning and deep learning, the system simulates and analyzes environmental change trends. Trained with historical data, the system can identify the development trends of potential problems such as deteriorating air quality, eutrophication of water bodies, and excessive heavy metal levels in soil. At the same time, AI algorithms conduct causal analysis of abnormal environmental changes, track the diffusion paths of pollutants, and locate major pollution sources and their potential impact areas. This not only provides a basis for early warning of environmental problems, but also lays the data and model foundation for the subsequent development of targeted governance measures, significantly improving governance efficiency and accuracy. S5: Based on the simulation and identification results, the system automatically generates multiple environmental governance plans, including pollutant emission control, ecological restoration, and emergency response measures. By deducing each plan on the digital twin platform, it evaluates key indicators such as the timeline, cost input, and risk level of environmental quality changes under different governance strategies. Using a multi-objective optimization algorithm, a comprehensive evaluation is conducted from multiple dimensions, including governance effectiveness, economic cost, and feasibility, ultimately recommending optimal or suboptimal governance strategies. The decision support process features adaptive optimization capabilities, dynamically adjusting recommendations based on changing external conditions, achieving truly intelligent environmental governance assistance.

[0013] S6: After the decision support system outputs the governance plan, the actual governance operations are carried out through automated means such as smart devices, drones, and robots. At the same time, monitoring equipment continues to collect environmental change data to form real-time feedback on the governance execution effect. By comparing the execution feedback with the digital twin model, the system continuously verifies the accuracy of the model prediction, adjusts the simulation parameters, optimizes the algorithm performance, and gradually improves the accuracy and response speed of environmental governance.

[0014] The beneficial effects of the present invention are as follows: (1) The present invention realizes adaptive adjustment of the air circulation control inside the detection device by introducing a power mechanism driven by natural wind, which has the advantages of being independent of external power supply and green and energy-saving. The power fan blades rotate under the action of natural wind, driving the rotating shaft and driving gear to move, thereby realizing the automatic opening and closing of the control mechanism through mechanical transmission. Compared with the traditional system that relies on motors and sensors for control, the structural design of the present invention is simpler and less expensive, and greatly improves the ability to operate continuously for a long time in the wild or in areas without power supply. At the same time, the triangular support base design ensures the stability and wind resistance of the detection box under different terrain conditions, and adapts to various complex outdoor environments. The device as a whole can effectively and automatically adjust the sampling state according to environmental changes, and obtain high-quality environmental data in real time, thereby providing more accurate and dynamic input for the digital twin platform, and improving the intelligence and scientific level of environmental governance.

[0015] (2) The present invention adopts a combination design of fixed components, rotating components, pushing components and control components. Through reasonable structural coordination between the various components, stable, reliable and precise motion control is achieved. In particular, the application of limiting slides, rotating teeth and matching grooves effectively limits the motion range of the rotating components and the pushing components, prevents excessive rotation or malfunction caused by wind changes, and significantly improves the reliability and service life of the device. At the same time, the control panel adopts an equilateral triangle front end design, which makes the air introduction path smoother, helps to improve the detection efficiency and representativeness of air samples. By combining the detection box with the Internet of Things data transmission system, the detection data can be uploaded to the digital twin platform in real time, supporting dynamic simulation of environmental status, pollution source tracking and predictive analysis, and greatly improving the intelligent decision-making ability of environmental monitoring and governance. The overall device has a compact structure and complete functions, which is convenient for large-scale deployment and subsequent maintenance, and has broad application prospects and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] The above and other aspects of the present invention will now be described, by way of example only, with reference to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the overall structure of the present invention; Figure 2 It is a schematic structural diagram of the power mechanism of the present invention; Figure 3 It is a schematic diagram of the control mechanism structure of the present invention; Figure 4 It is a schematic diagram of the structure of the fixing assembly of the present invention; Figure 5 It is a schematic structural diagram of the rotating assembly of the present invention; Figure 6 It is a schematic diagram of the structure of the propulsion component and the control component of the present invention; Figure 7 It is a flow chart of the method of the present invention.

[0018] In the figure: 1. detection box; 2. base; 3. air intake pipe; 4. power mechanism; 41. rotating shaft; 42. connecting rod; 43. power fan blade; 44. driving gear; 5. control mechanism; 51. fixing component; 511. fixing ring; 512. fixing frame; 513. first through hole; 514. control slide; 515. matching groove; 52. rotating component; 521. rotating disk; 522. second through hole; 523. limiting slide; 524. rotating tooth; 53. control ring; 54. pushing component; 541. pushing pin; 542. pushing rod; 543. fixing block; 55. control component; 551. control board; 552. limiting slider. DETAILED DESCRIPTION

[0019] In order to better understand the above technical solution, the above technical solution will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] like Figure 1-7As shown, an environmental management device based on digital twins and the Internet of Things (IoT) includes a detection box 1, a base 2, an air intake pipe 3, a power mechanism 4, and a control mechanism 5. The detection box 1 is used to perform real-time monitoring of air quality parameters in the environment and transmit the collected data to a remote data processing center via wireless or wired means, enabling online monitoring and dynamic updating of environmental conditions. Three bases 2 are provided below the detection box 1, and the lower portion of each base 2 is configured as a triangular support structure, enhancing the device's stability and wind resistance in complex outdoor environments. Depending on actual usage requirements, the base 2 can be directly fixed to the ground or partially buried in the soil to ensure stability during long-term deployment. The air intake pipe 3 is installed at the top of the detection box 1 to guide external air into the detection box 1, allowing the detection sensor to collect representative gas samples for analysis. The power mechanism 4 is located inside the detection box 1 and is equipped with powered fan blades 43. When driven by natural wind, the fan blades rotate to generate power, which in turn drives the control mechanism 5. The control mechanism 5 is installed on the side of the power mechanism 4 and is used to automatically open and close according to the rotation of the power fan blades 43. When the natural wind speed reaches the set threshold, the control mechanism 5 opens to guide fresh air into the detection box 1 to ensure the accuracy and real-time nature of the detection data. At the same time, it closes when the wind speed is insufficient to prevent detection interference.

[0021] like Figure 2 As shown, the power mechanism 4 includes a rotating shaft 41, a connecting rod 42, a power fan blade 43 and a driving gear 44. The rotating shaft 41 is vertically mounted inside the detection box 1 and supported by a bearing assembly, and can rotate smoothly under natural wind drive. One end of the connecting rod 42 is fixed to the top of the detection box 1, and the other end is connected to the power fan blade 43, which plays a role in supporting and transmitting torque. The power fan blade 43 is made of lightweight corrosion-resistant materials, such as engineering plastics or aluminum alloys, to ensure reliability and low wind resistance under long-term outdoor use conditions. When external wind force acts on the power fan blade 43, the fan blade rotates with the wind and drives the rotating shaft 41 to rotate synchronously through the connecting rod 42. The driving gear 44 installed at the lower end of the rotating shaft 41 rotates synchronously with the rotating shaft 41, and transmits the rotational power to the control mechanism 5 through the meshing structure, realizing energy conversion and subsequent action linkage. This power mechanism 4 makes full use of natural wind energy, avoids the problem of traditional electric drive structure's dependence on power supply, and improves the green environmental protection and autonomous operation capability of the device.

[0022] like Figure 3As shown, the control mechanism 5 in this embodiment includes a fixed component 51, a rotating component 52, a control ring 53, a pushing component 54 and a control component 55. The fixed component 51 is installed inside the detection box 1 and serves as a mounting base for other components. The rotating component 52 is rotatably installed inside the fixed component 51 to respond to the rotational force transmitted by the power mechanism 4. The control ring 53 is installed above the rotating component 52, and the rotation of the control ring 53 is used to drive the subsequent air diversion and opening and closing actions. The pushing component 54 is embedded in the rotating component 52 and is used to convert the rotational action into a linear pushing action to drive the airflow opening and closing structure to work. The control component 55 is installed inside the fixed component 51 and plays the function of action execution and position locking. Through the above-mentioned structural coordination, when the natural wind drives the power mechanism 4 to move, the intelligent opening and closing of the air inlet of the detection box 1 can be realized, thereby optimizing the air sample collection effect according to environmental conditions and improving the accuracy and dynamic response capability of air quality detection.

[0023] like Figure 4 As shown, the fixed assembly 51 is composed of a fixed ring 511, a fixed frame 512, a first through hole 513, a control slide 514 and a matching groove 515. The fixed ring 511 is installed inside the detection box 1. The annular structure provides stable support and circumferential positioning for the entire device. The fixed frame 512 is fixedly arranged above the fixed ring 511 and is mainly used to support the rotating assembly 52 and guide its movement. A first through hole 513 is provided in the middle of the fixed frame 512, the size of which is compatible with the rotating assembly 52 and the pushing assembly 54, facilitating the transmission of power and movement. A control slide 514 is provided on the upper surface of the fixed frame 512. The slide is used to guide the movement trajectory of the pushing assembly 54 or the limiting slider 552, ensuring the stability and accuracy of the movement direction. A matching groove 515 is provided on the side of the fixed ring 511. The matching groove 515 forms a limiting fit with the rotating assembly 52 or other transmission structure, enhancing the stability and reliability of the overall connection and preventing the structure from loosening or misalignment.

[0024] like Figure 5As shown, the rotating assembly 52 includes a rotating disk 521, a second through hole 522, a limiting slide 523 and a rotating tooth 524. The rotating disk 521 is arranged inside the fixed assembly 51 and is connected by a rotating shaft 41 to achieve a stable rotating motion. A second through hole 522 is provided in the center of the rotating disk 521, corresponding to the position of the pushing assembly 54, for realizing the transition of the rotation to the pushing motion. A limiting slide 523 is provided on the periphery of the second through hole 522. The shape of the slide is a regular hexagon, which helps to limit the rotation range of the rotating disk 521 and stop it through the limiting structure after rotating a certain angle to prevent the problem of over-rotation. The rotating tooth 524 is arranged on the side wall of the rotating disk 521 and engages with the driving gear 44. The power input driven by natural wind drives the rotating disk 521 to rotate in a controlled manner. Through the above structural design, the rotating assembly 52 not only ensures the continuity of the action, but also enhances the mechanical stability of the overall transmission system.

[0025] like Figure 6 As shown, the pushing component 54 includes a pushing pin 541, a pushing rod 542 and a fixed block 543. The pushing pin 541 is fixedly installed above the control component 55 and can be pushed after the rotating component 52 rotates a certain angle. One end of the pushing rod 542 is connected to the pushing pin 541, and the other end is supported by the fixed block 543. The pushing rod 542 moves along the direction of the control slide 514 or the limiting slide 523, effectively converting the tangential force generated by the rotation into an axial driving force. The fixed block 543 is arranged at the far end of the pushing rod 542, mainly used to stabilize the posture of the pushing rod 542 during the movement to prevent deflection or jamming. The pushing component 54 is simple and reliable in design, and the motion trajectory is strictly constrained by the limiting structure, which can ensure that the motion conversion process can be completed stably and efficiently under different environmental wind speed conditions.

[0026] The control assembly 55 in this embodiment includes a control panel 551 and a limiting slider 552. The control panel 551 is installed above the rotating assembly 52 and serves as a key connection platform for power transmission and motion coordination. The front of the control panel 551 is designed to have an equilateral triangle cross-section, which not only improves space utilization, but also makes the airflow guide smoother, which helps to control the inlet and outlet status of the airflow. The limiting slider 552 is installed below the control panel 551 and cooperates with the control slide 514 of the fixed assembly 51. By sliding, it limits the range of motion of the control panel 551 to ensure the accuracy and reliability of the control action. The control assembly 55 realizes the intelligent opening and closing of the air intake structure of the detection box 1 through linkage with the pushing assembly 54, effectively improving the timeliness and representativeness of air sampling.

[0027] An environmental governance method based on digital twins and the Internet of Things, the method comprises the following steps: S1: In target environments such as cities, industrial areas, and nature reserves, systematically deploy environmental governance devices based on digital twins and the Internet of Things. The detection box (1) is connected to a dedicated Internet of Things network through a wireless communication module to form an environmental perception system with wide coverage and efficient data transmission. During the deployment process, scientific site selection is carried out based on the terrain, distribution of pollution sources, and climatic conditions to ensure the representativeness and comprehensiveness of the collected data. To ensure the continuity and stability of data collection, edge computing nodes are built for preliminary processing and caching of data, reducing network load and improving response speed, laying the foundation for subsequent digital twin modeling. S2: Detection Box 1 collects air data in real time and transmits it to the central processing system via the IoT platform. To improve data quality and utilization efficiency, intelligent preprocessing technology is used, including data denoising, outlier removal, time series padding, and data standardization. By deploying preprocessing algorithms on edge computing nodes or cloud servers, large-scale environmental data can be quickly screened and preliminarily classified, providing a highly accurate, low-latency data source for the construction of digital twin systems. S3: Based on high-quality environmental monitoring data, a modeling engine is used to construct a virtual simulation model on the digital twin platform that closely corresponds to the actual environment. The modeling content covers multi-dimensional information such as topography, meteorological conditions, water flow, and pollutant diffusion paths. The model is continuously updated through real-time data streams, achieving synchronized changes between the physical and digital worlds. S4: With the support of digital twin models, combined with artificial intelligence technologies such as machine learning and deep learning, the system simulates and analyzes environmental change trends. Trained with historical data, the system can identify the development trends of potential problems such as deteriorating air quality, eutrophication of water bodies, and excessive heavy metal levels in soil. At the same time, AI algorithms conduct causal analysis of abnormal environmental changes, track the diffusion paths of pollutants, and locate major pollution sources and their potential impact areas. This not only provides a basis for early warning of environmental problems, but also lays the data and model foundation for the subsequent development of targeted governance measures, significantly improving governance efficiency and accuracy. S5: Based on the simulation and identification results, the system automatically generates multiple sets of environmental governance plans, including pollutant emission control, ecological restoration, and emergency response measures. By deducing each plan on the digital twin platform, it evaluates key indicators such as the timeline, cost input, and risk level of environmental quality changes under different governance strategies. Using a multi-objective optimization algorithm, it conducts a comprehensive evaluation from multiple dimensions such as governance effect, economic cost, and implementation feasibility, and ultimately recommends the optimal or suboptimal governance strategy. The decision support process has adaptive optimization capabilities and can dynamically adjust the recommended content according to changes in external conditions, realizing truly intelligent environmental governance assistance. S6: After the decision support system outputs the governance plan, the actual governance operations are carried out through automated means such as smart devices, drones, and robots. At the same time, monitoring equipment continues to collect environmental change data to form real-time feedback on the governance execution effect. By comparing the execution feedback with the digital twin model, the system continuously verifies the accuracy of the model prediction, adjusts the simulation parameters, optimizes the algorithm performance, and gradually improves the accuracy and response speed of environmental governance.

[0028] During operation of the present invention, the base 2 is fixed to the ground or buried in the soil. When natural wind blows the power mechanism 4, the power blades 43 are forced to rotate, driving the rotating shaft 41 and the driving gear 44 to rotate, and the rotating teeth 524 meshing with the driving gear 44 also rotate accordingly. The rotating rotating disk 521 drives the multiple control components 55 to rotate under the restriction of the pushing component 54, so that the control plate 551 moves toward the center of the first through hole 513, thereby completely connecting the first through hole 513 and the second through hole 522, so that air can enter the detection box 1 through the air inlet pipe 3, thereby detecting the environment.

[0029] Various modifications to the present disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the scope of the present disclosure. Therefore, the present disclosure is not limited to the examples and designs described herein, but should be given the widest scope consistent with the principles and novel features disclosed herein. Although one or more exemplary embodiments of the present disclosure have been described with reference to the accompanying drawings, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present disclosure as defined in the appended claims.

Claims

1. An environmental management device based on digital twins and the Internet of Things, characterized in that: It comprises a detection box (1), a base (2), an air intake pipe (3), a power mechanism (4) and a control mechanism (5); A detection box (1), the detection box (1) is used to detect air quality and send the detection data to a data processing center; The base (2) is installed below the detection box (1). There are three bases (2). The bottom of each base (2) is provided with a triangular support structure. The base (2) can be fixed on the ground or buried under the soil. The air inlet pipe (3) is arranged above the detection box (1), and the air inlet pipe (3) is used to introduce air into the detection box (1) for detection; The power mechanism (4) is installed inside the detection box (1), and the power fan blades (43) in the power mechanism (4) rotate under the influence of natural wind, thereby driving the control mechanism (5) to open and close to determine whether to introduce air; The control mechanism (5) is installed on the side of the power mechanism (4) and opens and closes when the power mechanism (4) is affected by natural wind, thereby sending fresh air into the detection box (1).

2. The environmental management device based on digital twin and Internet of Things according to claim 1 is characterized by: The power mechanism (4) includes a rotating shaft (41), a connecting rod (42), a power fan blade (43) and a driving gear (44); The rotating shaft (41) is installed inside the detection box (1), the connecting rod (42) is installed at the top end of the detection box (1), the power fan blade (43) is installed at the other end of the connecting rod (42), and the driving gear (44) is installed below the rotating shaft (41).

3. The environmental management device based on digital twin and Internet of Things according to claim 1 is characterized by: The control mechanism (5) comprises a fixed component (51), a rotating component (52), a control ring (53), a pushing component (54) and a control component (55); The fixed component (51) is installed inside the detection box (1), the rotating component (52) is installed inside the fixed component (51), the control ring (53) is installed on the rotating component (52), the pushing component (54) is installed inside the rotating component (52), and the control component (55) is installed inside the fixed component (51).

4. The environmental management device based on digital twin and Internet of Things according to claim 3 is characterized by: The fixing assembly (51) comprises a fixing ring (511), a fixing frame (512), a first through hole (513), a control sliding groove (514) and a matching groove (515); The fixing ring (511) is installed inside the detection box (1), the fixing frame (512) is arranged on the fixing ring (511), the first through hole (513) is opened in the middle of the fixing frame (512), the control slide groove (514) is opened on the fixing frame (512), and the matching groove (515) is opened on the side of the fixing ring (511).

5. The environmental management device based on digital twin and Internet of Things according to claim 3 is characterized by: The rotating assembly (52) comprises a rotating disk (521), a second through hole (522), a limiting sliding groove (523) and a rotating tooth (524); The rotating disk (521) is installed inside the fixed assembly (51), the second through hole (522) is opened in the middle of the rotating disk (521), the limiting sliding groove (523) is opened on the outside of the second through hole (522), and the rotating teeth (524) are arranged on the side of the rotating disk (521).

6. The environmental management device based on digital twin and Internet of Things according to claim 5 is characterized by: The limiting sliding groove (523) is configured as a regular hexagon.

7. The environmental management device based on digital twin and Internet of Things according to claim 3 is characterized by: The pushing assembly (54) includes a pushing pin (541), a pushing rod (542) and a fixing block (543); The pushing pin (541) is installed on the top of the control assembly (55), the pushing rod (542) is installed on the side of the pushing pin (541), and the fixing block (543) is installed on the other end of the pushing rod (542).

8. The environmental management device based on digital twin and Internet of Things according to claim 3 is characterized by: The control assembly (55) includes a control panel (551) and a limit slider (552); The control panel (551) is mounted on the upper side of the rotating assembly (52), and the limiting slider (552) is mounted on the lower side of the control panel (551).

9. The environmental management device based on digital twin and Internet of Things according to claim 8, characterized in that: The front portion of the control panel (551) is provided with a cross-sectional shape of an equilateral triangle.

10. A method for environmental management based on digital twins and the Internet of Things, the method being used in conjunction with an environmental management device based on digital twins and the Internet of Things as claimed in any one of claims 1 to 9; characterized in that: The steps of the method are as follows: S1: In target environments such as cities, industrial areas, and nature reserves, systematically deploy environmental governance devices based on digital twins and the Internet of Things. The detection box (1) is connected to a dedicated Internet of Things network through a wireless communication module to form an environmental perception system with wide coverage and efficient data transmission. During the deployment process, scientific site selection is carried out based on the terrain, distribution of pollution sources, and climatic conditions to ensure the representativeness and comprehensiveness of the collected data. To ensure the continuity and stability of data collection, edge computing nodes are built for preliminary processing and caching of data, reducing network load and improving response speed, laying the foundation for subsequent digital twin modeling. S2: The detection box (1) collects air data in real time and transmits it to the central processing system through the Internet of Things platform. To improve data quality and utilization efficiency, intelligent preprocessing technology is used, including data denoising, outlier removal, time series filling and data standardization. By deploying preprocessing algorithms on edge computing nodes or cloud servers, it can achieve rapid screening and preliminary classification of large-scale environmental data, providing a high-accuracy, low-latency data source for the construction of digital twin systems; S3: Based on high-quality environmental monitoring data, a modeling engine is used to construct a virtual simulation model on the digital twin platform that closely corresponds to the actual environment. The modeling content covers multi-dimensional information such as topography, meteorological conditions, water flow, and pollutant diffusion paths. The model is continuously updated through real-time data streams, achieving synchronized changes between the physical and digital worlds. S4: With the support of digital twin models, combined with artificial intelligence technologies such as machine learning and deep learning, the system simulates and analyzes environmental change trends. Trained with historical data, the system can identify the development trends of potential problems such as deteriorating air quality, eutrophication of water bodies, and excessive heavy metal levels in soil. At the same time, AI algorithms conduct causal analysis of abnormal environmental changes, track the diffusion paths of pollutants, and locate major pollution sources and their potential impact areas. This not only provides a basis for early warning of environmental problems, but also lays the data and model foundation for the subsequent development of targeted governance measures, significantly improving governance efficiency and accuracy. S5: Based on the simulation and identification results, the system automatically generates multiple sets of environmental governance plans, including coordinated pollutant control, ecological restoration, and emergency response measures. By deducing each plan on the digital twin platform, it evaluates key indicators such as the timeline, cost input, and risk level of environmental quality changes under different governance strategies. Using a multi-objective optimization algorithm, it conducts a comprehensive evaluation from multiple dimensions such as governance effect, economic cost, and implementation feasibility, and ultimately recommends the optimal or suboptimal governance strategy. The decision support process has adaptive optimization capabilities and can dynamically adjust the recommended content according to changes in external conditions, realizing truly intelligent environmental governance assistance. S5: After the decision support system outputs the governance plan, the actual governance operations are carried out through automated means such as smart devices, drones, and robots. At the same time, monitoring equipment continues to collect environmental change data to form real-time feedback on the governance execution effect. By comparing the execution feedback with the digital twin model, the system continuously verifies the accuracy of the model prediction, adjusts the simulation parameters, optimizes the algorithm performance, and gradually improves the accuracy and response speed of environmental governance.

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