Intelligent enclosure facility integrating machine vision and data mining

Abstract

The invention discloses an intelligent enclosure facility integrating machine vision and data mining, and belongs to the technical field of campus enclosure. The intelligent enclosure facility comprises a wall body, a shielding assembly, an adjusting mechanism, an environment information acquisition mechanism and a control module, the environment information acquisition mechanism comprises a camera, and the control module is configured to obtain video data; obtaining a field image based on the video data, and carrying out image recognition to obtain a target feature and a corresponding feature behavior; retrieving a preset data table 1 based on the characteristic behavior, and determining matched dust raising reference data and noise reference data; and if the noise reference data is smaller than the preset noise allowable threshold value, executing a shutter hole adjusting process. The sound barrier structure has the effect that the sound barrier structure can be better matched with the construction environment.

Description

Technical Field

[0001] The present application relates to the field of campus enclosure technology, and in particular to an intelligent enclosure facility integrating machine vision and data mining. Background Art

[0002] As a learning place for students, the campus requires a relatively quiet environment. However, if road construction and maintenance or building construction is carried out near the campus, it will inevitably generate a lot of noise, affecting the campus environment.

[0003] The above problems can be alleviated by setting up sound barriers along the edge of the campus facing the construction site. At the same time, the sound barriers can also be directly used as campus enclosure facilities. In order to achieve a certain aesthetic effect and high structural strength while reducing noise, louvered sound barriers (such as Figure 1 As shown) is a good choice, however, due to the special structure of the louver holes, dust and other debris entering the holes are relatively difficult to clean, which affects its long-term performance, and the construction will inevitably generate more dust, so this application proposes a new technical solution. Summary of the invention

[0004] In order to improve the long-term performance of the sound barrier structure, the present application provides an intelligent enclosure facility that integrates machine vision and data mining.

[0005] This application provides an intelligent enclosure facility integrating machine vision and data mining, which adopts the following technical solutions:

[0006] An intelligent enclosure facility integrating machine vision and data mining, including:

[0007] A wall having a plurality of louver holes extending parallel to the thickness direction of the wall;

[0008] A shielding component, used to shield the ends of each louver hole facing the noise source toward the front and upward;

[0009] An adjustment mechanism, which is used to adjust the position of the shielding component;

[0010] An environmental information collection mechanism, which is used to collect and output environmental information on the side of the wall facing the noise source;

[0011] A control module, which is electrically connected to the regulating mechanism and the environmental information collecting mechanism;

[0012] Wherein, the environmental information collection mechanism includes a camera, and the control module is configured as follows:

[0013] Get video data;

[0014] Based on the video data, the scene image is obtained and image recognition is performed to obtain the target features and corresponding characteristic behaviors;

[0015] Retrieve the preset data table 1 based on the characteristic behavior to determine the matching dust reference data and noise reference data;

[0016] If the noise reference data is less than the preset noise allowable threshold, the louver hole adjustment process is executed;

[0017] Wherein, the target feature at least includes construction equipment, and the data table 1 records dust reference data and noise reference data corresponding to characteristic behaviors of several target features; the louver hole adjustment process includes:

[0018] Retrieving a preset data table 2 according to the dust reference data to determine the position parameters of the matching shielding component; the data table 2 records the position parameters of the shielding component corresponding to a number of dust reference data;

[0019] New control data is generated based on the position of the shielding component and output to the regulating mechanism.

[0020] Optionally, the wall is divided into multiple sections along its direction and each section has a set of adjustment mechanisms to adjust the position of the shielding component on the corresponding wall section;

[0021] The control module is configured as follows:

[0022] Assign identification codes to each group of adjustment mechanisms, define the location range of the wall section protection to which they belong, and establish a one-to-one correspondence;

[0023] If the noise reference data is less than the preset noise allowable threshold, the location where the characteristic behavior occurs is located based on the real-time image to obtain the behavior location;

[0024] Analyze the wall segment corresponding to the behavior position, and define the matching identification code as response code one;

[0025] According to the response code, the control data is output to the corresponding regulating mechanism.

[0026] Optionally, the environmental information collection mechanism further includes a wind direction and anemometer, which is installed on the wall and electrically connected to the control module, and the control module is configured as follows:

[0027] Get wind direction information and wind speed information;

[0028] If the current wind speed reaches the preset wind speed threshold, it is determined whether there is an adjacent wall segment located downwind of the wall segment corresponding to the response code 1 according to the wind direction information. If so, the identification code of the wall segment located downwind is defined as the response code 2;

[0029] The control data is output to the corresponding regulating mechanism according to the response code 2.

[0030] Optionally, the control module is configured as:

[0031] Define non-noise suppression priority time periods and optimal dust suppression control data;

[0032] Get real time;

[0033] If the current time is consistent with the non-noise suppression priority period, the video data analysis is terminated and the dust suppression optimal control data is output to the regulating mechanism.

[0034] Optionally, the control module is configured as:

[0035] Visit the designated information announcement website to identify announcement information and obtain the campus schedule and holiday arrangements;

[0036] Update and define non-noise suppression priority time periods based on work and rest schedules and holiday arrangements.

[0037] Optionally, the control module is electrically connected to a dust suppression mechanism, and the control module is configured to control the dust suppression mechanism to operate if the current time does not conform to the non-noise suppression priority period and the noise reference data is greater than a preset noise allowable threshold.

[0038] Optionally, the control module is configured as:

[0039] Get real-time weather information;

[0040] If the current weather is raining or the current time is within the T time after the rain, the dust suppression mechanism will stop working and output the preset noise reduction optimal control parameters to the regulator;

[0041] According to the current rainfall in the weather, the preset data table three is retrieved to update the T duration; the data table three records the T duration corresponding to different rainfall amounts.

[0042] Optionally, the shielding assembly includes a shielding plate, a connecting rod and an integrated plate, one end of the shielding plate is inserted into the louver hole and the other end is tilted downward or arc-shaped downward, each of the louver holes corresponds to a shielding plate, the connecting rod interconnects the laterally adjacent shielding plates, the integrated plate is vertical and fixed to the connecting rod, the adjustment mechanism includes an electric push cylinder, the telescopic direction of the electric push cylinder is parallel to the wall thickness direction, and the telescopic rod end of the electric push cylinder is fixed to the integrated plate;

[0043] The wall is hollow, and the shielding assembly also includes a vertical sealing plate, gears and an active plate. The vertical sealing plate is located on the inner side of the louver hole and above the shielding plate. The side of the vertical sealing plate facing the center of the wall is provided with a tooth structure distributed up and down. The active plate is fixed to one end of the shielding plate extending into the louver hole and extends laterally. The tooth structure is distributed on the active plate in the moving direction. The gears are rotatably connected to the wall and are in plurality. The plurality of gears link the active plate and the vertical sealing plate and make the vertical sealing plate move downward when the shielding plate moves inward.

[0044] Optionally, the integrated panel is located between two adjacent wall sections, and a rear cover shell covering the gap between the two adjacent wall sections is provided on the outer side of the wall.

[0045] Optionally, the dust suppression mechanism includes a water pipe, a nozzle and a solenoid valve. The top of the wall is set as an inclined surface and inclined toward the inner side of the wall. The water pipe is laid along the top of the wall and connected to a water source unit. The solenoid valve is installed between the water pipe and the water source unit. The nozzle is installed on the water pipe and there are multiple nozzles. The water pipe is provided with water holes distributed along the length direction and the outer ends of the water holes face the top surface of the wall.

[0046] To summarize, the present application includes the following beneficial technical effects: the camera of one of the campus security facilities can be further utilized to collect on-site images of the construction site near the campus to analyze the noise situation; if the noise is small, the shielding component is controlled to adjust the position relative to the louver hole (get closer, reduce the effective opening), thereby reducing the probability of debris entering the louver hole and improving the long-term use effect of the sound barrier structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a structural schematic diagram of the prior art;

[0048] Figure 2 It is a schematic diagram of the control structure of this application;

[0049] Figure 3 It is a partial longitudinal section structure schematic diagram of the present application;

[0050] Figure 4 It is a schematic diagram of the local structure of the shielding plate area of ​​the present application.

[0051] Explanation of the reference numerals in the accompanying drawings: 1. wall; 11. rear cover; 2. shielding assembly; 21. shielding plate; 22. connecting rod; 23. integrated board; 231. structural frame; 24. vertical sealing plate; 25. gear; 26. active board; 3. adjustment mechanism; 4. environmental information collection mechanism; 5. control module; 6. dust sensor; 7. dust suppression mechanism; 71. water pipe; 72. nozzle; 73. solenoid valve. DETAILED DESCRIPTION

[0052] The following is combined with Figure 2-3 This application is described in further detail.

[0053] An embodiment of the present application discloses an intelligent enclosure facility that integrates machine vision and data mining.

[0054] Reference Figure 2-3 The intelligent enclosure facility integrating machine vision and data mining includes a wall 1, a shielding component 2, an adjustment mechanism 3, an environmental information collection mechanism 4 and a control module 5.

[0055] The wall 1 may be a composite metal structure and in order to further reduce the influence of corrosion, an anti-rust coating is applied on the surface of the wall 1; the wall 1 is set up along the edge of the campus close to the construction site.

[0056] A plurality of louver holes are arranged in an array on the wall 1, and the opening direction of the louver holes is parallel to the thickness direction of the wall; the shielding component 2 is used to shield the ends of each louver hole facing the noise source toward the front and upward, the adjusting mechanism 3 is used to adjust the position of the shielding component 2, and the environmental information collection mechanism 4 is used to collect and output the environmental information of the side of the wall 1 facing the noise source; in this embodiment, the environmental information collection mechanism 4 includes a camera, and there are multiple cameras and they are installed on the top of the wall 1 with a bracket or installed along the construction site with a column. On the one hand, the camera is used for campus security monitoring to prevent people inside and outside the school from climbing over the wall to enter and exit the campus, and on the other hand, it is used to collect pictures of the construction site.

[0057] The control module 5 includes a control cabinet arranged near the wall 1 and a control host in the machine room. The control host is connected to the network and exchanges data with the designated cloud platform. The camera data is connected to the control host. The control cabinet is connected to the control host and used for other electrical controls. The control module 5 is configured as follows:

[0058] S1. Obtaining video data, that is, obtaining monitoring video. If the camera is a steerable camera, the monitoring video here should be the video data when the camera is rotated to face the construction site.

[0059] S2, obtaining a scene image based on the video data and performing image recognition to obtain target features and corresponding characteristic behaviors;

[0060] It can be understood that an image can be obtained by extracting frames from a video. The target features in this embodiment are construction equipment, construction personnel, and passing vehicles. The characteristic behaviors are the operating behaviors of construction equipment and the construction behaviors of construction personnel. Image recognition is a prior art and will not be described in detail.

[0061] S3. Retrieve the preset data table 1 based on the characteristic behavior to determine the matching dust reference data and noise reference data.

[0062] Among them, data table 1 records dust reference data and noise reference data corresponding to characteristic behaviors of several target features, such as: dust reference data and noise reference data when an excavator performs excavation operations.

[0063] S4. If the noise reference data is less than the preset noise allowable threshold, the louver hole adjustment process is executed, that is, when the noise at the assessment site is relatively small, the louver holes are adjusted.

[0064] The above-mentioned louver hole adjustment process includes:

[0065] S41, searching the preset data table 2 according to the dust reference data to determine the position parameters of the matching shielding component 2, wherein the data table 2 records the position parameters of the shielding component 2 (relative to the louver hole) corresponding to a number of dust reference data;

[0066] S42, generating new control data based on the position of the shielding component 2 and outputting it to the regulating mechanism 3, for example: the current position is Z1, the matching position is Z2, each pulse adjusts the position to Z3, (Z2-Z1) / Z3 is the required number of pulses.

[0067] According to the above content, this system can further utilize the camera, which is one of the campus security facilities, by collecting on-site images of the construction site near the campus to analyze the noise situation. If the noise is small, the shielding component 3 is controlled to adjust the position relative to the louver hole (closer, reducing the effective opening), thereby reducing the probability of debris entering the louver hole and improving the long-term use effect of the sound barrier structure.

[0068] According to the above content, it can be known that in the present application, the opening degree of the holes on the wall can be adjusted. The control module 5 will use the image analysis of the construction site to analyze the noise parameters and adjust the opening degree of the holes according to the noise parameters to reduce the situation where the noise is very small and the noise reduction demand is low but the holes are too large. Therefore, the present application can make the sound barrier structure better match the construction environment.

[0069] It should be noted that the reason why this application does not use noise sensors directly but analyzes noise based on image features is that the noise on the construction site is sometimes not continuous. The noise generated by pile drivers and other work is intermittent and varies in height. If it is controlled based on the feedback of noise sensors, the hole opening will be repeatedly adjusted. Analyzing noise based on image features can provide a reasonable reference data to more accurately express the noise situation based on the construction machinery and the actions of the construction machinery.

[0070] Because this system can be used not only near the construction site but also on the street, considering that the length of the wall 1 may be relatively long and may be in different directions of the campus, the wall 1 is divided into multiple sections along the direction and each section has a set of adjustment mechanisms 3 to adjust the position of the shielding component 2 on the wall section. It should be noted that a set of adjustment mechanisms 3 can be composed of multiple adjustment mechanisms 3. For example, it is impossible to have one adjustment design for a 20m wall. After all, it is difficult and costly to implement it when it is long. It is much easier to divide it into small sections and adjust each section separately.

[0071] Based on the above, the control module 5 is configured as follows:

[0072] Each group of adjustment mechanisms 3 is assigned an identification code (such as south A1, south A2, south B1, south B2), and the position range of the wall segment protection to which it belongs is defined (such as the pixel range in an image obtained from a certain viewing angle), and a one-to-one correspondence is established;

[0073] If the noise reference data is less than the preset noise allowable threshold, the location where the characteristic behavior occurs is located based on the real-time image to obtain the behavior location;

[0074] Analyze the wall segment corresponding to the behavior position (e.g., overlap with the image with pixel ranges drawn to see which pixel range it falls into), and define the matching identification code as response code 1;

[0075] The control data is output to the corresponding regulating mechanism 3 according to the response code 1.

[0076] According to the above settings, each section of the wall 1 of the system is not adjusted uniformly, but is adjusted according to the conditions of the area, so as to avoid excessive influence on the noise reduction function or unnecessary adjustment actions to reduce the service life of the equipment.

[0077] In another embodiment of the present system, the environmental information collection mechanism 4 also includes a wind direction and anemometer, which is installed on the wall 1 and electrically connected to the control module 5. There may be only one wind direction and anemometer. After all, normally the wind directions in different locations on campus should be consistent. If multiple wind direction and anemometers are installed, the data can be compared with each other to prevent errors.

[0078] The control module 5 is configured as follows:

[0079] Get wind direction information and wind speed information;

[0080] If the current wind speed reaches the preset wind speed threshold, it is determined whether there is an adjacent wall segment located downwind of the wall segment corresponding to the response code 1 according to the wind direction information. If so, the identification code of the wall segment located downwind is defined as the response code 2;

[0081] The control data is output to the corresponding regulating mechanism 3 according to the response code 2.

[0082] According to the above settings, the system will analyze the impact of environmental wind direction and wind force, and perform linkage control on the downwind wall 1 area when the wind force is strong. It should be noted that the walls corresponding to response code 2 and response code 1 should not be relative.

[0083] In another embodiment of the system, the control module 5 is configured as follows:

[0084] Define non-noise suppression priority time periods and dust suppression optimal control data (manually uploaded in advance);

[0085] Get real time (through the network);

[0086] If the current time is consistent with the non-noise suppression priority period, the video data analysis is terminated and the dust suppression optimal control data is output to the regulating mechanism 3.

[0087] In this embodiment, the non-noise suppression period is such as 10:00-18:00 on Saturdays and Sundays, because normally there are no students in school during this period; according to the above settings, the system will adjust the priority of noise reduction and reducing the entry of debris into the louver holes when students are on vacation, and make better targeted adjustments based on actual conditions.

[0088] Furthermore, the control module 5 is configured as follows:

[0089] Visit the designated information announcement website, identify the announcement information and obtain the school schedule and holiday arrangements; in addition to using fixed keyword search and extraction methods, under the premise of the current development of generative artificial intelligence, chatgpt and other artificial intelligence can be used to directly parse the announcement to obtain the schedule and holiday arrangements;

[0090] Update and define non-noise suppression priority time periods based on work and rest schedules and holiday arrangements.

[0091] According to the above settings, after applying this system, school staff only need to announce holiday notices on a specific website or connect the school's announcement website to this system, so that the system can flexibly and automatically adjust the control logic to adapt to the actual situation of the school.

[0092] In another embodiment of the system, the control module 5 is electrically connected to the dust suppression mechanism 7, and the control module 5 is configured as follows: if the current time does not conform to the non-noise suppression priority period, that is, it is in the noise suppression priority period, and the noise reference data is greater than the preset noise allowable threshold, then the dust suppression mechanism 7 is controlled to operate.

[0093] According to the above settings, during the period when the campus is in class, if the noise is relatively loud, the system will not adjust the shielding component 2, but will turn on the dust suppression mechanism 7 for processing. The dust suppression mechanism 7 can be a water spray dust suppression, which is described in another embodiment. Compared with traditional water spray dust suppression facilities, this system does not use a single water spray, but will be flexibly adjusted according to the campus and construction conditions, so relatively speaking, there is less waste.

[0094] In another embodiment of the system, the control module 5 is further configured as:

[0095] Get real-time weather information;

[0096] If the current weather is raining or the current time is within T time after the rain, the dust suppression mechanism 7 stops working and outputs the preset noise reduction optimal control parameters to the adjustment mechanism 3; wherein T is a preset value.

[0097] According to the above settings, the system will give priority to noise reduction during and after rain, and will not consider the impact of dust for the time being.

[0098] Furthermore, the control module 5 is also configured as:

[0099] According to the current rainfall in the weather, the preset data table three is retrieved to update the T duration; wherein, the data table three records the T duration corresponding to different rainfall amounts.

[0100] Reference Figure 3 and Figure 4 In another embodiment of the present application, the shielding assembly 2 includes a shielding plate 21, a connecting rod 22 and an integrated board 23, wherein one end of the shielding plate 21 penetrates into the louver hole and the other end is inclined downward or arc-shaped downward; one louver hole corresponds to one shielding plate 21. The connecting rod 22 interconnects the laterally adjacent shielding plates.

[0101] The integrated panel 23 is vertically arranged between two adjacent wall sections 1 , and a structural frame 231 is fixed on one side of the integrated panel 23 facing the inner side of the wall 1 . The connecting rod 22 at the side is fixed on the structural frame 231 to fix the plurality of shielding panels 21 and connecting rods 22 on the integrated panel 23 .

[0102] The adjustment mechanism 3 includes an electric push cylinder. Each integrated board is equipped with two electric push cylinders, and the two electric push cylinders are distributed up and down. The telescopic rods of the electric push cylinders face the inner side of the wall 1 and are fixed to the integrated board 23.

[0103] According to the above arrangement, when the effective opening of the hole needs to be reduced, the electric push cylinder is controlled to be shortened to pull the shielding plate 21 toward the inside of the wall 1; otherwise, the shielding plate 21 is pushed to move toward the outside of the wall 1.

[0104] Reference Figure 4 Due to the structure of the shielding plate 21, when it moves horizontally into the wall 1, there will be space between the upper part and the upper edge of the louver hole. Therefore, it is further configured as follows: the wall 1 is hollow, and the shielding assembly 2 also includes a vertical sealing plate 24, a gear 25 and an active plate 26.

[0105] The vertical sealing plate 24 is located on the inner side of the louver hole and above the shielding plate 21. The side of the vertical sealing plate 24 facing the center of the wall 1 is provided with a tooth structure distributed up and down. The active plate 26 is fixed to one end of the shielding plate 21 extending into the louver hole and extending horizontally. The active plate 26 is provided with a tooth structure along the moving direction. The gear 25 is rotatably connected to the wall 1 and there are multiple, such as three, three gears meshing with each other, one gear 25 meshing with the tooth structure of the active plate 26, and the other opposite gear 25 meshing with the tooth structure of the vertical sealing plate 24; this setting makes the vertical sealing plate 24 move downward when the shielding plate 21 moves inward to close the gap on the upper part of the shielding plate 21. A rubber strip is fixed at the lower part of the shielding plate 21 to increase the sealing property; the shielding plate 21 slides in the slide groove of the inner wall of the wall 1 to limit the position.

[0106] A rear cover 11 covering the gap between two adjacent wall sections is installed on the outer side of the wall 1 by welding or bolting to reduce the adverse effects of the separation between the wall sections 1. It should be noted that the above-mentioned integrated board 23 may not be provided at the corner of the wall 1.

[0107] In another embodiment of the present system, the dust suppression mechanism 7 includes a water pipe 71, a nozzle 72 and a solenoid valve 73. The water pipe 71 is laid along the top of the wall 1 and is connected to a water source unit, such as a water pump; the nozzle 72 is installed on the water pipe 71 and is preferably a water mist nozzle; the solenoid valve 73 is installed between the water pipe 71 and the water source unit and is electrically connected to the control cabinet of the control module 5.

[0108] Furthermore, the top of the wall 1 can be set as an inclined surface and inclined toward the inner side of the wall 1 , and a plurality of water-permeable holes are opened on the water pipe 71 along the length direction, and the water-permeable holes face the top surface of the wall 1 .

[0109] The above arrangement allows water to flow down from the inside of the wall 1 from top to bottom, thereby reducing noise and suppressing dust; wherein, the water-permeable holes are not directly facing the air, thus avoiding the formation of bundles of fine water columns that fail to achieve the desired effect.

[0110] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent enclosure facility integrating machine vision and data mining, characterized in that: include: A wall (1) having a plurality of louver holes arranged parallel to the thickness direction of the wall (1); A shielding component (2) is used to shield the ends of each louver hole facing the noise source toward the front and upward; An adjustment mechanism (3) for adjusting the position of the shielding component (2); An environmental information collection mechanism (4) is used to collect and output environmental information on the side of the wall (1) facing the noise source; A control module (5) electrically connected to the regulating mechanism (3) and the environmental information collecting mechanism (4); Wherein, the environmental information collection mechanism (4) comprises a camera, and the control module (5) is configured as follows: Get video data; Based on the video data, the scene image is obtained and image recognition is performed to obtain the target features and corresponding characteristic behaviors; Retrieve the preset data table 1 based on the characteristic behavior to determine the matching dust reference data and noise reference data; If the noise reference data is less than the preset noise allowable threshold, the louver hole adjustment process is executed; Wherein, the target feature at least includes construction equipment, and the data table 1 records dust reference data and noise reference data corresponding to characteristic behaviors of several target features; the louver hole adjustment process includes: Retrieving a preset data table 2 according to the dust reference data to determine the position parameters of the matching shielding component (2); the data table 2 records the position parameters of the shielding component (2) corresponding to a plurality of dust reference data; New control data is generated based on the position of the shielding component (2) and output to the regulating mechanism (3).

2. The intelligent enclosure facility integrating machine vision and data mining according to claim 1 is characterized in that: The wall (1) is divided into a plurality of sections along its direction, and each section has a set of adjustment mechanisms (3) for adjusting the position of the shielding component (2) on the corresponding wall section; The control module (5) is configured as follows: Assign identification codes to each group of regulating mechanisms (3) and define the position range of the wall segment to which they belong to protect, so as to establish a one-to-one correspondence; If the noise reference data is less than the preset noise allowable threshold, the location where the characteristic behavior occurs is located based on the real-time image to obtain the behavior location; Analyze the wall segment corresponding to the behavior position, and define the matching identification code as response code one; According to the response code 1, the control data is output to the corresponding regulating mechanism (3).

3. The intelligent enclosure facility integrating machine vision and data mining according to claim 2 is characterized in that: The environmental information collection mechanism (4) further comprises a wind direction and anemometer, wherein the wind direction and anemometer is installed on the wall (1) and is electrically connected to the control module (5), and the control module (5) is configured as follows: Get wind direction information and wind speed information; If the current wind speed reaches the preset wind speed threshold, it is determined whether there is an adjacent wall segment located downwind of the wall segment corresponding to the response code 1 according to the wind direction information. If so, the identification code of the wall segment located downwind is defined as the response code 2; The control data is output to the corresponding regulating mechanism (3) according to the response code 2.

4. The intelligent enclosure facility integrating machine vision and data mining according to claim 3 is characterized in that: The control module (5) is configured as follows: Define non-noise suppression priority time periods and optimal dust suppression control data; Get real time; If the current time is consistent with the non-noise suppression priority period, the video data analysis is terminated and the dust suppression optimal control data is output to the regulating mechanism (3).

5. The intelligent enclosure facility integrating machine vision and data mining according to claim 4 is characterized in that: The control module (5) is configured as follows: Visit the designated information announcement website to identify announcement information and obtain the campus schedule and holiday arrangements; Update and define non-noise suppression priority time periods based on work and rest schedules and holiday arrangements.

6. The intelligent enclosure facility integrating machine vision and data mining according to claim 5 is characterized in that: The control module (5) is electrically connected to a dust suppression mechanism (7), and the control module (5) is configured to control the dust suppression mechanism (7) to operate if the current time does not conform to the non-noise suppression priority period and the noise reference data is greater than a preset noise allowable threshold.

7. The intelligent enclosure facility integrating machine vision and data mining according to claim 6, characterized in that: The control module (5) is configured as follows: Get real-time weather information; If the current weather is raining or the current time is within T time after the rain, the dust suppression mechanism (7) stops working and outputs the preset noise reduction optimal control parameters to the regulator (3); According to the current rainfall in the weather, the preset data table 3 is retrieved and the T duration is updated; Data Table 3 records the T duration corresponding to different rainfall amounts.

8. The intelligent enclosure facility integrating machine vision and data mining according to claim 5, characterized in that: The shielding assembly (2) comprises a shielding plate (21), a connecting rod (22) and an integrated plate (23); one end of the shielding plate (21) penetrates into a louver hole and the other end is inclined downward or arc-shaped downward; each louver hole corresponds to a shielding plate (21); the connecting rod (22) interconnects the laterally adjacent shielding plates (21); the integrated plate (23) is vertical and fixes the connecting rod (22); the adjustment mechanism (3) comprises an electric push cylinder; the telescopic direction of the electric push cylinder is parallel to the thickness direction of the wall (1); the telescopic rod end of the electric push cylinder is fixed to the integrated plate (23); The wall (1) is hollow, and the shielding assembly (2) further comprises a vertical sealing plate (24), a gear (25) and an active plate (26); the vertical sealing plate (24) is located inside the louver hole and above the shielding plate (21); a tooth structure distributed up and down is provided on the side of the vertical sealing plate (24) facing the center of the wall (1); the active plate (26) is fixed to one end of the shielding plate (21) extending into the louver hole and extending laterally; the tooth structure is distributed on the active plate (26) along the moving direction; the gear (25) is rotatably connected to the wall (1) and is in plurality; the plurality of gears (25) link the active plate (26) and the vertical sealing plate (24) and enable the vertical sealing plate (24) to move downward when the shielding plate (21) moves inward.

9. The intelligent enclosure facility integrating machine vision and data mining according to claim 8, characterized in that: The integrated panel (23) is located between two adjacent wall sections (1), and a rear cover (11) is provided on the outer side of the wall (1) for covering the gap between the two adjacent wall sections (1).

10. The intelligent enclosure facility integrating machine vision and data mining according to claim 5, characterized in that: The dust suppression mechanism (7) comprises a water pipe (71), a nozzle (72) and a solenoid valve (73); the top of the wall (1) is arranged as an inclined surface and is inclined toward the inner side of the wall (1); the water pipe (71) is laid along the top of the wall (1) and is connected to a water source unit; the solenoid valve (73) is installed between the water pipe (71) and the water source unit; the nozzle (72) is installed on the water pipe (71) and is in plurality; the water pipe (71) is provided with water holes distributed along the length direction and the outer ends of the water holes are facing the top surface of the wall (1).

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