Multi-parameter dust monitor integrated with AI intelligent identification
By integrating AI-powered intelligent recognition into a multi-parameter dust monitor, and utilizing camera and sensor components for environmental monitoring, the problem of real-time dust concentration monitoring in existing technologies has been solved. This enables real-time monitoring of dust types and multiple parameters, improving monitoring accuracy and comprehensiveness.
Patent Information
- Application Number
- CN202422538480.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-21
- Publication Date
- 2025-11-11
- Estimated Expiration
- 2034-10-21
AI Technical Summary
Existing technologies cannot monitor dust concentration in the environment in real time, nor can they effectively identify various types of dust and pollutants.
The multi-parameter dust monitor, which integrates AI intelligent recognition, acquires environmental images through a camera, performs image processing and analysis using a controller and motherboard, and combines laser scattering dust sensor, gas sensor, temperature sensor and humidity sensor for real-time monitoring.
It enables real-time monitoring of the number and concentration of dust in the environment, automatically identifies various dust types and pollutants, and monitors multiple parameters such as temperature and humidity in real time, thus improving the accuracy and comprehensiveness of monitoring.
Smart Images

Figure CN223538718U_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of dust monitoring equipment, and in particular discloses a multi-parameter dust monitor with integrated AI intelligent recognition. Background Technology
[0002] With the acceleration of industrialization and the continuous improvement of urbanization, environmental pollution problems have become increasingly prominent, especially air pollution, which poses a growing threat to people's health and safety. Although environmental protection departments have introduced a series of regulatory measures and regulations, the emission of environmental pollutants such as dust remains an unavoidable problem in daily production and life. In order to effectively control dust pollution, real-time monitoring and analysis of the environment are necessary.
[0003] Current environmental monitoring methods involve weighing dust samples and then calculating their concentration. This method cannot monitor dust concentration in the environment in real time. Utility Model Content
[0004] In order to monitor the dust concentration in the environment in real time, this application provides a multi-parameter dust monitor with integrated AI intelligent recognition.
[0005] This application provides a multi-parameter dust monitor with integrated AI intelligent recognition, which adopts the following technical solution:
[0006] A multi-parameter dust monitor integrating AI intelligent recognition includes a housing, a camera, a sensor assembly, a wireless terminal device, a controller, a motherboard, and a display screen. The camera is connected to the controller, the sensor assembly is connected to the wireless terminal device, the wireless terminal device is connected to the controller, the controller is connected to the motherboard, and the motherboard is connected to the display screen. The camera is fixed to the top of the housing, and the sensor assembly, wireless terminal device, controller, motherboard, and display screen are installed inside the housing.
[0007] By adopting the above technical solution, images of the environment are acquired through a camera, and the images are processed and analyzed by a controller and motherboard, thereby realizing real-time monitoring of the number and concentration of dust in the environment. It can automatically identify various types of dust and pollutants, and through sensor components, wireless terminal devices, controllers and motherboards, multiple parameters such as temperature and humidity can be monitored in real time.
[0008] Optionally, the sensor assembly includes a laser scattering dust sensor, a gas sensor, a temperature sensor, and a humidity sensor.
[0009] By adopting the above technical solutions, the laser scattering dust sensor can accurately detect fine particulate matter such as PM2.5 and PM10 in the atmosphere, the gas sensor is used to detect harmful gases such as VOC and CO2 in the atmosphere, the temperature sensor is used to detect the temperature in the air, and the humidity sensor is used to detect the humidity in the air.
[0010] Optionally, the housing includes a shell and a first door panel. The sensor assembly, wireless terminal device, controller, and motherboard are installed inside the shell. An opening is provided on one side of the shell. The first door panel is rotatably connected to the opening of the shell. The display screen is installed on the first door panel.
[0011] By adopting the above technical solution, it is convenient to install sensor components, wireless terminal equipment and controllers.
[0012] Optionally, the housing may further include a second door panel, which is fixed to the opening of the housing.
[0013] By adopting the above technical solution, the second door panel can protect the display screen, reduce damage to the display screen from the external environment, and extend the service life of the display screen.
[0014] Optionally, the second door panel has an observation opening on the outside of the display screen, and a transparent plate is fixed to the observation opening of the second door panel.
[0015] By adopting the above technical solution, staff can observe the data displayed on the screen through a transparent panel, making it easier for them to quickly understand the monitoring results of the dust monitor.
[0016] Optionally, the sensor assembly and the wireless terminal device are fixed to the housing by a fixing assembly, which includes a first U-shaped plate and a second U-shaped plate, the first U-shaped plate and the second U-shaped plate being perpendicular to each other, and both the first U-shaped plate and the second U-shaped plate being fixed inside the housing by bolts.
[0017] By adopting the above technical solution, the sensor assembly and wireless terminal equipment can be fixed to the housing by the fixing group, and the first U-shaped plate and the second U-shaped plate can be removed by removing the bolts, so as to disassemble the sensor assembly and the wireless terminal equipment.
[0018] In summary, this application includes at least one of the following beneficial technical effects:
[0019] 1. By acquiring images of the environment through a camera, and processing and analyzing the images using a controller and motherboard, real-time monitoring of the number and concentration of dust in the environment can be achieved. It can automatically identify various types of dust and pollutants. Moreover, through sensor components, wireless terminal devices, controllers, and motherboards, multiple parameters such as temperature and humidity can be monitored in real time.
[0020] 2. Laser scattering dust sensors can accurately detect fine particulate matter such as PM2.5 and PM10 in the atmosphere; gas sensors are used to detect harmful gases such as VOCs and CO2 in the atmosphere; temperature sensors are used to detect the temperature in the air; and humidity sensors are used to detect the humidity in the air.
[0021] 3. A fixing assembly is provided inside the housing, which can fix the sensor assembly and the wireless terminal device to the housing through the fixing assembly. At the same time, the first U-shaped plate and the second U-shaped plate can be removed by removing the bolts, so as to disassemble the sensor assembly and the wireless terminal device. Attached Figure Description
[0022] Figure 1 This is a schematic diagram of the overall structure of this application.
[0023] Explanation of reference numerals in the attached drawings: 1. Outer shell; 11. Housing; 12. First door panel; 13. Second door panel; 14. Transparent panel; 2. Camera; 3. Sensor assembly; 4. Wireless terminal device; 5. Controller; 6. Mainboard; 7. Display screen; 8. Fixing assembly; 81. First U-shaped plate; 82. Second U-shaped plate. Detailed Implementation
[0024] The following is in conjunction with the appendix Figure 1 This application will be described in further detail.
[0025] This application discloses a multi-parameter dust monitor integrating AI intelligent recognition. (Refer to...) Figure 1 A multi-parameter dust monitor integrating AI intelligent recognition includes a housing 1, a camera 2, a sensor assembly 3, a wireless terminal device 4, a controller 5, a motherboard 6, a display screen 7, and a fixing assembly 8. The camera 2 is connected to the controller 5, the sensor assembly 3 is connected to the wireless terminal device 4, the wireless terminal device 4 is connected to the controller 5, the controller 5 is connected to the motherboard 6, and the motherboard 6 is connected to the display screen 7. The camera 2 acquires images of the environment, and the controller 5 and motherboard 6 process and analyze these images to achieve real-time monitoring of the number and concentration of dust particles in the environment. It can automatically identify various dust types and pollutants. Furthermore, the sensor assembly 3, wireless terminal device 4, controller 5, and motherboard 6 can monitor multiple parameters such as temperature and humidity in real time.
[0026] Reference Figure 1 The outer casing 1 includes a housing 11, a first door panel 12, and a second door panel 13. An opening is provided on one side of the housing 11. One side of the first door panel 12 is rotatably connected to the opening of the housing 11 via a hinge, and the opposite side of the first door panel 12 is fixed to the opening of the housing 11 by bolts. The second door panel 13 is fixed to the opening of the housing 11 by bolts, and the second door panel 13 is located outside the first door panel 12.
[0027] Reference Figure 1 The camera 2 is fixedly mounted on the upper surface of the housing 11 with bolts. The sensor assembly 3 includes a laser scattering dust sensor, a gas sensor, a temperature sensor, and a humidity sensor. The laser scattering dust sensor can accurately detect fine particulate matter such as PM2.5 and PM10 in the atmosphere, the gas sensor is used to detect harmful gases such as VOCs and CO2 in the atmosphere, the temperature sensor is used to detect the temperature in the air, and the humidity sensor is used to detect the humidity in the air.
[0028] Reference Figure 1 The sensor assembly 3 and the wireless terminal device 4 are fixed to the inner side of the housing 11 by a fixing assembly 8, which includes a first U-shaped plate 81 and a second U-shaped plate 82. The first U-shaped plate 81 and the second U-shaped plate 82 are perpendicular to each other, and both the first U-shaped plate 81 and the second U-shaped plate 82 are fixed inside the housing 11 by bolts. This achieves the fixation of the sensor assembly 3 and the wireless terminal device 4. The controller 5 and the main board 6 are fixed to the inner side of the housing 11 by bolts. The display screen 7 is fixed to the first door panel 12.
[0029] Reference Figure 1 The second door panel 13 has an observation port on the outside of the display screen 7. A transparent plate 14 is fixed to the observation port of the second door panel 13. In this embodiment, the transparent plate 14 is a transparent glass plate. The staff can observe the data displayed on the display screen 7 through the transparent plate 14, which makes it convenient for the staff to quickly understand the monitoring results of the dust monitor.
[0030] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.
Claims
1. A multi-parameter dust monitor integrating AI intelligent recognition, characterized in that: The device includes a housing (1), a camera (2), a sensor assembly (3), a wireless terminal device (4), a controller (5), a motherboard (6), and a display screen (7). The camera (2) is connected to the controller (5), the sensor assembly (3) is connected to the wireless terminal device (4), the wireless terminal device (4) is connected to the controller (5), the controller (5) is connected to the motherboard (6), and the motherboard (6) is connected to the display screen (7). The camera (2) is fixed on the top of the housing (1), and the sensor assembly (3), the wireless terminal device (4), the controller (5), the motherboard (6), and the display screen (7) are installed inside the housing (1).
2. The multi-parameter dust monitor integrating AI intelligent recognition according to claim 1, characterized in that: The sensor assembly (3) includes a laser scattering dust sensor, a gas sensor, a temperature sensor, and a humidity sensor.
3. The multi-parameter dust monitor integrating AI intelligent recognition according to claim 1, characterized in that: The outer casing (1) includes a housing (11) and a first door panel (12). The sensor assembly (3), wireless terminal device (4), controller (5) and motherboard (6) are installed inside the housing (11). An opening is provided on one side of the housing (11). The first door panel (12) is rotatably connected to the opening of the housing (11). The display screen (7) is installed on the first door panel (12).
4. A multi-parameter dust monitor integrating AI intelligent recognition according to claim 3, characterized in that: The outer casing (1) also includes a second door panel (13), which is fixed to the opening of the casing (11).
5. A multi-parameter dust monitor integrating AI intelligent recognition according to claim 4, characterized in that: The second door panel (13) has an observation opening on the outside of the display screen (7), and a transparent plate (14) is fixed at the observation opening of the second door panel (13).
6. A multi-parameter dust monitor integrating AI intelligent recognition according to claim 3, characterized in that: The sensor assembly (3) and the wireless terminal device (4) are fixed to the housing (11) by a fixing assembly (8). The fixing assembly (8) includes a first U-shaped plate (81) and a second U-shaped plate (82). The first U-shaped plate (81) and the second U-shaped plate (82) are perpendicular to each other, and both the first U-shaped plate (81) and the second U-shaped plate (82) are fixed inside the housing (11) by bolts.