Water content detection system and method based on intelligent sensing technology

Abstract

The invention discloses a water content detection system based on an intelligent sensing technology and a method thereof, and relates to the technical field of intelligent sensing, the water content detection system comprises a PCB, the PCB is provided with an insulating layer and a circuit layer, the circuit layer comprises a micro-processing module, a detection module, a driving module and an image processing module, the detection module is electrically connected with a detection electrode, and the driving module is electrically connected with the image processing module. The driving module is electrically connected with a driving electrode, the image processing module is electrically connected with a camera, and the driving electrode and the detection electrode are both capacitor plates, and the method comprises the following steps: step 1, mounting and fixing, step 2, enabling the device to be close to a to-be-detected medium area, step 3, obtaining the material of the to-be-detected medium, and step 4, detecting the material of the to-be-detected medium. 4, data in the step 2 and data in the step 3 are transmitted to a micro-processing module, the PCB is provided with an insulating layer and a circuit layer, the circuit layer comprises the micro-processing module, a detection module, a driving module and an image processing module, meanwhile, the PCB and the capacitor polar plate are in space distribution, and water content detection in various occasions can be achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent sensing technology, and specifically to a moisture content detection system and method based on intelligent sensing technology. Background Technology

[0002] In existing moisture content (humidity) detection systems, intelligent sensors are used to detect the moisture content of a certain area or object. However, due to the limited application scenarios of existing humidity detection systems, which are only used in the fields of clothes dryers or robot vacuums, and their simple functions, which are only used to sense surface or deep humidity, lack spatial resolution and flexibility, the reliability of moisture content detection is reduced. Summary of the Invention

[0003] To overcome the above-mentioned shortcomings, the present invention provides a moisture content detection system and method based on intelligent sensing technology.

[0004] The present invention achieves the above objectives through the following technical solutions: A moisture content detection system based on intelligent sensing technology includes a PCB board. The PCB board has an insulating layer and a circuit layer. The circuit layer includes a microprocessor module, a detection module, a driving module, and an image processing module. The detection module is electrically connected to a detection electrode, the driving module is electrically connected to a driving electrode, and the image processing module is electrically connected to a camera. Both the driving electrode and the detection electrode are capacitor plates.

[0005] Preferably, the PCB board has an insulating layer located on one side of the circuit layer.

[0006] Preferably, the PCB board is rectangular, and the capacitor plates are arranged in a 4*4 matrix on the PCB board. The driving electrodes are respectively set in the first row (first), second row (second), third row (third), and fourth row (fourth), and the detection electrodes are respectively set in the first row (fourth), second row (first), second row (fourth), third row (first), third row (fourth), and fourth row (first).

[0007] Preferably, the PCB board is circular, the capacitor plates are arranged in a ring on the PCB board, the driving electrodes are located in the innermost first ring, the detection electrodes are located in the second and third rings, and the detection electrodes are staggered with the adjacent detection electrodes.

[0008] Preferably, the microprocessor module is electrically connected to a storage module.

[0009] A moisture content detection method based on intelligent sensing technology, as described above, includes the following steps: Step 1: Installation and Fixing. Fix the PCB board to the bottom or side wall of a device. Step 2: Place the device close to the area of ​​the medium to be tested. Connect the driving electrode to the driving module. The driving signal is an AC signal of a specific frequency. Connect the detection electrode to the detection module. The detection module is a high-impedance signal amplification circuit and includes a signal conditioning circuit. The conditioned signal is transmitted to the microprocessor module. The microprocessor module converts the detection signal into a digital signal and stores and processes it. During the test, the change in humidity of the medium above the plates will affect the change in the dielectric constant of the medium between the capacitors, thereby causing a change in capacitance. Therefore, the change in humidity of the medium above the plates can be inferred by detecting the capacitance. By using a multi-electrode, multi-channel approach and combining it with corresponding signal processing methods, the sensitivity, accuracy and stability of humidity detection can be effectively improved. Step 3: Obtain the material of the medium to be tested by capturing images of the medium through a camera; Step 4: Transmit the data from Steps 2 and 3 to the microprocessor module, which then transmits it to the central control or remote terminal to display the water content of the corresponding medium to be tested.

[0010] Preferably, in step one, the circuit layer is parallel to the bottom or side wall of the device, and the insulating layer achieves internal and external isolation and insulation of the device.

[0011] Preferably, in step two, the shape of the PCB board is selected based on the location and space of the medium to be detected.

[0012] Preferably, in step four, the formula for calculating the moisture content is as follows:

[0013] in, This represents the moisture content surrounding the area of ​​the medium being tested. This represents the humidity of the medium being tested. This is represented as the current dielectric value of the medium. This represents the dielectric value of the medium when the humidity is 0%. It is the humidity sensitivity coefficient of the corresponding material.

[0014] Preferably, the area to be detected is also equipped with a distance sensor, a temperature sensor, and a pressure sensor to obtain distance index, temperature index, and pressure index. The distance sensor, temperature sensor, and pressure sensor transmit the data to the microprocessor module through a signal processing module. The specific formula for calculating the water content around the area to be detected is as follows:

[0015] in, This represents the moisture content surrounding the area of ​​the medium being tested. Expressed as barometric pressure index, Expressed as a temperature index, Represented as a distance index, The parameters stored in the storage module are, in order, the air pressure adjustment coefficient, the temperature adjustment coefficient, the distance adjustment coefficient, and the interaction adjustment coefficient. This formula represents the parameters that affect humidity based on distance, temperature, and air pressure.

[0016] The beneficial effects of this invention are: in the moisture content detection system and method based on intelligent sensing technology, The PCB board has an insulating layer and a circuit layer. The circuit layer includes a microprocessor module, a detection module, a driving module, and an image processing module. Together with the spatial distribution between the PCB board and the capacitor plates, it can realize moisture content detection in various occasions. Step two can effectively improve the sensitivity, accuracy and stability of humidity detection by using a multi-electrode, multi-channel approach combined with appropriate signal processing methods. Step three uses a camera to acquire images of the medium to be tested, and transmits the data from steps two and three to the microprocessor module, which then transmits the data to the central control or remote terminal to display the moisture content of the medium to be tested. This enables the system to reliably detect the moisture content of materials in various situations. Attached Figure Description

[0017] The present invention will be described by way of example and with reference to the accompanying drawings, wherein: Figure 1 This is a system schematic diagram of the present invention; Figure 2 This is a schematic diagram of the capacitor plate of the present invention on a PCB board; Figure 3 This is a schematic diagram of another structure of the capacitor plate of the present invention on a PCB board. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0019] like Figure 1 As shown, a moisture content detection system based on intelligent sensing technology includes a PCB board 1. The PCB board 1 is provided with an insulating layer and a circuit layer. The circuit layer includes a microprocessor module, a detection module, a driving module and an image processing module. The detection module is electrically connected to a detection electrode 3, the driving module is electrically connected to a driving electrode 2, and the image processing module is electrically connected to a camera. Both the driving electrode 2 and the detection electrode 3 are capacitor plates.

[0020] Specifically, the PCB board 1 has an insulating layer located on one side of the circuit layer, and the microprocessor module is electrically connected to a storage module.

[0021] like Figure 2 As shown, the PCB board 1 is rectangular, and the capacitor plates are distributed in a 4*4 matrix on the PCB board 1. The driving electrodes 2 are respectively set in the first row, the second row, the third row, and the fourth row. The detection electrodes 3 are respectively set in the first row, the second row, the third row, the fourth row, the fourth row, the first row, the second row, the third row, the fourth row, and the first row. A shielding layer 4 is provided between each row of driving electrodes 2 and detection electrodes 3.

[0022] like Figure 3 As shown, the PCB board 1 is circular, and the capacitor plates are distributed in a ring on the PCB board 1. The driving electrodes 2 are located in the innermost first ring, and the detection electrodes 3 are located in the second and third rings respectively. The detection electrodes 3 are staggered with the adjacent detection electrodes 3. A shielding layer 4 is provided between each row of adjacent driving electrodes 2 and detection electrodes 3.

[0023] A moisture content detection method based on intelligent sensing technology, as described above, includes the following steps: Step 1: Installation and Fixing. Fix PCB board 1 to the bottom or side wall of a device. Step 2: Place the device close to the area of ​​the medium to be tested. The driving electrode 2 is connected to the driving module. The driving signal is an AC signal of a specific frequency. The detection electrode 3 is connected to the detection module. The detection module is a high-impedance signal amplification circuit and includes a signal conditioning circuit. The conditioned signal is transmitted to the microprocessor module. The microprocessor module converts the detection signal into a digital signal and stores and processes it. During the test, the change in humidity of the medium above the electrode plate will affect the change in the dielectric constant of the medium between the capacitors, thereby causing a change in capacitance. Therefore, the change in humidity of the medium above the electrode plate can be inferred by detecting the capacitance. By using a multi-electrode, multi-channel approach and combining it with corresponding signal processing methods, the sensitivity, accuracy and stability of humidity detection can be effectively improved. Step 3: Obtain the material of the medium to be tested by capturing images of the medium through a camera; Step 4: Transmit the data from Steps 2 and 3 to the microprocessor module, which then transmits it to the central control or remote terminal to display the water content of the corresponding medium to be tested.

[0024] Specifically, in step one, the circuit layer is parallel to the bottom or side wall of the device, and the insulating layer achieves internal and external isolation and insulation of the device.

[0025] Specifically, in step two, the shape of PCB board 1 is selected based on the location and space of the medium area to be detected.

[0026] Specifically, in step four, the formula for calculating the moisture content is as follows:

[0027] in, This represents the moisture content surrounding the area of ​​the medium being tested. This represents the humidity of the medium being tested. This is represented as the current dielectric value of the medium. This represents the dielectric value of the medium when the humidity is 0%. It is the humidity sensitivity coefficient of the corresponding material.

[0028] Specifically, the area to be detected is also equipped with a distance sensor, a temperature sensor, and a pressure sensor to obtain distance index, temperature index, and pressure index. The specific formula for calculating the water content around the area to be detected is as follows:

[0029] in, This represents the moisture content surrounding the area of ​​the medium being tested. Expressed as barometric pressure index, Expressed as a temperature index, Represented as a distance index, The parameters stored in the storage module are, in order, the air pressure adjustment coefficient, the temperature adjustment coefficient, the distance adjustment coefficient, and the interaction adjustment coefficient. This formula represents the parameters that affect humidity based on distance, temperature, and air pressure.

[0030] Specific implementation case 1: Application Background This technology addresses the problems of traditional soil moisture sensors, such as low single-point measurement accuracy, susceptibility to environmental interference (temperature, air pressure), and inability to adapt to complex soil types, enabling precision irrigation in smart agriculture. System Configuration Core sensing module: PCB board: circular structure (5cm in diameter) to facilitate vertical burial in the soil and reduce physical disturbance to the root system; Electrode design: driving electrodes (4 in an inner ring) and detection electrodes (8 in two staggered outer rings) to improve spatial resolution; Auxiliary sensors: temperature (DS18B20), air pressure (BMP280), ultrasonic distance sensor (to detect the thickness of ground cover); Image module: Miniature waterproof camera (identifies soil color and vegetation type to help determine soil texture).

[0031] Implementation steps: 1. Installation and fixing: Bury the PCB board into the farmland monitoring point (20cm deep), with the circuit layer parallel to the ground and the insulation layer facing outward to prevent water seepage.

[0032] 2. Capacitance testing: The drive module outputs a 10kHz sine wave signal to the drive electrode. Changes in soil moisture cause changes in dielectric constant. The detection electrode collects the capacitance signal (which is amplified, conditioned, and then converted into a digital value by the STM32 microprocessor). 3. Multi-parameter fusion: Combination temperature air pressure Cover thickness Calculate the water content using the formula

[0033] Data transmission: The LoRa module uploads data to the IoT platform to generate irrigation decision recommendations.

[0034] This moisture content detection method based on intelligent sensing technology enables the measurement of regional average humidity through a multi-electrode layout, reducing single-point errors. At the same time, the image recognition and environmental compensation algorithm controls the measurement error within ±2% RH. Implementation Case 2: Clothes Dryer Wet / Dry Sensing System Application Background This technology addresses the issues of over-drying or under-drying caused by traditional dryers that rely on timed control, by improving drying efficiency through material identification and dynamic humidity monitoring.

[0035] System Configuration Core sensing module: PCB board: rectangular structure (10cm×8cm), embedded in the inner wall of the dryer drum; Electrode design: 4×4 matrix electrodes (4 driving electrodes and 12 detection electrodes), with shielding layer isolation to reduce crosstalk; Image and AI module: High-temperature resistant wide-angle camera + TensorFlow Lite Micro lightweight model (identifies clothing materials: cotton, chemical fiber, wool, etc.).

[0036] Implementation steps 1. Dynamic detection: The driving electrode emits a 1MHz high-frequency signal, and the detection electrode captures the capacitance change (reflecting the moisture content) when the clothes are tumbling. The high-impedance circuit extracts the weak signal. 2. Material recognition: The camera captures images of clothing, and the AI ​​model classifies the materials and retrieves the corresponding humidity sensitivity coefficient; 3. Moisture content calculation: Calculate the humidity of clothing using a formula.

[0037] Intelligent control: When the average moisture content is less than 5%, heating will automatically stop and the APP will push a "drying complete" notification.

[0038] This moisture content detection method based on intelligent sensing technology can automatically identify materials and dynamically scan to adapt to the rolling state of clothes, avoiding misjudgment; compared with traditional timed control, it saves 30% energy and reduces damage to clothes. Implementation Case 3: Building Wall Moisture-Proof Health Monitoring System Application Background To address issues such as water seepage and mold growth in the walls of old buildings, a non-invasive, long-term monitoring system can be implemented to prevent structural deterioration (such as wall peeling and steel reinforcement corrosion).

[0039] System Configuration Core sensing module: PCB board: Rectangular flexible structure (15cm×10cm), surface adhesive mounting (with insulating adhesive layer, adaptable to wall curvature). Electrodes and sensors: 4×4 matrix electrodes (with grounding shielding layer to resist electromagnetic interference), temperature and humidity (SHT35), air pressure (BME280), acceleration sensor (to eliminate vibration interference); Communication module: Wi-Fi + Zigbee dual-mode (data is stored locally at the gateway, and an alarm is triggered when an anomaly occurs).

[0040] Implementation steps 1. Installation and calibration: Attach the PCB board to a key area of ​​the wall (such as the back wall of the bathroom or kitchen) and initially collect the dielectric constant under dry conditions; 2. Periodic detection: Start once per hour, apply a 1kHz low-frequency signal (penetrating 5cm through the wall surface) to the driving electrode, and collect capacitance changes on the detection electrode; 3. Environmental compensation and early warning: Based on the ambient temperature, humidity, and air pressure, the dielectric value is corrected. When the moisture content is >15% (the critical value for mold growth on the wall), the local gateway triggers an audible and visual alarm and sends a notification to the property management system. 4. Image-assisted calibration: The mobile APP periodically scans the code to trigger the camera to take pictures of the wall, and AI compares the color changes (such as "local blackening → suspected water seepage").

[0041] This moisture content detection method based on intelligent sensing technology enables non-invasive installation that avoids damage to the wall structure, making it suitable for the preservation of historical buildings; long-term monitoring of multiple parameters enables moisture-proof early warning and reduces maintenance costs.

[0042] Based on the above description, those skilled in the art can make various changes and modifications without departing from the technical concept of this invention. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A moisture content detection system based on intelligent sensing technology, comprising a PCB board, characterized in that: The PCB board has an insulating layer and a circuit layer. The circuit layer includes a microprocessor module, a detection module, a driving module, and an image processing module. The detection module is electrically connected to a detection electrode, the driving module is electrically connected to a driving electrode, and the image processing module is electrically connected to a camera. Both the driving electrode and the detection electrode are capacitor plates.

2. The moisture content detection system based on intelligent sensing technology according to claim 1, characterized in that: The PCB board has an insulating layer located on one side of the circuit layer.

3. The moisture content detection system based on intelligent sensing technology according to claim 1, characterized in that: The PCB board is rectangular, and the capacitor plates are arranged in a 4*4 matrix on the PCB board. The driving electrodes are respectively set in the first row, the second row, the third row, and the fourth row. The detection electrodes are respectively set in the first row, the second row, the second row, the third row, the fourth row, and the fourth row.

4. The moisture content detection system based on intelligent sensing technology according to claim 1, characterized in that: The PCB board is circular, and the capacitor plates are arranged in a ring on the PCB board. The driving electrodes are located in the innermost first ring, and the detection electrodes are located in the second and third rings, and the detection electrodes are staggered with the adjacent detection electrodes.

5. The moisture content detection system based on intelligent sensing technology according to claim 1, characterized in that: The microprocessor module is electrically connected to the storage module.

6. A method for detecting moisture content based on intelligent sensing technology according to any one of claims 1-5, characterized in that: Includes the following steps: Step 1: Installation and Fixing. Fix the PCB board to the bottom or side wall of a device. Step 2: Place the device close to the area of ​​the medium to be detected. Connect the driving electrode to the driving module. The driving signal is an AC signal of a specific frequency. Connect the detection electrode to the detection module. The detection module is a high-impedance signal amplification circuit and includes a signal conditioning circuit. The conditioned signal is transmitted to the microprocessor module. The microprocessor module converts the detection signal into a digital signal and stores and processes it. Step 3: Obtain the material of the medium to be tested by capturing images of the medium through a camera; Step 4: Transmit the data from Steps 2 and 3 to the microprocessor module, which then transmits it to the central control or remote terminal to display the water content of the corresponding medium to be tested.

7. The moisture content detection system and method based on intelligent sensing technology according to claim 6, characterized in that: In step one, the circuit layer is parallel to the bottom or side wall of the device, and the insulating layer achieves internal and external isolation and insulation of the device.

8. The moisture content detection system and method based on intelligent sensing technology according to claim 6, characterized in that: In step two, the shape of the PCB board is selected based on the location and space of the medium to be detected.

9. The moisture content detection system and method based on intelligent sensing technology according to claim 6, characterized in that: In step four, the formula for calculating the water content is as follows: in, This represents the moisture content surrounding the area of ​​the medium being tested. This represents the humidity of the medium being tested. This is represented as the current dielectric value of the medium. This represents the dielectric value of the medium when the humidity is 0%. It is the humidity sensitivity coefficient of the corresponding material.

10. The moisture content detection system and method based on intelligent sensing technology according to claim 9, characterized in that: The area to be detected is also equipped with a distance sensor, a temperature sensor, and a pressure sensor to obtain distance index, temperature index, and pressure index. The specific formula for calculating the water content around the area to be detected is as follows: in, This represents the moisture content surrounding the area of ​​the medium being tested. Expressed as barometric pressure index, Expressed as a temperature index, Represented as a distance index, The parameters are, in order, the air pressure adjustment coefficient, temperature adjustment coefficient, distance adjustment coefficient, and interaction adjustment coefficient stored in the storage module.

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