Coupling conductivity and wind pressure monitoring air conditioner filter screen and sewage blockage detection method and device

Abstract

The invention discloses an air conditioner filter screen for coupling conductivity and wind pressure monitoring and a sewage blockage detection method and device, the air conditioner filter screen is embedded into an air conditioner exhaust pipe, and the air conditioner filter screen comprises a filter screen shell, a filter screen body, an electrode plate, a strain sensor and an accessory circuit element; the filter screen body is fixed on the inner side of the filter screen shell; the electrode plate is arranged in the hollow interior of the filter screen shell, and the accessory circuit element is arranged on the outer side of the filter screen shell; the filter screen body comprises a filter screen base material and conductive fibers, and the conductive fibers and the filter screen base material are tightly connected in a plain weaving mode; the electrode plate is respectively connected with the conductive fiber and the accessory circuit element and is used for monitoring the conductivity of the filter screen in real time; the strain sensor is arranged on the air outlet side of the filter screen body, connected with the accessory circuit element and used for monitoring the air pressure of the rear side of the air conditioner filter screen in real time. The conductivity and the filter screen rear side wind pressure data are comprehensively processed through a neural network model, and a filter screen pollution blocking degree index is output; according to the method, the filter screen pollution blocking degree is comprehensively evaluated from different angles, and the detection accuracy and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and more particularly to an air conditioning filter screen coupled with conductivity and wind pressure monitoring, and a fouling detection method and device. Background Art

[0002] A split air conditioner is a common air conditioning system, which consists of an indoor unit and an outdoor unit, which are connected by copper pipes and cables. The indoor unit is responsible for the circulation and regulation of the air, while the outdoor unit contains a compressor and a condenser, which is responsible for the compression and condensation of the refrigerant. In actual applications, after a split air conditioner has been used for a period of time, the amount of dust attached to the filter increases. The long-term accumulation of dust will affect the heat exchange efficiency of the air conditioner, increase energy consumption, and become a breeding ground for bacteria and mold, affecting the indoor air quality.

[0003] There are currently many methods for detecting clogging of split-type air conditioner filters, but clogging detection technology still cannot accurately determine the time to replace the filter, and it is difficult to save the labor cost of cleaning the filter to the greatest extent.

[0004] As the filter accumulates dust, its conductivity changes, and the initial conductivity of the filter material affects the change in conductivity when dust accumulates. When the filter material itself has a higher conductivity, the accumulation of dust will more obviously affect the conductivity. On the contrary, when the initial conductivity of the filter material is low, the accumulation of dust has less effect on the conductivity. The humidity in the environment will also affect the conductivity of the filter. In a high humidity environment, dust will absorb moisture, thereby increasing its conductivity, which will increase the conductivity of the filter. Therefore, it is necessary to solve the problem of how to monitor the conductivity when dust accumulates.

[0005] In addition, when the filter is clean, the resistance to air flow is small, and the wind pressure and air volume will remain at normal levels. However, when the filter accumulates a lot of dust and dirt, the resistance to air flow increases, causing the wind pressure to drop. Even if the conductivity shows that the filter has begun to accumulate dust, if the wind pressure has not changed significantly, it may indicate that the degree of blockage is not serious. On the contrary, if the wind pressure drops significantly, even if the conductivity does not change much, it may mean that the airflow channel of the filter has been seriously affected.

[0006] Therefore, how to provide an air conditioning filter and blockage detection method and device that couples conductivity and wind pressure monitoring to more reasonably judge the degree of blockage of the air conditioning filter and improve the accuracy and reliability of air conditioning filter blockage detection is a problem that technical personnel in this field urgently need to solve. Summary of the invention

[0007] In view of this, the present invention provides an air conditioning filter coupled with conductivity and wind pressure monitoring, a fouling detection method and a device to solve some of the technical problems mentioned in the background technology.

[0008] In order to achieve the above object, the present invention adopts the following technical solution:

[0009] An air conditioning filter coupled with conductivity and wind pressure monitoring, embedded in an air conditioning exhaust pipe, comprises: a filter housing, a filter mesh body, an electrode sheet, a strain sensor and an auxiliary circuit element;

[0010] The filter mesh is fixed to the inner side of the filter housing; the electrode sheet is arranged in the hollow interior of the filter housing, and the auxiliary circuit element is arranged on the outer side of the filter housing;

[0011] The filter mesh body includes a filter base material and conductive fibers, and the conductive fibers and the filter base material are tightly connected by plain weaving;

[0012] The electrode sheets are respectively connected to the conductive fibers and the auxiliary circuit elements to monitor the conductivity of the filter in real time;

[0013] The strain sensor is arranged on the air outlet side of the filter mesh and connected to the auxiliary circuit elements to monitor the wind pressure behind the air conditioning filter in real time.

[0014] Preferably, the auxiliary circuit element includes a filter conductivity measurement circuit model;

[0015] The filter conductivity measurement circuit model includes a four-electrode sensor, a first constant current source, a first operational amplifier, a first analog-to-digital converter, and a first microcontroller;

[0016] The four-electrode sensor includes two current electrodes and two voltage electrodes, the current electrodes are used to apply current, and the voltage electrodes are used to measure voltage; a first constant current source is configured to provide a stable current through the filter for the four-electrode sensor; a first operational amplifier is used to amplify the tiny voltage signal detected by the voltage electrode; a first analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and a first microcontroller is used to calculate conductivity.

[0017] Preferably, the auxiliary circuit element further includes a circuit model for measuring wind pressure after the filter;

[0018] The wind pressure measurement circuit model after the filter includes a second constant current source, a second operational amplifier, a second analog-to-digital converter and a second microcontroller;

[0019] The second constant current source is used to provide a stable current for the strain sensor; the strain sensor is used to output a voltage signal, and the second operational amplifier is used to amplify the tiny voltage signal of the strain sensor; the second analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and the second microcontroller is configured to calculate the wind pressure on the rear side of the air conditioning filter.

[0020] Preferably, the filter conductivity measurement circuit model and the post-filter wind pressure measurement circuit model both further include circuit protection related devices.

[0021] A method for detecting air conditioning filter blockage by coupling conductivity and wind pressure monitoring, comprising:

[0022] Using the air conditioning filter to obtain filter conductivity and air conditioning filter rear side wind pressure data;

[0023] The obtained filter conductivity and air conditioning filter rear side wind pressure data are pre-processed by denoising and normalization, input into the trained neural network model, and output the filter fouling degree data;

[0024] Determine whether the filter needs to be cleaned or replaced based on the filter blockage degree data.

[0025] Preferably, the neural network model training process is specifically as follows:

[0026] In the laboratory simulation of the use of air-conditioning exhaust ducts, the process from filter cleaning to filter clogging is simulated, and the corresponding conductivity, wind pressure and clogging degree data are recorded; a neural network model is constructed, with conductivity data and wind pressure data as the input layer, and clogging degree data as the output layer. The clogging degree data is set to 0 and 1, 0 means no cleaning is required, and 1 means a high degree of clogging and cleaning is required. An activation function is selected in the hidden layer, and the weights are continuously updated through multiple iterations until the learning results of the neural network are basically consistent with the experimental results.

[0027] Preferably, the air conditioning filter clogging detection method coupled with conductivity and wind pressure monitoring also includes: using charts, progress bars or indicator lights to display the filter clogging status in real time and taking corresponding measures; when the filter needs to be cleaned or replaced, notifying the user through sound, vibration or visual prompts; user-defined alarm thresholds and notification settings; historical data viewing function.

[0028] An air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring, comprising the air conditioning filter and a computer;

[0029] The air conditioning filter transmits the filter conductivity and the wind pressure behind the air conditioning filter obtained in real time to the computer;

[0030] The computer is used to couple the filter conductivity and the air conditioning filter rear side wind pressure data to input the trained neural network model and output the filter fouling degree data.

[0031] Preferably, the computer includes a data acquisition module, a preprocessing module, a model building module and a model training module.

[0032] Preferably, the air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring also includes a user display interface for real-time display of the filter clogging status, prompting and notifying the user, user-defined alarm thresholds and notification settings, and historical data viewing.

[0033] It can be seen from the above technical scheme that compared with the prior art, the present invention discloses an air-conditioning filter, a clogging detection method and a device that couples conductivity and wind pressure monitoring, and monitors the filter status of the air-conditioning filter with conductive fibers added in real time, so as to timely discover and deal with clogging problems, maintain efficient operation of the air conditioner, and improve air-conditioning efficiency; the measurement of conductivity is combined with the measurement of outlet wind pressure, and the change in conductivity provides direct information about the surface condition of the filter, while the change in wind pressure reflects the impact of filter clogging on the performance of the entire air-conditioning system, and comprehensively evaluates the degree of filter clogging from different angles. The two types of data confirm each other, and the accuracy and reliability of air-conditioning filter clogging detection are conducive to promoting energy conservation and emission reduction and green and low-carbon circular development, which is in line with the goals of the comprehensive work plan for energy conservation and emission reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0035] Figure 1 A schematic front view of an air conditioning filter structure coupled with conductivity and wind pressure monitoring provided by the present invention;

[0036] Figure 2 A schematic side view of an air conditioning filter structure for coupled conductivity and wind pressure monitoring provided by the present invention;

[0037] Figure 3 A schematic diagram of the installation of the air conditioning filter provided by the present invention;

[0038] Figure 4 A schematic diagram of an air conditioning filter clogging detection method coupled with conductivity and wind pressure monitoring provided by the present invention;

[0039] Figure 5 The algorithm flow chart of the air conditioner filter clogging detection method provided by the present invention;

[0040] Figure 6 A schematic diagram of a neural network model for the air conditioning filter clogging detection method provided by the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] The embodiment of the present invention discloses an air conditioning filter coupled with conductivity and wind pressure monitoring, which is embedded in the air conditioning exhaust pipe, such as Figure 1 and Figure 2 As shown, it includes: a filter housing, a filter mesh body, an electrode sheet, a strain sensor and auxiliary circuit components;

[0043] The filter mesh is fixed to the inner side of the filter housing; the electrode sheet is arranged in the hollow interior of the filter housing, and the auxiliary circuit element is arranged on the outer side of the filter housing;

[0044] The filter mesh body includes a filter base material and conductive fibers, and the conductive fibers and the filter base material are tightly connected by plain weaving;

[0045] The electrode sheets are respectively connected to the conductive fibers and the auxiliary circuit elements to monitor the conductivity of the filter in real time;

[0046] The strain sensor is arranged on the air outlet side of the filter mesh and connected to the auxiliary circuit elements to monitor the wind pressure behind the air conditioning filter in real time.

[0047] In practical applications, the middle section of the exhaust pipe is composed of a series of bayonet joints, such as Figure 3 As shown, an air conditioning filter of appropriate size can be firmly embedded in one of the bayonet openings without the need for additional fixing devices. Since the air conditioning exhaust pipe is generally made of plastic that allows a certain degree of deformation, the filter can be inserted into the bayonet even if the filter size is slightly larger than the smallest diameter of the bayonet opening, without the need for additional design.

[0048] The filter shell is made of silicone to keep the filter mesh flat and provide attachment sites for circuit components such as electrodes and sensors. At the same time, because the filter shell can recover to its original shape within a certain degree of deformation, it can be curled up for easy placement in the exhaust pipe. The filter shell is designed to be suitable for embedding into the exhaust pipe bayonet size. If it is too large, it will be difficult to embed the air conditioning filter into the exhaust pipe. If it is too small, the air conditioning filter will be easily affected by the exhaust and swing, affecting the operation of circuit components such as strain sensors.

[0049] The auxiliary circuit components are housed in a square plastic shell and adhered to the side of the filter shell by adhesive; the strain sensor is installed on the filter mesh body on the air outlet side, that is, the filter mesh body close to the exhaust pipe outlet side.

[0050] To further implement the above technical solution, the auxiliary circuit elements include a filter conductivity measurement circuit model;

[0051] The filter conductivity measurement circuit model includes a four-electrode sensor, a first constant current source, a first operational amplifier, a first analog-to-digital converter, and a first microcontroller;

[0052] The four-electrode sensor includes two current electrodes and two voltage electrodes, the current electrodes are used to apply current, and the voltage electrodes are used to measure voltage; a first constant current source is configured to provide a stable current through the filter for the four-electrode sensor; a first operational amplifier is used to amplify the tiny voltage signal detected by the voltage electrode; a first analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and a first microcontroller is used to calculate conductivity.

[0053] In order to further implement the above technical solution, the auxiliary circuit element also includes a circuit model for measuring wind pressure after the filter;

[0054] The wind pressure measurement circuit model after the filter includes a second constant current source, a second operational amplifier, a second analog-to-digital converter and a second microcontroller;

[0055] The second constant current source is used to provide a stable current for the strain sensor; the strain sensor is used to output a voltage signal, and the second operational amplifier is used to amplify the tiny voltage signal of the strain sensor; the second analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and the second microcontroller is configured to calculate the wind pressure on the rear side of the air conditioning filter.

[0056] In this embodiment, an operational amplifier with high input impedance and low noise, such as an instrumentation amplifier, is selected to improve measurement accuracy; a microcontroller is used to calculate conductivity and perform other tasks as needed, such as controlling a filter cleaning system or sending data to a user interface.

[0057] In order to further implement the above technical solution, the filter conductivity measurement circuit model and the post-filter wind pressure measurement circuit model also include circuit protection related devices, specifically: using TVS diodes to protect the circuit from overvoltage damage; using ESD diodes to prevent electrostatic discharge from damaging sensitive components.

[0058] In this embodiment, stainless steel fiber is selected as the conductive fiber added to the filter mesh, non-woven fabric is selected as the base material of the filter, and a series of electrode sheets are designed on the edge of the filter. The electrodes are not only used to monitor the conductivity of the filter in real time, but also connected to high-precision sensors, providing a solid foundation for subsequent data collection and analysis. The stainless steel conductive fiber and the non-woven fabric are tightly connected by plain weaving. The stainless steel fiber strips used in the actual weaving are thinner than the non-woven fabric strips. Figure 3 Medium fine, the weave will be tighter, Figure 3 The medium and thin strips are thicker to show the weaving method.

[0059] A method for detecting air conditioning filter blockage by coupling conductivity and wind pressure monitoring, such as Figure 4 and Figure 5 As shown, including:

[0060] Use the air conditioning filter to obtain the filter conductivity and the wind pressure data behind the air conditioning filter;

[0061] The obtained filter conductivity and air conditioning filter rear side wind pressure data are pre-processed by denoising and normalization, input into the trained neural network model, and output the filter fouling degree data;

[0062] Determine whether the filter needs to be cleaned or replaced based on the filter blockage degree data.

[0063] In order to further implement the above technical solution, Figure 6 , the specific process of neural network model training is:

[0064] In the laboratory simulation of the use of air-conditioning exhaust ducts, the process from filter cleaning to filter clogging is simulated, and the corresponding conductivity, wind pressure and clogging degree data are recorded; a neural network model is constructed, with conductivity data and wind pressure data as the input layer, and clogging degree data as the output layer. The clogging degree data is set to 0 and 1, 0 means no cleaning is required, and 1 means a high degree of clogging and cleaning is required. An activation function is selected in the hidden layer, and the weights are continuously updated through multiple iterations until the learning results of the neural network are basically consistent with the experimental results.

[0065] A method for detecting air conditioning filter clogging by coupling conductivity and wind pressure monitoring also includes determining thresholds of conductivity and wind pressure to determine whether the filter needs to be cleaned or replaced; in order to more accurately reflect the degree of filter clogging, weights are assigned to conductivity and wind pressure data to reflect their importance in determining the degree of filter clogging; by fusing data from the two sensors, the algorithm improves the accuracy of clogging detection. Finally, the algorithm is implemented through a programming language and adapted to a microcontroller to ensure efficient operation.

[0066] In order to further implement the above technical solution, a method for detecting air conditioning filter clogging by coupling conductivity and wind pressure monitoring also includes: using charts, progress bars or indicator lights to display the filter clogging status in real time and taking corresponding measures; when the filter needs to be cleaned or replaced, notifying the user through sound, vibration or visual prompts; user-defined alarm thresholds and notification settings; historical data viewing function.

[0067] An air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring, comprising an air conditioning filter and a computer;

[0068] The air conditioning filter transmits the filter conductivity and the wind pressure behind the air conditioning filter obtained in real time to the computer;

[0069] The computer is used to couple the filter conductivity and the air conditioning filter rear side wind pressure data to input the trained neural network model and output the filter fouling degree data.

[0070] In order to further implement the above technical solution, the computer includes a data acquisition module, a preprocessing module, a model building module and a model training module.

[0071] In order to further implement the above technical solution, an air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring also includes a user display interface for real-time display of the filter clogging status, prompting and notifying the user, user-defined alarm thresholds and notification settings, and historical data viewing.

[0072] In this embodiment, the user display interface can be displayed on a mobile phone application or a control panel, using charts, progress bars or indicator lights to display the filter's fouling status in real time. This intuitive display method enables the user to quickly understand the filter's status and take appropriate measures; when the filter needs to be cleaned or replaced, the interface will notify the user through sound, vibration or visual prompts. This timely feedback is essential for maintaining the performance of the air-conditioning system. In addition, the user interface also allows the user to customize alarm thresholds and notification settings, providing a high degree of configurability; in order to enable users to track the filter's fouling trend, the interface also provides a historical data viewing function. Through these designs, the user interface not only provides necessary information, but also improves user experience and operational convenience. The design of this user interface takes into account the user's actual operating needs, making the present invention not only technologically innovative, but also reaching new heights in user experience.

[0073] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0074] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An air conditioning filter coupled with conductivity and wind pressure monitoring, embedded in an air conditioning exhaust pipe, characterized in that: include: Filter housing, filter mesh, electrode sheet, strain gauge sensor and associated circuit components; The filter mesh is fixed to the inner side of the filter housing; the electrode sheet is arranged in the hollow interior of the filter housing, and the auxiliary circuit element is arranged on the outer side of the filter housing; The filter mesh body includes a filter base material and conductive fibers, and the conductive fibers and the filter base material are tightly connected by plain weaving; The electrode sheets are respectively connected to the conductive fibers and the auxiliary circuit elements to monitor the conductivity of the filter in real time; The strain sensor is arranged on the air outlet side of the filter mesh and connected to the auxiliary circuit elements to monitor the wind pressure behind the air conditioning filter in real time.

2. The air conditioning filter coupled with conductivity and wind pressure monitoring according to claim 1, characterized in that: The accessory circuit elements include a filter conductivity measurement circuit model; The filter conductivity measurement circuit model includes a four-electrode sensor, a first constant current source, a first operational amplifier, a first analog-to-digital converter, and a first microcontroller; The four-electrode sensor includes two current electrodes and two voltage electrodes, the current electrodes are used to apply current, and the voltage electrodes are used to measure voltage; a first constant current source is configured to provide a stable current through the filter for the four-electrode sensor; a first operational amplifier is used to amplify the tiny voltage signal detected by the voltage electrode; a first analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and a first microcontroller is used to calculate conductivity.

3. The air conditioning filter coupled with conductivity and wind pressure monitoring according to claim 2, characterized in that: The auxiliary circuit elements also include a circuit model for measuring wind pressure behind the filter; The wind pressure measurement circuit model after the filter includes a second constant current source, a second operational amplifier, a second analog-to-digital converter and a second microcontroller; The second constant current source is used to provide a stable current for the strain sensor; the strain sensor is used to output a voltage signal, and the second operational amplifier is used to amplify the tiny voltage signal of the strain sensor; The second analog-to-digital converter converts the conditioned analog voltage signal into a digital signal; and the second microcontroller is configured to calculate the wind pressure at the rear side of the air conditioning filter.

4. The air conditioning filter coupled with conductivity and wind pressure monitoring according to claim 3, characterized in that: The filter conductivity measurement circuit model and the post-filter wind pressure measurement circuit model both include circuit protection related devices.

5. A method for detecting air conditioning filter blockage by coupling conductivity and wind pressure monitoring, characterized in that: include: Using the air conditioning filter according to any one of claims 1 to 4 to obtain filter conductivity and air conditioning filter rear side wind pressure data; The obtained filter conductivity and air conditioning filter rear side wind pressure data are pre-processed by denoising and normalization, input into the trained neural network model, and output the filter fouling degree data; Determine whether the filter needs to be cleaned or replaced based on the filter blockage degree data.

6. The method for detecting air conditioning filter blockage by coupling conductivity and wind pressure monitoring according to claim 5, characterized in that: The specific process of neural network model training is as follows: In the laboratory simulation of the use of air-conditioning exhaust ducts, the process from filter cleaning to filter clogging is simulated, and the corresponding conductivity, wind pressure and clogging degree data are recorded; a neural network model is constructed, with conductivity data and wind pressure data as the input layer, and clogging degree data as the output layer. The clogging degree data is set to 0 and 1, 0 means no cleaning is required, and 1 means a high degree of clogging and cleaning is required. An activation function is selected in the hidden layer, and the weights are continuously updated through multiple iterations until the learning results of the neural network are basically consistent with the experimental results.

7. The method for detecting air conditioning filter blockage by coupling conductivity and wind pressure monitoring according to claim 5, characterized in that: Also includes: Use charts, progress bars or indicator lights to display the filter blockage status in real time and take appropriate measures; When the filter needs to be cleaned or replaced, the user is notified through sound, vibration or visual prompts; user-defined alarm thresholds and notification settings; historical data viewing function.

8. An air conditioning filter blockage detection device coupled with conductivity and wind pressure monitoring, characterized in that: An air conditioning filter comprising any one of claims 1 to 4, and a computer; The air conditioning filter transmits the filter conductivity and the wind pressure behind the air conditioning filter obtained in real time to the computer; The computer is used to couple the filter conductivity and the air conditioning filter rear side wind pressure data to input the trained neural network model and output the filter fouling degree data.

9. The air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring according to claim 8, characterized in that: The computer includes a data acquisition module, a preprocessing module, a model building module and a model training module.

10. The air conditioning filter clogging detection device coupled with conductivity and wind pressure monitoring according to claim 8, characterized in that: It also includes a user display interface for real-time display of the filter's fouling status, prompting notifications to the user, user-defined alarm thresholds and notification settings, and historical data viewing.

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