Method and device for detecting state of filter screen of air purification equipment

Abstract

The invention discloses a method and device for detecting the state of a filter screen of air purification equipment, and relates to the technical field of filter screen state monitoring, and the method comprises the following steps: selecting a quantum dot material and an intelligent response type indicator material, respectively coating and weaving the materials on the filter screen, and measuring the original fluorescence intensity of the new filter screen by using a fluorescence spectrometer; calculating a comprehensive evaluation function according to the change of the fluorescence intensity, the color change of the pH sensitive dye and the influence of the coating thickness, and performing acoustic resonance frequency measurement by using the data of the initial state to obtain a resonance frequency characteristic curve when the pH sensitive dye is not polluted and a resonance frequency characteristic curve when the pH sensitive dye is not polluted; comparing the difference between the current fluorescence intensity and the initial fluorescence intensity, comparing the change of the resonance frequency characteristic curve with the resonance frequency characteristic curve without pollution, and comparing the color of the current pH sensitive dye with the initial high-quality picture; and judging whether the intelligent response type indicator material is abnormal or not by combining all comparison results.

Description

Technical Field

[0001] The invention relates to the technical field of filter status monitoring, and in particular to a method and a device for detecting the status of a filter of an air purification device. Background Art

[0002] Air purification equipment plays a vital role in modern environmental control. One of its core components is the filter. As air quality issues have received increasing attention, monitoring and maintenance of the filter status has become particularly important. Traditional filter detection methods mainly include manual inspection, pressure difference measurement, and sensor-based technology. However, these methods have many limitations. For example, manual inspection relies on the operator's experience and technical level, and it is difficult to achieve accurate quantification; although pressure difference measurement can provide certain reference information, it cannot directly reflect the distribution of pollutants inside the filter; although the sensor-based method has a certain degree of accuracy, in the complex and changeable actual application environment, the sensor is easily interfered, resulting in inaccurate data. In addition, existing technologies generally lack the ability to dynamically monitor the degree of filter contamination in real time, especially at the microscopic level (such as changes in quantum dot fluorescence intensity) and chemical properties (such as changes in pH).

[0003] In recent years, with the development of nanotechnology and smart materials, a new trend has emerged in environmental monitoring using quantum dots and smart response indicators. Quantum dots are widely used in biomedicine, optoelectronics and other fields due to their unique optical properties, while smart response indicators can sense changes in the surrounding environment and respond accordingly. However, in the field of air purification, the research on combining these two advanced materials for filter status monitoring is still in its infancy. Existing technical solutions usually only focus on changes in a single parameter, such as temperature or humidity, and lack comprehensive consideration for the comprehensive evaluation of the filter status. At the same time, traditional methods often ignore the intrinsic connection between changes in physical structure (such as the resonance frequency characteristic curve) and changes in chemical properties (such as color changes of pH-sensitive dyes), which limits the in-depth understanding of the health of the filter. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method for detecting the status of the filter screen of an air purification device to solve the problem that traditional methods often ignore the intrinsic connection between physical structure changes (such as resonance frequency characteristic curves) and chemical property changes (such as pH sensitive dye color changes).

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for detecting the status of a filter screen of an air purification device, comprising:

[0008] Select quantum dot materials and smart response indicator materials, and coat and weave them onto the filter net respectively; use a fluorescence spectrometer to measure the original fluorescence intensity of the new filter net, take high-quality photos to record the color of the smart response indicator material, calculate a comprehensive evaluation function based on the change in fluorescence intensity, the color change of the pH sensitive dye, and the influence of coating thickness, and obtain data on the new filter net coated with quantum dots and the smart response indicator material and its initial state;

[0009] When the air purification equipment is not in operation, the acoustic resonance frequency is measured using the data of the initial state to obtain a resonance frequency characteristic curve when it is not polluted;

[0010] Regularly use a fluorescence spectrometer to measure the fluorescence intensity of new filters coated with quantum dots and smart responsive indicator materials, compare the difference between the current fluorescence intensity and the initial fluorescence intensity, compare the change of the resonance frequency characteristic curve with the resonance frequency characteristic curve when it is not contaminated, and compare the current color of the pH sensitive dye with the initial high-quality photo;

[0011] Combine all comparison results to determine whether the intelligent response indicator material has abnormal conditions;

[0012] When an abnormal situation occurs, the user is immediately notified to take cleaning measures. After cleaning, the fluorescence intensity and resonance frequency characteristic curve are measured again to confirm whether the filter has returned to normal.

[0013] As a preferred solution of the method for detecting the state of the filter screen of the air purification device of the present invention, wherein: the quantum dot material refers to selecting CdSe / ZnS quantum dots as fluorescent markers;

[0014] The smart response indicator material refers to a pH sensitive dye;

[0015] CdSe / ZnS quantum dots are evenly coated on the filter using a spray method, and pH-sensitive dyes are integrated into the filter structure by weaving;

[0016] Before installing a new filter, use a fluorescence spectrometer to measure its original fluorescence intensity and save the original fluorescence intensity as a baseline value;

[0017] The smart responsive indicator material is photographed to obtain high-quality photos, which record the color change of the pH-sensitive dye in detail and mark the specific timestamp.

[0018] As a preferred embodiment of the method for detecting the state of the filter of the air purification device of the present invention, the comprehensive evaluation function is calculated according to the change of fluorescence intensity, the color change of the pH sensitive dye and the influence of the coating thickness to obtain the data of the new filter coated with quantum dots and the intelligent response indicator and its initial state, and the specific steps are as follows:

[0019] According to the change of fluorescence intensity, the color change of pH sensitive dye and the influence of coating thickness, a comprehensive evaluation function S(t) is constructed to evaluate the state change of the filter. The expression is:

[0020]

[0021] Where S(t) represents the state of the filter at time t, F(t) represents the fluorescence intensity measured at time t, F0 represents the initial measured fluorescence intensity, and α represents the weight coefficient of the fluorescence intensity change. represents the weight coefficient of color change, ΔC(t) represents the color change relative to the initial state F0 at time t, β represents the weight coefficient of coating thickness, and P represents the quantum dot vector.

[0022] As a preferred embodiment of the method for detecting the state of the filter screen of the air purification device of the present invention, the acoustic resonance frequency is measured using the data of the initial state when the air purification device is not in operation, and the resonance frequency characteristic curve when it is not polluted is obtained. The specific steps are as follows:

[0023] Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity F0 and save the data as a baseline value;

[0024] Take photos of pH-sensitive dyes to obtain high-quality photos, record color changes in detail, and mark specific timestamps;

[0025] Mount a small speaker on one side of the filter and a microphone on the other;

[0026] Use a small speaker to emit short pulses of sound to the filter, covering all the frequency bands that cause resonance, and simultaneously record the reflected waveform data received from the microphone;

[0027] The collected reflection waveform data is filtered by bandpass to remove unnecessary noise and interference signals; the peak positions in the reflection waveform data are identified by Hilbert transform, which correspond to the resonant frequency points;

[0028] All measured resonance frequency points are plotted into a frequency response curve using MATLAB to obtain the resonance frequency characteristic curve when it is not contaminated.

[0029] As a preferred solution of the method for detecting the state of the filter screen of the air purification equipment of the present invention, wherein: the difference between the current fluorescence intensity and the initial fluorescence intensity is compared, and the change of the resonance frequency characteristic curve is compared with the resonance frequency characteristic curve when it is not polluted, and the specific steps are:

[0030] Use a portable fluorescence spectrometer to measure the fluorescence intensity of the filter and record the fluorescence intensity at time t;

[0031] Compare the current fluorescence intensity with the fluorescence intensity F0 initially measured when the new filter is installed to evaluate the change in fluorescence intensity. When the fluorescence intensity decreases, it indicates that the filter has been contaminated. The more it decreases, the more serious the contamination.

[0032] Analyze the reflected waveform data, extract the resonant frequency points, and use MATLAB to plot the resonant frequency points into a frequency response curve;

[0033] Compare the current frequency response curve with the initially measured uncontaminated resonance frequency characteristic curve. When the resonance frequency weakens, it indicates that the filter is clogged, and when the resonance frequency strengthens, it indicates that the filter is cleaner.

[0034] The comparing the current color of the pH sensitive dye with the initial high-quality photo refers to taking a color photo of the smart response indicator material, especially the color of the pH sensitive dye, and comparing the current color photo of the smart response indicator material with the initially recorded high-quality photo to check whether there is a color change. When the pH value changes, it indicates that the filter is contaminated.

[0035] As a preferred solution of the method for detecting the status of the filter screen of the air purification equipment of the present invention, the method of combining all the comparison results to judge whether there is an abnormality in the intelligent response indicator material is specifically as follows:

[0036] According to the comparison results of fluorescence intensity change, resonance frequency characteristic curve change and pH sensitive dye color change, a comprehensive evaluation function E(t) is constructed, and the expression is:

[0037]

[0038] Among them, f max (t) represents the maximum resonant frequency measured at time t, f max(t0) represents the maximum resonance frequency at the time of initial measurement, F(t) represents the fluorescence intensity measured at time t, F0 represents the fluorescence intensity of initial measurement, ΔC(t) represents the color change relative to the initial state F0 at time t, γ represents the weight coefficient of the change of the resonance frequency characteristic curve, δ represents the weight coefficient of the change of fluorescence intensity, and η represents the weight coefficient of the color change of the pH sensitive dye;

[0039] Setting anomaly thresholds When E(t) exceeds When the pH sensitive dye changes color to red or blue, it is considered that an abnormality has occurred.

[0040] As a preferred solution of the method for detecting the status of the filter screen of the air purification equipment of the present invention, wherein: when an abnormal situation occurs, the user is immediately notified to take cleaning measures; after cleaning, the fluorescence intensity and the resonance frequency characteristic curve are measured again to confirm whether the filter screen has returned to normal, and the specific steps are as follows:

[0041] Classify abnormalities of fluorescence intensity changes, resonance frequency characteristic curve changes, and pH-sensitive dye color changes;

[0042] When the fluorescence intensity decreases, it indicates that the quantum dot coating is contaminated or damaged;

[0043] When the resonant frequency weakens, it indicates that the filter is clogged or the physical structure has changed;

[0044] When the pH-sensitive dye changes color, it indicates that the filter has accumulated acidic or alkaline contaminants;

[0045] The pH sensitive dye is yellow in the initial state. When the filter accumulates acidic pollutants, the pH sensitive dye changes from yellow to red. When the filter accumulates alkaline pollutants, the pH sensitive dye changes from yellow to blue.

[0046] When the quantum dot coating is contaminated or damaged, wipe the filter surface with a special mild cleaning agent;

[0047] When the filter is clogged or the physical structure changes, use a high-pressure water gun to flush and a vacuum cleaner to clear the blockage;

[0048] When the filter accumulates acidic pollutants, use alkaline cleaning agents to neutralize them. When the filter accumulates alkaline pollutants, use acidic cleaning agents to neutralize them.

[0049] Once cleaning is complete, the reassessment process is automatically initiated.

[0050] In a second aspect, the present invention provides a device for detecting the status of a filter screen of an air purification device, comprising a collection module, a status monitoring module, an abnormality detection module, an execution module and a review and evaluation module:

[0051] The acquisition module is used to select quantum dot materials and smart response indicator materials, use a spray method to evenly coat the quantum dots on the filter, and integrate the pH sensitive dye into the filter structure by weaving. Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity and save the data as a reference value;

[0052] The state monitoring module is responsible for regularly measuring the fluorescence intensity, acoustic resonance frequency and color change of the pH sensitive dye, and analyzing these data to track the state of the filter;

[0053] The anomaly detection module evaluates the filter status by constructing a comprehensive evaluation function and classifies and identifies different types of anomalies;

[0054] The execution module recommends and guides the user to take appropriate cleaning measures according to the abnormality type to ensure the effectiveness and safety of the cleaning operation;

[0055] The review and evaluation module re-evaluates the status of the filter after cleaning to confirm whether it has returned to normal, updates the maintenance log and performs long-term data analysis.

[0056] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the method for detecting the filter status of an air purification device as described in the first aspect of the present invention is implemented.

[0057] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the method for detecting the status of a filter screen of an air purification device as described in the first aspect of the present invention is implemented.

[0058] The beneficial effects of the present invention are as follows: by introducing quantum dots and intelligent responsive indicator materials, the present invention realizes multi-parameter, high-precision monitoring of the status of the filter of air purification equipment. CdSe / ZnS quantum dots provide high-sensitivity optical signals, pH-sensitive dyes sense chemical changes, and enhance the sensitivity of the filter. The original fluorescence intensity is measured by a fluorescence spectrometer and the color changes are recorded to establish a reliable initial state benchmark and reduce monitoring errors. The acoustic resonance frequency measurement technology accurately measures the physical state and distinguishes between physical damage and chemical pollution. Regular fluorescence intensity measurement realizes dynamic monitoring and early warning of potential problems. The comprehensive evaluation function integrates multiple parameter changes to ensure comprehensive and accurate status assessment. When an abnormality is detected, the system immediately notifies the user and recommends personalized cleaning measures, such as wiping with a mild detergent, flushing with a high-pressure water gun, or acid-base neutralization, to ensure that the cleaning is effective and safe. After cleaning, the effect is re-measured to confirm the effect, forming a closed-loop management, ensuring efficient operation of the equipment, extending the service life of the filter, optimizing the maintenance process, and reducing operating costs. In summary, the present invention significantly improves the monitoring accuracy, reliability, and maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0060] Figure 1 This is a flow chart of the method for detecting the filter status of the air purification equipment in Example 1.

[0061] Figure 2 Schematic diagram of the device for detecting the status of the filter screen of the air purification equipment in Example 1. DETAILED DESCRIPTION

[0062] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0063] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0064] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0065] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a method for detecting the status of a filter screen of an air purification device, comprising the following steps:

[0066] S1. Select quantum dot material and smart response indicator material, and coat and weave them onto the filter respectively; use a fluorescence spectrometer to measure the original fluorescence intensity of the new filter, take high-quality photos to record the color of the smart response indicator material, calculate a comprehensive evaluation function based on the change in fluorescence intensity, the color change of the pH sensitive dye, and the influence of coating thickness, and obtain data on the new filter coated with quantum dots and the smart response indicator material and its initial state;

[0067] Smart response indicator materials refer to pH sensitive dyes;

[0068] CdSe / ZnS quantum dots are evenly coated on the filter using a spray method, and pH-sensitive dyes are integrated into the filter structure by weaving;

[0069] Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity and save the original fluorescence intensity as a baseline value;

[0070] Take photos of the smart responsive indicator material to obtain high-quality photos, record the color change of the pH-sensitive dye in detail, and mark the specific timestamp;

[0071] According to the change of fluorescence intensity, the color change of pH sensitive dye and the influence of coating thickness, a comprehensive evaluation function S(t) is constructed to evaluate the state change of the filter. The expression is:

[0072]

[0073] Where S(t) represents the state of the filter at time t, and the value range of S(t) is [0,3]. The smaller the value of S(t), the more serious the pollution, and the larger the value of S(t), the less pollutant. F(t) represents the fluorescence intensity measured at time t, F0 represents the initial measured fluorescence intensity, and α represents the weight coefficient of the fluorescence intensity change. represents the weight coefficient of color change, ΔC(t) represents the color change relative to the initial state F0 at time t, β represents the weight coefficient of coating thickness, and P represents the quantum dot vector, including the specific type of quantum dots, quantum dot concentration, and the influence of coating thickness;

[0074] The expression of P is:

[0075] P = [Q, C, T];

[0076] Wherein, Q represents the specific type of quantum dots, C represents the concentration of quantum dots, and T represents the thickness of the coating layer;

[0077] The data of the initial state include the initial measured fluorescence intensity F0, the color change of the pH sensitive dye, the coating thickness, the timestamp and the initial value of the comprehensive evaluation function S(t).

[0078] S2. When the air purification device is not in operation, the acoustic resonance frequency is measured using the data of the initial state to obtain a resonance frequency characteristic curve when it is not polluted;

[0079] Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity F0 and save the data as a baseline value;

[0080] Take photos of pH-sensitive dyes to obtain high-quality photos, record color changes in detail, and mark specific timestamps;

[0081] Mount a small speaker on one side of the filter and a microphone on the other, making sure the distance between them is appropriate to capture a clear reflected waveform;

[0082] Use a small speaker to emit short pulses of sound to the filter, covering all the frequency bands that cause resonance, and simultaneously record the reflected waveform data received from the microphone, especially those specific frequencies that show strong reflection characteristics;

[0083] Analyze the reflected waveform data, extract and save the frequency information as the resonant frequency characteristic curve when it is not contaminated; the analysis of the reflected waveform data is specifically as follows:

[0084] Use bandpass filtering to remove unnecessary noise and interference signals from the collected reflection waveform data and retain useful frequency components; use Hilbert transform to identify the peak positions in the reflection waveform data, which correspond to the resonant frequency points;

[0085] Use MATLAB to plot all measured resonance frequency points into frequency response curves, showing the amplitude changes at different frequencies, and obtain the resonance frequency characteristic curve when it is not contaminated;

[0086] Frequency information includes resonant frequency points and frequency response curves.

[0087] S3. Regularly use a fluorescence spectrometer to measure the fluorescence intensity of the new filter coated with quantum dots and smart responsive indicator materials, compare the difference between the current fluorescence intensity and the initial fluorescence intensity, compare the change of the resonance frequency characteristic curve with the resonance frequency characteristic curve when it is not contaminated, and compare the current color of the pH sensitive dye with the initial high-quality photo;

[0088] Use a portable fluorescence spectrometer to measure the fluorescence intensity of the filter and record the fluorescence intensity at time t;

[0089] Compare the current fluorescence intensity with the fluorescence intensity F0 initially measured when the new filter is installed to evaluate the change in fluorescence intensity. When the fluorescence intensity decreases, it indicates that the filter has been contaminated. The more it decreases, the more serious the contamination.

[0090] When the air purification equipment is not in operation, a small speaker is used to emit short pulse sounds to the filter, covering all frequency bands that cause resonance (from 20Hz to 20kHz), and the reflected waveform data received by the microphone is simultaneously recorded;

[0091] Analyze the reflected waveform data, extract the resonant frequency points, and use MATLAB to plot the resonant frequency points into a frequency response curve;

[0092] Compare the current frequency response curve with the initially measured uncontaminated resonance frequency characteristic curve. When the resonance frequency weakens, it indicates that the filter is clogged, and when the resonance frequency strengthens, it indicates that the filter is cleaner.

[0093] Comparing the current color of the pH-sensitive dye with the initial high-quality photo refers to taking a color photo of the smart response indicator material, especially the color of the pH-sensitive dye, and comparing the current color photo of the smart response indicator material with the initial high-quality photo to check if there is a color change. When the pH value changes, it means that the filter is contaminated;

[0094] The pH value of the pH sensitive dye is set to fluctuate within the range of 5 to 9 in the initial state. When the pH value of the pH sensitive dye is 7, the dye appears yellow. When the pH value of the pH sensitive dye is less than 5, the dye turns red, indicating that the filter has accumulated acidic pollutants. When the pH value of the pH sensitive dye is greater than 9, the dye turns blue, indicating that the filter has accumulated alkaline pollutants.

[0095] S4. Combining all comparison results, determine whether the intelligent response indicator material has any abnormality;

[0096] According to the comparison results of fluorescence intensity change, resonance frequency characteristic curve change and pH sensitive dye color change, a comprehensive evaluation function E(t) is constructed, and the expression is:

[0097]

[0098] Among them, f max (t) represents the maximum resonant frequency measured at time t, f max (t0) represents the maximum resonance frequency at the time of initial measurement, which is used as the reference value, F(t) represents the fluorescence intensity measured at time t, F0 represents the fluorescence intensity measured initially, ΔC(t) represents the color change at time t relative to the initial state F0, which is calculated using the color difference algorithm, γ represents the weight coefficient of the change in the resonance frequency characteristic curve, δ represents the weight coefficient of the change in fluorescence intensity, and η represents the weight coefficient of the color change of the pH-sensitive dye;

[0099] The value range of E(t) is [0,3]. The larger the value of E(t), the better the filter is and no special maintenance is needed. The smaller the value of E(t), the more serious the filter is and the more necessary it is to clean or replace it immediately.

[0100] Set abnormal thresholds according to actual needs When E(t) exceeds When the pH sensitive dye changes color to red or blue, it is considered that an abnormality has occurred.

[0101] S5. When an abnormal situation occurs, immediately notify the user to take cleaning measures; after cleaning, measure the fluorescence intensity and resonance frequency characteristic curve again to confirm whether the filter has returned to normal;

[0102] Classify abnormalities of fluorescence intensity changes, resonance frequency characteristic curve changes, and pH-sensitive dye color changes;

[0103] When the fluorescence intensity decreases, it indicates that the quantum dot coating is contaminated or damaged;

[0104] When the resonant frequency weakens, it indicates that the filter is clogged or the physical structure has changed;

[0105] When the pH-sensitive dye changes color, it indicates that the filter has accumulated acidic or alkaline contaminants;

[0106] The pH sensitive dye is yellow in the initial state. When the filter accumulates acidic pollutants, the pH sensitive dye changes from yellow to red. When the filter accumulates alkaline pollutants, the pH sensitive dye changes from yellow to blue.

[0107] When the quantum dot coating is contaminated or damaged, use a special mild cleaning agent to gently wipe the filter surface to avoid damaging the quantum dot coating;

[0108] When the filter is clogged or the physical structure changes, use a high-pressure water gun to flush and a vacuum cleaner to clear the blockage;

[0109] When the filter accumulates acidic pollutants, use an alkaline cleaner to neutralize them. When the filter accumulates alkaline pollutants, use an acidic cleaner to neutralize them, and then rinse thoroughly with clean water to ensure that no chemicals remain.

[0110] After cleaning is completed, the re-evaluation process is automatically initiated, specifically:

[0111] Use a portable fluorescence spectrometer to measure the fluorescence intensity of the filter and record the fluorescence intensity at time t;

[0112] When the air purification equipment is not in operation, a small speaker is used to emit short pulse sounds to the filter, covering all frequency bands that cause resonance (from 20Hz to 20kHz), and the reflected waveform data received by the microphone is simultaneously recorded;

[0113] Analyze these waveform data, extract the resonant frequency points, and plot these frequency information into a frequency response curve;

[0114] Take a photo of the color of the smart response indicator material, especially the color of the pH sensitive dye, and compare it with the original recorded high-quality photo to check if there is any color change;

[0115] This step introduces an instant notification mechanism to ensure that users can be informed of abnormal filter status in the shortest possible time, so that cleaning measures can be taken in a timely manner;

[0116] Traditional methods often rely on regular inspections or subjective judgment by users, which can easily lead to delayed processing and thus affect the performance of air purification equipment. The present invention avoids these problems by real-time monitoring and automatically notifying users, significantly improving the timeliness and efficiency of maintenance.

[0117] In the event that the quantum dot coating is contaminated or damaged, use a mild cleaning agent to avoid further damage;

[0118] Traditional cleaning methods may cause irreversible damage to sensitive materials. The mild cleaning agent recommended in the present invention can effectively remove pollutants while maximally protecting the quantum dot coating, maintaining its optical properties, and ensuring the accuracy of subsequent monitoring.

[0119] This embodiment also provides a device for detecting the status of a filter screen of an air purification device, including: a collection module, a status monitoring module, an abnormality detection module, an execution module and a review and evaluation module:

[0120] The acquisition module is used to select quantum dot materials and smart response indicator materials, evenly coat the quantum dots on the filter by spraying, and integrate the pH sensitive dye into the filter structure by weaving. Before installing the new filter, the original fluorescence intensity is measured by a highly sensitive fluorescence spectrometer and the data is saved as a baseline value.

[0121] The condition monitoring module is responsible for periodically measuring the fluorescence intensity, acoustic resonance frequency and color change of the pH-sensitive dye and analyzing this data to track the status of the filter;

[0122] The anomaly detection module evaluates the filter status by constructing a comprehensive evaluation function and classifies and identifies different types of anomalies;

[0123] The execution module recommends and guides users to take appropriate cleaning measures based on the type of abnormality to ensure the effectiveness and safety of the cleaning operation;

[0124] The review and evaluation module re-evaluates the filter status after cleaning to confirm whether it has returned to normal, updates the maintenance log and performs long-term data analysis.

[0125] This embodiment also provides a computer device, which is suitable for the method of detecting the status of the filter of an air purification device, and includes: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the method of detecting the status of the filter of an air purification device as proposed in the above embodiment.

[0126] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0127] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for detecting the status of the filter screen of the air purification device as proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0128] In summary, the present invention achieves multi-parameter, high-precision monitoring of the status of the filter of the air purification equipment by: introducing quantum dots and intelligent responsive indicator materials, CdSe / ZnS quantum dots provide high-sensitivity optical signals, pH-sensitive dyes sense chemical changes, and enhance the sensitivity of the filter, and measures the original fluorescence intensity and records the color changes through a fluorescence spectrometer to establish a reliable initial state benchmark and reduce monitoring errors, and the acoustic resonance frequency measurement technology accurately measures the physical state and distinguishes between physical damage and chemical pollution, and regular fluorescence intensity measurement realizes dynamic monitoring and early warning of potential problems, and the comprehensive evaluation function integrates multiple parameter changes to ensure comprehensive and accurate status assessment. When an abnormality is detected, the system immediately notifies the user and recommends personalized cleaning measures, such as wiping with a mild detergent, flushing with a high-pressure water gun, or acid-base neutralization, to ensure that the cleaning is effective and safe, and re-measurement is performed after cleaning to confirm the effect, forming a closed-loop management, ensuring efficient operation of the equipment, extending the service life of the filter, optimizing the maintenance process, and reducing operating costs. In summary, the present invention significantly improves the monitoring accuracy, reliability, and maintenance efficiency.

[0129] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for detecting the status of a filter screen of an air purification device, characterized in that: include: Select quantum dot materials and smart response indicator materials, and coat and weave them onto the filter net respectively; use a fluorescence spectrometer to measure the original fluorescence intensity of the new filter net, take high-quality photos to record the color of the smart response indicator material, calculate a comprehensive evaluation function based on the change in fluorescence intensity, the color change of the pH sensitive dye, and the influence of coating thickness, and obtain data on the new filter net coated with quantum dots and the smart response indicator material and its initial state; When the air purification equipment is not in operation, the acoustic resonance frequency is measured using the data of the initial state to obtain a resonance frequency characteristic curve when it is not polluted; Regularly use a fluorescence spectrometer to measure the fluorescence intensity of new filters coated with quantum dots and smart responsive indicator materials, compare the difference between the current fluorescence intensity and the initial fluorescence intensity, compare the change of the resonance frequency characteristic curve with the resonance frequency characteristic curve when it is not contaminated, and compare the current color of the pH sensitive dye with the initial high-quality photo; Combine all comparison results to determine whether the intelligent response indicator material has abnormal conditions; When an abnormal situation occurs, the user is immediately notified to take cleaning measures. After cleaning, the fluorescence intensity and resonance frequency characteristic curve are measured again to confirm whether the filter has returned to normal.

2. The method for detecting the status of the filter screen of the air purification equipment according to claim 1, characterized in that: The quantum dot material refers to selecting CdSe / ZnS quantum dots as fluorescent markers; The smart response indicator material refers to a pH sensitive dye; CdSe / ZnS quantum dots are evenly coated on the filter using a spray method, and pH-sensitive dyes are integrated into the filter structure by weaving; Before installing a new filter, use a fluorescence spectrometer to measure its original fluorescence intensity and save the original fluorescence intensity as a baseline value; The smart responsive indicator material is photographed to obtain high-quality photos, which record the color change of the pH-sensitive dye in detail and mark the specific timestamp.

3. The method for detecting the status of the filter screen of the air purification equipment according to claim 2, characterized in that: The comprehensive evaluation function is calculated according to the change of fluorescence intensity, the color change of pH sensitive dye and the influence of coating thickness to obtain the data of the new filter coated with quantum dots and smart response indicator and its initial state, and the specific steps are: According to the change of fluorescence intensity, the color change of pH sensitive dye and the influence of coating thickness, a comprehensive evaluation function S(t) is constructed to evaluate the state change of the filter. The expression is: Where S(t) represents the state of the filter at time t, F(t) represents the fluorescence intensity measured at time t, F0 represents the initial measured fluorescence intensity, and α represents the weight coefficient of the fluorescence intensity change. represents the weight coefficient of color change, ΔC(t) represents the color change relative to the initial state F0 at time t, β represents the weight coefficient of coating thickness, and P represents the quantum dot vector.

4. The method for detecting the status of the filter screen of the air purification equipment according to claim 3, characterized in that: When the air purification device is not in operation, the acoustic resonance frequency is measured using the data of the initial state to obtain a resonance frequency characteristic curve when it is not polluted. The specific steps are: Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity F0 and save the data as a baseline value; Take photos of pH-sensitive dyes to obtain high-quality photos, record color changes in detail, and mark specific timestamps; Mount a small speaker on one side of the filter and a microphone on the other; Use a small speaker to emit short pulses of sound to the filter, covering all the frequency bands that cause resonance, and simultaneously record the reflected waveform data received from the microphone; The collected reflection waveform data is filtered by bandpass to remove unnecessary noise and interference signals; the peak positions in the reflection waveform data are identified by Hilbert transform, which correspond to the resonant frequency points; All measured resonance frequency points are plotted into a frequency response curve using MATLAB to obtain the resonance frequency characteristic curve when it is not contaminated.

5. The method for detecting the status of the filter screen of the air purification equipment according to claim 4, characterized in that: The specific steps of comparing the difference between the current fluorescence intensity and the initial fluorescence intensity and comparing the change of the resonance frequency characteristic curve with the resonance frequency characteristic curve when not contaminated are as follows: Use a portable fluorescence spectrometer to measure the fluorescence intensity of the filter and record the fluorescence intensity at time t; Compare the current fluorescence intensity with the fluorescence intensity F0 initially measured when the new filter is installed to evaluate the change in fluorescence intensity. When the fluorescence intensity decreases, it indicates that the filter has been contaminated. The more it decreases, the more serious the contamination. Analyze the reflected waveform data, extract the resonant frequency points, and use MATLAB to plot the resonant frequency points into a frequency response curve; Compare the current frequency response curve with the initially measured uncontaminated resonance frequency characteristic curve. When the resonance frequency weakens, it indicates that the filter is clogged, and when the resonance frequency strengthens, it indicates that the filter is cleaner. The comparing the current color of the pH sensitive dye with the initial high-quality photo refers to taking a color photo of the smart response indicator material, especially the color of the pH sensitive dye, and comparing the current color photo of the smart response indicator material with the initially recorded high-quality photo to check whether there is a color change. When the pH value changes, it indicates that the filter is contaminated.

6. The method for detecting the status of the filter screen of the air purification equipment according to claim 5, characterized in that: The combination of all comparison results to determine whether the intelligent response indicator material has an abnormality is specifically as follows: According to the comparison results of fluorescence intensity change, resonance frequency characteristic curve change and pH sensitive dye color change, a comprehensive evaluation function E(t) is constructed, and the expression is: Among them, f max (t) represents the maximum resonant frequency measured at time t, f max (t0) represents the maximum resonance frequency at the time of initial measurement, F(t) represents the fluorescence intensity measured at time t, F0 represents the fluorescence intensity of initial measurement, ΔC(t) represents the color change relative to the initial state F0 at time t, γ represents the weight coefficient of the change of the resonance frequency characteristic curve, δ represents the weight coefficient of the change of fluorescence intensity, and η represents the weight coefficient of the color change of the pH sensitive dye; Setting anomaly thresholds When E(t) exceeds When the pH sensitive dye changes color to red or blue, it is considered that an abnormality has occurred.

7. The method for detecting the status of the filter screen of the air purification equipment according to claim 6, characterized in that: When an abnormal situation occurs, the user is immediately notified to take cleaning measures; after cleaning, the fluorescence intensity and resonance frequency characteristic curve are measured again to confirm whether the filter has returned to normal. The specific steps are: Classify abnormalities of fluorescence intensity changes, resonance frequency characteristic curve changes, and pH-sensitive dye color changes; When the fluorescence intensity decreases, it indicates that the quantum dot coating is contaminated or damaged; When the resonant frequency weakens, it indicates that the filter is clogged or the physical structure has changed; When the pH-sensitive dye changes color, it indicates that the filter has accumulated acidic or alkaline contaminants; The pH sensitive dye is yellow in the initial state. When the filter accumulates acidic pollutants, the pH sensitive dye changes from yellow to red. When the filter accumulates alkaline pollutants, the pH sensitive dye changes from yellow to blue. When the quantum dot coating is contaminated or damaged, wipe the filter surface with a special mild cleaning agent; When the filter is clogged or the physical structure changes, use a high-pressure water gun to flush and a vacuum cleaner to clear the blockage; When the filter accumulates acidic pollutants, use alkaline cleaning agents to neutralize them. When the filter accumulates alkaline pollutants, use acidic cleaning agents to neutralize them. Once cleaning is complete, the reassessment process is automatically initiated.

8. A device for detecting the status of a filter screen of an air purification device, based on the method for detecting the status of a filter screen of an air purification device according to any one of claims 1 to 7, characterized in that: Including acquisition module, status monitoring module, anomaly detection module, execution module and review and evaluation module: The acquisition module is used to select quantum dot materials and smart response indicator materials, use a spray method to evenly coat the quantum dots on the filter, and integrate the pH sensitive dye into the filter structure by weaving. Before installing a new filter, use a highly sensitive fluorescence spectrometer to measure its original fluorescence intensity and save the data as a reference value; The state monitoring module is responsible for regularly measuring the fluorescence intensity, acoustic resonance frequency and color change of the pH sensitive dye, and analyzing these data to track the state of the filter; The anomaly detection module evaluates the filter status by constructing a comprehensive evaluation function and classifies and identifies different types of anomalies; The execution module recommends and guides the user to take appropriate cleaning measures according to the abnormality type to ensure the effectiveness and safety of the cleaning operation; The review and evaluation module re-evaluates the status of the filter after cleaning to confirm whether it has returned to normal, updates the maintenance log and performs long-term data analysis.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for detecting the status of the filter screen of the air purification equipment according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for detecting the status of the filter screen of an air purification device according to any one of claims 1 to 7 are implemented.

Images