Ion generator concentration detection method, system, device, and storage medium
By determining the type of ion generator, collecting environmental parameters, and using replaceable functional components and gradient-screened electric fields, combined with fuzzy C-means clustering and multivariate linear fitting, accurate detection of ion concentration is achieved. This solves the problems of environmental interference and equipment versatility, and reduces detection errors and equipment costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUXI CHENGCHENG ELECTRONICS TECH CO LTD
- Filing Date
- 2026-02-26
- Publication Date
- 2026-05-26
AI Technical Summary
Existing ion generator concentration detection technology has weak environmental interference resistance, and the detection accuracy is easily affected by factors such as temperature, humidity, airflow speed, and particulate matter in the air, resulting in large errors. In addition, the equipment has poor versatility and cannot be adapted to different types of ion generators.
After determining the type of ion generator, the concentration detection probe mode is switched, environmental parameters are collected, and replaceable functional components and gradient screening electric fields are used. Combined with fuzzy C-means clustering algorithm and multivariate linear fitting correction coefficient, accurate detection of ion concentration is achieved.
It reduces detection errors in complex environments and is compatible with three types of ion generators: negative ions, positive ions, and plasma, thereby reducing equipment purchase and usage costs.
Smart Images

Figure CN122084834A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of ion detection technology, specifically to a method, system, device, and storage medium for detecting the concentration of an ion generator. Background Technology
[0002] Ion generators are widely used in industrial purification, medical cleanrooms, and indoor air treatment. Accurate detection of their ion output concentration is a core prerequisite for ensuring equipment performance and meeting air quality standards in the application environment. However, current ion generator concentration detection technology has the following shortcomings:
[0003] 1. Weak resistance to environmental interference: The detection accuracy is easily affected by environmental factors such as temperature and humidity, airflow speed, and particulate matter in the air. The detection error can reach 15%-30% in complex scenarios, which cannot meet the requirements of high-precision detection.
[0004] Second, poor equipment versatility: Existing detection equipment is mostly designed for a single type of ion generator and cannot adapt to the detection needs of different types of ion generators such as negative ion, positive ion, and plasma. Multiple dedicated devices are required, which increases the cost of use. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a method, system, device, and storage medium for detecting the concentration of an ion generator, which solves the problems of weak environmental interference resistance and poor equipment versatility in current methods for detecting the concentration of an ion generator.
[0006] To achieve the above objectives, in a first aspect, embodiments of this application provide a method for detecting the concentration of an ion generator, the method comprising the following steps:
[0007] After determining the ion type of the ion generator, control the concentration detection probe to switch to the concentration detection mode of the corresponding ion type;
[0008] The concentration detection probe collects the raw ion concentration information of the ion generator and simultaneously collects environmental parameters that affect the ion concentration detection.
[0009] The original ion concentration information is corrected based on environmental parameters to obtain the corrected ion concentration.
[0010] In conjunction with the first aspect, in one embodiment, before the concentration detection probe acquires the raw ion concentration information of the ion generator, a replaceable functional component is installed in front of the concentration detection probe. The installation of the replaceable functional component is based on the output intensity of the ion generator to be detected, and the installation rules are as follows:
[0011] When the output intensity is <10 4 ions / cm 3At that time, it was determined to be a low-intensity scene, and the replaceable functional components were a 0.1mm aperture metal mesh and an ion energy filter assembly;
[0012] At an output strength of 10 4 -10 5 ions / cm 3 At that time, it was determined to be a medium-intensity scene, and the replaceable functional component was a 0.5mm aperture metal mesh;
[0013] When the output intensity is >10 5 ions / cm 3 At that time, it was determined to be a high-intensity scene, and the replaceable functional component was a 1.0mm aperture metal mesh.
[0014] In conjunction with the first aspect, in one embodiment, the ion energy filtering component forms a gradient screening electric field by applying an auxiliary voltage of the same polarity and amplitude as the polarization voltage of the concentration detection probe, which is used to screen target ions.
[0015] In conjunction with the first aspect, in one embodiment, the process for determining the ion type of the ion generator includes:
[0016] Configure the polarity and amplitude combination of the polarization voltage of the concentration detection probe, and collect the ion response signal under each combination;
[0017] Charge and amplitude feature parameters are extracted from the ion response signal, and a two-dimensional feature vector is constructed.
[0018] The membership degree of the two-dimensional feature vector is calculated using the fuzzy C-means clustering algorithm;
[0019] When the membership degree is greater than a preset threshold, it is determined to be the ion type of the corresponding combination.
[0020] In conjunction with the first aspect, in one embodiment, the formula for calculating the charge characteristic parameter is:
[0021] ;
[0022] In the formula, These are characteristic parameters of charge. This is the ion response signal acquired in positive polarization voltage mode. The signal represents the ion response acquired under negative polarization voltage mode.
[0023] The formula for calculating the amplitude characteristic parameter is:
[0024] ;
[0025] In the formula, For amplitude characteristic parameters, This is the ion response signal acquired in high-amplitude polarization voltage mode. This is the ion response signal acquired in the low-amplitude polarization voltage mode.
[0026] In conjunction with the first aspect, in one implementation, the membership degree calculation formula is:
[0027] ;
[0028] In the formula, For the first The nth sample pair Membership degree of ions. , For the first Two-dimensional feature vectors of each sample, For the first Clustering centers of ion-like molecules For the first Standard deviation of ions.
[0029] In conjunction with the first aspect, in one embodiment, the process of correcting the original ion concentration information based on environmental parameters includes:
[0030] The correction factor is calculated based on environmental parameters. The formula for calculating the correction factor is as follows:
[0031] ;
[0032] In the formula, For correction factor, This is the base correction factor under standard conditions, with a value of 1.0. This is the temperature influence coefficient. This represents the absolute difference between the actual temperature and the standard temperature. Humidity influence coefficient This represents the absolute difference between the actual humidity and the standard humidity. The airflow velocity influence coefficient. This represents the absolute difference between the actual airflow velocity and the standard airflow velocity. The coefficient representing the influence of particulate matter concentration. This refers to the particulate matter concentration.
[0033] Obtain the corrected ion concentration. The formula for calculating the corrected ion concentration is:
[0034] ;
[0035] In the formula, This represents the corrected ion concentration. This represents the original ion concentration. This is the baseline offset.
[0036] Secondly, embodiments of this application provide an ion generator concentration detection system applied to the method provided in the first aspect, including:
[0037] An ion type determination module is used to determine the ion type of the ion generator.
[0038] An environmental parameter acquisition module is used to acquire environmental parameters.
[0039] An ion concentration acquisition module is used to acquire raw ion concentration information.
[0040] An ion concentration correction module is used to calculate a correction coefficient based on environmental parameters and obtain the corrected ion concentration by combining the original ion concentration information.
[0041] Thirdly, embodiments of this application provide an ion generator concentration detection device, which includes a processor, a memory, and an ion generator concentration detection program stored in the memory and executable by the processor, wherein when the ion generator concentration detection program is executed by the processor, the method provided in the first aspect is implemented.
[0042] Fourthly, embodiments of this application provide a computer-readable storage medium storing an ion generator concentration detection program, which, when executed, implements the method provided in the first aspect.
[0043] This invention provides a method, system, device, and storage medium for detecting the concentration of an ion generator. It offers the following advantages:
[0044] (1) By considering the influence of environmental parameters on the detection of ion concentration, the correction coefficient of ion concentration is obtained by multiple linear fitting, so as to achieve accurate detection of ion concentration. This eliminates the need to load complex models and can quickly offset the interference of temperature, humidity, airflow and particulate matter on the detection results, effectively reducing the ion concentration detection error in complex environments.
[0045] (2) It can adapt to the ion concentration detection needs of three mainstream types of ion generators, namely negative ion, positive ion and plasma, without the need to change the detection equipment, thus reducing the cost of equipment purchase and use. Attached Figure Description
[0046] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0047] Figure 1 This is a schematic diagram of the ion generator concentration detection method in an embodiment of the present invention;
[0048] Figure 2 This is a block diagram of the ion generator concentration detection system in an embodiment of the present invention;
[0049] Figure 3 This is a connection block diagram of the electronic device in an embodiment of the present invention. Detailed Implementation
[0050] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0051] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.
[0052] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0053] In a first aspect, embodiments of the present invention provide a method for detecting the concentration of an ion generator, the method comprising the following steps:
[0054] After determining the ion type of the ion generator, control the concentration detection probe to switch to the concentration detection mode of the corresponding ion type;
[0055] The concentration detection probe collects the raw ion concentration information of the ion generator and simultaneously collects environmental parameters that affect ion concentration detection, including ambient temperature and humidity, airflow velocity, and particulate matter concentration.
[0056] The original ion concentration information is corrected based on environmental parameters to obtain the corrected ion concentration.
[0057] Therefore, by considering the influence of environmental parameters on ion concentration detection, accurate ion concentration detection can be achieved. This eliminates the need for complex models and can quickly offset the interference of temperature, humidity, airflow, and particulate matter on the detection results, effectively reducing ion concentration detection errors in complex environments.
[0058] In one embodiment, before the concentration detection probe acquires the raw ion concentration information of the ion generator, a replaceable functional component is installed in front of the concentration detection probe. The installation of the replaceable functional component is based on the output intensity of the ion generator to be tested, and the installation rules are as follows:
[0059] When the output intensity is <10 4 ions / cm 3 When the scene is determined to be low intensity, the replaceable functional components are a 0.1mm aperture metal mesh and an ion energy filter assembly. The ion energy filter assembly is used to screen target ions and filter irrelevant stray ions in the environment to avoid stray ions interfering with the detection of weak target ion signals and improve the accuracy of low concentration ion detection.
[0060] At an output strength of 10 4 -10 5 ions / cm 3 At that time, it was determined to be a medium-intensity scene, and the replaceable functional component was a 0.5mm aperture metal mesh;
[0061] When the output intensity is >10 5 ions / cm 3 At that time, it was determined to be a high-intensity scene, and the replaceable functional component was a 1.0mm aperture metal mesh.
[0062] After completing the installation of the replaceable functional components, fix the concentration detection probe with the replaceable functional components 10-20cm in front of the ion generator output port, so that the detection surface of the concentration detection probe is perpendicular to the ion output direction. It should be noted that if the airflow in the detection scene is unstable, install a windproof barrier around the ion generator, with a distance of ≥5cm between the barrier and the probe, to avoid obstructing the detection surface of the airflow sensor.
[0063] Furthermore, the ion energy filter assembly includes a metal grid, an insulating base, and a sealing gasket; the metal grid is made of 316L stainless steel, with a pore size of 0.05mm, and consists of 3 layers with a layer spacing of 0.5mm; the insulating base is made of polytetrafluoroethylene (PTFE) and is used to fix the metal grid and insulate it from the probe body; the sealing gasket is made of silicone rubber and is used to ensure a seal after the ion energy filter assembly and the concentration detection probe are assembled, preventing airflow from carrying stray ions into the detection area through gaps.
[0064] Based on this, the ion energy filter component is used as follows: an auxiliary voltage (0.2-0.5kV) with the same polarity and adjustable amplitude as the polarization voltage of the concentration detection probe is applied through a metal grid to form a gradient screening electric field. When the ion gas flow passes through the ion energy filter component, stray ions with energy below the threshold (such as tiny dust particles with a small amount of charge adsorbed in the environment, or low-activity residual ions) will be blocked or adsorbed on the metal grid by the gradient electric field; while the target ions (with the required energy threshold for detection) pass smoothly through the metal grid under the assistance of the electric field and enter the subsequent detection area to be captured by the ion sensor in the concentration detection probe. The amplitude of the auxiliary voltage is adaptively adjusted according to the type of target ion: a positive auxiliary voltage is applied when detecting negative ions, a negative auxiliary voltage is applied when detecting positive ions, and an alternating symmetrical auxiliary voltage is applied when detecting plasma.
[0065] In low-intensity scenarios, a 0.1mm aperture metal mesh is used to reduce ion escape, and in conjunction with an ion energy filter component, it can stably capture weak ion signals. In high-intensity scenarios, a 1mm aperture metal mesh is used to prevent excessive ion accumulation on the mesh surface, which could lead to signal saturation, and to ensure that ions pass through smoothly and are detected by the concentration detection probe. In medium-intensity scenarios, a 0.5mm aperture metal mesh is used to balance capture efficiency and signal stability to meet routine detection needs.
[0066] In one embodiment, the process for determining the ion type of an ion generator includes:
[0067] Configure the polarization voltage ...
[0068] Ion response signals were collected for each combination: 10 sets of ion response signals were collected for each combination, with a collection frequency of 100Hz and a collection time of 0.5s.
[0069] Charge characteristic parameters and amplitude characteristic parameters are extracted based on the ion response signal; the formula for calculating the charge characteristic parameter is:
[0070] ;
[0071] In the formula, These are characteristic parameters of charge. This is the ion response signal acquired in positive polarization voltage mode. This is the ion response signal acquired in negative polarization voltage mode. This is the maximum value among the 10 sets of ion response signals under positive polarization voltage mode. The maximum value among the 10 sets of ion response signals under negative polarization voltage mode;
[0072] The formula for calculating the amplitude characteristic parameter is:
[0073] ;
[0074] In the formula, For amplitude characteristic parameters, This is the ion response signal acquired in high-amplitude polarization voltage mode. This is the ion response signal acquired under low-amplitude polarization voltage mode. This is the maximum value among the 10 sets of ion response signals in the high-amplitude polarization voltage mode. This is the maximum value among the 10 sets of ion response signals under low-amplitude polarization voltage mode;
[0075] A two-dimensional feature vector is constructed based on charge characteristic parameters and amplitude characteristic parameters;
[0076] The membership degree of the two-dimensional feature vector is calculated using the fuzzy C-means clustering algorithm. The formula for calculating the membership degree is:
[0077] ;
[0078] In the formula, For the first The nth sample pair Membership degree of ions. , For the first Two-dimensional feature vectors of each sample, For the first Clustering centers of ion-like molecules For the first The standard deviation of ions is 0.1.
[0079] Ion type is determined based on membership degree: when the membership degree is ≥0.85, it is determined to be the ion type of the corresponding combination, where the cluster center of negative ions is: , Its two-dimensional feature vector is: The positive ion cluster centers are: , Its two-dimensional feature vector is: The plasma cluster centers are: , Its two-dimensional feature vector is: .
[0080] Based on this, the concentration detection probe is switched to the concentration detection mode corresponding to the ion type being determined. This concentration detection mode includes:
[0081] Negative ion mode: The polarization voltage is the same as the positive polarization voltage;
[0082] Positive ion mode: The polarization voltage is the negative polarization voltage;
[0083] Plasma mode: The polarization voltage is an alternating polarization voltage.
[0084] Therefore, it can adapt to the ion concentration detection needs of three mainstream types of ion generators—negative ion, positive ion, and plasma—without changing the detection equipment, thus reducing the cost of equipment purchase and use.
[0085] In one embodiment, the process of correcting the original ion concentration information based on environmental parameters includes:
[0086] The correction factor is calculated based on environmental parameters. The formula for calculating the correction factor is as follows:
[0087] ;
[0088] In the formula, For correction factor, This is the base correction factor under standard conditions, with a value of 1.0. The temperature influence coefficient was determined to be a fixed value of 0.003 through experimental calibration. This represents the absolute difference between the actual temperature and the standard temperature. The humidity influence coefficient was determined to be a fixed value of 0.002 through experimental calibration. This represents the absolute difference between the actual humidity and the standard humidity. The airflow velocity influence coefficient was determined to be a fixed value of 0.03 through experimental calibration. This represents the absolute difference between the actual airflow velocity and the standard airflow velocity. The coefficient representing the influence of particulate matter concentration was determined to be a fixed value of 0.0002 through experimental calibration. This refers to the particulate matter concentration.
[0089] Obtain the corrected ion concentration. The formula for calculating the corrected ion concentration is:
[0090] ;
[0091] In the formula, This represents the corrected ion concentration. This represents the original ion concentration. The reference offset is obtained through initialization calibration. Even if the concentration detection probe is aligned with the standard ion source, the reference offset is obtained based on the measured value of the concentration detection probe and the standard ion concentration of the standard ion source.
[0092] By obtaining the correction coefficient for ion concentration through multivariate linear fitting, accurate detection of ion concentration can be achieved. This method can quickly offset the interference of temperature, humidity, airflow, and particulate matter on the detection results, effectively reducing the detection error of ion concentration in complex environments.
[0093] Furthermore, since particulate matter of different sizes interferes with ion concentration detection to varying degrees, smaller particles have a larger specific surface area and a stronger ability to adsorb ions, resulting in more significant interference with the detection results; larger particles have a weaker ability to adsorb ions and thus less interference. Considering this, by assigning weights according to the degree of interference, the concentrations of particulate matter in different size ranges are integrated into a comprehensive interference parameter to ensure accurate quantification of the total interference of particulate matter on ion detection. Specifically, the formula for calculating the particulate matter concentration data is as follows:
[0094] ;
[0095] In the formula, This refers to the particulate matter concentration. The concentration of particulate matter with a particle size of 0.3-1 μm. The concentration of particulate matter with a particle size of 1-5 μm. The concentration of particulate matter with a particle size of 5-10 μm. For weighting coefficients, and .
[0096] In one embodiment, a preset ion concentration alarm threshold is defined, and when the corrected ion concentration exceeds the ion concentration alarm threshold, an over-limit warning is issued.
[0097] The concentration detection method for the ion generator described above is explained below in the form of a flowchart, referring to... Figure 1 The process is as follows:
[0098] S1. Preparation and initial calibration before testing: According to the output intensity of the ion generator to be tested, replaceable functional components are arranged (see the above arrangement rules). Fix the concentration detection probe with replaceable functional components in front of the output port of the ion generator. After the detection surface of the concentration detection probe is perpendicular to the ion output direction, perform initial calibration on the concentration detection probe and obtain the reference offset.
[0099] S2. Dual-dimensional recognition and detection mode adaptation: The polarity of the polarization voltage of the concentration detection probe is combined with different amplitude levels to form nine polarity and amplitude combinations. Ion response signals under each combination are collected. Based on the ion response signals, charge feature parameters (see the calculation formula of charge feature parameters above) and amplitude feature parameters (see the calculation formula of amplitude feature parameters above) are extracted to construct a dual-dimensional feature vector. The membership degree of the dual-dimensional feature vector is calculated by the fuzzy C-means clustering algorithm (see the membership degree calculation formula above). After determining the ion type according to the membership degree, the concentration detection probe is controlled to switch to the concentration detection mode of the corresponding ion type.
[0100] S3. Environmental Parameter Acquisition and Correction Coefficient Calculation: Collect environmental temperature, humidity, airflow velocity, and particulate matter concentration data as environmental parameters, and calculate correction coefficients based on the environmental parameters (see the calculation formula for the correction coefficients above).
[0101] S4. Ion Concentration Correction: Calculate the corrected ion concentration based on the original ion concentration information collected in the concentration detection mode in S2 and the correction coefficient in S3 (see the calculation formula for the corrected ion concentration above).
[0102] S5. Result Judgment and Alarm: Compare the corrected ion concentration with the preset ion concentration alarm threshold. Determine whether the corrected ion concentration exceeds the ion concentration alarm threshold. If so, issue an over-limit warning; otherwise, directly output the corrected ion concentration.
[0103] In a second aspect, embodiments of this application provide an ion generator concentration detection system applied to the method provided in the first aspect, comprising:
[0104] Ion type determination module, used to determine the ion type of the ion generator;
[0105] The environmental parameter acquisition module is used to collect environmental parameters.
[0106] The ion concentration acquisition module is used to acquire raw ion concentration information.
[0107] The ion concentration correction module is used to calculate the correction coefficient based on environmental parameters and obtain the corrected ion concentration by combining the original ion concentration information.
[0108] Thirdly, embodiments of this application provide an ion generator concentration detection device, which can be a personal computer (PC), laptop computer, server, or other device with data processing capabilities.
[0109] Reference Figure 3 , Figure 3This is a schematic diagram of the hardware structure of the ion generator concentration detection device involved in the embodiments of this application. In this embodiment, the ion generator concentration detection device may include a processor, a memory, a communication interface, and a communication bus.
[0110] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.
[0111] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces used for interconnecting internal components of the ion generator concentration detection device, as well as interfaces used for interconnecting the ion generator concentration detection device with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.
[0112] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0113] The processor can be a general-purpose processor, which can call the ion generator concentration detection program stored in the memory and execute the ion generator concentration detection method provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the ion generator concentration detection program is called can be referred to in the various embodiments of the ion generator concentration detection method of this application, and will not be repeated here.
[0114] Those skilled in the art will understand that Figure 3 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0115] Fourthly, embodiments of this application also provide a computer-readable storage medium.
[0116] The computer-readable storage medium of this application stores an ion generator concentration detection program, wherein when the ion generator concentration detection program is executed by a processor, it implements the steps of the ion generator concentration detection method as described above.
[0117] The method implemented when the ion generator concentration detection program is executed can be referred to in various embodiments of the ion generator concentration detection method of this application, and will not be repeated here.
[0118] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0119] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.
[0120] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.
[0121] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.
[0122] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.
[0123] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.
[0124] The above are merely specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be determined by the scope of the claims.
Claims
1. A method for detecting the concentration of an ion generator, characterized in that, The method includes the following steps: After determining the ion type of the ion generator, control the concentration detection probe to switch to the concentration detection mode of the corresponding ion type; The concentration detection probe collects the raw ion concentration information of the ion generator and simultaneously collects environmental parameters that affect the ion concentration detection. The original ion concentration information is corrected based on environmental parameters to obtain the corrected ion concentration.
2. The method for detecting the concentration of an ion generator according to claim 1, characterized in that, Before the concentration detection probe acquires the raw ion concentration information of the ion generator, a replaceable functional component is installed in front of the concentration detection probe. The installation of this replaceable functional component is based on the output intensity of the ion generator to be tested, and the installation rules are as follows: When the output intensity is <10 4 ions / cm 3 At that time, it was determined to be a low-intensity scene, and the replaceable functional components were a 0.1mm aperture metal mesh and an ion energy filter assembly; At an output strength of 10 4 -10 5 ions / cm 3 At that time, it was determined to be a medium-intensity scene, and the replaceable functional component was a 0.5mm aperture metal mesh; When the output intensity is >10 5 ions / cm 3 At that time, it was determined to be a high-intensity scene, and the replaceable functional component was a 1.0mm aperture metal mesh.
3. The method for detecting the concentration of an ion generator according to claim 2, characterized in that, The ion energy filtering component forms a gradient screening electric field by applying an auxiliary voltage of the same polarity and amplitude as the polarization voltage of the concentration detection probe, which is used to screen target ions.
4. The method for detecting the concentration of an ion generator according to claim 1, characterized in that, The process for determining the ion type of the ion generator includes: Configure the polarity and amplitude combination of the polarization voltage of the concentration detection probe, and collect the ion response signal under each combination; Charge and amplitude feature parameters are extracted from the ion response signal, and a two-dimensional feature vector is constructed. The membership degree of the two-dimensional feature vector is calculated using the fuzzy C-means clustering algorithm; When the membership degree is greater than a preset threshold, it is determined to be the ion type of the corresponding combination.
5. The method for detecting the concentration of an ion generator according to claim 4, characterized in that, The formula for calculating the charge characteristic parameter is: ; In the formula, These are characteristic parameters of charge. This is the ion response signal acquired in positive polarization voltage mode. The signal represents the ion response acquired under negative polarization voltage mode. The formula for calculating the amplitude characteristic parameter is: ; In the formula, For amplitude characteristic parameters, This is the ion response signal acquired in high-amplitude polarization voltage mode. This is the ion response signal acquired in the low-amplitude polarization voltage mode.
6. The method for detecting the concentration of an ion generator according to claim 4, characterized in that, The membership degree calculation formula is: ; In the formula, For the first The nth sample pair Membership degree of ions. , For the first Two-dimensional feature vectors of each sample, For the first Clustering centers of ion-like molecules For the first Standard deviation of ions.
7. The method for detecting the concentration of an ion generator according to claim 1, characterized in that, The process of correcting the original ion concentration information based on environmental parameters includes: The correction factor is calculated based on environmental parameters. The formula for calculating the correction factor is as follows: ; In the formula, For correction factor, This is the base correction factor under standard conditions, with a value of 1.
0. This is the temperature influence coefficient. This represents the absolute difference between the actual temperature and the standard temperature. Humidity influence coefficient This represents the absolute difference between the actual humidity and the standard humidity. The airflow velocity influence coefficient. This represents the absolute difference between the actual airflow velocity and the standard airflow velocity. The coefficient representing the influence of particulate matter concentration. This refers to the particulate matter concentration. Obtain the corrected ion concentration. The formula for calculating the corrected ion concentration is: ; In the formula, This represents the corrected ion concentration. This represents the original ion concentration. This is the baseline offset.
8. An ion generator concentration detection system, applied to the ion generator concentration detection method according to any one of claims 1-7, characterized in that, include: An ion type determination module is used to determine the ion type of the ion generator. An environmental parameter acquisition module, which is used to acquire environmental parameters; An ion concentration acquisition module is used to acquire raw ion concentration information. An ion concentration correction module is used to calculate a correction coefficient based on environmental parameters and obtain the corrected ion concentration by combining the original ion concentration information.
9. An ion generator concentration detection device, characterized in that, The ion generator concentration detection device includes a processor, a memory, and an ion generator concentration detection program stored in the memory and executable by the processor, wherein when the ion generator concentration detection program is executed by the processor, it implements the steps of the ion generator concentration detection method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores an ion generator concentration detection program, wherein when the ion generator concentration detection program is executed by a processor, it implements the steps of the ion generator concentration detection method as described in any one of claims 1 to 7.