Air purification method and device based on electrostatic anion synergy

Abstract

The invention discloses an air purification method and device based on electrostatic anion synergy, and relates to the technical field of air purification. The method comprises the steps that the target air state is obtained; introducing an air quality evaluation function to evaluate and analyze the target air state to obtain a target air index; whether the target air index is in a preset air index threshold value or not is judged, and a target judgment result is obtained; and target purification equipment is activated according to the target judgment result, and real-time air purification is conducted on the target space through the target purification equipment. The technical problems that in existing air purification, the target air state is difficult to analyze and evaluate accurately, so that purification of pollutants in air is not comprehensive, and the purification efficiency is low are solved, automatic and intelligent management of air purification equipment is achieved, and the technical effect of improving the air purification efficiency is achieved.

Description

Technical Field

[0001] This application relates to the technical field of air purification, and specifically relates to an air purification method and device based on the cooperation of static electricity and negative ions. Background Art

[0002] Traditional air purification means such as filter filtration and activated carbon adsorption can improve air quality to a certain extent, but they often have problems such as low purification efficiency, high maintenance cost, and easy generation of secondary pollution. They cannot perform real-time monitoring and accurate analysis and evaluation of the target air state, thus affecting the air purification effect and resulting in low purification efficiency and poor purification effect on pollutants such as particulate matter, bacteria, and viruses in the air.

[0003] Therefore, in the current air purification related technologies, there are technical problems that it is difficult to accurately analyze and evaluate the target air state, which in turn leads to incomplete purification of pollutants in the air and low purification efficiency. Summary of the Invention

[0004] This application provides an air purification method and device based on the cooperation of static electricity and negative ions. By using technical means such as data monitoring, image data analysis and extraction, and display of extraction results, it solves the technical problems existing in the existing air purification that it is difficult to accurately analyze and evaluate the target air state, which in turn leads to incomplete purification of pollutants in the air and low purification efficiency, realizes the automated and intelligent management of air purification equipment, and achieves the technical effect of improving air purification efficiency.

[0005] This application provides an air purification method based on the cooperation of static electricity and negative ions. The method includes: obtaining the target air state, where the target air state refers to the real-time air monitoring result of the target space; introducing an air quality evaluation function to evaluate and analyze the target air state to obtain a target air index; determining whether the target air index is within a predetermined air index threshold to obtain a target determination result; and activating a target purification device according to the target determination result, and performing real-time air purification on the target space through the target purification device.

[0006] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: the target air state includes a target particulate state and a target gas concentration of a predetermined gas, the target particulate state includes a target particulate concentration and a target particle size concentration ratio, and the target particle size concentration ratio is the ratio of the particulate concentration below PM2.5 to the particulate concentration above PM2.5.

[0007] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions performs the following processing: the expression of the air quality evaluation function is as follows: ; Wherein, refers to the target air index of the target space at time, , , and respectively refer to the target particulate matter concentration, the particulate matter concentration below PM2.5, the particulate matter concentration above PM2.5, and the target gas concentration at and are the first feedback coefficient and the second feedback coefficient respectively, and , refers to the target gas concentration and the correlation index of the target air index, and are the third feedback coefficient and the fourth feedback coefficient respectively, and , and are the first weight and the second weight respectively.

[0008] In a possible implementation, the air purification method based on the cooperation of static electricity and negative ions performs the following processing: according to the target judgment result, when the target air index is within the predetermined air index threshold, activate the electrostatic dust removal device in the target purification device; read the predetermined purification evaluation strategy, and obtain the optimal electrostatic dust removal scheme of the electrostatic dust removal device with the predetermined purification evaluation strategy; perform air purification on the target space according to the optimal electrostatic dust removal scheme.

[0009] In a possible implementation, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: Step a: randomly obtain a first electrostatic dust removal scheme according to the predetermined purification evaluation strategy, and obtain the first simulation information of the first electrostatic dust removal scheme; Step b: perform normalized weighting on the first simulation dust removal efficiency, the first simulation dust removal quality, and the first simulation dust removal energy consumption in the first simulation information to obtain the first scheme fitness of the first electrostatic dust removal scheme; Step c: obtain the second scheme fitness of the second electrostatic dust removal scheme according to the predetermined purification evaluation strategy; Step d: determine the optimal electrostatic dust removal scheme by comparing the first scheme fitness with the second scheme fitness; Step e: repeat steps a to d until a predetermined number of iterations is reached, and output the optimal electrostatic dust removal scheme at that time.

[0010] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: The first simulation information includes a first simulated electric field strength, a first simulated dust removal result, and a first simulated corona power.

[0011] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: The first simulation information further includes a first simulated ozone concentration, and the first simulated ozone concentration is used to adjust the fitness of the first solution.

[0012] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: According to the target judgment result, when the target air index is not within the predetermined air index threshold, activate the negative ion purification device in the target purification device; read a predetermined purification evaluation strategy, and obtain the optimal negative ion concentration of the negative ion purification device according to the predetermined purification evaluation strategy; purify the air in the target space according to the optimal negative ion concentration.

[0013] In a possible implementation manner, the air purification method based on the cooperation of static electricity and negative ions further performs the following processing: According to the correspondence between the target air index and the time, generate a target index time series; perform regression fitting analysis on the target index scatter plot generated by the target index time series to obtain a target fitting polynomial; perform predictive analysis and purification on the air index of the target space based on the target fitting polynomial.

[0014] This application further provides an air purification device based on the cooperation of static electricity and negative ions, including: a target air state acquisition module, configured to acquire a target air state, where the target air state refers to the real-time air monitoring result of a target space; a target air index obtaining module, configured to introduce an air quality evaluation function to evaluate and analyze the target air state to obtain a target air index; a target judgment result obtaining module, configured to judge whether the target air index is within a predetermined air index threshold to obtain a target judgment result; a target purification device activation module, configured to activate a target purification device according to the target judgment result, and perform real-time air purification on the target space through the target purification device.

[0015] The air purification method and device based on the cooperation of static electricity and negative ions proposed in this application are used to obtain the target air state; introduce an air quality evaluation function to evaluate and analyze the target air state to obtain the target air index; determine whether the target air index is within the predetermined air index threshold to obtain the target judgment result; activate the target purification device according to the target judgment result, and perform real-time air purification on the target space through the target purification device. This solves the technical problem that existing air purification is difficult to accurately analyze and evaluate the target air state, resulting in incomplete purification of air pollutants and low purification efficiency, realizes the automatic and intelligent management of air purification equipment, and achieves the technical effect of improving air purification efficiency. Brief Description of the Drawings

[0016] To more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the device according to the embodiments of the application. It should be understood that the operations before or below do not necessarily need to be executed precisely in sequence. On the contrary, according to needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1 It is a schematic flowchart of the air purification method based on the cooperation of static electricity and negative ions provided by the embodiments of the present application.

[0018] Figure 2 It is a schematic structural diagram of the air purification device based on the cooperation of static electricity and negative ions provided by the embodiments of the present application.

[0019] Description of the reference numerals: Target air state acquisition module 10, target air index acquisition module 20, target judgment result acquisition module 30, target purification device activation module 40. Detailed Embodiments

[0020] The above description is only an overview of the technical solutions of this application. In order to be able to understand the technical means of this application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of this application more obvious and understandable, the following specifically presents the detailed embodiments of this application.

[0021] In order to make the purpose, technical solutions and advantages of this application clearer, the present application will be further described in detail below with reference to the drawings. The described embodiments should not be regarded as limitations of this application. All other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of this application.

[0022] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0023] The present application provides an air purification method based on electrostatic negative ion synergy, such as Figure 1 As shown, the method includes: Step S100, obtaining a target air state, where the target air state refers to a real-time air monitoring result of a target space. The target air state refers to the result obtained by real-time air monitoring of the air quality in the target space (such as a room, office, workshop, etc.), which usually includes multiple key indicators that can reflect the air quality, such as particulate matter concentration, harmful gas concentration, temperature and humidity, and microbial content. Specifically, particulate matter concentration, such as PM2.5 (fine particulate matter, with a diameter less than or equal to 2.5 microns), PM10 (inhalable particulate matter, with a diameter less than or equal to 10 microns), etc., these particles have a great impact on human health; harmful gas concentration, such as carbon dioxide, carbon monoxide, volatile organic compounds, formaldehyde, ozone, sulfur dioxide, nitrogen dioxide, etc., these gases may come from indoor decoration, furniture, human exhalation or outdoor pollution; temperature and humidity are important factors affecting indoor comfort and air quality. Too high or too low temperature and humidity may have an adverse effect on human health and indoor air quality; microbial content, such as the content of microorganisms such as bacteria, viruses, and molds, these microorganisms may be transmitted through the air and pose a threat to human health; monitoring of parameters such as air flow rate, fresh air volume and negative ion concentration.

[0024] In a possible implementation, step S100 further includes step S110. The target air state includes the target particulate matter state and the target gas concentration of a predetermined gas. The target particulate matter state includes the target particulate matter concentration and the target particle size concentration ratio. The target particle size concentration ratio refers to the ratio of the particulate matter concentration below PM2.5 to the particulate matter concentration above PM2.5. The air quality state in the target space (such as the indoor environment) includes the target particulate matter state and the target gas concentration of a predetermined gas. The target particulate matter concentration refers to the total amount or concentration of particulate matter (such as PM2.5, PM10, etc.) in the target space, usually expressed as the mass of particulate matter per unit volume (such as micrograms per cubic meter). High concentrations of particulate matter have an adverse impact on human health and environmental quality. The target particle size concentration ratio refers to the ratio of the particulate matter concentration below PM2.5 to the particulate matter concentration above PM2.5, reflecting the relative distribution of particulate matter of different particle sizes in the air. Specifically, particulate matter below PM2.5 has a diameter less than or equal to 2.5 micrometers and has a particularly significant impact on human health, being able to penetrate deep into the lungs and even enter the blood circulation system. Particulate matter above PM2.5 has a diameter greater than 2.5 micrometers. Although its direct impact on human health may be relatively small, it will affect air quality to a certain extent. The level of the target particle size concentration ratio reflects the relative content of fine particulate matter and coarse particulate matter in the air. In some cases, a high ratio means that more fine particulate matter is present in the air, posing a greater threat to public health. The target gas concentration of a predetermined gas refers to the concentration limit or target value of harmful gases (such as carbon dioxide, carbon monoxide, ozone, etc.) in the target space. Different gases have different impacts on human health and environmental quality.

[0025] Step S200, introduce an air quality evaluation function to evaluate and analyze the target air state to obtain a target air index. The target air state is evaluated and analyzed using the air quality evaluation function, and the air state parameters (such as particulate matter concentration, harmful gas concentration, temperature and humidity, etc.) monitored in real time are converted into a single, quantifiable indicator, namely, the target air index. The target air index is a value that comprehensively reflects the air quality status. It simplifies the concentrations of multiple air pollutants into a single value that is easy to understand and compare, so as to facilitate understanding of the air quality status and taking corresponding measures. Specifically, the original air quality monitoring data collected by monitoring is preprocessed, including removing abnormal values, filling missing values, and data conversion, so as to ensure the accuracy and reliability of the data. For each major pollutant, the air quality sub-index value of each pollutant is calculated according to its concentration value and the corresponding air quality sub-index concentration limit table. From the calculated air quality sub-index values ​​of the pollutants, the pollutant with the largest air quality sub-index value is selected as the primary pollutant, and its corresponding air quality sub-index value is used as the target air index value of the monitoring point. If the air quality sub-index values ​​of multiple pollutants are the same and the largest, they are listed as the primary pollutants.

[0026] In a possible implementation, step S200 further includes: the expression of the air quality evaluation function is as follows: ; in, The target space is The target air index at time, , , and They are The target particle concentration at the time, the particle concentration below PM2.5, the particle concentration above PM2.5 and the target gas concentration, and are the first feedback coefficient and the second feedback coefficient respectively, and , Refers to the target gas concentration With the target air index The correlation index, and are the third feedback coefficient and the fourth feedback coefficient respectively, and , and are the first weight and the second weight respectively.

[0027] Step S300: Determine whether the target air index is within a predetermined air index threshold to obtain a target judgment result. Compare the target air index value obtained through real-time monitoring and calculation with the pre-set air quality standard or threshold to determine whether the current air quality condition meets specific requirements or standards. Specifically, the predetermined air index threshold is the limit value for the air quality condition and pollutant concentration to be qualified set according to the air quality standard, which is used to indicate whether the air quality condition is good. For example, the target air quality index is divided into six grades, from excellent to poor, which are: excellent (0 - 50), good (51 - 100), light pollution (101 - 150), moderate pollution (151 - 200), heavy pollution (201 - 300), and severe pollution (>300). The larger the target air index value, the worse the air quality and the greater the impact on human health. According to the comparison result of the calculated target air index value with the predetermined air quality threshold, the target judgment result is obtained, that is, whether the current air quality meets the standard (such as being in the excellent or good grade), or whether it exceeds the standard (such as being in the light pollution, moderate pollution, heavy pollution, or severe pollution grade), which reflects the quality of the current air in the target space (such as a room, office, workshop, etc.).

[0028] Step S400: Activate the target purification device according to the target judgment result, and perform real-time air purification on the target space through the target purification device. Select a suitable air purification device according to the specific situation of the target space and the air purification requirements, and ensure that the target purification device is in a normal working state, including checking whether components such as the power supply, filter, and sensor are in good condition, and whether replacement or cleaning is required. According to the target judgment result, when the air quality does not meet the standard (that is, the target air index value exceeds the predetermined threshold), activate the target purification device through intelligent control. The target purification device purifies the air in the target space through its built-in purification technologies (including electrostatic precipitation, negative ion generation, etc.). Specifically, the device sucks the air in the target space into the device through components such as a fan. The sucked air is processed by the purification unit of the device. Using the electrostatic technology, that is, making the dust particles in the air charged through a high-voltage electric field, and then using the electric field force to adsorb them onto the dust collection plate, so as to effectively remove the suspended particulate matter in the air. Using the negative ion technology, combining negative ions with pollutants such as bacteria, viruses, and fine dust in the air to make them settle or lose their activity, achieving the purpose of purifying the air. Combining these two technologies organically can greatly improve the air purification efficiency and realize the improvement of air quality in the target space, thus protecting people's health and quality of life.

[0029] In a possible implementation, step S400 further includes step S410. According to the target judgment result, when the target air index is at the predetermined air index threshold, activate the electrostatic dust removal device in the target purification device. When the target judgment result indicates that the target air index is at or exceeds the predetermined air index threshold, it means that the air quality in the current target space (such as a room, office, workshop, etc.) has reached a level where measures need to be taken for purification. The system will automatically or according to preset instructions activate the electrostatic dust removal device in the target purification device. Specifically, if the target air index value reaches or exceeds the predetermined threshold, the system will, according to preset logic or instructions, automatically execute an operation to activate the electrostatic dust removal part in the target purification device, which may include sending a signal to the controller of the purification device to switch it to the electrostatic dust removal mode, or starting a circuit specifically for controlling the electrostatic dust removal device. After being activated, the electrostatic dust removal device will start to work. Using the electrostatic principle, it makes the particulate matters (such as dust, pollen, smoke, etc.) in the air carry charges through a high-voltage electric field, and then uses a dust collecting plate or a dust collector to collect these charged particulate matters, thereby achieving the purpose of purifying the air. During the operation of the electrostatic dust removal device, continuously monitor the air quality in the target space and adjust the working parameters (such as voltage, current, wind speed, etc.) of the electrostatic dust removal device as needed to ensure the best purification effect.

[0030] Step S420, read the predetermined purification evaluation strategy and obtain the optimal electrostatic dust removal plan for the electrostatic dust removal device with the predetermined purification evaluation strategy. The predetermined purification evaluation strategy evaluates and optimizes the performance of the electrostatic dust removal device based on various factors, including the size of the target space, air quality requirements, device performance parameters (the processing capacity, efficiency, energy consumption, etc. of the electrostatic dust removal device), and energy efficiency, etc. According to the predetermined purification evaluation strategy, evaluate the electrostatic dust removal device and determine the optimal electrostatic dust removal plan. Specifically, collect the air quality data, device operation status data, etc. in the target space. Based on the collected data, evaluate the performance of the electrostatic dust removal device, including indicators such as dust removal efficiency and energy consumption. According to the evaluation results and the predetermined strategy, optimize the electrostatic dust removal plan. For example, optimize the structure and distribution of the electric field to improve the efficiency of ionization and dust trapping; adjust the working voltage and current of the electrostatic dust removal device to reduce energy consumption while maintaining high dust removal efficiency; select suitable electrode and dust collecting plate materials to improve the durability and purification effect of the device; finally obtain an optimal electrostatic dust removal plan, which will comprehensively consider factors such as target space conditions, air quality requirements, device performance parameters, and energy efficiency to ensure that the electrostatic dust removal device can operate in the best state and achieve the best purification effect.

[0031] Step S430: Purify the air in the target space according to the optimal electrostatic dust removal solution. The air in the target space is purified according to the obtained optimal electrostatic dust removal solution. The electrostatic dust removal equipment will operate according to the predetermined parameters and modes, generate an electrostatic field to charge the particulate matter in the air and deposit it on the dust collection plate, so as to achieve the purpose of purifying the air. At the same time, the change of air quality is monitored in real time, and the electrostatic dust removal solution is adjusted as needed to ensure the purification effect and ensure that the air quality in the target space always remains within an acceptable level.

[0032] In a possible implementation, step S430 further includes step a: randomly obtain a first electrostatic dust removal solution according to the predetermined purification evaluation strategy, and obtain the first simulation information of the first electrostatic dust removal solution. According to the parameter range and constraint conditions defined in the predetermined purification evaluation strategy, randomly generate an electrostatic dust removal solution as the starting point, which is called the first electrostatic dust removal solution. Use simulation software or model to simulate the operation of the first electrostatic dust removal solution and obtain its simulation information, which usually includes the dust removal efficiency (i.e., the proportion of particulate matter removed from the air), the dust removal quality (which may refer to the total amount or mass of particulate matter removed), and the dust removal energy consumption (the energy consumed by the equipment operation).

[0033] Step b: Normalize and weight the first simulation dust removal efficiency, the first simulation dust removal quality, and the first simulation dust removal energy consumption in the first simulation information to obtain the first solution fitness of the first electrostatic dust removal solution. Since the units and magnitudes of the dust removal efficiency, the dust removal quality, and the dust removal energy consumption may be different, it is necessary to normalize them for comparison on the same scale. According to the weights given in the predetermined purification evaluation strategy, perform weighted summation on the normalized dust removal efficiency, the dust removal quality, and the dust removal energy consumption to obtain the first solution fitness of the first electrostatic dust removal solution, which reflects the performance of the solution after comprehensively considering multiple factors.

[0034] Step c: Obtain the second solution fitness of the second electrostatic dust removal solution according to the predetermined purification evaluation strategy. Similar to steps a and b, obtain and evaluate another (second) electrostatic dust removal solution. The second electrostatic dust removal solution is also randomly generated completely. Similarly, evaluate and obtain the second solution fitness corresponding to the second electrostatic dust removal solution, which reflects the comprehensive performance of the solution.

[0035] Step d: Determine the optimal electrostatic dust removal solution by comparing the first solution fitness with the second solution fitness. Compare the first solution fitness with the second solution fitness. If the fitness of the second solution is higher, it is regarded as the current optimal electrostatic dust removal solution; otherwise, the first electrostatic dust removal solution is regarded as the current optimal electrostatic dust removal solution.

[0036] Step e: Repeat steps a to d until a predetermined number of iterations is reached, and output the optimal electrostatic dust removal solution at that time. By repeatedly executing steps a to d, continuously generating new electrostatic dust removal solutions and evaluating their fitness, a better electrostatic dust removal solution is sought until the predetermined number of iterations is reached. After reaching the predetermined number of iterations, the optimal electrostatic dust removal solution found at this time is output as the final result. This solution is obtained by comprehensively evaluating multiple factors according to a predetermined purification evaluation strategy during multiple iterative optimization processes, and has a high dust removal efficiency and low energy consumption.

[0037] In a possible implementation, step S430 further includes that the first simulation information includes the first simulated electric field intensity, the first simulated dust removal result, and the first simulated corona power. The first simulated electric field intensity represents the force exerted by the electric field force on a unit positive charge at a certain point in the electric field. In the simulation of electrostatic dust removal, the electric field intensity is an important indicator for evaluating the ionization and capture ability of the electric field on airborne particles. The magnitude and distribution of the electric field intensity directly affect the dust removal efficiency. Generally speaking, the higher the electric field intensity, the better the ionization and capture effect on particles, but it will also bring higher energy consumption and equipment costs. Therefore, it is necessary to find the best balance point of the electric field intensity in the simulation; the first simulated dust removal result refers to the removal effect of the electrostatic dust removal equipment on airborne particles under simulation conditions, usually including indicators such as dust removal efficiency, dust removal quality, or the total amount of removed particles. The dust removal result is the direct basis for measuring the performance of the electrostatic dust removal solution. By the simulated dust removal result, the dust removal effects of different solutions under the same conditions can be evaluated, and then the optimal solution can be selected; the first simulated corona power is a measure of the driving ability of the corona discharge device on the ionic wind. In electrostatic dust removal, corona discharge is the key process for generating ionized air and charged particles, and the corona power reflects the strength of this process. The magnitude of the corona power directly affects the efficiency of ionizing air and charged particles, and thus affects the dust removal effect. In the simulation, the ionization ability and potential dust removal performance of the electrostatic dust removal equipment can be evaluated by calculating the corona power.

[0038] In a possible implementation, step S430 further includes that the first simulation information further includes a first simulated ozone concentration, which is used to adjust the fitness of the first solution. The first simulated ozone concentration refers to the concentration of ozone in the electrostatic precipitation environment simulated during the simulation process. As a strong oxidant, ozone may affect the performance of electrostatic precipitation equipment under specific conditions, and may also have potential impacts on the environment and human health. The generation of ozone may come from multiple aspects, such as natural processes in the air, corona discharge inside the electrostatic precipitation equipment, etc. Specifically, in the evaluation of electrostatic precipitation solutions, if the simulation results show that the ozone concentration is within a reasonable range and has a positive effect on the electrostatic precipitation process (such as promoting the oxidation and decomposition of particulate matter), a certain positive evaluation can be given when evaluating the fitness of the first solution; if the ozone concentration is too high, it will corrode the equipment materials, affect the equipment life, or pose a hazard to human health. This negative impact needs to be considered when evaluating the fitness of the first solution, and the solution should be adjusted accordingly; according to the simulation results, the operating parameters of the electrostatic precipitation equipment (such as voltage, current, gas flow, etc.) can be adjusted to reduce the generation amount of ozone or improve the removal efficiency of ozone.

[0039] In a possible implementation, step S400 further includes step S440. According to the target judgment result, when the target air index is not within the predetermined air index threshold, the negative ion purification device in the target purification device is activated. According to the target judgment result, if the target air index does not reach the predetermined air index threshold, it indicates that the current air quality does not meet the set standard and measures need to be taken to improve it. The system automatically activates the negative ion purification device in the purification device installed in the target space. The negative ion purification device is a specific functional module in the purification device that purifies the air by releasing negative ions into the air. When activated, the negative ion purification device will start to work and release a large number of negative ions into the target space. These negative ions will combine with pollutants in the air (such as dust, bacteria, viruses, odor molecules, etc.) and remove or convert them into harmless substances through coagulation, sedimentation, redox reactions, etc., thereby improving the air quality.

[0040] Step S450, read the predetermined purification evaluation strategy, and obtain the optimal negative ion concentration of the negative ion purification device according to the predetermined purification evaluation strategy. By reading and applying the predetermined purification evaluation strategy, the system calculates the optimal negative ion concentration required to achieve the best purification effect under the current air quality conditions, considering various factors such as the removal efficiency of pollutants, purification speed, energy consumption, and human comfort. This concentration value will be used as the basis for subsequent air purification operations, enabling the negative ion purification device to purify the air efficiently and energy - savingly at the optimal negative ion concentration, while ensuring human health and comfort.

[0041] Step S460, purify the air in the target space according to the optimal negative ion concentration. After determining the optimal negative ion concentration, the negative ion purification device will release negative ions according to this concentration value to purify the air in the target space. The negative ions will combine with the pollutants in the air and remove these pollutants through sedimentation, conversion, etc., thereby improving the air quality. For different types of pollutants and different air quality conditions, different purification strategies and parameter settings may be required to achieve the best purification effect.

[0042] In a possible implementation manner, step S200 further includes step S210 of generating a target index time series according to the correspondence between the target air index and the corresponding relationship at the moment. Assign a timestamp to each air index data point to indicate when the data was measured. Arrange the air index data in the order of the timestamps to form a time series, that is, the target index time series. This time series shows the change of the air quality in the target space over time.

[0043] Step S220, perform regression fitting analysis on the target index scatter plot generated from the target index time series to obtain a target fitting polynomial. Based on multiple data points of the target index time series, draw a scatter plot on a two-dimensional plane. The horizontal axis represents time (which can be date, time, or time serial number), and the vertical axis represents the air index (such as PM2.5 concentration). Each data point represents the air quality condition at a certain moment. After drawing the scatter plot, select a suitable regression model for fitting according to the distribution pattern of the scatter plot. If the scatter plot generally shows a linear trend, select a linear regression model; if the scatter plot shows a curve trend, select a non-linear regression model such as polynomial regression, exponential regression, or logarithmic regression. Apply the selected regression model to the data points in the scatter plot, and find the best fitting parameters through mathematical methods (such as the least squares method) so that the model can best describe the change law of the air index over time. After the fitting is completed, the model needs to be evaluated to determine the quality of its fitting effect. Finally, obtain the target fitting polynomial, which describes the mathematical relationship between the air index and time.

[0044] Step S230: Perform predictive analysis and purification on the air index of the target space based on the target fitting polynomial. Use the target fitting polynomial to predict the air index at a future time point. That is, by inputting the corresponding time value into the polynomial equation, the corresponding predicted air index value can be calculated. According to the predicted air index value, formulate a corresponding air purification plan. If the prediction result shows that the air quality will deteriorate, take measures such as strengthening ventilation and increasing air purification equipment to improve the air quality. According to the formulated purification plan, implement corresponding purification measures in the target space, which may include turning on air purification equipment, increasing indoor green plants, reducing pollution sources, etc. After implementing the purification measures, continuously monitor the change of air quality, and make necessary adjustments and optimizations to the purification plan according to the monitoring results.

[0045] In the above text, with reference to Figure 1 the air purification method based on the cooperation of static electricity and negative ions according to the embodiments of the present invention is described in detail. Next, with reference to Figure 2 the air purification device based on the cooperation of static electricity and negative ions according to the embodiments of the present invention will be described.

[0046] The air purification device based on the cooperation of static electricity and negative ions according to the embodiments of the present invention is used to solve the technical problems existing in the existing air purification, such as the difficulty in accurately analyzing and evaluating the target air state, which leads to incomplete purification of air pollutants and low purification efficiency. It realizes the automatic and intelligent management of air purification equipment and achieves the technical effect of improving the air purification efficiency. The air purification device based on the cooperation of static electricity and negative ions includes: a target air state acquisition module 10, a target air index acquisition module 20, a target judgment result acquisition module 30, and a target purification equipment activation module 40.

[0047] The target air state acquisition module 10 is used to acquire the target air state, where the target air state refers to the real-time air monitoring result of the target space; the target air index acquisition module 20 is used to introduce an air quality evaluation function to evaluate and analyze the target air state to obtain the target air index; the target judgment result acquisition module 30 is used to judge whether the target air index is within a predetermined air index threshold to obtain the target judgment result; the target purification equipment activation module 40 is used to activate the target purification equipment according to the target judgment result and perform real-time air purification on the target space through the target purification equipment.

[0048] Next, the specific configuration of the target air state acquisition module 10 will be described in detail. The target air state acquisition module 10 may further include: The target air state includes the target particulate matter state and the target gas concentration of a predetermined gas. The target particulate matter state includes the target particulate matter concentration and the target particle size concentration ratio. The target particle size concentration ratio refers to the ratio of the particulate matter concentration below PM2.5 to the particulate matter concentration above PM2.5.

[0049] Next, the specific configuration of the target air index acquisition module 20 will be described in detail. The target air index acquisition module 20 further includes: The expression of the air quality evaluation function is as follows: ; Wherein, refers to the target air index of the target space at moment, , , and respectively refer to the target particulate matter concentration, the particulate matter concentration below PM2.5, the particulate matter concentration above PM2.5, and the target gas concentration at and are the first feedback coefficient and the second feedback coefficient respectively, and , refers to the target gas concentration and the correlation index of the target air index, and are the third feedback coefficient and the fourth feedback coefficient respectively, and , and are the first weight and the second weight respectively.

[0050] Next, the specific configuration of the target purification device activation module 40 will be described in detail. The target purification device activation module 40 may further include: According to the target judgment result, when the target air index is within the predetermined air index threshold, activate the electrostatic precipitation device in the target purification device; Read the predetermined purification evaluation strategy, and obtain the optimal electrostatic precipitation scheme of the electrostatic precipitation device with the predetermined purification evaluation strategy; Purify the air in the target space according to the optimal electrostatic precipitation scheme.

[0051] Next, the specific configuration of the target purification device activation module 40 will be further described in detail. The target purification device activation module 40 may further include: Step a: randomly obtain a first electrostatic precipitation scheme according to the predetermined purification evaluation strategy, and obtain first simulation information of the first electrostatic precipitation scheme; Step b: perform normalized weighting on the first simulation dust removal efficiency, the first simulation dust removal quality, and the first simulation dust removal energy consumption in the first simulation information to obtain a first scheme fitness of the first electrostatic precipitation scheme; Step c: obtain a second scheme fitness of a second electrostatic precipitation scheme according to the predetermined purification evaluation strategy; Step d: determine the optimal electrostatic precipitation scheme by comparing the first scheme fitness with the second scheme fitness; Step e: repeat Steps a to d until a predetermined number of iterations is reached, and output the optimal electrostatic precipitation scheme at that time.

[0052] Next, the specific configuration of the target purification device activation module 40 will be further described in detail. The target purification device activation module 40 may further include: The first simulation information includes a first simulation electric field strength, a first simulation dust removal result, and a first simulation corona power.

[0053] Next, the specific configuration of the target purification device activation module 40 will be further described in detail. The target purification device activation module 40 may further include: The first simulation information further includes a first simulation ozone concentration, and the first simulation ozone concentration is used to adjust the first scheme fitness.

[0054] Next, the specific configuration of the target purification device activation module 40 will be further described in detail. The target purification device activation module 40 may further include: according to the target judgment result, when the target air index is not within the predetermined air index threshold, activate the negative ion purification device in the target purification device; read the predetermined purification evaluation strategy, and obtain the optimal negative ion concentration of the negative ion purification device with the predetermined purification evaluation strategy; perform air purification on the target space according to the optimal negative ion concentration.

[0055] Next, the specific configuration of the target purification device activation module 40 will be further described in detail. The target purification device activation module 40 may further include: according to the correspondence between the target air index and the corresponding relationship at a moment, generate a target index time series; perform regression fitting analysis on the target index scatter plot generated by the target index time series to obtain a target fitting polynomial; perform predictive analysis and purification on the air index of the target space based on the target fitting polynomial.

[0056] The air purification device based on the cooperation of static electricity and negative ions provided by the embodiments of the present invention can execute the air purification method based on the cooperation of static electricity and negative ions provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0057] Although this application makes various references to certain modules in the device according to the embodiments of this application, however, any number of different modules can be used and run on the user terminal and / or server. The included individual units and modules are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0058] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. An air purification method based on electrostatic negative ion synergy, characterized in that: include: Acquire a target air state, where the target air state refers to a real-time air monitoring result of a target space; An air quality evaluation function is introduced to evaluate and analyze the target air state to obtain a target air index; Determining whether the target air index is within a predetermined air index threshold value, and obtaining a target determination result; activating a target purification device according to the target judgment result, and performing real-time air purification on the target space through the target purification device; Wherein, the target air state includes a target particle state and a target gas concentration of a predetermined gas, the target particle state includes a target particle concentration and a target particle size concentration ratio, and the target particle size concentration ratio refers to the ratio of the particle concentration below PM2.5 to the particle concentration above PM2.5; Among them, it also includes: According to the target air index and The corresponding relationship of the moments generates the target index time series; Performing regression fitting analysis on the target index scatter plot generated by the target index time series to obtain a target fitting polynomial; Based on the target fitting polynomial, predictive analysis and purification are performed on the air index of the target space.

2. The air purification method based on electrostatic negative ion synergy according to claim 1 is characterized in that: The expression of the air quality evaluation function is as follows: ； in, The target space is The target air index at time, , , and They are The target particle concentration at the time, the particle concentration below PM2.5, the particle concentration above PM2.5 and the target gas concentration, and are the first feedback coefficient and the second feedback coefficient respectively, and , Refers to the target gas concentration With the target air index The correlation index, and are the third feedback coefficient and the fourth feedback coefficient respectively, and , and are the first weight and the second weight respectively.

3. The air purification method based on electrostatic negative ion synergy according to claim 1 is characterized in that: include: According to the target judgment result, when the target air index is within the predetermined air index threshold, activating the electrostatic dust removal device in the target purification device; Reading a predetermined purification evaluation strategy, and obtaining an optimal electrostatic precipitator solution for the electrostatic precipitator using the predetermined purification evaluation strategy; The target space is air purified according to the optimal electrostatic dust removal scheme.

4. The air purification method based on electrostatic negative ion synergy according to claim 3 is characterized in that: include: Step a: randomly acquiring a first electrostatic precipitator scheme according to the predetermined purification evaluation strategy, and acquiring first simulation information of the first electrostatic precipitator scheme; Step b: normalizing and weighting the first simulated dust removal efficiency, the first simulated dust removal quality and the first simulated dust removal energy consumption in the first simulation information to obtain the first scheme fitness of the first electrostatic dust removal scheme; Step c: obtaining the second scheme fitness of the second electrostatic precipitator scheme according to the predetermined purification evaluation strategy; Step d: determining the optimal electrostatic dust removal scheme by comparing the fitness of the first scheme with the fitness of the second scheme; Step e: Repeat steps a to d until a predetermined number of iterations is reached, and output the optimal electrostatic dust removal scheme at that time.

5. The air purification method based on electrostatic negative ion synergy according to claim 4 is characterized in that: The first simulation information includes a first simulated electric field strength, a first simulated dust removal result and a first simulated corona power.

6. The air purification method based on electrostatic negative ion synergy according to claim 4 is characterized in that: The first simulation information also includes a first simulated ozone concentration, and the first simulated ozone concentration is used to adjust the fitness of the first solution.

7. The air purification method based on electrostatic negative ion synergy according to claim 1 is characterized in that: include: According to the target judgment result, when the target air index is not within the predetermined air index threshold, activating the negative ion purification device in the target purification device; Reading a predetermined purification evaluation strategy, and obtaining an optimal negative ion concentration of the negative ion purification device according to the predetermined purification evaluation strategy; The target space is air purified according to the optimal negative ion concentration.

8. An air purification device based on electrostatic negative ion synergy, characterized in that: The device is used to implement the air purification method based on electrostatic negative ion synergy according to any one of claims 1 to 7, and the device comprises: A target air state acquisition module is used to acquire a target air state, where the target air state refers to a real-time air monitoring result of a target space; A target air index obtaining module is used to introduce an air quality evaluation function to evaluate and analyze the target air state to obtain a target air index; A target judgment result obtaining module is used to judge whether the target air index is within a predetermined air index threshold value and obtain a target judgment result; The target purification device activation module is used to activate the target purification device according to the target judgment result, and perform real-time air purification on the target space through the target purification device.

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