Air quality evaluation method and device, air purification equipment and storage medium

Abstract

The invention relates to the technical field of intelligent control, and discloses an air quality evaluation method and device, air purification equipment and a storage medium, and the method comprises the steps: obtaining original monitoring data of various pollutants; performing format conversion on each piece of original monitoring data to correspondingly obtain standard data, which comprises the following steps of: respectively determining air quality standard limit values of various pollutants; respectively dividing the original monitoring data of various pollutants by corresponding air quality standard limit values to correspondingly obtain standard data; respectively determining the current weight of each standard data, and calculating an air quality index by utilizing all the standard data and the corresponding current weight; and determining the current quality grade corresponding to the air quality index, and controlling the air purification equipment to perform corresponding work based on the current quality grade. According to the invention, format conversion is carried out on the original monitoring data, the current weight of the data is determined, the air quality index is calculated, the quality grade corresponding to the air quality index is determined to control equipment work, air quality can be comprehensively quantified, and the evaluation precision is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an air quality assessment method, device, air purification equipment and storage medium. Background Art

[0002] Existing air purification devices, such as air purifiers, typically directly display the values ​​detected by each gas sensor. However, due to the lack of comparability between the sensor values, independent thresholds must be used to determine the overall level of air pollution, making it difficult to quantify the overall degree of air pollution. Furthermore, this leads to fragmented purification strategies for air purification devices, making it impossible to generate coordinated and unified control instructions to regulate current air quality, which seriously affects the device's purification efficiency and effectiveness. Therefore, there is an urgent need for an evaluation solution for multi-source data to quantify air quality and thereby improve the intelligence and control precision of air purification devices. Summary of the Invention

[0003] In view of this, the present invention provides an air quality assessment method, device, air purification equipment and storage medium to solve the problem that the existing air quality is difficult to comprehensively quantify, resulting in the inability to effectively assess the air quality, which in turn seriously affects the intelligence level and control accuracy of the air purification equipment.

[0004] In a first aspect, the present invention provides an air quality assessment method, which is applied to an air purification device, and the method comprises: Obtain the data to be evaluated, which is the original monitoring data of various pollutants; Convert each original monitoring data into a format to obtain corresponding standard data, including: determining the corresponding air quality standard limit values ​​of various pollutants; dividing the original monitoring data of various pollutants by the corresponding air quality standard limit values ​​to obtain corresponding standard data; Determine the current weight of each standard data respectively, and calculate the air quality index using all standard data and the corresponding current weight; Determine the current quality level corresponding to the air quality index, and control the air purification equipment to perform corresponding work based on the current quality level.

[0005] The air quality assessment method provided by the present invention converts the formats of the obtained original monitoring data containing multiple pollutants respectively, specifically divides the original monitoring data with different dimensions by their corresponding air quality standard limits, and generates dimensionless standard data accordingly. This can eliminate the unit differences between the data and make the corresponding standard data comparable. It not only effectively solves the incomparability problem of multi-source data, but also can directly know the current pollution level of each pollutant based on the standard data, realizes the intuitive quantification of the pollution level, and thus improves the subsequent air quality assessment accuracy; and designs an evaluation method for dynamically determining the current weight of each standard data, calculating the current air quality index and evaluating the current quality level based on it, and finally controlling the operation of the air purification equipment according to the current quality level. This can realize comprehensive quantification of the air quality assessment corresponding to multi-source data, help improve the intelligence level and control accuracy of the air purification equipment, and greatly satisfy the user experience.

[0006] In an optional embodiment, determining the current weight of each standard data separately includes: Determine the initial weights of the standard data corresponding to various pollutants; Calculate the current deviations between the standard data and the corresponding air quality standard limits for each pollutant, and use each current deviation to adjust the corresponding initial weights to obtain the current weights of each standard data; and / or, In response to the user's operation of setting weights for standard data corresponding to various pollutants, the corresponding set values ​​are determined, and the corresponding initial weights are adjusted using each set value to obtain the current weight of each standard data.

[0007] The present invention has designed a "triple weight adjustment method of initial weight + real-time deviation + user setting", that is, by determining the initial weights of the standard data corresponding to various pollutants, and calculating in real time the current deviations between the standard data corresponding to various pollutants and the corresponding air quality standard limits, and / or identifying the weight values ​​of the standard data corresponding to various pollutants set by the user, and using the current deviation and / or weight value to dynamically adjust the initial weight, it can ensure the calculation accuracy of the current weight, thereby helping to improve the subsequent air quality assessment accuracy, and greatly improving the user experience.

[0008] In an optional embodiment, the air quality index is calculated using all standard data and corresponding current weights, including: Adding the current weights of the standard data to obtain a first value; Multiply each standard data by the corresponding current weight and then add them together to obtain a second value; The second value is divided by the first value to obtain the air quality index.

[0009] The first value of the present invention is the dynamic weight sum. Calculating the air quality index based on the dynamic weight sum can ensure the dimensional uniformity of the air quality index, while ensuring the accuracy and rationality of the air quality index calculation, which helps to ensure the accuracy and reliability of subsequent air quality assessments.

[0010] In an optional embodiment, determining a current quality level corresponding to the air quality index and controlling the air purification device to perform corresponding operations based on the current quality level includes: Match the air quality index with the preset level threshold range to determine the current quality level; Generate corresponding control signals for the current quality level and / or purification gear; Control the air purification device to display the control signal, and / or control the air purification device to perform purification according to the purification gear.

[0011] The present invention matches the current air quality index through a preset level threshold interval, thereby determining the current quality level, and generating a corresponding control signal and / or purification gear based on the current quality level to control the air purification device to display the control signal and / or purify according to the purification gear, which can improve the accuracy and pertinence of air quality judgment, thereby realizing the intelligence and efficiency of the purification process.

[0012] In an optional embodiment, controlling the air purification device to display the control signal includes: Determine the current interface color and current pop-up prompt corresponding to the control signal respectively; Based on the current interface color and the current pop-up prompt, the air purification equipment is controlled and displayed accordingly.

[0013] The present invention can achieve a visual display of "dynamic color change + targeted pop-up window" through interface colors and pop-up prompts set at different quality levels. Especially for control signals with air quality risks, it can realize intuitive, fast and efficient information communication, greatly improving the user experience.

[0014] In a second aspect, the present invention provides an air quality assessment device for use in air purification equipment, the device comprising: The data acquisition module is used to obtain the data to be evaluated, which is the original monitoring data of various pollutants; The format conversion module is used to convert the format of each raw monitoring data to obtain corresponding standard data, including: determining the corresponding air quality standard limit values ​​of various pollutants; dividing the raw monitoring data of various pollutants by the corresponding air quality standard limit values ​​to obtain corresponding standard data; An index calculation module is used to determine the current weight of each standard data and calculate the air quality index using all standard data and the corresponding current weight; The quality assessment module is used to determine the current quality level corresponding to the air quality index and control the air purification equipment to perform corresponding work based on the current quality level.

[0015] The air quality assessment device provided by the present invention converts the format of the original monitoring data of each pollutant respectively, specifically divides the original monitoring data of different dimensions by their corresponding air quality standard limits, and obtains dimensionless standard data, which helps to eliminate the unit differences between the data, thereby making the corresponding standard data comparable. It not only effectively solves the incomparability problem of multi-source data, but also can directly know the current pollution level of each pollutant based on the standard data, realizes the intuitive quantification of the pollution level, and improves the subsequent air quality assessment accuracy; and also designs an assessment method for dynamically determining the current weight of each standard data, calculating the current air quality index in real time and evaluating the current quality level based on it, and controlling the air purification equipment to perform corresponding work according to the current quality level. It can realize effective evaluation of multi-source data, and then can comprehensively and quantitatively evaluate the current air quality, greatly improving the intelligence level of the air purification equipment, and helping to ensure the control accuracy of the equipment.

[0016] In a third aspect, the present invention provides an air purification device, which includes a controller. The controller includes: a memory and a processor. The memory and the processor are communicatively connected to each other. Computer instructions are stored in the memory. The processor executes the air quality assessment method of the first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0017] In an optional embodiment, the air purification device is an air purifier.

[0018] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the air quality assessment method of the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 11 is a flow chart of an air quality assessment method according to an embodiment of the present invention; Figure 2 is a flow chart of another air quality assessment method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the overall framework of the air purifier; Figure 4 This is a workflow diagram of the data processing layer; Figure 5 is a structural block diagram of an air quality assessment device according to an embodiment of the present invention; Figure 6 2 is a schematic structural diagram of a controller according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0022] According to an embodiment of the present invention, an embodiment of an air quality assessment method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0023] In this embodiment, an air quality assessment method is provided, which is applied to air purification equipment. Figure 1 FIG. 1 is a flow chart of an air quality assessment method according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps: Step S101: obtaining data to be evaluated, where the data to be evaluated is original monitoring data of multiple pollutants.

[0024] It should be noted that in this embodiment, the data to be evaluated is acquired in real time through sensors installed on the air purification equipment. The specific contents of the air purification equipment, sensors, and data to be evaluated are not limited herein and can be adaptively adjusted based on actual needs. For example, the air purification equipment is an air purifier, and formaldehyde data is collected in real time through a formaldehyde sensor installed thereon. This is merely an example.

[0025] In step S102, each original monitoring data is formatted and corresponding standard data is obtained, including: determining the corresponding air quality standard limits of various pollutants; and dividing the original monitoring data of various pollutants by the corresponding air quality standard limits to obtain corresponding standard data.

[0026] In this embodiment, the format conversion in step S102 is intended to eliminate the dimensional differences of the original monitoring data corresponding to different pollutants and obtain comparable corresponding standard data.

[0027] In this embodiment, pollutants include at least PM2.5, PM10, CO, formaldehyde, and VOCs. It should be noted that air quality standard limits are established by authoritative organizations based on scientific research (such as toxicological studies of pollutants on humans and epidemiological data) to protect human health, the ecological environment, and the public interest. They set the maximum permissible concentrations of various air pollutants (such as particulate matter PM2.5 and gaseous pollutants CO) in the air. They are the core indicator for measuring air quality and the legal basis for environmental monitoring, pollution control, and air quality assessment.

[0028] In this embodiment, the specific value of the air quality standard limit can be determined by referring to the adaptability of the corresponding national standard limit value. For example, the national standard limit value of formaldehyde is 0.08 mg / m³, which is only for illustrative purposes.

[0029] In this embodiment, by uniformly dividing the original monitoring data with different dimensions by their corresponding air quality standard limits, corresponding dimensionless standard data are generated, which enables such heterogeneous data to be directly compared, effectively solving the incomparability problem of multi-source data; at the same time, the current pollution level of each pollutant can be directly known based on the standard data, realizing intuitive quantification of the pollution level.

[0030] Step S103 : determining the current weight of each standard data respectively, and calculating the air quality index using all the standard data and the corresponding current weight.

[0031] It should be noted that the Air Quality Index, also known as the Air Index (AQI), is an important indicator for quantitatively evaluating the quality of ambient air. It simplifies the concentrations of several routinely monitored air pollutants into a single conceptual index value based mainly on ambient air quality standards and the impact of various pollutants on human health, ecology, and the environment.

[0032] In this embodiment, the air quality index is used to comprehensively evaluate the acquired original monitoring data containing multiple pollutants, and the current air quality is evaluated based on the calculated air quality index.

[0033] Step S104: determining the current quality level corresponding to the air quality index, and controlling the air purification equipment to perform corresponding operations based on the current quality level.

[0034] In this embodiment, the current quality level is used to indicate the quality of the air in the current environment. Its specific content can be adjusted according to actual needs. For example, the current quality level includes level 1, level 2, and level 3; each level corresponds to a different air quality index range, and higher levels indicate more severe air pollution. This is for illustrative purposes only.

[0035] The air quality assessment method of the embodiment of the present invention, by converting the format of the obtained original monitoring data containing multiple pollutants respectively, obtains corresponding dimensionless standard data, can eliminate the unit differences between the data, make the corresponding standard data comparable, and thus improve the subsequent air quality assessment accuracy; at the same time, dynamically determine the current weight of each standard data, calculate the current air quality index and evaluate the current quality level based on it, and finally control the operation of the air purification equipment according to the current quality level, which can realize the comprehensive quantification of the air quality assessment corresponding to multi-source data, help to improve the intelligence level and control accuracy of the air purification equipment, and greatly satisfy the user experience.

[0036] In this embodiment, an air quality assessment method is provided, which is applied to air purification equipment. Figure 2 FIG. 1 is a flow chart of another air quality assessment method according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps: Step S201: Obtain the data to be evaluated, which is the original monitoring data of various pollutants. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0037] Step S202: Convert each raw monitoring data into a different format to obtain corresponding standard data, including: determining the corresponding air quality standard limit values ​​for each pollutant; dividing the raw monitoring data of each pollutant by the corresponding air quality standard limit values ​​to obtain corresponding standard data. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0038] Step S203 : determining the current weight of each standard data respectively, and calculating the air quality index using all the standard data and the corresponding current weight.

[0039] Specifically, the above step S203 includes: Step S2031: determine the initial weights of the standard data corresponding to various pollutants.

[0040] In this embodiment, the initial weights of the corresponding standard data are set based on the strictness of the national pollutant limit (i.e., the national standard limit). For example, the national standard limit for formaldehyde is 0.08 mg / m³, and the national standard limit for PM2.5 is 35 μg / m³. As can be seen from these two values, the national standard limit for formaldehyde is more stringent than that for PM2.5. Therefore, a higher initial weight is set for formaldehyde. This ensures that the weight allocation aligns with health risk priorities from the source, thereby avoiding the blindness of traditional empirical weighting. This is for illustrative purposes only.

[0041] Step S2032, respectively calculate the current deviations between the standard data corresponding to various pollutants and the corresponding air quality standard limits, and use each current deviation to adjust the corresponding initial weights to obtain the current weights of each standard data.

[0042] In this embodiment, the current deviation is used to represent the degree of deviation or difference between the actual measured concentration of a pollutant (i.e., the original monitoring data) and the corresponding national standard limit. The initial weight of the corresponding pollutant is dynamically adjusted based on the magnitude of the current deviation. The specific method of adjusting the weight can be adaptively adjusted according to actual needs. For example, if the current deviation between the measured formaldehyde value and the corresponding national standard limit is calculated to be 1.5, and this deviation value exceeds the set threshold, the initial weight of formaldehyde will be increased accordingly, such as adjusting the initial weight from 1.0 to 1.8. This is for illustrative purposes only.

[0043] Step S2033, and / or, in response to the user's operation of setting weights for standard data corresponding to various pollutants, determine the corresponding set values, and use each set value to adjust the corresponding initial weights respectively to obtain the current weights of each standard data.

[0044] In this embodiment, users can also adaptively set the weight values ​​of different pollutants based on their needs. The specific setting method can refer to conventional operations in the field. For example, in the scenario of users moving into a new home or for special groups (such as pregnant women), they are particularly concerned about the pollution caused by formaldehyde. Therefore, the formaldehyde weight value can be set by operating the touch screen or display screen of the air purification device (the screen provides a human-computer interface for user interaction with the device) (for example, the user manually increases the formaldehyde weight to 2.0). This greatly increases the dynamic adjustment range of the weight and meets the needs of different users.

[0045] In this embodiment, by determining the initial weights of the standard data corresponding to various pollutants, and calculating in real time the current deviations between the standard data corresponding to various pollutants and the corresponding air quality standard limits, and / or identifying the weight values ​​of the standard data corresponding to various pollutants set by the user, the initial weights are dynamically adjusted using the current deviations and / or weight values. The above-mentioned design of "initial weight + real-time deviation + user-set triple weight adjustment method" can ensure the calculation accuracy of the current weight, thereby helping to improve the subsequent air quality assessment accuracy and greatly improving the user experience.

[0046] Step S2034: add the current weights of the standard data to obtain a first value.

[0047] Step S2035: multiply each standard data by the corresponding current weight and then add the results to obtain a second value.

[0048] Step S2036: Divide the second value by the first value to obtain the air quality index.

[0049] In the embodiment of the present invention, the air quality index is calculated using the first value and the second value, which not only ensures the dimensional uniformity of the air quality index, but also guarantees the accuracy and rationality of the air quality index calculation, and further ensures the accuracy and reliability of the subsequent air quality assessment.

[0050] Step S204: determining the current quality level corresponding to the air quality index, and controlling the air purification equipment to perform corresponding operations based on the current quality level.

[0051] Specifically, the above step S204 includes: Step S2041 , matching the air quality index with a preset level threshold interval to determine the current quality level.

[0052] In this embodiment, the preset level threshold interval is the value range of the air quality index, and its specific content can be adaptively set according to actual needs. For example, assuming that the current quality level includes three levels, the preset level threshold interval set for the first level is: the air quality index is between 0-100, the preset level threshold interval set for the second level is: the air quality index is between 101-200, and the preset level threshold interval set for the third level is: the air quality index is greater than 200. This is for illustrative purposes only.

[0053] Step S2042: Generate a corresponding control signal and / or purification gear for the current quality level.

[0054] In this embodiment, this step aims to achieve intelligent and efficient purification. Specifically, when the current quality level is low (i.e., good air quality or lightly polluted air), the device can be set to operate at a low gear; when the current quality level is high (i.e., heavily polluted air), the device can be set to operate at a high gear. By determining the control signal and / or purification gear, the purification device can be ensured to "work on demand," avoiding excessive operation and waste of resources when air quality is good, and preventing poor purification results due to insufficient gears when pollution is severe, significantly improving the device's purification efficiency.

[0055] Step S2043: Control the air purification device to display the control signal, and / or control the air purification device to perform purification according to the purification gear.

[0056] Specifically, in step S2043, controlling the air purification device to display the control signal includes: Step a1: determine the current interface color and the current pop-up prompt corresponding to the control signal respectively.

[0057] In this embodiment, different quality levels can be represented by different settings of the interface color, such as the interface color green represents a low level (such as good air quality), and the interface color red represents a high level (i.e., the air quality is severely polluted); and when the current quality level exceeds the set standard level (i.e., air pollution), a pop-up prompt (i.e., an over-standard alarm) will be displayed.

[0058] Step a2: Based on the current interface color and the current pop-up window prompt, the air purification equipment is controlled to perform corresponding visual display.

[0059] In this embodiment, by setting interface colors and pop-up prompts at different quality levels, a visual display of "dynamic color change + targeted pop-up" can be achieved. Especially for control signals with air quality risks, intuitive, fast and efficient information communication can be achieved, greatly improving the user experience.

[0060] In summary, in this embodiment, the current air quality index is matched by a preset level threshold interval to determine the current quality level, and the corresponding control signal and / or purification gear is generated based on the current quality level to control the air purification equipment to display the control signal and / or purify according to the purification gear, which can improve the accuracy and pertinence of air quality judgment, and thus realize the intelligence and efficiency of the purification process.

[0061] In one specific embodiment, the air purification device is an air purifier. To address the difficulties of integrating multi-source data and quantifying comprehensive air quality in existing air purifiers, a smart multi-source data-integrated air quality assessment and decision-making solution is proposed. By constructing a multi-index standardized conversion model and a real-time confidence assessment algorithm, this solution enables comprehensive multi-pollutant assessment, adaptive data calibration, and intelligent collaborative control, significantly improving the intelligence and control accuracy of the air purifier. Figure 3 This is the overall framework diagram of the air purifier, consisting of Figure 3 It can be seen that the overall framework of the air purifier includes three parts: perception layer, data processing and display layer.

[0062] It should be noted that for the perception layer, this embodiment selects three common gas sensors as data sources: PM2.5 sensors, formaldehyde sensors, and VOC sensors. Each sensor can directly obtain the raw signals of environmental parameters, strictly adhering to the principle of "data transparency" and only performing basic conversion from physical signals to digital quantities. No filtering, calibration, or fusion processing is performed. All data correction and logical judgment are completed by the subsequent data processing layer. Specifically, the perception layer architecture design of this embodiment not only ensures the originality of sensor data, but also provides flexible multi-sensor compatibility for the air purifier.

[0063] It should be noted that the data processing layer of this embodiment mainly includes two parts: data preprocessing and data dynamic fusion. Figure 4 This is a workflow diagram of the data processing layer, such as Figure 4 As shown in the figure, the specific workflow includes: 1. Data preprocessing.

[0064] In this embodiment, a denoising algorithm is used to filter the noise in the sensor collected data, such as a filtering algorithm to effectively eliminate random noise and interference in the signal acquisition process; at the same time, abnormal data points are identified and eliminated. The above data preprocessing can ensure data reliability and provide high-quality input data for subsequent multi-source data fusion.

[0065] 2. Data standardization.

[0066] It should be noted that the sensor data after preprocessing needs to be normalized to establish a unified comparison benchmark due to its inconsistent measurement units. In this embodiment, a dynamic normalization algorithm based on national standards is used to convert the preprocessed sensor data into a dimensionless index by dividing the measured value of each gas type by its corresponding national standard limit. The data conversion formula is as follows:

[0067] in, For the The sensor (also called the Pre-processing values ​​of gas types, For the The national standard limit value corresponding to the gas type, For the The standard dimensionless constant for the gas type after data conversion.

[0068] It should be explained that the innovation of the above normalization formula (1) in this embodiment lies in the use of national standard limit values ​​as the reference denominator, which is different from the traditional normalization method based on the statistical quantities of the data itself (such as maximum value, standard deviation). This dynamic correlation method limit processing method allows the normalization result to directly represent the degree of exceeding the standard (for example, the standard dimensionless constant after data conversion is greater than 1 to represent that the corresponding gas concentration exceeds the standard), which solves the problem of inconsistent evaluation standards caused by differences in national standard limits in multi-gas monitoring and has a clear value in compliance judgment.

[0069] Furthermore, after the above data standardization processing steps, not only the unit compatibility problem of multi-source data is solved, but also the degree of exceeding the standard of various gases can be intuitively reflected.

[0070] 3. Multi-source data fusion.

[0071] In this embodiment, the multi-source data fusion formula is specifically as follows:

[0072] in, For the The weight corresponding to the gas type, is the total number of sensors, and AQI is the comprehensive air quality index (i.e., air quality index).

[0073] It should be explained that the above fusion formula (2) in this embodiment innovatively uses the standard dimensionless constant that has been normalized as the fusion input, which can ensure the comparability of all gas data; and adopts a dynamic weight allocation mechanism (that is, according to the real-time monitoring data and environmental characteristics of different gas types, the contribution ratio of the gas type in the calculation of the comprehensive air quality index is automatically adjusted. Specifically, the initial weight allocation is first based on the strictness of the national standards for each type of gas; then, the corresponding weight is dynamically adjusted according to the degree of deviation between the real-time monitoring concentration and the standard limit or the weight set by the user; this type of multi-dimensional dynamic weight adjustment method ensures that the comprehensive air quality index can more accurately reflect the actual environmental risk level), not only considering the gas concentration, but also combining factors such as the health impact coefficient, which is suitable for air quality assessment in complex environments.

[0074] Furthermore, the denominator on the right side of the equal sign in the above fusion formula (2) represents the sum of the weights of each gas. It is essentially a dynamic normalization factor used to normalize the weighted result to a reasonable numerical range. However, it is different from the traditional weighted average algorithm that requires the weighted sum to be 1. In this embodiment, it is flexibly adjusted according to the actual application scenario, specifically: (I) When the weighted sum = 1 (i.e., the denominator is 1), it behaves as a standard weighted average and is suitable for conventional evaluation scenarios.

[0075] (II) When the weighted sum ≠ 1, the risk amplification of specific gases can be further achieved by adjusting the weights. This design not only retains the mathematical properties of normalization, but also achieves accurate response to different monitoring needs through dynamic adjustment of the weight sum.

[0076] In this embodiment, through the above-mentioned fusion formula (2), the air purifier can realize intelligent assessment and response to complex air pollution conditions, and allow users to flexibly adjust the weight settings according to their own concerns, so that the purification strategy is more in line with personalized health needs, which helps to improve the practicality of the product and user experience.

[0077] It should be noted that the display layer of the air purifier in this embodiment is a color screen display layer, which is mainly responsible for converting the air quality data generated by the data processing layer, the comprehensive air quality level determined by the comprehensive air quality index, and the air purification equipment information into intuitive visual information. For example, the display layer can provide an intuitive and clear display of sensor information, or clearly display the current comprehensive air quality status, individual indicators of various gases, the working status of the air purifier, and other information to the user through dynamically updated numbers, text, and multi-dimensional data visualization charts. At the same time, the display layer also supports touch interaction, allowing users to adjust personalized parameters (such as customizing the weight of pollutants). In addition, the color screen display layer also has an intelligent function of instant pop-up warnings when exceeding the standard, displaying data that users are more concerned about, such as filter life information, and reminding users to replace the filter when it is abnormal.

[0078] In this embodiment, the main interface of the color screen display layer can display real-time AQI values ​​in different colors (for example, good air quality is displayed as green and air pollution is displayed as red), and a graded warning will automatically pop up when the standard is exceeded. The user can also adjust the gas weight by touching the slider (for example, increasing the formaldehyde weight from 1.0 to 1.8), and the device will immediately update the fusion formula and recalculate the AQI. It can also intelligently indicate the status of the integrated filter life.

[0079] It should be explained that in this embodiment, graded warning is implemented based on AQI. The specific process includes: first, establishing a basic grading framework according to national standards, and dividing the air quality index into multiple warning levels; then, comparing the obtained real-time AQI with the preset level, and quickly locating the level interval to which the current AQI belongs, thereby implementing graded warning, and finally triggering the multimodal warning strategy preset for the level, including interface color change, pop-up prompts, etc.

[0080] It should be noted that the sensor types in the perception layer of the air purifier can also be adaptively adjusted according to actual needs, such as adding PM1, PM10 and other types, and using the above-mentioned intelligent fusion of multi-source data air quality assessment and decision-making scheme of this embodiment to assess air quality, which has the significant advantages of greater scalability and wider applicability.

[0081] In summary, the air purifier of this embodiment realizes the entire process from data collection to intelligent analysis to visual presentation through a "data-driven + user-oriented" two-way interactive mode.

[0082] In this embodiment, an air quality assessment device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments. The details already described will not be repeated here. As used below, the term "module" refers to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0083] The present invention provides an air quality assessment device, which is applied to air purification equipment, such as Figure 5 As shown, the device includes: The data acquisition module 501 is used to acquire the data to be evaluated, which is the original monitoring data of various pollutants.

[0084] The format conversion module 502 is used to convert the format of each original monitoring data to obtain corresponding standard data, including: determining the corresponding air quality standard limits of various pollutants; dividing the original monitoring data of various pollutants by the corresponding air quality standard limits to obtain corresponding standard data.

[0085] The index calculation module 503 is used to determine the current weight of each standard data respectively, and calculate the air quality index using all the standard data and the corresponding current weight.

[0086] The quality assessment module 504 is used to determine the current quality level corresponding to the air quality index and control the air purification equipment to perform corresponding work based on the current quality level.

[0087] In some optional embodiments, the index calculation module 503 includes: a first calculation submodule, a second calculation submodule, a third calculation submodule, a fourth calculation submodule, a fifth calculation submodule, and a sixth calculation submodule; wherein the first calculation submodule is used to respectively determine the initial weights of the standard data corresponding to various pollutants; the second calculation submodule is used to respectively calculate the current deviations of the standard data corresponding to various pollutants from the corresponding air quality standard limits, and use each current deviation to adjust the corresponding initial weights respectively to obtain the current weights of each standard data; the third calculation submodule is used to and / or, in response to the user's weight setting operation on the standard data corresponding to various pollutants, determine the corresponding set values, and use each set value to adjust the corresponding initial weights respectively to obtain the current weights of each standard data; the fourth calculation submodule is used to add the current weights of each standard data to obtain a first value; the fifth calculation submodule is used to multiply each standard data by the corresponding current weight and then add the results to obtain a second value; and the sixth calculation submodule is used to divide the second value by the first value to obtain the air quality index.

[0088] In some optional embodiments, the quality assessment module 504 includes: a first assessment submodule, a second assessment submodule and a third assessment submodule; wherein the first assessment submodule is used to match the air quality index with a preset level threshold interval to determine the current quality level; the second assessment submodule is used to generate a corresponding control signal and / or purification gear for the current quality level; the third assessment submodule is used to control the air purification device to display the control signal, and / or control the air purification device to perform purification according to the purification gear.

[0089] In some optional embodiments, the third evaluation submodule includes: a first display unit and a second display unit; wherein, the first display unit is used to respectively determine the current interface color and the current pop-up prompt corresponding to the control signal; the second display unit is used to respectively control the air purification equipment for corresponding visual display based on the current interface color and the current pop-up prompt.

[0090] The further functional description of each of the above modules is the same as that of the above corresponding embodiments and will not be repeated here.

[0091] The air quality assessment device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0092] The air quality assessment device of the embodiment of the present invention converts the format of the original monitoring data of each pollutant respectively, specifically divides the original monitoring data of different dimensions by their corresponding air quality standard limits, and obtains dimensionless standard data, which helps to eliminate the unit differences between the data, thereby making the corresponding standard data comparable. It not only effectively solves the incomparability problem of multi-source data, but also can directly know the current pollution level of each pollutant based on the standard data, realizes the intuitive quantification of the pollution level, and thus improves the subsequent assessment accuracy of the air quality; at the same time, it is also designed to dynamically determine the current weight of each standard data, calculate the current air quality index in real time, and evaluate the current quality level based on it, and then control the air purification equipment to perform corresponding work according to the current quality level. This can realize effective evaluation of multi-source data, not only comprehensively and quantitatively evaluate the current air quality, greatly improve the intelligence level of the air purification equipment, but also further ensure the control accuracy of the equipment.

[0093] An embodiment of the present invention further provides an air purification device, which includes a controller. Figure 6 , Figure 6 is a schematic diagram of the structure of the controller provided in an optional embodiment of the present invention, such as Figure 6 As shown, the controller includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the controller, including instructions stored in or on the memory to display graphical information of a GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple controllers can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.

[0094] The processor 10 may be a central processing unit, a network processor, or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0095] The memory 20 stores instructions that can be executed by at least one processor 10, so as to enable at least one processor 10 to execute the method shown in the above embodiment.

[0096] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the controller, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely located relative to the processor 10, and these remote memories may be connected to the controller via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0097] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0098] The controller also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 can be connected via a bus or other means. Figure 6 The bus connection is taken as an example.

[0099] The input device 30 can receive digital or character input and generate signal input related to user settings and function control of the thermal power unit operation control unit. Examples include a touch screen, keypad, mouse, trackpad, touchpad, indicator stick, one or more mouse buttons, trackball, joystick, etc. The output device 40 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibration motors). Such display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, monitors, and plasma displays. In some optional embodiments, the display device may be a touch screen.

[0100] In this embodiment, the air purification device is an air purifier. Specifically, integrating the air quality assessment method of this embodiment into the air purification device can provide such air purification devices with a very stable and reliable assessment effect, enabling effective evaluation of multi-source data. This not only comprehensively and quantitatively assesses the current air quality, but also enhances the intelligence level of the air purification device, further ensures the control accuracy of the device, and greatly improves the user experience.

[0101] A computer-readable storage medium is also provided in an embodiment of the present invention. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor main control chip or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0102] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention. Such modifications and variations are all within the scope defined by the appended claims.

Claims

1. An air quality assessment method, applied to air purification equipment, characterized in that: The method comprises: Acquiring data to be evaluated, wherein the data to be evaluated is original monitoring data of multiple pollutants; Converting the format of each of the raw monitoring data to obtain corresponding standard data, including: determining the corresponding air quality standard limit values ​​of various pollutants; dividing the raw monitoring data of various pollutants by the corresponding air quality standard limit values ​​to obtain corresponding standard data; Determining the current weight of each of the standard data respectively, and calculating the air quality index using all the standard data and the corresponding current weights; Determine a current quality level corresponding to the air quality index, and control the air purification equipment to perform corresponding work based on the current quality level.

2. The air quality assessment method according to claim 1, characterized in that: The respectively determining the current weight of each of the standard data includes: Determine the initial weights of the standard data corresponding to various pollutants; Calculating the current deviations of the standard data corresponding to various pollutants and the corresponding air quality standard limits respectively, and using each of the current deviations to adjust the corresponding initial weights respectively, to obtain the current weights of the corresponding standard data; and / or, In response to the user's operation of setting weights for standard data corresponding to various pollutants, corresponding set values ​​are determined, and the corresponding initial weights are adjusted using each of the set values ​​to obtain the current weights of each of the standard data.

3. The air quality assessment method according to claim 1, wherein: The air quality index is calculated using all standard data and corresponding current weights, including: Adding the current weights of the standard data to obtain a first value; Multiplying each of the standard data by the corresponding current weight and then adding the results to obtain a second value; The second value is divided by the first value to obtain an air quality index.

4. The air quality assessment method according to any one of claims 1 to 3, characterized in that: Determining the current quality level corresponding to the air quality index and controlling the air purification device to perform corresponding operations based on the current quality level includes: Matching the air quality index with a preset level threshold interval to determine the current quality level; generating a corresponding control signal and / or purification gear of the current quality level; Control the air purification device to display the control signal, and / or control the air purification device to perform purification according to the purification gear.

5. The air quality assessment method according to claim 4, characterized in that: The controlling the air purification device to display the control signal includes: Determine the current interface color and current pop-up prompt corresponding to the control signal respectively; Based on the current interface color and the current pop-up prompt, the air purification equipment is controlled to perform corresponding visual display.

6. An air quality assessment device, applied to air purification equipment, characterized in that: The device comprises: A data acquisition module is used to acquire data to be evaluated, wherein the data to be evaluated is original monitoring data of multiple pollutants; a format conversion module, configured to convert the format of each of the raw monitoring data to obtain corresponding standard data, including: determining the corresponding air quality standard limit values ​​of various pollutants; and dividing the raw monitoring data of various pollutants by the corresponding air quality standard limit values ​​to obtain corresponding standard data; An index calculation module, configured to determine the current weight of each of the standard data, and calculate the air quality index using all the standard data and the corresponding current weights; The quality assessment module is used to determine the current quality level corresponding to the air quality index and control the air purification equipment to perform corresponding work based on the current quality level.

7. An air purification device, characterized in that: The air purification device includes a controller, which includes a memory and a processor. The memory and the processor are communicatively connected to each other. Computer instructions are stored in the memory. The processor executes the air quality assessment method according to any one of claims 1 to 5 by executing the computer instructions.

8. The air purification device according to claim 7, characterized in that: The air purification device is an air purifier.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the air quality assessment method according to any one of claims 1 to 5.

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