A distributed intelligent control system and air purifier

Abstract

The present invention relates to the field of air purification technology, and in particular to a distributed intelligent control system and an air purifier. The system includes a distributed control network establishment module, a parameter collection module for the area where the purifier is located, a regional component service life estimation module, and a distributed intelligent control module for the area to be purified. The air purifier can be installed and deployed in the area to be purified, and a quick connection and hotspot compatible distribution network and distributed node design can be performed. At the same time, the corresponding air purifier filter and UV lamp operating parameters are monitored in real time, and sent to the respective data processing centers for component remaining service life estimation and uploaded to the central control system for threshold division distributed intelligent control, generating replacement reset control strategies and purification adjustment control strategies to execute air purifier component replacement reset control work and distributed purification adjustment control work in the area to be purified. The present invention can better improve the air purification adjustment control effect.

Description

Technical Field

[0001] The present invention relates to the technical field of air purification, and in particular to a distributed intelligent control system and an air purifier. Background Art

[0002] Air purifiers play an important role in improving indoor air quality. Through distributed control and intelligent algorithms, a distributed control system based on wireless sensor networks is constructed to interconnect multiple air purifier control nodes into a whole. Each air purifier control node is equipped with independent sensors and control units to achieve local data collection and control. The sensor data is transmitted to the corresponding control unit through a wireless network for analysis and decision-making. At the same time, by applying adaptive control algorithms to dynamically adjust the working mode and wind speed of the air purifier according to real-time air quality data, it is possible to learn and predict changes in air quality and optimize the operation strategy of the purifier to improve purification efficiency. However, the control strategy of traditional air purification control methods is usually based on static algorithms, which cannot effectively monitor and manage the status of each device component, especially the service life of UV lamps and filters. This management mode lacks real-time monitoring and dynamic adjustment, often leading to improper use of filters and UV lamps, thereby affecting the purification effect of air purifiers. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a distributed intelligent control system and an air purifier to solve at least one of the above technical problems.

[0004] To achieve the above purpose, a distributed intelligent control system includes the following modules:

[0005] A distributed control network establishment module is used to install and deploy air purifiers in the area to be purified, and to integrate and pre-install two high-efficiency filter components, two UV components and a wall control component in the main body of each air purifier, wherein the high-efficiency filter component and the UV component are electrically connected to the wall control component; perform hotspot compatible network distribution and distributed node design on each air purifier to obtain a distributed purification sub-node corresponding to each air purifier; connect the distributed purification sub-node corresponding to each air purifier to the central control system through a wireless communication network to generate a distributed intelligent control network for the area to be purified;

[0006] The parameter collection module of the area where the purifier is located is used to monitor the filter and UV lamp operating parameters of the corresponding air purifier area in real time through each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area, wherein the filter operating parameter set includes the filter operating time, the particle concentration and carbon dioxide concentration of the filter inlet and outlet, and the air flow rate change during the filter operation process, and the UV lamp operating parameter set includes the UV lamp operating time and the UV lamp light output intensity; the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area are sent to the data processing center of the corresponding wall control component;

[0007] The regional component service life estimation module is used to estimate the remaining service life of the high-efficiency filter components and UV components corresponding to the regions where each air purifier is located based on the filter operating parameter set and UV lamp operating parameter set corresponding to the regions where each air purifier is located, using the data processing center, so as to obtain the remaining service life of the high-efficiency filter components and UV components corresponding to the regions where each air purifier is located;

[0008] The distributed intelligent control module of the area to be purified is used to upload the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located to the central control system through the distributed intelligent control network of the area to be purified, and use the central control system to perform distributed intelligent control on the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located based on the area to be purified, and generate a distributed intelligent control strategy for component distributed replacement and reset control strategy and a regional distributed purification adjustment control strategy to execute the corresponding air purifier component replacement and reset control work and distributed purification adjustment control work in the area to be purified.

[0009] Furthermore, the present invention also provides an air purifier, including an air purifier main body, a power supply unit and an electrical control unit, the power supply unit and the electrical control unit are installed on the air purifier main body, the electrical control unit is electrically connected to the power supply unit, and the electrical control unit includes a processor, a memory and a distributed intelligent control system for executing the above-mentioned.

[0010] Beneficial effects of the present invention:

[0011] The distributed intelligent control system proposed by the present invention is composed of a distributed control network establishment module, a parameter collection module for the area where the purifier is located, a regional component service life estimation module, and a distributed intelligent control module for the area to be purified. Compared with the prior art, the beneficial effect of the present application is that by installing multiple air purifiers in the area to be purified and integrating the corresponding high-efficiency filter components, UV components and wall control components in the air purifier main body of each air purifier, a comprehensive air purifier main body is formed, which can significantly improve the air quality. This multi-point layout can ensure that the air purifier covers a wider area to be purified, which is particularly suitable for large spaces or environments with multiple rooms. The electrical connection of the filter and UV components ensures their coordinated work, thereby improving the purification efficiency and flexibility of the air purifier. By performing hotspot compatible network distribution processing on each air purifier, seamless connection and information sharing between different pre-installed components in the air purifier can be ensured. This process maximizes the performance of each component by matching the characteristics of the equipment components, avoiding potential failures caused by network incompatibility without worrying about compatibility issues. By designing each air purification hotspot compatible network distributor as a control node in a distributed network, and connecting the distributed purification sub-nodes corresponding to each air purifier to the central control system through a wireless communication network, a distributed intelligent control network of the area to be purified is formed. This network connection not only ensures the real-time transmission of data between each air purifier, but also enables the intelligent control and management process of the overall environment through the central control system. Users can monitor the working status of multiple air purifiers through a unified interface and adjust the settings in time to meet different air quality requirements. Secondly, by using the time monitor, air particle concentration monitor and air flow meter built into the high-efficiency filter assembly at each purification sub-node in the distributed intelligent control network to monitor the filter operation parameters in real time in the area where the air purifier is located, the operation time of the filter, the air particle concentration at the inlet and outlet, and the changes in air flow can be accurately recorded. These data not only provide a basis for subsequent maintenance, but also can effectively monitor and manage the working status of the high-efficiency filter assembly in each air purifier. For example, the monitor can detect the blockage of the filter in time and prompt the user to clean or replace it to avoid affecting the air quality due to the degradation of the filter performance. In addition, monitoring of air particle concentration can help evaluate the purification effect. By comparing the concentration of incoming and outgoing gases, users can intuitively understand the working efficiency of the air purifier. This comprehensive real-time monitoring greatly improves the intelligence and accuracy of air purification, making air quality management more scientific and reasonable.The operating time and light output intensity of the UV lamp are also monitored in real time through the built-in time monitor and light intensity sensor of the UV component at each purification sub-node. Regular monitoring of its operating time can help ensure that it is in the best working state. The light intensity sensor can provide real-time feedback on the light intensity of the UV lamp to ensure that it can still effectively kill germs and harmful microorganisms in the air under different environmental conditions. By monitoring the operation of the UV lamp, the working status of the UV components in each air purifier can be effectively monitored and managed to prevent the air purification effect from being reduced due to the failure of the UV lamp. By using a wireless transmission network to send the operating parameter set of the filter and UV lamp to the data processing center of the corresponding wall control component, the effectiveness of this step lies in the realization of centralized management and analysis of the operating parameter data of each component, which can realize distributed monitoring and adjustment of each air purifier. The real-time transmission of data from each air purifier ensures timely updating of information, allowing users to quickly respond to potential air quality problems in the area where their purifiers are located. Then, by using the respective data processing centers and combining the filter operation parameter sets corresponding to the areas where each air purifier is located, the corresponding high-efficiency filter components are estimated to have a remaining filter life. This estimation can help users understand the replacement time of the filter in advance, thereby avoiding the reduction of purification efficiency due to expired use. According to the specific value of the remaining service life, it can ensure that the filter is replaced in time at the right time, and can also reduce the loss of equipment caused by excessive load. The UV remaining service life of the UV components corresponding to the areas where each air purifier is located is estimated by using the data processing center based on the UV lamp operation parameter sets corresponding to the areas where each air purifier is located. This estimation process helps users clearly understand the working status of the UV lamp, avoid the reduction of disinfection effect due to expired lamps that have not been replaced, and enable timely update of UV components to ensure air quality. It can also effectively reduce the risk of bacterial and virus transmission. In this way, the replacement time can be planned in advance by monitoring the service life of the UV components, avoiding unnecessary equipment component downtime or improper use. Finally, by using the distributed intelligent control network of the area to be purified, the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located are uploaded to the central control system, forming a real-time monitoring and management framework. This uploading process not only improves data transparency, but also provides the central control system with the necessary information basis for comprehensive equipment component management and maintenance planning.By using the central control system to compare the remaining service life of each air purifier component with the set risk threshold, if the remaining service life of the filter or UV component is greater than or equal to the set risk threshold, a distributed replacement and reset control strategy will be automatically generated. This mechanism greatly improves the level of automated management of the filter or UV component replacement and service life reset process, reduces the risk caused by human misjudgment, and can also timely replace and maintain the corresponding high-efficiency filter component or UV component when the corresponding component service life is about to be at risk and no failure occurs, avoiding a sudden drop in the air purification effect. When the remaining service life of the filter and UV components are both lower than the risk threshold, the range of each air purifier to be purified is determined based on the coverage calculation of the area to be purified, and each air purifier is purified according to its range to be purified. Priority distributed intelligent control is performed to generate a regional distributed purification adjustment control strategy, which can ensure that the air quality of each priority purification area can be effectively managed first. This strategy makes the operation of the purifier more orderly, optimizes the operating time and energy consumption, and improves the overall purification effect. Through precise control, users can achieve dynamic adjustment of air quality to ensure that the ideal environmental quality can be maintained under different circumstances, thereby better improving the purification effect in the area to be purified. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0013] Figure 1 It is a module schematic diagram of the distributed intelligent control system of the present invention;

[0014] Figure 2 for Figure 1 Functional flow diagram of distributed control network establishment module;

[0015] Figure 3 for Figure 1 Schematic diagram of the functional flow of the component parameter collection module in the area where the purifier is located. DETAILED DESCRIPTION

[0016] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0017] To achieve this, please refer to Figures 1 to 3 The present invention provides a distributed intelligent control system. In the embodiments of the present invention, please refer to Figure 1FIG. 1 is a schematic diagram of a distributed intelligent control system of the present invention. In this example, the distributed intelligent control system includes the following modules:

[0018] S1: A distributed control network establishment module, which is used to install and deploy air purifiers in the area to be purified, and pre-install two high-efficiency filter components, two UV components and a wall control component in the main body of each air purifier, wherein the high-efficiency filter component and the UV component are electrically connected to the wall control component; perform hotspot compatible network distribution and distributed node design on each air purifier to obtain a distributed purification sub-node corresponding to each air purifier; connect the distributed purification sub-node corresponding to each air purifier to the central control system through a wireless communication network to generate a distributed intelligent control network for the area to be purified;

[0019] In an embodiment of the present invention, multiple air purifiers, such as 3-5, are installed and deployed in the corresponding area to be purified, and two high-efficiency filter components, two UV components and a wall control component are pre-installed in the main body of each air purifier, wherein the high-efficiency filter component and the UV component are electrically connected to the wall control component through a cable to ensure that they can work in coordination, so that when the air enters the purifier, the air is first filtered by the high-efficiency filter component, and then disinfected by ultraviolet light through the UV component. At the same time, by conducting a detailed investigation of each pre-installed component pre-installed in each previously deployed air purifier, including filters, UV lamps, sensors, fans and control modules, etc., to collect the hotspot network technical specification parameters of each component, such as operating frequency, power consumption, communication protocol, etc., using professional equipment, and by combining the hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier collected previously, the corresponding air purifier is subjected to network compatibility distribution network analysis, so as to identify the existing compatibility problems through simulation testing of the communication and network distribution capabilities between different components, and make adjustments to ensure that all pre-installed components can work smoothly together, thereby generating an air purifier that meets the hotspot network compatibility standard. Then, each air purifier obtained after compatibility testing is designed as each control sub-node in the distributed network. Each air purifier is assigned a unique network address. Through the distributed control algorithm, information sharing and coordination between nodes are realized to form an efficient distributed purification control structure, so as to configure and design the distributed purification sub-nodes corresponding to each air purifier. Finally, by using wireless communication network technology, a network connection is established between the distributed purification sub-nodes corresponding to each air purifier designed previously and the central control system, so as to adopt advanced network protocols to realize the real-time transmission of data of each air purifier and the efficient issuance of instructions, forming an intelligent distributed control network, so as to automatically adjust the operating status of each air purifier according to the real-time air quality data, realize comprehensive environmental monitoring and intelligent purification management, and finally connect to generate a distributed intelligent control network for the area to be purified.

[0020] S2: a parameter acquisition module for the area where the purifier is located, which is used to monitor the filter and UV lamp operating parameters of the corresponding air purifier area in real time through each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area, wherein the filter operating parameter set includes the filter operating time, the particle concentration and carbon dioxide concentration of the filter inlet and outlet, and the air flow rate during the filter operation process, and the UV lamp operating parameter set includes the UV lamp operating time and the UV lamp light output intensity; the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area are sent to the data processing center of the corresponding wall control component;

[0021] In an embodiment of the present invention, by using the time monitor built into the high-efficiency filter component at each distributed purification sub-node in the distributed intelligent control network of the area to be purified obtained by the previous connection, the operating time of the high-efficiency filter component in the area where the corresponding air purifier is located is monitored in real time, so that each purification sub-node is equipped with a high-precision sensor to record the operating time of the filter in real time, thereby obtaining the filter operating time corresponding to the area where each air purifier is located; and by using the inlet and outlet air particle concentration monitors and the carbon dioxide concentration monitors, the particle concentration and carbon dioxide concentration of the filter intake and outlet are measured respectively. The monitor adopts the laser scattering principle and can accurately detect the concentration of particulate matter and carbon dioxide in the air, thereby obtaining the filter intake particle concentration and intake carbon dioxide concentration and the filter outlet particle concentration and outlet carbon dioxide concentration corresponding to the area where each air purifier is located. In addition, the air flow rate during the operation of the filter is monitored by the built-in air flow meter, and accurate measurement is ensured by using a flow sensor to obtain the air flow rate change during the operation of the filter corresponding to the area where each air purifier is located, and the filter operation time, the particle concentration and carbon dioxide concentration of the filter inlet and outlet, and the air flow rate change during the operation of the filter obtained by real-time monitoring in the area where each air purifier is located are merged and processed, and the relevant data are integrated into a complete filter operation parameter set, so as to obtain the filter operation parameter set corresponding to the area where each air purifier is located. Similarly, the operation time of the UV component in each distributed purification sub-node in the distributed intelligent control network of the area to be purified obtained by using the previously established connection is monitored in real time, so as to obtain the operation time of the UV lamp corresponding to the area where each air purifier is located by equipping the UV component of each purification sub-node with a high-precision timer, and recording the cumulative time from the UV lamp being turned on to being turned off, so as to obtain the operation time of the UV lamp corresponding to the area where each air purifier is located. At the same time, by using the built-in light intensity sensor to monitor the light output intensity of the UV lamp, the sensor can accurately measure the light intensity and transmit the data in real time per second, so as to obtain the UV light output intensity corresponding to the area where each air purifier is located, and merge the UV lamp operating time and UV light output intensity previously monitored in real time in the area where each air purifier is located, so as to integrate the UV lamp parameters of each purification sub-node into a unified UV lamp operating parameter set through the data integration tool, so as to obtain the UV lamp operating parameter set corresponding to the area where each air purifier is located.Then, the filter operating parameter set and UV lamp operating parameter set of each air purifier area are transmitted to the data processing center of each wall control component by using a wireless transmission network. Each purification sub-node sends the data packet to the control center through a reliable wireless communication protocol (such as Zigbee or Wi-Fi). The transmission process uses encryption measures to ensure data security. The received parameter set will be decoded and stored in the database of the data processing center to ensure efficient data analysis and real-time monitoring.

[0022] S3: A regional component service life estimation module, which is used to estimate the remaining service life of the high-efficiency filter components and UV components corresponding to the regions where each air purifier is located using a data processing center based on the filter operating parameter set and UV lamp operating parameter set corresponding to the regions where each air purifier is located, so as to obtain the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the regions where each air purifier is located;

[0023] In the embodiment of the present invention, the data processing center uses the corresponding data analysis tool to evaluate and calculate the filtration efficiency of the filter operation time, the filter inlet particle concentration and the filter outlet particle concentration corresponding to the area where each air purifier is located, which are previously monitored in real time, so as to calculate the filtration efficiency according to the corresponding filtration efficiency calculation formula: filtration efficiency = , the calculation results will generate the filtration efficiency of each area, and by combining the filter operation time corresponding to each air purifier area obtained by real-time monitoring and the air flow rate during the filter operation process, a three-dimensional model is established using computational fluid dynamics (CFD) software to simulate the air flow. The operating parameters are input into the software, and the air flow simulation field of each air purifier area is calculated by numerical solution method. The air flow simulation field obtained by the previous simulation is quantitatively calculated at different distribution positions, so that the air flow velocity of each measurement point is extracted from the simulation data by setting multiple measurement points in each simulation field and using the flow velocity distribution formula in fluid dynamics. The air flow velocity at different distribution positions obtained by the previous quantitative calculation is also used to perform statistical calculations of the flow velocity mean and variance, so that the flow velocity data at different distribution positions of each air purifier are collected, and the mean and standard deviation of the flow velocity are calculated using statistical analysis software. The specific operation is as follows: the mean calculation formula is "mean = Σflow velocity / N", and the variance calculation formula is "variance = Σ(flow velocity - mean)² / (N - 1)”, where N is the number of data points. The calculation result will reflect the overall characteristics of the air flow rate of the filter. At the same time, the corresponding air flow simulation field is quantitatively calculated by combining the mean value of the air flow rate of the filter corresponding to the area where each air purifier is located and the variance of the air flow rate of the filter. The mean value and variance of the air flow rate are used as input parameters, and the resistance coefficient formula in fluid mechanics is used for calculation. The formula is usually “resistance coefficient = ( ) / (dynamic pressure)", calculate the flow resistance coefficient, and combine the flow resistance coefficient obtained by quantitative calculation previously to evaluate the congestion of the high-efficiency filter assembly for the corresponding air flow change during the operation of the filter, and apply the blockage evaluation formula in fluid mechanics for calculation. The specific operation is "congestion degree = (flow resistance coefficient × flow rate) / theoretical maximum flow rate", and the calculation result will show the congestion of the filter in each area. Secondly, by combining the filter air flow, filtration efficiency, filter congestion degree and related parameters obtained in the previous analysis, a suitable calculation formula is formed to perform wind speed registration calculation on the initial filter usage wind speed on the corresponding high-efficiency filter assembly, so as to quantitatively calculate the filter usage registration wind speed corresponding to each area, and then, by using the built-in sensors of each air purifier to collect the total service life of the high-efficiency filter assembly, and by combining the filter operation time corresponding to the area where each air purifier is located obtained by real-time monitoring previously, the use frequency of the corresponding high-efficiency filter assembly is evaluated and calculated, so as to realize the conversion of operation time into filter usage frequency. The specific formula is "usage frequency = operation time / Replacement cycle", and also through the use of the filter network by combining the previously calculated filter use frequency to the corresponding quantitative calculation of the filter use registration wind speed to evaluate the use of wind speed, so as to use the linear regression analysis of the relationship between the use frequency and the use of wind speed calculated by registration to establish a mathematical model, calculate the impact factor, such as wind speed impact factor = By combining the total service life, filter operating time and wind speed influence factor corresponding to the area where each air purifier is located obtained from the previous analysis, the remaining service life of the corresponding high-efficiency filter assembly is estimated and calculated using the formula "Remaining service life = total service life - (operating time × wind speed influence factor)", thereby obtaining the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located. Finally, the data processing center uses the operation efficiency statistical method to quantify the operation efficiency of the UV lamp operation time and UV light output intensity corresponding to the area where each air purifier is located, and calculates the UV lamp operation efficiency of each air purifier area. The formula is "operation efficiency = light output intensity / operation time", and the light attenuation characteristics of the corresponding UV components are statistically analyzed by combining the UV light output intensity obtained by real-time monitoring previously, so as to analyze the change of light intensity and determine the attenuation characteristic parameters by applying linear regression or exponential decay model. The performance status percentage of the corresponding UV components is evaluated and calculated by combining the UV lamp operation efficiency and attenuation characteristic parameters obtained by quantitative calculation previously. The operation efficiency is combined with the attenuation characteristic parameters to set an evaluation calculation formula, such as performance status percentage = (UV lamp operation efficiency / theoretical optimal efficiency) × attenuation characteristic parameters, and the performance status percentage of each UV component is calculated. In addition, the remaining service life of the corresponding UV components is estimated by combining the UV lamp operation time and UV lamp performance status percentage obtained by previous analysis, so as to use the known operation time and performance status percentage, and the formula "remaining service life = The remaining service life of the corresponding UV components is quantified by "running time × performance status percentage", and finally the remaining service life of the UV components corresponding to the area where each air purifier is located is obtained.

[0024] S4: A distributed intelligent control module for the area to be purified, which is used to upload the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located to the central control system through the distributed intelligent control network of the area to be purified, and use the central control system to divide the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located into thresholds for distributed intelligent control based on the area to be purified, and generate a distributed component replacement reset control strategy and a regional distributed purification adjustment control strategy to execute the corresponding air purifier component replacement reset control work and the distributed purification adjustment control work of the area to be purified.

[0025] In an embodiment of the present invention, by using a previously connected and established distributed intelligent control network of the area to be purified, the estimated remaining service life of the high-efficiency filter assembly and the remaining service life of the UV assembly in the area where each air purifier is located are uploaded to the central control system in real time. The uploading process uses the Internet of Things (IoT) communication protocol to ensure stable transmission of data through a wireless network or a wired network. The component sensors built into each air purifier regularly detect the usage status of the filter and UV assembly, and use the data processing center to calculate the remaining service life, which is sent to the central control system through the network to achieve centralized monitoring and management of the data. At the same time, by setting corresponding component life risk thresholds (including high-efficiency filter component life risk thresholds and UV component life risk thresholds) in the central control system, the remaining life of the high-efficiency filter components and the remaining life of the UV components corresponding to the areas where the received air purifiers are located are compared and judged. If the remaining life of the high-efficiency filter components or UV components of a certain air purifier is greater than or equal to its corresponding life risk threshold, the system will automatically respond to generate replacement and reset control strategies for the components in each air purifier. This strategy is sent to the corresponding air purifier through a control signal, and the instruction instructs it to perform distributed replacement and reset of the components, ensuring that the corresponding high-efficiency filter components or UV components in the corresponding air purifiers can be automatically replaced when the remaining life reaches the risk warning point, and the corresponding life is reset, so that it always runs in a safe and efficient state, thereby responding to the generation of distributed component replacement and reset control strategies to perform the corresponding air purifier component replacement and reset control work.If it is determined that the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located are lower than the corresponding service life risk threshold, the system first calculates the coverage of the area to be purified in the area where the air purifier is located based on the area to be purified. The calculation is implemented through a map positioning system and an area division algorithm. The known range of the area to be purified and the purification capacity range of each air purifier are used to calculate the coverage range of the area to be purified of each air purifier, that is, the coverage area between the purification capacity range of each air purifier and the area to be purified. The corresponding air purifiers are sorted by priority according to the size of the coverage area to be purified corresponding to each air purifier obtained by the previous calculation, so as to rank the air purifiers according to the size of the coverage area to be purified of each purifier. The air purifiers are arranged according to the priority of the areas to be purified to ensure the rational allocation of resources, giving priority to the areas with large coverage areas to be purified. Then, each air purifier is distributedly intelligently controlled according to the priority sequence to be purified obtained in the previous sorting, so as to dynamically adjust the purification strategy according to the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to each purifier. The central control system uses a control algorithm to set the working mode and operating time of each purifier according to the remaining service life of its system components to ensure efficient air purification within the coverage area. Finally, a regional distributed purification adjustment control strategy is generated to ensure that all areas where each purifier is located can complete the air quality improvement work within the specified time according to the priority sequence, thereby maximizing the overall purification efficiency of the entire area to be purified.

[0026] Further, as an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Schematic diagram of the function flow of the distributed control network establishment module in the embodiment. In this embodiment, the functions of the distributed control network establishment module include:

[0027] S11: air purifiers are installed and deployed in the area to be purified, and a pre-installed high-efficiency filter assembly, a UV assembly, and a wall control assembly are integrated into the air purifier body of each air purifier, wherein the high-efficiency filter assembly and the UV assembly are electrically connected to the wall control assembly;

[0028] In an embodiment of the present invention, air purifiers are installed and deployed in corresponding areas to be purified, for example, 3-5, and two high-efficiency filter assemblies, two UV assemblies and a wall control assembly are pre-installed in the air purifier main body of each air purifier, wherein the high-efficiency filter assembly and the UV assembly are electrically connected to the wall control assembly via cables to ensure that they can work in coordination, so that when air enters the purifier, the air is first filtered through the high-efficiency filter assembly and then disinfected by ultraviolet rays through the UV assembly.

[0029] S12: collecting hotspot network technical specification parameters for each pre-installed component in each air purifier to obtain hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier;

[0030] In an embodiment of the present invention, a detailed investigation is conducted on each pre-installed component in each previously deployed air purifier, including filters, UV lamps, sensors, fans and control modules, etc., so as to collect the hotspot network technical specification parameters of each component, such as operating frequency, power consumption, communication protocol, etc., using professional equipment. These data are organized in standardized tables to ensure that the performance indicators of each component are clear and traceable, and finally the hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier are obtained.

[0031] S13: performing hotspot compatible network distribution processing on each air purifier based on the hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier, and obtaining hotspot compatible network distribution devices for each air purifier;

[0032] In an embodiment of the present invention, a network compatibility distribution network analysis is performed on the corresponding air purifiers by combining the hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier that have been collected previously, so as to identify existing compatibility issues and make adjustments through simulation tests of the communication and network distribution capabilities between different components to ensure that all pre-installed components can work together smoothly, and finally obtain each air purification hotspot compatible network distributor, that is, generate an air purifier that meets the hotspot network compatibility standard.

[0033] S14: By designing each air purification hotspot compatible network distributor as each distributed purification control node in the distributed network, a distributed purification sub-node corresponding to each air purifier is obtained;

[0034] In an embodiment of the present invention, each air purification hotspot compatible network distributor obtained after compatibility testing is designed as each control sub-node in the distributed network, and each air purifier is assigned a unique network address. Through a distributed control algorithm, information sharing and coordination between nodes are achieved to form an efficient distributed purification control structure, and finally the configuration design obtains the distributed purification sub-nodes corresponding to each air purifier.

[0035] S15: Connect the distributed purification sub-nodes corresponding to each air purifier to the central control system through a distributed network via a wireless communication network to generate a distributed intelligent control network for the area to be purified.

[0036] In an embodiment of the present invention, a network connection is established between the distributed purification sub-nodes corresponding to each air purifier previously designed and the central control system by using wireless communication network technology, so as to adopt advanced network protocols to realize real-time transmission of data of each air purifier and efficient issuance of instructions, thereby forming an intelligent distributed control network, which can automatically adjust the operating status of each air purifier according to real-time air quality data, realize comprehensive environmental monitoring and intelligent purification management, and finally connect to generate a distributed intelligent control network for the area to be purified.

[0037] Further, as an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 The function flow diagram of the component parameter collection module in the area where the purifier is located, in this embodiment, the functions of the component parameter collection module in the area where the purifier is located include:

[0038] S21: Real-time monitoring of the filter operation time of the corresponding air purifier area is performed through the time monitor built in the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the filter operation time corresponding to the area where each air purifier is located; real-time monitoring of the inlet and outlet air particle concentration and carbon dioxide concentration of the corresponding air purifier area is performed through the air particle concentration and carbon dioxide concentration monitor at the inlet and outlet of the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the filter inlet and outlet air particle concentration and carbon dioxide concentration corresponding to the area where each air purifier is located, wherein the filter inlet and outlet air particle concentration and carbon dioxide concentration include the filter inlet particle concentration and inlet carbon dioxide concentration and the filter outlet particle concentration and outlet carbon dioxide concentration; real-time monitoring of the filter air flow in the corresponding air purifier area is performed through the air flow meter built in the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the air change flow rate during the operation of the filter corresponding to the area where each air purifier is located;

[0039] In an embodiment of the present invention, the time monitor built into the high-efficiency filter net component at each distributed purification sub-node in the distributed intelligent control network of the area to be purified obtained by the previous connection is used to monitor the running time of the high-efficiency filter net component in the area where the corresponding air purifier is located in real time, so that each purification sub-node is equipped with a high-precision sensor to record the running time of the filter net in real time, and the data is stored in milliseconds, so as to obtain the running time of the filter net corresponding to the area where each air purifier is located. Also, by using the inlet and outlet air particle concentration monitor and the carbon dioxide concentration monitor, the particle concentration and carbon dioxide concentration of the filter net inlet and outlet are measured respectively. The monitor adopts the principle of laser scattering and can accurately detect the concentration of particles and carbon dioxide in the air, so as to obtain the particle concentration and carbon dioxide concentration of the filter net inlet corresponding to the area where each air purifier is located, and the particle concentration and carbon dioxide concentration of the filter net outlet are obtained. In addition, the air flow rate during the operation of the filter net is monitored by the built-in air flow meter, and the accurate measurement is ensured by using the flow sensor, and finally the air change flow rate during the operation of the filter net corresponding to the area where each air purifier is located is obtained.

[0040] S22: merging filter operation parameters corresponding to the area where each air purifier is located, the particle concentration and carbon dioxide concentration of the filter inlet and outlet air, and the air flow rate during the filter operation process, to obtain a filter operation parameter set corresponding to the area where each air purifier is located;

[0041] In an embodiment of the present invention, the filter operating time, filter inlet and outlet particulate matter concentration and carbon dioxide concentration, and air flow rate change during the filter operation process obtained by real-time monitoring in the area where each air purifier is located are merged and processed, so that all relevant data can be classified and summarized through a centralized management system of a data processing center, and each parameter is stored using a database management system to ensure data consistency and integrity. After data cleaning, the relevant data are integrated into a complete filter operating parameter set. This parameter set includes the filter operating time, inlet particulate matter concentration, inlet carbon dioxide concentration, outlet particulate matter concentration, outlet carbon dioxide concentration and air flow, and finally the filter operating parameter set corresponding to the area where each air purifier is located is obtained.

[0042] S23: The time monitor built into the UV component of each distributed purification sub-node in the distributed intelligent control network of the area to be purified is used to monitor the operating time of the UV lamp in the corresponding air purifier area in real time, and the operating time of the UV lamp corresponding to the area where each air purifier is located is obtained; the light intensity sensor built into the UV component of each distributed purification sub-node in the distributed intelligent control network of the area to be purified is used to monitor the UV light intensity output of the corresponding air purifier area in real time, and the UV light output intensity corresponding to the area where each air purifier is located is obtained;

[0043] In the embodiment of the present invention, the time monitor built into the UV component at each distributed purification sub-node in the distributed intelligent control network of the area to be purified obtained by the previous connection is used to monitor the operation time of the UV component in the area where the corresponding air purifier is located in real time, so as to record the cumulative time from the opening to the closing of the UV lamp by equipping the UV component of each purification sub-node with a high-precision timer, so as to obtain the operation time of the UV lamp corresponding to the area where each air purifier is located. At the same time, the light output intensity of the UV lamp is monitored by using the built-in light intensity sensor, which can accurately measure the light intensity and transmit the data in real time per second, and finally obtain the light output intensity of the UV lamp corresponding to the area where each air purifier is located.

[0044] S24: merging the UV lamp operation time and UV lamp output intensity corresponding to the area where each air purifier is located into UV lamp operation parameters to obtain a UV lamp operation parameter set corresponding to the area where each air purifier is located;

[0045] In an embodiment of the present invention, the UV lamp operating time and UV light output intensity previously obtained by real-time monitoring in the areas where each air purifier is located are merged and processed, so that the UV lamp parameters of each purification sub-node are integrated into a unified UV lamp operating parameter set through a data integration tool. The data set contains the UV lamp operating time and light intensity in each area, and finally the UV lamp operating parameter set corresponding to the area where each air purifier is located is obtained.

[0046] S25: The filter operating parameter set and the UV lamp operating parameter set corresponding to the area where each air purifier is located are sent to the data processing center of the corresponding wall control component through the wireless transmission network.

[0047] In an embodiment of the present invention, the filter operating parameter set and UV lamp operating parameter set of each air purifier area are transmitted to the data processing center of the respective wall control components by using a wireless transmission network. Each purification sub-node sends a data packet to the control center through a reliable wireless communication protocol (such as Zigbee or Wi-Fi). The transmission process ensures data security through encryption measures. The received parameter set will be decoded and stored in the database of the data processing center to ensure efficient data analysis and real-time monitoring.

[0048] Furthermore, the regional component service life estimation module includes the following functions:

[0049] The data processing center is used to evaluate and calculate the filter efficiency of the filter operation time, the filter inlet particulate matter concentration and the inlet carbon dioxide concentration, and the filter outlet particulate matter concentration and the outlet carbon dioxide concentration in the filter operation parameter set corresponding to the area where each air purifier is located, and obtain the filter efficiency corresponding to the area where each air purifier is located;

[0050] In the embodiment of the present invention, the data processing center uses the corresponding data analysis tool to evaluate and calculate the filtration efficiency of the filter operation time, the filter inlet particle concentration and the inlet carbon dioxide concentration, and the filter outlet particle concentration and the outlet carbon dioxide concentration corresponding to the area where each air purifier is located, which are previously monitored in real time, so as to calculate the filtration efficiency according to the corresponding filtration efficiency calculation formula, specifically, filtration efficiency = The calculation results will generate the filtration efficiency of each area, and finally the filtration efficiency of the filter corresponding to the area where each air purifier is located will be obtained.

[0051] Preferably, based on the filter operation time in the filter operation parameter set corresponding to the area where each air purifier is located, the filter congestion evaluation calculation is performed on the corresponding air change flow rate during the filter operation process to obtain the filter congestion degree corresponding to the area where each air purifier is located;

[0052] In an embodiment of the present invention, by combining the filter operation time corresponding to the area where each air purifier is located obtained by real-time monitoring and the air flow rate change during the operation of the filter, a three-dimensional model is established using computational fluid dynamics (CFD) software to simulate air flow, and the operating parameters, including the geometric shape of the filter, air flow rate and speed, etc., are input into the software. The air flow simulation field of the area where each air purifier is located is calculated by a numerical solution method, and the air flow velocity is quantitatively calculated at different distribution positions of the air flow simulation field corresponding to the area where each air purifier is located obtained by the previous simulation. By setting multiple measurement points in each simulation field and using the velocity distribution formula in fluid dynamics, the air flow velocity of each measurement point is extracted from the simulation data, and the air flow velocity at different distribution positions corresponding to the area where each air purifier is located obtained by the previous quantitative calculation is used to perform statistical calculation of the velocity mean and variance, so that the velocity data of different distribution positions of each air purifier are collected and the mean and standard deviation of the velocity are calculated using statistical analysis software. The specific operation is as follows: the mean calculation formula is "mean = Σ velocity / N", and the variance calculation formula is "variance = Σ(velocity - Mean)² / (N - 1)", where N is the number of data points. The calculation result will reflect the overall characteristics of the air flow rate of the filter. At the same time, by combining the mean air flow rate of the filter corresponding to the area where each air purifier is located obtained by previous quantitative calculation and the variance of the air flow rate of the filter, the corresponding air flow simulation field is quantitatively calculated to calculate the flow resistance coefficient, so that the mean and variance of the air flow rate are used as input parameters, and the resistance coefficient formula in fluid mechanics is used for calculation. The formula is usually "resistance coefficient = ( ) / (dynamic pressure)", calculate the flow resistance coefficient, then combine the flow resistance coefficient obtained by the previous quantitative calculation to perform congestion evaluation calculation of the high-efficiency filter component on the corresponding air change flow during the operation of the filter, so as to obtain the air change flow data during the operation from each air purifier, combine the flow resistance coefficient with the air flow, and apply the blockage evaluation formula in fluid mechanics for calculation. The specific operation is "congestion degree = (flow resistance coefficient × flow rate) / theoretical maximum flow rate". The calculation result will indicate the filter congestion situation in each area, and finally the filter congestion degree corresponding to the area where each air purifier is located will be obtained.

[0053] Preferably, based on the filter efficiency and filter congestion degree corresponding to the area where each air purifier is located, the filter wind speed registration calculation formula is used to perform wind speed registration calculation on the filter wind speed on the corresponding high-efficiency filter assembly to obtain the filter registration wind speed corresponding to the area where each air purifier is located;

[0054] In an embodiment of the present invention, a suitable filter wind speed registration calculation formula is formed by combining the initial filter usage wind speed, filter air flow, filter area, filter filtration efficiency, fluid dynamics effect factor, filter congestion degree, particle type measurement parameters, particle concentration, exponential function, particle removal distance and filter removal efficiency attenuation constant on the high-efficiency filter assembly to perform wind speed registration calculation on the filter usage wind speed on the corresponding high-efficiency filter assembly, so as to quantitatively calculate the filter usage registration wind speed corresponding to each area, and finally obtain the filter usage registration wind speed corresponding to the area where each air purifier is located.

[0055] Preferably, the remaining service life of the corresponding high-efficiency filter assembly is estimated based on the filter operation time corresponding to the area where each air purifier is located and the registered wind speed of the filter, so as to obtain the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located;

[0056] In an embodiment of the present invention, each air purifier uses a built-in sensor to collect the total service life of the high-efficiency filter assembly. In specific operations, the sensor starts to record the cumulative operating time of the filter when the device is enabled. These data are regularly uploaded to the central control system. The system compares the cumulative operating time with the standard life of the filter, calculates the total service life of the filter corresponding to the area where each air purifier is located, and evaluates and calculates the usage frequency of the corresponding high-efficiency filter assembly by combining the filter operating time corresponding to the area where each air purifier is located obtained by previous real-time monitoring, so as to extract the operating time data from each air purifier through a data processing system, and compare it with a preset periodic replacement standard to achieve conversion of the operating time into the filter usage frequency. The specific formula is "usage frequency = operating time / replacement cycle", so as to evaluate and calculate the filter usage frequency of each air purifier area, and also evaluate and calculate the impact of the use wind speed on the corresponding filter usage registration wind speed obtained by quantitative calculation by combining the filter usage frequency obtained by previous evaluation calculation, so as to establish a mathematical model for the relationship between the use frequency and the use wind speed obtained by registration calculation, and calculate the influence factor, such as wind speed influence factor = Then, by combining the total service life, filter operation time and wind speed influence factor corresponding to the area where each air purifier is located obtained from the previous analysis, the remaining service life of the corresponding high-efficiency filter assembly is estimated and calculated using the formula "remaining service life = total service life - (operation time × wind speed influence factor)" to ensure that the air purifier filter assembly can operate in the best state, and finally obtain the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located.

[0057] Preferably, based on the UV lamp operating parameter set corresponding to the area where each air purifier is located, the data processing center is used to estimate the UV remaining service life of the UV components corresponding to the area where each air purifier is located, so as to obtain the remaining service life of the UV components corresponding to the area where each air purifier is located.

[0058] In the embodiment of the present invention, the data processing center uses the operating efficiency statistical method to quantify the operating efficiency of the UV lamp operating time and the UV light output intensity corresponding to the area where each air purifier is located, so as to use the data analysis tool to calculate the operating efficiency of the UV lamp in each air purifier area. The formula is "operating efficiency = light output intensity / The light attenuation characteristics of the corresponding UV components are statistically analyzed by combining the UV light output intensity obtained by real-time monitoring. The analysis process is based on the record of light intensity changes over time, and the light attenuation characteristics are modeled by a curve fitting algorithm. In the specific implementation process, the data of the light output intensity changes over time of each air purifier are first collected, and the attenuation characteristic parameters are determined by analyzing the changes in light intensity by applying a linear regression or exponential decay model. At the same time, the performance status percentage of the corresponding UV components is evaluated and calculated by combining the UV lamp operating efficiency and attenuation characteristic parameters corresponding to the area where each air purifier is located obtained by quantitative calculation previously. The operating efficiency is combined with the attenuation characteristic parameters to set an evaluation calculation formula, such as performance status percentage = (UV lamp operating efficiency / theoretical optimal efficiency) × attenuation characteristic parameters, and the performance status percentage of each UV component is calculated. Then, the remaining service life of the corresponding UV components is estimated by combining the UV lamp operating time and UV lamp performance status percentage corresponding to the area where each air purifier is located obtained by the previous analysis, so as to utilize the known operating time and performance status percentage, and through the formula "remaining service life = The remaining service life of the corresponding UV components is quantified by "running time × performance status percentage", and finally the remaining service life of the UV components corresponding to the area where each air purifier is located is obtained.

[0059] Further, the filter congestion evaluation calculation based on the filter operation time in the filter operation parameter set corresponding to the area where each air purifier is located and the corresponding air change flow rate during the filter operation process includes:

[0060] Perform air flow simulation analysis based on the filter operation time and air flow change during the filter operation process in the filter operation parameter set corresponding to the area where each air purifier is located, and obtain the air flow simulation field during the filter operation process corresponding to the area where each air purifier is located;

[0061] In an embodiment of the present invention, by combining the filter operation time corresponding to the area where each air purifier is located and the air flow rate change during the filter operation process obtained by previous real-time monitoring and using computational fluid dynamics (CFD) software to establish a three-dimensional model to simulate the air flow, the operating parameters, including the geometry of the filter, air flow rate and speed, etc., are input into the software, and the air flow simulation field of the area where each air purifier is located is calculated by a numerical solution method. This simulation field can intuitively display the flow characteristics of air around the filter, and finally the air flow simulation field of the filter operation process corresponding to the area where each air purifier is located is obtained.

[0062] Preferably, the air flow velocity at different distribution positions of the air flow simulation field of the filter screen operation process corresponding to the area where each air purifier is located is calculated to obtain the air flow velocity at different distribution positions of the filter screen corresponding to the area where each air purifier is located;

[0063] In an embodiment of the present invention, the air flow velocity is quantitatively calculated at different distribution positions of the air flow simulation field of the filter operation process corresponding to the area where each air purifier is located, which is obtained by previously simulating and constructing, so as to set multiple measurement points in each simulation field and extract the air flow velocity of each measurement point from the simulation data by using the flow velocity distribution formula in fluid dynamics. This operation is completed through the post-processing module in the CFD software, which will automatically generate a flow velocity distribution diagram, clearly showing the air flow velocity at each position, and finally obtaining the air flow velocity at different distribution positions of the filter corresponding to the area where each air purifier is located.

[0064] Preferably, the mean and variance of the air flow velocity at different distribution positions of the filter nets corresponding to the areas where each air purifier is located are statistically calculated to obtain the mean and variance of the air flow velocity of the filter nets corresponding to the areas where each air purifier is located;

[0065] In an embodiment of the present invention, by utilizing the air flow velocity at different distribution positions of the filter corresponding to the area where each air purifier is located obtained by quantitative calculation previously, a statistical calculation of the velocity mean and variance is performed, so as to collect the velocity data of different distribution positions of each air purifier, and calculate the mean and standard deviation of the velocity using statistical analysis software. The specific operation is as follows: the mean calculation formula is "mean = Σ velocity / N", and the variance calculation formula is "variance = Σ(velocity - mean)² / (N - 1)", wherein N is the number of data points. The calculation result will reflect the overall characteristics of the air velocity of the filter, help evaluate the working status of the filter, and finally obtain the mean air velocity of the filter corresponding to the area where each air purifier is located and the variance of the air velocity of the filter.

[0066] Preferably, based on the mean value of the air flow velocity of the filter net corresponding to the area where each air purifier is located and the variance of the air flow velocity of the filter net, the air flow simulation field of the corresponding filter net operation process is calculated to obtain the filter net flow resistance coefficient corresponding to the area where each air purifier is located;

[0067] In the embodiment of the present invention, the flow resistance coefficient is quantitatively calculated for the corresponding air flow simulation field of the filter operation process by combining the mean value of the air flow velocity of the filter corresponding to the area where each air purifier is located and the variance of the air flow velocity of the filter obtained by the previous quantitative calculation, so that the mean value and variance of the air flow velocity are used as input parameters, and the calculation is performed using the resistance coefficient formula in fluid mechanics, which is usually "resistance coefficient = ( ) / (dynamic pressure)", where the dynamic pressure can be calculated from the flow velocity and air density. The flow resistance coefficient is calculated using CFD software. The results will be used to evaluate the performance of the filter under different working conditions, and ultimately the filter flow resistance coefficient corresponding to the area where each air purifier is located will be obtained.

[0068] Preferably, filter congestion evaluation calculation is performed on the air change flow rate during the operation of the corresponding filter according to the filter flow resistance coefficient corresponding to the area where each air purifier is located, so as to obtain the filter congestion degree corresponding to the area where each air purifier is located.

[0069] In an embodiment of the present invention, by combining the filter flow resistance coefficient corresponding to the area where each air purifier is located obtained by previous quantitative calculation, the air change flow rate during the operation process of the corresponding filter is evaluated and calculated for congestion of the high-efficiency filter component, so as to obtain the air change flow rate data during the operation process from each air purifier, and combine the flow resistance coefficient with the air flow rate, and apply the blockage evaluation formula in fluid mechanics for calculation. The specific operation is "congestion degree = (flow resistance coefficient × flow rate) / theoretical maximum flow rate", and the calculation result will indicate the filter congestion situation in each area, and finally the filter congestion degree corresponding to the area where each air purifier is located is obtained.

[0070] Furthermore, the filter screen wind speed registration calculation formula is specifically:

[0071] ;

[0072] In the formula, Use the registered wind speed for the filter, Use the wind speed for the filter on the HEPA filter assembly. is the filter air flow rate on the high efficiency filter assembly, is the filter area on the high-efficiency filter assembly, For the filter efficiency, is the fluid dynamics effect factor, is the filter congestion level, is the total number of particles passing through the filter. is the particle type measurement parameter, For the The concentration of particles, is an exponential function, For the The removal distance of particles, is the filter removal efficiency attenuation constant.

[0073] The present invention obtains a filter wind speed registration calculation formula by using a specific mathematical model and after verification, which is used to perform wind speed registration calculation on the filter wind speed on the corresponding high-efficiency filter assembly. The filter wind speed registration calculation formula can accurately adjust the filter's usage registration wind speed by combining the air flow, area and filtration efficiency of the filter to ensure that the air purifier operates at optimal performance. The formula takes into account the congestion level of the filter, which helps to evaluate its impact on filtration efficiency and wind speed, thereby optimizing operating conditions. By considering the concentration and removal distance of different types of particulate matter, the performance of the filter in actual applications can be more comprehensively evaluated. By incorporating fluid dynamics effect factors into the formula, the evaluation is more in line with actual working conditions and adapts to complex flow conditions. Through the accurate calculation of the registration wind speed, reliable data is provided for the subsequent remaining service life evaluation to help formulate a maintenance plan. The formula fully takes into account the filter's usage registration wind speed. , the filter on the high-efficiency filter assembly uses the wind speed , filter air flow on the high efficiency filter assembly , the filter area on the high-efficiency filter assembly , filter efficiency , hydrodynamic effect factor , filter congestion level , the total number of particles passing through the filter , particle type measurement parameters , No. The concentration of particles , exponential function , No. Particle removal distance , filter removal efficiency decay constant , according to the filter use registration wind speed The correlation between the above parameters constitutes a functional relationship This formula can realize the wind speed registration calculation process of the wind speed used by the filter on the corresponding high-efficiency filter assembly. It has significant application value in improving filtration performance, optimizing operating efficiency and extending service life. It provides a powerful tool for the management and optimization of air purifier system components, thereby improving the accuracy and applicability of the filter wind speed registration calculation formula.

[0074] Further, the remaining service life of the filter of the corresponding high-efficiency filter assembly is estimated based on the filter operation time corresponding to the area where each air purifier is located and the registered wind speed of the filter, including:

[0075] Obtain the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located, and obtain the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located;

[0076] In an embodiment of the present invention, each air purifier uses a built-in sensor to collect the total service life of the high-efficiency filter assembly. In specific operations, the sensor begins to record the cumulative operating time of the filter when the device is enabled. These data are regularly uploaded to the central control system. The system compares the cumulative operating time with the standard life of the filter, calculates the total service life of the filter corresponding to the area where each air purifier is located, and finally obtains the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located.

[0077] Preferably, based on the filter operation time corresponding to the area where each air purifier is located, the filter usage frequency of the corresponding high-efficiency filter assembly is evaluated and analyzed to obtain the filter operation usage frequency corresponding to the area where each air purifier is located;

[0078] In an embodiment of the present invention, the usage frequency of the high-efficiency filter components in the corresponding area is evaluated and calculated by combining the filter operating time corresponding to the area where each air purifier is located obtained through previous real-time monitoring, so that the operating time data is extracted from each air purifier through a data processing system, and compared with the preset periodic replacement standard, so as to realize the conversion of the operating time into the filter usage frequency. The specific formula is "usage frequency = operating time / replacement cycle", so as to evaluate and calculate the filter usage frequency of the area where each air purifier is located, and finally obtain the filter operation usage frequency corresponding to the area where each air purifier is located.

[0079] Preferably, the filter usage wind speed impact assessment analysis is performed on the corresponding filter usage registration wind speed according to the filter operation usage frequency corresponding to the area where each air purifier is located, so as to obtain the filter usage wind speed impact factor corresponding to the area where each air purifier is located;

[0080] In the embodiment of the present invention, the influence of the use wind speed is evaluated and calculated by combining the filter operation use frequency corresponding to the area where each air purifier is located obtained by previous evaluation and calculation, and the corresponding filter use registration wind speed obtained by quantitative calculation is used to establish a mathematical model of the relationship between the use frequency and the use wind speed obtained by registration calculation by linear regression analysis, and calculate the influence factor, for example, the wind speed influence factor = Finally, the wind speed influencing factor of the filter usage corresponding to the area where each air purifier is located is quantitatively calculated.

[0081] Preferably, the remaining service life of the filter is estimated based on the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located, the filter operation time and the wind speed influencing factor of the filter, so as to obtain the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located.

[0082] In an embodiment of the present invention, the remaining service life of the corresponding high-efficiency filter assembly is estimated by combining the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located, the filter operating time and the wind speed influence factor of the filter obtained by previous analysis, and the calculation is performed using the formula "remaining service life = total service life - (operating time × wind speed influence factor)". This calculation relies on a data processing algorithm to ensure the accuracy of the result. The estimated result will be uploaded to the central control system and displayed in a visual manner to ensure that the air purifier filter assembly can operate in the best state, and finally the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located is obtained.

[0083] Further, the estimating the remaining UV service life of the UV components corresponding to the areas where the air purifiers are located by using the data processing center based on the UV lamp operation parameter sets corresponding to the areas where the air purifiers are located includes:

[0084] The data processing center is used to perform statistical calculations on the UV lamp operation time and UV lamp light output intensity in the UV lamp operation parameter set corresponding to the area where each air purifier is located, and the UV lamp operation efficiency corresponding to the area where each air purifier is located is obtained;

[0085] In an embodiment of the present invention, the data processing center uses an operating efficiency statistical method to quantify the operating efficiency of the UV lamp operating time and the UV lamp light output intensity in the UV lamp operating parameter set corresponding to the area where each air purifier is located, so as to use a data analysis tool to calculate the UV lamp operating efficiency of each air purifier area. The formula is "operating efficiency = light output intensity / operating time". This calculation is performed through an automated script to ensure that all data is updated in real time, and finally the UV lamp operating efficiency corresponding to the area where each air purifier is located is obtained.

[0086] Preferably, based on the UV light output intensity corresponding to the area where each air purifier is located, the light attenuation characteristic of the corresponding UV component is analyzed to obtain the UV light attenuation characteristic parameters corresponding to the area where each air purifier is located;

[0087] In an embodiment of the present invention, a statistical analysis of the light attenuation characteristics of the corresponding UV components is performed by combining the UV light output intensity corresponding to the area where each air purifier is located obtained by previous real-time monitoring. The analysis process is based on the record of the change of light intensity over time, and a curve fitting algorithm is used to model the light attenuation characteristics. In the specific implementation process, the data of the light output intensity of each air purifier changing over time are first collected, and by applying a linear regression or exponential decay model, the change of light intensity is analyzed to determine the attenuation rate and characteristic parameters, and finally the UV light attenuation characteristic parameters corresponding to the area where each air purifier is located are obtained.

[0088] Preferably, the performance status of the corresponding UV components is evaluated and analyzed based on the UV lamp operating efficiency and UV lamp light attenuation characteristic parameters corresponding to the area where each air purifier is located, and the UV lamp performance status percentage corresponding to the area where each air purifier is located is obtained;

[0089] In an embodiment of the present invention, the performance status percentage of the corresponding UV component is evaluated and calculated by combining the UV lamp operating efficiency and UV light attenuation characteristic parameters corresponding to the area where each air purifier is located obtained by previous quantitative calculation, and the operating efficiency is combined with the attenuation characteristic parameters to set an evaluation calculation formula, such as performance status percentage = (UV lamp operating efficiency / theoretical optimal efficiency) × UV light attenuation characteristic parameters, and the performance status percentage of each UV component is calculated. The specific calculation process includes comparing the operating efficiency with the theoretical optimal efficiency to obtain a relative performance value, and then calculating the performance status percentage in combination with the attenuation characteristics, and finally obtaining the UV lamp performance status percentage corresponding to the area where each air purifier is located.

[0090] Preferably, the remaining service life of the UV components is estimated based on the operating time of the UV lamps corresponding to the areas where the air purifiers are located and the percentage of the performance status of the UV lamps, so as to obtain the remaining service life of the UV components corresponding to the areas where the air purifiers are located.

[0091] In an embodiment of the present invention, the remaining service life of the corresponding UV component is estimated by combining the operating time of the UV lamp corresponding to the area where each air purifier is located and the performance status percentage of the UV lamp obtained in the previous analysis, and the remaining service life of the corresponding UV component is quantitatively calculated by using the known operating time and performance status percentage through the formula "remaining service life = operating time × performance status percentage", and finally the remaining service life of the UV component corresponding to the area where each air purifier is located is obtained.

[0092] Furthermore, the distributed intelligent control module of the area to be purified includes the following functions:

[0093] The remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located are uploaded to the central control system through the distributed intelligent control network of the area to be purified;

[0094] In an embodiment of the present invention, by using a previously connected and established distributed intelligent control network of the area to be purified, the estimated remaining service life of the high-efficiency filter assembly and the remaining service life of the UV assembly in the area where each air purifier is located are uploaded to the central control system in real time. The uploading process uses the Internet of Things (IoT) communication protocol to ensure stable transmission of data through a wireless network or a wired network. The component sensors built into each air purifier regularly detect the usage status of the filter and UV assembly, and use the data processing center to calculate the remaining service life, which is sent to the central control system through the network to achieve centralized monitoring and management of the data.

[0095] Preferably, the corresponding component life risk threshold is set by the central control system to compare and judge the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the areas where each air purifier is located. If the remaining service life of the high-efficiency filter components or the remaining service life of the UV components corresponding to the areas where each air purifier is located is greater than or equal to the corresponding component life risk threshold, the high-efficiency filter components or UV components corresponding to the areas where the air purifiers are located are subjected to distributed replacement and reset intelligent control, and a component distributed replacement and reset control strategy is generated to execute the corresponding air purifier component replacement and reset control work;

[0096] In an embodiment of the present invention, by setting corresponding component life risk thresholds (including high-efficiency filter component life risk thresholds and UV component life risk thresholds) in the central control system, the remaining life of the high-efficiency filter components and the remaining life of the UV components corresponding to the areas where the received air purifiers are located are compared and judged. If the remaining life of the high-efficiency filter component or the UV component of a certain air purifier is greater than or equal to its corresponding life risk threshold, the system will automatically respond to generate a replacement and reset control strategy corresponding to the components in each air purifier. This strategy is sent to the corresponding air purifier through a control signal, and the instruction instructs it to perform distributed replacement and reset of the components, ensuring that the corresponding high-efficiency filter component or UV component in the corresponding air purifier can be automatically replaced when the remaining life reaches the risk warning point, and its corresponding life is reset, so that it always runs in a safe and efficient state, and finally responds to generate a distributed component replacement and reset control strategy to execute the corresponding air purifier component replacement and reset control work.

[0097] Preferably, if the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the areas where the air purifiers are located are both less than the corresponding component service life risk thresholds, the area to be purified is covered by the areas where the air purifiers are located based on the area to be purified, so as to obtain the coverage size of the area to be purified corresponding to each air purifier;

[0098] In an embodiment of the present invention, if it is determined that the remaining service life of the high-efficiency filter assembly and the remaining service life of the UV assembly corresponding to the area where each air purifier is located are lower than the corresponding service life risk threshold, the system first performs coverage calculation of the area to be purified based on the area to be purified. The calculation is implemented through a map positioning system and an area division algorithm. The known range of the area to be purified and the purification capacity range of each air purifier are used to calculate the coverage range of the area to be purified of each air purifier, that is, the coverage area between the purification capacity range of each air purifier and the area to be purified. The coverage range size of the area to be purified is transmitted back to the central control system, and finally the coverage range size of the area to be purified corresponding to each air purifier is obtained.

[0099] Preferably, the corresponding air purifiers are prioritized for purification based on the coverage size of the area to be purified corresponding to each air purifier, so as to obtain a priority sequence of the air purifiers to be purified;

[0100] In an embodiment of the present invention, the corresponding air purifiers are sorted according to their priority levels for purification by combining the coverage sizes of the areas to be purified corresponding to the air purifiers obtained by previous calculations, so that the purifiers are arranged according to the priority levels for purification according to the sizes of the areas to be purified covered by each purifier, thereby ensuring the rational allocation of resources and giving priority to areas with large coverage areas to be purified, and finally obtaining a priority sequence of air purifiers to be purified.

[0101] Preferably, according to the remaining service life of the high-efficiency filter components corresponding to the air purifiers in the priority sequence of air purifiers to be purified and the remaining service life of the UV components, the purification priority distributed intelligent control of the area to be purified is performed, and a regional distributed purification adjustment control strategy is generated to execute the corresponding distributed purification adjustment control work of the area to be purified.

[0102] In an embodiment of the present invention, distributed intelligent control is performed on each air purifier according to the priority sorting sequence of air purifiers to be purified obtained previously, so as to dynamically adjust the purification strategy according to the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to each purifier, and the central control system uses a control algorithm to set the working mode and operating time of each purifier to ensure efficient air purification within the coverage area, and finally generate a regional distributed purification adjustment control strategy to ensure that the area where each purifier is located can complete the air quality improvement work within the specified time according to the priority sorting sequence, thereby maximizing the overall purification efficiency of the entire area to be purified.

[0103] Furthermore, the present invention also provides an air purifier, characterized in that it includes an air purifier main body, a power supply unit and an electrical control unit, the power supply unit and the electrical control unit are installed on the air purifier main body, the electrical control unit is electrically connected to the power supply unit, and the electrical control unit includes a processor, a memory and a distributed intelligent control system for executing the above-mentioned.

[0104] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A distributed intelligent control system, characterized in that: Applied to air purifiers, the distributed intelligent control system includes the following modules: A distributed control network establishment module is used to install and deploy air purifiers in the area to be purified, and to integrate and pre-install two high-efficiency filter components, two UV components and a wall control component in the main body of each air purifier, wherein the high-efficiency filter component and the UV component are electrically connected to the wall control component; perform hotspot compatible network distribution and distributed node design on each air purifier to obtain a distributed purification sub-node corresponding to each air purifier; connect the distributed purification sub-node corresponding to each air purifier to the central control system through a wireless communication network to generate a distributed intelligent control network for the area to be purified; The parameter collection module of the area where the purifier is located is used to monitor the filter and UV lamp operating parameters of the corresponding air purifier area in real time through each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area, wherein the filter operating parameter set includes the filter operating time, the particle concentration and carbon dioxide concentration of the filter inlet and outlet, and the air flow rate change during the filter operation process, and the UV lamp operating parameter set includes the UV lamp operating time and the UV lamp light output intensity; the filter operating parameter set and UV lamp operating parameter set corresponding to each air purifier area are sent to the data processing center of the corresponding wall control component; The regional component service life estimation module is used to estimate the remaining service life of the high-efficiency filter components and UV components corresponding to the regions where each air purifier is located based on the filter operating parameter set and UV lamp operating parameter set corresponding to the regions where each air purifier is located, using the data processing center, so as to obtain the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the regions where each air purifier is located; wherein the regional component service life estimation module includes the following functions: The data processing center is used to evaluate and calculate the filter efficiency of the filter operation time, the filter inlet particulate matter concentration and the inlet carbon dioxide concentration, and the filter outlet particulate matter concentration and the outlet carbon dioxide concentration in the filter operation parameter set corresponding to the area where each air purifier is located, and obtain the filter efficiency corresponding to the area where each air purifier is located; Based on the filter operation time in the filter operation parameter set corresponding to the area where each air purifier is located, the filter congestion evaluation calculation is performed on the corresponding air change flow rate during the filter operation process to obtain the filter congestion degree corresponding to the area where each air purifier is located; Based on the filter efficiency and filter congestion degree corresponding to the area where each air purifier is located, the filter wind speed registration calculation formula is used to perform wind speed registration calculation on the filter wind speed on the corresponding high-efficiency filter assembly to obtain the filter registration wind speed corresponding to the area where each air purifier is located; wherein the filter wind speed registration calculation formula is specifically: ； In the formula, Use the registered wind speed for the filter, Use the wind speed for the filter on the HEPA filter assembly. is the filter air flow rate on the high efficiency filter assembly, is the filter area on the high-efficiency filter assembly, is the filtration efficiency of the filter. is the fluid dynamics effect factor, is the filter congestion level, is the total number of particles passing through the filter. is the particle type measurement parameter, For the The concentration of particles, is an exponential function, For the The removal distance of particles, is the filter removal efficiency attenuation constant; Based on the filter operation time corresponding to the area where each air purifier is located and the registered wind speed of the filter, the remaining service life of the corresponding high-efficiency filter assembly is estimated to obtain the remaining service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located; Based on the UV lamp operation parameter set corresponding to the area where each air purifier is located, the data processing center is used to estimate the UV remaining service life of the UV components corresponding to the area where each air purifier is located, so as to obtain the remaining service life of the UV components corresponding to the area where each air purifier is located; The distributed intelligent control module of the area to be purified is used to upload the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located to the central control system through the distributed intelligent control network of the area to be purified, and use the central control system to perform distributed intelligent control on the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located based on the area to be purified, and generate a distributed intelligent control strategy for component distributed replacement and reset control strategy and a regional distributed purification adjustment control strategy to execute the corresponding air purifier component replacement and reset control work and distributed purification adjustment control work in the area to be purified.

2. The distributed intelligent control system according to claim 1, characterized in that: The distributed control network establishment module includes the following functions: By installing and deploying air purifiers in the area to be purified, and pre-installing two high-efficiency filter components, two UV components and a wall control component in the main body of each air purifier, wherein the high-efficiency filter component and the UV component are electrically connected to the wall control component; Collect hotspot network technical specification parameters for each pre-installed component in each air purifier to obtain hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier; Based on the hotspot network technical specification parameters corresponding to each pre-installed component in each air purifier, each air purifier is subjected to hotspot compatible network distribution processing to obtain each air purifier hotspot compatible network distribution device; By designing each air purification hotspot compatible network distributor as each distributed purification control node in the distributed network, the distributed purification sub-node corresponding to each air purifier is obtained; The distributed purification sub-nodes corresponding to each air purifier are connected to the central control system through a distributed network through a wireless communication network to generate a distributed intelligent control network for the area to be purified.

3. The distributed intelligent control system according to claim 1, characterized in that: The parameter acquisition module for the area where the purifier is located includes the following functions: The operation time of the filter in the corresponding air purifier area is monitored in real time by the time monitor built in the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the operation time of the filter corresponding to the area where each air purifier is located; the inlet and outlet air particle concentration and carbon dioxide concentration monitors in the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified are used to monitor the inlet and outlet air particle concentration and carbon dioxide concentration of the corresponding air purifier area in real time, so as to obtain the filter inlet and outlet air particle concentration and carbon dioxide concentration corresponding to the area where each air purifier is located, wherein the filter inlet and outlet air particle concentration and carbon dioxide concentration include the filter inlet particle concentration and inlet carbon dioxide concentration and the filter outlet particle concentration and outlet carbon dioxide concentration; the filter air flow rate in the corresponding air purifier area is monitored in real time by the air flow meter built in the high-efficiency filter assembly at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, so as to obtain the air change flow rate during the operation of the filter corresponding to the area where each air purifier is located; The filter operation time corresponding to the area where each air purifier is located, the concentration of particulate matter and carbon dioxide in the filter and the air flow rate during the filter operation process are combined to obtain the filter operation parameter set corresponding to the area where each air purifier is located; Through the built-in time monitor of the UV component at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, the operating time of the UV lamp in the corresponding air purifier area is monitored in real time, and the operating time of the UV lamp corresponding to the area where each air purifier is located is obtained; through the built-in light intensity sensor of the UV component at each distributed purification sub-node in the distributed intelligent control network of the area to be purified, the UV light intensity output of the corresponding air purifier area is monitored in real time, and the UV light output intensity corresponding to the area where each air purifier is located is obtained; The UV lamp operation time and UV lamp output intensity corresponding to the area where each air purifier is located are combined into UV lamp operation parameters to obtain a UV lamp operation parameter set corresponding to the area where each air purifier is located; The filter operating parameter set and UV lamp operating parameter set corresponding to the area where each air purifier is located are sent to the data processing center of the corresponding wall control component through the wireless transmission network.

4. The distributed intelligent control system according to claim 1, characterized in that: The filter congestion evaluation calculation based on the filter operation time in the filter operation parameter set corresponding to the area where each air purifier is located and the corresponding air change flow rate during the filter operation process includes: Perform air flow simulation analysis based on the filter operation time and air flow change during the filter operation process in the filter operation parameter set corresponding to the area where each air purifier is located, and obtain the air flow simulation field during the filter operation process corresponding to the area where each air purifier is located; The air flow velocity at different distribution positions of the air flow simulation field of the filter screen operation process corresponding to the area where each air purifier is located is calculated to obtain the air flow velocity at different distribution positions of the filter screen corresponding to the area where each air purifier is located; The mean and variance of the air flow velocity at different distribution positions of the filters corresponding to the areas where the air purifiers are located are statistically calculated to obtain the mean and variance of the air flow velocity of the filters corresponding to the areas where the air purifiers are located; Based on the mean value of the air flow velocity of the filter net corresponding to the area where each air purifier is located and the variance of the air flow velocity of the filter net, the filter net flow resistance coefficient is calculated for the air flow simulation field of the corresponding filter net operation process, and the filter net flow resistance coefficient corresponding to the area where each air purifier is located is obtained; According to the filter flow resistance coefficient corresponding to the area where each air purifier is located, the filter congestion evaluation calculation is performed on the corresponding air change flow during the filter operation process to obtain the filter congestion degree corresponding to the area where each air purifier is located.

5. The distributed intelligent control system according to claim 1, characterized in that: The remaining service life of the filter of the corresponding high-efficiency filter assembly is estimated based on the filter operation time corresponding to the area where each air purifier is located and the registered wind speed of the filter, including: Obtain the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located, and obtain the total service life of the high-efficiency filter assembly corresponding to the area where each air purifier is located; Based on the filter operation time corresponding to the area where each air purifier is located, the filter usage frequency of the corresponding high-efficiency filter assembly is evaluated and analyzed to obtain the filter operation frequency corresponding to the area where each air purifier is located; According to the filter operation frequency corresponding to the area where each air purifier is located, the corresponding filter usage registration wind speed is used to evaluate and analyze the filter usage wind speed impact, and obtain the filter usage wind speed impact factor corresponding to the area where each air purifier is located; The remaining service life of the filter is estimated based on the total service life of the high-efficiency filter components corresponding to the area where each air purifier is located, the filter operation time and the wind speed influencing factor of the filter use, so as to obtain the remaining service life of the high-efficiency filter components corresponding to the area where each air purifier is located.

6. The distributed intelligent control system according to claim 1, characterized in that: The method of using a data processing center to estimate the remaining UV service life of UV components corresponding to the areas where each air purifier is located based on the UV lamp operation parameter set corresponding to the areas where each air purifier is located includes: The data processing center is used to perform statistical calculations on the UV lamp operation time and UV lamp light output intensity in the UV lamp operation parameter set corresponding to the area where each air purifier is located, and the UV lamp operation efficiency corresponding to the area where each air purifier is located is obtained; Based on the UV light output intensity corresponding to the area where each air purifier is located, the light attenuation characteristic of the corresponding UV component is analyzed to obtain the UV light attenuation characteristic parameters corresponding to the area where each air purifier is located; Based on the UV lamp operating efficiency and UV light attenuation characteristic parameters corresponding to the area where each air purifier is located, the performance status of the corresponding UV components is evaluated and analyzed to obtain the UV lamp performance status percentage corresponding to the area where each air purifier is located; Based on the UV lamp operating time corresponding to the area where each air purifier is located and the UV lamp performance status percentage, the UV remaining service life of the corresponding UV component is estimated to obtain the remaining service life of the UV component corresponding to the area where each air purifier is located.

7. The distributed intelligent control system according to claim 1, characterized in that: The distributed intelligent control module of the area to be purified includes the following functions: The remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the area where each air purifier is located are uploaded to the central control system through the distributed intelligent control network of the area to be purified; The corresponding component life risk threshold is set by using the central control system to compare and judge the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the areas where each air purifier is located. If the remaining service life of the high-efficiency filter components or the remaining service life of the UV components corresponding to the areas where each air purifier is located is greater than or equal to the corresponding component life risk threshold, the high-efficiency filter components or UV components corresponding to the areas where the air purifiers are located are subjected to distributed replacement and reset intelligent control, and a component distributed replacement and reset control strategy is generated to execute the corresponding air purifier component replacement and reset control work; If the remaining service life of the high-efficiency filter components and the remaining service life of the UV components corresponding to the areas where the air purifiers are located are less than the corresponding component service life risk thresholds, the coverage of the area to be purified is calculated for the areas where the air purifiers are located based on the area to be purified, so as to obtain the coverage size of the area to be purified corresponding to each air purifier; Based on the coverage size of the area to be purified corresponding to each air purifier, the corresponding air purifiers are prioritized for purification to obtain a priority sequence of air purifiers to be purified; According to the remaining service life of the high-efficiency filter components corresponding to the air purifiers in the priority sequence of air purifiers to be purified and the remaining service life of the UV components, the purification priority distributed intelligent control of the areas to be purified is performed, and a regional distributed purification adjustment control strategy is generated to execute the corresponding distributed purification adjustment control work of the areas to be purified.

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