Indoor air quality management and control system based on negative ion monitoring

Abstract

The invention discloses an indoor air quality management and control system based on negative ion monitoring, and relates to the technical field of air quality management and control, the system comprises a negative ion monitoring module, a first negative ion sensor carries out negative ion monitoring on an indoor high-altitude area, and a second negative ion sensor carries out negative ion monitoring on an indoor low-altitude area; acquiring first monitoring data and second monitoring data according to the negative ion monitoring module; inputting the first monitoring data and the second monitoring data into an illumination catalysis control module; and the air quality management and control module is used for outputting catalysis control parameters according to the illumination catalysis control module and carrying out indoor air quality management and control according to the catalysis control parameters. The technical problems that in the prior art, indoor negative ion monitoring is not comprehensive, and an illumination catalysis device cannot be precisely regulated and controlled to improve the air quality are solved, and the technical effects of saving energy, improving efficiency, precisely monitoring negative ion distribution in areas with different heights indoors and efficiently improving the indoor air quality are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of air quality control, and in particular to an indoor air quality control system based on negative ion monitoring. Background Art

[0002] In today's society, people spend more and more time indoors, and the impact of indoor air quality on health is becoming more and more significant. Although traditional air conditioners can adjust temperature and humidity, their ability to purify air is limited, and ventilation equipment can hardly meet demand in bad weather. With the development of science and technology, the advantages of negative ion air purification have become more prominent, but the early negative ion monitoring technology has a one-sided monitoring range and lacks effective linkage with the existing air conditioning system. It is impossible to accurately control the light catalytic device, and it is difficult to give full play to the potential of negative ion air purification to efficiently improve air quality.

[0003] The existing technology has technical problems such as incomplete indoor negative ion monitoring and inability to accurately control the photocatalytic device to improve air quality. Summary of the invention

[0004] The present application provides an indoor air quality control system based on negative ion monitoring, which is used to solve the technical problems in the prior art of incomplete indoor negative ion monitoring and inability to accurately control the photocatalytic device to improve air quality.

[0005] In view of the above problems, the present application provides an indoor air quality control system based on negative ion monitoring.

[0006] The present application provides an indoor air quality control system based on negative ion monitoring, the system comprising: A negative ion monitoring module, the negative ion monitoring module includes a first negative ion sensor and a second negative ion sensor, wherein the first negative ion sensor is used to monitor negative ions in a high-altitude area indoors, and the second negative ion sensor is used to monitor negative ions in a low-altitude area indoors; a monitoring data acquisition module, the monitoring data acquisition module is used to acquire first monitoring data and second monitoring data corresponding to the first negative ion sensor and the second negative ion sensor respectively according to the negative ion monitoring module; a monitoring data input module, the monitoring data input module is used to input the first monitoring data and the second monitoring data into a photocatalytic control module, wherein the photocatalytic control module is connected to a photocatalytic device, the photocatalytic device includes a photocatalyst and a light source, and the photocatalyst promotes the generation of negative ions under the irradiation of the light source; an air quality control module, the air quality control module is used to output catalytic control parameters according to the photocatalytic control module, and perform indoor air quality control according to the catalytic control parameters.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: Negative ion monitoring module, wherein the first negative ion sensor is used to monitor negative ions in indoor high altitude areas, and the second negative ion sensor is used to monitor negative ions in indoor low altitude areas; monitoring data acquisition module, used to obtain first monitoring data and second monitoring data according to the negative ion monitoring module; monitoring data input module, the monitoring data input module is used to input the first monitoring data and the second monitoring data into the photocatalytic control module; air quality control module, according to the photocatalytic control module, outputs catalytic control parameters, and performs indoor air quality control according to the catalytic control parameters. The technical effects of energy saving and efficiency improvement, accurate monitoring of negative ion distribution in different indoor altitude areas, and efficient improvement of indoor air quality are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A structural schematic diagram of an indoor air quality control system based on negative ion monitoring is provided for an embodiment of the present application.

[0010] Figure 2 A flow chart of optimized catalytic control parameters output by an air quality control module of an indoor air quality control system based on negative ion monitoring is provided for an embodiment of the present application.

[0011] Explanation of the accompanying drawings: negative ion monitoring module 10, monitoring data acquisition module 20, monitoring data input module 30, air quality control module 40. DETAILED DESCRIPTION

[0012] The present application provides an indoor air quality control system based on negative ion monitoring, which is used to solve the technical problems in the prior art that indoor negative ion monitoring is not comprehensive and the photocatalytic device cannot be accurately controlled to improve air quality. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of them. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0013] Embodiment 1, as Figure 1 As shown, the present application provides an indoor air quality control system based on negative ion monitoring, the system comprising: The negative ion monitoring module 10 includes a first negative ion sensor and a second negative ion sensor, wherein the first negative ion sensor is used to monitor negative ions in a high-altitude area indoors, and the second negative ion sensor is used to monitor negative ions in a low-altitude area indoors.

[0014] Specifically, the negative ion monitoring module 10 is the part of the whole system that is specifically responsible for negative ion monitoring. This module is composed of two different negative ion sensors, namely the first negative ion sensor and the second negative ion sensor. Due to the characteristic that negative ions will settle after adsorbing substances, in order to more comprehensively and accurately understand the negative ion status of indoor air, it is necessary to monitor different height areas respectively. The role of the first negative ion sensor is to monitor the high-altitude area in the room, because before the sedimentation, the negative ion distribution in the high-altitude area has certain characteristics and rules. The second negative ion sensor focuses on the monitoring of the indoor low-altitude area. Due to the sedimentation of negative ions, the particle content in the low-altitude area is different from that in the high-altitude area, and the direct impact on people's life and breathing is also more direct and important. Through this method of separately monitoring high-altitude and low-altitude areas, data support is provided for more accurately evaluating indoor air quality, formulating more targeted air purification and improvement measures, and improving the effect and efficiency of regulation.

[0015] The monitoring data acquisition module 20 is used to acquire the first monitoring data and the second monitoring data corresponding to the first negative ion sensor and the second negative ion sensor respectively according to the negative ion monitoring module.

[0016] Specifically, the monitoring data acquisition module 20 functions to work closely with the negative ion monitoring module. The first negative ion sensor in the negative ion monitoring module focuses on monitoring the negative ions in the indoor high altitude area, while the second negative ion sensor is responsible for the monitoring of the indoor low altitude area. The monitoring data acquisition module 20 will communicate and exchange data with these two sensors at a specific frequency and method. It will receive the detailed information about the indoor high altitude area negative ions transmitted by the first negative ion sensor in real time, and these information constitute the first monitoring data. These data include the key indicators such as the concentration, change trend, and fluctuation range of the negative ions in the high altitude area. At the same time, the module will also accurately obtain the relevant data of the indoor low altitude area negative ions collected by the second negative ion sensor, i.e., the second monitoring data. This part of the data covers the important information such as the real-time concentration value of the negative ions in the low altitude area, the increase and decrease in a specific time period, and the association with other environmental factors. By acquiring rich data from monitoring sensors in different areas in an orderly, accurate and timely manner, the monitoring data acquisition module 20 provides solid, accurate and indispensable raw materials for subsequent data analysis, processing and decision-making of the entire system, ensuring that the system can make accurate and effective judgments and actions based on comprehensive and real monitoring data.

[0017] A monitoring data input module 30 is used to input the first monitoring data and the second monitoring data into a photocatalytic control module, wherein the photocatalytic control module is connected to a photocatalytic device, the photocatalytic device includes a photocatalyst and a light source, and the photocatalyst promotes the generation of negative ions under the irradiation of the light source.

[0018] Specifically, the monitoring data input module 30 is mainly responsible for receiving the first monitoring data (negative ion monitoring data from the indoor high altitude area) and the second monitoring data (negative ion monitoring data from the indoor low altitude area) acquired by the monitoring data acquisition module 20. Subsequently, the monitoring data input module 30 will accurately input these data into the photocatalytic control module. The photocatalytic control module is closely connected with the photocatalytic device. This photocatalytic device consists of a photocatalyst and a light source. When the light source irradiates the photocatalyst, it can promote the generation of negative ions. Implementation process: Under the irradiation of the light source, the catalyst is excited to generate electrons and holes. The electrons on the surface of the photocatalyst react with the oxygen in the air to generate superoxide negative ions. The air is circulated through the fan, and large particles and suspended matter are removed through the primary, medium and high efficiency filters. The negative ions and the electrons-holes generated by the photocatalyst react with the pollutants in the air to decompose harmful substances, thereby improving the indoor air quality. Timely and effective delivery of key data to the control module can better play the air purification role of the photocatalytic device and improve the indoor air quality.

[0019] The air quality control module 40 is used to output catalytic control parameters according to the light catalytic control module, and perform indoor air quality control according to the catalytic control parameters.

[0020] Specifically, the air quality control module 40 is an important component of the entire system responsible for ultimately achieving effective management and control of indoor air quality. The module is closely connected to the photocatalytic control module and continuously receives a series of precise catalytic control parameters output by it. These parameters do not exist in isolation, but are the results of the photocatalytic control module based on the rich data transmitted from the monitoring data acquisition module and the monitoring data input module, after analysis and calculation. For example, when the monitoring data shows that the negative ion concentrations in the high and low altitude areas of the room are lower than the set ideal value, the photocatalytic control module will output parameters for increasing the light source irradiation intensity and extending the irradiation time. After receiving these parameters, the air quality control module 40 will immediately send instructions to the light source control system to accurately adjust the current, voltage and other parameters of the light source to achieve an increase in intensity and time. For another example, if the monitoring data shows that the negative ion concentration in a certain area is too high or too low, and the activity or usage of the photocatalyst needs to be adjusted, the photocatalytic control module will output corresponding parameters, such as changing the amount of photocatalyst or replacing it with a more efficient photocatalyst type. The air quality control module 40 will interact with the relevant material supply and delivery systems to ensure that the adjustment operation of the photocatalyst is accurately performed according to the parameter requirements. In addition, the air quality control module 40 will continue to monitor and evaluate the execution effect of these control parameters, and will obtain the latest data on indoor air quality in real time through communication with other monitoring equipment, and compare it with the set quality standards. If it is found that the adjusted effect does not meet expectations, it will feedback and interact with the photocatalytic control module, prompting it to recalculate and optimize the control parameters, and then perform the adjustment operation again, forming a dynamic and continuously optimized control cycle. According to the precise catalytic control parameters, the indoor air quality is finely adjusted to ensure that the air quality accurately reaches the ideal standard.

[0021] In a possible implementation, the air quality control module 40 further includes: Among them, the photocatalytic control module is connected to the negative ion generator; the workload rate of the negative ion generator is obtained; the photocatalytic control module is input according to the workload rate as a constraint condition, the output catalytic control parameters are optimized, and the optimized catalytic control parameters are output.

[0022] Specifically, in the entire system architecture, there is a direct physical connection or data communication link between the photocatalytic control module and the negative ion generator. This connection enables the photocatalytic control module to exchange information and transmit control instructions with the negative ion generator. The photocatalytic control module can obtain the operating status information of the negative ion generator, and can also send control signals to the negative ion generator to adjust its operating mode, power output and other parameters, so as to work together to optimize and control the indoor air quality.

[0023] By installing special sensors, such as current sensors, voltage sensors or power sensors, at key parts of the negative ion generator, the changes in parameters such as current, voltage or power during operation are monitored in real time. The collected data such as current, voltage or power are converted into workload values, and the workload change per unit time is further calculated to obtain the workload rate. This calculation process will take into account the influence of factors such as the working characteristics, internal structure and external environment of the negative ion generator to ensure the accuracy and reliability of the calculation results. At the same time, in order to improve the accuracy and stability of the data, the collected data will be filtered, smoothed or sampled multiple times to take the average value. The workload rate obtained will be stored in the system database in the form of a digital signal for subsequent analysis, control and optimization.

[0024] In this photocatalytic control module, the particle swarm optimization algorithm is used to set the dimension of the problem for the particle swarm optimization algorithm. The dimension here refers to the catalytic control parameters to be optimized, such as light intensity, light time and photocatalyst dosage. Each parameter can be regarded as a dimension of the particle position. First, a group of particles are randomly generated. The position of each particle represents a possible combination of catalytic control parameters. At the same time, an initial speed is set for each particle. In each iteration, each particle will change its speed and position according to two key information. One is the best position it has experienced before, that is, the optimal catalytic control parameter combination it has found; the other is the best position found by the entire particle group so far, which is the optimal catalytic control parameter combination among all particles. For example, the current position of a particle is represented by a set of specific parameter values ​​(such as the current light intensity, time and dosage), and its own optimal position and the optimal position of the entire particle group also correspond to specific parameter values. The particle update speed is calculated by first multiplying an inertia weight to retain the previous speed influence, and then adding the product of the difference between its own optimal position and the optimal position of the group and the current position after multiplying two random numbers by the learning factor. After obtaining the new speed, the particle changes its position according to the new speed, that is, updates the catalytic control parameter combination. However, after updating the position, it is necessary to check whether the new parameter combination will cause the workload rate to exceed the set constraints. If it exceeds, it is necessary to find a way to adjust the speed of the particle or reset it to a position within the constraint. In this way, the iterative process is repeated continuously. With repeated iterations, the particle swarm gradually approaches the optimal position, and finally finds a parameter combination that not only meets the workload rate constraint but also achieves the best catalytic control effect.

[0025] In a possible implementation, the air quality control module 40 further includes: Obtain the photocatalyst material of the photocatalytic device; determine the photocatalytic rate of the photocatalyst material and the preset negative ion concentration index; the photocatalytic control module uses the preset negative ion concentration index as a target and the photocatalytic rate as an input to quantitatively analyze the first monitoring data and the second monitoring data to obtain catalytic control parameters, wherein the catalytic control parameters include light source intensity, light source power, photocatalytic reaction time and negative ion generator operating frequency.

[0026] Specifically, first, the photocatalyst material used in the photocatalytic device is obtained, which is the basis for subsequent analysis and control, because different photocatalyst materials have different characteristics and performances.

[0027] Determining the photocatalytic rate of the photocatalyst material is to clarify the speed at which this specific photocatalyst material promotes chemical reactions under certain conditions (such as specific light intensity, temperature, reactant concentration, etc.) through a series of experiments, tests or based on existing research data. This rate can usually be expressed in terms of the amount of reactant conversion or the amount of product generated per unit time. The preset negative ion concentration index is to set a negative ion concentration value expected to be achieved in indoor air in advance according to specific application scenarios and needs. This indicator is determined based on specific requirements for air quality, relevant health standards, or users' expectations for indoor environmental comfort. For example, in a medical setting with high air quality requirements, a higher negative ion concentration index is preset; while in a general living environment, the preset index may be relatively low but still meet basic air purification and comfort requirements. By determining the photocatalytic rate and the preset negative ion concentration index, clear goals and metrics are provided for subsequent control and optimization work, so as to adjust the working parameters of the photocatalytic device to achieve the preset negative ion concentration target.

[0028] The preset negative ion concentration index is not set arbitrarily, but is carefully determined according to the specific needs of the indoor environment, relevant air quality standards, and the user's expectations for health and comfort. For example, for a laboratory environment that requires strict air quality control, the preset negative ion concentration index may be set very high to ensure the purity of the air during the experiment. The photocatalytic rate, as a key input data, is a quantitative description of the performance of the photocatalyst material. It is obtained by conducting a series of precise tests on the photocatalyst material under specific experimental conditions. These experiments control factors such as light intensity, wavelength, temperature, and reactant concentration to accurately measure the amount of reactants that the photocatalyst material can convert or the amount of products generated per unit time. In photocatalytic control, the method of multiple linear regression is used to establish relevant relationships. First, a large amount of past data should be accumulated. These data cover various indoor conditions at different time points, such as temperature, humidity, and pollutant concentration, as well as the photocatalytic rate, the preset negative ion concentration index, and the specific catalytic control parameters used at the time, including light source intensity, light source power, photocatalytic reaction time, and negative ion generator operating frequency. These collected data are organized into a complete set. In this set, temperature, humidity, pollutant concentration, photocatalytic rate and preset negative ion concentration index are regarded as influencing factors, that is, independent variables. Light source intensity, light source power, photocatalytic reaction time and negative ion generator working frequency are regarded as the results we want to obtain, that is, dependent variables. The algorithm of multiple linear regression is used to process and analyze this sorted data set to obtain a set of linear equations. For example, light source intensity can be expressed by a linear expression containing independent variables such as temperature, humidity, pollutant concentration, photocatalytic rate and preset negative ion concentration index, and a constant term is added. Light source power, photocatalytic reaction time and negative ion generator working frequency also have similar expressions. When there are new monitoring data, such as new temperature, humidity, pollutant concentration, and newly set preset negative ion concentration index, these new data are substituted into the previously obtained linear equation to calculate the corresponding catalytic control parameters such as light source intensity, light source power, photocatalytic reaction time and negative ion generator working frequency. The determination of these parameters is aimed at accurately regulating the working state of the photocatalytic device and the negative ion generator to achieve the preset negative ion concentration index, thereby effectively improving the indoor air quality.

[0029] In one possible implementation, Figure 2 As shown, the air quality control module 40 also includes: According to the air quality monitoring module, air monitoring data is obtained, and the air monitoring data includes PM2.5 concentration, oxygen concentration, carbon dioxide concentration, temperature and humidity; according to the air monitoring data and identification information indicating the degree of influence of negative ion concentration, a feedback network layer is trained; according to the feedback network layer, environmental feedback is performed on the photocatalytic control module, and optimized catalytic control parameters are output.

[0030] Specifically, the air quality monitoring module is a system or device specifically used to detect and collect information related to air quality. Through this module, a series of key data indicators can be obtained in real time or regularly. PM2.5 concentration refers to the content of particles with a diameter less than or equal to 2.5 microns in the air. These fine particles can penetrate deep into the human lungs and cause great harm to health. Therefore, it is one of the important indicators for measuring air quality. Oxygen concentration reflects the level of oxygen content in the air. Under normal circumstances, it should be kept within a certain range, which is essential for maintaining life activities and normal breathing of organisms. Carbon dioxide concentration can reflect the freshness of the air. Excessive carbon dioxide concentration may mean that the air is polluted due to poor ventilation or dense crowds. Temperature and humidity affect people's physical comfort, and also affect some chemical reactions and biological processes, which indirectly affect air quality. Obtaining these air monitoring data including PM2.5 concentration, oxygen concentration, carbon dioxide concentration, temperature and humidity can fully and accurately understand the current air quality status and provide necessary basic information for subsequent analysis, evaluation and control measures.

[0031] When training the feedback network layer, first organize and combine the collected air monitoring data, such as PM2.5 concentration, oxygen concentration, carbon dioxide concentration, temperature, humidity, and identification information that indicates the degree of influence of negative ion concentration, into an input vector. For example, this vector is: [specific PM2.5 value, specific oxygen concentration value, specific carbon dioxide concentration value, specific temperature value, specific humidity value, corresponding identification information value]. The multi-layer perceptron contains an input layer, some hidden layers, and output. Assume that two hidden layers are set here, and each hidden layer has a certain number of neurons. The input layer receives our organized input vector. Then, the values ​​in the input vector are multiplied and summed with the connection weights of the neurons in the first hidden layer, and then processed by an activation function such as ReLU to obtain the output result of the first hidden layer. The output result of the first hidden layer is passed to the second hidden layer in the same way, and is also calculated and processed by the activation function to obtain the output of the second hidden layer. The output of the second hidden layer is finally passed to the output layer, and after corresponding calculation and processing, the predicted result is given. During the training process, the back propagation algorithm will be used. The connection weights between layers are continuously adjusted based on the error caused by the difference between the predicted results and the actual identification information. Through multiple such adjustments, the network gradually learns the complex correspondence between the input air monitoring data and the identification information.

[0032] When the feedback network layer performs environmental feedback to the photocatalytic control module and outputs the optimized catalytic control parameters, the feedback network layer will perform calculations based on the newly input air monitoring data to obtain a predicted value of the degree of influence of the negative ion concentration. After receiving this predicted value, the photocatalytic control module will change the catalytic control parameters according to the pre-set rules and strategies. For example, if the feedback network layer predicts that the degree of influence of the negative ion concentration is relatively large, the photocatalytic control module will increase the intensity of the light source, extend the time of the photocatalytic reaction, or increase the working frequency of the negative ion generator, etc., in order to enhance the effect of air purification; conversely, if the predicted degree of influence of the negative ion concentration is relatively small, the photocatalytic control module may appropriately reduce these parameters to achieve the purpose of saving energy or avoiding excessive processing. In this way, by utilizing the learning and prediction capabilities of the multi-layer perceptron, combined with the response and adjustment of the photocatalytic control module, it is finally possible to optimize the catalytic control parameters according to environmental changes, thereby better improving the air quality.

[0033] In a possible implementation, the negative ion monitoring module 10 further includes: Enter a first user behavior feature; divide the indoor height according to the first user behavior feature to obtain a first height; configure the sensor distribution of the negative ion monitoring module based on the first height, wherein the indoor area greater than the first height is regarded as an indoor high-altitude area, and the indoor area less than the first height is regarded as an indoor low-altitude area.

[0034] Specifically, entering the first user behavior feature refers to obtaining specific information related to adult height. The height of an adult is usually within a relatively fixed range. For example, the average height of adult men in my country is about 170 cm, and the average height of adult women is about 160 cm. But what is entered is not just this average value, but also the distribution range of different adult heights, common activity heights (such as the height that the hand can reach when standing, the height of the head when sitting, etc.), and the typical height range of the body based on different activities (such as walking, working, resting, etc.). The entry of these detailed adult height feature data provides an important basic basis for the subsequent division of indoor height and the distribution configuration of the negative ion monitoring module sensors.

[0035] When dividing the indoor height based on the user behavior characteristics of adults recorded earlier, multiple factors will be taken into consideration. If the recorded characteristics indicate that adults mainly perform standing activities indoors and the height that can be reached by hand is more important, then this hand-reaching height will be used as a reference point for division. Alternatively, if adults often perform activities indoors that require looking up, such as looking at high objects, the division boundary will be determined based on the height of the adult's line of sight when looking up. Alternatively, taking into account the height range of the body of most adults in various common activities such as walking, sitting, working, etc. indoors, take an intermediate value or average value as the basis for division, thereby obtaining the first height. The determination of this first height is to better fit the actual behavior and needs of adults indoors, so as to facilitate more targeted monitoring and control in the future.

[0036] After the first height is determined, the sensor position of the negative ion monitoring module is arranged based on this. For example, the first height is determined to be 1.8 meters. Then, when installing the sensor, a part of the sensors will be arranged at a position higher than 1.8 meters (such as near the ceiling or high on the wall near the ceiling), and the area monitored by these positions is defined as the indoor high altitude area. At the same time, sensors will also be installed at positions lower than 1.8 meters (such as 0.5 meters, 1 meter from the ground, etc.), and the corresponding monitoring range of these positions is the indoor low altitude area. Through such a distribution configuration, relevant data such as the concentration of negative ions in different height areas of the room can be obtained more comprehensively and targetedly. Suppose in a room, the sensor at a high position detects that the concentration of negative ions in the high altitude area is low, while the sensor at a low position detects that the concentration of negative ions in the low altitude area is normal. This means that the air purification equipment needs to adjust the working mode and increase the release of negative ions in the high altitude area to improve the air quality of the entire room.

[0037] In a possible implementation, the negative ion monitoring module 10 further includes: A second user behavior feature is input, wherein the first user behavior feature is different from the second user behavior feature; a feature fusion is performed based on the second user behavior feature and the first user behavior feature, and whether the fused feature is compatible with the first height is determined, wherein a condition for the fused feature to be compatible with the first height is that the height difference is less than a preset threshold; if the fused feature is not compatible with the first height, a third negative ion sensor is set, and the indoor area is divided according to the first negative ion sensor, the second negative ion sensor, and the third negative ion sensor, and the indoor high altitude area, the indoor hollow area, and the indoor low altitude area are re-determined.

[0038] Specifically, the second user behavior characteristics related to children are specially recorded. Since the first user behavior characteristics of adults, for example, have been recorded before, the behavior characteristics of children are significantly different from those of adults. The behavioral characteristics of children include their average height, range of activities, and activity methods (such as crawling, height when playing, etc.). These characteristics are different from the behavioral characteristics of adults such as standing, walking, and working. For example, children are shorter in average height and often move in lower positions. The amplitude and range of their movements when playing are also different from those of adults. By separately recording the behavioral characteristics of children, it provides an important reference basis that is different from that of adults for subsequent more comprehensive and accurate operations such as indoor height division and configuration of negative ion monitoring modules.

[0039] The relevant features of children (second user behavior features) and adults (first user behavior features) are comprehensively considered and integrated. For example, the average height of children, the common activity height range and the corresponding data of adults are combined and analyzed. Then, these fused features are compared with the first height previously determined based only on adult behavior features and their adaptability is judged. The adaptation condition mentioned here is that the height difference is less than the preset threshold. Assuming that the preset threshold is 0.5 meters, if the difference between the reasonable height corresponding to the fused features and the first height is less than 0.5 meters, it is considered to be adapted; if the difference is greater than 0.5 meters, it is considered to be unsuitable. For example, if the first height is 1.8 meters, the fused features indicate that the reasonable division height of children and adults should be 1.3 meters, then the height difference is 0.5 meters, which is just within the preset threshold range and can be considered to be adapted. But if the reasonable height after fusion is 1.0 meters, the height difference is 0.8 meters, which is greater than the preset threshold, it is considered unsuitable.

[0040] If, after judgment, the result of integrating the behavioral characteristics of children and adults does not match the first height previously determined based only on the behavioral characteristics of adults, that is, the height difference exceeds the preset threshold. In this case, a third negative ion sensor will be newly set. Then, based on the data collected by the existing first negative ion sensor, the second negative ion sensor, and the newly set third negative ion sensor, the indoor area is divided more finely. It is no longer simply divided into high-altitude areas and low-altitude areas, but further divided into indoor high-altitude areas, indoor hollow areas, and indoor low-altitude areas. For example, assuming that the first height was originally 1.8 meters, it was divided into high-altitude areas above 1.8 meters and low-altitude areas below 1.8 meters. However, after the fusion characteristics are not compatible, the redivision may be that the high-altitude area is above 2.2 meters, the hollow area is from 1.2 meters to 2.2 meters, and the low-altitude area is below 1.2 meters. Such a redivision can more accurately adapt to the comprehensive behavioral characteristics of children and adults, thereby more effectively monitoring and regulating the air quality of different indoor height areas.

[0041] In a possible implementation, the negative ion monitoring module 10 further includes: When any of the indoor high altitude area, the indoor hollow area and the indoor low altitude area does not meet the preset negative ion concentration index, the negative ion generator is controlled to perform indoor air quality control.

[0042] Specifically, the negative ion concentrations in the three areas of high altitude, middle altitude and low altitude divided into indoor spaces will be continuously monitored, and the negative ion concentration standards that each area should reach are preset, that is, the preset negative ion concentration index. If it is found during the monitoring process that the negative ion concentration in any area, whether it is the high altitude area, the middle altitude area or the low altitude area, does not reach the preset index, then the control measures will be activated to operate the negative ion generator, which includes adjusting the working power, working time, and rate of negative ion release of the negative ion generator, so as to increase the negative ion content in the indoor air, thereby improving the air quality of the area so that it can eventually reach the preset negative ion concentration index. Timely discovery and improvement of negative ion concentrations that do not meet the standards in any area will help to comprehensively improve indoor air quality.

[0043] In a possible implementation, the monitoring data input module 30 further includes: The photocatalyst of the photocatalytic device is titanium dioxide, and the light source is an ultraviolet lamp or an LED lamp.

[0044] Specifically, in this photocatalytic device, the photocatalyst used is titanium dioxide. Titanium dioxide has good photocatalytic properties. When stimulated by light of a specific wavelength, it can produce a series of chemical reactions, which helps to decompose harmful substances in the air and improve air quality. The light source used to stimulate titanium dioxide can be a UV lamp or an LED lamp. The UV lamp can provide strong ultraviolet rays to effectively activate the photocatalytic reaction of titanium dioxide. LED lamps have the advantages of energy saving, long life, high luminous efficiency, etc., and can adapt to different application requirements by adjusting their wavelength and light intensity.

[0045] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0046] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0047] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. The indoor air quality control system based on negative ion monitoring is characterized by: The system comprises: A negative ion monitoring module, wherein the negative ion monitoring module includes a first negative ion sensor and a second negative ion sensor, wherein the first negative ion sensor is used to monitor negative ions in an indoor high altitude area, and the second negative ion sensor is used to monitor negative ions in an indoor low altitude area, input a first user behavior feature, divide the indoor altitude according to the first user behavior feature, obtain a first altitude, and configure the sensor distribution of the negative ion monitoring module based on the first altitude, wherein an indoor area greater than the first altitude is used as an indoor high altitude area, and an indoor area less than the first altitude is used as an indoor low altitude area; A monitoring data acquisition module, the monitoring data acquisition module is used to acquire first monitoring data and second monitoring data corresponding to the first negative ion sensor and the second negative ion sensor respectively according to the negative ion monitoring module; A monitoring data input module, wherein the monitoring data input module is used to input the first monitoring data and the second monitoring data into a photocatalytic control module, wherein the photocatalytic control module is connected to a photocatalytic device, the photocatalytic device includes a photocatalyst and a light source, and the photocatalyst promotes the generation of negative ions under the irradiation of the light source; An air quality control module, wherein the air quality control module is used to output catalytic control parameters according to the light catalytic control module, and perform indoor air quality control according to the catalytic control parameters.

2. The indoor air quality control system based on negative ion monitoring according to claim 1, characterized in that: The air quality control module also include: Wherein, the photocatalytic control module is connected to the negative ion generator; Obtaining a working load rate of the negative ion generator; The workload rate is used as a constraint condition to input the photocatalytic control module, the output catalytic control parameters are optimized, and the optimized catalytic control parameters are output.

3. The indoor air quality control system based on negative ion monitoring according to claim 1, characterized in that: The air quality control module also includes: Obtaining the photocatalyst material of the photocatalytic device; Determining the photocatalytic rate of the photocatalyst material and presetting a negative ion concentration index; The photocatalytic control module takes the preset negative ion concentration index as the target and the photocatalytic rate as the input to quantitatively analyze the first monitoring data and the second monitoring data to obtain catalytic control parameters, which include light source intensity, light source power, photocatalytic reaction time and negative ion generator operating frequency.

4. The indoor air quality control system based on negative ion monitoring according to claim 3, characterized in that: The air quality control module also includes: According to the air quality monitoring module, air monitoring data is obtained, wherein the air monitoring data includes PM2.5 concentration, oxygen concentration, carbon dioxide concentration, temperature and humidity; Training a feedback network layer according to the air monitoring data and identification information identifying the degree of influence of negative ion concentration; Environmental feedback is performed on the photocatalytic control module according to the feedback network layer, and optimized catalytic control parameters are output.

5. The indoor air quality control system based on negative ion monitoring according to claim 1, characterized in that: The negative ion monitoring module also includes: Entering a second user behavior feature, wherein the first user behavior feature is different from the second user behavior feature; Performing feature fusion according to the second user behavior feature and the first user behavior feature, determining whether the fused feature is highly compatible with the first feature, wherein the condition for the fused feature to be highly compatible with the first feature is that the height difference is less than a preset threshold, If the fusion feature is not compatible with the first height, a third negative ion sensor is set, and the indoor area is divided according to the first negative ion sensor, the second negative ion sensor and the third negative ion sensor, and the indoor high altitude area, the indoor hollow area and the indoor low altitude area are re-determined.

6. The indoor air quality control system based on negative ion monitoring according to claim 5, characterized in that: The negative ion monitoring module also includes: When any of the indoor high altitude area, the indoor hollow area and the indoor low altitude area does not meet the preset negative ion concentration index, the negative ion generator is controlled to perform indoor air quality control.

7. The indoor air quality control system based on negative ion monitoring according to claim 1, characterized in that: The photocatalyst of the photocatalytic device is titanium dioxide, and the light source is an ultraviolet lamp or an LED lamp.

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