Control Method and Device for Purification Equipment, and Purification Equipment

Abstract

The present invention provides a control method and device for a purification equipment, and purification equipment. This purification equipment is controlled in accordance with the concentration distribution in an inner space of a particulate substance having different particle diameters. Therefore, it is possible to perform targeted control of the particulate substance having different particle diameters, to increase purification efficiency and speed, and to realize favorable purification effects rapidly and with high efficiency.

Description

Technical Field

[0001] The present invention relates to the field of air purification, and particularly to a control method and device for a purification device and a purification device.

Background Art

[0002] While people's requirements for the quality of life are increasing, air pollution is becoming increasingly serious. Therefore, air purification technology has gradually attracted attention.

[0003] Particulate matter in the atmosphere, as one of the main pollutants in indoor air, affects the health of people indoors. In conventional air purification technologies and air purifier products, only the total number of particulate matter in the room has often been focused on. In ordinary conventional technologies, by detecting the total number and total concentration of particulate matter in the room, the purpose of adjusting the air volume and quickly purifying the indoor air can be achieved.

[0004] In recent years, several conventional technologies for controlling the blowing amount based on various detection data have also emerged.

[0005] In Patent Document 1, an air purifier is disclosed that changes the magnitude of the air volume by the blower unit, the position of the panel, and the area of the ventilation window by detecting the particle diameter of the target in the detection area.

[0006] In Patent Document 2, an air purifier is disclosed that adjusts the blowing angle and air volume until an optimal state is reached by detecting indoor information such as the indoor area, obstacles, and the distance from the wall surface.

[0007] In Patent Document 3, a control system and method for an air purification device are disclosed that identify different operating modes including a wind speed switching mode, a power-on mode, and a power-off mode by comparing the concentration of pollutants in only one hour period with a preset range.

[0008] In Patent Document 4, even when the air pollution concentration is detected and it is determined that the comfortable level of air quality is good, the current air quality situation can be displayed in real time. At the same time, the motor, buzzer, auxiliary function part, and the auxiliary function display part on the air purifier display screen are all in the stopped state. However, when the air quality deteriorates, the operation of the operating member in the air purifier is restarted, thereby improving the simple operating state and stopped state of the current air purifier, and an energy-saving control method for the air purifier is disclosed.

[0009] It should be noted here that the introduction of the above technical background is only for the convenience of providing a clearer and more complete description of the technical solution of the present invention and making it easier for those skilled in the art to understand. Just because those solutions are described in the background art part of the present invention, it should not be recognized that the above technical solutions are known to those skilled in the art.

Summary of the Invention

[0010] However, the inventor found that in the above normal prior art, even if the total amount of particulate matter does not change, the influence of the concentration distribution of particulate matter with different particle sizes on the indoor air quality is extremely important. Therefore, when controlling the air purifier based only on the total concentration of indoor particulate matter, it is impossible to better purify particulate matter with different particle sizes, that is, it is impossible to purify targeted, the purification efficiency is low, and energy conservation cannot be achieved well.

[0011] In addition, in Patent Document 1, the air purifier changes the output of the blower unit based only on the diameter of the particulate matter to be detected output from the pollution detection unit and the diameter of the particulate matter to be detected that has passed through the detection area. The variation in the distribution of particulate matter having different particle sizes in the room is not considered. For example, since the particulate matter in the detection area has been purified, only small-diameter particulate matter exists in the detection area around the purifier, but a large amount of large-diameter particulate matter exists in other areas. In that case, the air volume, the position of the panel, and the area of the ventilation window controlled by the control unit do not match the actual distribution situation of the particulate matter in the room, and a thorough purification effect cannot be obtained.

[0012] In Patent Document 2, the air purifier adjusts the blowing angle by the blower outlet and adjusts the air volume based on the detection information on the room by an external detection device due to the variation of the air guiding device. However, the distribution situation of the particulate matter in the room is not considered. Moreover, in the control of the human avoidance mode, when the air volume remains unchanged, the blower outlet becomes smaller, and the wind speed becomes larger, it will cause discomfort to people, and at the same time, the purification area also becomes smaller.

[0013] In Patent Document 3, it controls the air purification device to be in different modes using the current concentration data of pollutants. However, since the control is performed only based on the current concentration data of pollutants, continuous detection is required, the processing speed is slow, and the energy-saving performance of the device is poor.

[0014] In Patent Document 4, it controls the air purifier by judging the comfortable level of the air quality based on the air pollution concentration detected in real time. However, similarly, continuous detection is required, so the processing speed is slow, and the energy-saving performance of the device is poor.

[0015] To solve at least one of the above problems, embodiments of the present invention provide a control method and apparatus for a purification device, and the purification device. According to the concentration distribution of particulate matter with different particle sizes in the indoor space, the purification device can be controlled, so as to perform targeted control on particulate matter with different particle sizes, improve the purification efficiency and speed, and quickly and efficiently realize a good purification effect. And / or, based on the collected current environmental parameters, predict the concentration distribution of pollutants at a plurality of times after the current time, and control the purification device according to the predicted concentration distribution of pollutants, so as to obtain the concentration distribution situation of future pollutants without continuously performing detection. The processing speed is fast, and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased and the effect is also improved. Therefore, it is possible to perform air purification treatment with high efficiency, speed and energy saving.

[0016] In a first aspect of an embodiment of the present invention, there is provided a control method for a purification device, including the steps of identifying the concentration distribution of particulate matter with different particle sizes in an indoor space, and controlling at least one device parameter of the purification device according to the concentration distribution of particulate matter with different particle sizes in the indoor space.

[0017] In a second aspect of an embodiment of the present invention, there is provided a control method for a purification device, including the steps of obtaining environmental parameters of an indoor space, predicting the concentration distribution of pollutants at a plurality of times after the current time based on the environmental parameters, and controlling at least one device parameter of the purification device according to the concentration distribution of pollutants at a plurality of times after the current time.

[0018] In a third aspect of an embodiment of the present invention, there is provided a control apparatus for a purification device, including an identification unit for identifying the concentration distribution of particulate matter with different particle sizes in an indoor space, and a first control unit for controlling at least one device parameter of the purification device according to the concentration distribution of particulate matter with different particle sizes in the indoor space.

[0019] In a fourth aspect of an embodiment of the present invention, there is provided a control device for a purification device, including an acquisition unit for acquiring environmental parameters of an indoor space, a prediction unit for predicting a concentration distribution of pollutants at a plurality of times after the current time based on the environmental parameters, and a second control unit for controlling at least one device parameter of the purification device according to the concentration distribution of pollutants at a plurality of times after the current time.

[0020] In a fifth aspect of an embodiment of the present invention, there is provided a purification device including the control device for a purification device according to the third or fourth aspect of the embodiment of the present invention for controlling at least one device parameter of the purification device.

[0021] One of the beneficial effects according to the embodiments of the present invention is as follows. Since the purification device is controlled according to the concentration distribution of particulate matter having different particle sizes in the indoor space, targeted control can be performed on particulate matter having different particle sizes, the purification efficiency and speed can be increased, and a good purification effect can be realized quickly and with high efficiency.

[0022] Also, based on the collected current environmental parameters, the concentration distribution of pollutants at a plurality of times after the current time is predicted, and the purification device is controlled according to the predicted concentration distribution of pollutants. Therefore, the concentration distribution situation of future pollutants can be obtained without continuously performing detection. The processing speed is fast, and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased and the effect is also improved. Therefore, it is possible to perform air purification processing with high efficiency, quickly, and in an energy-saving manner.

[0023] For the description and the shown characteristic information of one embodiment, it may be used in one or more other embodiments in the same or similar manner, or may be combined with the characteristics of other embodiments, or may be used instead of the characteristic information of other embodiments.

[0024] It should be emphasized that the term "comprising / including" is used in the present text to indicate the presence of characteristic information, integral members, steps or members, but does not exclude the presence or addition of one or more other characteristic information, integral members, steps or members.

Brief Description of the Drawings

[0025] Referring to the following attached drawings, many aspects of the present invention can be better understood. The members shown in the attached drawings are not drawn to scale and are merely for the purpose of showing the principles of the present invention. For the convenience of expressing and describing some parts of the present invention, the corresponding parts in the attached drawings may be enlarged or reduced. The elements or characteristic information shown in one attached drawing or one embodiment of the present invention can be combined with the elements or characteristic information shown in one or more other attached drawings or embodiments. Also, in the attached drawings, similar reference numerals can indicate corresponding members in several attached drawings and can also indicate the corresponding members used in one or more embodiments.

[0026] In the attached drawings,

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Embodiments for Carrying Out the Invention

[0027] Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

[0028] <Example 1> Embodiment 1 of the present invention provides a control method for a purification device. FIG. 1 is a flowchart of the control method for a purification device in Embodiment 1 of the present invention. As shown in FIG. 1, the method includes the following steps.

[0029] Step 101: Identifying the concentration distribution of particulate matter with different particle sizes in the indoor space, and Step 102: Controlling at least one device parameter of the purification device according to the concentration distribution of the particulate matter with different particle sizes in the indoor space.

[0030] Then, in order to control the purification device according to the concentration distribution of particulate matter having different particle sizes in the indoor space, targeted control for particulate matter having different particle sizes can be performed, the purification efficiency and speed can be increased, and a good purification effect can be realized quickly and efficiently.

[0031] In an embodiment of the present invention, for example, the concentration distribution may refer to a two-dimensional distribution of the distribution of different particle sizes and the distribution of the number of each particle size.

[0032] In an embodiment of the present invention, the purification device may be various types of purification devices. For example, an air purifier, a fresh air device, or an air conditioner with an air purification function may be mentioned.

[0033] In an embodiment of the present invention, the purification device may be for household use, for commercial use, or for public use.

[0034] For example, the purification device may be used in a house environment, in a commercial environment such as an office, an office building, a shopping mall, etc., or in a public environment such as a school.

[0035] In an embodiment of the present invention, the control method of the purification device may be executed by the purification device. For example, it may be executed by a controller of the purification device. In step 101, the concentration distribution of particulate matter having different particle sizes in the indoor space is specified.

[0036] In an embodiment of the present invention, particulate matter having different particle sizes may be roughly divided into, for example, particulate matter having a large particle size and particulate matter having a small particle size.

[0037] Or, particulate matter having different particle sizes may be divided according to a unified standard, such as particulate matter PM10 or particulate matter PM2.5, for example.

[0038] In an embodiment of the present invention, the concentration distribution of particulate matter in the indoor space refers to the concentration distribution of particulate matter at different spatial positions in the room, for example, the concentration distribution at different heights in the room.

[0039] The following specifically describes the implementation method of step 101.

[0040] FIG. 2 is a flowchart of a method for implementing step 101 in Embodiment 1 of the present invention. As shown in FIG. 2, the method includes: Step 201: Obtaining data on the temperature and / or humidity of the indoor space, and Step 202: Identifying, by means of a look-up table, the concentrations of particulate matter having different particle sizes corresponding to the temperature and / or humidity at different heights, and obtaining the concentration distribution of particulate matter having different particle sizes in the indoor space.

[0041] In this way, the concentration distribution of particulate matter having different particle sizes in the indoor space can be easily and quickly obtained by the table reference method.

[0042] In an embodiment of the present invention, the data on the temperature and / or humidity of the indoor space is obtained, for example, by indoor temperature sensors and / or humidity sensors. Regarding the sensors, there may be a plurality of sensors at different positions in the room, or a sensor that can move within the room.

[0043] In an embodiment of the present invention, for example, the look-up table is a pre-created table stored in a database.

[0044] For example, by performing tests in advance under different temperature and / or humidity conditions, the concentrations of particulate matter having different particle sizes at different heights can be obtained, these data can be recorded, and a look-up table can be created.

[0045] FIG. 3 is an exemplary diagram of a look-up table in Example 1 of the present invention. As shown in FIG. 3, as the temperature and humidity increase, the distribution position of particulate matter gradually becomes lower.

[0046] In step 202, by accessing the database and obtaining and collating the look-up table in the database, the concentrations of particulate matter having various particle sizes corresponding to the temperature and / or humidity at different heights are specified.

[0047] For example, in the look-up table, if the altitude is low, the higher the humidity, the greater the concentration of particulate matter having a large particle size corresponding thereto, and the lower the humidity, the greater the concentration of particulate matter having a small particle size corresponding thereto.

[0048] Then, for example, when the humidity increases, the particulate matter having a large particle size tends to sink, and in the distribution specified by the table reference method, the purification directivity is further improved and the purification effect becomes better.

[0049] FIG. 4 is a diagram showing the relationship between the number and concentration distribution of particulate matter in a room in Example 1 of the present invention and ventilation and natural wind. As shown in FIG. 4, even when the temperature and humidity are constant, the distribution of particulate matter is different between the natural ventilation state and the non-ventilation state. In the embodiment of the present invention, it is possible to control the purification device based on this point.

[0050] FIG. 5 is a flowchart of another method for realizing step 101 in Example 1 of the present invention. As shown in FIG. 5, the method includes the following steps.

[0051] Step 501: Obtaining data on the temperature and / or humidity of the indoor space, and Step 502: Inputting the data on the temperature and / or humidity and height information into a first neural network model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space.

[0052] Then, by specifying the concentration distribution of particulate matter having different particle sizes in the indoor space using the first neural network model, its efficiency and accuracy are improved.

[0053] Step 501 is the same as step 201. Here, a specific description will be omitted.

[0054] In step 502, the data of the temperature and / or humidity and the height information are input into the first neural network model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space. The height information is, for example, the height of the room and / or the height of the floor where the purification device is located.

[0055] Then, when specifying the concentration distribution of particulate matter having different particle sizes in the indoor space, altitude elements such as different heights and floor heights in the room are considered. Accordingly, different control strategies are generated, and the purification effect is further improved.

[0056] In an embodiment of the present invention, the first neural network model is a pre-trained model.

[0057] The following will exemplarily describe a method for training the first neural network model.

[0058] FIG. 6 is a flowchart of a method for training the first neural network model in Embodiment 1 of the present invention. As shown in FIG. 6, the method includes the following steps.

[0059] Step 601: Inputting current temperature, humidity, and height parameters, Step 602: Training using a fully connected neural network arranged, and, Step 603: After the training of the model is completed, saving the model.

[0060] FIG. 7 is a schematic diagram during the training of the first neural network in Embodiment 1 of the present invention. As shown in FIG. 7, the first neural network is a fully connected neural network, where the input T represents temperature, RH represents relative humidity, H represents height, and P represents the concentration of particulate matter. That is, by inputting temperature, humidity, and at least one height parameter, the concentration values of particulate matter with different particle sizes predicted through the fully connected network are output.

[0061] After the design of the first neural network model is completed, it is necessary to obtain the optimal value of the model by training the arrangement. That is, the goodness or badness of the model is evaluated by a loss function, and the mean squared error is used as the standard for evaluating the goodness or badness of the model. For example, the loss function is represented by the following formula (1).

[0062] Loss=(p 予測 -p 真実 ) 2 ……(1) Here, Loss represents the loss value, p 予測 represents the concentration value of particulate matter output from the first neural network, and p 真実 represents the true value of the concentration of particulate matter.

[0063] By simply obtaining the inverse derivative, the corresponding correction gradient value, which is the gradient value, can be obtained. By minimizing the LOSS, the corresponding gradient value becomes more accurate. Therefore, when the model is used in the forward direction, the accuracy becomes higher. After the training is completed, the model may be saved.

[0064] FIG. 8 is a flowchart of yet another method for implementing step 101 in Embodiment 1 of the present invention. As shown in FIG. 8, the method includes the following steps.

[0065] Step 801: Obtaining the sensor values for particulate matter with different particle sizes in the room, and Step 802: Fitting the concentration distribution of particulate matter having different particle sizes in the indoor space based on the numerical values of the sensor for particulate matter having different particle sizes in the room.

[0066] By doing so, by fitting the concentration distribution of particulate matter having different particle sizes in the indoor space using the actual detection data from the particulate matter sensor, as a result, a more accurate one can be obtained.

[0067] In an embodiment of the present invention, for example, a plurality of sensors for detecting particulate matter having different particle sizes in the room are used. Further, for example, the plurality of sensors are provided at different heights in the room.

[0068] For example, a plurality of PM2.5 sensors and / or a plurality of PM10 sensors are provided at different heights in the room.

[0069] Also, a plurality of sensors for other different particle sizes such as PM0.5, PM1, PM2, PM3, PM4, and PM5 may be included.

[0070] FIG. 9 is a schematic diagram for fitting the concentration distribution of particulate matter in the room in Example 1 of the present invention. As shown in FIG. 9, for particulate matter having a certain particle size, based on the concentration values of particulate matter at a plurality of positions detected by the sensor, a 3D distribution of the concentration of particulate matter in the room is fitted. Also, for particulate matter having other particle sizes, similar fitting means may be taken.

[0071] As described above, the specification of the concentration distribution of particulate matter having different current particle sizes in the indoor space in Step 101 has been described. In an embodiment of the present invention, the concentration distribution of particulate matter having different future particle sizes in the indoor space may also be predicted.

[0072] FIG. 10 is a flowchart of yet another method for implementing step 101 in Embodiment 1 of the present invention. As shown in FIG. 10, the method includes the following steps.

[0073] Step 1001: Obtaining data on the temperature and / or humidity of the indoor space, and Step 1002: Predicting the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time based on the data on the temperature and / or humidity of the indoor space.

[0074] Correspondingly, in step 102, according to the concentration distribution of particulate matter having different particle sizes in the indoor space at the plurality of times, the control of at least one device parameter is adjusted in real time.

[0075] Then, based on the predicted future concentration distribution of particulate matter having different particle sizes in the indoor space, by adjusting the control of the air purifier in real time, the purification efficiency and the purification effect can be further improved.

[0076] In the embodiments of the present invention, it may be predicted by a neural network or may be predicted by a simulation model.

[0077] For example, the data on the temperature and / or humidity and the height information are input into a second neural network model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time.

[0078] Furthermore, for example, the data on the temperature and / or humidity and the height information are input into a simulation model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time.

[0079] In an embodiment of the present invention, when predicting the concentration distribution of particulate matter having different particle sizes in an indoor space at a plurality of times after the current time, it is possible not only based on temperature and / or humidity data, but also based on the environmental parameters of the indoor space.

[0080] FIG. 11 is a flowchart of yet another method for implementing step 101 in Embodiment 1 of the present invention. As shown in FIG. 11, the method includes the following steps.

[0081] Step 1101: Obtaining the environmental parameters of the indoor space, and Step 1102: Predicting the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time based on the environmental parameters.

[0082] In an embodiment of the present invention, an indoor floor plan of the house may be obtained. Then, based on the environmental parameters and the indoor floor plan, the concentration distribution of pollutants at a plurality of times after the current time can be predicted.

[0083] Thereby, by combining the indoor floor plan of the house to predict the concentration distribution of pollutants, the purification efficiency and the purification effect can be further improved.

[0084] For example, the indoor floor plan of the house may include at least one element among the floor plan, furniture arrangement, orientation, and geographical location.

[0085] For example, the indoor floor plan of the house may be obtained based on a building information model and / or an indoor image taken by a camera.

[0086] In step 1101, the environmental parameters of the indoor space are obtained.

[0087] In an embodiment of the present invention, for example, the environmental parameters may include at least one of temperature, humidity, concentration of particulate matter having different particle sizes, VOC concentration, formaldehyde concentration, odor concentration, and carbon dioxide concentration.

[0088] In an embodiment of the present invention, the environmental parameters may be obtained by a plurality of sensors arranged at different positions in the room or at least one sensor movable in the room.

[0089] For example, the environmental parameters include at least one environmental parameter sequence of environmental parameters at a plurality of consecutive times at at least one position point in the room.

[0090] Correspondingly, in step 1102, the at least one environmental parameter sequence may be input into a third neural network model or a simulation model, and the concentration distribution of pollutants at a plurality of times after the current time may be output.

[0091] In an embodiment of the present invention, the environmental parameters may include a plurality of environmental parameters at different heights in the room. Then, the accuracy of prediction can be further improved, and furthermore, the purification efficiency and effect can be further improved.

[0092] In an embodiment of the present invention, when predicting the concentration distribution of pollutants, the more the number of position points that are the sources of the environmental parameters on which it depends, the higher the accuracy of the prediction.

[0093] For example, the environmental parameters include four environmental parameter sequences of environmental parameters at four position points in the room at eight consecutive times, and in step 1102, the four environmental parameter sequences are input into the third neural network model or the simulation model as four channels, and the concentration distribution of pollutants at a plurality of times after the current time is output.

[0094] Then, at the four position points, it is possible to almost completely cover the detection of environmental parameters distributed throughout the room. The four position points can divide the indoor space into four equal parts. Since each of these four parts has one reference data, the accuracy is ensured while suppressing the occurrence of costs.

[0095] For example, the third neural network model is a deep neural network including a long short-term memory (LSTM) structure or a gated recurrent unit (GRU) structure.

[0096] Furthermore, for example, the simulation model is a computational fluid dynamics (CFD) simulation model. When predicting the concentration distribution of particulate matter with different particle sizes in the indoor space in the future by a neural network, it is also possible to predict by combining indoor environmental equipment and user behavior based on data from particulate matter sensors.

[0097] For example, input at least one environmental parameter sequence, the state of indoor environmental equipment, and / or user behavior into the third neural network model to obtain the concentration distribution of particulate matter with different particle sizes in the indoor space at multiple times after the current time.

[0098] For example, the at least one environmental parameter sequence includes a plurality of particulate matter data sequences at different positions in the room.

[0099] In an embodiment of the present invention, the third neural network model may be a deep neural network including a long short-term memory (LSTM) structure or a gated recurrent unit (GRU) structure that has been trained.

[0100] In an embodiment of the present invention, the indoor environmental device includes, for example, an air conditioner, a humidifier, a cleaning robot, and a fresh air device, etc., and the user behavior includes, for example, behaviors such as smoking, opening a window, and cooking rice.

[0101] FIG. 12 is a schematic diagram for predicting the concentration distribution in Embodiment 1 of the present invention. As shown in FIG. 12, a plurality of particulate matter data sequences at different positions in the room, the state of the indoor environmental device, and the user behavior are input into a third neural network model, and the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time is obtained.

[0102] In this way, the adjustment accuracy for the device parameters of the purifier can be further improved, and the purification efficiency and purification effect are also further improved.

[0103] In an embodiment of the present invention, the simulation model is, for example, a computational fluid dynamics (CFD) simulation model.

[0104] In an embodiment of the present invention, the concentration distribution of particulate matter may be specified by combining the indoor house layout diagram.

[0105] FIG. 13 is a flowchart of still another method for realizing step 101 in Embodiment 1 of the present invention. As shown in FIG. 13, the method includes the following steps.

[0106] Step 1301: Obtaining the indoor house layout diagram, and Step 1302: Specifying the concentration distribution of particulate matter with different particle sizes in the indoor space while combining the house layout diagram.

[0107] In this way, by predicting the concentration distribution of particulate matter by combining the indoor house layout diagram, the purification efficiency and purification effect can be further improved.

[0108] For example, when there are many floating particles behind a sofa or a TV, by performing targeted control and purification, the purification effect can be made optimal in the room.

[0109] In an embodiment of the present invention, an indoor layout diagram may be obtained based on a BIM model and / or an indoor image captured by a camera. For example, the indoor layout diagram may include elements such as floor plan, furniture arrangement, orientation, and geographical location.

[0110] In an embodiment of the present invention, in addition to controlling the purification device according to the concentration distribution of particulate matter in pollutants, the purification device may also be controlled according to the concentration distribution of other pollutants in the indoor space.

[0111] As shown in FIG. 1, the method may further include the following steps.

[0112] Step 103: Identifying the concentration distribution of other pollutants other than particulate matter in the indoor space, and Step 104: Controlling at least one device parameter of the purification device according to the concentration distribution of the other pollutants in the indoor space.

[0113] In Embodiment 1 of the present invention, Steps 103-104 and Steps 101-103 may be executed sequentially or in parallel. Also, Step 102 and Step 104 may be combined and executed. That is, at least one device parameter of the purification device may be controlled according to the concentration distribution of particulate matter with different particle sizes in the indoor space and the concentration distribution of other pollutants in the indoor space.

[0114] For example, other pollutants may include pollutants such as odors, formaldehyde, VOCs, and dust.

[0115] Then, not only can the purification device be controlled according to the concentration distribution of particulate matter, but also the purification device may be controlled according to the concentration distribution of other pollutants in the indoor space. Thereby, the purification device can purify the air comprehensively and efficiently, and the device performance and user experience are further improved.

[0116] In step 102 or step 104, at least one device parameter of the purification device is controlled.

[0117] The device parameter may be various parameters related to the air purification process. For example, the device parameter may be at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the suction port, or at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the air outlet, or the magnitude of the wind force, or the operation mode.

[0118] For example, in step 102, the suction port and the air outlet of the purification device are controlled according to the concentration distribution of particulate matter having different particle sizes in the indoor space.

[0119] Then, by performing two-way control on the suction port and the air outlet according to the concentration distribution of particulate matter having different particle sizes in the indoor space, the purification efficiency and the purification effect can be further improved.

[0120] In an embodiment of the present invention, the purification device may be provided with an environmental sensor for sensing obstacles in the environment.

[0121] As shown in FIG. 1, the method may further include the following steps.

[0122] Step 105: Controlling at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the suction port and the air outlet based on the result of detecting obstacles around the purification device.

[0123] Then, when an obstacle around the purification device is detected, the parameters of the suction port and the blowout port can be timely controlled, ensuring the purification effect and improving the energy-saving performance of the device.

[0124] FIG. 14 is a diagram showing some examples of controlling the suction port and the blowout port according to an obstacle in Embodiment 1 of the present invention. As shown in FIG. 14, when the cross-section of the air purifier has a three-sided structure, from the detection result with respect to the surrounding wall surface, the suction port and the blowout port on one side are closed, or the suction port and the blowout port on both sides are closed. When the cross-section of the air purifier has a circular structure, from the detection result with respect to the surrounding wall surface, the angle range of 90 to 180° at the suction port and the blowout port is closed. When the cross-section of the air purifier has a four-sided structure, from the detection result with respect to the surrounding wall surface, the suction port and the blowout port on one side are closed, or the suction port and the blowout port on both sides are closed, or without closing the suction port and the blowout port, that is, the suction port and the blowout port are fully opened.

[0125] The following specifically describes controlling the suction port and the blowout port of the purification device according to the concentration distribution of particulate matter having different particle sizes in the indoor space.

[0126] FIG. 15 is a flowchart of a method for realizing step 102 in Embodiment 1 of the present invention. As shown in FIG. 15, the method includes the following steps.

[0127] Step 1501: Controlling the opening range of the suction port and the blowout port according to the concentration distribution of particulate matter having different particle sizes in the indoor space, and Step 1502: After the operation of the purification device continues for one hour, changing the opening range of the suction port and the blowout port from the detection result or prediction result for particulate matter having different particle sizes.

[0128] Then, after the operation based on the release range of the concentration distribution of particulate matter continued for one hour, by changing the release ranges of the suction port and the blowout port based on the detection result or the prediction result, according to the control of the suction port and the blowout port, it is always possible to ensure the optimization of the purification efficiency and the purification effect, and the performance of the device is further improved.

[0129] For example, when the concentration of particulate matter with a large particle size is high in a low-altitude area indoors, control the release ranges of the suction port and the blowout port within the low-altitude area, increase the wind force, and after the operation of the purification device continues for one hour, gradually increase the release ranges of the suction port and the blowout port in terms of altitude based on the detection result or the prediction result for the particulate matter.

[0130] For example, when the humidity is high, most of the particulate matter with a large particle size is deposited downward. Then, control the release ranges of the suction port and the blowout port within the low-altitude area, increase the wind force, and after the internal circulation operation continues for one hour downward, gradually increase the release ranges of the suction port and the blowout port from bottom to top based on the detection result or the prediction result. Then, high purification efficiency and good purification effect can be obtained.

[0131] Furthermore, for example, when the concentration of particulate matter with a large particle size is low in a low-altitude area indoors, control the release ranges of the suction port and the blowout port to the maximum range in terms of altitude, and after the operation of the purification device continues for one hour, gradually decrease the release ranges of the suction port and the blowout port in terms of altitude based on the detection result or the prediction result for the particulate matter.

[0132] For example, when the humidity is low, the particulate matter with a large particle size does not sink indoors. Control the release ranges of the suction port and the blowout port to the maximum range in terms of altitude, and after the operation throughout the room continues for one hour, further gradually decrease the release ranges of the suction port and the blowout port in terms of altitude, and perform the purification for the particulate matter in order, so that high purification efficiency and good purification effect can be obtained.

[0133] In an embodiment of the present invention, in this method, When the noise of the purification device is greater than a preset threshold, the step of activating the noise removal module may further be included.

[0134] For example, when activated, the noise removal module plays music or plays sounds that promote sleep or rest, such as white noise.

[0135] Then, when the noise increases due to the purification process by the purification device, the atmosphere can be softened by playing music or sounds, improving the user experience.

[0136] In addition, an embodiment of the present invention further provides a control method for a purification device, and the control method includes the following steps.

[0137] Step S1: Obtaining current humidity and temperature data, Step S2: The memory module checks based on a lookup table of the content of particulate matter having different particle sizes at different temperatures and humidities corresponding to different heights, Step S3: Judging the current distribution state of particulate matter from the results of the check by the lookup table, Step S4: Outputting the corresponding control ranges of the areas, numbers, and wind forces of the suction ports and blowout ports according to the current distribution state of particulate matter, Step S5: Controlling the operating state of the purification device according to the control ranges of the areas, numbers, and wind forces of the suction ports and blowout ports, Step S6: After the internal circulation operation continues for one hour at the bottom of the indoor space, outputting a control command to sequentially increase or decrease the area of the blowout port according to the distribution state of particulate matter at different times when simulation is performed, and Step S7: Controlling the area of the blowout port of the purification device to sequentially increase or decrease by sequentially increasing or decreasing the area of the blowout port.

[0138] As can be seen from the above embodiments, for example, in order to control the purification device according to the concentration distribution of particulate matter having different particle sizes in the indoor space corresponding to different temperatures and humidities, targeted control for particulate matter having different particle sizes can be performed, the purification efficiency and speed can be increased, and a good purification effect can be realized quickly and with high efficiency.

[0139] In addition, based on the collected current environmental parameters, the concentration distribution of pollutants at a plurality of times after the current time is predicted, and in order to control the purification device according to the predicted concentration distribution of pollutants, the concentration distribution situation of future pollutants can be obtained without continuously performing detection. The processing speed is fast and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased and the effect is also improved. Therefore, it is possible to perform air purification treatment with high efficiency, quickly and energy-saving.

[0140] <Example 2> Example 2 of the present invention provides a method for controlling a purification device. FIG. 16 is a flowchart of the method for controlling a purification device in Example 2 of the present invention. As shown in FIG. 16, the method includes the following steps.

[0141] Step 1601: Obtaining the environmental parameters of the indoor space, Step 1602: Predicting the concentration distribution of pollutants at a plurality of times after the current time based on the environmental parameters, and Step 1603: Controlling at least one device parameter of the purification device according to the concentration distribution of pollutants at a plurality of times after the current time.

[0142] Then, based on the collected current environmental parameters, the concentration distribution of pollutants at multiple times after the current time is predicted, and the purification device is controlled according to the predicted concentration distribution of pollutants. Therefore, the concentration distribution situation of future pollutants can be obtained without continuously performing detection. The processing speed is fast, and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased, and the effect is also improved. Therefore, it is possible to perform air purification treatment with high efficiency, quickly, and energy-savingly.

[0143] In an embodiment of the present invention, the purification device may be various types of purification devices. For example, an air purifier, a fresh air device, or an air conditioner with an air purification function may be mentioned.

[0144] In an embodiment of the present invention, the purification device may be for household use, commercial use, or public use.

[0145] For example, the purification device may be used in a house environment, a commercial environment such as an office, an office building, a shopping mall, or a public environment such as a school.

[0146] In an embodiment of the present invention, the control method of the purification device may be executed by the purification device. For example, it may be executed by a controller of the purification device.

[0147] In an embodiment of the present invention, an indoor layout diagram of a house may be obtained. Then, based on the environmental parameters and the indoor layout diagram of the house, the concentration distribution of pollutants at multiple times after the current time can be predicted.

[0148] Thereby, by predicting the concentration distribution of pollutants in combination with the indoor layout diagram of the house, the purification efficiency and the purification effect can be further improved.

[0149] For example, the indoor layout diagram may include at least one element among the floor plan, furniture arrangement, orientation, and geographical location.

[0150] For example, the indoor layout diagram may be obtained based on a building information model and / or an indoor image captured by a camera.

[0151] In step 1601, environmental parameters of the indoor space are acquired.

[0152] In an embodiment of the present invention, for example, the environmental parameters may include at least one of temperature, humidity, concentration of particulate matter having different particle sizes, VOC concentration, formaldehyde concentration, odor concentration, and carbon dioxide concentration.

[0153] In an embodiment of the present invention, for example, the concentration distribution of the pollutants includes at least one of the concentration distribution of particulate matter having different particle sizes in the indoor space, the concentration distribution of VOC in the indoor space, the concentration distribution of formaldehyde in the indoor space, the concentration distribution of odor in the indoor space, and the concentration distribution of carbon dioxide in the indoor space.

[0154] In an embodiment of the present invention, the environmental parameters may be obtained by a plurality of sensors arranged at different positions indoors or at least one sensor movable indoors.

[0155] For example, the environmental parameters include at least one environmental parameter sequence of environmental parameters at a plurality of consecutive times at at least one position point indoors.

[0156] Correspondingly, in step 1602, the at least one environmental parameter sequence may be input into a simulation model to output the concentration distribution of pollutants at a plurality of times after the current time.

[0157] In an embodiment of the present invention, the environmental parameters may include a plurality of environmental parameters at different heights indoors. By doing so, the accuracy of prediction can be further improved, and furthermore, the purification efficiency and effect can be further improved.

[0158] In an embodiment of the present invention, when predicting the concentration distribution of pollutants, the more the number of position points that are the sources of the environmental parameters on which it depends, the higher the accuracy of the prediction.

[0159] For example, the environmental parameters include four environmental parameter sequences of environmental parameters at four position points indoors at eight consecutive times. In step 102, the four environmental parameter sequences are input into the simulation model as four channels, and the concentration distribution of pollutants at a plurality of times after the current time is output.

[0160] By doing so, the detection of environmental parameters distributed throughout the room can be almost completely covered at the four position points. The indoor space can be evenly divided into four parts by the four position points. Since each of these four parts has one reference data, the accuracy is ensured and the cost is also suppressed.

[0161] In an embodiment of the present invention, the prediction model may be a deep neural network model or a simulation model.

[0162] For example, the simulation model is a deep neural network including a long short-term memory (LSTM) structure or a gated recurrent unit (GRU) structure.

[0163] Furthermore, for example, the simulation model is a computational fluid dynamics (CFD) simulation model.

[0164] The following will exemplarily describe the training process of a deep neural network as a prediction model.

[0165] Figure 17 is a flowchart of a method for training a prediction model in Embodiment 2 of the present invention. As shown in Figure 17, the method includes the following steps.

[0166] Step 1701: Obtain the inputs of the corresponding four CHANNELs at four position points, where the input of each CHANNEL is environmental parameter data at eight consecutive time points, Step 1702: Each CHANNEL respectively passes through a long short-term memory (LSTM) neural network or a gated recurrent unit (GRU) neural network to calculate the value of one extracted feature, and Step 1703: Superimpose each CHANNEL obtained in Step 202 unit by unit. After superimposition, the outputs of the four units with future information, that is, the time feature layer, are obtained.

[0167] In an embodiment of the present invention, the output as the time feature layer may be used to specify a control command by a future purification device.

[0168] Figure 18 is a schematic diagram of the input data of the four CHANNELs obtained in Step 1701 in Embodiment 2 of the present invention. Figure 19 is a schematic diagram of each CHANNEL in Step 1702 in Embodiment 2 of the present invention passing through a long short-term memory (LSTM) neural network respectively.

[0169] As shown in Figure 18, the input of one CHANNEL is particulate matter data with different particle sizes at eight consecutive time points. In this example, the eight consecutive time points are at one-hour intervals, but those with other time intervals may also be used. In an embodiment of the present invention, it is not limited thereto.

[0170] As shown in FIG. 19, each time point of each CHANNEL is sequentially input into an LSTM or GRU neural network layer. For example, the data at time 8:00 is input into the network layer with T = 0, and the data at time 9:00 is input into the network layer with T = 1. Here, T = 0 and T = 1 are just indications at different times in the same network layer. In this way, the neural network can learn the relationships between different sequences and acquire the ability to predict future data.

[0171] In the embodiments of the present invention, the prediction model becomes increasingly optimized by being repeated, the accuracy of the predicted concentration distribution of pollutants also increases, and the corresponding control commands also become more precise. By saving the trained prediction model and directly using it in subsequent stages, the accurate concentration distribution of pollution sources at multiple future times can be directly obtained. For example, by pre-judging the sizes of the suction port and the blowing port according to the concentration distribution of pollutants at multiple future times, the purification efficiency can be increased, and it is not necessary to repeatedly detect the concentration distribution of pollutants. By adjusting and controlling according to the actual situation until thorough purification is achieved, the energy-saving performance is also improved.

[0172] In the embodiments of the present invention, it is also possible to make predictions by combining indoor environmental equipment and user behavior.

[0173] For example, in step 1602, the at least one environmental parameter sequence, the state of the indoor environmental equipment, and / or user behavior are input into the prediction model, and the concentration distribution of pollutants at multiple times after the current time is output.

[0174] In this way, the adjustment accuracy for the purification equipment can be further improved, and the purification efficiency and purification effect are also further enhanced.

[0175] In an embodiment of the present invention, the indoor environmental equipment includes, for example, an air conditioner, a humidifier, a cleaning robot, and a fresh air equipment, etc., and the user actions include, for example, actions such as smoking, opening a window, and cooking rice, etc.

[0176] FIG. 20 is a schematic diagram for predicting the concentration distribution in Embodiment 2 of the present invention. As shown in FIG. 20, at least one environmental parameter sequence, the state of the indoor environmental equipment, and the user actions are input into the prediction model to obtain the concentration distribution of pollutants at a plurality of times after the current time.

[0177] In an embodiment of the present invention, the equipment parameters may be various parameters related to air purification treatment. For example, the equipment parameters are at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the suction port, or at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the air outlet, or the magnitude of the wind force, or the operation mode.

[0178] For example, in step 1602, the suction port and the air outlet of the purification equipment are controlled according to the predicted concentration distribution of pollutants.

[0179] In this way, according to the predicted concentration distribution of pollutants, by performing two-way control on the suction port and the air outlet, the purification efficiency and the purification effect can be further improved.

[0180] In an embodiment of the present invention, further, according to the predicted concentration distribution of pollutants, the number of pollutants at a plurality of times after the current time is specified, and the purification equipment may be controlled based on the number of pollutants.

[0181] FIG. 21 is another flowchart of the control method of the purification equipment in Embodiment 2 of the present invention. As shown in FIG. 21, the control method includes the following steps.

[0182] Step 2101: Obtaining the environmental parameters of the indoor space Step 2102: Predicting the concentration distribution of pollutants at a plurality of times after the current time based on the environmental parameters, and, Step 2103: Identifying the number of pollutants at a plurality of times after the current time according to the concentration distribution of pollutants at the plurality of times after the current time, and, Step 2104: Controlling at least one device parameter of the purification device based on the number of pollutants at the plurality of times after the current time.

[0183] Then, the number of pollutants identified according to the concentration distribution of pollutants can be accurate and can also reflect the distribution characteristics. By controlling the purification device based on the number of the pollutants, the purification efficiency and the purification effect can be further improved.

[0184] For example, after obtaining the concentration distribution of particulate matter having different particle sizes in the future, the number of particulate matter having different particle sizes can be calculated, and based on the number, the accuracy and the number of the lifting and lowering of the suction port can be further controlled. When the particulate matter having a large particle size is at the bottom in the entire indoor space, by increasing the number and the height of the suction ports, the suction of the particulate matter can be accelerated, and rapid purification can be achieved.

[0185] In an embodiment of the present invention, for example, the number of pollutants can be obtained by multiplying the concentration of pollutants by the volume.

[0186] Also, the number of pollutants can be actually detected to create a look-up table, and according to the predicted concentration distribution of pollutants, the number of future pollutants can be obtained by the table reference method.

[0187] In an embodiment of the present invention, the purification device may be provided with an environmental sensor for sensing obstacles in the environment.

[0188] As shown in FIG. 16, the method may further include the following steps.

[0189] Step 1604: Controlling at least one of the opening / closing frequency, opening / closing range, and opening / closing angle of the suction port and the blowout port based on the result of detecting obstacles around the purification device.

[0190] By doing so, when an obstacle around the purification device is detected, the parameters of the suction port and the blowout port can be timely controlled, ensuring the purification effect and improving the energy-saving performance of the device.

[0191] Similar to the case of FIG. 14, as shown in FIG. 14, when the cross-section of the air purifier has a three-sided structure, based on the result of detecting the surrounding wall surface, the suction port and the blowout port on one side are closed, or the suction ports and the blowout ports on both sides are closed. When the cross-section of the air purifier has a circular structure, based on the result of detecting the surrounding wall surface, the angle range of 90° to 180° at the suction port and the blowout port is closed. When the cross-section of the air purifier has a four-sided structure, based on the result of detecting the surrounding wall surface, the suction port and the blowout port on one side are closed, or the suction ports and the blowout ports on both sides are closed, or without closing the suction port and the blowout port, that is, fully opening the suction port and the blowout port.

[0192] In the embodiment of the present invention, the device parameters may be various parameters related to air purification treatment. For example, the device parameters may be at least one of the opening / closing frequency, opening / closing range, and opening / closing angle of the suction port, or at least one of the opening / closing frequency, opening / closing range, and opening / closing angle of the blowout port, or the magnitude of the wind force, or the operation mode.

[0193] The following specifically describes controlling the suction port and the blowout port of the purification device according to the predicted concentration distribution of pollutants.

[0194] For example, in step 1603, when it is determined that the concentration distribution of pollutants at a plurality of times after the current time indicates that the pollutants tend to increase or decrease, the opening / closing frequency, opening / closing range, or opening / closing angle of the suction port and the blowout port is controlled to increase or decrease accordingly.

[0195] Furthermore, for example, in step 2104, when it is determined that the number of pollutants at a plurality of times after the current time indicates that the pollutants tend to increase or decrease, the opening / closing frequency, opening / closing range, or opening / closing angle of the suction port and the blowout port is controlled to increase or decrease accordingly.

[0196] In this way, based on the concentration distribution of pollutants or the number of pollutants at different future times, after a preliminary judgment by a control command, the area, number, and wind force control range of the suction port and the blowout port of the purification device are correspondingly generated, so that the purification effect can be optimized. In addition, re-detection and re-installation can be avoided, and further energy saving can be achieved.

[0197] In addition, in the embodiments of the present invention, not only two-way control of the suction port and the blowout port is used, but multi-way control may also be used.

[0198] In the embodiments of the present invention, in step 1603, at least one control strategy and the time required for the implementation of the control strategy by the purification device may be determined.

[0199] When a plurality of control strategies are determined, the times required for the plurality of control strategies may be different. For example, the plurality of control strategies correspond to different sizes of the suction port and the blowout port and different air volumes.

[0200] For example, one control strategy may be selected, or the control strategy with the shortest required time may be automatically selected, or it may be selected by the user.

[0201] FIG. 22 is a flowchart of a method for implementing step 1603 in Embodiment 2 of the present invention. As shown in FIG. 22, the method includes the following steps.

[0202] Step 2201: According to the concentration distribution of pollutants at a plurality of times after the current time, identify at least one control strategy and the time required to implement the control strategy by the purification device. Step 2202: Identify at least one control strategy and provide it to the user, and Step 2203: Control the purification device according to the control strategy selected by the user.

[0203] Then, it is possible to further improve the user experience.

[0204] FIG. 23 is a flowchart of another method for implementing step 1603 in Embodiment 2 of the present invention. As shown in FIG. 23, the method includes the following steps.

[0205] Step 2301: According to the concentration distribution of pollutants at a plurality of times after the current time, identify at least one control strategy and the time required to implement the control strategy by the purification device. Step 2302: Automatically select the control strategy with the shortest required time from at least one control strategy, and Step 2303: Control the purification device according to the automatically selected control strategy. In the embodiment of the present invention, in the method, When the noise of the purification device is greater than a preset threshold, the step of starting the noise removal module may further be included.

[0206] For example, when the noise removal module is started, it broadcasts music or broadcasts sounds that promote sleep or rest.

[0207] Then, when the noise increases due to the purification process by the purification device, the atmosphere can be softened by broadcasting music, and the user experience is improved.

[0208] In addition, an embodiment of the present invention further discloses a control method for a purification device. FIG. 24 is another flowchart of the control method for the purification device in Embodiment 2 of the present invention. As shown in FIG. 24, the control method includes the following steps.

[0209] Step 2401: Obtain historical data of the concentration distribution of pollutants. Step 2402: Input the historical data of the concentration distribution of pollutants into a prediction model based on an LSTM unit, and output the concentration distribution of the pollution source at different future times. Step 2403: Calculate the number of pollutants at different future times. Step 2404: Output a control command to sequentially increase or decrease the area of the air outlet, and Step 2405: Control the area of the air outlet to sequentially increase or decrease according to the control command.

[0210] As can be seen from the above embodiments, based on the collected current environmental parameters, the concentration distribution of pollutants at multiple times after the current time is predicted, and the purification device is controlled according to the predicted concentration distribution of pollutants. Therefore, the concentration distribution situation of future pollutants can be obtained without continuously performing detection. The processing speed is fast, and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased, and the effect is also improved. Therefore, it is possible to perform air purification treatment with high efficiency, quickly, and energy-saving.

[0211] <Example 3> Embodiment 3 of the present invention provides a control device for a purification device corresponding to the control method for the purification device described in Embodiment 1. For its specific implementation, reference may be made to the implementation of the method described in Embodiment 1, and for the same or related content, the description is omitted.

[0212] FIG. 25 is a schematic diagram of the control device for the purification device in Embodiment 3 of the present invention. As shown in FIG. 25, the control device 2500 for the purification device is A specifying unit 2501 for specifying the concentration distribution of particulate matter having different particle sizes in an indoor space, and a first control unit 2502 for controlling at least one device parameter of a purification device according to the concentration distribution of the particulate matter having different particle sizes in the indoor space.

[0213] In an embodiment of the present invention, for the realization of the functions of the above means, reference may be made to the content of the related steps in Embodiment 1. Here, the description is omitted.

[0214] In an embodiment of the present invention, the control device 2500 of the purification device may be provided in the purification device or may be an independent device.

[0215] In addition, the control device 2500 of the purification device may include other control functions such as, for example, the correctness of a power switch and timing control, in addition to the control functions described in the embodiments of the present invention.

[0216] As can be seen from the above embodiments, in order to control the purification device according to the concentration distribution of particulate matter having different particle sizes in the indoor space, targeted control for particulate matter having different particle sizes can be performed, the purification efficiency and speed can be increased, and a good purification effect can be realized quickly and efficiently.

[0217] <Example 4> Embodiment 4 of the present invention provides a control device for a purification device corresponding to the control method of the purification device described in Embodiment 2. For its specific implementation, reference may be made to the implementation of the method described in Embodiment 2, and the description is omitted for the same or related content.

[0218] FIG. 26 is a schematic diagram of a control device for a purification device in Embodiment 4 of the present invention. As shown in FIG. 26, the control device 2600 of the purification device includes an acquisition unit 2601 for acquiring environmental parameters of an indoor space, A prediction unit 2602 for predicting the concentration distribution of pollutants at a plurality of times after the current time based on the environmental parameters, and a second control unit 2603 for controlling at least one device parameter of the purification device according to the concentration distribution of pollutants at a plurality of times after the current time.

[0219] In the embodiments of the present invention, for the realization of the functions of the above means, reference may be made to the content of the related steps in Embodiment 1. The description is omitted here.

[0220] In the embodiments of the present invention, the control device 2600 of the purification device may be provided in the purification device or may be an independent device.

[0221] In addition, the control device 2600 of the purification device may include other control functions, such as the correctness of the power switch and the control of timing, in addition to the control functions described in the embodiments of the present invention.

[0222] As can be seen from the above embodiments, based on the collected current environmental parameters, the concentration distribution of pollutants at a plurality of times after the current time is predicted, and the purification device is controlled according to the predicted concentration distribution of pollutants. Therefore, the concentration distribution situation of future pollutants can be obtained without continuously performing detection. The processing speed is fast, and the energy-saving performance of the device is improved. In addition, by controlling the purification device according to the future concentration distribution, the purification efficiency is increased and the effect is also improved. Therefore, it is possible to perform air purification treatment with high efficiency, speed, and energy saving.

[0223] <Example 5> Embodiment 5 of the present invention provides a purification device including the control device of the purification device described in Embodiment 3 or Embodiment 4. For the specific implementation, reference may be made to the implementation of the device described in Embodiment 3 or Embodiment 4 or the method described in Embodiment 1 or Embodiment 2. For the same or related content, the description is omitted.

[0224] In an embodiment of the present invention, for example, the control device of the purification device described in Embodiment 3 or Embodiment 4 is a controller provided in the purification device, or the control device is integrated with the controller of the purification device.

[0225] Figure 27 is a structural diagram of a purification device according to Embodiment 5 of the present invention. As shown in Figure 27, the purification device 2700 includes a control device (not shown in Figure 27), an outer casing 2710 provided with suction ports 2711 and 2712 at the lower end and the bottom at the peripheral side edge, and an inner casing 2720 provided with air outlets 2721 and 2722 at the peripheral side edge and the upper side. The inner casing 2710 is fitted into the outer casing 2720 and is vertically adjusted by vertical adjustment means (not shown in Figure 27). filter body means 2730 provided in the inner casing 2720, and a blower (not shown in Figure 27) provided in the inner casing or the outer casing. A first air guide plate is provided at the suction port, and a second air guide plate is provided at the air outlet. The control device controls at least one of the suction port, the air outlet, the vertical adjustment means, the first air guide plate, and the second air guide plate according to a control command.

[0226] Also, as shown in Figure 27, a suction port 2723 is further provided at the bottom of the inner casing 2720.

[0227] In an embodiment of the present invention, the first air guide plate is provided in the inner casing 2720. The first air guide plate is provided at the peripheral side edge of the inner casing, is orthogonal to the upper side edge of the inner casing, and is distributed in a rotational manner.

[0228] Figure 28 is a schematic diagram of multiple states of the first air guide plate in Example 5 of the present invention. As shown in Figure 28(A), when the suction port 2711 is closed, the first air guide plate 2713 closes. As shown in Figure 28(B), when it is detected that there are obstacles around the purification device, the first air guide plates 2713 on the four surfaces open in the same direction in a rotating manner. As shown in Figure 28(C), when there are obstacles around a part of the suction port 2711, the first air guide plate 2713 corresponding to the position with the obstacle is closed, and the remaining first air guide plates 2713 open in the same direction in a rotating manner.

[0229] In this way, since the first air guide plate is installed in a rotatable manner, the suction effect becomes better, and it will be sucked in a rotating manner. By being sucked according to the rotation direction of the blower, the efficiency of the blower is increased. Also, it is possible for the air in the indoor space to be in a dynamically rotating state.

[0230] Also, the first air guide plates on each surface may be controlled individually.

[0231] In an embodiment of the present invention, the second air guide plate includes an air guide door, the size of the air guide door matches the air outlet, and the air guide door may control the opening area of the air outlet according to a control command from a control device.

[0232] In an embodiment of the present invention, a third air guide plate that can be lifted may be provided at the upper air outlet 2722 of the interior case 2720. Figure 29 is a schematic diagram of two states of the third air guide plate in Example 5 of the present invention. As shown in Figure 29(A) and (B), by adjusting the lifting of the third air guide plate 2724, the angle and opening area of the third air guide plate can be changed, and the blowing efficiency and purification efficiency can be increased.

[0233] As shown in Figure 27, the filter body means 2730 includes a first filter screen, a second filter screen, and a third filter screen. The first filter screen, the second filter screen, and the third filter screen are provided in parallel. The second filter screen is provided between the suction port and the blowout port in the interior case 2720, and the first filter screen is provided inside the interior case 2720.

[0234] Also, the first filter screen may be provided inside the exterior case 2710.

[0235] Also, FIG. 27 schematically shows each filter screen, but does not show the positions inside the purification device 2700.

[0236] Then, since the filter screens are stacked and installed, the longer the path to be filtered, the better the purification effect. When the interior case is raised by controlling the vertical adjustment means, the suction port at the bottom of the peripheral edge of the interior case first sucks a large amount of particulate matter having a small particle size from the upper air inlet, and after continuing for one hour, it moves to the lower air inlet and sucks the particulate matter having a large particle size. By cooperating with the suction port at the bottom, a better purification effect can be obtained.

[0237] In the embodiment of the present invention, there is a preset space between the second filter screen and the third filter screen. Then, the second filter screen and the third filter screen are not closely connected, and an activity space is formed, so there is a gap between the filter screens, and the purification space is optimized.

[0238] In the embodiment of the present invention, a lighting lamp may be provided at the suction port and the blowout port, and the length of the lighting lamp coincides with the lengths of the corresponding suction port and blowout port.

[0239] Then, the particulate matter can be clearly seen to move under the illumination of the lamp, and the comparison between the particulate matter at the suction port and the particulate matter at the blowout port can be visualized, resulting in a better purification effect. Also, at night, it may be used as an illuminating lamp. Of course, the color and length of the lamp can be changed, and music flows in the entertainment mode, so a good effect can be obtained in terms of user experience.

[0240] In an embodiment of the present invention, the purification device 2700 may be for household use, commercial use, or public use.

[0241] For example, the purification device 2700 may be used in a house environment, a commercial environment such as an office, an office building, a shopping mall, or a public environment such as a school.

[0242] As can be seen from the above embodiments, in order to control the purification device according to the concentration distribution of particulate matter with different particle sizes in the indoor space, targeted control for particulate matter with different particle sizes can be performed, the purification efficiency and speed can be increased, and a good purification effect can be realized quickly and efficiently.

[0243] The above device and method in the embodiment of the present invention may be realized by hardware, or may be realized by a combination of hardware and software. The present invention relates to a computer-readable program as follows. When the program is executed by a logic unit, the above device or component can be realized in the logic unit, or the above various methods or steps can be realized in the logic unit.

[0244] The embodiment of the present invention relates to a storage medium for storing the above program, for example, a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.

[0245] It should be noted that on the premise that the limitations of each step according to this solution do not affect the implementation of the specific solution, the sequence of steps before and after is not considered to be limited either. The steps described above may be executed first, may be executed later, or may even be executed simultaneously. As long as this solution can be implemented, it should be regarded as falling within the protection scope of this application.

[0246] As described above, the present invention has been described in conjunction with specific embodiments. However, those skilled in the art should understand that all of these descriptions are merely exemplary and not limitations on the protection scope of the present invention. Based on the spirit and principle of the present invention, those skilled in the art can make various modifications and alterations to the present invention, and these modifications and alterations also fall within the scope of the present invention.

Prior Art Documents

Patent Documents

[0247]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Claims

1. A step of specifying a concentration distribution of particulate matter having different particle sizes in an indoor space, and A step of controlling at least one equipment parameter of a purification device according to the concentration distribution of the particulate matter having different particle sizes in the indoor space, comprising The step of specifying the concentration distribution of the particulate matter having different particle sizes in the indoor space is A step of obtaining environmental parameters of the indoor space, and A step of predicting a concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time based on the environmental parameters, comprising The environmental parameters include temperature and / or humidity data, characterized in that, A control method for a purification device.

2. The step of specifying the concentration distribution of the particulate matter having different particle sizes in the indoor space is A step of obtaining temperature and / or humidity data of the indoor space, and A step of specifying the concentration of particulate matter having different particle sizes corresponding to the temperature and / or humidity at different heights by a look-up table, and obtaining the concentration distribution of the particulate matter having different particle sizes in the indoor space, comprising, characterized in that, The control method according to claim 1.

3. The step of specifying the concentration distribution of the particulate matter having different particle sizes in the indoor space is A step of obtaining temperature and / or humidity data of the indoor space, and A step of inputting the temperature and / or humidity data and height information into a first neural network model to obtain a concentration distribution of particulate matter having different particle sizes in the indoor space, comprising, characterized in that, The control method according to claim 1.

4. The step of specifying the concentration distribution of particulate matter having different particle sizes in the indoor space includes the step of obtaining numerical values of sensors for particulate matter having different particle sizes in the room, and the step of fitting the concentration distribution of particulate matter having different particle sizes in the indoor space based on the numerical values of the sensors for particulate matter having different particle sizes in the room, characterized by including the control method according to claim 1.

5. The step of predicting the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time based on the temperature and / or humidity data of the indoor space includes the step of inputting the temperature and / or humidity data and height information into a second neural network model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time, characterized by including the control method according to claim 1.

6. The step of predicting the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time based on the temperature and / or humidity data of the indoor space includes the step of inputting the temperature and / or humidity data and height information into a simulation model to obtain the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time, characterized by including the control method according to claim 1.

7. The step of controlling at least one device parameter of the purification device according to the concentration distribution of particulate matter having different particle sizes in the indoor space includes the step of adjusting in real time a control command for at least one device parameter according to the concentration distribution of particulate matter having different particle sizes in the indoor space at the plurality of times, characterized by including The control method according to claim 1.

8. The step of specifying the concentration distribution of particulate matter having different particle sizes in the indoor space includes the step of obtaining an indoor floor plan, and the step of specifying the concentration distribution of particulate matter having different particle sizes in the indoor space while combining the indoor floor plan, characterized by including The control method according to claim 1.

9. the step of specifying the concentration distribution of other pollutants in the indoor space other than particulate matter, and the step of controlling at least one device parameter of the purification device according to the concentration distribution of the other pollutants in the indoor space, further characterized by including The control method according to claim 1.

10. The step of specifying the concentration distribution of particulate matter having different particle sizes in the indoor space, and the step of controlling at least one device parameter of the purification device according to the concentration distribution of the particulate matter having different particle sizes in the indoor space, including The purification device is an outer casing provided with suction ports at the lower end and the bottom on the peripheral side edge, and an inner casing provided with blowout ports on the peripheral side edge and the upper side, and includes The step of controlling at least one device parameter of the purification device according to the concentration distribution of the particulate matter having different particle sizes in the indoor space is the step of controlling the opening ranges of the suction port and the blowout port according to the concentration distribution of the particulate matter having different particle sizes in the indoor space, and After the operation of the purification device continues for one hour, changing the opening ranges of the suction port and the blowing port based on the detection result or prediction result for particulate matter having different particle sizes. Including the above, and characterized by A control method for a purification device.

11. Controlling at least one of the opening and closing frequency, opening and closing range, and opening and closing angle of the suction port and the blowing port based on the detection result for obstacles around the purification device. Further including the above, and characterized by The control method according to claim 1.

12. When the concentration of particulate matter having a large particle size is high in a low-altitude area indoors, controlling the opening ranges of the suction port and the blowing port within the low-altitude area and increasing the wind force. After the operation of the purification device continues for one hour, gradually increasing the opening range in altitude of the suction port and the blowing port based on the detection result or prediction result for particulate matter. Characterized by the above. The control method according to claim 10.

13. When the concentration of particulate matter having a large particle size is low in a low-altitude area indoors, controlling the opening ranges of the suction port and the blowing port to open to the maximum range in altitude. After the operation of the purification device continues for one hour, gradually decreasing the opening range in altitude of the suction port and the blowing port based on the detection result or prediction result for particulate matter. Characterized by the above. The control method according to claim 10.

14. Obtaining an indoor layout diagram of the house. Further including the above, Based on the environmental parameters, the step of predicting the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time is Based on the environmental parameters and the indoor layout diagram, predicting the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time, including, characterized in that, The control method according to claim 1.

15. The indoor layout diagram includes at least one element among floor plan, furniture arrangement, orientation, and geographical location. The indoor layout diagram is obtained based on a building information model and / or an indoor image taken by a camera. Characterized in that The control method according to claim 14.

16. The environmental parameters include at least one environmental parameter sequence of environmental parameters at at least one position point in the room at a plurality of consecutive times. The step of predicting the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time based on the environmental parameters is Inputting the at least one environmental parameter sequence into a third neural network model or a simulation model, and outputting the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time, including, characterized in that, The control method according to claim 1.

17. The environmental parameters include four environmental parameter sequences of environmental parameters at four position points in the room at eight consecutive times. The step of predicting the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time based on the environmental parameters is Inputting the four environmental parameter sequences as four channels into the third neural network model or the simulation model, and outputting the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time, including the step of, characterized in that The control method according to claim 16.

18. The environmental parameters are obtained by a plurality of sensors arranged at different positions in the room or at least one sensor movable in the room, characterized in that The control method according to claim 1.

19. The environmental parameters include a plurality of environmental parameters at different heights in the room, characterized in that The control method according to claim 1.

20. The step of specifying the concentration distribution of particulate matter with different particle sizes in the indoor space is Inputting the at least one environmental parameter sequence, the state of indoor environmental equipment and / or user behavior into the third neural network model or the simulation model, and obtaining the concentration distribution of particulate matter with different particle sizes in the indoor space at a plurality of times after the current time, including the step of, characterized in that The control method according to claim 16.

21. The at least one environmental parameter sequence includes a plurality of particulate matter data sequences at different positions in the room, characterized in that The control method according to claim 20.

22. The environmental parameters include at least one of the concentration of particulate matter with different particle sizes, the VOC concentration, the formaldehyde concentration, the odor concentration, and the carbon dioxide concentration, characterized in that The control method according to claim 1.

23. When the noise of the purification device is greater than a preset threshold value, a step of activating a noise removal module further comprising, characterized in that The control method according to claim 1.

24. The device parameters are at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the suction port, or at least one of the number of openings and closings, the opening and closing range, and the opening and closing angle of the air outlet, or the magnitude of the wind force, or the operation mode characterized in that The control method according to any one of claims 1 to 22.

25. An identification unit for identifying the concentration distribution of particulate matter having different particle sizes in an indoor space, A first control unit for controlling at least one device parameter of a purification device according to the concentration distribution of particulate matter having different particle sizes in an indoor space, comprising The identification unit acquires environmental parameters of the indoor space, based on the environmental parameters, predicts the concentration distribution of particulate matter having different particle sizes in the indoor space at a plurality of times after the current time, The environmental parameters include temperature and / or humidity data, characterized in that A control device for a purification device.

26. The control device for a purification device according to claim 25, comprising, characterized in that A purification device.

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