Passive fresh air control method and system based on cloud control and electronic equipment
By adopting a cloud-based fresh air system in passive houses, using sensors to obtain environmental data in real time and intelligently adjust the fresh air system, the problem that the fresh air system in the existing technology cannot be adjusted according to the number of people and sports status is solved, efficient air quality adjustment and automatic low-power operation are achieved, and the system intelligence and user experience are improved.
Patent Information
- Application Number
- CN202411679220.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-22
- Publication Date
- 2025-02-28
AI Technical Summary
The existing passive residential fresh air system cannot be intelligently adjusted according to the number of people and the movement status of people, resulting in slow air quality adjustment, low power operation automatically when there is no one, and problems such as misoperation are prone to occur.
Using a cloud-based control method, the humidity sensor, infrared thermal imaging sensor and carbon dioxide concentration sensor are set in the target room to obtain environmental data in real time and send it to the mobile terminal through the cloud platform to intelligently adjust the operating status of the fresh air system based on the data.
It realizes intelligent adjustment of the operating status of the fresh air system based on indoor environmental data, improves the efficiency of air quality adjustment, ensures automatic low-power operation when unmanned, and avoids misoperation, which significantly improves the intelligence level and user experience of the fresh air control system.
Smart Images

Figure CN119532908A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of fresh air control scheme design, and in particular to a passive fresh air control method and system based on cloud control, and electronic equipment. Background Art
[0002] Passive buildings are attracting more and more attention from the country and society for their ultra-low energy consumption. However, in order to reduce indoor energy loss, the air tightness of passive buildings is usually good, which makes the indoor air quality very dependent on the fresh air system. However, the existing passive residential fresh air system has problems such as not being able to adjust according to the number of people and the movement status of each person, and low intelligence, which easily leads to slow indoor air quality adjustment when there are many people, failure to automatically adjust to low power operation when no one is around, and easy misoperation by the elderly and children. Therefore, the present invention proposes a passive residential fresh air system based on cloud control to solve these problems.
[0003] Therefore, the prior art needs to be further developed. Summary of the invention
[0004] The purpose of the present invention is to overcome the above-mentioned technical deficiencies and provide a passive fresh air control method and system and electronic equipment based on cloud control to solve the problems existing in the prior art.
[0005] To achieve the above technical objectives, according to a first aspect of the present invention, the present invention provides a passive fresh air control method based on cloud control, comprising: S100, using a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor disposed in the target room to obtain environmental data of the target room at preset time intervals; S200, sending the environmental data of the target room to the mobile terminal via the cloud platform; S300. Controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room.
[0006] Specifically, the environmental data includes: Humidity data, number of people, and carbon dioxide concentration in the target room.
[0007] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S310, determining whether the humidity data of the target room is greater than or equal to a first preset threshold; S311, if yes, turn on the dehumidification function of the fresh air system of the target room until the humidity data of the target room is less than the first preset threshold, and then turn off the dehumidification function of the fresh air system of the target room; S312: If not, the dehumidification function of the fresh air system of the target room is not enabled.
[0008] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S320, determining whether the carbon dioxide concentration data of the target room is greater than or equal to a second preset threshold; S321: If yes, turn on the ventilation function of the fresh air system of the target room until the carbon dioxide concentration data of the target room is less than the second preset threshold, and then turn off the ventilation function of the fresh air system of the target room; S322: If not, the ventilation function of the fresh air system of the target room is not activated.
[0009] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S330, determining whether the number of people in the target room is greater than or equal to a third preset threshold; S331: If yes, control the fresh air system of the target room to operate at a first preset power; S332: If not, determine whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determine whether to control the fresh air system of the target room to operate at a second preset power according to the determination result.
[0010] Specifically, the determining whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determining whether to control the fresh air system of the target room to operate at a second preset power according to the determination result, includes: S3320: If the number of people in the target room is greater than or equal to the fourth preset threshold, control the fresh air system of the target room to operate at the second preset power; S3321. If the number of people in the target room is less than the fourth preset threshold, control the fresh air system in the target room to operate at the third preset power.
[0011] Specifically, the method includes: An infrared thermal imaging sensor disposed in a target room is used to collect infrared thermal imaging images of the target room at preset time intervals, and the current frame image is processed and identified. If a pixel point having a grayscale value greater than or equal to a fifth preset threshold value exists in the infrared thermal imaging image data of the current frame, the pixel point is determined as a target point, and a target range is determined according to the target point, and the target range needs to include all target points in the infrared thermal imaging image data of the current frame. A target search frame is established according to the target range, and it is determined whether the area of the target search frame is greater than or equal to a sixth preset threshold value and whether the total grayscale value of each target point is greater than or equal to a seventh preset threshold value. If the area of the target search frame is greater than or equal to the sixth preset threshold value or the total grayscale value of each target point is greater than or equal to the seventh preset threshold value, it is determined that a target image defined as a person exists in the infrared thermal imaging image of the current frame, and the target search frame needs to include the target range and the background of the preset range around the target. The target mass points are calculated and a search frame is established with the boundary of the target, and the search frame is expanded to a preset multiple of the search frame established with the boundary of the target with the center of mass of the target as a base point, and the number of people in the target room is determined according to the number of target search frames.
[0012] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S340, arbitrarily select a target in a target room, determine whether the pixel distance moved by the target's center of mass in two adjacent frames of infrared thermal imaging images is greater than or equal to an eighth preset threshold value, if not, control the first counter to add one, if yes, control the first counter to clear, calculate the product of the preset time interval and the first counter, record it as the static duration of the target, determine whether the static duration of the target is greater than or equal to a ninth preset threshold value, if yes, determine that the target enters a sleep state; if no, determine that the target does not enter a sleep state; S341, using the same method, determining whether all targets in the target room are in a sleeping state; S342: If yes, control the fresh air system of the target room to operate at a fourth preset power; If not, the current operating power of the fresh air system in the target room will not be changed.
[0013] According to a second aspect of the present invention, a passive fresh air control system based on cloud control is provided, comprising: An acquisition module, including a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor disposed in the target room, for acquiring environmental data of the target room at preset time intervals; The control module is used to send the environmental data of the target room to the mobile terminal through the cloud platform; and is used to control the operating state of the fresh air system set in the target room according to the environmental data of the target room.
[0014] According to a third aspect of the present invention, there is provided an electronic device, comprising: a memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the above-mentioned cloud-controlled based passive fresh air control method is implemented.
[0015] Beneficial effects: The present application provides a passive fresh air control method and system based on cloud control, which uses a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor set in the target room to obtain the environmental data of the target room at a preset time interval; sends the environmental data of the target room to a mobile terminal through a cloud platform; controls the operating state of the fresh air system set in the target room according to the environmental data of the target room, and solves the problem that the fresh air system in the prior art cannot make adjustments according to the number of people and the movement status of each person and has a low degree of intelligence by monitoring the indoor environmental data in real time and intelligently adjusting the operating state of the fresh air system according to the data. It has the advantages of intelligently adjusting the operating state of the fresh air system according to the indoor environmental data, improving the air quality adjustment efficiency, realizing automatic low-power operation when no one is around, and avoiding misoperation. The intelligence level and user experience of passive fresh air control are greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a flow chart of a passive fresh air control method based on cloud control provided in a specific embodiment of the present invention; Figure 2 It is a schematic diagram of the system composition of a passive fresh air control system based on cloud control provided in a specific embodiment of the present invention. DETAILED DESCRIPTION
[0017] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by ordinary technicians in this field without making creative work should all fall within the scope of protection of this application. In addition, the directional words mentioned in the following embodiments, such as "up", "down", "left", "right", etc., are only reference to the directions of the accompanying drawings. Therefore, the directional words used are used to illustrate rather than limit the invention.
[0018] The present invention will be further described below in conjunction with the accompanying drawings and preferred embodiments.
[0019] See also Figure 1 The present invention provides a passive fresh air control method based on cloud control, comprising: S100, using a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor installed in the target room to obtain environmental data of the target room at preset time intervals.
[0020] Specifically, the environmental data includes: Humidity data, number of people, and carbon dioxide concentration in the target room.
[0021] It should be noted that the steps before step S100 include: A first preset threshold, a second preset threshold, a third preset threshold, a fourth preset threshold, a fifth preset threshold, a sixth preset threshold, a seventh preset threshold, an eighth preset threshold, a ninth preset threshold, a preset time interval, a first preset power, a second preset power, a third preset power, a fourth preset power, and a preset multiple are pre-set in the control module 200.
[0022] It can be understood that the first preset threshold, the second preset threshold, the third preset threshold, the fourth preset threshold, the fifth preset threshold, the sixth preset threshold, the seventh preset threshold, the eighth preset threshold, the ninth preset threshold, the preset time interval, the first preset power, the second preset power, the third preset power, the fourth preset power, and the preset multiple can be determined according to the actual needs of the user of the present invention. The present invention does not limit the specific settings of the above parameters, as long as it is applicable to the passive fresh air control method based on cloud control proposed in the present invention.
[0023] Preferably, the present invention sets the first preset threshold to a relative humidity value of 50%, the second preset threshold to 0.05%, the third preset threshold to 3 people, the fourth preset threshold to 2 people, and the fifth preset threshold to 80. The present invention sets the sixth preset threshold to 30% of the image area of the infrared thermal imaging image. The calculation method of the seventh preset threshold is to multiply the total number of pixels of the infrared thermal imaging image by the sixth preset threshold, and then multiply the result by the fifth preset threshold. The present invention sets the eighth preset threshold to 10% of the length or width of the infrared thermal imaging image. The present invention sets the ninth preset threshold to 60 minutes. The present invention sets the preset time interval to 5 minutes. The present invention sets the first preset power to 100% of the rated power of the fresh air system. The present invention sets the second preset power to 75% of the rated power of the fresh air system. The present invention sets the third preset power to 50% of the rated power of the fresh air system. The present invention sets the fourth preset power to 25% of the rated power of the fresh air system. The present invention sets the preset multiple to 1.1 times. The above settings are obtained by the technicians of the present invention through a large number of parameters, which can well implement the passive fresh air control method based on cloud control proposed by the present invention, and further improve the usability and user experience of the present invention.
[0024] S200: Send the environmental data of the target room to the mobile terminal via the cloud platform.
[0025] Specifically, the mobile terminal can view and send instructions to the cloud platform, which is fed back to the control module 200 and the control module 200 executes the relevant instructions.
[0026] S300. Controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room.
[0027] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S310, determining whether the humidity data of the target room is greater than or equal to a first preset threshold; S311, if yes, turn on the dehumidification function of the fresh air system of the target room until the humidity data of the target room is less than the first preset threshold, and then turn off the dehumidification function of the fresh air system of the target room; S312: If not, the dehumidification function of the fresh air system of the target room is not enabled.
[0028] It should be noted here that controlling the opening or closing of the dehumidification function and the ventilation function of the fresh air system is a prior art, and the present invention will not go into details here.
[0029] It is understandable that the above technical features work together to achieve the effect that the fresh air system can automatically adjust the dehumidification function according to the humidity data, thereby solving the humidity adjustment problem of the passive fresh air system. Specifically, by real-time monitoring of humidity data and comparing it with the preset threshold, the system can automatically turn on or off the dehumidification function to ensure the comfort and air quality of the indoor environment.
[0030] The implementation methods of this technical solution may include the following: One method is to monitor the humidity data of the target room in real time through a humidity sensor and transmit the data to the control module. The control module determines whether to turn on or off the dehumidification function according to the preset humidity threshold. Another method is to receive humidity data through a cloud platform, process and judge the data in the cloud, and then send the control command to the fresh air system. In addition, other environmental data, such as temperature, carbon dioxide concentration, etc., can be combined to comprehensively judge the operating status of the fresh air system to achieve more precise control.
[0031] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S320, determining whether the carbon dioxide concentration data of the target room is greater than or equal to a second preset threshold; S321: If yes, turn on the ventilation function of the fresh air system of the target room until the carbon dioxide concentration data of the target room is less than the second preset threshold, and then turn off the ventilation function of the fresh air system of the target room; S322: If not, the ventilation function of the fresh air system of the target room is not activated.
[0032] It is understandable that the above technical features can effectively monitor the carbon dioxide concentration in the target room by cooperating with each other and automatically turn on the ventilation function when the concentration is too high, thereby reducing the carbon dioxide concentration and ensuring good indoor air quality. Through the above scheme, the present application solves the problem of excessive carbon dioxide concentration in the target room, and can automatically turn on the ventilation function when the carbon dioxide concentration reaches a preset threshold, ensuring indoor air quality and avoiding adverse effects on human health caused by excessive carbon dioxide concentration.
[0033] Specifically, the present application monitors the carbon dioxide concentration in the target room in real time by setting a carbon dioxide concentration sensor. When the carbon dioxide concentration reaches or exceeds the set second preset threshold, the ventilation function of the fresh air system will automatically turn on, and the ventilation function will not be turned off until the carbon dioxide concentration drops below the threshold. This ensures that when the carbon dioxide concentration in the room is too high, ventilation is carried out in time to keep the air fresh. At the same time, when the carbon dioxide concentration does not reach the preset threshold, the ventilation function of the fresh air system will not start, thereby avoiding unnecessary energy consumption.
[0034] Through the above technical means, the present application realizes automatic monitoring and adjustment of the carbon dioxide concentration in the target room, ensuring the stability and good indoor air quality. Compared with the prior art, the advantage of the present application is that it can automatically adjust the operating state of the fresh air system according to the change of carbon dioxide concentration, avoiding the inconvenience of manual operation and the risk of misoperation, and improving the intelligence of the system and the convenience of use. Therefore, the present application can effectively save energy while ensuring the indoor air quality, and has a high practical value.
[0035] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S330, determining whether the number of people in the target room is greater than or equal to a third preset threshold; S331: If yes, control the fresh air system of the target room to operate at a first preset power; S332: If not, determine whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determine whether to control the fresh air system of the target room to operate at a second preset power according to the determination result.
[0036] Specifically, the determining whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determining whether to control the fresh air system of the target room to operate at a second preset power according to the determination result, includes: S3320: If the number of people in the target room is greater than or equal to the fourth preset threshold, control the fresh air system of the target room to operate at the second preset power; S3321. If the number of people in the target room is less than the fourth preset threshold, control the fresh air system in the target room to operate at the third preset power.
[0037] It should be noted here that the operating power of the fresh air system in the present invention refers to the rated power of the fan in the fresh air system.
[0038] Specifically, the method includes: An infrared thermal imaging sensor disposed in a target room is used to collect infrared thermal imaging images of the target room at preset time intervals, and the current frame image is processed and identified. If a pixel point having a grayscale value greater than or equal to a fifth preset threshold value exists in the infrared thermal imaging image data of the current frame, the pixel point is determined as a target point, and a target range is determined according to the target point, and the target range needs to include all target points in the infrared thermal imaging image data of the current frame. A target search frame is established according to the target range, and it is determined whether the area of the target search frame is greater than or equal to a sixth preset threshold value and whether the total grayscale value of each target point is greater than or equal to a seventh preset threshold value. If the area of the target search frame is greater than or equal to the sixth preset threshold value or the total grayscale value of each target point is greater than or equal to the seventh preset threshold value, it is determined that a target image defined as a person exists in the infrared thermal imaging image of the current frame, and the target search frame needs to include the target range and the background of the preset range around the target. The target mass points are calculated and a search frame is established with the boundary of the target, and the search frame is expanded to a preset multiple of the search frame established with the boundary of the target with the center of mass of the target as a base point, and the number of people in the target room is determined according to the number of target search frames.
[0039] Specifically, the calculation of the target centroid coordinates includes: According to the mean and standard deviation of the grayscale values of the original image, a piecewise linear change is made to the grayscale value of the original image to obtain the grayscale value of each point of the 8-bit single-channel image of the current frame image, and the target center of mass coordinates are calculated according to the grayscale value of each point of the 8-bit single-channel image of the current frame image.
[0040] The formula for the piecewise linear change is: Wherein, μ and σ are the mean and standard deviation of the grayscale values of the original image, respectively; x is the grayscale value of each point in the original image; y is the grayscale value of each point in the 8-bit single-channel image obtained after linear transformation; and y is a rounding operation.
[0041] The centroid positioning calculation formula is: Wherein, M and N represent the width and height of the target search box, (Mmin, Nmin), and (Xmax, Ymax) represent the coordinates of the upper left corner and lower right corner of the target search box, Iij represents the gray value of the pixel point in the rectangular area, i represents the row position of the pixel point, j represents the column position of the pixel point, and (Xc, Yc) represents the centroid coordinates. The area of the target search box is the product of the height and width of the target search box.
[0042] It can be understood that through the above technical solution, the operating status of the fresh air system can be intelligently adjusted according to changes in the number of people in the room, thereby effectively solving the problem in the prior art that the fresh air system cannot be adjusted according to changes in the number of people, and improving the intelligence and operating efficiency of the fresh air system.
[0043] Furthermore, the technical solution of the present application determines the number of people in the room by setting multiple preset thresholds, and adjusts the power of the fresh air system according to the number of people. For example, the changes in the number of people in the room can be monitored in real time by an infrared thermal imaging sensor or other number detection equipment. When the number of people in the room reaches or exceeds the third preset threshold, the fresh air system operates at the first preset power to ensure sufficient air circulation. When the number of people does not reach the third preset threshold, it is further determined whether the number of people reaches the fourth preset threshold. If it is reached, the fresh air system operates at the second preset power. If it is not reached, the fresh air system remains in a lower power operating state. This multi-stage power adjustment method can provide appropriate air circulation under different number of people, ensuring indoor air quality while saving energy.
[0044] Furthermore, the infrared thermal imaging sensor can adopt a high-resolution sensor to improve the clarity and accuracy of the image. The image processing algorithm can adopt advanced image enhancement technology to improve the recognition accuracy of the target point. The preset threshold can be adjusted according to the actual application scenario to adapt to different environmental conditions. The establishment of the target search box can adopt a variety of shapes and sizes to adapt to different target point distribution situations. The calculation of the mass point can adopt different algorithms to improve the accuracy and efficiency of the calculation. The expansion multiple of the search box can be adjusted according to actual needs to improve the coverage of the target point.
[0045] By using infrared thermal imaging sensors to collect images and process image data, the number of people in the room can be accurately identified. Compared with the prior art, the present application improves the recognition accuracy of target points and reduces misjudgments and missed judgments by combining preset thresholds and image processing algorithms. In addition, by establishing a target search box and calculating mass points, the accuracy and stability of personnel number detection are improved. Therefore, the present application can effectively solve the problems of low detection accuracy and high misjudgment rate in the prior art, and realize accurate detection of the number of people in the room.
[0046] The present application intelligently controls the operation status of the fresh air system and automatically adjusts the power of the fresh air system according to the change in the number of people in the room, thus solving the problem in the prior art that the fresh air system cannot be adjusted according to the change in the number of people. Therefore, the present application not only improves the intelligence level and operation efficiency of the fresh air system, but also effectively ensures the indoor air quality, saves energy, and avoids the tediousness of manual operation and the risk of misoperation.
[0047] Specifically, controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room includes: S340, arbitrarily select a target in a target room, determine whether the pixel distance moved by the target's center of mass in two adjacent frames of infrared thermal imaging images is greater than or equal to an eighth preset threshold value, if not, control the first counter to add one, if yes, control the first counter to clear, calculate the product of the preset time interval and the first counter, record it as the static duration of the target, determine whether the static duration of the target is greater than or equal to a ninth preset threshold value, if yes, determine that the target enters a sleep state; if no, determine that the target does not enter a sleep state; S341, using the same method, determining whether all targets in the target room are in a sleeping state; S342: If yes, control the fresh air system of the target room to operate at a fourth preset power; If not, the current operating power of the fresh air system in the target room will not be changed.
[0048] It is understandable that the passive fresh air control method and system based on cloud control provided by the present application utilizes humidity sensors, infrared thermal imaging sensors, and carbon dioxide concentration sensors set in the target room to obtain the environmental data of the target room at preset time intervals; sends the environmental data of the target room to the mobile terminal through the cloud platform; controls the operating state of the fresh air system set in the target room according to the environmental data of the target room, and solves the problem that the fresh air system in the prior art cannot make adjustments according to the number of people and the movement status of each person and has a low degree of intelligence by monitoring the indoor environmental data in real time and intelligently adjusting the operating state of the fresh air system according to the data. It has the advantages of intelligently adjusting the operating state of the fresh air system according to the indoor environmental data, improving the air quality adjustment efficiency, realizing automatic low-power operation when no one is around, and avoiding misoperation. The intelligence level and user experience of passive fresh air control are greatly improved.
[0049] See also Figure 2 The present invention provides another embodiment, which provides a passive fresh air control system based on cloud control, and the passive fresh air control system based on cloud control includes: The acquisition module 100 includes a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor disposed in the target room, and is used to acquire environmental data of the target room at preset time intervals; The control module 200 is used to send the environmental data of the target room to the mobile terminal through the cloud platform; and is used to control the operating state of the fresh air system set in the target room according to the environmental data of the target room.
[0050] It should be noted here that the present application provides a passive fresh air control method and system based on cloud control, which uses a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor set in the target room to obtain the environmental data of the target room at a preset time interval; sends the environmental data of the target room to the mobile terminal through the cloud platform; controls the operating state of the fresh air system set in the target room according to the environmental data of the target room, and solves the problem that the fresh air system in the prior art cannot make adjustments according to the number of people and the movement status of each person and has a low degree of intelligence by monitoring the indoor environmental data in real time and intelligently adjusting the operating state of the fresh air system according to the data. It has the advantages of intelligently adjusting the operating state of the fresh air system according to the indoor environmental data, improving the air quality adjustment efficiency, realizing automatic low-power operation when no one is there, and avoiding misoperation. The intelligence level and user experience of passive fresh air control are greatly improved.
[0051] In a preferred embodiment, the present application further provides an electronic device, the electronic device comprising: A memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the passive fresh air control method based on cloud control is implemented. The computer device can be broadly a server, a terminal, or any other electronic device with necessary computing and / or processing capabilities. In one embodiment, the computer device may include a processor, a memory, a network interface, a communication interface, etc. connected via a system bus. The processor of the computer device can be used to provide necessary computing, processing and / or control capabilities. The memory of the computer device may include a non-volatile storage medium and an internal memory. An operating system, a computer program, etc. may be stored in or on the non-volatile storage medium. The internal memory may provide an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface and the communication interface of the computer device can be used to connect and communicate with external devices through a network. When the computer program is executed by the processor, the steps of the method of the present invention are performed.
[0052] The present invention may be implemented as a computer-readable storage medium having a computer program stored thereon, which causes the steps of the method of an embodiment of the present invention to be executed when executed by a processor. In one embodiment, the computer program is distributed on a plurality of computer devices or processors coupled to a network so that the computer program is stored, accessed and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, may be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations may be performed by one or more computer devices or processors, and one or more other method steps / operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step / operation, or perform two or more method steps / operations.
[0053] It will be appreciated by a person skilled in the art that the method steps of the present invention may be performed by instructing related hardware such as a computer device or a processor through a computer program, and the computer program may be stored in a non-temporary computer-readable storage medium, which causes the steps of the present invention to be performed when the computer program is executed. Depending on the circumstances, any reference to memory, storage, database, or other media herein may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid state disk, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.
[0054] It is understandable that the passive fresh air control method and system based on cloud control provided by the present application utilizes humidity sensors, infrared thermal imaging sensors, and carbon dioxide concentration sensors set in the target room to obtain the environmental data of the target room at preset time intervals; sends the environmental data of the target room to the mobile terminal through the cloud platform; controls the operating state of the fresh air system set in the target room according to the environmental data of the target room, and solves the problem that the fresh air system in the prior art cannot make adjustments according to the number of people and the movement status of each person and has a low degree of intelligence by monitoring the indoor environmental data in real time and intelligently adjusting the operating state of the fresh air system according to the data. It has the advantages of intelligently adjusting the operating state of the fresh air system according to the indoor environmental data, improving the air quality adjustment efficiency, realizing automatic low-power operation when no one is around, and avoiding misoperation. The intelligence level and user experience of passive fresh air control are greatly improved.
[0055] The various technical features described above can be combined arbitrarily. Although all possible combinations of these technical features are not described, any combination of these technical features should be considered to be covered by this specification as long as there is no contradiction in such combination.
[0056] The specific implementation of the present invention described above does not constitute a limitation on the protection scope of the present invention. Any other corresponding changes and modifications made based on the technical concept of the present invention should be included in the protection scope of the claims of the present invention.
Claims
1. A passive fresh air control method based on cloud control, characterized in that: The method comprises: S100, using a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor disposed in the target room to obtain environmental data of the target room at preset time intervals; S200, sending the environmental data of the target room to the mobile terminal via the cloud platform; S300. Controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room.
2. The passive fresh air control method based on cloud control according to claim 1 is characterized in that: The environmental data includes: Humidity data, number of people, and carbon dioxide concentration in the target room.
3. The passive fresh air control method based on cloud control according to claim 2 is characterized in that: The controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room comprises: S310, determining whether the humidity data of the target room is greater than or equal to a first preset threshold; S311, if yes, turn on the dehumidification function of the fresh air system of the target room until the humidity data of the target room is less than the first preset threshold, and then turn off the dehumidification function of the fresh air system of the target room; S312: If not, the dehumidification function of the fresh air system of the target room is not enabled.
4. The passive fresh air control method based on cloud control according to claim 2 is characterized in that: The controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room comprises: S320, determining whether the carbon dioxide concentration data of the target room is greater than or equal to a second preset threshold; S321: If yes, turn on the ventilation function of the fresh air system of the target room until the carbon dioxide concentration data of the target room is less than the second preset threshold, and then turn off the ventilation function of the fresh air system of the target room; S322: If not, the ventilation function of the fresh air system of the target room is not activated.
5. The passive fresh air control method based on cloud control according to claim 2 is characterized in that: The controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room comprises: S330, determining whether the number of people in the target room is greater than or equal to a third preset threshold; S331: If yes, control the fresh air system of the target room to operate at a first preset power; S332: If not, determine whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determine whether to control the fresh air system of the target room to operate at a second preset power according to the determination result.
6. The passive fresh air control method based on cloud control according to claim 5 is characterized in that: The determining whether the number of people in the target room is greater than or equal to a fourth preset threshold, and determining whether to control the fresh air system of the target room to operate at a second preset power according to the determination result, includes: S3320: If the number of people in the target room is greater than or equal to the fourth preset threshold, control the fresh air system of the target room to operate at the second preset power; S3321. If the number of people in the target room is less than the fourth preset threshold, control the fresh air system in the target room to operate at the third preset power.
7. The passive fresh air control method based on cloud control according to claim 2 is characterized in that: The method comprises: An infrared thermal imaging sensor disposed in a target room is used to collect infrared thermal imaging images of the target room at preset time intervals, and the current frame image is processed and identified. If a pixel point having a grayscale value greater than or equal to a fifth preset threshold value exists in the infrared thermal imaging image data of the current frame, the pixel point is determined as a target point, and a target range is determined according to the target point, and the target range needs to include all target points in the infrared thermal imaging image data of the current frame. A target search frame is established according to the target range, and it is determined whether the area of the target search frame is greater than or equal to a sixth preset threshold value and whether the total grayscale value of each target point is greater than or equal to a seventh preset threshold value. If the area of the target search frame is greater than or equal to the sixth preset threshold value or the total grayscale value of each target point is greater than or equal to the seventh preset threshold value, it is determined that a target image defined as a person exists in the infrared thermal imaging image of the current frame, and the target search frame needs to include the target range and the background of the preset range around the target. The target mass points are calculated and a search frame is established with the boundary of the target, and the search frame is expanded to a preset multiple of the search frame established with the boundary of the target with the center of mass of the target as a base point, and the number of people in the target room is determined according to the number of target search frames.
8. The passive fresh air control method based on cloud control according to claim 7 is characterized in that: The controlling the operating state of the fresh air system provided in the target room according to the environmental data of the target room comprises: S340, arbitrarily select a target in a target room, determine whether the pixel distance moved by the target's center of mass in two adjacent frames of infrared thermal imaging images is greater than or equal to an eighth preset threshold value, if not, control the first counter to add one, if yes, control the first counter to clear, calculate the product of the preset time interval and the first counter, record it as the static duration of the target, determine whether the static duration of the target is greater than or equal to a ninth preset threshold value, if yes, determine that the target enters a sleep state; if no, determine that the target does not enter a sleep state; S341, using the same method, determining whether all targets in the target room are in a sleeping state; S342: If yes, control the fresh air system of the target room to operate at a fourth preset power; If not, the current operating power of the fresh air system in the target room will not be changed.
9. A passive fresh air control system based on cloud control, characterized in that: include: An acquisition module, including a humidity sensor, an infrared thermal imaging sensor, and a carbon dioxide concentration sensor disposed in the target room, for acquiring environmental data of the target room at preset time intervals; The control module is used to send the environmental data of the target room to the mobile terminal through the cloud platform; and is used to control the operating state of the fresh air system set in the target room according to the environmental data of the target room.
10. An electronic device, characterized in that: include: Memory; and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the passive fresh air control method based on cloud control according to any one of claims 1 to 8 is implemented.
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