Intelligent ventilation device and method thereof

Abstract

The invention provides an intelligent ventilation device and a method thereof. The intelligent ventilation device comprises a fan, an environment sensor, a controller, a rotating speed sensor and an intelligent power supply system. The environment sensor monitors indoor environment parameters in real time, and the controller generates a fan control instruction according to the environment parameters and controls the fan to rotate at a target rotating speed. The rotating speed sensor monitors the rotating speed of the fan in real time and sends data to the intelligent power supply system. The intelligent power supply system supplies power to the controller, the rotating speed sensor and the fan and intelligently adjusts power supply output according to rotating speed monitoring data. The rotating speed of the fan is automatically adjusted according to indoor environment requirements, and the system has the advantages of energy conservation, high efficiency, intelligent control and the like, is suitable for various indoor environments and improves the indoor air quality.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving ventilation, and in particular to an intelligent ventilation device and a method thereof. Background Art

[0002] With the development of society and the improvement of people's living standards, indoor air quality has become the focus of people's attention. Ventilation is one of the effective means to improve indoor air quality. Traditional ventilation methods mainly include manual window ventilation and installation of fixed speed fans for ventilation. However, these methods have the following shortcomings:

[0003] Artificial window ventilation is affected by factors such as weather, season, and temperature difference between indoor and outdoor, and cannot achieve real-time and effective ventilation.

[0004] Fans with fixed speed cannot automatically adjust wind speed according to changes in the indoor environment, resulting in energy waste and reduced indoor comfort.

[0005] Existing ventilation equipment lacks intelligent control and cannot achieve remote monitoring and automatic adjustment, which means that users need to spend a lot of time and energy to operate the equipment while enjoying a comfortable indoor environment. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent ventilation device and method thereof to solve the above-mentioned problems.

[0007] To achieve the above object, the present invention provides an intelligent ventilation device, comprising:

[0008] Fan, used to generate airflow and achieve air movement;

[0009] Environmental sensors, used to monitor indoor environmental parameters in real time;

[0010] A controller, configured to generate a fan control instruction according to the environmental parameter, and control the fan to rotate at a target speed according to the fan control instruction;

[0011] A speed sensor, used to monitor the speed of the fan in real time and send the speed monitoring data to the intelligent power supply system;

[0012] The intelligent power supply system is used to provide power to the controller, the speed sensor and the fan, and to intelligently adjust the power output according to the speed monitoring data.

[0013] Preferably, the environmental sensor comprises:

[0014] Infrared sensor, used to monitor whether there is human activity in the room in real time. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work;

[0015] A temperature sensor, used to respond to a trigger signal from the infrared sensor and monitor the indoor temperature in real time;

[0016] A carbon dioxide sensor, used to respond to a trigger signal of the infrared sensor and monitor indoor carbon dioxide concentration in real time;

[0017] The camera module is used to respond to the trigger signal of the infrared sensor, capture the indoor environment image in real time, and perform image recognition on the environment image to obtain the number of people.

[0018] Preferably, the controller comprises:

[0019] A data processing module, used for calculating a ventilation demand index according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people;

[0020] The instruction generation module is used to generate a fan control instruction according to the ventilation demand index.

[0021] Preferably, the ventilation demand calculation module is specifically used to:

[0022] A first data processing unit, used to determine whether there is human activity according to the detection result of the infrared sensor;

[0023] A second data processing unit is used to set the ventilation demand index to a low value or turn off the fan if there is no human activity;

[0024] The third data processing unit is used to normalize the temperature data, carbon dioxide concentration data and personnel quantity data if there is personnel activity, and calculate the ventilation demand index using the following formula:

[0025] Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max);

[0026] Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

[0027] Preferably, the intelligent power supply system comprises:

[0028] A power supply module, used to provide power to the controller, the speed sensor and the fan;

[0029] An energy consumption determination module, used to obtain power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0030] The power distribution module is used to distribute power to the fan according to the power consumption and control the power supply module to supply power.

[0031] The present invention also provides an intelligent ventilation method, comprising:

[0032] The fan generates airflow to move the air;

[0033] Environmental sensors monitor indoor environmental parameters in real time;

[0034] The controller generates a fan control instruction according to the environmental parameter, and controls the fan to rotate at a target speed according to the fan control instruction;

[0035] The speed sensor monitors the speed of the fan in real time and sends the speed monitoring data to the intelligent power supply system;

[0036] The intelligent power supply system provides power to the controller, the speed sensor and the fan, and intelligently adjusts the power output according to the speed monitoring data.

[0037] Preferably, the environmental sensor monitors indoor environmental parameters in real time, including:

[0038] The infrared sensor monitors in real time whether there is human activity in the room. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work;

[0039] The temperature sensor responds to the trigger signal of the infrared sensor to monitor the indoor temperature in real time;

[0040] The carbon dioxide sensor responds to the trigger signal of the infrared sensor to monitor the indoor carbon dioxide concentration in real time;

[0041] The camera module responds to the trigger signal of the infrared sensor, captures the indoor environment image in real time, and performs image recognition on the environment image to obtain the number of people.

[0042] Preferably, the controller generates a fan control instruction according to the environmental parameter, including:

[0043] A ventilation demand index is calculated according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people, and a fan control instruction is generated according to the ventilation demand index.

[0044] Preferably, the calculating of the ventilation demand index according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people includes:

[0045] Determine whether there is human activity according to the detection result of the infrared sensor;

[0046] If there is no human activity, set the ventilation demand index to a low value or turn off the fan;

[0047] If there are human activities, the temperature data, carbon dioxide concentration data and human quantity data are normalized, and the ventilation demand index is calculated using the following formula:

[0048] Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max);

[0049] Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

[0050] Preferably, the intelligent power supply system provides power to the controller, the speed sensor and the fan, and intelligently adjusts the power output according to the speed monitoring data, including:

[0051] The power supply module provides power to the controller, the speed sensor and the fan;

[0052] The energy consumption determination module obtains the power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0053] The power distribution module distributes power to the fan according to the power consumption and controls the power supply module to supply power.

[0054] The intelligent ventilation device and method of the present invention have the following beneficial effects:

[0055] Monitor indoor environmental parameters in real time, automatically adjust fan speed according to environmental requirements, and achieve energy-saving ventilation; adopt intelligent power supply system to adjust power output in real time according to fan speed to improve power utilization efficiency; have remote monitoring and automatic adjustment functions to reduce user operation difficulty and improve indoor comfort; simple structure, easy installation, suitable for various indoor environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0057] Figure 1This is a framework diagram of an intelligent ventilation device in an embodiment of the present invention.

[0058] Figure 2 The present invention is a flow chart of a ventilation method for an intelligent ventilation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The detailed description of the accompanying drawings is intended as an illustration of the current embodiments of the present invention and is not intended to represent the only form in which the present invention can be implemented. It should be understood that the same or equivalent functions can be accomplished by different embodiments that are intended to be included in the spirit and scope of the present invention.

[0060] See also Figure 1 One embodiment of the present invention provides an intelligent ventilation device, comprising:

[0061] Fan, used to generate airflow and achieve air movement;

[0062] Environmental sensors, used to monitor indoor environmental parameters in real time;

[0063] A controller, configured to generate a fan control instruction according to the environmental parameter, and control the fan to rotate at a target speed according to the fan control instruction;

[0064] A speed sensor, used to monitor the speed of the fan in real time and send the speed monitoring data to the intelligent power supply system;

[0065] The intelligent power supply system is used to provide power to the controller, the speed sensor and the fan, and to intelligently adjust the power output according to the speed monitoring data.

[0066] Specifically, the working principle of the embodiment of the present invention is as follows:

[0067] Environmental sensors monitor indoor environmental parameters in real time. These parameters may include but are not limited to temperature, carbon dioxide concentration, volatile organic compound (VOCs) concentration, etc. The environmental sensors transmit the monitored data to the controller in real time.

[0068] After receiving the environmental parameters, the controller analyzes the data according to a preset program or algorithm to determine whether the indoor air quality meets the set standards or comfort requirements.

[0069] If the indoor air quality does not meet the standard, the controller will generate a fan control command, which contains information to make the fan reach the target speed.

[0070] The controller sends fan control instructions to the fan, and the fan adjusts its speed according to the instructions to generate appropriate airflow, thereby improving indoor air quality.

[0071] The fan starts working, moving air and achieving ventilation effect.

[0072] The speed sensor monitors the speed of the fan in real time to ensure that the fan operates according to the control instructions.

[0073] The speed sensor sends the monitored speed data to the intelligent power system.

[0074] After receiving the speed monitoring data, the intelligent power supply system intelligently adjusts the power output according to the data to ensure that the fan can obtain stable and efficient power supply at different speeds.

[0075] If the fan speed needs to be adjusted, the intelligent power system can adjust the power output accordingly to match the power demand of the fan, thereby achieving energy saving and efficient use of power.

[0076] Through the above working principle, the intelligent ventilation device of the present invention can automatically adjust the fan speed according to changes in the indoor environment to achieve real-time and effective ventilation. At the same time, through the adjustment of the intelligent power supply system, it can improve energy utilization efficiency, reduce energy consumption, and provide users with a comfortable and healthy indoor environment.

[0077] Furthermore, the environmental sensor comprises:

[0078] Infrared sensor, used to monitor whether there is human activity in the room in real time. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work;

[0079] A temperature sensor, used to respond to a trigger signal from the infrared sensor and monitor the indoor temperature in real time;

[0080] A carbon dioxide sensor, used to respond to a trigger signal of the infrared sensor and monitor indoor carbon dioxide concentration in real time;

[0081] The camera module is used to respond to the trigger signal of the infrared sensor, capture the indoor environment image in real time, and perform image recognition on the environment image to obtain the number of people.

[0082] Specifically, the infrared sensor is used to detect whether there is human activity in the room. It identifies whether there is a person by detecting the infrared radiation emitted by the human body. When the infrared sensor detects human activity in the room, it will send a trigger signal to notify other sensors and camera modules to start working.

[0083] After receiving the trigger signal from the infrared sensor, the temperature sensor starts to monitor the indoor temperature in real time. It transmits the measured temperature data to the controller so that the controller can adjust the fan speed according to the indoor temperature conditions to keep the indoor temperature within a comfortable range.

[0084] After receiving the trigger signal from the infrared sensor, the carbon dioxide sensor starts to monitor the carbon dioxide concentration in the room in real time. It transmits the measured carbon dioxide concentration data to the controller. The controller judges the indoor air quality based on this data and adjusts the fan speed when necessary to improve indoor air circulation and reduce carbon dioxide concentration.

[0085] After receiving the trigger signal from the infrared sensor, the camera module starts to capture the indoor environment in real time. The camera module not only captures images, but also has image recognition function, which can identify the number of people from the captured images. The data on the number of people can be used to control the indoor environment more accurately, for example, adjusting the ventilation volume according to the number of people in the room to ensure that everyone can get enough fresh air.

[0086] This embodiment can effectively reduce the meaningless activation of temperature sensors, carbon dioxide sensors and camera modules by using infrared sensors as trigger mechanisms. Sensors and camera modules consume power when working. By activating these devices only when human activity is detected, the consumption of power can be significantly reduced, thereby saving power. Frequently turning electronic devices on and off will accelerate their aging process. By selectively turning on devices, wear and tear on the devices can be reduced and their service life can be extended. Only when there are people in the room do you need to pay attention to the temperature, carbon dioxide concentration and environmental images. Therefore, activating sensors and cameras on demand can use resources more efficiently.

[0087] When the infrared sensor detects that there is no human activity in the room, the temperature sensor, carbon dioxide sensor and camera module are in standby or off state, consuming no or very little power. Once the infrared sensor detects that someone has entered the room, it immediately sends a trigger signal to other sensors and the camera module. After receiving the trigger signal, the temperature sensor starts to monitor and transmit indoor temperature data, the carbon dioxide sensor starts to monitor and transmit indoor carbon dioxide concentration data, and the camera module starts to capture and analyze environmental images to obtain information on the number of people. The controller adjusts the fan speed and ventilation volume based on these real-time data to ensure a comfortable and healthy indoor environment. When the infrared sensor detects that someone has left the room again, it can send a signal to the controller, which can then instruct the temperature sensor, carbon dioxide sensor and camera module to enter standby or off state to save power.

[0088] In this way, the intelligent ventilation device in the present invention can intelligently manage the indoor environment monitoring equipment, which not only ensures the comfort of the indoor environment but also achieves efficient use of energy.

[0089] Furthermore, the controller comprises:

[0090] A data processing module, used for calculating a ventilation demand index according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people;

[0091] The instruction generation module is used to generate a fan control instruction according to the ventilation demand index.

[0092] Specifically, the data processing module is the core part of the controller, which is responsible for receiving and processing data from infrared sensors, temperature sensors, carbon dioxide sensors and camera modules. When the infrared sensor detects human activity indoors, the data processing module receives the indoor temperature data measured by the temperature sensor, the indoor carbon dioxide concentration data measured by the carbon dioxide sensor, and the number of people indoors obtained by the camera module through image recognition. The data processing module calculates the ventilation demand index based on these data. The ventilation demand index is a comprehensive indicator. The calculation of the ventilation demand index takes into account the weights and interrelationships of various environmental parameters to determine the best ventilation strategy.

[0093] The instruction generation module generates fan control instructions based on the ventilation demand index calculated by the data processing module. These instructions tell the fan at what speed to run and whether to turn on or adjust the fan's operating mode. The instruction generation module takes into account the maximum and minimum speed limits of the fan, as well as any user-set preferences or restrictions. Once the instructions are generated, they are sent to the fan, which adjusts its speed and operating status according to these instructions to provide the appropriate amount of ventilation.

[0094] Through the collaborative work of these two modules, the controller can intelligently respond to changes in the indoor environment and automatically adjust the ventilation system to ensure that the indoor air quality is always maintained at an appropriate level. This automated control method not only improves the comfort of the living or working environment, but also achieves efficient use of energy by precisely controlling the operation of the fan.

[0095] Furthermore, the ventilation demand calculation module is specifically used to:

[0096] A first data processing unit, used to determine whether there is human activity according to the detection result of the infrared sensor;

[0097] A second data processing unit is used to set the ventilation demand index to a low value or turn off the fan if there is no human activity;

[0098] The third data processing unit is used to normalize the temperature data, carbon dioxide concentration data and personnel quantity data if there is personnel activity, and calculate the ventilation demand index using the following formula:

[0099] Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max);

[0100] Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

[0101] Specifically, the first data processing unit is responsible for receiving the detection results of the infrared sensor to determine whether there is any human activity in the room. If the infrared sensor does not detect any human activity, the first data processing unit will assume that there is no one in the room and no additional ventilation is required.

[0102] When the first data processing unit determines that there is no human activity indoors, the second data processing unit will take action. It will set the ventilation demand index to a low value, which means that the ventilation demand is very low, or directly turn off the fan to save energy. In this case, since there is no one indoors, there is no need to maintain a higher air quality standard.

[0103] If the infrared sensor detects human activity indoors, the third data processing unit will start working. It first normalizes the temperature data, carbon dioxide concentration data, and human quantity data. Normalization is to convert these data into a dimensionless value, usually between 0 and 1, so that they can be compared and calculated on the same scale.

[0104] Next, the third data processing unit calculates the ventilation demand index Q using the following formula:

[0105] Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max);

[0106] T / T_opt reflects the degree of deviation between the current temperature and the ideal temperature, CO2 / CO2_max represents the ratio of the current carbon dioxide concentration to the maximum allowable value, and N / N_max represents the ratio of the current number of people to the maximum capacity. Each ratio is between 0 and 1. When the actual value is equal to the ideal value or the maximum allowable value, the ratio is 1; when the actual value is far below the ideal value or the maximum allowable value, the ratio is close to 0.

[0107] The ventilation demand index Q is a comprehensive indicator that takes into account the influence of three factors: temperature, carbon dioxide concentration and the number of people. The larger the value of Q, the higher the ventilation demand. The controller will adjust the fan speed according to this index to provide adequate ventilation.

[0108] In this way, the ventilation demand calculation module can intelligently evaluate the ventilation needs in the room and ensure that the ventilation volume is increased only when necessary, thus achieving efficient use of energy and optimization of indoor air quality.

[0109] Furthermore, the intelligent power supply system comprises:

[0110] A power supply module, used to provide power to the controller, the speed sensor and the fan;

[0111] An energy consumption determination module, used to obtain power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0112] The power distribution module is used to distribute power to the fan according to the power consumption and control the power supply module to supply power.

[0113] Specifically, the power supply module is responsible for providing a stable power supply to the controller, speed sensor and fan. It ensures that all components can obtain sufficient power supply when needed to maintain their normal operation.

[0114] The core function of the energy consumption determination module is to calculate the power consumption of the fan based on the real-time speed of the fan and the preset speed-power relationship model. The speed-power relationship model is a mathematical model based on the characteristics of the fan. It describes the quantitative relationship between the fan speed and power consumption. This model is determined by experimental data or information provided by the fan manufacturer. When the speed sensor monitors the speed of the fan, the energy consumption determination module will use this speed value and the speed-power relationship model to calculate the current power consumption.

[0115] The power distribution module receives the power consumption data provided by the energy consumption determination module and distributes power to the fan based on this data. It adjusts the output of the power supply module according to the actual needs of the fan to ensure that the fan operates in the optimal working state while avoiding unnecessary energy waste. The power distribution module can also optimize power distribution based on overall energy usage or external energy price signals, for example, charging batteries or storing energy when energy prices are low.

[0116] When the fan adjusts its speed according to the controller's instructions, the speed sensor monitors and reports the fan's speed in real time. The energy consumption determination module uses this data to calculate the fan's real-time power consumption. The power distribution module adjusts the output of the power supply module based on the power consumption data to ensure that the fan obtains the right amount of power while optimizing the energy efficiency of the entire system. In this way, the intelligent power system not only ensures the efficient operation of the fan, but also realizes the intelligent management of energy and reduces the overall energy consumption cost.

[0117] Another embodiment of the present invention further provides an intelligent ventilation method. The method of this embodiment is implemented based on the device of the above embodiment and includes the following steps:

[0118] Step S10, the environmental sensor monitors the indoor environmental parameters in real time;

[0119] Step S20, the controller generates a fan control instruction according to the environmental parameter, and controls the fan to rotate at a target speed according to the fan control instruction;

[0120] Step S30, the fan generates airflow to achieve air movement;

[0121] Step S40, the speed sensor monitors the speed of the fan in real time and sends the speed monitoring data to the intelligent power system;

[0122] Step S50: the intelligent power system provides power to the controller, the speed sensor and the fan, and intelligently adjusts the power output according to the speed monitoring data.

[0123] Furthermore, the step S10 includes:

[0124] The infrared sensor monitors in real time whether there is human activity in the room. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work;

[0125] The temperature sensor responds to the trigger signal of the infrared sensor to monitor the indoor temperature in real time;

[0126] The carbon dioxide sensor responds to the trigger signal of the infrared sensor to monitor the indoor carbon dioxide concentration in real time;

[0127] The camera module responds to the trigger signal of the infrared sensor, captures the indoor environment image in real time, and performs image recognition on the environment image to obtain the number of people.

[0128] Furthermore, the step S20 includes:

[0129] A ventilation demand index is calculated according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people, and a fan control instruction is generated according to the ventilation demand index.

[0130] Furthermore, the ventilation demand index is calculated according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people, including:

[0131] Determine whether there is human activity according to the detection result of the infrared sensor;

[0132] If there is no human activity, set the ventilation demand index to a low value or turn off the fan;

[0133] If there are human activities, the temperature data, carbon dioxide concentration data and human quantity data are normalized, and the ventilation demand index is calculated using the following formula:

[0134] Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max);

[0135] Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

[0136] Furthermore, the step S50 includes:

[0137] The power supply module provides power to the controller, the speed sensor and the fan;

[0138] The energy consumption determination module obtains the power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0139] The power distribution module distributes power to the fan according to the power consumption and controls the power supply module to supply power.

[0140] It should be noted that the method of this embodiment is implemented based on the device of the above embodiment. Therefore, the contents not described in detail in the method of this embodiment can be obtained by referring to the contents of the device of the above embodiment, so they are not described in detail in this embodiment.

[0141] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An intelligent ventilation device, characterized in that: include: Fan, used to generate airflow and achieve air movement; Environmental sensors, used to monitor indoor environmental parameters in real time; A controller, configured to generate a fan control instruction according to the environmental parameter, and control the fan to rotate at a target speed according to the fan control instruction; A speed sensor, used to monitor the speed of the fan in real time and send the speed monitoring data to the intelligent power supply system; The intelligent power supply system is used to provide power to the controller, the speed sensor and the fan, and to intelligently adjust the power output according to the speed monitoring data.

2. The intelligent ventilation device according to claim 1 is further characterized in that: The environmental sensor comprises: Infrared sensor, used to monitor whether there is human activity in the room in real time. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work; A temperature sensor, used to respond to a trigger signal from the infrared sensor and monitor the indoor temperature in real time; A carbon dioxide sensor, used to respond to a trigger signal of the infrared sensor and monitor indoor carbon dioxide concentration in real time; The camera module is used to respond to the trigger signal of the infrared sensor, capture the indoor environment image in real time, and perform image recognition on the environment image to obtain the number of people.

3. The intelligent ventilation device according to claim 2 is further characterized in that: The controller comprises: A data processing module, used for calculating a ventilation demand index according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people; The instruction generation module is used to generate a fan control instruction according to the ventilation demand index.

4. The intelligent ventilation device according to claim 2 is further characterized in that: The ventilation demand calculation module is specifically used for: A first data processing unit, used to determine whether there is human activity according to the detection result of the infrared sensor; A second data processing unit is used to set the ventilation demand index to a low value or turn off the fan if there is no human activity; The third data processing unit is used to normalize the temperature data, carbon dioxide concentration data and personnel quantity data if there is personnel activity, and calculate the ventilation demand index using the following formula: Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max); Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

5. The intelligent ventilation device according to claim 2 is further characterized in that: The intelligent power supply system comprises: A power supply module, used to provide power to the controller, the speed sensor and the fan; An energy consumption determination module, used to obtain power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan; The power distribution module is used to distribute power to the fan according to the power consumption and control the power supply module to supply power.

6. An intelligent ventilation method, characterized in that: include: The fan generates airflow to move the air; Environmental sensors monitor indoor environmental parameters in real time; The controller generates a fan control instruction according to the environmental parameter, and controls the fan to rotate at a target speed according to the fan control instruction; The speed sensor monitors the speed of the fan in real time and sends the speed monitoring data to the intelligent power supply system; The intelligent power supply system provides power to the controller, the speed sensor and the fan, and intelligently adjusts the power output according to the speed monitoring data.

7. The intelligent ventilation method according to claim 6 is further characterized in that: The environmental sensor monitors indoor environmental parameters in real time, including: The infrared sensor monitors in real time whether there is human activity in the room. If so, it triggers the temperature sensor, carbon dioxide sensor and camera module to work; The temperature sensor responds to the trigger signal of the infrared sensor to monitor the indoor temperature in real time; The carbon dioxide sensor responds to the trigger signal of the infrared sensor to monitor the indoor carbon dioxide concentration in real time; The camera module responds to the trigger signal of the infrared sensor, captures the indoor environment image in real time, and performs image recognition on the environment image to obtain the number of people.

8. The intelligent ventilation method according to claim 7 is further characterized in that: The controller generates a fan control instruction according to the environmental parameter, including: A ventilation demand index is calculated according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people, and a fan control instruction is generated according to the ventilation demand index.

9. The intelligent ventilation method according to claim 7, further characterized in that: The calculating of the ventilation demand index according to the detection result of the infrared sensor and the current temperature, carbon dioxide concentration and number of people includes: Determine whether there is human activity according to the detection result of the infrared sensor; If there is no human activity, set the ventilation demand index to a low value or turn off the fan; If there are human activities, the temperature data, carbon dioxide concentration data and human quantity data are normalized, and the ventilation demand index is calculated using the following formula: Q=(T / T_opt)*(CO2 / CO2_max)*(N / N_max); Among them, Q is the ventilation demand index, T is the current indoor temperature, T_opt is the ideal indoor temperature, CO2 is the current indoor carbon dioxide concentration, CO2_max is the maximum allowable value of indoor carbon dioxide concentration, N is the current number of people in the room, and N_max is the maximum number of people that can be accommodated indoors.

10. The intelligent ventilation method according to claim 7, further characterized in that: The intelligent power supply system provides power to the controller, the speed sensor and the fan, and intelligently adjusts the power output according to the speed monitoring data, including: The power supply module provides power to the controller, the speed sensor and the fan; The energy consumption determination module obtains the power consumption according to the fan speed and a preset speed-power relationship model; the speed-power relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan; The power distribution module distributes power to the fan according to the power consumption and controls the power supply module to supply power.

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