Energy-saving small-space ventilation device and method thereof

Abstract

The invention provides an energy-saving small-space ventilation device and a method thereof. The energy-saving small-space ventilation device comprises an intelligent control system, a fan, a speed regulation device and a power management system. The intelligent control system monitors environmental parameters of the operation space in real time, generates a speed regulation control instruction and an energy consumption demand instruction according to the parameters, sends the speed regulation control instruction to the speed regulation device to adjust the rotating speed of the fan and control the air volume, and meanwhile sends the energy consumption demand instruction to the power management system. And the power management system determines the power consumption according to the fan rotating speed and a preset rotating speed-electric energy relation model, and reasonably distributes electric energy for the fan to realize energy conservation. By accurately controlling the rotating speed of the fan and optimizing electric energy distribution, the ventilation efficiency is effectively improved, the energy consumption is reduced, and the system is suitable for a small-space environment needing energy-saving ventilation.

Description

Technical Field

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

[0002] Due to the closed and crowded small spaces, air quality problems often occur, especially high concentrations of carbon dioxide (CO2), which may cause symptoms such as headaches, fatigue, and lack of concentration, affecting work efficiency. Traditional ventilation systems usually use a fixed ventilation rate without considering actual environmental needs and personnel activities, which may lead to energy waste. In addition, existing ventilation systems often lack intelligent monitoring and control mechanisms and cannot automatically adjust ventilation strategies according to real-time environmental changes.

[0003] To address these issues, some energy-saving ventilation technologies and devices have been developed, but they usually have the following limitations:

[0004] Lack of accurate environmental monitoring: Some systems are unable to monitor key environmental parameters in real time, such as CO2 concentration and personnel activity information.

[0005] The control strategy is not smart enough: Existing ventilation systems are often based on simple threshold control and cannot dynamically adjust the ventilation strategy according to the complex indoor environment.

[0006] Inadequate energy management: Many systems fail to effectively manage the electrical energy consumption of fans, resulting in energy waste. Summary of the invention

[0007] The purpose of the present invention is to propose an energy-saving small space ventilation device and method thereof, which provides an efficient, energy-saving and comfortable ventilation solution for small spaces by integrating advanced monitoring technology, intelligent control algorithms and effective energy management strategies.

[0008] To achieve the above object, the present invention provides an energy-saving small space ventilation device, comprising:

[0009] An intelligent control system, for real-time monitoring of environmental parameters of the working space, generating speed control instructions and energy consumption demand instructions according to the environmental parameters, sending the speed control instructions to the speed regulating device, and sending the energy consumption demand instructions to the power management system;

[0010] Fan, used to generate airflow and achieve air movement;

[0011] A speed regulating device, used to adjust the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume;

[0012] The power management system is used to reasonably allocate electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

[0013] Preferably, the intelligent control system comprises:

[0014] Data collection module, used to collect the current carbon dioxide concentration and number of people in the working space;

[0015] A ventilation demand assessment module, used for calculating a ventilation demand index according to the current carbon dioxide concentration and the number of people;

[0016] The instruction generation module is used to generate a speed control instruction and an energy consumption demand instruction according to the ventilation demand index.

[0017] Preferably, the data acquisition module includes:

[0018] Carbon dioxide sensor, used to monitor the carbon dioxide concentration in the working space air in real time;

[0019] The camera module is used to monitor the environmental image of the working space in real time and perform image recognition on the environmental image to obtain the number of people.

[0020] Preferably, the ventilation demand assessment module comprises:

[0021] A first calculation unit is used to calculate the difference between the current CO2 concentration and the safety threshold; wherein, C_excess=C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold;

[0022] The second calculation unit is used to calculate the total fresh air demand according to the number of personnel and the per capita fresh air demand; wherein V_total=N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand;

[0023] The third calculation unit is used to generate a ventilation demand index according to the C_excess and V_total; wherein, if C<=C_threshold, VDI=0, indicating that no additional ventilation is required; if C>C_threshold, VDI=C_excess / C_threshold*V_total, indicating that the ventilation volume needs to be increased; VDI is the ventilation demand index.

[0024] Preferably, the power management system comprises:

[0025] A speed determination module, used to determine the fan speed according to the ventilation demand index;

[0026] 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;

[0027] An electric energy distribution module is used to distribute electric energy to the fan according to the power consumption.

[0028] The present invention also provides an energy-saving small space ventilation method, comprising:

[0029] The intelligent control system monitors the environmental parameters of the working space in real time, generates a speed control instruction and an energy consumption demand instruction according to the environmental parameters, sends the speed control instruction to the speed regulation module, and sends the energy consumption demand instruction to the power management system;

[0030] The fan generates airflow to move the air;

[0031] The speed regulating module adjusts the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume;

[0032] The power management system reasonably allocates electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

[0033] Preferably, the intelligent control system monitors the environmental parameters of the working space in real time, and generates speed control instructions and energy consumption demand instructions according to the environmental parameters, including:

[0034] Collect the current carbon dioxide concentration and number of people in the working space;

[0035] Calculating a ventilation demand index based on the current carbon dioxide concentration and the number of people;

[0036] A speed control instruction and an energy consumption demand instruction are generated according to the ventilation demand index.

[0037] Preferably, the current carbon dioxide concentration and number of personnel in the collection working space include:

[0038] The carbon dioxide sensor monitors the carbon dioxide concentration in the working space air in real time;

[0039] The camera module monitors the environmental image of the working space in real time, and performs image recognition on the environmental image to obtain the number of personnel.

[0040] Preferably, the calculating of the ventilation demand index according to the current carbon dioxide concentration and the number of personnel comprises:

[0041] Calculate the difference between the current CO2 concentration and the safety threshold; where C_excess = C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold;

[0042] Calculate the total fresh air demand based on the number of personnel and the per capita fresh air demand; wherein V_total = N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand;

[0043] Generate a ventilation demand index based on C_excess and V_total; if C<=

[0044] C_threshold, then VDI = 0, indicating that no additional ventilation is required; if C>C_threshold, then VDI = C_excess / C_threshold*V_total, indicating that the ventilation volume needs to be increased; VDI is the ventilation demand index.

[0045] Preferably, the power management system reasonably allocates electric energy to the fan according to the energy consumption demand instruction to achieve energy saving, including:

[0046] determining a fan speed according to the ventilation demand index;

[0047] The power consumption is obtained according to the fan speed and a preset speed-power consumption relationship model; the speed-power consumption relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0048] Electric energy is allocated to the fan according to the power consumption.

[0049] The energy-saving small space ventilation device and method of the present invention have the following beneficial effects:

[0050] By real-time monitoring and responding to environmental parameters, especially carbon dioxide concentration, the present invention can ensure that indoor air quality is always maintained at a healthy level, thereby improving the comfort and health of staff; through the intelligent control system and power management system, the fan speed and power distribution are adjusted according to actual needs, which significantly reduces unnecessary energy consumption and achieves energy saving effects; the device adopts an intelligent algorithm, which can automatically adjust the ventilation strategy according to the number of people and activity intensity without manual intervention, thereby improving the automation level of the ventilation system; by reasonably controlling the fan speed, the frequent start and stop of the fan and long-term high-speed operation are reduced, which helps to extend the service life of the fan and other related equipment; the energy-saving effect is directly converted into a reduction in operating costs, which means significant economic benefits for a small space environment with long-term operation; the device can adapt to different indoor environments and usage requirements, and can provide suitable ventilation solutions; the intelligent control system and modular design make the device maintenance easier, reducing maintenance costs and downtime; through energy saving and emission reduction, the present invention helps to reduce greenhouse gas emissions, conforms to the concept of sustainable development, and has a positive impact on both society and the environment.

[0051] In summary, the energy-saving small space ventilation device of the present invention has significant advantages in improving indoor environmental quality, saving energy, enhancing automation level, reducing operating costs, etc., and provides an efficient, intelligent and environmentally friendly solution for small space ventilation. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] 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.

[0053] Figure 1 This is a frame structure diagram of an energy-saving small space ventilation device in an embodiment of the present invention.

[0054] Figure 2 The present invention is a flowchart of an energy-saving small space ventilation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0055] 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.

[0056] See also Figure 1 One embodiment of the present invention provides an energy-saving small space ventilation device, comprising:

[0057] An intelligent control system, for real-time monitoring of environmental parameters of the working space, generating speed control instructions and energy consumption demand instructions according to the environmental parameters, sending the speed control instructions to the speed regulating device, and sending the energy consumption demand instructions to the power management system;

[0058] Fan, used to generate airflow and achieve air movement;

[0059] A speed regulating device, used to adjust the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume;

[0060] The power management system is used to reasonably allocate electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

[0061] Specifically, the intelligent control system is the brain of the ventilation device, responsible for real-time monitoring of environmental parameters in the working space, such as carbon dioxide concentration, number of people, etc.

[0062] Environmental data is collected through sensors and other equipment, and the collected data is analyzed to evaluate the current environmental conditions. According to the results of the environmental parameter analysis, speed control instructions and energy consumption demand instructions are generated. The speed control instructions are sent to the speed control device to adjust the fan speed; the energy consumption demand instructions are sent to the power management system to optimize power distribution.

[0063] The fan is the power source of the ventilation device. It is responsible for generating airflow to achieve the exchange of indoor and outdoor air. It generates wind through rotating blades to promote air flow, thereby improving indoor air quality.

[0064] The speed regulating device adjusts the speed of the fan according to the speed control command sent by the intelligent control system. By adjusting the speed, the air volume is controlled to meet the ventilation needs under different environmental conditions. When a large amount of ventilation is not required, the speed is reduced to reduce energy consumption.

[0065] The power management system provides the fan with an appropriate amount of power according to the energy demand instructions sent by the intelligent control system, distributes the power reasonably, and ensures that the fan can operate efficiently under different working conditions. By optimizing the use of power and reducing unnecessary waste, energy saving effects are achieved.

[0066] In summary, the energy-saving small space ventilation device of the embodiment of the present invention realizes real-time monitoring and response to environmental parameters through the intelligent control system, adjusts the air volume through the fan and the speed regulation device, and optimizes the use of electric energy through the power management system, thereby achieving the goal of energy saving and consumption reduction while ensuring indoor air quality.

[0067] Furthermore, the intelligent control system comprises:

[0068] Data collection module, used to collect the current carbon dioxide concentration and number of people in the working space;

[0069] A ventilation demand assessment module, used for calculating a ventilation demand index according to the current carbon dioxide concentration and the number of people;

[0070] The instruction generation module is used to generate a speed control instruction and an energy consumption demand instruction according to the ventilation demand index.

[0071] Specifically, the data acquisition module is the front end of the intelligent control system, responsible for collecting key environmental data in the working space. The module is integrated with carbon dioxide sensors and personnel counting sensors for real-time monitoring. The sensors read the carbon dioxide concentration and the number of people in the working space in real time, and transmit the collected data to the ventilation demand assessment module for processing.

[0072] The ventilation demand assessment module calculates the ventilation demand index based on the data provided by the data acquisition module to determine the required ventilation volume. It receives the data of the current carbon dioxide concentration and the number of people, and uses a predetermined algorithm or model to calculate the ventilation demand index based on the carbon dioxide concentration and the number of people. For example, it can be a formula or algorithm that takes into account how much ventilation volume needs to be increased for each increase in a certain number of carbon dioxide concentrations or people, and outputs a ventilation demand index that reflects the amount of air volume required to maintain indoor air quality.

[0073] The instruction generation module generates corresponding control instructions according to the ventilation demand index output by the ventilation demand assessment module. It obtains the ventilation demand index calculated by the ventilation demand assessment module and generates instructions for adjusting the fan speed according to the ventilation demand index. If the ventilation demand is high, the instruction may require the fan to run at high speed; if the demand is low, the instruction may require the fan to run at low speed. At the same time, according to the fan speed and expected working efficiency, an energy consumption demand instruction is generated to guide the power management system on how to allocate electrical energy to the fan. The speed control instruction is sent to the speed regulating device, and the energy consumption demand instruction is sent to the power management system.

[0074] Through the coordinated work of these three modules, the intelligent control system can ensure that the ventilation device automatically adjusts the air volume according to actual demand, while optimizing the use of electricity, achieving a balance between energy saving and maintaining indoor air quality.

[0075] Furthermore, the data acquisition module includes:

[0076] Carbon dioxide sensor, used to monitor the carbon dioxide concentration in the working space air in real time;

[0077] The camera module is used to monitor the environmental image of the working space in real time and perform image recognition on the environmental image to obtain the number of people.

[0078] Specifically, the carbon dioxide sensor uses non-dispersive infrared (NDIR) technology to determine the concentration of CO2 molecules by measuring their absorption of infrared light of a specific wavelength. The sensor works continuously to read the CO2 concentration in the air at fixed time intervals (such as every second or every minute) and transmits the measured CO2 concentration data to other parts of the intelligent control system, such as the ventilation demand assessment module.

[0079] The camera module captures real-time images of the working space at a certain frame rate (such as 30 frames per second). The collected images are sent to the image processing unit, which may include a hardware accelerator or a dedicated image processing chip. The image processing unit uses computer vision algorithms, such as face recognition, human contour recognition or deep learning models, to analyze images and identify human bodies. Through the image recognition results, the system can count the number of people in the current working space. The data on the number of people is also transmitted to other parts of the intelligent control system for ventilation demand assessment.

[0080] The CO2 sensor and camera module in the data acquisition module collect data independently, but their data outputs complement each other and provide decision-making basis for the ventilation demand assessment module. For example, if the CO2 sensor detects an increase in CO2 concentration and the camera module simultaneously identifies an increase in the number of people, the ventilation demand assessment module may determine that the ventilation volume needs to be increased to maintain indoor air quality. Through this integrated and collaborative approach, the data acquisition module can provide comprehensive environmental monitoring data to the intelligent control system, thereby achieving more accurate ventilation control.

[0081] Furthermore, the ventilation demand assessment module includes:

[0082] A first calculation unit is used to calculate the difference between the current CO2 concentration and the safety threshold; wherein, C_excess=C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold;

[0083] The second calculation unit is used to calculate the total fresh air demand according to the number of personnel and the per capita fresh air demand; wherein V_total=N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand;

[0084] The third calculation unit is used to generate a ventilation demand index according to the C_excess and V_total; wherein, if C<=C_threshold, VDI=0, indicating that no additional ventilation is required; if C>C_threshold, VDI=C_excess / C_threshold*V_total, indicating that the ventilation volume needs to be increased; VDI is the ventilation demand index.

[0085] Furthermore, the power management system comprises:

[0086] A speed determination module, used to determine the fan speed according to the ventilation demand index;

[0087] 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;

[0088] An electric energy distribution module is used to distribute electric energy to the fan according to the power consumption.

[0089] Specifically, the speed determination module obtains the ventilation demand index calculated by the ventilation demand assessment module, and determines the optimal speed at which the fan should run according to the size of the ventilation demand index and the preset speed range. For example, if the ventilation demand is high, a higher speed is selected; if the demand is low, a lower speed is selected.

[0090] The energy consumption determination module calculates the power consumption of the fan according to the fan speed and the preset speed-power relationship model. The speed-power relationship model is a mathematical model based on the fan characteristics, which describes the relationship between the fan speed and power consumption. The model is usually obtained by fitting experimental data and can be a linear relationship, a polynomial relationship or other complex functions. Substitute the fan speed provided by the speed determination module into the speed-power relationship model to calculate the corresponding fan power consumption.

[0091] The power distribution module obtains the power consumption information provided by the energy consumption determination module, and provides the appropriate amount of power to the fan according to the power consumption through the control logic in the power management system. This may involve adjusting the output voltage, current or frequency of the power supply, and optimizing the power distribution strategy to reduce unnecessary power consumption and achieve energy saving while ensuring the normal operation of the fan.

[0092] In the power management system, the speed determination module, energy consumption determination module and power distribution module work together to form a closed-loop control system. When the ventilation demand changes, the speed determination module adjusts the fan speed, the energy consumption determination module calculates the new power consumption, and the power distribution module optimizes the power supply based on the power consumption. This collaborative work ensures that the fan can operate efficiently and energy-savingly while meeting the ventilation demand.

[0093] See also Figure 2 Another embodiment of the present invention further provides an energy-saving small space ventilation method, which is implemented based on the device of the above embodiment and includes the following steps:

[0094] Step S10, the intelligent control system monitors the environmental parameters of the working space in real time, generates a speed control instruction and an energy consumption demand instruction according to the environmental parameters, sends the speed control instruction to the speed regulation module, and sends the energy consumption demand instruction to the power management system;

[0095] Step S20, the fan generates airflow to achieve air movement;

[0096] Step S30, the speed regulating module adjusts the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume;

[0097] Step S40: The power management system reasonably allocates electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

[0098] Furthermore, the step S10 includes:

[0099] Step S101, collecting the current carbon dioxide concentration and number of people in the working space;

[0100] Step S102, calculating a ventilation demand index according to the current carbon dioxide concentration and the number of people;

[0101] Step S103: generating a speed control instruction and an energy consumption demand instruction according to the ventilation demand index.

[0102] Furthermore, the step S101 includes:

[0103] The carbon dioxide sensor monitors the carbon dioxide concentration in the working space air in real time;

[0104] The camera module monitors the environmental image of the working space in real time, and performs image recognition on the environmental image to obtain the number of personnel.

[0105] Further, the calculating of the ventilation demand index according to the current carbon dioxide concentration and the number of personnel includes:

[0106] Calculate the difference between the current CO2 concentration and the safety threshold; where C_excess = C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold;

[0107] Calculate the total fresh air demand based on the number of personnel and the per capita fresh air demand; wherein V_total = N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand;

[0108] Generate a ventilation demand index based on C_excess and V_total; if C<=

[0109] C_threshold, then VDI = 0, indicating that no additional ventilation is required; if C>C_threshold, then VDI = C_excess / C_threshold*V_total, indicating that the ventilation volume needs to be increased; VDI is the ventilation demand index.

[0110] Furthermore, the step S40 includes:

[0111] determining a fan speed according to the ventilation demand index;

[0112] The power consumption is obtained according to the fan speed and a preset speed-power consumption relationship model; the speed-power consumption relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan;

[0113] Electric energy is allocated to the fan according to the power consumption.

[0114] 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.

[0115] 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 energy-saving small space ventilation device, characterized in that: include: An intelligent control system, for real-time monitoring of environmental parameters of the working space, generating speed control instructions and energy consumption demand instructions according to the environmental parameters, sending the speed control instructions to the speed regulating device, and sending the energy consumption demand instructions to the power management system; Fan, used to generate airflow and achieve air movement; A speed regulating device, used to adjust the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume; The power management system is used to reasonably allocate electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

2. The energy-saving small space ventilation device according to claim 1 is also characterized in that: The intelligent control system comprises: Data collection module, used to collect the current carbon dioxide concentration and number of people in the working space; A ventilation demand assessment module, used for calculating a ventilation demand index according to the current carbon dioxide concentration and the number of people; The instruction generation module is used to generate a speed control instruction and an energy consumption demand instruction according to the ventilation demand index.

3. The energy-saving small space ventilation device according to claim 2 is also characterized in that: The data acquisition module comprises: Carbon dioxide sensor, used to monitor the carbon dioxide concentration in the working space air in real time; The camera module is used to monitor the environmental image of the working space in real time and perform image recognition on the environmental image to obtain the number of people.

4. The energy-saving small space ventilation device according to claim 2 is also characterized in that: The ventilation demand assessment module comprises: A first calculation unit is used to calculate the difference between the current CO2 concentration and the safety threshold; wherein, C_excess=C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold; The second calculation unit is used to calculate the total fresh air demand according to the number of personnel and the per capita fresh air demand; wherein V_total=N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand; The third calculation unit is used to generate a ventilation demand index according to the C_excess and V_total; wherein, if C<=C_threshold, VDI=0, indicating that no additional ventilation is required; if C>C_threshold, VDI=C_excess / C_threshold*V_total, indicating that the ventilation volume needs to be increased; VDI is the ventilation demand index.

5. The energy-saving small space ventilation device according to claim 2 is also characterized in that: The power management system comprises: A speed determination module, used to determine the fan speed according to the ventilation demand index; 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; An electric energy distribution module is used to distribute electric energy to the fan according to the power consumption.

6. An energy-saving small space ventilation method, characterized in that: include: The intelligent control system monitors the environmental parameters of the working space in real time, generates a speed control instruction and an energy consumption demand instruction according to the environmental parameters, sends the speed control instruction to the speed regulation module, and sends the energy consumption demand instruction to the power management system; The fan generates airflow to move the air; The speed regulating module adjusts the speed of the fan according to the speed regulating control instruction, thereby controlling the air volume; The power management system reasonably allocates electric energy to the fan according to the energy consumption demand instruction to achieve energy saving.

7. The energy-saving small space ventilation method according to claim 6 is further characterized in that: The intelligent control system monitors the environmental parameters of the working space in real time, and generates speed control instructions and energy consumption demand instructions according to the environmental parameters, including: Collect the current carbon dioxide concentration and number of people in the working space; Calculating a ventilation demand index based on the current carbon dioxide concentration and the number of people; A speed control instruction and an energy consumption demand instruction are generated according to the ventilation demand index.

8. The energy-saving small space ventilation method according to claim 7 is further characterized in that: The current carbon dioxide concentration and number of personnel in the collection operation space include: The carbon dioxide sensor monitors the carbon dioxide concentration in the working space air in real time; The camera module monitors the environmental image of the working space in real time, and performs image recognition on the environmental image to obtain the number of personnel.

9. The energy-saving small space ventilation method according to claim 7 is further characterized in that: The calculating of the ventilation demand index according to the current carbon dioxide concentration and the number of personnel includes: Calculate the difference between the current CO2 concentration and the safety threshold; where C_excess = C-C_threshold, C_excess is the difference, C is the current CO2 concentration, and C_threshold is the safety threshold; Calculate the total fresh air demand based on the number of personnel and the per capita fresh air demand; wherein V_total = N*V_person, V_total is the total fresh air demand, N is the number of personnel, and V_person is the known per capita fresh air demand; A ventilation demand index is generated according to C_excess and V_total; wherein, if C<=C_threshold, VDI=0, indicating that no additional ventilation is required; if C>C_threshold, VDI=C_excess / C_threshold*V_total, indicating that an increased ventilation volume is required; VDI is the ventilation demand index.

10. The energy-saving small space ventilation method according to claim 7, further characterized in that: The power management system reasonably allocates electric energy to the fan according to the energy consumption demand instruction to achieve energy saving, including: determining a fan speed according to the ventilation demand index; The power consumption is obtained according to the fan speed and a preset speed-power consumption relationship model; the speed-power consumption relationship model is a relationship model between the fan speed and the fan power consumption established according to the characteristics of the fan; Electric energy is allocated to the fan according to the power consumption.

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