Intelligent ventilation system based on high-torque motor and control method thereof

Abstract

This invention discloses an intelligent ventilation system and its control method based on a high-torque motor, solving technical problems such as insufficient heat dissipation, complex assembly, and poor sealing in existing technologies. The rotor assembly adopts an integral cast housing combined with polymer-bonded magnets, significantly improving structural strength and heat dissipation efficiency. The stator assembly features an innovative multi-slot winding design and a double-sealing structure, balancing high power density and long service life. The matching shaftless fan system achieves quick installation through a clamp structure, avoiding the complexity and safety hazards of traditional threaded connections. Furthermore, by introducing intelligent control and IoT technology, the ventilation system can adaptively adjust its operating mode according to changes in the surrounding environment or user needs, achieving healthy, safe, and hygienic ventilation. This invention is applicable to exhaust fans, fans, air purification equipment, and other fields, and features high efficiency, reliability, and ease of maintenance.

Description

Technical Field

[0001] This invention relates to the technical field of ventilation systems and intelligent control, and in particular to an intelligent ventilation system based on a high-torque motor and its control method. Background Technology

[0002] With the continuous advancement of science and technology and the improvement of living standards, ventilation equipment has been widely used in recent years. Ventilation equipment introduces fresh air, improving user comfort.

[0003] Existing ventilation systems suffer from technical problems such as insufficient heat dissipation, complex assembly, and poor sealing. Furthermore, users in different indoor spaces may have different ventilation needs, so a uniform ventilation system cannot meet these diverse requirements. In addition, how to achieve reliable and precise control of the ventilation system under different environments is also a problem that needs to be solved. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and propose an intelligent ventilation system and its control method based on a high-torque motor. Through innovative structural design and material application, it solves technical problems such as insufficient heat dissipation, complex assembly, and poor sealing found in existing technologies. The rotor assembly uses an integral cast housing combined with polymer-bonded permanent magnets, significantly improving structural strength and heat dissipation efficiency. The stator assembly features an innovative multi-slot winding design and a double-sealing structure, balancing high power density and long-life operation requirements. The matching ventilation actuator uses a clamp structure for quick installation, avoiding the complexity and safety hazards of traditional threaded connections. Furthermore, by introducing intelligent control and IoT technology, the ventilation system adaptively adjusts its operating mode according to changes in the surrounding environment or user needs, achieving healthy, safe, and hygienic ventilation.

[0005] The objective of this invention is achieved through the following technical solution: an intelligent ventilation system based on a high-torque motor, characterized in that it comprises:

[0006] A high-torque motor, comprising a stator assembly and a rotor assembly; wherein the rotor assembly includes a housing and a permanent magnet assembly fixed to the inner wall of the housing by a polymer adhesive, the outer wall of the housing is evenly distributed with heat dissipation fins, the stator assembly includes an iron core, the outer circumferential surface of the iron core is provided with a plurality of winding slots, the winding slots are provided with three-phase enameled wire windings, and both ends of the iron core are fixed with non-magnetic end caps; a double sealing structure is provided between the stator assembly and the rotor assembly, the double sealing structure includes a radial O-ring seal and an axial labyrinth dustproof baffle, the axial labyrinth dustproof baffle is integrally formed with the housing, the height of the axial labyrinth dustproof baffle is a preset value, and the axial labyrinth dustproof baffle has a preset angle with the housing;

[0007] A multimodal sensor array, which is communicatively connected to an intelligent controller, includes a temperature and humidity sensor, a PM2.5 sensor, a CO2 sensor, and a Hall effect speed sensor, used to collect real-time environmental information of the surrounding environment of the intelligent ventilation system.

[0008] The intelligent controller integrates a multi-modal fusion intelligent control algorithm and is remotely connected to the high-torque motor via a wireless communication protocol;

[0009] The ventilation actuator is detachably connected to a high-torque motor via a clamp structure, and is used to achieve rapid ventilation, air exchange, and air supply.

[0010] The IP protection level of the intelligent ventilation system based on the high torque motor is not less than IP11.

[0011] Furthermore, the intelligent ventilation system includes:

[0012] A safety protection circuit is electrically connected to the high-torque motor and integrates an over-temperature cutoff module, an overload current limiting module, and a reverse connection protection module to provide safety protection for the intelligent ventilation system.

[0013] An adaptive speed control mechanism is communicatively connected to a high-torque motor and achieves closed-loop dynamic speed control of the high-torque motor through intelligent control algorithms and environmental information in an intelligent controller.

[0014] Furthermore, the adaptive speed control mechanism includes a fuzzy logic controller, a dynamic torque compensation module, and an energy recovery unit; the fuzzy logic controller is communicatively connected to the high-torque motor and is used to handle speed regulation under nonlinear operating conditions; the dynamic torque compensation module compensates for load fluctuations in real time through a preset current loop; the energy recovery unit uses the high-torque motor to generate electricity through regenerative braking to power the multimodal sensor array.

[0015] Furthermore, in the high-torque motor, the iron core is a hollow cylindrical iron core, and the outer circumferential surface of the iron core is provided with N winding slots, where N≥2. The winding slots adopt a trapezoidal opening design. The non-magnetic end cap is fixedly connected to the iron core by die casting. The heat dissipation fins extend along the axial direction of the housing, and their cross-section is trapezoidal. An airflow channel of preset width is formed between adjacent heat dissipation fins. The permanent magnet assembly is composed of several arc-shaped samarium cobalt magnets spliced ​​together, and the gaps between the arc-shaped samarium cobalt magnets are filled with epoxy resin. The resin is filled and fixed; the inner side of the non-magnetic end cap is provided with an annular groove, and a graphite bearing cage is embedded in the annular groove; the rear end of the housing is provided with a flange mounting plate, and the flange mounting plate is evenly distributed with N mounting holes, where N is a constant; a stress relief groove is provided at the connection between the flange mounting plate and the housing, and the depth of the stress relief groove is 1 / M of the thickness of the flange mounting plate, where M is a constant; the three-phase enameled wire winding is provided with lead wires, and the lead wires are led out through a waterproof joint pre-set on the side wall of the housing.

[0016] Furthermore, in the ventilation execution unit, the ventilation execution unit includes an impeller assembly, which is detachably connected to the high-torque motor via a clamp structure. The impeller assembly includes carbon fiber blades, an aluminum alloy hub, and a dynamic balancing ring. The inner surface of the aluminum alloy hub is provided with an annular positioning groove that matches the outer diameter of the high-torque motor housing. The root of the carbon fiber blades is integrally connected to the aluminum alloy hub. The dynamic balancing ring is installed on the outer end of the aluminum alloy hub via an interference fit. The clamp structure includes a stainless steel clamp and an elastic damping pad disposed in the stainless steel clamp. The inner diameter of the stainless steel clamp is smaller than the outer diameter of the high-torque motor housing.

[0017] Furthermore, the multimodal sensor array adopts a modular design, with each individual sensor having a connection interface for separate connection to an intelligent controller, used to sense surrounding environmental information, and to implement early warning and alarm when the surrounding information is abnormal; among them, the built-in sensors include temperature and humidity sensors, PM2.5 sensors, CO2 sensors, Hall effect speed sensors, image sensors, infrared sensors, and electromagnetic sensors.

[0018] Furthermore, in the intelligent controller, the multimodal fusion intelligent control algorithm includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. The fixed-mode intelligent control algorithm suppresses integral term overflow through an anti-integral saturation mechanism and optimizes the stability of the differential term through noise filtering, thereby improving the dynamic response accuracy and robustness of the high-torque motor under load changes or disturbances. The embedded AI model intelligent control algorithm suppresses multimodal sensor noise through Kalman filtering, extracts cross-modal features using Transformer, and generates a dynamic control strategy by combining PPO reinforcement learning. By updating the current state estimate in real time, the control strategy is dynamically adjusted to achieve intelligent response.

[0019] A control method for the intelligent ventilation system based on the high-torque motor is provided. This method integrates a multi-modal fusion intelligent control algorithm into the intelligent controller of the intelligent ventilation system. The intelligent control algorithm includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. The fixed-mode intelligent control algorithm is used to change the working mode of the intelligent ventilation system according to different functional requirements. The embedded AI model intelligent control algorithm is used to coordinate and control the intelligent ventilation system to perceive the surrounding environment in real time, and finally realizes the intelligent control of the intelligent ventilation system.

[0020] Furthermore, a fixed-mode intelligent control algorithm is used to change the operating mode of the intelligent ventilation system according to different functional requirements. The fixed-mode intelligent control algorithm includes the following steps:

[0021] S101. Obtain the set target value and actual operating value of the high torque motor, and calculate the error value between the set target value and the actual operating value;

[0022] S102. Based on the error value, a control quantity is generated by a proportional-integral-derivative controller;

[0023] S103. The outputs of the proportional term, integral term and derivative term are superimposed to form a total control quantity to drive the high torque motor actuator.

[0024] S104. Real-time acquisition of operating status data of high torque motor, dynamic adjustment of proportional, integral and derivative parameters to achieve closed-loop feedback control;

[0025] The intelligent control algorithm using an embedded AI model coordinates and controls the intelligent ventilation system to perceive the surrounding environment in real time. The embedded AI model intelligent control algorithm includes the following steps:

[0026] S201, Data Acquisition Module, acquires multimodal sensor data in real time;

[0027] S202. Perform Kalman filtering preprocessing on the acquired multimodal sensing data to suppress noise in the data;

[0028] S203. Based on Transformer, feature fusion is performed on the preprocessed multimodal sensing data, and a multi-head attention mechanism is used to calculate cross-modal association weights in order to obtain the intrinsic relationship between multimodalities.

[0029] S204. Based on the multimodal sensing data after feature fusion, generate control strategies using reinforcement learning;

[0030] S205. Execute the control strategy and dynamically adjust the control strategy by updating the current state estimate in real time to achieve intelligent response.

[0031] A shaftless fan includes the aforementioned intelligent ventilation system based on a high-torque motor.

[0032] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0033] 1. The intelligent ventilation system of the present invention adopts an integrated casing plus heat dissipation fins design, which has higher heat dissipation efficiency compared with the existing split ventilation system;

[0034] 2. The high-torque motor of the present invention adopts a multi-slot winding design, which, compared with the conventional motor winding design, reduces copper losses while increasing torque output;

[0035] 3. Compared with the single-seal design of existing ventilation systems, the double-seal structure of this invention significantly improves waterproof performance;

[0036] 4. The high-torque motor permanent magnet of the present invention adopts a polymer bonding process to replace the traditional mechanical fixation, reducing the processing steps in the production process. The modular end cover design of the stator assembly can shorten the assembly cycle, and the integrated design of the impeller assembly can reduce the assembly defect rate.

[0037] 5. The winding groove of the present invention adopts a trapezoidal opening design, which can reduce the cogging torque;

[0038] 6. In the high torque motor of the present invention, an annular groove is provided on the inner side of the non-magnetic end cover, and a graphite bearing cage is embedded in the annular groove, which can extend the service life.

[0039] 7. The ventilation actuator of the present invention forms a detachable connection with the high torque motor through a clamp structure, which can realize quick assembly and disassembly, avoiding the complexity and safety hazards of traditional threaded connections.

[0040] 8. The intelligent ventilation system control method disclosed in this invention can meet different ventilation needs; in addition, it can reliably and accurately control the ventilation system in different environments, allowing the ventilation system to adaptively adjust its working mode according to changes in the surrounding environment or user needs, so as to achieve healthy, safe and hygienic ventilation. Attached Figure Description

[0041] Figure 1 This is a structural breakdown diagram of a high-torque motor.

[0042] Figure 2 This is a schematic diagram of a high-torque motor.

[0043] Figure 3 This is a schematic diagram of a double-sealed structure. Detailed Implementation

[0044] The present invention will be further described below with reference to specific embodiments.

[0045] Example 1

[0046] The intelligent ventilation system based on a high-torque motor provided in this embodiment includes:

[0047] 1) High torque motor, see Figures 1 to 3 As shown, the high-torque motor includes a stator assembly and a rotor assembly. The rotor assembly includes a housing 202 and a permanent magnet assembly 201 fixed to the inner wall of the housing 202 by a polymer adhesive. The outer wall of the housing 202 is evenly distributed with heat dissipation fins 2021. The stator assembly includes an iron core 101. The outer circumferential surface of the iron core 101 is provided with a plurality of winding slots 103. Three-phase enameled wire windings are provided in the winding slots 103. Non-magnetic end caps 102 are fixed at both ends of the iron core 101. A double sealing structure 3 is provided between the stator assembly and the rotor assembly. The double sealing structure 3 includes a radial O-ring seal 301 and an axial labyrinth dustproof baffle 302. The axial labyrinth dustproof baffle 302 is integrally formed with the housing 202. The height of the axial labyrinth dustproof baffle 302 is 5mm, and the axial labyrinth dustproof baffle 302 has a 15° angle with the housing 202.

[0048] In the high-torque motor, the iron core 101 is a hollow cylindrical iron core, the winding slot 103 adopts a trapezoidal opening design with a slot width of 1.2mm and a slot depth of 15mm, and the non-magnetic end cap 102 is fixedly connected to the iron core 101 by die casting; the heat dissipation fins 2021 extend along the axial direction of the housing, and their cross-section is trapezoidal, forming a 3mm wide airflow channel between adjacent heat dissipation fins 2021; the permanent magnet assembly 201 is composed of 24 arc-shaped samarium cobalt magnets spliced ​​together, and the gaps between the 24 arc-shaped samarium cobalt magnets are filled and fixed with epoxy resin. The non-magnetic end cap 102 has an annular groove 1021 on its inner side, and a graphite bearing cage is embedded in the annular groove 1021; the rear end of the housing 202 has a flange mounting plate with 6 M8 mounting holes evenly distributed on the flange mounting plate; a stress relief groove is provided at the connection between the flange mounting plate and the housing, and the depth of the stress relief groove is 1 / 3 of the thickness of the flange mounting plate; the three-phase enameled wire winding has lead wires, and the lead wires are led out through a waterproof connector preset on the side wall of the housing; the IP protection level of the intelligent ventilation system of the high torque motor is IP68.

[0049] 2) Multimodal sensor array, which is communicatively connected to the intelligent controller. It adopts a modular design, with each individual sensor having a connection interface that the intelligent controller connects to individually. It is used to sense the surrounding environmental information and to issue early warnings and alarms when the surrounding information is abnormal. The built-in sensors include temperature and humidity sensors, PM2.5 sensors, CO2 sensors, Hall effect speed sensors, image sensors, infrared sensors, and electromagnetic sensors.

[0050] 3) Intelligent controller: The intelligent controller integrates a multimodal fusion intelligent control algorithm and is remotely connected to the high-torque motor via a wireless communication protocol. The multimodal fusion intelligent control algorithm in the intelligent controller includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. Specifically, the fixed-mode intelligent control algorithm suppresses integral term overflow through an anti-integral saturation mechanism and optimizes the stability of the differential term through noise filtering, thereby improving the dynamic response accuracy and robustness of the high-torque motor under load changes or disturbances. The embedded AI model intelligent control algorithm suppresses multimodal sensor noise through Kalman filtering, extracts cross-modal features using Transformer, and generates a dynamic control strategy by combining PPO reinforcement learning. It dynamically adjusts the control strategy by updating the current state estimate in real time, achieving intelligent response.

[0051] 4) Ventilation actuator: The ventilation actuator is detachably connected to the high-torque motor via a clamp structure for rapid ventilation, air exchange, and air supply. The ventilation actuator includes an impeller assembly, which is detachably connected to the high-torque motor via a clamp structure. The impeller assembly includes carbon fiber blades, an aluminum alloy hub, and a dynamic balancing ring. The inner surface of the aluminum alloy hub has an annular positioning groove matching the outer diameter of the high-torque motor housing. The roots of the carbon fiber blades are integrally connected to the aluminum alloy hub. The dynamic balancing ring is installed at the outer end of the aluminum alloy hub via an interference fit. The carbon fiber blades, aluminum alloy hub, and dynamic balancing ring form an integrated design. The clamp structure includes a stainless steel clamp and elastic damping pads disposed within the stainless steel clamp. The inner diameter of the stainless steel clamp is 0.3 mm smaller than the outer diameter of the high-torque motor housing.

[0052] In addition, the ventilation actuator can be configured with: a stepless angle-adjusting blade mechanism for adjusting the angle of the carbon fiber blades from 0 to 90° with an adjustment accuracy of less than 0.1°; an ultrasonic atomization module with integrated nano-level atomizing plates for humidification; and a germicidal lamp assembly including ultraviolet light, photocatalysis, ozone, and plasma for air purification.

[0053] 5) Safety protection circuit: The safety protection circuit is electrically connected to the high torque motor and integrates an over-temperature cut-off module, an overload current limiting module, and a reverse connection protection module to provide safety protection for the intelligent ventilation system.

[0054] 6) An adaptive speed control mechanism, which is communicatively connected to the high-torque motor and achieves closed-loop dynamic speed control of the high-torque motor through intelligent control algorithms and environmental information in the intelligent controller; the adaptive speed control mechanism includes a fuzzy logic controller, a dynamic torque compensation module, and an energy recovery unit; the fuzzy logic controller is communicatively connected to the high-torque motor and is used to handle speed regulation under nonlinear operating conditions; the dynamic torque compensation module compensates for load fluctuations in real time through a preset current loop; the energy recovery unit uses the regenerative braking power generation of the high-torque motor to power the multi-modal sensor array.

[0055] Example 2

[0056] The intelligent exhaust fan provided in this embodiment includes the intelligent ventilation system described in Embodiment 1, and further includes:

[0057] The integrated building support system adopts pre-embedded installation and includes:

[0058] The seismic and noise-reducing bearing is equipped with a rubber-metal composite vibration isolation pad, with a vibration attenuation rate of >85%.

[0059] Wall coupling sensors are used to monitor changes in wall stress and prevent resonance.

[0060] The smart gateway interface supports the Modbus TCP / RTU protocol and is compatible with building automation systems.

[0061] Emergency power supply interface, DC 24V backup power input, continuous operation for ≥2 hours after power failure.

[0062] Example 3

[0063] The intelligent electric fan provided in this embodiment includes the intelligent ventilation system described in Embodiment 1, and further includes:

[0064] 1) Human comfort perception system:

[0065] Infrared pyroelectric arrays are used to detect the temperature of human activity areas and body surface.

[0066] An ultrasonic anemometer with a resolution of 0.1 m / s for three-dimensional wind field scanning.

[0067] 2) Personalized air supply modes:

[0068] Airflow guide blades dynamically adjust the airflow direction via a stepper motor.

[0069] The wind speed gradual change algorithm, integrated into the intelligent controller, avoids direct airflow onto the human body, thus preventing discomfort.

[0070] 3) Ecosystem interconnection function:

[0071] Home security system linkage, used to automatically switch to smoke exhaust mode when smoke is detected.

[0072] Health data sharing: Air quality reports are pushed to mobile phones via Bluetooth 5.2.

[0073] Example 4

[0074] This embodiment provides a control method for an intelligent ventilation system based on a high-torque motor as described in Embodiment 1. The method integrates a multi-modal fusion intelligent control algorithm into an intelligent controller. The intelligent control algorithm includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. The fixed-mode intelligent control algorithm is used to change the working mode of the intelligent ventilation system according to different functional requirements. The embedded AI model intelligent control algorithm is used to coordinate and control the intelligent ventilation system to perceive the surrounding environment in real time, and finally realizes intelligent control of the intelligent ventilation system.

[0075] 1) Using a fixed-mode intelligent control algorithm and changing the operating mode of the intelligent ventilation system according to different functional requirements, the fixed-mode intelligent control algorithm includes the following steps:

[0076] S101. Obtain the set target value SP and the actual operating value PV of the high torque motor, and calculate the error value e(t) = SP - PV between the set target value and the actual operating value.

[0077] S102. Based on the error value e(t), a control quantity is generated through a proportional-integral-derivative controller;

[0078] Proportional output: P out =K p ·e(t);

[0079] Integral term output: I out (k)=I out (k-1)+K i ·e(k), and set a limiting threshold for the integral term;

[0080] Differential term output: The error signal is then low-pass filtered.

[0081] S103. The outputs of the proportional, integral, and derivative terms are superimposed to form the total control quantity u(t), which drives the high-torque motor actuator.

[0082] S104. Real-time acquisition of operating status data of high-torque motors, and dynamic adjustment of proportional K. p Integral K i and differential K d Parameters are used to achieve closed-loop feedback control.

[0083] The dynamic response optimization of the external rotor motor includes:

[0084] (1) When the motor inertia is large, increase the proportional coefficient Kp and decrease the derivative coefficient Kd;

[0085] (2) Enable feedforward compensation term u in load change scenarios. feedforward =K f SP is added to the total control quantity u(t).

[0086] The closed-loop feedback control adopts a multi-loop nested structure, including:

[0087] The current loop is based on PID control of the motor phase current and outputs torque commands.

[0088] The speed loop is based on PID control to adjust the speed, with the current loop as the input.

[0089] The position loop adjusts the rotation angle based on PID control, with the speed loop output as the input.

[0090] 2) The embedded AI model intelligent control algorithm is used to coordinate and control the intelligent ventilation system to perceive the surrounding environment in real time. The embedded AI model intelligent control algorithm includes the following steps:

[0091] S201, Data Acquisition Module, acquires multimodal sensor data T', H', C in real time. pm2.5 C co2 C voc ,S ir A voice G gesture ,ω motor ,L filter ,P sys ;

[0092] Where: T' is ambient temperature, H' is humidity, and C pm2.5 For PM2.5 concentration, C co2 C represents the carbon dioxide concentration. voc The concentration of volatile organic compounds; S ir Human infrared signal, A voice For voice commands, G gesture For gesture trajectory; ω motor L is the motor speed. filter For filter life, P sys This refers to the system's energy consumption.

[0093] S202. Perform Kalman filtering preprocessing on the acquired multimodal sensing data to suppress noise in the data. Establish a multimodal preprocessing unit and perform the following operations:

[0094]

[0095] In the formula, It is the state estimate at time k. It is a priori estimation, K k It is the Kalman gain, z k This is the current measurement value, H. k It is the observation matrix.

[0096] Where: K k The Kalman gain matrix is ​​calculated using the following recursive formula:

[0097]

[0098] P k|k-1 To predict the covariance matrix; R k H is the observation noise covariance matrix; H is the state matrix, which represents the joint feature representation across modalities in multimodal fusion, such as the fusion of text, image, and sensor data; k is the dimension parameter, representing the k-th modality; T represents the transpose operation, used to adjust the tensor dimension to fit the computation.

[0099] S203. Based on Transformer, feature fusion is performed on the preprocessed multimodal sensing data. A multi-head attention mechanism is used to calculate cross-modal association weights to obtain the intrinsic relationships between multimodalities. A feature fusion module is established and the following operations are performed:

[0100]

[0101] In the formula, Q, K, and V are the query, key, and value matrices, respectively, where K' represents the fusion weight matrix or covariance matrix, used for weighted fusion of multimodal features; d K K represents the feature dimension. T It is the transpose of matrix K, and is often used to adapt dimensions or to compute intermodal interactions in attention mechanisms, such as query and key-value pair matching in cross-modal attention.

[0102] S204. Based on the multimodal sensing data after feature fusion, generate control strategies using reinforcement learning, establish a decision-making module, and perform the following operations:

[0103]

[0104] In the formula, r t (θ) is the reward function; E is the dominance function; ∈ is the cutoff coefficient; clip() truncates the input values ​​to prevent numerical overflow or overfitting in multimodal fusion; t[] represents the set of embedding vectors for the t-th modality. For example, E0[] stores the embeddings of the text modality, and E1[] stores the embeddings of the visual modality. These are used for subsequent multimodal fusion, such as splicing, weighted summation, or cross attention. θ represents the angle.

[0105] S205. Establish a feedback module, execute the control strategy, dynamically adjust the control strategy by updating the current state estimate in real time, achieve intelligent response, and perform the following operations:

[0106]

[0107] Where: P motor C represents the motor power. filter λ represents the filter element wear cost, λ is the weighting coefficient, u is the voltage, and t is the time.

[0108] Example 5

[0109] This embodiment discloses a non-transitory computer-readable medium storing instructions that, when executed by a processor, perform the steps of the time-sector-based wind turbine pitch bearing lubrication control method according to Embodiment 4.

[0110] In this embodiment, the non-transitory computer-readable medium can be a disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), USB flash drive, portable hard drive, etc.

[0111] Example 6

[0112] This embodiment discloses a computing device, including a processor and a memory for storing processor-executable programs. When the processor executes the program stored in the memory, it implements the time sector-based wind turbine pitch bearing lubrication control method described in Embodiment 4.

[0113] The computing device described in this embodiment may be a desktop computer, laptop computer, smartphone, PDA handheld terminal, tablet computer, programmable logic controller (PLC), or other terminal device with processor function.

[0114] The above-described embodiments are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Therefore, any changes made in accordance with the shape and principle of the present invention should be covered within the protection scope of the present invention.

Claims

1. An intelligent ventilation system based on a high-torque motor, characterized in that, include: A high-torque motor, comprising a stator assembly and a rotor assembly; wherein the rotor assembly includes a housing and a permanent magnet assembly fixed to the inner wall of the housing by a polymer adhesive, the outer wall of the housing is evenly distributed with heat dissipation fins, the stator assembly includes an iron core, the outer circumferential surface of the iron core is provided with a plurality of winding slots, the winding slots are provided with three-phase enameled wire windings, and both ends of the iron core are fixed with non-magnetic end caps; a double sealing structure is provided between the stator assembly and the rotor assembly, the double sealing structure includes a radial O-ring seal and an axial labyrinth dustproof baffle, the axial labyrinth dustproof baffle is integrally formed with the housing, the height of the axial labyrinth dustproof baffle is a preset value, and the axial labyrinth dustproof baffle has a preset angle with the housing; A multimodal sensor array, which is communicatively connected to an intelligent controller, includes a temperature and humidity sensor, a PM2.5 sensor, a CO2 sensor, and a Hall effect speed sensor, used to collect real-time environmental information of the surrounding environment of the intelligent ventilation system. The intelligent controller integrates a multimodal fusion intelligent control algorithm and is remotely connected to a high-torque motor via a wireless communication protocol. The multimodal fusion intelligent control algorithm includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. Specifically, the fixed-mode intelligent control algorithm suppresses integral term overflow through an anti-integral saturation mechanism and optimizes differential term stability through noise filtering, improving the dynamic response accuracy and robustness of the high-torque motor under load changes or disturbances. The embedded AI model intelligent control algorithm suppresses multimodal sensor noise through Kalman filtering, extracts cross-modal features using Transformer, and generates a dynamic control strategy by combining PPO reinforcement learning. It dynamically adjusts the control strategy by updating the current state estimate in real time, achieving intelligent response. A ventilation actuator unit is detachably connected to a high-torque motor via a clamp structure to achieve rapid ventilation, air exchange, and air supply. The ventilation actuator unit includes an impeller assembly, which is detachably connected to the high-torque motor via a clamp structure. The impeller assembly includes carbon fiber blades, an aluminum alloy hub, and a dynamic balancing ring. The inner surface of the aluminum alloy hub has an annular positioning groove matching the outer diameter of the high-torque motor's housing. The roots of the carbon fiber blades are integrally connected to the aluminum alloy hub. The dynamic balancing ring is installed at the outer end of the aluminum alloy hub via an interference fit. The carbon fiber blades, aluminum alloy hub, and dynamic balancing ring form an integrated design. The IP protection level of the intelligent ventilation system based on the high torque motor is not less than IP11.

2. The intelligent ventilation system based on a high-torque motor according to claim 1, characterized in that, include: A safety protection circuit is electrically connected to the high-torque motor and integrates an over-temperature cutoff module, an overload current limiting module, and a reverse connection protection module to provide safety protection for the intelligent ventilation system. An adaptive speed control mechanism is communicatively connected to a high-torque motor and achieves closed-loop dynamic speed control of the high-torque motor through intelligent control algorithms and environmental information in an intelligent controller.

3. The intelligent ventilation system based on a high-torque motor according to claim 2, characterized in that: The adaptive speed control mechanism includes a fuzzy logic controller, a dynamic torque compensation module, and an energy recovery unit. The fuzzy logic controller is communicatively connected to the high-torque motor and is used to handle speed regulation under nonlinear operating conditions; the dynamic torque compensation module compensates for load fluctuations in real time through a preset current loop; the energy recovery unit uses the high-torque motor to generate electricity through regenerative braking to power the multimodal sensor array.

4. The intelligent ventilation system based on a high-torque motor according to claim 1, characterized in that: In the high-torque motor, the iron core is a hollow cylindrical iron core, and the outer circumference of the iron core is provided with N winding slots, where N≥2. The winding slots adopt a trapezoidal opening design. The non-magnetic end cap is fixedly connected to the iron core by die casting. The heat dissipation fins extend along the axial direction of the housing, and their cross-section is trapezoidal. An air flow channel of preset width is formed between adjacent heat dissipation fins. The permanent magnet assembly is composed of several arc-shaped samarium cobalt magnets spliced ​​together. The gaps between the arc-shaped samarium cobalt magnets are filled and fixed with epoxy resin. The inner side of the non-magnetic end cap is provided with an annular groove, and a graphite bearing cage is embedded in the annular groove. The rear end of the housing is provided with a flange mounting plate, and the flange mounting plate is evenly distributed with N mounting holes, where N is a constant. A stress relief groove is provided at the connection between the flange mounting plate and the housing. The depth of the stress relief groove is 1 / M of the thickness of the flange mounting plate, where M is a constant. The three-phase enameled wire winding is provided with lead wires, which are led out through waterproof joints preset on the side wall of the housing.

5. The intelligent ventilation system based on a high-torque motor according to claim 1, characterized in that: The clamp structure includes a stainless steel clamp and an elastic shock-absorbing pad disposed in the stainless steel clamp. The inner diameter of the stainless steel clamp is smaller than the outer diameter of the housing of the high torque motor.

6. The intelligent ventilation system based on a high-torque motor according to claim 1, characterized in that: The multimodal sensor array adopts a modular design, with each individual sensor having a connection interface for separate connection to the intelligent controller. It is used to sense surrounding environmental information and to issue early warnings and alarms when the surrounding information is abnormal. The built-in sensors include temperature and humidity sensors, PM2.5 sensors, CO2 sensors, Hall effect speed sensors, image sensors, infrared sensors, and electromagnetic sensors.

7. A control method for an intelligent ventilation system based on a high-torque motor according to any one of claims 1-6, characterized in that: This method integrates a multimodal fusion intelligent control algorithm into the intelligent controller of an intelligent ventilation system. The intelligent control algorithm includes a fixed-mode intelligent control algorithm and an embedded AI model intelligent control algorithm. The fixed-mode intelligent control algorithm is used to change the working mode of the intelligent ventilation system according to different functional requirements. The embedded AI model intelligent control algorithm is used to coordinate and control the intelligent ventilation system to perceive the surrounding environment in real time, and finally realizes intelligent control of the intelligent ventilation system.

8. The control method for the intelligent ventilation system based on a high-torque motor according to claim 7, characterized in that: The fixed-mode intelligent control algorithm, which modifies the operating mode of the intelligent ventilation system according to different functional requirements, includes the following steps: S101. Obtain the set target value and actual operating value of the high torque motor, and calculate the error value between the set target value and the actual operating value; S102. Based on the error value, a control quantity is generated by a proportional-integral-derivative controller; S103. The outputs of the proportional term, integral term and derivative term are superimposed to form a total control quantity to drive the high torque motor actuator. S104. Real-time acquisition of operating status data of high torque motor, dynamic adjustment of proportional, integral and derivative parameters to achieve closed-loop feedback control; The intelligent control algorithm using an embedded AI model coordinates and controls the intelligent ventilation system to perceive the surrounding environment in real time. The embedded AI model intelligent control algorithm includes the following steps: S201, Data Acquisition Module, acquires multimodal sensor data in real time; S202. Perform Kalman filtering preprocessing on the acquired multimodal sensing data to suppress noise in the data; S203. Based on Transformer, feature fusion is performed on the preprocessed multimodal sensing data, and a multi-head attention mechanism is used to calculate cross-modal association weights in order to obtain the intrinsic relationship between multimodalities. S204. Based on the multimodal sensing data after feature fusion, generate control strategies using reinforcement learning; S205. Execute the control strategy and dynamically adjust the control strategy by updating the current state estimate in real time to achieve intelligent response.

9. A shaftless fan, characterized in that, Including the intelligent ventilation system based on a high-torque motor as described in any one of claims 1-6.

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