High-efficiency heat dissipation rod-shaped motor and temperature control method

Abstract

The present invention relates to the field of motor control and regulation technology, and specifically discloses an efficient heat dissipation rod-shaped motor, wherein temperature sensors are respectively installed on the stator, mover, linear guide rail and housing of the rod-shaped motor; the temperature sensor transmits the real-time detected temperature data to the main control unit through a signal transceiver, and the main control unit includes a central processing unit, a data storage device and a signal transceiver; a current sensor and a position feedback sensor are arranged in the rod-shaped motor; the current sensor and the position feedback sensor transmit the detected data to the main control unit through a signal transceiver, and the central processing unit calculates the real-time load of the rod-shaped motor according to the data; an instruction is sent to a heat dissipation device through the signal transceiver, and a variable speed fan in the air-cooled heat dissipation device adjusts the speed according to the instruction, and a cooling pump and a coolant flow regulating valve in the liquid-cooled heat dissipation device adjust the coolant flow according to the instruction. Through sensor data acquisition and intelligent heat dissipation control technology, efficient heat dissipation management of the motor can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of motor control and regulation, and in particular to a high-efficiency heat dissipation rod-shaped motor and a temperature control method. Background Art

[0002] As the demand for high-efficiency, high-power, and high-stability motors in the industrial field and consumer electronic products continues to increase, motor heat dissipation has become one of the key factors affecting its performance and long-term reliable operation. During the operation of the motor, due to factors such as increased power load and rising working environment temperature, the motor temperature often rises rapidly, which in turn affects the efficiency and service life of the motor, and may even cause damage or failure of the motor.

[0003] Traditional heat dissipation solutions mainly rely on natural cooling or simple air cooling systems, but these methods cannot meet the heat dissipation needs of high-power motors under long-term high-load conditions, causing the motor temperature to continue to rise or even overheat, which in turn affects the motor's working efficiency and shortens its service life. It may even cause the motor to fail and shut down, thus posing significant risks to production and operations.

[0004] Therefore, developing an efficient heat dissipation motor that can monitor and automatically adjust the heat dissipation system in real time has become an important topic in current research and engineering applications. Summary of the invention

[0005] In order to overcome the above-mentioned technical problems existing in the prior art, the embodiments of the present invention provide a high-efficiency heat dissipation rod-shaped motor and a temperature control method. Through precise sensor data acquisition and intelligent heat dissipation control technology, efficient heat dissipation management of the motor can be achieved. While ensuring the stability of the motor performance, the heat dissipation efficiency is improved, the service life of the motor is extended, and it adapts to complex and changeable working environments.

[0006] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides an efficient heat dissipation rod-shaped motor, including a temperature sensor, a main control unit, a current sensor and a position feedback sensor, an air-cooled heat dissipation device and a liquid-cooled heat dissipation device; the temperature sensors are respectively installed on the stator, the mover, the linear guide rail and the housing of the rod-shaped motor, and the temperature sensor is a high-precision, fast-response digital temperature sensor, which can detect the temperature of various parts inside the rod-shaped motor in real time; the temperature sensor transmits the real-time detected temperature data to the main control unit through a signal transceiver, and the main control unit includes a central processing unit, a data storage device and a signal transceiver; a current sensor and a position feedback sensor are arranged in the rod-shaped motor, the current sensor is used to detect the real-time current of the rod-shaped motor, and the position feedback sensor is used to detect the real-time position and moving speed of the rod-shaped motor. The current sensor and the position feedback sensor transmit the detected data to the main control unit through a signal transceiver, and the central processing unit calculates the real-time load of the rod-shaped motor based on these data; the central processing unit sends instructions to the heat dissipation device through the signal transceiver according to the calculation results of the intelligent heat dissipation control algorithm, the variable speed fan in the air-cooled heat dissipation device adjusts the speed according to the instructions, and the cooling pump and the coolant flow regulating valve in the liquid-cooled heat dissipation device adjust the coolant flow according to the instructions.

[0007] Preferably, an adjustable air duct and an air duct switching valve are provided in the air-cooled heat dissipation device. The adjustable air duct automatically adjusts the opening size of the air duct according to the instruction of the central processing unit. The air duct switching valve can switch different air duct positions according to the heat dissipation instruction issued by the central processing unit, thereby improving the efficiency and flexibility of air-cooled heat dissipation. The opening adjustment range of the adjustable air duct is 0% to 100%.

[0008] Preferably, the liquid cooling device also includes a primary coolant temperature regulator and a secondary coolant temperature regulator. The primary coolant temperature regulator is used to adjust the initial temperature of the coolant, and the secondary coolant temperature regulator is used to adjust the outlet temperature of the coolant. The temperature adjustment range of the primary coolant temperature regulator is -10°C to 30°C, and the temperature adjustment range of the secondary coolant temperature regulator is 0°C to 50°C.

[0009] Preferably, a first-level alarm and a second-level alarm are installed on the housing of the rod-shaped motor. The first-level alarm is used to prompt slight temperature abnormalities or heat dissipation device failures, and the second-level alarm is used to prompt serious temperature abnormalities or heat dissipation device failures. The first-level alarm prompts through indicator lights and buzzers, and the second-level alarm sends an alarm signal to the remote monitoring center through the communication module and records the fault information.

[0010] Accordingly, the embodiment of the present invention also provides a temperature control method for a high-efficiency heat dissipation rod-shaped motor, which is stored in a central processor of any of the high-efficiency heat dissipation rod-shaped motors described in the embodiment of the present invention in the form of an executable program, and includes the following steps:

[0011] S1: Data collection and preprocessing;

[0012] Real-time acquisition of temperature data of the stator, mover, and linear guide of the rod-shaped motor; real-time acquisition of the motor current and mover movement speed data; and preprocessing of the temperature data, current, and mover movement speed data, the preprocessing including data filtering, correction, and normalization;

[0013] S2: Establish a load prediction model;

[0014] The load prediction model is established based on the electrical, mechanical and thermal characteristics of the motor, and is dynamically updated through historical data and real-time data. The load prediction model predicts the motor load at the next moment based on the real-time current and mover speed data.

[0015] S3: Calculate cooling requirements;

[0016] According to the thermal model of the motor and the load prediction results, the required heat dissipation power and heat dissipation time are calculated to obtain the heat dissipation demand value;

[0017] S4: generating a heat dissipation strategy according to the heat dissipation demand, the heat dissipation strategy including adjusting the speed of a variable speed fan in an air-cooled heat dissipation device and the speed of a cooling pump and the opening of a coolant flow regulating valve in a liquid-cooled heat dissipation device;

[0018] S5: Dynamically adjust the heat dissipation strategy according to the real-time temperature and load changes, and automatically adjust the working state of the heat dissipation device by real-time monitoring of the feedback data of the temperature sensor to adapt to the changes in the motor load;

[0019] S6: Based on the feedback data from the temperature sensor and the operating status of the heat sink, determine whether there is a temperature anomaly or a heat sink failure. When a temperature anomaly or a heat sink failure is detected, the central processor sends instructions to the first-level alarm or the second-level alarm through the signal transceiver to prompt and alarm. The first-level alarm prompts a slight temperature anomaly or heat sink failure through an indicator light and a buzzer, and the second-level alarm sends an alarm signal to the remote monitoring center through the communication module and records the fault information.

[0020] Preferably, in S2, the expression of the load prediction model is:

[0021] ;

[0022] in, is the motor load predicted at the next moment;

[0023] is the current at the current moment;

[0024] is the moving speed of the mover at the current moment;

[0025] is the temperature at the current moment;

[0026] a represents the motor load and current The relationship coefficient between

[0027] b represents the motor load and the moving speed of the mover The relationship coefficient between

[0028] c represents the motor load and temperature The relationship coefficient between

[0029] d represents the constant term or bias term in the motor load model;

[0030] a, b, c, and d are determined using historical data and linear regression methods.

[0031] Preferably, the parameter optimization step of the load prediction model includes:

[0032] S5.1: Collect a large amount of historical data on motor operation, including current, rotor movement speed, temperature and load;

[0033] S5.2: Use linear regression algorithm to train historical data and optimize model parameters;

[0034] The objective function of linear regression is expressed as:

[0035] ;

[0036] in, ;

[0037] is the actual motor load at the ith data point;

[0038] is the time point of the i-th data point;

[0039] n is the total amount of motor operation history data of the mobile phone.

[0040] By analytical method, the objective function J is minimized to obtain the optimal parameters a, b, c and d;

[0041] S5.3: Verify the predictive accuracy and robustness of the model through cross-validation method.

[0042] Preferably, in S3, the required heat dissipation power and heat dissipation time are calculated according to the thermal model of the motor and the load prediction result to obtain the heat dissipation demand value. The specific calculation formula is as follows:

[0043] Heat dissipation power calculation formula:

[0044] ;

[0045] Cooling time calculation formula:

[0046] ;

[0047] in, is the heat dissipation power at the next moment;

[0048] is the predicted temperature at the next moment;

[0049] is the set temperature target value;

[0050] is the heat dissipation coefficient;

[0051] is the thermal mass of the motor;

[0052] is the specific heat capacity;

[0053] is the heat dissipation time at the next moment;

[0054] The heat dissipation power and heat dissipation time are integrated to obtain the heat dissipation demand value.

[0055] Preferably, in S4 and S5, a heat dissipation strategy is generated according to the heat dissipation demand. The heat dissipation strategy includes adjusting the speed of the variable speed fan in the air-cooled heat dissipation device and the speed of the cooling pump in the liquid-cooled heat dissipation device and the opening of the coolant flow regulating valve. The specific strategy is as follows:

[0056] Air cooling strategy: According to the heat dissipation requirements, the speed of the variable-speed fan is adjusted by the controller. The formula is:

[0057] ;

[0058] Liquid cooling strategy: According to the heat dissipation requirements, the speed of the cooling pump and the opening of the coolant flow control valve are adjusted through the controller. The formula is:

[0059] ;

[0060] ;

[0061] in, is the fan speed at the next moment;

[0062] It is a function of the relationship between fan speed and heat dissipation power;

[0063] is the cooling pump speed at the next moment;

[0064] is the flow valve opening at the next moment;

[0065] It is a function of the relationship between the cooling pump speed and the heat dissipation power;

[0066] It is the relationship function between the flow valve opening and the heat dissipation power;

[0067] is the heat dissipation power at the next moment.

[0068] Preferably, in S6, when temperature anomaly and heat sink failure are identified, the working state of the heat sink is automatically adjusted to try to restore normal operation, and the specific steps are as follows:

[0069] S6.1: Identify temperature anomalies and heat sink failures through data analysis and pattern recognition algorithms;

[0070] S6.2: According to the fault type, try to restore the normal operation of the system by adjusting the working parameters of the heat dissipation device;

[0071] S6.3: When the self-repair module cannot solve the problem, the user is prompted to perform manual intervention through an alarm.

[0072] Through the technical solution provided by the present invention, the present invention has at least the following technical effects:

[0073] 1. By integrating temperature sensors, current sensors and position feedback sensors, the motor can monitor the temperature and load conditions of each component in real time to ensure that the motor is effectively cooled under different working conditions and avoid motor damage or efficiency loss due to overheating.

[0074] 2. The CPU uses an intelligent heat dissipation control algorithm to accurately control the operation of the air cooling and liquid cooling devices according to the actual operating status of the motor. The air cooling system adjusts the fan speed and the liquid cooling system adjusts the coolant flow rate to accurately meet the heat dissipation needs of the motor, avoiding the problems of excessive or insufficient heat dissipation that may exist in traditional heat dissipation systems.

[0075] 3. Through the precise control of the adjustable air duct opening and the air duct switching valve by the central processor, the motor can obtain the optimal heat dissipation path and air flow under different working conditions. This intelligent adjustment not only improves the heat dissipation efficiency, but also reduces energy consumption. The motor can maintain a relatively stable temperature range to avoid performance degradation or failure due to overheating.

[0076] 4. The linkage of the primary and secondary temperature regulators can provide the most suitable coolant temperature according to different workloads and temperature requirements, avoiding uneven heat dissipation caused by overcooling or insufficient temperature.

[0077] 5. By accurately analyzing the impact of motor current, motor movement speed and temperature on load, the prediction model can predict load changes in real time during motor operation. This helps improve the system's responsiveness to motor load fluctuations and provides real-time load information for the temperature control system.

[0078] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0080] Figure 1 A functional module block diagram of a high-efficiency heat dissipation rod-shaped motor provided in an embodiment of the present application;

[0081] Figure 2 The process of the temperature control method of the high-efficiency heat dissipation rod-shaped motor provided by the embodiment of the present application is as follows: Figure 1 ;

[0082] Figure 3 The process of the temperature control method of the high-efficiency heat dissipation rod-shaped motor provided by the embodiment of the present application is as follows: Figure 2 . DETAILED DESCRIPTION

[0083] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0084] The terms "system" and "network" in the embodiments of the present invention can be used interchangeably. "Multiple" means two or more than two. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present invention. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / ", unless otherwise specified, generally indicates that the previous and subsequent associated objects are in an "or" relationship. In addition, it should be understood that in the description of the embodiments of the present invention, the words "first", "second", etc. are only used to distinguish the purpose of description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0085] See also Figure 1 The embodiment of the present invention provides a rod-shaped motor with high efficiency heat dissipation, including a temperature sensor, a main control unit, a current sensor and a position feedback sensor, an air-cooled heat dissipation device and a liquid-cooled heat dissipation device; the temperature sensors are respectively installed on the stator, the mover, the linear guide rail and the housing of the rod-shaped motor, and the temperature sensor is a high-precision, fast-response digital temperature sensor, which can detect the temperature of various parts inside the rod-shaped motor in real time; the temperature sensor transmits the real-time detected temperature data to the main control unit through a signal transceiver, and the main control unit includes a central processing unit, a data storage device and a signal transceiver; a current sensor and a position feedback sensor are arranged in the rod-shaped motor, the current sensor is used to detect the real-time current of the rod-shaped motor, and the position feedback sensor is used to detect the real-time position and moving speed of the rod-shaped motor, the current sensor and the position feedback sensor transmit the detected data to the main control unit through a signal transceiver, and the central processing unit calculates the real-time load of the rod-shaped motor according to these data; the central processing unit sends instructions to the heat dissipation device through the signal transceiver according to the calculation result of the intelligent heat dissipation control algorithm, the variable speed fan in the air-cooled heat dissipation device adjusts the speed according to the instructions, and the cooling pump and the coolant flow regulating valve in the liquid-cooled heat dissipation device adjust the coolant flow according to the instructions.

[0086] In one possible implementation, the embodiment of the present invention integrates multiple sensors and intelligent heat dissipation control algorithms to achieve temperature monitoring, load analysis, and heat dissipation regulation during the operation of the motor, thereby effectively improving the heat dissipation performance and stability of the motor and ensuring that it can operate safely and efficiently under various load conditions.

[0087] Specifically, each temperature sensor is installed on the stator, mover, linear guide and housing of the motor to detect the temperature of each key component of the motor in real time. The data collected by the sensor is transmitted to the main control unit for processing through a signal transceiver. After receiving these data, the central processing unit in the main control unit can determine in real time whether the motor is in a normal operating temperature range. If the temperature is too high, the heat dissipation system is started. Among them, the temperature sensor of the embodiment of the present invention adopts the LM75A digital temperature sensor. The LM75A is designed with low power consumption characteristics and is suitable for devices that need to run for a long time or are battery-powered. Its power consumption in standby mode is very low. In some low-power applications, it can significantly extend the battery life. The LM75A digital temperature sensor is directly mounted on the outer surface of the stator, mover or other key parts of the motor by surface mounting.

[0088] Furthermore, the current sensor detects the real-time current of the motor and transmits the current data to the main control unit through the signal transceiver. The current data helps to determine the load condition of the motor. High current usually indicates that the motor load is large, so additional heat dissipation is required to prevent overheating. Furthermore, the position feedback sensor monitors the motor's mover speed in real time, and the mover speed data is also transmitted to the main control unit through the signal transceiver. The motor mover speed is closely related to its load and efficiency. The main control unit adjusts the heat dissipation strategy according to the change in the mover speed. Furthermore, the main control unit calculates the real-time load and temperature status of the motor based on the temperature, current and mover speed data using an intelligent heat dissipation control algorithm. If the temperature is too high, the main control unit sends a command to the heat dissipation device through the signal transceiver to adjust the working status of the air-cooled heat dissipation device and the liquid-cooled heat dissipation device.

[0089] Among them, the variable speed fan in the air-cooled heat dissipation device adjusts the speed according to the instructions of the main control unit. The change in fan speed directly affects the cooling effect of the motor. Under high load conditions, the fan can accelerate rotation to increase air flow, thereby enhancing the heat dissipation effect. Furthermore, the cooling pump and coolant flow regulating valve in the liquid-cooled heat dissipation device adjust the coolant flow according to the instructions of the main control unit. The liquid cooling system removes the heat generated by the motor through the flow of coolant. The main control unit monitors the temperature and load conditions and accurately adjusts the coolant flow to ensure that the motor maintains a suitable temperature under different working conditions.

[0090] By integrating temperature sensors, current sensors and position feedback sensors, the motor can monitor the temperature and load conditions of each component in real time to ensure that the motor is effectively cooled under different working conditions and avoid motor damage or efficiency loss due to overheating. The central processor uses an intelligent heat dissipation control algorithm to accurately control the operation of air cooling and liquid cooling devices according to the actual operating status of the motor. The air cooling system adjusts the fan speed and the liquid cooling system adjusts the coolant flow rate to accurately meet the heat dissipation needs of the motor, avoiding the problems of excessive or insufficient heat dissipation that may exist in traditional heat dissipation systems.

[0091] In an embodiment of the present invention, an adjustable air duct and an air duct switching valve are provided in the air-cooled heat dissipation device. The adjustable air duct automatically adjusts the opening size of the air duct according to the instruction of the central processing unit. The air duct switching valve can switch different air duct positions according to the heat dissipation instruction issued by the central processing unit, thereby improving the efficiency and flexibility of air-cooled heat dissipation. The opening adjustment range of the adjustable air duct is 0% to 100%.

[0092] In one possible implementation, the air-cooled heat dissipation device of the high-efficiency heat dissipation rod-shaped motor is composed of an adjustable air duct and an air duct switching valve, which can achieve dynamic adjustment and flexible switching of the heat dissipation efficiency by cooperating with the central processing unit, thereby further improving the heat dissipation performance and adaptability of the motor.

[0093] Specifically, the opening size of the adjustable air duct is controlled by the central processing unit. The central processing unit sends a signal to adjust the opening of the adjustable air duct according to the motor's operating status, temperature feedback, and working environment requirements, thereby controlling the amount of air entering the air duct. This automatic adjustment function ensures that the motor can be properly cooled under different load and temperature conditions.

[0094] Furthermore, the function of the air duct switching valve is to switch different air duct positions to change the path of the airflow. According to the heat dissipation instructions issued by the central processor, the air duct switching valve can select different air duct paths to achieve a more accurate and flexible heat dissipation strategy. For example, when the motor load is large and the temperature is high, the central processor may instruct the air duct switching valve to switch to a more efficient air duct position to increase the heat dissipation capacity of the airflow; when the load is light or the temperature is low, the air duct switching valve can be adjusted to reduce the airflow path and save energy.

[0095] Through the precise control of the adjustable air duct opening and the air duct switching valve by the central processor, the motor can obtain the optimal heat dissipation path and air flow under different working conditions. This intelligent adjustment not only improves the heat dissipation efficiency, but also reduces energy consumption. The motor can maintain a relatively stable temperature range to avoid performance degradation or failure due to overheating.

[0096] In an embodiment of the present invention, the liquid cooling device also includes a primary coolant temperature regulator and a secondary coolant temperature regulator. The primary coolant temperature regulator is used to adjust the initial temperature of the coolant, and the secondary coolant temperature regulator is used to adjust the outlet temperature of the coolant. The temperature adjustment range of the primary coolant temperature regulator is -10°C to 30°C, and the temperature adjustment range of the secondary coolant temperature regulator is 0°C to 50°C.

[0097] In one possible implementation, the liquid cooling device further improves the temperature control accuracy and heat dissipation efficiency of the motor by introducing a primary coolant temperature regulator and a secondary coolant temperature regulator. Specifically, the primary coolant temperature regulator is located at the initial inflow part of the coolant, and its function is to control the temperature of the coolant entering the liquid cooling system to ensure that the coolant is in an appropriate temperature range before flowing into the motor heat dissipation system. The temperature adjustment range of the primary temperature regulator is -10°C to 30°C, and it is connected to an external cooling device (such as a coolant circulation system or a condenser) through an electric control valve or a heat exchanger to achieve preheating or cooling of the coolant.

[0098] Furthermore, the secondary coolant temperature regulator is located at the outlet of the liquid cooling system, which is used to further fine-tune the temperature of the coolant flowing out of the motor. The temperature adjustment range of the secondary regulator is 0°C to 50°C. Its function is to adjust the temperature of the coolant after it flows out of the motor cooling system according to the actual operating status and temperature requirements of the motor, ensuring that the cooling system operates within the optimal thermal management range. The secondary temperature regulator usually maintains temperature stability by working in conjunction with a radiator or heat exchanger.

[0099] The CPU sends adjustment instructions to the primary and secondary temperature regulators based on the motor's operating status (such as load, temperature feedback, etc.). For example, when the motor load is high, the CPU may instruct the primary coolant temperature regulator to lower the coolant temperature to help the motor cool down faster; at the same time, the secondary temperature regulator may further refine the adjustment based on the outlet temperature requirements. Through the precise control of the CPU, the primary and secondary temperature regulators can work together dynamically to optimize the temperature management of the coolant.

[0100] The first-stage coolant temperature regulator ensures that the coolant maintains the optimal initial temperature when entering the motor cooling system, while the second-stage coolant temperature regulator accurately controls the coolant outlet temperature to further improve the accuracy and efficiency of heat dissipation. This precise temperature control management can adjust the coolant temperature in real time according to changes in motor load and working environment, avoiding overheating or overcooling, and ensuring that the motor can dissipate heat efficiently under different working conditions.

[0101] In an embodiment of the present invention, a first-level alarm and a second-level alarm are installed on the housing of the rod-shaped motor. The first-level alarm is used to prompt slight temperature abnormalities or heat dissipation device failures, and the second-level alarm is used to prompt serious temperature abnormalities or heat dissipation device failures. The first-level alarm prompts through indicator lights and buzzers, and the second-level alarm sends an alarm signal to a remote monitoring center through a communication module and records fault information.

[0102] In a possible implementation, a primary alarm and a secondary alarm are installed on the housing to provide early warning and alarm for temperature anomalies and heat dissipation device failures during motor operation. Specifically, the primary alarm is mainly used to detect slight temperature anomalies in the motor heat dissipation system or preliminary failures of the heat dissipation device. The primary alarm is connected to the heat dissipation device inside the motor through a sensor and a temperature monitoring system. When the temperature of the heat dissipation system fluctuates slightly or fails, the primary alarm will be triggered and a warning signal will be issued. The warning forms include indicator lights and buzzers sounding to remind the operator to pay attention to the temperature status of the motor. The indicator lights may use different colors (such as yellow or orange) to indicate the level of the warning, while the buzzer provides an audible prompt to remind the user to take timely measures.

[0103] Furthermore, the secondary alarm is mainly used to detect serious temperature anomalies inside the motor or failures in the cooling device. When the cooling system of the motor has serious anomalies (such as a sharp rise in temperature, insufficient coolant flow, etc.), the secondary alarm will be triggered. The secondary alarm is connected to the communication module to send the alarm signal to the remote monitoring center and record detailed fault information. The monitoring center can receive the alarm information in real time to facilitate remote diagnosis and processing. The alarm signal of the secondary alarm is usually a more obvious and urgent prompt, which may be accompanied by protective measures such as automatic shutdown of the equipment and power failure to prevent motor damage or safety accidents.

[0104] The communication module transmits real-time data with the remote monitoring center through a network connection (including but not limited to Wi-Fi, 4G or other communication methods). The remote monitoring center can receive the alarm signal from the secondary alarm, and perform remote diagnosis and analysis based on the alarm information, and even take remote control measures (including but not limited to shutting down the motor, adjusting the cooling system, etc.) to ensure the normal operation of the motor.

[0105] Through the cooperation of the primary and secondary alarms, temperature anomalies and heat dissipation failures in the system can be detected and responded to in a timely manner, thus avoiding large-scale failures or damage to the system. This multiple protection mechanism makes the motor run more stable, reduces unexpected shutdowns or failures caused by heat dissipation problems, and improves the reliability and durability of the system.

[0106] Based on the same inventive concept, see Figure 2 The embodiment of the present invention provides a temperature control method for a high-efficiency heat dissipation rod-shaped motor, which is stored in a central processor of any of the high-efficiency heat dissipation rod-shaped motors described in the embodiment of the present invention in the form of an executable program, and includes the following steps:

[0107] S1: Data collection and preprocessing;

[0108] Real-time acquisition of temperature data of the stator, mover, and linear guide of the rod-shaped motor; real-time acquisition of the motor current and mover movement speed data; and preprocessing of the temperature data, current, and mover movement speed data, the preprocessing including data filtering, correction, and normalization;

[0109] S2: Establish a load prediction model;

[0110] The load prediction model is established based on the electrical, mechanical and thermal characteristics of the motor, and is dynamically updated through historical data and real-time data. The load prediction model predicts the motor load at the next moment based on the real-time current and mover speed data.

[0111] S3: Calculate cooling requirements;

[0112] According to the thermal model of the motor and the load prediction results, the required heat dissipation power and heat dissipation time are calculated to obtain the heat dissipation demand value;

[0113] S4: generating a heat dissipation strategy according to the heat dissipation demand, the heat dissipation strategy including adjusting the speed of a variable speed fan in an air-cooled heat dissipation device and the speed of a cooling pump and the opening of a coolant flow regulating valve in a liquid-cooled heat dissipation device;

[0114] S5: Dynamically adjust the heat dissipation strategy according to the real-time temperature and load changes, and automatically adjust the working state of the heat dissipation device by real-time monitoring of the feedback data of the temperature sensor to adapt to the changes in the motor load;

[0115] S6: Based on the feedback data from the temperature sensor and the operating status of the heat sink, determine whether there is a temperature anomaly or a heat sink failure. When a temperature anomaly or a heat sink failure is detected, the central processor sends instructions to the first-level alarm or the second-level alarm through the signal transceiver to prompt and alarm. The first-level alarm prompts a slight temperature anomaly or heat sink failure through an indicator light and a buzzer, and the second-level alarm sends an alarm signal to the remote monitoring center through the communication module and records the fault information.

[0116] In one possible implementation, first, the temperature, current and mover speed data of the motor are collected in real time and preprocessed. The temperature data comes from key parts such as the stator, mover and linear guide of the motor, while the current and mover speed data reflect the operating status of the motor. By filtering, correcting and normalizing the data, noise and outliers are removed to ensure the accuracy and reliability of the data. This step provides a solid data foundation for subsequent load prediction and temperature control strategies.

[0117] Furthermore, after data preprocessing, the next key step is to establish a load prediction model. This model is dynamically updated through the electrical, mechanical and thermal characteristics of the motor, combined with historical data and real-time data. The load prediction model predicts the load of the motor at the next moment based on the real-time current and mover speed data. This prediction can predict the working status of the motor in advance and provide forward-looking support for the subsequent calculation of heat dissipation requirements.

[0118] Furthermore, by applying the motor thermal model and combining the load prediction results, the required heat dissipation power and heat dissipation time are calculated to obtain the heat dissipation demand value. This step is the key link to ensure that the motor does not overheat under different load conditions. Through accurate heat dissipation demand calculation, the work of the heat dissipation system can be optimized to avoid excessive or insufficient heat dissipation, thereby improving the working efficiency and life of the motor.

[0119] Furthermore, based on the heat dissipation requirements, the system will generate a heat dissipation strategy, which specifically includes adjusting the speed of the variable-speed fan in the air-cooled heat dissipation device, the speed of the cooling pump in the liquid-cooled heat dissipation device, and the opening of the coolant flow control valve. This heat dissipation strategy is designed to keep the temperature of the motor within a safe range under different working environments. When the motor load changes, the system will monitor the data of the temperature sensor in real time and dynamically adjust the heat dissipation strategy according to the load changes. This adaptive adjustment mechanism ensures the best heat dissipation effect of the motor under various load conditions.

[0120] Furthermore, in order to further ensure the safe operation of the motor, the system is also designed with a fault detection and alarm mechanism. When the feedback data of the temperature sensor is abnormal or the heat dissipation device fails, the central processor sends an alarm command through the signal transceiver. The first-level alarm will prompt slight temperature abnormalities or faults through indicator lights and buzzers, while the second-level alarm will transmit the alarm signal to the remote monitoring center through the communication module and record relevant fault information. This mechanism effectively improves the safety of the motor and the reliability of the system.

[0121] In the embodiment of the present invention, in S2, the expression of the load prediction model is:

[0122] ;

[0123] in, is the motor load predicted at the next moment;

[0124] is the current at the current moment;

[0125] is the moving speed of the mover at the current moment;

[0126] is the temperature at the current moment;

[0127] a represents the motor load and current The relationship coefficient between

[0128] b represents the motor load and the moving speed of the mover The relationship coefficient between

[0129] c represents the motor load and temperature The relationship coefficient between

[0130] d represents the constant term or bias term in the motor load model;

[0131] a, b, c, and d are determined using historical data and linear regression methods.

[0132] In a possible implementation, in the load prediction model, the current current of the motor , mover moving speed and temperature It is an important factor affecting the motor load. Each parameter (current, mover speed and temperature) works together with the relationship coefficient (a, b, c) with the load to affect the load prediction at the next moment. Current, mover speed and temperature directly affect the load state of the motor, and the interaction between them is dynamically changing. Through the linear regression method, these coefficients are obtained from historical data to ensure that the model has strong predictive ability and accuracy. By accurately analyzing the impact of the motor's current, mover speed and temperature on the load, the prediction model can predict load changes in real time during the operation of the motor. This helps to improve the system's responsiveness to motor load fluctuations and provides real-time load information for the temperature control system.

[0133] In an embodiment of the present invention, the parameter optimization step of the load prediction model includes:

[0134] S5.1: Collect a large amount of historical data on motor operation, including current, rotor movement speed, temperature and load;

[0135] S5.2: Use linear regression algorithm to train historical data and optimize model parameters;

[0136] The objective function of linear regression is expressed as:

[0137] ;

[0138] in, ;

[0139] is the actual motor load at the ith data point;

[0140] is the time point of the i-th data point;

[0141] n is the total amount of motor operation history data of the mobile phone.

[0142] By analytical method, the objective function J is minimized to obtain the optimal parameters a, b, c and d;

[0143] S5.3: Verify the predictive accuracy and robustness of the model through cross-validation method.

[0144] In one possible implementation, first, a large amount of historical data of motor operation, including current, rotor movement speed, temperature and load, needs to be collected. Extensive collection of data provides a solid foundation for subsequent model training. These data reflect the performance of the motor under different working conditions and can help the model accurately identify and establish the relationship between the motor load and key parameters. After obtaining sufficient historical data, a linear regression algorithm is used to train the data. The goal of linear regression is to minimize the objective function J so that the parameters of the model (i.e., coefficients a, b, c, and d in the load prediction model) optimally match the actual motor load. Finally, in order to verify the generalization ability and robustness of the model, a cross-validation method is used. Cross-validation divides the data set into several subsets, uses one of the subsets as a validation set, and the remaining subsets as a training set, and repeatedly verifies the performance of the model. In this way, the performance of the model on different data sets can be evaluated to ensure its prediction accuracy and stability.

[0145] By collecting historical data of the motor, training and optimizing the linear regression model, and cross-validating, the high accuracy and robustness of the load prediction model can be achieved, thereby optimizing the temperature control strategy of the motor and improving the overall performance, efficiency, and reliability of the system.

[0146] In the embodiment of the present invention, in S3, the required heat dissipation power and heat dissipation time are calculated according to the thermal model of the motor and the load prediction result to obtain the heat dissipation demand value. The specific calculation formula is as follows:

[0147] Heat dissipation power calculation formula:

[0148] ;

[0149] Cooling time calculation formula:

[0150] ;

[0151] in, is the heat dissipation power at the next moment;

[0152] is the predicted temperature at the next moment;

[0153] is the set temperature target value;

[0154] is the heat dissipation coefficient;

[0155] is the thermal mass of the motor;

[0156] is the specific heat capacity;

[0157] is the heat dissipation time at the next moment;

[0158] The heat dissipation power and heat dissipation time are integrated to obtain the heat dissipation demand value.

[0159] In a possible implementation, first, a thermal model of the motor needs to be established, which reflects the temperature variation of the motor under different loads. The thermal model of the motor usually considers parameters such as the thermal mass, specific heat capacity, and heat dissipation coefficient of the motor, which are closely related to factors such as the working environment, materials, and load conditions of the motor. The thermal model provides a theoretical basis for the subsequent calculation of heat dissipation power and time.

[0160] Furthermore, through the load prediction in the S2 stage, the load condition of the motor at the next moment (such as current, rotor movement speed, etc.) is obtained, so that the heating condition and temperature change trend of the motor can be predicted. The load prediction combined with the thermal model can more accurately estimate the temperature of the motor at the next moment and the heat dissipation demand. Furthermore, in the S3 stage, the required heat dissipation power is calculated according to the motor thermal model and load prediction results. Furthermore, after obtaining the heat dissipation power, the system also needs to calculate the time required for heat dissipation. The calculation of the heat dissipation time takes into account factors such as the thermal mass of the motor (that is, the heat capacity of the motor) and specific heat capacity.

[0161] Through the above calculations, the temperature change of the motor can be accurately predicted, and the cooling power and cooling time can be adjusted according to the change of load. Accurate heat dissipation control helps to ensure that the temperature of the motor is always maintained within a safe range, avoiding equipment damage and performance degradation caused by overheating.

[0162] In the embodiment of the present invention, in S4 and S5, a heat dissipation strategy is generated according to the heat dissipation demand. The heat dissipation strategy includes adjusting the speed of the variable speed fan in the air-cooled heat dissipation device and the speed of the cooling pump in the liquid-cooled heat dissipation device and the opening of the coolant flow regulating valve. The specific strategy is as follows:

[0163] Air cooling strategy: According to the heat dissipation requirements, the speed of the variable-speed fan is adjusted by the controller. The formula is:

[0164] ;

[0165] Liquid cooling strategy: According to the heat dissipation requirements, the speed of the cooling pump and the opening of the coolant flow control valve are adjusted through the controller. The formula is:

[0166] ;

[0167] ;

[0168] in, is the fan speed at the next moment;

[0169] It is a function of the relationship between fan speed and heat dissipation power;

[0170] is the cooling pump speed at the next moment;

[0171] is the flow valve opening at the next moment;

[0172] It is a function of the relationship between the cooling pump speed and the heat dissipation power;

[0173] It is the relationship function between the flow valve opening and the heat dissipation power;

[0174] is the heat dissipation power at the next moment.

[0175] In a possible implementation, in an air cooling strategy, the system adjusts the speed of a variable speed fan in an air cooling device according to the cooling demand. In a liquid cooling strategy, the system controls the cooling effect by adjusting the speed of a cooling pump and the opening of a coolant flow regulating valve in a liquid cooling device according to the cooling demand.

[0176] The air-cooled and liquid-cooled heat dissipation systems make the heat dissipation process more efficient by adjusting the speed of the fan and cooling pump and the opening of the flow valve according to the real-time heat dissipation power. Efficient heat dissipation can not only prevent the motor from overheating, but also reduce the energy consumption of the heat dissipation system itself and optimize the energy efficiency ratio of the entire system. This method can adjust the working intensity of the cooling system according to actual needs, avoiding the problems of "over-heating" or "insufficient heat dissipation" that may occur in traditional heat dissipation systems. This not only improves the heat dissipation efficiency of the system, but also optimizes the use of energy and reduces the energy consumption of the heat dissipation device.

[0177] See also Figure 3 In the embodiment of the present invention, in S6, when the temperature anomaly and the heat sink failure are identified, the working state of the heat sink is automatically adjusted to try to restore normal operation. The specific steps are as follows:

[0178] S6.1: Identify temperature anomalies and heat sink failures through data analysis and pattern recognition algorithms;

[0179] S6.2: According to the fault type, try to restore the normal operation of the system by adjusting the working parameters of the heat dissipation device;

[0180] S6.3: When the self-repair module cannot solve the problem, an alarm is used to prompt the user to perform manual intervention.

[0181] In one possible implementation, the system monitors the temperature of the motor and the working status of the heat dissipation device in real time through data analysis and pattern recognition algorithms. When the temperature exceeds the normal range or the heat dissipation system fails (such as abnormal fan speed, liquid cooling pump failure, etc.), the system can detect these anomalies through algorithms and automatically identify the fault type.

[0182] Furthermore, once a fault is identified, the system will try to restore normal operation by adjusting the operating parameters of the cooling device according to the type of fault. For example, when a fan fault is detected, the system may try to adjust the fan speed or enable a backup fan; if a liquid cooling system fails, the system may adjust the speed of the cooling pump or adjust the liquid cooling valve to try to compensate for the lack of heat dissipation caused by the fault.

[0183] Furthermore, if the automatic repair fails to resolve the fault, the system will trigger an alarm to prompt the user to intervene manually. This function ensures that even if the self-repair module cannot completely resolve the problem, the user can be warned in time and take necessary measures to avoid motor overheating and damage.

[0184] The automatic identification and repair function of temperature anomalies and heat dissipation device failures in the S6 stage greatly improves the intelligence, reliability and safety of the system, and provides a strong guarantee for the long-term stable operation of the high-efficiency heat dissipation rod motor.

[0185] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

[0186] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0187] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including a number of instructions to enable a single-chip microcomputer, a chip or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0188] In addition, various implementation modes of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed by the embodiments of the present invention.

Claims

1. A temperature control method for a high-efficiency heat dissipation rod-shaped motor, which is stored in a central processing unit of the high-efficiency heat dissipation rod-shaped motor in the form of an executable program, characterized in that: The steps include: S1: Data collection and preprocessing; Real-time acquisition of temperature data of the stator, mover, and linear guide of the rod-shaped motor; real-time acquisition of the motor current and mover movement speed data; and preprocessing of the temperature data, current, and mover movement speed data, the preprocessing including data filtering, correction, and normalization; S2: Establish a load prediction model; The load prediction model is established based on the electrical, mechanical and thermal characteristics of the motor, and is dynamically updated through historical data and real-time data. The load prediction model predicts the motor load at the next moment based on the real-time current and mover speed data. S3: Calculate cooling requirements; According to the thermal model of the motor and the load prediction results, the required heat dissipation power and heat dissipation time are calculated to obtain the heat dissipation demand value; S4: generating a heat dissipation strategy according to the heat dissipation demand, the heat dissipation strategy including adjusting the speed of a variable speed fan in an air-cooled heat dissipation device and the speed of a cooling pump and the opening of a coolant flow regulating valve in a liquid-cooled heat dissipation device; S5: Dynamically adjust the heat dissipation strategy according to the real-time temperature and load changes, and automatically adjust the working state of the heat dissipation device by real-time monitoring of the feedback data of the temperature sensor to adapt to the changes in the motor load; S6: Based on the feedback data from the temperature sensor and the operating status of the heat sink, determine whether there is a temperature anomaly or a heat sink failure. When a temperature anomaly or a heat sink failure is detected, the central processor sends instructions to the first-level alarm or the second-level alarm through the signal transceiver to prompt and alarm. The first-level alarm prompts a slight temperature anomaly or heat sink failure through an indicator light and a buzzer, and the second-level alarm sends an alarm signal to the remote monitoring center through the communication module and records the fault information.

2. The temperature control method of the high-efficiency heat dissipation rod-shaped motor according to claim 1, characterized in that: In S2, the expression of the load prediction model is: ； in, is the motor load predicted at the next moment; is the current at the current moment; is the moving speed of the mover at the current moment; is the temperature at the current moment; a represents the motor load and current The relationship coefficient between b represents the motor load and the moving speed of the mover The relationship coefficient between c represents the motor load and temperature The relationship coefficient between d represents the constant term or bias term in the motor load model; a, b, c, and d are determined using historical data and linear regression methods.

3. The temperature control method of the high-efficiency heat dissipation rod-shaped motor according to claim 2 is characterized in that: The parameter optimization steps of the load forecasting model include: S5.1: Collect a large amount of historical data on motor operation, including current, rotor movement speed, temperature and load; S5.2: Use linear regression algorithm to train historical data and optimize model parameters; The objective function of linear regression is expressed as: ； in, ; is the actual motor load at the ith data point; is the time point of the i-th data point; n is the total amount of motor operation history data collected; By analytical method, the objective function J is minimized to obtain the optimal parameters a, b, c and d; S5.3: Verify the predictive accuracy and robustness of the model through cross-validation method.

4. The temperature control method of the high-efficiency heat dissipation rod-shaped motor according to claim 3 is characterized in that: In S3, the required heat dissipation power and heat dissipation time are calculated according to the thermal model of the motor and the load prediction results to obtain the heat dissipation demand value. The specific calculation formula is as follows: Heat dissipation power calculation formula: ； Cooling time calculation formula: ； in, is the heat dissipation power at the next moment; is the predicted temperature at the next moment; is the set temperature target value; is the heat dissipation coefficient; is the thermal mass of the motor; is the specific heat capacity; is the heat dissipation time at the next moment; The heat dissipation power and heat dissipation time are integrated to obtain the heat dissipation demand value.

5. The temperature control method of the high-efficiency heat dissipation rod-shaped motor according to claim 4, characterized in that: In S4 and S5, a heat dissipation strategy is generated according to the heat dissipation demand. The heat dissipation strategy includes adjusting the speed of the variable speed fan in the air cooling device and the speed of the cooling pump in the liquid cooling device and the opening of the coolant flow regulating valve. The specific strategy is as follows: Air cooling strategy: According to the heat dissipation requirements, the speed of the variable-speed fan is adjusted by the controller. The formula is: ； Liquid cooling strategy: According to the heat dissipation requirements, the speed of the cooling pump and the opening of the coolant flow control valve are adjusted through the controller. The formula is: ； ； in, is the fan speed at the next moment; It is a function of the relationship between fan speed and heat dissipation power; is the cooling pump speed at the next moment; is the flow valve opening at the next moment; It is a function of the relationship between the cooling pump speed and the heat dissipation power; It is the relationship function between the flow valve opening and the heat dissipation power; is the heat dissipation power at the next moment.

6. The temperature control method of the high-efficiency heat dissipation rod-shaped motor according to claim 1, characterized in that: In S6, when temperature anomalies and heat sink failures are identified, the working state of the heat sink is automatically adjusted to try to restore normal operation. The specific steps are as follows: S6.1: Identify temperature anomalies and heat sink failures through data analysis and pattern recognition algorithms; S6.2: According to the fault type, try to restore the normal operation of the system by adjusting the working parameters of the heat dissipation device; S6.3: When the self-repair module cannot solve the problem, an alarm is used to prompt the user to perform manual intervention.

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