Self-adaptive cooling control method and system of integrated variable frequency motor

Abstract

The invention discloses a self-adaptive cooling control method and system for an integrated variable frequency motor, and relates to the related technical field of data processing, and the method comprises the steps: carrying out the real-time operation monitoring of the integrated variable frequency motor, obtaining the operation frequency data, carrying out the cooling judgment, and determining a plurality of cooling modes according to the judgment result. And performing first cooling operation on the motor according to the first cooling mode to obtain first temperature feedback data, and performing second cooling operation on the motor according to the second cooling mode to obtain second temperature feedback data. And cooling control is performed on the integrated variable frequency motor according to the temperature feedback data, dynamic adjustment of output power is performed according to a cooling control result, and an electric power operation safety strategy is formulated. The technical problems that in the prior art, an integrated variable frequency motor cooling method depends on a fixed-frequency cooling system, self-adaptive adjustment cannot be carried out according to the dynamic requirements of the actual load, the temperature change and the operation frequency, the cooling efficiency is not high, and the motor is overheated and damaged are solved.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and specifically to an adaptive cooling control method and system for an integrated variable-frequency motor. Background Art

[0002] An integrated variable-frequency motor is a system that integrates a variable-frequency drive, a motor body, and a cooling device in a compact structure, aiming to improve the response speed of the motor system, reduce the occupied space, and enhance the overall performance. However, since the motor generates more heat during high-load and long-time operation, how to effectively cool the motor and ensure its stable operation under different load and environmental conditions has become a technical problem. Most traditional cooling methods rely on cooling systems with fixed frequencies, which cannot respond in real time to changes in the motor operating state, easily leading to over-cooling or under-cooling, thus affecting the working efficiency and service life of the motor.

[0003] Therefore, most of the integrated variable-frequency motor cooling methods in the prior art rely on cooling systems with fixed frequencies and cannot adaptively adjust according to the dynamic requirements of the actual load, temperature change, and operating frequency, resulting in low cooling efficiency and the technical problem of motor overheating and damage. Summary of the Invention

[0004] This application provides an adaptive cooling control method and system for an integrated variable-frequency motor, solving the technical problem that most of the integrated variable-frequency motor cooling methods in the prior art rely on cooling systems with fixed frequencies and cannot adaptively adjust according to the dynamic requirements of the actual load, temperature change, and operating frequency, resulting in low cooling efficiency and motor overheating and damage. By real-time monitoring the motor operating frequency and judging the cooling demand based on this data, combining dynamic temperature feedback and cooling control modes, generating an adaptive cooling strategy, it can dynamically adjust the motor output power and execute pulsed boost cooling cycles and cooling efficiency evaluations within different temperature ranges, thus significantly improving the cooling efficiency of the motor and extending the service life of the equipment.

[0005] The present application provides an adaptive cooling control method for an integrated variable-frequency motor. The method includes: performing real-time operation monitoring on the integrated variable-frequency motor to obtain operation frequency data; making a cooling determination based on the operation frequency data, and determining multiple cooling modes according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode; performing a first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain second temperature feedback data; performing cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjusting the output power according to the cooling control result, and formulating a power operation safety strategy.

[0006] In an implementation manner, performing real-time operation monitoring on the integrated variable-frequency motor to obtain operation frequency data, the method includes: performing real-time acquisition on the integrated variable-frequency motor through a multi-sensor fusion module to obtain the rotation speed signal of the motor rotor; performing dynamic noise cancellation processing on the rotation speed signal, generating a denoised rotation speed sequence for frequency conversion to obtain initial operation frequency data; calculating the mean value, variance and instantaneous fluctuation value of the initial operation frequency data through a sliding window algorithm; taking the mean value as the main frequency value, and constructing a frequency credibility index by combining the variance and the instantaneous fluctuation value; performing cross-verification on the initial operation frequency data according to the frequency credibility index to determine the operation frequency data.

[0007] In an implementation manner, making a cooling determination based on the operation frequency data, and determining multiple cooling modes according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode, the method includes: setting a frequency threshold for the integrated variable-frequency motor, making a cooling mode determination on the operation frequency data based on the frequency threshold to generate a cooling mode instruction; retrieving the real-time load rate of the motor and the ambient temperature data for floating analysis, and establishing a dynamic frequency threshold correction sequence; dynamically compensating the frequency threshold according to the dynamic frequency threshold correction sequence to generate a dynamic frequency threshold; when the operation frequency data is greater than or equal to the dynamic frequency threshold, activating the first cooling mode according to the cooling mode instruction; when the operation frequency data is less than the dynamic frequency threshold, activating the second cooling mode according to the cooling mode instruction.

[0008] In the implementation, a first cooling operation is performed on the integrated variable frequency motor according to the first cooling mode to obtain first temperature feedback data, and a second cooling operation is performed on the integrated variable frequency motor according to the second cooling mode to obtain second temperature feedback data. The method includes: controlling the start-up of the self-fan cooling system built into the motor through the first cooling mode, driving the fan blades to generate a cooling airflow through the rotation of the rotor, and obtaining first cooling control data, wherein the first cooling control data includes inverter output power data and self-fan speed data; performing linear analysis based on the inverter output power data and the self-fan speed data to determine the target fan blade speed; performing voltage matching on the self-fan motor according to the target fan blade speed to obtain a target drive voltage; performing temperature detection on the integrated variable frequency motor according to the target drive voltage combined with the target fan blade speed, formulating a motor temperature change list, and adding the motor temperature change list to the first temperature feedback data; shutting down the self-fan motor and starting an independent forced cooling fan according to the second cooling mode to output forced air cooling airflow to the motor winding in a directional manner to obtain second cooling control data, performing a second cooling operation on the integrated variable frequency motor according to the second cooling control data, and obtaining the second temperature feedback data.

[0009] In the implementation, the integrated variable frequency motor is cooled and controlled according to the first temperature feedback data and the second temperature feedback data, the output power is dynamically adjusted according to the cooling control result, and a power operation safety strategy is formulated. The method includes: performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature characteristic matrix; performing closed-loop control on the output power according to the comprehensive temperature characteristic matrix to generate power adjustment amplitude data; triggering protection actions in a hierarchical manner according to the real-time temperature deviation rate and the power adjustment amplitude data to construct the power operation safety strategy.

[0010] In the implementation, before performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set, the method includes: performing dynamic filtering processing on the first temperature feedback data set to extract effective temperature characteristic values; generating a self-fan speed adjustment instruction based on a deviation between a preset temperature safety threshold and the effective temperature characteristic value; dynamically adjusting the target drive voltage of the self-fan motor according to the self-fan speed adjustment instruction, and updating the first temperature feedback data set; performing dynamic threshold analysis on the second temperature feedback data set to identify high-temperature hot spot areas and cooling blind spots, performing feature extraction based on the high-temperature hot spot areas and the cooling blind spots, and determining high-temperature hot spot distribution characteristics; generating a forced cooling fan power adjustment instruction based on the high-temperature hot spot distribution characteristics and the operating frequency data; dynamically adjusting the output power according to the forced cooling fan power adjustment instruction, and updating the second temperature feedback data set.

[0011] In an implementation manner, multi-modal data fusion is performed on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix. The method includes: extracting distributed optical fiber temperature gradient data based on the first temperature feedback data, and extracting infrared thermal imaging temperature field data based on the second temperature feedback data; performing three-dimensional mapping on the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data to generate a fused temperature distribution cloud map; traversing the fused temperature distribution cloud map for high-temperature analysis, performing regional division calculation on the fused temperature distribution cloud map according to the analysis result, and determining the proportion of the high-temperature area; performing high-temperature marking on the fused temperature distribution cloud map based on the proportion of the high-temperature area combined with the analysis result to determine the positions of multiple temperature points; extracting the temperature change rate based on the fused temperature distribution cloud map, and mapping and arranging the proportion of the high-temperature area and the positions of the multiple temperature points according to the temperature change rate to construct the comprehensive temperature feature matrix.

[0012] In an implementation manner, the output power is dynamically adjusted according to the cooling control result, and an electric power operation safety strategy is formulated. The method includes: constructing a temperature-power dynamic correlation mapping table based on the cooling control result, calculating the power of the integrated variable-frequency motor through the temperature-power dynamic correlation mapping table to obtain the motor output power; generating a power adjustment instruction according to the real-time temperature deviation rate and the power load rate, dynamically adjusting the output frequency of the frequency converter according to the power adjustment instruction to match the safe power range; determining whether the motor output power is within the safe power range. If it is not, activate the target electric power operation safety level to continuously optimize the motor output power and construct the electric power operation safety strategy.

[0013] In an implementation manner, activating the target electric power operation safety level to continuously optimize the motor output power includes: defining cooling power levels corresponding to multiple temperature intervals according to the temperature-power dynamic correlation mapping table; determining whether the motor output power is within the safe power range and judging the real-time temperature data of the integrated variable-frequency motor; when the real-time temperature data exceeds the critical value, superimposing the motor output power, determining the pulse-type pressurized cooling cycle, using the pulse-type pressurized cooling cycle as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals, and determining the target electric power operation safety level; when the real-time temperature data is lower than the critical value, enter the power holding mode to hold the motor output power, evaluate the cooling efficiency of the integrated variable-frequency motor to generate a cooling evaluation result, and use the cooling evaluation result as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals to determine the target electric power operation safety level.

[0014] The present application also provides an adaptive cooling control system for an integrated variable-frequency motor, including: an operation monitoring module for real-time operation monitoring of the integrated variable-frequency motor to obtain operation frequency data; a cooling mode determination module for performing cooling determination based on the operation frequency data and determining multiple cooling modes according to the determination result, the multiple cooling modes including a first cooling mode and a second cooling mode; a temperature feedback module for performing a first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain second temperature feedback data; a cooling control module for performing cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjusting the output power according to the cooling control result, and formulating a power operation safety strategy.

[0015] It is intended to solve the technical problem that most of the existing cooling methods for integrated variable-frequency motors rely on a cooling system with a fixed frequency and cannot be adaptively adjusted according to the actual load, temperature change and dynamic requirements of the operation frequency, resulting in low cooling efficiency and overheating damage of the motor. By real-time monitoring the operation frequency of the motor and judging the cooling demand based on this data, combining dynamic temperature feedback and cooling control modes, generating an adaptive cooling strategy, dynamically adjusting the output power of the motor, and performing a pulsed boost cooling cycle and cooling efficiency evaluation in different temperature ranges, the technical effect of significantly improving the cooling efficiency of the motor and extending the service life of the equipment can be achieved. The adaptive cooling control method and system for an integrated variable-frequency motor proposed in the present application obtain operation frequency data by real-time operation monitoring of the integrated variable-frequency motor; perform cooling determination based on the operation frequency data and determine multiple cooling modes according to the determination result, the multiple cooling modes including a first cooling mode and a second cooling mode; perform a first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain first temperature feedback data, and perform a second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain second temperature feedback data; perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjust the output power according to the cooling control result, and formulate a power operation safety strategy. Brief Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings of the embodiments of the present disclosure will be briefly introduced below. Flowcharts are used in this application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations described above or below do not necessarily need to be performed precisely in order. On the contrary, as needed, they can be performed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1 Schematic flow diagram of the adaptive cooling control method for the integrated variable-frequency motor provided by the embodiment of the present application;

[0018] Figure 2 Schematic structural diagram of the adaptive cooling control system for the integrated variable-frequency motor provided by the embodiment of the present application.

[0019] Explanation of reference numerals: operation monitoring module 11, cooling mode determination module 12, temperature feedback module 13, cooling control module 14. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to be able to understand the technical means of the present application more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0022] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first" and "second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily limit to those clearly listed steps or units, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] The embodiment of the present application provides an adaptive cooling control method and system for an integrated variable-frequency motor, as Figure 1 shown, the method includes:

[0024] Perform real-time operation monitoring on the integrated variable-frequency motor to obtain operation frequency data; perform cooling determination based on the operation frequency data, and determine multiple cooling modes according to the determination result, where the multiple cooling modes include a first cooling mode and a second cooling mode;

[0025] Perform real-time operation monitoring on the integrated variable-frequency motor through a multi-sensor fusion module to obtain the operation frequency data of the integrated variable-frequency motor. The integrated variable-frequency motor refers to a structure in which a variable-frequency driver, a motor main body, and a cooling device are integrated and packaged together, effectively reducing the installation space and improving the system response speed. During the monitoring process, the multi-sensor fusion module is composed of a Hall sensor and an optical encoder. Subsequently, perform cooling determination based on the operation frequency data, and determine multiple cooling modes according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode, and the corresponding cooling control methods for different cooling modes are different.

[0026] The method provided by the embodiment of the present application further includes: performing real-time acquisition on the integrated variable-frequency motor through a multi-sensor fusion module to obtain the rotation speed signal of the motor rotor; performing dynamic noise cancellation processing on the rotation speed signal, generating a denoised rotation speed sequence for frequency conversion to obtain initial operation frequency data; calculating the mean value, variance, and instantaneous fluctuation value of the initial operation frequency data through a sliding window algorithm; using the mean value as the main frequency value, and constructing a frequency credibility index in combination with the variance and the instantaneous fluctuation value; performing cross-validation on the initial operation frequency data according to the frequency credibility index to determine the operation frequency data.

[0027] Perform real-time operation monitoring on an integrated variable-frequency motor to obtain operation frequency data. The method includes: performing real-time acquisition on the integrated variable-frequency motor through a multi-sensor fusion module to obtain the rotational speed signal of the motor rotor. The multi-sensor fusion module consists of a Hall sensor and an optical encoder. The Hall sensor utilizes the Hall effect principle to sense the magnetic field change, thereby obtaining the rotational speed signal of the motor rotor. It monitors the rotational speed of the motor by sensing the movement of the rotor. The optical encoder precisely measures the angular displacement and angular velocity of the rotor through the interaction between the encoding disk and the optical sensor. Further, perform dynamic noise cancellation processing on the acquired rotational speed signal, mainly removing pseudo signals caused by electromagnetic interference, external vibration, etc. Methods such as the Kalman filter algorithm can be used to suppress the noise and generate a denoised rotational speed sequence. Further, perform frequency conversion on the denoised rotational speed sequence through the conversion formula between frequency and rotational speed to obtain the initial operation frequency data. Further, set the sliding window length, for example, three data are set as a sliding window, and the specific data setting can be adjusted according to actual needs. The higher the accuracy, the shorter the corresponding sliding window. Calculate the mean, variance, and instantaneous fluctuation value of the initial operation frequency data within the sliding window. The mean is the average of the operation frequencies calculated within the sliding window, which is used to represent the stable operation frequency of the motor. The variance is the degree of dispersion of the data within the window. The larger the variance, the greater the fluctuation of the motor operation frequency, indicating that there may be abnormalities. The instantaneous fluctuation value is the short-term fluctuation of the motor frequency, which can reflect the working state of the motor.

[0028] Use the mean as the main frequency value, and construct a frequency credibility index by combining the variance and the instantaneous fluctuation value. The frequency credibility index is obtained by normalizing the above data and performing weighted calculation, where the weight of the mean is greater than the sum of the weights of the variance and the instantaneous fluctuation value. The specific weight parameters can be set based on actual demand preferences. For example, if it is necessary to judge the stability of the motor, the weight of the variance is greater than the weight of the instantaneous fluctuation value. Finally, perform cross-validation on the initial operation frequency data according to the frequency credibility index to determine the operation frequency data, that is, the actual operation frequency data. The cross-validation is that when the frequency credibility index is lower than the preset threshold, start the verification mechanism, synchronously read the frequency register value of the internal controller of the frequency converter and compare it with the initial operation frequency data for verification, and judge whether the two data are consistent. When there is an inconsistency, correct the frequency of the internal controller of the frequency converter based on the initial operation frequency data to determine the operation frequency data. The frequency of the internal controller of the frequency converter is the frequency of the motor control signal. Since the motor may be affected by working environments such as high temperature and frequent start-stop during actual operation, through the cross-validation mechanism, recalculate and correct the frequency data to ensure that subsequent cooling mode decisions are not interfered with.

[0029] The method provided by the embodiment of the present application further includes: setting a frequency threshold of the integrated variable-frequency motor, determining a cooling mode for the operating frequency data based on the frequency threshold, and generating a cooling mode instruction; retrieving the real-time load rate of the motor and the ambient temperature data for floating analysis, and establishing a dynamic frequency threshold correction sequence; dynamically compensating the frequency threshold according to the dynamic frequency threshold correction sequence to generate a dynamic frequency threshold; when the operating frequency data is greater than or equal to the dynamic frequency threshold, activating the first cooling mode according to the cooling mode instruction; when the operating frequency data is less than the dynamic frequency threshold, activating the second cooling mode according to the cooling mode instruction.

[0030] Specifically, cooling determination is performed based on the operating frequency data, and multiple cooling modes are determined according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode. The method includes: setting a frequency threshold of the integrated variable-frequency motor. The frequency threshold of the integrated variable-frequency motor is preferably 30 Hz, and this threshold is the upper limit of the operating frequency for the normal operation of the motor. When the operating frequency value of the motor is greater than or equal to this threshold, the motor will enter a state that requires higher cooling. The cooling mode is determined for the operating frequency data through the frequency threshold, and a cooling mode instruction is generated. Further, the real-time load rate of the motor and the ambient temperature data are retrieved for floating analysis to obtain the upper limit of the operating frequency for the normal operation of the motor under different load rates and ambient temperature data, thereby establishing a dynamic frequency threshold correction sequence. The dynamic frequency threshold correction sequence is composed of multiple sets of real-time load rates of the motor and ambient temperature data and the corresponding frequency thresholds. Exemplarily, ambient temperature: 40 °C, load rate: 80%, actual determination threshold: 23 Hz. Ambient temperature: 20 °C, load rate: 50%, actual determination threshold: 32 Hz. Further, the frequency threshold is dynamically compensated according to the dynamic frequency threshold correction sequence to generate a dynamic frequency threshold. Taking the above dynamic frequency threshold correction sequence as an example, the dynamically compensated dynamic frequency threshold is: when the ambient temperature is higher than 40 °C and the load rate exceeds 80%, the actual determination threshold is reduced to 23 Hz to activate the strong cooling fan in advance. When the ambient temperature is lower than 20 °C and the load rate is lower than 50%, the actual determination threshold is increased to 32 Hz to delay the start of the strong cooling fan. When the operating frequency data is greater than or equal to the dynamic frequency threshold, the first cooling mode is activated according to the cooling mode instruction. The first cooling mode is to start the self-fan cooling system of the motor. When the operating frequency data is less than the dynamic frequency threshold, the second cooling mode is activated according to the cooling mode instruction, and a strong cooling fan start instruction is generated to control the independent strong cooling fan to perform forced air cooling on the motor.

[0031] Perform the first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain the first temperature feedback data, perform the second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain the second temperature feedback data; perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjust the output power according to the cooling control result, and formulate a power operation safety strategy.

[0032] Perform the first cooling operation on the integrated variable-frequency motor according to the first cooling mode, that is, activate the motor self-fan cooling system, and obtain the first temperature feedback data. Perform the second cooling operation on the integrated variable-frequency motor according to the second cooling mode, that is, start the forced cooling fan, control the independent forced cooling fan to perform forced air cooling on the motor, and obtain the second temperature feedback data. Finally, perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data. Finally, perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjust the output power according to the cooling control result, and formulate a power operation safety strategy. The power operation safety strategy is to define multiple power safety intervals. When the detected temperature exceeds a certain level, the system enters a warning state or automatically limits power operation. This solves the technical problem that most of the existing integrated variable-frequency motor cooling methods rely on a cooling system with a fixed frequency and cannot be adaptively adjusted according to the actual load, temperature change, and dynamic requirements of the operating frequency, resulting in low cooling efficiency and overheating damage to the motor. By real-time monitoring the motor operating frequency and judging the cooling demand based on this data, combining dynamic temperature feedback and cooling control modes, generating an adaptive cooling strategy, being able to dynamically adjust the motor output power, and performing pulse-type boost cooling cycles and cooling efficiency evaluations in different temperature intervals, thus significantly improving the cooling efficiency of the motor and extending the service life of the equipment.

[0033] The method provided by the embodiment of the present application further includes: controlling the start of the self-fan cooling system built in the motor through the first cooling mode, driving the fan blades to generate a cooling air flow by the rotation of the rotor, obtaining first cooling control data, where the first cooling control data includes the output power data of the frequency converter and the self-fan rotation speed data; performing a linear analysis based on the output power data of the frequency converter and the self-fan rotation speed data to determine the target fan rotation speed; performing voltage matching on the self-fan motor according to the target fan rotation speed to obtain the target driving voltage; detecting the temperature of the integrated variable-frequency motor according to the target driving voltage combined with the target fan rotation speed, formulating a motor temperature change list, and adding the motor temperature change list to the first temperature feedback data; turning off the self-fan motor and starting an independent strong cooling fan according to the second cooling mode, outputting a forced air cooling air flow to the motor winding directionally, obtaining second cooling control data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling control data to obtain the second temperature feedback data.

[0034] Performing a first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain second temperature feedback data. The method includes: controlling the start of the self-fan cooling system built in the motor through the first cooling mode, driving the fan blades to generate a cooling air flow by the rotation of the rotor, obtaining first cooling control data, where the first cooling control data includes the output power data of the frequency converter and the self-fan rotation speed data, and the output power data of the frequency converter is the output power of the current motor. The self-fan rotation speed data is the rotation speed of the fan. Subsequently, performing a linear analysis based on the output power data of the frequency converter and the self-fan rotation speed data to determine the target fan rotation speed. Performing voltage matching on the self-fan motor according to the target fan rotation speed to obtain the target driving voltage. Further, detecting the temperature of the integrated variable-frequency motor according to the target driving voltage combined with the target fan rotation speed, formulating a motor temperature change list according to the detection result, and adding the motor temperature change list to the first temperature feedback data. The first temperature feedback data uses the distributed optical fiber sensing technology to lay optical fibers along the motor structure to achieve linear / planar continuous measurement, and records the temperature change curves of multiple parts of the motor such as the housing, winding, end cover, etc.

[0035] According to the second cooling mode, turn off the self-fan motor and start the independent forced cooling fan to direct the forced air cooling airflow to the motor winding, and obtain the second cooling control data. The second cooling control data is the generated PWM control signal used to adjust the speed of the forced cooling fan. The difference between the PWM duty cycle and the value of 30 Hz - the current frequency is in a proportional relationship. After the forced cooling fan is started, continuously monitor the temperature change rate of the motor winding. If the temperature drop rate does not reach the expectation, increase the PWM duty cycle step by step until the maximum output. When the frequency rises above 32 Hz, turn off the forced cooling fan after a 5-second delay to avoid frequent start and stop. Perform the second cooling operation on the integrated variable-frequency motor according to the second cooling control data, and obtain the second temperature feedback data. The second temperature feedback data performs the acquisition of the motor infrared thermal imaging temperature field data based on the infrared thermal image. Calculate the initial starting power of the forced cooling fan according to the difference between 30 Hz and the current frequency value. For every 1 Hz increase in the difference, the corresponding power increases by 15%. During the operation of the forced cooling fan, continuously monitor the winding temperature drop rate. If the rate is lower than 0.5 °C / s, increase the fan speed step by step at a 10% step until the maximum power. When the frequency rises above 32 Hz, maintain the operation of the forced cooling fan for 10 seconds and then switch back to the first cooling mode.

[0036] The method provided by the embodiment of the present application further includes: performing multi-modal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix; performing closed-loop control on the output power according to the comprehensive temperature feature matrix to generate power adjustment amplitude data; triggering protection actions in a hierarchical manner according to the real-time temperature deviation rate and the power adjustment amplitude data, and constructing the power operation safety strategy.

[0037] Perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, and perform dynamic adjustment of the output power according to the cooling control result to formulate a power operation safety strategy. The method includes: performing multi-modal data fusion on the first temperature feedback data set and the second temperature feedback data set to obtain a comprehensive temperature feature matrix. Further, perform closed-loop control on the output power according to the comprehensive temperature feature matrix, and dynamically adjust the output power of the cooling system and the operating power of the motor through the closed-loop control algorithm, thereby generating power adjustment amplitude data. Closed-loop control is a feedback regulation mechanism that continuously adjusts according to the difference between the current operating state of the system and the target, so as to achieve stable control. Exemplarily, if a certain hot spot temperature is 83 °C, the temperature rise rate is +2.4 °C / min, and the proportion of the hot spot area is 18%, the system generates a power adjustment amplitude ΔP = -1.0 kW. Finally, trigger protection actions in a hierarchical manner according to the real-time temperature deviation rate and the power adjustment amplitude data, and construct the power operation safety strategy. The power operation safety strategy is to execute a multi-level load reduction protocol and synchronously optimize the cooling resource configuration when detecting a temperature out-of-control risk to maintain the system operating within the safe energy efficiency range.

[0038] The method provided by the embodiment of the present application further includes: performing dynamic filtering processing on the first temperature feedback data set to extract effective temperature characteristic values; generating a self-fan speed regulation instruction based on the deviation amount between a preset temperature safety threshold and the effective temperature characteristic values; dynamically adjusting the target drive voltage of the self-fan motor according to the self-fan speed regulation instruction to update the first temperature feedback data set; performing dynamic threshold analysis on the second temperature feedback data set to identify high-temperature hot spots and cooling blind spots, extracting features according to the high-temperature hot spots and the cooling blind spots, and determining the high-temperature hot spot distribution characteristics; generating a strong cooling fan power regulation instruction based on the high-temperature hot spot distribution characteristics and the operating frequency data; dynamically adjusting the output power according to the strong cooling fan power regulation instruction to update the second temperature feedback data set.

[0039] Before performing multi-modal data fusion on the first temperature feedback data set and the second temperature feedback data set, the method includes: performing dynamic filtering processing on the first temperature feedback data set to extract effective temperature characteristic values. Further, for the deviation amount between the preset temperature safety threshold and the effective temperature characteristic values, the temperature safety threshold is the highest temperature threshold of the preset safe operating environment. According to the deviation amount between the preset temperature safety threshold and the effective temperature characteristic values, when the deviation amount is greater than the preset deviation threshold, there is abnormal temperature fluctuation at this time, and a self-fan speed regulation instruction is generated. Dynamically adjusting the target drive voltage of the self-fan motor according to the self-fan speed regulation instruction and updating the first temperature feedback data set, that is, when detecting abnormal temperature fluctuation, activating the standby cooling strategy, superimposing a pulse boost cycle on the basis of self-fan cooling to enhance the instantaneous cooling intensity.

[0040] Performing dynamic threshold analysis on the second temperature feedback data set to identify high-temperature hot spots and cooling blind spots, where the high-temperature hot spot area is the area where the highest temperature point in each high-temperature area is located, and the cooling blind spot is the area where the temperature change is not obvious after cooling, such as the area where the temperature drop rate is significantly less than the average drop rate of other positions. Extracting features according to the high-temperature hot spot area and the cooling blind spot to obtain the distribution positions and quantities of the high-temperature hot spot area and the cooling blind spot, and determining the high-temperature hot spot distribution characteristics. Pre-constructing the mapping relationship between the high-temperature hot spot distribution characteristics, the operating frequency data and the cooling fan power, and determining the cooling fan power based on the combination of the high-temperature hot spot distribution characteristics and the operating frequency data and the mapping relationship with the cooling fan power, so as to generate a strong cooling fan power regulation instruction. When detecting insufficient cooling efficiency, the fan speed is increased in stages according to the high-temperature hot spot distribution characteristics and the operating frequency data, and the air flow distribution is optimized according to the distribution position. Dynamically adjusting the output power according to the strong cooling fan power regulation instruction to update the second temperature feedback data set.

[0041] The method provided by the embodiment of the present application further includes: extracting distributed optical fiber temperature gradient data based on the first temperature feedback data, and extracting infrared thermal imaging temperature field data based on the second temperature feedback data; performing three-dimensional mapping on the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data to generate a fused temperature distribution cloud map; traversing the fused temperature distribution cloud map for high-temperature analysis, performing regional division calculation on the fused temperature distribution cloud map according to the analysis result, and determining the proportion of the high-temperature area; performing high-temperature marking on the fused temperature distribution cloud map based on the proportion of the high-temperature area combined with the analysis result, and determining the positions of multiple temperature points; extracting the temperature change rate based on the fused temperature distribution cloud map, and mapping and arranging the proportion of the high-temperature area and the positions of the multiple temperature points according to the temperature change rate to construct the comprehensive temperature feature matrix.

[0042] Perform multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix. The method includes: extracting distributed optical fiber temperature gradient data based on the first temperature feedback data, where the temperature gradient data is the temperature change situation of the motor at different positions, and extracting infrared thermal imaging temperature field data based on the second temperature feedback data. Perform three-dimensional mapping on the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data through a spatio-temporal alignment algorithm, align both the time and spatial coordinates of the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data, and eliminate the time delay and spatial resolution difference between sensors through a Kalman filter, thereby generating a fused temperature distribution cloud map. Further, traverse the fused temperature distribution cloud map for high-temperature analysis to obtain the areas where the temperature values exceed the temperature setting threshold. Perform regional division calculation on the fused temperature distribution cloud map according to the analysis result, obtain the ratio of the area of each high-temperature area in the analysis result to the area of the fused temperature distribution cloud map, and determine the proportion of the high-temperature area. Further, perform high-temperature marking on the fused temperature distribution cloud map based on the proportion of the high-temperature area combined with the analysis result, mark the center of the distribution position of the high-temperature area, and determine the positions of multiple temperature points. Finally, extract the temperature change rate based on the fused temperature distribution cloud map, where the temperature change rate is the temperature change rate corresponding to the high-temperature area. Map and arrange the proportion of the high-temperature area and the positions of the multiple temperature points according to the temperature change rate, that is, correspond the temperature change rate with the proportion of the high-temperature area and the positions of the multiple temperature points to construct the comprehensive temperature feature matrix.

[0043] The method provided by the embodiments of the present application further includes: constructing a temperature-power dynamic association mapping table based on the cooling control result, calculating the power of the integrated variable-frequency motor through the temperature-power dynamic association mapping table to obtain the motor output power; generating a power adjustment instruction according to the real-time temperature deviation rate and the power load rate, and dynamically adjusting the output frequency of the frequency converter according to the power adjustment instruction to match the safe power range; determining whether the motor output power is within the safe power range, and if not, activating the target power operation safety level to continuously optimize the motor output power and constructing the power operation safety strategy.

[0044] Performing dynamic adjustment of the output power according to the cooling control result and formulating a power operation safety strategy. The method includes: constructing a temperature-power dynamic association mapping table based on the cooling control result, and the temperature-power dynamic association mapping table is a dynamic association mapping relationship between the motor temperature range and the output power. Calculating the power of the integrated variable-frequency motor according to the temperature-power dynamic association mapping table, so as to obtain the motor output power corresponding to the current motor temperature, that is, the maximum output power allowed by the motor currently.

[0045] Further, comparing the current temperature with the mapping table to obtain the real-time temperature deviation rate and the power load rate to generate a power adjustment instruction. The temperature deviation rate is the degree of deviation between the current temperature and the safety threshold, and the power load rate is the ratio of the current actual output power of the motor to the rated power, indicating the load level. If the temperature deviation rate is large, it means that the temperature rises rapidly, and if the power load rate is large, it means that the motor is operating under high load, and the risk increases. When the above situation occurs, the system determines that it is necessary to actively reduce the power to enter the safe working area. Dynamically adjusting the output frequency of the frequency converter according to the power adjustment instruction, and the instruction includes information such as the target output power, the frequency adjustment amount, and the adjustment strategy level such as gentle / rapid / urgent, etc. The system determines the adjustment amplitude according to the temperature change rate and the load intensity. Exemplarily, the current actual temperature: 78 °C, the safety threshold temperature: 75 °C, the current power: 6.8 kW, and the rated power: 7.5 kW. At this time, the temperature deviation rate = (78 - 75) / 75 = 4%, and the power load rate = 6.8 / 7.5 ≈ 90.7%. Since the power load rate is relatively high, the system issues an adjustment instruction: reduce the output power target to 6.0 kW, control the output frequency of the frequency converter to drop from 38 Hz to 31 Hz, and enter the temperature control protection state. And match the safe power range of the motor. Determine whether the motor output power is within the safe power range, and if not, activate the target power operation safety level to continuously optimize to maintain the motor output power of the system within the safe energy efficiency range and construct the power operation safety strategy.

[0046] The method provided by the embodiment of the present application further includes: defining cooling power levels corresponding to multiple temperature ranges according to the temperature-power dynamic association mapping table; determining whether the motor output power is within the safe power range and judging the real-time temperature data of the integrated variable-frequency motor; when the real-time temperature data exceeds the critical value, superimposing the motor output power, determining a pulse-type supercharged cooling period, using the pulse-type supercharged cooling period as an index to retrieve the cooling power levels corresponding to the multiple temperature ranges, and determining the target power operation safety level; when the real-time temperature data is lower than the critical value, entering the power holding mode to hold the motor output power, evaluating the cooling efficiency of the integrated variable-frequency motor, generating a cooling evaluation result, using the cooling evaluation result as an index to retrieve the cooling power levels corresponding to the multiple temperature ranges, and determining the target power operation safety level.

[0047] Define cooling power levels corresponding to multiple temperature ranges according to the temperature-power dynamic association mapping table. The operating temperature of the motor can be divided into multiple levels, such as safe, warning, risk, critical, etc., and each level corresponds to different cooling and power output strategies. The cooling power level is the range level of the maximum output power recommended or allowed for the motor in a certain temperature range. Exemplarily, the rated power of the safe level is 100%, the rated power of the warning level is 90%, the rated power of the risk level is 80%, and the rated power of the critical level is less than 60%. Determine whether the motor output power is within the safe power range. By obtaining the current temperature, such as the winding temperature being 82 °C, retrieve the temperature range 81 - 85 °C where the current temperature is located, and this temperature range corresponds to the risk level of 80% rated power. At this time, the motor output power is 4 kW, and the motor rated power is 5 kW, and it does not exceed the safe power range at this time. When the real-time temperature data exceeds the critical value, superimpose the motor output power, superimpose a pulse supercharging period on the basis of self-fan cooling, determine a pulse-type supercharged cooling period. The pulse-type supercharged cooling period is a preset short-term enhanced cooling mechanism, and quickly reduces the motor hot spot temperature by means of intermittent high-intensity fan operation, etc. Use the pulse-type supercharged cooling period as an index to retrieve the cooling power levels corresponding to the multiple temperature ranges, and determine the target power operation safety level. The operation safety level corresponds to the multiple levels divided by the operating temperature. That is, using the current pulse cycle number as an index, match the temperature range-cooling power level table to judge the target safety level to be transferred to in the next stage.

[0048] When the real-time temperature data is lower than the critical value, that is, when the temperature returns below the safe level, it enters the power holding mode to hold the output power of the motor. That is, on the premise of the current stable temperature control structure, the output power remains unchanged. The system starts a cooling evaluation task in the holding mode to evaluate the cooling efficiency of the integrated variable-frequency motor, evaluate the temperature drop rate, the temperature control response time (i.e., the time from triggering cooling to temperature stabilization), and the temperature rebound rate (the temperature rise speed after cooling stops), and generates a cooling evaluation result. The cooling evaluation result is evaluated in the form of a preset cooling efficiency index threshold. If the temperature drop rate is greater than the corresponding set threshold, the temperature control response time is less than the corresponding set threshold, and the temperature rebound rate is less than the corresponding set threshold, then the evaluation passes. If the evaluation passes, the power is gradually reduced in 10% steps. The cooling evaluation result is used as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals in the temperature-power dynamic correlation mapping table according to the corresponding power adjustment amplitude, and the target power operation safety level is determined.

[0049] In the foregoing, reference is made to Figure 1 which describes in detail the adaptive cooling control method of the integrated variable-frequency motor according to the embodiments of the present invention. Next, reference will be made to Figure 2 describe the adaptive cooling control system of the integrated variable-frequency motor according to the embodiments of the present invention.

[0050] The adaptive cooling control system of the integrated variable-frequency motor according to the embodiments of the present invention solves the technical problems in the prior art that most of the cooling methods of the integrated variable-frequency motor rely on a cooling system with a fixed frequency and cannot be adaptively adjusted according to the dynamic requirements of the actual load, temperature change, and operating frequency, resulting in low cooling efficiency and overheating damage of the motor. By real-time monitoring the operating frequency of the motor and judging the cooling demand based on this data, combining dynamic temperature feedback and cooling control modes, generating an adaptive cooling strategy, it can dynamically adjust the output power of the motor and execute pulsed boost cooling cycles and cooling efficiency evaluations in different temperature intervals, thereby significantly improving the cooling efficiency of the motor and extending the service life of the equipment. The adaptive cooling control system of the integrated variable-frequency motor includes: an operation monitoring module 11, a cooling mode determination module 12, a temperature feedback module 13, and a cooling control module 14.

[0051] The operation monitoring module 11 is used to perform real-time operation monitoring on the integrated variable-frequency motor to obtain operation frequency data;

[0052] The cooling mode determination module 12 is used to perform cooling determination based on the operation frequency data and determine multiple cooling modes according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode;

[0053] A temperature feedback module 13 is configured to perform a first cooling operation on the integrated variable-frequency motor according to the first cooling mode, obtain first temperature feedback data, perform a second cooling operation on the integrated variable-frequency motor according to the second cooling mode, and obtain second temperature feedback data;

[0054] A cooling control module 14 is configured to perform cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjust the output power according to the cooling control result, and formulate a power operation safety strategy.

[0055] Next, the specific configuration of the operation monitoring module 11 will be described in detail. The surface operation monitoring module 11 may further include: performing real-time operation monitoring on the integrated variable-frequency motor to obtain operation frequency data. The method includes: performing real-time acquisition on the integrated variable-frequency motor through a multi-sensor fusion module to obtain a rotational speed signal of the motor rotor; performing dynamic noise cancellation processing on the rotational speed signal to generate a denoised rotational speed sequence for frequency conversion to obtain initial operation frequency data; calculating the mean, variance, and instantaneous fluctuation value of the initial operation frequency data through a sliding window algorithm; using the mean as the main frequency value, combining the variance and the instantaneous fluctuation value to construct a frequency credibility index; performing cross-validation on the initial operation frequency data according to the frequency credibility index to determine the operation frequency data.

[0056] Next, the specific configuration of the cooling mode determination module 12 will be further described in detail. The cooling mode determination module 12 further includes: performing a cooling determination based on the operation frequency data, and determining multiple cooling modes according to the determination result. The multiple cooling modes include a first cooling mode and a second cooling mode. The method includes: setting a frequency threshold for the integrated variable-frequency motor, performing a cooling mode determination on the operation frequency data based on the frequency threshold to generate a cooling mode instruction; retrieving the real-time load rate of the motor and the ambient temperature data for floating analysis to establish a dynamic frequency threshold correction sequence; dynamically compensating the frequency threshold according to the dynamic frequency threshold correction sequence to generate a dynamic frequency threshold; when the operation frequency data is greater than or equal to the dynamic frequency threshold, activating the first cooling mode according to the cooling mode instruction; when the operation frequency data is less than the dynamic frequency threshold, activating the second cooling mode according to the cooling mode instruction.

[0057] Next, the specific configuration of the temperature feedback module 13 will be described in detail. The temperature feedback module 13 may further include: performing a first cooling operation on the integrated variable-frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling mode to obtain second temperature feedback data. The method includes: controlling the built-in self-fan cooling system of the motor to start through the first cooling mode, driving the fan blades to generate a cooling air flow by the rotation of the rotor, and obtaining first cooling control data, where the first cooling control data includes inverter output power data and self-fan rotation speed data; performing linear analysis based on the inverter output power data and the self-fan rotation speed data to determine the target fan rotation speed; performing voltage matching on the self-fan motor according to the target fan rotation speed to obtain a target driving voltage; performing temperature detection on the integrated variable-frequency motor according to the target driving voltage combined with the target fan rotation speed, formulating a motor temperature change list, and adding the motor temperature change list to the first temperature feedback data; closing the self-fan motor and starting an independent strong cooling fan according to the second cooling mode, and outputting a forced air cooling air flow to the motor winding directionally to obtain second cooling control data, and performing a second cooling operation on the integrated variable-frequency motor according to the second cooling control data to obtain the second temperature feedback data.

[0058] Next, the specific configuration of the cooling control module 14 will be described in detail. The cooling control module 14 further includes: performing cooling control on the integrated variable-frequency motor according to the first temperature feedback data and the second temperature feedback data, and dynamically adjusting the output power according to the cooling control result to formulate a power operation safety strategy. The method includes: performing multi-modal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix; performing closed-loop control on the output power according to the comprehensive temperature feature matrix to generate power adjustment amplitude data; triggering protection actions in a hierarchical manner according to the real-time temperature deviation rate and the power adjustment amplitude data to construct the power operation safety strategy.

[0059] Next, the specific configuration of the temperature feedback module 13 will be described in detail. The temperature feedback module 13 may further include: Before performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set, the method includes: performing dynamic filtering processing on the first temperature feedback data set to extract effective temperature feature values; generating a self-fan speed adjustment instruction based on the deviation between a preset temperature safety threshold and the effective temperature feature values; dynamically adjusting the target drive voltage of the self-fan motor according to the self-fan speed adjustment instruction to update the first temperature feedback data set; performing dynamic threshold analysis on the second temperature feedback data set to identify high-temperature hot spots and cooling blind spots, extracting features according to the high-temperature hot spots and the cooling blind spots, and determining the high-temperature hot spot distribution characteristics; generating a strong cooling fan power adjustment instruction based on the high-temperature hot spot distribution characteristics and the operating frequency data; dynamically adjusting the output power according to the strong cooling fan power adjustment instruction to update the second temperature feedback data set.

[0060] Next, the specific configuration of the cooling control module 14 will be described in detail. The cooling control module 14 further includes: performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix. The method includes: extracting distributed optical fiber temperature gradient data based on the first temperature feedback data, and extracting infrared thermal imaging temperature field data based on the second temperature feedback data; performing three-dimensional mapping on the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data to generate a fusion temperature distribution cloud map; traversing the fusion temperature distribution cloud map for high-temperature analysis, performing regional division calculation on the fusion temperature distribution cloud map according to the analysis results to determine the proportion of the high-temperature area; performing high-temperature marking on the fusion temperature distribution cloud map based on the proportion of the high-temperature area combined with the analysis results to determine the positions of multiple temperature points; extracting the temperature change rate based on the fusion temperature distribution cloud map, and mapping and arranging the proportion of the high-temperature area and the positions of the multiple temperature points according to the temperature change rate to construct the comprehensive temperature feature matrix.

[0061] Next, the specific configuration of the cooling control module 14 will be described in detail. The cooling control module 14 further includes: dynamically adjusting the output power according to the cooling control result and formulating a power operation safety strategy. The method includes: constructing a temperature-power dynamic association mapping table based on the cooling control result, calculating the power of the integrated variable-frequency motor through the temperature-power dynamic association mapping table to obtain the motor output power; generating a power adjustment instruction according to the real-time temperature deviation rate and the power load rate, dynamically adjusting the output frequency of the frequency converter according to the power adjustment instruction to match the safe power range; determining whether the motor output power is within the safe power range. If it is not, activate the target power operation safety level to continuously optimize the motor output power and construct the power operation safety strategy.

[0062] Next, the specific configuration of the cooling control module 14 will be described in detail. The cooling control module 14 further includes: activating the target power operation safety level to continuously optimize the motor output power. The method includes: defining the cooling power levels corresponding to multiple temperature intervals according to the temperature-power dynamic association mapping table; judging whether the motor output power is within the safe power range and determining the real-time temperature data of the integrated variable-frequency motor; when the real-time temperature data exceeds the critical value, superimposing the motor output power, determining the pulse-type pressurized cooling period, using the pulse-type pressurized cooling period as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals to determine the target power operation safety level; when the real-time temperature data is lower than the critical value, enter the power holding mode to hold the motor output power, evaluate the cooling efficiency of the integrated variable-frequency motor, generate a cooling evaluation result, and use the cooling evaluation result as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals to determine the target power operation safety level.

[0063] The adaptive cooling control system of the integrated variable-frequency motor provided by the embodiment of the present invention can execute the adaptive cooling control method of the integrated variable-frequency motor provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0064] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The included individual units and modules are only divided according to the functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0065] The above specific embodiments do not constitute a limitation on the protection scope of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

1. An adaptive cooling control method for an integrated variable frequency motor, characterized in that: The method comprises: Monitor the integrated variable frequency motor in real time and obtain the operating frequency data; Perform cooling determination based on the operating frequency data, and determine a plurality of cooling modes according to the determination result, wherein the plurality of cooling modes include a first cooling mode and a second cooling mode; Performing a first cooling operation on the integrated variable frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable frequency motor according to the second cooling mode to obtain second temperature feedback data; The integrated variable frequency motor is cooled and controlled according to the first temperature feedback data and the second temperature feedback data, the output power is dynamically adjusted according to the cooling control result, and a power operation safety strategy is formulated.

2. The adaptive cooling control method for an integrated variable frequency motor according to claim 1, characterized in that: Real-time operation monitoring of the integrated variable frequency motor is performed to obtain the operation frequency data, and the method includes: The integrated variable frequency motor is collected in real time through the multi-sensor fusion module to obtain the speed signal of the motor rotor; Performing dynamic noise elimination processing on the speed signal to generate a speed sequence after noise elimination for frequency conversion to obtain initial operating frequency data; Calculating the mean, variance and instantaneous fluctuation value of the initial operating frequency data by a sliding window algorithm; Taking the mean as the main frequency value, and combining the variance with the instantaneous fluctuation value to construct a frequency credibility index; The initial operating frequency data is cross-validated according to the frequency credibility index to determine the operating frequency data.

3. The adaptive cooling control method for an integrated variable frequency motor according to claim 1, characterized in that: A cooling determination is performed based on the operating frequency data, and a plurality of cooling modes are determined according to the determination result, wherein the plurality of cooling modes include a first cooling mode and a second cooling mode. The method includes: Setting a frequency threshold of the integrated variable frequency motor, performing cooling mode determination on the operating frequency data based on the frequency threshold, and generating a cooling mode instruction; Retrieve the real-time motor load rate and ambient temperature data for floating analysis and establish a dynamic frequency threshold correction sequence; Dynamically compensating the frequency threshold according to the dynamic frequency threshold correction sequence to generate a dynamic frequency threshold; When the operating frequency data is greater than or equal to the dynamic frequency threshold, activating the first cooling mode according to the cooling mode instruction; When the operating frequency data is less than the dynamic frequency threshold, the second cooling mode is activated according to the cooling mode instruction.

4. The adaptive cooling control method for an integrated variable frequency motor according to claim 1, characterized in that: Performing a first cooling operation on the integrated variable frequency motor according to the first cooling mode to obtain first temperature feedback data, and performing a second cooling operation on the integrated variable frequency motor according to the second cooling mode to obtain second temperature feedback data, the method comprising: The self-fan cooling system built into the motor is started by controlling the first cooling mode, and the fan blades are driven by the rotation of the rotor to generate a cooling airflow, so as to obtain first cooling control data, wherein the first cooling control data includes the inverter output power data and the self-fan speed data; Perform linear analysis based on the inverter output power data and the self-fan speed data to determine the target fan blade speed; According to the target fan blade speed, the voltage of the self-fan motor is matched to obtain the target driving voltage; Performing temperature detection on the integrated variable frequency motor according to the target driving voltage and the target fan blade speed, formulating a motor temperature change list, and adding the motor temperature change list to the first temperature feedback data; According to the second cooling mode, the self-fan motor is turned off and the independent forced cooling fan is started, and the forced air cooling airflow is output to the motor winding in a directional manner to obtain the second cooling control data, and the second cooling operation is performed on the integrated variable frequency motor according to the second cooling control data to obtain the second temperature feedback data.

5. The adaptive cooling control method for an integrated variable frequency motor according to claim 1, characterized in that: The integrated variable frequency motor is cooled and controlled according to the first temperature feedback data and the second temperature feedback data, and the output power is dynamically adjusted according to the cooling control result to formulate a power operation safety strategy. The method includes: Performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix; Performing closed-loop control on the output power according to the comprehensive temperature characteristic matrix to generate power adjustment amplitude data; The protection action is triggered in a hierarchical manner according to the real-time temperature deviation rate and the power adjustment amplitude data to construct the power operation safety strategy.

6. The adaptive cooling control method for an integrated variable frequency motor according to claim 4, characterized in that: Before performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set, the method includes: Performing dynamic filtering on the first temperature feedback data set to extract effective temperature characteristic values; Based on the deviation between the preset temperature safety threshold and the effective temperature characteristic value, generating a self-fan speed adjustment instruction; Dynamically adjust the target drive voltage of the self-fan motor according to the self-fan speed adjustment instruction, and update the first temperature feedback data set; Performing dynamic threshold analysis on the second temperature feedback data set to identify high-temperature hotspot areas and cooling blind areas, performing feature extraction based on the high-temperature hotspot areas and the cooling blind areas, and determining high-temperature hotspot distribution characteristics; Based on the high temperature hot spot distribution characteristics and the operating frequency data, generating a power adjustment instruction for a forced cooling fan; The output power is dynamically adjusted according to the forced cooling fan power adjustment instruction, and the second temperature feedback data set is updated.

7. The adaptive cooling control method for an integrated variable frequency motor according to claim 5, characterized in that: Performing multimodal data fusion on the first temperature feedback data set and the second temperature feedback data set to generate a comprehensive temperature feature matrix, the method comprising: Extracting distributed optical fiber temperature gradient data based on the first temperature feedback data, and extracting infrared thermal imaging temperature field data based on the second temperature feedback data; Performing three-dimensional mapping of the distributed optical fiber temperature gradient data and the infrared thermal imaging temperature field data to generate a fused temperature distribution cloud map; Traversing the fused temperature distribution cloud map to perform high temperature analysis, and performing regional division calculation on the fused temperature distribution cloud map according to the analysis result to determine the area ratio of the high temperature area; Based on the high temperature area ratio and the analysis result, the fused temperature distribution cloud map is marked with high temperature to determine the positions of multiple temperature points; The temperature change rate is extracted based on the fused temperature distribution cloud map, and the area ratio of the high temperature region and the positions of the multiple temperature points are mapped and arranged according to the temperature change rate to construct the comprehensive temperature feature matrix.

8. The adaptive cooling control method for an integrated variable frequency motor according to claim 5, characterized in that: Dynamically adjusting the output power according to the cooling control result and formulating a power operation safety strategy, the method includes: Building a temperature-power dynamic correlation mapping table based on the cooling control result, and performing power calculation on the integrated variable frequency motor through the temperature-power dynamic correlation mapping table to obtain the motor output power; Generate a power adjustment instruction according to the real-time temperature deviation rate and the power load rate, and dynamically adjust the output frequency of the inverter according to the power adjustment instruction to match the safe power range; Determine whether the motor output power is in the safe power range; if not, activate the target power operation safety level to continuously optimize the motor output power and construct the power operation safety strategy.

9. The adaptive cooling control method for an integrated variable frequency motor according to claim 8, characterized in that: Activate the target power operation safety level to continuously optimize motor output power by: Defining cooling power levels corresponding to multiple temperature intervals according to the temperature-power dynamic association mapping table; Determine whether the motor output power is within a safe power range and determine the real-time temperature data of the integrated variable frequency motor; When the real-time temperature data exceeds a critical value, the motor output power is superimposed to determine a pulse supercharging cooling cycle, and the pulse supercharging cooling cycle is used as an index to retrieve cooling power levels corresponding to the multiple temperature intervals to determine a target power operation safety level; When the real-time temperature data is lower than the critical value, the power retention mode is entered to maintain the motor output power, the cooling efficiency of the integrated variable frequency motor is evaluated, and a cooling evaluation result is generated. The cooling evaluation result is used as an index to retrieve the cooling power levels corresponding to the multiple temperature intervals to determine the target power operation safety level.

10. An adaptive cooling control system for an integrated variable frequency motor, characterized in that: The system is used to execute the method according to any one of claims 1 to 9, and the system comprises: Operation monitoring module, used to monitor the integrated variable frequency motor in real time and obtain operation frequency data; a cooling mode determination module, configured to perform cooling determination based on the operating frequency data, and determine a plurality of cooling modes according to the determination result, wherein the plurality of cooling modes include a first cooling mode and a second cooling mode; a temperature feedback module, configured to perform a first cooling operation on the integrated variable frequency motor according to the first cooling mode to obtain first temperature feedback data, and perform a second cooling operation on the integrated variable frequency motor according to the second cooling mode to obtain second temperature feedback data; A cooling control module is used to perform cooling control on the integrated variable frequency motor according to the first temperature feedback data and the second temperature feedback data, dynamically adjust the output power according to the cooling control result, and formulate a power operation safety strategy.

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