CN118502512A - Intelligent liquid cooling platform and operation monitoring method - Google Patents

Abstract

The present application discloses an intelligent liquid cooling platform and operation monitoring method, which belongs to the field of equipment monitoring technology, including: initializing the operation of the electronic device, and obtaining the first peak temperature, the second peak temperature and the saturation time; obtaining the first unit power temperature change value and the second unit power temperature change value; re-initializing the operation, and adjusting the output power of the heat dissipation device according to the first unit power temperature change value before the saturation time and the second unit power temperature change value after the saturation time; after adjusting the power of the heat dissipation device, obtaining the temperature data of the electronic device, and judging the volatility of the temperature data, and verifying the heat dissipation effect. In the implementation process of the technical solution of the present application, by initializing the operation of the electronic device and obtaining the saturation time, the output power adjustment amount of different heat dissipation devices is calculated with reference to the saturation time, so as to reduce the volatility of the temperature of the electronic device and improve the operation stability.

Description

Intelligent liquid cooling platform and operation monitoring method

Technical Field

The present application relates to the technical field of equipment monitoring, and specifically to an intelligent liquid cooling platform and an operation monitoring method.

Background Art

With the development of the aerospace industry, there are more and more electronic devices in aircraft and other flying vehicles. In order to ensure the normal operation of flying vehicles, these electronic devices usually need to operate at full frequency and full power. The resulting heating problem of the equipment will not only affect the performance of the equipment, but also cause the internal temperature to rise, bringing additional cooling work.

In existing usage scenarios, in order to prevent the electronic equipment in the flight vehicle from generating heat and affecting its performance, heat dissipation devices are usually installed, such as air-cooled heat dissipation devices and liquid-cooled heat dissipation devices. In recent years, liquid-air hybrid heat dissipation devices have also appeared, which combine the heat dissipation advantages of air cooling and liquid cooling to improve heat dissipation efficiency, and can detect and implement operating parameters to achieve heat dissipation adjustment, specifically fan speed adjustment and heat dissipation liquid flow rate adjustment. In this way, while the electronic equipment is dissipated, the heat dissipation device can be adjusted according to the current operating conditions to keep the electronic equipment at a suitable operating temperature at all times.

However, although the electronic equipment can be kept at an appropriate temperature by monitoring its operating conditions and adjusting the heat dissipation device, there is a lag in the heating of the electronic equipment in aircraft, that is, there is a process from the beginning of heating to the detection of heating, and there is also a process from the detection of heating to the adjustment of the heat dissipation device until the equipment cools down. These processes will cause a window period for the heat dissipation of the electronic equipment. For electronic equipment that is sensitive to temperature changes, this window period will cause unstable equipment operation and cause serious consequences. Therefore, the monitoring method needs to be improved.

Therefore, it is necessary to provide an intelligent liquid cooling platform and an operation monitoring method to solve the above problems.

It should be noted that the above information disclosed in this background technology section is only for understanding the background technology conceived of the present application, and therefore, it may contain information that does not constitute the prior art.

Summary of the invention

Based on the above-mentioned problems existing in the prior art, the problem to be solved by the present application is: to provide an intelligent liquid cooling platform and an operation monitoring method, so as to divide the temperature change of the electronic equipment into a nonlinear interval and a linear interval, and use different calculation methods to calculate the output power adjustment amount of the heat dissipation device, thereby reducing the temperature fluctuation caused by the window period between devices and improving the operation stability of the electronic equipment.

The technical solution adopted by the present application to solve the technical problem is: an operation monitoring method of an intelligent liquid cooling platform, the method comprising:

Initialize the electronic device and receive temperature data collected by the collection device during the initialization process, the temperature data having timing information, obtain a temperature change curve based on the temperature data and the timing information, and obtain a first peak temperature and a second peak temperature according to the temperature change curve, as well as saturation times corresponding to the first peak temperature and the second peak temperature;

Acquire a first unit power temperature change value before the saturation time and a second unit power temperature change value after the saturation time according to the temperature change curve;

Re-initialize the operation, and adjust the output power of the heat dissipation device according to the first unit power temperature change value before the saturation time and the second unit power temperature change value after the saturation time;

After adjusting the power of the heat dissipation device, the temperature data of the electronic device is obtained, and the volatility of the temperature data is determined to verify the heat dissipation effect.

During the implementation of the technical solution of the present application, the electronic device is initialized and operated, and the saturation time is obtained. The output power adjustment amount of different heat dissipation devices is calculated with the saturation time as a reference, thereby reducing the temperature fluctuation of the electronic device and improving the operation stability.

Furthermore, the initialization operation includes two test conditions: a state where the heat dissipation device is not turned on and a state where the heat dissipation device is turned on and maintains a rated power.

Furthermore, after the electronic devices in the two test conditions reach the peak temperature, the time corresponding to the first simultaneous appearance of the first peak temperature and the second peak temperature is the saturation time.

Furthermore, the method for obtaining the first unit power temperature change value includes:

Split the time period from the start of the initialization operation to the saturation time, and split the time period into multiple time points according to a fixed splitting interval, and obtain the first temperature and the second temperature at each time point, wherein the first temperature is the temperature of the electronic device when the heat dissipation device is not turned on, and the second temperature is the temperature of the electronic device when the heat dissipation device is at rated power;

Calculate the difference between the first temperature and the second temperature to obtain the temperature difference, and then use the ratio of the temperature difference to the split interval as the unit temperature change value at the time point;

Obtaining the rated power of the heat dissipation device, where the rated power is the total power of the heat dissipation device when the fan speed and the coolant flow rate are constant, and dividing the unit temperature change value by the rated power of the heat dissipation device to obtain a first unit power temperature change value;

The first unit power temperature change value at each time point before the saturation time is recorded and saved.

Furthermore, the method for obtaining the second unit power temperature change value is:

The difference between the first peak temperature and the second peak temperature is calculated, and the ratio of the calculated result to the rated power of the heat dissipation device is used as the second unit power temperature change value.

Furthermore, before the saturation time, the time series correspondence method is used to calculate the adjustment amount of the output power of the heat dissipation device, and after the saturation time, the linear adjustment method is used to calculate the adjustment amount of the output power of the heat dissipation device.

Furthermore, the timing correspondence method includes the following steps:

The time point for re-initialization operation is set as the initial time, and the initialization operation time is marked according to the split interval, and then the average of all the calculated first unit power temperature change values is calculated to obtain the first unit power temperature change average, and the output power adjustment amount of the heat dissipation device is calculated based on the change average and the expected temperature of the electronic device and the rated power of the heat dissipation device.

Furthermore, the linear adjustment method includes the following steps: after reaching the saturation time, calculating the output power adjustment amount of the heat dissipation device after the saturation time according to the second unit power temperature change value and the expected temperature of the electronic device, combined with the first peak temperature and the second peak temperature.

An intelligent liquid cooling platform, comprising:

An initialization operation module is used to perform initialization operation on the electronic device, and receive temperature data collected from the acquisition device during the initialization operation, the temperature data having timing information, obtain a temperature change curve based on the temperature data and the timing information, and obtain a first peak temperature and a second peak temperature, as well as a saturation time of the first peak temperature and the second peak temperature according to the temperature change curve;

A parameter acquisition module, used for acquiring a first unit power temperature change value before the saturation time and a second unit power temperature change value after the saturation time according to the temperature change curve;

An output power adjustment module, used for re-initializing operation and adjusting the output power of the heat dissipation device according to the first unit power temperature change value and the second unit power temperature change value after the saturation time;

The heat dissipation effect verification module is used to obtain the temperature data of the electronic device after the power of the heat dissipation device is adjusted, and to determine the volatility of the temperature data to verify the heat dissipation effect.

The beneficial effects of the present application are as follows: the present application provides an intelligent liquid cooling platform and operation monitoring method, which initializes the operation of the electronic equipment and obtains the saturation time, and uses the saturation time as a reference to calculate the output power adjustment amount of different heat dissipation devices, thereby reducing the temperature volatility of the electronic equipment and improving the operation stability.

In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail with reference to the drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings constituting part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

FIG1 is a schematic diagram of the overall process of an operation monitoring method of an intelligent liquid cooling platform in the present application;

FIG2 is a schematic diagram of a temperature variation curve in one case;

FIG3 is a schematic diagram of another situation of the temperature variation curve;

FIG4 is a schematic diagram of the module structure of an intelligent liquid cooling platform in the present application.

DETAILED DESCRIPTION

It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

In order to enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

Embodiment 1: The present application provides an operation monitoring method of an intelligent liquid cooling platform, and the monitoring method is used in a liquid cooling platform, and the liquid cooling platform is used for heat dissipation and cooling of electronic equipment of flight tools, such as flight control systems, navigation systems, radar systems, display devices, other sensors, etc. These devices will generate temperature when working, which may easily cause abnormal operation. The liquid cooling platform is a device for heat dissipation and cooling of the above electronic equipment, usually a combination of air cooling and liquid cooling, wherein air cooling requires the use of a fan and a corresponding wind speed regulating device, and liquid cooling requires the use of a cooling liquid and a water pump for pumping the cooling liquid;

In the prior art, the control logic of the intelligent liquid cooling platform is usually as follows: a temperature sensor is set in the monitoring area, the temperature of the monitoring area is collected in real time, and then a temperature threshold is set. When the collected temperature is lower than the temperature threshold, the heat dissipation device is not adjusted. When the collected temperature is higher than the temperature threshold, the heat dissipation device is turned on. This method ignores the window period generated in the process from the beginning of heating of the electronic equipment to the detection of temperature rise, and from the turning on of the heat dissipation device to the actual temperature drop. This window period will cause the temperature of the electronic equipment to fluctuate. In an aircraft, even if the temperature of the electronic equipment can be kept below the threshold by adjusting the heat dissipation device, the process from heating to heat dissipation will cause inevitable temperature fluctuations, which will also affect the operation of the electronic equipment, especially for devices that are sensitive to temperature fluctuations, resulting in risks in the operation of the electronic equipment.

As shown in FIG1 , in order to solve the above problem, the operation monitoring method includes the following steps:

Step A: Initializing the electronic device and receiving temperature data collected from the collection device during the initialization process, the temperature data having timing information, obtaining a temperature change curve based on the temperature data and the timing information, and obtaining a first peak temperature and a second peak temperature according to the temperature change curve, as well as saturation times corresponding to the first peak temperature and the second peak temperature;

Before the operation monitoring is performed, the electronic equipment is initialized and operated first. The initialization operation refers to the simulated operation of the electronic equipment. The simulated operation can simulate the installation and use process of the electronic equipment. The simulated operation process includes turning on the electronic equipment, running it for a fixed time and then turning it off, and monitoring the temperature changes of the electronic equipment when the heat dissipation device is at rated power and when the heat dissipation device is not turned on, instead of directly monitoring the electronic equipment after installation, so as to reduce the operation risk and obtain the temperature changes of the electronic equipment under different conditions during the initialization operation;

Among them, the acquisition device refers to a device used to collect the temperature of the electronic device, including a temperature sensor, an infrared thermometer, etc. The rated power of the heat dissipation device refers to the working power without any adjustment after the heat dissipation device is turned on. The adjustment of the heat dissipation device refers to the adjustment of the fan speed and the coolant flow rate. The collected temperature is used as the first temperature data, and the timing information of the acquisition process is recorded at the same time, that is, the time point corresponding to the temperature data is collected, so as to accurately obtain the temperature change of the electronic device during operation, and draw a temperature change curve based on the first temperature data and the timing information. The temperature change curve can be packaged into a table file for subsequent processing and retrieval and analysis by the staff. The temperature change curve is shown in Figure 2, wherein Curve 1 is the temperature change when the heat dissipation device is not turned on, and Curve 2 is the temperature change when the heat dissipation device is turned on to the rated power;

As shown in FIG. 2 , in the temperature change curve, due to the existence of the ambient temperature, the electronic device in different situations will have an initial temperature, which is the same as the ambient temperature. In curve 1, since no heat dissipation device is used, the temperature of the electronic device will increase during the simulation operation, and the rising trend will gradually slow down after reaching the first peak temperature. The first peak temperature is the maximum temperature that the electronic device can reach when it is operating normally. The first peak temperature can be used as a monitoring comparison temperature of the electronic device. If the operating temperature of the electronic device is higher than the first peak temperature without using a heat dissipation device, it means that the operation of the electronic device is abnormal and needs to be stopped for maintenance.

When the heat dissipation device is used and operated at rated power, the temperature change of the electronic device will show the change trend of curve 2. Since the heat dissipation device is added, the rated power will be maintained after the heat dissipation device is turned on, so that the temperature increase trend of the electronic device is slowed down. However, as the heat generated by the electronic device during operation gradually increases and exceeds the heat that can be dissipated by the heat dissipation device, the temperature change of the electronic device generally still shows an upward state until the temperature of the electronic device reaches the second peak temperature and remains stable. The second peak temperature is always lower than the first peak temperature, and the position derivative of the curve corresponding to the first peak temperature and the second peak temperature is zero;

After the electronic devices under the two test conditions have reached the peak temperature, the time corresponding to the first simultaneous appearance of the first peak temperature and the second peak temperature is the saturation time. As shown in FIG2 , at the saturation time, the electronic devices under the two test conditions have reached the peak temperature. Without adjusting the output power of the heat dissipation device, the two peak temperatures will not change.

Step B: acquiring a first unit power temperature change value before the saturation time and a second unit power temperature change value after the saturation time according to the temperature change curve;

After the heat dissipation device is continuously running at rated power for a period of time until the saturation time, the temperature of the electronic equipment under the two test conditions remains constant, namely the first peak temperature and the second peak temperature. Before this saturation time, it can be seen from the curve that before the electronic equipment reaches the saturation time, the temperature change of the electronic equipment under the two test conditions is nonlinear, that is, at different time points, even if the heat dissipation device is running at rated power, the temperature reduction amplitude generated by the heat dissipation device is different, because at this stage, the temperature change of the electronic equipment from startup to stable operation will start from the ambient temperature until the peak temperature, and there is a large temperature span. At the same time, the heat that the heat dissipation device can dissipate will gradually stabilize with the running time. In the early stage of the heat dissipation device, due to the transmission of heat in the medium, the small temperature difference between the ambient temperature and the temperature of the electronic equipment, etc., the heat dissipation capacity of the heat dissipation device will show nonlinear changes, that is, the temperature reduction amplitude will change with time, and it is difficult to form statistical characteristics. Therefore, it is necessary to obtain the first unit power temperature change value between the saturation time. Specifically, the method for obtaining the first unit power temperature change value is as follows:

Split the time period from the start of the initialization operation to the saturation time, and split the time period into multiple time points according to a fixed splitting interval, and obtain the first temperature and the second temperature at each time point, wherein the first temperature is the temperature of the electronic device when the heat dissipation device is not turned on, and the second temperature is the temperature of the electronic device when the heat dissipation device is at rated power;

The time period from the start of the initialization operation to the saturation time indicates the time when the electronic device reaches the peak temperature under different test conditions. In this time period, each time point corresponds to a different temperature of the electronic device, so it needs to be split. In order to improve the accuracy, it can be split according to seconds as the splitting interval, that is, the temperature value of the electronic device under different test conditions per second is obtained, and used as the first temperature and the second temperature respectively;

Calculate the difference between the first temperature and the second temperature to obtain the temperature difference, and then use the ratio of the temperature difference to the split interval as the unit temperature change value at the time point;

After the splitting is completed, each time point corresponds to a different temperature value. After the difference between the first temperature and the second temperature is calculated, the temperature difference is obtained, and the temperature difference is the unit temperature change value from the previous moment to the current moment, thereby obtaining the temperature change of the electronic device from not using a heat dissipation device to using a heat dissipation device running at rated power;

Obtaining the rated power of the heat dissipation device, where the rated power is the total power of the heat dissipation device when the fan speed and the coolant flow rate are constant, and dividing the unit temperature change value by the rated power of the heat dissipation device to obtain a first unit power temperature change value;

The unit of rated power is W (watt), the unit of unit temperature change value is degree Celsius per second (℃/s), the unit of first unit power temperature change value is ℃/sW, and the first unit power temperature change value refers to the temperature value that changes per second under unit power, indicating the heat dissipation capacity of the heat dissipation device under nonlinear conditions;

The first unit power temperature change value at each time point before the saturation time is recorded and saved.

In the time period before the saturation time point, each time point may have a different first unit power temperature change value, which is saved after the calculation is completed, and the time point corresponding to each value is recorded as a control reference.

After reaching the saturation time point, the operation of the heat dissipation device tends to be stable, and the electronic devices under different test conditions all reach the peak temperature. Therefore, the second unit power temperature change value needs to be obtained by different methods. Specifically, the method includes:

Calculating the difference between the first peak temperature and the second peak temperature, and taking the ratio of the calculation result to the rated power of the heat dissipation device as the second unit power temperature change value;

After the electronic device and the heat dissipation device have run to the saturation time, the heat dissipation capacity of the heat dissipation device no longer changes nonlinearly, that is, when the output power of the heat dissipation device is increased, the temperature of the electronic device will decrease linearly from the second peak temperature without considering the running time. Therefore, when the heat dissipation device needs to be adjusted to a specified temperature, it is only necessary to convert the second unit power temperature change value to obtain the output power increase value of the heat dissipation device, which will not cause large fluctuations in the temperature change of the electronic device.

Step C: re-initialize the operation and adjust the output power of the heat dissipation device according to the first unit power temperature change value before the saturation time and the second unit power temperature change value after the saturation time;

After the heat dissipation device and the electronic device return to the ambient temperature or are replaced, the heat dissipation device and the electronic device are re-initialized and the output power of the heat dissipation device is adjusted in the process. The adjustment process uses the saturation time as a reference. Before the saturation time, the timing correspondence method is used to calculate the adjustment amount of the output power of the heat dissipation device. After the saturation time, the linear adjustment method is used to calculate the adjustment amount of the output power of the heat dissipation device. The timing correspondence method includes the following steps:

The time point of re-initialization operation is set as the initial time, and the initialization operation time is marked according to the split interval, and then all the calculated first unit power temperature change values are averaged to obtain the first unit power temperature change mean, and the output power adjustment amount of the heat dissipation device is calculated according to the change mean;

For example, if ten time intervals are set before the saturation time, all first unit power temperature change values are summed up, and then the calculation result is divided by ten to obtain the first unit power temperature change mean value, and then the output power adjustment amount of the heat dissipation device before the saturation time is calculated according to the unit power temperature change mean value, and the output power of the heat dissipation device is adjusted;

The calculation formula of the output power adjustment amount of the heat dissipation device before the saturation time is: P1 adjustment amount = T2/T1×P rated power, where T1 is the mean value of the temperature change of the first unit power, T2 is the ratio of the difference between the expected temperature and the ambient temperature to the product of the rated power and the split interval, when the expected temperature is greater than the ambient temperature, T2 is a positive value, so the P1 adjustment amount is also a positive value, indicating that the output power of the heat dissipation device needs to be increased, when the expected temperature is less than or equal to the ambient temperature, T2 is a negative value or zero, so the P1 adjustment amount is also a negative value or zero, indicating that the output power of the heat dissipation device does not need to be adjusted, after calculating the output power adjustment amount of the heat dissipation device, the output power of the heat dissipation device is adjusted, that is, the output power of the heat dissipation device is increased or decreased, and the temperature change of the electronic device after adjusting the output power of the heat dissipation device is shown as curve 3 in Figure 3, after adjustment, the temperature change fluctuation of the electronic device is small, and after reaching the saturation time, it still does not reach the second peak temperature under the rated power, while reducing the temperature change fluctuation, the heat dissipation effect is improved;

After the saturation time, a linear adjustment method is used including:

After reaching the saturation time, the output power adjustment amount of the heat dissipation device after the saturation time is calculated, and the output power of the heat dissipation device is adjusted, wherein the method for calculating the output power adjustment amount of the heat dissipation device after the saturation time is as follows: the P2 adjustment amount is the ratio of the expected temperature of the electronic device to the difference between the first peak temperature and the second peak temperature. After the linear adjustment method is adopted, the temperature operation of the electronic device is shown as curve 4 in FIG3 . The electronic device does not reach the peak temperature during operation, nor does it produce large fluctuations.

Taking the saturation time as a reference, the timing correspondence method is used to calculate the adjustment power of the heat dissipation device before the saturation time, and the linear adjustment method is used to calculate the adjustment power of the heat dissipation device after the saturation time. The adjustment method is selected according to the temperature trend of the electronic equipment, which reduces the overall operating temperature of the electronic equipment while reducing the temperature fluctuation of the electronic equipment and improving the operating stability.

It should be noted that, since the heat dissipation device includes air cooling and liquid cooling, the PID control algorithm can be combined for implementation during regulation. For details, reference can be made to the prior art and no detailed description is given in this embodiment.

Step D: After adjusting the power of the heat dissipation device, obtain the temperature data of the electronic device, determine the volatility of the temperature data, and verify the heat dissipation effect.

After the power of the heat dissipation device is adjusted, a fluctuation analysis is performed based on the temperature data of the electronic device obtained, and whether the heat dissipation effect meets the standard can be determined by setting a fluctuation threshold. The fluctuation analysis can be implemented using statistical characteristics, such as the variance and standard deviation of the temperature data, which will not be described in detail in this embodiment.

Embodiment 2: As shown in FIG. 4 , the present application provides an intelligent liquid cooling platform, which is applied to flight equipment. The intelligent liquid cooling platform includes a heat dissipation device, which is composed of air cooling and liquid cooling. The heat dissipation device can adjust the output power according to the received signal. Specifically, the intelligent liquid cooling platform includes:

An initialization operation module is used to perform initialization operation on the electronic device, and receive temperature data collected from the acquisition device during the initialization operation, the temperature data having timing information, obtain a temperature change curve based on the temperature data and the timing information, and obtain a first peak temperature and a second peak temperature, as well as a saturation time of the first peak temperature and the second peak temperature according to the temperature change curve;

A parameter acquisition module, used for acquiring a first unit power temperature change value before the saturation time and a second unit power temperature change value after the saturation time according to the temperature change curve;

An output power adjustment module, used for re-initializing operation and adjusting the output power of the heat dissipation device according to the first unit power temperature change value and the second unit power temperature change value after the saturation time;

The heat dissipation effect verification module is used to obtain the temperature data of the electronic device after the power of the heat dissipation device is adjusted, and to determine the volatility of the temperature data to verify the heat dissipation effect.

The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. An operation monitoring method for an intelligent liquid cooling platform, characterized in that: the method comprises: initializing the operation of an electronic device, and receiving temperature data collected from an acquisition device during the initialization operation, the temperature data having timing information, obtaining a temperature change curve based on the temperature data and the timing information, and obtaining a first peak temperature and a second peak temperature according to the temperature change curve, as well as a saturation time corresponding to the first peak temperature and the second peak temperature; obtaining a first unit power temperature change value before the saturation time and a second unit power temperature change value after the saturation time according to the temperature change curve; re-initializing the operation, and adjusting the output power of a heat dissipation device according to the first unit power temperature change value before the saturation time and the second unit power temperature change value after the saturation time; after adjusting the power of the heat dissipation device, obtaining the temperature data of the electronic device, judging the volatility of the temperature data, and verifying the heat dissipation effect. 2. The operation monitoring method of an intelligent liquid cooling platform according to claim 1 is characterized in that: the initialization operation includes two test conditions: a state where the heat dissipation device is not turned on and a state where the rated power is maintained after the heat dissipation device is turned on. 3. The operation monitoring method of an intelligent liquid cooling platform according to claim 2 is characterized in that: after the electronic equipment under the two test conditions reaches the peak temperature, the time corresponding to the first simultaneous appearance of the first peak temperature and the second peak temperature is the saturation time. 4. According to claim 1, an operation monitoring method of an intelligent liquid cooling platform is characterized in that: the method for obtaining the first unit power temperature change value includes: splitting the time period from the start of initialization operation to the saturation time, and splitting the time period into multiple time points according to a fixed splitting interval, and obtaining the first temperature and the second temperature at each time point, wherein the first temperature is the temperature of the electronic device when the heat dissipation device is not turned on, and the second temperature is the temperature of the electronic device when the heat dissipation device is at rated power; calculating the difference between the first temperature and the second temperature to obtain the temperature difference, and then taking the ratio of the temperature difference to the splitting interval as the unit temperature change value at the time point; obtaining the rated power of the heat dissipation device, which is the total power of the heat dissipation device under constant fan speed and constant coolant flow rate, and dividing the unit temperature change value by the rated power of the heat dissipation device to obtain the first unit power temperature change value; recording the first unit power temperature change value at each time point before the saturation time and saving it. 5. According to the operation monitoring method of an intelligent liquid cooling platform according to claim 1, it is characterized in that: the method for obtaining the second unit power temperature change value is: calculating the difference between the first peak temperature and the second peak temperature, and taking the ratio of the calculation result to the rated power of the heat dissipation device as the second unit power temperature change value. 6. According to the operation monitoring method of an intelligent liquid cooling platform described in claim 1, it is characterized in that: before the saturation time, the timing correspondence method is used to calculate the adjustment amount of the output power of the heat dissipation device, and after the saturation time, the linear adjustment method is used to calculate the adjustment amount of the output power of the heat dissipation device. 7. According to claim 6, an operation monitoring method for an intelligent liquid cooling platform is characterized in that: the timing correspondence method includes the following steps: setting the time point for re-initialization operation as the initial time, and marking the initialization operation time according to the split interval, and then calculating the mean of all calculated first unit power temperature change values to obtain the first unit power temperature change mean, and calculating the output power adjustment amount of the heat dissipation device based on the change mean and the expected temperature of the electronic equipment and the rated power of the heat dissipation device. 8. According to the operation monitoring method of an intelligent liquid cooling platform according to claim 6, it is characterized in that: the linear adjustment method includes the following steps: after reaching the saturation time, according to the second unit power temperature change value and the expected temperature of the electronic equipment, combined with the first peak temperature and the second peak temperature, the output power adjustment amount of the heat dissipation device after the saturation time is calculated. 9. An intelligent liquid cooling platform, characterized in that: the platform includes: an initialization operation module, which is used to initialize the operation of the electronic device and receive the temperature data collected by the acquisition device during the initialization operation, the temperature data has timing information, and obtains the temperature change curve based on the temperature data and the timing information, and obtains the first peak temperature and the second peak temperature according to the temperature change curve, as well as the saturation time of the first peak temperature and the second peak temperature; a parameter acquisition module, which is used to obtain the first unit power temperature change value before the saturation time and the second unit power temperature change value after the saturation time according to the temperature change curve; an output power adjustment module, which is used to re-initialize the operation and adjust the output power of the heat dissipation device according to the first unit power temperature change value and the second unit power temperature change value after the saturation time; a heat dissipation effect verification module, which is used to obtain the temperature data of the electronic device after the power of the heat dissipation device is adjusted, and judge the volatility of the temperature data to verify the heat dissipation effect. 10. An intelligent liquid cooling platform according to claim 9, characterized in that it is used to implement the operation monitoring method of the intelligent liquid cooling platform according to any one of claims 1 to 8.