Intelligent fan speed regulation method, device and storage medium for solving fuzzy temperature detection
By dividing the temperature range of the chip in the switch and adjusting the fan speed regulation value and detection time interval, the problem that the chip temperature cannot be stabilized in the ideal range under fuzzy temperature detection is solved, and a higher regulation accuracy and balance of power consumption and performance is achieved.
Patent Information
- Application Number
- CN202211065196.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-01
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2042-09-01
AI Technical Summary
The existing switch fan speed regulation method cannot effectively stabilize the chip temperature in a small ideal working range under fuzzy temperature detection conditions, resulting in waste of power consumption and noise pollution.
By dividing different temperature intervals of the chip, setting the corresponding fan speed regulation value and detection time interval value, and adjusting the speed regulation value and detection interval time when the chip temperature fluctuates and changes, so that the chip temperature is stable within the ideal temperature interval.
The chip temperature stability improvement in the case of fuzzy temperature detection is achieved, avoiding the limitation that the chip temperature can only be stable in a larger operating temperature range, improving the regulation accuracy, and balancing power consumption and performance.
Smart Images

Figure CN115450943B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to a fan speed regulation technology for a switch, in particular to an intelligent fan speed regulation method, device and storage medium for solving fuzzy temperature detection, belonging to the field of intelligent fan speed regulation. Background Art
[0002] Today, information construction is in full swing. The rapid improvement of equipment performance and capacity in network rooms is accompanied by higher and higher equipment power consumption, which also puts forward higher requirements for power supply and heat dissipation in the room. Specifically, at the level of network equipment such as switches, each chip of the switch and other equipment boards has a rated operating temperature range. If it runs outside the temperature range for a long time, its service life will be greatly shortened or damaged, and even cause fire in serious cases. In order to ensure that each chip works within the temperature range, heat sinks and fans have become necessary components of high-power switch equipment; when the fan runs at full speed, it will cause noise disturbance due to large power consumption, and when it runs at a lower speed, it often cannot control the chip temperature. In order to achieve a balance between performance and power consumption, the switch needs to reasonably control the speed of the fan to ensure that the chip works in an ideal temperature range. At the same time, changes in ambient temperature and business load will significantly affect the power consumption and temperature of each chip, which requires the speed of the switch fan to be able to be intelligently and dynamically adjusted.
[0003] At present, most of the core business chips can obtain relatively accurate chip temperature (such as 1°C level) through the temperature detection module; some core business chips can only provide rough temperature alarms for various reasons, that is, they can only obtain relatively fuzzy chip temperature ranges (such as 10°C+ level). The fan speed regulation methods of existing switches include intelligent speed regulation methods based on precise temperature and speed regulation methods based on fuzzy temperature ranges. The intelligent speed regulation method based on precise temperature can control the chip to work in an ideal temperature range (±2°C) to achieve a balance between performance and power consumption; the fan speed is fixed to several gears based on the fuzzy chip temperature range. In this case, in order to adapt to different ambient temperatures and business models, it is often necessary to reserve a large heat dissipation margin, resulting in waste of power consumption and greater noise pollution.
[0004] The invention patent with application number 201310441709.0 discloses a fan intelligent speed control method and device based on device feedback temperature. The method is that when the system is started, the fan of the device runs at a medium speed. The device detects the temperature at regular intervals and selects the fan speed control mode and speed control parameters according to the user's configuration. The fan speed control mode includes a hysteresis speed control mode and a step speed control mode. The hysteresis speed control mode means that the fan speed remains unchanged within a certain temperature range. When the temperature is higher than the set maximum operating temperature, the device starts to increase the speed until the highest speed or the device temperature drops. When the temperature is lower than the set minimum operating temperature, the device starts to decrease the speed until the lowest speed or the device temperature rises. The step speed control mode means that the fan speed remains unchanged within a certain temperature range. When the temperature change reaches a certain step value, the device adjusts the fan speed, that is, the device corresponds to different speeds in different temperature ranges. However, the operating temperature range set by the hysteresis speed regulation mode cannot be too large or too small; if it is too large, the equipment cannot automatically adjust the speed, and if it is too small, debugging oscillation is likely to occur; and in fuzzy temperature detection, only a larger operating temperature range can be set, and the temperature of the chip cannot be stabilized in a smaller ideal working range. The fan speed in the step speed regulation mode is fixed based on the experience of measuring a certain ambient temperature and a certain business load intensity, and cannot adapt to changes in ambient temperature and business load. However, the speed of change of chip temperature is strongly related to ambient temperature and different business loads, so it is often necessary to reserve a large heat dissipation margin, which can easily cause waste of power consumption and greater noise pollution; at the same time, when using the step speed regulation mode for fuzzy temperature detection, the step value of this method can only be set to the corresponding 10℃-20℃ level, and the temperature of the chip cannot be stabilized in a smaller ideal working range.
[0005] The invention patent with application number 201910648519.3 discloses a method, device and system for fan speed control of a server, which includes: obtaining parameters of fan speed control of the server and initializing the parameters; starting the test, obtaining and saving the log data of fan speed control at a preset time interval; calculating the fan speed change and the temperature change of the controlled device on the server according to the log data; according to the fan speed change, if the temperature change of the controlled device is greater than the target threshold, then adjusting the data value corresponding to the parameter according to the sensitivity, log data, and the parameter of the last adjustment output until the temperature change of the controlled device is less than or equal to the target threshold. The patent uses the PID algorithm to calculate the fan speed adjustment value, and the PID algorithm needs to be detailed to at least dozens of temperature values, and then use multiple parameters such as proportional Kp, integral Ki, differential Kd, etc. to realize fan speed control. However, when the chip can only read a few fuzzy temperature ranges, the algorithm cannot stabilize the temperature of the chip in a smaller ideal working range. Summary of the invention
[0006] In view of the above-mentioned problems, the present invention provides an intelligent fan speed control method, device and storage medium for solving fuzzy temperature detection. Under fuzzy temperature detection conditions, different fan speed control values and detection time interval values are set for the chip according to the different temperature ranges in which the chip is located. When the chip temperature fluctuates, the speed control value ΔF and the debugging interval time ΔT in different temperature ranges are continuously modified and adjusted, so that the final stable temperature of the chip temperature can fall within the ideal temperature range, avoiding the limitation that the chip operating temperature can only be stabilized in a larger operating temperature range during fuzzy temperature detection, and improving the control accuracy under fuzzy temperature detection.
[0007] The technical solution adopted by the present invention to solve the above technical problems is as follows:
[0008] An intelligent fan speed control method for solving fuzzy temperature detection specifically comprises the following steps:
[0009] Step 1, divide and determine the temperature range of each chip;
[0010] Step 2: Set the default fan speed after the device is powered on;
[0011] Step 3, at room temperature, after the temperature of the chip is stable under different fan speed conditions, record the corresponding temperature intervals, and calculate the fan speed difference Δf per unit temperature interval difference, that is, the fan speed difference corresponding to the stable working temperature of the chip per degree Celsius on average; during this period, the fan speed is adjusted so that the recorded chip temperature covers the temperature intervals defined in step 1; wherein, the internal junction temperature of the chip is calculated by measuring the chip shell temperature and thermal resistance parameters of the thermistor of the tester;
[0012] Step 4: According to the temperature change speed of the chip and the impact of the software polling process on the system, the chip temperature detection interval base Δt is set, that is, when the chip is at a certain temperature of stable operation, the fan speed Δf is adjusted to the time required to increase or decrease 1 degree Celsius;
[0013] Step 5, setting the speed regulation value ΔF for different temperature ranges;
[0014] Step 6, setting the speed adjustment interval time ΔT for different temperature ranges;
[0015] Step 7: Under the current speed regulation value ΔF and speed regulation interval time ΔT, if the chip temperature cannot be stabilized in the ideal temperature range, modify and update to obtain a new ΔF1 and Δt1 until the chip temperature is stabilized in the ideal temperature range.
[0016] Furthermore, the modification and update obtains new ΔF1 and Δt1, and the specific update method is:
[0017] ΔF1=ΔF*(1-x) n , where n = 1, 2, ..., x is 0.1;
[0018] Δt1=Δt*(1+x) n , where n=1,2…, x is 0.1.
[0019] Further, the temperature intervals described in step 1 include an ideal temperature interval, a high / low normal temperature interval, a high / low reminder temperature interval, and a high / low warning temperature interval;
[0020] Furthermore, in step 5, when setting the speed adjustment value ΔF, the greater the difference from the ideal temperature range, the greater the speed that needs to be adjusted; the smaller the difference from the ideal temperature range, the smaller the speed that needs to be adjusted.
[0021] Furthermore, in step 5, the high / low reminder temperature interval sets ΔF to 2-4 times Δf, the high / low normal temperature interval sets ΔF to 1-2 times Δf, the ideal temperature interval sets ΔF to 0, the high alarm temperature interval sets F to full speed, and the low alarm temperature interval sets F to 0.
[0022] Furthermore, when the chip temperature reaches the upper limit of 100°C, the fan is set to run at full speed; when the chip temperature reaches the lower limit of 30°C, the fan speed value is set to 0.
[0023] Furthermore, in step 6, the high / low warning temperature interval is set to 1 times Δt, the high / low normal temperature interval is set to 2 times Δt, and the ideal temperature interval is set to 4 times Δt.
[0024] In a second aspect, the present invention provides an intelligent fan speed regulating device for solving fuzzy temperature detection, the intelligent fan speed regulating device comprising a core business module, a startup module, a temperature detection module and a control module;
[0025] The core business module includes one or more chips with high power consumption;
[0026] The startup module is used to control the fan to run at a default speed after the device is powered on;
[0027] The temperature detection module is used to detect the chip temperature of the core business module at regular intervals after the system is started;
[0028] The control module is used to receive the current chip temperature data, determine whether the current chip temperature is in the ideal temperature range, if it is in the ideal temperature range, keep the fan speed unchanged, and perform another temperature test after the chip temperature detection interval Δt; otherwise, determine the other different temperature ranges where the current chip temperature is located, adjust the fan speed and detection time interval according to the speed adjustment value ΔF and detection interval ΔT set for other different temperature ranges, and detect whether the adjusted chip temperature is in the ideal temperature range, if it is in the ideal temperature range, maintain the fan speed and detection time interval; if it is still not in the ideal temperature range, modify and update to obtain a new ΔF1 and Δt1 until the chip temperature is stabilized in the ideal temperature range. The modification and update to obtain a new ΔF1 and Δt1 is specifically:
[0029] ΔF1=ΔF*(1-x) n , where n = 1, 2, ..., x is 0.1;
[0030] Δt1=Δt*(1+x) n , where n = 1, 2, ..., x is 0.1;
[0031] In a third aspect, the present invention also provides an intelligent fan speed control device for solving fuzzy temperature detection, the intelligent fan speed control device comprising: a memory, a processor, and an intelligent fan speed control program for solving fuzzy temperature detection stored in the memory and executable on the processor, the intelligent fan speed control program being configured to implement the steps of the intelligent fan speed control method as described above.
[0032] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the intelligent fan speed regulation method as described above.
[0033] The technical solution of the present invention can produce the following technical effects:
[0034] 1. Under the condition of fuzzy temperature detection, the present invention uses different temperature ranges of the chip to set different fan speed control values and detection time interval values for the chip, and when the chip temperature fluctuates, the speed control value ΔF and the debugging interval time ΔT in different temperature ranges are continuously modified and adjusted, so that the final stable temperature of the chip temperature can fall within the ideal temperature range, avoiding the limitation that the chip operating temperature can only be stabilized in a larger operating temperature range during fuzzy temperature detection, improving the control accuracy under fuzzy temperature detection, and avoiding large fluctuations in temperature and fan speed to a certain extent, ensuring the stable operation of the fan.
[0035] 2. The intelligent fan speed control method for solving fuzzy temperature detection provided by the present invention can effectively stabilize the oscillation changes in the ideal temperature range by continuously modifying and adjusting the speed control value ΔF and the debugging interval time ΔT in different temperature ranges when facing changes in ambient temperature and large changes in chip load, so that the device fan can achieve a balance between power consumption and performance. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Figure 1 A schematic diagram of the steps of the intelligent fan speed regulation method for solving fuzzy temperature detection according to an embodiment of the present invention;
[0037] Figure 2 A software flow diagram of an intelligent fan speed regulation method for solving fuzzy temperature detection according to an embodiment of the present invention;
[0038] Figure 3 It is a schematic diagram of the corresponding relationship between the chip temperature and time in the intelligent fan speed regulation method for solving fuzzy temperature detection according to an embodiment of the present invention. DETAILED DESCRIPTION
[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them.
[0040] In this embodiment, Figure 1 FIG. 1 is a schematic diagram of the steps of the intelligent fan speed regulation method for solving fuzzy temperature detection according to the present invention. The intelligent fan speed regulation method for solving fuzzy temperature detection according to this embodiment specifically includes the following steps:
[0041] Step 1: Divide and determine the temperature range of the chip
[0042] According to the rated operating temperature range of the chip, the temperature range of the chip is divided into an ideal temperature range, a high / low normal temperature range, a high / low reminder temperature range, and a high / low alarm temperature range; among them, when determining the ideal operating temperature range of the chip, the relationship between the chip life, reliability, and fan power consumption and noise is comprehensively considered, and the maximum rated operating temperature of the chip is reduced by about 20°C as the ideal temperature range of the chip.
[0043] Step 2: Set the default fan speed after the device is powered on
[0044] Step 3: At room temperature, after the temperature of the chip stabilizes under different fan speed conditions, record the corresponding temperature range and calculate the fan speed difference Δf for each unit temperature range difference covered.
[0045] Among them, because the chip cannot feedback the accurate internal temperature and can only provide a fuzzy temperature range, in the actual measurement, the chip case temperature and thermal resistance parameters are measured by the thermistor of the tester to calculate the internal junction temperature of the chip.
[0046] Step 4: Set the chip temperature detection interval base Δt according to the chip temperature change speed and the impact of the software polling process on the system.
[0047] Step 5: Set the speed control value ΔF for different temperature ranges
[0048] When setting the speed adjustment value ΔF for different temperature ranges, the greater the difference from the ideal temperature range, the greater the speed adjustment is required to achieve the effect of quickly moving to the ideal temperature range; the smaller the difference from the ideal temperature range, the smaller the speed adjustment is required to facilitate the chip temperature to stabilize to the ideal temperature range. The high / low warning temperature range sets ΔF to 2-4 times Δf, the high / low normal temperature range sets ΔF to 1-2 times Δf, the ideal temperature range sets ΔF to 0, the high alarm temperature range sets F to full speed, and the low alarm temperature range sets F to 0.
[0049] Step 6: Set the speed adjustment interval ΔT for different temperature ranges
[0050] Because heating or cooling requires a certain amount of time, the further away from the ideal temperature working range, the larger the speed adjustment range and the faster the temperature changes; the closer to the ideal temperature working range, the smaller the speed adjustment range and the slower the temperature changes, gradually tending to a steady state; based on the above situation, different speed adjustment intervals are set for different temperature ranges: the high / low warning temperature range is set to 1 times Δt, the high / low normal temperature range is set to 2 times Δt, and the ideal temperature range is set to 4 times Δt.
[0051] Step 7: Under the current speed regulation value ΔF and speed regulation interval time ΔT, if the chip temperature cannot be stabilized in the ideal temperature range, modify and update to obtain a new ΔF1 and Δt1 until the chip temperature is stabilized in the ideal temperature range.
[0052] The technical solution of this embodiment is further described in detail below through specific application examples.
[0053] For example, Table 1 shows the fuzzy temperature prompts that can be reported by the chip; Table 2 shows the temperature range division for chips with high power consumption.
[0054] Table 1 Fuzzy temperature prompts that the chip can report (unit: Celsius / ℃)
[0055] Devices Rated temperature Fuzzy temperature prompt chip 0-100 ≤30、≥30、≥50、≥65、≥80、≥90、≥100、≥110
[0056] Table 2 Temperature range division of chips (unit: Celsius / ℃)
[0057] Devices Low alarm temperature Low warning temperature Low Normal Temperature Ideal temperature High Normal Temperature High warning temperature High alarm temperature chip ≤30 30-50 50-65 70-74 80-90 90-100 ≥100
[0058] The maximum fan speed of a core business module is 20,000 rpm. After the device is powered on, the default fan speed is set to 60% of the full speed, that is, 12,000 rpm. This speed can control the temperature of each chip within the ideal operating temperature range or below in a normal computer room environment.
[0059] At room temperature, after the temperature of the chip stabilizes under different fan speed conditions, the corresponding temperature range is recorded, and the fan speed difference Δf for each unit temperature range difference covered is calculated. The fan speed values when the chip temperature is in the middle of different temperature ranges are measured as shown in Table 3. The fan speed difference Δf for each unit temperature range difference is calculated, which is approximately equal to 110 rpm.
[0060] Table 3 Fan speed values when the chip temperature is in the middle of different temperature ranges
[0061]
[0062] During the above measurement process, the temperature change rate of the chip is recorded; in the temperature range of 50℃-80℃, the fan speed is adjusted according to Δf, and the chip temperature change time is 60 seconds / ℃. Set the chip temperature detection interval base Δt=20s; further set the speed adjustment value ΔF and speed adjustment interval time ΔT in different temperature ranges. The following Table 4 shows the speed adjustment value and speed adjustment interval time of the chip temperature in different temperature ranges during the measurement process. To ensure the safe and reliable operation of the equipment, when the chip temperature reaches the upper limit of 100℃, set the fan to run at full speed; when the chip temperature reaches the lower limit of 30℃, set the fan speed value to 0.
[0063] Table 4 Speed regulation value ΔF and speed regulation interval ΔT of measured chip temperature in different temperature ranges
[0064]
[0065] It can be seen that in this embodiment, after the device is turned on, according to the adjustment of the fan speed in different temperature intervals, the chip temperature oscillates in each temperature interval and gradually stabilizes to the ideal temperature working interval. In actual operation, the measured chip temperature is about 72°C, which proves that this method can solve the problem of balancing power consumption and performance in the case of fuzzy temperature detection, and make the chip work in the preset ideal temperature interval.
[0066] Based on the same inventive concept, the embodiment of the present application provides an intelligent fan speed regulating device for solving fuzzy temperature detection, the intelligent fan speed regulating device includes a core business module, a startup module, a temperature detection module and a control module;
[0067] The core business module includes one or more chips with high power consumption;
[0068] The startup module is used to control the chip to run at a default speed after the device is powered on;
[0069] The temperature detection module is used to detect the chip temperature of the core business module at regular intervals after the system is started;
[0070] The control module is used to receive the current chip temperature data and determine whether the current chip temperature is in an ideal temperature range. If it is in the ideal temperature range, the fan speed is kept unchanged and the temperature is detected again after the chip temperature detection interval Δt; otherwise, the other different temperature ranges in which the current chip temperature is located are determined, and the fan speed and detection time interval are adjusted according to the speed adjustment value ΔF and the detection interval ΔT set for the other different temperature ranges, and whether the adjusted chip temperature is in the ideal temperature range is detected. If it is in the ideal temperature range, the fan speed and detection time interval are maintained; if it is still not in the ideal temperature range, a new ΔF1 and Δt1 are modified and updated until the chip temperature is stabilized in the ideal temperature range.
[0071] Based on the same inventive concept, an embodiment of the present application provides an intelligent fan speed control device for solving fuzzy temperature detection, the intelligent fan speed control device comprising: a memory, a processor, and an intelligent fan speed control program for solving fuzzy temperature detection stored in the memory and executable on the processor, the intelligent fan speed control program being configured to implement the steps of the intelligent fan speed control method described in the first aspect of this embodiment.
[0072] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the intelligent fan speed regulation method described in the first aspect of the present embodiment.
[0073] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program product systems. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product system implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0074] The present application is described with reference to the method flow chart according to the present application. It should be understood that each process in the flow chart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flow chart. Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A function specified in a process or multiple processes.
[0075] The above is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any technician in the relevant technical field, without departing from the scope of the technical solution of the present invention, makes any form of equivalent replacement or modification to the technical solution and technical content disclosed in the present invention, which does not depart from the content of the technical solution of the present invention and still falls within the protection scope of the present invention.
Claims
1. An intelligent fan speed control method for solving fuzzy temperature detection, characterized in that: The intelligent fan speed regulation method for solving fuzzy temperature detection includes: Step 1, divide and determine the temperature range of each chip; Step 2: Set the default fan speed after the device is powered on; Step 3, at room temperature, after the temperature of the chip is stable under different fan speed conditions, record the corresponding temperature intervals, and calculate the fan speed difference Δf per unit temperature interval difference; during this period, adjust the fan speed so that the recorded chip temperature covers the temperature intervals defined in step 1; Step 4, according to the temperature change speed of the chip and the impact of the software polling process on the system, set the chip temperature detection interval time base Δt; Step 5, setting the speed regulation value ΔF for different temperature ranges; When setting the speed adjustment value ΔF, the greater the difference from the ideal temperature range, the greater the speed that needs to be adjusted; the smaller the difference from the ideal temperature range, the smaller the speed that needs to be adjusted; Step 6, setting the speed adjustment interval time ΔT for different temperature ranges; Step 7: Under the current speed regulation value ΔF and speed regulation interval time ΔT, if the chip temperature cannot be stabilized in the ideal temperature range, modify and update to obtain a new ΔF1 and Δt1 until the chip temperature is stabilized in the ideal temperature range; The temperature range includes an ideal temperature range, a high / low normal temperature range, a high / low reminder temperature range, and a high / low alarm temperature range; Modify and update to get new ΔF1 and Δt1, specifically: ΔF1=ΔF*(1-x) n , where n = 1, 2, ..., x is 0.1; Δt1=Δt*(1+x) n , where n=1,2…, x is 0.
1.
2. The intelligent fan speed regulation method for solving fuzzy temperature detection according to claim 1 is characterized in that: In step 5, the high / low reminder temperature interval sets ΔF to 2-4 times Δf, the high / low normal temperature interval sets ΔF to 1-2 times Δf, the ideal temperature interval sets ΔF to 0, the high alarm temperature interval sets the fan speed to full speed, and the low alarm temperature interval sets the fan speed to 0.
3. The intelligent fan speed regulation method for solving fuzzy temperature detection according to claim 2 is characterized in that: When the chip temperature reaches the upper limit of 100℃, the fan is set to run at full speed; when the chip temperature reaches the lower limit of 30℃, the fan speed is set to 0.
4. The intelligent fan speed regulation method for solving fuzzy temperature detection according to claim 3 is characterized in that: In step 6, the high / low warning temperature interval is set to 1 times Δt, the high / low normal temperature interval is set to 2 times Δt, and the ideal temperature interval is set to 4 times Δt.
5. The intelligent fan speed regulating device generated by the intelligent fan speed regulating method for solving fuzzy temperature detection according to any one of claims 1 to 4, characterized in that: The intelligent fan speed regulating device includes a core business module, a startup module, a temperature detection module and a control module; The core business module includes one or more chips with high power consumption; The startup module is used to control the fan to run at a default speed after the device is powered on; The temperature detection module is used to detect the chip temperature of the core business module according to a set detection cycle after the system is started; The control module is used to receive the current temperature data of the chip and determine whether the current temperature of the chip is in an ideal temperature range. If it is in the ideal temperature range, the fan speed is kept unchanged and the temperature is detected again after the chip temperature detection interval Δt; otherwise, the other different temperature ranges in which the current temperature of the chip is located are determined, and the fan speed and detection time interval are adjusted according to the speed adjustment value ΔF and the detection interval ΔT set for the other different temperature ranges, and whether the adjusted chip temperature is in the ideal temperature range is detected. If it is in the ideal temperature range, the fan speed and detection time interval are maintained; if it is still not in the ideal temperature range, a new ΔF1 and Δt1 are modified and updated until the chip temperature is stabilized in the ideal temperature range.
6. An intelligent fan speed control device for solving fuzzy temperature detection, characterized in that: The intelligent fan speed control device includes: a memory, a processor, and an intelligent fan speed control program for solving fuzzy temperature detection, which is stored in the memory and can be run on the processor. The intelligent fan speed control program is configured to implement the steps of the intelligent fan speed control method as described in any one of claims 1-4.
7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the intelligent fan speed regulation method described in any one of claims 1 to 4 are implemented.
Citation Information
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