TWI793986B - Fan automatic detection system - Google Patents

Abstract

The present invention relates to a fan automatic detection system, and the fan automatic detection system includes: a motor, a conversion unit, a memory unit, a computing unit and a storage unit. The motor is arranged in a fan for receiving at least one excitation signal to operate during a detection period and outputting at least one uncompensated rotation signal. The memory unit is used for temporarily storing at least one excitation value data and at least one rotation value data. The computing unit is used for receiving the at least one excitation value data and the at least one rotation value data during a modeling stage of the detection period, so as to establish a detection operation model. The storage unit is used for storing the detection operation model. In a diagnosis stage of the detection period, the calculation unit is used for comparing the at least one excitation value data and the at least one rotation value data with the detection operation model to output at least one detection result signal.

Description

Fan automatic detection system

The invention relates to a fan automatic detection system.

At present, conventional fans are usually installed in equipment such as personal computers or electronic devices to dissipate heat, and the conventional fans cannot be automatically detected. Generally, when the conventional fan cannot rotate or breaks down, the user can know that the conventional fan has failed and must be replaced, so that the personal computer or electronic device and other equipment equipped with the fan must be shut down sometimes, so as to avoid the failure of the equipment due to lack of the fan. The heat dissipation of the fan will cause the danger of overheating of the equipment, and the shutdown will cause considerable inconvenience to the user, so it is necessary to improve it.

The invention provides a fan automatic detection system. In one embodiment, the fan automatic detection system includes: a motor, a conversion unit, a memory unit, a computing unit and a storage unit. The motor is arranged in a fan for receiving at least one excitation signal to operate during a detection period and outputting at least one uncompensated rotation signal. The conversion unit is used for receiving the at least one excitation signal and the at least one uncompensated rotation signal, and converting them into corresponding at least one excitation value data and at least one rotation value data. The memory unit is used for temporarily storing the at least one excitation value data and the at least one rotation value data. The computing unit is used for receiving the at least one excitation value data and the at least one rotation value data during a modeling stage of the detection period, so as to establish a detection operation model. The storage unit is used for storing the detection operation model. In a diagnosis stage of the detection period, the calculation unit is used for comparing the at least one excitation value data and the at least one rotation value data with the detection operation model to output at least one detection result signal.

The invention provides a fan automatic detection method. In one embodiment, the fan automatic detection method includes: during a detection period, transmitting at least one excitation signal to a motor disposed in a fan and outputting at least one uncompensated rotation signal; switching the at least one excitation signal The signal and the at least one uncompensated rotation signal are corresponding at least one excitation value data and at least one rotation value data; temporarily store the at least one excitation value data and the at least one rotation value data; a modeling during the detection period stage, according to the at least one excitation value data and the at least one rotation value data, perform calculations to establish a detection operation model; store the detection operation model; and in a diagnosis stage during the detection period, the at least one excitation value data and The at least one rotation value data is compared with the detection operation model to output at least one detection result signal.

The fan automatic detection system or the fan automatic detection method of the present invention can detect the variation of the fan in advance, so as to inform the user in advance, so that the user can perform proper maintenance in a timely manner to maintain the fan, personal computer or electronic device, etc. The operation of the equipment, to avoid the occurrence of related equipment downtime or crash.

FIG. 1 shows a schematic block diagram of a fan automatic detection system according to a first embodiment of the present invention. Referring to FIG. 1 , the fan automatic detection system 10 according to the first embodiment of the present invention includes: a motor 11 , a conversion unit 121 , a memory unit 122 , a computing unit 123 and a storage unit 15 . The motor 11 is disposed in a fan 20 . The fan 20 of the present invention can be installed in equipment or systems such as personal computers and electronic devices to provide heat dissipation, but is not limited to the above.

In one embodiment, the motor 11 is used to receive at least one excitation signal S1 to operate during a detection period, and output at least one uncompensated rotation signal S2. In one embodiment, the fan automatic detection system 10 of the present invention further includes a driving unit 13 for outputting the at least one excitation signal S1 to the motor 11 . The drive unit 13 can be disposed on a system terminal 19 to receive the control of the system terminal 19 to output the at least one excitation signal S1 to the motor 11 during the detection period. In one embodiment, the detection period can be performed periodically, irregularly or by setting a specific detection period.

In one embodiment, the at least one excitation signal is a set PWM signal, so as to be different from the normal PWM signal that controls the operation of the motor 11 in a normal state, so as to avoid confusion with the normal PWM signal, for example: in a normal state The normal PWM signal for operation can be a 20 KHz signal, and the PWM signal for this setting can be a 50 KHz signal. The duty cycle of the set PWM signal can be a step signal, a sine wave signal or a composite signal of a step signal and a sine wave signal. FIG. 6A shows a waveform schematic diagram of the relationship between the step duty cycle and time of the PWM signal set by the present invention. With reference to FIG. 6A , it shows that the duty cycle (Duty Cycle) of the PWM signal is set as a step signal in an embodiment of the present invention, and the waveform diagram of the relationship between the step duty cycle and time. Its duty cycle can range from 12.2% to 97.5%.

In one embodiment, the at least one uncompensated rotation signal S2 output by the motor 11 is a completely uncompensated rotation signal S2, so as to be consistent with the compensated rotation signal of the fan 20 in normal operation. difference. Because the control signal of a specific rotational speed must be accepted during normal operation, if the rotational speed output by the motor 11 of the fan 20 fails to reach the specific rotational speed, compensation is required to reach the specific rotational speed. Therefore, during the detection period, the output of the motor 11 is an uncompensated rotation signal S2 so as to truly present the rotation state of the motor 11 during the detection period. FIG. 6B shows a waveform schematic diagram of the relationship between the uncompensated rotation signal and time of the present invention relative to FIG. 6A . With reference to FIG. 6B , it shows a waveform schematic diagram of the relationship between the uncompensated rotation signal output by the motor 11 and the time relationship with respect to the step duty cycle of the PWM signal input in FIG. 6A to the motor 11 according to an embodiment of the present invention.

In one embodiment, the conversion unit 121 is used for receiving the at least one excitation signal S1 and the at least one uncompensated rotation signal S2, and converting them into corresponding at least one excitation value data D1 and at least one rotation value data D2. For example: the conversion unit 121 is used to convert the at least one analog excitation signal S1 and the at least one uncompensated rotation signal S2 into the corresponding at least one excitation value data D1 and at least one rotation value data D2 in digital.

In one embodiment, the memory unit 122 is used for temporarily storing the at least one excitation value data D1 and the at least one rotation value data D2. For example: the memory unit 122 can be a register, a buffer (Buffer) or a random access memory (RAM).

In one embodiment, the computing unit 123 is configured to receive the at least one excitation value data D1 and the at least one rotation value data D2 during a modeling stage of the detection period to establish a detection operation model M. In one embodiment, the modeling phase can be started after the fan 20 is started for the first time; or after the fan 20 accepts the control of the system terminal 19 to reset (Reset), after starting again; or after the fan 20 The test operation model M is established in the test stage before leaving the factory. In one embodiment, the calculation unit 123 further includes a modeling unit 123A, and the modeling unit 123A is used for receiving the at least one excitation value data D1 and the at least one rotation value of the memory unit 122 during the modeling stage. Data D2 to establish the detection operation model M. The modeling unit 123A can receive the at least one excitation value data D1 and the at least one rotation value data D2 from the memory unit 122 a plurality of times during the modeling stage of the detection period to establish the detection operation model M. That is, the detection operation model M is established by a plurality of excitation numerical data D1 and rotational numerical data D2. Therefore, the modeling stage during the detection period is an initial stage. During the modeling stage during the detection period, the at least one excitation value data D1 and the at least one rotation value data D2 from the memory unit 122 are used for The detection run model M is built instead of detection.

In one embodiment, the storage unit 15 is used to store the detection operation model M. For example: the storage unit 15 can be a non-volatile memory, and the stored data will not disappear after the power supply is interrupted. In a diagnosis stage of the detection period, the computing unit 123 is used for comparing the at least one excitation value data D1 and the at least one rotation value data D2 with the detection operation model M to output at least one detection result signal R. In one embodiment, the calculation unit 123 further includes a comparison unit 123B, which is used to compare the at least one excitation value data D1 and the at least one rotation value data D2 of the memory unit 122 with the storage unit 15 during the diagnosis stage. The detection operation model M is compared to output the at least one detection result signal R. The diagnosis phase during the detection is the stage after the detection operation model M has been established in the modeling phase. At this time, the storage unit 15 has stored the detection operation model M, then the at least one stimulus from the memory unit 122 The numerical data D1 and the at least one rotational numerical data D2 are used for detection and diagnosis, but not for establishing the detection operation model M.

FIG. 6C shows a waveform schematic diagram of the relationship between the detection operation model and time of the present invention relative to FIG. 6A . FIG. 6D shows a schematic diagram of the enlarged waveform of the present invention in time interval A of FIG. 6C . Cooperate with reference to FIG. 1 , FIG. 6C and FIG. 6D , which show a waveform schematic diagram of the relationship between the detection operation model and time according to an embodiment of the present invention, and include a prediction data P and an experimental data E. In one embodiment, the detection operation model M includes a warning interval G1 , a normal operation interval G2 and a good operation interval G3 . During the diagnosis phase of the detection period, the calculation unit 123 is used to compare the at least one excitation value data D1 and the at least one rotation value data D2 with the detection operation model M, if the warning interval G1 of the detection operation model is exceeded , and last for a set time, the detection result signal is an abnormal signal, indicating that the fan may be abnormal and may need to be repaired.

In one embodiment, the fan automatic detection system 10 of the present invention further includes a prompt unit 14 for receiving the at least one detection result signal R, if the at least one detection result signal is the abnormal signal, the prompt unit 14 Output a warning message. In one embodiment, the prompt unit 14 can be a warning light, a warning device, or a display.

In one embodiment, during the diagnostic phase of the detection period, the computing unit 123 is used to compare the at least one excitation value data D1 and the at least one rotation value data D2 with the detection operation model M, if during the detection operation If the normal operation range G2 of the model is within, the detection result signal is a normal operation signal. The prompt unit 14 outputs the normal operation message.

In one embodiment, during the diagnostic phase of the detection period, the computing unit 123 is used to compare the at least one excitation value data D1 and the at least one rotation value data D2 with the detection operation model M, if during the detection operation If the model is within the well-running interval G3, the detection result signal is a good-running signal. The prompt unit 14 outputs the message of good operation.

In one embodiment, the fan automatic detection system 10 of the present invention further includes a microcontroller 12 disposed in the fan 20, the microcontroller 12 includes the converting unit 121, the memory unit 122 and the computing unit 123 . In one embodiment, the prompt unit 14 and the storage unit 15 are disposed in the fan 20 . In one embodiment, the fan automatic detection system 10 of the present invention further includes a sensor 111 disposed on the motor 11 for detecting the rotation state of the motor 11 and outputting the at least one uncompensated rotation signal S2 to the microcontroller 12 . In one embodiment, the sensor 111 may be a Hall sensor.

Using the fan automatic detection system 10 of the present invention, it is possible to detect the variation of the fan in advance, so as to inform the user in advance, so that the user can carry out proper maintenance in a timely manner, so as to maintain the operation of the fan and personal computers or electronic devices, etc. Avoid related equipment downtime or downtime. Moreover, the fan automatic detection system 10 of the present invention can predict the life and health of the fan.

FIG. 2 shows a schematic block diagram of a fan automatic detection system according to a second embodiment of the present invention. With reference to FIG. 2 , in one embodiment, the fan automatic detection system 30 of the present invention further includes an adapter circuit board 31 , and the conversion unit 121 is disposed on the adapter circuit board 31 . The fan automatic detection system 30 of the present invention further includes a computer device 32 electrically connected to the adapter circuit board 31 , the computer device 32 includes the memory unit 122 , the computing unit 123 , the storage unit 15 and the prompt unit 14 . The computer device 32 can be a computer device of a personal computer or a system, so as to automatically detect the fan 20 and achieve the above effects as well.

FIG. 3 shows a schematic block diagram of a fan automatic detection system according to a third embodiment of the present invention. With reference to FIG. 3 , in one embodiment, the fan automatic detection system 21 of the present invention is arranged in the fan 20, and the fan automatic detection system 21 of the present invention further includes a detection timer 126 for setting a detection cycle , so as to periodically output the at least one excitation signal to the motor 11 . For example: the fan is automatically detected every 100 hours of operation, or it can be set to automatically detect every week. In one embodiment, the detection timer 126 can be set in the microcontroller 12 . Therefore, the fan automatic detection system 21 of the present invention does not need to receive external control signals, and the fan 20 itself can perform automatic detection and achieve the above-mentioned effects.

FIG. 4 shows a schematic block diagram of a fan automatic detection system according to a fourth embodiment of the present invention. With reference to FIG. 4 , in one embodiment, the fan automatic detection system 22 of the present invention is set in the fan 20, and the fan automatic detection system 22 of the present invention further includes a slow start trigger unit 127 for the After the motor 11 starts slowly, the at least one excitation signal is output to the motor 11 . After the motor 11 starts slowly, it still needs a period of time before it can run normally, so this time can be used for automatic detection. For example: automatic detection can be performed after each slow start, or it can cooperate with the detection timer 126 in FIG. 3 to set the detection cycle and perform automatic detection after slow start. In one embodiment, the slow start trigger unit 127 can be disposed in the microcontroller 12 . Therefore, the fan automatic detection system 22 of the present invention does not need to receive external control signals, and the fan 20 itself can perform automatic detection and achieve the above-mentioned effects.

FIG. 5 shows a schematic flow chart of the fan automatic detection method of the present invention. With reference to FIG. 1 and FIG. 5, in one embodiment, referring to step S51, during a detection period, at least one excitation signal S1 is sent to the motor 11, and the motor 11 is arranged in the fan 20 and outputs at least one uncompensated The rotation signal S2. Referring to step S52, converting the at least one excitation signal S1 and the at least one uncompensated rotation signal S2 into corresponding at least one excitation value data D1 and at least one rotation value data D2. In one embodiment, the conversion unit 121 can be used to receive the at least one excitation signal S1 and the at least one uncompensated rotation signal S2 and convert them into corresponding at least one excitation value data D1 and at least one rotation value data D2.

Referring to step S53, the at least one excitation value data D1 and the at least one rotation value data D2 are temporarily stored. In one embodiment, the memory unit 122 can be used to temporarily store the at least one excitation value data D1 and the at least one rotation value data D2. With reference to step S54, it is judged in a modeling phase during the detection period or a diagnostic phase during the detection period, if it is in the modeling phase during the detection period, then proceed to step S55, and in a diagnostic phase during the detection period, then proceed to step S55. S56. Referring to step S55 , in the modeling phase of the testing period, an operation is performed based on the at least one excitation value data D1 and the at least one rotation value data D2 to establish a detection operation model M, and the detection operation model M is stored. In one embodiment, the calculation unit 123 can be used to perform calculations to establish the detection operation model. In one embodiment, the storage unit 15 can be used to store the detection operation model M. Referring to step S56 , in the diagnosis phase of the detection period, the at least one excitation value data D1 and the at least one rotation value data D2 are compared with the detection operation model M to output at least one detection result signal R. In one embodiment, the operation unit 123 can be used for comparison.

FIG. 7A shows a waveform schematic diagram of the sinusoidal duty cycle and time relationship of the PWM signal set by the present invention. FIG. 7B shows a waveform schematic diagram of the relationship between the uncompensated rotation signal and time of the present invention relative to FIG. 7A. FIG. 7C shows a waveform schematic diagram of the relationship between the detection operation model and time of the present invention relative to FIG. 7A . FIG. 7D shows a schematic diagram of the enlarged waveform in the first time interval B1 of FIG. 7C according to the present invention. FIG. 7E shows a schematic diagram of the enlarged waveform in the second time interval B2 of FIG. 7C according to the present invention. FIG. 7F shows a schematic diagram of the enlarged waveform in the third time interval B3 of FIG. 7C according to the present invention. Referring first to FIG. 7A , it shows a waveform diagram of the relationship between duty cycle and time of the duty cycle of the set PWM signal as a sinusoidal signal according to an embodiment of the present invention. Its duty cycle can range from 12.2% to 94.6%. Referring next to FIG. 7B , it shows a waveform schematic diagram of the relationship between the uncompensated rotation signal output by the motor 11 and time relative to the sinusoidal duty cycle of the set PWM signal input in FIG. 7A to the motor 11 according to an embodiment of the present invention. Then refer to FIG. 7C , FIG. 7D , FIG. 7E and FIG. 7F , which show a waveform schematic diagram of the relationship between the detection operation model and time according to an embodiment of the present invention, and include a prediction data P and an experimental data E. In one embodiment, the detection operation model includes a warning interval G1 , a normal operation interval G2 and a good operation interval G3 . According to the fan automatic detection system or fan automatic detection method of the present invention, a corresponding detection operation model can be established for the sinusoidal duty cycle of the PWM signal set in FIG. 7A , and automatic detection can be performed.

FIG. 8 shows a schematic waveform diagram of the relationship between the actual detection data and the detection operation model and time according to an embodiment of the present invention. With reference to FIG. 8 , the detection operation model of an embodiment of the present invention includes an upper limit and a lower limit. If the actual detection data (for example: actual speed) exceeds the upper limit or lower limit of the detection operation model and lasts for a set time, the detection result will be The signal is an abnormal signal. If the actual speed is between the upper limit and the lower limit of the detection operation model, the detection result signal is a normal signal.

The fan automatic detection system or the fan automatic detection method of the present invention can detect the variation of the fan in advance, so as to inform the user in advance, so that the user can perform proper maintenance in a timely manner to maintain the fan, personal computer or electronic device, etc. The operation of the equipment, to avoid the occurrence of related equipment downtime or crash. Moreover, the fan automatic detection system or the fan automatic detection method of the present invention can predict the life and health of the fan.

The above-mentioned embodiments are only to illustrate the principles and effects of the present invention, but not to limit the present invention. Modifications and changes made by those skilled in the art to the above embodiments still do not violate the spirit of the present invention. The scope of rights of the present invention should be listed in the scope of patent application described later.

10: Fan automatic detection system 11: Motor 12: Microcontroller 13: Drive unit 14: Prompt unit 15: storage unit 19: System side 20: fan 21: Fan automatic detection system 22: Fan automatic detection system 30: Fan automatic detection system 31: Transition circuit board 32:Computer device 111: sensor 121: conversion unit 122: memory unit 123: Operation unit 123A: Modeling Unit 123B: comparison unit 126: detection timer 127: Slow start trigger unit D1: Incentive value data D2: Rotate numerical data A: time interval B1: The first time interval B2: Second time interval B3: The third time interval E: Experimental data G1: warning interval G2: normal operation range G3: Well-run range M: Check running model P: Forecast data R: Detection result signal S1: Exciting signal S2: Uncompensated rotation signal

FIG. 1 shows a schematic block diagram of a fan automatic detection system according to a first embodiment of the present invention;

FIG. 2 shows a schematic block diagram of a fan automatic detection system according to a second embodiment of the present invention;

FIG. 3 shows a schematic block diagram of a fan automatic detection system according to a third embodiment of the present invention;

FIG. 4 shows a schematic block diagram of a fan automatic detection system according to a fourth embodiment of the present invention;

Figure 5 shows a schematic flow chart of the fan automatic detection method of the present invention;

Fig. 6A shows the waveform schematic diagram of the step duty cycle and time relationship of the PWM signal set by the present invention;

FIG. 6B shows a waveform diagram of the relationship between the uncompensated rotation signal and time of the present invention relative to FIG. 6A;

Fig. 6C shows the waveform schematic diagram of the relationship between the detection operation model and time of the present invention relative to Fig. 6A;

FIG. 6D shows a schematic diagram of the enlarged waveform of the present invention in time interval A of FIG. 6C;

Fig. 7A shows the waveform schematic diagram of the relationship between the sinusoidal duty cycle and time of the PWM signal set by the present invention;

FIG. 7B shows a waveform diagram of the relationship between the uncompensated rotation signal and time of the present invention relative to FIG. 7A;

Fig. 7C shows the waveform schematic diagram of the relationship between the detection operation model and time of the present invention relative to Fig. 7A;

FIG. 7D shows a schematic diagram of the enlarged waveform of the present invention in the first time interval B1 in FIG. 7C;

FIG. 7E shows a schematic diagram of the enlarged waveform of the present invention in the second time interval B2 of FIG. 7C;

FIG. 7F shows a schematic diagram of the enlarged waveform of the present invention in the third time interval B3 of FIG. 7C; and

FIG. 8 shows a schematic waveform diagram of the relationship between the actual detection data and the detection operation model and time according to an embodiment of the present invention.

10: Fan automatic detection system

11: Motor

12: Microcontroller

13: Drive unit

14: Prompt unit

15: storage unit

19: System side

20: fan

111: sensor

121: conversion unit

122: memory unit

123: Operation unit

123A: Modeling Unit

123B: comparison unit

D1: Incentive value data

D2: Rotate numerical data

M: Check running model

R: Detection result signal

S1: Exciting signal

S2: Uncompensated rotation signal

Claims (1)

An automatic detection system for a fan, comprising: a motor, set in a fan, used to receive at least one excitation signal for operation during a detection period, and output at least one uncompensated rotation signal; a conversion unit for receiving the at least one excitation signal and the at least one uncompensated rotation signal, and converting them into corresponding at least one excitation value data and at least one rotation value data; a memory unit for temporarily storing the at least one excitation value data and the at least one rotation value data A rotation value data; an operation unit, including a modeling unit, used to receive the at least one excitation value data and the at least one rotation value data of the memory unit in a modeling stage during the detection period, so as to establish a detection An operation model; and a storage unit for storing the detection operation model; wherein, the calculation unit further includes a comparison unit for the at least one excitation of the memory unit during a diagnosis stage during the detection The numerical data and the at least one rotational numerical data are compared with the detection operation model of the storage unit to output at least one detection result signal.

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