CN114688063A - Automatic fan detection system and automatic fan detection method - Google Patents
Automatic fan detection system and automatic fan detection method Download PDFInfo
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- CN114688063A CN114688063A CN202011632611.XA CN202011632611A CN114688063A CN 114688063 A CN114688063 A CN 114688063A CN 202011632611 A CN202011632611 A CN 202011632611A CN 114688063 A CN114688063 A CN 114688063A
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- 238000001514 detection method Methods 0.000 title claims abstract description 190
- 230000005284 excitation Effects 0.000 claims abstract description 76
- 238000003745 diagnosis Methods 0.000 claims abstract description 23
- 238000006243 chemical reaction Methods 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000000034 method Methods 0.000 claims 10
- 238000010586 diagram Methods 0.000 description 33
- 238000007689 inspection Methods 0.000 description 12
- 230000000694 effects Effects 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 230000017525 heat dissipation Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/004—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids by varying driving speed
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/008—Stop safety or alarm devices, e.g. stop-and-go control; Disposition of check-valves
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/80—Diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/81—Modelling or simulation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/82—Forecasts
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2260/00—Function
- F05D2260/83—Testing, e.g. methods, components or tools therefor
Abstract
The invention provides an automatic fan detection system and an automatic fan detection method, wherein the automatic fan detection system comprises: a motor, a conversion unit, a memory unit, an operation unit and a storage unit. The motor is arranged in a fan and used for receiving at least one excitation signal during a detection period so as to operate and output at least one uncompensated rotation signal. The memory unit is used for temporarily storing at least one excitation numerical value data and at least one rotation numerical value data. The arithmetic unit is used for receiving the at least one excitation numerical value data and the at least one rotation numerical value data in 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 arithmetic unit is used for comparing the at least one excitation numerical value data and the at least one rotation numerical value data with the detection operation model so as to output at least one detection result signal.
Description
Technical Field
The invention relates to an automatic fan detection system and an automatic fan detection method.
Background
At present, fans in the prior art are generally arranged on equipment such as a personal computer or an electronic device and the like to dissipate heat, and the existing fans cannot perform automatic detection. Generally, when the existing fan cannot rotate or fails, a user can know that the existing fan has failed and must be replaced, so that equipment such as a personal computer or an electronic device provided with the fan must be stopped sometimes, so as to avoid the danger that the equipment has too high temperature due to no heat dissipation of the fan, and the user is greatly inconvenienced due to the stop of the equipment, so that the improvement is necessary.
Disclosure of Invention
The invention provides an automatic fan detection system. In one embodiment, the automatic fan detection system comprises: a motor, a conversion unit, a memory unit, an operation unit and a storage unit. The motor is arranged in a fan and used for receiving at least one excitation signal during a detection period so as to operate and output 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 negative rotation signal and converting the at least one excitation signal and the at least one uncompensated negative rotation signal into corresponding negative at least one excitation numerical data and at least one rotation numerical 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 arithmetic unit is used for receiving the at least one excitation numerical value data and the at least one rotation numerical value data in 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 arithmetic unit is used for comparing the at least one excitation numerical value data and the at least one rotation numerical value data with the detection operation model so as to output at least one detection result signal.
The invention provides an automatic fan detection method. In one embodiment, the automatic fan detection method includes: transmitting at least one excitation signal to a motor during a detection period, wherein the motor is arranged in a fan and outputs at least one uncompensated rotation signal; converting the at least one excitation signal and the at least one uncompensated rotation signal into corresponding at least one excitation numerical data and at least one rotation numerical data; temporarily storing the at least one excitation numerical data and the at least one rotation numerical data; in a modeling stage of the detection period, calculating according to the at least one excitation numerical data and the at least one rotation numerical data to establish a detection operation model; storing the detection operation model; and in a diagnosis stage of the detection period, comparing the at least one excitation numerical data and the at least one rotation numerical data with the detection operation model to output at least one detection result signal.
The fan automatic detection system or the fan automatic detection method can detect the variation condition of the fan in advance to inform a user in advance, so that the user can carry out proper maintenance in time to maintain the operation of the fan, a personal computer or an electronic device and other equipment and avoid the occurrence of the condition of shutdown or crash of the related equipment.
Drawings
FIG. 1 is a block diagram of an automatic fan detection system according to a first embodiment of the present invention;
FIG. 2 is a block diagram of an automatic fan detection system according to a second embodiment of the present invention;
FIG. 3 is a block diagram of an automatic fan detection system according to a third embodiment of the present invention;
FIG. 4 is a block diagram of an automatic fan detection system according to a fourth embodiment of the present invention;
FIG. 5 is a flow chart illustrating an automatic fan detection method according to the present invention;
FIG. 6A is a waveform diagram showing the relationship between the duty cycle of the steps of the PWM signal and the time according to the present invention;
FIG. 6B is a waveform diagram illustrating the uncompensated rotational signal versus time of the present invention relative to FIG. 6A;
FIG. 6C is a waveform schematic illustrating the detection run model of the present invention relative to FIG. 6A with respect to time;
FIG. 6D is an enlarged waveform diagram of the present invention in the time interval A of FIG. 6C;
FIG. 7A is a waveform diagram showing the relationship between the duty cycle of the sine wave and the time of the PWM signal according to the present invention;
FIG. 7B is a waveform diagram illustrating the uncompensated rotational signal versus time of the present invention relative to FIG. 7A;
FIG. 7C is a waveform schematic illustrating the detection run model of the present invention relative to FIG. 7A with respect to time;
FIG. 7D is a schematic enlarged waveform diagram illustrating a first time interval B1 of FIG. 7C according to the present invention;
FIG. 7E is an enlarged waveform diagram illustrating a second time interval B2 of FIG. 7C according to the present invention;
FIG. 7F is an enlarged waveform diagram illustrating a third time interval B3 of FIG. 7C according to the present invention; and
FIG. 8 is a waveform diagram illustrating the relationship between the actual inspection data and the inspection run model and the time according to an embodiment of the present invention.
Reference numerals:
10: automatic fan detection system
11: motor with a stator having a stator core
12: micro-controller
13: drive unit
14: prompting unit
15: storage unit
19: system side
20: fan with cooling device
21: automatic fan detection system
22: automatic fan detection system
30: automatic fan detection system
31: switching circuit board
32: computer device
111: sensor device
121: conversion unit
122: memory cell
123: arithmetic unit
123A: modeling unit
123B: comparison unit
126: detection timer
127: slow start trigger unit
D1: stimulus numerical data
D2: rotation numerical data
A: time interval
B1: a first time interval
B2: second time interval
B3: third time interval
E: experimental data
G1: warning section
G2: normal interval
G3: good interval
M: detecting an operational model
P: predicting data
R: signal of detection result
S1: excitation signal
S2: uncompensated rotation signal
Detailed Description
FIG. 1 is a block diagram of an automatic fan detection system according to a first embodiment of the present invention. Referring to fig. 1, an automatic fan detection system 10 according to a first embodiment of the present invention includes: a motor 11, a conversion unit 121, a memory unit 122, an arithmetic 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 disposed in a personal computer, an electronic device, or other equipment or system for providing heat dissipation, but is not limited thereto.
In one embodiment, the motor 11 is configured to receive at least one excitation signal S1 for operation 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 driving unit 13 can be disposed at a system end 19, and receive control of the system end 19 to output the at least one excitation signal S1 to the motor 11 during the detection period. In one embodiment, the detection period may be regular, irregular or set to a specific detection period.
In one embodiment, the at least one excitation signal is a PWM signal that is set to be different from a normal PWM signal for controlling the motor 11 to operate under a normal state, so as to avoid confusion with the normal PWM signal, such as: the normal PWM signal operating under normal conditions may be a 20KHz signal, and the set PWM signal may be a 50KHz signal. The set duty cycle of the PWM signal may be a step signal, a sine wave signal, or a composite signal of the step signal and the sine wave signal. Fig. 6A is a waveform diagram showing the relationship between the duty cycle of the step of the PWM signal and the time according to the present invention. Referring to fig. 6A, a waveform diagram of the Duty Cycle of the PWM signal being set as a step signal according to an embodiment of the present invention is shown. The working period interval can be 12.2% -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 distinguished from the compensated rotation signal of the fan 20 operating under normal conditions. Since the fan 20 is normally operated and must receive a control signal of a specific rotation speed, if the rotation speed outputted by the motor 11 of the fan 20 fails to reach the specific rotation speed, the compensation is required to reach the specific rotation speed. Therefore, during the detection period, the motor 11 outputs an uncompensated rotation signal S2, so as to truly represent the rotation state of the motor 11 during the detection period. FIG. 6B is a waveform diagram of the uncompensated rotation signal versus time of the present invention relative to FIG. 6A. Referring to fig. 6B, a waveform diagram of the uncompensated rotation signal output by the motor 11 with respect to the step duty cycle of the set PWM signal input to the motor 11 of fig. 6A and the time relationship is shown according to an embodiment of the present invention.
In one embodiment, the conversion unit 121 is configured to receive the at least one excitation signal S1 and the at least one uncompensated rotation signal S2, and convert the at least one excitation value data D1 and the at least one rotation value data D2 into corresponding data. For example: the converting unit 121 is used for converting the at least one analog driving signal S1 and the at least one uncompensated rotation signal S2 into digital corresponding at least one driving value data D1 and at least one rotation value data D2.
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 may be a register, a Buffer (Buffer), or a Random Access Memory (RAM).
In one embodiment, the arithmetic 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 phase of the detection period to establish a detection operation model M. In one embodiment, the modeling phase may be after the fan 20 is first started; or the fan 20 is controlled by the system side 19 to Reset (Reset) and then started again; or in a test stage before the fan 20 is shipped from the factory, etc., the detection operation model M is established. In one embodiment, the arithmetic unit 123 further includes a modeling unit 123A, and the modeling unit 123A is configured to receive the at least one excitation value data D1 and the at least one rotation value data D2 of the memory unit 122 during the modeling phase 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 phase of the testing period to establish the testing operation model M. That is, the detection operation model M is established by a plurality of excitation value data D1 and rotation value data D2. Therefore, the modeling phase of the testing period is an initial phase, and the at least one excitation value data D1 and the at least one rotation value data D2 from the memory unit 122 are used to establish the testing operation model M instead of performing testing during the modeling phase of the testing period.
In one embodiment, the storage unit 15 is used for storing the detection operation model M. For example: the storage unit 15 may be a non-volatile memory, and the stored data does not disappear after the power supply is interrupted. In a diagnosis stage of the detection period, the arithmetic unit 123 is configured 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 to output at least one detection result signal R. In one embodiment, the computing unit 123 further comprises a comparing unit 123B for comparing the at least one excitation value data D1 and the at least one rotation value data D2 of the memory unit 122 with the detection operation model M of the storage unit 15 during the diagnosis phase to output the at least one detection result signal R. The diagnosis phase during the inspection is a phase after the modeling phase has established the inspection operation model M, in which the storage unit 15 has stored the inspection operation model M, and 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 inspection and diagnosis, but are not required for establishing the inspection operation model M.
FIG. 6C is a waveform diagram showing the detection run model of the present invention relative to FIG. 6A as a function of time. FIG. 6D is an enlarged waveform diagram of the present invention in the time interval A of FIG. 6C. Referring to fig. 1, fig. 6C and fig. 6D together, a waveform diagram of the operational model and the time relationship is shown, and includes 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. In the diagnosis stage of the detection period, the arithmetic unit 123 is configured 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, and if the warning interval G1 of the detection operation model is exceeded and a set time lasts, the detection result signal is an abnormal signal indicating that the fan may be abnormal and may need to be maintained.
In an embodiment, the automatic fan detection system 10 further includes a prompt unit 14 for receiving the at least one detection result signal R, and if the at least one detection result signal is the abnormal signal, the prompt unit 14 outputs a warning message. In one embodiment, the prompting unit 14 can be a warning light, an alarm, a display, or the like.
In one embodiment, during the diagnosis phase of the detection period, the arithmetic unit 123 is configured 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, and if the operation result signal is within the operation normal interval G2 of the detection operation model, the detection result signal is an operation normal signal. The presentation unit 14 outputs the operation normal information.
In one embodiment, during the diagnosis phase of the detection period, the computing unit 123 is configured 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, and if within the operation-good interval G3 of the detection operation model, the detection result signal is an operation-good signal. The presentation unit 14 outputs the operation-good information.
In an 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 conversion unit 121, the memory unit 122 and the operation unit 123. In one embodiment, the prompting unit 14 and the storage unit 15 are disposed in the fan 20. In one embodiment, the automatic fan detection system 10 further includes a sensor 111 disposed on the motor 11 for detecting a 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.
The automatic fan detecting system 10 of the present invention can detect the variation of the fan in advance to inform the user in advance, so that the user can perform proper maintenance in time to maintain the operation of the fan and the personal computer or the electronic device, and avoid the occurrence of the shutdown or crash of the related equipment. Moreover, the automatic fan detection system 10 of the present invention can predict the life and health of the fan.
FIG. 2 is a block diagram of an automatic fan detection system according to a second embodiment of the present invention. Referring to fig. 2, in an embodiment, the automatic fan 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 automatic fan detecting system 3 of the present invention further includes a computer device 32 electrically connected to the adapting circuit board 31, wherein the computer device 32 includes the memory unit 122, the computing unit 123, the storage unit 15 and the prompting unit 14. The computer device 32 can be a personal computer or a system computer device for automatically detecting the fan 20, and the above-mentioned effects can be achieved.
FIG. 3 is a block diagram of an automatic fan detection system according to a third embodiment of the present invention. Referring to fig. 3, in an embodiment, the fan automatic detection system 21 of the present invention is disposed 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 period to periodically output the at least one excitation signal to the motor 11. For example: the fan may be automatically detected every 100 hours of operation, or may be set to automatically detect every week. In one embodiment, the detection timer 126 may be disposed within the microcontroller 12. Therefore, the fan 20 itself can automatically detect without receiving an external control signal by the fan automatic detection system 21 of the present invention, and the above-mentioned effects can be achieved.
FIG. 4 is a block diagram of an automatic fan detection system according to a fourth embodiment of the present invention. Referring to fig. 4, in an embodiment, the fan automatic detection system 22 of the present invention is disposed in the fan 20, and the fan automatic detection system 22 of the present invention further includes a slow start triggering unit 127 for outputting the at least one excitation signal to the motor 11 after the motor 11 is slow started. Since the motor 11 can be normally operated after a certain time has elapsed after the slow start, the time can be used for automatic detection. For example: the automatic detection may be performed after each soft start, or may be performed after the soft start in conjunction with the detection timer 126 of fig. 3, set at the detection period, and after the soft start. In one embodiment, the soft start trigger unit 127 may be disposed within the microcontroller 12. Therefore, the fan 20 of the present invention can automatically detect without receiving an external control signal, and achieve the above-mentioned effects.
FIG. 5 is a flow chart illustrating an automatic fan detection method according to the present invention. Referring to fig. 1 and 5, in an embodiment, in step S51, during a detection period, at least one excitation signal S1 is transmitted to the motor 11, the motor 11 is disposed in the fan 20, and outputs at least one uncompensated rotation signal S2. Referring to step S52, the at least one excitation signal S1 and the at least one uncompensated rotation signal S2 are converted 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 utilized to receive the at least one excitation signal S1 and the at least one uncompensated rotation signal S2, and convert the at least one excitation value data D1 and the at least one rotation value data D2 into corresponding values.
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 may be utilized to temporarily store the at least one excitation value data D1 and the at least one rotation value data D2. Referring to step S54, a determination is made as to whether the test period is a modeling period or a diagnosis period, and if the test period is the modeling period, step S55 is performed, and if the test period is the diagnosis period, step S56 is performed. Referring to step S55, during the modeling phase of the inspection period, an operation is performed to create an inspection operation model M according to the at least one excitation value data D1 and the at least one rotation value data D2, and the inspection operation model M is stored. In one embodiment, the operation unit 123 can be used to perform operations to establish the detection operation model. In one embodiment, the storage unit 15 may be utilized to store the detection operation model M. Referring to step S56, in the diagnosis stage 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 comparison may be performed by the arithmetic unit 123.
Fig. 7A is a waveform diagram showing the relationship between the duty cycle of the sine wave and the time of the PWM signal according to the present invention. FIG. 7B is a waveform diagram illustrating the relationship between the uncompensated rotation signal and time with respect to FIG. 7A according to the present invention. FIG. 7C is a waveform diagram showing the detection run model of the present invention relative to FIG. 7A versus time. FIG. 7D is an enlarged waveform diagram of a first time interval B1 in FIG. 7C according to the present invention. FIG. 7E is an enlarged waveform diagram of the second time interval B2 of FIG. 7C according to the present invention. FIG. 7F is an enlarged waveform diagram illustrating a third time interval B3 of FIG. 7C according to the present invention. Referring first to fig. 7A, a waveform diagram of a Duty Cycle of the PWM signal set as a sine wave signal according to an embodiment of the present invention is shown. The duty cycle interval may be 12.2% -94.6%. Referring next to fig. 7B, a waveform diagram of the uncompensated rotation signal output by the motor 11 according to an embodiment of the present invention is shown, relative to the sine wave duty cycle of the set PWM signal input to the motor 11 in fig. 7A. Referring next to fig. 7C, 7D, 7E and 7F, waveforms of the detection operation model and the time relationship are schematically shown, and include a prediction data P and an experimental data E according to an embodiment of the present invention. 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 automatic fan detection system or the automatic fan detection method of the present invention, the sine wave duty cycle of the PWM signal set in fig. 7A can be used to establish the corresponding detection operation model and perform automatic detection.
FIG. 8 is a waveform diagram illustrating the relationship between the actual inspection data and the inspection run model and the time according to an embodiment of the present invention. Referring to fig. 8, the detection operation model according to an embodiment of the present invention includes an upper limit and a lower limit, and if the actual detection data (e.g., the actual speed) exceeds the upper limit or the lower limit of the detection operation model for a predetermined time, the detection result 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 can detect the variation condition of the fan in advance to inform a user in advance, so that the user can carry out proper maintenance in time to maintain the operation of the fan, a personal computer or an electronic device and other equipment and avoid the occurrence of the condition of shutdown or crash of the related equipment. In addition, the automatic fan detection system or the automatic fan detection method can predict the service life and the health degree of the fan.
The above embodiments are merely illustrative of the principles and effects of the present invention, and do not limit the present invention. Modifications and variations of the above-described embodiments may be made by those skilled in the art without departing from the spirit of the invention. The scope of the invention is to be determined by the following claims.
Claims (31)
1. An automatic fan detection system, comprising:
a motor, arranged in a fan, for receiving at least one excitation signal during a detection period to operate and outputting 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 the at least one excitation signal and the at least one uncompensated rotation signal into corresponding at least one excitation numerical data and at least one rotation numerical data;
a memory unit for temporarily storing the at least one excitation value data and the at least one rotation value data;
an arithmetic unit, for receiving the at least one excitation value data and the at least one rotation value data at a modeling stage of the detection period to establish a detection operation model; and
a storage unit for storing the detection operation model;
in a diagnosis stage of the detection period, the arithmetic unit is used for comparing the at least one excitation numerical value data and the at least one rotation numerical value data with the detection operation model so as to output at least one detection result signal.
2. The system as claimed in claim 1, further comprising a driving unit for outputting the at least one excitation signal to the motor.
3. The system as claimed in claim 2, wherein the at least one excitation signal is a set PWM signal.
4. The system as claimed in claim 3, wherein the duty cycle of the PWM signal is a step signal, a sine wave signal or a combination of the step signal and the sine wave signal.
5. The system as claimed in claim 1, further comprising a detection timer for setting a detection period to periodically output the at least one excitation signal to the motor.
6. The system as claimed in claim 1, further comprising a soft start triggering unit for outputting the at least one excitation signal to the motor after the motor is soft started.
7. The system as claimed in claim 1, wherein the detection operation model includes a normal operation interval and a warning interval.
8. The system as claimed in claim 7, wherein the computing unit is configured to compare the at least one excitation value data and the at least one rotation value data with the detection operation model during the diagnosis phase of the detection period, and if the warning interval of the detection operation model is exceeded and a set time lasts, the detection result signal is an abnormal signal.
9. The system as claimed in claim 8, further comprising a prompt unit for receiving the at least one detection result signal, wherein the prompt unit outputs a warning message if the at least one detection result signal is the abnormal signal.
10. The system as claimed in claim 7, wherein the computing unit is configured to compare the at least one excitation value data and the at least one rotation value data with the detection operation pattern during the diagnosis phase of the detection period, and the detection result signal is an operation normal signal if the operation normal interval of the detection operation pattern is within the operation normal interval.
11. The system as claimed in claim 10, further comprising a prompt unit for receiving the at least one detection result signal, wherein the prompt unit outputs the normal operation information if the at least one detection result signal is the normal operation signal.
12. The system as claimed in claim 7, wherein the operation detection model further comprises a good operation interval, the operation unit is configured to compare the at least one excitation value data and the at least one rotation value data with the operation detection model during the diagnosis phase of the operation detection period, and the operation detection result signal is a good operation signal if the operation detection result signal is within the good operation interval of the operation detection model.
13. The system as claimed in claim 12, further comprising a prompt unit for receiving the at least one detection result signal, wherein the prompt unit outputs the operation ok message if the at least one detection result signal is the operation ok signal.
14. The system as claimed in claim 1, further comprising a switch circuit board, wherein the switch unit is disposed on the switch circuit board.
15. The system as claimed in claim 14, further comprising a computer device electrically connected to the adapting circuit board, wherein the computer device comprises the memory unit, the computing unit, the storage unit and the prompting unit.
16. The system as claimed in claim 1, further comprising a microcontroller disposed in the fan, wherein the microcontroller comprises the converting unit, the memory unit and the computing unit.
17. The system as claimed in claim 16, further comprising a sensor disposed on the motor for detecting a rotational state of the motor and outputting the at least one uncompensated rotational signal to the microcontroller.
18. The system of claim 17, wherein the sensor is a hall sensor.
19. The system as claimed in claim 16, further comprising a prompt unit disposed in the fan, and the storage unit is disposed in the fan.
20. The system as claimed in claim 1, wherein the computing unit further includes a modeling unit for receiving the at least one excitation data and the at least one rotation data of the memory unit to establish the detection operation model during the modeling stage, and a comparing unit for comparing the at least one excitation data and the at least one rotation data of the memory unit with the detection operation model of the storage unit during the diagnosis stage to output the at least one detection result signal.
21. An automatic fan detection method is characterized by comprising the following steps:
transmitting at least one excitation signal to a motor during a detection period, wherein the motor is arranged in a fan and outputs at least one uncompensated rotation signal;
converting the at least one excitation signal and the at least one uncompensated rotation signal into corresponding at least one excitation numerical data and at least one rotation numerical data;
temporarily storing the at least one excitation numerical data and the at least one rotation numerical data;
determining a modeling stage during the testing period or a diagnosis stage during the testing period;
in the modeling stage of the detection period, calculating according to the at least one excitation numerical data and the at least one rotation numerical data to establish a detection operation model and store the detection operation model; and
at the diagnosis stage of the detection period, the at least one excitation numerical data and the at least one rotation numerical data are compared with the detection operation model to output at least one detection result signal.
22. The method as claimed in claim 21, wherein the at least one excitation signal is output from a driving unit to the motor.
23. The method as claimed in claim 21, further comprising a detection timing step for setting a detection period to periodically output the at least one excitation signal.
24. The method as claimed in claim 21, further comprising a slow start triggering step for outputting the at least one excitation signal to the motor after the motor is slow started.
25. The method as claimed in claim 21, wherein the detection operation model includes a normal operation interval and a warning interval.
26. The method as claimed in claim 25, wherein the at least one excitation value data and the at least one rotation value data are compared with the detection operation pattern during the diagnosis phase of the detection period, and if the warning interval of the detection operation pattern is exceeded for a predetermined time, the detection result signal is an abnormal signal.
27. The method as claimed in claim 26, further comprising a step of outputting an alarm message if the at least one detection result signal is the abnormal signal.
28. The method as claimed in claim 25, wherein the at least one excitation value data and the at least one rotation value data are compared with the detection operation pattern during the diagnosis period of the detection period, and the detection result signal is an operation normal signal if the operation normal period of the detection operation pattern is within the operation normal period.
29. The method as claimed in claim 28, further comprising a step of outputting the normal operation information if the at least one detection result signal is the normal operation signal.
30. The method as claimed in claim 25, wherein the detection operation pattern further includes a good operation interval, the at least one excitation value data and the at least one rotation value data are compared with the detection operation pattern during the diagnosis period of the detection period, and the detection result signal is a good operation signal if the at least one excitation value data and the at least one rotation value data are within the good operation interval of the detection operation pattern.
31. The method as claimed in claim 30, further comprising a prompt step, wherein if the at least one detection result signal is the good operation signal, the good operation information is outputted.
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| TW109146676 | 2020-12-29 | ||
| TW109146676A TWI762122B (en) | 2020-12-29 | 2020-12-29 | Fan automatic detection system and fan automatic detection method |
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Also Published As
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| TW202225715A (en) | 2022-07-01 |
| TWI762122B (en) | 2022-04-21 |
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