CN108152738A - Motor work condition inspection method and its device - Google Patents
Motor work condition inspection method and its device Download PDFInfo
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- CN108152738A CN108152738A CN201711425098.5A CN201711425098A CN108152738A CN 108152738 A CN108152738 A CN 108152738A CN 201711425098 A CN201711425098 A CN 201711425098A CN 108152738 A CN108152738 A CN 108152738A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
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- General Physics & Mathematics (AREA)
- Control Of Electric Motors In General (AREA)
- Tests Of Circuit Breakers, Generators, And Electric Motors (AREA)
Abstract
The invention discloses a kind of motor work condition inspection method and its devices, and described method includes following steps：Acquire motor working current；The motor working current of acquisition is AD converted, obtains motor working current digital signal；According to default classifying rules, classification storage is carried out to the motor working current digital signal；For every a kind of motor working current digital signal after classification storage, multiple motor working current digital signals are extracted from storage content with predetermined period；Using the class categories of motor working current digital signal currently extracted as condition, based on the variation tendency of multiple motor working current digital signals extracted, motor Diagnosis of Work Conditions result is obtained；The present invention can early identify whether motor operation is abnormal, the pre-cooling early warning before electrical fault aging is still not enough to triggering alarm signal.
Description
Technical field
The present invention relates to a kind of motor work condition inspection technical field, specially a kind of motor work condition inspection method and its dress
It puts.
Background technology
Self-service dealing equipment such as ATM, cash recycling system, withdrawal all-in-one machine, self-service financial instrument etc. generally require to use
A plurality of types of motors of certain amount provide movement transmission and money sorting mechanism power etc., such as the integrated cycle movement of withdrawal, deposit
One of withdrawing the money wholesale movement, medium-and-large-sized cleaning-sorting machine and cash register, the cashless instruments such as hair U-shield, card sender, hair K treasured, are both needed to multiple
Motor provides transmission power.In the prior art, for the work condition inspection means of these motors, it is substantially reading motor driver
The function signals such as itself included overcurrent, excess temperature, open coil, when there is machine driving load increase, motor and motor drive
The operating current of dynamic device can then increase, and temperature can also increase, once beyond original upper limit value, further trigger alarm signal,
System is by hard stop or reports an error.
It can protect device against damages immediately by above-mentioned motor work condition inspection means, but be loaded in machine driving
Occur due to tooth belt abrasion or grease are solid etc. electric current it is slowly increased in the case of, on original
Limit value, system are just unaware of；With the growth of time, this machinery heel and toe wear and motor and device high current work
Situation will always exist, and then can acceleration mechanical, motor and device aging, and power consumption also can further increase.
Invention content
The it is proposed of the present invention in view of the above problems, and motor operating mode can effectively be understood, conducive to raising motor by developing one kind
The motor work condition inspection method and its device of service life.
The technological means of the present invention is as follows：
A kind of motor work condition inspection method, includes the following steps：
Acquire motor working current；
The motor working current of acquisition is AD converted, obtains motor working current digital signal；
According to default classifying rules, classification storage is carried out to the motor working current digital signal；
For every a kind of motor working current digital signal after classification storage, extracted from storage content with predetermined period
Go out multiple motor working current digital signals；
Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple electricity extracted
The variation tendency of machine operating current digital signal obtains motor Diagnosis of Work Conditions result；
Further, it is described using the class categories of motor working current digital signal currently extracted as condition, it is based on
The variation tendency of multiple motor working current digital signals extracted, output motor Diagnosis of Work Conditions result step specifically include：
Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple electricity extracted
The variation tendency of machine operating current digital signal determines the motor working current digital signal for belonging to exceptional data point；
Using multiple and different exceptional data points as sample data, and add corresponding motor operating mode for the sample data and examine
The label of disconnected result；
Machine learning training is carried out to the sample data and establishes the machine learning model, which uses
In the case of multiple motor working current digital signals in input predetermined period, output motor Diagnosis of Work Conditions result；
Further, the default classifying rules is motor type, motor index number, electric motors function, motor work shape
State and/or motor business model；
Further, the predetermined period is set according to the devote oneself to work difference of duration of motor；
Further, also it is described while corresponding motor Diagnosis of Work Conditions result label is added for the sample data
Sample data adds handling suggestion label；The machine learning model goes back the output phase while output motor Diagnosis of Work Conditions result
The handling suggestion answered.
A kind of motor operation situation monitoring device, including：
Acquisition portion is configurable for acquisition motor working current；
A/D converter sections are configured as being AD converted the motor working current of acquisition, obtain motor working current number
Word signal；
Storage part is configured as, according to default classifying rules, classifying to the motor working current digital signal
Storage；
Extraction unit is configured as every a kind of motor working current digital signal after classification storage, with predetermined week
Phase extracts multiple motor working current digital signals from storage content；With
Processing unit is configured as the class categories of motor working current digital signal that will currently extract as condition,
Based on the variation tendency of multiple motor working current digital signals extracted, motor Diagnosis of Work Conditions result is obtained；
Further, the processing unit is specifically configured to carry out following operate：
Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple electricity extracted
The variation tendency of machine operating current digital signal determines the motor working current digital signal for belonging to exceptional data point；
Using multiple and different exceptional data points as sample data, and add corresponding motor operating mode for the sample data and examine
The label of disconnected result；
Machine learning training is carried out to the sample data and establishes the machine learning model, which uses
In the case of multiple motor working current digital signals in input predetermined period, output motor Diagnosis of Work Conditions result；
Further, it is characterised in that the default classifying rules for motor type, motor index number, electric motors function,
Electric machine operation state and/or motor business model；
Further, the predetermined period is set according to the devote oneself to work difference of duration of motor；
Further, while corresponding motor Diagnosis of Work Conditions result label is added for the sample data, the processing
Also handling suggestion label is added for the sample data in portion；The machine learning model is same output motor Diagnosis of Work Conditions result
When also export corresponding handling suggestion.
By adopting the above-described technical solution, motor work condition inspection method provided by the invention and its device, can realize
The variation tendency of periodicity analysis motor working current with reference to machine mode of learning, can early identify whether motor operation is different
Often, the pre-cooling early warning before electrical fault aging is still not enough to triggering alarm signal, to instruct simultaneously to arrange to overhaul in time
Personnel overhaul motor or are shut down processing, can prevent from leading to the further damage of financial self-service equipment because of motor problem, with
Just equipment management personnel is visually known the operating status of motor accordingly, and motor is replaced in time, improves self-service finance and sets
Standby efficiency of operation.
Description of the drawings
Fig. 1 is the flow chart of the motor work condition inspection method of the embodiment of the present invention 1；
Fig. 2 is the flow example figure of step 5 in the embodiment of the present invention 1；
Fig. 3 is the structure diagram of the motor operation situation monitoring device of the embodiment of the present invention 1；
Fig. 4 is the driving exemplary plot of DC brushless motor of the present invention；
Fig. 5 is the driving exemplary plot of brush direct current motor of the present invention；
Fig. 6 is the driving exemplary plot of stepper motor of the present invention；
Fig. 7 is the implementation exemplary plot of AD conversion of the present invention.
Specific embodiment
In order to which the goal of the invention, technical solution and its technique effect that make the present invention are more clear, below in conjunction with attached drawing and tool
Body embodiment, the present invention is described in more detail.It should be understood that the specific embodiment described in this specification is only
Merely to explaining the present invention, it is not intended to limit the present invention.In the absence of conflict, the embodiment in the present invention and implementation
Feature in example can be combined with each other.
The present invention provides a kind of motor work condition inspection method, Fig. 1 is the motor work condition inspection method of the embodiment of the present invention 1
Flow chart, as shown in Figure 1, it may include steps of：
Step 1：Acquire motor working current；Real-time sampling or timesharing may be used in the acquisition of the motor working current
Sampling；
Step 2：The motor working current of acquisition is AD converted, obtains motor working current digital signal；It assuming that will
Motor work condition inspection method described in the present embodiment is applied to automatic trading apparatus, financial self-service equipment etc., in these devices or sets
Involved motor type can have stepper motor, brush direct current motor, DC brushless motor, servo motor etc. in standby；Fig. 4 shows
The driving exemplary plot of DC brushless motor of the present invention is gone out, as shown in figure 4, model may be used in the DC brushless motor
It being driven for the motor drive ic of A4938, motor working current can be acquired by the pin SENSE of A4938, specifically,
Sampling resistor Rs=0.03 Ω flow through the electric current Is=0-6A of the sampling resistor, sampled voltage Vs=0-0.18V, further,
Before being AD converted to motor working current, motor working current can be amplified according to amplification factor n=10；Figure
5 show the driving exemplary plot of brush direct current motor of the present invention, as shown in figure 5, the brush direct current motor may be used
The motor drive ic of model DRV8800 drives, and motor working current can be acquired by the pin SENSE of DRV8800,
Specifically, sampling resistor Rs=0.1 Ω flow through the electric current Is=0-1A of the sampling resistor, sampled voltage Vs=0-0.1V, into one
Step ground, before being AD converted to motor working current, motor working current can be put according to amplification factor n=20
Greatly；Fig. 6 shows the driving exemplary plot of stepper motor of the present invention, as shown in fig. 6, model may be used in the stepper motor
It is driven for the motor drive ic of SLA7078MS, motor working current can be by the pin SenseA and SenseB of SLA7078MS
It is acquired, specifically, sampling resistor Rs=0.155 Ω built in SLA7078MS flow through the electric current Is=0- of the sampling resistor
3A, sampled voltage Vs=0-0.465V, further, can be to motor work before being AD converted to motor working current
Make electric current to be amplified according to amplification factor n=5；Fig. 7 shows the implementation exemplary plot of AD conversion of the present invention, M1 in Fig. 7,
M2 ..., Mn can refer to each motor working current of acquisition, the ADC chips in Fig. 7 are used to implement the electricity that works the motor of acquisition
The AD conversion of stream, the sampling resolution of the ADC chips can be 12, and the voltage of ADC chip pins Vref directly uses
Vref represents that then motor working current Is=Vs/Rs=((ADC/4098) * Vref)/(Rs*n), ADC here represent ADC cores
Sampling resolution, the Vref of piece represent that the voltage of ADC chip pins Vref, Rs represent that the size of sampling resistor, n represent aforementioned and carry
The amplification factor arrived；It is logical that the ADC chips can select multichannel analog input, 10 or more parallel digital signals to export
With ADC devices, due to not high to requirement of real-time, so choosing low-frequency sampling clock ADC that can meet.
Step 3：According to default classifying rules, classification storage is carried out to the motor working current digital signal；It is described pre-
If classifying rules can be previously set, it is preferable that the default classifying rules can be motor type, motor index number, electricity
Machine function, electric machine operation state and/or motor business model；The motor type can be stepper motor, brush direct current motor,
DC brushless motor, servo motor etc.；The motor index number can be M0001, M0002, M0003 etc.；The motor work(
It can be able to be channel transfer power, dig note distribution power, lift and push power etc.；The electric machine operation state can be to start, even
Reforwarding row, zero load, band load etc.；The motor business model can be test, withdrawal, deposit, sorting etc.；Each above-mentioned classification
Classification can be used as a kind of motor working condition, for example, can be according to multiple electricity that the motor type extracted is stepper motor
The variation tendency of machine operating current digital signal exports motor Diagnosis of Work Conditions that the motor type is stepper motor as a result, can be with
According to the variation tendency for multiple motor working current digital signals that the motor index number extracted is M0001, the electricity is exported
The motor Diagnosis of Work Conditions that machine index number is M0001 is as a result, can be channel transfer power according to the electric motors function extracted
The variation tendency of multiple motor working current digital signals exports the motor Diagnosis of Work Conditions that the electric motors function is channel transfer power
As a result, can also be that the variation with the multiple motor working current digital signals carried becomes according to the electric machine operation state extracted
Gesture exports the electric machine operation state as the motor Diagnosis of Work Conditions with load as a result, can also be according to the motor business model extracted
The variation tendency of multiple motor working current digital signals for sorting exports the motor operating mode that the motor business model is sorting
Diagnostic result, i.e., the class categories of motor working current digital signal currently extracted can be specific motor type, motor
Index number, electric motors function, electric machine operation state and/or motor business model；To the motor working current digital signal into
The real process of row classification storage can be that the motor working current digital signal of class categories of the same race is moved respective case
In formula storehouse, further, single stack full can correspond to the motor working current variation under single working condition, multiple storehouses
The motor working current variation under multiple working conditions can be corresponded to, single storehouse can correspond to the work condition state of single motor,
Multiple storehouses can correspond to the work condition state of multiple motors.
Step 4：For after classification storage per a kind of motor working current digital signal, with predetermined period from storage content
In extract multiple motor working current digital signals；Preferably, the predetermined period can devote oneself to work duration according to motor
Difference set, specifically, if motor be currently at equipment Fertilizing stage (motor devote oneself to work duration it is default less than first when
Between), then the predetermined period is typically less than the short period of period 1 limit value, if motor is currently at (electricity of stable phase
Machine devotes oneself to work duration more than the second preset time), then the predetermined period is typically greater than the long period of second round limit value,
If motor is currently at aging period (motor devotes oneself to work duration more than third preset time), the predetermined period is generally small
In the short period of period 3 limit value, the period 3 limit value can be equal with the period 1 limit value；Preferably, in step
Before rapid 4, it can also include formulating multiple motor working current digital signals according to the devote oneself to work situation of duration of motor
It extracts strategy step, i.e., adjusts and set predetermined period according to the devote oneself to work situation of duration of motor；
Step 5：Using the class categories of motor working current digital signal currently extracted as condition, based on what is extracted
The variation tendency of multiple motor working current digital signals obtains motor Diagnosis of Work Conditions result；The motor Diagnosis of Work Conditions result
It can be non-just including electrical-coil aging, the reduction of magnetic cylinder magnetism, operating voltage decline, line load increase, mechanical interference, machinery
Often abrasion etc..
As further preferred embodiment, Fig. 2 shows the flow example figures of step 5 in the embodiment of the present invention 1, such as scheme
It is further, described using the class categories of motor working current digital signal currently extracted as condition shown in 2, based on carrying
The variation tendency for the multiple motor working current digital signals taken out, output motor Diagnosis of Work Conditions result step specifically include：
Step 51：Using the class categories of motor working current digital signal currently extracted as condition, based on extracting
Multiple motor working current digital signals variation tendency, determine to belong to the motor working current number letter of exceptional data point
Number；
Step 52：Using multiple and different exceptional data points as sample data, and it is the corresponding electricity of sample data addition
The label of machine Diagnosis of Work Conditions result；
Step 53：Machine learning training is carried out to the sample data and establishes the machine learning model, the engineering
In the case of practising multiple motor working current digital signals that model is used in input predetermined period, output motor Diagnosis of Work Conditions
As a result；During practical application, the multiple motor working current digital signals extracted can be fitted operation, in ideal situation
The lower horizontal line that will be obtained a microseism and swing, actual conditions be then often it is sporadic occur it is indivedual or a small number of acutely up or past
The point of lower string revert to microseism again later and swings, and can will deviate from microseism and swing the point of horizontal line preset vertical distance as abnormal number
Strong point for these exceptional data points, (manually sets the motor Diagnosis of Work Conditions result of these exceptional data points by user's input pin
Determine Exception Type or processing ignored in selection), Machine self-learning simultaneously remembers corresponding motor Diagnosis of Work Conditions as a result, when by a certain amount of
Data reserve and described point after, horizontal line can also gradually become upstream or downstream trend, and so on, one fixed number of machine learning
The Exception Type and processing mode of amount, then can form corresponding machine learning model.
Motor work condition inspection method can pass through ATM, automatic teller machine, automatic drawing described in the present embodiment
Processor and memory built in the equipment such as machine, ATM machine perform, can also be by other devices for being connected with above equipment
For example processing equipment, monitor terminal, monitoring system etc. are realized.
The present embodiment and its preferred embodiment can analyze the variation tendency of motor working current, bonding machine with property performance period
Device mode of learning can early identify whether motor operation abnormal, electrical fault aging be still not enough to triggering alarm signal it
Preceding pre-cooling early warning to instruct simultaneously to arrange service personnel that processing is overhauled or shut down to motor in time, can be prevented because of electricity
Machine problem leads to the further damage of financial self-service equipment, so that equipment management personnel is visually known the operation shape of motor accordingly
State in time replaces motor, improves the efficiency of operation of financial self-service equipment.
The present invention also provides preferred embodiments further improved on the basis of embodiment 1, are being described further
While sample data adds corresponding motor Diagnosis of Work Conditions result label, also handling suggestion label is added for the sample data；
The machine learning model also exports corresponding handling suggestion while output motor Diagnosis of Work Conditions result；Here processing meaning
See to be the abnormality processing mode or scheme for motor work condition abnormality diagnostic result；Further, when motor operating mode not
When normal, it may remind the user that replacement or safeguard motor.
The present invention also provides a kind of motor operation situation monitoring device, Fig. 3 is the motor work condition inspection dress of the embodiment of the present invention 1
The structure diagram put, a kind of motor operation situation monitoring device as shown in Figure 3, including：Acquisition portion 1, A/D converter sections 2, storage part
3rd, extraction unit 4 and processing unit 5；The acquisition portion 1 is configurable for acquisition motor working current；The A/D converter sections 2 by with
It is set to and the motor working current of acquisition is AD converted, obtain motor working current digital signal；The storage part 3 is configured
For according to default classifying rules, classification storage is carried out to the motor working current digital signal；The extraction unit 4 is configured as
For every a kind of motor working current digital signal after classification storage, multiple electricity are extracted from storage content with predetermined period
Machine operating current digital signal；The processing unit 5 is configured as the classification of motor working current digital signal that will currently extract
Classification, based on the variation tendency of multiple motor working current digital signals extracted, obtains motor Diagnosis of Work Conditions as condition
As a result；Further, the processing unit 5 is specifically configured to carry out following operate：The motor working current number that will currently extract
The class categories of word signal, based on the variation tendency of multiple motor working current digital signals extracted, are determined as condition
Belong to the motor working current digital signal of exceptional data point；Using multiple and different exceptional data points as sample data, and it is
The label of the sample data addition corresponding motor Diagnosis of Work Conditions result；Machine learning training is carried out to the sample data and is built
The machine learning model is found, which is used for multiple motor working current numbers letter in input predetermined period
In the case of number, output motor Diagnosis of Work Conditions result；Further, it is characterised in that the default classifying rules is electric machinery
Type, motor index number, electric motors function, electric machine operation state or motor business model；Further, the predetermined period according to
The devote oneself to work difference of duration of motor is set；Further, corresponding motor Diagnosis of Work Conditions knot is being added for the sample data
While fruit label, the processing unit 5 also adds handling suggestion label for the sample data；The machine learning model is defeated
Corresponding handling suggestion is also exported while going out motor Diagnosis of Work Conditions result；It can be by for each module of motor operation situation monitoring device
Corresponding hardware or software unit realize that each module can be independent soft and hardware unit, can also be integrated into one of terminal
Soft and hardware unit；The hardware-accelerated operation platform of FPGA+ARM establishments may be used in the processing unit 5.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (10)
- A kind of 1. motor work condition inspection method, which is characterized in that described method includes following steps：Acquire motor working current；The motor working current of acquisition is AD converted, obtains motor working current digital signal；According to default classifying rules, classification storage is carried out to the motor working current digital signal；For, per a kind of motor working current digital signal, being extracted from storage content with predetermined period more after classification storage A motor working current digital signal；Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple motor works extracted Make the variation tendency of current digital signal, obtain motor Diagnosis of Work Conditions result.
- 2. motor work condition inspection method according to claim 1, it is characterised in that described that the motor currently extracted works The class categories of current digital signal are become as condition based on the variation of multiple motor working current digital signals extracted Gesture, output motor Diagnosis of Work Conditions result step specifically include：Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple motor works extracted Make the variation tendency of current digital signal, determine the motor working current digital signal for belonging to exceptional data point；Using multiple and different exceptional data points as sample data, and corresponding motor Diagnosis of Work Conditions knot is added for the sample data The label of fruit；Machine learning training is carried out to the sample data and establishes the machine learning model, which is used for In the case of inputting multiple motor working current digital signals in predetermined period, output motor Diagnosis of Work Conditions result.
- 3. motor work condition inspection method according to claim 1, it is characterised in that the default classifying rules is electric machinery Type, motor index number, electric motors function, electric machine operation state and/or motor business model.
- 4. motor work condition inspection method according to claim 1, it is characterised in that the predetermined period is put into according to motor The difference of operating time is set.
- 5. motor work condition inspection method according to claim 2, it is characterised in that corresponding for sample data addition While motor Diagnosis of Work Conditions result label, also handling suggestion label is added for the sample data；The machine learning model Corresponding handling suggestion is also exported while output motor Diagnosis of Work Conditions result.
- 6. a kind of motor operation situation monitoring device, which is characterized in that described device includes：Acquisition portion is configurable for acquisition motor working current；A/D converter sections are configured as being AD converted the motor working current of acquisition, obtain motor working current number letter Number；Storage part is configured as, according to default classifying rules, classification storage being carried out to the motor working current digital signal；Extraction unit, be configured as after classification storage per a kind of motor working current digital signal, with predetermined period from Multiple motor working current digital signals are extracted in storage content；WithProcessing unit, the class categories of motor working current digital signal for being configured as currently extracting are based on as condition The variation tendency of multiple motor working current digital signals extracted, obtains motor Diagnosis of Work Conditions result.
- 7. motor operation situation monitoring device according to claim 6, it is characterised in that the processing unit be specifically configured into Row is following to be operated：Using the class categories of motor working current digital signal currently extracted as condition, based on the multiple motor works extracted Make the variation tendency of current digital signal, determine the motor working current digital signal for belonging to exceptional data point；Using multiple and different exceptional data points as sample data, and corresponding motor Diagnosis of Work Conditions knot is added for the sample data The label of fruit；Machine learning training is carried out to the sample data and establishes the machine learning model, which is used for In the case of inputting multiple motor working current digital signals in predetermined period, output motor Diagnosis of Work Conditions result.
- 8. motor operation situation monitoring device according to claim 6, it is characterised in that the default classifying rules is electric machinery Type, motor index number, electric motors function, electric machine operation state and/or motor business model.
- 9. motor operation situation monitoring device according to claim 6, it is characterised in that the predetermined period is put into according to motor The difference of operating time is set.
- 10. motor operation situation monitoring device according to claim 7, it is characterised in that corresponding for sample data addition While motor Diagnosis of Work Conditions result label, the processing unit also adds handling suggestion label for the sample data；The machine Device learning model also exports corresponding handling suggestion while output motor Diagnosis of Work Conditions result.
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| CN109274071A (en) * | 2018-09-14 | 2019-01-25 | 河南森尼瑞电气有限公司 | A kind of motor protector intelligent monitoring and early warning system and method based on Internet of Things |
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| CN112858904A (en) * | 2019-11-26 | 2021-05-28 | 富士电机机器制御株式会社 | Diagnostic device, distributor, control panel, diagnostic method and storage medium |
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