CN106990369A - A kind of colliery Silver Joint of Wirerope Conveyor structural recognition method - Google Patents
A kind of colliery Silver Joint of Wirerope Conveyor structural recognition method Download PDFInfo
- Publication number
- CN106990369A CN106990369A CN201710320049.9A CN201710320049A CN106990369A CN 106990369 A CN106990369 A CN 106990369A CN 201710320049 A CN201710320049 A CN 201710320049A CN 106990369 A CN106990369 A CN 106990369A
- Authority
- CN
- China
- Prior art keywords
- leakage field
- signal
- point
- noise reduction
- joint
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/02—Measuring direction or magnitude of magnetic fields or magnetic flux
Landscapes
- Physics & Mathematics (AREA)
- Condensed Matter Physics & Semiconductors (AREA)
- General Physics & Mathematics (AREA)
- Feedback Control In General (AREA)
Abstract
The invention discloses a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method, including step：First, vulcanized joint magnetic leakage signal is obtained；2nd, vulcanized joint magnetic leakage signal noise reduction；3rd, noise reduction leakage field sampling ordered sequence is chosen；4th, signal smoothing is handled；5th, the Local Extremum of the smooth signal z (i) of leakage field is obtained；6th, the maximum of points of the smooth signal z (i) of leakage field and the position of minimum point are determined；7th, the abnormal Local Extremum of interference is rejected；8th, Silver Joint of Wirerope Conveyor exponent number is recognized.The present invention can differentiate the exponent number of Silver Joint of Wirerope Conveyor by effective maximum point of vulcanized joint magnetic leakage signal or the quantity of effective minimum point, quantitative detection, which is twitched, for colliery Silver Joint of Wirerope Conveyor establishes good basis, easy to operate, realization is conveniently and using effect is good, prevention colliery steel cable core conveying belt joint fracture accident occurs significant.
Description
Technical field
The invention belongs to vulcanized joint structure recognition technical field, and in particular to a kind of colliery steel cable core conveying belt vulcanization
Joint design recognition methods.
Background technology
In coal production, colliery Steel cord belt conveyer is important transporting equipment.Long range Steel cord is defeated
Sending band is formed by multistage Silver Joint of Wirerope Conveyor overlap joint, with China's coal-mine long range, large conveying quantity, high belt speed
Ribbon conveyer development, joint breaking accident happens occasionally, and steel cable core conveying belt fracture consequence is very serious, not only can
Huge economic loss is caused to colliery, and can be caused casualties, significant damage is caused to coal production and safety.Steel
Cord core conveying belt joint is steel wire in minimum, the weakest link of tensile strength, existing coal enterprise in whole piece conveyer belt
Wire rope core conveyor belt breakage accident more than 85% occurs in joint.Coal enterprises in China is numerous, steel cable core conveying belt operation peace
Full problem is serious.Joint twitch quantitative detection be prevent colliery steel cable core conveying belt joint fracture accident to occur have efficacious prescriptions
Method, will realize that joint twitches quantitative detection, it is necessary first to recognize vulcanized joint structure inside steel cable core conveying belt, coal industry
Standard MT668-2008《Steel wire rope》In conveyer belt vulcanized joint have 4 kinds of structures, accurately identify
Vulcanized joint internal structure, quantitative detection and effectively prevention colliery Steel cord are twitched to colliery steel cable core conveying belt joint
Conveyor belt breakage accident has great importance.
The content of the invention
In view of the above-mentioned deficiencies in the prior art, the technical problem to be solved by the present invention is that providing a kind of colliery steel wire
Wire rope core conveyer belt vulcanized joint structural recognition method, can pass through effective maximum point of vulcanized joint magnetic leakage signal or effectively minimum
The quantity of value point differentiates the exponent number of Silver Joint of Wirerope Conveyor, is that colliery Silver Joint of Wirerope Conveyor twitch is fixed
Good basis is established in amount detection, and easy to operate, realization is conveniently and using effect is good, to prevention colliery steel cable core conveying belt joint
Fracture accident generation is significant, is easy to promote the use of.
In order to solve the above technical problems, the technical solution adopted by the present invention is：A kind of colliery steel cable core conveying belt vulcanization
Joint design recognition methods, it is characterised in that this method comprises the following steps：
Step 1: obtaining vulcanized joint magnetic leakage signal：First, using weak magnetic loading device to identified Steel cord conveying
Band vulcanized joint carries out magnetic loading；Then, the sulphur perpendicular to plane where steel cable core conveying belt is obtained using weak magnetic sensor
Change joint magnetic leakage signal, and the vulcanized joint magnetic leakage signal gathered is synchronously inputted to data processor, and be stored in upper
In machine memory；
The vulcanized joint magnetic leakage signal perpendicular to plane where steel cable core conveying belt that weak magnetic sensor is gathered is original
Beginning leakage field sample sequence X (k), wherein k=1,2,3 ... n, n are the sampled point quantity in original leakage field sample sequence X (k)；
Step 2: vulcanized joint magnetic leakage signal noise reduction：Wavelet transformation and LMS sef-adapting filter knots are utilized by host computer
The method of conjunction carries out noise reduction process to the original leakage field sample sequence X (k) of host computer memory storage, obtains the sampling of noise reduction leakage field
Sequence X ' (k), and by noise reduction leakage field sample sequence X'(k) be stored in successively in host computer memory；
Step 3: choosing noise reduction leakage field sampling ordered sequence, process is as follows：
Step 301, noise reduction leakage field sample sequence X'(k) normalized：First, host computer is searched by host computer to deposit
The noise reduction magnetic leakage signal maximum X' preserved in reservoirmax(k)；Then, according to formulaCalculate normalization
Noise reduction leakage field sample sequence X " (k)；
Step 302, acquisition noise reduction leakage field sampling ordered sequence：First, host computer sets amplitude interval [- Th, Th], and Th is
Amplitude thresholds and Th satisfactions：0.15<Th<0.25；Then, according to formulaCalculate intersecting sampling point set [k1,
k2,...,ka], wherein, f1For normalization noise reduction leakage field sample sequence X " (k), f2For using k be variable and functional value as the of-Th
One constant discrete function, f3For using k be variable and functional value as Th second constant discrete function, during a is intersecting sampling point set
The quantity of sampled point, k1<k2<...<ka<n；Finally, by intersecting sampled point k1With intersecting sampled point kaResolve the sampling of noise reduction leakage field
Ordered sequence y (i), wherein, y (i)=X " (k), the sampled point and i that i is noise reduction leakage field sampling ordered sequence y (i) is met：k1≤
i≤ka；
Step 4: signal smoothing is handled：By host computer using the method for moving average to noise reduction leakage field sampling ordered sequence y
(i) it is smoothed, obtains the smooth signal z (i) of leakage field；
Step 5: obtaining the Local Extremum of the smooth signal z (i) of leakage field, process is as follows：
Step 501, according to formulaCalculate the derivative d (z of the smooth signal z (i) of leakage field
(i))；
Step 502, according to formulaCalculate leading for the smooth signal z (i) of leakage field
Several sign function sgn (d (z (i)))；
Step 503, the Local Extremum for obtaining the smooth signal z (i) of leakage field：Using formulaSign function sgn (d (z (i))) derivative is calculated, works as d
During (sgn (d (z (i))))=2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the office of the smooth signal z (i) of leakage field
Portion minimum z (i)min, all local minizing points of the smooth signal z (i) of leakage field are stored entirely in host computer memory；
As d (sgn (d (z (i))))=- 2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the smooth signal z (i) of leakage field
Local maximum z (i)max, all Local modulus maximas of the smooth signal z (i) of leakage field are stored entirely in host computer memory
In；
Step 6: determining the maximum of points of the smooth signal z (i) of leakage field and the position of minimum point：Transferred by host computer
All local minizing points stored in host computer memory, the minimum value of the smooth signal z (i) of leakage field is determined using bubbling method
Point, the corresponding sampled point of minimum point of the smooth signal z (i) of leakage field is kmin；Host computer memory is transferred by host computer
All Local modulus maximas of middle storage, the maximum of points of the smooth signal z (i) of leakage field is determined using bubbling method, and the leakage field is put down
The corresponding sampled point of maximum of points of sliding signal z (i) is kmax, wherein, k1<kmin<ka, k1<kmax<ka；
Step 7: rejecting the Local Extremum of interference：Host computer retains the minimum point and most of the smooth signal z (i) of leakage field
Local Extremum between big value point, rejects the local extremum outside the minimum point and maximum of points of the smooth signal z (i) of leakage field
Point；
Step 8: Silver Joint of Wirerope Conveyor exponent number is recognized：First, to retaining the smooth signal of leakage field in step 7
Local Extremum between z (i) minimum point and maximum of points is classified, and counts the smooth signal z (i) of leakage field most respectively
The quantity and the quantity of Local modulus maxima of local minizing point between small value point and maximum of points, wherein, leakage field is smoothly believed
The quantity of local minizing point between number z (i) minimum point and maximum of points and the quantity of Local modulus maxima are equal, and
It is m；Then, according to formula M=m+1, the exponent number M of Silver Joint of Wirerope Conveyor is recognized.
A kind of above-mentioned colliery Silver Joint of Wirerope Conveyor structural recognition method, it is characterised in that：In step 4
Noise reduction leakage field sampling ordered sequence y (i) is smoothed using the method for moving average, process is as follows：
Step 401, the smooth moving window of selection：Selected in the range of noise reduction leakage field sampling ordered sequence y (i) variable i
Continuous N number of groups of samples is taken into smooth moving window, wherein, N is odd number and N≤ka-k1+1；
Step 402, according to formulaObtain the smooth signal z of leakage field
(i), j be smooth moving window in N number of sampled point sampled point sequence number.
A kind of above-mentioned colliery Silver Joint of Wirerope Conveyor structural recognition method, it is characterised in that：It is described original
Sampled point quantity n in leakage field sample sequence X (k)>500.
A kind of above-mentioned colliery Silver Joint of Wirerope Conveyor structural recognition method, it is characterised in that：It is described smooth
Sampled point 97≤N≤199 in moving window.
The present invention has advantages below compared with prior art：
1st, the present invention carries out noise reduction to the vulcanized joint magnetic leakage signal of acquisition and obtains the higher noise reduction leakage field sampling of signal to noise ratio
Sequence, deletes the sample sequence that noise reduction leakage field sample sequence two ends amplitude is less than amplitude thresholds, reduces the processing of later stage signal smoothing
Sampled point, improve signal smoothing treatment effeciency, and then obtain the effective smooth signal sequence of leakage field, be easy to promote the use of.
2nd, the magnetic leakage signal local extremum point calculating method that the present invention is used efficiently, accurately, is smoothly believed by obtaining leakage field
Number whole Local Extremums, find the maximum of points of the smooth signal of leakage field and the position of minimum point, the smooth signal of leakage field
Maximum of points and the two ends that minimum point is the smooth signal extreme point of leakage field, reject the minimum point and maximum of the smooth signal of leakage field
Interference Local Extremum outside value point, retains effective local pole between the minimum point and maximum of points of the smooth signal of leakage field
It is worth point, search is simple, and using effect is good.
3rd, the inventive method step is simple, passes through the effective maximum point or effective minimum point of vulcanized joint magnetic leakage signal
Quantity differentiate Silver Joint of Wirerope Conveyor exponent number, identification accurately and reliably, be vulcanized joint twitch the amount of accurately identifying
Have laid a good foundation, be easy to promote the use of.
In summary, the present invention can be by the effective maximum point or the number of effective minimum point of vulcanized joint magnetic leakage signal
Amount differentiates the exponent number of Silver Joint of Wirerope Conveyor, is that Silver Joint of Wirerope Conveyor twitch quantitative detection in colliery is established
Good basis is determined, easy to operate, realization is conveniently and using effect is good, to prevention colliery steel cable core conveying belt joint fracture accident
Generation is significant, is easy to promote the use of.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
The schematic block circuit diagram for the vulcanized joint structure recognition equipment that Fig. 1 uses for the present invention.
Fig. 2 is the method flow block diagram of vulcanized joint structural recognition method of the present invention.
Fig. 3 is the waveform of the original leakage field sample sequence of steel cable core conveying belt second order vulcanized joint Noise of the present invention
Figure.
Fig. 4 is the oscillogram of steel cable core conveying belt second order vulcanized joint noise reduction leakage field sample sequence of the present invention.
Fig. 5 is the normalized signal of steel cable core conveying belt second order vulcanized joint noise reduction leakage field of the present invention sampling ordered sequence
Oscillogram.
Fig. 6 is the partial waveform enlarged diagram at A in Fig. 5.
Fig. 7 is steel cable core conveying belt second order vulcanized joint leakage field smooth signal waveform figure of the present invention.
Fig. 8 is the partial waveform enlarged diagram at B in Fig. 7.
Description of reference numerals:
1-weak magnetic sensor；2-data processor；3-host computer memory；
4-host computer.
Embodiment
As depicted in figs. 1 and 2, a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method of the invention, bag
Include following steps：
Step 1: obtaining vulcanized joint magnetic leakage signal：First, using weak magnetic loading device to identified Steel cord conveying
Band vulcanized joint carries out magnetic loading；Then, the sulphur perpendicular to plane where steel cable core conveying belt is obtained using weak magnetic sensor 1
Change joint magnetic leakage signal, and the vulcanized joint magnetic leakage signal gathered is synchronously inputted to data processor 2, and be stored in upper
In machine memory 3；
The vulcanized joint magnetic leakage signal perpendicular to plane where steel cable core conveying belt that weak magnetic sensor 1 is gathered is original
Beginning leakage field sample sequence X (k), wherein k=1,2,3 ... n, n are the sampled point quantity in original leakage field sample sequence X (k)；
In the present embodiment, the sampled point quantity n in the original leakage field sample sequence X (k)>500.
It should be noted that when carrying out actual loaded to identified Silver Joint of Wirerope Conveyor, use preferably
TCK-GMS type weak magnetic loading devices, it would however also be possible to employ other types of weak magnetic loading device；Weak magnetic sensor 1 senses for weak magnetic
Device, and specially TCK weak magnetic sensors.The detection of TCK weak magnetics is to be based on " space magnetic field Vector modulation " principle, using width, non-
Contact weak magnetic energy gesture induction installation, weak distribution difference information magnetic energy potential on the ferrimagnet that magnetic is carried has been applied by extracting,
Complete positioning, qualitatively and quantitatively recognize the detection of steel wire rope internal structure external structure.The TCK weak magnetic sensors used is high sensitivity
Sensor, high sensor is acquired according to the sample frequency of setting, and sample frequency is 1KHz~8KHz.This implementation
In example, the sample frequency of weak magnetic sensor 1 is 4KHz, when actual use, can according to specific needs, to weak magnetic sensor 1
Sample frequency is adjusted accordingly in 1KHz~8KHz, obtains the original leakage field sample sequence X (k) of vulcanized joint.
Step 2: vulcanized joint magnetic leakage signal noise reduction：Wavelet transformation and LMS sef-adapting filters are utilized by host computer 4
With reference to the original leakage field sample sequence X (k) that is stored to host computer memory 3 of method carry out noise reduction process, obtain noise reduction leakage field
Sample sequence X'(k), and by noise reduction leakage field sample sequence X'(k) be stored in successively in host computer memory 3；
It should be noted that the original leakage field sample sequence X (k) of the vulcanized joint obtained is by colliery operating mode and belt
The very noisy and electromagnetic interference of the equipment operation of conveyer, these noise bands are wide and statistical property changes with environment, electromagnetism inspection
The signal of survey is easily flooded by noise, therefore need to carry out noise reduction, use preferably to the original leakage field sample sequence X (k) of collection
Wavelet transformation is combined carry out noise reduction process with variable step- size LMS adaptive-filtering, effectively improves filter effect and tracking velocity, enters
And obtain the noise reduction leakage field sample sequence X'(k of vulcanized joint).
Step 3: choosing noise reduction leakage field sampling ordered sequence, process is as follows：
Step 301, noise reduction leakage field sample sequence X'(k) normalized：First, host computer is searched by host computer 4
The noise reduction magnetic leakage signal maximum X' preserved in memory 3max(k)；Then, according to formulaCalculate normalizing
Change noise reduction leakage field sample sequence X " (k)；
It should be noted that noise reduction leakage field sample sequence X'(k) normalized be effective for the ease of subsequent sampling
Amplitude thresholds are chosen in sequential extraction procedures.
Step 302, acquisition noise reduction leakage field sampling ordered sequence：First, host computer 4 sets amplitude interval [- Th, Th], Th
For amplitude thresholds and Th satisfactions：0.15<Th<0.25；Then, according to formulaCalculate intersecting sampling point set [k1,
k2,...,ka], wherein, f1For normalization noise reduction leakage field sample sequence X " (k), f2For using k be variable and functional value as the of-Th
One constant discrete function, f3For using k be variable and functional value as Th second constant discrete function, during a is intersecting sampling point set
The quantity of sampled point, k1<k2<...<ka<n；Finally, by intersecting sampled point k1With intersecting sampled point kaResolve the sampling of noise reduction leakage field
Ordered sequence y (i), wherein, y (i)=X " (k), the sampled point and i that i is noise reduction leakage field sampling ordered sequence y (i) is met：k1≤
i≤ka；
It should be noted that the sampled point quantity n in original leakage field sample sequence X (k)>500, the data volume of processing compared with
Greatly, by setting amplitude thresholds Th and Th satisfactions：0.15<Th<0.25 purpose is for the unstable sampling of starting that will sample
Oversampled sampled point before point and sampling terminate is filtered out, interception noise reduction leakage field sampling ordered sequence, according to formulaThe simultaneous for entering line function is resolved, and obtains intersecting sampling point set [k1,k2,...,ka,], it is necessary to explanation, k1<
k2<...<ka<N, therefore, intersects sampled point k1For first constant discrete function f2Or second constant discrete function f3Dropped with normalization
Make an uproar leakage field sample sequence X " (k) first resolving value, intersect sampled point kaFor first constant discrete function f2Or second constant from
Dissipate function f3With normalization noise reduction leakage field sample sequence X " (k) last resolving value, retain intersecting sampled point k1Adopted with intersecting
Sampling point kaBetween this section normalization noise reduction leakage field sample sequence X " (k), obtain noise reduction leakage field sampling ordered sequence y (i), letter
Change and calculate, improve vulcanized joint structure recognition efficiency, while reducing the workload of follow-up signal smoothing processing.
Step 4: signal smoothing is handled：By host computer 4 using the method for moving average to noise reduction leakage field sampling ordered sequence y
(i) it is smoothed, obtains the smooth signal z (i) of leakage field；
In the present embodiment, noise reduction leakage field sampling ordered sequence y (i) is smoothly located using the method for moving average in step 4
Reason, process is as follows：
Step 401, the smooth moving window of selection：Selected in the range of noise reduction leakage field sampling ordered sequence y (i) variable i
Continuous N number of groups of samples is taken into smooth moving window, wherein, N is odd number and N≤ka-k1+1；
Step 402, according to formulaObtain the smooth signal z of leakage field
(i), j be smooth moving window in N number of sampled point sampled point sequence number.
In the present embodiment, sampled point 97≤N≤199 in the smooth moving window.
It should be noted that signal smoothing processing purpose be in order to filter out noise reduction leakage field sampling ordered sequence y (i) waveform
The burr of generation, obtains the smooth signal z (i) of smooth leakage field, and then eliminate the acquisition of subsequent interference Local Extremum.
Step 5: obtaining the Local Extremum of the smooth signal z (i) of leakage field, process is as follows：
Step 501, according to formulaCalculate the derivative d (z of the smooth signal z (i) of leakage field
(i))；
Step 502, according to formulaCalculate leading for the smooth signal z (i) of leakage field
Several sign function sgn (d (z (i)))；
Step 503, the Local Extremum for obtaining the smooth signal z (i) of leakage field：Using formulaSign function sgn (d (z (i))) derivative is calculated, works as d
During (sgn (d (z (i))))=2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the office of the smooth signal z (i) of leakage field
Portion minimum z (i)min, all local minizing points of the smooth signal z (i) of leakage field are stored entirely in host computer memory 3；
As d (sgn (d (z (i))))=- 2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the smooth signal z (i) of leakage field
Local maximum z (i)max, all Local modulus maximas of the smooth signal z (i) of leakage field are stored entirely in host computer memory
In 3；
It should be noted that the purpose for obtaining the Local Extremum of the smooth signal z (i) of leakage field is to obtain the rank of vulcanized joint
Number, according to coal industry standard MT668-2008《Steel wire rope》In conveyer belt vulcanized joint have 4
Kind structure, respectively single order vulcanized joint, second order vulcanized joint, three rank vulcanized joints and quadravalence vulcanized joint, wherein every kind of sulphur
The Steel cord for changing joint be all it is paired occur, be not in individual wire wire rope core, therefore, the smooth signal z (i) of leakage field it is very big
Value is equal with minimum quantity, and the maximum value or minimum value number of the smooth signal z (i) of leakage field is vulcanized joint exponent number, because
This, double derivation is carried out for discrete function, obtains the Local Extremum of the smooth signal z (i) of leakage field.
Step 6: determining the maximum of points of the smooth signal z (i) of leakage field and the position of minimum point：Transferred by host computer 4
All local minizing points stored in host computer memory 3, the minimum value of the smooth signal z (i) of leakage field is determined using bubbling method
Point, the corresponding sampled point of minimum point of the smooth signal z (i) of leakage field is kmin；Host computer is transferred by host computer 4 to store
All Local modulus maximas stored in device 3, the maximum of points of the smooth signal z (i) of leakage field, the leakage field are determined using bubbling method
Smooth signal z (i) the corresponding sampled point of maximum of points is kmax, wherein, k1<kmin<ka, k1<kmax<ka；
It should be noted that transferring all Local modulus maximas stored in host computer memory 3 and all local minimums
It is worth point, meanwhile, all local minizing points are stored in the first array, all Local modulus maximas are stored in the second array
In；When determining the minimum point of the smooth signal z (i) of leakage field using bubbling method, the first sampled point amplitude in the first array of setting
It is compared for second sampled point amplitude in the minimum point of the smooth signal z (i) of leakage field, with the first array, if the first number
Second sampled point amplitude in group is more than the first sampled point amplitude in the first array, then the first sampled point in the first array
Amplitude is still minimum value, is then compared with the minimum value in the first array with sampled point follow-up in the first array；If
Second sampled point amplitude in first array is less than the first sampled point amplitude in the first array, then second in the first array
Individual sampled point is minimum value, is then carried out with the minimum value and sampled point follow-up in the first array of the new acquisition in the first array
Compare, by that analogy, determine the minimum point of the smooth signal z (i) of leakage field, the minimum point of the smooth signal z (i) of leakage field is corresponding
Sampled point is kmin, sampled point kminBetween intersecting sampled point k1With intersecting sampled point kaBetween；
When determining the maximum of points of the smooth signal z (i) of leakage field using bubbling method, the first sampled point in the second array of setting
Amplitude is the maximum of points of the smooth signal z (i) of leakage field, is compared with second sampled point amplitude in the second array, if the
Second sampled point amplitude in two arrays is more than the first sampled point amplitude in the second array, then second in the second array
Sampled point is maximum, is then compared with the maximum and sampled point follow-up in the second array of the new acquisition in the second array
Compared with；If second sampled point amplitude in the second array is less than in the first sampled point amplitude in the second array, the second array
First sampled point amplitude be still maximum, then with sampled point follow-up in the maximum in the second array and the second array
It is compared, by that analogy, determines the maximum of points of the smooth signal z (i) of leakage field, the maximum of points pair of the smooth signal z (i) of leakage field
The sampled point answered is kmax, sampled point kmaxBetween intersecting sampled point k1With intersecting sampled point kaBetween.
Step 7: rejecting the Local Extremum of interference：Host computer 4 retains the minimum point and most of the smooth signal z (i) of leakage field
Local Extremum between big value point, rejects the local extremum outside the minimum point and maximum of points of the smooth signal z (i) of leakage field
Point；
It should be noted that due to the multistage vulcanized joint architectural characteristic of steel cable core conveying belt：First rank steel wire rope is most long,
Remaining rank rope capacity is reduced successively, therefore, show that maximum and minimum value are appeared according to stray field Vector modulation principle
The two ends of waveform.Therefore, the Local Extremum between the maximum of points and minimum point of vulcanized joint is effective local extremum
Local Extremum outside point, the maximum of points and minimum point of vulcanized joint is abnormal Local Extremum, need to be smooth to leakage field
Local Extremum outside signal z (i) minimum point and maximum of points is rejected, it is ensured that steel cable core conveying belt vulcanization connects
The accuracy rate of header structure identification.
Step 8: Silver Joint of Wirerope Conveyor exponent number is recognized：First, to retaining the smooth signal of leakage field in step 7
Local Extremum between z (i) minimum point and maximum of points is classified, and counts the smooth signal z (i) of leakage field most respectively
The quantity and the quantity of Local modulus maxima of local minizing point between small value point and maximum of points, wherein, leakage field is smoothly believed
The quantity of local minizing point between number z (i) minimum point and maximum of points and the quantity of Local modulus maxima are equal, and
It is m；Then, according to formula M=m+1, the exponent number M of Silver Joint of Wirerope Conveyor is recognized.
It should be noted that the maximum value or minimum value number of the smooth signal z (i) of leakage field is vulcanized joint exponent number, leakage
The minimum point and maximum of points that magnetic recording level slides signal z (i) are also the extreme point of the smooth signal z (i) of leakage field in itself, therefore, are obtained
The smooth signal z (i) of leakage field minimum point and maximum of points between maximum point or minimum point quantity m, pass through M=
M+1, determines the exponent number M of Silver Joint of Wirerope Conveyor.
The present invention is in use, as shown in figure 3, gather the original leakage of vulcanized joint magnetic leakage signal using TCK weak magnetic sensors
Magnetic sample sequence X (k), 10000 sampled points of sampling.Original leakage field sample sequence X (k) interference of TCK weak magnetic sensors collection
Information is too many, it is impossible to is directly used in and asks for extreme point, noise reduction need to be carried out to original leakage field sample sequence X (k), as shown in figure 4, steel
The original leakage field sample sequence X (k) of cord core conveyer belt vulcanized joint obtains good noise reduction, obtains the sampling of noise reduction leakage field
Sequence X ' (k).But noise reduction leakage field sample sequence X'(k) not smooth enough, and there are many Null Spots, therefore need to be after noise reduction
Sample sequence X'(k) middle interception joint leakage field ordered sequence.In order to eliminate the influence that signal amplitude is obtained to ordered sequence, need pair
Leakage field sampled signal is normalized, and is as a result X " (k), and sets amplitude thresholds Th, the choosings of amplitude thresholds Th preferably
0.2 is taken, retains intersecting sampled point k1With intersecting sampled point kaBetween this section normalization noise reduction leakage field sample sequence X " (k), obtain
Noise reduction leakage field sampling ordered sequence y (i) is taken, totally 3214 effective sampling points, as shown in Figure 5.
As shown in fig. 6, normalization noise reduction leakage field sampling ordered sequence y (i) extreme point interference is more, cause maximum and most
Maximum value or minimum value point between small value is 46, local extremum None- identified joint exponent number.Therefore, moved with 99 points
The average ordered sequence y (i) that sampled to noise reduction leakage field is smoothed, the leakage field after smoothing processing smooth signal z (i) such as Fig. 7
Shown, Fig. 8 is smooth signal z (i) the partial waveform enlarged drawing of leakage field, shows unusual light.Continuous two are carried out for discrete function
Secondary derivation, smooth to leakage field signal z (i) carries out extreme value calculating, and it is the to obtain the maximum value position of the smooth signal z (i) of leakage field
7416 sampled points, it is the 5774th sampled point, the smooth signal z of leakage field to obtain the minimum value position of the smooth signal z (i) of leakage field
(i) one minimum of presence and a maximum between minimum value and maximum, and the minimum position is the 6775th
Sampled point, the maximum position is the 6436th sampled point, show that the vulcanized joint connects for second order vulcanization according to extreme point number
Head, with actually fitting like a glove, vulcanized joint internal structure recognizes that accurately and reliably using effect is good.
It is described above, only it is presently preferred embodiments of the present invention, not the present invention is imposed any restrictions, it is every according to the present invention
Any simple modification, change and equivalent structure change that technical spirit is made to above example, still fall within skill of the present invention
In the protection domain of art scheme.
Claims (4)
1. a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method, it is characterised in that this method includes following step
Suddenly：
Step 1: obtaining vulcanized joint magnetic leakage signal：First, using weak magnetic loading device to being identified steel cable core conveying belt sulphur
Change joint and carry out magnetic loading；Then, the vulcanization perpendicular to plane where steel cable core conveying belt is obtained using weak magnetic sensor (1)
Joint magnetic leakage signal, and the vulcanized joint magnetic leakage signal gathered is synchronously inputted to data processor (2), and be stored in upper
In machine memory (3)；
The vulcanized joint magnetic leakage signal perpendicular to plane where steel cable core conveying belt that weak magnetic sensor (1) is gathered is original
Leakage field sample sequence X (k), wherein k=1,2,3 ... n, n are the sampled point quantity in original leakage field sample sequence X (k)；
Step 2: vulcanized joint magnetic leakage signal noise reduction：Wavelet transformation and LMS sef-adapting filter knots are utilized by host computer (4)
The method of conjunction carries out noise reduction process to the original leakage field sample sequence X (k) of storage in host computer memory (3), obtains noise reduction leakage
Magnetic sample sequence X'(k), and by noise reduction leakage field sample sequence X'(k) be stored in successively in host computer memory (3)；
Step 3: choosing noise reduction leakage field sampling ordered sequence, process is as follows：
Step 301, noise reduction leakage field sample sequence X'(k) normalized：First, host computer is searched by host computer (4) to deposit
The noise reduction magnetic leakage signal maximum X' preserved in reservoir (3)max(k)；Then, according to formulaCalculate normalizing
Change noise reduction leakage field sample sequence X " (k)；
Step 302, acquisition noise reduction leakage field sampling ordered sequence：First, host computer (4) sets amplitude interval [- Th, Th], and Th is
Amplitude thresholds and Th satisfactions：0.15<Th<0.25；Then, according to formulaCalculate intersecting sampling point set [k1,
k2,...,ka], wherein, f1For normalization noise reduction leakage field sample sequence X " (k), f2For using k be variable and functional value as the of-Th
One constant discrete function, f3For using k be variable and functional value as Th second constant discrete function, during a is intersecting sampling point set
The quantity of sampled point, k1<k2<...<ka<n；Finally, by intersecting sampled point k1With intersecting sampled point kaResolve the sampling of noise reduction leakage field
Ordered sequence y (i), wherein, y (i)=X " (k), the sampled point and i that i is noise reduction leakage field sampling ordered sequence y (i) is met：k1≤
i≤ka；
Step 4: signal smoothing is handled：By host computer (4) using the method for moving average to noise reduction leakage field sampling ordered sequence y (i)
It is smoothed, obtains the smooth signal z (i) of leakage field；
Step 5: obtaining the Local Extremum of the smooth signal z (i) of leakage field, process is as follows：
Step 501, according to formulaCalculate the derivative d (z (i)) of the smooth signal z (i) of leakage field；
Step 502, according to formulaCalculate the derivative of the smooth signal z (i) of leakage field
Sign function sgn (d (z (i)))；
Step 503, the Local Extremum for obtaining the smooth signal z (i) of leakage field：Using formulaSign function sgn (d (z (i))) derivative is calculated, works as d
During (sgn (d (z (i))))=2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the office of the smooth signal z (i) of leakage field
Portion minimum z (i)min, all local minizing points of the smooth signal z (i) of leakage field are stored entirely in host computer memory (3)
In；As d (sgn (d (z (i))))=- 2, the corresponding amplitudes of sampled point i of the smooth signal z (i) of leakage field are the smooth signal z of leakage field
(i) local maximum z (i)max, all Local modulus maximas of the smooth signal z (i) of leakage field are stored entirely in host computer and deposited
In reservoir (3)；
Step 6: determining the maximum of points of the smooth signal z (i) of leakage field and the position of minimum point：Transferred by host computer (4)
All local minizing points of storage, the minimum value of the smooth signal z (i) of leakage field is determined using bubbling method in position machine memory (3)
Point, the corresponding sampled point of minimum point of the smooth signal z (i) of leakage field is kmin；Host computer is transferred by host computer (4) to deposit
All Local modulus maximas of storage, the maximum of points of the smooth signal z (i) of leakage field is determined using bubbling method in reservoir (3), described
The corresponding sampled point of maximum of points of the smooth signal z (i) of leakage field is kmax, wherein, k1<kmin<ka, k1<kmax<ka；
Step 7: rejecting the Local Extremum of interference：Host computer (4) retains the minimum point and maximum of the smooth signal z (i) of leakage field
Local Extremum between value point, rejects the local extremum outside the minimum point and maximum of points of the smooth signal z (i) of leakage field
Point；
Step 8: Silver Joint of Wirerope Conveyor exponent number is recognized：First, to retaining the smooth signal z (i) of leakage field in step 7
Minimum point and maximum of points between Local Extremum classified, respectively count the smooth signal z (i) of leakage field minimum value
The quantity and the quantity of Local modulus maxima of local minizing point between point and maximum of points, wherein, the smooth signal z of leakage field
(i) quantity of the local minizing point between minimum point and maximum of points and the quantity of Local modulus maxima are equal, and
For m；Then, according to formula M=m+1, the exponent number M of Silver Joint of Wirerope Conveyor is recognized.
2. according to a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method described in claim 1, its feature exists
In：Noise reduction leakage field sampling ordered sequence y (i) is smoothed using the method for moving average in step 4, process is as follows：
Step 401, the smooth moving window of selection：The company of selection in the range of noise reduction leakage field sampling ordered sequence y (i) variable i
Continuous N number of groups of samples into smooth moving window, wherein, N be odd number and N≤ka-k1+1；
Step 402, according to formulaThe smooth signal z (i) of leakage field is obtained, j is
The sampled point sequence number of N number of sampled point in smooth moving window.
3. according to a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method described in claim 1, its feature exists
In：Sampled point quantity n in the original leakage field sample sequence X (k)>500.
4. according to a kind of colliery Silver Joint of Wirerope Conveyor structural recognition method described in claim 1, its feature exists
In：Sampled point 97≤N≤199 in the smooth moving window.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710320049.9A CN106990369B (en) | 2017-05-09 | 2017-05-09 | A kind of coal mine Silver Joint of Wirerope Conveyor structural recognition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710320049.9A CN106990369B (en) | 2017-05-09 | 2017-05-09 | A kind of coal mine Silver Joint of Wirerope Conveyor structural recognition method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106990369A true CN106990369A (en) | 2017-07-28 |
| CN106990369B CN106990369B (en) | 2019-03-29 |
Family
ID=59417684
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710320049.9A Active CN106990369B (en) | 2017-05-09 | 2017-05-09 | A kind of coal mine Silver Joint of Wirerope Conveyor structural recognition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106990369B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253115A (en) * | 2011-04-25 | 2011-11-23 | 许志浩 | Steel cord belt flaw detection system and detection method therewith |
| CN103144937A (en) * | 2013-03-06 | 2013-06-12 | 西安科技大学 | System and method for intelligently monitoring belt-type conveyer for coal mine steel wire rope core |
| CN203512672U (en) * | 2013-10-17 | 2014-04-02 | 赵龙 | Belt conveyor vulcanized joint length online monitoring and early warning device |
| CN203587528U (en) * | 2013-12-04 | 2014-05-07 | 北京中矿晟通科技有限公司 | X-ray on-line detecting device for steel rope core conveying belt |
| CN104616209A (en) * | 2015-02-05 | 2015-05-13 | 云南电网有限责任公司大理供电局 | Online monitoring based information collecting evaluation method for power cable connector |
-
2017
- 2017-05-09 CN CN201710320049.9A patent/CN106990369B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253115A (en) * | 2011-04-25 | 2011-11-23 | 许志浩 | Steel cord belt flaw detection system and detection method therewith |
| CN103144937A (en) * | 2013-03-06 | 2013-06-12 | 西安科技大学 | System and method for intelligently monitoring belt-type conveyer for coal mine steel wire rope core |
| CN203512672U (en) * | 2013-10-17 | 2014-04-02 | 赵龙 | Belt conveyor vulcanized joint length online monitoring and early warning device |
| CN203587528U (en) * | 2013-12-04 | 2014-05-07 | 北京中矿晟通科技有限公司 | X-ray on-line detecting device for steel rope core conveying belt |
| CN104616209A (en) * | 2015-02-05 | 2015-05-13 | 云南电网有限责任公司大理供电局 | Online monitoring based information collecting evaluation method for power cable connector |
Non-Patent Citations (2)
| Title |
|---|
| 毛清华 等: "煤矿钢丝绳输送带接头在线智能识别系统", 《矿山机械》 * |
| 贾爱学: "钢丝绳芯输送带弱磁技术检测应用", 《山东煤炭科技》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106990369B (en) | 2019-03-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102841131B (en) | Intelligent steel cord conveyer belt defect identification method and intelligent steel cord conveyer belt defect identification system | |
| CN107176432A (en) | A kind of anchor pole foreign matter and belt tearing detecting system based on machine vision | |
| CN103279765B (en) | Steel wire rope surface damage detection method based on images match | |
| CN104729667A (en) | Method for recognizing disturbance type in a distributed optical fiber vibration sensing system | |
| CN104237768B (en) | Integrated circuit hardware Trojan horse detection method and system | |
| CN102680414A (en) | Automatic grading device for red globe grapes based on machine vision and method thereof | |
| CN106355580A (en) | Detection method and device of tilting pole tower | |
| CN105785437B (en) | A kind of method and device of the automatic discrimination in Unusual Seismic road | |
| CN111768620A (en) | Road anomaly detection method based on window division and deformation clustering | |
| CN103488800A (en) | SVM (Support Vector Machine)-based power consumption abnormality detection method | |
| CN104613869A (en) | Method and system for detecting elliptical hole group based on maximum inscribed circle | |
| CN110764152B (en) | Device and method for rapid detection and identification of unmanned aerial vehicle | |
| AU2019100964A4 (en) | Automatic coal drawing control system and method based on rfid | |
| CN106406516A (en) | Local real-time movement trajectory characteristic extraction and identification method for smartphone | |
| CN106990369B (en) | A kind of coal mine Silver Joint of Wirerope Conveyor structural recognition method | |
| CN105069897A (en) | Bill thickness detecting device | |
| CN108344795A (en) | Oil-gas pipeline defect identification method, device and electronic equipment | |
| CN101782964A (en) | Weight loss feather extraction method based on acceleration transducer | |
| CN105930824A (en) | Technology of automatically recognizing complete grabbing of steel coil for unmanned crown block | |
| CN105631857A (en) | Method and device for detecting scratch on surface of optical element | |
| CN107179560A (en) | A kind of safety check apparatus and method | |
| CN107705414A (en) | A kind of recognition methods of bank note, device, terminal device and storage medium | |
| CN108919068B (en) | Intermittent defect signal identification method for power equipment | |
| CN206915258U (en) | A kind of buffer storage for Real-time Balancing multitask production line | |
| CN202404694U (en) | Adaptive disturbance signal identification module of distributing type optical fiber sensing application system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |