CN103500273A - Analysis method for corrosion rate abnormal changes of petrochemical equipment - Google Patents
Analysis method for corrosion rate abnormal changes of petrochemical equipment Download PDFInfo
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- CN103500273A CN103500273A CN201310440043.7A CN201310440043A CN103500273A CN 103500273 A CN103500273 A CN 103500273A CN 201310440043 A CN201310440043 A CN 201310440043A CN 103500273 A CN103500273 A CN 103500273A
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- 238000005260 corrosion Methods 0.000 title claims abstract description 99
- 230000007797 corrosion Effects 0.000 title claims abstract description 98
- 230000002159 abnormal effect Effects 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 title abstract description 13
- 230000002547 anomalous effect Effects 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 13
- 230000001932 seasonal effect Effects 0.000 claims description 7
- 238000013459 approach Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims 1
- 238000005070 sampling Methods 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 description 6
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 2
- 101100433727 Caenorhabditis elegans got-1.2 gene Proteins 0.000 description 2
- 230000002411 adverse Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000005530 etching Methods 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 description 1
- 239000005977 Ethylene Substances 0.000 description 1
- 239000003513 alkali Substances 0.000 description 1
- 229910021529 ammonia Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 239000010779 crude oil Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011033 desalting Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
- 150000004965 peroxy acids Chemical class 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 229910052717 sulfur Inorganic materials 0.000 description 1
- 239000011593 sulfur Substances 0.000 description 1
Abstract
The invention provides an analysis method for corrosion rate abnormal changes of petrochemical equipment to resolve the problem that in the prior art, the situation of corrosion of the petrochemical equipment cannot be actually reflected due to the fact that the instant corrosion rate is adopted; according to the analysis method, a corrosion rate time sequence curve is utilized to replace a traditional instant corrosion rate to carry out analysis. According to the analysis method for the corrosion rate abnormal changes of the petrochemical equipment, a real-time corrosion rate time sequence curve is compared with a standard corrosion rate time sequence curve, abnormal changes of the corrosion rate time sequence curve are timely found out, therefore the abnormal changes of the corrosion rate are determined, and guidance is provided for adopting anti-corrosion measures in time.
Description
Technical field
The invention belongs to petrochemical equipment safety assessment technical field, be specifically related to the corrosion rate Analysis On The Anomalous Changes by petrochemical equipment, the risk of assessment petrochemical equipment.
Background technology
According to statistics, the annual economic loss caused of corrosion accounts for greatly 8% of national GDP, and petrochemical industry is one of more outstanding industry of etching problem.Especially in recent years, the a large amount of import middle-eastern crudes of China, former oil quality is day by day deteriorated, be peracid, high-sulfur, high-moisture variation tendency, the etching problem of petrochemical equipment is on the rise, the unplanned property stopping production that not only corrosion failure causes, can cause hundreds of thousands loss even up to a million, but also may cause security incident, and long-term operation that can't assurance device, therefore the corrosion protection for petrochemical equipment just seems particularly important.
At present, the anticorrosive measure of industrial usually employing " de-three notes " (crude oil desalting and notes alkali, notes ammonia, notes corrosion inhibiter) is in order to alleviate and to control the corrosion condition of petrochemical equipment and pipeline, in order to make " de-three notes " reach optimum efficiency, the just necessary real-time corrosion situation of understanding equipment in time.Simultaneously, corrosion analysis is also the basis of equipment predicting residual useful life, equipment risk evaluation.At present, each large petroleum chemical enterprise has all carried out corrosion monitoring work successively, and adopts the method monitoring real-time corrosion speed such as corrosion probe on emphasis equipment.But, owing to affected by technological fluctuation, data acquisition environment etc., the fluctuation that often generation is larger of real-time corrosion speed (and in fact, corrosion rate in short time is metastable), therefore, limited the practicality of its application, this is also a bottleneck problem in current real-time corrosion speed Application of Monitoring System.Therefore, the present invention proposes the corrosion rate tracing analysis in a period of time is replaced to the instantaneous corrosion rate analysis, thereby weaken the adverse effect that moment corrosion rate fluctuation brings, and analyze the abnormal change of discovery corrosion rate in time by the corrosion rate curvilinear motion, for taking in time anticorrosive measure that guidance is provided, there is important practical value.
Summary of the invention
The present invention is directed to the available technology adopting instantaneous corrosion rate, can not reflect really the situation of the corrosion of petrochemical equipment, proposed to replace traditional instantaneous corrosion rate to be analyzed with the corrosion rate time-serial position.Landification equipment corrosion rate Analysis On The Anomalous Changes method of the present invention is compared by the corrosion rate time-serial position of real-time corrosion rate time sequence curve and standard, find in time the ANOMALOUS VARIATIONS of corrosion rate time-serial position, thereby determine the abnormal change of corrosion rate, for taking in time anticorrosive measure, provide guidance.
Technical thought of the present invention is: set up the standard corrosion rate time-serial position database under normal process conditions, and set up and take the rapid serial search mechanism that measuring point is index No. ID; Obtain current corrosion rate time-serial position, be analyzed with each standard time sequence curve, judge that whether the current time sequence curve is abnormal; At setting-up time, in the cycle, the time-serial position quantity of abnormal surpasses a default threshold value, carries out the prompting of corrosion rate ANOMALOUS VARIATIONS.
Concrete technical scheme of the present invention is described below:
(1) Criterion corrosion rate time-serial position database
Need to detect each emphasis measuring point (corrosion rate measurement point) to petrochemical equipment and carry out the real-time corrosion monitoring, get in a period of time under normal process conditions, the corrosion rate time-serial position that the time period T of take is the time interval, as standard corrosion rate time-serial position, deposit database in.Because the time-serial position under normal process conditions has diversified characteristics, therefore, need to deposit database in repeatedly not obtaining in the same time time-serial position, same measuring point has a lot of standard corrosion rate time-serial positions.Detect for accelerating seasonal effect in time series, set up the index about No. ID, measuring point.Database be take each measuring point as unit, carries out the data storage.
(2) abnormal corrosion rate time series detects
For improving accuracy of detection, adopt the dynamic time warping method to carry out seasonal effect in time series relatively.By the current time sequence curve, with the standard corrosion rate time-serial position of this measuring point in database, compare one by one, when dynamic time warping distance surpasses default threshold value, just think ANOMALOUS VARIATIONS has occurred.Adopt moving window to obtain measuring point, moving window is the time window of a slip, and window width is consistent with standard corrosion rate seasonal effect in time series time span, gets time period T.
(3) the corrosion rate ANOMALOUS VARIATIONS is judged
Within the time period of setting, the corrosion rate time-serial position quantity of abnormal surpasses default threshold value, carries out the prompting of corrosion rate ANOMALOUS VARIATIONS.The purpose that adopts the method is to reduce the wrong report that indivedual noise datas cause.
The invention has the beneficial effects as follows the corrosion rate tracing analysis in a period of time is replaced to the instantaneous corrosion rate analysis, thereby weaken the adverse effect that moment corrosion rate fluctuation brings, overcome the weakness of instantaneous corrosion rate analysis poor practicability; Adopt dynamic time warping distance to calculate two corrosion rate seasonal effect in time series distinctiveness ratios, improved the accuracy of Sequence Detection; Time-serial position quantity by abnormal in a period of time surpasses given threshold value, carries out the judgement of corrosion rate ANOMALOUS VARIATIONS, has improved corrosion rate and has changed the validity detected.
Embodiment
The present embodiment be take No. E110116JCL003(ID, certain enterprise's two high-pressure ethylene channel bend place measuring point) be the specific implementation process of example explanation patent of the present invention.
In this example, the time span of sequence curve is got 1 day, and time period T gets 2 hours, i.e. every measured value of getting a corrosion rate at 2 o'clock, and therefore, every time-serial position consists of 12 measured values.The seasonal effect in time series time span of the corrosion rate of Real-Time Monitoring is got 1 day equally, and time period T gets 2 hours.
By being arranged on the corrosion probe Real-time Obtaining corrosion rate at measuring point E110116JCL003 place.Under normal process conditions, the corrosion rate curve that repeatedly to obtain time span be 1 day, deposit the standard corrosion rate time-serial position of database as measuring point E110116JCL003 in, and set up the index about measuring point ID E110116JCL003.
The time slide window that the width of take is 1 day obtains the current corrosion rate time-serial position of measuring point E110116JCL003 Q={0.2,0.25,0.15,0.27,0.22,0.24,0.3,0.25,0.22,0.23,0.3 0.2}, compare one by one with each standard corrosion rate time-serial position of measuring point E110116JCL003 in database, adopt dynamic time warping distance as measure, calculate two seasonal effect in time series distinctiveness ratios.Wherein a standard sequence curve is C={0.23,0.2,0.27,0.23,0.26,0.22,0.26,0.25,0.21,0.20,0.25,0.3}, and the distinctiveness ratio computation process of Q and C is as follows:
1. d (i, j)=| q
i-c
j|, q wherein
ii measured value in expression Q is (as q
2=0.25), c
jj measured value in expression C is (as c
3=0.27);
2. r (i, j)=d (i, j)+min (r (i, j-1), r (i-1, j), r (i-1, j-1)), r (0,0)=0 wherein, r (1,0)=∞, r (0,1)=∞, the value of i and j is since 1.
3. the distinctiveness ratio of Q and C means d by crooked time gap
dTW(Q, C)=r (12,12).
As shown in table 1, according to the concrete numerical value of above-mentioned formula and Q and C, computation process is as listed as table 1.Above-mentioned calculating can realize fast by computer program, has at present the above-mentioned comparison program of standard implementation of crooked time gap.
This example calculates the distinctiveness ratio d of Q and C
dTW(Q, C)=0.34(is referring to table 1), ε, for the user allows variable quantity according to the actual maximum provided, gets here
ε=(0.23+0.2+0.27+0.23+0.26+0.22+0.26+0.25+0.21+0.20+0.25+0.3)*10%=0.288
Therefore, distinctiveness ratio d
dTW(Q, C)>ε, Q and C are dissimilar.
By relatively finding, in Q and database, any standard corrosion rate time series of measuring point E110116JCL003 is all dissimilar, therefore, thinks that current corrosion rate time series Q is abnormal.
In continuous 30 times are calculated, choose 30 current monitoring corrosion rate time-serial positions, the accounting of current corrosion rate time series abnormal surpasses 50%, therefore, judges that variation has occurred corrosion rate, carries out alarm.
Above-mentioned calculating can also adopt computer software to carry out, and adopts moving window to fetch data, and for the ease of calculating comparison, the width of sliding time window is also 1 day, also containing 12 measured values.
The crooked time gap computation process of table 1
Claims (4)
1. the analytical approach of landification equipment corrosion rate ANOMALOUS VARIATIONS, set up the ID call number by the measuring point of the petrochemical equipment of needs detection, regularly measuring point carried out to the corrosion rate detection, it is characterized in that:
Step 1: Criterion corrosion rate time-serial position database: under process conditions, take time period T as interval, set up the time-serial position of corrosion rate; The time-serial position of the corrosion rate of repeatedly sampling, form the corrosion rate time-serial position database of single measuring point;
Step 2: abnormal corrosion rate seasonal effect in time series detects: detect the corrosion rate of measuring point, form and take time period T as the interlude sequence curve;
Step 3: the comparison of corrosion rate time-serial position: the abnormal corrosion rate time series that step 2 detects and the standard corrosion rate time-serial position in standard corrosion rate time-serial position database are compared one by one;
Step 4: the judgement of corrosion rate ANOMALOUS VARIATIONS: the corrosion rate time-serial position quantity in step 3 surpasses default threshold, carries out the prompting of corrosion rate ANOMALOUS VARIATIONS.
2. the analytical approach of landification equipment corrosion rate ANOMALOUS VARIATIONS according to claim 1 is characterized in that: comparing between described abnormal corrosion rate time-serial position and standard corrosion rate time-serial position adopts the dynamic time warping distance computing method.
3. the analytical approach of landification equipment corrosion rate ANOMALOUS VARIATIONS according to claim 1 is characterized in that: each measuring point of the equipment that needs detect is set up the ID index, each measuring point ID building database.
4. the analytical approach of landification equipment corrosion rate ANOMALOUS VARIATIONS according to claim 1, it is characterized in that: choose many group corrosion rate time-serial positions and standard corrosion rate time-serial position and compare, corrosion rate ANOMALOUS VARIATIONS rate surpasses 1/2, is reported to the police.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017016496A1 (en) * | 2015-07-28 | 2017-02-02 | 中石化炼化工程（集团）股份有限公司 | Petrochemical equipment corrosion treatment method, apparatus, and system |
| CN113391052A (en) * | 2021-05-19 | 2021-09-14 | 山东省气象信息中心(山东省气象档案馆) | EMD-DTW-based soil moisture observation data abnormal value detection method |
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| CN102385639A (en) * | 2010-08-30 | 2012-03-21 | 谢建浩 | Cold efficiency evaluation method for refrigeration truck |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017016496A1 (en) * | 2015-07-28 | 2017-02-02 | 中石化炼化工程（集团）股份有限公司 | Petrochemical equipment corrosion treatment method, apparatus, and system |
| CN113391052A (en) * | 2021-05-19 | 2021-09-14 | 山东省气象信息中心(山东省气象档案馆) | EMD-DTW-based soil moisture observation data abnormal value detection method |
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Application publication date: 20140108 |