CN115953152A - Intelligent operation and maintenance management system for industrial pipeline safety - Google Patents
Intelligent operation and maintenance management system for industrial pipeline safety Download PDFInfo
- Publication number
- CN115953152A CN115953152A CN202310095357.1A CN202310095357A CN115953152A CN 115953152 A CN115953152 A CN 115953152A CN 202310095357 A CN202310095357 A CN 202310095357A CN 115953152 A CN115953152 A CN 115953152A
- Authority
- CN
- China
- Prior art keywords
- industrial pipeline
- data
- vibration frequency
- abnormal
- industrial
- 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.)
- Pending
Links
Images
Abstract
The invention provides an intelligent operation and maintenance management system for industrial pipeline safety, which comprises: the data acquisition module is used for uniformly distributing signal collection devices at the laying position of the industrial pipeline and acquiring abnormal vibration frequency data of the industrial pipeline for conveying liquid in a working state; the position estimation module is used for carrying out position model estimation on the vibration frequency data and carrying out screening and positioning on the estimated abnormal position of the industrial pipeline; and the judgment module is used for judging the constraint condition by setting the abnormal position of the industrial pipeline and outputting the abnormal data of the industrial pipeline, so that the early warning information is issued and the safe operation of the industrial pipeline is ensured.
Description
Technical Field
The invention relates to the field of operation and maintenance management of industrial pipelines, in particular to an intelligent operation and maintenance management system for industrial pipeline safety.
Background
With the remote transportation of fossil energy sources such as natural gas and oil, industrial pipelines play a very important role, and because industrial pipelines are arranged underground, leakage problems can be caused when industrial pipelines are subjected to load work due to ground pressure or the corrosion of the ground, although pipeline inspection through sensors is a necessary measure, irrecoverable loss can be caused due to the fact that the industrial pipelines are subjected to leakage risks instantly, analysis needs to be carried out on acquired vibration data or interference waveforms, and accordingly expected damage positions of the industrial pipelines can be judged quickly, and a need for technical personnel in the field to solve corresponding technical problems needs urgently.
Disclosure of Invention
The invention aims to at least solve the technical problems in the prior art, and particularly creatively provides an intelligent operation and maintenance management system for industrial pipeline safety.
In order to achieve the above object, the present invention provides an intelligent operation and maintenance management system for industrial pipeline safety, comprising:
the data acquisition module is used for uniformly distributing signal collection devices at the laying position of the industrial pipeline and acquiring abnormal vibration frequency data of the industrial pipeline for conveying liquid in a working state;
the position estimation module is used for carrying out position model estimation on the vibration frequency data and carrying out screening and positioning on the estimated abnormal position of the industrial pipeline;
and the judgment module is used for judging the constraint condition by setting the abnormal position of the industrial pipeline and outputting the abnormal data of the industrial pipeline, so that the early warning information is issued and the safe operation of the industrial pipeline is ensured.
Preferably, in the above technical solution, the data obtaining module includes:
monitoring data collection is carried out on the industrial pipeline through the obtained vibration frequency vector data, and the calculation is carried out through a decision model:
wherein u is the position data of the vibration frequency of the industrial pipeline, v is the probability of the vibration frequency of the position data, and w (u) i ) D (v) being a cost function of the location of the vibration frequency of the industrial pipeline i ) The method is a weight function of the vibration frequency generation position of the industrial pipeline, eta is a correction coefficient of the vibration frequency generation position, and i is the number of vibration frequency vectors.
Preferably, in the above technical solution, the data obtaining module further includes:
the cost function for calculating the abnormal occurrence position of the industrial pipeline is expressed as:
Δu i the deviation degree of the vibration frequency position data of the industrial pipeline is an offset value of the occurrence probability of the vibration frequency position data of the industrial pipeline, a and b are sample positioning data loss degree of the vibration frequency position of the industrial pipeline, when the loss degree is less than 1, the deviation degree of the vibration frequency position of the industrial pipeline is reduced, and mu is an interference degree coefficient of the vibration frequency position data of the industrial pipeline; if the value of mu is larger, the higher the interference degree of the position data is, the larger the deviation of the position data of the vibration frequency of the formed cost function is; if the value of mu is smaller, the lower the interference degree of the position data is, the smaller the abnormal position data deviation of the formed cost function is.
Preferably, in the above technical solution, the data obtaining module further includes:
the weight function calculation is performed on the vibration frequency generation position,
wherein D is an industrial pipeline vibration frequency position data set, c L Is the minimum measurement value related to the vibration frequency position of the industrial pipeline, the subscript L is the total length of the industrial pipeline,
the average value of the vibration frequency position data of the industrial pipeline is obtained; the weight calculation is then performed by the position data fitting parameter σ.
Preferably, in the above technical solution, the position estimating module includes:
according to the coincidence degree of the vibration frequency position, establishing an abnormal position model objective function:
according to the measurement data of the optical fiber sensors uniformly distributed with the interval length m, if the data of the accurate positioning interval exists, the vibration frequency position data detected by the industrial pipelineThe target function can be used for accurate positioning; j is a discrete value gamma j Total number of (2) from
M is the number of samples, k, of the abnormal positions of the industrial pipeline calculated by the decision model n An interval of anomaly locations is expected for the industrial pipeline.
Preferably, in the above technical solution, the position estimation module includes:
and when the measured data of m has no accurate positioning section data, determining abnormal position data by performing decision model calculation again because the boundary of the positioning section cannot be determined.
Preferably, in the above technical solution, the judging module includes:
and (3) an output process of abnormal position data of the industrial pipeline, which is related to the following constraint conditions:
setting corresponding abnormal position data limiting conditions, and confirming again according to the validity of the data and the objective function, then
G O ≥0；
G D ≤G E ·H·t s ·ε；
Wherein G is O The actual output quantity of the abnormal position of the industrial pipeline is not negative, and the data G of the accurate positioning abnormal position of the industrial pipeline D Less than or equal to the product of the expected abnormal position data of the industrial pipeline, the water head flowing length and the expected adjusting coefficient epsilon; g E Output quantity for predicting abnormal position of industrial pipeline, delta is proportion of accurately positioning abnormal position in all abnormal position data, P i The method is characterized in that M is a penalty factor for all vectors of the abnormal position data of the industrial pipeline.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
through carrying out preliminary abnormal position screening to the signal information that industrial pipeline acquireed, the set of industrial pipeline abnormal position is calculated by decision-making model to the invalid location data of convergence, then carry out objective function and calculate, to the location data that probably takes place unusually or leak, the evaluation index of design is more comprehensive, carries out accurate location operation through the constraint condition with the unusual position data that will accord with, uploads remote terminal with corresponding judgement data, thereby can carry out safe operation and maintenance to industrial pipeline.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a general flow diagram of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
As shown in fig. 1, the present invention discloses an intelligent operation and maintenance management system for industrial pipeline safety, which comprises:
the safe intelligent operation and maintenance management of the industrial pipeline is realized, and the used intelligent operation and maintenance work flow is as follows:
the method comprises the steps of carrying out pipeline subsection state monitoring aiming at the service life estimation of an industrial pipeline, and evaluating the safe running state of the pipeline, thereby setting a maintenance task time window;
through carrying out pipeline vibration risk rapid assessment (VibraSurv), the expected judgment is carried out on the safe operation of the industrial pipeline according to the judgment threshold value, and therefore the effect of safe operation and maintenance of the pipeline is achieved.
S1, uniformly arranging signal collecting devices at the laying position of an industrial pipeline, and acquiring abnormal vibration frequency data of the industrial pipeline for conveying liquid in a working state;
s2, carrying out position model estimation on the vibration frequency data, and carrying out screening and positioning on the estimated abnormal position of the industrial pipeline;
and S3, outputting abnormal data of the industrial pipeline by setting an abnormal position judgment constraint condition of the industrial pipeline, so as to issue early warning information and ensure the safe operation of the industrial pipeline.
Preferably, in the above technical solution, the S1 includes:
s1-1, acquiring data collection of the industrial pipeline through an optical fiber vibration sensor, wherein the data is characterized by regular vector data;
monitoring data collection is carried out on the industrial pipeline through the obtained vibration frequency vector data, and the calculation is carried out through a decision model:
wherein u is the position data of the vibration frequency of the industrial pipeline, v is the probability of the vibration frequency of the position data, and w (u) i ) Is a value function of the location of the vibration frequency of the industrial pipeline, d (v) i ) The method is a weight function of the vibration frequency generation position of the industrial pipeline, eta is a correction coefficient of the vibration frequency generation position, and i is the number of vibration frequency vectors;
s1-2, in order to reduce interference factors and positioning deviation caused by data misinformation of an optical fiber sensor, determining an optimal solution of an abnormal positioning cost function of an industrial pipeline comprises the following steps:
the decision mechanism of the industrial pipeline is to fully position the vibration position of the industrial pipeline to maximize data, then carry out threshold value convergence and constraint, in the analysis process, the actual abnormal position and the predicted position of the industrial pipeline are vibration positioning reference points acquired by an optical fiber sensor,
the method comprises the following steps of calculating a value function of the abnormal occurrence position of the industrial pipeline, wherein the value function is represented as:
Δu i the deviation degree of the vibration frequency position data of the industrial pipeline is an offset value of the occurrence probability of the vibration frequency position data of the industrial pipeline, a and b are sample positioning data loss degree of the vibration frequency position of the industrial pipeline, when the loss degree is less than 1, the deviation degree of the vibration frequency position of the industrial pipeline is reduced, and mu is an interference degree coefficient of the vibration frequency position data of the industrial pipeline; if the value of mu is larger, the higher the interference degree of the position data is, the larger the deviation of the position data of the vibration frequency of the formed cost function is; if the value of the mu is smaller, the lower the interference degree of the position data is, the smaller the deviation of the abnormal position data of the formed cost function is;
s1-3, calculating a weight function of the vibration frequency generation position,
wherein D is an industrial pipeline vibration frequency position data set, c L Is the minimum measurement value related to the vibration frequency position of the industrial pipeline, the subscript L is the total length of the industrial pipeline,
the average value of the vibration frequency position data of the industrial pipeline is obtained; and performing square operation to obtain a small distance of the vibration frequency position data through the difference between the minimum measured value and the mean value, and performing weight calculation through a position data fitting parameter sigma, wherein the results of all the functions can generate substantial influence on judgment of the abnormal position of the industrial pipeline, and the value dispersion of the fitting parameter sigma is related to the sample convergence strength of the vibration frequency position data.
Judging the coincidence degree of the abnormal position data according to the decision model; performing a location model estimation;
preferably, in the above technical solution, the S2 includes:
the abnormal position judgment can be carried out only when the abnormal position data meet the requirement, because in the process of oil or water transportation of the industrial pipeline, fault diagnosis is carried out through a position model objective function, so that a corresponding judgment threshold value is obtained, a corresponding abnormal position reference interval is set according to the judgment threshold value, and whether the leakage risk of the industrial pipeline occurs is judged.
S2-1, establishing an abnormal position model objective function according to the coincidence degree of the vibration frequency position:
uniformly distributing measurement data of interval length m according to the optical fiber sensors, generating false alarm on the optical fiber sensors due to the influence of other external vibration factors of the industrial pipeline, and if accurate positioning interval data exist, accurately positioning the vibration frequency position data detected by the industrial pipeline through a target function; j is a discrete value gamma j Total number of (2) from
M is the number of samples, k, of the abnormal positions of the industrial pipeline calculated by the decision model n An interval of abnormal positions is expected for the industrial pipeline,
s2-2, when the measured data of m has no accurate positioning section data, determining abnormal position data by performing decision model calculation again because the boundary of the positioning section cannot be determined;
according to whether the data collected by the optical fiber sensor arranged in the industrial pipeline is caused by pipeline leakage, error screening and judgment are required to be carried out and the abnormal position or the pipeline leakage point is required to be accurately positioned,
according to the flow velocity calculation formula of the industrial pipeline: h = (x) 2 ·L)C 2 R, where H is the liquid head, in terms of pressure, L is the length of the pipe, x is the outflow velocity of the industrial pipe, and R is the hydraulic radius R = industrial pipe cross-sectional area/inner wall perimeter = R/2,C as the competence factor.
Preferably, in the above technical solution, the S3 includes:
and (3) an output process of abnormal position data of the industrial pipeline, which is related to the following constraint conditions:
setting corresponding abnormal position data limiting conditions, and confirming again according to the validity of the data and the objective function, then
G O ≥0；
G D ≤G E ·H·t s ·ε；
In the process of positioning the abnormal position of the industrial pipeline, the flowing time t is caused by the interval m of the optical fiber sensors s The vibration frequency of the sensor is changed linearly, so that abnormal data are output according to the time judgment condition; g O The actual output quantity of the abnormal position of the industrial pipeline is not negative, and the data G of the accurate positioning abnormal position of the industrial pipeline D Less than or equal to the product of the expected abnormal position data of the industrial pipeline, the water head flowing length and the expected adjusting coefficient epsilon; g E Delta is the proportion of the pinpointed anomaly location in the total anomaly location data, P, for the expected industrial pipeline anomaly location output i And M is a punishment factor for removing illegal solutions, and when M is a maximum value, the fitness punishment is carried out when the constraint condition is not met.
When the obtained sample points of the abnormal positions of the industrial pipeline are enough, the positions where the abnormal positions occur are determined roughly and the positioning errors are subjected to constraint screening, because a large amount of sample data of the abnormal positions need corresponding constraint conditions, accurate positioning information can be obtained, otherwise, the positioning workload is large, and error deviation is caused.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. The utility model provides an industry pipeline safety intelligence fortune dimension management system which characterized in that includes:
the data acquisition module is used for uniformly distributing signal collection devices at the laying position of the industrial pipeline and acquiring abnormal vibration frequency data of the industrial pipeline for conveying liquid in a working state;
the position estimation module is used for carrying out position model estimation on the vibration frequency data and screening and positioning the estimated abnormal position of the industrial pipeline;
and the judgment module is used for judging constraint conditions by setting the abnormal positions of the industrial pipelines and outputting abnormal data of the industrial pipelines, so that early warning information is issued and the safe operation of the industrial pipelines is guaranteed.
2. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 1, wherein the data acquisition module comprises:
monitoring data collection is carried out on the industrial pipeline through the obtained vibration frequency vector data, and the calculation is carried out through a decision model:
wherein u is the position data of the vibration frequency of the industrial pipeline, v is the probability of the vibration frequency of the position data, and w (u) i ) D (v) being a cost function of the location of the vibration frequency of the industrial pipeline i ) The weight function of the vibration frequency generation position of the industrial pipeline is obtained, eta is a correction coefficient of the vibration frequency generation position, and i is the number of vibration frequency vectors.
3. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 2, wherein the data acquisition module further comprises:
and calculating a value function of the abnormal occurrence position of the industrial pipeline as follows:
Δu i the deviation degree of the vibration frequency position data of the industrial pipeline is an offset value of the occurrence probability of the vibration frequency position data of the industrial pipeline, a and b are sample positioning data loss degree of the vibration frequency position of the industrial pipeline, when the loss degree is less than 1, the deviation degree of the vibration frequency position of the industrial pipeline is reduced, and mu is an interference degree coefficient of the vibration frequency position data of the industrial pipeline; if the value of mu is larger, the higher the interference degree of the position data is, the larger the deviation of the position data of the vibration frequency of the formed cost function is; if the value of mu is smaller, the lower the interference degree of the position data is, the smaller the abnormal position data deviation of the formed cost function is.
4. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 3, wherein the data acquisition module further comprises:
the weight function calculation is performed on the vibration frequency occurrence position,
wherein D is a data set of vibration frequency and position of the industrial pipeline, and c L Is the minimum measurement value related to the vibration frequency position of the industrial pipeline, the subscript L is the total length of the industrial pipeline,
the average value of the vibration frequency position data of the industrial pipeline is obtained; the weight calculation is then performed by the position data fitting parameter σ.
5. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 1, wherein the position estimation module comprises:
according to the coincidence degree of the vibration frequency position, establishing an abnormal position model objective function:
uniformly distributing measurement data of interval length m according to the optical fiber sensors, and if accurate positioning interval data exist, accurately positioning vibration frequency position data detected by the industrial pipeline through a target function; j is the discrete value gamma j Total number of (A) from
M is the number of samples, k, of the abnormal positions of the industrial pipeline calculated by the decision model n An interval of anomaly locations is expected for the industrial pipeline.
6. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 5, wherein the position estimation module comprises:
and when the measured data of m has no accurate positioning section data, determining abnormal position data by performing decision model calculation again because the boundary of the positioning section cannot be determined.
7. The intelligent operation and maintenance management system for industrial pipeline safety according to claim 1, wherein the judging module comprises:
and (3) an output process of abnormal position data of the industrial pipeline, which is related to the following constraint conditions:
setting corresponding abnormal position data limiting conditions, and confirming again according to the validity of the data and the objective function, then
G O ≥0；
G D ≤G E ·H·t s ·ε；
Wherein G is O The actual output quantity of the abnormal position of the industrial pipeline is not negative, and the data G of the accurate positioning abnormal position of the industrial pipeline D Less than or equal to the product of the expected abnormal position data of the industrial pipeline, the water head flowing length and the expected adjusting coefficient epsilon; g E Output quantity for predicting abnormal position of industrial pipeline, delta is proportion of accurately positioning abnormal position in all abnormal position data, P i The method is characterized in that M is a penalty factor for all vectors of the abnormal position data of the industrial pipeline.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310095357.1A CN115953152A (en) | 2023-02-07 | 2023-02-07 | Intelligent operation and maintenance management system for industrial pipeline safety |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310095357.1A CN115953152A (en) | 2023-02-07 | 2023-02-07 | Intelligent operation and maintenance management system for industrial pipeline safety |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115953152A true CN115953152A (en) | 2023-04-11 |
Family
ID=87286003
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310095357.1A Pending CN115953152A (en) | 2023-02-07 | 2023-02-07 | Intelligent operation and maintenance management system for industrial pipeline safety |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115953152A (en) |
-
2023
- 2023-02-07 CN CN202310095357.1A patent/CN115953152A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109524139B (en) | Real-time equipment performance monitoring method based on equipment working condition change | |
| CN112555689B (en) | Multi-sensing pipeline state intelligent monitoring device | |
| CN109325692B (en) | Real-time data analysis method and device for water pipe network | |
| US20130066568A1 (en) | Integrated system with acoustic technology, mass imbalance and neural network for detecting, locating and quantifying leaks in ducts | |
| CN108360608B (en) | Pipe burst identification and positioning method for water delivery pipe of water supply system | |
| CN103942735A (en) | Method for evaluating relay protection states | |
| CN110991692B (en) | Heat exchanger group operation condition monitoring, cleaning and early warning method based on dynamic envelope curve method | |
| JP5164954B2 (en) | Device diagnostic method and device diagnostic device | |
| WO2015026166A1 (en) | Unusual data predicting method and computer-readable storage medium in which program for executing said method is stored | |
| CN116105802B (en) | Underground facility safety monitoring and early warning method based on Internet of things | |
| CN110874803B (en) | Water affair decision-making auxiliary analysis system | |
| CN114646022A (en) | Special gas supply pipeline big data monitoring system and method | |
| CN115165725A (en) | Data-driven marine equipment corrosion monitoring and safety early warning system | |
| CN108345707A (en) | The pipeline corrosion default plan response time based on probability determines method and device | |
| WO2019007497A1 (en) | Non-intrusive vibrational method and apparatus of a centralized system for water distribution network pipelines' leak detection and monitoring | |
| CN114881269B (en) | Abnormity detection method and device for material conveying pipeline | |
| CN115953152A (en) | Intelligent operation and maintenance management system for industrial pipeline safety | |
| CN116541678A (en) | Pressure monitoring method and device for gas station safety pipeline | |
| EP3179165B1 (en) | Steam using facility management method, and steam using facility | |
| CN117308275B (en) | Temperature difference-based pipeline connection abnormality detection method and system | |
| CN117786822B (en) | Waterproof treatment management system suitable for shield tunnel emergency | |
| CN114997759B (en) | Heat supply pipeline support and hanger stability early warning method and system | |
| CN117082105B (en) | Environment-friendly intelligent hospital facility monitoring system and method | |
| CN117469604B (en) | Risk monitoring control system for urban transportation and distribution pipe network | |
| CN116560417B (en) | Full-automatic liquid discharge control method and system for gas-liquid separation |
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 |