CN116757043A

CN116757043A - Mining pipeline defect analysis method, system, terminal equipment and storage medium

Info

Publication number: CN116757043A
Application number: CN202310747029.5A
Authority: CN
Inventors: 朱建波; 陈奂宇; 张国庆; 刘汉武; 闫冬冬
Original assignee: Henan Borui Fluid Equipment Co ltd
Current assignee: Henan Borui Fluid Equipment Co ltd
Priority date: 2023-06-21
Filing date: 2023-06-21
Publication date: 2023-09-15

Abstract

The application relates to the technical field of pipeline detection, in particular to a mining pipeline defect analysis method, a mining pipeline defect analysis system, a mining pipeline defect analysis terminal device and a mining pipeline defect analysis storage medium. If the failure mechanism of the defect type is improper installation design, combining the installation design parameters and the working load parameters corresponding to the abnormal structural component to generate a defect prediction analysis model corresponding to the abnormal structural component; if the failure mechanism of the defect type is a working environment factor, acquiring environment influence parameters corresponding to a target working area; and generating a predicted damage trend graph of the corresponding structure part of the pipeline according to the damage coefficient corresponding to the environmental influence parameter. The mining pipeline defect analysis method, the mining pipeline defect analysis system, the terminal equipment and the storage medium provided by the application have the advantage that the analysis effect of the pipeline defects is improved.

Description

Mining pipeline defect analysis method, system, terminal equipment and storage medium

Technical Field

The application relates to the technical field of pipeline detection, in particular to a mining pipeline defect analysis method, a mining pipeline defect analysis system, a mining pipeline defect analysis terminal device and a mining pipeline defect analysis storage medium.

Background

The mine emulsion conveying pipeline refers to a pipeline system for conveying emulsion in mine production, and is commonly used for blasting operation, spraying operation and the like in mine production. The emulsion conveying pipeline is generally composed of a pipeline body, a pipeline support, pipeline accessories and the like, and the materials, specifications, installation modes and the like of the emulsion conveying pipeline need to be selected and designed according to specific use requirements.

In mine production, the quality and safety of emulsion conveying pipelines play a vital role in the smooth running of mine production, so that the emulsion conveying pipelines need to be checked and maintained regularly to ensure the normal running of the emulsion conveying pipelines.

In practical application, the common method for detecting defects of the mine emulsion pipeline mainly comprises ultrasonic detection and magnetic powder detection, and the two methods can detect some defects, but do not carry out specific detailed analysis and exploration on the reasons for generating the defects, so that the analysis strength of the pipeline defects is insufficient, further effective preventive measures cannot be made, the occurrence of similar defects again cannot be avoided, and the long-term stable operation of the pipeline is affected.

Disclosure of Invention

In order to improve the analysis effect of pipeline defects, the application provides a mining pipeline defect analysis method, a mining pipeline defect analysis system, terminal equipment and a storage medium.

In a first aspect, the application provides a mining pipeline defect analysis method, comprising the following steps:

acquiring a target working area corresponding to a pipeline according to the structural characteristics of the pipeline;

if the target working area has a pipeline defect, acquiring a corresponding defect type;

if the failure mechanism of the defect type is improper installation design, acquiring an abnormal structural component corresponding to the pipeline;

Combining the installation design parameters and the working load parameters corresponding to the abnormal structural components to generate a defect prediction analysis model corresponding to the abnormal structural components;

obtaining a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area according to the defect prediction analysis model;

if the failure mechanism of the defect type is a working environment factor, acquiring an environment influence parameter corresponding to the target working area;

generating a predicted damage trend graph of the corresponding structural part of the pipeline according to the damage coefficient corresponding to the environmental impact parameter;

and generating a pipeline damage prediction distribution table corresponding to the target working area as the defect analysis report corresponding to the target working area by combining the structural part and the predicted damage trend graph corresponding to the structural part.

By adopting the technical scheme, the target working areas corresponding to the pipelines are acquired according to the structural characteristics of the pipelines, so that real-time positioning monitoring is conducted on each conveying node of the pipelines, if the failure mechanism of the defect type is improper in installation design, a corresponding defect prediction analysis model is generated by combining the installation design parameters of the corresponding abnormal structural components and the working load parameters of the current pipelines for strengthening analysis of defects of the pipelines, the defect situation possibly occurring in the abnormal structural components is predicted, a defect analysis report which can be specifically referred to by related personnel is generated according to the prediction indication of the specific defect situation in the defect prediction analysis model, if the failure mechanism of the defect type is a working environment factor, the damage coefficient of the corresponding environment influence parameters of the current target working area and the predicted damage trend map of the damage structural parts are combined for analyzing the actual damage of the pipelines, and a pipeline damage prediction distribution table which can be specifically referred to by related personnel is generated. Because the factors such as structural characteristics, defect types, failure mechanisms, installation design parameters, working load parameters, environmental influence parameters and the like of the pipeline are comprehensively considered, the defect condition and damage trend of the pipeline can be more accurately predicted by establishing a prediction model and an analysis tool, the potential problems of the pipeline can be found in advance, corresponding measures are taken for repairing or maintaining, and therefore the analysis effect of the pipeline defects is improved.

Optionally, in combination with the installation design parameter and the workload parameter corresponding to the abnormal structural component, generating the defect prediction analysis model corresponding to the abnormal structural component includes the following steps:

performing stress analysis by combining the installation design parameters and the working load parameters, and generating stress analysis data corresponding to the abnormal structural component;

judging whether a plurality of stress concentration areas exist in the abnormal structural component according to the stress analysis data;

if a plurality of stress concentration areas exist in the abnormal structural component, acquiring the stress magnitude and the stress direction corresponding to each stress concentration area;

generating a predicted defect type corresponding to the stress concentration area by combining the stress magnitude and the stress direction;

and generating the defect prediction analysis model corresponding to the abnormal structural component according to the stress concentration area and the predicted defect type corresponding to the stress concentration area.

By adopting the technical scheme, the stress area prediction analysis is carried out on the abnormal structural component, the potential defect problem of the pipeline due to abnormal stress can be found in advance, and corresponding measures are taken for repairing or reinforcing, so that the safety and reliability analysis of the pipeline are improved.

Optionally, generating the predicted defect type corresponding to the stress concentration area further includes the steps of:

acquiring corresponding damage mechanism data according to the stress magnitude and the stress direction;

combining the damage mechanism data and stress analysis factors corresponding to the abnormal structural component to generate corresponding predicted defects and induction probabilities corresponding to the predicted defects;

and generating the predicted defect type corresponding to the stress concentration area by combining the predicted defect and the induction probability corresponding to the predicted defect.

By adopting the technical scheme, the possible damage forms and mechanisms of the abnormal structural components under different stress conditions can be known according to the damage mechanism data, the corresponding predicted defects can be generated by combining the damage mechanism data and stress analysis factors of the abnormal structural components, meanwhile, the specific predicted defect types in the corresponding stress concentration areas can be generated by combining the predicted defects and the corresponding induction probabilities of the predicted defects, and the possible defect types can be predicted more accurately by comprehensively considering the stress magnitude, the stress direction, the damage mechanism, the stress analysis factors and the induction probabilities, so that the analysis effect on the pipeline defects is improved.

Optionally, according to the defect prediction analysis model, obtaining the corresponding defect prediction indicator as the defect analysis report corresponding to the target working area includes the following steps:

acquiring corrected installation design parameters corresponding to the abnormal structural components according to the defect prediction analysis model;

generating a parameter correction scheme corresponding to the abnormal structural component according to the correction installation design parameters;

if the number of the parameter correction schemes is multiple, acquiring feasibility analysis data corresponding to each parameter correction scheme;

and generating a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area by combining the parameter correction scheme and the feasibility analysis data corresponding to the parameter correction scheme.

By adopting the technical scheme, the parameter correction and design adjustment can be carried out on the abnormal structural component according to the defect prediction indication item so as to reduce and eliminate the potential defect risk, and meanwhile, the feasibility analysis and the generation of the defect prediction indication item can provide scientific basis and guidance to ensure the feasibility and the effectiveness of the correction scheme.

Optionally, if the failure mechanism of the defect type is a working environment factor, the method further includes the following steps after obtaining an environment influence parameter corresponding to the target working area:

If the environmental influence parameters are multiple, judging whether the environmental influence parameters have correlation influence;

if the association influence exists among the environment parameter classes, acquiring a corresponding target environment parameter class;

forming a corresponding associated environment parameter group according to the target environment parameter class;

and generating an environment parameter associated damage distribution map corresponding to the pipeline according to the associated damage factors corresponding to the associated environment parameter groups.

By adopting the technical scheme, the influence of the corresponding environment of the target working area on the pipeline is comprehensively considered, the influence is combined with defect analysis, the generation of the associated environment parameter group and the environment parameter associated damage distribution map can provide more accurate and comprehensive environment influence evaluation for the pipeline, and the defect distribution and the risk area of the pipeline are accurately determined, so that the analysis effect on the pipeline defects is improved.

Optionally, if the association influence exists between the environmental parameter classes, the method further includes the following steps after obtaining the corresponding target environmental parameter class:

if the correlation effect between the target environment parameter classes is positive correlation, acquiring environment parameter independent variables and environment parameter dependent variables in the target environment parameter classes;

And generating a corresponding environment parameter warning item according to the environment parameter independent variable, the environment parameter dependent variable and the correlation coefficient between the environment parameter independent variable and the environment parameter dependent variable.

By adopting the technical scheme, the environmental parameter warning item in the target working area can be generated according to the environmental parameter independent variable, the environmental parameter dependent variable and the correlation coefficient between the environmental parameter independent variable and the environmental parameter dependent variable, so that engineers and technicians can be timely reminded of the environmental parameters focused and considered in the pipeline defect analysis according to the environmental parameter warning item, and the analysis effect of corresponding environmental influence factors of the pipeline defects is improved.

Optionally, generating the environmental parameter associated damage distribution map corresponding to the pipeline according to the associated damage factor corresponding to the associated environmental parameter set includes the following steps:

determining the damage development stage of the pipeline under the action of the associated damage factors according to the damage development process corresponding to the associated damage factors;

and combining the associated damage factors and the damage development stages corresponding to the associated damage factors to generate an environment parameter associated damage distribution map corresponding to the pipeline.

By adopting the technical scheme, the damage condition of the pipeline under the action of the associated damage factors can be intuitively displayed according to the environmental parameter associated damage distribution map, engineers and technicians are helped to better understand and evaluate the health condition of the pipeline, and the weak link and the high risk area of the current pipeline can be timely found, so that the analysis effect of the pipeline defects is improved.

In a second aspect, the present application provides a mining pipeline defect analysis system, comprising:

the region acquisition module is used for acquiring a target working region corresponding to the pipeline according to the structural characteristics of the pipeline;

the defect acquisition module is used for acquiring a corresponding defect type if the target working area has a pipeline defect;

the abnormal component acquisition module is used for acquiring an abnormal structural component corresponding to the pipeline if the failure mechanism of the defect type is improper in installation design;

the prediction defect analysis module is used for generating a defect prediction analysis model corresponding to the abnormal structural component by combining the installation design parameter and the working load parameter corresponding to the abnormal structural component;

the first defect report generation module is used for acquiring a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area according to the defect prediction analysis model;

the environment factor acquisition module is used for acquiring environment influence parameters corresponding to the target working area if the failure mechanism of the defect type is a working environment factor;

The predicted damage analysis module is used for generating a predicted damage trend graph of the corresponding structural part of the pipeline according to the damage coefficient corresponding to the environmental impact parameter;

and the second defect report generating module is used for combining the structural part and the predicted damage trend graph corresponding to the structural part to generate a pipeline damage prediction distribution table corresponding to the target working area as the defect analysis report corresponding to the target working area.

By adopting the technical scheme, according to the identification analysis of the structural characteristics of the pipeline by the area acquisition module, the target working areas corresponding to the pipeline can be acquired in sequence so as to conveniently carry out real-time positioning monitoring on each conveying node of the pipeline, if the failure mechanism of the defect type is improper in installation design, in order to strengthen the analysis of the defect of the pipeline caused by abnormal installation design, a corresponding defect prediction analysis model is generated by combining the installation design parameters of the corresponding abnormal structural components and the working load parameters of the current pipeline by the prediction defect analysis module and is used for predicting the possible defect situation of the abnormal structural components, then a defect analysis report which can be specifically referred to by related personnel is generated by the first defect report generation module according to the prediction indication of the specific defect situation in the defect prediction analysis model, and if the failure mechanism of the defect type is a working environment factor, the actual damage of the pipeline which is subjected to the specific environment influence parameters is analyzed by the prediction damage analysis module, and the corresponding damage coefficient of the specific environment influence parameters and the predicted damage trend map of the damaged structural parts are combined by the prediction damage analysis module, and the second defect report generation module is used for generating the prediction defect distribution which can be used as the corresponding damage report of the pipeline specific reference by the related personnel. Because the factors such as structural characteristics, defect types, failure mechanisms, installation design parameters, working load parameters, environmental influence parameters and the like of the pipeline are comprehensively considered, the defect condition and damage trend of the pipeline can be more accurately predicted by establishing a prediction model and an analysis tool, the potential problems of the pipeline can be found in advance, corresponding measures are taken for repairing or maintaining, and therefore the analysis effect of the pipeline defects is improved.

In a third aspect, the present application provides a terminal device, which adopts the following technical scheme:

the terminal equipment comprises a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor adopts the mining pipeline defect analysis method when loading and executing the computer instructions.

By adopting the technical scheme, the mining pipeline defect analysis method generates the computer instruction, and stores the computer instruction in the memory to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the mining pipeline defect analysis method is convenient to use.

In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:

a computer readable storage medium having stored therein computer instructions which, when loaded and executed by a processor, employ a mining pipeline defect analysis method as described above.

By adopting the technical scheme, the mining pipeline defect analysis method generates the computer instruction, stores the computer instruction in the computer readable storage medium to be loaded and executed by the processor, and facilitates the reading and storage of the computer instruction through the computer readable storage medium.

In summary, the present application includes at least one of the following beneficial technical effects: according to the structural characteristics of the pipeline, a target working area corresponding to the pipeline is obtained so as to conveniently conduct real-time positioning monitoring on each conveying node of the pipeline, if the failure mechanism of the defect type is improper in installation design, a corresponding defect prediction analysis model is generated by combining installation design parameters of corresponding abnormal structural components and working load parameters of the current pipeline in order to strengthen analysis of defects of the pipeline caused by abnormal installation design, the defect prediction analysis model is used for predicting possible defect conditions of the abnormal structural components, a defect analysis report which can be specifically referred to by related personnel is generated according to a prediction indication of specific defect conditions in the defect prediction analysis model, and if the failure mechanism of the defect type is a working environment factor, a pipeline damage prediction distribution table which can be specifically referred to by related personnel is generated by combining a damage coefficient of the corresponding environment influence parameters in the current target working area and a predicted damage trend map of damaged structural parts in order to analyze the actual damage of the pipeline. Because the factors such as structural characteristics, defect types, failure mechanisms, installation design parameters, working load parameters, environmental influence parameters and the like of the pipeline are comprehensively considered, the defect condition and damage trend of the pipeline can be more accurately predicted by establishing a prediction model and an analysis tool, the potential problems of the pipeline can be found in advance, corresponding measures are taken for repairing or maintaining, and therefore the analysis effect of the pipeline defects is improved.

Drawings

Fig. 1 is a schematic flow chart of steps S101 to S108 in the mining pipeline defect analysis method according to the present application.

Fig. 2 is a schematic flow chart of steps S201 to S205 in the mining pipeline defect analysis method according to the present application.

Fig. 3 is a schematic flow chart of steps S301 to S303 in the mining pipeline defect analysis method according to the present application.

Fig. 4 is a schematic flow chart of steps S401 to S404 in the mining pipeline defect analysis method according to the present application.

Fig. 5 is a schematic flow chart of steps S501 to S504 in the mining pipeline defect analysis method according to the present application.

Fig. 6 is a schematic flow chart of steps S601 to S602 in the mining pipeline defect analysis method according to the present application.

Fig. 7 is a schematic flow chart of steps S701 to S702 in the mining pipeline defect analysis method according to the present application.

FIG. 8 is a schematic block diagram of a mining pipeline defect analysis system according to the present application.

Reference numerals illustrate:

1. a region acquisition module; 2. a defect acquisition module; 3. an abnormal component acquisition module; 4. a predictive defect analysis module; 5. a first defect report generating module; 6. an environmental factor acquisition module; 7. a predictive impairment analysis module; 8. and a second defect report generating module.

Detailed Description

The application is described in further detail below with reference to fig. 1-8.

The embodiment of the application discloses a mining pipeline defect analysis method, which is shown in fig. 1 and comprises the following steps:

s101, acquiring a target working area corresponding to a pipeline according to the structural characteristics of the pipeline;

s102, if a pipeline defect exists in the target working area, acquiring a corresponding defect type;

s103, if the failure mechanism of the defect type is improper installation design, acquiring an abnormal structural component corresponding to the pipeline;

s104, combining the installation design parameters and the working load parameters corresponding to the abnormal structural components to generate a defect prediction analysis model corresponding to the abnormal structural components;

s105, acquiring a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area according to the defect prediction analysis model;

s106, if the failure mechanism of the defect type is a working environment factor, acquiring environment influence parameters corresponding to the target working area;

s107, generating a predicted damage trend chart of the corresponding structural part of the pipeline according to the damage coefficient corresponding to the environmental influence parameter;

s108, combining the structure part and the predicted damage trend graph corresponding to the structure part, and generating a pipeline damage prediction distribution table corresponding to the target working area as a defect analysis report corresponding to the target working area.

In step S101, the pipeline may be divided into different working areas, such as a feeding area, a discharging area, a turning area, a connecting area, etc., according to the structure and the working characteristics of the pipeline. Dividing the pipeline into different working areas can perform more accurate analysis and positioning on the pipeline defects.

In practical application, pipelines in different working areas have differences in structure and working characteristics, and defects in different working areas can be analyzed to more accurately determine the positions of the defects, so that the problems of rapid positioning and repair are facilitated. In addition, the pipelines in different working areas have differences in stress, medium flow and the like, and corresponding preventive measures can be summarized by analyzing the defect characteristics of the different working areas, so that appropriate technical measures and defect protective measures can be adopted for the pipeline characteristics of the different working areas, and similar defects are prevented from happening again.

In step S102, there may be substantial differences in the types of pipe defects in the different target working areas. For example, feed zone defects: the feed zone is the starting point of a pipeline system, and common defects in the feed zone include unstable pipeline connection, blockage of a feed inlet, unstable feed flow and the like, and the defects can cause problems such as uneven flow, leakage or blockage of the pipeline.

For another example, turning zone defects: the turning zone is a curved portion in the piping system, and common turning zone defects include elbow wear, elbow deformation, elbow inner wall accumulation, and the like. These defects may cause problems of increased flow resistance of the pipe, reduced flow rate, increased pressure loss, and the like.

The pipeline defect in the target working area can be detected by using an ultrasonic detector to scan and detect the pipeline or by using equipment such as an endoscope to visually inspect the pipeline.

And if the pipeline defects do not exist in the target working areas, the pipeline defect monitoring equipment continuously acquires monitoring data of pipelines in different target working areas in real time.

In step S103, improper installation design refers to the situation that there is an error or unreasonable design scheme in the process of installing the pipeline, and failure mechanism refers to the root cause or process that causes the pipeline to have a corresponding defect type. For example, failure mechanisms are improper installation designs, and design defects in the pipeline may result in improper installation or improper construction of related components of the pipeline, thereby affecting the proper operation and service life of the pipeline. Abnormal structural components are structural components that find stresses exceeding design or safety limits in stress analysis. These components may suffer from stress concentrations, reduced fatigue life, plastic deformation, and the like.

Among the failure mechanisms of design defects include: the strength is insufficient, the design strength of the pipeline is insufficient, and the pipeline cannot bear load under working conditions, so that the pipeline is deformed, broken and other failures occur; the connection is not firm, the design of the connection part of the pipeline is unreasonable or the installation is improper, so that the problems of loose connection, water leakage and the like are caused; the materials are improperly selected, and the selection of the pipeline materials does not meet the working conditions and environmental requirements, so that the pipeline is corroded, fatigued and other failures occur.

Secondly, an abnormal structural component of the pipeline, which has corresponding defects due to improper installation design, is obtained. For example, the abnormal structural component is a bend, and the corresponding defect type is bend deformation, i.e., when the bend in the pipe installation is not properly designed or installed, the bend deformation may be caused. This may be due to excessive stress, uneven load distribution, or insufficient material strength. Bend deformation can cause problems with flow resistance, leakage or cracking of the pipe.

In step S104, installation design parameters refer to various parameters involved in the pipe design and installation process, which directly affect the installation quality and performance of the pipe components. Common installation design parameters include material selection of the components, dimensional design, manner of connection, wall thickness, etc.

Secondly, the working load parameters refer to various working conditions such as forces, pressures, temperatures, flow rates and the like acting on the abnormal structural components during actual operation of the pipeline. These parameters reflect the mechanical, thermal, hydrodynamic, etc. loads to which the component is subjected in the operating state. The determination of the working load parameters needs to take into account the actual working conditions and the use environment to ensure that the components can work normally and meet the design requirements.

Further, by combining the installation design parameters corresponding to the current abnormal structural component and the working load parameters corresponding to the abnormal structural component of the conventional lower pipeline, a defect prediction analysis model corresponding to the abnormal structural component can be generated, wherein the defect prediction analysis model refers to an analysis model for predicting the defect risk of the abnormal structural component. Based on installation design parameters and working load parameters of abnormal structural components, the defect probability of the components is predicted and estimated by establishing a mathematical model and applying a related statistical method.

Specifically, the establishment of the defect prediction analysis model can be roughly divided into the following steps: data collection and processing the model requires collection and processing of data related to installation design parameters and workload parameters of the abnormal structural component. These data may be obtained by experimental, monitoring, measurement, etc.; feature extraction and selection the model requires the extraction and selection of appropriate features from the collected data for describing the characteristics and performance of the abnormal structural component.

Wherein the selection of the features should be able to reflect the risk of defects of the component; model building and training, the model needs to build a mathematical model and use the existing data for training and optimization. Common models include regression models, classification models, neural network models, and the like; defect prediction and assessment, by means of the trained model, defect prediction and assessment can be performed on new abnormal structural components. The model may predict a probability of a defect or a risk level of the component based on the installation design parameters and the workload parameters of the component.

For example, the bend deformation prediction model: the model predicts whether the elbow will deform by establishing a relationship between the elbow deformation and the parameters of the installation design parameters (such as the material, size, wall thickness, etc. of the elbow) and the operating load parameters (such as fluid pressure, temperature, flow rate, etc.) of the elbow. The model can adopt methods such as finite element analysis and the like, and judges whether deformation risks exist by simulating stress and deformation conditions of the elbow under different working conditions.

In step S105, the defect prediction indicator is an indicator of analysis prediction for each defect type in the defect prediction analysis model, and according to the specific prediction indicators of the target working areas for each type of defect, a defect analysis report for reference analysis of the relevant staff can be generated.

For example, the defect prediction indicator may be a defect probability or risk level of the defect type, that is, a probability or risk level that the target working area has a defect may be obtained according to a result of model prediction. By means of which it is possible to show how likely the target working area is that the relevant defect type is, or how severe the defect is.

For another example, the defect prediction indicator may be a defect location, i.e., the defect prediction analysis model may predict a location where a defect may occur in a target working area, such as a particular area or critical connection point of the component. The specific position of the defect can be located and detected through the defect prediction indication item output by the defect detection device.

In step S106, if the failure mechanism of the current defect type is a working environment factor, the environmental impact parameter in the target working area may be further obtained and analyzed, where the environmental impact parameter refers to a relevant environmental factor parameter that damages the pipeline. For example, ambient temperature is one of the factors of the pipeline operating environment, and high or low temperature environments may cause the material to expand, shrink or deform, thereby increasing the risk of pipeline defects. As another example, humidity is another important environmental impact parameter, and high humidity environments may cause defects such as corrosion, oxidation, or electrical failure, particularly for metal parts.

In step S107, a damage coefficient is calculated according to the environmental impact parameter and the failure mechanism of the defect type, and is used to represent the damage degree of the environment to the pipeline structural part. For example, the damage factor may be a specific number within a range of values, typically between 0 and 1, indicating the extent from no damage to complete damage, i.e., 0 indicating no damage and 1 indicating complete damage.

Secondly, the predicted damage trend graph is a trend graph which draws the damage degree of a pipeline structure part along with time according to the relation between the damage coefficient and time or working period. For example, setting the horizontal axis of a two-dimensional coordinate system to represent time or duty cycle and the vertical axis to represent the damage level may be represented using damage coefficients. The damage degree change condition of the pipeline structure part under different time or working period can be intuitively known by drawing a predicted damage trend graph.

In step S108, the pipe damage prediction distribution table is a table for analyzing and predicting the degree of damage of the pipe structure portion. Based on the structural parts and the predicted damage trend graph, the damage degree of different structural parts is expressed in the form of numerical values or symbols so as to more intuitively know the damage condition of the pipeline.

For example, a trend of the damage degree of each structural portion with time is predicted from the predicted damage trend map. The damage coefficient may be used to represent the degree of damage. And comprehensively analyzing the damage condition of each structural part according to the damage coefficient and the predicted damage trend to generate a damage prediction distribution table. The table may show the extent of damage to various structural sites, such as mild damage, moderate damage, severe damage, etc., and may be colored or symbolized to indicate different levels of damage.

The defect analysis report can be generated according to a pipeline damage prediction distribution table corresponding to the target working area. The report includes the following: a brief introduction to the target working area, including the structural parts of the pipeline and the importance thereof; the damage prediction analysis is carried out, and the damage degree of each structural part is analyzed and explained according to a pipeline damage prediction distribution table, so that the structural parts of the pipeline have higher damage risks, and the structural parts need to be maintained and protected preferentially; the maintenance proposal, according to the damage prediction analysis result, proposes corresponding maintenance proposal, namely frequency of periodic inspection and maintenance, specific maintenance method and measure, etc.; and risk assessment, namely assessing the risk of the target working area according to the damage prediction analysis and the maintenance advice.

According to the mining pipeline defect analysis method provided by the embodiment, according to the structural characteristics of the pipeline, a target working area corresponding to the pipeline is obtained so as to conveniently conduct real-time positioning monitoring on each conveying node of the pipeline, if the failure mechanism of the defect type is improper in installation design, in order to strengthen analysis of defects of the pipeline caused by abnormal installation design, a corresponding defect prediction analysis model is generated by combining installation design parameters of corresponding abnormal structural components and working load parameters of the current pipeline and is used for predicting possible defect conditions of the abnormal structural components, then a defect analysis report which can be specifically referred to by related personnel is generated according to a prediction indication of specific defect conditions in the defect prediction analysis model, if the failure mechanism of the defect type is a working environment factor, in order to analyze actual damage to the pipeline by which specific environment influence parameters are received, a pipeline damage prediction distribution table which can be specifically referred to by related personnel is generated by combining damage coefficient of the corresponding environment influence parameters and a predicted damage trend map of the damage structural parts. Because the factors such as structural characteristics, defect types, failure mechanisms, installation design parameters, working load parameters, environmental influence parameters and the like of the pipeline are comprehensively considered, the defect condition and damage trend of the pipeline can be more accurately predicted by establishing a prediction model and an analysis tool, the potential problems of the pipeline can be found in advance, corresponding measures are taken for repairing or maintaining, and therefore the analysis effect of the pipeline defects is improved.

In one implementation manner of the present embodiment, as shown in fig. 2, step S104, that is, generating a defect prediction analysis model corresponding to an abnormal structural component by combining installation design parameters and workload parameters corresponding to the abnormal structural component, includes the following steps:

s201, carrying out stress analysis by combining the installation design parameters and the working load parameters, and generating stress analysis data corresponding to the abnormal structural component;

s202, judging whether a plurality of stress concentration areas exist in the abnormal structural component according to stress analysis data;

s203, if a plurality of stress concentration areas exist in the abnormal structural component, acquiring the stress magnitude and the stress direction corresponding to each stress concentration area;

s204, combining the stress magnitude and the stress direction to generate a predicted defect type corresponding to the stress concentration area;

s205, generating a defect prediction analysis model corresponding to the abnormal structural component according to the stress concentration region and the predicted defect type corresponding to the stress concentration region.

In step S201, the stress analysis includes the steps of: collecting installation design parameters, namely parameters including geometric dimensions, material characteristics, welding modes, supporting modes and the like of the pipeline, wherein the parameters are used for calculating initial stress states and stress distribution of the pipeline; stress calculation is carried out, the stress condition of the pipeline structural component is calculated by using a stress calculation method of finite element analysis or analysis method according to installation design parameters and working load parameters, and stress values of each structural component under different working conditions can be obtained through the stress calculation; stress analysis data are generated, the calculated stress values are arranged into a table or chart form, and each structural component and corresponding stress values including maximum stress, minimum stress, average stress and the like are listed. Meanwhile, the structural components can be divided into normal stress and abnormal stress according to the range of stress values.

The stress data can be obtained through a stress meter and an acoustic wave detection device. The stress meter is a device for measuring the internal stress of an object, the stress magnitude can be calculated by measuring the strain of the object, and the stress meter is arranged on a pipeline, so that the stress condition of the pipeline can be monitored in real time; the acoustic wave detection device can detect internal defects and stress conditions of the pipeline by sending acoustic wave signals and receiving reflected signals, and can infer the stress magnitude and stress direction of the pipeline by analyzing the characteristics of the acoustic wave signals.

In steps S202 to S203, the stress concentration region refers to a certain partial region in the abnormal structural member, the stress value of which is significantly higher than that of the surrounding region. Such stress concentrations may lead to problems of reduced strength, reduced fatigue life, crack initiation or propagation of structural components, and thus require special attention and handling.

In particular, the stress concentration areas are typically due to factors such as the geometry of the pipe structure, material properties, or stress conditions. The stress concentration region can be determined by stress analysis data obtained by a stress analysis method or a finite element analysis method. When the stress analysis is performed, the stress distribution condition of each region in the structural component can be calculated, and if the stress values of a plurality of local regions are found to be obviously higher than those of surrounding regions, the existence of a plurality of stress concentration regions can be judged.

For example, due to the geometry of the emulsion delivery pipe, a large stress concentration may occur at the curved portion. This is because at the bend, the liquid flow will generate centrifugal forces, resulting in a significantly higher stress value on the inner wall of the pipe than in other areas. Second, the connection portion of the pipe is also a stress concentration area. At the pipe connection, stress concentration occurs due to the difference of connection modes, such as flange connection or screw connection. The stress value at the joint is significantly higher than in other areas of the pipe.

Further, the stress magnitude of each stress concentration region can be obtained from the stress analysis data. The stress level of the region is indicative of the stress level experienced by the region and can be used to evaluate the stress condition of the region. The stress direction indicates the stress acting direction in the stress concentration region, and may be tensile stress, compressive stress, shear stress, or the like. Wherein, the analysis and judgment of the stress direction is helpful to obtain the stress state and possible defect type of the abnormal structural component of the pipeline.

For example, if the stress in a certain stress concentration area is large in magnitude and oriented in tensile stress, there may be a risk of cracking. As another example, if the stress in a certain stress concentration region is large in magnitude and is compressive in direction, there may be a risk of plastic deformation, and consideration is given to reinforcing the support of the region or changing the structural design.

In step S204 to step S205, in combination with the above analysis of the stress magnitude and the stress direction, the corresponding defect type of the corresponding concentrated region of the abnormal structural component of the current pipeline can be predicted.

In particular, the method of predicting defect types is generally based on the principle of mechanical properties and stress analysis of materials, i.e., analyzing stress distribution of stress concentration areas by establishing a mathematical model, and predicting the types of defects that may occur according to the stress magnitude and stress direction.

For example, for crack prediction, a fracture mechanics theory and a calculation method of stress intensity factor may be used to determine whether or not a crack will occur according to the stress magnitude and stress direction of the stress concentration region. For deformation and fatigue prediction, elastic mechanics and fatigue life theory can be used to analyze the deformation and fatigue performance of materials according to the stress magnitude and stress direction of the stress concentration region.

Further, a defect prediction analysis model may be generated based on the stress concentration regions and the corresponding defect types. The model can predict the type of defects and the development trend of the defects possibly occurring in the structural component by analyzing the characteristics of the stress concentration area and the performance parameters of the material.

For example, for a predictive analysis model of cracks, factors such as stress values of stress concentration areas, stress gradients, fracture toughness of materials, etc. can be added, and then the formation and propagation rates of cracks, as well as the life of structural components, can be predicted by building a mathematical model.

According to the mining pipeline defect analysis method provided by the embodiment, the stress area prediction analysis is carried out on the abnormal structural component, so that the potential defect problem of the pipeline due to abnormal stress can be found in advance, and further corresponding measures are taken for repairing or reinforcing, so that the safety and reliability analysis of the pipeline are improved.

In one implementation manner of this embodiment, as shown in fig. 3, step S204, that is, combining the stress magnitude and the stress direction, generates the predicted defect type corresponding to the stress concentration region further includes the following steps:

s301, acquiring corresponding damage mechanism data according to the stress magnitude and stress direction;

s302, combining damage mechanism data and stress analysis factors corresponding to abnormal structural components to generate corresponding prediction defects and induction probabilities corresponding to the prediction defects;

s303, combining the predicted defects and the induction probability corresponding to the predicted defects, and generating predicted defect types corresponding to the stress concentration areas.

In step S301, the failure mechanism data refers to data obtained by researching and analyzing a mechanism of failure of different pipe materials or structures under the action of external force or environment in the field of pipe installation design. It describes the destructive behavior and the destructive pattern of a material or structure under different stress conditions.

Wherein, the failure mode refers to the specific form and characteristics of the material or structure when being damaged by external force or environment. Such as fracture, plastic deformation, fatigue crack growth, etc. By analyzing the damage mechanism of the pipeline, the physical or chemical mechanism of the pipeline, including stress distribution, strain accumulation, fracture propagation and the like in the pipeline material, which can possibly be damaged, can be obtained.

In step S302, stress analysis factors include load magnitude, load direction, structural shape, material properties, and the like of the abnormal structural component. And analyzing stress analysis factors of the abnormal structural component, namely, carrying out stress analysis on the abnormal structural component, and determining stress conditions and stress distribution of the abnormal structural component.

Wherein, according to the damage mechanism data and stress analysis factors of the abnormal structural component, the possible defects of the current abnormal structural component can be predicted. And then combining a statistical method and reliability analysis, the induction probability of the corresponding predicted defect can be calculated. The method can be realized by a probability model, reliability analysis software and the like, and the evoked probability represents the probability of occurrence of the predicted defect under the given stress condition.

In step S303, according to the predicted defect and the corresponding probability of induction, the corresponding predicted defect type can be predicted and generated by combining the characteristics of the stress concentration region. For example, if the predicted defect is a crack and the stress concentrating region is a groove at one edge, the predicted defect type may be a crack at the groove.

Wherein, according to the predicted defect type and the characteristics of the stress concentration area, the formation reason and possible influence of the predicted defect type in the stress concentration area are explained. For example, if the predicted defect type is a crack at a groove, it may be explained that the crack is due to stress concentration at the groove, possibly resulting in a decrease in strength or damage of the structure. By creating a predicted defect type for the stress concentration region, engineers and designers can be helped to better understand potential problems in the structure and take corresponding action to repair or improve.

According to the mining pipeline defect analysis method provided by the embodiment, the possible damage forms and mechanisms of the abnormal structural components under different stress conditions can be known according to the damage mechanism data, the corresponding prediction defects can be generated by combining the damage mechanism data and stress analysis factors of the abnormal structural components, meanwhile, the specific prediction defect types in the corresponding stress concentration areas can be generated by combining the prediction defects and the induction probabilities corresponding to the prediction defects, and the possible defect types can be predicted more accurately by comprehensively considering the stress magnitude, the stress direction, the damage mechanism, the stress analysis factors and the induction probabilities, so that the analysis effect of the pipeline defects is improved.

In one implementation manner of the present embodiment, as shown in fig. 4, step S105, that is, obtaining, according to the defect prediction analysis model, a defect analysis report corresponding to the target working area by using the corresponding defect prediction indication item includes the following steps:

s401, acquiring corrected installation design parameters corresponding to the abnormal structural components according to the defect prediction analysis model;

s402, generating a parameter correction scheme corresponding to the abnormal structural component according to the corrected installation design parameters;

s403, if the number of parameter correction schemes is multiple, acquiring feasibility analysis data corresponding to each parameter correction scheme;

s404, combining the parameter correction scheme and feasibility analysis data corresponding to the parameter correction scheme, and generating a corresponding defect prediction indication item serving as a defect analysis report corresponding to the target working area.

In steps S401 to S402, a specific abnormal structural component within the target working area may be determined according to the result of the defect prediction analysis model. And determining the installation design parameters to be corrected according to the property characteristics of the abnormal structural component and the result of the defect prediction analysis model. The correction of the installation design parameters refers to adjusting or improving the original installation design parameters so as to solve the problem of abnormal structural components.

For example, if the abnormal structural component has vibration or deformation in the target working area, the corresponding corrected installation design parameters are that supporting structures or reinforcing materials can be added around the abnormal structural component so as to enhance the stability and rigidity of the pipeline.

Further, according to the corrected installation design parameters, a corresponding parameter correction scheme of the abnormal structural component can be generated. The parameter modification scheme includes a series of embodiments formed by adjusting parameters accordingly for the abnormal structural component of the pipeline.

In step S403 to step S404, if there are multiple parameter correction schemes currently, in order to improve the feasibility of the parameter correction schemes, feasibility analysis is performed on each parameter correction scheme currently, and corresponding feasibility analysis data is obtained.

Wherein, the feasibility analysis of the multiple parameter correction schemes refers to the evaluation and analysis of different parameter correction schemes to determine the feasibility and applicability of each scheme. Defect prediction indicators refer to the defects that may exist in a parameter correction scheme and the overall implementation effect used to predict and evaluate the feasibility analysis data, and the defect prediction indicators generally predict the overall implementation effect of the parameter correction scheme by analysis and modeling based on historical data and experience.

For example, for each parameter modification scheme, the following may be listed: the parameter correction scheme is that the installation position is adjusted, the feasibility analysis data is that a suitable low-temperature area is available for moving the pipeline, the defect prediction indication item is that the pipeline is suggested to be moved to the low-temperature area, so that the heating degree of abnormal structural components is reduced, but the problem that related connecting components are not matched after the pipeline is transferred exists. The defect prediction indicators described above may be used as part of the defect analysis report to illustrate the feasibility and advice of each parameter modification scheme.

According to the mining pipeline defect analysis method, parameter correction and design adjustment can be carried out on the abnormal structural component according to the defect prediction indication items so as to reduce and eliminate potential defect risks, meanwhile, scientific basis and guidance can be provided for feasibility analysis and generation of the defect prediction indication items, and feasibility and effectiveness of a correction scheme are ensured.

In one implementation manner of the present embodiment, as shown in fig. 5, in step S106, if the failure mechanism of the defect type is a working environment factor, the method further includes the following steps after obtaining the environment influence parameters corresponding to the target working area:

S501, if the environmental influence parameters are multiple, judging whether the environmental influence parameters have correlation influence;

s502, if the environmental parameter classes have correlation influence, acquiring corresponding target environmental parameter classes;

s503, forming a corresponding associated environment parameter group according to the target environment parameter class;

s504, generating an environment parameter associated damage distribution map corresponding to the pipeline according to the associated damage factors corresponding to the associated environment parameter groups.

In step S501 to step S502, if the environmental impact parameters in the current target working area are plural, in order to further analyze whether the current plural environmental impact parameters cause additional damage to the pipeline, it is determined whether there is a correlation effect between the environmental impact parameters.

In particular, if there may be a correlation effect between environmental impact parameters. This means that a change in one environmental impact parameter may have an impact on other environmental impact parameters and thus on the corrosion of the emulsion delivery pipe. In order to facilitate calibration analysis of these environmental impact parameters, the corresponding target environmental parameter classes are obtained and calibrated according to their attributes. For example, the environmental impact parameter is a high temperature, and the corresponding target environmental parameter class is an environmental temperature high temperature class.

For example, there is a correlation effect between temperature and humidity, i.e., as the temperature increases, the humidity in the air may increase, resulting in an increase in the moisture content in the emulsion. As such, the corrosiveness of the emulsion may increase, thereby exacerbating the corrosion of the pipeline.

In steps S503 to S504, the associated environmental parameter set refers to a set of environmental parameters that have an associated influence on the target environmental parameter class in the field of corrosion of the mining emulsion conveying pipeline environment. For example, if the target environmental parameter class is temperature and humidity, then the associated set of environmental parameters includes both temperature and humidity parameters. According to the associated damage factors, namely temperature and humidity, corresponding to the associated environment parameter sets, an environment parameter associated damage distribution map corresponding to the pipeline can be generated.

Wherein the environmental parameter-associated damage profile is a graph representing the extent of damage caused to the corrosion of the pipeline by different combinations of environmental parameters. In the environmental parameter-associated damage profile, the horizontal axis represents the range of values of the associated environmental parameter set, such as the actual measured range of values of temperature and humidity, and the vertical axis represents the degree of corrosion damage to the pipeline. By measuring and analyzing the corrosion damage levels of different combinations of environmental parameters, an environmental parameter-associated damage profile can be obtained. The extent of influence of different combinations of environmental parameters on the corrosion of the pipeline can be explained by means of the environmental parameter-dependent damage profile.

For example, certain combinations of environmental parameters may result in higher corrosion damage, while other combinations may result in lower corrosion damage. Such information may assist engineers and technicians in knowing the risk of corrosion of the pipeline under different environmental conditions and taking corresponding precautions and control measures to protect the integrity of the pipeline and extend the service life.

According to the mining pipeline defect analysis method, the influence of the corresponding environment of the target working area on the pipeline is comprehensively considered, the method is combined with defect analysis, the generation of the associated environment parameter group and the associated environment parameter damage distribution map can provide more accurate and comprehensive environment influence evaluation for the pipeline, the defect distribution and the risk area of the pipeline are accurately determined, and therefore the analysis effect of the pipeline defects is improved.

In one implementation manner of this embodiment, as shown in fig. 6, in step S502, if there is an association effect between environment parameter classes, the method further includes the following steps after obtaining the corresponding target environment parameter class:

s601, if the correlation influence between the target environment parameter classes is positive correlation, acquiring environment parameter independent variables and environment parameter dependent variables in the target environment parameter classes;

S602, generating a corresponding environment parameter warning item according to the environment parameter independent variable, the environment parameter dependent variable and the correlation coefficient between the environment parameter independent variable and the environment parameter dependent variable.

In step S601 to step S602, the environment parameter argument refers to a parameter that affects other environment parameters in the corrosion of the environment of the mine emulsion conveying pipeline; environmental parameter dependent variables refer to parameters that are affected by other environmental parameters.

The correlation coefficient between the environment parameter independent variable and the environment parameter dependent variable refers to the degree of correlation between the environment parameter independent variable and the environment parameter dependent variable, and if the correlation coefficient is higher, the influence of the environment parameter independent variable on the environment parameter dependent variable is larger.

For example, sulfides and metal sulfides, which react with metal pipes or pipe structural components to form metal sulfides, such as iron sulfides or copper sulfides, and the like, which cause the pipes and related components to accelerate the rate of stress corrosion cracking.

Secondly, the environmental parameter warning item is used for reminding engineers and technicians of the correlation influence between environmental parameters and taking corresponding measures to prevent and control corrosion damage. The generation of the environmental parameter alert item marks that the correlation coefficient between certain environmental parameter independent variables and environmental parameter dependent variables in the current target working area exceeds a conventional value, namely, the damage degree of the pipeline or related components may be aggravated along with the development of the environmental parameter independent variables and the environmental parameter dependent variables.

According to the mining pipeline defect analysis method provided by the embodiment, the environmental parameter warning item in the target working area can be generated according to the environmental parameter independent variable, the environmental parameter dependent variable and the correlation coefficient between the environmental parameter independent variable and the environmental parameter dependent variable, so that engineers and technicians can be timely reminded of the environmental parameters which are focused and considered in the pipeline defect analysis according to the environmental parameter warning item, and the analysis effect of corresponding environmental influence factors of the pipeline defects is improved.

In one implementation manner of this embodiment, as shown in fig. 7, in step S504, generating an environmental parameter associated damage distribution map corresponding to the pipeline according to the associated damage factor corresponding to the associated environmental parameter set includes the following steps:

s701, determining the damage development stage of the pipeline under the action of the associated damage factors according to the damage development process corresponding to the associated damage factors;

s702, combining the associated damage factors and the damage development stages corresponding to the associated damage factors to generate an environment parameter associated damage distribution map corresponding to the pipeline.

In steps S701 to S702, the damage development process corresponding to the associated damage factor refers to the time-dependent change of the damage degree of the pipeline or the related structural component by the different damage factors under the specific environmental conditions. In particular, the associated damage factor refers to various factors related to damage to an object or system, such as temperature, humidity, pressure, chemical concentration, etc., which and the specific reaction generated between them can have varying degrees of influence on the performance, structure or function of the pipeline, resulting in the occurrence and development of damage.

In particular, the lesion development process can be divided into different phases, namely an initial phase: under ambient conditions, the pipe begins to be damaged, but to a lesser extent, without significantly affecting its performance or function; acceleration phase: over time, the damage degree gradually increases, obvious influence is started to the performance or the function of the pipeline, and the development speed of damage is increased; stabilization phase: the damage degree reaches a certain stable state, the performance or the function of the pipeline is greatly influenced, and the basic working state can be maintained; and (3) failure stage: the damage reaches a certain critical point, the pipeline cannot continue to work normally, and the performance or function is completely lost.

Further, according to the damage development process corresponding to the specific associated damage factor, the specific damage development stage of the current pipeline under the action of the associated damage factor can be determined by comparing the damage development process with the actual state of the current pipeline.

And secondly, according to the obtained associated damage factors and corresponding specific damage development stages, a corresponding associated damage distribution diagram can be drawn, and the influence degree of the change of the associated damage factors on the corrosion of the pipeline in different damage development stages can be analyzed through the associated damage distribution diagram. Meanwhile, according to the distribution condition of the graph, the corrosion risk of the pipeline under different environmental parameters can be estimated, and a reference is provided for corrosion protection. The development rule of the pipeline corrosion is well understood and analyzed, and the development rule is favorable for formulating effective corrosion protection strategies and measures.

According to the mining pipeline defect analysis method, the damage condition of the pipeline under the action of the associated damage factors can be intuitively displayed according to the environmental parameter associated damage distribution map, engineers and technicians are helped to better understand and evaluate the health condition of the pipeline, and weak links and high-risk areas of the current pipeline can be timely found, so that the analysis effect of the pipeline defects is improved.

The embodiment of the application discloses a mining pipeline defect analysis system, as shown in fig. 8, comprising:

the region acquisition module 1 is used for acquiring a target working region corresponding to the pipeline according to the structural characteristics of the pipeline;

the defect acquisition module 2 is used for acquiring a corresponding defect type if the target working area has a pipeline defect;

the abnormal component acquisition module 3 is used for acquiring an abnormal structural component corresponding to the pipeline if the failure mechanism of the defect type is improper in installation design;

the predicted defect analysis module 4 is used for generating a defect predicted analysis model corresponding to the abnormal structural component by combining the installation design parameter and the working load parameter corresponding to the abnormal structural component;

the first defect report generating module 5 is used for acquiring a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area according to the defect prediction analysis model;

The environmental factor obtaining module 6 is used for obtaining environmental influence parameters corresponding to the target working area if the failure mechanism of the defect type is a working environmental factor;

the predicted damage analysis module 7 generates a predicted damage trend graph of the corresponding structure part of the pipeline according to the damage coefficient corresponding to the environmental impact parameter;

and the second defect report generating module 8 is used for generating a pipeline damage prediction distribution table corresponding to the target working area as a defect analysis report corresponding to the target working area by combining the structural part and the predicted damage trend graph corresponding to the structural part.

By adopting the technical scheme, according to the identification analysis of the structural characteristics of the pipeline by the area acquisition module 1, the target working areas corresponding to the pipeline can be acquired in sequence so as to conveniently carry out real-time positioning monitoring on each conveying node of the pipeline, if the failure mechanism of the defect type is improper in installation design, in order to strengthen the analysis of the defect of the pipeline caused by abnormal installation design, a corresponding defect prediction analysis model is generated by combining the installation design parameters of corresponding abnormal structural components and the working load parameters of the current pipeline by the prediction defect analysis module 4 and is used for predicting the possible defect situation of the abnormal structural components, then a defect analysis report which can be specifically referred to by related personnel is generated by the first defect report generation module 5 according to the prediction indication of the specific defect situation in the defect prediction analysis model, if the failure mechanism of the defect type is a working environment factor, in order to analyze the actual damage of the pipeline which specific environment influence parameters are received, the corresponding damage coefficient of the corresponding environment influence parameters and the predicted trend map of the damaged structural parts are combined by the prediction damage analysis module 7, and the corresponding damage report table is generated by the second defect report generation module 8 as the corresponding prediction analysis report of the specific damage distribution of the relevant personnel. Because the factors such as structural characteristics, defect types, failure mechanisms, installation design parameters, working load parameters, environmental influence parameters and the like of the pipeline are comprehensively considered, the defect condition and damage trend of the pipeline can be more accurately predicted by establishing a prediction model and an analysis tool, the potential problems of the pipeline can be found in advance, corresponding measures are taken for repairing or maintaining, and therefore the analysis effect of the pipeline defects is improved.

It should be noted that, the mining pipeline defect analysis system provided by the embodiment of the present application further includes each module and/or the corresponding sub-module corresponding to the logic function or the logic step of any one of the foregoing mining pipeline defect analysis methods, so that the same effects as each logic function or logic step are achieved, and detailed descriptions thereof are omitted herein.

The embodiment of the application also discloses a terminal device which comprises a memory, a processor and computer instructions which are stored in the memory and can run on the processor, wherein when the processor executes the computer instructions, any mining pipeline defect analysis method in the embodiment is adopted.

The terminal device may be a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes, but is not limited to, a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.

The processor may be a Central Processing Unit (CPU), or of course, according to actual use, other general purpose processors, digital Signal Processors (DSP), application Specific Integrated Circuits (ASIC), ready-made programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., and the general purpose processor may be a microprocessor or any conventional processor, etc., which is not limited in this respect.

The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a Smart Memory Card (SMC), a secure digital card (SD), or a flash memory card (FC) provided on the terminal device, or the like, and may be a combination of the internal storage unit of the terminal device and the external storage device, where the memory is used to store computer instructions and other instructions and data required by the terminal device, and the memory may be used to temporarily store data that has been output or is to be output, which is not limited by the present application.

Any one of the mining pipeline defect analysis methods in the embodiment is stored in a memory of the terminal equipment through the terminal equipment, and is loaded and executed on a processor of the terminal equipment, so that the mining pipeline defect analysis method is convenient to use.

The embodiment of the application also discloses a computer readable storage medium, and the computer readable storage medium stores computer instructions, wherein when the computer instructions are executed by a processor, any mining pipeline defect analysis method in the embodiment is adopted.

The computer instructions may be stored in a computer readable medium, where the computer instructions include computer instruction codes, where the computer instruction codes may be in a source code form, an object code form, an executable file form, or some middleware form, etc., and the computer readable medium includes any entity or device capable of carrying the computer instruction codes, a recording medium, a usb disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a Random Access Memory (RAM), an electrical carrier signal, a telecommunication signal, a software distribution medium, etc., where the computer readable medium includes but is not limited to the above components.

Any of the mining pipeline defect analysis methods in the embodiments above is stored in the computer-readable storage medium through the computer-readable storage medium, and is loaded and executed on a processor, so as to facilitate the storage and application of the method.

The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.

Claims

1. The mining pipeline defect analysis method is characterized by comprising the following steps of:

2. The mining pipeline defect analysis method according to claim 1, wherein generating the defect prediction analysis model corresponding to the abnormal structural component by combining the installation design parameter and the work load parameter corresponding to the abnormal structural component comprises the following steps:

3. The mining pipe defect analysis method of claim 2, wherein generating the predicted defect type corresponding to the stress concentration region in combination with the stress magnitude and the stress direction further comprises the steps of:

4. The mining pipeline defect analysis method according to claim 1, wherein obtaining a corresponding defect prediction indicator as a defect analysis report corresponding to the target working area according to the defect prediction analysis model comprises the following steps:

5. The mining pipeline defect analysis method according to claim 1, wherein if the failure mechanism of the defect type is a working environment factor, the method further comprises the following steps after obtaining an environment influence parameter corresponding to the target working area:

6. The mining pipeline defect analysis method according to claim 5, further comprising the steps of, after obtaining the corresponding target environmental parameter class if there is the correlation influence between the environmental parameter classes:

7. The mining pipeline defect analysis method according to claim 5, wherein generating the associated damage profile of the environment parameter corresponding to the pipeline according to the associated damage factor corresponding to the associated environment parameter group comprises the steps of:

8. A mining pipeline defect analysis system, comprising:

the region acquisition module (1) is used for acquiring a target working region corresponding to the pipeline according to the structural characteristics of the pipeline;

the defect acquisition module (2) is used for acquiring a corresponding defect type if the target working area has a pipeline defect;

The abnormal component acquisition module (3) is used for acquiring an abnormal structural component corresponding to the pipeline if the failure mechanism of the defect type is improper in installation design;

the prediction defect analysis module (4) is used for generating a defect prediction analysis model corresponding to the abnormal structural component by combining the installation design parameter and the working load parameter corresponding to the abnormal structural component;

a first defect report generating module (5) for acquiring a corresponding defect prediction indication item as a defect analysis report corresponding to the target working area according to the defect prediction analysis model;

the environment factor acquisition module (6) is used for acquiring environment influence parameters corresponding to the target working area if the failure mechanism of the defect type is a working environment factor;

the predicted damage analysis module (7) generates a predicted damage trend graph of the corresponding structural part of the pipeline according to the damage coefficient corresponding to the environmental impact parameter;

and a second defect report generating module (8) for generating a pipeline damage prediction distribution table corresponding to the target working area as the defect analysis report corresponding to the target working area by combining the structural part and the predicted damage trend graph corresponding to the structural part.

9. A terminal device comprising a memory and a processor, wherein the memory has stored therein computer instructions executable on the processor, and wherein the processor, when loaded and executing the computer instructions, employs a mining pipeline defect analysis method according to any one of claims 1 to 7.

10. A computer readable storage medium having stored therein computer instructions which, when loaded and executed by a processor, employ a mining pipeline defect analysis method according to any one of claims 1 to 7.