CN114840935B - Pipeline repairing method, device, equipment and storage medium - Google Patents
Pipeline repairing method, device, equipment and storage medium Download PDFInfo
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- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
- F16L55/00—Devices or appurtenances for use in, or in connection with, pipes or pipe systems
- F16L55/16—Devices for covering leaks in pipes or hoses, e.g. hose-menders
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The application discloses a pipeline repairing method, device, equipment and storage medium, and belongs to the technical field of repairing. The method includes dividing the pipeline into a plurality of pipe sections; obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections; determining repair parameters of each pipe section based on the damage characteristic parameters of each pipe section; and repairing each pipe section according to the repairing parameters, wherein the difference value between the corresponding bearing parameters of each repaired pipe section is smaller than a preset threshold value. That is, in the application, based on the repair parameters corresponding to each pipe section, each pipe section is repaired, so that the difference value between the bearing parameters corresponding to each repaired pipe section is smaller than a preset threshold value, the residual service lives corresponding to each pipe section after the damaged pipe is repaired are ensured to be located in the same section, the situation that part of the pipe is excessively repaired is avoided, the situation that part of the pipe is repeatedly repaired is avoided, and the repair precision of the pipe is improved.
Description
Technical Field
The present disclosure relates to the field of repair technologies, and in particular, to a method, an apparatus, a device, and a storage medium for repairing a pipeline.
Background
In actual engineering, when repairing a damaged pipeline by adopting a lining method, the damaged pipeline is generally regarded as a whole no matter the size of the damaged pipeline, and the damaged pipeline is repaired by adopting the same group of repairing parameters. However, the conditions and the degrees of damage of the areas in the pipeline are different from each other due to different factors such as address conditions and surrounding environment conditions, if the damaged pipeline is repaired by adopting the same group of repair parameters, the bearing load of the repaired pipeline part area is insufficient to support the service life of the pipeline to reach the expected service life, the service life of the pipeline needs to be repaired for multiple times to reach the expected service life, the service life of the repaired pipeline part area bearing the load is far longer than the expected service life, the pipeline is excessively repaired, and the repair precision of the pipeline is reduced.
Disclosure of Invention
The main purpose of the application is to provide a pipeline repairing method, a device, equipment and a storage medium, and aims to solve the technical problem of low pipeline repairing precision when the pipeline is repaired by adopting the existing pipeline repairing method.
In order to achieve the above object, the present application provides a method for repairing a pipeline, including the steps of:
dividing the pipeline into a plurality of pipe sections;
obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections;
determining a repair parameter of each pipe section based on the damage characteristic parameter of each pipe section and the environmental impact parameter of each pipe section;
and repairing each pipe section according to the repairing parameters, wherein the difference value between the corresponding bearing parameters of each repaired pipe section is smaller than a preset threshold value.
Optionally, when the breakage feature parameter includes a deformation amount, the step of obtaining the breakage feature parameter for each of the plurality of pipe sections includes:
identifying the current information of the mark points in the pipe section image corresponding to each pipe section;
and determining the deformation amount of each pipe section based on the current information of the marked point and the original information of the marked point.
Optionally, the step of determining the deformation amount of each pipe section based on the current information of the mark point and the original information of the mark point includes:
constructing a first mark graph based on the current information of the mark points;
constructing a second mark graph based on the original information of the mark points;
under the condition that the gravity center points of the first mark graph and the second mark graph are coincident, calculating the deformation of the mark points, and determining the deformation of each pipe section according to the deformation of the mark points;
and under the condition that the gravity center points of the first mark graph and the second mark graph are not coincident, calculating the deformation quantity of the gravity center points, and determining the deformation quantity of each pipe section according to the deformation quantity of the gravity center points.
Optionally, when the breakage feature parameter includes a gap value, the step of obtaining the breakage feature parameter for each of the plurality of tube segments includes:
identifying the region where the gap in the pipe section infrared image corresponding to each pipe section is located;
and calculating the area value of the area where the gap is located, and taking the area value as the gap value of each pipe section.
Optionally, the step of determining the repair parameter of each pipe section based on the breakage feature parameter of each pipe section and the environmental impact parameter of each pipe section includes:
inputting the damage characteristic parameters of each pipe section and the environmental impact parameters of each pipe section into a repair parameter budget model, and calculating to obtain the repair budget parameters of each pipe section;
determining the pipe section with the highest damage degree as a reference pipe section based on the damage characteristic parameters of each pipe section;
and correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section.
Optionally, the step of correcting the repair budget parameter of each pipe section according to the repair budget parameter of the reference pipe section, the breakage feature parameter of the reference pipe section, the repair budget parameter of each pipe section and the breakage feature parameter of each pipe section to obtain the repair parameter of each pipe section includes:
calculating the ratio of the repair budget parameter of the reference pipe section to the repair budget parameter of each pipe section as a first ratio;
calculating the ratio of the breakage characteristic parameter of the reference pipe section to the breakage characteristic parameter of each pipe section as a second ratio;
when the difference value between the first ratio and the second ratio is smaller than or equal to a preset ratio threshold value, taking the repair budget parameter of each pipe section as the repair parameter of each pipe section;
and when the difference value between the first ratio and the second ratio is larger than a preset ratio threshold value, determining the repair parameter of each pipe section based on the second ratio and the repair budget parameter of the reference pipe section.
Optionally, the method for acquiring the repair parameter budget model includes:
establishing a sample data set consisting of damage characteristic parameters, environment influence parameters and repair parameters of a plurality of repaired pipe sections;
dividing the sample data set to obtain a training data set and a verification data set;
training a preset basic model by using the training data set to obtain a preliminary repair parameter budget model;
verifying the preliminary repair parameter budget model by using the verification data set to obtain a verification result;
determining whether the verification result meets a preset condition;
if the initial repair parameter budget model meets the preset condition, carrying out parameter adjustment on the preset basic model based on the verification result, and returning to the step of dividing the sample data set to obtain a training data set and a verification data set until the verification result meets the preset condition, wherein the initial repair parameter budget model is used as a repair parameter budget model.
In addition, in order to achieve the above object, the present application further provides a pipe repair device, including:
the pretreatment module is used for dividing the pipeline into a plurality of pipeline sections;
the characteristic parameter acquisition module is used for acquiring the damage characteristic parameter of each pipe section in the plurality of pipe sections;
the repair parameter determining module is used for determining repair parameters of each pipe section based on the damage characteristic parameters of each pipe section and the environmental influence parameters of each pipe section;
and the repair module is used for repairing each pipe section according to the repair parameters, wherein the difference value between the bearing parameters corresponding to each repaired pipe section is smaller than a preset threshold value.
In addition, to achieve the above object, the present application further provides a pipe repair apparatus, including: a memory, a processor, and a pipe repair program stored on the memory and executable on the processor, the pipe repair program configured to implement the steps of the pipe repair method as described above.
In addition, in order to achieve the above object, the present application further provides a storage medium having stored thereon a pipe repair program which, when executed by a processor, implements the steps of the pipe repair method as described above.
Compared with the prior art, when the pipeline is repaired by adopting the existing pipeline repairing method, the pipeline repairing precision is low, and the pipeline repairing method divides the pipeline into a plurality of pipeline sections; obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections; determining repair parameters of each pipe section based on the damage characteristic parameters of each pipe section; and repairing each pipe section according to the repairing parameters, wherein the difference value between the corresponding bearing parameters of each repaired pipe section is smaller than a preset threshold value. In the application, the damaged pipeline is divided into a plurality of pipeline sections, the repair parameters corresponding to each pipeline section are determined, each pipeline section is repaired based on the repair parameters corresponding to each pipeline section, the difference value between the bearing parameters corresponding to each repaired pipeline section is smaller than a preset threshold value, the residual service lives corresponding to each pipeline section after the damaged pipeline is repaired are ensured to be located in the same section, the situation that part of the pipeline is excessively repaired is avoided, the situation that part of the pipeline is repeatedly repaired is avoided, and the repair precision of the pipeline is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic structural diagram of a pipeline rehabilitation device of a hardware operating environment according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a first embodiment of a pipeline repair method according to the present application;
fig. 3 is a schematic flow chart of a first embodiment of the pipe repair device of the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a pipeline repairing device in a hardware running environment according to an embodiment of the present application.
As shown in fig. 1, the pipe repair apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the pipeline rehabilitation device, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a data storage module, a network communication module, a user interface module, and a pipe repair program may be included in the memory 1005 as one type of storage medium.
In the pipe repair device shown in fig. 1, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the pipe repair device of the present application may be disposed in the pipe repair device, where the pipe repair device calls a pipe repair program stored in the memory 1005 through the processor 1001, and executes the pipe repair method provided in the embodiment of the present application.
An embodiment of the present application provides a method for repairing a pipeline, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the method for repairing a pipeline.
In this embodiment, the pipe repair method includes:
s10, dividing a pipeline into a plurality of pipe sections;
step S20, obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections;
step S30, determining repair parameters of each pipe section based on the damage characteristic parameters of each pipe section and the environmental impact parameters of each pipe section;
and step S40, repairing each pipe section according to the repairing parameters, wherein the difference value between the bearing parameters corresponding to each repaired pipe section is smaller than a preset threshold value.
Compared with the prior art, when the existing pipeline repairing method is adopted to repair the pipeline, the pipeline repairing precision is low, the damaged pipeline is divided into a plurality of pipeline sections, repairing parameters corresponding to each pipeline section are determined, each pipeline section is repaired based on the repairing parameters corresponding to each pipeline section, the difference value between the bearing parameters corresponding to each repaired pipeline section is smaller than a preset threshold value, the residual service life corresponding to each pipeline section after the damaged pipeline is repaired is ensured to be located in the same section, the situation of excessive repairing of part of the pipeline is avoided, the situation of repeated repairing of part of the pipeline is avoided, and the repairing precision of the pipeline is improved.
The method comprises the following specific steps:
step S10, dividing the pipeline into a plurality of pipe sections.
In this embodiment, there are a plurality of marking points on the pipeline, and the division of the pipeline into a plurality of pipe sections is based on ensuring that there is at least one marking point in each pipe section.
If there is at least one marking point in each pipe section after the pipe is equally divided into a plurality of pipe sections according to the total length of the pipe, it is preferable that the pipe be equally divided into a plurality of pipe sections.
If a turning point of the pipeline exists in the pipe section and the turning point is used as a dividing node, and at least one marking point exists in each pipe section obtained after the pipe section is further divided, the pipe section is further divided according to the turning point.
And step S20, obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections.
The damage characteristic parameters at least comprise deformation quantity and gap value, wherein the deformation quantity refers to deformation caused by external force applied to the pipeline, and the gap value refers to area of a crack on the pipeline.
When the breakage feature parameter is a deformation amount, the step of obtaining the breakage feature parameter of each of the plurality of pipe sections specifically includes:
step S21a, identifying the current information of the marking point in the pipe section image corresponding to each pipe section.
In this embodiment, the mark point is a noctilucent mark point, and the mark point adopts noctilucent design, can work in dark environment for a long time, and the luminance decay speed is slow.
The pipe section image corresponding to each pipe section can be acquired through a camera.
The nature of image recognition is a mapping problem of pattern space to category space. The current image recognition method mainly comprises statistical pattern recognition, structural pattern recognition and fuzzy pattern recognition, and a person skilled in the art can select a proper algorithm from the existing various image recognition algorithms according to the need to recognize the marking points in the pipe section image.
Step S22a, determining the deformation amount of each pipe section based on the current information of the mark point and the original information of the mark point.
In this embodiment, the current information of the marker point refers to the position information of the marker point at the time when the pipe section image is acquired, and is characterized in a coordinate form; the original information of the marking point refers to the position information of the marking point when being installed on the pipe section, and is characterized in terms of coordinates.
When only one mark point exists in the pipe section, determining the deformation amount of each pipe section based on the current information of the mark point and the original information of the mark point specifically comprises the following steps:
and calculating the position change distance of the mark point according to the current information of the mark point and the original information of the mark point, and taking the position change distance as the deformation of each pipe section.
When a plurality of mark points exist in the pipe section, determining the deformation quantity of each pipe section based on the current information of the mark points and the original information of the mark points specifically comprises the following steps:
step S221a, constructing a first mark graph based on the current information of the mark points.
Randomly selecting one mark point from a plurality of mark points as an initial mark point, searching the mark point closest to the initial mark point from the remaining unnamed mark points as a second mark point, searching the mark point closest to the second mark point from the remaining unnamed mark points as a third mark point, repeating the steps until all marks are named, and sequentially connecting the mark points according to the names of the mark points to obtain a first mark pattern. For example, the start marker is connected to a second marker, the second marker is connected to a third marker, …, and the end marker is connected to the start marker.
Step S222a, constructing a second mark graph based on the original information of the mark points.
In this embodiment, the method for constructing the second marker pattern is the same as the method for constructing the first marker pattern, and will not be described in detail here.
Step S223a, calculating the deformation of the mark points when the center of gravity points of the first mark pattern and the second mark pattern coincide, and determining the deformation of each pipe section according to the deformation of the mark points.
In this embodiment, calculating the deformation amount of the mark point may be calculating a position change distance of the mark point according to the current information of the mark point and the original information of the mark point, as the deformation amount of the mark point.
In this embodiment, determining the deformation amount of each pipe section according to the deformation amount of the mark point may be calculating an average value of the deformation amounts of the mark points in each pipe section, and taking the average value as the deformation amount of each pipe section.
Step S224a, calculating the deformation amount of the center of gravity point when the center of gravity points of the first and second mark patterns do not coincide, and determining the deformation amount of each pipe section according to the deformation amount of the center of gravity point.
In this embodiment, the calculating the deformation amount of the centroid point may be calculating a distance value between the centroid point of the first marker pattern and the centroid point of the second marker pattern as the deformation amount of the centroid point based on the position information of the centroid point of the first marker pattern and the position information of the centroid point of the second marker pattern.
In graphics, the center of gravity of the graphics is the centroid, so that the position information of the center of gravity point of the first mark graphics and the position information of the center of gravity point of the second mark graphics can be calculated by a person skilled in the art through centroid formulas, and different graphics correspond to different centroid formulas.
When the breakage feature parameter is a gap value, the step of obtaining the breakage feature parameter of each of the plurality of pipe sections specifically includes:
and step S21b, identifying the region where the gap in the pipe section infrared image corresponding to each pipe section is located.
When gaps appear in the pipe section, the temperature of the region where the gaps are located in the pipe section infrared image is the temperature of air, but not the temperature of the pipe section material, and the two temperatures are different, and the region where the gaps are located in the pipe section infrared image can be identified and obtained according to the difference of the temperature display colors in the pipe section infrared image.
And S22b, calculating the area value of the area where the gap is located, and taking the area value as the gap value of each pipe section.
When a plurality of slits are present in the pipe section, the maximum area value is used as the slit value of each pipe section.
And step S30, determining the repair parameters of each pipe section based on the damage characteristic parameters of each pipe section and the environment influence parameters of each pipe section.
In this embodiment, the step of determining the repair parameter of each pipe section based on the breakage feature parameter of each pipe section specifically includes:
and S31, inputting the damage characteristic parameters of each pipe section into a repair parameter budget model, and calculating to obtain the repair budget parameters of each pipe section.
The method for acquiring the repair parameter budget model comprises the following steps:
a1, establishing a sample data set consisting of damage characteristic parameters, environment influence parameters and repair parameters of a plurality of repaired pipe sections;
a2, dividing the sample data set to obtain a training data set and a verification data set;
step A3, training a preset basic model by using the training data set to obtain a preliminary repair parameter budget model;
step A4, verifying the preliminary repair parameter budget model by using the verification data set to obtain a verification result;
step A5, determining whether the verification result meets a preset condition;
and step A6, if the verification result is not met, carrying out parameter adjustment on the preset basic model based on the verification result, and returning to the step of dividing the sample data set to obtain a training data set and a verification data set until the verification result meets the preset condition, and taking the preliminary repair parameter budget model as a repair parameter budget model.
It should be noted that the data in the verification data set is not identical to the data in the training data set. For example, in this embodiment the division may be made in a 7:3 ratio, i.e., seventy percent of the data in the sample data set is used as the training data set and the remaining thirty percent of the data is used to validate the data set. Similarly, the data may be divided according to a ratio of 8:2 or 6:4, where the dividing ratio may be adjusted according to the number of data in the sample data set, and the larger the number of data in the sample data set, the smaller the ratio difference, that is, the ratio may be adjusted appropriately while ensuring that there is enough training data set.
Specifically, determining whether the verification result satisfies the preset condition may be achieved by:
and verifying damage characteristic parameters and environment influence parameters in each group of data in the data set, inputting the damage characteristic parameters and the environment influence parameters into a preliminary repair parameter budget model, outputting a repair budget parameter verification value after the preliminary repair parameter budget model is calculated, and comparing the repair budget parameter verification value with repair parameters in the corresponding group of data to obtain a difference comparison result. The steps described above are performed by traversing each set of data in the validation dataset. And screening to obtain a data group with a difference comparison result larger than a preset difference value, and counting the number of the data group. The ratio of the number of groups of statistically derived data groups to the total number of groups of data groups in the validation dataset is calculated. Judging whether the ratio is larger than or equal to a preset duty ratio preset value, if so, indicating that the preliminary repair parameter budget model verification is not passed; otherwise, if not, the preliminary repair parameter budget model is verified, and the preliminary repair parameter budget model is used as a repair parameter budget model.
And step S32, determining the pipe section with the highest damage degree as a reference pipe section based on the damage characteristic parameters of each pipe section.
In this embodiment, the breakage feature parameter includes a deformation amount and a gap value, and determining, based on the breakage feature parameter of each pipe section, the pipe section with the highest breakage degree as the reference pipe section may be:
determining the deformation degree of each pipe section according to a preset mapping relation between deformation amounts and deformation degrees;
determining the crack depth of each pipe section according to a mapping relation between a preset gap value and the crack depth;
and carrying out weighted calculation on the deformation degree and the crack depth to obtain the damage degree of each pipe section, and selecting the pipe section with the highest damage degree as a reference pipe section.
Wherein, the deformation amount and the deformation degree are in positive correlation mapping relation, namely, the larger the deformation amount is, the larger the deformation degree is; the gap value and the crack depth form a positive correlation mapping relation, namely, the larger the gap value is, the larger the crack depth is.
And step S33, correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section.
The method specifically comprises the steps of correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section, wherein the method specifically comprises the following steps:
the method specifically comprises the steps of correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section, wherein the method specifically comprises the following steps:
calculating the ratio of the repair budget parameter of the reference pipe section to the repair budget parameter of each pipe section as a first ratio;
calculating the ratio of the breakage characteristic parameter of the reference pipe section to the breakage characteristic parameter of each pipe section as a second ratio;
when the difference value between the first ratio and the second ratio is smaller than or equal to a preset ratio threshold value, taking the repair budget parameter of each pipe section as the repair parameter of each pipe section;
and when the difference value between the first ratio and the second ratio is larger than a preset ratio threshold value, determining the repair parameter of each pipe section based on the second ratio and the repair budget parameter of the reference pipe section.
In this embodiment, the determining the repair parameter of each pipe section based on the second ratio and the repair budget parameter of the reference pipe section may be calculating the repair parameter of the pipe section by multiplying the second ratio by the repair budget parameter of the reference pipe section.
And step S40, repairing each pipe section according to the repairing parameters, wherein the difference value between the bearing parameters corresponding to each repaired pipe section is smaller than a preset threshold value.
An embodiment of the present application provides a pipe repair device, referring to fig. 3, and fig. 3 is a schematic flow chart of a first embodiment of the pipe repair device of the present application.
In this embodiment, the pipe repair device includes:
a preprocessing module 10 for dividing the pipeline into a plurality of pipe sections;
a characteristic parameter obtaining module 20, configured to obtain a breakage characteristic parameter of each of the plurality of pipe sections;
a repair parameter determination module 30, configured to determine a repair parameter of each pipe section based on the breakage feature parameter of each pipe section and the environmental impact parameter of each pipe section;
and the repairing module 40 is configured to repair each pipe section according to the repairing parameters, where a difference value between the respective corresponding bearing parameters of each repaired pipe section is smaller than a preset threshold value.
Optionally, when the breakage feature parameter includes a deformation amount, the feature parameter acquisition module includes:
the first identification unit is used for identifying the current information of the mark points in the pipe section image corresponding to each pipe section;
and the deformation amount determining unit is used for determining the deformation amount of each pipe section based on the current information of the marking point and the original information of the marking point.
Optionally, the deformation amount determining unit includes:
a first graph construction subunit, configured to construct a first marker graph based on current information of the marker points;
a second graph construction subunit, configured to construct a second marked graph based on the original information of the marked points;
deformation amount determination subunit, configured to implement:
under the condition that the gravity center points of the first mark graph and the second mark graph are coincident, calculating the deformation of the mark points, and determining the deformation of each pipe section according to the deformation of the mark points;
and under the condition that the gravity center points of the first mark graph and the second mark graph are not coincident, calculating the deformation quantity of the gravity center points, and determining the deformation quantity of each pipe section according to the deformation quantity of the gravity center points.
Optionally, when the breakage feature parameter includes a gap value, the feature parameter acquisition module includes:
the second identification unit is used for identifying the area where the gap in the pipe section infrared image corresponding to each pipe section is located;
and the gap value determining unit is used for calculating the area value of the area where the gap is located and taking the area value as the gap value of each pipe section.
Optionally, the repair parameter determination module includes:
the repair budget parameter determining unit is used for inputting the damage characteristic parameter of each pipe section and the environmental influence parameter of each pipe section into the repair parameter budget model, and calculating to obtain the repair budget parameter of each pipe section;
a reference pipe section obtaining unit, configured to determine, based on the breakage characteristic parameter of each pipe section, a pipe section with the highest breakage degree as a reference pipe section;
and the repair parameter determining unit is used for correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section.
Optionally, the repair parameter determination unit includes:
a first ratio determining subunit, configured to calculate, as a first ratio, a ratio of the repair budget parameter of the reference pipe section to the repair budget parameter of each pipe section;
a second ratio determining subunit, configured to calculate, as a second ratio, a ratio of the breakage feature parameter of the reference pipe section to the breakage feature parameter of each pipe section;
a repair parameter correction determining subunit, configured to implement:
when the difference value between the first ratio and the second ratio is smaller than or equal to a preset ratio threshold value, taking the repair budget parameter of each pipe section as the repair parameter of each pipe section;
and when the difference value between the first ratio and the second ratio is larger than a preset ratio threshold value, determining the repair parameter of each pipe section based on the second ratio and the repair budget parameter of the reference pipe section.
Optionally, the pipeline repairing device further comprises a model training module, wherein the model training module is used for realizing:
establishing a sample data set consisting of damage characteristic parameters, environment influence parameters and repair parameters of a plurality of repaired pipe sections;
dividing the sample data set to obtain a training data set and a verification data set;
training a preset basic model by using the training data set to obtain a preliminary repair parameter budget model;
verifying the preliminary repair parameter budget model by using the verification data set to obtain a verification result;
determining whether the verification result meets a preset condition;
if the initial repair parameter budget model meets the preset condition, carrying out parameter adjustment on the preset basic model based on the verification result, and returning to the step of dividing the sample data set to obtain a training data set and a verification data set until the verification result meets the preset condition, wherein the initial repair parameter budget model is used as a repair parameter budget model.
The specific implementation manner of the pipeline repairing device is basically the same as that of each embodiment of the pipeline repairing method, and is not repeated here.
The embodiment of the application also provides a storage medium, wherein the storage medium stores a pipeline restoration program, and the pipeline restoration program realizes the steps of the pipeline restoration method when being executed by a processor.
The specific implementation manner of the storage medium is basically the same as that of each embodiment of the pipeline repairing method, and is not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) as described above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method described in the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.
Claims (7)
1. A method of repairing a pipe, the method comprising the steps of:
dividing the pipeline into a plurality of pipe sections;
obtaining damage characteristic parameters of each pipe section in the plurality of pipe sections;
determining a repair parameter of each pipe section based on the damage characteristic parameter of each pipe section and the environmental impact parameter of each pipe section;
repairing each pipe section according to the repairing parameters, wherein the difference value between the corresponding bearing parameters of each repaired pipe section is smaller than a preset threshold value;
when the breakage feature parameter includes a deformation amount, the step of obtaining the breakage feature parameter for each of the plurality of tube segments includes:
identifying the current information of the mark points in the pipe section image corresponding to each pipe section;
determining the deformation of each pipe section based on the current information of the mark point and the original information of the mark point;
when the breakage feature parameter includes a gap value, the step of obtaining the breakage feature parameter for each of the plurality of tube segments includes:
identifying the region where the gap in the pipe section infrared image corresponding to each pipe section is located;
calculating the area value of the area where the gap is located, and taking the area value as the gap value of each pipe section;
the step of determining the repair parameter of each pipe section based on the breakage feature parameter of each pipe section and the environmental impact parameter of each pipe section includes:
inputting the damage characteristic parameters of each pipe section and the environmental impact parameters of each pipe section into a repair parameter budget model, and calculating to obtain the repair budget parameters of each pipe section;
determining the pipe section with the highest damage degree as a reference pipe section based on the damage characteristic parameters of each pipe section;
and correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section.
2. The pipe rehabilitation method according to claim 1, wherein the step of determining the deformation amount of each pipe section based on the current information of the mark point and the original information of the mark point includes:
constructing a first mark graph based on the current information of the mark points;
constructing a second mark graph based on the original information of the mark points;
under the condition that the gravity center points of the first mark graph and the second mark graph are coincident, calculating the deformation of the mark points, and determining the deformation of each pipe section according to the deformation of the mark points;
and under the condition that the gravity center points of the first mark graph and the second mark graph are not coincident, calculating the deformation quantity of the gravity center points, and determining the deformation quantity of each pipe section according to the deformation quantity of the gravity center points.
3. The method for repairing a pipeline according to claim 1, wherein the step of correcting the repair budget parameter of each pipe segment to obtain the repair parameter of each pipe segment according to the repair budget parameter of the reference pipe segment, the damage characteristic parameter of the reference pipe segment, the repair budget parameter of each pipe segment, and the damage characteristic parameter of each pipe segment comprises:
calculating the ratio of the repair budget parameter of the reference pipe section to the repair budget parameter of each pipe section as a first ratio;
calculating the ratio of the breakage characteristic parameter of the reference pipe section to the breakage characteristic parameter of each pipe section as a second ratio;
when the difference value between the first ratio and the second ratio is smaller than or equal to a preset ratio threshold value, taking the repair budget parameter of each pipe section as the repair parameter of each pipe section;
and when the difference value between the first ratio and the second ratio is larger than a preset ratio threshold value, determining the repair parameter of each pipe section based on the second ratio and the repair budget parameter of the reference pipe section.
4. The pipeline rehabilitation method according to claim 1, wherein the method for acquiring the rehabilitation parameter budget model comprises the following steps:
establishing a sample data set consisting of damage characteristic parameters, environment influence parameters and repair parameters of a plurality of repaired pipe sections;
dividing the sample data set to obtain a training data set and a verification data set;
training a preset basic model by using the training data set to obtain a preliminary repair parameter budget model;
verifying the preliminary repair parameter budget model by using the verification data set to obtain a verification result;
determining whether the verification result meets a preset condition;
if the initial repair parameter budget model meets the preset condition, carrying out parameter adjustment on the preset basic model based on the verification result, and returning to the step of dividing the sample data set to obtain a training data set and a verification data set until the verification result meets the preset condition, wherein the initial repair parameter budget model is used as a repair parameter budget model.
5. A pipe repair device, the pipe repair device comprising:
the pretreatment module is used for dividing the pipeline into a plurality of pipeline sections;
the characteristic parameter acquisition module is used for acquiring the damage characteristic parameter of each pipe section in the plurality of pipe sections;
the repair parameter determining module is used for determining repair parameters of each pipe section based on the damage characteristic parameters of each pipe section and the environmental influence parameters of each pipe section;
the restoration module is used for restoring each pipe section according to the restoration parameters, wherein the difference value between the corresponding bearing parameters of each pipe section after being restored is smaller than a preset threshold value;
when the breakage feature parameter includes a deformation amount, the feature parameter acquisition module includes:
the first identification unit is used for identifying the current information of the mark points in the pipe section image corresponding to each pipe section;
the deformation determining unit is used for determining the deformation of each pipe section based on the current information of the mark point and the original information of the mark point;
when the breakage feature parameter includes a gap value, the feature parameter acquisition module includes:
the second identification unit is used for identifying the area where the gap in the pipe section infrared image corresponding to each pipe section is located;
the gap value determining unit is used for calculating the area value of the area where the gap is located, and taking the area value as the gap value of each pipe section;
the repair parameter determination module includes:
the repair budget parameter determining unit is used for inputting the damage characteristic parameter of each pipe section and the environmental influence parameter of each pipe section into the repair parameter budget model, and calculating to obtain the repair budget parameter of each pipe section;
a reference pipe section obtaining unit, configured to determine, based on the breakage characteristic parameter of each pipe section, a pipe section with the highest breakage degree as a reference pipe section;
and the repair parameter determining unit is used for correcting the repair budget parameters of each pipe section according to the repair budget parameters of the reference pipe section, the damage characteristic parameters of the reference pipe section, the repair budget parameters of each pipe section and the damage characteristic parameters of each pipe section to obtain the repair parameters of each pipe section.
6. A pipe repair apparatus, the apparatus comprising: a memory, a processor and a pipe repair program stored on the memory and executable on the processor, the pipe repair program configured to implement the steps of the pipe repair method of any one of claims 1 to 4.
7. A storage medium having stored thereon a pipe repair program which when executed by a processor performs the steps of the pipe repair method according to any one of claims 1 to 4.
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