CN117346764A - Pipeline detection method, system, terminal equipment and storage medium based on mileage wheels - Google Patents

Pipeline detection method, system, terminal equipment and storage medium based on mileage wheels Download PDF

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Publication number
CN117346764A
CN117346764A CN202311078487.0A CN202311078487A CN117346764A CN 117346764 A CN117346764 A CN 117346764A CN 202311078487 A CN202311078487 A CN 202311078487A CN 117346764 A CN117346764 A CN 117346764A
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information
pipeline
credibility
detection characteristic
real
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闵春雨
文陈鼎
刘华
鲁培松
陈国峰
姚祉百
肖松
赵连玉
苏涛
赵晓明
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Foshan Gas High Pressure Pipe Network Co ltd
Guangdong Paplain Technology Co ltd
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Foshan Gas High Pressure Pipe Network Co ltd
Guangdong Paplain Technology Co ltd
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Priority to CN202311078487.0A priority Critical patent/CN117346764A/en
Publication of CN117346764A publication Critical patent/CN117346764A/en
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/005Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16LPIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L55/00Devices or appurtenances for use in, or in connection with, pipes or pipe systems
    • F16L55/26Pigs or moles, i.e. devices movable in a pipe or conduit with or without self-contained propulsion means
    • F16L55/48Indicating the position of the pig or mole in the pipe or conduit
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/20Instruments for performing navigational calculations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16LPIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
    • F16L2101/00Uses or applications of pigs or moles
    • F16L2101/30Inspecting, measuring or testing

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Automation & Control Theory (AREA)
  • Operations Research (AREA)
  • Chemical & Material Sciences (AREA)
  • Algebra (AREA)
  • Combustion & Propulsion (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Mechanical Engineering (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

The application is applicable to the technical field of pipeline detection, and provides a pipeline detection method, a pipeline detection system, terminal equipment and a storage medium based on mileage wheels, wherein the method comprises the steps of obtaining real-time position information of a detector in a pipeline; acquiring first detection characteristic information of a detector in a pipeline and second detection characteristic information of a mileage wheel; and determining the position credibility information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position credibility calculation formula, wherein the position credibility information is used for describing the credibility of the real-time position information. The method and the device can help the inspector to know the credibility of the positioning data, and are favorable for the inspector to comprehensively analyze the detection data of the detector in the pipeline.

Description

Pipeline detection method, system, terminal equipment and storage medium based on mileage wheels
Technical Field
The application relates to the technical field of pipeline detection, in particular to a pipeline detection method, a pipeline detection system, terminal equipment and a storage medium based on mileage wheels.
Background
The pipeline transportation plays an important role in industrial development and urban modern construction, and can bring great economic benefit for industrial development and life of people; in the transportation of petroleum or natural gas and other energy sources, a pipeline transportation mode is generally adopted; the pipeline after long-term use may have quality defects, so that effective detection of the pipeline is necessary.
At present, the whole structure of a pipeline is complex and long, and the inner side wall of the pipeline is usually detected by using an in-pipeline detector provided with a mileage wheel; the positioning result of the mileage wheel has positioning errors due to possible machining errors, use abrasion, slip during detection and clamping during detection; the detection distance of the detector in the pipeline is usually tens or hundreds of kilometers, the longer the detection distance of the detector in the pipeline is, the larger the accumulated positioning error is, the lower the accuracy of positioning data is, and the current pipeline detection method capable of evaluating the credibility of the positioning data is lacking, so that the problem that the detector is not beneficial to knowing the credibility of the positioning data is solved, and the further improvement is needed.
Disclosure of Invention
Based on the above, the embodiment of the application provides a pipeline detection method, a pipeline detection system, a terminal device and a storage medium based on mileage wheels, so as to solve the problem that detection personnel are not beneficial to knowing the credibility of positioning data in the prior art.
In a first aspect, an embodiment of the present application provides a method for detecting a pipeline based on mileage wheels, which is applicable to an in-pipeline detector, where the in-pipeline detector is provided with a plurality of mileage wheels, and the method includes:
acquiring real-time position information of the detector in the pipeline;
acquiring first detection characteristic information of the detector in the pipeline and second detection characteristic information of the mileage wheel;
and determining the position credibility information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position credibility calculation formula, wherein the position credibility information is used for describing the credibility of the real-time position information.
Compared with the prior art, the beneficial effects that exist are: according to the pipeline detection method based on the mileage wheels, the terminal equipment can firstly acquire the real-time position information of the detector in the pipeline, then acquire the first detection characteristic information of the detector in the pipeline and the second detection characteristic information of the mileage wheels, then determine the position reliability information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and the position reliability calculation formula, accurately quantify the reliability of the real-time position information through the position reliability information, provide a reference quantity capable of knowing the reliability of the positioning data for detection personnel, and solve the problem that the detection personnel is unfavorable for knowing the reliability of the positioning data to a certain extent.
In a second aspect, embodiments of the present application provide a pipe inspection system based on mileage wheels, adapted for use with an in-pipe detector, the in-pipe detector having a plurality of mileage wheels mounted thereon, the system comprising:
the real-time position information acquisition module is used for: the real-time position information of the detector in the pipeline is acquired;
the detection characteristic information acquisition module is used for: the method comprises the steps of acquiring first detection characteristic information of a detector in a pipeline and second detection characteristic information of a mileage wheel;
the position credibility information determining module: the position credibility information is used for determining the position credibility information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position credibility calculation formula, wherein the position credibility information is used for describing the credibility of the real-time position information.
In a third aspect, embodiments of the present application provide a terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect as described above when the computer program is executed.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method of the first aspect described above.
It will be appreciated that the advantages of the second to fourth aspects may be found in the relevant description of the first aspect and are not repeated here.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a schematic flow chart of a pipeline inspection method according to an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an in-line detector according to an embodiment of the present application;
fig. 3 is a schematic flowchart of step S200 in a pipeline inspection method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of a pipeline inspection method according to an embodiment of the present disclosure after step S300;
FIG. 5 is a block diagram of a pipeline inspection system provided in accordance with one embodiment of the present application;
fig. 6 is a schematic diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
In the description of this application and the claims that follow, the terms "first," "second," "third," etc. are used merely to distinguish between descriptions and should not be construed to indicate or imply relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
In order to illustrate the technical solutions described in the present application, the following description is made by specific examples.
Referring to fig. 1, fig. 1 is a flow chart of a pipeline detection method based on a mileage wheel according to an embodiment of the present application. In this embodiment, the execution body of the pipe detection method is a terminal device. It will be appreciated that the types of terminal devices include, but are not limited to, cell phones, tablet computers, notebook computers, ultra-Mobile Personal Computer (UMPC), netbooks, personal digital assistants (Personal Digital Assistant, PDA), etc., and embodiments of the present application do not impose any limitation on the specific type of terminal device.
Referring to fig. 1, the method for detecting a pipeline provided in the embodiment of the present application includes, but is not limited to, the following steps:
in S100, real-time position information of the in-pipe detector is acquired.
In particular, the real-time location information is used to describe the real-time location of the in-line detector in the line; the terminal device may obtain real-time location information of the in-pipe detector.
For example, referring to fig. 2, the pipeline inspection method is applicable to an in-pipeline detector, and the in-pipeline detector may be provided with a plurality of mileage wheels at equal intervals, and the mileage wheels are arranged in an annular shape; in the detection process of the detector in the pipeline, the mileage wheel is contacted with the inner side wall of the pipeline; the terminal device can determine the travel distance of the in-pipeline detector in the pipeline by the rotation number of the mileage wheel and the circumference of the mileage wheel, and then the terminal device can determine the real-time position information of the in-pipeline detector based on the initial position and the travel distance of the in-pipeline detector entering the pipeline.
In S200, first detection characteristic information of the in-pipe detector and second detection characteristic information of the mileage wheel are acquired.
Specifically, after the terminal device acquires the real-time position information, the terminal device may acquire first detection characteristic information of the in-pipe detector and second detection characteristic information of the mileage wheel.
In some possible implementations, to facilitate determining the confidence level of the positioning data, referring to fig. 3, step S200 includes, but is not limited to, the following steps:
in S210, first detection characteristic information of an in-pipe detector is acquired.
Specifically, the terminal device may first obtain first detection feature information of the in-pipeline detector, where the first detection feature information includes calibration time interval information and calibration distance interval information, the calibration time interval information is used to describe a time interval when the in-pipeline detector is at a distance from a last time when the in-pipeline detector is at an accurate position, and the calibration distance interval information is used to describe a distance between the in-pipeline detector and the last time when the in-pipeline detector is at the accurate position; illustratively, when the in-pipeline detector just enters the pipeline to start detection work, the terminal device may determine that the position corresponding to the pipeline opening is the accurate position of the in-pipeline detector, and then when the in-pipeline detector performs detection work in the pipeline for 72.5 minutes (i.e. 1 hour, 12 minutes and 30 seconds), the in-pipeline detector may have a calibration time interval information of 72.5 when the travel distance of the in-pipeline detector in the pipeline is 26.1 kilometers (i.e. 26100 meters); the calibration distance interval information may be 26.1.
In some possible implementations, in order to improve the application range of the pipeline detection method, a detector may be provided with an external positioning device at the ground on the upper side of the pipeline, where the external positioning device can determine whether the detector in the pipeline passes through the position of the external positioning device based on the principle of magnetism, and the external positioning device is used for calibrating the accurate position of the detector in the pipeline; because the pipe wall of modern pipelines is thicker and thicker, and the penetration capability of the outer positioning device to the pipeline is not strong, the outer positioning device usually does not cover the whole pipeline. When the in-pipeline detector passes through the position of the outer positioning device, the terminal equipment can determine that the position of the outer positioning device is the accurate position of the in-pipeline detector.
In S220, second detection feature information of the mileage wheel is acquired.
Specifically, after the terminal device acquires the first detection feature information, the terminal device may acquire second detection feature information of the mileage wheel, where the second detection feature information includes accumulated usage time information for describing accumulated usage time of the mileage wheel and current usage time information for describing usage time of the mileage wheel in the current detection process.
In S300, position reliability information of the real-time position information is determined according to the first detection feature information, the second detection feature information, and a preset position reliability calculation formula.
In particular, the location reliability information is used to describe the degree of reliability of the real-time location information; after the terminal device obtains the first detection feature information and the second detection feature information, the terminal device may input the first detection feature information and the second detection feature information into a preset position reliability calculation formula, and determine position reliability information of the real-time position information.
In some possible implementations, to accurately determine the confidence level of the real-time location information, step S300 includes, but is not limited to, the following steps:
in S310, the first detection feature information and the second detection feature information are input into a preset position reliability calculation formula, and position reliability information of the real-time position information is determined.
Specifically, the terminal device may input the first detection feature information and the second detection feature information into a preset position reliability calculation formula, so as to accurately determine position reliability information of the real-time position information.
In some possible implementations, the above location reliability calculation formula may be:
in the formula, the Reliability Lie Representing position reliability information, wherein the larger the position reliability information is, the lower the reliability degree of the real-time position information is; span Time Representing calibration time interval information;representing a preset first weight value, < ->The first weight value may be selected according to actual detection conditions, and may be, for example, 0.1 when the time interval between the detector in the pipeline and the last accurate position determination is less than or equal to 2 minutes, 1.6 when the time interval between the detector in the pipeline and the last accurate position determination is less than or equal to 45 minutes, and 3 when the time interval between the detector in the pipeline and the last accurate position determination is greater than 45 minutes.
In the formula, span Space Representing calibration distance interval information; slot (S.T.) Time_2 Representing current usage time information;indicating accumulated usage time information; />Representing a preset second weight value, < ->The value range of (2) represents 0.5 to 0.8, the second weight value may be selected according to the actual detection situation, and for example, when the mileage wheel on the in-pipeline detector is manufactured and enters the pipeline for detection for the first time, the current usage time information is equal to the accumulated usage time information, the value of the second weight value may be 0.8, and when the accumulated usage time of the mileage wheel is greater than 4320 minutes, the value of the second weight value may be 0.5.
Illustratively, when the first weight value is 3, the calibration time interval information is 72.5, the calibration distance interval information is 26.1, the second weight value is 0.5, the accumulated usage time information is 7200, and the current usage time information is 210, the location reliability information may be 0.888; the location reliability information may be 0.115 when the first weight value is 0.1, the calibration time interval information is 1.5, the calibration distance interval information is 0.54, the second weight value is 0.6, the accumulated usage time information is 2880, and the current usage time information is 1.5.
In some possible implementations, referring to fig. 4, in order to facilitate the inspector to analyze the positioning data of the in-pipe detector, after step S300, the method further includes, but is not limited to, the steps of:
in S400, the position reliability information is compared with a preset reliability threshold.
Specifically, after the terminal device determines the location reliability information of the real-time location information, the terminal device may compare the location reliability information with a preset reliability threshold, and the value of the reliability threshold may be 0.55.
In S410, if the location reliability information is greater than the reliability threshold, a suspicious packet is generated according to the location reliability information and the real-time location information.
Specifically, if the position reliability information is greater than the reliability threshold, the reliability degree of the real-time position information is lower, and the terminal device can generate suspicious data packets according to the position reliability information and the real-time position information.
Without loss of generality, if the location reliability information is less than or equal to the reliability threshold, the real-time location information is highly reliable, and has a certain validity.
In S420, the suspicious packet is transmitted to the designated terminal.
In particular, after the terminal device generates the suspicious data packet, the terminal device may send the suspicious data packet to the designated terminal, thereby facilitating a inspector to analyze the positioning data of the in-pipeline detector.
In some possible implementations, to further facilitate the inspector to analyze the positioning data of the in-pipe detector, after step S410, the method further includes, but is not limited to, the steps of:
in S411, the real-time position information is highlighted based on a preset duct distribution map, and a highlighted duct map is generated.
Specifically, the pipe profile records the positions of the plurality of pipes corresponding to the specified area; the terminal equipment can highlight the corresponding position of the real-time position information in the pipeline distribution diagram based on the preset pipeline distribution diagram, and a highlight pipeline map is generated.
Accordingly, step S420 includes, but is not limited to, the following steps:
in S421, the suspicious packet and the highlighted pipe map are transmitted to the specified terminal.
Specifically, after the terminal device generates the highlighted pipeline map, the terminal device may send the suspicious data packets and the highlighted pipeline map to the designated terminal, thereby further facilitating the inspector to analyze the positioning data of the in-pipeline detector.
The pipeline detection method based on the mileage wheels comprises the following implementation principles: the terminal equipment can acquire the real-time position information of the detector in the pipeline firstly, then the terminal equipment can acquire the first detection characteristic information of the detector in the pipeline and the second detection characteristic information of the mileage wheel, and then the first detection characteristic information and the second detection characteristic information are input into the position credibility calculation formula to determine the position credibility information of the real-time position information, so that a reference quantity (namely the position credibility information) capable of knowing the credibility of the positioning data is provided for a detector, the credibility of the real-time position information is accurately quantized through the position credibility information, and the detector is facilitated to know the credibility of the positioning data.
It should be noted that, the sequence number of each step in the above embodiment does not mean the sequence of execution sequence, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.
Embodiments of the present application also provide a pipe inspection system based on mileage wheels, suitable for an in-pipe inspection device, where a plurality of mileage wheels are installed, and for convenience of explanation, only the parts relevant to the present application are shown, as shown in fig. 5, the system 50 includes:
the real-time position information acquisition module 51: the real-time position information of the detector in the pipeline is acquired;
the detection feature information acquisition module 52: the method comprises the steps of acquiring first detection characteristic information of a detector in a pipeline and second detection characteristic information of a mileage wheel;
the position reliability information determination module 53: the position reliability information is used for determining the position reliability information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position reliability calculation formula, wherein the position reliability information is used for describing the reliability degree of the real-time position information.
Optionally, the detection feature information obtaining module 52 includes:
the first detection characteristic information acquisition sub-module: the method comprises the steps of acquiring first detection characteristic information of a detector in a pipeline, wherein the first detection characteristic information comprises calibration time interval information and calibration distance interval information;
and a second detection characteristic information acquisition sub-module: and the second detection characteristic information is used for acquiring the mileage wheel, wherein the second detection characteristic information comprises accumulated use time information and current use time information.
Optionally, the location reliability information determining module 53 includes:
the position reliability information determination submodule: the method comprises the steps of inputting first detection characteristic information and second detection characteristic information into a preset position credibility calculation formula, and determining position credibility information of real-time position information;
the position reliability calculation formula is as follows:
in the formula, the Reliability Lie The position credibility information is that the larger the position credibility information is, the lower the credibility of the real-time position information is;is preset toIs +.>The value range of (2) is 0.1 to 3; span Time For calibrating the time interval information; span Space Calibrating distance interval information; />For a preset second weight value, +.>The value range of (2) is 0.5 to 0.8; />Accumulating the use time information; slot (S.T.) Time_2 Is the current usage time information.
Optionally, the system 50 further includes:
position reliability information comparison module: the method comprises the steps of comparing position credibility information with a preset credibility threshold;
suspicious data packet generation module: if the position credibility information is larger than the credibility threshold, generating suspicious data packets according to the position credibility information and the real-time position information;
suspicious data packet sending module: for sending suspicious packets to a designated terminal.
Optionally, the system 50 further includes:
highlighting the pipeline map generation module: the method comprises the steps of carrying out highlighting processing on real-time position information based on a preset pipeline distribution diagram to generate a highlighted pipeline map, wherein the pipeline distribution diagram records the positions of a plurality of pipelines corresponding to a designated area;
correspondingly, the suspicious data packet sending module comprises:
suspicious data packet sending submodule: for sending suspicious packets and highlighted pipeline maps to designated terminals.
It should be noted that, because the content of information interaction and execution process between the modules is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment section, and details are not repeated herein.
The embodiment of the present application further provides a terminal device, as shown in fig. 6, where the terminal device 60 of the embodiment includes: a processor 61, a memory 62 and a computer program 63 stored in the memory 62 and executable on the processor 61. The steps in the above-described flow processing method embodiment, such as steps S100 to S300 shown in fig. 1, are realized when the processor 61 executes the computer program 63; alternatively, the processor 61, when executing the computer program 63, performs the functions of the modules in the apparatus described above, such as the functions of the modules 51 to 53 shown in fig. 5.
The terminal device 60 may be a desktop computer, a notebook computer, a palm computer, a cloud server, etc., and the terminal device 60 includes, but is not limited to, a processor 61 and a memory 62. It will be appreciated by those skilled in the art that fig. 6 is merely an example of the terminal device 60 and is not limiting of the terminal device 60, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the terminal device 60 may also include input and output devices, network access devices, buses, etc.
The processor 61 may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.; a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 62 may be an internal storage unit of the terminal device 60, for example, a hard disk or a memory of the terminal device 60, or the memory 62 may be an external storage device of the terminal device 60, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card) or the like provided on the terminal device 60; further, the memory 62 may also include both an internal storage unit of the terminal device 60 and an external storage device, the memory 62 may also store the computer program 63 and other programs and data required by the terminal device 60, and the memory 62 may also be used to temporarily store data that has been output or is to be output.
An embodiment of the present application also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the various method embodiments described above. Wherein the computer program comprises computer program code, the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc.; the computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes of the method, principle and structure of the present application should be covered in the protection scope of the present application.

Claims (9)

1. A method for detecting a pipeline based on mileage wheels, which is applicable to an in-pipeline detector, wherein the in-pipeline detector is provided with a plurality of mileage wheels, and the method is characterized by comprising the following steps:
acquiring real-time position information of the detector in the pipeline;
acquiring first detection characteristic information of the detector in the pipeline and second detection characteristic information of the mileage wheel;
and determining the position credibility information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position credibility calculation formula, wherein the position credibility information is used for describing the credibility of the real-time position information.
2. The method of claim 1, wherein the obtaining the first detection characteristic information of the in-pipe detector and the second detection characteristic information of the odometer wheel comprises:
acquiring first detection characteristic information of the detector in the pipeline, wherein the first detection characteristic information comprises calibration time interval information and calibration distance interval information;
and acquiring second detection characteristic information of the mileage wheel, wherein the second detection characteristic information comprises accumulated use time information and current use time information.
3. The method according to claim 2, wherein determining the position reliability information of the real-time position information according to the first detection feature information, the second detection feature information, and a preset position reliability calculation formula includes:
inputting the first detection characteristic information and the second detection characteristic information into a preset position credibility calculation formula, and determining position credibility information of the real-time position information;
the position credibility calculation formula is as follows:
in the formula, the Reliability Lie The position credibility information is the position credibility information, and the larger the position credibility information is, the lower the credibility of the real-time position information is;for a preset first weight value, < +.>The value range of (2) is 0.1 to 3; span Time For the calibration time interval information; span Space For the calibration distance interval information; />For a preset second weight value, +.>The value range of (2) is 0.5 to 0.8; />The accumulated use time information is provided; slot (S.T.) Time_2 And the current use time information is obtained.
4. The method according to claim 1, wherein after the determining the position reliability information of the real-time position information according to the first detection feature information, the second detection feature information, and a preset position reliability calculation formula, the method further comprises:
comparing the position credibility information with a preset credibility threshold;
if the position credibility information is larger than the credibility threshold, generating suspicious data packets according to the position credibility information and the real-time position information;
and sending the suspicious data packet to a designated terminal.
5. The method of claim 4, wherein after generating suspicious packets from the location reliability information and the real-time location information if the location reliability information is less than the reliability threshold, the method further comprises:
performing highlighting processing on the real-time position information based on a preset pipeline distribution diagram to generate a highlighted pipeline map, wherein the pipeline distribution diagram records the positions of a plurality of pipelines corresponding to a designated area;
correspondingly, the sending the suspicious data packet to the designated terminal includes:
and sending the suspicious data packet and the highlight pipeline map to a designated terminal.
6. A mileage wheel-based pipe inspection system adapted for use with an in-pipe inspection system having a plurality of mileage wheels mounted thereon, the system comprising:
the real-time position information acquisition module is used for: the real-time position information of the detector in the pipeline is acquired;
the detection characteristic information acquisition module is used for: the method comprises the steps of acquiring first detection characteristic information of a detector in a pipeline and second detection characteristic information of a mileage wheel;
the position credibility information determining module: the position credibility information is used for determining the position credibility information of the real-time position information according to the first detection characteristic information, the second detection characteristic information and a preset position credibility calculation formula, wherein the position credibility information is used for describing the credibility of the real-time position information.
7. The system of claim 6, wherein the detection feature information acquisition module comprises:
the first detection characteristic information acquisition sub-module: the method comprises the steps of obtaining first detection characteristic information of a detector in a pipeline, wherein the first detection characteristic information comprises calibration time interval information and calibration distance interval information;
and a second detection characteristic information acquisition sub-module: and the second detection characteristic information is used for acquiring the mileage wheel, wherein the second detection characteristic information comprises accumulated use time information and current use time information.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 5 when the computer program is executed.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any one of claims 1 to 5.
CN202311078487.0A 2023-08-24 2023-08-24 Pipeline detection method, system, terminal equipment and storage medium based on mileage wheels Pending CN117346764A (en)

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