CN117387009A - Real-time monitoring and early warning method and system for leakage state of pipe gallery - Google Patents
Real-time monitoring and early warning method and system for leakage state of pipe gallery Download PDFInfo
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- CN117387009A CN117387009A CN202311320535.2A CN202311320535A CN117387009A CN 117387009 A CN117387009 A CN 117387009A CN 202311320535 A CN202311320535 A CN 202311320535A CN 117387009 A CN117387009 A CN 117387009A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
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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
- F16L1/00—Laying or reclaiming pipes; Repairing or joining pipes on or under water
- F16L1/024—Laying or reclaiming pipes on land, e.g. above the ground
- F16L1/06—Accessories therefor, e.g. anchors
- F16L1/11—Accessories therefor, e.g. anchors for the detection or protection of pipes in the ground
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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Abstract
The invention provides a method and a system for monitoring and early warning the leakage state of a pipe gallery in real time, wherein the method comprises the following steps: acquiring first images and first positioning information acquired by first image acquisition devices arranged on two sides of the interior of a pipe gallery; based on the first positioning information, correspondingly associating the first image with each first position point of a preset pipe gallery map; determining the leakage state of each first position point based on the first image corresponding to each first position point; and outputting early warning information when the leakage state of the first position point accords with a preset early warning condition. The real-time monitoring and early warning method for the leakage state of the pipe gallery realizes the real-time monitoring and early warning of the leakage state of the pipe gallery.
Description
Technical Field
The invention relates to the technical field of monitoring and early warning, in particular to a method and a system for monitoring and early warning a leakage state of a pipe gallery in real time.
Background
Pipe corridor, i.e. the corridor of a pipeline. Underground pipe galleries are often built in urban construction and are used for intensively laying municipal pipelines such as electric power, communication, broadcast television, water supply, water drainage, heat, fuel gas and the like; realizing the effective utilization of the underground space; the underground comprehensive pipe rack is constructed, so that technicians do not need to repeatedly excavate the pavement, and various pipelines can be salvaged, maintained, expanded, reformed and the like in the pipe rack; meanwhile, the rush repair time of the pipeline is greatly shortened. Because the pipe gallery is constructed underground, the threat of underground water leakage exists, and how to realize real-time monitoring and early warning of the leakage state of the pipe gallery is a technical problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a real-time monitoring and early warning method for the leakage state of a pipe gallery, which realizes the real-time monitoring and early warning of the leakage state of the pipe gallery.
The embodiment of the invention provides a method for monitoring and early warning the leakage state of a pipe gallery in real time, which comprises the following steps:
acquiring first images and first positioning information acquired by first image acquisition devices arranged on two sides of the interior of a pipe gallery;
based on the first positioning information, correspondingly associating the first image with each first position point of a preset pipe gallery map;
determining the leakage state of each first position point based on the first image corresponding to each first position point;
and outputting early warning information when the leakage state of the first position point accords with a preset early warning condition.
Preferably, the first image acquisition device includes:
a first guide rail provided on a side wall of the pipe lane and laid along a direction of a pipe in the pipe lane;
the first equipment platform is arranged on the first guide rail in a sliding way through the first travelling mechanism;
the fixed end of the first rotating mechanism is fixedly arranged on the first equipment platform;
the first camera and the first lighting mechanism are arranged at the tail end of the rotating end of the first rotating mechanism;
wherein the section of the first guide rail is I-shaped;
the first travel mechanism includes: the C-shaped contact body is matched with the first guide rail, and at least one group of driving wheels are arranged on the contact surface of the C-shaped contact body and the section of the first guide rail.
Preferably, based on the first positioning information, associating the first image with each first location point of the preset piping lane map includes:
analyzing first positioning information corresponding to each first image, and determining first coordinates;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point;
each first image is associated with a first location point having the smallest distance value.
Preferably, determining the leakage state of each first location point based on the first image corresponding to each first location point includes:
extracting features of each first image to obtain a plurality of first feature values corresponding to each first image;
constructing a feature parameter set corresponding to each first image based on the plurality of first feature values;
matching the characteristic parameter set with analysis parameter sets corresponding to and associated with each state analysis result in a preset state identification library;
extracting state analysis results corresponding to and associated with the analysis parameter sets matched with the characteristic parameter sets;
and analyzing the state analysis results corresponding to the first images corresponding to the first position points, and determining the leakage state of each first position point.
Preferably, the method for monitoring and pre-warning the leakage state of the pipe gallery in real time further comprises the following steps:
acquiring the environment information of the current pipe gallery;
extracting the characteristics of the environment information to obtain a plurality of second characteristic values;
constructing a condition analysis set based on the plurality of second feature values;
matching the condition analysis set with a standard condition set corresponding to and associated with each early warning condition correction result in a preset condition correction library;
acquiring and correcting early warning condition correction results correspondingly associated with a standard condition set matched with the condition analysis set;
judging whether to send out an early warning or not based on the corrected early warning condition;
and outputting early warning information when the result is yes.
Preferably, the method for monitoring and pre-warning the leakage state of the pipe gallery in real time further comprises the following steps:
acquiring a second image and second positioning information acquired by a second image acquisition module arranged on the periphery of an inner pipeline of the pipe gallery;
based on the second positioning information, correspondingly associating the second image with each second position point on the preset pipeline;
determining the leakage state of each second position point based on the second image corresponding to each second position point;
and outputting early warning information when the leakage state of the second position point is leakage.
Preferably, the second image acquisition device includes:
the second guide rail is spiral, is arranged on the periphery of the pipeline corridor and is paved along the direction of the pipeline;
the second equipment platform is arranged on the second guide rail in a sliding way through a second travelling mechanism;
the fixed end of the second rotating mechanism is fixedly arranged on the second equipment platform;
the second camera and the second lighting mechanism are arranged at the tail end of the rotating end of the second rotating mechanism.
The invention also provides a system for monitoring and early warning the leakage state of the pipe gallery in real time, which comprises the following steps:
the acquisition module is used for acquiring first images and first positioning information acquired by the first image acquisition devices arranged on two sides of the interior of the pipe gallery;
the association module is used for correspondingly associating the first image with each first position point of a preset pipe gallery map based on the first positioning information;
the analysis module is used for determining the leakage state of each first position point based on the first image corresponding to each first position point;
and the early warning output module is used for outputting early warning information when the leakage state of the first position point accords with a preset early warning condition.
Preferably, the association module correspondingly associates the first image with each first position point of the preset pipe gallery map based on the first positioning information, and performs the following operations:
analyzing first positioning information corresponding to each first image, and determining first coordinates;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point;
each first image is associated with a first location point having the smallest distance value.
Preferably, the analysis module determines the leakage state of each first location point based on the first image corresponding to each first location point, and performs the following operations:
extracting features of each first image to obtain a plurality of first feature values corresponding to each first image;
constructing a feature parameter set corresponding to each first image based on the plurality of first feature values;
matching the characteristic parameter set with analysis parameter sets corresponding to and associated with each state analysis result in a preset state identification library;
extracting state analysis results corresponding to and associated with the analysis parameter sets matched with the characteristic parameter sets;
and analyzing the state analysis results corresponding to the first images corresponding to the first position points, and determining the leakage state of each first position point.
Preferably, the real-time monitoring and early warning system for leakage state of pipe rack further comprises: a correction module;
the correction module performs the following operations:
acquiring the environment information of the current pipe gallery;
extracting the characteristics of the environment information to obtain a plurality of second characteristic values;
constructing a condition analysis set based on the plurality of second feature values;
matching the condition analysis set with a standard condition set corresponding to and associated with each early warning condition correction result in a preset condition correction library;
acquiring and correcting early warning condition correction results correspondingly associated with a standard condition set matched with the condition analysis set;
judging whether to send out an early warning or not based on the corrected early warning condition;
and outputting early warning information when the result is yes.
Preferably, the real-time monitoring and early warning system for leakage state of pipe rack further comprises: a pipeline monitoring module, a pipeline monitoring module and a pipeline monitoring system,
the pipeline monitoring module performs the following operations:
acquiring a second image and second positioning information acquired by a second image acquisition module arranged on the periphery of an inner pipeline of the pipe gallery;
based on the second positioning information, correspondingly associating the second image with each second position point on the preset pipeline;
determining the leakage state of each second position point based on the second image corresponding to each second position point;
and outputting early warning information when the leakage state of the second position point is leakage.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a method for monitoring and pre-warning leakage state of a pipe rack in real time according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a first image capturing device according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a system for monitoring and early warning leakage status of a pipe rack in real time according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a method for monitoring and early warning the leakage state of a pipe gallery in real time, which is shown in figure 1 and comprises the following steps:
step S1: acquiring first images and first positioning information acquired by first image acquisition devices arranged on two sides of the interior of a pipe gallery;
step S2: based on the first positioning information, correspondingly associating the first image with each first position point of a preset pipe gallery map;
step S3: determining the leakage state of each first position point based on the first image corresponding to each first position point;
step S4: and outputting early warning information when the leakage state of the first position point accords with a preset early warning condition.
As shown in fig. 2, the first image capturing device includes:
a first guide rail 11 provided on a side wall of the pipe lane and laid in a direction along a pipe line in the pipe lane;
a first equipment platform 14 slidably disposed on the first rail 11 by the first travel mechanism 12;
the first rotating mechanism 15, the fixed end is fixedly arranged on the first equipment platform 14;
a first camera 17 and a first illumination mechanism 16 provided at the tip of the rotating end of the first rotation mechanism 15;
wherein the section of the first guide rail 11 is I-shaped;
the first travel mechanism 12 includes: a C-shaped contact body 121 cooperating with the first rail 11, and at least one set of driving wheels 122 arranged between the contact surfaces of the C-shaped contact body 121 and the cross section of the first rail 11.
The working principle and the beneficial effects of the technical scheme are as follows:
two side walls inside the pipe gallery are respectively provided with a first image acquisition device, and the first image acquisition devices are used for comprehensively acquiring images inside the pipe gallery; analyzing the acquired first image to determine the leakage state in the pipe gallery; when the leakage state meets the preset early warning condition, early warning is carried out; wherein the leakage condition comprises: whether a risk leakage point exists, whether a leaked position exists, the size of the risk leakage point, the size of the leaked area, the leakage speed and the like; the risk leakage points are mainly identified by cracks according to the first image, namely whether risk leakage positions such as cracks exist on the pipe gallery or not is identified to be used as the risk leakage points; parameters describing the size of the risk leak include: the length, maximum width, average width, etc. of the slit; according to the first positioning information of the first image acquisition device, the first image is associated with a first position point of a pipe lane on a pipe lane map, and then analysis is carried out, so that a leakage position or a risk leakage point is conveniently positioned; and can adopt the visual monitoring interface based on piping lane map to monitor, annotate piping lane map with real-time supervision data in the form of text box, realize directly perceivedly the control. The first guide rail 11 of the first image acquisition device is paved along the pipeline direction, so that the pipeline can be linearly patrolled when the first travelling mechanism 12 moves on the first guide rail 11; and the first camera can carry out shooting direction adjustment in the pipeline section direction through the rotation of the first rotating mechanism 15, so that the effectiveness and the accuracy of pipeline inspection and leakage detection are improved.
In one embodiment, associating the first image with each first location point of the preset piping lane map based on the first positioning information includes:
analyzing first positioning information corresponding to each first image, and determining first coordinates; the first positioning information can be obtained through a positioning module arranged on the first equipment platform, namely, the first camera shoots a first image and simultaneously obtains the positioning information of the positioning module and associates the positioning information with the first image; forming a corresponding relation; the first coordinates are coordinate parameters obtained after the first positioning information is processed by a preset coordinate system;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point; the pipe gallery map is constructed in advance, a first position is arranged on the pipe gallery map at intervals of 1-10 meters in the pipe gallery direction, and a second coordinate of a first position point corresponding to a preset coordinate system is determined;
each first image is associated with a first location point having the smallest distance value.
The working principle and the beneficial effects of the technical scheme are as follows:
when a first image is acquired, first positioning information is synchronously acquired and correlated; the position of shooting the first image can be determined by analyzing the first positioning information, and then the area corresponding to the first image can be determined; the association of the first image with the location points on the piping lane map can be achieved by calculating the distance values of the first coordinates (first image) and the second coordinates corresponding to the respective first location points.
In one embodiment, determining the leak status of each first location point based on the first image corresponding to each first location point includes:
extracting features of each first image to obtain a plurality of first feature values corresponding to each first image; the first characteristic value includes: whether there is a body of water, the extent of the area of the body of water, whether there is a moist area, the extent of the moist area, whether there is a crack, the extent of the crack, etc.;
constructing a feature parameter set corresponding to each first image based on the plurality of first feature values; arranging the first characteristic values in sequence to obtain a characteristic parameter set;
matching the characteristic parameter set with analysis parameter sets corresponding to and associated with each state analysis result in a preset state identification library;
extracting state analysis results corresponding to and associated with the analysis parameter sets matched with the characteristic parameter sets;
and analyzing the state analysis results corresponding to the first images corresponding to the first position points, and determining the leakage state of each first position point.
The working principle and the beneficial effects of the technical scheme are as follows:
the state recognition library is constructed by analyzing a large amount of data by a professional in advance, and the constructed state recognition library can be used for analyzing the first image; a specific leakage state can be analyzed according to the first image; the leakage state mainly includes: types such as undiscovered, crack, wet area, water area and the like; each first position point corresponds to a plurality of first images, so that the leakage state of the first position point needs to be determined according to the identification results on the plurality of images.
In one embodiment, the method for monitoring and pre-warning the leakage state of the pipe gallery in real time further comprises:
acquiring the environment information of the current pipe gallery;
extracting the characteristics of the environment information to obtain a plurality of second characteristic values;
constructing a condition analysis set based on the plurality of second feature values;
matching the condition analysis set with a standard condition set corresponding to and associated with each early warning condition correction result in a preset condition correction library;
acquiring and correcting early warning condition correction results correspondingly associated with a standard condition set matched with the condition analysis set;
judging whether to send out an early warning or not based on the corrected early warning condition;
and outputting early warning information when the result is yes.
The working principle and the beneficial effects of the technical scheme are as follows:
the embodiment provides correction of the early warning condition based on the environment outside the pipe gallery so as to realize adjustment of the adaptive early warning condition according to the external environment; external environmental information includes precipitation, height differences between nearby bodies of water and pipe rack, and the like. When the method is specifically applied, the current early warning condition is that the length of the crack is more than 10cm and the width is more than 2mm; when the rainfall is larger than a preset first rainfall and the height of the water body is larger than the preset height, the crack length is larger than 5cm and the width is larger than 1mm in the early warning condition, and an alarm is given; the accuracy and the effectiveness of early warning are improved. The method comprises the steps that an early warning condition correction result is obtained from a condition correction library and is also an independent early warning condition, when correction is carried out, the early warning condition correction result is compared with the data of the current early warning condition in each condition item, and the condition with more strict condition is extracted as the corrected condition; for example: under the current condition, the crack length is more than 10cm, and the width is more than 2mm; the length of the crack is more than 5cm and the width is more than 1mm are obtained from the condition correction library; and finally, taking the crack length of more than 5cm and the crack width of more than 1mm as early warning conditions.
In one embodiment, the method for monitoring and pre-warning the leakage state of the pipe gallery in real time further comprises:
acquiring a second image and second positioning information acquired by a second image acquisition module arranged on the periphery of an inner pipeline of the pipe gallery;
based on the second positioning information, correspondingly associating the second image with each second position point on the preset pipeline;
determining the leakage state of each second position point based on the second image corresponding to each second position point;
and outputting early warning information when the leakage state of the second position point is leakage.
Wherein, the second image acquisition device includes:
the second guide rail is spiral, is arranged on the periphery of the pipeline corridor and is paved along the direction of the pipeline;
the second equipment platform is arranged on the second guide rail in a sliding way through a second travelling mechanism;
the fixed end of the second rotating mechanism is fixedly arranged on the second equipment platform;
the second camera and the second lighting mechanism are arranged at the tail end of the rotating end of the second rotating mechanism.
The working principle and the beneficial effects of the technical scheme are as follows:
the second image acquisition device is used for acquiring and analyzing the images of the pipelines, determining the leakage condition of the second position points on each pipeline, avoiding the leakage of the pipeline to the pipeline corridor caused by pipeline breakage and further ensuring the environment of the pipeline corridor.
In one embodiment, the method for monitoring and pre-warning the leakage state of the pipe gallery in real time further comprises:
obtaining the laying condition of each pipeline in the pipe gallery; the laying conditions include: the position, welding position, etc. of each pipeline node;
extracting features of the paving conditions to obtain a plurality of paving feature values; analyzing the laying condition, and determining the positions of nodes on the pipeline and the welding positions (positions where leakage occurs); then, equal-proportion segmentation is carried out from one end of the pipeline to the other end, the midpoint of each segmented segment corresponds to a first position point, and the paving characteristic value corresponding to the non-node and non-welding segments is 0; when nodes exist in the segments and welding is performed, parameters such as the number of the nodes, the node type, the welding number, the welding length, the width and the like are extracted, a preset parameter and a paving characteristic value corresponding table are queried, and the number of the paving characteristic value is determined; so that the corresponding eigenvalues of each pipeline can form a row vector;
constructing a paving characteristic parameter set based on a plurality of paving characteristic values; arranging row vectors corresponding to all pipelines from top to bottom to form a paving characteristic parameter set;
determining a focus set based on the paving characteristic parameters and a preset focus determining library; the attention degree determining library is constructed in advance, and a characteristic parameter set is paved in the attention degree determining library to be in one-to-one correspondence with the attention degree determining set;
analyzing the attention set, and determining the attention of each first position point; the more nodes in the segmented area corresponding to each first position point, the more welding positions and the longer welding length are, and the higher the attention is;
setting a second image acquisition device in a first position point corresponding area with the attention degree larger than a preset first threshold value;
setting a first image acquisition device in a region of a first position point of which the attention is greater than a preset second threshold value and less than or equal to a first threshold value;
when the first image acquisition device is controlled, determining a first control parameter of the first image acquisition device according to the attention degree of a first position point where the first image acquisition device is positioned and a preset first control parameter determination table; wherein the first control parameter comprises: the moving speed of the first equipment platform on the first guide rail, the rotating speed of the first rotating mechanism, the shooting frequency of the first camera and the like; the higher the attention, the slower the moving speed of the corresponding first equipment platform on the first guide rail, the slower the rotating speed of the first rotating mechanism and the faster the shooting frequency of the first setting head;
when the second image acquisition device is controlled, determining a second control parameter of the second image acquisition device according to the attention degree of the first position point where the second image acquisition device is positioned and a preset second control parameter determination table; wherein the second control parameter comprises: the moving speed of the second equipment platform on the second guide rail, the rotating speed of the second rotating mechanism, the shooting frequency of the second camera and the like; the higher the attention, the slower the moving speed of the corresponding second equipment platform on the second guide rail, the slower the rotating speed of the second rotating mechanism, and the faster the shooting frequency of the second camera.
In the embodiment, attention is configured for each first position point by analyzing pipeline laying conditions; the higher the attention, the more attention is needed, the more careful the inspection is needed, the inspection efficiency and the probability of error discovery are improved, and the operation effectiveness of the monitoring system is ensured.
The invention also provides a system for monitoring and early warning the leakage state of the pipe gallery in real time, as shown in fig. 3, comprising:
the acquisition module 1 is used for acquiring first images and first positioning information acquired by first image acquisition devices arranged on two sides of the interior of the pipe gallery;
the association module 2 is used for correspondingly associating the first image with each first position point of a preset pipe gallery map based on the first positioning information;
an analysis module 3, configured to determine a leakage state of each first location point based on the first image corresponding to each first location point;
and the early warning output module 4 is used for outputting early warning information when the leakage state of the first position point accords with preset early warning conditions.
In one embodiment, the association module 2 associates the first image with each first location point of the preset piping lane map based on the first positioning information, and performs the following operations:
analyzing first positioning information corresponding to each first image, and determining first coordinates;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point;
each first image is associated with a first location point having the smallest distance value.
In one embodiment, the analysis module 3 determines the leakage state of each first location point based on the first image corresponding to each first location point, and performs the following operations:
extracting features of each first image to obtain a plurality of first feature values corresponding to each first image;
constructing a feature parameter set corresponding to each first image based on the plurality of first feature values;
matching the characteristic parameter set with analysis parameter sets corresponding to and associated with each state analysis result in a preset state identification library;
extracting state analysis results corresponding to and associated with the analysis parameter sets matched with the characteristic parameter sets;
and analyzing the state analysis results corresponding to the first images corresponding to the first position points, and determining the leakage state of each first position point.
In one embodiment, the system for monitoring and pre-warning the leak status of a pipe rack in real time further comprises: a correction module;
the correction module performs the following operations:
acquiring the environment information of the current pipe gallery;
extracting the characteristics of the environment information to obtain a plurality of second characteristic values;
constructing a condition analysis set based on the plurality of second feature values;
matching the condition analysis set with a standard condition set corresponding to and associated with each early warning condition correction result in a preset condition correction library;
acquiring and correcting early warning condition correction results correspondingly associated with a standard condition set matched with the condition analysis set;
judging whether to send out an early warning or not based on the corrected early warning condition;
and outputting early warning information when the result is yes.
In one embodiment, the system for monitoring and pre-warning the leak status of a pipe rack in real time further comprises: a pipeline monitoring module, a pipeline monitoring module and a pipeline monitoring system,
the pipeline monitoring module performs the following operations:
acquiring a second image and second positioning information acquired by a second image acquisition module arranged on the periphery of an inner pipeline of the pipe gallery;
based on the second positioning information, correspondingly associating the second image with each second position point on the preset pipeline;
determining the leakage state of each second position point based on the second image corresponding to each second position point;
and outputting early warning information when the leakage state of the second position point is leakage.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The utility model provides a real-time monitoring and early warning method of piping lane seepage state which characterized in that includes:
acquiring first images and first positioning information acquired by first image acquisition devices arranged on two sides of the interior of a pipe gallery;
based on the first positioning information, correspondingly associating the first image with each first position point of a preset pipe gallery map;
determining the leakage state of each first position point based on the first image corresponding to each first position point;
and outputting early warning information when the leakage state of the first position point accords with a preset early warning condition.
2. The method for real-time monitoring and forewarning of a leak condition of a pipe rack as defined in claim 1, wherein said first image acquisition means comprises:
a first guide rail provided on a side wall of the pipe lane and laid along a direction of a pipe in the pipe lane;
the first equipment platform is arranged on the first guide rail in a sliding way through a first travelling mechanism;
the fixed end of the first rotating mechanism is fixedly arranged on the first equipment platform;
the first camera and the first lighting mechanism are arranged at the tail end of the rotating end of the first rotating mechanism;
wherein the section of the first guide rail is I-shaped;
the first travel mechanism includes: the C-shaped contact body is matched with the first guide rail, and at least one group of driving wheels are arranged on the contact surface of the C-shaped contact body and the section of the first guide rail.
3. The method for real-time monitoring and early warning of a piping lane leakage status according to claim 1, wherein said associating the first image with each first position point of a preset piping lane map based on the first positioning information includes:
analyzing first positioning information corresponding to each first image, and determining first coordinates;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point;
and associating each first image with a first position point with the smallest distance value.
4. The method for real-time monitoring and forewarning of a leak condition of a pipe lane according to claim 1, wherein said determining the leak condition of each first location point based on said first image corresponding to each first location point comprises:
extracting the characteristics of each first image to obtain a plurality of first characteristic values corresponding to each first image;
constructing a feature parameter set corresponding to each first image based on a plurality of first feature values;
matching the characteristic parameter set with analysis parameter sets corresponding to and associated with each state analysis result in a preset state identification library;
extracting a state analysis result corresponding to and associated with the analysis parameter set matched with the characteristic parameter set;
analyzing the state analysis results corresponding to the first images corresponding to the first position points, and determining the leakage state of each first position point.
5. The method for real-time monitoring and forewarning of a leak condition of a pipe rack as defined in claim 1, further comprising:
acquiring the environment information of the current pipe gallery;
extracting the characteristics of the environment information to obtain a plurality of second characteristic values;
constructing a condition analysis set based on a plurality of the second characteristic values;
matching the condition analysis set with a standard condition set corresponding to and associated with each early warning condition correction result in a preset condition correction library;
acquiring and correcting early warning condition correction results corresponding to the standard condition set matched with the condition analysis set;
judging whether to send out an early warning or not based on the corrected early warning condition;
and outputting early warning information when the result is yes.
6. The method for real-time monitoring and forewarning of a leak condition of a pipe rack as defined in claim 1, further comprising:
acquiring a second image and second positioning information acquired by a second image acquisition module arranged on the periphery of the inner pipeline of the pipe gallery;
based on the second positioning information, correspondingly associating the second image with each second position point on a preset pipeline;
determining the leakage state of each second position point based on the second image corresponding to each second position point;
and outputting early warning information when the leakage state of the second position point is leakage.
7. The method for real-time monitoring and forewarning of a leak condition of a pipe rack as defined in claim 6, wherein said second image acquisition device comprises:
the second guide rail is spiral, is arranged on the periphery of a pipeline of the pipeline gallery and is paved along the direction of the pipeline;
the second equipment platform is arranged on the second guide rail in a sliding way through a second travelling mechanism;
the fixed end of the second rotating mechanism is fixedly arranged on the second equipment platform;
the second camera and the second lighting mechanism are arranged at the tail end of the rotating end of the second rotating mechanism.
8. A real-time monitoring and early warning system for a piping lane leak condition, comprising:
the acquisition module is used for acquiring first images and first positioning information acquired by the first image acquisition devices arranged on two sides of the interior of the pipe gallery;
the association module is used for correspondingly associating the first image with each first position point of a preset pipe gallery map based on the first positioning information;
the analysis module is used for determining the leakage state of each first position point based on the first image corresponding to each first position point;
and the early warning output module is used for outputting early warning information when the leakage state of the first position point accords with a preset early warning condition.
9. The piping lane leak status real-time monitoring and warning system as defined in claim 8, wherein said first image acquisition device comprises:
a first guide rail provided on a side wall of the pipe lane and laid along a direction of a pipe in the pipe lane;
the first equipment platform is arranged on the first guide rail in a sliding way through a first travelling mechanism;
the fixed end of the first rotating mechanism is fixedly arranged on the first equipment platform;
the first camera and the first lighting mechanism are arranged at the tail end of the rotating end of the first rotating mechanism;
wherein the section of the first guide rail is I-shaped;
the first travel mechanism includes: the C-shaped contact body is matched with the first guide rail, and at least one group of driving wheels are arranged on the contact surface of the C-shaped contact body and the section of the first guide rail.
10. The system for real-time monitoring and early warning of a piping lane leakage status according to claim 8, wherein said associating module, based on said first positioning information, associates said first image with each first position point of a preset piping lane map, performs the following operations:
analyzing first positioning information corresponding to each first image, and determining first coordinates;
calculating a distance value of the first coordinate and a second coordinate corresponding to each first position point;
and associating each first image with a first position point with the smallest distance value.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106454226A (en) * | 2016-09-09 | 2017-02-22 | 苏州光格设备有限公司 | 360-degree panorama technology based integrated pipe corridor online monitoring and alarming method and system |
US20180341859A1 (en) * | 2017-05-24 | 2018-11-29 | Southwest Research Institute | Detection of Hazardous Leaks from Pipelines Using Optical Imaging and Neural Network |
CN110718035A (en) * | 2019-11-04 | 2020-01-21 | 江苏安防科技有限公司 | Monitoring and early warning system based on sudden spontaneous combustion hazard in pipe rack space |
CN111504377A (en) * | 2020-04-27 | 2020-08-07 | 江苏建筑职业技术学院 | Utility tunnel intelligent monitoring system |
CN212750048U (en) * | 2020-07-10 | 2021-03-19 | 特斯联科技集团有限公司 | Pipe gallery monitoring and alarming system based on Internet of things |
CN113139731A (en) * | 2021-04-29 | 2021-07-20 | 上海智大电子有限公司 | Safety perception early warning method and system for underground pipe gallery |
CN114495019A (en) * | 2022-04-15 | 2022-05-13 | 中国矿业大学(北京) | Real-time monitoring and dynamic feedback method for leakage diseases of pipe gallery |
CN116778690A (en) * | 2023-06-12 | 2023-09-19 | 武汉市市政道路排水工程有限公司 | Monitoring and alarming method and system for pipe gallery water leakage |
-
2023
- 2023-10-12 CN CN202311320535.2A patent/CN117387009B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106454226A (en) * | 2016-09-09 | 2017-02-22 | 苏州光格设备有限公司 | 360-degree panorama technology based integrated pipe corridor online monitoring and alarming method and system |
US20180341859A1 (en) * | 2017-05-24 | 2018-11-29 | Southwest Research Institute | Detection of Hazardous Leaks from Pipelines Using Optical Imaging and Neural Network |
CN110718035A (en) * | 2019-11-04 | 2020-01-21 | 江苏安防科技有限公司 | Monitoring and early warning system based on sudden spontaneous combustion hazard in pipe rack space |
CN111504377A (en) * | 2020-04-27 | 2020-08-07 | 江苏建筑职业技术学院 | Utility tunnel intelligent monitoring system |
CN212750048U (en) * | 2020-07-10 | 2021-03-19 | 特斯联科技集团有限公司 | Pipe gallery monitoring and alarming system based on Internet of things |
CN113139731A (en) * | 2021-04-29 | 2021-07-20 | 上海智大电子有限公司 | Safety perception early warning method and system for underground pipe gallery |
CN114495019A (en) * | 2022-04-15 | 2022-05-13 | 中国矿业大学(北京) | Real-time monitoring and dynamic feedback method for leakage diseases of pipe gallery |
CN116778690A (en) * | 2023-06-12 | 2023-09-19 | 武汉市市政道路排水工程有限公司 | Monitoring and alarming method and system for pipe gallery water leakage |
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