CN113239447B - Indoor pipeline abnormality detection system and method - Google Patents
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Abstract
The scheme belongs to the technical field of pipelines, and particularly relates to an indoor pipeline abnormality detection system and method. Comprising the following steps: and a detection module: the detection information is used for comprehensively detecting the type, the position, the embedding depth and the pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to acquire equidistant segmented detection information of the pipeline; the analysis module stores a normal pipeline pressure value range, and when the analysis module receives pressure values of different sections of the same pipeline, the detection information is compared with the pressure value of the normal pipeline to obtain comparison data; and a judging module: the method comprises the steps of judging whether the comparison data is in an error range or not, and judging the comparison data to be abnormal data when the difference value of the comparison data is not in the error range; the AR image of indoor pipeline can be observed to this scheme, can also see the unusual department and the unusual data of pipeline in the time of can observing, and then the analysis overhauls for the repair work is more convenient, and the repair effect is better.
Description
Technical Field
The scheme belongs to the technical field of pipelines, and particularly relates to an indoor pipeline abnormality detection system and method.
Background
Along with the continuous improvement of the economic level, the requirements of people on the life quality are also higher and higher. Old decoration and unreasonable infrastructure in the old house bring a lot of inconvenience to life, and the decoration and reconstruction of the old house become a difficult problem. Old house improvement is as simple as new house decoration, and especially the original hydropower distribution circuit diagram may be lost due to the long time of the year, so that great inconvenience is brought to renovation and improvement. And the indoor pipeline can be abnormal due to various reasons in long-term use, and detection and maintenance are required in the renovation process.
Patent application number CN202010033893.5 discloses a pipe network exception management system, specifically includes: the monitoring terminals are uniformly distributed in the water service pipe network, acquire real-time pipe network data once every preset time and output the real-time pipe network data; the background terminal is respectively connected with each monitoring terminal, and specifically comprises: the first storage unit is used for storing real-time pipe network data; the first processing unit is connected with the first storage unit, continuously extracts the real-time pipe network data corresponding to each monitoring terminal for processing, continuously forms a real-time trend curve corresponding to each monitoring terminal, and continuously outputs a corresponding real-time slope value according to the real-time trend curve; the judging unit is connected with the first processing unit and used for judging whether the real-time slope value is larger than a first preset threshold value or not and outputting a judging result; the second storage unit is used for storing a pre-trained bursting leakage judging model which is used for judging bursting leakage conditions of pipe sections in the water service pipe network; the second processing unit is connected with the judging unit, the first storage unit and the second storage unit, when the real-time slope value corresponding to any one monitoring terminal is larger than a first preset threshold value according to the judging result, the corresponding real-time pipe network data stored in the first storage unit are input into the bursting and leakage judging model, and a bursting and leakage judging result used for representing bursting and leakage conditions of the pipe section is output through the bursting and leakage judging model; and the third processing unit is connected with the second processing unit and outputs corresponding maintenance and investigation suggestions according to the explosion and leakage judging result.
According to the scheme, the high-precision monitoring equipment and the high-frequency collector are used for detecting water service data of the pipe network, then the bursting leakage condition of the pipe section in the water service pipe network is analyzed in real time, and further active prediction and technical early warning of pipe bursting are achieved. However, if the high-precision monitoring equipment and the high-frequency collector are not arranged in the room where people live or do not live for a long time, real-time detection and technical early warning cannot be performed, the pipeline abnormality cannot be found in the repairing process, so that the pipeline cannot be maintained in time or cannot be used after repairing.
Disclosure of Invention
The technical scheme provides an indoor pipeline abnormality detection system and method, so that the problem that indoor pipeline abnormality can be detected under the condition that high-precision monitoring equipment and a high-frequency collector are not available is solved.
In order to achieve the above object, the present solution provides an indoor pipeline abnormality detection system, including:
and a detection module: the detection information is used for comprehensively detecting the type, the position, the embedding depth and the pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to acquire equidistant segmented detection information of the pipeline; the detection data also comprises the position relation between the marker and the wall
And an analysis module: for receiving and analyzing the probe information; the analysis module stores a normal pipeline pressure value range, and when the analysis module receives pressure values of different sections of the same pipeline, the detection information is compared with the pressure value of the normal pipeline to obtain comparison data;
and a judging module: the method comprises the steps of judging whether the comparison data is in an error range or not, and judging the comparison data to be abnormal data when the difference value of the comparison data is not in the error range;
and the camera module: the real scene used for shooting the indoor ground forms a shooting image;
modeling module: the three-dimensional model is used for building and storing pipelines; the three-dimensional model of the pipeline comprises a ground part and a pipeline embedded part; after receiving the detection data and the shot image, the modeling module performs virtual scene fusion by taking the marker as an origin, namely, the indoor pipeline three-dimensional model and the shot image are overlapped and fused to form an AR image, and the AR image is sent to the AR module;
AR module: the method comprises the steps of receiving and displaying an AR image, and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
the marker is as follows: and the AR module is used for triggering the AR module to display the image of the AR image.
The principle of the scheme is as follows: firstly, detecting and identifying pipelines buried in a wall or a bottom plate indoors by adopting a detection module, acquiring information of the type, the position, the buried depth and the same sectional pressure of the buried pipelines, then selecting a proper place indoors to establish a marker, and then measuring the position relationship between the marker and the wall by adopting the detection module. And after receiving the detection information, the analysis module compares the pressure values of different sections of the same pipeline with the pressure values of normal pipelines stored in the analysis module, transmits the comparison data to the judgment module, judges that the difference value of the comparison data is not in an error range, then the camera module shoots a real scene of the indoor ground to form a shooting image, and after receiving the shooting image and the detection data, the modeling module carries out virtual scene fusion by taking a marker as an origin, namely, the indoor pipeline three-dimensional model and the shooting image are overlapped and fused to form an AR image, the AR module sends the AR image to the AR module, and immediately takes the marker as the origin after the marker is identified, and the AR image is displayed. Meanwhile, the places and data where the pipelines are abnormal are displayed in the AR image.
The beneficial effect of this scheme is: the pressure detection is carried out on different sections of the same pipeline through the detection equipment, the detection information of the pipeline is compared through the analysis module to obtain comparison data, when the difference value of the comparison data exceeds an error range, the comparison data are judged to be abnormal data, the abnormal position and the abnormal data of the pipeline can be seen when the AR image of the indoor pipeline can be observed according to the actual position of the pipeline, and further analysis and overhaul are carried out, so that the overhaul work is more convenient, and the overhaul effect is better.
Further, the detection module further comprises a comparison unit, a medium emission unit and a processing unit, wherein the comparison unit is used for being fixed on two sides of the wall body for a working medium to pass through, the medium emission unit is used for emitting non-parallel working mediums at corresponding positions on two sides of the wall body respectively, the processing unit is used for obtaining pipeline layout information according to the ratio of the image size formed by the comparison unit and the ratio of the image sizes of two pipeline images, and the pipeline layout information comprises embedded depth information.
Firstly, respectively arranging a medium transmitting unit and a medium receiving unit on two sides of a wall body, then, respectively imaging the two sides of the wall body by the medium transmitting unit on one side of the wall body, wherein the side close to the medium transmitting unit is an imaging 1, the side far away from the medium transmitting unit is an imaging 2, then, obtaining the embedded depth information of a pipeline and the diameter information of the pipeline according to the known values of the size of a comparison unit and the imaging 1 and the imaging 2, and when the size of an image formed by the comparison unit is equal to the value of the imaging 1, positioning the pipeline on the side close to the medium transmitting unit; when the image size formed by the contrast unit is equal to the value of the imaging 2, the position of the pipeline is positioned at the side far away from the medium emission unit; and then obtaining the embedded depth information of the pipeline and the diameter information of the pipeline according to the size of the comparison unit and the size of the image formed twice.
Further, the judging module further comprises an alarm device. When the difference value of the comparison data is out of the error range, the alarm device gives an alarm to remind the staff of paying far attention and early maintenance.
Further, in the AR image, the display of the abnormal data of the pipeline is obviously distinguished from the color display of other data. When the AR module is used for displaying the AR image, a worker can be reminded of abnormality of a certain position of the pipeline at any time, and the worker can be reminded of early maintenance.
Further, the detection information also comprises information about whether the bearing wall is empty or not. When the bearing wall is empty, a maintainer scrapes and maintains mud on the bearing wall as soon as possible, so that living experience is better.
Further, the detection information further comprises gas information, and the natural gas pipeline is judged to be abnormal according to the gas concentration detected by the detection module. And then the alarm device sends out alarm sound to remind workers of abnormal natural gas pipelines.
The application also provides an indoor pipeline abnormality detection method, which comprises the following steps:
step one: the detection module detects and identifies pipelines buried in the wall or the bottom plate indoors, and obtains information such as the type, the position, the buried depth, the pipeline pressure and the like of the buried pipelines; the pipeline pressure information is equal-distance sectional pressure of the pipeline;
step two: the analysis module receives and analyzes the detection information; the analysis module compares the received pressure values of different sections of the same pipeline with the pressure values of normal pipelines to obtain comparison data;
step three: when the difference value of the comparison data is not in the error range, judging the difference value as abnormal data;
step four: a proper place is selected in a room to establish a marker, and then the position relation between the marker and the wall is measured by a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shooting image;
step six: transmitting the detection data and the shot image into a modeling module for storage processing, and then carrying out virtual scene fusion by using the marker as an origin of the modeling module;
step seven: overlapping and fusing the indoor pipeline three-dimensional model and the photographed image to form an AR image, and sending the AR image to an AR module;
step eight: after the AR module recognizes the marker, the AR module immediately displays the AR image by taking the marker as an origin, and meanwhile, places and data of abnormal pipelines are displayed in the AR image.
Drawings
FIG. 1 is a diagram of a logic framework of an embodiment of an indoor pipeline anomaly detection system of the present application;
FIG. 2 is a flowchart of an embodiment of a method for detecting an abnormality of an indoor pipeline according to the present application.
FIG. 3 is a diagram showing the pipeline information measurement of the indoor wall body.
Detailed Description
The following is a further detailed description of the embodiments:
the labels in the drawings of this specification include: wall 1, medium transmitting unit 2, medium receiving unit 3, contrast unit 4, sign 5.
An example is substantially as shown in figure 1:
an indoor pipeline anomaly detection system, comprising:
and a detection module: the detection information is used for comprehensively detecting the type, the position, the embedding depth and the pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to acquire equidistant segmented detection information of the pipeline; the detection data also includes a positional relationship of the identifier to the wall.
The detection information also comprises information about whether the bearing wall is empty. When the bearing wall is empty, a maintainer scrapes and maintains mud on the bearing wall as soon as possible, so that living experience is better.
The detection information also comprises gas information, the natural gas pipeline is abnormal according to the gas concentration detected by the detection module, and then the alarm device sends out alarm sound to remind workers of the natural gas pipeline abnormality.
And an analysis module: for receiving and analyzing the probe information; the analysis module stores a normal pipeline pressure value range, and when the analysis module receives pressure values of different sections of the same pipeline, the detection information is compared with the normal pipeline pressure value to obtain comparison data;
and a judging module: the method comprises the steps of judging whether the comparison data is in an error range or not, and judging the comparison data to be abnormal data when the difference value of the comparison data is not in the error range;
the judging module further comprises an alarm device. When the difference value of the comparison data is out of the error range, the alarm device gives an alarm to remind the staff of paying far attention and early maintenance.
And the camera module: the real scene used for shooting the indoor ground forms a shooting image;
modeling module: the three-dimensional model is used for building and storing pipelines; the three-dimensional model of the pipeline comprises a ground part and a pipeline embedded part; after receiving the detection data and the shot image, the modeling module performs virtual scene fusion by taking the marker as an origin, namely, the indoor pipeline three-dimensional model and the shot image are overlapped and fused to form an AR image, and the AR image is sent to the AR module;
in the AR image, the display of the abnormal data of the pipeline is obviously distinguished from the color display of other data. When the AR module is used for displaying the AR image, a worker can be reminded of abnormality of a certain position of the pipeline at any time, and the worker can be reminded of early maintenance.
AR module: the method comprises the steps of receiving and displaying an AR image, and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
the marker is as follows: and the AR module is used for triggering the AR module to display the image of the AR image.
As shown in fig. 3:
the detection module further comprises a comparison unit, a medium emission unit and a processing unit, wherein the comparison unit is used for being fixed on two sides of the wall body for a working medium to pass through, the medium emission unit is used for emitting non-parallel working mediums at corresponding positions on two sides of the wall body respectively, the processing unit is used for obtaining pipeline layout information according to the ratio of the image size formed by the comparison unit and the ratio of the image sizes of two pipelines, and the pipeline layout information comprises embedded depth information. (specifically, the working medium in this embodiment is X-ray)
Firstly, respectively arranging a medium transmitting unit and a medium receiving unit on two sides of a wall body, then, respectively imaging the two sides of the wall body by the medium transmitting unit on one side of the wall body, wherein the side close to the medium transmitting unit is an imaging 1, the side far away from the medium transmitting unit is an imaging 2, then, obtaining the embedded depth information of a pipeline and the diameter information of the pipeline according to the known values of the size of a comparison unit and the imaging 1 and the imaging 2, and when the size of an image formed by the comparison unit is equal to the value of the imaging 1, positioning the pipeline on the side close to the medium transmitting unit; when the image size formed by the contrast unit is equal to the value of the imaging 2, the position of the pipeline is positioned at the side far away from the medium emission unit; and then obtaining the embedded depth information of the pipeline and the diameter information of the pipeline according to the size of the comparison unit and the size of the image formed twice.
The specific operation is as follows: the marker 5 is fixed with the wall 1, then the medium emitting unit 2 and the medium receiving unit 3 are respectively arranged at two sides of the wall 1, the medium emitting unit 2 is started, when a pipeline exists in the wall 1, the contrast unit 4 is arranged at two sides of the wall 1 and between the medium emitting unit 2 and the medium receiving unit 3, then the medium emitting unit 2 is started to emit X-rays at the outer side of the wall 1, the substance of the medium emitting unit 2 is a portable X-ray machine (namely, equipment comprising a basic circuit and an X-ray tube, the X-ray tube emits X-rays with divergent properties), and the medium receiving unit 3 completes the first acquisition at the inner side of the wall 1. And then exchanging the positions of the medium transmitting unit 2 and the medium receiving unit 3 to finish the second acquisition.
Then the processing module can obtain the embedded depth information of the pipeline and the diameter information of the pipeline according to the known size of the comparison unit and the known size of the images formed twice (and the known ratio), so that the construction of the three-dimensional model is completed, and finally the three-dimensional model is saved by the storage module. One account number may then correspond to one three-dimensional model. Different users may also use different identifiers 5 for differentiation.
The application also provides an indoor pipeline abnormality detection method, which is shown in the accompanying figure 2: the method comprises the following steps:
step one: the detection module detects and identifies pipelines buried in the wall or the bottom plate indoors, and obtains information such as the type, the position, the buried depth, the pipeline pressure and the like of the buried pipelines; the pipeline pressure information is equal-distance sectional pressure of the pipeline;
step two: the analysis module receives and analyzes the detection information; the analysis module compares the received pressure values of different sections of the same pipeline with the pressure values of normal pipelines to obtain comparison data;
step three: when the difference value of the comparison data is not in the error range, judging the difference value as abnormal data;
step four: a proper place is selected in a room to establish a marker, and then the position relation between the marker and the wall is measured by a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shooting image;
step six: transmitting the detection data and the shot image into a modeling module for storage processing, and then carrying out virtual scene fusion by using the marker as an origin of the modeling module;
step seven: overlapping and fusing the indoor pipeline three-dimensional model and the photographed image to form an AR image, and sending the AR image to an AR module;
step eight: after the AR module recognizes the marker, the AR module immediately displays the AR image by taking the marker as an origin, and meanwhile, places and data of abnormal pipelines are displayed in the AR image.
The foregoing is merely exemplary embodiments of the present application, and specific structures and features that are well known in the art are not described in detail herein. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present application, and these should also be considered as the scope of the present application, which does not affect the effect of the implementation of the present application and the utility of the patent. The protection scope of the present application is subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.
Claims (6)
1. Indoor pipeline anomaly detection system, its characterized in that: comprising the following steps:
and a detection module: the detection information is used for comprehensively detecting the type, the position, the embedding depth and the pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to acquire equidistant segmented detection information of the pipeline; the detection information also comprises the position relation between the marker and the wall;
and an analysis module: for receiving and analyzing the probe information; the analysis module stores a normal pipeline pressure value range, and when the analysis module receives pressure values of different sections of the same pipeline, the detection information is compared with the pressure value of the normal pipeline to obtain comparison data;
and a judging module: the method comprises the steps of judging whether the comparison data is in an error range or not, and judging the comparison data to be abnormal data when the difference value of the comparison data is not in the error range;
and the camera module: the real scene used for shooting the indoor ground forms a shooting image;
modeling module: the three-dimensional model is used for building and storing pipelines; the three-dimensional model of the pipeline comprises a ground part and a pipeline embedded part; after receiving the detection data and the shot image, the modeling module performs virtual scene fusion by taking the marker as an origin, namely, the indoor pipeline three-dimensional model and the shot image are overlapped and fused to form an AR image, and the AR image is sent to the AR module;
AR module: the method comprises the steps of receiving and displaying an AR image, and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
the marker is as follows: the AR module is used for triggering the AR module to display an image of the AR image, and the positions of the marker and the wall are relatively fixed;
the detection module further comprises a comparison unit, a medium emission unit and a processing unit, wherein the comparison unit is used for being fixed on two sides of the wall body for a working medium to pass through, the medium emission unit is used for emitting non-parallel working mediums at corresponding positions on two sides of the wall body respectively, the processing unit is used for obtaining pipeline layout information according to the ratio of the image size formed by the comparison unit and the ratio of the image sizes of two pipeline images, and the pipeline layout information comprises embedded depth information;
the method comprises the steps that a medium transmitting unit and a medium receiving unit are respectively arranged on two sides of a wall body, then the medium transmitting unit transmits working medium on one side of the wall body, then images are respectively formed on two sides of the wall body, one side close to the medium transmitting unit is an image 1, one side far away from the medium transmitting unit is an image 2, then embedding depth information of a pipeline and diameter information of the pipeline are obtained according to the known size of a comparison unit and the values of the image 1 and the image 2, and when the size of an image formed by the comparison unit is equal to the value of the image 1, the position of the pipeline is located on one side close to the medium transmitting unit; when the image size formed by the contrast unit is equal to the value of the imaging 2, the position of the pipeline is positioned at the side far away from the medium emission unit; and then obtaining the embedded depth information of the pipeline and the diameter information of the pipeline according to the size of the comparison unit and the size of the image formed twice.
2. The indoor pipeline anomaly detection system of claim 1, wherein: the judging module further comprises an alarm device.
3. The indoor pipeline anomaly detection system of claim 1, wherein: in the AR image, the display of the abnormal data of the pipeline is obviously distinguished from the color display of other data.
4. The indoor pipeline anomaly detection system of claim 1, wherein: the detection information also comprises information about whether the bearing wall is empty or not.
5. The indoor pipeline anomaly detection system of claim 1, wherein: the detection information also comprises gas information, and the natural gas pipeline abnormality can be judged according to the gas concentration detected by the detection module.
6. An indoor pipeline abnormality detection method adopting the system as claimed in any one of claims 1 to 5, characterized in that: the method comprises the following steps:
step one: the detection module detects and identifies pipelines buried in the wall or the bottom plate indoors, and obtains the type, position, buried depth and pipeline pressure information of the buried pipelines; the pipeline pressure information is equal-distance sectional pressure of the pipeline;
step two: the analysis module receives and analyzes the detection information; the analysis module compares the received pressure values of different sections of the same pipeline with the pressure values of normal pipelines to obtain comparison data;
step three: when the difference value of the comparison data is not in the error range, judging the difference value as abnormal data;
step four: a proper place is selected in a room to establish a marker, and then the position relation between the marker and the wall is measured by a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shooting image;
step six: transmitting the detection data and the shot image into a modeling module for storage processing, and then carrying out virtual scene fusion by using the marker as an origin of the modeling module;
step seven: overlapping and fusing the indoor pipeline three-dimensional model and the photographed image to form an AR image, and sending the AR image to an AR module;
step eight: after the AR module recognizes the marker, the AR module immediately displays the AR image by taking the marker as an origin, and meanwhile, places and data of abnormal pipelines are displayed in the AR image.
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