CN113239447A - Indoor pipeline abnormity detection system and method - Google Patents
Indoor pipeline abnormity detection system and method Download PDFInfo
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Abstract
The scheme belongs to the technical field of pipelines, and particularly relates to an indoor pipeline abnormity detection system and method. The method comprises the following steps: a detection module: the detection information is used for comprehensively detecting the type, position, embedding depth and pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to obtain equidistant segmented detection information of the pipeline; the analysis module is internally provided with 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; a judging module: the device is used for judging whether the comparison data is in an error range or not, and judging the comparison data as abnormal data when the difference value of the comparison data is not in the error range; this scheme can also see the unusual part and the abnormal data of pipeline when observing the AR image of indoor pipeline, and then the analysis is overhauld for the overhaul work is more convenient, and the overhaul effect is better.
Description
Technical Field
The scheme belongs to the technical field of pipelines, and particularly relates to an indoor pipeline abnormity detection system and method.
Background
With the continuous improvement of economic level, the requirements of people on the quality of life are higher and higher. Old decoration and unreasonable infrastructure in old houses bring much inconvenience to life, and decoration and transformation of old houses also become a difficult problem. Old house reformation is different from new house decoration so simply, especially original hydroelectric drainage wiring road map probably loses because the time of the year is long, brings a lot of inconveniences for renovating and reforming. And the indoor pipeline may be abnormal due to various reasons in long-term use, and detection and maintenance are required in the renovating process.
Patent with application number CN202010033893.5 discloses a management system for pipe network exception, which specifically includes: the monitoring terminals are uniformly distributed in the water service pipe network, and the real-time pipe network data are collected once every preset time and output; 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 so as to continuously form 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, judges whether the real-time slope value is greater than a first preset threshold value or not, and outputs a judging result; the second storage unit stores a pre-trained explosion and leakage judgment model, and the explosion and leakage judgment model is used for judging the explosion and leakage condition of the pipe section in the water service management network; the second processing unit is connected with the judging unit, the first storage unit and the second storage unit, and is used for inputting the corresponding real-time pipe network data stored in the first storage unit into the explosion and leakage judging model according to the judging result when the real-time slope value corresponding to any one monitoring terminal is larger than a first preset threshold value, and outputting an explosion and leakage judging result for expressing the explosion and leakage condition of the pipe section through the explosion and leakage judging model; and the third processing unit is connected with the second processing unit and outputs corresponding maintenance and troubleshooting suggestions according to the explosion and leakage judgment result.
According to the scheme, the high-precision monitoring equipment and the high-frequency collector are used for detecting the water service data of the pipe network, then the explosion and leakage conditions of pipe sections in the water service pipe network are analyzed in real time, and further the active prediction and the technical early warning of the burst of the pipeline are realized. However, high-precision monitoring equipment and a high-frequency collector are not arranged in a room where people live or do not live for a long time, real-time detection and technical early warning cannot be carried out, and pipeline abnormity cannot be found in the overhaul process, so that the pipeline cannot be maintained in time or cannot be used after the overhaul.
Disclosure of Invention
The scheme provides an indoor pipeline abnormity detection system and method, and aims to detect indoor pipeline abnormity without high-precision monitoring equipment and a high-frequency collector.
In order to achieve the above object, the present scheme provides an indoor pipeline anomaly detection system, including:
a detection module: the detection information is used for comprehensively detecting the type, position, embedding depth and pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to obtain equidistant segmented detection information of the pipeline; the detection data further comprises the position relation between the marker and the wall
An analysis module: for receiving and analyzing the probe information; the analysis module is internally provided with 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;
a judging module: the device is used for judging whether the comparison data is in an error range or not, and judging the comparison data as abnormal data when the difference value of the comparison data is not in the error range;
a camera module: the system is used for shooting a real scene of the indoor ground to form a shot image;
a modeling module: the three-dimensional model is used for establishing and storing a pipeline; the three-dimensional model of the pipeline comprises a ground part and a pipeline embedded part; the modeling module performs virtual scene fusion by taking the marker as an origin after receiving the detection data and the shot image, namely, the indoor pipeline three-dimensional model and the shot image are superposed and fused to form an AR image and the AR image is sent to the AR module;
an AR module: the system comprises an AR image acquisition module, a data display module and a data display module, wherein the AR image acquisition module is used for acquiring and displaying an AR image and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
a marker: and the image is used for triggering the AR module to display the AR image.
The principle of the scheme is as follows: firstly, a detection module is adopted to detect and identify indoor pipelines buried in a wall or a bottom plate, the information of the type, the position, the buried depth and the same sectional pressure of the buried pipelines is obtained, then a proper place is selected indoors to establish a marker, and then the detection module also measures the position relation between the marker and the wall. Then the analysis module receives the detection information, 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 the comparison data as abnormal data when the difference value of the comparison data is not within the error range, then the camera module shoots the real scene of the indoor ground to form a shot image, then the modeling module receives the shot image and the detection data, and takes the marker as the origin to perform virtual scene fusion, namely, the indoor pipeline three-dimensional model and the shot image are superposed and fused to form an AR image which is sent to the AR module, and then the AR module immediately takes the marker as the origin to display the AR image after identifying the marker. Meanwhile, the abnormal place and data of the pipeline are also displayed in the AR image.
The beneficial effect of this scheme does: carry out pressure detection to the different sections of same pipeline through detection equipment to compare the detection information of pipeline through analysis module and draw contrast data, when contrast data's difference exceeded error range, judge for unusual data, and show in the AR image according to the actual position of pipeline, can also see the unusual part and the unusual data of pipeline when can observing the AR image of indoor pipeline, and then the analysis is overhauld, make the overhaul work more convenient, the overhaul effect is better.
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 to allow a working medium to pass through, the medium emission unit is used for emitting non-parallel working media 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 size of the image formed by the comparison unit and the ratio of the size of the image of the two pipelines, and the pipeline layout information comprises embedded depth information.
Firstly, respectively arranging a medium transmitting unit and a medium receiving unit at two sides of a wall body, then transmitting a working medium by the medium transmitting unit at one side of the wall body, then respectively imaging at two sides of the wall body, wherein one side close to the medium transmitting unit is an imaging 1, and one 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 value of the contrast unit and the imaging 1 and the imaging 2, and when the size of an image formed by the contrast unit is equal to the value of the imaging 1, the position of the pipeline is positioned at one side close to the medium transmitting unit; when the size of the image formed by the contrast unit is equal to the value of the image 2, the position of the pipeline is positioned on the side far away from the medium emission unit; then, the embedding depth information of the pipeline and the diameter information of the pipeline can be obtained according to the size of the comparison unit and the size of the image formed twice.
Furthermore, the judging module also 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 worker of paying far attention and maintaining as early as possible.
Furthermore, 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 staff shows the AR image with the AR module, the staff can be reminded that a certain part of the pipeline is abnormal at any time, and the staff asks for early maintenance.
Further, the detection information also comprises information whether the bearing wall is empty and bloated. When the bearing wall took place the hollowing, maintenance personal scraped the maintenance with the mud on the bearing wall as early as for the experience of living feels better.
Further, the detection information also comprises gas information, and the natural gas pipeline can be judged to be abnormal according to the gas concentration detected by the detection module. The alarm device sends out an alarm sound immediately to remind a worker that the natural gas pipeline is abnormal.
The invention also provides an indoor pipeline abnormity detection method, which comprises the following steps:
the method comprises the following steps: the detection module detects and identifies the indoor pipelines embedded in the wall or the bottom plate to acquire information such as the type, the position, the embedding depth, the pipeline pressure and the like of the embedded pipelines; the pipeline pressure intensity information is the equidistant sectional pressure intensity 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 value of a normal pipeline to obtain comparison data;
step three: when the difference value of the comparison data is not within the error range, judging the comparison data as abnormal data;
step four: selecting a proper place indoors to establish a marker, and then measuring the position relation between the marker and the wall by using a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shot image;
step six: the detection data and the shot image are transmitted into a modeling module for storage processing, and then the modeling module performs virtual scene fusion by taking the marker as an origin;
step seven: superposing and fusing the indoor pipeline three-dimensional model and the shot image to form an AR image and sending the AR image to an AR module;
step eight: after the AR module identifies the marker, the AR module immediately takes the marker as an origin to display the AR image, and meanwhile, the place where the pipeline is abnormal and the data are displayed in the AR image.
Drawings
FIG. 1 is a logic block diagram of an embodiment of an indoor pipeline anomaly detection system according to the present invention;
fig. 2 is a flowchart of an embodiment of an indoor pipeline abnormality detection method according to the present invention.
FIG. 3 is a diagram of the measurement of pipeline information of the indoor wall according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
the reference numbers in the drawings of the specification include: the device comprises a wall body 1, a medium emitting unit 2, a medium receiving unit 3, a comparison unit 4 and a marker 5.
The embodiment is basically as shown in the attached figure 1:
an indoor pipeline anomaly detection system comprising:
a detection module: the detection information is used for comprehensively detecting the type, position, embedding depth and pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to obtain equidistant segmented detection information of the pipeline; the probe data also includes a positional relationship of the marker to the wall.
The detection information also includes information on whether hollowing of the bearing wall has occurred. When the bearing wall took place the hollowing, maintenance personal scraped the maintenance with the mud on the bearing wall as early as for the experience of living feels better.
The detection information also comprises gas information, the natural gas pipeline can be judged to be abnormal according to the gas concentration detected by the detection module, and the alarm device immediately gives an alarm to remind a worker that the natural gas pipeline is abnormal.
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;
a judging module: the device is used for judging whether the comparison data is in the error range or not, and judging the comparison data as abnormal data when the difference value of the comparison data is not in the error range;
the judging module also 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 worker of paying far attention and maintaining as early as possible.
A camera module: the system is used for shooting a real scene of the indoor ground to form a shot image;
a modeling module: the three-dimensional model is used for establishing and storing a pipeline; 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 superposed 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 staff shows the AR image with the AR module, the staff can be reminded that a certain part of the pipeline is abnormal at any time, and the staff asks for early maintenance.
An AR module: the system comprises an AR image acquisition module, a data display module and a data display module, wherein the AR image acquisition module is used for acquiring and displaying an AR image and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
a marker: and the image is used for triggering the AR module to display the AR image.
As shown in fig. 3:
the detection module further comprises a comparison unit, a medium emitting unit and a processing unit, wherein the comparison unit is used for being fixed on two sides of the wall body to allow working media to pass through, the medium emitting unit is used for emitting non-parallel working media 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 sizes of the images formed by the comparison unit and the ratio of the sizes of the images of the 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 at two sides of a wall body, then transmitting a working medium by the medium transmitting unit at one side of the wall body, then respectively imaging at two sides of the wall body, wherein one side close to the medium transmitting unit is an imaging 1, and one 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 value of the contrast unit and the imaging 1 and the imaging 2, and when the size of an image formed by the contrast unit is equal to the value of the imaging 1, the position of the pipeline is positioned at one side close to the medium transmitting unit; when the size of the image formed by the contrast unit is equal to the value of the image 2, the position of the pipeline is positioned on the side far away from the medium emission unit; then, the embedding depth information of the pipeline and the diameter information of the pipeline can be obtained according to the size of the comparison unit and the size of the image formed twice.
The method comprises the following specific operations: the method comprises the steps of fixing a marker 5 with a wall 1, respectively arranging a medium transmitting unit 2 and a medium receiving unit 3 on two sides of the wall 1, starting the medium transmitting unit 2, when a pipeline exists in the wall 1, arranging a contrast unit 4 on two sides of the wall 1 and between the medium transmitting unit 2 and the medium receiving unit 3, then starting the medium transmitting unit 2 to transmit X-rays on the outer side of the wall 1, wherein the medium transmitting unit 2 is a portable X-ray machine (namely equipment comprising a basic circuit and an X-ray tube, and the X-ray tube transmits the X-rays with divergent properties), and the medium receiving unit 3 finishes primary collection on the inner side of the wall 1. Then the positions of the medium transmitting unit 2 and the medium receiving unit 3 are exchanged, and the second acquisition is completed.
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 (and the known ratio) of the image formed twice because the size of the comparison unit is known, thereby completing the construction of the three-dimensional model, and finally the three-dimensional model is stored by the storage module. One account number may then correspond to one three-dimensional model. It is also possible that different users use different identifiers 5 for the distinction.
The invention also provides an indoor pipeline abnormity detection method, which is shown in the attached figure 2: the method comprises the following steps:
the method comprises the following steps: the detection module detects and identifies the indoor pipelines embedded in the wall or the bottom plate to acquire information such as the type, the position, the embedding depth, the pipeline pressure and the like of the embedded pipelines; the pipeline pressure intensity information is the equidistant sectional pressure intensity 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 value of a normal pipeline to obtain comparison data;
step three: when the difference value of the comparison data is not within the error range, judging the comparison data as abnormal data;
step four: selecting a proper place indoors to establish a marker, and then measuring the position relation between the marker and the wall by using a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shot image;
step six: the detection data and the shot image are transmitted into a modeling module for storage processing, and then the modeling module performs virtual scene fusion by taking the marker as an origin;
step seven: superposing and fusing the indoor pipeline three-dimensional model and the shot image to form an AR image and sending the AR image to an AR module;
step eight: after the AR module identifies the marker, the AR module immediately takes the marker as an origin to display the AR image, and meanwhile, the place where the pipeline is abnormal and the data are displayed in the AR image.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (7)
1. Indoor pipeline anomaly detection system, its characterized in that: the method comprises the following steps:
a detection module: the detection information is used for comprehensively detecting the type, position, embedding depth and pressure of the embedded pipeline through infrared rays, ultrasonic waves and millimeter waves; the same pipeline is subjected to segmented detection to obtain equidistant segmented detection information of the pipeline; the detection data further comprises the position relation between the marker and the wall;
an analysis module: for receiving and analyzing the probe information; the analysis module is internally provided with 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;
a judging module: the device is used for judging whether the comparison data is in an error range or not, and judging the comparison data as abnormal data when the difference value of the comparison data is not in the error range;
a camera module: the system is used for shooting a real scene of the indoor ground to form a shot image;
a modeling module: the three-dimensional model is used for establishing and storing a pipeline; the three-dimensional model of the pipeline comprises a ground part and a pipeline embedded part; the modeling module performs virtual scene fusion by taking the marker as an origin after receiving the detection data and the shot image, namely, the indoor pipeline three-dimensional model and the shot image are superposed and fused to form an AR image and the AR image is sent to the AR module;
an AR module: the system comprises an AR image acquisition module, a data display module and a data display module, wherein the AR image acquisition module is used for acquiring and displaying an AR image and displaying the position and abnormal data of an abnormal position of an actual pipeline in the AR image;
a marker: the AR module is used for triggering the AR module to display the image of the AR image, and the position of the marker and the position of the wall body are relatively fixed.
2. The indoor pipeline stereo model generation system according to claim 1, wherein: 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 to allow working media to pass through, the medium emission unit is used for emitting non-parallel working media 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 sizes of the images formed by the comparison unit and the ratio of the sizes of the images of the two pipelines, and the pipeline layout information comprises embedded depth information.
3. The indoor pipe abnormality detection system according to claim 1, characterized in that: the judging module also comprises an alarm device.
4. The indoor pipe abnormality detection system according to claim 1, characterized in that: in the AR image, the display of the abnormal data of the pipeline is obviously distinguished from the color display of other data.
5. The indoor pipe abnormality detection system according to claim 1, characterized in that: the detection information also comprises information whether the bearing wall is empty or not.
6. The indoor pipe abnormality detection system according to claim 1, characterized in that: the detection information also comprises gas information, and the natural gas pipeline can be judged to be abnormal according to the gas concentration detected by the detection module.
7. The indoor pipeline abnormity detection method is characterized in that: the method comprises the following steps:
the method comprises the following steps: the detection module detects and identifies the indoor pipelines embedded in the wall or the bottom plate to acquire information such as the type, the position, the embedding depth, the pipeline pressure and the like of the embedded pipelines; the pipeline pressure intensity information is the equidistant sectional pressure intensity 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 value of a normal pipeline to obtain comparison data;
step three: when the difference value of the comparison data is not within the error range, judging the comparison data as abnormal data;
step four: selecting a proper place indoors to establish a marker, and then measuring the position relation between the marker and the wall by using a detection module;
step five: shooting a real field of the indoor ground by using a camera module to form a shot image;
step six: the detection data and the shot image are transmitted into a modeling module for storage processing, and then the modeling module performs virtual scene fusion by taking the marker as an origin;
step seven: superposing and fusing the indoor pipeline three-dimensional model and the shot image to form an AR image and sending the AR image to an AR module;
step eight: after the AR module identifies the marker, the AR module immediately takes the marker as an origin to display the AR image, and meanwhile, the place where the pipeline is abnormal and the data are displayed in the AR image.
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