CN112434081A - Underground pipeline data inspection method and device, electronic equipment and storage medium - Google Patents
Underground pipeline data inspection method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN112434081A CN112434081A CN202011344017.0A CN202011344017A CN112434081A CN 112434081 A CN112434081 A CN 112434081A CN 202011344017 A CN202011344017 A CN 202011344017A CN 112434081 A CN112434081 A CN 112434081A
- Authority
- CN
- China
- Prior art keywords
- data
- abnormal
- pipeline
- detection
- underground pipeline
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 70
- 238000007689 inspection Methods 0.000 title claims abstract description 56
- 230000002159 abnormal effect Effects 0.000 claims abstract description 150
- 238000001514 detection method Methods 0.000 claims abstract description 88
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 27
- 239000010410 layer Substances 0.000 claims description 70
- 238000010586 diagram Methods 0.000 claims description 27
- 238000004364 calculation method Methods 0.000 claims description 17
- 239000002344 surface layer Substances 0.000 claims description 14
- 230000003139 buffering effect Effects 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 230000008569 process Effects 0.000 abstract description 14
- 238000013507 mapping Methods 0.000 abstract description 3
- 238000012545 processing Methods 0.000 description 7
- 230000005856 abnormality Effects 0.000 description 5
- 238000007726 management method Methods 0.000 description 4
- 238000009933 burial Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000009412 basement excavation Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 101100221616 Halobacterium salinarum (strain ATCC 29341 / DSM 671 / R1) cosB gene Proteins 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Human Resources & Organizations (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Pipeline Systems (AREA)
Abstract
The application provides an underground pipeline data checking method and device, electronic equipment and a storage medium, and relates to the technical field of surveying and mapping. The underground pipeline data inspection method comprises the following steps: acquiring underground pipeline detection data; and analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm. In the embodiment of the application, the preset algorithm is utilized to perform corresponding analysis on various types of detection data respectively, different types of pipeline abnormal data are obtained according to the analysis result, abnormal inspection can be performed on the pipeline data in the data obtaining and establishing process, and the problems of low operation timeliness and low efficiency when inspection is performed after a spatial database is completely established during data detection on a long-distance pipeline are solved. In addition, the data inspection scheme of the embodiment of the application has low requirements on the operation level and professional knowledge of operators, and improves the performability and timeliness of underground pipeline data inspection.
Description
Technical Field
The application relates to the technical field of surveying and mapping, in particular to an underground pipeline data checking method and device, electronic equipment and a storage medium.
Background
Pipeline transportation is the 5 th mode of transportation following road, rail, ship and air transportation. The pipeline detection is a technology for detecting the trend and the burial depth of an underground pipeline by using a detector under the non-excavation condition so as to obtain the three-dimensional coordinate of the actual position of the pipeline. The underground pipeline is effectively detected, and a perfect underground pipeline management system is established, so that the safety and high-quality operation of the underground pipeline can be ensured, and the reasonability of underground space planning and development is promoted. The quality of the underground pipeline detection data is used as a core data source of the underground pipeline management system, and plays a key restriction role in effective operation of the system.
In the prior art, a checking mode based on a spatial database is partially adopted, but in actual work, particularly for the detection of long-distance pipelines, the establishment of the complete spatial database can be completed only after several weeks or even months. In addition, some technologies adopt a rule-based topology inspection method, which generally requires field personnel to perform a complex data operation process, including establishing a temporary database, defining a set of element data sets, defining a series of topology rules, and finally completing the data inspection.
The existing data inspection mode has the advantages of low timeliness, high requirements on software operation level and professional knowledge of field workers, time and labor waste, and easiness in omission and error.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides an underground pipeline data checking method, an underground pipeline data checking device, an electronic device and a storage medium.
The application provides an underground pipeline data inspection method in a first aspect, which comprises the following steps:
acquiring underground pipeline detection data, wherein the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data;
analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
Optionally, when the exception data includes: when the central line data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises the following steps:
generating detection point diagram layer data through pipeline center line data in the detection data;
connecting the data of the detection point diagram layer into a line to generate a pipeline central line;
carrying out angle inspection by using the node data on the pipeline central line to generate an angle inspection result;
and screening out self-intersection data of the central line and curvature abnormal data of the central line according to the angle checking result.
Optionally, when the exception data includes: when the data of the three piles and one plate are abnormal, analyzing and acquiring the abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the method comprises the following steps:
generating three-pile one-card layer data according to the three-pile one-card data in the detection data;
calculating a first shortest distance between the three-pile one-brand image layer data and the pipeline center line;
and taking the three-pile one-card data with the first shortest distance exceeding a preset threshold value as three-pile one-card abnormal data.
Optionally, when the exception data includes: when the crossing data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises the following steps:
generating pipeline crossing point diagram layer data through crossing data in the detection data;
calculating a second shortest distance between the data of the crossing point diagram and the central line of the pipeline;
and taking the crossing data with the second shortest distance not being 0 as pipeline crossing abnormal data.
Optionally, when the exception data includes: when the hydraulic protection data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises:
generating hydraulic protection surface layer data according to the hydraulic protection data in the detection data;
buffering the pipeline central line to generate a distance buffer area layer;
performing superposition analysis on the data of the layer of the hydraulic protection surface and the layer of the distance buffer area to obtain a superposition result;
and acquiring data outside the distance buffer area layer as hydraulic protection abnormal data according to the superposition result.
Optionally, when the exception data includes: when station valve room data is abnormal, according to the detection data and a preset algorithm, the abnormal data of the underground pipeline is analyzed and obtained, and the method comprises the following steps:
generating station valve chamber surface layer data through station valve chamber data in the detection data;
carrying out spatial connection on the pipeline central line and the layer data of the valve chamber surface of the station to obtain a layer data connection result;
and taking station valve chamber data without a pipeline central line passing through in the layer data connection result as station valve chamber abnormal data.
Optionally, after analyzing and acquiring multiple types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, the method further includes:
generating an exception list according to the exception data;
outputting the exception list to a display device.
The present application provides in a second aspect an underground pipeline data inspection apparatus, comprising: an acquisition unit and an analysis calculation unit;
the acquisition unit is used for acquiring underground pipeline detection data, and the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data;
the analysis and calculation unit is used for analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
Optionally, when the exception data includes: when the central line data is abnormal, the analysis calculation unit is used for generating detection point diagram data through the pipeline central line data in the detection data;
connecting the data of the detection point diagram layer into a line to generate a pipeline central line;
carrying out angle inspection by using the node data on the pipeline central line to generate an angle inspection result;
and screening out self-intersection data of the central line and curvature abnormal data of the central line according to the angle checking result.
Optionally, when the exception data includes: when the three-pile one-card data is abnormal, the analysis and calculation unit is used for generating three-pile one-card point layer data according to the three-pile one-card data in the detection data;
calculating a first shortest distance between the three-pile one-brand image layer data and the pipeline center line;
and taking the three-pile one-card data with the first shortest distance exceeding a preset threshold value as three-pile one-card abnormal data.
Optionally, when the exception data includes: when the crossing data is abnormal, the analysis and calculation unit is used for generating pipeline crossing point diagram layer data through the crossing data in the detection data;
calculating a second shortest distance between the data of the crossing point diagram and the central line of the pipeline;
and taking the crossing data with the second shortest distance not being 0 as pipeline crossing abnormal data.
Optionally, when the exception data includes: when the hydraulic protection data is abnormal, the analysis and calculation unit is used for generating hydraulic protection surface layer data according to the hydraulic protection data in the detection data;
buffering the pipeline central line to generate a distance buffer area layer;
performing superposition analysis on the data of the layer of the hydraulic protection surface and the layer of the distance buffer area to obtain a superposition result;
and acquiring data outside the distance buffer area layer as hydraulic protection abnormal data according to the superposition result.
Optionally, when the exception data includes: when the station valve chamber data is abnormal, the analysis and calculation unit is used for generating station valve chamber surface layer data through the station valve chamber data in the detection data;
carrying out spatial connection on the pipeline central line and the layer data of the valve chamber surface of the station to obtain a layer data connection result;
and taking station valve chamber data without a pipeline central line passing through in the layer data connection result as station valve chamber abnormal data.
Optionally, the apparatus further comprises: a list generation unit and a transmission unit;
the list generating unit is used for generating an abnormal list according to the abnormal data;
the sending unit is used for outputting the exception list to display equipment.
A third aspect of the present application provides an electronic device comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is operated, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to perform the steps of the method according to the first aspect.
A fourth aspect of the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to the first aspect.
The application provides an underground pipeline data inspection method, an underground pipeline data inspection device, electronic equipment and a storage medium, wherein the underground pipeline data inspection method comprises the following steps: acquiring underground pipeline detection data, wherein the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data; analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal. In the embodiment of the application, the preset algorithm is utilized to perform corresponding analysis on various types of detection data respectively, different types of pipeline abnormal data are obtained according to the analysis result, abnormal inspection can be performed on the pipeline data in the data obtaining and establishing process, the data abnormality is obtained in time, and the problems of low operation timeliness and low efficiency when inspection is performed after a space database is completely established during data detection on a long-distance pipeline are solved. In addition, the data inspection scheme of the embodiment of the application has the advantages of simple and convenient operation process, lower requirements on the operation level and professional knowledge of operators and improvement on the performability and timeliness of the data inspection of the underground pipeline.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to another embodiment of the present application;
FIG. 3 is a schematic view of an angle check provided in an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to another embodiment of the present application;
FIG. 5 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to another embodiment of the present application;
FIG. 6 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to another embodiment of the present application;
FIG. 7 is a schematic flow chart illustrating a method for inspecting data of an underground utility according to another embodiment of the present application;
FIG. 8 is a schematic view of an underground pipeline data inspection device according to an embodiment of the present application;
FIG. 9 is a schematic view of an underground pipeline data inspection device according to another embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it should be understood that the drawings in the present application are for illustrative and descriptive purposes only and are not used to limit the scope of protection of the present application. Additionally, it should be understood that the schematic drawings are not necessarily drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be performed out of order, and steps without logical context may be performed in reverse order or simultaneously. One skilled in the art, under the guidance of this application, may add one or more other operations to, or remove one or more operations from, the flowchart.
In addition, the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that in the embodiments of the present application, the term "comprising" is used to indicate the presence of the features stated hereinafter, but does not exclude the addition of further features.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Furthermore, the terms "first," "second," and the like in the description and in the claims, as well as in the drawings, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
In order to clearly illustrate the underground pipeline data inspection method provided by the embodiment of the application, a part of standard terms appearing in the method and the application background are explained.
The pipeline detection is a technology for detecting the trend and the burial depth of an underground pipeline by using a detector under the non-excavation condition so as to obtain the three-dimensional coordinate of the actual position of the pipeline. The underground pipeline is effectively detected, and a perfect underground pipeline management system is established, so that the safety and high-quality operation of the underground pipeline can be ensured, and the reasonability of underground space planning and development is promoted. The quality of the underground pipeline detection data is used as a core data source of the underground pipeline management system, and plays a key restriction role in effective operation of the system.
In the prior art, a checking mode based on a spatial database is partially adopted, but in actual work, particularly for detection of long-distance pipelines, the establishment of a complete spatial database is often completed within weeks or even months, so that the checking work loses timeliness. For example: for field detection personnel, if the data quality can be rapidly mastered after the work of the field detection personnel is finished, the data can be timely verified and redetected under the condition that the data with problems are not far away in the next working process, so that the cost is reduced, and the work efficiency is improved.
In addition, some techniques employ rule-based topology inspection, which requires complex data manipulation procedures by field personnel, including: and establishing a temporary database, defining an element data set, defining a series of topological rules, and finally finishing the work of checking data abnormity. The processing process has higher requirements on the software operation level and professional knowledge of field workers, is time-consuming and labor-consuming, and is easy to miss and make mistakes.
In order to solve the technical problems in the prior art, the present application provides an inventive concept: the method has the advantages that the preset algorithm is utilized to correspondingly analyze various types of detection data respectively, different types of pipeline abnormal data are obtained according to the analysis result, abnormal inspection can be carried out on the pipeline data in the data obtaining and establishing process, the data abnormality can be obtained in time, and the problems of low operation timeliness and low efficiency when inspection is carried out after a space database is completely established in the data detection of the long-distance pipeline are solved. In addition, the data inspection scheme of the embodiment of the application has the advantages of simple and convenient operation process, lower requirements on the operation level and professional knowledge of operators and improvement on the performability and timeliness of the data inspection of the underground pipeline.
The following describes a specific technical solution provided by the present application through possible implementation manners.
Fig. 1 is a schematic flowchart of an underground pipeline data inspection method according to an embodiment of the present application, where an execution subject of the method may be an electronic device with computing processing capability, such as a computer, a server, and the like. As shown in fig. 1, the method includes:
s101, acquiring underground pipeline detection data.
Optionally, the probe data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data.
It should be noted that the pipeline center line data is mainly used for recording the plane coordinate information, longitude and latitude information, elevation information, burial depth, survey people, survey date and the like of the pipeline probe point.
Three in three piles one tablet mainly refer to: mileage stake, mark stake (corner stake), encryption stake, a tablet mainly refers to the warning sign. The three-pile one-card data mainly comprises the following steps: three-pile one-card plane coordinate information, longitude and latitude information, type information, measuring person, measuring date and the like.
The crossing data is mainly used for recording the plane coordinate information, longitude and latitude information, elevation information, crossing type information, measuring persons, measuring date and the like of the crossing of the pipeline.
The hydraulic protection data is mainly used for recording vertex plane coordinate information, longitude and latitude information, a measuring person, measuring date and the like of hydraulic protection.
The station valve chamber data is mainly used for recording plane coordinate information, longitude and latitude information, measuring persons, measuring date and the like of the valve chamber.
And S102, analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm.
In the embodiment of the application, various types of abnormal data of the underground pipeline and abnormal data of the auxiliary facilities of the pipeline are acquired and analyzed according to the acquired pipeline data and a preset algorithm. It should be noted that, in the embodiment of the present application, a corresponding preset algorithm is provided for each type of detection data.
Optionally, in an embodiment of the present application, the exception data includes: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
The application provides an underground pipeline data inspection method, which comprises the following steps: acquiring underground pipeline detection data, wherein the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data; analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal. In the embodiment of the application, the preset algorithm is utilized to perform corresponding analysis on various types of detection data respectively, different types of pipeline abnormal data are obtained according to the analysis result, abnormal inspection can be performed on the pipeline data in the data obtaining and establishing process, the data abnormality is obtained in time, and the problems of low operation timeliness and low efficiency when inspection is performed after a space database is completely established during data detection on a long-distance pipeline are solved. In addition, the data inspection scheme of the embodiment of the application has the advantages of simple and convenient operation process, lower requirements on the operation level and professional knowledge of operators and improvement on the performability and timeliness of the data inspection of the underground pipeline.
Fig. 2 is a schematic flow chart of an underground pipeline data inspection method according to another embodiment of the present disclosure. As shown in fig. 2, when the anomaly data includes centerline data anomaly, step S102 may specifically include:
s201, detecting point diagram data are generated through the pipeline center line data in the detection data.
S202, connecting the data of the point diagram layers of the detection points into a line to generate a pipeline central line.
And S203, performing angle inspection by using the node data on the pipeline central line to generate an angle inspection result.
S204, screening out self-intersection data and curvature abnormal data of the central line according to the angle checking result.
It should be noted that, in the embodiment of the present application, the execution of the method is mainly performed by using basic software for mapping and geographic information processing, such as ArcGIS or Arcpy. The layer is the mechanism used to display the geographical data set in the ArcGIS product suite. Each layer represents a data set and specifies how the data set is to be rendered using a set of attributes. The layers are displayed on the map in a particular order, with the layers listed at the bottom being displayed at the top of the map, i.e., the layers added first are displayed below. In the embodiment of the application, based on ArcGIS processing software, the pipeline center line data in the detection data is utilized to generate detection point diagram layer data, and all the detection point diagram layer data are connected into a line to generate the pipeline center line.
And performing angle inspection by using the node data on the central line of the pipeline to generate an angle inspection result. The specific angle checking process is as follows:
and acquiring all nodes on the central line of the pipeline, taking the distance between the node to be detected and two adjacent nodes thereof as a first node distance and a second node distance respectively, taking the distance between two adjacent nodes of the node to be detected as a third node distance, and acquiring the angle inspection result of the node to be detected by using the first node distance, the second node distance and the third node distance. For example, as shown in fig. 3, the node to be measured is taken as B for explanation, distances between the node to be measured and two adjacent nodes a and C are respectively represented as a first node distance a and a second node distance C, and a distance between two adjacent nodes a and C of the node to be measured is represented as a third node distance B, so that the angle calculation result of the node to be measured B is as follows: and cosB ^ a ^2+ c ^2-B ^2/(2 ^ ac), and the node angle of the node B to be detected is 180-B.
And selecting the self-intersection data of the central line and the curvature abnormal data of the central line according to the angle checking result obtained by calculation. And re-detecting the central line data of the underground pipeline at the plane coordinate position corresponding to the abnormal data.
Fig. 4 is a schematic flow chart of an underground pipeline data inspection method according to another embodiment of the present application. As shown in fig. 4, when the abnormal data includes three piles and one card data, the step S102 may specifically include:
s301, generating three-pile one-card-point layer data by detecting three-pile one-card data in the data.
S302, calculating a first shortest distance between the data of the three-pile one-brand image layer and the center line of the pipeline.
And S303, taking the three-pile one-card data with the first shortest distance exceeding the preset threshold value as three-pile one-card abnormal data.
Optionally, in this embodiment of the application, three-pile one-card data in the detection data is used, and specifically, the three-pile one-card layer data may be obtained through plane coordinate information in the three-pile one-card data and through ArcGIS processing. And calculating the shortest distance between the positions of all three piles and one card in the layer data of the point diagram and the central line of the pipeline, and taking the shortest distance as the first shortest distance. And taking the three-pile one-card data exceeding the preset threshold value in the first shortest distance as three-pile one-card abnormal data.
It should be noted that the preset threshold may be set according to the type and quality of the pipeline, which is not limited in the embodiment of the present application.
Fig. 5 is a schematic flow chart of an underground pipeline data inspection method according to another embodiment of the present application. As shown in fig. 5, when the abnormal data includes the crossing data abnormality, step S102 may specifically include:
s401, generating pipeline crossing point diagram layer data through crossing data in the detection data.
S402, calculating a second shortest distance between the data penetrating through the crossing point diagram and the central line of the pipeline.
And S403, taking the crossing data with the second shortest distance not being 0 as abnormal data of pipeline crossing.
Optionally, in this embodiment of the present application, the traversal data in the detection data is used, and specifically, the traversal map layer data may be obtained by plane coordinate information in the traversal data and performing ArcGIS processing. And calculating the shortest distance between all the crossing position points in the data of the crossing point diagram and the central line of the pipeline, and taking the shortest distance as a second shortest distance.
It should be noted that, when there is a crossing, a line formed by crossing data may have an intersecting relationship with a pipeline centerline. Based on this, data other than 0 in the second shortest distance is taken as the pipe-through crossing abnormality data.
Fig. 6 is a schematic flow chart illustrating an underground pipeline data inspection method according to another embodiment of the present application. As shown in fig. 6, when the abnormal data includes: when the hydraulic protection data is abnormal, step S102 may specifically include:
s501, generating the layer data of the hydraulic protection surface by detecting the hydraulic protection data in the data.
S502, buffering the center line of the pipeline to generate a distance buffer map layer.
S503, carrying out superposition analysis on the data of the hydraulic protection surface layer and the distance buffer area layer to obtain a superposition result.
And S504, acquiring data outside the layer of the distance buffer area as abnormal hydraulic protection data according to the superposition result.
In the embodiment of the application, the hydraulic protection surface layer data can be obtained by first using the hydraulic protection data, specifically, vertex plane coordinate information in the hydraulic protection data, and performing ArcGIS processing.
And (4) buffering the central line of the pipeline, namely acquiring an area in a certain range left and right of the central line of the pipeline and generating a distance buffer area layer. And overlapping the data of the distance buffer area layer and the data of the hydraulic protection surface layer, and taking the hydraulic protection data outside the distance buffer area layer as hydraulic protection abnormal data.
FIG. 7 is a schematic flow chart illustrating a method for inspecting underground pipeline data according to another embodiment of the present disclosure. As shown in fig. 7, when the abnormal data includes: when the station valve room data is abnormal, step S102 may specifically include:
s601, generating station valve chamber surface layer data through station valve chamber data in the detection data.
And S602, spatially connecting the pipeline center line with the layer data of the valve chamber surface of the station to obtain a layer data connection result.
And S603, taking the station valve chamber data which does not have the pipeline central line passing through in the data connection result of the drawing as station valve chamber abnormal data.
In the embodiment of the application, the data of the valve chamber surface layer of the station can be obtained by first using the data of the valve chamber of the station, specifically, the plane coordinate information of the data of the valve chamber of the station, and performing ArcGIS processing.
It should be noted that in the embodiment of the present application, the line plane formed by the station valve room data needs to pass through the center line of the pipeline. Based on the data, the pipeline central line is connected with the station valve chamber surface layer data, and the station valve chamber data without the pipeline central line is used as station valve chamber abnormal data.
Optionally, after analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, the method further includes: generating an exception list according to the exception data; outputting the exception list to a display device.
It should be noted that, in the embodiment of the present application, after all the abnormal data are acquired, all the abnormal data may be statistically generated into an abnormal list, for example: excel table. In addition, the generation module may be connected to the display device, and the exception list obtained by the generation module may be sent to the display device.
In the embodiment of the application, all abnormal data can be visually acquired by outputting the abnormal list to the display device, and the corresponding position can be rapidly positioned through the abnormal data, so that the abnormal data can be timely remeasured, and the working efficiency is improved.
The following describes a device and a storage medium for executing the underground pipeline data inspection method provided by the present application, and specific implementation processes and technical effects thereof are referred to above, and will not be described again below.
FIG. 8 is a schematic view of an underground pipeline data inspection device according to an embodiment of the present application, and as shown in FIG. 8, the underground pipeline data inspection device may include: an acquisition unit 701 and an analysis calculation unit 702;
an obtaining unit 701, configured to obtain underground pipeline detection data, where the detection data includes: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data;
the analysis and calculation unit 702 is configured to analyze and obtain multiple types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, where the abnormal data includes: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
Optionally, when the exception data includes: when the centerline data is abnormal, the analyzing and calculating unit 702 is configured to generate detection point diagram layer data according to the pipeline centerline data in the detection data;
connecting the data of the detection point diagram layer into a line to generate a pipeline central line;
carrying out angle inspection by using the node data on the central line of the pipeline to generate an angle inspection result;
and screening out self-intersection data of the central line and curvature abnormal data of the central line according to the angle checking result.
Optionally, when the exception data includes: when the data of three piles and one card is abnormal, the analysis and calculation unit 702 is used for generating layer data of three piles and one card by detecting the data of three piles and one card in the data;
calculating a first shortest distance between the three-pile one-brand point layer data and the pipeline center line;
and taking the three-pile one-card data with the first shortest distance exceeding a preset threshold value as three-pile one-card abnormal data.
Optionally, when the exception data includes: when the crossing data is abnormal, the analysis and calculation unit 702 is configured to generate pipeline crossing point diagram layer data by detecting the crossing data in the data;
calculating a second shortest distance between the data of the crossing point diagram and the central line of the pipeline;
and taking the crossing data with the second shortest distance not being 0 as the pipeline crossing abnormal data.
Optionally, when the exception data includes: when the hydraulic protection data is abnormal, the analysis and calculation unit 702 is configured to generate hydraulic protection surface layer data by detecting the hydraulic protection data in the data;
buffering the central line of the pipeline to generate a distance buffer area layer;
performing superposition analysis on the data of the layer of the hydraulic protection surface and the layer of the distance buffer area to obtain a superposition result;
and acquiring data outside the layer of the distance buffer area as hydraulic protection abnormal data according to the superposition result.
Optionally, when the exception data includes: when the station valve chamber data is abnormal, the analysis and calculation unit 702 is configured to generate station valve chamber surface layer data by detecting the station valve chamber data in the data;
carrying out spatial connection on the pipeline central line and the layer data of the station valve chamber surface to obtain a layer data connection result;
and taking station valve chamber data without a pipeline central line passing through in the graph layer data connection result as station valve chamber abnormal data.
FIG. 9 is a schematic view of an underground pipeline data inspection apparatus according to another embodiment of the present application, as shown in FIG. 9, the apparatus further includes: list generation section 703 and transmission section 704;
a list generating unit 703 configured to generate an exception list according to the exception data;
a sending unit 704, configured to output the exception list to the display device.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application, including: a processor 710, a storage medium 720 and a bus 730, wherein the storage medium 720 stores machine-readable instructions executable by the processor 710, when the electronic device is operated, the processor 710 communicates with the storage medium 720 through the bus 730, and the processor 710 executes the machine-readable instructions to perform the steps of the above-mentioned method embodiments. The specific implementation and technical effects are similar, and are not described herein again.
The embodiment of the application provides a storage medium, wherein a computer program is stored on the storage medium, and the computer program is executed by a processor to execute the method.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. An underground pipeline data inspection method is characterized by comprising the following steps:
acquiring underground pipeline detection data, wherein the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data;
analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
2. The method of claim 1, wherein when the exception data comprises: when the central line data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises the following steps:
generating detection point diagram layer data through pipeline center line data in the detection data;
connecting the data of the detection point diagram layer into a line to generate a pipeline central line;
carrying out angle inspection by using the node data on the pipeline central line to generate an angle inspection result;
and screening out self-intersection data of the central line and curvature abnormal data of the central line according to the angle checking result.
3. The method of claim 2, wherein when the exception data comprises: when the data of the three piles and one plate are abnormal, analyzing and acquiring the abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the method comprises the following steps:
generating three-pile one-card layer data according to the three-pile one-card data in the detection data;
calculating a first shortest distance between the three-pile one-brand image layer data and the pipeline center line;
and taking the three-pile one-card data with the first shortest distance exceeding a preset threshold value as three-pile one-card abnormal data.
4. The method of claim 2, wherein when the exception data comprises: when the crossing data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises the following steps:
generating pipeline crossing point diagram layer data through crossing data in the detection data;
calculating a second shortest distance between the data of the crossing point diagram and the central line of the pipeline;
and taking the crossing data with the second shortest distance not being 0 as pipeline crossing abnormal data.
5. The method of claim 2, wherein when the exception data comprises: when the hydraulic protection data is abnormal, analyzing and acquiring abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises:
generating hydraulic protection surface layer data according to the hydraulic protection data in the detection data;
buffering the pipeline central line to generate a distance buffer area layer;
performing superposition analysis on the data of the layer of the hydraulic protection surface and the layer of the distance buffer area to obtain a superposition result;
and acquiring data outside the distance buffer area layer as hydraulic protection abnormal data according to the superposition result.
6. The method of claim 2, wherein when the exception data comprises: when station valve room data is abnormal, according to the detection data and a preset algorithm, the abnormal data of the underground pipeline is analyzed and obtained, and the method comprises the following steps:
generating station valve chamber surface layer data through station valve chamber data in the detection data;
carrying out spatial connection on the pipeline central line and the layer data of the valve chamber surface of the station to obtain a layer data connection result;
and taking station valve chamber data without a pipeline central line passing through in the layer data connection result as station valve chamber abnormal data.
7. The method according to any one of claims 1 to 6, wherein after analyzing and acquiring multiple types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, the method further comprises:
generating an exception list according to the exception data;
outputting the exception list to a display device.
8. An underground pipeline data inspection device, comprising: an acquisition unit and an analysis calculation unit;
the acquisition unit is used for acquiring underground pipeline detection data, and the detection data comprises: pipeline center line data, three piles and one card data, crossing data, hydraulic protection data and station valve chamber data;
the analysis and calculation unit is used for analyzing and acquiring various types of abnormal data of the underground pipeline according to the detection data and a preset algorithm, wherein the abnormal data comprises: the data of the central line is abnormal, the data of three piles and one card are abnormal, the data of crossing is abnormal, the data of hydraulic protection is abnormal, and the data of a station valve chamber is abnormal.
9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the method according to any one of claims 1-7.
10. A storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011344017.0A CN112434081A (en) | 2020-11-25 | 2020-11-25 | Underground pipeline data inspection method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011344017.0A CN112434081A (en) | 2020-11-25 | 2020-11-25 | Underground pipeline data inspection method and device, electronic equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112434081A true CN112434081A (en) | 2021-03-02 |
Family
ID=74699246
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011344017.0A Pending CN112434081A (en) | 2020-11-25 | 2020-11-25 | Underground pipeline data inspection method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112434081A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117289355A (en) * | 2023-09-26 | 2023-12-26 | 广东大湾工程技术有限公司 | Underground pipeline detection data processing method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708587A (en) * | 2012-04-17 | 2012-10-03 | 中国地质大学（北京） | Method and system for acquiring three-dimensional building information rapidly |
| CN103399990A (en) * | 2013-07-18 | 2013-11-20 | 北京工业大学 | Method of constructing fine discrete road grid in urban drainage simulation system |
| CN106446033A (en) * | 2016-08-31 | 2017-02-22 | 青岛市勘察测绘研究院 | Potential safety hazard information management system and method for underground pipelines |
| CN107153740A (en) * | 2017-05-18 | 2017-09-12 | 国家测绘地理信息局第四地形测量队 | One kind is based on the linkage of AutoCAD picture libraries and data set accepted way of doing sth Underground Pipeline Data processing system |
| CN107886242A (en) * | 2017-11-10 | 2018-04-06 | 平安科技（深圳）有限公司 | Data monitoring method, device, computer equipment and storage medium |
| CN109697333A (en) * | 2019-01-15 | 2019-04-30 | 中煤航测遥感集团有限公司 | Detection method, device and the electronic equipment of pipeline detection database |
| CN111813886A (en) * | 2020-09-07 | 2020-10-23 | 成都同飞科技有限责任公司 | Method and system for building pipe network database based on pipeline detection result |
-
2020
- 2020-11-25 CN CN202011344017.0A patent/CN112434081A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708587A (en) * | 2012-04-17 | 2012-10-03 | 中国地质大学（北京） | Method and system for acquiring three-dimensional building information rapidly |
| CN103399990A (en) * | 2013-07-18 | 2013-11-20 | 北京工业大学 | Method of constructing fine discrete road grid in urban drainage simulation system |
| CN106446033A (en) * | 2016-08-31 | 2017-02-22 | 青岛市勘察测绘研究院 | Potential safety hazard information management system and method for underground pipelines |
| CN107153740A (en) * | 2017-05-18 | 2017-09-12 | 国家测绘地理信息局第四地形测量队 | One kind is based on the linkage of AutoCAD picture libraries and data set accepted way of doing sth Underground Pipeline Data processing system |
| CN107886242A (en) * | 2017-11-10 | 2018-04-06 | 平安科技（深圳）有限公司 | Data monitoring method, device, computer equipment and storage medium |
| CN109697333A (en) * | 2019-01-15 | 2019-04-30 | 中煤航测遥感集团有限公司 | Detection method, device and the electronic equipment of pipeline detection database |
| CN111813886A (en) * | 2020-09-07 | 2020-10-23 | 成都同飞科技有限责任公司 | Method and system for building pipe network database based on pipeline detection result |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117289355A (en) * | 2023-09-26 | 2023-12-26 | 广东大湾工程技术有限公司 | Underground pipeline detection data processing method |
| CN117289355B (en) * | 2023-09-26 | 2024-05-07 | 广东大湾工程技术有限公司 | Underground pipeline detection data processing method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105550758A (en) | GIS-based underground pipeline operation and maintenance system | |
| US20050038825A1 (en) | System to facilitate pipeline management, software, and related methods | |
| JP5798632B2 (en) | Field management method and field management apparatus | |
| CN110852557A (en) | GIS-based refuse landfill site selection method and device | |
| US20120209653A1 (en) | Gas pipeline network configuration system | |
| CN101719127A (en) | Quick systemic checking method of data quality of geological and mineral spatial database | |
| US11120586B2 (en) | Visualizing linear assets using client-side processing | |
| CN107783979A (en) | Kilometer stone information preparation method and device, geographic information acquisition equipment and navigation chip | |
| Shekargoftar et al. | An integrated framework for operation and maintenance of gas utility pipeline using BIM, GIS, and AR | |
| CN112434081A (en) | Underground pipeline data inspection method and device, electronic equipment and storage medium | |
| JP2020172784A (en) | Mountain tunnel concrete thickness measuring method and measuring device | |
| Dabrowski | Novel PCSE-based approach of inclined structures geometry analysis on the example of the Leaning Tower of Pisa | |
| Usui et al. | A comparison of neighbourhood relations based on ordinary Delaunay diagrams and area Delaunay diagrams: an application to define the neighbourhood relations of buildings | |
| CN110706340B (en) | Pipeline three-dimensional visualization platform based on real geographic data | |
| Chenaux et al. | Combining a virtual learning tool and onsite study visits of four conservation sites in Europe | |
| CN104408218A (en) | Visual examination method of oil gas pipeline design achievement | |
| CN103500167B (en) | A kind of graphic display system of oil field data | |
| Nedkov et al. | Enabling obstacle avoidance for Google maps’ navigation service | |
| JP5081311B2 (en) | Map information processing apparatus, map information processing method, map information processing program, and recording medium | |
| KR101425017B1 (en) | Apparatus for inspecting electric power conduit in underground using mobile device | |
| CN104680433A (en) | BIM-based event and member association management method and system | |
| Muñumer Herrero et al. | Testing the Impact of 2D Generalisation on 3D Models–Exploring Analysis Options With an Off-the-shelf Software Package | |
| Lee et al. | Active insp ection supporting system based on mixed reality after design and manufacture in an offshore structure | |
| Marcheta et al. | Development of Mobile Asset Management Applications with Geolocation and Haversine | |
| Vote et al. | ARCHAVE: A virtual environment for archaeological research |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |