Underground pipeline construction supervision system and method based on visual GIS fusion

Abstract

The invention provides an underground pipeline construction supervision system and method based on visual GIS fusion, and relates to the technical field of underground pipeline construction supervision, and the system comprises a data collection module, a data processing module, a risk identification module, a safety early warning module, a hidden danger disposal module and a comprehensive display module. On-site video data of an underground pipeline is collected in real time through the data collection module, a pipeline protection area is obtained through calculation of the data processing module, and a potential safety hazard target of the pipeline protection area is recognized and pre-warned through the risk recognition module and the safety pre-warning module. And finally, the three-dimensional model of the pipeline and the construction site video are subjected to fusion display through the comprehensive display module, so that the problems of inaccurate result, strong manual dependence and poor supervision real-time performance of a conventional construction supervision method are solved, and high-precision real-time visual automatic supervision and alarm of underground pipeline construction are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of underground pipeline construction supervision, and in particular to an underground pipeline construction supervision system and method based on visual GIS fusion. Background Art

[0002] In recent years, reckless and illegal third-party construction has become the most frequent, most harmful, and most direct hidden danger and risk threatening the safe operation of water supply, drainage, oil and gas pipelines. Traditional third-party construction supervision relies primarily on manual on-site inspections and reporting, or on voluntary reporting by construction departments. This often involves a large workload, poor real-time performance, and high costs. Problems are typically resolved after the fact, posing safety risks. To reduce the incidence of pipeline damage caused by construction activities, comprehensive supervision of construction safety around underground pipelines is necessary. Currently, there are two main types of construction supervision methods. One is to use sensing devices such as fiber optic sensors and vibration sensors to monitor construction activities by acquiring noise, vibration, acceleration and other data and processing and analyzing them. This method is mainly used for long-distance pipeline monitoring and is difficult to apply in cities due to the complex surrounding environment. The other is to use cameras deployed in the city to capture construction activity videos, and then manually judge and analyze the risk of damage to underground pipelines caused by construction. However, due to the hidden nature of underground pipelines, this method not only requires sufficient manual experience, but also requires a one-to-one comparison of underground pipeline GIS data, which consumes a lot of manpower, is inefficient, and has poor real-time performance. Damage to pipelines caused by untimely judgment often occurs. In addition, it is difficult to judge the distance between the construction site and the pipeline through manual means, which makes accurate supervision impossible and has poor operability. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide an underground pipeline construction supervision system and method based on visual GIS fusion, which is used to solve the problems of inaccurate results, strong manual dependence and poor real-time supervision of existing construction supervision methods.

[0004] The present invention provides an underground pipeline construction supervision system based on visual GIS fusion, comprising:

[0005] Data acquisition module, data processing module, risk identification module, safety warning module, hidden danger disposal module and comprehensive display module;

[0006] The data acquisition module is used to obtain pipeline construction data sets, which include: underground pipeline construction site data, underground pipeline construction project data and construction area pipeline GIS data;

[0007] The data processing module is used to preprocess the pipeline construction data set to obtain a preprocessed data set;

[0008] The risk identification module is used to obtain the pipeline protection area by preprocessing the data set and identify the safety hazard targets in the pipeline protection area;

[0009] The safety warning module is used to calculate the distance between the safety hazard target and the pipeline center, and issue warnings of corresponding levels according to different distances;

[0010] The hidden danger disposal module is used to deal with corresponding safety hazards through early warnings of different levels and obtain disposal results;

[0011] The comprehensive display module is used to display risk identification, safety warning and hidden danger disposal results.

[0012] Preferred:

[0013] The data acquisition module includes: a video acquisition device and an interface device;

[0014] The video acquisition device is used to obtain data from underground pipeline construction sites;

[0015] The interface device is used to obtain underground pipeline construction engineering data and construction area pipeline GIS data.

[0016] Preferred:

[0017] The data processing module uses a video frame extraction algorithm to perform video frame segmentation, encoding, and camera decoding on the underground pipeline construction site data to obtain a video frame image set;

[0018] The data processing module uses the camera data extraction algorithm to solve the camera data corresponding to each video frame image, and binds each camera data with the corresponding video frame image. The video frame image set, camera data set, underground pipeline construction project data and construction area pipeline GIS data are used as the preprocessing data set.

[0019] Preferred:

[0020] The risk identification module includes a pipeline protection zone calculation unit and a construction risk identification unit;

[0021] The pipeline protection zone calculation unit is used to obtain the current visible area through the pipeline GIS data in the construction area, and calculate the pipeline protection zone within the current visible area;

[0022] The construction risk identification unit automatically identifies each object within the pipeline protection area through the target recognition model and discovers safety hazard targets.

[0023] Preferred:

[0024] The safety warning module includes an intelligent warning unit and a warning reporting unit;

[0025] The intelligent warning unit is used to set the first-level warning threshold d1, the second-level warning threshold d2, and the third-level warning threshold d3, where d1 < d2 < d3; calculate the distance d between the potential safety hazard target and the pipeline center; if d ≤ d1, issue a first-level warning; if d1 < d ≤ d2, issue a second-level warning; if d2 < d ≤ d3, issue a third-level warning;

[0026] The warning reporting unit is used for rapid alarm and release of warnings.

[0027] Preferably:

[0028] The comprehensive display module crops and fuses the video frame image set, the camera data set, the underground pipeline construction project data, and the pipeline GIS data in the construction area, so as to display the video information and the three-dimensional underground pipeline information spatially on the same interface.

[0029] A method for supervising underground pipeline construction based on vision-GIS fusion is realized based on the above-mentioned underground pipeline construction supervision system based on vision-GIS fusion, and includes the steps:

[0030] S1; Real-time obtain the pipeline construction data set through the data acquisition module, and preprocess the pipeline construction data set through the data processing module to obtain the preprocessed data set;

[0031] S2: The risk identification module obtains the pipeline protection area through the preprocessed data set, and identifies the potential safety hazard targets in the pipeline protection area;

[0032] S3: Calculate the distance between the potential safety hazard target and the pipeline center through the safety warning module, and issue corresponding-level warnings according to different distances;

[0033] S4: The potential hazard disposal module conducts corresponding potential safety hazard disposal through warnings of different levels;

[0034] S5: Display the results of risk identification, safety warning, and potential hazard disposal through the comprehensive display module.

[0035] Preferably, step S2 is specifically:

[0036] S21: Obtain the current visible area through the video frame image set, obtain the pipelines in the current visible area through the pipeline GIS data in the construction area, divide the pipelines into multiple pipe segments and pipeline turning points, and set the safety radius r;

[0037] S22: Obtain any pipe segment, and draw a rectangular protection area for the pipe segment with the length L of the pipe segment and the safety radius r; wherein, the length of the rectangular protection area is L, the width of the rectangular protection area is 2r, the center point of the rectangular protection area is the center point of the pipe segment, and the length of the rectangular protection area is parallel to the pipe segment;

[0038] S23: Obtain any pipeline turning point and draw a circular protection area at the pipeline turning point with a safety radius r; wherein the radius of the circular protection area is r, and the center of the circular protection area is the pipeline turning point;

[0039] S24: Repeat steps S22-S23 to superimpose all rectangular protection areas and circular protection areas to obtain a pipeline protection area;

[0040] S25: Identify potential safety hazards within the pipeline protection area through a target recognition model.

[0041] Preferably, step S5 is specifically as follows:

[0042] S51: Obtain camera data sets corresponding to each video frame image and pipeline GIS data of the construction area, and obtain pipeline network data models corresponding to each video frame image through the pipeline GIS data of each construction area;

[0043] S52: Obtain the camera coordinates and pipe network coordinate projection transformation matrix corresponding to each video frame image by calculating each camera data set;

[0044] S53: Rendering each pipe network data model to obtain a pipe network image corresponding to each video frame image;

[0045] S54: Using the camera coordinates and pipe network coordinate projection transformation matrix of each video frame image, the pixels in each video frame image are replaced with the pixels of each corresponding pipe network image to obtain a visual GIS fusion image set, and the results of safety hazard disposal are displayed through the visual GIS fusion image set.

[0046] The present invention has the following beneficial effects:

[0047] The data acquisition module collects on-site video data of underground pipelines in real time, and the data processing module calculates the pipeline protection area. The risk identification module and the safety warning module identify and warn of safety hazards in the pipeline protection area. Finally, the comprehensive display module integrates the three-dimensional model of the pipeline with the construction site video for display. This solves the problems of inaccurate results, strong manual dependence, and poor real-time supervision of conventional construction supervision methods, and realizes high-precision real-time visual automatic supervision and alarm for underground pipeline construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 This is the structure diagram of the underground pipeline construction supervision system based on visual GIS fusion;

[0049] Figure 2 This is a schematic diagram of the warning setting of the intelligent warning unit;

[0050] Figure 3 This is a schematic diagram of the pipeline protection area;

[0051] Figure 4 This is a schematic diagram of the display effect of the comprehensive display module;

[0052] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0053] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0054] Reference Figure 1 The present invention provides an underground pipeline construction supervision system based on visual GIS fusion, comprising:

[0055] Data acquisition module, data processing module, risk identification module, safety warning module, hidden danger disposal module and comprehensive display module;

[0056] The data acquisition module is used to obtain pipeline construction data sets, which include: underground pipeline construction site data, underground pipeline construction project data and construction area pipeline GIS data;

[0057] The data processing module is used to preprocess the pipeline construction data set to obtain a preprocessed data set;

[0058] The risk identification module is used to obtain the pipeline protection area by preprocessing the data set and identify the safety hazard targets in the pipeline protection area;

[0059] The safety warning module is used to calculate the distance between the safety hazard target and the pipeline center, and issue warnings of corresponding levels according to different distances;

[0060] The hidden danger disposal module is used to deal with corresponding safety hazards through early warnings of different levels and obtain disposal results;

[0061] The comprehensive display module is used to display risk identification, safety warning and hidden danger disposal results.

[0062] Specifically, the data acquisition module transmits the collected underground pipeline construction engineering data, construction area pipeline GIS data and underground pipeline network construction site data to the data processing module through the data transmission link.

[0063] The data processing module is used to uniformly process the original data collected by the data acquisition module. The output end of the data processing module is connected to the risk identification module to transmit the data processing result data to the risk identification module.

[0064] The risk identification module calculates the underground pipeline protection area based on the pipeline GIS data in the construction area, uses the trained target recognition algorithm to identify the construction risks of the pipeline protection area in the video, and transmits the risk identification results to the safety warning module.

[0065] The safety warning module divides the warning areas into three levels according to the radius length from the pipeline, matches the warning level according to the risk identification results, and reports the warning information to the hidden danger disposal module in a variety of forms.

[0066] The hidden danger disposal module dispatches hidden danger disposal work orders based on early warning notifications and reported information. Dedicated personnel will go to the site to deal with the safety hazards and provide feedback on the disposal results. Supervision will end when the construction is completed.

[0067] The comprehensive display module uses GIS to integrate and visualize the construction site conditions and underground pipeline data, dynamically presents pipeline protection zones and risk identification results, and tracks and displays alarm information and hidden danger disposal work orders throughout the entire process, enabling visual supervision of the entire process.

[0068] As an example:

[0069] The data acquisition module includes: a video acquisition device and an interface device;

[0070] The video acquisition device is used to obtain data from underground pipeline construction sites;

[0071] The interface device is used to obtain underground pipeline construction engineering data and construction area pipeline GIS data.

[0072] Specifically, the video acquisition device includes a camera and power supply system. Other system interfaces include the underground pipeline network GIS system and the construction management system. By connecting to the data acquisition module, pipeline GIS data and construction project data in the construction area are acquired. Construction information is obtained through daily line inspections and connection to the construction management system. The video acquisition device is deployed at the construction site to collect video data from the underground pipeline network construction site.

[0073] As an example:

[0074] The data processing module uses a video frame extraction algorithm to perform video frame segmentation, encoding, and camera decoding on the underground pipeline construction site data to obtain a video frame image set;

[0075] The data processing module uses the camera data extraction algorithm to solve the camera data corresponding to each video frame image, and binds each camera data with the corresponding video frame image. The video frame image set, camera data set, underground pipeline construction project data and construction area pipeline GIS data are used as the preprocessing data set.

[0076] Specifically, the video frame extraction algorithm is used to perform video frame segmentation on the collected original video data, obtain video frame images, encode the images, and save them in a specific format; the camera data extraction algorithm is used to calculate the camera position, lens parameters, depth, picture aspect ratio, and resolution corresponding to the current video frame image, and bind this information to the current video frame image.

[0077] As an embodiment:

[0078] The risk identification module includes a pipeline protection area calculation unit and a construction risk identification unit;

[0079] The pipeline protection area calculation unit is used to obtain the current visible area through the construction area pipeline GIS data and calculate the pipeline protection area within the current visible area;

[0080] The construction risk identification unit automatically identifies each object within the pipeline protection area through the target recognition model and discovers potential safety hazard targets.

[0081] Specifically, the pipeline protection area calculation unit takes the video visible area as the calculation scope, obtains the construction area pipeline GIS data under the current visible area, and calculates the pipeline protection area within the video area; the construction risk identification unit uses the target recognition model to automatically identify objects such as excavators, construction workers, pile drivers, and safety helmets within the pipeline protection area and discovers potential construction safety hazards.

[0082] As an embodiment:

[0083] The safety warning module includes an intelligent warning unit and a warning reporting unit;

[0084] The intelligent warning unit is used to set a first-level warning threshold d1, a second-level warning threshold d2, and a third-level warning threshold d3, where d1 < d2 < d3; calculate the distance d between the potential safety hazard target and the pipeline center; if d ≤ d1, issue a first-level warning; if d1 < d ≤ d2, issue a second-level warning; if d2 < d ≤ d3, issue a third-level warning;

[0085] The warning reporting unit is used to quickly alarm and publish the warning.

[0086] Specifically, the warning setting of the intelligent warning unit is as Figure 2 shown, and the warning reporting unit uses forms such as system prompts, WeChat, and text messages to quickly alarm and publish the warning results output by the intelligent warning unit.

[0087] As an embodiment:

[0088] The comprehensive display module cuts and fuses the video frame image set, camera data set, underground pipeline construction project data and construction area pipeline GIS data, so that the video information and three-dimensional underground pipeline information can be spatially displayed on the same interface.

[0089] The present invention provides a method for monitoring underground pipeline construction based on visual GIS fusion, which is implemented based on the underground pipeline construction monitoring system based on visual GIS fusion, and includes the following steps:

[0090] S1; obtaining a pipeline construction data set in real time through a data acquisition module, and preprocessing the pipeline construction data set through a data processing module to obtain a preprocessed data set;

[0091] S2: The risk identification module obtains the pipeline protection area by preprocessing the data set and identifies the safety hazard targets within the pipeline protection area;

[0092] As an example, the pipeline protection area is as follows: Figure 3 As shown:

[0093] Step S2 is specifically as follows:

[0094] S21: Obtain the current visible area through the video frame image set, obtain the pipelines in the current visible area through the pipeline GIS data of the construction area, divide the pipelines into multiple pipeline sections and pipeline turning points, and set the safety radius r;

[0095] S22: Obtain any pipe segment and draw a rectangular protection zone for the pipe segment using the length L of the pipe segment and the safety radius r. The length of the rectangular protection zone is L, the width of the rectangular protection zone is 2r, the center point of the rectangular protection zone is the center point of the pipe segment, and the length of the rectangular protection zone is parallel to the pipe segment.

[0096] S23: Obtain any pipeline turning point and draw a circular protection area at the pipeline turning point with a safety radius r; wherein the radius of the circular protection area is r, and the center of the circular protection area is the pipeline turning point;

[0097] S24: Repeat steps S22-S23 to superimpose all rectangular protection areas and circular protection areas to obtain a pipeline protection area;

[0098] S25: Identify potential safety hazards within the pipeline protection area through a target recognition model.

[0099] S3: The safety warning module calculates the distance between the safety hazard target and the pipeline center, and issues warnings of corresponding levels based on the distance;

[0100] S4: The hidden danger handling module handles corresponding safety hidden dangers through different levels of warnings;

[0101] S5: Display the risk identification, safety warning and hidden danger disposal results through the comprehensive display module.

[0102] As an example:

[0103] Step S5 is specifically as follows:

[0104] S51: Obtain camera data sets corresponding to each video frame image and pipeline GIS data of the construction area, and obtain pipeline network data models corresponding to each video frame image through the pipeline GIS data of each construction area;

[0105] S52: Obtain the camera coordinates and pipe network coordinate projection transformation matrix corresponding to each video frame image by calculating each camera data set;

[0106] S53: Rendering each pipe network data model to obtain a pipe network image corresponding to each video frame image;

[0107] S54: Using the camera coordinates and pipe network coordinate projection transformation matrix of each video frame image, the pixels in each video frame image are replaced with the pixels of each corresponding pipe network image to obtain a visual GIS fusion image set, and the results of safety hazard disposal are displayed through the visual GIS fusion image set.

[0108] Specifically, the display effect of the comprehensive display module is as follows: Figure 4 shown.

[0109] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0110] The serial numbers of the embodiments of the present invention are for descriptive purposes only and do not represent superiority or inferiority of the embodiments. In a unit claim that lists several means, several of these means may be embodied by the same item of hardware. The use of the terms first, second, and third, etc., does not denote any order and should be construed as identifiers.

[0111] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An underground pipeline construction supervision system based on visual GIS fusion, characterized by: including: a data acquisition module, a data processing module, a risk identification module, a safety warning module, a hidden danger disposal module, and a comprehensive display module; The data acquisition module is used to obtain a pipeline construction data set, and the pipeline construction data set includes: underground pipeline construction site data, underground pipeline construction project data, and construction area pipeline GIS data; The data processing module is used to preprocess the pipeline construction data set to obtain a preprocessed data set; The risk identification module is used to obtain a pipeline protection area through the preprocessed data set and identify safety hazard targets within the pipeline protection area; The safety warning module is used to calculate the distance between the safety hazard target and the pipeline center and issue warnings of corresponding levels according to different distances; The hidden danger disposal module is used to perform corresponding safety hazard disposal through warnings of different levels to obtain a disposal result; The comprehensive display module is used to display the results of risk identification, safety warning, and hidden danger disposal.

2. The underground pipeline construction supervision system based on visual GIS fusion according to claim 1, wherein: The data acquisition module includes: a video acquisition device and an interface device; The video acquisition device is used to obtain underground pipeline construction site data; The interface device is used to obtain underground pipeline construction project data and construction area pipeline GIS data.

3. The underground pipeline construction supervision system based on visual GIS fusion according to claim 1, wherein: The data processing module performs video frame segmentation, encoding, and camera resolution on the underground pipeline construction site data through a video frame extraction algorithm to obtain a video frame image set; The data processing module resolves the camera data corresponding to each video frame image through a camera data extraction algorithm, binds each camera data to the corresponding video frame image, and uses the video frame image set, the camera data set, the underground pipeline construction project data, and the construction area pipeline GIS data as the preprocessed data set.

4. The underground pipeline construction supervision system based on visual GIS fusion according to claim 1, wherein: The risk identification module includes a pipeline protection area calculation unit and a construction risk identification unit; The pipeline protection area calculation unit is used to obtain the current visible area through the construction area pipeline GIS data and calculate the pipeline protection area within the current visible area; The construction risk identification unit automatically identifies each object within the pipeline protection area through a target identification model to discover safety hazard targets.

5. The underground pipeline construction supervision system based on visual GIS fusion according to claim 1, wherein: The safety warning module includes an intelligent warning unit and a warning reporting unit; The intelligent warning unit is used to set a first-level warning threshold d1, a second-level warning threshold d2, and a third-level warning threshold d3, where d1 < d2 < d3; Calculate the distance d between the safety hazard target and the pipeline center; if d ≤ d1, issue a first-level warning; if d1 < d ≤ d2, issue a second-level warning; if d2 < d ≤ d3, issue a third-level warning; The warning reporting unit is used to quickly alarm and publish the warning.

6. The underground pipeline construction supervision system based on visual GIS fusion according to claim 1, wherein: The comprehensive display module cuts and fuses the video frame image set, camera data set, underground pipeline construction project data and construction area pipeline GIS data, so that the video information and three-dimensional underground pipeline information can be spatially displayed on the same interface.

7. A method for monitoring underground pipeline construction based on visual GIS fusion, implemented based on the underground pipeline construction monitoring system based on visual GIS fusion according to any one of claims 1 to 6, characterized in that: Including steps: S1; obtaining a pipeline construction data set in real time through a data acquisition module, and preprocessing the pipeline construction data set through a data processing module to obtain a preprocessed data set; S2: The risk identification module obtains the pipeline protection area by preprocessing the data set and identifies the safety hazard targets within the pipeline protection area; S3: The safety warning module calculates the distance between the safety hazard target and the pipeline center, and issues warnings of corresponding levels based on the distance; S4: The hidden danger handling module handles corresponding safety hidden dangers through different levels of warnings; S5: Display the risk identification, safety warning and hidden danger disposal results through the comprehensive display module.

8. The underground pipeline construction supervision method based on visual GIS fusion according to claim 7 is characterized in that: Step S2 is specifically as follows: S21: Obtain the current visible area through the video frame image set, obtain the pipelines in the current visible area through the pipeline GIS data of the construction area, divide the pipelines into multiple pipeline sections and pipeline turning points, and set the safety radius r; S22: Obtain any pipe segment and draw a rectangular protection zone for the pipe segment using the length L of the pipe segment and the safety radius r. The length of the rectangular protection zone is L, the width of the rectangular protection zone is 2r, the center point of the rectangular protection zone is the center point of the pipe segment, and the length of the rectangular protection zone is parallel to the pipe segment. S23: Obtain any pipeline turning point and draw a circular protection area at the pipeline turning point with a safety radius r; wherein the radius of the circular protection area is r, and the center of the circular protection area is the pipeline turning point; S24: Repeat steps S22-S23 to superimpose all rectangular protection areas and circular protection areas to obtain a pipeline protection area; S25: Identify potential safety hazards within the pipeline protection area through a target recognition model.

9. The underground pipeline construction supervision method based on visual GIS fusion according to claim 7 is characterized in that: Step S5 is specifically as follows: S51: Obtain camera data sets corresponding to each video frame image and pipeline GIS data of the construction area, and obtain pipeline network data models corresponding to each video frame image through the pipeline GIS data of each construction area; S52: Obtain the camera coordinates and pipe network coordinate projection transformation matrix corresponding to each video frame image by calculating each camera data set; S53: Rendering each pipe network data model to obtain a pipe network image corresponding to each video frame image; S54: Using the camera coordinates and pipe network coordinate projection transformation matrix of each video frame image, the pixels in each video frame image are replaced with the pixels of each corresponding pipe network image to obtain a visual GIS fusion image set, and the results of safety hazard disposal are displayed through the visual GIS fusion image set.

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