KR20220075245A - Driving patrol system for monitoring the access of dangerous apparatus in underground gas pipeline - Google Patents

Abstract

The present invention discloses a driving patrol system for monitoring the approach of dangerous substances in an underground gas pipe, in the driving patrol system for monitoring the approach of dangerous substances in an underground gas pipe through a circuit inspection, an image collecting unit that shoots a ground image on the circuit inspection route , an image extraction unit that extracts an image from the image collected by the image collection unit, an image reader that determines the substance of the image extracted by the image extraction unit to determine a dangerous object, and the read image result together with the collected image A display unit for displaying in real time, an alarm unit notifying a driver when it is determined that there is a dangerous material as a result of the reading by the image reading unit, a motion sensing unit for detecting the movement of the dangerous material determined by the image reading unit, and the detection of the motion detection unit As a result, including a risk determination unit for determining the level of risk according to whether the dangerous material approaches the underground gas pipe line, it is configured to detect a hazardous material in the image collected through the image collection unit to assist the driver in circulating inspection.

Description

Driving patrol system for monitoring the access of dangerous apparatus in underground gas pipeline

The present invention discloses a driving patrol system for monitoring access to dangerous substances in underground gas pipelines.

The underground city gas pipeline is a facility that requires continuous and thorough pre-management because safety inspection and maintenance are difficult compared to exposed pipelines.

Safety accidents such as leaks, water leaks, and oil leaks that occur in buried piping occur not only due to natural disasters such as earthquakes and ground subsidence, but also frequently occur due to artificial causes caused by excavation for construction of buildings or underground facilities. In particular, when an accident occurs in the city gas pipeline, it leads to a major accident, so continuous monitoring of excavation work is required, and information exchange between related organizations is very important.

In general, as a way to monitor excavation work, the excavator requests the city gas company to attend the site through the EOCS (Excavation Construction Information System), and a manager is dispatched to the site to manage the excavation work requested in advance.

As such, it is easy to manage when the excavation project implementer receives a request for membership by submitting a request to the EOCS (Excavation Construction Information System). The risk of accidents caused by this is very high. In order to monitor the excavation work due to non-reporting, etc., it is monitored whether the people in charge of the jurisdiction are directly operating the vehicle while performing the excavation work near the buried pipe or whether the excavation related equipment such as an excavator is approaching the buried pipe.

The driving patrol method through such a vehicle is carried out more than once a day, mainly in places where pipes are buried, and has the advantage of being able to take immediate action for safety as the person in charge directly checks the site.

However, in a circuit inspection through a vehicle, if a dangerous object (equipment such as an excavator) is in the blind spot of the driver's (person in charge) field of vision, it is often not detected. Problems can arise.

Therefore, there is a need for a means to detect and inform the pipe hazardous materials in addition to direct monitoring of the person in charge in the process of inspection through a vehicle.

Korean Patent No. 10-1046865 (Excavation construction monitoring system and method)

The present invention has been proposed to solve the above problems, and it is always monitored around the circulating inspection vehicle to determine whether unreported excavation work is in progress near the pipe or whether dangerous substances (excavators) for excavation work exist or are approaching. An object of the present invention is to provide a driving patrol system for monitoring access to dangerous substances in an underground gas pipeline having an auxiliary means for monitoring and notifying a person in charge.

In this embodiment for solving the above problems, in the driving patrol system for monitoring the approach of dangerous substances of underground gas pipelines through circulating inspection, an image collecting unit that captures a ground image on a circulating inspection path, the image collecting unit collects An image extracting unit for extracting an image from the captured image, an image reading unit for determining the substance of an image extracted by the image extracting unit to determine a dangerous object, a display unit for displaying the read image result together with the collected image in real time; An alarm unit that notifies the driver when it is determined that there is a dangerous material as a result of the reading by the image reading unit, a motion sensing unit that detects the movement of the dangerous material determined by the image reading unit, and, as a result of the detection of the motion detection unit, the dangerous material is installed in the underground gas pipe Including a risk determination unit for determining the level of risk according to whether or not approaching the track of the image collecting unit is configured to detect a dangerous material in the image collected through the driver to assist the circuit inspection.

Here, the image collecting unit may be configured to further collect images of the rear and the side along with the front of the vehicle.

Also, the image collection unit may be configured to be linked to a camera device for a black box installed in a vehicle.

In addition, the driving patrol system may further include an image learning unit to which a deep learning model is applied, and the image reading unit may be configured to determine the substance of an image through learning performed in the image learning unit to determine a dangerous object.

In addition, the image learning unit may include an image DB that stores and manages the images provided by the image extraction unit and uses them as learning materials.

In addition, the image reading unit may be configured to further determine the accuracy of the determined image entity and provide it through the display unit.

In addition, the risk determination unit determines different levels of risk depending on whether the dangerous material approaches the underground gas pipe, and the alarm unit varies the strength of the warning according to the level of the risk so that the driver recognizes the urgency of the matter. can be configured to do so.

In addition to direct monitoring by the driver, the present invention can improve the efficiency of circuit inspection and monitoring by extracting an image from the image of the side or rear of the circulating vehicle, which is difficult to reach by the driver, to determine and provide dangerous substances.

1 is a block diagram showing the main configuration of a driving patrol system according to the present embodiment;
2 is a view showing an example of an image displayed on a display unit, which is a main part of FIG. 1;
3 is a view showing an example of a vehicle in which a driving patrol system according to the present embodiment is implemented;
4 is a flowchart illustrating a process of monitoring dangerous substances through the driving patrol system according to the present embodiment.

The present invention and the technical problems achieved by the practice of the present invention will be made clear by the preferred embodiments described below. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

It should be understood that the differences between the embodiments described below are not mutually exclusive. That is, without departing from the spirit and scope of the present invention, the specific shapes, structures and characteristics described may be implemented in other embodiments with respect to one embodiment, and the location of individual components within each disclosed embodiment Alternatively, it should be understood that the arrangement may be changed, and similar reference numerals in the drawings refer to the same or similar functions over several aspects, and the length, area, thickness, and the like may be exaggerated for convenience.

Fig. 1 is a block diagram showing the main configuration of a driving patrol system according to the present embodiment, Fig. 2 is a view showing an example of an image displayed on a display unit, which is a main part of Fig. 1, and Fig. 3 is a view showing the main configuration of the driving patrol system It is a view showing an example of a vehicle in which the driving patrol system according to the present invention is implemented.

First, referring to FIG. 1 , the driving patrol system 100 of this embodiment includes an image collecting unit 110 that captures an image around a road or a city gas pipe is buried, and extracting specific images from within the collected image. The image extraction unit 120, the image reading unit 130 for grasping the substance of the image based on the extracted image, the display unit 140 for displaying the read image result together with the photographed image, and the image reading result The alarm unit 150 notifies the driver (or the person in charge) when it is determined to be a dangerous object, the motion detection unit 160 detects movement of the image determined as a dangerous object, and the degree of risk for determining whether the buried pipe is in danger according to the movement detection result and a determination unit 170 . In addition, the driving patrol system 100 of the present embodiment further includes an image learning unit 180 that learns the degree of risk based on images included in a plurality of images collected on the road, and although not shown, driving of the components It may include a control unit for controlling the.

The driving patrol system 100 having the above configuration may be installed in the form of an application or the like in a vehicle driven for a circuit inspection.

Specifically, the image collection unit 110 is configured to capture and collect images of a traversing path, and may be configured as a camera device installed in a vehicle. The image collecting unit 110 is installed on the rear and side portions along with the front of the vehicle and is configured to collect not only the front image of the moving vehicle, but also the rear and side images where the driver's field of view is not well secured. The image information captured by the image collecting unit 110 is provided to the image extracting unit 120 . In addition, the image collection unit 110 may use a camera for a black box already installed in the vehicle, and in this case, there is an advantage that a separate camera does not need to be installed.

The image extraction unit 120 is configured to extract an image included in the image collected by the image collection unit 110, and the extracted image may be various types of images such as vehicles, people, street trees, and buildings. To this end, the image extraction unit 120 is input or learned in advance the image of a specific shape, such as a vehicle, a person, a street tree, a building, and the like. The image information extracted by the image extraction unit 120 is provided to the image reading unit 130 .

The image reading unit 130 determines the substance of the image extracted by the image extraction unit 120 and determines whether these are images that may cause danger in relation to a gas pipe buried underground, that is, whether they are dangerous substances. Among the images extracted by the image extraction unit 120, people, roadside trees, buildings, and general vehicles are irrelevant to gas piping, and in particular, heavy equipment such as excavators among vehicles are images that may pose a risk to gas piping (hereinafter, 'excavators'). ' is exemplified as a representative dangerous object).

The image reading unit 130 is configured to read the substance of an image extracted through repeated learning for a plurality of images. For this purpose, the driving patrol system 100 includes an image learning unit 180, and the image reading unit 130 is learning through the image learning unit 180 to which a deep learning model is applied, an image of a dangerous object such as an excavator. It has an object recognition function that can be read.

The image learning unit 180 is to which object recognition technology through deep learning is applied, for example, transfer learning that trains the Mobilenet-ssd model provided by Google as a model that can read the excavator. (Transfer Learning) may be applied. The model that has been trained uses the Bazel Build Tool to reduce the weight of the 8-Bit Quantization model, and the result of the lightweight Tensorflow-lite model is developed as an Android app and mounted on the image reader 130 to the image learning unit (180) can be implemented. At this time, the app that operates the model is also optimized by adding necessary functions by modifying the code provided by Google as an example.

The image learning unit 180 includes an image DB 181 , and learning may be performed using an image provided from the image DB 181 as a model. The image DB 181 accumulatively stores and manages the images extracted by the image extraction unit, and provides them as learning materials for the image learning unit 180 .

Accordingly, the image reading unit 130 determines the existence of the excavator among the extracted images, and the display unit 140 and the alarm unit 150 notify the driver of this fact.

The display unit 140 is configured to display the real-time image extracted from the image collection unit 110 , the image information extracted from the image extraction unit 120 , and the dangerous material information read from the image reading unit 130 , and is installed in the vehicle. It may be configured as a display device that becomes The display unit 140 may use a display device for navigation that is already installed in the vehicle, or may use the display of the smart phone in conjunction with the driver's smart phone.

Meanwhile, as shown in FIG. 2 , the real-time image extracted from the image collecting unit 110 , the image information extracted from the image extracting unit 120 , and the excavator information read from the image reading unit 130 are displayed on a display installed in the vehicle. It is provided to the driver through the unit 140 . In particular, the position of the excavator using GIS coordinates may be displayed in the display unit 140 together with a map. In addition, the image reading unit 130 provides information on the accuracy of the read image together with the name of the entity, for example, the name of the entity such as a car or an excavator, to the display unit 140 for display together. make it possible In this way, the purification level information is also displayed, so that for an entity with low accuracy, the driver can directly check the actual image of the field to block problems caused by recognition errors.

The warning unit 150 is configured to notify the driver of the detection by the image reading unit 130, and may be configured as an audio means such as a buzzer. At this time, the alarm unit 150 notifies the driver that there is an excavator on the circuit path, and the driver can directly take safety measures against the excavator after confirming the position of the excavator.

When the image reading unit 130 reads that there is an excavator, the motion detection unit 160 detects a movement of the excavator, that is, a motion of movement or operation. In addition, when it is determined that the excavator is moving, the motion detector 160 also senses a moving direction. Information detected by the motion detection unit 160 is provided to the risk determination unit 170 .

The risk determining unit 170 determines the level of risk of the corresponding excavator for the pipe based on the motion information of the excavator detected by the motion detecting unit 160 and the pipe DB 171 . To this end, the risk determination unit 170 is provided with a pipe DB 171, and is provided with pipe information buried underground therefrom.

For example, the risk determination unit 170 receives information such as the position and movement direction of the excavator from the motion detection unit 160 , compares the received information with information in the pipe DB 171 , and the pipe in which the excavator is buried underground It judges whether or not to approach the track, and calculates the level of risk according to the result. At this time, the degree of risk may be set to different levels, for example, a safety mode when it is determined that the excavator moves away from the pipe line, a caution mode when the excavator approaches the pipe line, and a warning when the excavator is located on the pipe line The risk is judged by mode, etc.

The level of risk information determined by the risk determination unit 170 is provided to the display unit 140 and the alarm unit 150, and the display unit 140 and the alarm unit 150 use the level according to the screen flicker, volume, repetition period, etc. It is configured to inform the driver of risk information in real time.

The driving patrol system configured as described above may be installed inside the patrol inspection vehicle, and as shown in FIG. 3 , a display device is provided to detect dangerous substances around the patrol path and notify the driver. Therefore, it is possible to improve the efficiency of circuit inspection by assisting the driving patrol system by the driver by detecting and notifying dangerous substances that the driver misses or does not enter the driver's field of view.

4 is a flowchart illustrating a process of monitoring dangerous substances through the driving patrol system according to the present embodiment. Through this embodiment, a process of monitoring the approach of dangerous substances of the underground gas pipeline using the driving patrol system will be described.

Referring to the drawings, the driving patrol system collects an image through the image collecting unit 110 (S11), and the image extracting unit 120 extracts a specified image from the captured image (S12). And the image reading unit 130 reads the substance (name) of the extracted image (S13), and determines whether an excavator is included among them (S14). When it is determined that the excavator is included, the alarm unit 150 allows the driver to recognize the fact through an alarm sound (S15). At this time, the image reading unit 130 learns in advance through the deep learning model in order to read the substance of the image.

Meanwhile, information about the image captured in this series of processes, the extracted image, the substance of the image, accuracy, and the like is provided through the display unit 140 in real time so that the driver can visually confirm it.

In addition, when the excavator is detected, the motion detection unit 160 detects whether the excavator is moving or operating (S16), and when it is detected that the excavator is moving, the risk determination unit 170 refers to the pipe DB (171). The level of risk is judged according to whether the excavator approaches the pipeline. Then, according to the result of the risk determination unit 170, the alarm unit 150 allows the driver to recognize the fact through an alarm sound (S19). In this case, the warning unit 150 varies the strength of the warning according to the level of risk so that the driver can recognize the urgency of the matter.

Such a hazardous material monitoring process is continuously performed in the process of moving along the circuit route. Therefore, by informing the driver of the dangerous substances that the driver misses and their approach information, it is possible to precisely proceed with the dangerous substances approach monitoring.

As described above, although exemplary embodiments of the present invention have been illustrated and described, various modifications and other embodiments may be made by those skilled in the art. All such modifications and other embodiments are intended to be contemplated and included in the appended claims without departing from the true spirit and scope of the present invention.

100: driving patrol system
110: image collection unit 120: image extraction unit
130: image reading unit 140: display unit
150: alarm unit 160: motion detection unit
170: risk determination unit 171: piping DB
180: image learning unit 181: image DB

Claims (7)

In the driving patrol system for monitoring the access of dangerous substances in the underground gas pipeline by circuit inspection,
an image collection unit for taking a ground image on the circuit inspection path;
an image extraction unit for extracting an image from the image collected by the image collection unit;
an image reading unit to determine the substance of the image extracted by the image extraction unit to determine a dangerous substance;
a display unit for displaying the read image result together with the collected image in real time;
an alarm unit notifying the driver when it is determined that there is a dangerous material as a result of reading by the image reading unit;
a motion detection unit for detecting the movement of the dangerous object determined by the image reading unit; and
Including; including,;
A driving patrol system for monitoring the approach of dangerous substances in underground gas pipelines, which detects dangerous substances in the images collected through the image collecting unit and assists in a circuit inspection by a driver. According to claim 1, wherein the image collecting unit,
A driving patrol system for monitoring hazardous material access in an underground gas pipeline, configured to further collect images of the rear and sides together with the front of the vehicle. According to claim 1, wherein the image collecting unit,
A driving patrol system for monitoring access to dangerous substances in underground gas pipelines, which is configured to be linked to a camera device for a black box installed in a vehicle. The method of claim 1,
An image learning unit to which a deep learning model is applied; further comprising,
The image reading unit is configured to determine the substance of the image through learning made in the image learning unit to determine a dangerous substance, a driving patrol system for monitoring the approach of a dangerous substance in an underground gas pipe. The method of claim 4, wherein the image learning unit,
A driving patrol system for monitoring access to dangerous substances in underground gas pipelines, comprising an image DB that stores and manages the images provided by the image extraction unit and uses them as learning materials. According to claim 4, wherein the image reading unit,
A driving patrol system for monitoring the approach of dangerous substances in an underground gas pipeline, configured to further determine the accuracy of the determined image entity and provide it through the display unit. 7. The method of claim 6,
The risk determination unit determines different levels of risk according to whether the dangerous material approaches the underground gas pipe,
The warning unit is configured to allow the driver to recognize the urgency of the matter by varying the strength of the warning according to the level of risk.

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