KR102488803B1 - System for accumulating shape data of rail roadbed structure using sensor nodes and wireless network, and method for the same - Google Patents

Abstract

Provided are a system and method for accumulating shape data of a railway subgrade structure by using a sensor node and a wireless network. The system can calculate construction errors by remotely collecting and accumulating shape data of a reinforced railway subgrade, in real time during construction of the reinforced railway subgrade, by using a sensor node and a wireless network, and adjust a construction schedule to be utilized in a subsequent construction process. In addition, the system can collect and examine deformation data which is generated in real time as construction proceeds while identifying a 3D shape of a railway subgrade structure via an arrangement of sensor nodes which transmit location information in real time during construction of a reinforced railway subgrade. Accordingly, it is possible to manage construction defects immediately and determine a schedule for a subsequent process accurately. To this end, a system for accumulating shape data of a railway subgrade structure by using a sensor node and a wireless network comprises: a reinforced railway subgrade; a sensor node; and a management server.

Description

Shape data accumulation system of railway trackbed structure using sensor node and wireless network and its method

The present invention relates to a system for accumulating shape data of a railway roadbed structure and a method thereof, and more specifically, to calculate construction errors by accumulating shape data of a railway reinforced roadbed in real time during construction of a railway reinforced roadbed using a sensor node and a wireless network. It relates to a system and method for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network, which can be used in the subsequent construction process by adjusting the construction schedule and adjusting the construction schedule.

In general, unlike other means of transportation, railroads are not detourable means of transportation, so if they are lost, a lot of money is required until they are restored, so urgent restoration is urgently needed. In addition, due to the collapse or loss of a track or its adjacent slope due to localized heavy rain or guerrilla torrential rain, the cost required to restore it is gradually increasing, the damage is also large, and maintenance is not easy. In order to restore these lines, the current emergency repair method not only requires a lot of costs, but also causes many problems in terms of quality control and maintenance.

In addition, the railway subgrade structure has the function of sufficiently firmly supporting the tracks, imparting appropriate elasticity, preventing the upper subgrade from weakening, and distributing and transmitting the train load to the subgrade. When the durability and bearing capacity of such railway roadbed are lowered due to the passage of years of use, repeated impact loads of trains, intrusion of rainwater, etc., and cause track irregularities due to subsidence due to penetration of ballast into the roadbed, safety accidents caused by this may occur.

Therefore, it is required to establish active measures to strengthen the durability and bearing capacity of the railroad bed in order to secure safe, prompt and accurate logistics transportation and stability in train operation. Efficiency in railway construction and maintenance work is required by securing subgrade materials that can be utilized as rails, extending track maintenance cycles through track manpower, and standardizing or optimizing design and construction.

On the other hand, Figure 1 is a view showing a general railway road bed.

As shown in FIG. 1, a roadbed 3 and sleepers 4 are generally installed on a roadbed 1, and a train 5 runs along the rail. This road bed (1) is composed of an inclined slope (2) having a slope of 1.0: 1.5 to 2.0, so as the height (H) of the track increases, it occupies a large area of land. That is, since the side of the roadbed (1) of the current railway and road forms a slope (2) of 1.0: 1.5 to 2.0 to secure safety, the area of the land occupied by the slope (2) is the height of the roadbed ( H) gradually widens in proportion to In addition, the railroad bed (1) is a slope with a slope of 1.0:1.5 to 2.0 to secure a safety factor, and occupies a larger area of land as the height of the embankment increases. For example, when the height H is 5 m, the roadbed 1 may be formed to occupy a double track width L of 30 m or to occupy a double track width L of 53 m when the height H is 10 m. .

On the other hand, in general, information on shape and deformation is collected by directly measuring the settlement and horizontal displacement of the railway subgrade structure under construction.

2 is a photograph illustrating direct measurement of a railway subgrade structure according to the prior art. In the case of a railway subgrade structure according to the prior art, as shown in FIG. 2, settlement is generally measured through direct measurement. For this direct measurement, there is a problem in that measurement personnel have to move directly to the field, and since it is a periodic measurement rather than a continuous measurement, the continuity of data is deteriorated. In addition, there is a problem in that it is difficult to immediately cope with the situation in a situation where direct measurement is difficult, such as torrential rain, etc. and may affect the railroad subgrade structure. In addition, there is a problem that it is difficult to install, measure, and remove periodic sensors, and high costs occur.

Accordingly, it is necessary to develop a technology capable of grasping the shape change of the railway subgrade structure in real time during the construction of the railway subgrade structure.

On the other hand, as a prior art related to facility monitoring, Korean Patent Registration No. 10-2268274 discloses an invention titled "sensor node and facility monitoring system including the same", which will be described with reference to FIGS. 3A and 3B. .

3A is a configuration diagram of a facility monitoring system according to the prior art, and FIG. 3B is a detailed configuration diagram of a sensor node shown in FIG. 3A.

Referring to FIGS. 3A and 3B , the facility monitoring system according to the prior art includes a measurement unit 10, a sensor node 20, a gateway 30, and a server 40, and measures the safety state of the facility in real time. can be monitored.

The measurement unit 10 measures safety-related variables for the facility. For example, the facility may be any one of a building, an embankment, an embankment, a road, a pier, a dam, a railroad, a slope, and a steep slope. At this time, the safety-related variable is information that is the basis for determining the safety state of the facility, and may vary according to the type of facility.

The measuring unit 10 may include a plurality of sensors, and the sensors constituting the measuring unit 10 include an acceleration sensor, a displacement sensor, an earth pressure sensor, a stress sensor, a load sensor, a pore water pressure sensor, a ground water level sensor, and a slope. It may include at least one of a sensor, an elastic wave velocity sensor, an ultrasonic velocity sensor, an electrical resistivity measurement sensor, and a radar velocity sensor. At this time, the sensors constituting the measurement unit 10 are installed in the expected vulnerable section of the facility, and the measurement unit 10 may be connected to a sensor node 20 to be described later by wire.

Specifically, referring to FIG. 3B, the sensor node 20 includes a data collection unit 21, a period control unit 22, a reliability verification unit 23, a safety rate estimation unit 24, a time estimation unit 25, It is configured to include a storage unit 26 and a communication unit 27.

The data collection unit 21 collects measurement data about safety-related variables from the measurement unit 10 at each measurement period. At this time, the data collection unit 21 collects measurement data from the measurement unit 10 by supplying power to the measurement unit 10 at each measurement period, and then cuts off power to the measurement unit 10 .

The period control unit 22 adjusts the measurement period of the data collection unit 21, and the reliability verification unit 23 checks whether the current measurement data collected by the data collection unit 21 is out of the confidence interval of the normal distribution of the measurement data. verify whether

The safety factor estimation unit 24 determines whether critical measurement data is continuously being collected for a set time from the past to the present.

The time estimation unit 25 determines the time of critical measurement data whose measurement-based safety factor for the facility calculated using the corresponding measurement data among the measurement data verified as abnormal by the reliability verification unit is smaller than the design safety factor for the facility and greater than 1. The expected time for the measurement-based safety factor to reach 1 in the future can be calculated by regression analysis of the trend according to .

The storage unit 26 stores measurement data collected by the data collection unit 21 . At this time, the measurement data may be verified by the reliability verification unit 23 and stored after being classified as normal measurement data or abnormal measurement data. In addition, the communication unit 27 may transmit the measurement-based safety factor calculated by the measurement data through the safety factor estimation unit 24 to the gateway 30 .

According to the facility monitoring system according to the prior art, the period control unit compares the slope of the recent cumulative distribution function of the total measurement data collected in the data collection unit with the recent cumulative distribution function of the recent measurement data collected in a set recent period to compare the recent cumulative distribution function. If the slope of the distribution function is gentler than the slope of the entire cumulative distribution function, precise measurement is possible by adjusting the measurement cycle of the data collection unit, and accordingly, the safety state of the facility can be quickly and precisely analyzed and monitored.

However, in the case of the facility monitoring system according to the prior art, since the data collection unit 21 collects measurement data from the measurement unit 10 by supplying power to the measurement unit 10 at each measurement period, real-time monitoring of the facility is performed. difficult.

On the other hand, as a related art, Korean Patent Registration No. 10-1431237 discloses an invention titled "Abnormal behavior detection and stability evaluation system and method of a structure", which will be described with reference to FIG. 4 .

4 is a configuration diagram of a system for detecting abnormal behavior and evaluating safety of a structure according to the prior art.

Referring to FIG. 4, the system for detecting abnormal behavior and evaluating safety of a structure according to the prior art 50 includes an inspection mode selection unit 51, a data collection unit 52, an input data characteristic extraction unit 53, and a determination Judgment boundary determination unit 54, structure abnormal behavior and damage detection unit 55, damage index comparison unit 56, damage index pattern analysis unit 57, damage area estimation unit 58, and damage diagnosis result output unit 59 ), and diagnoses damage to the structure 60 and estimates the damage area.

First, since the natural frequency of the structure 60 changes during abnormal behavior, the system 50 for detecting abnormal behavior and evaluating safety of structures according to the prior art collects acceleration signals from the sensor node 61 to which the acceleration sensor is attached. And, it is possible to detect the frequency change occurring in the case of abnormal behavior of the structure 60 in the time domain.

The inspection mode selector 51 selects an inspection mode from among continuous inspection (continuous monitoring), periodic inspection (periodic monitoring), and point-in-time inspection (viewpoint monitoring) modes. Here, the continuous inspection is performed in the abnormal point-of-view monitoring method to continuously monitor important parts of the structure, and the periodic inspection is performed in the time domain and frequency domain safety inspection method to periodically evaluate the safety state. And time domain and frequency domain safety inspection methods are performed to evaluate the safety status based on the time point of designated or continuous inspection results. The safety evaluation result may be provided in the form of an index compared with the initial state of the structure 60, and in this case, the criterion may be designated by the user.

The data collection unit 52 collects acceleration data of the structure 60 in real time from a plurality of sensor nodes 61 installed in the structure 60 according to an inspection mode selected from continuous inspection, periodic inspection, and point-in-time inspection modes.

The input data characteristic extractor 53 extracts characteristics of the input data in the time domain and frequency domain, respectively. At this time, wavelet transform and Hilbert transform are used to extract the damage characteristics of the time domain signal, a damage index is derived using a control chart, and decision-making is performed.

The decision determination boundary determining unit 54 performs the abnormal behavior determination boundary of the structure 60 in each of the time domain and the frequency domain. At this time, it can be performed according to the X-bar Chart control chart for the time domain, and it can be performed according to the correlation coefficient (CC) and root mean square deviation (RMSD) for the frequency domain.

The structure abnormal behavior and damage detector 55 detects the abnormal behavior and damage of the structure 60 to derive a damage index.

The damage index comparator 56 compares the damage index of each sensor node 61 in which abnormal behavior and damage are detected, identifies the sensor node 61 where the abnormal behavior occurs, and the damage index pattern analyzer 57 compares all sensors By analyzing the damage index pattern of the node 61, for example, it is possible to determine a damage transition region of the lower layer, and also to determine whether or not complex damage is present.

The damaged area estimator 58 makes a decision by estimating the structure damaged area. For example, the instantaneous frequency of the structure is analyzed through the Hilbert Huang transform (HHT) to estimate the time point of the abnormal behavior. At this time, since the continuously measured data is a vast amount and the subjective judgment of the user or the abnormal behavior must be periodically evaluated, the abnormal behavior of the structure 60 can be continuously determined. Through an estimation algorithm, The precision of safety evaluation can be increased through the process of extracting and comparing the characteristics of data before and after based on the time of damage.

The damage diagnosis result output unit 59 outputs diagnosis results such as the damaged area estimated by the damaged area estimation unit 58 .

An abnormal behavior detection and safety evaluation system of a structure according to the prior art utilizes natural vibration (Ambient Vibration) for continuous inspection (continuous monitoring) of the structure 60, and at this time, the measurement is performed regardless of the structure 60 information. It is possible to determine the presence or absence of an abnormality by immediately acquiring the sensor data, accumulating and storing the sensor data, and comparing before and after based on the time point when the safety of the structure is expected to be affected.

According to a system for detecting abnormal behavior and evaluating safety of a structure according to the prior art, the time domain and frequency domain are analyzed in combination from the high frequency vibration response signal of a structure, which is a large social infrastructure, and the structure is performed according to a self-learning and pattern recognition-based algorithm. By performing the evaluation of the abnormal behavior of the structure, it is possible to easily estimate the time point of the continuous abnormal behavior of the structure. That is, it is possible to detect the frequency change occurring in the case of abnormal behavior of a structure in the time domain, and accordingly, based on highly sensitive measurement data, early detection of collapse of a large structure can minimize human life and property damage. In addition, whenever an abnormal behavior of a structure is detected, the authenticity of the detected abnormal behavior can be determined, and a damaged area can be easily estimated with the sensor node as the center.

However, in the case of the abnormal behavior detection and safety evaluation system of a structure according to the prior art, since it is a method of evaluating safety by detecting abnormal behavior of a structure that has been completed, for example, the shape change of a railway subgrade structure during construction There is a limitation that is difficult to grasp.

Republic of Korea Patent Registration No. 10-2268274 (registration date: June 17, 2021), title of invention: "Sensor node and facility monitoring system including the same" Republic of Korea Patent Registration No. 10-1431237 (Registration date: August 11, 2014), title of invention: "Abnormal behavior detection and stability evaluation system and method of structures" Republic of Korea Patent Publication No. 2010-112277 (published date: October 19, 2010), title of invention: "Method and system for remote automatic measurement of civil structures using wireless sensor network" Republic of Korea Patent Publication No. 2013-94082 (published date: August 23, 2013), title of invention: "Safety management system and safety management method of steel tower structure using wireless sensor network" Republic of Korea Patent Publication No. 2014-36767 (Publication date: March 26, 2014), title of invention: "Construction method of railway subgrade structure"

The technical problem to be achieved by the present invention for solving the above problems is to calculate construction errors and build construction errors by remotely collecting and accumulating shape data of the railway reinforced roadbed in real time during construction of the railway reinforced roadbed using a sensor node and a wireless network. It is to provide a system and method for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network, which can be used in the subsequent construction process by adjusting the schedule.

Another technical problem to be achieved by the present invention is deformation data generated in real time as the construction proceeds while grasping the 3D shape of the railway subgrade structure through the arrangement of sensor nodes that transmit location information in real time during construction of the railway reinforcement subgrade. It is to provide a system and method for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network that can collect and review.

As a means for achieving the above-described technical problem, the system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to the present invention is composed of a ground surface and a side surface, and the shape of the railway trackbed structure is measured during construction. reinforced road bed; Sensor nodes installed on the ground surface and side surfaces of the railway reinforced roadbed, respectively, measuring the shape of the railway reinforced roadbed in real time to generate measurement data; And a management server that remotely collects measurement data from the sensor node through a wireless network, compares and analyzes the measurement data, accumulates integrated data, calculates a construction error, and adjusts a construction schedule, wherein the management server includes the It is characterized in that during the construction of the railway reinforced roadbed, the convergence of the settlement and horizontal displacement of the railway reinforced roadbed is determined in real time to determine and adjust the construction schedule according to the post process.

Here, the sensor nodes are installed at multiple points on the ground surface and side surfaces of the railway reinforced roadbed to form a sensor node network, and a plurality of sensor nodes are installed in cross-sectional change sections requiring intensive management to measure the shape of the railway reinforced roadbed in detail. .

Here, the sensor node may include a settlement meter installed on the ground surface or side surface of the railway reinforced roadbed to measure the settlement of the railway reinforced roadbed in real time; a horizontal displacement meter installed on the surface or side of the railway reinforced roadbed to measure the horizontal displacement of the railway reinforced roadbed in real time; and a wireless communication module for transmitting measurement data on settlement and horizontal displacement of the railway reinforced subgrade to the management server through a wireless network.

Here, when the railway reinforced roadbed is constructed on soft ground, the sensor node may measure the railway reinforced roadbed in real time so as to accurately calculate a preloading period when preloading the soft ground.

Here, the management server includes a measurement data collection unit that collects measurement data on horizontal displacement and settlement of the railway reinforced subgrade from the sensor node through a wireless network; a comparison data collection unit which collects design data and construction data of the railway reinforced roadbed and climate data on the construction site of the railway reinforced roadbed as comparison data so as to be compared with the measurement data collected by the measurement data collection unit; a shape data processing unit that compares the measurement data with the comparison data and processes the shape data of the railway reinforced roadbed; a data analysis unit that compares and analyzes the measurement data and the comparison data; an integrated data accumulation unit for accumulating the data analyzed by the data analysis unit as integrated data; a construction error calculation unit that calculates a construction error during construction of the railway reinforced roadbed from the integrated data; and a construction schedule adjustment unit that adjusts the construction schedule in response to the construction error calculated by the construction error calculation unit.

Here, the shape data processing unit may reflect the shape change of the railway reinforced roadbed in real time according to the collected measurement data and process it into 3D shape data.

Here, the comparison data collection unit, the design data collection unit for collecting the design data for comparison with the measurement data; a construction data collection unit that collects construction data for comparison with the measurement data; and a climate data collection unit that collects on-site climate data in real time during the construction of the railway reinforced roadbed.

Here, the management server may further include an integrated information DB for storing the measurement data, the comparison data, and the accumulated integrated data, respectively.

The system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to the present invention is a terminal possessed by a site manager, and integrates data, construction error data, and construction schedule data accumulated from the management server through a wireless network. An on-site terminal to be provided may be additionally included.

The system for accumulating shape data of a railroad trackbed structure using a sensor node and a wireless network according to the present invention includes a design office providing design data according to the design of the railroad reinforced roadbed to a comparison data collection unit of the management server; a construction company providing construction data according to the construction of the railway reinforced roadbed to the comparison data collection unit of the management server; and a meteorological office providing a comparison data collection unit of the management server with on-site climate data during construction of the railway reinforced roadbed in real time, wherein the management server measures the collected design data, construction data, and climate data. Data can be compared to accumulate integrated data.

On the other hand, as another means for achieving the above-described technical problem, the method for accumulating shape data of a railroad track bed structure using a sensor node and a wireless network according to the present invention includes: a) installing sensor nodes on the surface and side of a railway reinforced road bed; step; b) measuring, by the sensor node, the subsidence and horizontal displacement of the railway reinforced subgrade in real time during construction of the railway subgrade structure; c) collecting, by a management server, measurement data from each of the sensor nodes through a wireless network; d) forming, by the management server, shape data of a railway reinforced roadbed corresponding to measurement data by collecting comparison data; e) analyzing the measurement data and comparison data by the management server; f) accumulating integrated data based on the analyzed data by the management server; and g) calculating, by the management server, a construction error and adjusting a construction schedule, wherein the management server determines in real time whether the subsidence and horizontal displacement of the railroad reinforced roadbed converge during the construction of the railroad reinforced roadbed. It is characterized by determining and adjusting the construction schedule according to the post-process.

According to the present invention, by using a sensor node and a wireless network to remotely collect and accumulate shape data of the railway reinforced roadbed in real time during the construction of the railway reinforced roadbed, the construction error can be calculated and the construction schedule can be adjusted to be used in the subsequent construction process. .

According to the present invention, it is possible to collect and review deformation data generated in real time as construction proceeds while grasping the 3D shape of the railway subgrade structure through the arrangement of sensor nodes that transmit location information in real time during construction of the railway reinforcement subgrade. Accordingly, it is possible to immediately cope with construction defects and accurately determine the schedule of the subsequent process.

According to the present invention, by remotely collecting the shape data of the railroad reinforced roadbed in real time during the construction of the railroad reinforced roadbed, it is possible to increase the convenience of on-site measurement of the railroad roadbed structure, and immediately respond to construction variables such as construction defects and torrential rain. can respond

1 is a view showing a general railroad bed structure.
2 is a photograph illustrating direct measurement of a railway subgrade structure according to the prior art.
3A is a configuration diagram of a facility monitoring system according to the prior art, and FIG. 3B is a detailed configuration diagram of a sensor node shown in FIG. 3A.
4 is a configuration diagram of a system for detecting abnormal behavior and evaluating safety of a structure according to the prior art.
5 is a schematic configuration diagram of a system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.
6 is a detailed configuration diagram of a management server in a system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.
7 is a detailed configuration diagram of a sensor node in a system for accumulating shape data of a railroad track bed structure using a sensor node and a wireless network according to an embodiment of the present invention.
8 is a detailed configuration diagram of a comparison data collection unit of a management server in a system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.
9A is a diagram showing convergence of roadbed deformation before wall construction when the shape data accumulation system of a railway roadbed structure using a sensor node and a wireless network according to an embodiment of the present invention is applied to a railway reinforced roadbed, and FIG. 9B is a view showing wall construction It is a drawing showing the after.
10 is a diagram illustrating construction of a multi-point sensor node network in a system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention.
11 is a diagram for explaining real-time measurement during preloading of soft ground in the system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.
12 is an operation flow chart illustrating a method for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated. Also, terms such as “… unit” described in the specification refer to a unit that processes at least one function or operation, and may be implemented by hardware, software, or a combination of hardware and software.

[Shape data accumulation system of railway trackbed structure using sensor node and wireless network]

5 is a schematic configuration diagram of a system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention, and FIG. 6 is a railway using a sensor node and a wireless network according to an embodiment of the present invention. It is a detailed configuration diagram of the management server in the shape data accumulation system of the subgrade structure.

Referring to FIG. 5 , the system for accumulating shape data of a railroad track bed structure using a sensor node and a wireless network according to an embodiment of the present invention includes a railroad reinforced road bed 100, a sensor node 200, and a management server 300 In addition, the field terminal 400, the design office 500, the construction company 600, and the Korea Meteorological Administration 700 may be additionally included. Here, the management server 300, as shown in Figure 6, the measurement data collection unit 310, comparison data collection unit 320, shape data processing unit 330, data analysis unit 340, integration It is configured to include a data accumulation unit 350, an integrated information DB 360, a construction error calculation unit 370, and a construction schedule adjustment unit 380.

As shown in FIG. 9a to be described later, the railroad reinforced roadbed 100 is composed of a ground surface 100a and a side surface 100b, and the shape of the railroad roadbed structure is measured during construction.

The sensor node 200 is installed on the ground surface 100a and the side surface 100b of the railway reinforced roadbed 100, respectively, and measures the shape of the railway reinforced roadbed 100 in real time to generate measurement data. For example, the sensor node 200 can be installed at multiple points, and in order to deliver measurement data measured by the sensor node 200 to the management server 300, the sensor node 200 and A gateway connecting the management server 300 may be provided. At this time, the gateway is designed to include a plurality of wireless communication modules communicating with a plurality of sensor nodes 200, and each wireless communication module performs wireless communication with a designated sensor node, respectively.

The management server 300 remotely collects measurement data from the sensor node 200 through a wireless network, compares and analyzes the measurement data, accumulates integrated data, calculates construction errors, and adjusts construction schedules. That is, the management server 300 may determine in real time whether the settlement and horizontal displacement of the railway reinforced roadbed 100 converge during the construction of the railway reinforced roadbed 100 to determine and adjust the construction schedule according to the post-process. there is.

The site terminal 400 is a terminal possessed by a site manager and can receive accumulated integrated data, construction error data, and construction schedule data from the management server 300 through a wireless network.

The design agency 500 provides design data according to the design of the railway reinforced roadbed 100 to the comparison data collection unit 320 of the management server 300 .

The construction company 600 provides construction data according to the construction of the railroad reinforced roadbed 100 to the comparison data collection unit 320 of the management server 300 .

The Korea Meteorological Administration 700 provides the comparison data collection unit 320 of the management server 300 with climate data of the site during the construction of the railway reinforced roadbed 100 in real time.

Accordingly, the management server 300 may accumulate integrated data by comparing the collected design data, construction data, and climate data with the measurement data.

Specifically, referring to FIG. 6 , the measurement data collection unit 310 of the management server 300 measures the horizontal displacement and settlement of the railway reinforced roadbed 100 from the sensor node 200 through a wireless network. Collect data.

The comparison data collection unit 320 of the management server 300 is configured to compare the design data and construction data of the railway reinforced roadbed 100 with the measurement data collected by the measurement data collector 310 and the railway reinforced roadbed. Climate data for the construction site of (100) is collected as comparative data.

The shape data processing unit 330 of the management server 300 compares the measurement data with the comparison data and processes the shape data of the railway reinforced roadbed 100. That is, the shape data processing unit 330 reflects the shape change of the railway reinforced roadbed 100 in real time according to the collected measurement data and processes it into 3D shape data. At this time, the shape data is accumulated as integrated data of the railroad subgrade structure along with design data, construction data, and climate data, and then can be used in the next stage of design and construction through real-time data processing as needed.

The data analysis unit 340 of the management server 300 compares and analyzes the measurement data and the comparison data.

The integrated data accumulation unit 350 of the management server 300 accumulates the data analyzed by the data analysis unit 340 as integrated data.

The integrated information DB 360 of the management server 300 stores the measurement data, the comparison data, and the accumulated integrated data, respectively.

The construction error calculation unit 370 of the management server 300 calculates the construction error during construction of the railway reinforced roadbed 100 from the integrated data.

The construction schedule adjustment unit 380 of the management server 300 adjusts the construction schedule in response to the construction error calculated by the construction error calculation unit 370 .

Meanwhile, FIG. 7 is a detailed configuration diagram of a sensor node in a system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention.

Referring to FIG. 7, in the system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention, the sensor node 200 includes a settlement gauge 210, a horizontal displacement gauge 220, and wireless communication. Module 230 may include, but is not limited to.

The settlement meter 210 is installed on the ground surface or side surface of the railroad reinforced roadbed 100 to measure the settlement of the railroad reinforced roadbed 100 in real time.

The horizontal displacement meter 220 is installed on the ground surface or side surface of the railway reinforced roadbed 100 to measure the horizontal displacement of the railway reinforced roadbed 100 in real time.

The wireless communication module 230 transmits measurement data on the settlement and horizontal displacement of the railway reinforced subgrade 100 to the management server 300 through a wireless network.

Meanwhile, FIG. 8 is a detailed configuration diagram of a comparison data collection unit of a management server in a system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.

Referring to FIG. 8, in the system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention, the comparison data collection unit 320 of the management server includes a design data collection unit 321 and construction data A collection unit 322 and a climate data collection unit 323 are included.

The design data collection unit 321 of the comparison data collection unit 320 collects design data for comparison with the measurement data.

The construction data collection unit 322 collects construction data for comparison with the measurement data.

The climate data collection unit 323 collects on-site climate data in real time during the construction of the railroad reinforced roadbed 100 .

On the other hand, FIG. 9A is a view showing convergence of roadbed deformation before wall construction when the shape data accumulation system of a railroad roadbed structure using a sensor node and a wireless network according to an embodiment of the present invention is applied to a railroad reinforcement roadbed, and FIG. 9B is This is a drawing showing the wall after construction.

First, in the case of the shape data accumulation system of a railway roadbed structure using a sensor node and a wireless network according to an embodiment of the present invention, as shown in FIGS. The transmission sensor node 200 is attached to the ground surface 100a and the side surface 100b of the railroad reinforced roadbed 100 to collect shape data of the railroad reinforced roadbed 100 such as settlement and horizontal displacement. At this time, the sensor node 200 is composed of a ground surface sensor node 200a and a side surface sensor node 200b, and is installed on the ground surface 100a and side surface 100b of the railway reinforced roadbed 100, respectively, and the railway Measurement data is generated by measuring the shape of the reinforced subgrade 100 in real time.

At this time, since the shape information collected from each sensor node 200 can be collected from a long distance through a wireless network, direct visit measurement is unnecessary, and accordingly, there is no inconvenience that measurement personnel have to move to the site. In addition, since the shape information measured by the sensor node 200 has data continuity and is collected in real time, it is possible to immediately deal with construction variables such as construction defects and heavy rain. In addition, since the convergence of settlement and horizontal displacement can be determined in real time, the schedule of post-process construction (eg, structure construction or track construction) can be quickly and accurately determined.

Meanwhile, FIG. 10 is a diagram illustrating construction of a multi-point sensor node network in a system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention.

In the case of the shape data accumulation system of a railway roadbed structure using a sensor node and a wireless network according to an embodiment of the present invention, as shown in FIG. 10, the sensor node 200 is the ground surface ( 100a) and the side surface 100b are installed at multiple points to form a network of sensor nodes, and multiple sensors are installed in cross-sectional change sections requiring centralized management to measure the shape of the railway reinforced roadbed 100 in detail.

Meanwhile, FIG. 11 is a diagram for explaining real-time measurement during preloading of soft ground in the system for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.

As shown in FIG. 11, when the railway reinforced roadbed 100 is constructed on soft ground, the sensor node 200 is configured to accurately calculate the preloading period when preloading the soft ground. (100) can be measured in real time.

As a result, according to the shape data accumulation system of a railroad trackbed structure using a sensor node and a wireless network according to an embodiment of the present invention, a sensor node that wirelessly transmits multi-point location information in real time is installed, and it is connected to a wireless network to construct It is possible to measure the change in the shape of the railway subgrade structure in real time. In addition, by utilizing a large amount of quantified information, it is possible to more continuously and accurately calculate the site environment change and subsequent construction process schedule due to natural disasters such as construction defects and concentrated rainfall. In addition, it is possible to minimize construction errors at an early stage by integrating and accumulating shape data and design data collected during construction, and real-time data as needed through quantification of accumulated data according to the integration of shape data and design data for railway reinforced roadbeds. It can be processed, so it can be used for calculating the design and construction schedule of the subsequent construction process.

[How to accumulate shape data of railway trackbed structure using sensor node and wireless network]

12 is an operation flow chart illustrating a method for accumulating shape data of a railway subgrade structure using a sensor node and a wireless network according to an embodiment of the present invention.

Referring to FIG. 12, in the method for accumulating shape data of a railroad track bed structure using a sensor node and a wireless network according to an embodiment of the present invention, first, sensors are placed on the ground surface 100a and side surface 100b of the railroad reinforced road bed 100. Node 200 is installed (S110).

Next, the sensor node 200 measures the settlement and horizontal displacement of the railway reinforced subgrade 100 in real time during construction of the railway subgrade structure (S120). Specifically, the sensor nodes 200 are installed at multiple points on the ground surface 100a and side surface 100b of the railway reinforced roadbed 100 to form a sensor node network, and a number of them are installed in cross-sectional change sections requiring intensive management Thus, the shape of the railway reinforced roadbed 100 can be measured in detail. In addition, when the railway reinforced roadbed 100 is constructed on soft ground, the sensor node 200 measures the railway reinforced roadbed 100 in real time so that the preloading period can be accurately calculated during preloading of the soft ground. can do.

Specifically, the sensor node 200 includes a settlement meter 210 installed on the ground surface or side surface of the railway reinforced roadbed 100 to measure the settlement of the railway reinforced roadbed 100 in real time; a horizontal displacement meter 220 installed on the ground surface or side surface of the railway reinforced roadbed 100 to measure the horizontal displacement of the railway reinforced roadbed 100 in real time; and a wireless communication module 230 for transmitting measurement data on settlement and horizontal displacement of the railway reinforced subgrade 100 to the management server 300 through a wireless network.

Next, the management server 300 collects measurement data from each sensor node 200 through a wireless network (S130). Specifically, the measurement data collection unit 310 of the management server 300 collects measurement data about horizontal displacement and settlement of the railway reinforced roadbed 100 from the sensor node 200 through a wireless network.

Next, the management server 300 collects comparison data to form shape data of the railway reinforced roadbed 100 corresponding to the measurement data (S140). Specifically, the comparison data collection unit 320 of the management server 300 is the design data and construction data of the railroad reinforced roadbed 100 and construction data and Climate data on the construction site of the railway reinforced roadbed 100 is collected as comparison data. More specifically, the comparison data collection unit 320 includes a design data collection unit 321 for collecting design data for comparison with the measurement data; a construction data collection unit 322 that collects construction data for comparison with the measurement data; and a climate data collection unit 323 that collects on-site climate data in real time during the construction of the railway reinforced roadbed 100 . In addition, the shape data processing unit 330 of the management server 300 compares the measurement data with the comparison data and processes the shape data of the railway reinforced roadbed 100. At this time, the shape data processing unit 330 may reflect the shape change of the railway reinforced roadbed 100 in real time according to the collected measurement data and process it into 3D shape data.

Next, the management server 300 analyzes the measurement data and comparison data (S150). Specifically, the data analysis unit 340 of the management server 300 compares and analyzes the measurement data and the comparison data.

Next, the management server 300 accumulates integrated data based on the analyzed data (S160). Specifically, the integrated data accumulation unit 350 of the management server 300 accumulates the data analyzed by the data analysis unit 340 as integrated data.

Next, the management server 300 calculates the construction error and adjusts the construction schedule (S170). Specifically, the construction error calculation unit 370 of the management server 300 calculates the construction error during construction of the railway reinforced roadbed 100 from the integrated data, and the construction schedule adjustment unit 380 calculates the construction error In response to the construction error calculated by the government 370, the construction schedule is adjusted.

Accordingly, the management server 300 determines in real time whether the settlement and horizontal displacement of the railway reinforced roadbed 100 converge during the construction of the railway reinforced roadbed 100 to determine and adjust the construction schedule according to the post-process. can

After all, according to the embodiment of the present invention, during the construction of the railway reinforced roadbed using sensor nodes and a wireless network, the shape data of the railway reinforced roadbed is remotely collected and accumulated in real time to calculate the construction error and adjust the construction schedule for subsequent construction In addition, through the placement of sensor nodes that transmit location information in real time during the construction of the railway reinforced roadbed, the 3D shape of the railway roadbed structure is identified and deformation data generated in real time as the construction progresses is collected. and can be reviewed, and accordingly, it is possible to immediately cope with construction defects and accurately determine the schedule of the subsequent process.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included in the scope of the present invention. do.

100: railway reinforced roadbed
100a: ground surface 100b: side
110: ground 120: pile
200: sensor node
200a: ground surface sensor node 200b: side sensor node
210: settlement gauge 220: horizontal displacement gauge
230: wireless communication module 300: management server
310: measurement data collection unit 320: comparison data collection unit
330: shape data processing unit 340: data analysis unit
350: integrated data accumulation unit 360: integrated information DB
370: construction error calculation unit 380: construction schedule adjustment unit
321: design data collection unit 322: construction data collection unit
323 climate data collection unit
400: field terminal 500: design department
600: construction company 700: Korea Meteorological Administration

Claims (17)

A railroad reinforcement roadbed 100 composed of a ground surface 100a and a side surface 100b and measuring the shape of the railroad roadbed structure during construction;
Sensor nodes 200 installed on the ground surface 100a and side surface 100b of the railway reinforced roadbed 100, respectively, measuring the shape of the railway reinforced roadbed 100 in real time to generate measurement data; and
A management server 300 that remotely collects measurement data from the sensor node 200 through a wireless network, compares and analyzes the measurement data, accumulates integrated data, calculates construction errors, and adjusts construction schedules,
The sensor nodes 200 are installed at multiple points on the ground surface 100a and the side surface 100b of the railway reinforced roadbed 100 to form a sensor node network, and are installed in multiple sections in cross-sectional change sections requiring intensive management, so that the railway The shape of the reinforced roadbed 100 is measured in detail, and the shape change of the railroad reinforced roadbed 100 is reflected in real time according to the collected measurement data to be processed into 3D shape data; And
The management server 300 determines in real time whether the settlement and horizontal displacement of the railway reinforced roadbed 100 converge during the construction of the railway reinforced roadbed 100, and determines and adjusts the construction schedule according to the post process. A system for accumulating shape data of railway trackbed structures using sensor nodes and wireless networks. delete The method of claim 1, wherein the sensor node 200,
a settlement meter 210 installed on the ground surface or side surface of the railroad reinforced roadbed 100 to measure the settlement of the railroad reinforced roadbed 100 in real time;
a horizontal displacement meter 220 installed on the ground surface or side surface of the railway reinforced roadbed 100 to measure the horizontal displacement of the railway reinforced roadbed 100 in real time; and
A sensor node including a wireless communication module 230 for transmitting measurement data on settlement and horizontal displacement of the railway reinforced subgrade 100 to the management server 300 through a wireless network and a railway subgrade structure using a wireless network Shape data accumulation system. According to claim 1,
When the railroad reinforcement roadbed 100 is constructed on soft ground, the sensor node 200 measures the railroad reinforcement roadbed 100 in real time so that the preloading period can be accurately calculated during preloading of the soft ground. Shape data accumulation system of railroad trackbed structure using sensor node and wireless network. The method of claim 1, wherein the management server 300,
a measurement data collection unit 310 that collects measurement data on horizontal displacement and settlement of the railway reinforced roadbed 100 from the sensor node 200 through a wireless network;
Collect design data and construction data of the railroad reinforced roadbed 100 and climate data on the construction site of the railroad reinforced roadbed 100 as comparison data so that they can be compared with the measurement data collected by the measurement data collection unit 310 Comparison data collection unit 320 to;
a shape data processing unit 330 that compares the measurement data with the comparison data and processes the shape data of the railway reinforced subgrade 100;
a data analysis unit 340 that compares and analyzes the measurement data and the comparison data;
an integrated data accumulator 350 for accumulating the data analyzed by the data analyzer 340 as integrated data;
a construction error calculation unit 370 that calculates a construction error during construction of the railway reinforced subgrade 100 from the integrated data; and
A shape data accumulation system of a railway trackbed structure using a sensor node and a wireless network including a construction schedule adjustment unit 380 that adjusts a construction schedule in response to the construction error calculated by the construction error calculation unit 370. delete The method of claim 5, wherein the comparison data collection unit 320,
a design data collection unit 321 that collects design data for comparison with the measurement data;
a construction data collection unit 322 that collects construction data for comparison with the measurement data; and
A shape data accumulation system of a railway roadbed structure using a sensor node including a climate data collection unit 323 that collects on-site climate data in real time during the construction of the railway reinforced roadbed 100 and a wireless network. According to claim 5,
A system for accumulating shape data of a railway trackbed structure using a sensor node and a wireless network, further comprising an integrated information DB (360) for storing the measurement data, the comparison data, and the accumulated integrated data, respectively. According to claim 1,
As a terminal possessed by a site manager, a sensor node and a wireless network additionally including a site terminal 400 receiving integrated data, construction error data, and construction schedule data accumulated from the management server 300 through a wireless network. A system for accumulating shape data of a railway trackbed structure using According to claim 1,
a design agency 500 that provides design data according to the design of the railroad reinforced roadbed 100 to the comparison data collection unit 320 of the management server 300;
a construction company 600 providing construction data according to the construction of the railway reinforced roadbed 100 to the comparison data collection unit 320 of the management server 300; and
The Korea Meteorological Administration 700 provides real-time climate data of the site during the construction of the railroad reinforced roadbed 100 to the comparison data collection unit 320 of the management server 300,
The management server 300 compares the collected design data, construction data, and climate data with the measurement data to accumulate integrated data. a) installing sensor nodes 200 on the ground surface 100a and the side surface 100b of the railway reinforced roadbed 100;
b) measuring, by the sensor node 200, the settlement and horizontal displacement of the railway reinforced subgrade 100 in real time during construction of the railway subgrade structure;
c) collecting, by the management server 300, measurement data from each of the sensor nodes 200 through a wireless network;
d) forming, by the management server 300, shape data of the railway reinforced roadbed 100 corresponding to measurement data by collecting comparison data;
e) analyzing the measurement data and comparison data by the management server 300;
f) accumulating integrated data based on the analyzed data by the management server 300; and
g) the management server 300 calculating the construction error and adjusting the construction schedule,
The sensor nodes 200 are installed at multiple points on the ground surface 100a and the side surface 100b of the railway reinforced roadbed 100 to form a sensor node network, and are installed in multiple sections in cross-sectional change sections requiring intensive management, so that the railway The shape of the reinforced roadbed 100 is measured in detail, and the shape change of the railroad reinforced roadbed 100 is reflected in real time according to the collected measurement data to be processed into 3D shape data; And
The management server 300 determines in real time whether the settlement and horizontal displacement of the railway reinforced roadbed 100 converge during the construction of the railway reinforced roadbed 100, and determines and adjusts the construction schedule according to the post process. A method for accumulating shape data of railroad trackbed structures using sensor nodes and wireless networks. delete The method of claim 11, wherein the sensor node 200,
a settlement meter 210 installed on the ground surface or side surface of the railroad reinforced roadbed 100 to measure the settlement of the railroad reinforced roadbed 100 in real time;
a horizontal displacement meter 220 installed on the ground surface or side surface of the railway reinforced roadbed 100 to measure the horizontal displacement of the railway reinforced roadbed 100 in real time; and
A sensor node including a wireless communication module 230 for transmitting measurement data on settlement and horizontal displacement of the railway reinforced subgrade 100 to the management server 300 through a wireless network and a railway subgrade structure using a wireless network How to accumulate shape data. According to claim 11,
When the railroad reinforcement roadbed 100 is constructed on soft ground, the sensor node 200 measures the railroad reinforcement roadbed 100 in real time so that the preloading period can be accurately calculated during preloading of the soft ground. A method for accumulating shape data of a railroad trackbed structure using a characterized sensor node and a wireless network. The method of claim 11, wherein the management server 300,
a measurement data collection unit 310 that collects measurement data on horizontal displacement and settlement of the railway reinforced roadbed 100 from the sensor node 200 through a wireless network;
Collect design data and construction data of the railroad reinforced roadbed 100 and climate data on the construction site of the railroad reinforced roadbed 100 as comparison data so that they can be compared with the measurement data collected by the measurement data collection unit 310 Comparison data collection unit 320 to;
a shape data processing unit 330 that compares the measurement data with the comparison data and processes the shape data of the railway reinforced subgrade 100;
a data analysis unit 340 that compares and analyzes the measurement data and the comparison data;
an integrated data accumulator 350 for accumulating the data analyzed by the data analyzer 340 as integrated data;
a construction error calculation unit 370 that calculates a construction error during construction of the railway reinforced subgrade 100 from the integrated data; and
A method for accumulating shape data of a railroad trackbed structure using a sensor node and a wireless network including a construction schedule adjustment unit 380 that adjusts a construction schedule in response to the construction error calculated by the construction error calculation unit 370. delete The method of claim 15, wherein the comparison data collection unit 320,
a design data collection unit 321 that collects design data for comparison with the measurement data;
a construction data collection unit 322 that collects construction data for comparison with the measurement data; and
A method for accumulating shape data of a railway roadbed structure using a sensor node including a climate data collection unit 323 that collects on-site climate data in real time during the construction of the railway reinforced roadbed 100 and a wireless network.

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