KR102042616B1 - IoT Based Safety Management System of Urban Construction Site - Google Patents

Abstract

Provided in the present invention is an IoT-based regular safety management system in an urban construction site, which analyzes real-time measurement data based on the Internet of Things (IoT) to efficiently predict collapses, and shares a safety state through safety on-site visualization technology with respect to an urban construction site and the surroundings of the site, thereby effectively protecting lives and property. To this end, the present system comprises: an IoT sensor unit installed over a structure and a neighboring adjacent structure in an urban construction site and measuring the likelihood of collapse by detecting abnormal information of the structure; an OSV surveillance unit installed corresponding to the structure and adjacent structures in the urban construction site, and displaying potential danger corresponding to the resultant values of measurement data of the IoT sensor unit, while displaying the degree of danger in various stages such that workers and residents may recognize dangerous situations from the collapse of buildings; and a safety management server unit providing the resultant values with respect to the measurement data of the IoT sensor unit and safety evaluation of the structure, while analyzing the resultant values with respect to the measurement data of the IoT sensor unit and the safety evaluation of the structure, thereby constructing scenario data to predict the collapse of a building.

Description

IoT Based Safety Management System of Urban Construction Site

The present invention relates to an IoT-based downtown construction site safety management system, and more specifically, to predict whether or not collapse while analyzing with the Internet of Things (IoT) -based real-time measurement data, and in the downtown construction site and site It relates to an IoT-based urban construction site safety management system that can effectively protect life and property by sharing safety status through On Site Visualization.

With the recent development of society, such as urbanization and industrialization, large-scale facilities are becoming more diverse and complex.In addition, the aging of urban buildings is rapidly progressing 40 years after 'compression construction' with '70's economic growth. Due to the rapid increase in industrialization and the development of industrialization and the development of large scale commercial facilities, excavation through reclamation in urban centers is mainly near construction, which causes displacement of surrounding ground.

In particular, there are frequent cases in which adjacent structures or facilities are damaged due to displacements in the surrounding ground as well as damage caused by collapse in construction sites due to ground and tunnel excavation.

Therefore, in order to prevent human and physical damage caused by the collapse of the construction site and secondary damage, it is required to strengthen the safety of the national infrastructure.

In addition, due to unpredictable weather events such as heavy rain, heavy snowfall, and typhoon due to global climate change such as global warming, more caution is required in the construction of urban ground excavation. In order to reduce the damage, it is mainly focused on measures such as monitoring the damage through measurement and preventing horizontal displacement using earth walls or anchors.

As a prior art disclosed in relation to the construction of the construction site and the safety management of various construction structures as described above, Republic of Korea Utility Model Publication No. 480367 (2016.05.10.) Is made in the shape of a rectangular box, the circuit board and A battery is installed and a lower case provided with a plurality of magnets is installed on an outer surface of the battery, and one side of an upper surface of the circuit board installed inside the lower case detects an inclination of the temporary structure and outputs a signal value corresponding to the inclination. The output value of the 3-axis acceleration sensor and the 3-axis acceleration sensor is compared with the set value, and if the set value is greater than or equal to the set value, a micro controller for outputting an alarm signal value, a transformer for amplifying the alarm signal value output from the micro controller, and Speaker to output alarm signal value as voice signal is installed. The other side of the upper surface of the circuit board is provided with a zero setting switch for setting the zero point of the three-axis acceleration sensor and a tilt setting switch for setting the slope in the microcontroller, one side of the upper surface of the lower case The battery insertion hole opened and closed by the battery cover is formed through, and the upper case is formed to be coupled to the upper case through which the speaker hole for transmitting the sound output from the speaker to the outside of the upper side is coupled to remove the installation restrictions. BACKGROUND ART A collapse warning device for a temporary structure is known that can easily and freely set a detection range of an alarm generating slope.

In addition, Korean Patent Publication No. 1696629 (January 10, 2017) is installed around the structure to photograph the terminal of the target area of the structure, and a manager terminal for outputting the received collapse warning information, and provided from the photographing terminal Comparing the previous and current shots of the structure, calculate the horizontal speed change and the vertical speed change for the ROI, and if the difference between the horizontal speed change and the vertical speed change is greater than the reference level, As it includes a service providing device that provides collapse warning information to a manager terminal, a collapse warning system using structure deformation monitoring that provides a collapse warning information at an appropriate timing and enables a manager to perform more efficient structure management is known. .

However, in the case of the above-mentioned prior art, Registered Utility Model Publication No. 480367 is a terminal type that can detect the danger of collapse of the structure in the site, and thus the risk information is transmitted only by the alarm sound on the site. It is unprotected to be exposed to safety accidents because it cannot confirm the situation of the system, and it transmits dangerous information only with a temporary alarm sound, so the risk detection efficiency is insufficient in the field, and it is difficult to attach to underwater structures due to electric devices and electric sensors. There was a problem that the power supply is initialized at power failure.

In addition, in the case of the above-mentioned prior art, registered patent No. 1696629 simply outputs the structure by simply photographing the structure and outputting the manager to monitor the collapse warning information. Therefore, it is difficult for the workers in the field to directly check the situation of the structure and precisely sense the risk toward the manager. There was a problem that it was difficult to derive the signal.

KR Utility Model Publication No.480367 (2016.05.10.) Patent Publication No. 1696629 (2017.01.10.)

The present invention is to solve the above problems, by establishing a safety-based safety management network based on sensing site construction and surrounding facilities using the Internet of Things technology to predict the collapse of the analysis data according to the real-time measurement data while immediate risk propagation Its purpose is to provide an IoT-based downtown construction site safety management system that can implement the environment, provide new levels of safety for construction workers and citizens, and protect the lives and property of the people.

In addition, the present invention implements on-site visualization according to the safety visualization technology in the construction site and the site around the downtown, thereby sharing the safety status to maximize the spread of the risk situation, IoT-based that can promote mobile-based citizen (worker) participatory safety management The purpose is to provide a safety management system for downtown construction sites.

The IoT-based downtown construction site always safety management system proposed by the present invention is installed on the structure and surrounding neighboring structures in the downtown construction site and IoT sensor unit for measuring the collapse failure information of the structure; Installed in response to the structures within the construction site of the downtown and surrounding neighboring structures, and displaying the potential risks according to the measured data of the IoT sensor unit, and displaying the risk level step by step so that workers and residents can recognize the danger situation of the structure collapse. An OSV monitoring unit; The safety management server unit provides a result value for the measurement data and structural stability evaluation of the IoT sensor unit but analyzes the measurement data and the result value for the structural stability evaluation to build scenario data to propagate the collapsed situation. It includes;

The IoT sensor unit and the safety management server unit is connected to each other via a wireless communication network to configure an IoT communication module for transmitting and receiving data and signals.

The IoT sensor unit is installed in the construction site, the inclination sensor and strain sensor, the hydraulic pressure gauge and water level sensor, the earth pressure gauge, the field measurement sensor unit configured by applying at least one or more of the load cell, and installed on the adjacent structure, but the inclination sensor and An adjacent measurement sensor unit is formed by applying at least one of a strain sensor, a crack gauge, a global navigation satelite system (GNSS), and a fiber vragg grating (FBG) sensor.

The OSV monitoring unit comprises an on-site OSV monitoring unit installed to prepare for an immediate safety accident in a construction site, and a server type OSV monitoring unit which feeds back the entire data to a safety evaluation algorithm in consideration of a plurality of collapse factors.

The safety management server unit is provided with a BIM generation unit configured to three-dimensional modeling by integrating the building information of the adjacent building on the basis of the building site.

The safety management server unit provides the measurement data of the IoT sensor unit and the results of the structural stability evaluation to the public institutions and related organizations in the form of an API (application program interface), and provide a response method according to the collapse scenario web browser or mobile app A safety accident prevention information sharing platform should be established to be open to public data.

According to the IoT-based downtown construction site safety management system according to the present invention, by establishing a safety management network for construction sites and surrounding facilities in the downtown area to predict the collapse situation with analytical data based on real-time measurement data, and at the same time to immediately propagate the risk when a risk occurs By realizing the environment, it is possible to drastically reduce social management costs while securing a safety management system with low-cost and high-efficiency facilities capable of detecting and responding to disasters in real time from real-time monitoring, and greatly improving prevention and management efficiency in urban collapse accidents. Get an effect.

In addition, the IoT-based downtown construction site safety management system according to the present invention grasps the risk information on the progress of the collapse of the building in real time before the disaster, greatly reducing the frequency of disasters to reduce the size of the disaster and the lives of the people By building a real-time collapse detection system that can protect property and property, it is possible to improve safety management at construction sites and multi-use facilities, respond to scientific disasters and reduce damages, and more effectively cope with IT technologies in safety management fields. There is an effect that can be extended to the safety management field.

1 is a schematic view showing an embodiment according to the present invention.
Figure 2 is a block diagram schematically showing an embodiment according to the present invention.
3 is an exemplary view schematically showing an embodiment according to the present invention.
Figure 4 is an exemplary view schematically showing a BIM generating unit of the safety management server in one embodiment according to the present invention.
Figure 5 is an exemplary view schematically showing a model of the safety management server always safety management service in one embodiment according to the present invention.

The present invention is installed on the structure in the downtown construction site and surrounding structures adjacent to the IoT sensor unit for measuring the collapse failure information of the structure; Installed in response to the structures within the construction site of the downtown and surrounding neighboring structures, and displaying the potential risks according to the measured data of the IoT sensor unit, and displaying the risk level step by step so that workers and residents can recognize the danger situation of the structure collapse. An OSV monitoring unit; The safety management server unit provides a result value for the measurement data and structural stability evaluation of the IoT sensor unit but analyzes the measurement data and the result value for the structural stability evaluation to build scenario data to propagate the collapsed situation. IoT-based downtown construction site, including always-on safety management system, including;

Next, a preferred embodiment of the IoT-based downtown construction site always safety management system according to the present invention will be described in detail with reference to the drawings.

First, an embodiment of the IoT-based downtown construction site always safety management system according to the present invention, as shown in Figure 1 and 2, IoT sensor unit 10, OSV monitoring unit 20, safety management server unit ( 30) is made.

The IoT sensor module 10 and the safety management server unit 30 constitutes an IoT communication module 40 to be connected to each other wireless communication.

As illustrated in FIGS. 1 and 2, the IoT communication module 40 connects a wireless communication network between the IoT sensor unit 10 and the safety management server unit 30 to transmit and receive data and signals. That is, the IoT communication module 40 receives the detection signal and the measurement data transmitted from the IoT sensor unit 10 and transmits it to the safety management server unit 30.

The IoT communication module 40 uses a low-power wide-area network (LPWAN), which is a low power wide area wireless communication technology.

The IoT communication module 40 applies the LPWA dedicated network type and the cellular IoT dedicated network type.

The IoT communication module 40 receives data transmitted from the IoT sensor unit 10 by low power RF communication, and transmits the data to the safety management server unit 30 using LTE communication.

The IoT sensor unit 10 performs a function of performing a constant measurement so as to secure quantitative data related to the collapse progress in the downtown construction site and its surroundings.

The IoT sensor unit 10 is installed on the structures in the downtown construction site and neighboring adjacent structures and measures the collapse abnormality information of the structure.

The IoT sensor unit 10 is configured to include a variety of sensors that require measurement in the applied structure so that various measurement information related to the deformation of the structure can be confirmed. That is, the IoT sensor unit 10 is applied to the inclination sensor, strain sensor, hydraulic pressure gauge and water level sensor, earth pressure gauge, load cell, crack gauge, GNSS (global navigation satelite system), fiber Bragg grating (FBG) sensor To configure.

For example, as shown in FIG. 3, a plurality of inclination sensors and strain sensors are installed in the underground structure as the IoT sensor unit, and the horizontal displacement amount and the position, direction, and size of the structure are measured by the inclination sensor, and the stress state of each point of the structure is measured. In addition, each member of the structure and the stress change is measured by the strain sensor to identify the abnormal deformation of the structure.

As illustrated in FIG. 1, the IoT sensor unit 10 is configured by dividing the field measurement sensor unit 11 and the adjacent measurement sensor unit 13 in a downtown area.

The field measurement sensor unit 11 is installed to measure the state of the structure in the construction site, it is configured by applying at least one or more of the inclination sensor and strain sensor, hydraulic pressure gauge and water level sensor, earth pressure gauge, load cell.

The adjacent measurement sensor 13 is installed corresponding to the adjacent structure established in the periphery of the construction site.

The adjacent measurement sensor unit 13 is configured by applying at least one of an inclination sensor, a strain sensor, a crack gauge, a global navigation satelite system (GNSS), and a fiber bragg grating (FBG) sensor.

In the above, GNSS is a satellite navigation technology that calculates the position, altitude value, and velocity of a moving object around the earth by using radio waves transmitted to satellites orbiting the orbit. In particular, the adjacent measurement sensor 13 according to the present invention can quickly perform high-accuracy observation in a few seconds in real time relative position observation method as the data received from the base station for the error correction of the GNSS as carrier received data. RTK-GPS, a real-time mobile positioning technique, is applied.

In the above, the fiber optic lattice sensor is exposed to the outside of the adjacent structures and is affected by the environment, and it is applied to the surrounding ground and structures that need long-term measurement, and it is possible to measure the structures that need safety evaluation as main structures such as multi-use facilities. Apply so that you can.

The optical fiber grating sensor is a sensor using an optical fiber grating device manufactured by using a phenomenon in which the refractive index increases by exposing the optical fiber core portion containing germanium (Ge) to strong ultraviolet rays, and has various physical quantities (displacement, tilt, acceleration, strain) Changes can be detected with great precision, enabling structural health monitoring.

The OSV monitoring unit 20 plays a role of promoting a safety visualization function so that workers and residents can recognize a dangerous situation of a structure collapse in response to a structure in a downtown construction site and neighboring adjacent structures.

The OSV monitoring unit 20 displays potential risks according to the measurement data result value of the IoT sensor unit 10, and displays the hazards of the collapse of the structure by color recognition.

The OSV monitoring unit 20 displays the risk according to the collapse of the structure according to the threshold setting step by step. That is, since the OSV monitoring unit 20 displays the risk, that is, the safety state by blue, orange, and red, it is possible to efficiently monitor the safety situation.

In the OSV monitoring unit 20, it is preferable to establish a more diverse service infrastructure by connecting a situation propagation speaker, an LED signboard, an LED warning light, a mobile alarm, or a web-based disclosure.

As shown in FIG. 1, the OSV monitoring unit 20 includes an on-site OSV monitoring unit 21 installed to prepare for an immediate safety accident in a construction site and safety based on the entire data in consideration of a plurality of collapse factors. The server OSV monitoring unit 23 that feeds back with the evaluation algorithm is configured.

The field-type OSV monitoring unit 21 is installed on the wall of the structure, and configured to be equipped with an LED module so that anyone can easily identify the potential risk of the construction site.

The server-type OSV monitoring unit 23 is programmed to be displayed on a PC or a mobile device by the safety management server unit 30.

The server-type OSV monitoring unit 23 is configured to notify a warning message to a PC or a mobile device by a speaker or a push message.

The OSV monitoring unit 20 receives the communication signal from the IoT sensor unit 10 and drives to display the risk level by the absolute reference evaluation.

The OSV monitoring unit 21 of the OSV monitoring unit 20 is driven by receiving a communication signal directly from the IoT sensor unit 10, the server-type OSV monitoring unit of the OSV monitoring unit 20 ( 23) receives and drives a communication signal from the safety management server unit 30.

The safety management server unit 30 provides the measurement data of the IoT sensor unit 10 and the result value for the structural stability evaluation, but analyzes the measurement data of the IoT sensor unit 10 and the result value for the structural stability evaluation. Build scenario data to propagate the collapse.

The safety management server unit 30 is provided with a safety impact factor analysis data to build a result value for the structural safety evaluation in the form of a database.

The safety influence factor analysis data of the safety management server unit 30 investigates the processes leading to the collapse such as the cause of the collapse, the type of collapse, the pattern, the type of the collapsed structure, and the structural type damage situation through the collapse case, the collapse accident Classify the types of decay accidents from the case studies, draw out commonly observed risk factors, analyze the decay mechanisms, and construct safety impact factor analysis data by evaluating safety through numerical analysis that takes into account various decay influence factors.

In the above, the safety influence factor analysis data of the safety management server unit 30 is classified by category, and the weight value is determined according to the frequency distribution of the database used for the grade calculation in the database for each factor.

As shown in FIG. 4, the safety management server unit 30 forms a BIM generation unit 35 configured to integrate three-dimensional modeling of building information of adjacent buildings based on the construction site.

The BIM generation unit 35 easily generates building information integrated modeling information, that is, building information modeling (BIM) information of adjacent buildings using public data and the center information, and collapses by putting residential information and building structure information in the corresponding building property. Predict the damage scale when a situation occurs and visually express the building in the source of impact when the ground subsidence occurs

In addition, the BIM generation unit 35 is configured to express the installation position and the graph of the IoT sensor unit 10 based on the three-dimensional BIM model, it is to express clearly the vertical position information of the IoT sensor unit 10 It is possible.

The safety management server unit 30 provides open information by providing the measurement data of the IoT sensor unit 10 and the result value of the structure stability evaluation to the public institutions and related organizations in the form of an application program interface (API).

The safety management server unit 30 designs a scenario for evacuation of the site and surrounding residents in consideration of the collapse scenario, that is, the structure collapse type analysis.

The safety management server unit 30 derives a safety management service scenario for downtown construction sites for public institutions and related organizations. That is, the safety management server unit 30 facilitates the investigation and analysis by the data linkage method of the domestic public institutions and related organizations, and derives a scenario for the urban safety management data service.

As shown in FIG. 5, the safety management server unit 30 constructs a safety accident prevention information sharing platform to open the response plan according to the collapse scenario as public data through a web browser or a mobile app. That is, the safety management server unit 30 monitors the risks in the construction site and the risks of the surrounding structures in one integrated platform in consideration of various situations (structure crack increase, structure change, etc.) and at the same time, managers and workers, Providing citizens with safety management services that can automatically disseminate risk information through a network to prevent disasters and minimize casualties.

The safety management server unit 30 derives the civic participation type safety management service scenario. In other words, the safety management server unit 30 to design an open integrated system that can facilitate the domestic and international citizen participation safety management service research and analysis through a web browser or mobile app, the citizens freely participate in the construction site safety management It is possible to derive a scenario for the service.

That is, according to the IoT-based downtown construction site safety management system according to the present invention configured as described above, by establishing a safety management network for construction sites and surrounding facilities in the downtown area to predict the collapse situation with the analysis data according to the real-time measurement data At the same time, it realizes immediate situation propagation environment in case of danger, and it secures the safety management system of facilities with low cost and high efficiency structure that can detect and respond to immediate disaster occurrence from real-time control, greatly reducing social management cost, and preventive efficiency and It is possible to greatly increase the management efficiency.

In addition, the present invention grasps risk information on the progress of building collapse in real time before the disaster, and greatly reduces the frequency of disasters, thereby reducing the size of the disaster and establishing a real-time collapse detection system that can protect people's lives and property. Therefore, it is possible to improve the safety management of construction sites and multi-use facilities, to respond to scientific disasters and to reduce the damage, and to apply IT technology to safety management field more effectively and to apply it to various safety management fields.

In the above, a preferred embodiment of the IoT-based downtown construction site safety management system according to the present invention has been described, but the present invention is not limited thereto, and various modifications are made within the scope of the claims and the specification of the invention and the accompanying drawings. Can be carried out, and this also belongs to the scope of the present invention.

10: IoT sensor unit 11: field measurement sensor unit
13: adjacent measuring sensor 20: OSV monitoring
21: field-type OSV monitoring unit 23: server-type OSV monitoring unit
30: safety management server 35: BIM generation
40: IoT communication module

Claims (6)

An IoT sensor unit installed on the structures in the downtown construction site and adjacent structures and measuring breakdown failure information of the structure; It is installed in correspondence with the structures in the downtown construction site and neighboring structures, and displays potential risks according to the measured data result of the IoT sensor unit, and receives the communication signal of the IoT sensor unit and displays the risk by the absolute reference evaluation. An OSV monitoring unit for displaying the risk level step by step so that the residents can recognize the danger situation of the collapse of the structure; The safety management server unit provides a result value for the measurement data and the structural stability evaluation of the IoT sensor unit but analyzes the measurement data and the result value for the structural stability evaluation to build scenario data to propagate the collapsed situation. Including;
It includes an IoT communication module for transmitting and receiving data and signals by connecting to the wireless sensor network between the IoT sensor unit and the safety management server unit,
The IoT sensor unit is installed in the construction site, the inclination sensor and strain sensor, the hydraulic pressure gauge and water level sensor, the earth pressure gauge, the field measurement sensor unit configured by applying at least one or more of the load cell, and installed on the adjacent structure, but the inclination sensor and It includes an adjacent measurement sensor unit configured by applying at least one or more of the strain sensor, crack gauge, GNSS (global navigation satelite system), optical fiber grating (FBG) sensor,
The OSV monitoring unit includes an on-site OSV monitoring unit installed to prepare for an immediate safety accident in a construction site, and a server type OSV monitoring unit which feeds back to the safety evaluation algorithm based on the entire data in consideration of a plurality of collapse factors.
The safety management server unit investigates the processes leading to the collapse through collapse cases, classifies the types of collapse accidents from the collapse case studies, derives commonly observed risk factors, analyzes the collapse mechanisms, and affects the collapse factors. Construct safety impact factor analysis data that constructs the result of safety evaluation through the numerical analysis considering
The safety influence factor analysis data of the safety management server is classified by category, and the weight value is determined according to the frequency distribution of the database used for the grade calculation in the database for each factor.
The safety management server unit includes a BIM generation unit configured to three-dimensional modeling by integrating the building information of the adjacent building on the basis of the building site,
The safety management server unit provides the measurement data of the IoT sensor unit and the result value of the structure stability evaluation to public institutions and related organizations in the form of an API (application program interface), and investigates and analyzes them in a data connection method of public and related organizations. Based on the analysis, we derive scenarios for data management for downtown safety management at all times, and build safety accident prevention information sharing platform to open the countermeasures for collapse scenarios to public data through web browsers or mobile apps. Management system.
delete delete delete delete delete

Images