KR20170067319A - Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same - Google Patents

Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same Download PDF

Info

Publication number
KR20170067319A
KR20170067319A KR1020150173850A KR20150173850A KR20170067319A KR 20170067319 A KR20170067319 A KR 20170067319A KR 1020150173850 A KR1020150173850 A KR 1020150173850A KR 20150173850 A KR20150173850 A KR 20150173850A KR 20170067319 A KR20170067319 A KR 20170067319A
Authority
KR
South Korea
Prior art keywords
data
sensor
abnormal behavior
time
synchronized
Prior art date
Application number
KR1020150173850A
Other languages
Korean (ko)
Other versions
KR101754158B1 (en
Inventor
김태헌
박기태
김희주
김지영
Original Assignee
한국건설기술연구원
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 한국건설기술연구원 filed Critical 한국건설기술연구원
Priority to KR1020150173850A priority Critical patent/KR101754158B1/en
Publication of KR20170067319A publication Critical patent/KR20170067319A/en
Application granted granted Critical
Publication of KR101754158B1 publication Critical patent/KR101754158B1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G06F13/14—Handling requests for interconnection or transfer
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G06F13/38—Information transfer, e.g. on bus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Landscapes

  • Theoretical Computer Science (AREA)
  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Alarm Systems (AREA)

Abstract

The measurement accuracy can be increased by synchronizing the viewpoints between the sensors with a higher frequency than the predetermined measurement frequency to be measured and more accurate information can be analyzed by securing the processed data before and after the occurrence of the impact event rather than the cycle of each sensor, Accordingly, it is possible to improve the speed of response to a crisis, to store sensor-specific sensor data at the time of occurrence of an abnormal behavior at a facility, to reduce analysis time by dispersing sensor data, An intelligent facility safety monitoring system capable of acquiring time-synchronized sensor data capable of roughly grasping a range (area, absence) and reducing the occurrence of a false alarm of an intelligent facility safety monitoring system, and Method is provided.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an intelligent facility safety monitoring system capable of acquiring synchronized sensor data,

The present invention relates to an intelligent facility safety monitoring system, and more particularly, to an intelligent facility safety surveillance system in which, when safety monitoring is performed by acquiring data from a plurality of sensors installed in a facility, And an intelligent facility safety monitoring system capable of acquiring the synchronized sensor data and a method thereof.

Large structures and facilities constructed in the process of developing into an industrial society are subject to structural damage due to defects in the design and construction process or due to various factors which were not considered at the time of designing, Its safety is being threatened. For example, in the case of structures with severe structural damage, frequent shortening of the service life is caused to a degree that is far less than the planned design life at the time of design.

 Accordingly, there is an urgent need for efforts to secure long-term safety and operability of building structures. In particular, large structures such as buildings, bridges, and dams are continuously exposed to various operating loads, shocks from external objects, earthquakes, wind loads, wave loads, and corrosion. Therefore, Has become a pending issue of interest. In order to accurately diagnose these large structures, it is required to monitor structural behavior through proper experimental measurement, to mechanically analyze structure damage, and to diagnose the structure damage through analysis technology.

FIG. 1 is a view for schematically explaining a facility safety monitoring system according to the related art, FIG. 2 is a diagram illustrating measurement frequency and data processing cycle for each sensor attached to the facility shown in FIG. 1, 3 is a specific configuration diagram of the facility safety monitoring system shown in FIG.

Referring to FIG. 1, a facility safety monitoring system 10 according to the related art includes a plurality of sensor nodes 30 installed in a facility 20 such as a bridge, a dam, a high-rise building, a military security facility, And evaluates the abnormal behavior of the facility by combining and analyzing the time domain and the frequency domain from the high frequency vibration response signals of the plurality of sensor nodes 30. For example, in the facility safety monitoring system 10 according to the related art, when the facility 20 is a high-rise building, the high-frequency vibration response signal is collected from a plurality of sensor nodes 30 installed in the high- The abnormal behavior of the movable member 20 is evaluated.

Recently, various kinds of sensors are attached to each member and the physical quantity is measured to maintain the safety of such a structure. Each sensor has a different measurement period depending on the physical quantity and type to be measured. For example, as shown in FIG. 2, different measurement periods are provided according to the measurement frequency and the data processing cycle for each measurement sensor set by the facility safety industry special school management system.

3, the facility safety monitoring system 10 according to the related art includes a data acquisition unit 11, an abnormal behavior determination unit 12, a data storage unit 13, and a data transfer unit 14 And acquires data from the sensor node 30 including the first to Nth sensors 31, 32, and 33 installed in the facility 20 to perform the facility safety monitoring.

At this time, in order to evaluate the safety, the data measured by various kinds of sensors (31, 32, 33) are comprehensively processed. In case of disaster such as earthquake, heavy rain, typhoon, There is a need to quickly identify how much direct influence it has on the facility 20. [

Korean Patent Publication No. 2014-29364 (published on Mar. 10, 2014), entitled "System and Method for Synchronizing Sensor Data" Korean Patent Publication No. 2012-80369 (published on July 17, 2012), entitled "Interface Method Using Ring Buffer" Korean Patent No. 10-695074 filed on Jan. 9, 2006, entitled "Time Synchronization Method in Wireless Sensor Network" Korean Patent No. 10-687209 filed on November 26, 2004, entitled "Wireless Measurement System for Facility Measurement with Modular Sensor Input" Korean Patent No. 10-699510 filed on Aug. 31, 2005, entitled "Accurate Time Synchronization Protocol for Wireless Sensor Networks" Korean Laid-open Patent No. 2015-87467 (published on July 30, 2015), entitled "Real-time remote safety management system for advanced steel structures using the Internet" Japanese Unexamined Patent Publication No. 2011-123756 (Publication date: June 23, 2011), entitled "Safety control device and its safety control program" Japanese Unexamined Patent Publication No. 2010-127932 (published on June 10, 2010), entitled "Monitoring System with Dynamically Configurable Non-Interfering Signal Processing"

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems and it is an object of the present invention to provide an apparatus and a method for acquiring sensor data synchronized with a point of view that can increase measurement accuracy by synchronizing a point- The present invention relates to an intelligent facility safety monitoring system and method therefor.

Another technical problem to be solved by the present invention is to acquire processed data before and after occurrence of an impact event rather than a cycle of each sensor, thereby enabling more accurate information to be analyzed. The present invention provides an intelligent facility safety monitoring system capable of acquiring sensor data synchronized with a point of view, and a method thereof.

According to an aspect of the present invention, there is provided an intelligent facility safety surveillance system capable of acquiring synchronized sensor data according to the present invention, comprising: The first to Nth sensors generate respective safety evaluation data by judging abnormal behavior of the facility, and when the first to Nth sensors detect abnormal behavior, A sensor node for performing a point-in-time synchronization as an impact event; And generating safety evaluation data for the entire sensor node by judging abnormal behavior according to the safety evaluation data of each of the first to Nth sensors, and when it is determined that abnormal behavior has occurred in any one of the first to Nth sensors And an intelligent facility safety monitoring module that sets a sensor that detects abnormal behavior as an abnormal behavior detection sensor and determines a time synchronization standard based on the abnormal behavior detection time as an impact event, A measuring unit installed at a predetermined position of the facility and measuring the facility for each predetermined measurement cycle; An abnormal behavior determining unit for determining an abnormal behavior of the facility according to the sensor data measured by the measuring unit and generating safety evaluation data; A point-in-time synchronization performing unit that performs point-in-time synchronization according to a point-in-time synchronization criterion determined by the intelligent facility safety monitoring module as an impact event when the abnormal behavior of the facility is detected; And a data temporary storage unit for temporarily storing the sensor data and the safety evaluation data measured by the measuring unit at the time of detecting the abnormal behavior.

Here, the data temporary storage unit of each of the first to Nth sensors may store the sensor data at a frequency twice or more as compared with the conventional measurement frequency.

Here, the data temporary storage unit of each of the first to Nth sensors may be a circular buffer in which old data is deleted, new data is stored, and data is continuously recorded.

Here, the data stored in the circular buffer can be used for real-time inspection (event type disaster).

Here, the intelligent facility safety monitoring module may include a data obtaining unit for collecting safety evaluation data and aging judgment data of each of the first to Nth sensors of the sensor node; Wherein the abnormality determination unit determines the abnormality of the entire sensor node based on each of the safety evaluation data collected by the data acquisition unit to generate the overall safety evaluation data, and when it is determined that abnormal behavior has occurred in any one of the first to Nth sensors A sensor node abnormality determination unit for setting a sensor that detects abnormal behavior as an abnormal behavior detection sensor and determining the obsolescence according to the observer determination data collected by the data acquisition unit; And the first to Nth sensors are determined as proximity sensors based on the abnormal behavior detection sensors according to the installation positions of the first to Nth sensors, A point-in-time synchronization criterion determining unit that identifies the point-in-time synchronization criterion; And a data storage unit for permanently storing each of the safety evaluation data collected by the data acquisition unit and the entire safety evaluation data generated by the sensor node abnormal behavior determination unit.

The intelligent facility safety monitoring module collects the sensor data and the safety evaluation data stored in the data temporary storage unit of each of the first to Nth sensors and the safety evaluation data of the entire sensor node stored in the data storage unit, And a data transmission unit for transmitting the data to the mobile station.

Here, the sensor node abnormal behavior determination unit may determine the abnormal behavior of the entire sensor node according to the safety evaluation data before and after the occurrence of the shock event of each of the first to Nth sensors, thereby securing the entire safety evaluation data.

Here, the sensor node abnormal behavior determiner may evaluate the stability of the data synchronized in the order of the abnormal behavior detection sensor, the proximity proximity sensor, and the spacing sensor according to the abnormal behavior detection time.

Here, the data storage unit may be a storage unit for permanently storing data stored in the data temporary storage unit, and the data stored in the storage unit may be used for an aging test.

According to another aspect of the present invention, there is provided an intelligent facility safety monitoring method for acquiring sensor data synchronized with a time point according to the present invention, comprising the steps of: a) Measuring each of the measurement sections for each predetermined measurement period; b) determining abnormal behavior of each of the first to Nth sensors based on the measured sensor data; c) if the sensor node abnormality determination unit of the intelligent facility safety monitoring module determines that the abnormality has occurred in any one of the first to Nth sensors, setting the sensor that detects the abnormal behavior as an abnormal behavior detection sensor ; d) determining a point-in-time synchronization reference based on a point-in-time synchronization determination unit of the intelligent facility safety monitoring module as an impact event, and performing point-in-time synchronization with respect to each of the first to Nth sensors; e) dividing the abnormal behavior detecting sensor into a proximity sensor and a spacing sensor based on installation positions of the first to Nth sensors; f) temporarily storing sensor data sensed by the abnormal behavior detecting sensor, the proximity sensor, and the spacing sensor at the time of detecting the abnormal behavior in the data temporary storage unit of each of the first to Nth sensors; g) performing a safety evaluation of sensor data sensed by the proximity sensor at the sensor node abnormal behavior determining unit at the abnormal behavior sensing time; h) determining whether the sensor node abnormality determination unit has detected abnormal behavior in the proximity sensor; i) performing a safety evaluation of the sensor data sensed by the spacing sensor at the time of detecting the abnormal behavior when it is determined that the proximity sensor detects an abnormal behavior; And j) determining whether the sensor node abnormal behavior determination unit has detected abnormal behavior in the spacing sensor.

The intelligent facility safety monitoring method capable of acquiring the synchronized sensor data according to the present invention comprises collecting the safety evaluation data and transmitting it to the administrator terminal.

According to the present invention, more precise information can be analyzed by securing the processed data before and after the occurrence of the impact event rather than the cycle of each sensor, thereby improving the crisis response speed.

According to the present invention, the measurement accuracy can be improved by synchronizing the viewpoints between the sensors with a higher frequency than the predetermined measurement frequency to be measured.

According to the present invention, it is possible to preserve sensor-specific sensor data at the time of occurrence of an abnormal behavior in a facility, and analyze time can be reduced by dispersing sensor data.

According to the present invention, it is possible to roughly grasp the dangerous range (area, member) of the facility and reduce the occurrence of false alarms of the intelligent facility safety monitoring system.

FIG. 1 is a view for schematically explaining a facility safety monitoring system according to the prior art.
FIG. 2 is a diagram illustrating measurement frequency and data processing cycle for each sensor attached to the facility shown in FIG. 1. FIG.
3 is a specific configuration diagram of the facility safety monitoring system shown in FIG.
4 is a view schematically showing an intelligent facility safety surveillance system capable of acquiring synchronized sensor data according to an embodiment of the present invention.
5 is a block diagram of an intelligent facility safety monitoring system capable of acquiring sensor data synchronized with a time according to an embodiment of the present invention.
6 is a diagram illustrating an installation state of a sensor in an intelligent facility safety monitoring method capable of acquiring synchronized sensor data according to an embodiment of the present invention.
7 is a flowchart illustrating an operation of an intelligent facility safety monitoring method capable of acquiring synchronized sensor data according to an embodiment of the present invention.
FIG. 8 is a flowchart illustrating an operation of an intelligent facility safety monitoring method capable of acquiring synchronized sensor data according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the term "part" or the like, as described in the specification, means a unit for processing at least one function or operation, and may be implemented by hardware, software, or a combination of hardware and software.

[Intelligent facility safety monitoring system that can acquire sensor data synchronized with time]

4 is a view schematically showing an intelligent facility safety surveillance system capable of acquiring synchronized sensor data according to an embodiment of the present invention,

4, an intelligent facility safety monitoring system capable of acquiring time-synchronized sensor data according to an embodiment of the present invention includes a facility 200 such as a bridge, a dam, a high-rise building, a military security facility, A sensor node 300 including a plurality of sensors 310, 320, and 330 is installed in the sensor node 300 and a time domain and a frequency domain are combined and analyzed from the high frequency vibration response signal of the sensor node 300, The controller 100 collects the sensor data synchronized at the time point of each impact event from the sensor node 300 and performs an abnormal behavior evaluation of the facility 200. [

For example, in an intelligent facility safety surveillance system capable of acquiring sensor data synchronized in time according to an embodiment of the present invention, a plurality of Frequency response signal from the sensor node 300 and evaluates the abnormal behavior of the facility 20.

In this case, the intelligent facility safety monitoring system capable of acquiring the sensor data synchronized with the viewpoint according to the embodiment of the present invention can acquire data by synchronizing the viewpoint of the information dissipated at the time of detecting the abnormal behavior, which is an impact event, At this time, more precise information can be analyzed by securing the data before and after the occurrence of the impact event rather than the cycle of each sensor.

FIG. 5 is a block diagram of an intelligent facility safety surveillance system capable of acquiring synchronized sensor data according to an embodiment of the present invention. FIG. 6 is a view illustrating a sensor data synchronized with a time point according to an embodiment of the present invention. FIG. 5 is a diagram illustrating an installation state of a sensor in an intelligent facility safety monitoring method that can be obtained.

5, an intelligent facility safety surveillance system capable of acquiring sensor data synchronized with a time according to an embodiment of the present invention includes a sensor node 300 and a built-in facility safety monitoring module 100 .

The sensor node 300 includes first to Nth sensors 310 to 330 installed in respective members of the facility 200 to measure sensor data for each predetermined measurement period, 310 to 330 respectively generate the respective safety evaluation data by judging the abnormal behavior of the facility 200. The first to Nth sensors 310 to 330 detect the abnormality behavior as an impact event, Respectively.

 The intelligent facility safety monitoring module 100 determines the abnormal behavior according to the safety evaluation data of each of the first to Nth sensors 310 to 330 to generate safety evaluation data of the entire sensor node, When it is determined that an abnormal behavior has occurred in any one of the sensors 310 to 330, a sensor that detects an abnormal behavior is set as the abnormal behavior detection sensor 310, .

Each of the first to Nth sensors 310 to 330 includes a measuring unit 311, an abnormal behavior determining unit 312, a viewpoint synchronization performing unit 313, and a data temporary storage unit 314.

The measurement unit 311 is installed at a predetermined position of the facility 200 and measures the facility 200 according to a predetermined measurement cycle.

The abnormal behavior determination unit 312 determines the abnormal behavior of the facility 200 according to the sensor data measured by the measurement unit 311 and generates safety evaluation data.

The viewpoint synchronization executing unit 313 performs a viewpoint synchronization according to a viewpoint synchronization reference determined by the intelligent facility safety monitoring module 100 as an impact event of the abnormal behavior detection time of the facility 200. [

The data temporary storage unit 314 temporarily stores the sensor data and the safety evaluation data measured by the measuring unit 311 at the time of detecting the abnormal behavior. Here, it is preferable that the data temporary storage unit 314 stores the sensor data at a frequency twice or more than the existing measurement frequency. Further, the data temporary storage unit 314 stores old data and deletes old data The circular buffer may be a circular buffer for continuously recording data, but the data stored in the circular buffer may be used for real-time inspection (event-type disaster).

5, the intelligent facility safety monitoring module 100 includes a data acquisition unit 110, a sensor node abnormal behavior determination unit 120, a viewpoint synchronization reference determination unit 130, a data storage unit 140 and a data transfer unit 150.

The data obtaining unit 110 collects the safety evaluation data and the aging judgment data of the first to Nth sensors 310 to 330 of the sensor node 300, respectively.

The sensor node abnormality determination unit 120 determines the abnormal behavior of the entire sensor node 300 according to each of the safety evaluation data collected by the data acquisition unit 110 to generate overall safety evaluation data, 1 to N-th sensors 310 to 330, the sensor detecting the abnormal behavior is set as the abnormal behavior detecting sensor 310. The data obtaining unit 110 collects the abnormal behavior, The aging is judged according to the aging judgment data. For example, as shown in FIG. 6, the first sensor that senses the abnormal behavior may be the abnormal behavior detection sensor 310, and the second and third The sensor is set to the proximity arrangement sensor 320 and the fourth to the fourteenth sensors at the positions spaced apart from the abnormal behavior detection sensor 310 are set to the spacing sensor 330 to perform the viewpoint synchronization . Accordingly, the sensor node abnormality determination unit 120 determines the abnormality of the sensor data before and after the occurrence of the shock event to acquire the safety evaluation data.

At this time, the sensor node abnormal behavior determiner 120 determines the abnormal behavior of the entire sensor node according to the safety evaluation data before and after the occurrence of the shock event of each of the first to Nth sensors 310 to 330, Evaluation data can be obtained. The sensor node abnormality determination unit 120 determines whether or not the abnormal behavior detection sensor 310, the proximity proximity sensor 320, and the spacing sensor 330 are in order, The stability can be evaluated. At this time, the sensor node abnormality determination unit 120 evaluates the safety of sensor data of the proximity sensor 320 and the spacing sensor 330 as shown in FIG.

The time synchronization reference determination unit 130 determines a time synchronization reference based on the abnormal behavior detection time as an impact event and determines the time synchronization reference based on the abnormal behavior detection sensor The first to Nth sensors 310 to 330 are classified into a proximity sensor 320 and a spacing sensor 330 based on the sensor 310.

The data storage unit 140 permanently stores each of the safety evaluation data collected by the data acquisition unit 110 and the entire safety evaluation data generated by the sensor node abnormal behavior determination unit 120. Here, the data storage unit 140 may be a storage unit that permanently stores data stored in the data temporary storage unit 314, and the data stored in the storage unit may be used for the purpose of coping with the aging test.

The data transferring unit 150 transfers the sensor data and the safety evaluation data stored in the data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 and the sensor node data stored in the data storage unit 140 And transmits the safety evaluation data to the administrator terminal 400. [ For example, the data transfer unit 150 collects the sensor data stored in the data temporary storage unit 314, the safety evaluation data, and the safety evaluation data stored in the data storage unit 140, and transmits the safety evaluation data to the administrator terminal 400 Lt; / RTI >

Finally, as shown in FIG. 5, the intelligent facility safety diagnosis system according to the embodiment of the present invention performs overall point-of-view synchronization according to the abnormal behavior detection timing, and can perform measurement in all the sensors in the same time zone. At this time, the sensor data synchronized with the viewpoint is temporarily stored in the circular buffer, and the data stored in the circular buffer 314 is permanently stored in the storage 140. That is, the data used in the real-time inspection can be separately recorded in the storage 140 and used when the administrator needs it.

FIG. 7 is a diagram illustrating that a data temporary storage unit is formed as a circular buffer in an intelligent facility safety monitoring system capable of acquiring synchronized sensor data according to an embodiment of the present invention.

Referring to FIG. 7, in the intelligent facility safety monitoring system capable of acquiring sensor data synchronized in time according to the embodiment of the present invention, the data temporary storage unit 314 may be formed of a circular buffer And continuously records data in the circular buffer to delete old data and store new data.

Specifically, the circular buffer is a circular buffer, and as shown in FIG. 7, a 'first register' as a first register for storing data and an 'M register' as a last register for storing data Refers to structures connected to each other. Of course, the fact that the first register and the M register of the circular buffer 140 are connected to each other refers to conceptual logic and is not physically implemented as a ring and interconnected.

The intelligent facility safety monitoring system capable of acquiring the sensor data synchronized with the viewpoint according to the embodiment of the present invention can acquire data by synchronizing the viewpoint of the information dissipated at the time of detecting the abnormal behavior which is an impact event, More precise information can be analyzed by securing the data before and after the occurrence of the impact event rather than the cycle of each sensor.

In addition, as described above, the measurement accuracy can be increased by synchronizing the viewpoints between the sensors with a higher frequency than the predetermined measurement frequency to be measured.

In addition, it is possible to reduce the analysis time by dispersing the sensor data when abnormality occurs in the facility 200, and to perpetuate the sensor-specific sensed data at that point in time.

The intelligent facility safety surveillance system capable of acquiring the sensor data synchronized with the viewpoint according to the embodiment of the present invention may further include an abnormality detection sensor 310, a proximity sensor 320, It is possible to roughly grasp the dangerous range (area, absence) of the facility 200 by securing the synchronized sensor data according to the abnormal behavior detection point and to reduce the occurrence of false alarm.

[Intelligent Facility Safety Monitoring Method to Obtain Synchronized Sensor Data]

FIG. 8 is a flowchart illustrating an operation of an intelligent facility safety monitoring method capable of acquiring synchronized sensor data according to an embodiment of the present invention.

Referring to FIG. 8, an intelligent facility safety monitoring method capable of acquiring sensor data synchronized with a point-in-time according to an embodiment of the present invention includes first to Nth sensor nodes 300 of a sensor node 300 installed in a facility 200, The measurement unit 311 of each of the sensors 310 to 330 measures each predetermined measurement period (S110).

Next, the abnormal behavior determiner 312 of each of the first to Nth sensors 310 to 330 determines the abnormal behavior of the facility 200 according to the measured sensor data (S120).

Next, when it is determined that abnormal behavior has occurred in any one of the first to Nth sensors 310 to 330, the sensor node abnormality determination unit 120 of the intelligent facility safety monitoring module 100 determines that the abnormal behavior Is set as the abnormal behavior detection sensor 310 (S130).

Next, the viewpoint synchronization reference determining unit 130 of the intelligent facility safety monitoring module 100 determines a viewpoint synchronization reference based on the abnormal behavior detection time as an impact event, and the first to Nth sensors 310 to 330 (S140). ≪ / RTI > For example, as shown in FIG. 6, the first sensor that senses the abnormal behavior is the abnormal behavior detection sensor 310, and performs the point-in-time synchronization with the abnormal behavior detection point as an impact event. Accordingly, the sensor node abnormality determination unit 120 can determine the abnormal behavior of the sensor data before and after the occurrence of the impact event, and obtain the safety evaluation data.

Next, the proximity arrangement sensor 320 and the spacing arrangement sensor 330 are classified based on the abnormal behavior detection sensor 310 according to installation positions of the first to Nth sensors 310 to 330 (S150 ). For example, as shown in FIG. 6, the proximity arrangement sensor 320 may be used as the second and third sensors adjacent to the abnormal behavior detection sensor 310, And the fourth to the fourteenth sensors are classified as the spacing sensor 330. [ Accordingly, the sensor node abnormality determination unit 120 of the intelligent facility safety monitoring module 100 determines whether or not the abnormal behavior detection sensor 310, the proximity placement sensor 320, The reliability of the data synchronized in the order of the data 330 is evaluated.

Next, the sensor data sensed by the abnormal behavior detecting sensor 310, the proximity sensor 320, and the spacing sensor 330 are detected by the first to Nth sensors 310 to 330 at the time of detecting the abnormal behavior, And temporarily stores them in the respective data temporary storage units 314 (S160). That is, the sensor data sensed by the second and third sensors and the sensor data sensed by the fourth through fourteenth sensors are stored in the circular buffer 314. Here, the data temporary storage unit 314 stores the sensor data at a frequency twice or more than the existing measurement frequency, the old data in the data temporary storage unit 314 is deleted, new data is stored, The data stored in the data temporary storage unit 314 may be permanently stored in the data storage unit 140 and the data storage unit 140 may be a storage unit. Accordingly, the data stored in the circular buffer 314 is used for real-time inspection (event type disaster), and the data stored in the storage 140 can be used for the purpose of coping with the aging test.

Next, the sensor node abnormality determination unit 120 performs a safety evaluation of the sensor data sensed by the proximity sensor 320 at the time of detecting the abnormal behavior (S170).

Next, the sensor node abnormality determination unit 120 determines whether the proximity sensor 320 detects abnormal behavior (S180).

Next, when it is determined that the proximity sensor 320 detects an abnormal behavior, the safety evaluation of the sensor data sensed by the sensor 330 is performed at the sensing time of the abnormal behavior (S190). That is, the fourth to fourteenth sensors shown in FIG. 6 perform safety evaluation on the data sensed at the time of abnormal behavior detection.

Next, it is determined whether the sensor node abnormal behavior determination unit 120 detects an abnormal behavior in the spacing sensor 330 (S200). That is, the sensor node abnormality determination unit 120 determines whether or not the abnormal behavior detection sensor 310, the proximity proximity sensor 320, and the spacing sensor 330 are in order, The stability is evaluated.

Subsequently, the safety evaluation data may be finally collected and transmitted to the administrator terminal 400 (S210).

As a result, according to the embodiment of the present invention, the measurement accuracy can be increased by synchronizing the viewpoints between the sensors with a higher frequency than the predetermined measurement frequency to be measured, and the processed data before and after the occurrence of the impact event Thus, it is possible to analyze more accurate information, thereby improving the crisis response speed.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Intelligent Facility Safety Monitoring Department
110: Data acquisition unit
120: sensor node abnormality determination unit
130:
140: Data storage (storage)
150: Data transfer unit
200: Facility
300: sensor node
310: first sensor (abnormality detection sensor)
320: second sensor (proximity sensor)
330: Nth sensor (spacing sensor)
311:
312: abnormality determination unit
313:
314: Data temporary storage unit (circular buffer)
400: administrator terminal

Claims (18)

And first to Nth sensors (310 to 330) installed in respective members of the facility (200) for measuring sensor data for each predetermined measurement cycle, wherein the first to Nth sensors (310 to 330) The sensor nodes 310 to 330 respectively generate the safety evaluation data by judging the abnormal behavior of the facility 200 and perform the point-of-view synchronization with the first to Nth sensors 310 to 330 as the impact events, (300); And
The abnormality determination unit 310 determines the abnormal behavior according to the safety evaluation data of each of the first to Nth sensors 310 to 330 to generate safety evaluation data for the entire sensor node. An intelligent facility safety monitoring module for setting a sensor that detects an abnormal behavior as an abnormal behavior detection sensor 310 and determining a time synchronization standard based on the abnormal behavior detection time as an impact event when it is determined that an abnormal behavior has occurred in the sensor 100)
Wherein each of the first to Nth sensors (310 to 330)
A measurement unit 311 installed at a predetermined position of the facility 200 to measure the facility 200 according to a predetermined measurement cycle;
An abnormal behavior determination unit (312) for determining abnormal behavior of the facility (200) according to the sensor data measured by the measurement unit (311) and generating safety evaluation data;
A point-in-time synchronization performing unit (313) that performs point-in-time synchronization according to a point-in-time synchronization criterion determined by the intelligent facility safety monitoring module (100) as an impact event when detecting abnormal behavior of the facility (200); And
A data temporary storage unit 314 for temporarily storing the sensor data and the safety evaluation data measured by the measuring unit 311 at the time of abnormal behavior detection,
Wherein the sensor data acquisition unit can acquire synchronized sensor data at a time point including a time point at which the sensor data is synchronized. The method according to claim 1,
The data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 stores the sensor data at a frequency twice or more than the existing measurement frequency. Intelligent facility safety surveillance system. 3. The method of claim 2,
The data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 is a circular buffer in which old data is deleted and new data is stored and data is continuously recorded. Intelligent facility safety monitoring system that can acquire synchronized sensor data. The method of claim 3,
Wherein the data stored in the circular buffer is used for real-time inspection (event-type disaster) countermeasure. The system according to claim 1, wherein the intelligent facility safety monitoring module (100)
A data obtaining unit 110 for collecting safety evaluation data and aging judgment data of the first to Nth sensors 310 to 330 of the sensor node 300;
And generates the overall safety evaluation data by judging the abnormal behavior of the entire sensor node 300 according to the respective safety evaluation data collected by the data obtaining unit 110. The first to Nth sensors 310 to 330 When it is determined that an abnormal behavior has occurred in any one of the sensors, the sensor that detects the abnormal behavior is set as the abnormal behavior detection sensor 310, and the observer is determined to be out of order according to the data for obsolescence determination collected by the data acquisition unit 110 A sensor node abnormality determination unit 120;
And determines the time synchronization reference based on the abnormal behavior detection time as an impact event and determines the time synchronization reference based on the abnormal behavior detection sensor 310 based on the installation position of each of the first to Nth sensors 310 to 330, A time synchronization reference determination unit 130 that divides the Nth sensors 310 to 330 into a proximity arrangement sensor 320 and a spacing sensor 330; And
A data storage unit 140 for permanently storing each of the safety evaluation data collected by the data acquisition unit 110 and the entire safety evaluation data generated by the sensor node abnormal behavior determination unit 120,
Wherein the sensor data acquisition unit can acquire synchronized sensor data at a time point including a time point at which the sensor data is synchronized. 6. The method of claim 5,
The intelligent facility safety monitoring module 100 may include sensor data and safety evaluation data stored in the data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 and the sensor data and safety evaluation data stored in the data storage unit 140 The intelligent facility safety monitoring system capable of acquiring sensor data synchronized in time, which further includes a data transfer unit (150) for collecting safety evaluation data of the entire sensor node and transmitting it to the administrator terminal (400). 6. The method of claim 5,
The sensor node abnormality determination unit 120 determines the abnormal behavior of the entire sensor node according to the safety evaluation data before and after the occurrence of the impact event of each of the first to Nth sensors 310 to 330, Wherein the sensor data is synchronized with the viewpoint. 6. The method of claim 5,
The sensor node abnormality determination unit 120 determines stability of the data synchronized in the order of the abnormality behavior detection sensor 310, the proximity placement sensor 320, and the separation placement sensor 330 according to the abnormal behavior detection time. Wherein the sensor data can be obtained by synchronizing the viewpoint with the viewpoint. 6. The method of claim 5,
Wherein the data storage unit (140) is a storage unit that permanently stores data stored in the data temporary storage unit (314), and is capable of acquiring sensor data synchronized with the viewpoint. 10. The method of claim 9,
And the data stored in the storage is used for the purpose of coping with aging inspection. a) measuring each of the first to Nth sensors (310 to 330) of the sensor node (300) installed in the facility (200) by the measurement unit (311) for each predetermined measurement period;
b) determining abnormal behavior of each of the first to Nth sensors (310 to 330) based on the measured sensor data;
c) If it is determined that abnormal behavior has occurred in any one of the first to Nth sensors 310 to 330, the sensor node abnormality determination unit 120 of the intelligent facility safety monitoring module 100 determines the abnormal behavior Setting the sensed sensor to the abnormal behavior detection sensor 310;
d) The viewpoint synchronization reference determining unit 130 of the intelligent facility safety monitoring module 100 determines a viewpoint synchronization reference based on the abnormal behavior detection time as an impact event, and the first to Nth sensors 310 to 330, Performing point-in-time synchronization for each;
e) dividing the abnormal behavior detecting sensor 310 into a proximity sensor 320 and a spacing sensor 330 according to installation positions of the first to Nth sensors 310 to 330;
f) detecting the sensor data sensed by the abnormal behavior detecting sensor 310, the proximity sensor 320, and the spacing sensor 330 at the time of detecting the abnormal behavior from the first to Nth sensors 310 to 330 Temporarily storing the data in the data temporary storage unit 314;
g) performing a safety evaluation of the sensor data detected by the proximity sensor (320) at the sensor node abnormality determination unit (120) at the time of detecting the abnormal behavior;
h) determining whether the sensor node abnormal behavior determination unit (120) detects abnormal behavior in the proximity sensor (320);
i) performing safety evaluation of the sensor data sensed by the spacing sensor 330 at the time of detecting the abnormal behavior when it is determined that the proximity sensor 320 senses an abnormal behavior; And
j) judging whether the sensor node abnormality determination unit 120 has detected abnormal behavior in the spacing sensor 330
Wherein the sensor data acquisition unit acquires sensor data synchronized with a point of time including the sensor data. 12. The method of claim 11,
k) collecting the safety evaluation data and transferring the collected safety evaluation data to the administrator terminal (400), and acquiring the synchronized sensor data. 12. The method of claim 11,
The sensor node abnormality determination unit 120 determines stability of the data synchronized in the order of the abnormality behavior detection sensor 310, the proximity placement sensor 320, and the separation placement sensor 330 according to the abnormal behavior detection time. Wherein the step of acquiring the synchronized sensor data comprises the steps of: 12. The method of claim 11,
The data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 of the f) stores the sensor data at a frequency twice or more than the conventional measurement frequency. An intelligent facility safety monitoring method capable of acquiring data. 15. The method of claim 14,
The data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 in the step f) is a circular buffer in which old data is deleted and new data is stored and data is continuously recorded A method for intelligent facility safety monitoring capable of acquiring synchronized sensor data at a characteristic point of view. 16. The method of claim 15,
Wherein the data stored in the circular buffer is used for real-time inspection (event-type disaster) countermeasure. 15. The method of claim 14,
The data stored in the data temporary storage unit 314 of each of the first to Nth sensors 310 to 330 is permanently stored in the data storage unit 140 of the intelligent facility safety monitoring module 100, (140) is a storage. The intelligent facility safety monitoring method according to claim 1, wherein the sensor data is synchronized with the viewpoint. 18. The method of claim 17,
Wherein the data stored in the storage is used for the purpose of coping with the aging test.
KR1020150173850A 2015-12-08 2015-12-08 Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same KR101754158B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1020150173850A KR101754158B1 (en) 2015-12-08 2015-12-08 Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020150173850A KR101754158B1 (en) 2015-12-08 2015-12-08 Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same

Publications (2)

Publication Number Publication Date
KR20170067319A true KR20170067319A (en) 2017-06-16
KR101754158B1 KR101754158B1 (en) 2017-07-19

Family

ID=59278342

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020150173850A KR101754158B1 (en) 2015-12-08 2015-12-08 Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same

Country Status (1)

Country Link
KR (1) KR101754158B1 (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190053035A (en) * 2017-11-09 2019-05-17 주식회사 투그램시스템즈 A method for defects
CN111985717A (en) * 2020-08-24 2020-11-24 珠海格力电器股份有限公司 Safety early warning method and device, safety early warning equipment and storage medium
KR102188096B1 (en) * 2020-05-06 2020-12-08 주식회사 크리에이티브솔루션 Analasis method for evevt of sensor
KR102188095B1 (en) * 2020-05-06 2020-12-08 주식회사 크리에이티브솔루션 Analasis method for evevt causes of sensor
KR20210047513A (en) * 2019-10-22 2021-04-30 한국도로공사 Evaluation method for occurrence and structural safety of tunnel using sensing explosions and fires
KR20210047514A (en) * 2019-10-22 2021-04-30 한국도로공사 Evaluation method for occurrence and structural safety of tunnel
CN111985717B (en) * 2020-08-24 2024-05-31 珠海格力电器股份有限公司 Safety early warning method and device, safety early warning equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007322217A (en) 2006-05-31 2007-12-13 Yamatake Corp Earthquake observation system
KR101431237B1 (en) * 2014-02-25 2014-08-22 한국건설기술연구원 System for detecting abnormal behavior and evaluating safety of structure, and method for the same

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20190053035A (en) * 2017-11-09 2019-05-17 주식회사 투그램시스템즈 A method for defects
KR20210047513A (en) * 2019-10-22 2021-04-30 한국도로공사 Evaluation method for occurrence and structural safety of tunnel using sensing explosions and fires
KR20210047514A (en) * 2019-10-22 2021-04-30 한국도로공사 Evaluation method for occurrence and structural safety of tunnel
KR102188096B1 (en) * 2020-05-06 2020-12-08 주식회사 크리에이티브솔루션 Analasis method for evevt of sensor
KR102188095B1 (en) * 2020-05-06 2020-12-08 주식회사 크리에이티브솔루션 Analasis method for evevt causes of sensor
CN111985717A (en) * 2020-08-24 2020-11-24 珠海格力电器股份有限公司 Safety early warning method and device, safety early warning equipment and storage medium
CN111985717B (en) * 2020-08-24 2024-05-31 珠海格力电器股份有限公司 Safety early warning method and device, safety early warning equipment and storage medium

Also Published As

Publication number Publication date
KR101754158B1 (en) 2017-07-19

Similar Documents

Publication Publication Date Title
KR101754158B1 (en) Intelligence structure safety monitoring system for collecting timing- synchronized sensor data, and method for the same
US11354998B2 (en) Systems and methods for early warning of seismic events
KR101218175B1 (en) Seismic monitoring system and method of validity verifying for event using the same
TWI449883B (en) Method for analyzing structure safety
JP6136031B2 (en) Piping abnormality detection data logger device, piping structure and piping abnormality detection system
KR102004206B1 (en) The system for safety managing on construction site
WO2019088693A1 (en) System and method for earthquake damage prediction and analysis of structures, and recording medium in which computer readable program for executing same method is recorded
KR101763337B1 (en) Disaster Warning System and Method based on Vibration-type accelerometer and Displacement measurement system
Domaneschi et al. Vibration based damage localization using MEMS on a suspension bridge model
WO2020116032A1 (en) Road monitoring system, road monitoring device, road monitoring method, and non-transitory computer-readable medium
WO2017039195A1 (en) Large-space structure collapse sensing device, structure monitoring device, and method using same
CN102034330A (en) Fire-prevention and invasion-prevention synchronous early warning system and signal processing method thereof
WO2017163954A1 (en) Sensor unit, server, system including sensor unit and server, server control method, and recording medium
Bhuiyan et al. Towards cyber-physical systems design for structural health monitoring: Hurdles and opportunities
KR101646981B1 (en) Data processing system for evaluating safety of structure, and method for the same
KR101754165B1 (en) System for detecting abnormal behavior and evaluating safety of structure for merging non-periodic acceleration data
KR101323940B1 (en) Apparatus and method for Alarm processing of Human Machine Interface
JP7045200B2 (en) Fire detection system
JP6856168B2 (en) Abnormal sound detection device and abnormal sound detection method
JP7145646B2 (en) Building damage determination method and building damage determination system
Sdongos et al. A novel & practical approach to structural health monitoring—The RECONASS vision: Local positioning, sensor networks, secure communications and remote sensing at the service of structural monitoring to assess construction damage and related needs
Lee et al. Damage identification through the comparison with pseudo-baseline data at damaged state
KR20180038138A (en) System and method for evaluating stress of structure to amalgamate acceleration sensor and gyro sensor
JP2015069448A (en) Fire receiver
KR20190101003A (en) Check System and The Control Method of Structure

Legal Events

Date Code Title Description
E701 Decision to grant or registration of patent right