KR200434811Y1 - Forecasting solution to the industrial accident basing on ubiquitous telecommunications system - Google Patents

Forecasting solution to the industrial accident basing on ubiquitous telecommunications system Download PDF

Info

Publication number
KR200434811Y1
KR200434811Y1 KR2020060011178U KR20060011178U KR200434811Y1 KR 200434811 Y1 KR200434811 Y1 KR 200434811Y1 KR 2020060011178 U KR2020060011178 U KR 2020060011178U KR 20060011178 U KR20060011178 U KR 20060011178U KR 200434811 Y1 KR200434811 Y1 KR 200434811Y1
Authority
KR
South Korea
Prior art keywords
industrial
risk
accidents
accident
industrial accidents
Prior art date
Application number
KR2020060011178U
Other languages
Korean (ko)
Inventor
최요한
Original Assignee
최요한
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 최요한 filed Critical 최요한
Priority to KR2020060011178U priority Critical patent/KR200434811Y1/en
Application granted granted Critical
Publication of KR200434811Y1 publication Critical patent/KR200434811Y1/en

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Game Theory and Decision Science (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Emergency Management (AREA)
  • Entrepreneurship & Innovation (AREA)

Abstract

본 고안은 산업현장과 건설현장에서 작업자의 위치별로 설치된 기후조건 측정센서를 통해 유비쿼터스 통신시스템 이용하여 측정된 값을 중앙연선처리장치 서버에 송신한 후 측정값을 알고리즘을 이용하여 분석한 후 예측 값을 산업현장 또는 건설현장의 근로자에게 실시간으로 제공하는 유비쿼터스 기반의 산업재해 예측솔루션에 관한 것이다.The present invention transmits the measured value using the ubiquitous communication system to the central twisted pair processing system server through the climatic condition measuring sensor installed by the worker's location in the industrial and construction sites, and then analyzes the measured value using the algorithm and then predicts the value. It is a ubiquitous based industrial disaster prediction solution that provides workers to workers in industrial or construction sites in real time.

이러한 유비쿼터스 기반의 산업재해 예측솔루션은 산업현장과 건설현장에서 빈번하게 발생되는 산업재해 예방을 위해 산업재해 발생과 직접적으로 연관되는 여러 가지 변수들 중에서 기후조건 즉, 온도, 습도, 풍속, 강우량 등의 조건들을 측정 센서를 이용하여 현장에서 실시간으로 측정한 후, 유비쿼터스 통신 시스템을 이용하여 측정된 데이터 값을 유,무선 접속표준을 통해 중앙연산처리장치 서버에 송신한 후 송신된 데이터들의 값을 기준으로 현재 측정된 기후조건 및 과거의 산업재해 데이터를 분석한 알고리즘을 이용하여 현재 상황에서 발생 가능한 산업재해의 유형 및 산업재해 발생 위험도를 예측하여 예측한 결과를 중앙연산처리장치 서버에서 산업현장과 건설현장에 설치된 LCD디스플레이 장치 및 지정된 작업자의 무선 이동통신 장치에 SMS 동보전송시스템으로 수신, 산업현장 및 작업장 내에 설치된 확성기를 통해 산업재해 발생 위험도가 매우 높을 경우 음성으로 산업재해 발생 위험을 예측하여 통보함으로 써 실시간 예측 가능한 산업재해 발생 유형, 위험도를 작업자에게 인식시켜 근로자의 산업재해 예방에 기여함을 주목적으로 한다.This ubiquitous based industrial disaster prediction solution is used to prevent industrial accidents that occur frequently in industrial and construction sites, among other variables directly related to industrial accidents, such as climatic conditions such as temperature, humidity, wind speed and rainfall. After measuring the conditions in real time using a measuring sensor, the data values measured using the ubiquitous communication system are transmitted to the central processing unit server through the wired / wireless connection standard and then based on the values of the transmitted data. Using the algorithm that analyzes the current measured climatic conditions and past industrial accident data, the types of industrial accidents and the risk of industrial accidents that can occur in the current situation are predicted, and the results of the industrial and construction sites are collected from the central processing unit server. On the LCD display device and the wireless mobile device of the designated operator S If the risk of industrial accident is very high through the loudspeaker installed in the reception, industrial sites and workplaces, the operator predicts the type and risk of industrial accidents that can be predicted in real time by predicting and notifying the risk of industrial accidents by voice. Its main purpose is to contribute to the prevention of workers' industrial accidents.

본 고안에 의하면, 산업현장과 건설현장에서 작업장소와 위치에 따라 실시간으로 변화하는 기후조건 등을 유비쿼터스 통신 시스템을 이용하여 측정, 분석한 후 결과 값을 작업자에게 통보함으로 산업재해 예방에 기여 할 수 있다.According to the present invention, it is possible to contribute to the prevention of industrial accidents by measuring and analyzing the climatic conditions that change in real time according to the work place and location in industrial sites and construction sites using the ubiquitous communication system, and notifying workers of the result values. have.

유비쿼터스, 산업재해 예측솔루션, 측정센서 모듈부, 접속표준, LCD 디스플레이 장치, SMS 동보전송시스템 Ubiquitous, industrial accident prediction solution, measurement sensor module, connection standard, LCD display device, SMS broadcast transmission system

Description

유비쿼터스 통신시스템을 기반으로 한 산업재해 예측솔루션{FORECASTING SOLUTION TO THE INDUSTRIAL ACCIDENT BASING ON UBIQUITOUS TELECOMMUNICATIONS SYSTEM}Industrial disaster prediction solution based on ubiquitous communication system {FORECASTING SOLUTION TO THE INDUSTRIAL ACCIDENT BASING ON UBIQUITOUS TELECOMMUNICATIONS SYSTEM}

도 1. 은 본 고안이 구현되는 솔루션 환경의 개략도.1 is a schematic diagram of a solution environment in which the present invention is implemented.

본 고안은 산업현장과 건설현장에서 빈번하게 발생되고 있는 산업재해 예방을 위해 산업재해 발생과 연관성이 매우 높은 기후조건을 작업 장소별로 측정하여 즉, 온도, 습도, 풍속, 강우량 등의 조건들을 측정 센서를 이용하여 현장에서 실시간으로 측정하여 측정된 결과 값과 기존의 발생되었던 산업재해 데이터를 알고리즘을 통해 분석한 값을 실시간으로 현장의 작업자에게 통보함으로 써 발생 가능한 산업재해 유형 및 위험도를 예측하여 통보하고자 한다.In order to prevent industrial accidents that are frequently occurring in industrial and construction sites, the present invention measures climatic conditions that are highly related to industrial accidents by work site, that is, sensors such as temperature, humidity, wind speed, and rainfall. In order to predict and predict possible industrial accident types and risks by notifying the workers in the field in real time of the measured values measured in real time at the site using the algorithm and the values of the existing industrial accident data that have been analyzed through algorithms. do.

예를 들어 넓은 범위의 작업현장에서는 장소에 따라 풍속, 습도, 강우량 등이 다를 것이며 이런 측정값을 기반으로 강풍이 발생할 경우 고소작업에서의 추락, 습도가 높을 경우 전기 작업의 경우 감전, 운반 작업의 경우 전도 사고 등이 발생할 확률이 높다.For example, in a wide range of workplaces, wind speed, humidity, and rainfall will vary from place to place. Based on these measurements, strong winds may cause fall in aerial work, and high humidity may result in electric shock and transportation work. In this case, the likelihood of a fall accident is high.

현재 통신기술의 발달로 유·무선 이동 통신장치를 통해 언제 어디서나 다양한 종류의 정보를 실시간으로 네트워크에 접속하여 데이터를 송·수신하여 제어가 가능한 유비쿼터스 통신시스템이 대두 되고 있다.With the development of communication technology, ubiquitous communication systems are emerging that can control various types of information by accessing the network in real time through wired / wireless mobile communication devices.

이러한 유비쿼터스 통신시스템을 이용하여 갑작스러운 기후변화, 작업장소별의 기후조건 차이 등을 실시간으로 감지하여 예측되는 산업재해의 유형을 실시간으로 작업자에 통보한다면 산업재해가 발생될 수 있는 위험도가 얼마이며, 어떤 유형의 산업재해가 발생 가능한지를 통보함으로써 작업자는 사전에 산업재해 예방을 위한 조치를 취함으로 산업재해를 예방할 수 있다.If such a ubiquitous communication system is used to detect sudden climate change and differences in climatic conditions by workplace in real time and notify workers of the types of industrial accidents expected in real time, what is the risk of industrial accidents? By notifying what types of industrial accidents can occur, workers can prevent industrial accidents by taking precautions to prevent them.

또한 산업재해의 예방은 산업재해 발생으로 인해 발생되는 인적·물적 손실을 감소시킬 수 있다.In addition, the prevention of industrial accidents can reduce the human and material losses caused by industrial accidents.

현재까지는 산업재해를 예방을 위해서는 근로자 안전교육실시, 위험 표지판 설치, 안전수칙 게시 등 일반적인 관리차원을 벗어나지 못하고 있는 실정이다. 이러한 방법들은 현실성이 떨어질 뿐만 아니라 작업자에게 제공되는 정보 또한 일괄적이고, 통상적이어서 산업재해 예방을 위한 경각심을 불러일으키기에는 미흡한 점이 많다.Up to now, in order to prevent industrial accidents, it has not escaped the general management such as providing worker safety education, installing danger signs and posting safety rules. Not only are these methods less practical, the information provided to workers is also collective, and in general, insufficient to raise awareness for industrial accident prevention.

또한 작업자들은 작업시 막연하게 산업재해 예방을 위해 주의를 기울일 뿐, 현재 작업조건에 따른 구체적인 재해발생 예측 유형 및 발생 위험도에 대해서는 인식하지 못하고 간과할 뿐이었다.In addition, workers only pay attention to the prevention of industrial accidents at work, and they did not recognize the specific types of disaster occurrence predictions and the risks of them according to the current working conditions.

그러나 고도의 산업화와 정보, 통신 기술의 발달로 산업재해 예방을 위하여 기존의 형식적이고 통상적인 안전관리에서 벗어나 발달된 정보, 통신 기술을 활용 한 객관적이고 현실성 있는 정보를 제공할 수 있는 산업재해 예측솔루션의 개발이 요구되어 진다.However, industrial accident prediction solution that can provide objective and realistic information using developed information and communication technology to prevent industrial accidents due to advanced industrialization and development of information and communication technology. Development is required.

상기의 문제점을 해결하면서 요구 사항에 부응하기 위하여 본 고안은 작업현장에서 행하는 다양한 작업 공정, 작업 장소, 작업 위치에 기후조건(온도, 습도, 풍속, 강우량 등)을 실시간으로 측정하여 접속표준을 기반으로 측정된 데이터 값을 중앙연산처리장치 서버에 송신하면 이를 서버에 저장된 알고리즘을 통해 데이터에 대한 결과 값을 출력한 후, 이를 다시 지정된 LCD 디스플레이장치와 사전에 입력된 작업자의 이동 통신 장치에 무선으로 SMS 동보 전송시스템을 송신함으로써 작업장소와 위치별로 실시간 예측 가능한 산업재해 발생 형태와 산업재해 발생 위험도를 통지함으로 작업자에게 현실적이고 객관적인 데이터를 통해 산업재해의 발생을 예방함과 동시에 산업재해의 발생률을 감소시킴으로 인적·물적 손실을 예방함에 그 목적이 있다.In order to meet the requirements while solving the above problems, the present invention measures the weather conditions (temperature, humidity, wind speed, rainfall, etc.) at various work processes, work places, and work locations in the work site based on connection standards. Is to send the data value to the central processing unit server, and output the result value for the data through the algorithm stored in the server, and then wirelessly to the designated LCD display device and the operator's mobile communication device. By sending SMS broadcasting transmission system, it informs workers of real-time predictable types of industrial accidents and the risks of industrial accidents by work place and location, and prevents industrial accidents through realistic and objective data, while reducing the incidence of industrial accidents. The purpose is to prevent human and material loss.

이하, 본 고안의 바람직한 실시 예를 첨부된 도면을 참조하여 상세하게 설명하면 다음과 같다.Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

도면 1은 본 고안의 실시 예에 따른 유비쿼터스 통신시스템을 기반으로 한 산업재해 예측솔루션을 보인 블록 구성도이다.1 is a block diagram showing an industrial disaster prediction solution based on a ubiquitous communication system according to an embodiment of the present invention.

이에 도시된 바와 같이 온도, 습도, 풍속, 강우량, 조도 등의 데이터를 감지하는 기후조건 측정 센서부(100) ; 상기 기후조건 측정 센서부(100)로부터 기후조 건을 측정한 데이터를 유·무선망의 접속표준(110)을 이용하여 제공받아 기후조건(140)에 따른 산업재해 발생 유형 예측 및 기존 산재발생 데이터(150)를 알고리즘으로 분석하여 산업재해 발생 유형 및 산업재해 발생 위험도를 예측하는 중앙연산 처리장치부(130) ; 상기 중앙연산 처리장치부(130)에서 도출된 분석 결과를 다시 유·무선 접속표준을 이용하여 산업재해 발생 예측 유형 및 산업재해 발생 위험도를 사전에 지정된 무선 이동 통신장치에 SMS 동보전송시스템으로 통보 및 산업 및 작업현장 내에 설치된 LCD 전광판에 출력하고 음성으로 안내방송을 실시하는 출력부(160)를 포함하여 구성된다.Climate condition measurement sensor unit 100 for sensing data such as temperature, humidity, wind speed, rainfall, illuminance, as shown therein; The climate condition measurement sensor unit 100 receives data measuring climate conditions using the wired / wireless network connection standard 110 and predicts the type of industrial accidents according to the climatic conditions 140 and existing industrial accident data ( A central processing unit 130 for predicting an industrial accident occurrence type and an industrial accident occurrence risk by analyzing 150 with an algorithm; The result of the analysis derived from the central processing unit 130 is notified to the SMS broadcast transmission system to a predetermined wireless mobile communication device of an industrial accident occurrence prediction type and an industrial accident occurrence risk using a wired / wireless connection standard. And an output unit 160 which outputs to the LCD display board installed in the workplace and performs guide broadcasting by voice.

이와 같이 구성된 본 고안의 실시예에 따른 작용을 설명하기로 한다.The operation according to the embodiment of the present invention configured as described above will be described.

먼저, 본 고안에 따른 기후조건측정 센서부(100)를 산업현장 및 작업현장의 작업공정별로 산업재해 발생 위험이 예상되는 위치 및 작업자의 작업위치에 이동식, 고정식으로 각각 설치하며, 이와 아울러 상기 기후조건측정 센서부(100)에서 감지된 기후조건 측정 데이터는 유·무선망의 접속표준을 통해 중앙연산 처리장치부(130)로 주기적으로 전송된다.First, the climatic condition measurement sensor unit 100 according to the present invention is installed in a mobile and stationary positions, respectively, at a location where an industrial hazard is expected to occur and a worker's work location for each work process of an industrial site and a work site. The climate condition measurement data detected by the condition measurement sensor unit 100 is periodically transmitted to the central processing unit 130 through the connection standard of the wired and wireless network.

상기전송과정은 RFID/CDMA/블루투스 등의 접속표준에 의해 전송이 이루어진다.The transmission process is performed by a connection standard such as RFID / CDMA / Bluetooth.

또한 상기 기후조건측정 센서부(100)에서 주기적으로 전송되는 데이터는 중앙연산 처리장치부(130)에서 수신하여 기후조건측정 센서부(100)에서 송신된 실시간의 기후조건 측정 데이터 및 기존에 발생된 산업재해 발생 데이터를 알고리즘을 통해 분석하여 현재 산업현장 및 작업현장에서 발생될 수 있는 산업재해의 유형 및 산업재해 발생 위험도를 도출한다.In addition, the data periodically transmitted from the climate condition sensor unit 100 is received by the central processing unit 130 and the real-time climate condition measurement data transmitted from the climate condition sensor unit 100 and the existing industry Disaster occurrence data are analyzed through algorithms to derive the types of industrial accidents and the risk of industrial accidents that can occur at current industrial sites and workplaces.

상기와 같이 중앙연산 처리장치부(130)에서 도출된 산업재해의 유형 및 산업재해 발생 위험도는 다시 접속표준을 이용하여 출력부(160)에 송·수신된다.As described above, the type of industrial accident and the risk of occurrence of industrial accident derived from the central processing unit 130 are transmitted and received to the output unit 160 using the connection standard.

상기 출력부(160)는 3가지의 유형으로 분류가 되는데 먼저 중앙연산 처리장치부(130)에 입력된 생산, 작업현장의 근로자의 무선 이동 장치에 접속표준을 이용하여 중앙연산 처리장치부(130)에서 도출된 산업재해의 유형 및 산업재해 발생 위험도를 SMS 동보전송장치를 이용하여 문자메시지로 전송된다.The output unit 160 is classified into three types. First, the central processing unit 130 uses the connection standard to the wireless mobile device of the production and work site workers inputted to the central processing unit 130. The type of industrial accidents and the risks of industrial accidents are transmitted by SMS message transmission system.

또한 산업, 작업현장에 설치된 대형 LCD전광판에 도출된 산업재해의 유형 및 산업재해 발생 위험도를 출력하여 실시간으로 통보한다.In addition, the type of industrial accidents and the risk of industrial accidents derived on large LCD display panels installed in industrial and workplaces are printed and notified in real time.

마지막으로 위의 결과를 산업현장 및 작업장 내에 설치된 확성기를 통해 산업재해 발생 위험도가 매우 높을 경우 음성으로 산업재해 발생 위험을 예측하여 통보한다.Lastly, if the risk of industrial accident is very high through loudspeakers installed in industrial sites and workplaces, the forecast is notified by voice.

상기 출력부(160)에서 실시간으로 통보하는 방식은 기후조건측정 센서부(100)에서 감지된 실시간의 기후조건 측정 데이터를 중앙연산 처리장치부(130)에서 분석하여 '현재 강우량 ○mm' 이에 따른 '전도발생 위험 ○%', '추락발생 위험 ○%', 재해발생 위험도 '매우 높음'과 같이 정량적, 정성적으로 산업재해에 대한 정보를 출력하여 통보한다.The method of notifying the output unit 160 in real time is to analyze the real-time climatic condition measurement data detected by the climate condition measurement sensor unit 100 in the central processing unit 130 and the 'current rainfall ○ mm' according to ' Information on industrial accidents should be output quantitatively and qualitatively, such as fall hazard ○%, fall hazard ○%, and disaster risk 'very high'.

이상에서 상세하게 설명한 바와 같이, 본 고안에 따르면 기존의 산업재해 예방을 위해 행하고 있는 안전수칙, 안전포스터, 안전표지판 등의 게시를 통한 산업 재해 예방활동의 한계성을 초월하여, 넓은 산업현장, 작업현장에서 장소, 위치에 따라 차이를 발생하는 기후조건을 실시간으로 측정하여 이에 따른 산업재해의 발생 유형 및 위험도를 사전에 예측하여 작업자에게 실시간으로 통보함으로 산업재해 예방을 통한 인적·물적 손실을 예방할 수 있는 효과가 있다.As described in detail above, the present invention transcends the limitations of industrial disaster prevention activities by posting safety rules, safety posters, safety signs, etc., which are currently being used to prevent industrial accidents. It can prevent human and material loss through industrial accident prevention by measuring in real time the weather conditions that cause differences in places and locations, and predicting the types and risks of industrial accidents in advance in real time. It works.

또한 산업, 작업 현장에 설치된 대형 LCD전광판에 출력되는 실시간 정보를 통해 작업관리자가 현재 발생 될 수 있는 산업재해 유형 및 위험도를 예측할 수 있음으로 사전에 예방 조치를 취할 수 있으며, 이동 통신 장치를 통해 작업자에게 전송된 실시간 정보를 통해 현장의 작업자 또한 생산, 작업현장에서 사전에 산업재해 발생에 대한 예방조치 및 작업의 진행여부를 결정할 수 있는 효과가 있다.In addition, real-time information output on large LCD display boards installed at industrial and work sites enables the work manager to predict the types and risks of industrial accidents that can occur at present, and can be prevented in advance. The real-time information transmitted to the workers has the effect of determining the preventive actions and work progress of industrial accidents in advance in the production and workplace.

Claims (4)

산업재해 발생 위험이 높은 장소에 설치된 온도, 습도, 강우량, 풍속, 조도 감지 센서들로 구성되어 실시간으로 기후조건을 측정하여 측정 값을 무선접속표준을 통해 기후조건측정D/B(140)로 전송할 수 있는 장치인 기후조건측정 센서부(100),It is composed of temperature, humidity, rainfall, wind speed, and illumination sensor installed in the place where the risk of industrial accident is high and transmits the measured value to climate condition measurement D / B 140 through wireless connection standard. Climate condition measurement sensor unit 100 that can be, 기후조건측정 센서부(100)에서 전송된 측정 값을 저장하고 있는 기후조건측정D/B(140)와 기존에 발생한 산업재해 데이터를 저장하고 기존산재발생D/B(150)로 부터의 데이터를 비교하여 재해발생의 위험여부를 분석, 처리 할 수 있는 알고리즘을 기반으로 구성된 소프트웨어를 통해 산업재해의 발생 위험도에 대한 예측 값을 도출하는 중앙 연산 처리 장치부(130)로 구성되어지는 서버부(120),Climate condition measurement D / B (140) storing the measured values transmitted from the climate measurement sensor unit 100 and the existing industrial accident data is stored and the data from the existing accident occurrence D / B (150) Server unit 120 that is composed of a central processing unit 130 for deriving the predicted value of the risk of industrial accidents through software that is based on the algorithm that can analyze and handle the risk of disaster occurrence by comparison ), 서버부(120)에서 도출된 산업재해 발생 유형 및 산업재해 발생 위험도를 개인별 무선이동장치에 SMS 동보전송시스템으로 전송, 또는 무선접속표준에 의해 표시되는 대형 LCD등의 전광판, 음성으로 통보할 수 있는 확성기로 구성되는 출력부(160),The industrial accident occurrence type and the risk of industrial accidents derived from the server unit 120 can be transmitted to an individual wireless mobile device by an SMS broadcast transmission system, or can be notified by an electronic board or a voice such as a large LCD displayed by a wireless access standard. An output unit 160 composed of a loudspeaker, 이와 같은 구조들로 구성 되어지는 산업재해 예측 장치;Industrial accident prediction device composed of such structures; 제 1항에 있어서,The method of claim 1, 기후조건측정 센서부(100)는 온도, 습도, 풍속, 조도, 강우량 등을 측정할 수 있는 기후조건측정 센서를 산업현장 및 작업현장의 산업재해 발생 위험이 높은 장소에 설치하여 실시간으로 측정된 기후조건의 값들(온도, 습도, 강우량, 풍속, 조도)을 설치된 무선접속표준모듈(110)을 통해 측정된 값을 기후조건측정 D/B(140)로 전송하는 기능을 수행하는 것을 특징으로 하는 산업재해 예측 장치;Climate condition measurement sensor unit 100 is a climate condition measurement sensor that can measure temperature, humidity, wind speed, illuminance, rainfall, etc. installed in places where the risk of industrial accidents in industrial sites and work sites are high, the climate measured in real time Industry, characterized in that for performing the function of transmitting the values of the conditions (temperature, humidity, rainfall, wind speed, illuminance) to the climate condition measurement D / B (140) through the wireless access standard module 110 installed Disaster prediction apparatus; 제 1항에 있어서,The method of claim 1, 서버부(130)는 기후조건 측정 결과 값을 저장하여 기후조건측정 D/B(140)와 기존에 발생한 산업재해 발생 결과를 저장하고 있는 기존산재발생D/B(150)로부터의 데이터를 알고리즘을 통해 비교, 분석하여 처리할 수 있는 소프트웨어를 통해 도출된 값들을 현재의 조건이나 환경에서 발생될 수 있는 산업재해의 유형들 및 산업재해 발생 위험도를 '%' 및 '매우 높음, 매우 낮음' 과 같은 정량적, 정성적으로 예측할 수 있는 중앙 연산 처리 장치부(120)로 구성되는 것을 특징으로 하는 산업재해 예측 장치;The server unit 130 stores the result value of the climate condition measurement algorithm using the data from the climate accident measurement D / B (140) and the existing industrial accident occurrence D / B (150) that stores the existing industrial accident occurrence results Values obtained through software that can be compared, analyzed and processed can be used to determine the types of industrial accidents and the risk of industrial accidents that can occur under current conditions or environments, such as '%' and 'very high, very low'. An industrial disaster prediction device, comprising: a central processing unit 120 capable of quantitatively and qualitatively predicting; 제 1항에 있어서,The method of claim 1, 출력부(160)는 예측 결과를 산업현장 및 작업현장의 산업재해 발생 위험이 높은 장소에서 작업하는 근로자에게 지정된 무선이동장치를 이용하여 SMS 동보전송시스템으로 통지, 현장에 설치된 대형 LCD등의 전광판에 출력하여 시각적으로 게시, 또한 산업현장 및 작업장 내에 설치된 확성기를 통해 산업재해 발생 위험도가 매우 높을 경우 음성으로 산업재해 발생 위험을 통보하는 기능을 수행하는 것을 특징으로 하는 산업재해 예측 장치;The output unit 160 notifies the result of the prediction to the SMS broadcast transmission system using a designated wireless mobile device for workers who work at high risks of industrial accidents at industrial sites and workplaces. An industrial accident prediction device, which outputs and visually posts, and notifies, by voice, an industrial accident occurrence risk when the risk of industrial accident occurrence is very high through a loudspeaker installed in an industrial site and a workplace;
KR2020060011178U 2006-04-24 2006-04-24 Forecasting solution to the industrial accident basing on ubiquitous telecommunications system KR200434811Y1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR2020060011178U KR200434811Y1 (en) 2006-04-24 2006-04-24 Forecasting solution to the industrial accident basing on ubiquitous telecommunications system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR2020060011178U KR200434811Y1 (en) 2006-04-24 2006-04-24 Forecasting solution to the industrial accident basing on ubiquitous telecommunications system

Publications (1)

Publication Number Publication Date
KR200434811Y1 true KR200434811Y1 (en) 2006-12-28

Family

ID=41783125

Family Applications (1)

Application Number Title Priority Date Filing Date
KR2020060011178U KR200434811Y1 (en) 2006-04-24 2006-04-24 Forecasting solution to the industrial accident basing on ubiquitous telecommunications system

Country Status (1)

Country Link
KR (1) KR200434811Y1 (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100957552B1 (en) 2007-12-28 2010-05-12 울산광역시 Method for estimating industrial disaster in the manufacturing industry
KR101025550B1 (en) * 2010-04-28 2011-04-13 (주)위니텍 System maniging disaster and method thereof
WO2012060523A1 (en) * 2010-11-03 2012-05-10 인제대학교산학협력단 Method and device for predicting disaster probability
KR101236402B1 (en) 2011-09-07 2013-02-28 한국항공대학교산학협력단 Operating system of infra stand-alone variable message sign and method thereof
KR101916411B1 (en) * 2017-10-30 2019-01-30 한림대학교 산학협력단 Industrial iot based accident prediction system and method for construction site safety
KR20190040847A (en) * 2017-10-11 2019-04-19 양경옥 Method and Apparatus for Safety Information Generation by Reading Daily Job-site Work Reports in Construction and Industrial Project
KR20210075366A (en) * 2019-12-13 2021-06-23 한국건설기술연구원 the construction safety risk prediction system based process and the method for as the same

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100957552B1 (en) 2007-12-28 2010-05-12 울산광역시 Method for estimating industrial disaster in the manufacturing industry
KR101025550B1 (en) * 2010-04-28 2011-04-13 (주)위니텍 System maniging disaster and method thereof
WO2012060523A1 (en) * 2010-11-03 2012-05-10 인제대학교산학협력단 Method and device for predicting disaster probability
KR101236402B1 (en) 2011-09-07 2013-02-28 한국항공대학교산학협력단 Operating system of infra stand-alone variable message sign and method thereof
KR20190040847A (en) * 2017-10-11 2019-04-19 양경옥 Method and Apparatus for Safety Information Generation by Reading Daily Job-site Work Reports in Construction and Industrial Project
KR102306184B1 (en) 2017-10-11 2021-09-28 양경옥 Method and Apparatus for Safety Information Generation by Reading Daily Job-site Work Reports in Construction and Industrial Project
KR101916411B1 (en) * 2017-10-30 2019-01-30 한림대학교 산학협력단 Industrial iot based accident prediction system and method for construction site safety
KR20210075366A (en) * 2019-12-13 2021-06-23 한국건설기술연구원 the construction safety risk prediction system based process and the method for as the same
KR102335704B1 (en) * 2019-12-13 2021-12-07 한국건설기술연구원 the construction safety risk prediction system based process and the method for as the same

Similar Documents

Publication Publication Date Title
KR200434811Y1 (en) Forecasting solution to the industrial accident basing on ubiquitous telecommunications system
US9619986B2 (en) Intelligent integrated safety management control system, server, and method
Isaac et al. A statistical model for dynamic safety risk control on construction sites
RU2605258C2 (en) System and method of providing information on compliance and prevention exposure to toxic gas
CN110035389B (en) Safe production management system based on positioning
CN112000156B (en) Power-off method, device and system of intelligent household appliance and computer readable storage medium
KR20180090933A (en) Intelligent gas leakage alarm system and method thereof
KR102361552B1 (en) Smart Safety Platform System
KR20160080164A (en) ystem And Method For Hazardous Chemicals Release Detection And Response
KR101631980B1 (en) Safety management system for eadiation exposure based on Internet of Things
WO2021085738A1 (en) Integrated monitoring system for real-time odor tracking
KR101709157B1 (en) System and method for managing firefighting facilities
KR20170088552A (en) Fire Detection And Monitoring Method Using context-aware Network
CN113701802B (en) Abnormality monitoring method and abnormality monitoring system for pipeline system
KR101385714B1 (en) System and method for controlling location and environment information integrated
CN118261429B (en) Engineering management method and system for construction safety
KR102240397B1 (en) System to track odor in real time using portable odor measuring device
KR20240007408A (en) System for preventing human error of substation and method thereof
KR101600594B1 (en) First response system for hazardous materials incident
CN115909645B (en) Workshop production safety early warning system and early warning method
CN107422670B (en) Intelligent fire extinguisher test control method and equipment
CN113643508B (en) Disaster prevention emergency channel monitoring method, system, equipment and storage medium
KR20200082450A (en) Systems for detecting fire in the market
CN115587709A (en) Enterprise safety production management method, system and storage medium
TWI736865B (en) Monitoring method and system for positioning device

Legal Events

Date Code Title Description
REGI Registration of establishment
FPAY Annual fee payment

Payment date: 20100216

Year of fee payment: 4

LAPS Lapse due to unpaid annual fee