WO2024107036A1 - Système de prévention contre un accident de sécurité de dispositif à l'aide d'une clôture virtuelle et d'une image de squelette - Google Patents

Système de prévention contre un accident de sécurité de dispositif à l'aide d'une clôture virtuelle et d'une image de squelette Download PDF

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Publication number
WO2024107036A1
WO2024107036A1 PCT/KR2023/095065 KR2023095065W WO2024107036A1 WO 2024107036 A1 WO2024107036 A1 WO 2024107036A1 KR 2023095065 W KR2023095065 W KR 2023095065W WO 2024107036 A1 WO2024107036 A1 WO 2024107036A1
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Prior art keywords
virtual
area
skeleton
module
around
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PCT/KR2023/095065
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English (en)
Korean (ko)
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이영규
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주식회사 아이티공간
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Publication of WO2024107036A1 publication Critical patent/WO2024107036A1/fr

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    • 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
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
    • G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/40—Testing power supplies
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00—Manipulating 3D models or images for computer graphics
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/16—Actuation by interference with mechanical vibrations in air or other fluid
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20036—Morphological image processing
    • G06T2207/20044—Skeletonization; Medial axis transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person

Definitions

  • the present invention relates to a safety accident prevention system for devices using virtual fences and skeleton images. More specifically, the logic gate combines various information measured and collected from the power measurement unit, virtual area module, and skeleton module to surround the device. By clearly determining and detecting the level of risk, it is possible to not only effectively protect workers by preventing safety accidents in advance, but also minimize economic losses that may occur due to unnecessary operation of equipment, thereby ensuring the stability of factory equipment. It is about a safety accident prevention system for devices using virtual fences and skeleton images that can guide operation management.
  • devices that perform a set process are placed along a process line in a factory, and some or all of these devices perform the process together with the operator.
  • the present invention was proposed to solve the problems described above.
  • the purpose of the logic gate is to determine the level of risk around the device by combining the information measured and collected from the power measurement unit, virtual area module, and skeleton module, respectively. By clearly judging and detecting, not only can workers be effectively protected by preventing safety accidents in advance, but they can also minimize economic losses that may occur due to unnecessary equipment shutdown, leading to stable operation and management of factory equipment. It provides a safety accident prevention system for devices using virtual fences and skeleton images.
  • the device safety accident prevention system using a virtual fence and skeleton image includes a power measurement unit that measures and collects the current value consumed by the device as a power source over time, and a virtual boundary area around the device. and a virtual area module that detects whether an object enters the boundary area, a skeleton module that captures images around the device and collects them by shaping objects around the device into a skeleton model based on the image information, and the power supply.
  • a logic gate that detects and determines the level of risk around the device based on information from the measurement unit, virtual area module, and skeleton module and transmits the decision information to the control unit, and controls the operation of the device based on the decision information of the logic gate. It is characterized by comprising a control unit that does.
  • the logic gate sets a constant speed condition in which the operation of the device is stabilized and the waveform for the current value over time measured by the power measuring unit continuously maintains the value of the set safety range, and under the constant speed condition, Sets the allowable range for the current value,
  • the logic gate detects and determines the level of danger around the device when the waveform for the current value measured by the power measuring unit satisfies the constant speed condition.
  • the power measurement unit detects that the current value of the device exceeds the set allowable range
  • the logic gate is sent to the control unit around the device. It is judged to be in a dangerous state and an alarm is issued.
  • the logic gate sends the control unit to a safe state around the device. It is judged and transmitted as
  • the logic gate determines that the surrounding area of the device is in a dangerous state and alerts the control unit,
  • the control unit is characterized in that it controls the operation of the device to stop when the logic gate determines that the surroundings of the device are in a dangerous state.
  • condition setting module that can set body parts that are allowed to enter the virtual boundary area constructed in the virtual area module
  • the logic gate determines that the surrounding situation of the device is in a safe state.
  • the skeleton module includes an overall image processor that collects the entire image by shooting the entire area around the virtual boundary area built around the device, and a point image collection system that collects point images by shooting around the inside of the virtual boundary area built around the device. It is characterized by comprising a point image processor and a skeleton AI that shapes objects included in the image into a skeleton model based on the overall and point images captured by the overall and point image processor.
  • the virtual border area set in the virtual area module is divided into a risk border area built around the device and an alarm border area built outside the risk border area,
  • the logic gate When the logic gate detects the entry of an object into the alarm boundary area of the virtual area module and detects that the object entering the alarm boundary area through the skeleton module is a person, it alerts the surrounding area through the alarm unit,
  • the control unit determines the surrounding area of the device to be in a dangerous state and alerts the device to stop operation. It is characterized by controlling it as much as possible.
  • the logic gate further sets a critical threshold for the current value under constant speed conditions of the device
  • the logic gate determines the level of risk around the device by combining the information measured and collected from the power measurement unit, virtual area module, and skeleton module, respectively.
  • Figure 1 is a conceptual diagram of a safety accident prevention system for devices using a virtual fence and skeleton image of the present invention.
  • Figure 2 is a diagram illustrating a safety accident prevention system for devices using the virtual fence and skeleton image shown in Figure 1
  • Figures 3, 4, 5, and 6 are diagrams for explaining the diagram of the safety accident prevention system for devices using the virtual fence and skeleton image shown in Figure 2
  • Figure 7 is a diagram of the condition setting module in the device safety accident prevention system using the virtual fence and skeleton image shown in Figure 1
  • Figures 8 and 9 are diagrams for explaining the condition setting module in the device safety accident prevention system using the virtual fence and skeleton image shown in Figure 7.
  • Figure 10 is a diagram for explaining an example of an alarm unit through a device safety accident prevention system using the virtual fence and skeleton image shown in Figure 1
  • FIG. 11 is a diagram illustrating an example of a risk threshold through a device safety accident prevention system using the virtual fence and skeleton image shown in FIG. 1
  • Power measurement unit 20 Virtual area module
  • the present invention relates to a safety accident prevention system for devices using virtual fences and skeleton images, which consists of a power measuring unit that measures and collects the current value consumed by the device as a power source over time, and a virtual fence around the device.
  • a virtual area module that establishes and sets a boundary area and detects whether an object enters the boundary area, and a skeleton that captures images around the device and collects them by shaping objects around the device into a skeleton model based on the image information.
  • a logic gate that detects and determines the level of risk around the device based on information from the power measurement unit, virtual area module, and skeleton module, and transmits the judgment information to the control unit, and based on the judgment information of the logic gate, It is characterized by consisting of a control unit that controls the operation of the device.
  • a safety accident prevention system for devices using a virtual fence and a skeleton image will be described in detail based on the attached drawings. Detailed descriptions of well-known functions and configurations that are judged to unnecessarily obscure the gist of the present invention are omitted.
  • FIG. 1 to 11 show a safety accident prevention system for devices using a virtual fence and a skeleton image according to an embodiment of the present invention.
  • Figure 1 shows a safety accident prevention system for devices using a virtual fence and a skeleton image of the present invention.
  • Figure 2 is a conceptual diagram, Figure 2 is a diagram to explain the safety accident prevention system for devices using the virtual fence and skeleton image shown in Figure 1, and Figures 3, 4, 5, and 6 are the virtual fence and skeleton shown in Figure 2.
  • Figure 7 is a diagram for explaining the diagram of the safety accident prevention system for devices using images
  • Figure 7 is a diagram for the condition setting module in the safety accident prevention system for devices using the virtual fence and skeleton images shown in Figure 1
  • Figure 8 ,9 is a diagram to explain the condition setting module in the device safety accident prevention system using the virtual fence and skeleton image shown in Figure 7
  • Figure 10 is a diagram using the virtual fence and skeleton image shown in Figure 1.
  • FIG. 11 is a diagram illustrating an example of an alarm unit through a safety accident prevention system of a device
  • FIG. 11 is a diagram illustrating an example of a risk threshold through a safety accident prevention system of a device using the virtual fence and skeleton image shown in FIG. 1. are shown respectively.
  • the device safety accident prevention system 100 using a virtual fence and a skeleton image includes a power measurement unit 10, a virtual area module 20, and a skeleton module. It includes (30), a logic gate (40), and a control unit (50).
  • the power measuring unit 10 measures and collects the value of current consumed by the device as a power source over time.
  • the logic gate 40 which will be described later, detects a constant speed condition through the waveform of the current value over time measured by the power measuring unit 10, and based on the detected constant speed condition, the logic gate 40 detects the constant speed condition around the device.
  • the level of risk is determined, which will be explained in detail below.
  • the virtual area module 20 establishes a virtual boundary area 21 around the device and detects whether an object enters the boundary area.
  • the virtual boundary area 21 built around the device can be constructed in various sizes or shapes in consideration of the surrounding conditions or conditions in which the device is used, and this virtual boundary area 21 is a typical 3D area. It will be built based on the LiDAR (Light Detection And Ranging) method, but of course, it is not limited to this method.
  • LiDAR Light Detection And Ranging
  • the virtual image module 20 constructs a virtual boundary area 21 around the device and detects whether an object enters the constructed boundary area 21.
  • the detection information detected in this way is based on the logic. It serves as the basis for determining the level of risk around the device at the gate 40.
  • the skeleton module 30 captures images around the device, shapes objects around the device into a skeleton model based on the image information, and collects them.
  • the overall image processor 31 collects the entire image by shooting the entire area around the virtual boundary area 21 built around the device, and the overall image processor 31 collects the entire image by shooting the entire area around the virtual boundary area 21 built around the device.
  • a point image processor 32 that collects point images, and a skeleton AI 33 that shapes objects included in the image into a skeleton model based on the overall and point images captured by the overall and point image processors 31 and 32. It is made including.
  • the overall and point image processors 31 and 32 can be implemented with any device that can capture images, such as CCTV, IP cameras, infrared cameras, etc.
  • the overall and point image processors 31 and 32 capture images around the virtual boundary area 21, and the skeleton AI 33 converts the captured image information into a plurality of consecutive images over time. It is composed of an image frame, and a skeleton model is formed based on key points corresponding to the joint parts of the object on the composed image frame.
  • the skeleton AI 33 uses the image of the point image processor 32 along with the image of the entire image processor 31 to more precisely identify the part of the object entering the inside of the virtual boundary area 21.
  • the body part that has entered the inside of the virtual boundary area can be detected very precisely (accurately).
  • the logic gate 40 can detect the degree of risk around a highly reliable device based on the skeleton model embodied in the skeleton AI 33, which will be described in detail below.
  • the logic gate 40 detects and determines the degree of risk around the device based on information from the power measurement unit 10, the virtual area module 20, and the skeleton module 30, The decision information is transmitted to the control unit 50, which will be described later, so that the device is controlled so that the safety of the worker is protected.
  • the device will be described by implementing it as a kneading device that kneads the ingredients by rotating the stirring blade based on the power source of the motor.
  • a kneading device that kneads the ingredients by rotating the stirring blade based on the power source of the motor.
  • it is not limited to these devices.
  • the logic gate 40 stabilizes the operation of the device so that the waveform for the current value over time measured by the power measuring unit 10 continuously maintains the value of the set safety range.
  • the waveform for the current value measured by the power measuring unit 10 is formed momentarily very high and unstable, and this current value It is difficult to use the waveform as information for determining a dangerous state around the device through the logic gate 40.
  • the logic gate 40 sets the current value in the safe range, and when the driving of the kneading machine motor is stabilized and the current value of the kneading machine is maintained for a certain period of time within the safe range, the kneading machine motor is stabilized and satisfies the constant speed condition.
  • the current value and maintenance time of the safety range set at this time can be set variously in consideration of the type of device or usage conditions.
  • the allowable range for the current value of the kneading machine set in the logic gate 40 is based on the current value measured from the motor of the kneading machine through the power measuring unit 10 to determine the dangerous state around the machine.
  • the allowable range is set to a specific numerical threshold, but of course, the allowable range is not limited to this threshold.
  • the current value extracted from the kneading machine is converted into big data and learned through artificial intelligence.
  • the range of the stabilized current value of the kneading machine set by artificial intelligence based on the learned information can also be set to an acceptable range.
  • the logic gate 40 determines to detect the degree of danger around the kneading machine when the waveform for the current value measured by the power measuring unit 10 satisfies the constant speed condition.
  • the logic gate 40 detects the entry of an object into the virtual boundary area 21 around the kneading device built in the virtual area module 20, and at the same time, When the power measuring unit 10 detects that the current value of the kneading machine is outside (exceeding) the allowable range, the area around the kneading machine is judged to be in a dangerous state and an alarm is sent to the control unit 50 so that the kneading machine can be stopped immediately. do.
  • the virtual boundary area 21 is constructed by the virtual area module 20. Regardless of whether the object entering the area 21 is a person or an article, the kneading machine is stopped to prevent safety accidents that may injure people.
  • the logic gate 40 is constructed in the virtual area module 21 even if the current value of the kneading machine measured by the power measuring unit 10 exceeds the allowable range. If no object is detected entering the virtual boundary area 21 around one kneading device, the area around the kneading device is determined to be in a safe state and the operation of the kneading device is maintained.
  • the logic gate 40 operates the virtual area module 20 while the current value of the kneading machine measured by the power measuring unit 10 does not exceed the allowable range.
  • the entry of an object into the virtual boundary area 21 around the kneading machine built in is detected, and at the same time, based on the skeleton model of the object that entered the virtual boundary area 21 through the skeleton module 30, the object is recognized as a person.
  • the area around the kneading machine is judged to be in a dangerous state and an alert is sent to the control unit 50 so that the kneading machine can be stopped immediately.
  • the judgment through the logic gate 40 as described above is made by combining the information collected from the power measurement unit 10, the virtual area module 20, and the skeleton module 30, and thus excellent reliability of the judgment information. can be expected to effectively prevent safety accidents for workers and minimize economic losses that may occur due to unnecessary operation of the equipment.
  • the control unit 50 controls the operation of the device as described above based on the judgment information of the logic gate 40 to safely protect workers.
  • condition setting module 60 that can set body parts that are allowed to enter the virtual boundary area 21 constructed in the virtual area module 20,
  • the logic gate 40 determines the surrounding situation of the device to be in a safe state.
  • the worker's body approaches the device and repeatedly enters the virtual boundary area 21. For example, the worker directly inserts materials into the device or retrieves materials from the device. In this case, the worker's body has no choice but to naturally enter the virtual boundary area (21) built around the device.
  • the logic gate 40 detects the entry of a person into the virtual boundary area 21 through the virtual area module 20 and the skeleton module 30, but only enters the hand and elbow areas of the body set in the condition setting module 60. In this case, the surrounding area of the device is judged to be in a safe state.
  • the logic gate 40 determines the area around the device to be in a dangerous state and the control unit 50 ) of course, ensures the safety of workers by quickly stopping the device by sending an alarm.
  • the skeleton module 30 includes the entire image processor 31, which images the entire surroundings of the virtual boundary area 21, and the point image processor 32, which intensively images the inside of the virtual boundary area 21. )
  • the skeleton model By forming a skeleton model based on image information captured in the virtual boundary area 21, it is possible to very accurately detect and determine whether the object entering the virtual boundary area 21 is human or not and the body part entering the virtual boundary area 21. Therefore, excellent reliability of the judgment of the logic gate 40, which determines the dangerous state of the device based on the detection information of the skeleton module 30, can be secured.
  • the virtual border area 21 set in the virtual area module 20 includes a risk border area 21a built around the device and outside of the risk border area 21a. It is divided into a constructed alarm boundary area (21b),
  • the logic gate 40 detects the entry of an object into the alarm boundary area 21b of the virtual area module 20, and detects the object entering the alarm boundary area 21b through the skeleton module 30 as a person. When detected, an alert is sent to the surroundings through the alarm unit 70,
  • the control unit 50 When an object is detected entering the danger boundary area 21a of the virtual area module 20 and the object entering the danger boundary area 21a through the skeleton module 30 is detected as a person, the control unit 50 The area around the device is judged to be in a dangerous state and an alarm is issued to control the device to stop operation.
  • the logic gate 40 is the alarm boundary area 21b built around the device based on the detection information of the virtual area module 20 and the skeleton module 30.
  • an alert is sent to the surroundings through the alarm unit 70 to guide the person entering the alarm boundary area 21b to escape from danger by leaving the vicinity of the device, and at this time, the device is allowed to operate normally.
  • the alarm unit 70 is preferably implemented as a normal alarm light that emits a light source to the surroundings, so that the alarm can be effectively delivered to workers even in a site where various noises are generated.
  • the logic gate 40 alerts the control unit 50 of a dangerous state, so that the operation of the device is immediately stopped and it moves to the danger boundary area. Prevent safety accidents for those entering.
  • the level of the alarm determined through the logic gate 40 can be set more diversely to ensure worker safety. It protects more effectively and at the same time easily blocks workers from entering the dangerous boundary area 21a to ensure smooth operation of the device.
  • the logic gate 40 further sets a risk threshold for the current value under the constant speed condition of the device,
  • the risk threshold set through the logic gate 40 may be set to a value corresponding to the current value for the load generated in the device in a safety accident in which a person is trapped in the device, and the logic gate 40 If the current value measured through the power measuring unit 10 exceeds the critical threshold, it recognizes that a safety accident in which a person is trapped in the device has occurred and immediately stops the device through the control unit 50.
  • the logic gate 40 provides detection information of the virtual image module 20 and the skeleton module 30. Regardless, immediately stop the operation of the device to minimize damage to workers due to safety accidents occurring with the device.
  • the logic gate 40 of the device safety accident prevention system 100 using the virtual fence and skeleton image of the invention configured as described above includes the power measurement unit 10, the virtual area module 20, and the skeleton module 30. ) by combining the information collected from each measurement to clearly determine and detect the level of risk around the device, not only can workers be effectively protected by preventing safety accidents in advance, but also stop the device operation unnecessarily. This has the effect of encouraging stable operation and management of factory equipment by minimizing economic losses that may occur due to this.
  • the alarm unit ( 70) by constructing the virtual boundary area 21 of the virtual area module 20 by dividing it into an alarm boundary area 21b and a danger boundary area 21a, if there is a possibility that a worker may be exposed to a safety accident, the alarm unit ( 70), it has the effect of making it easier to protect the safety of workers by guiding them to escape the risk of accidents by providing an alarm.

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Abstract

La présente invention concerne un système de prévention contre un accident de sécurité de dispositif à l'aide d'une clôture virtuelle et d'une image de squelette, le système comprenant : une unité de mesure de puissance qui mesure et collecte la valeur d'un courant consommé dans le temps en tant que source d'alimentation par un dispositif ; un module de zone virtuelle qui construit/établit une zone de limite virtuelle autour du dispositif et qui détecte si un objet entre dans la zone de limite ; un module de squelette qui capture des images autour du dispositif et qui collecte l'imagerie d'objets autour du dispositif conformément à un modèle de squelette sur la base des informations d'image ; une porte logique qui détecte et détermine le degré de danger autour du dispositif sur la base des informations provenant de l'unité de mesure de puissance, du module de zone virtuelle et du module de squelette, et qui transmet les informations de détermination à une unité de commande ; et l'unité de commande qui commande le fonctionnement du dispositif sur la base des informations de détermination transmises à partir de la porte logique.
PCT/KR2023/095065 2022-11-14 2023-10-21 Système de prévention contre un accident de sécurité de dispositif à l'aide d'une clôture virtuelle et d'une image de squelette WO2024107036A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1020220151421A KR20240074933A (ko) 2022-11-14 2022-11-14 가상펜스와 스켈레톤 영상을 이용한 기기의 안전사고 방지 시스템
KR10-2022-0151421 2022-11-14

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WO2024107036A1 true WO2024107036A1 (fr) 2024-05-23

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US20060049939A1 (en) * 2004-09-08 2006-03-09 Sick Ag Method and apparatus for the control of a safety-relevant function of a machine
JP2006142822A (ja) * 2004-11-17 2006-06-08 Heidelberger Druckmas Ag 機械の状態に応じた安全性確保
KR101263749B1 (ko) * 2010-10-15 2013-05-13 유영동 자동문 시스템의 안전사고 방지방법
KR101194708B1 (ko) * 2012-05-25 2012-10-25 지투파워 (주) 아크 플래시 사고 에너지 산출에 의한 트립 레벨 제어 시스템이 구비된 고ㆍ저압배전반, 전동기제어반 및 분전반
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KR101458115B1 (ko) * 2014-06-11 2014-11-05 (주)성우피앤씨 배전반 안전 감지 장치
KR102083385B1 (ko) * 2018-08-28 2020-03-02 여의(주) 영상 추출 데이터의 동작 인지에 기초하는 위험 상황 판단 방법

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