Method and apparatus for automatically changing dangerous zone according to movement of worker on basis of UWB technology

Abstract

Disclosed are a method and an apparatus for automatically changing a dangerous zone according to the movement of a worker on the basis of UWB technology. The method for automatically changing a dangerous zone according to one embodiment of the present disclosure may comprise the steps of: obtaining position information of a plurality of workers and objects by receiving, by means of a movable anchor set, a signal from each of the positioning tags of the plurality of workers and the objects each having a positioning tag; setting at least one worker among the plurality of workers as an at-risk worker; setting an area within a preset distance from the at-risk worker as a dangerous area; determining whether the at-risk worker is in proximity to the other workers and the objects, on the basis of the position information of the at-risk worker and the position information of the other workers and the objects; and providing the at-risk worker and / or the other workers with a notification if the at-risk worker is in proximity to the other workers and the objects.

Description

Method and device for automatically changing risk areas according to worker movement based on UWB technology

[0001] The present disclosure relates to a method and device for automatically changing a hazardous area according to the movement of workers based on ultra-wide band (UWB) technology, which enables safety management of mobile workers in industrial sites.

[0002] Recently, various smart technologies are being developed to manage safety in industrial settings. In particular, RSSI-based fingerprinting location estimation technology for accurate positioning is widely used in indoor location-based services. Furthermore, with the commercialization of wearable devices such as smartwatches, safety management platforms utilizing these devices are becoming increasingly popular.

[0003] Among the technologies for position estimation, ultra-wideband wireless technology (UWB) refers to a system that occupies a bandwidth of more than 20% of the center frequency or a wireless transmission technology that occupies a bandwidth of more than 500 MHz, to distinguish it from narrowband systems and wideband systems described as 3G cellular technology.

[0004] While existing wireless technologies like Bluetooth and wireless LAN use specific frequency bands like 2.4GHz and 5GHz, respectively, UWB can utilize a wide frequency band from 3.1GHz to 10.6GHz, dramatically solving the problem of frequency shortage. With a maximum transmission distance of 1km, ten times that of wireless LAN, its service coverage is wide, enabling the implementation of two-way services such as automotive communications and disaster relief communications. Furthermore, UWB's key advantages include its power consumption being one-hundredth that of mobile phones or wireless LAN, and its low cost of commercialization.

[0005] Typical UWB-based positioning technologies establish a spatial structure by installing UWB anchors in fixed locations and assigning distance-based coordinates. UWB tags located within or adjacent to the structured space emit signals to estimate distances. These signals, combined with the fixed location information of the UWB anchors, are used to measure location using algorithms such as triangulation, trilateration, and straight-line intersection.

[0006] That is, most UWB anchors are installed at the edges or corners of the space where the UWB tag's position is to be determined, defining the space to be measured. However, UWB tag measurements can also be made outside the space where the signal reaches, provided there are no significant obstructions.

[0007] As the above technologies become more widely used, the need for an integrated management system that enables more precise positioning and more efficient safety management in specific spaces (e.g., closed indoor spaces such as factories, construction sites, hospitals, and offices) is increasing.

[0008] The background technology described above is technical information that the inventor possessed for the purpose of deriving the present invention or acquired in the process of deriving the present invention, and cannot necessarily be considered as publicly known technology disclosed to the general public prior to the application for the present invention.

[0009] (Prior art literature)

[0010] Prior Art 1: Korean Patent Publication No. 10-2476661 (December 7, 2022)

[0011] Prior Art 2: Korean Patent Publication No. 10-1872768 (June 25, 2018)

[0012] One object of the present disclosure is to prevent the occurrence of danger by setting up a mobile danger zone according to the mobility of workers performing high-risk work in industrial sites.

[0013] In addition, one object of the embodiment of the present disclosure is to solve the inconvenience and limitation of having to measure the distance and status of a signal received / collected (or transmitted / received) from a tag in a certain space by installing a UWB anchor at a fixed location in a specific space to determine the location of the tag, and to perform precise location determination in an industrial field through a portable UWB anchor set.

[0014] The objectives of the embodiments of the present disclosure are not limited to the tasks mentioned above. Other objectives and advantages of the present invention not mentioned above can be understood through the following description and will be more clearly understood through the embodiments of the present invention. Furthermore, it will be appreciated that the objectives and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims.

[0015] According to one embodiment of the present disclosure, a method for automatically changing a hazardous area according to worker movement based on UWB technology is provided, wherein at least a portion of each step is performed by a processor, and the method comprises: a method for automatically changing a hazardous area according to worker movement based on UWB technology for managing the safety of a plurality of workers within an industrial site through a movable anchor set that is equipped with a positioning tag and is capable of moving within a set range from a specific industrial site for safety management; the method comprises: receiving a signal from each of positioning tags of a plurality of workers and objects each equipped with a positioning tag in the movable anchor set, thereby obtaining position information of the plurality of workers and the objects; setting at least one worker among the plurality of workers as a hazardous worker; setting an area within a preset distance from the hazardous worker as a hazardous area; determining, based on the position information of the hazardous worker and the position information of the other worker and the object, whether the other worker and the object are in proximity to the hazardous worker; and providing a notification to the hazardous worker and / or the other worker when the other worker and the object are in proximity to the hazardous worker.

[0016] In addition, the step of obtaining position information of the plurality of workers and the object may include a step of converting signal information received from each of the position location tags of the plurality of workers and the object into a three-dimensional space based on the movable anchor set based on a homography algorithm, and obtaining coordinate values ​​of each of the position location tags of the plurality of workers and the object derived from the three-dimensional space based on the movable anchor set.

[0017] In addition, the step of setting the worker as a dangerous worker may include a step of setting the worker as a dangerous worker when it is confirmed that a worker scheduled to perform dangerous work among the plurality of workers has started work, when any worker among the plurality of workers enters the set area of ​​work set as dangerous work, or when it is confirmed that a worker among the plurality of workers is carrying a dangerous item.

[0018] In addition, the step of determining whether the other worker and the object are in proximity to the dangerous worker may include a step of checking the location information of the other worker and the location information of the object, and determining that the other worker and the object are in proximity when at least one of the other worker and the object enters the dangerous area.

[0019] Additionally, the step of providing a notification to the risk worker and / or the other worker may include a step of providing an access notification to the risk worker and the other worker when the other worker enters the risk area, and a step of providing an access notification to the risk worker when the object enters the risk area.

[0020] In addition, if the above-described risk worker satisfies the risk zone release condition, the step of releasing the risk zone of the risk worker may be further included, and the risk zone release condition may include a case where the completion of the work of the risk worker is confirmed, a case where the risk worker leaves the set area of ​​the work set as a risk task, and a case where the risk worker does not carry a dangerous item.

[0021] Additionally, the method may further include a step of obtaining biometric information from a biometric sensor of the above-mentioned risk worker.

[0022] In addition, the method may further include a step of identifying the health and stress state of the risk worker based on the biometric information of the risk worker; and a step of providing a notification to other workers who have entered the risk area if the health and stress state of the risk worker is outside the reference range.

[0023] In addition, the method may further include a step of obtaining location information including the location, average speed, acceleration, and movement direction of the hazardous worker based on a signal from the location tag of the hazardous worker; a step of deriving a movement pattern and coordinate change of the hazardous worker based on the location information; and a step of predicting a coverage departure event of the mobile anchor set based on the movement pattern and coordinate change of the hazardous worker.

[0024] In addition, if the prediction result predicts that the dangerous worker will leave the coverage of the mobile anchor set, the method may further include: setting a location tag of one of the other workers located at the coverage boundary of the mobile anchor set as a temporary anchor; and performing location positioning by setting a location tag of one of the other workers located at the coverage boundary of the mobile anchor set as a temporary anchor, and then resetting the mobile anchor set.

[0025] A device for automatically changing a hazardous area according to worker movement based on UWB technology according to one embodiment of the present disclosure is a device for automatically changing a hazardous area according to worker movement based on UWB technology for managing the safety of multiple workers in a specific industrial site, the device comprising: a movable anchor set provided to be movable within a set range from the specific industrial site; a memory; And one processor connected to the memory and configured to execute computer-readable instructions included in the memory, wherein the at least one processor may be configured to receive signals from each of the plurality of workers and the positioning tags of the objects within the industrial site, each of which is equipped with a positioning tag in the movable anchor set, to obtain position information of the plurality of workers and the objects, to set at least one worker among the plurality of workers as a dangerous worker, to set an area within a preset distance from the dangerous worker as a dangerous area, and to determine whether the other worker and object are in proximity to the dangerous worker based on the position information of the dangerous worker and the position information of the other worker and the object, and to provide a notification to the dangerous worker and / or the other worker when the other worker and the object are in proximity to the dangerous worker.

[0026] In addition, the at least one processor may be configured to convert signal information received from each of the positioning tags of the plurality of workers and the object into a three-dimensional space based on the movable anchor set based on a homography algorithm to obtain position information of the plurality of workers and the object, and to obtain coordinate values ​​of each of the positioning tags of the plurality of workers and the object derived from the three-dimensional space based on the movable anchor set.

[0027] In addition, the at least one processor may be configured to set a worker as a dangerous worker when it is confirmed that a worker scheduled to perform dangerous work among the plurality of workers has started work, when any worker among the plurality of workers enters a set area of ​​work set as dangerous work, or when it is confirmed that a worker among the plurality of workers is carrying a dangerous item.

[0028] Additionally, the at least one processor may be configured to check the location information of the other worker and the location information of the object, and determine that at least one of the other worker and the object and the dangerous worker are in proximity when at least one of the other worker and the object enters the dangerous area.

[0029] Additionally, the at least one processor may be configured to provide an access notification to the hazardous worker and the other worker when the other worker enters the hazardous area, and to provide an access notification to the hazardous worker when the object enters the hazardous area.

[0030] In addition, the at least one processor is further configured to release the risk area of ​​the risk worker when the set risk worker meets the risk area release condition, and the risk area release condition may include when the completion of the risk worker's work is confirmed, when the risk worker leaves the set area of ​​the work set as a risk task, and when the risk worker does not carry a dangerous item.

[0031] Additionally, the at least one processor may be further configured to obtain biometric information from a biometric sensor of the risk worker.

[0032] In addition, the at least one processor may be further configured to determine the health and stress state of the risk worker based on the biometric information of the risk worker, and to provide a notification to another worker who has entered the risk area if the health and stress state of the risk worker is outside a reference range.

[0033] In addition, the at least one processor may be further configured to obtain location information including a location, average speed, acceleration, and moving direction of the hazardous worker based on a signal from a location tag of the hazardous worker, derive a movement pattern and coordinate change of the hazardous worker based on the location information, and predict a coverage departure event of the mobile anchor set based on the movement pattern and coordinate change of the hazardous worker.

[0034] In addition, the at least one processor may be further configured to perform positioning by setting a positioning tag of one of the other workers located at the coverage boundary of the mobile anchor set as a temporary anchor when the prediction result predicts that the dangerous worker will leave the coverage of the mobile anchor set, and then reset the mobile anchor set by setting a positioning tag of one of the other workers located at the coverage boundary of the mobile anchor set as a temporary anchor.

[0035] In addition, other methods for implementing the present invention, other systems, and computer-readable recording media storing computer programs for executing the above methods may be further provided.

[0036] Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims and detailed description of the invention.

[0037] According to an embodiment of the present disclosure, by precisely identifying the location and mobility of a hazardous worker performing high-risk work at an industrial site based on ultra-wideband wireless technology (UWB) and setting a mobile hazardous zone based on the location and mobility, it is possible to reduce risks that may occur at an industrial site.

[0038] In addition, according to an embodiment of the present disclosure, by measuring the vital signs of a hazardous worker and providing information to nearby workers so that they can be monitored, it is possible to identify hazardous workers and enable more specific health management.

[0039] In addition, according to an embodiment of the present disclosure, by configuring a set of movable anchors like a stereoscopic sensor for positioning and applying it to immediate positioning, the inconvenience and limitation of having to install UWB anchors at fixed locations in a specific space and measure the distance and status of signals received / collected (or transmitted / received) from tags in a certain space to determine the position of tags can be solved.

[0040] The effects of the present disclosure are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

[0041] FIG. 1 is a schematic diagram illustrating a system for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment.

[0042] FIG. 2 is a diagram for explaining a system for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment.

[0043] FIG. 3 is a block diagram schematically illustrating a device for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment.

[0044] FIG. 4 is an exemplary diagram illustrating a device for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment.

[0045] FIG. 5 is a schematic diagram illustrating a process for automatically changing a risk area according to worker movement based on UWB technology of a processor according to one embodiment.

[0046] FIG. 6 is a flowchart illustrating a method for automatically changing a risk area according to worker movement based on UWB technology of a processor according to one embodiment.

[0047] FIG. 7 is an exemplary diagram illustrating positioning based on a set of two separate, movable anchors according to one embodiment.

[0048] The advantages and features of the present disclosure and the methods for achieving them will become apparent with reference to the embodiments described in detail together with the accompanying drawings.

[0049] However, the present disclosure is not limited to the embodiments presented below, but can be implemented in various different forms, and it should be understood that it includes all transformations, equivalents, and substitutes included in the spirit and technical scope of the present disclosure. The embodiments presented below are provided to make the present disclosure complete and to fully inform those skilled in the art of the present disclosure of the scope of the disclosure. In describing the present disclosure, if a detailed description of a related known technology is determined to obscure the gist of the present disclosure, the detailed description thereof will be omitted.

[0050] The terminology used in this application is only used to describe specific embodiments and is not intended to limit the present disclosure. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, it should be understood that the terms "comprise" or "have" are intended to indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof. Terms such as first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms are used solely for the purpose of distinguishing one component from another.

[0051] Hereinafter, embodiments according to the present disclosure will be described in detail with reference to the attached drawings. In describing with reference to the attached drawings, identical or corresponding components are assigned the same drawing numbers, and redundant descriptions thereof will be omitted.

[0052] FIG. 1 is a schematic diagram illustrating a system for automatically changing a hazardous area based on worker movement based on UWB technology according to one embodiment. FIG. 2 is a diagram illustrating a system for automatically changing a hazardous area based on worker movement based on UWB technology according to one embodiment.

[0053] Referring to FIG. 1, a system (1) for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment may include a device (100) for automatically changing a risk area according to worker movement based on UWB technology, a user terminal (200), a server (300), and a network (400).

[0054] Referring to FIG. 2, the automatic risk area change system (1) of one embodiment is an industrial site safety management platform specialized in enclosed workspaces, and movable anchors can be utilized for precise positioning using UWB. In one embodiment, the enclosed workspace may refer to a location such as a building, cave, or tunnel. Furthermore, in one embodiment, the industrial site may refer to any space where productive activities are performed, such as a production site, construction site, or hospital. However, the meaning of the enclosed workspace and industrial site is not limited to the above, and broadly, it may refer to any location where anchor installation is difficult or the location must be frequently changed. Accordingly, in one embodiment, there is no need to install anchors in advance, and the anchors can be moved, making it easy to reuse the anchors. However, for convenience of explanation, the following description will be made as providing a safety management service for workers (laborers) in industrial sites such as production sites and construction sites.

[0055] The automatic risk zone change system (1) of one embodiment can enable safety management according to the mobility of hazardous workers by changing the hazardous zone based on the movement of hazardous workers selected according to criteria. In other words, the automatic risk zone change system (1) can set a dynamic hazardous zone.

[0056] Additionally, the automatic risk area change system (1) can provide a health status alarm for a hazardous worker to workers within a set area if the worker is experiencing health problems. Furthermore, the automatic risk area change system (1) can provide location-based safety management services, such as providing a notification for emergency treatment to the worker closest to the hazardous worker, or ensuring that another worker is present within a certain radius of the hazardous worker.

[0057] Meanwhile, UWB, utilized in the automatic risk zone change system (1), is a technology that enables precise positioning. However, to determine a location in a given space, anchors that receive and collect signals must be installed in fixed locations. Furthermore, these locations must be recorded to measure the distance and status of signals received from tags, which presents inconveniences and limitations.

[0058] Most anchors are installed at the edges or corners of the space where the tag's position is to be determined, defining the area to be measured. However, tag measurements can also be made outside the space where the signal reaches, provided there are no special shielding (obstructions).

[0059] Accordingly, in one embodiment, a set of anchors is configured as shown in FIG. 5 for positioning of a tag, but is reduced to a small movable space and projected onto a space to be actually measured, thereby performing positioning of the tag.

[0060] That is, the automatic risk area change system (1) performs positioning based on UWB, and unlike the general method of predicting the location of a tag within a space by installing anchors at specific locations and configuring a space, it configures a set of anchors to be portable and configures a space based on projection and homography algorithms from outside the space where the tag is to be measured.

[0061] In addition, the automatic risk area change system (1) can determine the location of a UWB tag in a target space by classifying the characteristics of a signal according to a material (e.g., cement, glass, etc.) that interferes with location determination and signal propagation based on a deep neural network. At this time, a linear regression neural network can be applied to the deep neural network, but is not limited thereto.

[0062] Meanwhile, in one embodiment, positioning can be performed based on a Time Difference of Arrival (TDoA) method that predicts distance through a time difference received at anchors based on the speed of radio waves moving through the air, and a Two Way Ranging (TWR) method that predicts distance based on transmission and reception time between anchors and tags. When the TDoA method is applied, signals can be received (or collected) at anchors, and when the TWR method is applied, signals can be transmitted and received at anchors.

[0063] However, in one embodiment, the method is not limited to TDoA or TWR, but is described as receiving a signal from an anchor by using TDoA as an example. In addition to TDoA and TWR, methods such as Angle of Arrival (AoA) and Angle of Departure (AoD) may also be applied.

[0064] Meanwhile, as described above, UWB measures distances by using the TDoA method and TWR method, which predict distances through time differences received at anchors based on the speed of radio waves moving through the air. In this case, in one embodiment, the anchors are located outside the industrial site for positioning, so the status of the received signal with respect to obstacles must be identified.

[0065] Accordingly, in one embodiment, the positioning accuracy can be improved by referring to the RSSI (Received Signal Strength Indicator) and the signal status between anchors for LOS / NLOS (Line of Sight / Non Line of Sight) that predict the status of the received signal.

[0066] Meanwhile, in one embodiment, users can access an application or website implemented on a user terminal (200) to request and receive the automatic risk zone change service. Furthermore, users can access an application or website implemented on a user terminal (200) to perform a support process for providing the automatic risk zone change service.

[0067] In one embodiment, the user terminal (200) may include a first user terminal (210), a second user terminal (220), and a third user terminal (230). The first user terminal (210) and the second user terminal (220) may be terminals of users requesting automatic change services for hazardous areas, i.e., workers working at industrial sites. In this case, the first user terminal (210) may be a terminal of a specific hazardous worker specifically for monitoring, and the second user terminal (220) may be a terminal of another worker. In addition, the third user terminal (230) may be a user terminal providing the automatic change services for hazardous areas, i.e., a terminal of an administrator.

[0068] However, in one embodiment, the user terminals are described separately for convenience of explanation, but this is not limited thereto. That is, in one embodiment, the user terminal (200) may refer to different devices such as the first user terminal (210), the second user terminal (220), and the third user terminal (230), but may also refer to the same terminal.

[0069] These user terminals (200) can receive automatic risk zone change services by accessing the automatic risk zone change application or automatic risk zone change site and going through an authentication process. The authentication process may include, but is not limited to, authentication for entering user information such as membership registration, authentication for the user terminal, etc., and the authentication process may also be performed simply by accessing a link transmitted from the automatic risk zone change device (100) and / or server (300).

[0070] Meanwhile, in one embodiment, the user terminal (200) may be implemented as a tag that seeks to determine a location.

[0071] Such user terminals (200) may be, but are not limited to, desktop computers, smartphones, laptops, tablet PCs, smart TVs, mobile phones, PDAs (personal digital assistants), laptops, media players, microservers, GPS (global positioning system) devices, e-book readers, digital broadcasting terminals, navigation systems, kiosks, MP3 players, digital cameras, home appliances, and other mobile or non-mobile computing devices operated by users.

[0072] In one embodiment, the first user terminal (210) and the second user terminal (220) may be wearable devices, such as watches, glasses, hair bands, and rings, equipped with communication and data processing functions. However, the user terminal (200) is not limited to the above-described content, and any terminal capable of web browsing may be used without limitation.

[0073] Meanwhile, in one embodiment, the automatic risk area change system (1) may be implemented by an automatic risk area change device (100) and / or a server (300). In other words, the automatic risk area change device (100) may be implemented in part or in whole by a server (300).

[0074] That is, the automatic risk area change device (100) can be implemented in a server (300), and the server (300) can be a server for operating a automatic risk area change system (1) including the automatic risk area change device (100) or a server for implementing part or all of the automatic risk area change device (100).

[0075] In one embodiment, the server (300) may be a server that receives a request for an automatic change service for a dangerous area, performs positioning based on UWB based on a preset algorithm, provides monitoring and access alarms for each worker location based on the positioning results, and controls the operation of the automatic change device for a dangerous area (100) for the overall process of managing and providing health status, etc. based on bio-signals received from the worker's user terminal (200).

[0076] In addition, the server (300) may be a server that manages and controls not only the configurations of the automatic risk area change device (100), but also new registration of related devices, network environment, etc., so that service provision and management in the automatic risk area change service platform can be smoothly performed.

[0077] Additionally, the server (300) may be a database server that provides data for operating the automatic risk area change device (100). In addition, the server (300) may include a web server, an application server, or a deep learning network providing server.

[0078] And the server (300) may include a big data server and an AI server required for applying various artificial intelligence algorithms, a calculation server that performs calculations of various algorithms, etc.

[0079] Additionally, in one embodiment, the server (300) may include or be networked with the servers described above. That is, in one embodiment, the server (300) may include or be networked with the web server and AI server described above.

[0080] In the automatic risk area change system (1), the automatic risk area change device (100) and the server (300) can be connected by a network (400). This network (400) can include wired networks such as local area networks (LANs), wide area networks (WANs), metropolitan area networks (MANs), and integrated service digital networks (ISDNs), or wireless networks such as wireless LANs, CDMA, Bluetooth, and satellite communication, but the scope of the present disclosure is not limited thereto. In particular, in one embodiment, the network (400) can be based on ultra-wideband (UWB) wireless technology. In addition, the network (400) can transmit and receive information using short-range communication and / or long-range communication.

[0081] Additionally, the network (400) may include connections of network elements such as hubs, bridges, routers, switches, and gateways. The network (400) may include one or more connected networks, such as a multi-network environment, including a public network such as the Internet and a private network such as a secure corporate private network. Access to the network (400) may be provided through one or more wired or wireless access networks. Furthermore, the network (400) may support an Internet of Things (IoT) network and / or 5G communication, which exchange and process information between distributed components such as objects.

[0082] FIG. 3 is a block diagram schematically illustrating a device for automatically changing a risk area according to worker movement based on UWB technology according to one embodiment.

[0083] Referring to FIG. 3, the automatic risk area change device (100) may include a communication interface (110), a user interface (120), a memory (130), and a processor (140). In addition, the automatic risk area change device (100) may include a movable anchor set (150) for positioning within an industrial site.

[0084] The communication interface (110) may provide a communication interface necessary to provide transmission and reception signals between external devices in the form of packet data in conjunction with a network (400). In addition, the communication interface (110) may be a device including hardware and software necessary to transmit and receive signals, such as control signals or data signals, through a wired or wireless connection with another network device.

[0085] This communication interface (110) can support various types of object intelligence communication (IoT (internet of things), IoE (internet of everything), IoST (internet of small things), etc.), and can support M2M (machine to machine) communication, V2X (vehicle to everything communication) communication, D2D (device to device) communication, etc.

[0086] That is, the processor (140) can receive various data or information from an external device connected through the communication interface (110), and can also transmit various data or information to the external device. In addition, the communication interface (110) can include at least one of a UWB module, a WiFi module, a Bluetooth module, a wireless communication module, and an NFC module.

[0087] The user interface (120) may include an input interface into which user requests and commands for the automatic risk area change service platform provided by the automatic risk area change device (100) are input.

[0088] In addition, the user interface (120) may include an input interface for inputting user requests and commands for controlling the operation of the automatic risk area change device (100) (e.g., setting an algorithm, changing learning parameters of the algorithm, entering a movable anchor set location, changing various settings and conditions for positioning, changing dangerous worker settings and conditions, changing various settings and conditions for worker monitoring, etc.).

[0089] The user interface (120) may include an output interface for outputting industrial site safety management-related notifications, monitoring results, etc. That is, the user interface (120) may output results according to user requests and commands. The input interface and output interface of the user interface (120) may be implemented in the same interface. That is, in one embodiment, the user interface (120) may be implemented as a user terminal (200).

[0090] The memory (130) stores various information necessary for controlling (computing) the operation of the automatic risk area change device (100) and / or the server (300), and can store control software, and may include a volatile or non-volatile recording medium.

[0091] The memory (130) is connected to one or more processors (140) by an electrical or internal communication interface, and can store codes that, when executed by the processor (140), cause the processor (140) to control the automatic risk area change device (100).

[0092] Here, the memory (130) may be a non-transitory storage medium such as a magnetic storage medium or a flash storage medium, or may include a temporary storage medium such as a RAM, but the scope of the present invention is not limited thereto. The memory (130) may include a built-in memory and / or an external memory, and may include a volatile memory such as a DRAM, an SRAM, or an SDRAM, a non-volatile memory such as an OTPROM (one time programmable ROM), a PROM, an EPROM, an EEPROM, a mask ROM, a flash ROM, a NAND flash memory, or a NOR flash memory, a flash drive such as an SSD, a CF (compact flash) card, an SD card, a Micro-SD card, a Mini-SD card, an Xd card, or a memory stick, or a storage device such as an HDD.

[0093] In addition, information related to an algorithm for performing learning according to the present disclosure may be stored in the memory (130). Additionally, various information necessary to achieve the purpose of the present disclosure may be stored in the memory (130), and the information stored in the memory (130) may be updated as received from a server or external device or input by a user.

[0094] The processor (140) can control the overall operation of the automatic risk area change device (100). Specifically, the processor (140) is connected to the configuration of the automatic risk area change device (100) including the memory (130), and can control the overall operation of the automatic risk area change device (100) by executing at least one command stored in the memory (130).

[0095] The processor (140) may be implemented in various ways. For example, the processor (140) may be implemented as at least one of an application specific integrated circuit (ASIC), an embedded processor, a microprocessor, hardware control logic, a hardware finite state machine (FSM), and a digital signal processor (DSP).

[0096] The processor (140) is a type of central processing unit that can control the operation of the automatic risk area change device (100) by driving the control software installed in the memory (130). The processor (140) may include any type of device capable of processing data. Here, the term "processor" may refer to a data processing device built into hardware that has a physically structured circuit to perform a function expressed by a code or instruction included in a program, for example.

[0097] FIG. 4 is an exemplary diagram illustrating a device for automatically changing a hazardous area based on worker movement based on UWB technology according to one embodiment. FIG. 5 is a schematic diagram illustrating a process for automatically changing a hazardous area based on worker movement based on UWB technology of a processor according to one embodiment. FIG. 6 is a flowchart illustrating a method for automatically changing a hazardous area based on worker movement based on UWB technology of a processor according to one embodiment.

[0098] Referring to FIGS. 4 and 5, a processor (140) of one embodiment may perform positioning of UWB tags (hereinafter, positioning tags, 201) mounted on a plurality of workers and objects within an industrial site based on a movable UWB anchor set (hereinafter, anchor set, 150). In addition, the processor (140) of one embodiment may use a biosensor (202) mounted (worn) and / or attached to a plurality of workers to monitor health status, etc. based on the biosignals of the workers, and may provide proximity notifications to dangerous workers, approach notifications of other workers, etc.

[0099] Meanwhile, the positioning tag (201) and the biometric sensor (202) may be each configured separately and may be mounted (worn) and / or attached by the workers. However, the present invention is not limited thereto, and the positioning tag (201) and the biometric sensor (202) may both be included in the user terminal (200). That is, in one embodiment, the tag function for positioning and the biometric sensing function for monitoring the health status of the workers may be performed through the user terminal (200) mounted on the workers. The user terminal (200) may be a wearable device, in particular. In one embodiment, the wearable device is provided with a communication module so that it can communicate directly with the server (300), so that a smartphone is not required when communicating with the server (300), and thus, it can be used in a wider variety of situations.

[0100] A wearable device may include a wearable member worn on a worker's body, a sensor unit installed in the wearable member to measure the worker's biometric information, an input module installed in the wearable member to allow the worker to input work-related input information, a display unit installed in the wearable member to display information, a positioning module installed in the wearable member to generate location information of the worker wearing the wearable member, and a communication module provided in the wearable member to transmit location information, biometric information, and input information, and to transmit and receive UWB signals. The wearable member may be wearable on any part of the worker's body, and is not limited thereto, and may be formed in a form attached to the body.

[0101] That is, the processor (140) can manage the safety of multiple workers in an industrial site equipped with a user terminal (200) through a mobile anchor set (150) that is equipped to be able to move within a set range from a specific industrial site for safety management based on UWB.

[0102] Hereinafter, with reference to FIG. 6, a method for automatically changing a risk area according to worker movement based on UWB technology of a processor (140) will be described.

[0103] The processor (140) can receive signals from each of the positioning tags (201) of a plurality of workers and objects in the anchor set (150) to obtain position information of the plurality of workers and the objects (S100).

[0104] In one embodiment, the anchor set (150) may be installed on a specific industrial site for safety management. The processor (140) may receive signals from each of the positioning tags (201) of a plurality of workers and objects within the industrial site, for example, within the coverage area of ​​the anchor set (150). The workers may be equipped with positioning tags (201) in the form of wearable devices as described above, and the objects may be equipped with positioning tags (201) in the form of existing tags.

[0105] Meanwhile, a specific method for obtaining location information will be described below with reference to FIG. 7.

[0106] In one embodiment, the processor (140) may also obtain biometric information from biometric sensors (202) provided in user terminals (200) of multiple workers. In particular, the processor (140) may obtain biometric information from the biometric sensors (202) of the hazardous worker.

[0107] In one embodiment, the biometric sensor (202) may include a heart rate sensor, a body temperature sensor, or an acceleration sensor. Here, the acceleration sensor can detect the worker's moving speed, stationary and moving states, etc. Accordingly, the processor (140) can determine the user's condition based on the measurement information measured by the heart rate sensor, body temperature sensor, or acceleration sensor. For example, the processor (140) can analyze information about the user's gait using the measurement information of the acceleration sensor, and can also determine the user's sleep state or stress level using the measurement information of the heart rate sensor and the acceleration sensor.

[0108] The processor (140) can set at least one worker among a plurality of workers as a dangerous worker (S200).

[0109] The processor (140) may designate a worker scheduled to perform hazardous work as a hazardous worker if the start of work by a worker scheduled to perform hazardous work among multiple workers is confirmed. For example, if a worker scheduled to perform explosive ordnance disposal arrives at the work location and inputs the start of work via the user terminal (200), or if the worker stays in a specific area for a set period of time or longer, the processor may determine that the worker has arrived at the work location and begun work, thereby designating the worker as a hazardous worker.

[0110] Additionally, the processor (140) may designate any worker among multiple workers as a hazardous worker if that worker enters a designated area for a hazardous task. For example, if an area where explosives are installed is designated as a hazardous task area, and a specific worker remains in that area for a set period of time, the processor may determine that hazardous work has begun and designate the worker as a hazardous worker.

[0111] Additionally, if a worker among multiple workers is identified as carrying a hazardous material, the processor (140) may designate that worker as a hazardous material worker. For example, if a worker carrying explosives is on the move, the worker may be designated as a hazardous material worker.

[0112] And the processor (140) can set a risk area within a preset distance based on a risk worker (S300).

[0113] The processor (140) may, for example, set a 10-meter radius around a hazardous worker as a hazardous area. Furthermore, depending on the embodiment, the hazardous area may be divided into different risk levels based on distance. For example, within a 10-meter hazardous area, the 1-meter to 3-meter range may be classified as a hazardous area, the 3-meter to 6-meter range as a warning area, and the 6-meter to 10-meter range as a caution area, thereby providing notifications based on the approaching location of other workers.

[0114] Additionally, the processor (140) may set the size of the risk zone differently depending on the risk level of the work of the hazardous worker. For example, the size of the risk zone may be increased as the risk level of the hazardous work increases.

[0115] Next, the processor (140) can determine whether the dangerous worker is in proximity to other workers and objects based on the location information of the dangerous worker and the location information of other workers and objects (S400).

[0116] The processor (140) can check the location information of other workers and the location information of objects, and if at least one of the other workers and objects enters a dangerous area, it can determine that at least one of the other workers and objects and the dangerous worker are in proximity. At this time, at least one of the dangerous worker, other workers, and objects may be stationary or moving.

[0117] The processor (140) can provide a notification to the hazardous worker and / or the other worker when the hazardous worker is in proximity to other workers and objects (S500).

[0118] The processor (140) may provide an approach notification to the hazardous worker and other workers when another worker enters the hazardous area, and may provide an approach notification to the hazardous worker when an object enters the hazardous area. That is, the processor (140) may provide a risk notification to the user terminals (200) of the hazardous worker and other workers when another worker approaches the hazardous area of ​​the hazardous worker while the hazardous worker is working or when another worker approaches the hazardous area while the hazardous worker is moving. In addition, the processor (140) may notify the hazardous worker of the situation when a moving object approaches the hazardous area of ​​the hazardous worker while the hazardous worker is working or when an object approaches the hazardous area while the hazardous worker is moving.

[0119] Additionally, the processor (140) can determine the health and stress status of the hazardous worker based on the biometric information of the hazardous worker. If the health and stress status of the hazardous worker falls outside the standard range, the processor (140) can provide a notification to other workers who have entered the hazardous area. For example, if the hazardous worker has a health problem, the processor can provide a notification to the nearest worker for emergency treatment for the hazardous worker. In addition, the processor (140) can provide a notification to other workers to approach the hazardous area of ​​the hazardous worker, ensuring that other workers are within a certain radius of the hazardous worker.

[0120] In one embodiment, the processor (140) may release the hazardous worker from the hazardous area if the hazardous worker meets the hazardous area release conditions. In this case, the hazardous area release conditions may include: confirmation of completion of the hazardous worker's work; departure from the set area of ​​the hazardous work; and absence of hazardous materials from the hazardous worker.

[0121] FIG. 7 is an exemplary diagram illustrating positioning based on a set of two separate, movable anchors according to one embodiment.

[0122] The processor (140) can project the three-dimensional space to be measured onto the plane space of the sensor (i.e., anchor) to measure or predict the three-dimensional position or distance to the corresponding object for data acquired in the measurement space, which is also called projection technology. This projection technology projects information about the three-dimensional space to be acquired onto the plane of the sensor (i.e., anchor) to record position and distance information. However, in the case of a relative plane space such as a camera, depth (or distance) values ​​cannot be recorded, so multiple images can be used or the size of the object can be specified to predict the distance.

[0123] Based on this technology, in one embodiment, a three-dimensional space can be constructed using multiple anchors, and a location can be measured based on signal information of a tag acquired from an industrial site, which is a three-dimensional space to be measured.

[0124] That is, the processor (140) can acquire an industrial site to be measured using a projection technology (i.e., projection matrix-based technology) by using a three-dimensional anchor set (150) configured to be movable, and reconstruct a three-dimensional space based on the plane on which the anchor set (150) is placed through a homography algorithm (homography matrix-based).

[0125] Therefore, in one embodiment, an anchor that receives a signal emitted by a tag can be configured to be projected. This method is similar to AOA, which utilizes the difference in the speed of radio waves traveling through the air. However, since AOA-based anchors are complex to implement, in one embodiment, a TDoA-based anchor may be used.

[0126] Meanwhile, in one embodiment, for the space to be measured, two sets of anchors may be used to measure the distance, like a camera (for example, two sets of 'A and B' and 'C and D'). At this time, the first anchor set may be responsible for positioning on a plane, and the second anchor set may be responsible for correcting reflection, transmission, and refraction when receiving from the first anchor set, and simultaneously constructing a space (height) for the measured plane. That is, in one embodiment, a movable anchor set including two anchor sets for plane positioning and two anchor sets for plane correction and space construction may be used to construct a projective space by receiving a tag signal. However, the present invention is not limited thereto, and each anchor set may be provided with three or more, and at least one anchor may be implemented as the same anchor.

[0127] Meanwhile, the problem with existing AOA anchors is that, due to the measurement method, they are generally performed at close range. Long-range measurements can be subject to significant errors due to obstacles and sharp angles, making it difficult to measure time differences. This technology, like UWB anchors for AOA, can address the challenges of long-range positioning, which are often associated with high manufacturing costs and measurement errors.

[0128] As illustrated in FIG. 7, the processor (140) can measure a first distance value, which is a horizontal plane distance (D), for the tag P, for the A and B anchors (the first anchor set). In addition, the processor (140) can measure a second distance value, which is a vertical plane distance (D'), for the C and D anchors (the second anchor set) located behind the A and B anchors. Here, behind can mean located behind with respect to the direction toward the tag P.

[0129] At this time, the depth difference between the first and second anchor sets may be caused by a difference in LOS / NLOS signals due to obstacles in the space to be measured. Accordingly, the processor (140) can adjust the depth based on the RSSI values ​​received together. The depth value can be defined as a designated projection layer between the actual tag location and the anchor set.

[0130] In one embodiment, the processor (140) can derive an x-coordinate on a plane projected by a received signal of a first anchor set (between A and B), and derive a y-coordinate by substituting it on a plane projected by a received signal of a second anchor set (between C and D). In addition, the processor (140) can derive a z-coordinate based on a first distance value of the first anchor set and a second distance value of the second anchor set, and ultimately derive a coordinate of a space where a tag is located.

[0131] At this time, in one embodiment, the distance between anchors within the anchor set can be adjusted according to the size of the space to be projected (positioned) or the positioning precision, and the resolution of the layer to be projected can be improved according to the adjustment of the distance between anchors.

[0132] Meanwhile, signals emitted from tags can be divided into LOS (line of sight) that are received directly and NLOS (non-line of sight) that are received after being reflected, transmitted, or refracted. These LOS / NLOS signals are slower than the general speed of radio waves transmitted through the air, which can cause the predicted distance to be longer than the actual distance. In other words, signals composed of LOS / NLOS are the main cause of errors in position prediction depending on the measurement method. In this way, it can be difficult to calculate the correct distance or arrival speed for the space to be measured due to obstacles or materials that change the refraction of the signal. In other words, location measurement can be difficult using algorithms such as triangulation / trilateration due to various environments.

[0133] Accordingly, the processor (140) can identify the status of a signal and derive the location in the projected space based on a deep neural network.

[0134] Due to the spatial projection and obstacles (cement, glass, trees, etc.) that exist in the space where the tag's location is being determined using anchor sets, the signals received by the anchors may contain noise or errors in LOS / NLOS and RSSI. Algorithms that address this issue, such as signal-to-noise ratio (SNR), received signal strength, and obstacle-related delay processing, can be used. However, these algorithms struggle to adapt to diverse environments, and some algorithm parameters are manually defined by humans.

[0135] Accordingly, the processor (140) can collect learning data on the distance of the received signal, RSSI, and the environment of the anchor set location according to the obstacle material through experiments and learning, thereby training a positioning model of a deep neural network based on correction according to the obstacle material. In other words, the processor (140) can calculate the location of the tag based on the relative relationship of the received signal and the location of the anchor through the positioning model.

[0136] This positioning model may be a learning model that is trained to input {structural position of anchor set}, {received signal from tag, expected distance from tag according to speed of radio wave in the air}, {RSSI from tag}, {signal component between anchors in anchor set: propagation speed} as input data, and output {position of tag: x, y, z}, {position reliability, radio wave component quality}. Here, for the structural position of the anchor set among the input data, the position of each anchor may be automatically calculated according to the structure of the preset anchor set. The structure of the preset anchor set may mean a coordinate system based on the anchor set.

[0137] That is, the processor (140) can perform tag positioning using a pre-trained deep neural network-based positioning model that outputs the tag's position, position reliability, and radio component quality by using at least one of the structural position of the anchor set, the received signal from the tag, the expected distance from the tag according to the speed of radio waves in the air, RSSI, and signal components between anchors within the anchor set as input data.

[0138] At this time, the positioning model may be trained using training data in which at least one of the learning data about the distance of the received signal, RSSI, and the environment of the anchor set location is labeled as an obstacle material.

[0139] Meanwhile, in one embodiment, for example, the testing of a positioning model may be applied with a general six Full Connected Layers and two Dropouts, and the MSE Loss for the first anchor set (A, B) and the second anchor set (C, D), and the combined MSE Loss for A, B, C, and D may be applied. In one embodiment, the neural network may also be modified and applied based on more environmental factors (e.g., weather-related influences, seasonal influences, etc.).

[0140] In addition, according to an embodiment, the pre-learned deep neural network-based positioning model may be a learning model that is trained to query, as input, the structural positions of a movable anchor set including a first anchor set and a second anchor set and reception signals from tags for each of the first anchor set and the second anchor set of the movable anchor set, the tag positions in a projection plane derived based on the structural positions of the anchor sets and the reception signals from the tags, and output a tag positioning result in a three-dimensional space based on the anchor set for the tag positions in the projection plane.

[0141] Here, deep neural network learning (deep learning) technology can learn at multiple levels, deepening the data base. Deep learning can be defined as a collection of machine learning algorithms that extract key data from multiple data sets as they progress through the data.

[0142] The deep learning structure may include an artificial neural network (ANN), and for example, the deep learning structure may be composed of a deep neural network (DNN) such as a convolutional neural network (CNN), a recurrent neural network (RNN), and a deep belief network (DBN). The deep learning structure according to an embodiment may utilize various known structures. That is, the positioning system (1) may be equipped with an artificial neural network, and that is, the processor (140) of the present embodiment may include an artificial neural network, for example, a deep neural network (DNN) such as a CNN, an RNN, and a DBN. Both unsupervised learning and supervised learning may be used as machine learning methods of the artificial neural network. In the present embodiment, the artificial neural network structure may be controlled to be updated after learning according to settings.

[0143] Meanwhile, in one embodiment, by predicting in advance the possibility of a hazardous worker leaving the coverage area of ​​the anchor set (150), it is possible to determine the installation of additional nodes before the worker leaves the coverage area. This prevents the hazardous worker from leaving the coverage area and enables more accurate positioning. Furthermore, it prevents the installation of unnecessary nodes.

[0144] The processor (140) can obtain location information, including the location, average speed, acceleration, and direction of movement of the hazardous worker, based on signals from the hazardous worker's location tag. Furthermore, the processor (140) can derive the movement pattern and coordinate changes of the hazardous worker based on the location information. At this time, the processor (140) can predict a coverage departure event of the anchor set (150) based on the movement pattern and coordinate changes of the hazardous worker.

[0145] If the processor (140) predicts that the hazardous worker will leave the coverage area of ​​the anchor set (150) based on the above prediction result, the processor (140) may set the location positioning tag (201) of one of the other workers located at the coverage boundary of the anchor set (150) as a temporary anchor. Then, the processor (140) may perform location positioning by setting the location positioning tag (201) of the corresponding worker as a temporary anchor, and then reset the anchor set (150). For example, it may determine whether to move the location of the anchor set (150) or add a node for location positioning.

[0146] That is, the positioning tag (201) of one embodiment can function as both a tag and an anchor. The processor (140) can store position information acquired by a set of anchors including temporary anchors.

[0147] Meanwhile, the processor (140) can release the temporary anchor and reset the anchor set (150) when a condition such as a preset time elapses after setting the temporary anchor or a signal is received from the user terminal (200) of the hazardous worker is satisfied.

[0148] That is, in one embodiment, if there is a worker who is out of the coverage of the anchor set (150), the UWB module of the worker at the boundary of the coverage of the anchor set (150) can be used as a temporary master anchor until the anchor set (150) is installed in a new location.

[0149] The embodiments of the present disclosure described above may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded on a computer-readable medium. In this case, the medium may include a magnetic medium such as a hard disk, a floppy disk, and a magnetic tape, an optical recording medium such as a CD-ROM and a DVD, a magneto-optical medium such as a floptical disk, and a hardware device specifically configured to store and execute program instructions, such as a ROM, a RAM, a flash memory, etc.

[0150] Meanwhile, the computer program may be specifically designed and constructed for the present disclosure, or may be known and available to those skilled in the computer software field. Examples of computer programs may include not only machine language code, such as that generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

[0151] The use of the term "above" and similar referential terms in the specification of this disclosure (especially in the claims) may refer to both the singular and the plural. Furthermore, if a range is described in this disclosure, it is intended that the invention encompasses individual values ​​within that range (unless otherwise stated), and is equivalent to describing each individual value within that range in the detailed description of the invention.

[0152] Unless the steps constituting the method according to the present disclosure are explicitly described in a specific order or are otherwise described in a different order, the steps may be performed in any appropriate order. The present disclosure is not necessarily limited by the order in which the steps are described. The use of all examples or exemplary terms (e.g., "for example," etc.) in this disclosure is merely intended to illustrate the present disclosure in more detail, and the scope of the present disclosure is not limited by the examples or exemplary terms unless otherwise defined by the claims. Furthermore, those skilled in the art will appreciate that various modifications, combinations, and variations can be configured according to design conditions and factors within the scope of the appended claims or their equivalents.

[0153] Therefore, the spirit of the present disclosure should not be limited to the embodiments described above, and all scopes equivalent to or equivalently modified from the following claims as well as the following claims are considered to fall within the scope of the spirit of the present disclosure.

[0154] (Explanation of symbols)

[0155] 1: Automatic risk area change system

[0156] 100: Automatic change of danger zone device

[0157] 110: Communication interface

[0158] 120: User Interface

[0159] 130: Memory

[0160] 140: Processor

[0161] 150: Anchor Set

[0162] 200: User terminal

[0163] 300: Server

[0164] 400: Network

Claims

1. A method for automatically changing a hazardous area according to movement of workers based on ultra-wide band (UWB) technology for managing the safety of multiple workers within an industrial site through a set of mobile anchors that are equipped to move within a set range from a specific industrial site for safety management, wherein at least part of each step is performed by a processor. In the above mobile anchor set, a step of receiving signals from each of the positioning tags of a plurality of workers and objects each equipped with a positioning tag, thereby obtaining position information of the plurality of workers and the object; A step of setting at least one worker among the above multiple workers as a risk worker; A step of setting a risk area within a preset distance based on the above-mentioned risk worker; A step of determining whether the other worker and object are in proximity to the dangerous worker based on the location information of the dangerous worker and the location information of the other worker and object; and A method for automatically changing a hazardous area, comprising a step of providing a notification to the hazardous worker and / or the other worker when the hazardous worker is in proximity to the other worker and object.

2. In paragraph 1, The step of obtaining location information of the plurality of workers and the object is: A method for automatically changing a hazardous area, comprising the step of converting signal information received from each of the positioning tags of the plurality of workers and the object into a three-dimensional space based on the movable anchor set based on a homography algorithm, and obtaining coordinate values of each of the positioning tags of the plurality of workers and the object derived from the three-dimensional space based on the movable anchor set.

3. In paragraph 1, The steps to set the above risk worker are: A method for automatically changing a hazardous area, comprising a step of setting a worker as a hazardous worker when it is confirmed that a worker scheduled to perform hazardous work among the plurality of workers has started work, when any worker among the plurality of workers enters the set area of work set as hazardous work, or when it is confirmed that a worker among the plurality of workers is carrying hazardous materials.

4. In paragraph 3, The step of determining whether the above other workers and objects are in proximity to the above-mentioned dangerous worker is: A method for automatically changing a risk area, comprising a step of checking the location information of the other worker and the location information of the object, and determining that at least one of the other worker and the object and the risk worker are in proximity when at least one of the other worker and the object enters the risk area.

5. In paragraph 3, The step of providing notification to the above-mentioned risk worker and / or the above-mentioned other worker is: A method for automatically changing a risk area, comprising the steps of providing an approach notification to the risk worker and the other worker when the other worker enters the risk area, and providing an approach notification to the risk worker when the object enters the risk area.

6. In paragraph 3, If the above-mentioned risk worker meets the risk zone release conditions, the step of releasing the risk zone of the risk worker is further included. The above-mentioned risk zone release conditions include a method for automatically changing a risk zone, including cases where the completion of the work of the risk worker is confirmed, the risk worker leaves the set area of the work set as a risk task, and the risk worker is not carrying a risky item.

7. In paragraph 3, A method for automatically changing a hazardous area, further comprising the step of obtaining biometric information from a biometric sensor of the above-mentioned hazardous worker.

8. In paragraph 7, A step of identifying the health and stress status of the risk worker based on the biometric information of the risk worker; and A method for automatically changing a risk area, further comprising a step of providing a notification to other workers who have entered the risk area when the health and stress status of the above-mentioned risk worker is outside the standard range.

9. In paragraph 2, A step of obtaining location information including the location, average speed, acceleration, and moving direction of the hazardous worker based on a signal from the location tag of the hazardous worker; A step of deriving the movement pattern and coordinate changes of the risk worker based on the above location information; and A method for automatically changing a risk area, further comprising a step of predicting an out-of-coverage event of the mobile anchor set based on the movement pattern and coordinate change of the risk worker.

10. In paragraph 9, If the above prediction result predicts that the risk worker will leave the coverage of the mobile anchor set, a step of setting the location tag of one of the other workers located at the coverage boundary of the mobile anchor set as a temporary anchor; and A method for automatically changing a hazardous area, further comprising the step of performing positioning by setting a positioning tag of one of the other workers located at the coverage boundary of the above-mentioned mobile anchor set as a temporary anchor, and then resetting the above-mentioned mobile anchor set.

11. Based on ultra-wide band (UWB) wireless technology, it is a device that automatically changes the risk area according to the movement of workers based on UWB technology to manage the safety of multiple workers in a specific industrial site. A set of movable anchors provided to be movable within a set range from the above-mentioned specific industrial site; memory; and comprising a processor connected to said memory and configured to execute computer-readable instructions contained in said memory; At least one processor, In the above mobile anchor set, signals are received from each of the positioning tags of the plurality of workers and the objects within the industrial site, each of which is equipped with a positioning tag, to obtain position information of the plurality of workers and the objects, At least one of the above multiple workers is set as a dangerous worker, Set the area within the preset distance based on the above-mentioned risk worker as a risk area, Based on the location information of the above-mentioned hazardous worker and the location information of the other worker and object, it is determined whether the other worker and object are in proximity to the hazardous worker, A device for automatically changing the danger zone, which is set to provide a notification to the danger worker and / or the other worker when the other worker and object and the danger worker are in proximity.

12. In paragraph 11, At least one processor, A device for automatically changing a hazardous area, which is configured to obtain position information of the plurality of workers and the object by converting signal information received from each of the positioning tags of the plurality of workers and the object into a three-dimensional space based on the movable anchor set based on a homography algorithm, and obtain coordinate values of each of the positioning tags of the plurality of workers and the object derived from the three-dimensional space based on the movable anchor set.

13. In paragraph 11, At least one processor, A device for automatically changing the risk area that is set to designate a worker as a risk worker when it is confirmed that a worker scheduled to perform risky work among the above-mentioned plurality of workers has started work, when any worker among the above-mentioned plurality of workers enters the set area of work set as risky work, or when it is confirmed that a worker among the above-mentioned plurality of workers is carrying a risky item.

14. In paragraph 13, At least one processor, A device for automatically changing a risk area, which is set to determine that at least one of the other worker and the object is in proximity to the risk worker by checking the location information of the other worker and the location information of the object, when at least one of the other worker and the object enters the risk area.

15. In paragraph 13, At least one processor, A device for automatically changing a risk area, which is set to provide an approach notification to the risk worker and the other worker when the other worker enters the risk area, and to provide an approach notification to the risk worker when the object enters the risk area.

16. In paragraph 13, At least one processor, If the above-mentioned risk worker meets the risk zone release conditions, it is further set to release the risk zone of the above-mentioned risk worker. The above-mentioned risk zone release conditions include a risk zone automatic change device including cases where the completion of the work of the risk worker is confirmed, the risk worker leaves the set area of the work set as risky work, and the risk worker is not carrying any hazardous materials.

17. In paragraph 13, At least one processor, A device for automatically changing a hazardous area further configured to obtain biometric information from the biometric sensor of the above-mentioned hazardous worker.

18. In paragraph 17, At least one processor, Based on the biometric information of the above-mentioned risk worker, the health and stress status of the above-mentioned risk worker is identified, A device for automatically changing the risk area is further set to provide a notification to other workers who have entered the risk area when the health and stress status of the above-mentioned risk worker is outside the standard range.

19. In paragraph 12, At least one processor, Obtaining location information including the location, average speed, acceleration, and moving direction of the hazardous worker based on a signal from the location tag of the hazardous worker; Based on the above location information, the movement pattern and coordinate changes of the above-mentioned risk worker are derived, A risk area automatic change device further configured to predict an out-of-coverage event of the mobile anchor set based on the movement pattern and coordinate change of the above risk worker.

20. In paragraph 19, At least one processor, If the above prediction result predicts that the risk worker will leave the coverage of the mobile anchor set, the location tag of one of the other workers located at the coverage boundary of the mobile anchor set is set as a temporary anchor, A device for automatically changing the hazardous area, which is further configured to perform positioning by setting the positioning tag of one of the other workers located at the coverage boundary of the above mobile anchor set as a temporary anchor, and then reset the above mobile anchor set.

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