KR102667107B1 - Computing system of location monitoring using bluetooth for manpower management at construction site, and method of the same - Google Patents

Abstract

Various embodiments relate to a computing system and method of location monitoring using Bluetooth for personnel management at a construction site. Based on Bluetooth signals received from beacons owned by users at the construction site, a server monitors the location at the construction site. It may be configured to estimate the positions of each of the beacons within. According to various embodiments, personnel at a construction site can be managed using the locations of users within the construction site.

Description

Computing system and method for location monitoring using Bluetooth for personnel management at construction sites {COMPUTING SYSTEM OF LOCATION MONITORING USING BLUETOOTH FOR MANPOWER MANAGEMENT AT CONSTRUCTION SITE, AND METHOD OF THE SAME}

Various embodiments relate to a computing system and method of location monitoring using Bluetooth for personnel management at a construction site.

Location recognition using wireless communication refers to a technology that determines the relative location of a user's electronic device based on public wireless communication facilities installed in an indoor space. Typically, electronic devices determine their current location directly through communication with public wireless communication facilities. This requires a lot of computation on the electronic device. This results in expensive, high-power designs for electronic devices.

Various embodiments provide a computing system and method for location monitoring using Bluetooth for personnel management at a construction site.

A computing system according to various embodiments includes beacons owned by users at a construction site, each configured to transmit Bluetooth signals, and based on the Bluetooth signals, the locations of the beacons within the construction site. Each may include a server configured to estimate.

A method of a computing system according to various embodiments includes the steps of beacons owned by users at a construction site transmitting Bluetooth signals, and based on the Bluetooth signals, a server controlling the beacons within the construction site. It may include the step of estimating each location.

According to various embodiments, the server may estimate the locations of each user based on Bluetooth signals received from beacons owned by the users. Because of this, even if beacons are designed to be low-cost and low-power, the server can effectively estimate the location of users. At this time, the locations of users are not calculated using a pin-point method, but can be estimated using a spatial approach using probability maps. Accordingly, not only do the estimated locations exhibit high reliability, but they can also be estimated with significantly fewer operations compared to algorithms using triangulation or fingerprinting.

1 is a diagram schematically illustrating a computing system according to various embodiments.
FIG. 2 is a diagram schematically illustrating a method of a computing system according to various embodiments.
FIG. 3 is a diagram illustrating the internal configuration of a scanner according to various embodiments.
FIG. 4 is a diagram illustrating operation procedures of a scanner according to various embodiments.
FIG. 5 is a diagram illustrating the internal configuration of a repeater according to various embodiments.
FIG. 6 is a diagram illustrating operation procedures of a repeater according to various embodiments.
FIG. 7 is a diagram illustrating a probability map for a beacon according to various embodiments.
Figure 8 is a diagram showing the internal configuration of a repeater according to various embodiments.
FIG. 9 is a diagram illustrating server operation procedures according to various embodiments.

Hereinafter, various embodiments of the present disclosure are described with reference to the attached drawings.

FIG. 1 is a diagram schematically illustrating a computing system 100 according to various embodiments.

Referring to FIG. 1, the computing system 100 is for location monitoring using Bluetooth for personnel management at the construction site (S), and includes a plurality of beacons 110 and a plurality of scanners 120. ), at least one repeater 130, and a server 140.

Beacons 110 may be owned by users of the construction site S, for example, workers. Additionally, the beacons 110 are short-range wireless communication devices based on the Bluetooth (BLE) protocol and can each transmit Bluetooth signals. Since there are a large number of users at the construction site (S) and there is a high possibility that the beacons 110 will be damaged, the beacons 110 may be designed to be low-cost and low-power to be suitable for the construction site (S).

The scanners 120 may each be installed at the construction site (S). Here, the scanners 120 may be individually installed on structures within the construction site (S). And, the scanners 120 can collect Bluetooth signals from the beacons 110. At this time, address information for each of the beacons 110, for example, MAC (media access control) addresses, may be registered in advance in the scanners 120. Additionally, location information of the corresponding scanner 120 may be registered in advance for each scanner 120. Through this, the scanners 120 can identify the beacons 110 using pre-registered address information. For example, when at least one beacon 110 exists within a predetermined distance from the scanner 120, each scanner 120 collects a Bluetooth signal from the beacon 110 and uses the beacon 110. can be identified.

The repeater 130 may communicate with the scanners 120 by wire or wirelessly and collect information about the beacons 110 from the scanners 120. Specifically, the repeater 130 receives information about the beacon 110 identified in the scanner 120, such as address information and a received signal strength indicator (RSSI), from each scanner 120, and additionally Location information of the corresponding scanner 120 can also be received. And, based on the information, the repeater 130 can generate probability maps for each user within the construction site (S). At this time, each probability map is for each beacon 110 identified by each scanner 120, and may be generated for a pair of the scanner 120 and the beacon 110.

The server 140 can estimate the locations of each user within the construction site (S) based on probability maps. According to one embodiment, the server 140 may communicate with the repeater 130 by wire or wirelessly to obtain probability maps from the repeater 130. According to another embodiment, the repeater 130 is integrated into the server 140, so that the server 140 can even perform the role of the repeater 130.

FIG. 2 is a diagram schematically illustrating a method of the computing system 100 according to various embodiments.

Referring to FIG. 2, in step 210, address information for each of the beacons 110 may be stored in advance in the scanners 120. Additionally, each scanner 120 may have location information of the corresponding scanner 120 stored in advance. Afterwards, in step 220, the scanners 120 may receive Bluetooth signals from the beacons 110. In response, in step 230, the scanners 120 may identify the beacons 110 using pre-registered address information. For example, when at least one beacon 110 exists within a predetermined distance from the scanner 120, each scanner 120 receives a Bluetooth signal from the beacon 110 and uses the beacon 110. can be identified.

Next, in step 240, the repeater 130 may collect information about the beacons 110 from the scanners 120. Specifically, the repeater 130 receives information about the beacon 110 identified in the corresponding scanner 120, such as address information and received signal strength, from each scanner 120 as beacon information, and additionally receives the corresponding scanner 120 Location information can also be received. Through this, in step 250, the repeater 130 can generate probability maps for users within the construction site (S) based on the information. At this time, each probability map is for each beacon 110 identified by each scanner 120, and may be generated for a pair of the scanner 120 and the beacon 110.

Next, at step 260, server 140 may obtain probability maps. At this time, when there are a plurality of repeaters 130, the server 140 can obtain probability maps from the repeaters 130. Accordingly, in step 270, the server 140 may estimate the locations of each user within the construction site (S) based on the probability maps. At this time, the server 140 can synthesize probability maps to estimate the locations of users within the construction site (S).

FIG. 3 is a diagram illustrating the internal configuration of the scanner 120 according to various embodiments.

Referring to FIG. 3 , the scanner 120 may include a communication module 310, a memory 320, and a processor 330. In some embodiments, at least one other component may be added to scanner 120. In some embodiments, at least two of the components of scanner 120 may be implemented as one integrated circuit.

The communication module 310 can communicate with an external device in the scanner 120. The communication module 310 may establish a communication channel between the scanner 120 and an external device and communicate with the external device through the communication channel. Here, the external device may include a beacon 110 and a repeater 130. The communication module 310 may include at least one of a wireless communication module or a wired communication module. The wireless communication module may include a short-range communication module based on the Bluetooth protocol for communicating with the beacon 110. The wireless communication module may further include a long-distance communication module for communicating with an external device through a wireless network. For example, the network may include at least one of a cellular network, the Internet, or a computer network such as a local area network (LAN) or a wide area network (WAN). The wired communication module is connected to an external device by wire and can communicate by wire.

Memory 320 may store various data used by at least one component of scanner 120. For example, the memory 320 may include at least one of volatile memory and non-volatile memory. Data may include at least one program and input or output data related thereto. According to various embodiments, the memory 320 may store address information of each of the beacons 110 and current location information of the scanner 120.

The processor 330 may execute a program in the memory 320 to control at least one component of the scanner 120. Through this, the processor 330 can process data or perform calculations. At this time, the processor 140 may execute instructions stored in the memory 320. According to various embodiments, the processor 330 may receive a Bluetooth signal from at least one beacon 110 through the communication module 310. In response, the processor 330 may identify at least one beacon 110 and transmit beacon information and current location information about the at least one beacon 110 to the repeater 130.

FIG. 4 is a diagram illustrating operating procedures of the scanner 120 according to various embodiments.

Referring to FIG. 4, the scanner 120 may store address information of the beacons 110 and current location information of the scanner 120 in step 410. Specifically, address information of each of the beacons 110 and current location information of the scanner 120 may be stored in the memory 320 .

Next, the scanner 120 may receive a Bluetooth signal from at least one beacon 110 in step 420. Specifically, the processor 330 may receive a Bluetooth signal from at least one beacon 110 through the communication module 310. At this time, the Bluetooth signal may include address information of the corresponding beacon 110.

Next, the scanner 120 may identify at least one beacon 110 in step 430. Specifically, the processor 330 may identify at least one beacon 110 using pre-stored address information. That is, the processor 330 may identify at least one beacon 110 by comparing the address information of the Bluetooth signal with pre-stored address information.

Next, the scanner 120 may measure the received signal strength for at least one beacon 110 in step 440. Specifically, the processor 330 may measure the received signal strength of a Bluetooth signal in response to at least one beacon 110.

Next, in step 450, the scanner 120 may transmit beacon information about at least one beacon 110 and current location information of the scanner 120 to the repeater 130. Specifically, the processor 330 may transmit beacon information and location information to the repeater 130 through the communication module 310. At this time, the beacon information may include address information and received signal strength of at least one beacon 110.

FIG. 5 is a diagram illustrating the internal configuration of the repeater 130 according to various embodiments.

Referring to FIG. 5 , the repeater 130 may include a communication module 510, a memory 520, and a processor 530. In some embodiments, at least one other component may be added to repeater 130. In some embodiments, at least two of the components of repeater 130 may be implemented as one integrated circuit.

The communication module 510 can communicate with an external device in the repeater 130. The communication module 510 may establish a communication channel between the repeater 130 and an external device and perform communication with the external device through the communication channel. Here, the external device may include a scanner 120 and a server 130. The communication module 510 may include at least one of a wireless communication module or a wired communication module. The wireless communication module may further include a long-distance communication module for communicating with an external device through a wireless network. For example, the network may include at least one of a cellular network, the Internet, or a computer network such as a local area network (LAN) or a wide area network (WAN). The wired communication module is connected to an external device by wire and can communicate by wire.

Memory 520 may store various data used by at least one component of repeater 130. For example, the memory 520 may include at least one of volatile memory and non-volatile memory. Data may include at least one program and input or output data related thereto.

The processor 530 may execute a program in the memory 520 to control at least one component of the scanner 120. Through this, the processor 530 can process data or perform calculations. At this time, the processor 140 may execute instructions stored in the memory 520. According to various embodiments, the processor 530 receives beacon information about at least one beacon 110 and the current location information of the scanner 120 from each scanner 120 through each communication module 510. can do. And, the processor 530 may generate a probability map for each of the at least one beacon 110 based on the information. At this time, the probability map is for each beacon 110 identified by each scanner 120, and may be generated for a pair of the scanner 120 and the beacon 110. Additionally, the processor 530 may transmit the probability map to the server 140 through the communication module 510.

FIG. 6 is a diagram illustrating operating procedures of the repeater 130 according to various embodiments. FIG. 7 is a diagram illustrating a probability map for the beacon 110 according to various embodiments.

Referring to FIG. 6 , the repeater 130 may receive beacon information about at least one beacon 110 and the current location information of the scanner 120 from each scanner 120 in step 610. Specifically, the processor 530 may receive beacon information about at least one beacon 110 and current location information of the corresponding scanner 120 through the communication module 510. At this time, the beacon information may include address information and received signal strength of at least one beacon 110.

Next, the repeater 130 may calculate the distance between the scanner 120 and the beacon 110 in step 620. Specifically, the processor 530 may calculate the distance from the scanner 120 to the beacon 110 using the received signal strength of the beacon 110. According to one embodiment, the processor 530 may calculate the distance from the scanner 120 to the beacon 110 through a path loss (eg, Log-Distance path loss) model.

Next, the repeater 130 may estimate noise between the scanner 120 and the beacon 110 in step 630. Specifically, the processor 530 may estimate noise according to the location information of the scanner 120 within the construction site (S).

Next, the repeater 130 may generate a probability map for the beacon 110 in step 640. At this time, a probability map is generated for the pair of the scanner 120 and the beacon 110, and the probability map may represent an area in which the beacon 110 can exist. Specifically, the processor 530 may express the location of the scanner 120 on a probability map based on the current location information of the scanner 120. Afterwards, the processor 530 may express an area in which the beacon 110 can exist on a probability map based on the distance between the scanner 120 and the beacon 110. At this time, the processor 530 may reflect noise between the scanner 120 and the beacon 110. For example, a probability map can be generated as shown in Figure 7.

Next, the repeater 130 may transmit a probability map for the beacon 110 to the server 140 in step 650. Specifically, the processor 530 may encode the probability map into binary and then transmit the probability map to the server 140 through the communication module 510. At this time, the processor 530 may transmit a probability map along with the address information of the beacon 110.

FIG. 8 is a diagram illustrating the internal configuration of the repeater 130 according to various embodiments.

Referring to FIG. 8, the server 140 may include at least one of an input module 810, an output module 820, a communication module 830, a memory 840, or a processor 850. In some embodiments, at least one of the components of server 140 may be omitted and at least one other component may be added. In some embodiments, at least two of the components of server 140 may be implemented as one integrated circuit.

The input module 810 may input a signal to be used in at least one component of the server 140. The input module 810 may include at least one of an input device configured to allow an operator to directly input a signal to the server 140, or a sensor device configured to generate a signal by detecting changes in the surroundings. For example, the input device may include at least one of a microphone, mouse, or keyboard. In some embodiments, the input device may include at least one of touch circuitry configured to detect a touch or a sensor circuit configured to measure the intensity of force generated by the touch.

The output module 820 may output information to the outside of the server 140. The output module 820 may include at least one of a display device configured to visually output information and an audio output device capable of outputting information as an audio signal. For example, the display device may include at least one of a display, a hologram device, or a projector. As an example, the display device may be implemented as a touch screen by being assembled with at least one of the touch circuit or the sensor circuit of the input module 810. For example, an audio output device may include at least one of a speaker or a receiver.

The communication module 830 can communicate with external devices in the server 140. The communication module 830 may establish a communication channel between the server 140 and an external device and perform communication with the external device through the communication channel. Here, the external device may include a repeater 130. The communication module 830 may include at least one of a wireless communication module or a wired communication module. The wireless communication module may further include a long-distance communication module for communicating with an external device through a wireless network. For example, the network may include at least one of a cellular network, the Internet, or a computer network such as a local area network (LAN) or a wide area network (WAN). The wired communication module is connected to an external device by wire and can communicate by wire.

Memory 840 may store various data used by at least one component of server 140. For example, the memory 840 may include at least one of volatile memory and non-volatile memory. Data may include at least one program and input or output data related thereto. The program may be stored in the memory 840 as software including at least one command, and may include at least one of an operating system, middleware, or an application.

The processor 850 may execute a program in the memory 840 to control at least one component of the server 140. Through this, the processor 850 can process data or perform calculations. At this time, the processor 850 may execute instructions stored in the memory 840. According to various embodiments, the processor 850 may receive probability maps for the beacons 110 from at least one repeater 130 through the communication module 830. At this time, the processor 850 may detect a plurality of probability maps for each beacon 110. Additionally, the processor 850 may synthesize probability maps for each beacon 110 and generate a synthesized probability map. Additionally, the processor 850 includes a location estimation model 860 and can estimate the location of each beacon 110 from the synthesized probability map through the location estimation model 860. Here, the location estimation model 860 may include a positioning model based on a convolutional neural network (CNN). In this way, the processor 850 can estimate the locations of each user within the construction site (S). Accordingly, the number of people at the construction site (S) can be managed using the locations of users within the construction site (S).

FIG. 9 is a diagram illustrating operating procedures of the server 140 according to various embodiments.

Referring to FIG. 9, the server 140 may receive a plurality of probability maps for each beacon 110 from at least one repeater 130 in step 910. Specifically, the processor 850 may receive probability maps for the beacon 110 through the communication module 830. At this time, each probability map may be received together with the address information of the beacon 110. Accordingly, the processor 850 may collect probability maps for each beacon 110 corresponding to the same address information.

Next, the server 140 may synthesize probability maps for each beacon 110 in step 920. Specifically, the processor 850 may synthesize probability maps by taking matrix sums for the probability maps. Through this, the processor 850 can generate a synthesized probability map to be mapped into real space.

Next, the server 140 may estimate the location of each beacon 110 in step 930. Specifically, the processor 850 may estimate the location of each beacon 110 from the synthesized probability map through the location estimation model 860. In this way, the processor 850 can estimate the locations of each user within the construction site (S). Accordingly, the number of people at the construction site (S) can be managed using the locations of users within the construction site (S).

According to various embodiments, the server 140 may estimate the locations of each user based on Bluetooth signals received from beacons 110 owned by the users. Because of this, even if the beacons 110 are designed to be low-cost and low-power, the server 140 can effectively estimate the locations of users. At this time, the locations of users are not calculated using a pin-point method, but can be estimated using a spatial approach using probability maps. Accordingly, not only do the estimated locations exhibit high reliability, but they can also be estimated with significantly fewer operations compared to algorithms using triangulation or fingerprinting.

The computing system 100 according to various embodiments is owned by users of the construction site (S) and is configured to transmit Bluetooth signals, respectively, and based on the beacons 110 and Bluetooth signals, the construction site ( S) may include a server 140 configured to estimate the positions of each of the beacons 110 within.

According to various embodiments, the computing system 100 is installed at each construction site (S), stores each location information and each address information of the beacons 110, and is configured to receive Bluetooth signals. It may further include scanners 120.

According to various embodiments, when a Bluetooth signal is received from at least one of the beacons 110, each scanner 120 configures beacon information about the beacon 110 that transmitted the Bluetooth signal based on the Bluetooth signal. and may be configured to transmit location information of the scanner 120 along with beacon information.

According to various embodiments, the computing system 100 may further include at least one repeater 130 connected to each of the scanners 120.

According to various embodiments, when beacon information and location information of the scanner 120 are received from the scanner 120, the repeater 130 uses the beacon information and the location information of the scanner 120 to transmit the beacon 110. It can be configured to generate a probability map for.

According to various embodiments, the beacon information may include address information of the beacon 110 and received signal strength for a Bluetooth signal.

According to various embodiments, the repeater 130 calculates the distance between the scanner 120 and the beacon 110 using the received signal strength, and uses the location information and distance of the scanner 120 to map the probability. Can be configured to generate.

According to various embodiments, in the probability map, the location of the scanner 120 is expressed based on the location information of the scanner 120, and the distance of the beacon 110 is reflected by reflecting the distance to the location of the scanner 120. A region of possible existence can be expressed.

According to various embodiments, the server 140 obtains a plurality of probability maps for each beacon 110 from the repeater 130, synthesizes the probability maps, and estimates the location for each beacon 110. It can be configured.

The method of the computing system 100 according to various embodiments includes the steps of the beacons 110 transmitting Bluetooth signals, and based on the Bluetooth signals, the server 140 configures the beacon ( 110) may include the step of estimating each of the locations.

According to various embodiments, the computing system 100 is installed at each construction site (S), stores each location information and each address information of the beacons 110, and is configured to receive Bluetooth signals. It may further include scanners 120.

According to various embodiments, when a Bluetooth signal is received from at least one of the beacons 110, each scanner 120 collects beacon information about the beacon 110 that transmitted the Bluetooth signal based on the Bluetooth signal. It may further include configuring and the scanner 120 transmitting location information of the scanner 120 along with beacon information.

According to various embodiments, the computing system 100 may further include at least one repeater 130 connected to each of the scanners 120.

According to various embodiments, when beacon information and location information of the scanner 120 are received from the scanner 120, the repeater 130 uses the beacon information and the location information of the scanner 120 to create a beacon ( 110) may further include generating a probability map.

According to various embodiments, the beacon information may include address information of the beacon 110 and received signal strength for a Bluetooth signal.

According to various embodiments, the step of generating a probability map includes the repeater 130 calculating the distance between the scanner 120 and the beacon 110 using the received signal strength, and the repeater 130 using the received signal strength to calculate the distance between the scanner 120 and the beacon 110. A step of generating a probability map may be further included using the location information and distance of (120).

According to various embodiments, in the probability map, the location of the scanner 120 is expressed based on the location information of the scanner 120, and the distance of the beacon 110 is reflected by reflecting the distance to the location of the scanner 120. A region of possible existence can be expressed.

According to various embodiments, the step of estimating the positions of each of the beacons 110 includes the server 140 acquiring a plurality of probability maps for each beacon 110 from the repeater 130, and the server 140 ) may include the step of synthesizing probability maps to estimate the location of each beacon 110.

The device described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the devices and components described in the embodiments include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), and a programmable logic unit (PLU). It may be implemented using one or more general-purpose or special-purpose computers, such as a logic unit, microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. The software and/or data may be embodied in any type of machine, component, physical device, computer storage medium or device for the purpose of being interpreted by or providing instructions or data to the processing device. there is. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Methods according to various embodiments may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. At this time, the medium may continuously store a computer executable program, or may temporarily store it for execution or download. In addition, the medium may be a variety of recording or storage means in the form of a single or several pieces of hardware combined. It is not limited to a medium directly connected to a computer system and may be distributed over a network. Examples of media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, And there may be something configured to store program instructions, including ROM, RAM, flash memory, etc. Additionally, examples of other media include recording or storage media managed by app stores that distribute applications, sites or servers that supply or distribute various other software, etc.

The various embodiments of this document and the terms used herein are not intended to limit the technology described in this document to a specific embodiment, and should be understood to include various changes, equivalents, and/or replacements of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar components. Singular expressions may include plural expressions, unless the context clearly indicates otherwise. In this document, expressions such as “A or B”, “at least one of A and/or B”, “A, B or C” or “at least one of A, B and/or C” refer to all of the items listed together. Possible combinations may be included. Expressions such as "first", "second", "first" or "second" can modify the corresponding components regardless of order or importance, and are only used to distinguish one component from another. The components are not limited. When a component (e.g. a first) component is said to be "connected (functionally or communicatively)" or "connected" to another (e.g. a second) component, it means that the component is connected to the other component. It may be connected directly to a component or may be connected through another component (e.g., a third component).

The term “module” used in this document includes a unit comprised of hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit, for example. A module may be an integrated part, a minimum unit that performs one or more functions, or a part thereof. For example, a module may be comprised of an application-specific integrated circuit (ASIC).

According to various embodiments, each component (eg, module or program) of the described components may include a single entity or a plurality of entities. According to various embodiments, one or more of the components or steps described above may be omitted, or one or more other components or steps may be added. Alternatively or additionally, multiple components (eg, modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component of the plurality of components prior to integration. According to various embodiments, steps performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the steps may be executed in a different order, omitted, or , or one or more other steps may be added.

Claims (15)

In computing systems,
Beacons owned by users at the construction site and each configured to transmit Bluetooth signals;
Each is installed at the construction site, stores location information and address information of each of the beacons, and when a Bluetooth signal is received from at least one of the beacons, the Bluetooth signal is transmitted based on the Bluetooth signal. Scanners each configured to configure beacon information for a beacon and transmit the location information together with the beacon information;
When connected to each of the scanners and receiving the beacon information and the location information from each of the scanners, using the beacon information and the location information, a plurality of probability maps for the beacons corresponding to each of the scanners at least one repeater configured to generate and
A server configured to obtain the probability maps for the beacon from the repeater, synthesize the probability maps, and estimate the location of the beacon within the construction site.
Including,
The scanner compares the stored address information with the address information included in the Bluetooth signal to identify the beacon that transmitted the Bluetooth signal, then measures the received signal strength of the Bluetooth signal in response to the identified beacon, and measures the received signal strength of the beacon. Transmitting the beacon information and the location information, including address information and the received signal strength of the Bluetooth signal, to the repeater,
The repeater generates the probability map for the beacon identified by the scanner for the pair of the scanner and the beacon, and uses the received signal strength of the Bluetooth signal to generate the probability map for the scanner through a path loss model. Calculate the distance between the scanner and the beacon, estimate noise between the scanner and the beacon according to the location information of the scanner, and based on the location information of the scanner, the location of the scanner is expressed, and the distance and noise between the scanner and the beacon are calculated. Based on this, the probability map representing the possible existence area of the beacon is transmitted to the server along with the address information of the beacon,
The server synthesizes probability maps collected corresponding to the same address information based on the probability map received from the repeater and the address information of the beacon through matrix sum, and then estimates the location of the beacon from the synthesized probability map. doing,
computing system.
delete delete delete delete delete delete In the method of the computing system,
Each of the beacons owned by users at the construction site transmits Bluetooth signals;
Each of the scanners installed at the construction site and storing location information and address information of each of the beacons transmits the Bluetooth signal based on a Bluetooth signal received from at least one of the beacons. configuring beacon information for each and transmitting the location information together with the beacon information;
When at least one repeater connected to each of the scanners receives the beacon information and the location information from each of the scanners, it uses the beacon information and the location information to connect to the beacons corresponding to each of the scanners. generating a plurality of probability maps; and
A server obtaining the probability maps for the beacon from the repeater, synthesizing the probability maps, and estimating the location of the beacon within the construction site.
Including,
The scanner compares the stored address information with the address information included in the Bluetooth signal to identify the beacon that transmitted the Bluetooth signal, then measures the received signal strength of the Bluetooth signal in response to the identified beacon, and measures the received signal strength of the beacon. Transmitting the beacon information and the location information, including address information and the received signal strength of the Bluetooth signal, to the repeater,
The repeater generates the probability map for the beacon identified by the scanner for the pair of the scanner and the beacon, and uses the received signal strength of the Bluetooth signal to generate the probability map for the scanner through a path loss model. Calculate the distance between the scanner and the beacon, estimate noise between the scanner and the beacon according to the location information of the scanner, and based on the location information of the scanner, the location of the scanner is expressed, and the distance and noise between the scanner and the beacon are calculated. Based on this, the probability map representing the possible existence area of the beacon is transmitted to the server along with the address information of the beacon,
The server synthesizes probability maps collected corresponding to the same address information based on the probability map received from the repeater and the address information of the beacon through matrix sum, and then estimates the location of the beacon from the synthesized probability map. doing,
method.
delete delete delete delete delete delete delete