KR102294813B1 - Building resolution localization system - Google Patents

Abstract

A location information system according to an embodiment includes a signal receiving unit for receiving a GNSS signal; and a determination unit that inputs to a model for classifying indoors and outdoors using the received GNSS signal and determines location information including indoors or outdoors through the received GNSS signal.

Description

Building unit precision location information system {BUILDING RESOLUTION LOCALIZATION SYSTEM}

The description below relates to positioning technology.

Elderly wandering detectors and missing child prevention location trackers that require suspended location information in emergency situations have been commercialized and are appearing in the market. However, as a technique used to track location information, in the case of GNSS, an error increases indoors, and an error of up to 800 m may occur. It is necessary to distinguish between outdoor and low-reliability indoors. Various methods such as Wi-Fi fingerprinting (increasing the cost of collecting and managing a huge amount of DB) and Bluetooth beacon (installing and managing additional devices) have been studied to solve the case of inaccurate GNSS. At this time, pre-work and costs for Indoor Positioning (exactly where it is located) must be taken.

In addition, GPS, which is a representative GNSS, consumes significantly higher energy than other sensors. This energy consumption problem is a big problem for portable devices that use batteries. Accordingly, there is a need for a technology capable of conserving a battery by reducing the frequency of use of the GPS by using other peripheral sensors without impairing the accuracy of location information.

When entering indoors, using the sudden change in signal strength of the GNSS satellite, indoor/outdoor is divided, and the location information divided using the GNSS signal is determined to be indoor, and the location information is dropped. A method and system can be provided for preventing the display of false information.

A method and system for determining whether a received GNSS signal is indoors or outdoors by inputting a GNSS signal into a model for classifying indoors and outdoors may be provided.

The location information system includes: a signal receiving unit for receiving a GNSS signal; and a determination unit that inputs to a model for classifying indoors and outdoors using the received GNSS signal and determines location information including indoors or outdoors through the received GNSS signal.

The determination unit configures a machine learning-based model for classifying indoors and outdoors, and by inputting and learning the CNR intensity of the received GNSS signal to the configured model, location information is provided indoors or outdoors through the received GNSS signal. It can be judged whether

When it is determined that the electronic device is indoors using the received GNSS signal, the determination unit may detect a movement or change of the electronic device through a barometric pressure sensor or an acceleration sensor to determine whether to receive the GNSS signal.

The determination unit detects a change in the electronic device through the barometric pressure sensor, and when a change in the electronic device is detected through the barometric pressure sensor, determines whether the electronic device is staying at a preset height or more, and determines that it is staying at the preset height or more Accordingly, the GNSS signal may not be received.

The determination unit may detect a movement of the electronic device through an acceleration sensor, and receive a GNSS signal when the detected movement of the electronic device moves more than a preset reference.

The determination unit may determine whether to display the CNR intensity of the received GNSS signal on the display according to the determined location information as the CNR intensity of the received GNSS signal is input to the configured model and learned.

When the determined location information is indoors, the determination unit may drop the location information corresponding to the room and not display it on the display, and may display the previously displayed location information of the building unit.

The determination unit may collect location data of the electronic device according to determining whether the received GNSS signal is indoors or outdoors.

A method performed by a location information system comprising: receiving a GNSS signal; and inputting to a model for classifying indoors and outdoors using the received GNSS signal, and determining location information including indoors or outdoors through the received GNSS signal.

In an urgent situation, it is possible to minimize difficulties in investigation and lifesaving due to incorrect GNSS location information.

By compensating for the weakness of GNSS, which consumes a lot of energy, it can extend battery life and increase portability.

When the period of the GNSS location information is short, it is possible to estimate the location of the building unit.

1 is an exemplary diagram illustrating building-level positioning in a location information system according to an embodiment.
2 is a block diagram illustrating a configuration of a location information system according to an embodiment.
3 is a flowchart illustrating a method of providing location information in a location information system according to an embodiment.
4 is a graph illustrating indoor and outdoor GNSS CNR in a location information system according to an embodiment.
5 is a diagram for explaining a process of dropping location data collected in a location information system according to an exemplary embodiment.
6 is a diagram for explaining a process of classifying an outdoor or an indoor in the location information system according to an exemplary embodiment.
7 is an exemplary view for explaining a process for minimizing the use of GPS in the location information system according to an embodiment.
8 is an exemplary diagram for explaining an indoor position error in the location information system according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

In the embodiment, the elderly wandering and lost child problems can be solved by approaching the building-level (which building in which building) positioning and determining the location information. Specifically, when retrieving location information through GNSS by using the sudden change in signal strength of GNSS satellites when entering the room, the location information is dropped by classifying indoor/outdoor areas. ) to explain the technology to prevent incorrect information from being displayed as being located in another building. At this time, it is a task that is processed when retrieving GNSS location information, and installation of additional equipment is not required. In addition, energy consumption can be reduced by minimizing unnecessary and battery-consuming GNSS use (when not leaving the building) by utilizing an acceleration sensor and a barometric pressure sensor.

FIG. 2 is a block diagram illustrating a configuration of a location information system according to an embodiment, and FIG. 3 is a flowchart illustrating a method of providing location information in the location information system according to an embodiment.

The processor included in the location information system 100 may include a signal receiving unit 210 and a determining unit 220 . Such a processor and components of the processor may control the location information system to perform steps 310 to 320 included in the method for providing location information of FIG. 3 . In this case, the processor and the components of the processor may be implemented to execute instructions according to the code of the operating system included in the memory and the code of at least one program. Here, the components of the processor may be expressions of different functions performed by the processor according to a control command provided by the program code stored in the location information system 100 .

The processor may load into memory the program code stored in the file of the program for the method of providing location information. For example, when a program is executed in the location information system 100 , the processor may control the location information system to load a program code from a file of the program into the memory according to the control of the operating system.

In step 310 , the signal receiver 210 may receive a GNSS signal.

In step 320, the determination unit 220 may determine whether the received GNSS signal is indoors or outdoors by inputting the received GNSS signal into a model for classifying indoors and outdoors. The determination unit 220 configures a machine learning-based model for classifying indoors and outdoors, and inputs the CNR intensity of the received GNSS signal to the configured model to learn, so whether the location information is indoor or outdoor through the received GNSS signal can judge

When it is determined that the electronic device is indoors using the received GNSS signal, the determination unit 220 may detect a movement or change of the electronic device through a barometric pressure sensor or an acceleration sensor to determine whether to receive the GNSS signal. The determination unit 220 detects a change in the electronic device through the barometric pressure sensor, and when a change in the electronic device is detected through the barometric pressure sensor, determines whether the electronic device is staying at a preset height or higher, and determines that it is staying at a preset height or higher Accordingly, the GNSS signal may not be received. The determination unit 220 may detect the movement of the electronic device through the acceleration sensor, and when the detected movement of the electronic device moves more than a preset reference, it may receive a GNSS signal.

The determination unit 220 may determine whether to display on the display according to the determined location information as the CNR strength of the received GNSS signal is input to the configured model and trained. For example, when the determined location information is outdoors, the determination unit 220 may display a location value corresponding to the outdoors on the display. In this case, the determination unit 220 may determine the location information periodically or aperiodically. When it is continuously determined that the location information is outdoors, the determination unit 220 may continuously display a location value corresponding to the outdoors on the display. When the determined location information is indoors, the determination unit 220 may drop location information corresponding to the room and not display it on the display. The determination unit 220 may collect location data of the electronic device according to determining whether the received GNSS signal is indoors or outdoors.

4 is a graph illustrating indoor and outdoor GNSS CNR in a location information system according to an embodiment.

GPS, which is a representative GNSS, consumes significantly higher energy than other sensors. This energy consumption problem is a big problem for portable electronic devices that use batteries. Accordingly, in the embodiment, the battery can be saved by reducing the frequency of use of the GPS by using other surrounding sensors without impairing the accuracy of the location information.

Table 1: Sensor energy consumption

The location information system may be operated in an electronic device. For example, the location information system may provide a location information service through an application operated in an electronic device. Alternatively, the location information system may be operated through a location information service-based platform in the electronic device. For example, an electronic device, a smart phone, a mobile phone, a navigation system, a computer, a laptop computer, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Portable Multimedia Player), a tablet PC, a game console, There are wearable devices, internet of things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, and the like.

As shown in FIG. 4 , the location information system may use a sudden change in the strength of a GNSS (satellite) signal when entering the room. It is a graph showing indoor and outdoor GNSS CNR according to each electronic device.

When the location information system calls up location information through a GNSS signal, it is possible to prevent incorrect information from being displayed by classifying indoors or outdoors, and dropping location information when indoors. When retrieving location information through GNSS signals, additional equipment installation is not required for processing. In addition, the location information system can reduce energy consumption by minimizing the use of GNSS by utilizing an acceleration sensor and a barometric pressure sensor. In this case, sensor information based on various sensors may be used in addition to the acceleration sensor and the barometric pressure sensor.

5 is a diagram for explaining a process of dropping location data collected in a location information system according to an exemplary embodiment.

The location information system can distinguish indoors or outdoors by using the CNR strength of GNSS signals through machine learning. At this time, when the location information is obtained through the GNSS signal, the reliability of the corresponding location data is lowered as the GNSS signal is determined to be indoors. Accordingly, as the location information corresponding to the GNSS signal is detected indoors, the location information system may drop the detected signal value into the room. The location information system may drop location data collected indoors. Additionally, if it is known that it is present or staying within the building, there is no need to collect GNSS signals.

6 is a diagram for explaining a process of classifying an outdoor or an indoor in the location information system according to an exemplary embodiment.

GNSS signal reception sensitivity is different for each electronic device, and reception sensitivity is different for each terrain and building. The location information system may set a threshold value for each electronic device, and may determine location information through a GNSS signal based on the set threshold value. In addition, the location information system can construct a model for classifying indoors and outdoors by machine learning. The location information system can classify indoors or outdoors by inputting a GNSS signal to the configured model and learning it.

7 is an exemplary view for explaining a process for minimizing the use of GPS in the location information system according to an embodiment.

When it is determined that the electronic device is indoors using the received GNSS signal, the location information system detects a movement or change of the electronic device using a barometric pressure sensor and an acceleration sensor to determine whether to receive the GNSS signal. The location information system detects a change in the electronic device through the barometric pressure sensor, and when a change in the electronic device is detected through the barometric pressure sensor, determines whether the electronic device is staying at a preset height or higher, and determines that it is staying at a preset height or higher. It may not receive a GNSS signal. The location information system may detect the movement of the electronic device through the acceleration sensor, and receive a GNSS signal when the detected movement of the electronic device moves by more than a preset reference. As the location information system determines that the GNSS signal is indoors, it is possible to reduce the reception of unnecessary GPS signals and increase the accuracy by using the barometric pressure sensor and the acceleration sensor in order to minimize the use of GPS, which consumes a lot of battery.

For example, when moving to a high floor through a stair mill elevator, a GNSS signal may not be received when a sudden change in air pressure is sensed through an air pressure sensor and stays on the second floor or higher. In addition, when no motion is detected, the GNSS signal may be received only when the motion is sensed through the acceleration sensor and the motion is moved over a predetermined standard.

8 is an exemplary diagram for explaining an indoor position error in a location information system according to an embodiment.

Other companies use GPS, Wi-Fi, cell-tower, etc. to increase the accuracy of GPS location information, but in the case of indoors, an error occurs large enough to display other buildings.

An operation of a service for determining location information according to an embodiment will be compared with another service. For example, Wi-Fi war driving (Google, Apple) collects Wi-Fi DB and determines the location by cosine similarity, which requires a lot of time and effort to collect DB. Even Wi-Fi SSIDs change over time, requiring periodic DB updates.

On the other hand, the location information system according to the embodiment does not require DB collection in advance, so there is no cost required for DB collection, update, maintenance, and management.

In addition, when trying to find a lost child through a GPS-based service in an emergency situation, if the child is indoors, it may point to the wrong location and interfere with location tracking. However, according to another embodiment, if indoors or outdoors at the time of location data collection are classified through a location information system, location tracking is possible with the most recent outdoor location or building unit accuracy.

The location information system according to an embodiment can minimize difficulties in investigation and lifesaving due to incorrect GNSS location information in an urgent situation. In addition, it is possible to improve portability by extending battery life by supplementing the weakness of GNSS, which consumes a lot of energy. In addition, when the GNSS location information cycle is short, it is possible to estimate the location of a building (building) unit.

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

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. may be embodied in The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (9)

A location information system comprising:
a signal receiver for receiving a GNSS signal; and
A determination unit that inputs to a model for classifying indoors and outdoors using the received GNSS signal and determines location information of a building unit including indoors or outdoors through the received GNSS signal
including,
The model is trained to determine whether location information is indoor or outdoor from the GNSS signal by inputting the CNR intensity of the GNSS signal as input data to classify indoors and outdoors,
The judging unit,
Constructing a model based on machine learning for classifying indoors and outdoors, and inputting the CNR intensity of the received GNSS signal to the configured model to learn, determining whether the location information is indoors or outdoors through the received GNSS signal, When it is determined that the electronic device is indoors using the received GNSS signal, a movement or change of the electronic device is sensed through a barometric pressure sensor or an acceleration sensor to determine whether to receive a GNSS signal, and the electronic device is operated through the barometric pressure sensor. When a change is detected, and a change in the electronic device is detected through the barometric pressure sensor, it is determined whether the user is staying at a preset height or higher, and as it is determined that the electronic device is staying at a preset height or higher, the GNSS signal is not received, the acceleration sensor Detects the movement of the electronic device through collects, determines whether to display on the display according to the determined location information, and periodically, when the determined location information is indoors, does not receive a GNSS signal, and the location corresponding to the indoor including an error By dropping information, it is not displayed on the display and is displayed as the location information of the building unit that was previously displayed.
geolocation system. delete delete delete delete delete delete delete A method performed by a location information system, comprising:
receiving a GNSS signal; and
Inputting to a model for classifying indoors and outdoors using the received GNSS signal and determining location information of a building unit including indoors or outdoors through the received GNSS signal
including,
The model is trained to determine whether location information is indoor or outdoor from the GNSS signal by inputting the CNR intensity of the GNSS signal as input data to classify indoors and outdoors,
The determining step is
Constructing a model based on machine learning for classifying indoors and outdoors, and inputting the CNR intensity of the received GNSS signal to the configured model to learn, determining whether the location information is indoors or outdoors through the received GNSS signal, When it is determined that the electronic device is indoors using the received GNSS signal, a movement or change of the electronic device is sensed through a barometric pressure sensor or an acceleration sensor to determine whether to receive a GNSS signal, and the electronic device is operated through the barometric pressure sensor. When a change is detected, and a change in the electronic device is detected through the barometric pressure sensor, it is determined whether the user is staying at a preset height or higher, and as it is determined that the electronic device is staying at a preset height or higher, the GNSS signal is not received, the acceleration sensor Detects the movement of the electronic device through collects, determines whether to display on the display according to the determined location information, and periodically, when the determined location information is indoors, does not receive a GNSS signal, and the location corresponding to the indoor including an error A step of dropping information and not displaying it on the display and displaying it as the location information of the building unit that was previously displayed
How to include.

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