KR102436192B1 - Stream automatic transfer monitoring and control device when transmitting digital broadcasting signals - Google Patents

Abstract

When an error occurs in the main line among the data stream transmission lines during broadcast signal transmission of the next-generation broadcasting system, a multi-stream smart changer (MSC) that transmits data by switching to a spare line is monitored for errors in the main line It provides a technology to build a more seamless broadcast signal transmission environment by predicting the occurrence through an artificial intelligence algorithm and performing a switchover before an error occurs according to the predicted result. To this end, according to an embodiment of the present invention, an apparatus for monitoring and controlling automatic stream switching when transmitting a digital broadcasting signal is a transmission unit for a data stream transmitted from a digital broadcasting system, and a main line which is an IP-based UHD broadcasting stream transmission unit. And, between a spare line including at least a 5G communication network, the transmission error of the data stream of the automatic changeover device is connected to a plurality of automatic switchover devices that automatically switch between the main line and the spare line according to the error of the main line and the network traffic an error detection unit that detects; a sensing data receiver configured to receive sensing data that senses environmental information adjacent to a location where the automatic switching device is installed; and an error prediction unit estimating the possibility of occurrence of a transmission error according to environmental information based on the sensing data received by the sensing data receiving unit and the transmission error data detected by the error detecting unit.

Description

Stream automatic switching monitoring and control device when transmitting digital broadcasting signals

The present invention relates to an automatic switching technology for a data stream transmission line when transmitting a broadcast signal in a next-generation broadcasting system. Specifically, the data stream transmission line is composed of a main line and a spare line, and when transmitting a data stream, the main line When an error occurs, it monitors the multi-stream smart changer (MSC) that transmits data by switching to a spare line, predicts the occurrence of an error in the main line through an artificial intelligence algorithm, and generates an error according to the predicted result It relates to a technology for establishing a more seamless broadcast signal transmission environment by performing all switching.

Recently, as 5G networks are being built around the world, problems of connectivity, delay reduction, and large capacity are being solved. As a result, it is a next-generation service for next-generation services such as telemedicine, driverless cars, IoT terminals, ultra-high-definition UHD streaming, and AR/VR. System devices are being developed and released in earnest.

In particular, in order to provide a seamless service for immersive media contents such as 4K/8K UHD streaming and AR/VR, as a major feature of the 5G network configuration, the edge (service application and computing performance) is forwardly placed near the terminal. Multi-stream smart changer related technology in conjunction with MEC (Mobile Edge Computing) to provide ultra-low latency response and reduce backbone network traffic is essential.

The reality is that the high-definition 4K/8K UHD network and large-capacity streaming technology of broadcast services using such an IP network environment is highly likely to cause problems such as packet drop loss errors depending on the network environment in long-distance transmission.

Accordingly, when the system equipment fails due to transmission errors in the network for 4K/8K UHD streaming service and the broadcasting service network, the issue of seamless stream switching to respond to problems such as reliability and broadcasting accidents arises. To this end, when transmitting a data stream such as a broadcast signal, a main line, which is the main transmission network, and a spare line for transmitting data by switching when an error occurs in the main line are constructed. Various communication networks such as IP packet network for the main line and 5G network for the spare line are used for broadcasting signals.

In such a switching technology, for example, as in Korean Patent Application Laid-Open No. 10-2018-0071993, in order to minimize the effect of a broadcasting accident during automatic switching, packets constituting data are tracked, and when switching to a spare line, Techniques that make it seamless are being posted.

However, these technologies ultimately provide a completely seamless data stream transmission environment in performing a complex process such as the above-described packet tracking in that, in the event of an error in data stream transmission through the main line, switching is performed to the spare line. Since it is difficult to construct, it is not possible to predict the occurrence of the error, and in particular, the probability of occurrence of a sufficiently predictable error in the environment where the switching device is installed, there is a problem that the possibility of such error occurrence cannot be lowered when constructing the switching system in the future. being pointed out

Accordingly, the present invention provides a method for predicting an error of a main line using previously accumulated data in a switching system when transmitting a broadcast signal of a digital broadcasting system, but accurately predicting the possibility of an error occurring according to an environment in which a switching device is installed. An object of the present invention is to provide a technology capable of constructing a broadcasting signal transmission system with a more seamless and improved quality compared to the switchover after occurrence.

In addition, the present invention establishes a more seamless data transmission environment by controlling the switching device in advance based on the predicted probability of error occurrence, and at the same time, improves the construction environment of the switching device according to the prediction of the possibility of error occurrence, thereby generating an error. Another purpose is to provide technology that can minimize the possibility of

In order to achieve the above objects, according to an embodiment of the present invention, an apparatus for monitoring and controlling automatic stream switching when transmitting a digital broadcasting signal is a transmission means for a data stream transmitted from a digital broadcasting system, and an IP-based UHD broadcasting stream The automatic switching device is connected to a plurality of automatic switching devices that automatically switch between the main line and the spare line according to the error of the main line and the network traffic between the main line as a transmission means and the spare line including at least a 5G communication network. an error detection unit for detecting a transmission error of the data stream; a sensing data receiver configured to receive sensing data that senses environmental information adjacent to the location where the automatic switching device is installed; and an error prediction unit that predicts the possibility of occurrence of a transmission error according to environmental information based on the sensing data received by the sensing data receiving unit and the transmission error data detected by the error sensing unit.

The error prediction unit learns a correlation function between the environmental information and the probability of occurrence of a transmission error through a preset machine learning algorithm, and includes a timing of occurrence of a transmission error detected from a plurality of automatic switching devices and environmental information of the plurality of automatic switching devices. It is preferable to learn the correlation function using .

The error prediction unit, when learning the correlation function, derives an influence weight of the environmental information when a transmission error occurs based on a ratio of the frequency of the environmental information generated at the time of occurrence of a plurality of transmission errors, and the derived influence It is preferable to learn the correlation function by repeatedly applying the weighting process.

The environment information may include building information, communication line information, communication network base station information, floating population information, average congestion population information, and weather information related to the possibility of occurrence of errors disposed around the automatic switching device.

It is preferable to further include a control requesting unit for transmitting a request signal for requesting whether to switch over to the control terminal of the automatic changeover device using the probability of occurrence of a transmission error predicted by the error predicting unit and the collected environment information.

It is also possible to further include a switching device control unit configured to automatically switch over the automatic switching device using the probability of occurrence of a transmission error predicted by the error prediction unit and the collected environmental information.

The switching device control unit controls the automatic switching device at a point in time before a preset time from a point in time when the probability of occurrence of a transmission error predicted according to the change value of the environment information exceeds a preset threshold probability to be between the main line and the spare line. It is desirable to control the transfer of

According to the present invention described above, the error prediction unit collects information on the environment in which the automatic changeover device is installed as well as the network amount of the automatic changeover device at the time of the corresponding error, along with data on whether an error has occurred on the main line, A relationship will be established regarding the possibility of error occurrence according to environmental information.

Thereby, the transmission error on the main line in various environments is advanced through the construction of a correlation function and artificial intelligence learning on it, so that the possibility of error occurrence on the main line according to the environment can be predicted with high accuracy.

In addition, by automatically controlling the changeover of the switchover device or notifying it accordingly, a more seamless data stream transmission environment can be built compared to the switchover after an error has occurred, so that the quality of the broadcasting system can be improved, and automatic switchover in the future When the device is installed in consideration of the environment, it is possible to establish a broadcast signal transmission environment that minimizes the possibility of error occurrence.

1 is a configuration example of a data transmission environment in which an apparatus for monitoring and controlling automatic stream switching when transmitting a digital broadcasting signal according to an embodiment of the present invention is constructed;
2 is a schematic block diagram of an apparatus for monitoring and controlling automatic stream switching when transmitting a digital broadcasting signal according to an embodiment of the present invention;
3 is a view for explaining an example in which automatic switching is implemented according to an embodiment of the present invention;
4 is a diagram illustrating an environment in which a correlation function is learned according to an implementation of an embodiment of the present invention;
5 is an example of a data set of environmental information collected according to an implementation of an embodiment of the present invention.
6 is a view for explaining the functional performance of the correlation function according to the implementation of an embodiment of the present invention.
7 is an example of a screen output to a manager terminal according to an embodiment of the present invention.
8 is a view for explaining an example in which an automatic switching device is controlled according to an embodiment of the present invention;
9 is an example of an internal configuration of a computing device according to an embodiment of the present invention.

Hereinafter, various embodiments and/or aspects are disclosed with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth to provide a thorough understanding of one or more aspects. However, it will also be recognized by one of ordinary skill in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings set forth in detail certain illustrative aspects of one or more aspects. These aspects are illustrative, however, and some of the various methods in principles of various aspects may be employed, and the descriptions set forth are intended to include all such aspects and their equivalents.

As used herein, “embodiment”, “example”, “aspect”, “exemplary”, etc. may not be construed as an advantage or advantage in any aspect or design described above over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. should be understood as not

Also, terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are those commonly understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in an embodiment of the present invention, an ideal or excessively formal meaning is not interpreted as

1 is an example of the configuration of a data transmission environment in which a stream automatic switching monitoring and control device is built during digital broadcasting signal transmission according to an embodiment of the present invention, and FIG. 2 is a digital broadcasting signal transmission according to an embodiment of the present invention. A schematic block diagram of a stream automatic switchover monitoring and control device of Accordingly, a diagram illustrating an environment in which a correlation function is learned, FIG. 5 is an example of a data set of environment information collected according to an implementation of an embodiment of the present invention, and FIG. 6 is a correlation function according to an implementation of an embodiment of the present invention. 7 is an example of a screen output to an administrator terminal according to an embodiment of the present invention, and FIG. 8 is an example in which an automatic switching device is controlled according to an embodiment of the present invention. It is a drawing for explanation.

Referring to the above drawings together, first, as shown in FIG. 1, an apparatus for monitoring and controlling automatic stream switching when a digital broadcast signal is transmitted according to an embodiment of the present invention (10, hereinafter referred to as an apparatus of the present invention) is, after the broadcast signal generated by the stream providing device 20, which is the subject of generating broadcast content, is transmitted through the IP network 30 for broadcasting, the main line 41 and the spare line for broadcasting It is connected to the automatic switching device 40 of the present invention that controls the transmission to 42 and transmits a broadcast signal to either the main line 41 or the spare line 42 according to the function of the automatic switching device 40. When controlling the data stream to be transmitted, monitoring is performed. The transmitted signal is processed by the streaming service generator 50 so that users use the streaming service by using the corresponding signal.

The automatic switching device (40, MSC, Multi-stream Smart Changer) is an input signal to the streaming service generator 50, and is a terminal to which a switching technology for an IP network stream of a previously developed and supplied UHD service is applied. In this case, the switching technique is a technique for switching between the main line 41 and the spare line 42 as described above as two networks (lines) through which two inputs, ie, data streams, are transmitted. In this case, the input of the main line 41 is When the user uses the service by simply switching to the spare line 42 when a failure of

At this time, the IP network stream switching technology of the UHD service causes various problems in the actual field due to increasingly high-quality and high-speed streaming transmission, and the complexity of the transmission protocol. Accordingly, there is a need for a technology that can quickly respond in the event of a failure of a wired network or equipment using a high-speed 5G mobile network.

At this time, in the case of the existing multi-stream switching equipment that performs switching when a failure occurs, frequent switching is performed because only the packet loss of the input stream is measured at the reference point and the switching is performed immediately when the packet loss threshold set by the service provider is reached. This may result in equipment lifespan or minimal delay. In addition, additional errors that may occur in the case of a convergence system in which broadcasting and communication are combined should also be considered. Therefore, data analysis and prediction of AI-based multi-stream switching equipment capable of more stable switching through prediction and analysis of packet loss before and after the reference point is essential.

The device 10 of the present invention is connected to the automatic changeover device 40 as described above, and between the operation of the automatic changeover device 40 and the element on which the switch is performed according to an error in the main line 41 or network traffic. It is a technology to respond to the failure in advance by analyzing the correlation of

Specifically, referring to FIG. 2 , the device 10 of the present invention is characterized in that it includes an error detecting unit 11 , a sensing data receiving unit 12 , and an error predicting unit 13 as key components, and additionally It may include a control request unit 14 or a switching device control unit 15 .

First, the error detection unit 11 is connected to the automatic changeover device 40 described above, detects a transmission error of the data stream of the automatic changeover device 40 , and also detects whether the automatic changeover device 40 has switched due to this.

As described above, a plurality of automatic switching devices 40 of the present invention may be installed for each transmission line, and preferably, near the stream providing device 20 for transmitting content from an entity providing streaming services and disaster services. It is installed in the IP network 30 to receive a data stream such as a broadcast signal and transmit the data stream through the main line 41 or the spare line 42 .

In the present invention, the stream providing apparatus 20 refers to a terminal that transmits a stream generated by a stream providing entity. Also, the IP network 30 is a network network that transmits the transmitted stream to the automatic switching device 40 , which may mean the same communication network as the main line 41 . As described above, the spare line 42 is configured of, for example, a 5G communication network, and means a network network provided as a spare data transmission network other than the IP network.

The device 10 of the present invention is connected to a plurality of automatic switching devices 40 as shown in FIG. 2 , and performs a function of detecting a transmission error of each automatic switching device 40 . At this time, the data on the detected transmission error may include identification information of the automatic switching device 40 in which the transmission error occurred, the time of the error occurrence, information on the type of the error, and the like. The data on the transmission error may be generated when a transmission error occurs and switching to the spare line 42 is made by the automatic switching device 40 .

Meanwhile, in the present invention, a data stream, for example, a stream constituting an ATSC 3.0-based IP packet, refers to an encoded transmission stream including audio and video data generated by a content provider such as a broadcaster. The corresponding data stream includes clock information including time information obtained from Precision Time Protocol (PTP), Global Positioning System (GPS), and Network Time Protocol (NTP), and PES for service data. (Packetized ES) format BMFF (ISO base media file format) stream, LLS (Low Level Signaling)/SLS (Service Layer Signaling) information including mapping information of services included in the corresponding BMFF stream, and other ATSC 3.0 formats are matched DASH/ROUTE and MMT data may be included.

On the other hand, the sensing data receiving unit 12 performs a function of receiving sensing data that senses environmental information around the location where the automatic changeover device 40 is installed. To this end, the sensing data receiving unit 12 is configured to include not only a communication module for receiving data, but also a plurality of environmental sensors for acquiring corresponding data, or a plurality of environmental sensors installed near the automatic changeover device 40 or corresponding In the case of an external terminal pre-installed in order to receive the environment information of the area, it may be configured to include a series of devices for receiving data therefrom.

In the environmental information received in the present invention, building information related to the possibility of an error occurring around the automatic changeover device 40, communication line information, base station information for a communication network, floating population or traffic information, average congestion population information, and weather information are included. It is preferable to include

In the present invention, the main line 41 may be a wired/wireless line, and factors affecting the degree to which an error occurs in the corresponding line may be the target of collecting environmental information in the present invention. For example, high-rise buildings that interfere with wireless network transmission, communication lines that can interfere with each other, base stations related to the traffic of transmission data, floating population and traffic information, and weather information that may interfere with communication signals may be collected. there will be This is to measure and detect a transmission error by physically affecting the main line 41 or affecting network traffic in real time.

The error prediction unit 13 is configured to generate a transmission error possibility according to the environment information based on the sensing data received from the sensing data receiving unit 12 , that is, data on the environment information and the transmission error data detected by the error detection unit 11 . function to predict

For example, based on the sensing and detection results of the sensing data receiving unit 12 and the error detecting unit 11, a transmission error occurs in an environment with excessive traffic or a transmission error occurs in a very bad weather. , by extracting the factors causing the transmission error, and analyzing the influence of the factors on each automatic changeover device 40, the possibility of the transmission error occurring accordingly based on the environmental information in the specific automatic switching device 40 It performs a predictive function.

At this time, when predicting the possibility of transmission error, in the present invention, based on the environmental information generation factor for the area where the automatic changeover device 40 is installed, that is, based on the above-mentioned high-rise buildings, population conditions, traffic conditions, network traffic patterns, etc. , may function to predict the possibility for each device so that similar results can be derived among devices having similar environmental information generation factors of each automatic switching device 40 .

In order to perform this function, the error prediction unit 13 learns the correlation function between the environmental information and the probability of occurrence of a transmission error through a preset machine learning algorithm, but generates transmission errors detected from a plurality of automatic switching devices 40 . A correlation function can be learned by using a viewpoint and environment information of a plurality of automatic switching devices.

More specifically, when learning the correlation function, based on the frequency ratio of the environmental information generated at the time of occurrence of multiple transmission errors, the influence weight of the environmental information when a transmission error occurs, and the derived influence weight By repeatedly applying the application process, the correlation function can be learned.

In other words, in the case where a transmission error occurs, the frequency is indicated by the existence of a large number of high-rise buildings, when specific weather is observed at the time when the transmission error occurs, when the population distribution shows a specific value at the time when the transmission error occurs By checking the frequency or influence of environmental information showing a specific value, such as cases, and listing for each environmental information how the environmental information affects the occurrence of transmission errors based on this, the relative magnitude of the influence is derived. Then, based on this, a weight for the occurrence of transmission error is derived for each environment information. Then, based on the derived weights, the correlation function is learned by applying machine learning that continuously updates the correlation function.

As shown in FIGS. 4 to 6 , the environment information 402 includes, as a header, the time when the switching is made, that is, when a transmission error occurs, and the timing identification information of the generated automatic switching device 40 as a header, The data set 403 is configured by structuring environmental information such as humidity, rainfall, and surrounding buildings. That is, the environment information at the time when a transmission error occurs and the changeover is made is collected, and the value analyzed whether the environmental information has an effect on the transmission error as described above is configured as the data set 403 . .

As shown in FIG. 4 , the environmental information may include information on the direction, distance, number of floors of a high-rise building, and the like, information on surrounding roads, average traffic, and population as the above-described fixed factors. In the case of surrounding roads and average traffic volume and population, it can be used as information for estimating network traffic that can be generated by vehicles and population, and the information of high-rise buildings is not only the physical impact on the communication network, but also the high-rise buildings. It can be used as information for estimating traffic information. Weather information may be used as information for predicting an impact on a communication network. The environmental information on the occurrence time of the transmission error may be used as information for predicting the frequency and possibility of the transmission error occurring in a specific time period.

Each of the environmental information used as described above may change with each other depending on the installation location of the automatic changeover device 40 , and the relative weight of influence on the occurrence of the transmission error may also vary depending on the installation location of the automatic changeover device 40 . . Accordingly, as described above, the correlation function may also be applied differently depending on the installation location of the automatic switching device 40 .

For example, the correlation function may be configured to group the automatic switching device 40 based on the arrangement of surrounding buildings, and to learn differently for each group. Under this setting, as shown in FIG. 6 , the correlation function 131 (Perror) using other environmental information factors as input values E1, E2, and E3 can be learned according to other environmental information factors.

Using the correlation function learned by the error prediction unit 13, the device 10 of the present invention transmits a plurality of automatic switching devices 40 through the environment information 400 as shown in FIG. Errors can be predicted in advance, and accordingly, by controlling according to the result of predicting the occurrence of transmission errors between the main line 41 and the spare line 42 through the predictive control method, a failure is actually generated and a service delay occurs. can be prevented in advance.

On the other hand, since the error prediction unit 13 needs to detect transmission errors of the plurality of automatic switching devices 40 and use environmental information, it can be connected to the plurality of automatic switching devices 40 as shown in FIG. 2 . . At this time, in order to perform monitoring of a plurality of automatic switching devices 40 , the device 10 of the present invention is composed of a plurality of layers, and for example, a plurality of devices 10 is a server (not shown) at the top. is connected to and monitors the automatic switching device 40 connected to each device 10 , and the server may manage learning of the correlation function by using information collected from each device 10 .

Meanwhile, in order to substantially implement the above-described predictive control, the present invention may further include the control request unit 14 as an additional configuration. The control requesting unit 14 transmits a request signal for requesting whether to change over to the control terminal of the automatic changeover device 40 by using the probability of occurrence of a transmission error predicted by the error predicting unit {(!3) and the collected environmental information. perform the function

When the correlation function is managed by the error predicting unit 13 or the management server as described above, for example, when receiving specific environmental information, the error predicting unit uses a correlation function applicable to the corresponding automatic changeover device 40 . In (13), the probability of occurrence of a transmission error under the environmental value of the corresponding automatic changeover device 40 is predicted. If a transmission error is highly likely to occur under specific environmental information, it is transmitted to the manager terminal in advance under the control of the manager terminal. , it is possible to control the automatic switching device 40 to perform switching in advance through the control terminal.

For example, as in the screen 100 shown in FIG. 7 , if the probability that a transmission error will occur at a specific point in time is predicted to exceed a preset probability (for example, 95%), a certain time before (for example, For example, 5 minutes), the warning notification shown in FIG. 7 is transmitted to the manager terminal so that the automatic changeover device 40 performs switching to the spare line 42 in advance under the control of the manager terminal.

This can be advantageously operated in the environment of the automatic changeover device 40 that performs switching when an error occurs, in the environment of the automatic changeover device 40 in which a large delay or service failure does not occur even if the changeover is performed when an error occurs. That is, even if predictive control is not automatically performed, if there is no significant effect, it is possible to manually perform switchover by granting control authority to the manager terminal.

On the other hand, unlike the above example, if the service quality is greatly affected when the switchover is performed after a failure, that is, if the traffic is in an environment with a large average amount of traffic and a large impact may occur when a service failure occurs, the switchover is automatically performed in advance. It would be advantageous to do so.

To this end, in the present invention, in addition to the above-described control request unit 14 , the switching device control unit 15 may be additionally included in the device 10 . The switching device control unit 15 performs a function of automatically switching the automatic switching device 40 using the probability of occurrence of a transmission error predicted by the error prediction unit !3 and the collected environmental information.

This can be explained as shown in FIG. 8 . That is, based on the environmental information collected from the surrounding environment data sensor of the automatic changeover device 40, the probability of occurrence of a transmission error predicted according to the change value of the environmental information exceeds a preset threshold probability (for example, 95%) Switching between the main line and the spare line is controlled by controlling the automatic switching device 40 at a point in time before a preset time (eg, 5 minutes) from the point in time.

Through this, in an environment where large-scale traffic exists or important data (for example, a disaster broadcasting signal) must be transmitted at a specific point in time, if a transmission error is predicted to occur at a specific point in time according to the prediction of the change value of environmental information, the manager It is to secure the safety of the network in advance by automatically controlling the switching device 40 without the need for the control of the terminal.

9 illustrates an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, descriptions of unnecessary embodiments that overlap with those of FIGS. 1 to 8 will be omitted. do it with

9, the computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, and an input/output subsystem ( It may include at least an I/O subsystem) 11400 , a power circuit 11500 , and a communication circuit 11600 . In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, a high-speed random access memory, a magnetic disk, an SRAM, a DRAM, a ROM, a flash memory, or a non-volatile memory. have. The memory 11200 may include a software module, an instruction set, or other various data required for the operation of the computing device 10000 .

In this case, access to the memory 11200 from other components such as the processor 11100 or the peripheral device interface 11300 may be controlled by the processor 11100 .

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute a software module or an instruction set stored in the memory 11200 to perform various functions for the computing device 10000 and process data.

The input/output subsystem 11400 may couple various input/output peripherals to the peripheral interface 11300 . For example, the input/output subsystem 11400 may include a controller for coupling peripheral devices such as a monitor, keyboard, mouse, printer, or a touch screen or sensor as needed to the peripheral interface 11300 . According to another aspect, input/output peripherals may be coupled to peripheral interface 11300 without going through input/output subsystem 11400 .

The power circuit 11500 may supply power to all or some of the components of the terminal. For example, the power circuit 11500 may include a power management system, one or more power sources such as batteries or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator, or a power source. It may include any other components for creation, management, and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, if necessary, the communication circuit 11600 may include an RF circuit to transmit and receive an RF signal, also known as an electromagnetic signal, to enable communication with other computing devices.

The embodiment of FIG. 9 is only an example of the computing device 10000, and the computing device 11000 omits some components shown in FIG. 9 or further includes additional components not shown in FIG. 9, or 2 It may have a configuration or arrangement that combines two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. 9 , and various communication methods (WiFi, 3G, LTE) are provided in the communication circuit 1160 . , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented in hardware, software, or a combination of both hardware and software including an integrated circuit specialized for one or more signal processing or applications.

Methods according to an embodiment of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in a computer-readable medium. In particular, the program according to the present embodiment may be configured as a PC-based program or an application dedicated to a mobile terminal. The application to which the present invention is applied may be installed in the user terminal through a file provided by the file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of the user terminal.

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, the 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), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), 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. 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 may 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.

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 permanently or temporarily embody in The software may be distributed over networked computing devices, 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 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. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. 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 (7)

A means for transmitting a data stream transmitted from a digital broadcasting system, between a main line, which is an IP-based UHD broadcast stream transmission means, and a spare line including at least a 5G communication network, automatically according to an error of the main line and network traffic, the main line an error detecting unit connected to a plurality of automatic switching devices that switch between the automatic switching device and the spare line to detect a transmission error of the data stream of the automatic switching device;
a sensing data receiver configured to receive sensing data that senses environmental information adjacent to the location where the automatic switching device is installed; and
and an error prediction unit for predicting the possibility of occurrence of a transmission error according to environmental information based on the sensing data received by the sensing data receiving unit and the transmission error data detected by the error detection unit;
The environment information is
It includes building information, communication line information, base station information for communication networks, floating population information, average congestion population information and weather information related to the possibility of an error disposed around the automatic switching device,
a switching device control unit configured to automatically switch over the automatic switching device using the probability of occurrence of a transmission error predicted by the error prediction unit and the collected environmental information;
The switching device control unit,
Controlling the switching between the main line and the spare line by controlling the automatic switching device at a point in time before a preset time from a point in time when the probability of occurrence of a transmission error predicted according to the change value of the environment information exceeds a preset threshold probability A device for monitoring and controlling automatic stream switching of a digital broadcasting system characterized by its features.
The method of claim 1,
The error prediction unit,
A correlation function between the environmental information and the probability of occurrence of a transmission error is learned through a preset machine learning algorithm, and the time of occurrence of the transmission error detected from a plurality of automatic switching devices and environment information of the plurality of automatic switching devices are used to learn the correlation function. A device for monitoring and controlling automatic stream switching of a digital broadcasting system, characterized in that it learns a correlation function.
3. The method of claim 2,
The error prediction unit,
When learning the correlation function, the process of deriving the influence weight of the environmental information when a transmission error occurs based on the frequency ratio of the environmental information generated at the time of occurrence of a plurality of transmission errors, and applying the derived influence weight The apparatus for monitoring and controlling automatic stream switching of a digital broadcasting system, characterized in that by repeatedly applying to learn the correlation function.
delete The method of claim 1,
and a control request unit for transmitting a request signal for requesting whether to switch over to the control terminal of the automatic changeover device using the probability of occurrence of a transmission error predicted by the error predicting unit and the collected environmental information. Stream automatic switching monitoring and control device in digital broadcasting system.
delete delete

Images