KR20220085160A - Cloud-based disaster detection method and disaster analysis system that performing the same - Google Patents

Abstract

The present invention relates to a disaster analysis system, comprising: a sensing device for acquiring sensing data from at least one sensor attached to a communication facility; a cloud server for storing sensing data acquired through the sensing device; and the sensing and a disaster analysis device that compares data with pre-stored disaster reference data, determines whether a disaster occurs in the communication facility, and transmits a notification according to whether a disaster occurs to a manager terminal.
According to the present invention, it is placed in a space where monitoring is neglected due to extremely rare human visits or movement is not easy. damage can be minimized.

Description

CLOUD-BASED DISASTER DETECTION METHOD AND DISASTER ANALYSIS SYSTEM THAT PERFORMING THE SAME

The present invention relates to a cloud-based disaster detection method and a disaster analysis system for performing the same. In more detail, it relates to a method capable of detecting a disaster occurring in electrical and telecommunication-related facilities and a disaster analysis system for performing the same.

Infrastructure facilities in the field of electricity/communications such as switchboards and base stations that exist nationwide exist in areas where people do not live. In general, in the case of a fire in a major facility, the deterioration of the facility itself and the resulting overload are the main factors in the occurrence of a fire. Because it is laid out, it will eventually lead to a fire.

As such, when a disaster such as fire or flooding occurs in the communication facility, the manager cannot quickly check it, and the failure of the communication facility causes power outages and communication failures of electronic devices connected thereto, resulting in enormous damage.

In the case of most current communication control systems, the manager periodically monitors data collected from CCTVs, fire detectors, etc., determines whether there is a fire in the communication facility, and performs follow-up measures accordingly. However, since the number of communication control systems that require periodic management compared to the number of management personnel is large, there is a limit to meticulously monitoring all communication facilities.

The description underlying the invention has been prepared to facilitate understanding of the invention. It should not be construed as an admission that the matters described in the background technology of the invention exist as prior art.

In order to solve the above difficulties, it is required to develop a method for quickly detecting a disaster occurring in a communication facility, and to take a preemptive action before a disaster, and an apparatus and system for performing the same.

Accordingly, the inventors of the present invention have attempted to develop a method for automatically detecting a disaster in a communication facility by acquiring sensing data in real time through various sensors attached to the communication facility and analyzing it.

As a result, the inventors of the present invention analyze the sensing data time-series to determine whether a disaster has occurred more accurately, collect and analyze sensing data from communication facilities placed in a similar environment, and send it to the manager before a disaster occurs. We have come to develop a device and system that can provide notifications.

The problems of the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

In order to solve the above problems, there is provided a disaster analysis system according to an embodiment of the present invention. The system includes a sensing device for acquiring sensing data from at least one sensor attached to a communication facility, a cloud server for storing the sensing data acquired through the sensing device, and by comparing the sensing data with pre-stored disaster reference data, and a disaster analysis device for determining whether a disaster has occurred in the communication facility and transmitting a notification according to whether a disaster has occurred to a manager terminal.

Specific details of other embodiments are included in the detailed description and drawings.

The present invention is arranged in a space where monitoring is neglected due to extremely rare human visits or movement is not easy, and automatically detects whether a disaster has occurred in communication facilities located in the blind spot of disaster detection, thereby preventing damage caused by communication facility failures. can be minimized

In addition, the present invention can accurately predict the occurrence of a disaster in a communication facility in advance by learning the sensing data before and after the disaster. In particular, since the occurrence of a disaster can be predicted in advance, the failure rate can be lowered compared to the operating period of communication facilities and communication control systems, and operational efficiency can be improved.

In addition, according to the present invention, by storing the sensing data collected from the communication facility sensing device in the cloud server, it is possible to prevent overload of the disaster analysis device even if the number of sensors increases.

The effect according to the present invention is not limited by the contents exemplified above, and more various effects are included in the present invention.

1 and 2 are schematic diagrams of a cloud-based disaster detection system according to an embodiment of the present invention.
3 is a block diagram illustrating a configuration of a disaster detection apparatus according to an embodiment of the present invention.
4 is a detailed flowchart of a disaster detection method according to an embodiment of the present invention.

Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention pertains It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. In connection with the description of the drawings, like reference numerals may be used for like components.

In this document, expressions such as "have," "may have," "includes," or "may include" refer to the presence of a corresponding characteristic (eg, a numerical value, function, operation, or component such as a part). and does not exclude the presence of additional features.

In this document, expressions such as “A or B,” “at least one of A or/and B,” or “one or more of A or/and B” may include all possible combinations of the items listed together. . For example, "A or B," "at least one of A and B," or "at least one of A or B" means (1) includes at least one A, (2) includes at least one B; Or (3) it may refer to all cases including both at least one A and at least one B.

As used herein, expressions such as "first," "second," "first," or "second," may modify various elements, regardless of order and/or importance, and refer to one element. It is used only to distinguish it from other components, and does not limit the components. For example, the first user equipment and the second user equipment may represent different user equipment regardless of order or importance. For example, without departing from the scope of rights described in this document, the first component may be named as the second component, and similarly, the second component may also be renamed as the first component.

A component (eg, a first component) is "coupled with/to (operatively or communicatively)" to another component (eg, a second component); When referring to "connected to", it will be understood that the certain element may be directly connected to the other element or may be connected through another element (eg, a third element). On the other hand, when it is said that a component (eg, a first component) is "directly connected" or "directly connected" to another component (eg, a second component), the component and the It may be understood that other components (eg, a third component) do not exist between other components.

The expression "configured to (or configured to)" as used in this document, depending on the context, for example, "suitable for," "having the capacity to ," "designed to," "adapted to," "made to," or "capable of." The term “configured (or configured to)” may not necessarily mean only “specifically designed to” in hardware. Instead, in some circumstances, the expression “a device configured to” may mean that the device is “capable of” with other devices or parts. For example, the phrase "a processor configured (or configured to perform) A, B, and C" refers to a dedicated processor (eg, an embedded processor) for performing the corresponding operations, or by executing one or more software programs stored in a memory device. , may mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

Terms used in this document are only used to describe specific embodiments, and may not be intended to limit the scope of other embodiments. The singular expression may include the plural expression unless the context clearly dictates otherwise. Terms used herein, including technical or scientific terms, may have the same meanings as commonly understood by one of ordinary skill in the art described in this document. Among the terms used in this document, terms defined in a general dictionary may be interpreted with the same or similar meaning as the meaning in the context of the related art, and unless explicitly defined in this document, ideal or excessively formal meanings is not interpreted as In some cases, even terms defined in this document cannot be construed to exclude embodiments of this document.

Each feature of the various embodiments of the present invention may be partially or wholly combined or combined with each other, and as those skilled in the art will fully understand, technically various interlocking and driving are possible, and each embodiment may be implemented independently of each other, It may be possible to implement together in a related relationship.

For clarity of interpretation of the present specification, terms used herein will be defined below.

1 and 2 are schematic diagrams of a cloud-based disaster detection system according to an embodiment of the present invention.

1 and 2 , the disaster detection system 1000 may include a plurality of communication facility detection devices 100 , a cloud server 200 , and a disaster analysis device 300 .

The communication facility detection device 100 is disposed in communication facilities 10 installed throughout the country to distribute electricity or communication lines to each home, such as power plants and substations, to detect the operating environment of the communication facility 10 . Here, the sense that the sensing device 100 is disposed in the communication facility 10 means that the sensing device 100 is attached to a housing constituting the communication facility 10 or is located in an area adjacent to the communication facility 10 ( 100) can be understood as being disposed.

The communication facility detection apparatus 100 may include a sensor unit 110 and a communication unit 120 , and the sensing data collected by the sensor unit 110 is transmitted to the cloud server 200 or a disaster analysis device through the communication unit 120 . 300 may be transmitted. According to an embodiment, the sensing unit 110 may include a temperature/humidity sensor 111 and a smoke sensor 113 to detect a disaster in the communication facility 10 or a space adjacent to the communication facility 10 . In addition to this, the sensing unit 110 may include all types of sensors capable of detecting an environment that changes according to the occurrence of a disaster, such as a gas sensor, a dust sensor, an infrared sensor, and a vibration sensor.

The plurality of communication facility detection devices 100 may transmit sensing data collected according to environmental changes to the cloud server 200 or the disaster analysis device 300 through the communication unit 120, and the cloud server 200 collects The sensed data may be stored in the database 250 by classifying the communication facility 10 and the type of the sensor disposed in the communication facility 10 .

The cloud server 200 may be a cloud computing-based virtual server. According to an embodiment, the cloud server 200 may store the sensing data collected through the communication facility detection device 100 in the database 250 and transmit it to the disaster analysis device 300 in real time.

In addition, the database 250 of the cloud server 200 determines the communication facility 10 and the communication facility detection device 100 disposed in the communication facility 10, identification information of sensors, location, period of use, and whether a disaster occurs. It is possible to store the reference data for evacuation, the timing of disaster detection predicted by the disaster analysis device 300 , and the result of follow-up measures accordingly.

The disaster analysis device 300 is a device capable of predicting the occurrence of a disaster in the communication facility 10 , and may include various electronic devices such as a PC, a tablet PC, and a data server. Specifically, the disaster analysis device 300 compares the sensed data collected from the communication facility detection device 100 with the pre-stored disaster reference data to predict whether a disaster has occurred or whether a disaster will occur within a certain time/period, The prediction result may be transmitted to the manager terminal 400 .

Meanwhile, in FIGS. 1 and 2 , the disaster analysis device 300 is illustrated as acquiring sensing data by the cloud server 200 , but the disaster analysis device 300 directly receives the sensing data from the communication facility detection device 100 . may be received, and the received sensing data may be transmitted to the cloud server 200 .

According to an embodiment, the disaster analysis apparatus 300 checks a disaster reference data range for determining whether a disaster has occurred for each communication facility 10 , and the sensing data periodically obtained from the communication facility detection apparatus 100 is a disaster It can be checked whether it exists within the reference data range. Here, the disaster analysis apparatus 300 may determine whether or not a disaster occurs and an occurrence time by using sensing data at a previous point in time, in addition to determining whether a disaster occurs at a corresponding point in time based on the periodically acquired sensing data. . For example, the disaster analysis apparatus 300 may determine whether or not a disaster has occurred and when the disaster has occurred through an auto-regressive integrated moving average (ARIMA) analysis method.

For example, the disaster analysis device 300 determines that the temperature and humidity sensor 111 is out of the disaster reference data range when the temperature is 80° C. or higher and the humidity is 80% or higher in the sensing data obtained by the temperature and humidity sensor 111, and the manager terminal 400 ) to send a warning notification. In addition, even in the case of the smoke sensor 113 , it is possible to determine whether a disaster has occurred through the same method described above, and transmit a notification thereto to the manager terminal 400 .

The disaster analysis device 300 may store the results (sensed data and the corresponding disaster occurrence) according to the disaster in the database 250 of the cloud server 200, thereby improving the prediction accuracy of detecting the disaster. have.

The manager terminal 400 is a terminal possessed by a manager who manages the communication facility 10 , and may include various electronic devices capable of communication, such as a smart phone, a PC, and a tablet PC. The manager terminal 400 obtains time interval (eg, 1 minute, 30 minutes, 2 hours) setting information for acquiring sensing data so that the disaster analysis device 300 can detect a disaster in various communication facilities 10 . It may be transmitted to the disaster analysis device 300 , or information on a result of a follow-up action according to the occurrence of a disaster, a cause of a disaster, and a time point may be transmitted to the cloud server 200 or the disaster analysis device 300 .

3 is a block diagram showing the configuration of a disaster detection apparatus according to an embodiment of the present invention.

Referring to FIG. 3 , the disaster analysis apparatus 300 includes a communication unit 310 , an input unit 320 , an output unit 330 , a storage unit 340 , an interface unit 350 , a control unit 360 , and a power supply unit 370 . ) may be included.

Meanwhile, the communication unit 310 , the input unit 320 , the output unit 330 , the storage unit 340 , the interface unit 350 , the control unit 360 and the power supply unit 370 are disasters according to an embodiment of the present invention. It is only a temporary or virtual configuration classified based on the function of the analysis device 300, the function performed by one configuration may be performed by another configuration, and one configuration may perform all the functions of the entire configuration. of course there is

The communication unit 310 may include one or more modules that enable wired/wireless communication between the device and the network in which the device is located. The communication unit 310 transmits/receives a signal to and from at least one of an external device and a server on a communication network such as the Internet. Here, the signal may include various types of data.

The input unit 320 generates input data for the manager to control the operation of the disaster analysis apparatus 300 . According to an embodiment, the input unit 320 may include a keypad, a dome switch, a touch pad (static pressure/capacitance), a jog wheel, a jog switch, and the like.

The output unit 330 is for generating an output related to sight, hearing, or touch, and may include a display unit 331 , a sound output module 332 , and the like.

Specifically, the display unit 331 may display (output) information processed by the disaster analysis apparatus 300 . For example, the display unit 331 may display a user interface (UI) or a graphic user interface (GUI) related to the disaster analysis apparatus 300 .

In addition, the display unit 331 may include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. It may include at least one of a flexible display and a three-dimensional display (3D display).

The sound output module 332 may output audio data received from the communication unit 310 or stored in the storage unit 340 . The sound output module 332 also outputs a sound signal related to a function performed by the disaster analysis apparatus 300 .

The storage unit 340 may store a program for processing and control of the control unit 360 and may perform a function for temporarily storing input/output data. The storage unit 340 is a flash memory type, hard disk type, multimedia card micro type, card type memory (SD, XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, network storage storage, cloud, block chain database It may include at least one type of storage medium. The disaster analysis apparatus 300 may operate in relation to a web storage that performs a storage function of the storage unit 340 on the Internet.

The interface unit 350 may serve as a passage with all external devices connected to the disaster analysis device 300 . The interface unit 350 receives data from an external device, receives power and transmits it to each component inside the device, or transmits data inside the device to an external device. For example, wired/wireless headset ports, external charger ports, wired/wireless data ports, memory card ports, ports for connecting devices equipped with identification modules, audio input/output (I/O) ports, A video input/output (I/O) port, an earphone port, etc. may be included in the interface unit 350 .

The controller 360 may generally control the overall operation of the disaster analysis apparatus 300 . For example, the control unit 360 stores the disaster reference data range of the communication facility 10 , and receives sensing data from the sensing device 100 attached to the communication facility 10 , so that the sensed data is in the reference data range. It is determined whether or not it belongs, and according to the determination result, it is possible to transmit an alert notification to the manager terminal.

The controller 360 may include a graphic module 361 for parallel data processing. The graphic module 361 may be implemented within the control unit 360 or may be implemented separately from the control unit 360 .

Various embodiments described herein may be implemented in a computer-readable recording medium using, for example, software, hardware, or a combination thereof.

According to the hardware implementation, the embodiments described herein are ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays, It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and other electrical units for performing functions. The described embodiments may be implemented by the controller 360 itself.

According to the software implementation, embodiments such as procedures and functions described in this specification may be implemented as separate software modules. Here, each of the software modules may perform one or more functions and operations described herein. The software code may be implemented as a software application written in a suitable programming language. Accordingly, the software code may be stored in the memory 140 and executed by the controller 360 .

4 is a detailed flowchart of a disaster detection method according to an embodiment of the present invention.

4, the disaster analysis device 300 stores the disaster reference data range of the communication facility 10 (S110), and receives the sensing data from the sensing device 100 attached to the communication facility 10 ( S120), it is determined whether the sensed data belongs to the reference data range (S130). According to the determination result, when the sensed data is out of the reference data range, the disaster analysis apparatus 300 may transmit an alert notification to the manager terminal (S140, No). Conversely, when the sensed data is within the reference data range, the disaster analysis apparatus 300 may determine that a disaster has not occurred in the communication facility 10 and return to the step of receiving the sensed data again (S120, Yes).

As such, the disaster detection method according to an embodiment of the present invention can quickly predict whether a disaster occurs, and even after that, by learning the sensing data before and after the disaster, it is possible to accurately predict the occurrence of a disaster in a communication facility in advance. can

The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Although embodiments of the present invention have been described in more detail with reference to the accompanying drawings, the present invention is not necessarily limited to these embodiments, and various modifications may be made within the scope without departing from the technical spirit of the present invention. . Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the equivalent range should be construed as being included in the scope of the present invention.

1000: disaster analysis system
10: communication facilities
100: facility detection device
110: sensor unit
111: temperature and humidity sensor
113: smoke sensor
120: communication department
200: cloud server
250: database
300: disaster analysis device
400: administrator terminal
310: communication unit
320: input unit
330: output unit
331: display unit
332: sound output module
340: storage, database
350: interface unit
360: control
361: graphics module

Claims (1)

a sensing device for acquiring sensing data from at least one sensor attached to a communication facility;
a cloud server for storing the sensing data acquired through the sensing device; and
a disaster analysis device that compares the sensed data with pre-stored disaster reference data, determines whether a disaster has occurred in the communication facility, and transmits a notification according to the occurrence of a disaster to an administrator; Disaster analysis system that includes.

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