KR101991281B1 - IOT based system for monitoring displacement of cultural properties - Google Patents

Abstract

The present invention relates to an IOT based system for monitoring cultural asset displacement (1) which includes: a sensing unit (3) mounted at a cultural asset (2); a relaying unit (5) receiving a signal from the sensing unit (3) and converting the signal into a low-power long-distance communication signal to transmit the same; and a server (S). The server (S) includes: a slope determining unit (33) analyzing a signal of the sensing unit (3) inputted through an inputting unit (31) to determine a degree of tilt of a cultural asset; a crack determining unit (35) determining whether the cultural asset is cracked by the signal of the sensing unit (3); a temperature and humidity determining unit (37) determining temperature and humidity by the signal from the sensing unit (3); a climate managing unit (39) managing climate data of a corresponding region by recognizing a location of the cultural asset; a determining unit (45) calculating a risk degree of the cultural asset by interconnecting the slop determining unit (33), the crack determining unit (35), the temperature and humidity determining unit (37), and the climate managing unit (39), classifying the cultural asset as stone asset, wooden asset, and metal asset, and applying weights differentially according to weather of a location where the cultural asset is located to calculate risk degree of the cultural asset; and a database (47) storing and managing data for the cultural asset and climate. According to the present invention, it is possible to accurately recognize and manage status of a cultural asset.

Description

IOT based system for monitoring displacement of cultural property

The present invention relates to a cultural property displacement monitoring system, and more particularly, it relates to a system and method for monitoring a cultural property displacement monitoring system, more specifically, Cultural property, and iron cultural property, the risk is evaluated according to the material of each cultural property, and the actual risk of each cultural property is evaluated by reflecting the risk according to the weather in the area where the cultural property is located.

In general, cultural property, buildings, bridges, etc. may be deformed due to cracks as time passes and safety diagnosis should be carried out.

In recent years, the risk of earthquakes has increased, and safety checks on cultural properties are very important when such an earthquake occurs.

Especially, in the case of acidic and walled walls, when a large amount of rainwater seeps in, the earth pressure (soil pressure) appears and the earthquake and collapse due to heavy snowfall are frequent.

In addition, due to the earthquake and heavy snowfall of the wooden building cultural property, the slope and settlement of the column occurs and collapse occurs. And, due to the nature of wooden building cultural property, displacement occurs according to seasonal temperature and humidity.

Therefore, safety inspection of such cultural property is required, and safety check can be carried out by various methods periodically. As a result, it is possible to visit the site, check it with the naked eye, check with ultrasonic waves, It is measured and checked.

The on-site inspection method uses visual and measurement equipment to check for cracks and leaks. If the risk factors are identified, additional safety precautions are taken to prepare for safety accidents.

However, such a conventional on-site visit inspection method has a problem in that a dead zone occurs due to a lot of manpower, time, and expensive equipment to be used for periodic monitoring, thereby causing safety accidents.

Especially, it is difficult to measure the accurate displacement because the area where the manpower is difficult to access is inevitably neglected in the management object.

In addition, since the displacement of cultural property is visually inspected, there is a problem that the reliability of the test result is deteriorated due to a difference depending on the personal capacity of the inspector.

When the cultural property is processed by various materials such as stone, wooden, iron, etc., and when the state of each cultural property is monitored by the sensor, when the status of the cultural property is judged simply by the output value of the sensor, So that it is difficult to accurately grasp and manage the state.

1) Patent Application No. 10-2007-54228 (Name: Integrated Management System of Cultural Properties and its Method) 2) Patent Application No. 10-2008-66333 (Name: Cultural Property Management System and Method)

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a technology capable of effectively preventing a disaster by detecting the displacement of cultural property in real time using a low-power long-distance communication network based on the improved sensor and IOT, .

In addition, the purpose of the present invention is to classify cultural properties into stone cultural properties, wooden cultural properties, and iron cultural properties, and to assess the actual risk of each cultural property by applying the risk according to the weather of each cultural property To provide a technology that can be used.

According to an aspect of the present invention,

A relay unit 5 for receiving a signal from the sensor unit 3 and converting the received signal into a low power long distance communication signal and transmitting the signal to the IOT- As a cultural property displacement monitoring system (1)

The server S includes a signal input unit 31;

An inclination judging unit 33 for analyzing the signal of the sensor unit 3 inputted through the signal input unit 31 to judge inclination of the cultural property;

A crack determination unit (35) for determining whether or not the cultural property is cracked by a signal of the sensor unit (3);

A temperature / humidity determination unit (37) for determining the temperature and humidity according to a signal from the sensor unit (3);

An extension / contraction determination unit (38) for determining whether the extension / contraction sensor (16) is mounted on a fire or not;

A climate management unit (39) for monitoring the location of the cultural property and managing the climate data of the area;

The danger level of the cultural property is primarily calculated by interlocking with the inclination judging section 33, the crack judging section 35, the temperature and humidity judging section 37, the expansion / contraction judging section 38 and the climate control section 39, A determination unit 45 for classically classifying the cultural properties of the cultural properties according to the area where the cultural properties are located;

A database 47 in which data on cultural properties and climate are stored and managed,

The judging unit 45 of the server S includes a cultural property classifying module 51 for classifying the types of cultural properties into wooden, stone and iron based on the received location data;

A risk determination module 50 that transmits and receives data to and from the slope determination unit 33, the crack determination unit 35, and the temperature / humidity determination unit 37 of each cultural property and primarily determines the risk of the cultural property based on the formula, and;

A climate calculation module 52 for providing a weight to the risk determination module 50 according to the weather of the area in which each cultural property is located by interlocking with the climate management unit 39 to secondarily calculate the risk of the cultural property; And

And an output module (54) for outputting a result calculated by the risk judgment module (50).

As described above, the IOT-based cultural property displacement monitoring system according to an embodiment of the present invention divides cultural property into stone, wooden, and iron by the cultural property classification module, and determines the degree of inclination, It is advantageous in that it can judge the degree of risk primarily by temperature and humidity and apply the weather element to each cultural property by the climate calculation module and secondly judge the risk, thereby more accurately grasping and managing the state of the cultural property.

In addition, based on the improved sensor and IOT, it is possible to effectively detect disasters by detecting the displacement of cultural property in real time using a low-power long-distance communication network and transmitting it to a remote place.

FIG. 1 is a view showing a structure of an IOT-based cultural property displacement monitoring system according to an embodiment of the present invention.
FIG. 2 is a structural view showing the internal structure of the displacement sensor shown in FIG. 1. FIG.
3 is a structural view showing the internal structure of the repeater shown in FIG.
4 is a diagram illustrating the structure of the server shown in FIG.
FIG. 5 (a) is a view showing a state where the displacement sensor shown in FIG. 1 is installed in a wooden building, and FIG. 5 (b) is a view showing a state where the displacement sensor is installed on a castle wall.
FIG. 6 is a view showing a monitor output screen of the control room shown in FIG. 1. FIG.
FIG. 7 is a diagram showing a map displayed on the monitor shown in FIG. 1. FIG.
FIG. 8 is a view schematically showing the structure of the determination unit shown in FIG. 4. FIG.

Hereinafter, an IOT-based cultural property displacement monitoring system according to the present invention will be described in detail with reference to the accompanying drawings.

1 to 8, an IOT-based cultural property displacement monitoring system 1 proposed by an embodiment of the present invention is installed in a cultural property (hereinafter, referred to as an object 3), and is provided with cracks, temperature and humidity, vibration, Etc., and notifies a remote place in real time, thereby preventing a safety accident.

The IOT-based cultural property displacement monitoring system 1 includes a sensor unit 3 mounted on the object 2 for sensing cracks in three axial directions of the X axis, the Y axis, and the Z axis; A relay unit (5) which receives a signal from the sensor unit (3) and converts it into a low power long distance communication signal and transmits it; And a server S for receiving a low-power communication signal from the relay unit 5, analyzing the data, and transmitting the analyzed data to the terminal so as to grasp the crack state at the remote site.

In the IOT-based cultural property displacement monitoring system (1) having such a structure,

The sensor unit 3 is mounted at an appropriate position of the object 2 to measure the surrounding cracks, temperature and humidity, earthquake, tilt, and the like.

The sensor unit 3 includes a unit including a temperature / humidity sensor, a crack distance sensor, a vibration sensor, and a tilt sensor.

That is, the sensor unit 3 includes a case 4; A gyro sensor 11 mounted on the case 4 for detecting a tilt in the X-axis, Y-axis, and Z-axis directions to detect cracks, inclination, and settling; A geomagnetic sensor 13 for measuring a magnetic force; A temperature and humidity sensor 14 for measuring temperature and humidity; An acceleration sensor 15 for sensing movement; An extension / contraction sensor 16 for measuring the degree of expansion / contraction; An MCU (21) for receiving and processing measured data from the sensors; A first low power communication module (LPWAN) 27; A power supply unit 23, and an antenna 25.

The tilt detection sensor 11 is a sensor that measures the azimuth change using the value of the angular velocity which is the rotation speed of the object. It is a method of calculating the angular velocity by converting the Coriolis Force generated when the object rotates into an electrical signal This is mainly used.

And it supports two axes of X-axis and Y-axis, and uses a high-precision inclinometer.

In addition, since the tilt sensor 11 can detect the rotation angle and tilt of a rotating object, it can be used together with a vibration sensor 15 for measuring the acceleration of an object or the intensity of an impact, have.

Such a vibration detection sensor 15 is a sensor for detecting vibration and earthquake by measuring acceleration, which is a change in speed, and an electronic system or a voltage system is mainly used. For example, an electronic vibration detection sensor measures the amount of movement of a moving part having an appropriate mass by an electromotive force of a magnet and a coil, and a voltage type vibration detection sensor uses a piezoelectric element that generates a voltage when a pressure is applied, And the acceleration is measured by the applied pressure.

The vibration detection sensor 15 may be a sensor of various specifications, for example, a D7S seismic sensor may be used.

The geomagnetism sensor 13 is a sensor for detecting a geomagnetism by a Hall effect. The electrons are deflected by a current and a magnetic field in an orthogonal conductor, and a voltage is generated across the conductor. This is a linear value. Hole voltage) is measured, the magnitude of the current incident magnetic field can be known. The three-axis geomagnetic sensor 13 is mainly used.

The temperature and humidity sensor 14 includes a temperature sensor and a humidity sensor, and the temperature sensor senses the temperature by using the property that the device changes its electrical characteristics according to temperature. These temperature sensors have a resolution of 0.01 degree and thermocouples, temperature measuring resistors, thermistors (NTC), metal type thermometers, thermistor (NTC, PTC, CTR) temperature sensitive ferrite type temperature sensors are mainly used.

In the thermistor type temperature sensor, NTC (Positive Thermal Coefficient) type and PTC Positive Thremal Coefficient (NTC) type are distinguished. When the temperature increases, the resistance decreases. PTC increases resistance .

The humidity sensor has various types of humidity sensors, such as a system that utilizes changes in electric resistance or capacitance caused by absorption by porous ceramics or a polymer membrane, and a system that uses a change in resonance frequency of a vibrator due to a change in the weight of an absorbent material installed on the vibrator Can be used.

Specifically, it can be applied to various sensors such as lithium chloride humidity sensor, electrolytic humidity sensor (P2O5 humidity sensor), polymer membrane humidity sensor, quartz oscillation humidity sensor, aluminum oxide humidity sensor, ceramic humidity sensor, thermistor humidity sensor, microwave humidity sensor, .

Such a humidity sensor has a resolution of 0.1%.

Then, the expansion / contraction sensor 16 detects a change in length of the cultural property, and includes a strain gauge. Because the cultural property has a lot of wooden buildings, it can detect the degree of expansion and contraction by sensing the degree of expansion and contraction of the wood by mounting the extension sensor 16 on a wooden column or the like. The expansion / contraction sensor 16 transmits a signal to the expansion / contraction determining unit 38 so as to detect whether the cultural property is newly built or not.

Thus, the data output from the plurality of sensors is transmitted to the MCU 21. The MCU 21 processes and analyzes the data to detect cracks, sinks, slopes, temperature and humidity, gas leaks, Dust density, and the like.

At this time, the MCU 21 is a unit for receiving data, processing and outputting data like a microprocessor. For example, convert each measured value to m, mm, Celsius, Fahrenheit, and so on.

In this way, the MCU 21 processes the received data, converts the result into a LPWAN signal in a low-power wide area network (LPWAN) 27, and sends the LPWAN signal to the relay unit 5. At this time, the frequency band is 917-923.5 Mhz.

The relay unit 5 receives the LPWAN signal from the sensor unit 3 and converts it into an Ethernet signal or a Wifi signal. That is, the relay unit 5 includes a gateway 7 and a low-power wide area network (LPWAN) to convert the WAN signal received from the sensor unit 3 into Ethernet or Wifi, (S).

At this time, the frequency band is 917-923.5 Mhz.

As described above, in the present application, the data is transmitted between the sensor and the relay unit 5 by the LPWAN signal. The local wireless communication system used in the smart home, smart building such as ZigBee or beacon includes the smart home gateway 7, Smart phones and other complex processes to access the object Internet devices.

However, the low power long distance communication network (LPWAN) can be directly connected without the cumbersome process of the user area, so that it is applied to the outdoor application field which mainly requires a plurality of devices.

This low-power long-distance communication scheme refers to a wireless wide area communication network with a wide range of coverage over 10 km and a power consumption of less than several hundred kilobits per second (kbps). It is mainly used as a dedicated Internet (IoT) network.

Low-power long distance communication methods are classified into LoRaWAN, SIGFOX, LTE-MTC (LTE Machine-Type Communications), and Narrowband Internet (NB-IoT).

In addition, the low-power long-distance communication method can also function as a mesh network in which one BLE device transmits information of another BLE device.

On the other hand, the server (S) receives the data received from the relay unit 5, and stores this data in the classification and analysis in the database (47). Such a server S is disposed in a control room located at a remote location, so that the administrator can grasp the safety of the cultural property in real time.

That is, the server S includes a signal input unit 31; An inclination judging unit 33 for analyzing the signal of the sensor unit 3 inputted through the signal input unit 31 to judge inclination of the cultural property; A crack determination unit (35) for determining whether or not the cultural property is cracked by a signal of the sensor unit (3); A temperature / humidity determination unit (37) for determining the temperature and humidity according to a signal from the sensor unit (3); An extension / contraction determination unit (38) for determining whether the extension / contraction sensor (16) is mounted on the cultural property; A climate management unit (39) for monitoring the location of the cultural property and managing the climate data of the area; The danger level of the cultural property is primarily calculated by interlocking with the inclination judging section 33, the crack judging section 35, the temperature and humidity judging section 37, the expansion / contraction judging section 38 and the climate control section 39, A determination unit 45 for classifying the cultural properties of the cultural properties according to the regions where the cultural properties are located, and calculating weights of the cultural properties of the cultural properties in a differential manner; And a database 47 in which data on cultural properties and climate are stored and managed.

To describe these servers in more detail,

The inclination determining unit 33 analyzes the inclination sensor 11 or the vibration sensor 15 received through the MCU 21 of the sensor unit 3 and determines the degree of inclination based on the position value or the acceleration value do.

As shown in FIG. 5A, in the case of a wooden building, when the column is tilted when an external force acts due to an earthquake or the like, the tilt sensor 11 measures the inclination of the column by mounting the sensor unit 3 on the column. can do. The measured tilted data is transmitted to the server S through the relay unit 5, so that the tilting determination unit 33 can calculate the tilt value to determine the degree of tilting.

The crack judging unit 35 judges cracks of cultural properties, and judges cracks of stone cultural properties such as walls.

That is, as shown in FIG. 5B, the two sensor units 3 are mounted on both sides of the cracks formed in the wall, and the data received from the two geomagnetic sensors 13 are analyzed to determine the relative position, It can be judged.

For example, when the two sensors 13 are attached to both sides of the cracked portion 6, if the cracks occur, the intensity value of the magnetic force fluctuates, so that the phase values transmitted from the respective sensor portions are different The server S receives and analyzes these two signals and can grasp that a crack has occurred in the corresponding zone.

The temperature / humidity determiner 37 analyzes the received temperature or humidity data and determines that the temperature and humidity fluctuate beyond the reference range if the temperature or humidity data is above or below the reference value.

For example, the following table can be sorted.

Temperature Humidity Reference value: 20 ℃ One Reference value: 20% One 14 ° C to 16 ° C 1.2 14-16% 1.1 16 ° C to 18 ° C 1.4 16-18% 1.2 18 ° C to 20 ° C 1.6 18-20% 1.3 20 ° C to 22 ° C 1.8 20-22% 1.4 22 ° C to 24 ° C 2.0 22-24% 1.5 24 ° C to 26 ° C 2.2 24-26% 1.6

As shown in the above table, the corresponding value of the section to which the temperature and the humidity value belong can be recognized and can be reflected in the risk assessment by applying to the following equation.

On the other hand, cultural assets are composed of various materials such as wooden buildings such as temples, stone pagoda, bronze Buddha statues such as bronze, and different degrees of inclination, degree of cracking, and variation of temperature and humidity.

Therefore, the risk is judged by applying slope value, crack value, and temperature / humidity value to each cultural property relatively.

The determination of the risk is performed by the determination unit 45,

The judging unit 45 includes a cultural property classifying module 51 for classifying the types of cultural properties into wooden, stone and iron based on the received location data; A risk determination module 50 for transmitting and receiving data to and from the slope determination unit 33, the crack determination unit 35, and the temperature / humidity determination unit 37 of each cultural property and determining the risk of the cultural property according to the formula; A climate calculation module (52) for interfacing with the climate management unit (39) and providing a weight to the risk determination module (50) in accordance with the weather of the area where the cultural property is located to calculate the risk of the cultural property; And an output module 54 for outputting a result calculated by the risk judgment module 50.

In this determination unit 45, the cultural property classification module 51 determines whether the object 2 is a stone cultural property, a wooden cultural property, or a ferro-cultural property based on the data received by the signal input unit 31.

This can be determined by the identification code assigned to the sensor unit 3 mounted on the object 2. [ That is, in the case of a sensor attached to a wooden cultural treasure, an identification code corresponding to a wooden cultural treasure is given. In the case of a sensor mounted on a stone treasure, an identification code corresponding to a stone cultural treasure is given. .

The risk judging module 50 judges the risk levels of the stone, wooden and iron cultural heritage according to the data received by the warp judging unit 33, the crack judging unit 35 and the temperature / humidity judging unit 37 .

In other words, in the case of stone artifacts, physical factors such as slope and cracks have a greater influence than temperature and humidity. Therefore, the results of slope and crack determination sections 33 and 35 are set higher than those of temperature and humidity results, Calculate the risk.

For example, the specific gravity of the result value of the slope determination unit 33 is 40, the specific gravity of the result value of the crack determination unit 35 is 40, and the specific gravity of the result value of the temperature / humidity determination unit 37 is 20.

The formula is shown below.

Total risk = (crack value * 0.4) + (slope value * 0.4) + (temperature / humidity value * 0.2)

If the calculated risk is higher than the reference value, it is identified as a risk, and the manager is notified.

Thus, in the case of stone artifacts, the physical factors such as slope and cracks have a greater effect than temperature and humidity, so the inclination and cracking degree are considered to be higher when calculating the overall risk.

On the other hand, when the wooden cultural property is judged to be a wooden cultural property, since the wooden cultural property is affected not only by the slope and the crack but also by the temperature and humidity, the result of the slope and crack determination sections 33, To calculate the overall risk. In addition, since the wooden cultural treasury has a large expansion and contraction range, the expansion factor received from the expansion / contraction sensor 16 is also reflected.

For example, the specific gravity of the result value output from the slope determining unit 33 is 30, the specific gravity of the result value output from the crack determining unit 35 is 30, and the specific gravity of the resultant value of the temperature / humidity judging unit 37 is 40 do.

Total risk = (crack value * 0.3) + (slope value * 0.3) + (temperature / humidity value * 0.3) +

If it is judged that it is a ferro-cultural property, the result of the slope judging unit (33) and the result of the temperature and humidity are as shown in the following equation (3) because the steel cultural property is more affected by factors such as slope and moss caused by temperature and humidity. And the result of the crack determination unit 35 is set to a low level.

Total risk = (slope value * 0.4) + (temperature and humidity value * 0.4) + (crack value * 0.2) - Equation 3

On the other hand, the effects of cracks, slopes, and temperature and humidity on cultural properties are influenced by the climate of the area where the cultural assets are located. Therefore, these climatic factors need to be reflected in the risk assessment.

That is, the climate management module 52 correlates factors such as weather conditions of the area where the cultural property is located, for example, typhoon, wind, lightning, rain, and fog with the climate management section 39, .

That is, the climate calculation module 52 receives the climate data provided by the climate management unit 39, and reflects the climate data primarily determined by the risk determination module 50 to secondarily determine the risk level.

In other words, when the wind blows, rains or fogs in the area where the cultural property is located, it is reflected in the risk calculation.

For example, when the cultural property is located in a region where the wind is strongly blown, the risk is primarily evaluated by applying a weight to the risk calculated primarily by Equations 1 to 3 above.

For example, in the case of a stone artifact, the first risk is evaluated according to Equation 1, and then the risk is secondarily evaluated by the climate management module 52 as shown in Equation 4 below.

That is, total risk = [(crack value * 0.4) + (slope value * 0.4) + (temperature and humidity value * 0.2)

(N: weather index)

At this time, the weather index N is a value obtained by digitizing the wind intensity N1, the amount of rain N2, the concentration of mist N3, and the presence or absence of lightning N4.

That is, the weather index N is calculated as (N1 * 25%) + (N2 * 25%) + (N3 * 25%) + (N4 * 25%).

(N1: intensity of wind, N2: precipitation, N3: concentration of mist, N4: presence of lightning)

Wind, rain, fog, and lightning can be converted to numbers, for example, by the table below.

Wind strength Precipitation Fog Lightning Wind speed: 0 ~ 10㎧ One 0 to 10 mm One Visible distance: 1Km One Frequency: 0 to 5 One 11-20 2 11 to 20 mm 2 Visible distance: 500m 2 6-10 2 21-30 3 21 to 30 mm 3 Visible distance: 100m 3 11-15 3

In Table 2, the wind intensity is divided according to the wind speed and given a score. In addition, precipitation is divided into sections according to the amount of rain, scores are assigned, fog is divided into sections according to the viewing distance, scores are assigned, and lightning is a method of assigning scores according to the frequency of lightning.

In the same way, wooden cultural properties are also evaluated according to the following equation (5).

Total risk = [(Crack value * 0.3) + (Inclined value * 0.3) + (Temperature and humidity value * 0.3) +

In the case of iron cultural property,

Total risk = [(slope value * 0.4) + (temperature and humidity value * 0.4) + (crack value * 0.2)

In this case, since the wooden and iron cultural properties are affected by rain and fog, the weight of the weather factors can be increased.

For example, N = (N1 * 20%) + (N2 * 30%) + (N3 * 30%) +

As described above, according to the present invention, the cultural property is classified into stone, wood, and iron by the cultural property classification module 51, and the risk degree is determined by the risk determination module 50 by the inclination degree, the crack degree, It is possible to determine and manage the state of the cultural property more precisely by judging the risk secondarily by applying the weather element to each cultural property by the climate calculation module 52 and judging the risk level secondarily.

The database 47 stores and stores data processed by the server. For example, the database 47 stores IDs, MACs, names, types, X coordinates, and Y coordinates of a plurality of sensors mounted on cultural properties scattered throughout the country And stores the received data.

And the server (S) is loaded with open source database and platform based (GNU / Linux, MariaDB) software.

It also supports HTTP security and HTTP / 2 protocol and has Web Application Server (WAS) function. And, proxy function for load distribution processing is built in, and user authentication and permission function are supported.

In addition, multi-gate support and nodes are supported and support for interworking of push (PUSH) message clouds.

The data processed by the server S is displayed in a table, a graph, or the like through a displayer C, such as a monitor, so that the user can visually check the current state.

That is, as shown in FIG. 7, by supporting the position information service, it is possible to link with a two-dimensional or three-dimensional map.

Therefore, it is possible to understand in real time the abnormality of cultural assets scattered throughout the country. In addition, it is possible to input and output related data by the interactive UI, to calculate statistics for each cultural property, and to output it as a graph or the like.

At this time, data such as inclinations and cracks for each cultural property can be collected and patterned for a certain period of time, thereby enabling efficient management.

That is, as shown in FIG. 6, a change in the degree of inclination with respect to the cultural property is patterned and shown as a graph, so that the degree of inclination can be predicted in the future.

In addition, the Climate Management Unit (39) manages the climate data of the area by identifying the location of cultural properties. In other words, the position and type can be determined by data on ID, MAC, Name, type, X-coordinate and Y-coordinate of a plurality of sensors mounted on cultural properties scattered throughout the country.

Then, the user can mount the related application (App.) On the smartphone (A), activate the application, and connect to the server (S) to monitor the inclination, crack, and temperature and humidity of the cultural property in real time.

Claims (4)

A relay unit 5 for receiving a signal from the sensor unit 3 and converting the received signal into a low power long distance communication signal and transmitting the signal to the IOT- As a cultural property displacement monitoring system,
The server S includes a signal input unit 31;
An inclination judging unit 33 for analyzing the signal of the sensor unit 3 inputted through the signal input unit 31 to judge inclination of the cultural property;
A crack determination unit (35) for determining whether or not the cultural property is cracked by a signal of the sensor unit (3);
A temperature / humidity determination unit (37) for determining the temperature and humidity according to a signal from the sensor unit (3);
An extension / contraction determination unit (38) for determining whether the extension / contraction sensor (16) is mounted on a fire or not;
A climate management unit (39) for monitoring the location of the cultural property and managing the climate data of the area;
The danger level of the cultural property is primarily calculated by interlocking with the inclination judging section 33, the crack judging section 35, the temperature and humidity judging section 37, the expansion / contraction judging section 38 and the climate control section 39, A determination unit 45 for classically classifying the cultural properties of the cultural properties according to the area where the cultural properties are located;
A database 47 in which data on cultural properties and climate are stored and managed,
The judging unit 45 of the server S includes a cultural property classifying module 51 for classifying the types of cultural properties into wooden, stone and iron based on the received location data;
A risk determination module 50 that transmits and receives data to and from the slope determination unit 33, the crack determination unit 35, and the temperature / humidity determination unit 37 of each cultural property and primarily determines the risk of the cultural property based on the formula, and;
A climate calculation module 52 for providing a weight to the risk determination module 50 according to the weather of the area in which the cultural property is located by interlocking with the climate management unit 39 to secondarily calculate the risk of the cultural property; And
And an output module 54 for outputting the result calculated by the risk judgment module 50,
The risk judgment module 50 primarily judges the risk of the cultural property,
In the case of stone artifacts, the risk level is evaluated according to Equation 1 below,
If it is judged to be a wooden cultural property,
If it is judged that it is a cultural property of iron, it is judged by the following formula (3)
The climate calculation module 52 calculates the weather index N = (N1 * 25%) + (N2 * 25%) + (N3 * 25%) + (N4 * 25% , N2: Precipitation, N3: Fog density, N4: Lightning presence)
When the above weather index is applied to the stone cultural property, the risk level is evaluated according to the following equation (4)
When applied to wooden cultural properties, the risk is evaluated according to Equation 5 below,
IOT based cultural property displacement monitoring system that evaluates the risk by Equation (6) when applied to iron cultural property.
Total risk = (crack value * 0.4) + (slope value * 0.4) + (temperature / humidity value * 0.2) - Equation 1
Total risk = (crack value * 0.3) + (slope value * 0.3) + (temperature / humidity value * 0.3) +
Total risk = (slope value * 0.4) + (temperature and humidity value * 0.4) + (crack value * 0.2) - Equation 3
Total risk = [(crack value * 0.4) + (slope value * 0.4) + (temperature and humidity value * 0.2)
Total risk = [(crack value * 0.3) + (slope value * 0.3) + (temperature / humidity value * 0.3) +
Total risk = [(slope value * 0.4) + (temperature and humidity value * 0.4) + (crack value * 0.2) The method according to claim 1,
The sensor unit 3 includes a case 4 mounted on the cultural property; A tilt sensor 11 (see FIG. 1) which detects a tilt in the X-axis, Y-axis, and Z-axis directions and detects cracks, inclination, )Wow; A geomagnetic sensor 13 for measuring a magnetic force and transmitting a signal to the crack determination unit 35; A temperature and humidity sensor 14 for measuring temperature and humidity and sending a signal to the temperature / humidity determination unit 37; A stretch detection sensor 16 for detecting the stretching degree; A vibration detection sensor 15 for detecting movement; An MCU (21) for receiving and processing measured data from the sensors; A first low power communication module (LPWAN) 27; An IOT-based cultural property displacement monitoring system including a power supply unit (23) and an antenna (25). delete delete

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