WO2020130793A1

WO2020130793A1 - System for determining real-time status of mechanical structure and method thereof

Info

Publication number: WO2020130793A1
Application number: PCT/MY2019/050117
Authority: WO
Inventors: Nur Azera Binti TUHAIME; Muhammad Hafiz Bin Laili; Abdur Rehman Bin LAILI; Nur Ain Binti MOHD AZIZ
Original assignee: Mimos Berhad
Priority date: 2018-12-21
Filing date: 2019-12-18
Publication date: 2020-06-25
Also published as: MY193635A

Abstract

The present invention relates to a system (100) for determining real-time status of mechanical structure resulting from natural disaster event and a method (200) thereof, The system (100) comprises a database (10); a real-time detection unit (20) for detecting real-time acceleration signal; a determination unit (30) comprises a pattern classification module (40) and a damage level determination module (50) for detecting a natural disaster event and for determining status of the mechanical structure; and a warning alarm unit (60) for providing alert to notify about the natural disaster event. The method (200) of the present invention comprising steps of classifying pattern of the real-time acceleration signals according to a pattern profile to detect a natural disaster event, and determining status of the mechanical structure from output value of a damage level matrix by the damage level determination module (50).

Description

SYSTEM FOR DETERMINING REAL-TIME STATUS OF MECHANICAL STRUCTURE

AND METHOD THEREOF

FIELD OF INVENTION

This invention relates to determining safety and stability status of a mechanical structure, and more particularly to a system and method for determining real-time status of mechanical structure resulting from dynamic vibrations due to human activity and natural disaster.

BACKGROUND OF THE INVENTION

Natural disaster, for instance earthquake is an unexpected event that can destroy lives and affect human’s livelihood. Damages and life loss are often reported after any large magnitude of earthquake. This is due to seismic waves produced by the earthquake shaking through the Earth's rocks and caused any mechanical structure resting on the ground especially buildings and bridges to experience horizontal and vertical motion at its base. Therefore, it is desirable to pick up early signals of the seismic waves to predict size and duration of an emerging earthquake to reduce damages and life loss, These situations have led to many research works to provide early detection before any disastrous natural disaster takes place in an area. A number of natural disaster prediction systems have been developed which involved natural disaster forecasting and warning system.

For example, a prior art of patent application KR20180061091 ('091 ) discloses an earthquake detection and notification system of a building. The earthquake detection and notification system according to '091 includes an earthquake detection sensor unit, a guidance light display unit, an escape route display unit, a warning sound output unit and a control unit. The control unit is configured to receive an earthquake coefficient value detected in the earthquake detection sensor unit by a specific event and set a notification level of the specific event based on the earthquake coefficient value. Then, the control unit controls at least one of the escape route display unit, the guidance light display unit and the warning sound output unit according to the notification level;.

However, there are various opinions regarding the trustworthiness of the prediction system. For instance, there are times when small ground motions are not followed by large intensity of earthquake but the warning system is still activated. This is due to other vibration sources besides the natural disaster such as construction activity, strong wind or vibrations due to vehicle movement. Henceforth, this can cause a false alarm and consequently created panic and affected economy activity thereafter.

Studies have also shown that frequent small ground motion incidents may affect stability of the mechanical structure. Thus, it is imperative to take into account any small intensity of seismic signal arid other vibrations to evaluate stability of a mechanical structure that may cause destruction to said mechanical structure. In any natural disaster event, evaluation of damage to a mechanical structure is important for safety monitoring. As an example, prior art of patent US 8706654 B2 (‘654) discloses an earthquake damage prediction and prevention system for determining an impact or damage caused by the earthquake to objects associated with different geographical locations. In‘654, an index calculation module is used to calculate an impact index for each geographical location. The impact index is calculated by determining an impact ratio for local intensity at the respective geographical location, and adding up the impact ratios weighted by a weighting factor assigned to the respective geographical location.

However, in most earthquake prediction systems, stability evaluation is carried out after the earthquake events have subsided. There is no real-time system and method to provide sufficient information about status of the mechanical structure such as stability and safety as early as the earthquake is detected. The prior arts have therefore insufficiently addressed the problems of determining real-time status of mechanical structure resulting from dynamic vibrations. Thus, it is important to have a continuous monitoring process to detect and distinguish a real natural disaster event from other vibration sources, and further determine safety and stability status of the mechanical structure. Thereby, occurrences of false alarm can also be reduced or avoided. Real-time status of the mechanical structure is necessary to determine damage value of the mechanical structure and further prompting management authority to act properly during evacuation procedure.

Accordingly, there exists a need to provide a system and method to determine real-time status of mechanical structure resulting from dynamic vibrations due to human activity and natural disaster SUMMARY OF INVENTION

The following presents a simplified summary of the invention in order to provide a basic understanding of some aspects of the invention. This summary is not an extensive overview of the invention. Its sole purpose is to present some concepts of the invention in a simplified form as a prelude to the more detailed description that is presented later.

It is an objective of the present invention to provide a system and method to detect and distinguish real natural disaster from other vibrations due to human activity.

It is also an objective of the present invention to provide a system and method to provide real-time status of the mechanical structure such as stability and safety as soon as the natural disaster is detected.

It is further an objective of the present invention to provide a reliable system and method to provide alert of an impact to the status of the mechanical structure due to an impending natural disaster. Thereby, an alert system is only triggered if the impending natural disaster affecting stability and safety of the mechanical structure to avoid false alarm or cause panic due to small intensity of vibration.

According to the present invention, there is provided a system for determining real-time status of mechanical structure resulting from natural disaster event, comprising: of a real-time detection unit comprises vibration sensor for detecting reahtime acceleration signal experienced by the mechanical structure; a determination unit for detecting a natural disaster event based on the real-time acceleration signal and data in the database, and for determining status of the mechanical structure resulting from the natural disaster event; and a waring alarm unit for providing alert about the natural disaster event. The determination unit further comprising a pattern classification module for detecting the natural disaster event based on a pattern profile, wherein the pattern profile is formed by types of vibrations experienced by the mechanical structure; and a damage level determination module for determining status of the mechanical structure resulting from the natural disaster event by computing a damage level matrix, wherein the damage level matrix is a combination of a damage level value and structure stability status of the mechanical structure. In a preferred embodiment of the invention, the database is configured to store data of natural disaster events, vibrations produced due to human activities and: status of ^: the mechanical structure.

In a preferred embodiment of the invention, the pattern classification module is further configured to form a pattern profile by classifying pattern of previous natural disaster events and vibrations produced due to human activities from the database.

In a preferred embodiment of the invention, the pattern profile is continuously updated with the real-time acceleration signal received from the real-time detection unit

In a preferred embodiment of the invention, the damage level value is assigned: with values to indicate intensity of the natural disaster.

In a preferred embodiment of the invention, the structure stability status is assigned with values to indicate condition of the mechanical structure, wherein the condition of the mechanical structure further comprises safe condition to indicate the mechanical structure is stable; caution condition to indicate the mechanical structure had experienced damage from previous natural disaster event in which said damage had been restored and the mechanical structure is currently stable; and restoration condition to indicate the mechanical structure is currently under maintenance due to damage caused by previous natural disaster event and is not completely safe to experience another natural disaster event.

According to the present invention, there is also provided a method of determining real-time status of mechanical structure resulting from natural disaster event, characterized by the steps of: receiving real-time acceleration signal from a real-time detection unit; classifying pattern of the real-time acceleration signals according to the pattern profile to detect a natural disaster event by a pattern classification module; activating a damage level determination module if natural disaster event is detected by the pattern classification module; classifying a damage level value of the natural disaster event according to a predetermined scale of damage level value by the damage level determination module; identifying structure stability status of the mechanical structure by the damage level determination module; combining the damage level value and structure stability status to compute a damage level matrix of the mechanical structure; and determining status of the mechanical structure from output value of the damage level matrix.

In a preferred embodiment of the invention, the method further comprises a step of activating a warning alarm unit for providing alert about the natural disaster event, if the output value of the damage level matrix exceeds a predetermined safety threshold.

In a preferred embodiment of the invention, the method further comprising a step of forming a pattern profile by the pattern classification module, comprises steps of receiving data from a database, of previous natural disaster events and vibrations produced due to human activities; classifying the received data into types of vibrations experienced by the mechanical structure; and updating the real-time acceleration signal received from the real-time detection unit in the pattern profile.:

In a preferred embodiment of the invention, the step of classifying a damage level value of the natural disaster event comprises a step of extracting a real-time damage level value of the natural disaster event from the acceleration signals, by the damage level determination module. BRIEF DESCRIPTION OF THE DRAWINGS

The features of the invention will be more readily understood and appreciated from the following detailed: description when read in conjunction with the accompanying drawings of the preferred embodiment of the present invention. Figure 1 is a diagram illustrating a system for determining real-time status of mechanical structure in accordance to the present invention.

Figure 2 is a flow chart of a method of determining real-time status of mechanical structure in accordance to the present invention.

Figure 3 is a flow chart representing an exemplary embodiment for determining real-time status of a bridge structure resulting from an earthquake event in accordance to the present invention. Figure 4 illustrating an exemplary embodiment of a pattern profile in accordance to the present invention;

Figure 5 illustrating an exemplary embodiment of damage level matrix in accordance to the present invention.

DESCRIPTION OF THE PREFERRED EMBODIMENT

The above mentioned features and objectives of this invention will become more apparent and better understood by reference to the following detailed description. It should be understood that the detailed description made known below is not intended to be exhaustive or limit the invention to the precise disclosed form, as the invention may assume various alternative forms. On the contrary, the detailed description covers all the relevant modifications and alterations made to the present invention, unless the claims expressly state otherwise.

The present invention relates to a system and method of determining real-time status of mechanical structure resulting from dynamic vibrations. The mechanical structure according to the present invention may Include but not limited to residential and industrial buildings, bridges, tunnels and structures that are attached to ground on its base. The dynamic vibrations according to the present invention include vibrations due to human activity and natural disaster. The vibrations due to human activity may include vibrations produced during construction activity and vibrations from vehicle movement such as vehicle moving on a bridge. The natural disaster may comprise types of natural disaster that produce vibrations such as earthquake, wind, storm and landslide. In an exemplary embodiment, the following detailed description is provided for detecting a real-time earthquake event and determining stability and safety status of mechanical structure due to the earthquake event. It should be appreciated by the person skilled in the art to apply the system and method of the present invention to other aforementioned natural disaster with appropriate modifications.

The present invention provides a system (100) for determining real-time status of mechanical structure resulting from natural disaster event as shown in Figure 1. The system (100) comprises a database (10), a real-time detection unit (20), a determination unit (30) and a warning alarm unit (60), wherein the determination unit (30) further comprises a pattern classification module (40) and a damage level determination module

(40).

The database (10) contains data of previous and current natural disaster event occurred in a surrounding area of the mechanical structure, and in the preferred embodiment the data may be data of previous earthquake events as well as record of speed of winds experienced by the mechanical structure The database (10) also contains records and data of vibrations produced due to human activities* for example vibrations due to excessive construction activity in a vicinity area of a particular structure, vibrations due to a number of vehicles travelling over a bridge structure and total number of visitors in a particular building area. Apart from the data of the vibrations, the database (10) also contains data of current and history status of the mechanical structure, for instance stability information of the mechanical structure, history of defects experienced by said: structure or the current status of the mechanical structure that is currently undergoing maintenance.

The real-time detection unit (20) comprises vibration sensor for detecting real-time vibrations, wherein the vibration sensor is preferably an accelerometer to collect real-time acceleration signals due to the natural disaster and: vibrations from other sources such as vibrations due to human activity. The real-time acceleration signals in the exemplary embodiment of an earthquake include p-wave acceleration peak and s-wave acceleration peak signals. The real-time detection unit (20) is preferably attached to or installed in the mechanical structure to accurately collect the acceleration signals that affected the mechanical structure. In another preferred embodiment, a plurality of real-time detection units (20) may be installed in the mechanical structure to collect a plurality of acceleration signals from different parts of the mechanical structure. For example, a plurality of; real-time detection units (20) may be installed along a bridge structure to collect a plurality of accelerations signals resulting from vehicle movements and traffic flow travelled along the bridge, as well as being installed underneath the bridge structure to collect seismic signal from underwater. It is also preferred in the present Invention to update the acceleration signals received from the real-time detection unit (20) in the database (10).

The present invention comprises a determination unit (30) to detect if there is any impending natural disaster event based on the acceleration signals collected from the real-time detection unit (20) and data retrieved from the database (10). Later, the determination unit (30) also determines status of the mechanical structure resulting from the natural disaster event detected earlier. The determination unit (30) comprises the pattern classification module (40) and the damage level determination module (50),

The pattern classification module (40) receives real-time acceleration signals from the real-time detection unit (20) and classifies pattern of the acceleration signals according to types of vibrations i.e. natural disaster or vibrations due to human activity, to form a pattern profile. The pattern profile comprises categories formed by the types of vibrations experienced by the mechanical structure. In an embodiment, there are preferably but not limited to four categories in the pattern profile as shown in table 1 , Different local authority may have different classification definition of the categories to adapt with different types of natural disaster and their geographical condition, and to take into account nature of the mechanical structure.

Table 1

A machine learning algorithm is preferably applied in the pattern classification module (40) to identify patterns of the acceleration signals. The machine learning algorithm takes input from pattern or trend of previous natural disaster events and vibrations due to human activities occurred in the surrounding area of the mechanical structure to distinguish between real natural disaster and other types of vibrations. The machine learning algorithm is then preferably comes up with a first set of reference values as threshold values to be used for comparison with the real-time acceleration signals in order to determine natural disaster event. Thereon, the real-time acceleration signals are continuously taken by the machine learning algorithm to update the pattern profile. In the example of an earthquake event, the first set of reference values includes but not limited to value of ambient noise peak, p-wave acceleration peak and s-wave acceleration peak signal. If intensity or severity of the natural disaster in combination with or without other types of vibrations exceeds the first set of reference values, an impending natural disaster event is subsequently detected by the pattern classification module (40):

If the natural disaster event is detected by the pattern classification module (40), the damage level determination module (50) is activated to determine status of the mechanical structure resulting from the natural disaster event. The damage level determination module (50) is configured to calculate and immediately determine the status of the mechanical structure using a second set of reference values. The second set of reference values comprising threshold values of damage level value and structure stability status.

The damage level value indicates intensity of the natural disaster according to any scale relevant to local authority alert system. In the present invention, a real-time damage level value of the natural disaster is extracted from the acceleration signal detected by the real-time detection unit (20). Then, the damage level determination module (50) classifies the real-time damage level value of the natural disaster according to a predetermined scale of the damage level value. In an embodiment of the present invention, the damage level value is classified into three scales such as minimum, intermediate and maximum with assigned value of the scale to 1 , 2 and 3 respectively. In another embodiment of the earthquake event, the scale of the damage level value may be in accordance to Modified Mercalli Intensity (MMI).

The structure stability status indicates condition of the mechanical structure. For example, the structure stability status may be classified into three conditions, safe, caution and restoration with assigned value of the condition to 1 , 2 and 3 respectively. The safe condition means that the structure is stable and safe to be occupied or stayed in, The caution condition means that the mechanical structure had experienced damage from previous natural disaster event in which said damage had been restored and the mechanical structure is currently in a stable condition. The restoration condition indicates that the mechanical structure is currently under maintenance due to damage caused by previous natural disaster event and is not completely safe to experience another natural disaster event. It should be understood that the structure stability status may not be limited to the aforementioned three conditions, as different complexity of the mechanical: structure may have their own condition classification according to local structure authority. The damage level determination module (50) identifies the structure stability status of the mechanical structure based on the data of current and history status of the mechanical structure stored in the database (10).

The damage level determination module (50) is further configured to combine the damage level value and structure stability status to compute a damage level matrix for determining safety and stability status of the mechanical structure. The damage level matrix is computed by multiplying the scale value of the damage level value and condition value of the structure stability status as shown in Table 2, wherein DLV is the damage level value and SSS is the structure stability status.

Table 2

Output values of the damage level matrix determine activation of the warning alarm unit (60) for notifying management authority of the mechanical structure. If the output values calculated by the damage level determination module (50) exceeds a safety threshold value predetermined by the management authority of the mechanical structure, then warning alarm unit (60) shall be activated. For example from the damage level matrix in Table 2, the damage level determination module (50) determines that the status of the mechanical structure status is considered safe if the output value is less than or equal to three. On the other hand, if the output values exceed or equal to four, the mechanical structure status is not considered safe to be occupied or stayed in,

In an embodiment of the present invention, the machine learning algorithm is also preferably applied in the damage level determination module (50) to extract real-time intensity of the natural disaster from the acceleration signal detected by the real-time detection unit (20), The machine learning algorithm is also used to acquire the structure stability status based on the data of current and history status of the mechanical structure stored in the database (10). The machine learning algorithm is then anticipated to adapt the real-time acceleration Signals to ensure that the second set of reference values are continuously updated in the database (10).

The warning alarm unit (60) is triggered to provide alert to notify about the natural disaster event. The warning alarm unit (60) may provide a sound alert as well as display warning information via a display device around the mechanical structure to deliver alert notification effectively to user or occupant in the mechanical structure so that an evacuation plan arranged by the management can be delivered to affected user. In another embodiment, email, message or mobile application may be implemented to deliver alert notification to users around the mechanical structure as the impending natural disaster may cause damage to the vicinity area.

Referring to Fig. 2, the present invention further provides a method (200) of determining real-time status of mechanical structure resulting from natural: disaster event, comprising the steps of receiving real-time acceleration signal (220) from the real-time detection unit (20); classifying pattern of the real-time acceleration signals according to the pattern profile (230) to detect a natural disaster event by the pattern classification module (40); activating the damage level determination module (50) if natural disaster event is detected (240) by the pattern classification module (40); classifying the damage level value of the natural disaster event according to a predetermined scale of damage level value (250) by the damage level determination module (50); identifying structure stability status of the mechanical structure (260) by the damage level determination module (50); combining the damage level value and structure stability status to compute the damage level matrix of the mechanical structure (270); and determining status of the mechanical structure from output value of the damage level matrix (280),

In a preferred embodiment, the method (200) further comprises a step of activating the warning alarm unit (60) for providing alert to notify about the natural disaster event (290), if the output value of the damage level matrix exceeds a predetermined safety threshold.

In a preferred embodiment, the method further comprise a step of forming the pattern profile by the pattern classification module (40) comprises steps of receiving data of previous natural disaster events and vibrations produced due to human activities from the database (10); classifying the received data into types of vibrations experienced by the mechanical structure; and updating the real-time acceleration signal received from the real-time detection unit (20) in the pattern profile. If intensity of the natural disaster in combination with or without other types of vibrations exceeds the first set of reference values, the damage level determination module (50) is activated to calculate and immediately the status of the mechanical structure is determined using the second set of reference values.

In a preferred embodiment, the step of classifying the damage level value of the natural disaster event (250) comprises a step of extracting a real-time damage level value of the natural disaster event from the acceleration signals by the damage level determination module (50). Therefore, the present invention may determine the status of mechanical structure resulting from the natural disaster event in real-time or as soon as the natural disaster is detected.

Figure 3 is an exemplary embodiment for method (200) of the present invention in determining real-time status of a bridge structure resulting from an earthquake event, Primarily, the system (100) receives data of previous earthquake events, whereby the data of the previous earthquake events is used to train the machine learning algorithm to identify the first set of reference values and the second set of reference values as threshold values to be used for comparison with the real-time acceleration signals. The determination unit (30) of the system (100) receives the first set of reference values and the second set of reference values from the machine learning algorithm and detects if there is any impending earthquake events based on the pattern profile formed prior to usage of the system (100) (330). The first set of reference values in the example includes ambient noise, p-wave and s-wave acceleration peak. The system (100) then receives real-time acceleration signals from the accelerometer (340), The real-time acceleration signals are compared with the first set of reference values (350) to detect an earthquake. If the real-time acceleration signals are less than the first set of reference values, earthquake is not detected. In the preferred embodiment, the machine learning algorithm further updates the pattern profile (360) based on the pattern received from the real-time acceleration signals. If the real-time acceleration signals exceed the first set of reference values , earthquake is detected and the damage level determination module (50) is subsequently activated. The damage level determination module (50) receives the second set of reference values ie. the damage level value and structure stability status, to further determine status of the bridge structure. The damage level determination module (50) computes output values of the damage level matrix based on scale value of the damage level value and condition value of the structure stability status of the bridge structure, and compares the output values with the safety threshold value (370)* If the output value exceeds the safety threshold value, the warning alarm unit (60) is activated (380) to alert management of the bridge structure for further safety and evacuation procedure* Otherwise, the warning alarm unit (60) is not activated, and therefore, false alarm can be avoided by considering only ominous values of the damage level matrix. However, the output value of the damage level matrix is still updated to the machine learning algorithm (330).

Referring to Figure 4 is an exemplary embodiment of a pattern profile of the aforementioned bridge structure. In the example, multiple accelerometers are installed In a multiple positions along the bridge structure to collect a plurality of the acceleration signals. The plurality of the acceleration signals may include any seismic signal from underwater area detected by accelerometers installed at bedrock, and vehicle movements on the bridge detected by the accelerometers installed along the bridge structure. The acceleration signals are further compiled to classify pattern of the acceleration signals according to types of vibrations to form the pattern profile similar to Table 1.

Figure 5 is an exemplary embodiment of the damage level matrix of the aforementioned bridge structure. In the example, there are three predetermined scales of the damage level value to indicate intensity of the earthquake, i.e. maximum, intermediate and minimum, while the structure status values are assigned with three conditions of the bridge structure, i.e. restoration, caution and safe. Output values of the damage level matrix further determine status of the bridge structure.

The system (100) can be implemented in electronic hardware and would be useful as a single station warning system or as an element in a distributed system. Evaluation of particular damage to the mechanical structure can be done as soon as a natural disaster is detected and report can be generated immediately, The system (100) is also capable to record latest information about status of the mechanical structure in terms of repair history and stability after an earthquake event.

The terms“a” and“an," as used herein, are defined as one or more than one. The term“plurality,” as used herein, is defined as two or more than two. The term“another,” as used herein, is defined as at least a second or more. The terms “including” and/or "having,” as used herein, are defined as comprising (i.e., open language).

While this invention has been particularly shown and described with reference to the exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention as defined by the appended claims.

Claims

1 A system (100) for determining real-time status of mechanical structure resulting from natural disaster event, comprising of:

a real-time detection unit (20) comprises vibration sensor for detecting real-time acceleration signal experienced by the mechanical structure;

a determination unit (30) for detecting a natural disaster event based on the real-time acceleration signal and data in a database (10), and for determining status of the mechanical structure resulting from the natural disaster event; and a warning alarm unit (60) for providing alert about the natural disaster event,

characterized in that, the determination unit (30) further comprising:

a pattern classification module (40) for detecting the natural disaster event based on a pattern profile, wherein the pattern profile is formed by types of vibrations experienced by the mechanical structure; and

a damage level determination module (50) for determining status of the mechanical structure resulting from the natural disaster event by computing a damage level matrix, wherein the damage level matrix is a combination of a damage level value and structure stability status of the mechanical structure.

2. The system (100) according to claim 1 , wherein the database (10) is configured to store data of natural disaster events, vibrations produced due to human activities and status of the mechanical structure. 3. The system (100) according to claim 1 , wherein the pattern classification module (40) is further configured to form a pattern profile by classifying pattern of previous natural disaster events and vibrations produced due to human activities from the database (10). 4. The system (100) according to claim 3, wherein the pattern profile is continuously updated with the real-time acceleration signal received from the real-time detection unit (20).

5. The system (100) according to claim 1 , wherein the damage level value indicates intensity of the natural disaster

6. The system (100) according to claim 1 , wherein the structure stability status is assigned with values to indicate condition of the mechanical structure, wherein the condition of the mechanical structure further comprises:

safe condition to indicate the mechanical structure is stable; caution condition to indicate the mechanical structure had experienced damage from previous natural disaster event in which said damage had been restored that the mechanical structure is currently stable; and

restoration condition to indicate the mechanical structure is currently under maintenance due to damage caused by previous natural disaster event and is not completely safe to experience another natural disaster event.

7. A method (200) of determining real-time status of mechanical structure resulting from natural disaster event, characterized by the steps of:

receiving real-time acceleration signal (220) from a real-time detection unit

(20);

classifying pattern of the real-time acceleration signals according to a pattern profile (230) to detect a natural disaster event by a pattern classification module (40);

activating a damage level determination module (50) if natural disaster event is detected (240) by the pattern classification module (40);

classifying a damage level value of the natural disaster event (250) according to a predetermined scale of damage level value by the damage level determination module (50);

identifying structure stability status of the mechanical structure (260) by the damage level determination module (50);

combining the damage level value and structure stability status to compute a damage level matrix of the mechanical structure (270); and

determining status of the mechanical structure from output value of the damage level matrix (280).

8. The method (200) according to claim 7, wherein the method (200) further comprises a step of activating a warning alarm unit (60) for providing alert about the natural disaster event (290), if the output value of the damage level matrix exceeds a predetermined safety threshold.

9. The method (200) according to claim 7, wherein the method (200) further comprising a step of forming a pattern profile by the pattern classification module (40), comprises steps of:

receiving data from a database (10), of previous natural disaster events and vibrations produced due to human activities;

classifying the received data into types of vibrations experienced by the mechanical structure; and

updating the real-time acceleration signal received from the real-time detection unit (20) in the patter profile.

10. The method (200) according to claim 7, wherein the step of classifying a damage level value of the natural disaster event (250) comprises a step of extracting a real-time damage level value of the natural disaster event from the acceleration: signals, by the damage level determination module (50).