Method and system for detecting structural condition of object

Abstract

This invention relates to a method and system for detecting the structural state of an object. The system detects the object and includes a signal generating device, a sensor, and a processor. The signal generating device provides a trigger signal, and the sensor receives the trigger signal through the object. The method includes: (S1) In the initial state, the processor processes the sensor's sensing results into initial time-domain and frequency-domain data; (S2) In the detection state, the sensor detects the trigger signal; (S3) The processor processes the sensor's output sensing results in the detection state into detection time-domain and frequency-domain data; (S4) The processor compares the detected data with the initial time-domain data to calculate a first difference score, and compares the detected data with the initial frequency-domain data to calculate a second difference score; (S5) When the processor determines that the first comparison result satisfies a first condition and the second comparison result satisfies a second condition, it outputs a warning signal.

Description

[Technical Field]

[0001] This case belongs to the field of object condition detection, and more particularly to a method and detection system for detecting the structural condition of an object. [Previous Technology]

[0002] Objects placed outdoors or in open spaces may be damaged due to external impacts or other reasons. For example, protective netting used in high-security areas or outdoor farming may be damaged due to aging from prolonged use, wild animals, or external impacts. Once the protective netting has defects or holes, it is difficult to effectively separate the spaces on both sides of the netting, resulting in the netting failing to provide adequate protection.

[0003] In order to confirm whether an object is damaged as described above, in most cases, it is inspected manually by visual inspection, and then maintenance is carried out when damage is found. However, such manual inspection requires a lot of manpower and is still prone to oversight due to human error. If the object is located outdoors and the area to be inspected is large, the disadvantages of manual inspection will become even more apparent.

[0004] Therefore, how to develop a method and system for detecting the structural state of an object to overcome the above-mentioned deficiencies, so as to monitor the structural state or physical damage of the object, is an urgent issue that needs to be addressed in this field. [Summary of the Invention]

[0005] The purpose of this case is to provide a method and system for detecting the structural state of an object. The method and system can automatically monitor the structural state of the object and detect whether the object is damaged. The detection accuracy can be improved by minimizing interference, thereby overcoming the drawbacks of manual inspection methods in the prior art and saving labor costs.

[0006] To achieve the above objectives, a broader embodiment of this invention provides a detection method applied to a detection system to detect the structural state of an object. The detection system includes a signal generating device, at least one sensor, and a processor. The signal generating device and at least one sensor are disposed on the object. The signal generating device provides a trigger signal, and the at least one sensor receives the trigger signal through the object and outputs the sensing result to the processor. The detection method includes: (S1) In the initial state, the processor processes the sensing result output by each sensor into initial time-domain data and initial frequency-domain data; (S2) In the detection state following the initial state, each sensor detects the trigger signal at least once within a preset time period; (S3) The processor processes each sensing result output by each sensor in the detection state into detection time-domain data and detection frequency-domain data. Data; (S4) The processor compares the difference between the detection time-domain data obtained by each sensor and the starting time-domain data to calculate the first difference score corresponding to each sensor, and the processor compares the difference between the detection frequency-domain data obtained by each sensor and the starting frequency-domain data to calculate the second difference score corresponding to each sensor; and (S5) The processor determines whether at least one first comparison result between at least one first difference score and a first predetermined value satisfies the first condition and whether at least one second comparison result between at least one second difference score and a second predetermined value satisfies the second condition, and when the determination result is that at least one first comparison result of a specified sensor in the at least one sensor satisfies the first condition and at least one second comparison result of the specified sensor satisfies the second condition, a warning signal reflecting that the sensor has detected an abnormality is output.

[0007] To achieve the above objective, another broader embodiment of this application provides a detection system for detecting the structural state of an object. The detection system includes: a signal generating device disposed on the object to provide a trigger signal; at least one sensor disposed on the object to receive the trigger signal through the object and output a sensing result; and a processor to receive the sensing result and analyze and process the sensing result. In the initial state, the processor processes the sensing result output by each sensor into initial time-domain data and initial frequency-domain data. In the detection state following the initial state, each sensor receives a trigger signal at least once within a preset time period. The processor also processes each sensing result output by each sensor in the detection state into corresponding detection time-domain data and detection frequency-domain data. The processor compares the difference between the detection time-domain data obtained by each sensor and the starting time-domain data to calculate a first difference score corresponding to each sensor. The processor also compares the difference between the detection frequency-domain data and the starting frequency-domain data to calculate a second difference score corresponding to each sensor. The processor determines whether at least one first comparison result between at least one first difference score and a first predetermined value satisfies a first condition and whether at least one second comparison result between at least one second difference score and a second predetermined value satisfies a second condition. When the determination result is that at least one first comparison result of a specified sensor among at least one of the at least one sensors satisfies the first condition and at least one second comparison result of the specified sensor satisfies the second condition, a warning signal reflecting that the sensor has detected an anomaly is output.

Implementation Method

[0020] Some typical embodiments embodying the features and advantages of this case will be described in detail in the following description. It should be understood that this case can have various variations in different forms, all of which do not depart from the scope of this case, and the descriptions and illustrations therein are essentially for illustrative purposes and not intended to limit this case.

[0021] Figure 1 is a flowchart illustrating the steps of the detection method in the first embodiment of this invention. Figure 2 is a system block diagram of the detection system applied to the detection method shown in Figure 1. Figure 3 is a structural diagram of the detection system shown in Figure 2 under the first embodiment. As shown in Figures 1, 2, and 3, the detection method of this invention can be applied to detection system 1 to detect the structural state of object 9. Object 9 can be, but is not limited to, protective meshes, nets, fences, or grid fences. In some embodiments, object 9 can be used in, but is not limited to, high-security areas, outdoor agriculture, animal husbandry, protected area fences, or zoos. The shape of object 9 can be, for example, a triangle as shown in Figure 3, but is not limited to this; it can also be rectangular, circular, or other arbitrary shapes. Furthermore, regardless of whether object 9 is planar or non-planar, the detection method disclosed in this invention can be applied to object 9. Detection system 1 includes a signal generating device 2, at least one sensor 3, and a processor 4. In this embodiment, the detection system 1 can automatically and instantly detect the physical structure state or condition (e.g., structural state) of the object 9, such as detecting whether the object 9 has a damaged or broken physical structure state.

[0022] The signal generating device 2 is disposed on the object 9 to provide a trigger signal. The trigger signal can be transmitted through the object 9, allowing the detection system 1 to detect the structural state of the object 9 based on the changes reflected by the transmission of the trigger signal on the object 9. In other words, the signal generating device 2 is equivalent to an energy source that provides a detection reference signal when the detection system 1 performs object detection. In some embodiments, the signal generating device 2 may be, but is not limited to, an actuator. In this embodiment, the actuator may generate a vibration wave as the trigger signal. The vibration wave is transmitted through the object 9, and the vibration wave has at least one vibration direction, vibration frequency, amplitude, and other characteristics. In this embodiment, the vibration direction of the vibration wave can be represented according to the X-axis direction, Y-axis direction and Z-axis direction (that is, the vibration wave can include three wave components in the X-axis direction, Y-axis direction and Z-axis direction). In other embodiments, the vibration direction can also be represented according to any single axis direction or any dual axis direction. The present invention does not limit this (that is, the vibration wave can include only one or two wave components in the X-axis direction, Y-axis direction and Z-axis direction).

[0023] In this embodiment, the sensor 3 in the detection system 1 may include a single sensor, as shown in Figure 3. In other embodiments, the sensor 3 in the detection system 1 may include a plurality of sensors. Each sensor 3 receives and detects the trigger signal provided by the signal generating device 2 through the object 9, and outputs a corresponding sensing result. The processor 4 receives the sensing result output by each sensor 3 and analyzes the sensing result output by each sensor 3 to process it into time-domain data and frequency-domain data, wherein the time-domain data includes the amplitude data of the trigger signal, and the frequency-domain data includes the component data of the trigger signal.

[0024] The detection method of this case includes the following steps. First, in step S1, at the initial state, the processor 4 processes the sensing results output by each sensor 3 into their respective initial time-domain data and initial frequency-domain data and records them. At the initial state, since the physical structure of the object 9 is in a normal state and without any damage, the sensing results output by the sensor 3 can actually reflect that the physical structure of the object 9 is in a normal state. Therefore, the initial time-domain data and initial frequency-domain data recorded by the processor 4 at the initial state reflect that the physical structure of the object 9 is in a normal state.

[0025] Then, in step S2, during the detection state following the initial state, each sensor 3 receives a trigger signal at least once within a preset time period. In some embodiments, the preset time period may be, for example, but not limited to, every five minutes, and each sensor 3 may receive a trigger signal once within the preset time period, but is not limited thereto, and may receive a plurality of trigger signals.

[0026] Then, in step S3, the processor 4 processes each sensing result output by each sensor 3 in the detection state into corresponding detection time-domain data and detection frequency-domain data. In the detection state, if the physical structure of the object 9 is damaged, the sensing result output by the sensor 3 in the detection state can actually reflect that the physical structure of the object 9 is damaged. At least one of the detection time-domain data and detection frequency-domain data processed by the processor 4 in the detection state can reflect that the physical structure of the object 9 is damaged. In some embodiments, both the detection time-domain data and the detection frequency-domain data processed by the processor 4 in the detection state can reflect that the physical structure of the object 9 is damaged.

[0027] Subsequently, in step S4, the processor 4 compares the difference between the detection time-domain data obtained by each sensor 3 in the detection state and the initial time-domain data recorded by each sensor 3 in the initial state to calculate a first difference score corresponding to each sensor 3. The processor 4 also compares the difference between the detection frequency-domain data obtained by each sensor 3 in the detection state and the initial frequency-domain data recorded by each sensor 3 in the initial state to calculate a second difference score corresponding to each sensor 3. The magnitude of the first difference score represents the difference between the detection time-domain data in the detection state and the initial time-domain data in the initial state; the magnitude of the second difference score represents the difference between the detection frequency-domain data in the detection state and the initial frequency-domain data in the initial state.

[0028] In one embodiment, a larger first difference score indicates a greater difference between the detection time-domain data obtained by sensor 3 in the detection state and the initial time-domain data recorded by the corresponding sensor 3 in the initial state; conversely, a smaller first difference score indicates a smaller difference between the detection time-domain data obtained by sensor 3 in the detection state and the initial time-domain data recorded by the corresponding sensor 3 in the initial state. A larger second difference score indicates a greater difference between the detection frequency-domain data obtained by sensor 3 in the detection state and the initial frequency-domain data recorded by the corresponding sensor 3 in the initial state; conversely, a smaller second difference score indicates a smaller difference between the detection frequency-domain data obtained by sensor 3 in the detection state and the initial frequency-domain data recorded by the corresponding sensor 3 in the initial state.

[0029] In another embodiment, a larger first difference score indicates a greater difference between the detection time-domain data obtained by each sensor 3 in the detection state and the initial time-domain data recorded by the corresponding sensor 3 in the initial state; conversely, a smaller first difference score indicates a smaller difference between the detection time-domain data obtained by each sensor 3 in the detection state and the initial time-domain data recorded by the corresponding sensor 3 in the initial state. A larger second difference score indicates a greater difference between the detection frequency-domain data obtained by each sensor 3 in the detection state and the initial frequency-domain data recorded by the corresponding sensor 3 in the initial state; conversely, a smaller second difference score indicates a smaller difference between the detection frequency-domain data obtained by each sensor 3 in the detection state and the initial frequency-domain data recorded by the corresponding sensor 3 in the initial state.

[0030] Then, in step S5, the processor 4 determines whether the first comparison result between the first difference score and the first predetermined value of each sensor 3 satisfies the first condition, and whether the second comparison result between the second difference score and the second predetermined value of each sensor 3 satisfies the second condition. When the first comparison result satisfies the first condition corresponding to the specified sensor 3 and the second comparison result satisfies the second condition corresponding to the specified sensor 3, a warning signal reflecting that the sensor 3 has detected an abnormality is output. In this embodiment, the first condition can be expressed as the condition that the first difference score is greater than the first predetermined value, and the second condition can be expressed as the condition that the second difference score is greater than the second predetermined value. In one embodiment, when at least one of the first difference score being greater than the first preset value and the second difference score being greater than the second preset value occurs, it indicates that the physical structure of the object 9 is damaged. In another embodiment, when the first difference score is greater than the first preset value and the second difference score is greater than the second preset value, it indicates that the physical structure of the object 9 is damaged. The first preset value is set based on the minimum difference between the detection time-domain data in the detection state and the initial time-domain data in the initial state, when the physical structure of object 9 is in a normal and acceptable state. The second preset value is set based on the minimum difference between the frequency domain data in the detection state and the frequency domain data in the initial state, when the physical structure of object 9 is in a normal and acceptable state.

[0031] In another embodiment, the first condition can be expressed as a first difference score greater than a first predetermined value, and the second condition can be expressed as a second difference score less than a second predetermined value. Therefore, in one embodiment, when the first difference score is greater than the first predetermined value or the second difference score is less than the first and second predetermined values, the sensing result of the designated sensor 3 indicates that the physical structure of the object 9 is damaged. Furthermore, in another embodiment, when the first difference score is greater than the first predetermined value and the second difference score is less than the first and second predetermined values, the sensing result of the designated sensor 3 indicates that the physical structure of the object 9 is damaged. It should be noted that the above two embodiments are merely examples, and the first and second conditions of the present invention can be adjusted according to design requirements; the present invention is not limited thereto.

[0032] As can be seen from the above, the detection method and detection system 1 of this invention utilize the signal generating device 2, sensor 3, and processor 4 in conjunction. The processor 4 can process the sensing results from the sensor 3 into time-domain and frequency-domain data to detect whether the physical structure of the object 9 is damaged. In this way, since the processor 4 of the detection system 1 detects whether the physical structure of the object 9 is damaged based on time-domain and frequency-domain data, interference from noise can be avoided, thus improving the accuracy of the detection. Furthermore, the detection method and detection system 1 of this invention can automatically and instantly detect whether the physical structure of the object 9 is damaged, thus saving a significant amount of labor costs. If the object 9 is located outdoors and the area to be inspected is large, the detection method and detection system 1 of this invention can save even more significant labor costs.

[0033] In some embodiments, the processor 4 can perform fast Fourier transform spectrum analysis and classification on the sensing results of the sensor 3, and encode them to convert and generate frequency domain data. In addition, the processor 4 can calculate the standard deviation of the sensing results of the sensor 3, and encode them to convert and generate time domain data.

[0034] In some embodiments, in step S2 above, each sensor 3 may receive trigger signals multiple times within a preset time period. Therefore, in step S4, the processor 4 obtains multiple first difference scores and multiple second difference scores. Then, in step S5, the processor 4 determines whether at least half of the first comparison results of the specified sensor 3 satisfy the first condition and whether at least half of the second comparison results of the specified sensor 3 satisfy the second condition. When the determination condition of step S5 is met, the sensing result of the specified sensor 3 indicates that the object 9 is abnormal, and the processor 4 will output a warning signal reflecting that the sensor 3 has detected an abnormality.

[0035] Figure 4 is a schematic flowchart of the detection method according to the second embodiment of this case, and Figure 5 is a schematic structural diagram of the detection system used in the detection method shown in Figure 4 under the second embodiment. As shown in Figures 4 and 5, in this embodiment, the architecture of the detection system 1a is similar to that of the detection system 1 in the first embodiment, so the similarities will not be described again. Unlike the previous embodiments, in this embodiment, the detection system 1a includes a plurality of sensors 3a, 3b, 3c, and 3d, and the plurality of sensors 3a, 3b, 3c, and 3d are separately disposed at different positions on the object 9.

[0036] In this embodiment, since there are multiple sensors 3a, 3b, 3c, and 3d, the detection method may include steps S1 to S5 of the detection method in the first embodiment, and may also include step S6. Step S6 is executed after step S5, and step S6 includes: the processor 4 collects all warning signals and analyzes the damaged location of the object 9 based on the setting positions of all sensors 3a, 3b, 3c, and 3d corresponding to all the collected warning signals. Taking the schematic diagram in Figure 5 as an example, the object 9 is divided into multiple blocks, such as the upper left block, the upper right block, the lower left block, and the lower right block, a total of four blocks. Each block is equipped with corresponding sensors 3a, 3b, 3c, and 3d. When the processor 4 determines that, for example, the first comparison result and the second comparison result corresponding to sensors 3a and 3b in the upper left block and the lower left block respectively meet the first condition and the second condition respectively, the processor 4 outputs warning signals indicating that sensors 3a and 3b in the upper left block and the lower left block respectively detected an abnormality. Furthermore, it collects all warning signals and analyzes the location of the damage to the object 9 based on the setting positions of all sensors 3a and 3b corresponding to all the collected warning signals. In other words, the processor 4 will analyze the location of the damage to the object 9 in the upper left block and the lower left block based on the setting positions of sensors 3a and 3b in the upper left block and the lower left block respectively.

[0037] In some embodiments, in step S1, the processor 4 performs Fast Fourier Transform Spectrum (FFT Spectrum) analysis and classification on the sensing results output by each sensor 3a, 3b, 3c, 3d, and sorts, encodes and processes them to generate corresponding initial frequency domain data. The processor 4 also performs time domain analysis operations, such as standard deviation operations, on the sensing results output by each sensor 3a, 3b, 3c, 3d to obtain corresponding initial time domain data.

[0038] Please refer to Figures 6A, 6B, 6C, 6D, 6E, 6F, and 6G. Figure 6A is a time-series waveform diagram showing the sensing results output by the plurality of sensors shown in Figure 5 when the physical structure of the object is in a normal state. Figure 6B is a time-series waveform diagram showing the sensing results output by the plurality of sensors shown in Figure 5 when the physical structure of the object is damaged. Figure 6C is a comparative diagram showing the change in amplitude of the sensing results output by the sensors when the physical structure of the object changes from normal to damaged. Figure 6D shows the time-series waveform diagram showing the sensing results output by the sensors when the object's physical structure is in a normal state and the object is exposed to wind. Intent; Figure 6E shows the timing waveform diagram of the sensing results output by the sensor in three situations: the physical structure of the object is in a normal state and is not exposed to wind, the physical structure of the object is in a normal state but is exposed to wind, and the physical structure of the object is damaged and is exposed to wind; Figure 6F shows the timing waveform diagram of the sensing results output by the sensor when the physical structure of the object is in a normal state and the object is exposed to rain; Figure 6G shows the timing waveform diagram of the sensing results output by the sensor in three situations: the physical structure of the object is in a normal state and is not exposed to rain, the physical structure of the object is in a normal state but is exposed to rain, and the physical structure of the object is damaged and is exposed to rain. When the signal generating device 2 is an actuator, it generates periodic or regular vibration waves as trigger signals to provide to the detection system 1a for detecting the structural state of the object 9. For example, the sensing results output by each sensor 3a, 3b, 3c, and 3d shown in Figure 5 can reflect the vibration amplitude in each axis after the trigger signal (e.g., the vibration wave generated by the actuator) is transmitted through the object 9. These amplitudes include, for example, the amplitude of vibration in the X-axis direction, the amplitude of vibration in the Y-axis direction, and the amplitude of vibration in the Z-axis direction, as well as the components in the X-axis direction, the components in the Y-axis direction, and the components in the Z-axis direction. These components can each have one or more specific frequencies. In addition to the trigger signal, these signals can also include white noise, background noise caused by environmental factors such as wind and rain, etc. In the timing waveform diagrams shown in Figures 6A to 6G, the horizontal axis represents the number of signal samples changing over time, and the vertical axis represents the normalized amplitude intensity.

[0039] Taking Figures 6A, 6B, and 6C as examples, when the physical structure of object 9 is in a normal state, the timing waveforms of the plurality of sensors 3a, 3b, 3c, and 3d are shown in Figure 6A. When the physical structure of object 9 is damaged, for example, when there is damage near sensor 3a, the timing waveforms of the plurality of sensors 3a, 3b, 3c, and 3d are shown in Figure 6B. From the Y-axis signal captured in Figure 6C, it can be seen that when... If the physical structure of object 9 is damaged and the damaged location is close to sensor 3a, the change in the amplitude of the vibration in the Y-axis direction in the timing waveform of sensor 3a can reflect that the damaged location of object 9 is close to sensor 3a. Therefore, the sensing result output by sensor 3a in the detection state can actually reflect that the physical structure of object 9 is damaged. The detection time domain data and detection frequency domain data processed by processor 4 in the detection state can also reflect that the physical structure of object 9 is damaged.

[0040] Furthermore, when the physical structure of object 9 is in a normal state and object 9 is exposed to wind, the timing waveform of the sensing result output by the sensor, such as sensor 3a, is shown in Figure 6D. As shown in Figure 6E, when the physical structure of object 9 is in a normal state and is not exposed to wind, when the physical structure of object 9 is in a normal state but is exposed to wind, and when the physical structure of object 9 is damaged and is exposed to wind, the amplitude of vibration in the Y-axis direction of the timing waveform of sensor 3a will be different. Therefore, the sensing result output by sensor 3a in the detection state can actually reflect whether it is exposed to wind and the physical structure of object 9. In this way, the detection time domain data and detection frequency domain data processed by processor 4 in the detection state can reflect the physical structure of object 9.

[0041] Furthermore, when the physical structure of object 9 is in a normal state and object 9 is exposed to rain, the timing waveform of the sensing result output by the sensor, such as sensor 3a, is shown in Figure 6F. As shown in Figure 6G, when the physical structure of object 9 is in a normal state and is not exposed to rain, when the physical structure of object 9 is in a normal state but is exposed to rain, and when the physical structure of object 9 is damaged and is exposed to rain, the amplitude of vibration in the Y-axis direction of the timing waveform of sensor 3a will be different. Therefore, the sensing result output by sensor 3a in the detection state can actually reflect whether it has been exposed to rain and the physical structure of object 9. In this way, the detection time domain data and detection frequency domain data processed by processor 4 in the detection state can reflect the physical structure of object 9.

[0042] In summary, this invention provides a detection method and system. The detection method and system utilize a signal generating device, a sensor, and a processor working together. The processor can process the sensor results into time-domain and frequency-domain data to detect the structural state of an object, such as whether the object is damaged. In this way, since the processor of the detection system detects whether the object is damaged based on time-domain and frequency-domain data, interference from noise can be avoided, thus improving detection accuracy. Furthermore, when there are multiple sensors, the detection method and system of this invention can use the processor to collect all warning signals and analyze the location of damage to the object based on the placement positions of all sensors corresponding to all collected warning signals. Since the structural state of the object is determined based on time-domain and frequency-domain data from multiple sensing results, similar to a multi-layer or hierarchical decision-making method, false positives regarding object damage can be reduced. In addition, the detection method and system of this invention automatically and in real-time detect whether an object is damaged, thus saving significant labor costs. If the object is located outdoors and the area to be inspected is large, the inspection method and system in this case can significantly save a lot of manpower costs. [Simplified Explanation of the Diagram]

[0008] Figure 1 is a schematic flowchart of the detection method of the first embodiment of this case;

[0009] Figure 2 is a system block diagram of the detection system used in the detection method shown in Figure 1;

[0010] Figure 3 is a schematic diagram of the detection system shown in Figure 2 under the first embodiment;

[0011] Figure 4 is a schematic diagram of the steps of the detection method of the second embodiment of this case;

[0012] Figure 5 is a schematic diagram of the detection system used in the detection method shown in Figure 4 under the second embodiment;

[0013] Figure 6A is a schematic diagram of the timing waveform of the sensing results output by the plurality of sensors shown in Figure 5 when the physical structure of the object is in a normal state.

[0014] Figure 6B is a time-series waveform diagram of the sensing results output by the plurality of sensors shown in Figure 5 when the physical structure of the object is damaged.

[0015] Figure 6C is a comparative schematic diagram showing the change in amplitude of the sensing result output by the sensor when the physical structure of the object changes from normal to damaged.

[0016] Figure 6D shows a time-series waveform diagram of the sensing result output by the sensor when the object's physical structure is in a normal state and the object is exposed to wind.

[0017] Figure 6E shows the timing waveform diagram of the sensing results output by the sensor in three situations: when the physical structure of the object is in normal condition and is not exposed to wind, when the physical structure of the object is in normal condition but is exposed to wind, and when the physical structure of the object is damaged and is exposed to wind.

[0018] Figure 6F shows a timing waveform diagram of the sensing result output by the sensor when the object's physical structure is in a normal state and the object is exposed to rain.

[0019] Figure 6G shows the timing waveform diagram of the sensing results output by the sensor in three situations: the physical structure of the object is in normal condition and has not been exposed to rain; the physical structure of the object is in normal condition but has been exposed to rain; and the physical structure of the object is damaged and has been exposed to rain.

Claims

1. A detection method applied to a detection system for detecting a structural state of an object, wherein the detection system includes a signal generating device, at least one sensor, and a processor, the signal generating device and the at least one sensor being disposed on the object, the signal generating device being used to provide a trigger signal, the at least one sensor being used to receive the trigger signal through the object, and output a sensing result to the processor, the detection method comprising: (S1) in an initial state, the processor processing the sensing result output by the at least one sensor into initial time-domain data and initial frequency-domain data; (S2) in a detection state following the initial state, the at least one sensor detecting the trigger signal at least once within a preset time period; (S3) the processor processing each sensing result output by the at least one sensor in the detection state into detection time-domain data and detection frequency-domain data; (S4) The processor compares the difference between the detection time-domain data obtained by the at least one sensor and the starting time-domain data to calculate a first difference score corresponding to the at least one sensor, and the processor compares the difference between the detection frequency-domain data obtained by the at least one sensor and the starting frequency-domain data to calculate a second difference score corresponding to the at least one sensor; and (S5) The processor determines whether at least one first comparison result between at least one of the first difference scores and a first predetermined value satisfies a first condition and whether at least one second comparison result between at least one of the second difference scores and a second predetermined value satisfies a second condition, and when the determination result is that at least one of the first comparison results corresponding to a specified sensor among the at least one sensor satisfies the first condition and at least one of the second comparison results corresponding to the specified sensor satisfies the second condition, a warning signal reflecting that the sensor detected an abnormality is output; The at least one sensor includes a plurality of the sensors, which are separately disposed on the object, and the detection method further includes step (S6), which is performed after step (S5) is completed. Step (S6) includes: the processor collecting all the warning signals and analyzing the damaged location of the object based on the setting position of all the sensors corresponding to all the collected warning signals.

2. The detection method as claimed in claim 1, wherein the signal generating device includes an actuator that generates a vibration wave as the trigger signal, the vibration wave having at least one vibration direction.

3. The detection method as claimed in claim 2, wherein the at least one vibration direction is represented according to an X-axis direction, a Y-axis direction and a Z-axis direction, the initial time-domain data and the detection time-domain data respectively include the amplitude data of the trigger signal vibrating in the X-axis direction, the amplitude data of the trigger signal vibrating in the Y-axis direction and the amplitude data of the trigger signal vibrating in the Z-axis direction, and the initial frequency-domain data and the detection frequency-domain data respectively include the component data of the trigger signal in the X-axis direction, the component data of the trigger signal in the Y-axis direction and the component data of the trigger signal in the Z-axis direction.

4. The detection method as described in claim 1, wherein the initial time-domain data, the detection time-domain data, the initial frequency-domain data, and the detection frequency-domain data are all encoded data.

5. The detection method as claimed in claim 1, wherein in step (S2), the at least one sensor detects the trigger signal multiple times within a preset time period.

6. The detection method as claimed in claim 5, wherein in step (S4), when the processor determines that at least half of the first comparison results corresponding to the designated sensor satisfy the first condition and at least half of the second comparison results corresponding to the designated sensor satisfy the second condition, the processor outputs a warning signal reflecting that the sensor has detected an abnormality.

7. A detection system for detecting the structural state of an object, the detection system comprising: a signal generating device disposed on the object for providing a trigger signal; At least one sensor is disposed on the object to receive the trigger signal through the object and output a sensing result; The system includes a processor that receives the sensing result and analyzes and processes it. In an initial state, the processor processes the sensing result output by the at least one sensor into initial time-domain data and initial frequency-domain data. In a subsequent detection state, the at least one sensor receives the trigger signal at least once within a preset time period. The processor processes each sensing result output by the at least one sensor in the detection state into corresponding detection time-domain data and detection frequency-domain data. The processor compares the difference between the detection time-domain data obtained by the at least one sensor and the initial time-domain data to calculate a first difference score corresponding to the at least one sensor. The processor compares the difference between the detected frequency domain data and the initial frequency domain data to calculate a second difference score corresponding to the at least one sensor. The processor determines whether at least one first comparison result between at least one of the first difference scores and a first predetermined value satisfies a first condition and whether at least one second comparison result between at least one of the second difference scores and a second predetermined value satisfies a second condition. When the determination result is that at least one of the first comparison results corresponding to a specified sensor among the at least one sensor satisfies the first condition and at least one of the second comparison results corresponding to the specified sensor satisfies the second condition, a warning signal reflecting that the sensor detected an abnormality is output. The at least one sensor includes a plurality of sensors, which are separately disposed on the object. The processor collects all the warning signals and analyzes the damage location of the object based on the placement positions of all the sensors corresponding to all the collected warning signals.

8. The detection system as claimed in claim 7, wherein the signal generating device includes an actuator that generates a vibration wave as the trigger signal, the vibration wave having at least one vibration direction.

9. The detection system of claim 8, wherein the at least one vibration direction is represented according to an X-axis direction, a Y-axis direction and a Z-axis direction, and the initial time-domain data and the detection time-domain data respectively include amplitude data of the trigger signal vibrating in the X-axis direction, amplitude data of the trigger signal vibrating in the Y-axis direction and amplitude data of the trigger signal vibrating in the Z-axis direction, and the initial frequency-domain data and the detection frequency-domain data respectively include component data of the trigger signal in the X-axis direction, component data of the trigger signal in the Y-axis direction and component data of the trigger signal in the Z-axis direction.

10. The detection system as claimed in claim 7, wherein the initial time-domain data, the detection time-domain data, the initial frequency-domain data, and the detection frequency-domain data are encoded data.

11. The detection system of claim 7, wherein in the initial state, the processor performs fast Fourier spectrum analysis and classification on the sensing results output by the at least one sensor and encodes them to generate the initial frequency domain data, wherein the processor calculates a standard deviation on the sensing results output by the at least one sensor and encodes them to generate the initial time domain data.

12. The detection system as claimed in claim 7, wherein the at least one sensor receives the trigger signal multiple times within the preset time period.

13. The detection system of claim 12, wherein the processor outputs a warning signal reflecting that the sensor has detected an anomaly when it determines that at least half of the first comparison results corresponding to the designated sensor satisfy the first condition and at least half of the second comparison results corresponding to the designated sensor satisfy the second condition.

14. The detection system as claimed in claim 7 or 12, wherein the processor performs fast Fourier spectrum analysis and classification on the sensing results output by the at least one sensor and encodes them to generate the detection frequency domain data, and the processor calculates a standard deviation on the sensing results output by the at least one sensor and encodes them to generate the detection time domain data.

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