A vibration sensor system, a vibration detection method, and a detection device

Abstract

The application provides a vibration sensor system, a vibration detection method and a detection device. The vibration sensor system comprises a sensing unit, a data transmission unit, a user terminal, a structural vibration signal data platform and a flight mobile positioning device; the sensing unit is connected with the user terminal and the structural vibration signal data platform through the data transmission unit; the sensing unit is arranged on the flight mobile positioning device, and a control signal end of the flight mobile positioning device is connected with the user terminal.

Description

Technical Field

[0001] This invention proposes a vibration sensor system, a vibration detection method, and a detection device, belonging to the field of sensor technology. Background Technology

[0002] With the rapid development of infrastructure construction, the detection and maintenance of infrastructure operation status is becoming increasingly important. Assessing the technical condition of infrastructure structures by testing their inherent modalities has become a common method. However, due to the increasing number of large structures such as buildings and bridges, traditional testing methods require personnel to deploy sensors, making the testing work time-consuming and labor-intensive, significantly reducing work efficiency. Summary of the Invention

[0003] This invention provides a vibration sensor system, vibration detection method, and detection device to overcome the shortcomings of traditional sensors. Because this sensor has modules for flight and positioning, it can automatically fly and land at a predetermined location according to the experimental design scheme, eliminating the need for manual placement and installation, greatly improving operational efficiency and safety. The technical solution adopted is as follows:

[0004] A vibration sensor system includes a sensing unit 1, a data transmission unit 2, a user terminal 3, a structural vibration signal data platform 4, and a flight mobile positioning device 5. The sensing unit 1 establishes data connections with the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2. The sensing unit is mounted on the flight mobile positioning device 5, and the control signal terminal of the flight mobile positioning device establishes a data connection with the user terminal 3.

[0005] Furthermore, the sensing unit 1 includes a vibration sensing unit 11 and a data acquisition unit 12; the sensor signal output terminal of the vibration sensing unit 11 is connected to the signal acquisition terminal of the data acquisition unit 12; the signal output terminal of the data acquisition unit 12 is connected to the signal input terminal of the data transmission unit 2.

[0006] Furthermore, the vibration sensing unit 11 is equipped with a vibration sensor for sensing the vibration signal of the structure to be detected.

[0007] Furthermore, the flight mobile positioning device 5 uses one or more drones; the number of drones is the same as the number of sensing units 1, and each sensing unit 1 is mounted on a drone.

[0008] A vibration detection method for a vibration sensor system, applied to the aforementioned vibration sensor system, the vibration detection method comprising:

[0009] User terminal 3 controls flight mobile positioning device 5 to load the sensing unit 1 and reach the structure to be detected according to the detection task;

[0010] The sensing unit 1 detects the vibration signal of the structure to be detected in real time, obtains vibration data, and sends the vibration data to the user terminal 3 and the structure vibration signal data platform 4 through the data transmission unit 2.

[0011] The user terminal 3 performs data analysis on the received vibration data, obtains the data analysis results, and stores the data analysis results and vibration data together.

[0012] The structural vibration signal data platform 4 permanently stores and manages the received vibration data.

[0013] Furthermore, the user terminal 3 controls the flight motion positioning device 5 to load the sensing unit 1 onto the structure to be detected according to the detection task, including:

[0014] User terminal 3 receives detection tasks in real time and extracts the target object of the structure to be detected corresponding to the detection task in the detection task.

[0015] Extract the structure of the target object, and obtain the position and number of the points to be detected in the target object based on the structure of the target object;

[0016] The required number of sensing units 1 is set according to the location and number of the points to be detected, and the same number of flight mobile positioning devices 5 as the required number of sensing units 1 are retrieved to carry the sensing units 1 to the corresponding position of the points to be detected.

[0017] Further, the required number of sensing units 1 is set according to the location and number of the points to be detected, and a flight motion positioning device 5 with the same number of required sensing units 1 is retrieved to carry the sensing units 1 to the corresponding location of the point to be detected, including:

[0018] Extract the position of the point to be detected, and obtain the straight-line distance between every two adjacent points to be detected;

[0019] A calibration distance is set based on the straight-line distance between each pair of adjacent test points, and test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance are grouped together to form multiple test point groups;

[0020] Extract the number of test points contained in each test point group, and set the number of sensing units 1 required for each test point group according to the number of test points. The principle for setting the number of sensing units 1 is as follows: in each test point group, if the total number of test points in the group is less than N, one sensing unit 1 is used; if the total number of test points in the group exceeds N, then every three test points are grouped together and one sensing unit 1 is used. Furthermore, if the number of remaining test points in a group exceeds 0.5N, then the remaining test points in the group are detected using a separate sensing unit 1; if the number of remaining test points in a group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing units 1 for detection. N is determined by the following formula:

[0021]

[0022] Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points to be detected.

[0023] For each group of points to be tested, a flight mobile positioning device 5 corresponding to the number of sensing units 1 required for the group of points to be tested is retrieved, and the flight mobile positioning device 5 is controlled to carry the sensing units 1 to the corresponding position of the group of points to be tested.

[0024] The calibration distance is obtained using the following formula:

[0025]

[0026] Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected;

[0027] Meanwhile, reference distance D c Obtain it using the following formula:

[0028]

[0029] Among them, D pk1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

[0030] A vibration detection system for a vibration sensor system, comprising the aforementioned vibration sensor system, wherein the vibration detection system includes:

[0031] The task control execution module is used by the user terminal 3 to control the flight mobile positioning device 5 to load the sensing unit 1 onto the structure to be detected according to the detection task.

[0032] The data transmission control module is used to detect the vibration signal of the structure to be detected in real time by the sensing unit 1, obtain vibration data, and send the vibration data to the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2.

[0033] The data analysis module is used by the user terminal 3 to perform data analysis on the received vibration data, obtain data analysis results, and store the data analysis results and vibration data together.

[0034] The data storage management module is used by the structural vibration signal data platform 4 to permanently store and manage the received vibration data.

[0035] Furthermore, the task control execution module includes:

[0036] The first extraction module is used for the user terminal 3 to receive the detection task in real time and extract the target object of the structure to be detected corresponding to the detection task in the detection task.

[0037] The second extraction module is used to extract the structure of the target object and obtain the position and number of the points to be detected in the target object based on the structure of the target object.

[0038] The retrieval module is used to set the required number of sensing units 1 according to the location and number of the points to be detected, and to retrieve the same number of flight mobile positioning devices 5 as the required number of sensing units 1 to carry the sensing units 1 to the corresponding position of the points to be detected.

[0039] Furthermore, the retrieval module includes:

[0040] The distance information extraction module is used to extract the position of the point to be detected and obtain the straight-line distance between each two adjacent points to be detected;

[0041] The grouping module is used to set a calibration distance based on the straight-line distance between each pair of adjacent test points, and to group test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance into a group, forming multiple test point groups;

[0042] The quantity setting module is used to extract the number of test points contained in each test point group and set the number of sensing units 1 required for each test point group according to the number of test points. The principle for setting the number of sensing units 1 is as follows: in each test point group, if the total number of test points in the group is less than N, one sensing unit 1 is used; if the total number of test points in the group exceeds N, then every three test points are grouped together and one sensing unit 1 is used. Furthermore, if the number of remaining test points in a group exceeds 0.5N, then the remaining test points in the group are detected using a separate sensing unit 1; if the number of remaining test points in a group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing units 1 for detection. N is determined by the following formula:

[0043]

[0044] Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points to be detected.

[0045] The execution module is used to retrieve the flight motion positioning device 5 corresponding to the number of sensing units 1 required for each group of points to be detected, and to control the flight motion positioning device 5 to carry the sensing units 1 to the corresponding position of the group of points to be detected.

[0046] The calibration distance is obtained using the following formula:

[0047]

[0048] Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected;

[0049] Meanwhile, reference distance D c Obtain it using the following formula:

[0050]

[0051] Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

[0052] Beneficial effects of this invention:

[0053] This invention proposes a vibration sensor system, vibration detection method, and detection device that overcomes the shortcomings of traditional sensors. Because this sensor has modules for flight and positioning, it can automatically fly and land at a predetermined location according to the experimental design scheme, eliminating the need for manual sensor placement and installation, thus greatly improving operational efficiency and safety. Simultaneously, the vibration sensor system, vibration detection method, and detection device proposed in this invention effectively improve the rationality of the use of flight mobile positioning devices and the planning of vibration detection strategies, preventing resource waste due to excessive use of flight mobile positioning devices and reduced measurement efficiency due to insufficient use. Attached Figure Description

[0054] Figure 1 This is a system block diagram of the vibration sensor system described in this invention;

[0055] Figure 2 This is a flowchart of the vibration sensor method described in this invention;

[0056] Figure 3 This is a schematic diagram of the vibration sensor device described in this invention;

[0057] (1. Sensing unit; 2. Data transmission unit; 3. User terminal; 4. Structural vibration signal data platform; 5. Flight mobile positioning device; 11. Vibration sensing unit; 12. Data acquisition unit). Detailed Implementation

[0058] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0059] This invention provides a vibration sensor system, such as... Figure 1As shown, the vibration sensor system includes a sensing unit 1, a data transmission unit 2, a user terminal 3, a structural vibration signal data platform 4, and a flight mobile positioning device 5. The sensing unit 1 establishes data connections with the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2. The sensing unit is mounted on the flight mobile positioning device 5, and the control signal terminal of the flight mobile positioning device establishes a data connection with the user terminal 3.

[0060] The sensing unit 1 includes a vibration sensing unit 11 and a data acquisition unit 12. The sensor signal output terminal of the vibration sensing unit 11 is connected to the signal acquisition terminal of the data acquisition unit 12. The signal output terminal of the data acquisition unit 12 is connected to the signal input terminal of the data transmission unit 2. The vibration sensing unit 11 contains a vibration sensor for sensing the vibration signal of the structure to be detected. The flight mobile positioning device 5 uses one or more drones; the number of drones is the same as the number of sensing units 1, and each sensing unit 1 is mounted on one drone.

[0061] The working principle of the above technical solution is as follows:

[0062] Sensing unit 1, which has a built-in vibration sensor 11, is responsible for sensing the vibration signal of the structure under test.

[0063] The data acquisition unit 12 is integrated with the vibration sensing unit 11 and is responsible for acquiring the vibration signal data of the vibration sensing unit 11.

[0064] The data transmission unit 2 is used to send the vibration signal data collected by the data acquisition unit 2 to the user terminal 3 and the structural vibration signal data platform 4.

[0065] User terminal 3 receives, stores, and analyzes vibration signals sent by data transmission unit 2; data acquisition unit 12 has temporary data storage and analysis functions;

[0066] The structural vibration signal data platform 4 has permanent data storage, data management and analysis functions.

[0067] The flight mobile positioning unit 5 is an unmanned aerial vehicle (UAV) that is responsible for sending the automatic positioning vibration sensor to the predetermined location according to user instructions.

[0068] The technical effects of the above-mentioned solution are as follows: The vibration sensor detection device proposed in this embodiment overcomes the shortcomings of traditional sensors. Because this sensor has modules for flight and positioning, it can automatically fly and land at a predetermined location according to the experimental design scheme, eliminating the need for manual placement and installation, thus greatly improving operational efficiency and safety. Simultaneously, the vibration sensor detection device proposed in this invention effectively improves the rationality of the use of the flight mobile positioning device and the rationality of vibration detection strategy planning, preventing resource waste due to excessive use of the flight mobile positioning device and reduced measurement efficiency due to insufficient use. Furthermore, it achieves automatic positioning of the vibration sensor and provides real-time monitoring and long-term storage of structural vibration signals, as well as data management and analysis functions through data acquisition, transmission, and analysis. This automatic positioning vibration sensor system can be widely used in structural monitoring, fault diagnosis, predictive maintenance, and other fields, helping to improve structural safety and performance.

[0069] This invention provides a vibration detection method for a vibration sensor system, applicable to the aforementioned vibration sensor system, such as... Figure 2 As shown, the vibration detection method includes:

[0070] S1. User terminal 3 controls flight mobile positioning device 5 to load the sensing unit 1 and reach the structure to be detected according to the detection task.

[0071] S2. The sensing unit 1 detects the vibration signal of the structure to be detected in real time, obtains vibration data, and sends the vibration data to the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2.

[0072] S3. The user terminal 3 performs data analysis on the received vibration data, obtains the data analysis results, and stores the data analysis results and vibration data together.

[0073] S4. The structural vibration signal data platform 4 permanently stores and manages the received vibration data.

[0074] The working principle of the above technical solution is as follows: First, the user terminal 3 controls the flight mobile positioning device 5 to load the sensing unit 1 onto the structure to be tested according to the detection task; then, the sensing unit 1 detects the vibration signal of the structure to be tested in real time, obtains vibration data, and sends the vibration data to the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2; after that, the user terminal 3 performs data analysis on the received vibration data, obtains data analysis results, and stores the data analysis results and vibration data together; finally, the structural vibration signal data platform 4 permanently stores and manages the received vibration data.

[0075] The technical effects of the above-mentioned solution are as follows: The vibration sensor detection method proposed in this embodiment overcomes the shortcomings of traditional sensors. Because this sensor has modules for flight and positioning, it can automatically fly and land at a predetermined location according to the experimental design scheme, eliminating the need for manual placement and installation, thus greatly improving operational efficiency and safety. Simultaneously, the vibration sensor detection method proposed in this invention effectively improves the rationality of the use of the flight mobile positioning device and the planning of vibration detection strategies, preventing resource waste due to excessive use of the flight mobile positioning device and reduced measurement efficiency due to insufficient use. Furthermore, it achieves automatic positioning of the vibration sensor and provides real-time monitoring and long-term storage of structural vibration signals, as well as data management and analysis functions through data acquisition, transmission, and analysis. This automatic positioning vibration sensor system can be widely used in structural monitoring, fault diagnosis, predictive maintenance, and other fields, helping to improve structural safety and performance.

[0076] In one embodiment of the present invention, the user terminal 3 controls the flight motion positioning device 5 to load the sensing unit 1 onto the structure to be detected according to the detection task, including:

[0077] S101. User terminal 3 receives detection tasks in real time and extracts the target object of the structure to be detected corresponding to the detection task in the detection task.

[0078] S102. Extract the structure of the target object, and obtain the position and number of the points to be detected in the target object based on the structure of the target object;

[0079] S103. Set the required number of sensing units 1 according to the location and number of the points to be detected, and retrieve the same number of flight mobile positioning devices 5 as the required number of sensing units 1 to carry the sensing units 1 to the corresponding position of the points to be detected.

[0080] The working principle of the above technical solution is as follows: First, the user terminal 3 receives the detection task in real time and extracts the target object of the structure to be detected corresponding to the detection task in the detection task;

[0081] Then, the structure of the target object is extracted, and the location and number of the points to be detected in the target object are obtained based on the structure of the target object;

[0082] Finally, the required number of sensing units 1 is set according to the location and number of the points to be detected, and the same number of flight mobile positioning devices 5 as the required number of sensing units 1 are retrieved to carry the sensing units 1 to the corresponding position of the points to be detected.

[0083] The technical effect of the above solution is that the user terminal 3 can receive detection tasks in real time and extract the target object of the structure to be detected corresponding to the detection task. This allows the system to perform vibration monitoring of specific structures according to user needs.

[0084] Meanwhile, the above technical solution can extract the structure of the target object and obtain the location and number of points to be detected based on the structural information. This means that the system can determine the specific location that needs to be monitored in order to accurately deploy vibration sensors.

[0085] Based on the location and number of points to be detected, the system can determine the required number of sensor units 1. Simultaneously, the system retrieves the same number of flying mobile positioning devices 5 as the number of sensor units and carries the sensor units 1 to the corresponding locations of the points to be detected. This enables automated deployment, reducing manual intervention and time costs.

[0086] Therefore, the technical solution proposed in this embodiment achieves automated detection task reception, target structure extraction, acquisition of the location of the point to be detected, and deployment of sensing units. In this way, the system can quickly and accurately deploy vibration sensors according to user needs and the characteristics of the target structure, enabling the monitoring and analysis of vibration signals from the structure under test. This improves monitoring efficiency and accuracy, helping users to promptly detect abnormal vibrations in the structure and take corresponding measures for maintenance and repair.

[0087] In one embodiment of the present invention, the required number of sensing units 1 is set according to the location and number of the points to be detected, and a flight motion positioning device 5 with the same number of required sensing units 1 is retrieved to carry the sensing units 1 to the corresponding location of the points to be detected, including:

[0088] S1031. Extract the position of the point to be detected and obtain the straight-line distance between each two adjacent points to be detected;

[0089] S1032. Set a calibration distance based on the straight-line distance between each pair of adjacent test points, and divide the test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance into a group to form multiple test point groups;

[0090] S1033. Extract the number of test points contained in each test point group, and set the number of sensing units 1 required for each test point group according to the number of test points; wherein, the principle for setting the number of sensing units 1 required is as follows: in each test point group, if the total number of test points in the test point group is less than N test points, one sensing unit 1 is used; if the total number of test points in the test point group exceeds N test points, then every three test points are grouped together and one sensing unit 1 is used; and when the number of remaining test points in a group exceeds 0.5N, then the remaining test points in the group are detected by a separate sensing unit 1; when the number of remaining test points in a group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing unit 1 for detection; wherein, N is determined by the following formula:

[0091]

[0092] Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points to be detected.

[0093] For each group of points to be tested, a flight mobile positioning device 5 corresponding to the number of sensing units 1 required for the group of points to be tested is retrieved, and the flight mobile positioning device 5 is controlled to carry the sensing units 1 to the corresponding position of the group of points to be tested.

[0094] The calibration distance is obtained using the following formula:

[0095]

[0096] Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected;

[0097] Meanwhile, reference distance Dc Obtain it using the following formula:

[0098]

[0099] Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

[0100] The working principle of the above technical solution is as follows: First, the position of the point to be detected is extracted, and the straight-line distance between each two adjacent points to be detected is obtained;

[0101] Then, a calibration distance is set according to the straight-line distance between each pair of adjacent test points, and test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance are grouped together to form multiple test point groups;

[0102] Finally, the number of test points contained in each test point group is extracted, and the number of sensing units 1 required for each test point group is set according to the number of test points.

[0103] The technical effect of the above solution is as follows: by extracting the location information of the points to be detected, the specific location of each point can be determined. Then, the system calculates the straight-line distance between any two adjacent points, i.e., the shortest distance between the two points. This allows the system to obtain the distance information between the points to be detected.

[0104] A calibration distance is set based on the straight-line distance between any two adjacent test points. Test points whose straight-line distance is less than the calibration distance are grouped together to form multiple test point groups. This allows the test points to be grouped according to certain rules, facilitating the subsequent deployment and management of sensing units.

[0105] The number of test points within each test point group is extracted, and the number of sensor units 1 required for each test point group is set based on the number of test points. This allows for the reasonable configuration of the number of sensor units according to the density of test points and the required monitoring accuracy.

[0106] Therefore, the technical solution proposed in this embodiment achieves reasonable grouping of the points to be detected and allocation of the number of sensing units by extracting the location of the points to be detected, calculating the straight-line distance, setting the calibration distance, dividing the points to be detected into groups, and setting the number of sensing units. This allows for more accurate monitoring of the vibration signals of the structure under test and improves the efficiency and accuracy of monitoring.

[0107] Meanwhile, the number of sensing units 1 is calculated based on the number of points to be detected in the group and the rules, thus achieving a reasonable allocation of the number of sensing units. For groups with fewer than N points to be detected, only one sensing unit 1 is needed; for groups with more than N points to be detected, every three points to be detected form a group, using one sensing unit 1, and the need for additional sensing units 1 is determined based on the number of remaining points to be detected.

[0108] Based on the drone's battery level and the maximum number of points to be detected at once (M) max By combining the total number of points to be detected (M), the energy efficiency of the drone can be optimized while ensuring detection effectiveness. The system can determine the number of sensor units for each drone deployment based on actual conditions, maximizing resource utilization.

[0109] By considering the minimum value (N) when the number of test points in the test point group is not unique. min The system can flexibly adapt to changes in the number of monitoring points. This allows it to meet the vibration monitoring needs of different structures and ensures that each group of monitoring points receives appropriate monitoring coverage.

[0110] Therefore, by using the above formula to calculate N, this technical solution can reasonably set the number of sensing units 1 required for each group of sensing points according to the total number of points to be detected and the specific conditions, thereby achieving optimized configuration of the number of sensing units, saving resources and flexibly adapting to different monitoring needs.

[0111] On the other hand, by calculating the straight-line distances between all adjacent points to be detected, the total number of straight-line distances m and the minimum straight-line distance D can be obtained. min and the maximum straight-line distance D max By analyzing the distribution of straight-line distances, we can determine the reference distance D. c The length of the calibration distance D0 is determined by the number of spacing points n. This allows the calibration distance to be determined based on actual conditions, which is then used for subsequent grouping of the test points and deployment of the sensing units.

[0112] Since the distribution of straight-line distance may vary depending on the structure to be tested, the above elements can be used to calculate and flexibly adapt to the vibration monitoring needs of different structures. The length of the calibration distance can be adjusted according to the actual situation to adapt to the changes in the distance between the test points.

[0113] By setting the calibration distance appropriately, it is possible to ensure that there is a suitable spacing between the test points within the test point group. This improves the accuracy of monitoring, reduces mutual interference between adjacent test points, avoids repeated data collection and redundant analysis, and helps to extract effective features of structural vibration signals.

[0114] Therefore, by using the above formula to calculate the calibration distance, this technical solution can determine the length corresponding to the calibration distance, so as to adapt to the vibration monitoring needs of different structures and improve the accuracy and efficiency of monitoring.

[0115] Simultaneously, by calculating the average straight-line distance D between adjacent points to be detected... p And analyze the straight-line distance within 0.7D. p The vertical distribution is determined, and the reference distance D is determined using the values ​​of k1 and k2. c This allows for the accurate determination of reference distances based on the average distance and distribution between the points to be detected, which can then be used for subsequent grouping of the points to be detected and deployment of the sensing units.

[0116] By distinguishing whether the straight-line distance exceeds 0.7D p That is, by using the values ​​of k1 and k2, the differences between the points to be detected can be considered. This allows the reference distance D to be adjusted according to the actual situation. c The size is adjusted to accommodate variations in distance between the points to be detected and the characteristics of the structure.

[0117] By accurately calculating the reference distance D c This ensures appropriate spacing between the test points within the test point group, while also taking into full account the distribution of straight-line distances. This improves monitoring accuracy and sensitivity, reduces mutual interference between adjacent test points, and optimizes the arrangement of sensing units and the acquisition of vibration signals.

[0118] Therefore, by utilizing the aforementioned elements to obtain the reference distance, this technical solution can accurately determine the reference distance D. c The value is adjusted to accommodate the differences between the points to be detected, thereby improving the accuracy and sensitivity of the monitoring.

[0119] According to one embodiment of the present invention, a vibration detection system for a vibration sensor system includes the vibration sensor system described above, wherein the vibration detection system includes:

[0120] The task control execution module is used by the user terminal 3 to control the flight mobile positioning device 5 to load the sensing unit 1 onto the structure to be detected according to the detection task.

[0121] The data transmission control module is used to detect the vibration signal of the structure to be detected in real time by the sensing unit 1, obtain vibration data, and send the vibration data to the user terminal 3 and the structural vibration signal data platform 4 through the data transmission unit 2.

[0122] The data analysis module is used by the user terminal 3 to perform data analysis on the received vibration data, obtain data analysis results, and store the data analysis results and vibration data together.

[0123] The data storage management module is used by the structural vibration signal data platform 4 to permanently store and manage the received vibration data.

[0124] The working principle of the above technical solution is as follows: First, the user terminal 3 is controlled by the task control execution module to control the flight mobile positioning device 5 to load the sensing unit 1 to the structure to be detected according to the detection task;

[0125] Then, the data transmission control module controls the sensing unit 1 to detect the vibration signal of the structure to be detected in real time, obtain vibration data, and send the vibration data to the user terminal 3 and the structure vibration signal data platform 4 through the data transmission unit 2;

[0126] Subsequently, the data analysis module controls the user terminal 3 to perform data analysis on the received vibration data, obtain the data analysis results, and store the data analysis results and vibration data together.

[0127] Finally, the data storage management module controls the structural vibration signal data platform 4 to permanently store and manage the received vibration data.

[0128] The technical effects of the above-mentioned solution are as follows: The vibration sensor detection system proposed in this embodiment overcomes the shortcomings of traditional sensors. Because the sensor has modules for flight and positioning, it can automatically fly and land at a predetermined location according to the experimental design scheme, eliminating the need for manual placement and installation, thus greatly improving operational efficiency and safety. Simultaneously, the vibration sensor detection method proposed in this invention effectively improves the rationality of the use of the flight mobile positioning device and the planning of vibration detection strategies, preventing resource waste due to excessive use of the flight mobile positioning device and reduced measurement efficiency due to insufficient use. Furthermore, it achieves automatic positioning of the vibration sensor and provides real-time monitoring and long-term storage of structural vibration signals, as well as data management and analysis functions through data acquisition, transmission, and analysis. This automatic positioning vibration sensor system can be widely used in structural monitoring, fault diagnosis, predictive maintenance, and other fields, helping to improve structural safety and performance.

[0129] In one embodiment of the present invention, the task control execution module includes:

[0130] The first extraction module is used for the user terminal 3 to receive the detection task in real time and extract the target object of the structure to be detected corresponding to the detection task in the detection task.

[0131] The second extraction module is used to extract the structure of the target object and obtain the position and number of the points to be detected in the target object based on the structure of the target object.

[0132] The retrieval module is used to set the required number of sensing units 1 according to the location and number of the points to be detected, and to retrieve the same number of flight mobile positioning devices 5 as the required number of sensing units 1 to carry the sensing units 1 to the corresponding position of the points to be detected.

[0133] The working principle of the above technical solution is as follows: First, the user terminal 3 is controlled by the first extraction module to receive the detection task in real time and extract the target object of the structure to be detected corresponding to the detection task in the detection task;

[0134] Then, the structure of the target object is extracted using the second extraction module, and the location and number of the points to be detected in the target object are obtained based on the structure of the target object.

[0135] Then, the retrieval module sets the required number of sensing units 1 according to the location and number of the points to be detected, and retrieves the same number of flight mobile positioning devices 5 as the required number of sensing units 1 to carry the sensing units 1 to the corresponding position of the points to be detected.

[0136] The technical effect of the above solution is that the user terminal 3 can receive detection tasks in real time and extract the target object of the structure to be detected corresponding to the detection task. This allows the system to perform vibration monitoring of specific structures according to user needs.

[0137] Meanwhile, the above technical solution can extract the structure of the target object and obtain the location and number of points to be detected based on the structural information. This means that the system can determine the specific location that needs to be monitored in order to accurately deploy vibration sensors.

[0138] Based on the location and number of points to be detected, the system can determine the required number of sensor units 1. Simultaneously, the system retrieves the same number of flying mobile positioning devices 5 as the number of sensor units and carries the sensor units 1 to the corresponding locations of the points to be detected. This enables automated deployment, reducing manual intervention and time costs.

[0139] Therefore, the technical solution proposed in this embodiment achieves automated detection task reception, target structure extraction, acquisition of the location of the point to be detected, and deployment of sensing units. In this way, the system can quickly and accurately deploy vibration sensors according to user needs and the characteristics of the target structure, enabling the monitoring and analysis of vibration signals from the structure under test. This improves monitoring efficiency and accuracy, helping users to promptly detect abnormal vibrations in the structure and take corresponding measures for maintenance and repair.

[0140] In one embodiment of the present invention, the retrieval module includes:

[0141] The distance information extraction module is used to extract the position of the point to be detected and obtain the straight-line distance between each two adjacent points to be detected;

[0142] The grouping module is used to set a calibration distance based on the straight-line distance between each pair of adjacent test points, and to group test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance into a group, forming multiple test point groups;

[0143] The quantity setting module is used to extract the number of test points contained in each test point group and set the number of sensing units 1 required for each test point group according to the number of test points. The principle for setting the number of sensing units 1 is as follows: in each test point group, if the total number of test points in the group is less than N, one sensing unit 1 is used; if the total number of test points in the group exceeds N, then every three test points are grouped together and one sensing unit 1 is used. Furthermore, if the number of remaining test points in a group exceeds 0.5N, then the remaining test points in the group are detected using a separate sensing unit 1; if the number of remaining test points in a group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing units 1 for detection. N is determined by the following formula:

[0144]

[0145] Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points to be detected.

[0146] The execution module is used to retrieve the flight motion positioning device 5 corresponding to the number of sensing units 1 required for each group of points to be detected, and to control the flight motion positioning device 5 to carry the sensing units 1 to the corresponding position of the group of points to be detected.

[0147] The calibration distance is obtained using the following formula:

[0148]

[0149] Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected;

[0150] Meanwhile, reference distance D c Obtain it using the following formula:

[0151]

[0152] Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

[0153] The working principle of the above technical solution is as follows: First, the position of the point to be detected is extracted by the distance information extraction module, and the straight-line distance between each two adjacent points to be detected is obtained;

[0154] Then, the grouping module sets a calibration distance based on the straight-line distance between each pair of adjacent test points, and divides the test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance into a group, forming multiple test point groups;

[0155] Finally, the quantity setting module is used to extract the number of detection points contained in each group of detection points, and the number of sensing units 1 required for each group of detection points is set according to the number of detection points.

[0156] The technical effect of the above solution is as follows: by extracting the location information of the points to be detected, the specific location of each point can be determined. Then, the system calculates the straight-line distance between any two adjacent points, i.e., the shortest distance between the two points. This allows the system to obtain the distance information between the points to be detected.

[0157] A calibration distance is set based on the straight-line distance between any two adjacent test points. Test points whose straight-line distance is less than the calibration distance are grouped together to form multiple test point groups. This allows the test points to be grouped according to certain rules, facilitating the subsequent deployment and management of sensing units.

[0158] The number of test points within each test point group is extracted, and the number of sensor units 1 required for each test point group is set based on the number of test points. This allows for the reasonable configuration of the number of sensor units according to the density of test points and the required monitoring accuracy.

[0159] Therefore, the technical solution proposed in this embodiment achieves reasonable grouping of the points to be detected and allocation of the number of sensing units by extracting the location of the points to be detected, calculating the straight-line distance, setting the calibration distance, dividing the points to be detected into groups, and setting the number of sensing units. This allows for more accurate monitoring of the vibration signals of the structure under test and improves the efficiency and accuracy of monitoring.

[0160] Meanwhile, the number of sensing units 1 is calculated based on the number of points to be detected in the group and the rules, thus achieving a reasonable allocation of the number of sensing units. For groups with fewer than N points to be detected, only one sensing unit 1 is needed; for groups with more than N points to be detected, every three points to be detected form a group, using one sensing unit 1, and the need for additional sensing units 1 is determined based on the number of remaining points to be detected.

[0161] Based on the drone's battery level and the maximum number of points to be detected at once (M) max By combining the total number of points to be detected (M), the energy efficiency of the drone can be optimized while ensuring detection effectiveness. The system can determine the number of sensor units for each drone deployment based on actual conditions, maximizing resource utilization.

[0162] By considering the minimum value (N) when the number of test points in the test point group is not unique. min The system can flexibly adapt to changes in the number of monitoring points. This allows it to meet the vibration monitoring needs of different structures and ensures that each group of monitoring points receives appropriate monitoring coverage.

[0163] Therefore, by using the above formula to calculate N, this technical solution can reasonably set the number of sensing units 1 required for each group of sensing points according to the total number of points to be detected and the specific conditions, thereby achieving optimized configuration of the number of sensing units, saving resources and flexibly adapting to different monitoring needs.

[0164] On the other hand, by calculating the straight-line distances between all adjacent points to be detected, the total number of straight-line distances m and the minimum straight-line distance D can be obtained.min and the maximum straight-line distance D max By analyzing the distribution of straight-line distances, we can determine the reference distance D. c The length of the calibration distance D0 is determined by the number of spacing points n. This allows the calibration distance to be determined based on actual conditions, which is then used for subsequent grouping of the test points and deployment of the sensing units.

[0165] Since the distribution of straight-line distance may vary depending on the structure to be tested, the above elements can be used to calculate and flexibly adapt to the vibration monitoring needs of different structures. The length of the calibration distance can be adjusted according to the actual situation to adapt to the changes in the distance between the test points.

[0166] By setting the calibration distance appropriately, it is possible to ensure that there is a suitable spacing between the test points within the test point group. This improves the accuracy of monitoring, reduces mutual interference between adjacent test points, avoids repeated data collection and redundant analysis, and helps to extract effective features of structural vibration signals.

[0167] Therefore, by using the above formula to calculate the calibration distance, this technical solution can determine the length corresponding to the calibration distance, so as to adapt to the vibration monitoring needs of different structures and improve the accuracy and efficiency of monitoring.

[0168] Simultaneously, by calculating the average straight-line distance D between adjacent points to be detected... p And analyze the straight-line distance within 0.7D. p The vertical distribution is determined, and the reference distance D is determined using the values ​​of k1 and k2. c This allows for the accurate determination of reference distances based on the average distance and distribution between the points to be detected, which can then be used for subsequent grouping of the points to be detected and deployment of the sensing units.

[0169] By distinguishing whether the straight-line distance exceeds 0.7D p That is, by using the values ​​of k1 and k2, the differences between the points to be detected can be considered. This allows the reference distance D to be adjusted according to the actual situation. c The size is adjusted to accommodate variations in distance between the points to be detected and the characteristics of the structure.

[0170] By accurately calculating the reference distance D c This ensures appropriate spacing between the test points within the test point group, while also taking into full account the distribution of straight-line distances. This improves monitoring accuracy and sensitivity, reduces mutual interference between adjacent test points, and optimizes the arrangement of sensing units and the acquisition of vibration signals.

[0171] Therefore, by utilizing the aforementioned elements to obtain the reference distance, this technical solution can accurately determine the reference distance D.c The value is adjusted to accommodate the differences between the points to be detected, thereby improving the accuracy and sensitivity of the monitoring.

[0172] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A vibration sensor system, characterized in that, The vibration sensor system includes a sensing unit (1), a data transmission unit (2), a user terminal (3), a structural vibration signal data platform (4), and a flight mobile positioning device (5); the sensing unit (1) establishes a data connection with the user terminal (3) and the structural vibration signal data platform (4) respectively through the data transmission unit (2); the sensing unit is set on the flight mobile positioning device (5), and the control signal terminal of the flight mobile positioning device establishes a data connection with the user terminal (3); The user terminal (3) is configured to obtain the location and number of the target points of the target object of the structure to be detected according to the detection task, and control the flight motion positioning device (5) to load the sensing unit (1) to reach the structure to be detected according to the location and number of the target points. The user terminal (3) is configured to execute the following group scheduling strategy: Extract the position of the point to be detected, and obtain the straight-line distance between every two adjacent points to be detected; A calibration distance is set based on the straight-line distance between each pair of adjacent test points, and test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance are grouped together to form multiple test point groups; Extract the number of test points contained in each test point group, and set the number of sensing units (1) required for each test point group according to the number of test points; wherein, the principle for setting the number of sensing units (1) required is as follows: in each test point group, if the total number of test points in the test point group is less than N test points, one sensing unit (1) is used; if the total number of test points in the test point group exceeds N test points, then every three test points are grouped into one group and one sensing unit (1) is used; and when the number of remaining test points in the group exceeds 0.5N, then the remaining test points in the group are detected by a separate sensing unit (1); when the number of remaining test points in the group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing unit (1) for detection; wherein, N is determined by the following formula: Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points. For each group of points to be tested, a flight mobile positioning device (5) corresponding to the number of sensing units (1) required for the group of points to be tested is retrieved, and the flight mobile positioning device (5) is controlled to carry the sensing units (1) to the corresponding position of the group of points to be tested. The calibration distance is obtained using the following formula: Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected; Meanwhile, reference distance D c Obtain it using the following formula: Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

2. The vibration sensor system according to claim 1, characterized in that, The sensing unit (1) includes a vibration sensing unit (11) and a data acquisition unit (12); the sensor signal output terminal of the vibration sensing unit (11) is connected to the signal acquisition terminal of the data acquisition unit (12); the signal output terminal of the data acquisition unit (12) is connected to the signal input terminal of the data transmission unit (2).

3. The vibration sensor system according to claim 2, characterized in that, The vibration sensing unit (11) is equipped with a vibration sensor for sensing the vibration signal of the structure to be detected.

4. The vibration sensor system according to claim 1, characterized in that, The flight mobile positioning device (5) uses one or more drones; the number of drones is the same as the number of sensing units (1), and each sensing unit (1) is mounted on a drone.

5. A vibration detection method for a vibration sensor system, applied to the vibration sensor system as described in claim 1, characterized in that, The vibration detection method includes: The user terminal (3) controls the flight mobile positioning device (5) to load the sensing unit (1) and reach the structure to be detected according to the detection task; The sensing unit (1) detects the vibration signal of the structure to be detected in real time, obtains vibration data, and sends the vibration data to the user terminal (3) and the structure vibration signal data platform (4) through the data transmission unit (2). The user terminal (3) performs data analysis on the received vibration data, obtains the data analysis results, and stores the data analysis results and vibration data together; The structural vibration signal data platform (4) permanently stores and manages the received vibration data; wherein, the user terminal (3) controls the flight mobile positioning device (5) to load the sensing unit (1) and arrive at the structure to be detected according to the detection task, including: The user terminal (3) receives the detection task in real time and extracts the target object of the structure to be detected corresponding to the detection task in the detection task; Extract the structure of the target object, and obtain the position and number of the points to be detected in the target object based on the structure of the target object; The required number of sensing units (1) is set according to the location and number of the points to be detected, and a flight motion positioning device (5) with the same number of required sensing units (1) is retrieved to carry the sensing units (1) to the corresponding location of the points to be detected; wherein, setting the required number of sensing units (1) according to the location and number of the points to be detected, and retrieving a flight motion positioning device (5) with the same number of required sensing units (1) to carry the sensing units (1) to the corresponding location of the points to be detected includes: Extract the position of the point to be detected, and obtain the straight-line distance between every two adjacent points to be detected; A calibration distance is set based on the straight-line distance between each pair of adjacent test points, and test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance are grouped together to form multiple test point groups; Extract the number of test points contained in each test point group, and set the number of sensing units (1) required for each test point group according to the number of test points; wherein, the principle for setting the number of sensing units (1) required is as follows: in each test point group, if the total number of test points in the test point group is less than N test points, one sensing unit (1) is used; if the total number of test points in the test point group exceeds N test points, then every three test points are grouped into one group and one sensing unit (1) is used; and when the number of remaining test points in the group exceeds 0.5N, then the remaining test points in the group are detected by a separate sensing unit (1); when the number of remaining test points in the group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing unit (1) for detection; wherein, N is determined by the following formula: Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points. For each group of points to be tested, a flight mobile positioning device (5) corresponding to the number of sensing units (1) required for the group of points to be tested is retrieved, and the flight mobile positioning device (5) is controlled to carry the sensing units (1) to the corresponding position of the group of points to be tested. The calibration distance is obtained using the following formula: Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected; Meanwhile, reference distance D c Obtain it using the following formula: Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

6. A vibration detection system for a vibration sensor system, characterized in that, Including the vibration sensor system as described in claim 1, the vibration detection system includes: The task control execution module is used by the user terminal (3) to control the flight mobile positioning device (5) to load the sensing unit (1) and reach the structure to be detected according to the detection task; The data transmission control module is used for the sensing unit (1) to detect the vibration signal of the structure to be detected in real time, obtain vibration data, and send the vibration data to the user terminal (3) and the structure vibration signal data platform (4) through the data transmission unit (2). The data analysis module is used by the user terminal (3) to perform data analysis on the received vibration data, obtain data analysis results, and store the data analysis results and vibration data together. A data storage management module is used by the structural vibration signal data platform (4) to permanently store and manage the received vibration data; wherein, the task control execution module includes: The first extraction module is used for the user terminal (3) to receive the detection task in real time and extract the target object of the structure to be detected corresponding to the detection task in the detection task; The second extraction module is used to extract the structure of the target object and obtain the position and number of the points to be detected in the target object based on the structure of the target object. The retrieval module is used to set the required number of sensing units (1) according to the location and number of the points to be detected, and to retrieve the same number of flight mobile positioning devices (5) that carry the sensing units (1) to the corresponding position of the points to be detected. The retrieval module includes: The distance information extraction module is used to extract the position of the point to be detected and obtain the straight-line distance between each two adjacent points to be detected; The grouping module is used to set a calibration distance based on the straight-line distance between each pair of adjacent test points, and to group test points whose straight-line distance between each pair of adjacent test points is less than the calibration distance into a group, forming multiple test point groups; The quantity setting module is used to extract the number of test points contained in each test point group and set the number of sensing units (1) required for each test point group according to the number of test points. The principle for setting the number of sensing units (1) is as follows: in each test point group, if the total number of test points in the test point group is less than N test points, one sensing unit (1) is used; if the total number of test points in the test point group exceeds N test points, then every three test points are grouped together and one sensing unit (1) is used. Furthermore, if the number of remaining test points in a group exceeds 0.5N, then the remaining test points in the group are detected by a separate sensing unit (1). If the number of remaining test points in a group does not exceed 0.5N, then the remaining test points in the group are assigned to the selected sensing unit (1) for detection. N is determined by the following formula: Where M represents the total number of points to be detected; M max N represents the maximum number of points that can be detected at once based on the battery level of a drone; min This represents the minimum number of points to be detected when the group of points to be detected contains multiple points. The execution module is used to retrieve the flight mobile positioning device (5) corresponding to the number of sensing units (1) required for each group of points to be detected, and control the flight mobile positioning device (5) to carry the sensing units (1) to the corresponding position of the group of points to be detected. The calibration distance is obtained using the following formula: Where D0 represents the length corresponding to the calibration distance; n represents the straight-line distance between all adjacent test points, where the straight-line distance is less than the reference distance D. c The number of spacings; D i D represents the length of the straight-line distance between the i-th adjacent points to be detected; m represents the total number of straight-line distances between all adjacent points to be detected; min and D max These represent the minimum and maximum straight-line distances among all adjacent points to be detected; Meanwhile, reference distance D c Obtain it using the following formula: Among them, D p k1 represents the average straight-line distance between all adjacent test points; k1 indicates that among all adjacent test points, the straight-line distance does not exceed 0.7D. p The number of spacings; k2 represents the straight-line distances between all adjacent points to be detected that exceed 0.7D. p The number of spacings.

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