Sand dune ground supporting system based on vibration inclination and adjusting method of sand dune ground supporting system

Abstract

The invention discloses a sand dune ground supporting system based on vibration inclination and an adjusting method of the sand dune ground supporting system. The sand dune ground supporting system based on vibration inclination comprises a supporting and fixing module used for dividing a monitoring area into a plurality of monitoring sub-areas; the wireless transmission module is used for supporting data transmission between the fixing modules; the central control module is used for receiving the vibration and inclination parameters of each monitoring sub-region in the current set time period and analyzing the vibration and inclination parameters to obtain a vibration index and an inclination index of each monitoring sub-region; and the feedback adjusting module is used for receiving the corresponding vibration abnormal signal and the inclination abnormal signal and executing corresponding adjusting steps. The monitoring area is divided into a plurality of monitoring sub-areas, and a plurality of vibration inclination sensor nodes are arranged in each sub-area, so that comprehensive and real-time monitoring of the sand dune area is realized, the height and angle of the instrument are intelligently analyzed and automatically adjusted according to the monitoring data, and the monitoring efficiency and accuracy are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of environmental monitoring, and particularly relates to a dune ground support system based on vibration and tilt and an adjustment method thereof. Background Art

[0002] Monitoring of the surface morphology and stability in dune areas is of great significance for environmental protection and engineering construction. Traditional dune monitoring methods mainly rely on manual measurement, which is inefficient and difficult to achieve real-time monitoring. With the development of sensor technology, it has become possible to conduct automated monitoring using vibration and tilt sensors.

[0003] In the prior art, common dune monitoring methods include: Manual measurement: Monitoring the changes of dunes by periodically manually measuring the height and inclination of dunes. This method is inefficient and difficult to achieve real-time monitoring. Single-point sensor monitoring: Installing single-point vibration or tilt sensors on dunes for local monitoring. This method has a limited coverage area and is difficult to comprehensively reflect the overall situation of dunes. At the same time, it lacks an automatic adjustment function and cannot adjust the position and angle of the monitoring instrument in real time according to the monitoring data. Summary of the Invention

[0004] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a ground fixed support system for a dune monitoring instrument based on vibration and tilt monitoring, which monitors the dune surface through vibration and tilt sensors, and automatically adjusts according to the monitoring data to achieve comprehensive and real-time monitoring of the dune area, and automatically adjusts the height and angle of the instrument according to the monitoring data, improving the monitoring efficiency and accuracy.

[0005] To achieve the foregoing invention purpose, the present invention adopts the following solutions:

[0006] One aspect of the present invention provides a ground fixed support system for a dune monitoring instrument based on vibration and tilt monitoring, including: a support and fixation module, a wireless transmission module, a central control module, and a feedback adjustment module;

[0007] The support and fixation module is used to divide the monitoring area into multiple monitoring sub-areas according to the characteristics of the dune surface; the monitoring sub-areas are numbered with k, k = 1, 2, 3,..., n, where n is the total number of monitoring sub-areas; vibration and tilt sensor nodes are arranged in each monitoring sub-area, and the sensor nodes are numbered with m, m = 1, 2,..., p, where p is the total number of sensor nodes in each monitoring sub-area; based on the monitoring time interval set by the user, after reaching the set time interval, the vibration and tilt parameters of each monitoring sub-area within the set time period are collected; wherein, the vibration and tilt parameters include vibration frequency, amplitude, tilt angle, and surface displacement;

[0008] The wireless transmission module is used to support data transmission between fixed modules, data exchange with the central control module, and establish connections with the adjustment devices in each monitoring sub-region;

[0009] The central control module is used to receive the vibration and tilt parameters of each monitoring sub-region within the currently set time period, analyze them to obtain the vibration index and tilt index of each monitoring sub-region; set the thresholds of the vibration index and tilt index of each monitoring sub-region, compare the vibration index and tilt index of each monitoring sub-region within the currently set time period with the corresponding thresholds respectively, and generate corresponding signals based on the comparison results; the signals include vibration anomaly signals and tilt anomaly signals; send the generated signals to the feedback adjustment module;

[0010] The feedback adjustment module is used to receive the corresponding vibration anomaly signals and tilt anomaly signals and execute the corresponding adjustment steps.

[0011] In one embodiment, the central control module further includes:

[0012] The vibration index calculation module is used to analyze and obtain the vibration index of each monitoring sub-region. The specific steps are as follows:

[0013] Extract the vibration frequency and amplitude values of each sensor node in the corresponding monitoring sub-region at each time point within the currently set time period, take the average value of the vibration frequency values of each group of sensor nodes as the average vibration frequency of each sensor node within the currently set time period, and take the average value of the amplitude values of each group of sensor nodes as the average amplitude of each sensor node within the currently set time period;

[0014] Extract the average vibration frequency of each sensor node in the corresponding monitoring sub-region and calculate it using the standard deviation formula to obtain the vibration difference value of the corresponding monitoring sub-region within the currently set time period, and denote it as G k ; Extract the reference value of the vibration difference value of the corresponding monitoring sub-region and denote it as G ref ;

[0015] Take the average value of the average vibration frequencies of each sensor node in the corresponding monitoring sub-region as the vibration average estimate Q of the corresponding monitoring sub-region within the currently set time period vk ; Extract the maximum value from the average vibration frequencies of each sensor node in the corresponding monitoring sub-region as the vibration peak estimate Q of the corresponding monitoring sub-region within the currently set time period bk ;

[0016] Calculate the vibration index of the corresponding monitoring sub-region. The formula is as follows:

[0017] VI k =α×Q bk +(1 - α)×Q vk ,

[0018] Wherein, Vik is the vibration index of the k-th monitoring sub-region; α is the weighting coefficient with a value of 0.8;

[0019] In one embodiment, the central control module further includes:

[0020] An inclination index calculation module, which is used to analyze and obtain the inclination index of each monitoring sub-region. The specific steps are as follows:

[0021] Extract the inclination angle R tk and the surface displacement R dk values of each sensor node in the corresponding monitoring sub-region at each time point within the current set time period, take the average value of each group of inclination angle values of each sensor node as the average inclination angle of each sensor node in the current set time period, and take the average value of each surface displacement value of each sensor node as the average surface displacement of each sensor node in the current set time period;

[0022] Based on the analysis results of the inclination angle and the surface displacement, obtain the inclination index of the corresponding monitoring sub-region. The specific calculation formula is as follows:

[0023] TI k = β × R tk + (1 - β) × R dk

[0024] Wherein, TI k is the inclination index of the k-th monitoring sub-region; β is the weighting coefficient with a value of 0.8;

[0025] In one embodiment, the feedback adjustment module further includes:

[0026] An abnormal area number extraction module, which is used to obtain the corresponding monitoring sub-region number k according to the vibration abnormal signal and the inclination abnormal signal generated by the central control module;

[0027] A threshold index determination module, which is used to obtain the corresponding threshold index of the sub-region based on the extracted sub-region number k; the threshold index includes the thresholds of the vibration index and the inclination index;

[0028] A vibration difference and inclination difference calculation module, which is used to calculate the difference between the vibration index and the inclination index of the corresponding sub-region and the corresponding threshold index respectively to obtain the vibration difference and the inclination difference;

[0029] Anomaly level determination module, configured to match the vibration difference and the tilt difference with three preset ranges of difference values, and determine the vibration anomaly level and the tilt anomaly level of the current sub-region based on the matching results; wherein, the preset ranges of difference values respectively correspond to different vibration anomaly levels and tilt anomaly levels; the vibration anomaly levels include a general vibration level, a poor vibration level, and a severe vibration level; the tilt anomaly levels include a general tilt level, a poor tilt level, and a severe tilt level;

[0030] Adjustment module, configured to adjust the height of the support structure of the monitoring instrument according to the vibration anomaly level of each sub-region; and adjust the angle of the support structure of the monitoring instrument according to the tilt anomaly level of each sub-region.

[0031] In one embodiment, further includes:

[0032] Alarm module, configured to trigger an alarm signal when the vibration anomaly level and / or the tilt anomaly level reaches the severe level, and send the alarm signal to the interface push module;

[0033] Interface push module, configured to generate a personalized report, and push the alarm signal and the personalized report to the control terminal of the monitoring center.

[0034] Another aspect of the present invention provides an adjustment method for a ground fixing support system of a dune monitoring instrument based on vibration and tilt monitoring, including:

[0035] S1. According to the characteristics of the dune surface, divide the monitoring area into multiple monitoring sub-regions; the numbers of the monitoring sub-regions are represented by k, k = 1, 2, 3, ……, n, where n is the total number of monitoring sub-regions; arrange vibration and tilt sensor nodes in each monitoring sub-region, and the numbers of the sensor nodes are represented by m, m = 1, 2, ……, p, where p is the total number of sensor nodes in each monitoring sub-region; based on the monitoring time interval set by the user, after the set time interval is reached, collect the vibration and tilt parameters of each monitoring sub-region within the set time period; wherein, the vibration and tilt parameters include vibration frequency, amplitude, tilt angle, and surface displacement;

[0036] S2. Analyze the collected vibration and tilt parameters of each monitoring sub-region within the set time period to obtain the vibration index and tilt index of each monitoring sub-region; set the thresholds of the vibration index and tilt index of each monitoring sub-region, compare the vibration index and tilt index of each monitoring sub-region within the current set time period with the corresponding thresholds respectively, and generate corresponding signals based on the comparison results; the signals include vibration anomaly signals and tilt anomaly signals;

[0037] S3. Execute corresponding adjustment steps according to the generated signals.

[0038] In one embodiment, in step S2, the vibration and tilt parameters of each monitored sub-region collected within a set time period are analyzed to obtain the vibration index of each monitored sub-region. Further, it includes:

[0039] S211. Extract the vibration frequency and amplitude values of each sensor node in the corresponding monitored sub-region at each time point within the current set time period. Take the mean of the vibration frequency values of each group of sensor nodes as the average vibration frequency of each sensor node in the current set time period, and take the mean of the amplitude values of each group of sensor nodes as the average amplitude of each sensor node in the current set time period;

[0040] S212. Extract the average vibration frequency of each sensor node in the corresponding monitored sub-region and calculate it using the standard deviation formula to obtain the vibration difference value of the corresponding monitored sub-region within the current set time period, denoted as G k ; Extract the reference value of the vibration difference value of the corresponding monitored sub-region and denote it as G ref ;

[0041] S213. Take the mean of the average vibration frequencies of each sensor node in the corresponding monitored sub-region as the average vibration estimate Q of the corresponding monitored sub-region within the current set time period vk ; Extract the maximum value from the average vibration frequencies of each sensor node in the corresponding monitored sub-region as the vibration peak estimate Q of the corresponding monitored sub-region within the current set time period bk ;

[0042] S214. Calculate the vibration index of the corresponding monitored sub-region, and the formula is as follows:

[0043] VI k =α×Q bk +(1 - α)×Q vk ,[[]]END]]

[0044] In the formula, Vik is the vibration index of the kth monitored sub-region; α is the weighting coefficient, and its value is 0.8.

[0045] In one embodiment, in step S2, the vibration and tilt parameters of each monitored sub-region collected within a set time period are analyzed to obtain the tilt index of each monitored sub-region. Further, it includes:

[0046] S221. Extract the tilt angle R tk and the surface displacement R dk values of each sensor node in the corresponding monitored sub-region at each time point within the current set time period. Take the mean of the tilt angle values of each group of sensor nodes as the average tilt angle of each sensor node in the current set time period, and take the mean of the surface displacement values of each group of sensor nodes as the average surface displacement of each sensor node in the current set time period;

[0047] S222. Based on the analysis results of the tilt angle and ground displacement, the tilt index corresponding to the monitored sub-region is obtained. The specific calculation formula is as follows:

[0048] TI k =β×R tk +(1 - β)×R dk

[0049] In the formula, TI k is the tilt index of the k-th monitored sub-region; β is the weighting coefficient, and its value is 0.8.

[0050] In one embodiment, step S3 further includes:

[0051] S31. According to the generated vibration anomaly signal and tilt anomaly signal, obtain the corresponding monitored sub-region number k;

[0052] S32. Based on the extracted sub-region number k, obtain the corresponding threshold index of this sub-region; the threshold index includes the thresholds of the vibration index and the tilt index;

[0053] S33. Calculate the difference between the vibration index and tilt index of the corresponding sub-region and the corresponding threshold index respectively to obtain the vibration difference and tilt difference;

[0054] S34. Match the vibration difference and tilt difference with three preset difference value ranges, and determine the vibration anomaly level and tilt anomaly level of the current sub-region through the matching result; among them, the preset difference value ranges correspond to different vibration anomaly levels and tilt anomaly levels respectively; the vibration anomaly levels include the general vibration level, the poor vibration level, and the severe vibration level; the tilt anomaly levels include the general tilt level, the poor tilt level, and the severe tilt level;

[0055] S35. Adjust the height of the support structure of the monitoring instrument according to the vibration anomaly level of each sub-region; and adjust the angle of the support structure of the monitoring instrument according to the specific tilt anomaly level of each sub-region.

[0056] In one embodiment, it further includes:

[0057] When the vibration anomaly level or / and tilt anomaly level reaches the severe level, trigger an alarm signal, generate a personalized report, and push the alarm signal and personalized report to the control terminal of the monitoring center.

[0058] Compared with the prior art, the present invention has at least the following advantages:

[0059] Comprehensive Monitoring: The present invention realizes the comprehensive monitoring of the dune area by dividing the monitoring area into multiple monitoring sub-areas and deploying multiple vibration and tilt sensor nodes in each sub-area. Compared with single-point sensor monitoring, the present invention can more comprehensively reflect the overall situation of the dunes.

[0060] Real-time Monitoring and Automatic Adjustment: Based on the monitoring time interval set by the user, the present invention automatically collects the vibration and tilt parameters of each sub-area and automatically adjusts the height and angle of the monitoring instrument according to the monitoring data. This enables the system to respond to environmental changes in real time, improving the efficiency and accuracy of monitoring.

[0061] Intelligent Analysis and Abnormality Handling: The central control module analyzes the monitoring data, calculates the vibration index and tilt index of each sub-area, compares them with the preset thresholds, and generates abnormality signals. The feedback adjustment module executes corresponding height and angle adjustment steps according to the abnormality signals, and even triggers an alarm signal in severe cases, improving the intelligence and security of the system.

[0062] High-precision Adjustment: The adjustment of height and angle is achieved through mechanical structures such as hydraulic devices, electric adjustment devices, and rotating devices, which can precisely control the height and angle of the support structure to ensure the stability of the monitoring instrument and the accuracy of the data. Brief Description of the Drawings

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0064] Figure 1 It is a schematic diagram of the system process provided by a typical embodiment of the present invention; Detailed Embodiments

[0065] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will detail the specific embodiments of the present invention with reference to the drawings. Examples of these preferred embodiments are illustrated in the drawings. The embodiments of the present invention shown in the drawings and described according to the drawings are only exemplary, and the present invention is not limited to these embodiments.

[0066] Term Explanation:

[0067] Monitoring Sub-area: The monitoring area is divided into multiple small areas, and each small area is called a monitoring sub-area, numbered k.

[0068] Sensor Node: A vibration and tilt sensor installed in each monitoring sub-area, numbered m.

[0069] Vibration index: A value reflecting the vibration situation obtained by analyzing parameters such as vibration frequency and amplitude.

[0070] Inclination index: A value reflecting the inclination situation obtained by analyzing parameters such as inclination angle and ground surface displacement.

[0071] Threshold: The maximum allowable value of the preset vibration index and inclination index.

[0072] One aspect of the present invention provides a dune ground support system based on vibration and inclination, as Figure 1 shown, which includes: a support and fixation module, a wireless transmission module, a central control module, and a feedback adjustment module;

[0073] The support and fixation module is used to divide the monitoring area into multiple monitoring sub-areas according to the characteristics of the dune ground surface; the numbers of the monitoring sub-areas are represented by k, k = 1, 2, 3,..., n, where n is the total number of monitoring sub-areas; vibration and inclination sensor nodes are arranged in each monitoring sub-area, and the numbers of the sensor nodes are represented by m, m = 1, 2,..., p, where p is the total number of sensor nodes in each monitoring sub-area; based on the monitoring time interval set by the user, after the set time interval is reached, the vibration and inclination parameters of each monitoring sub-area within the set time period are collected; wherein, the vibration and inclination parameters include vibration frequency, amplitude, inclination angle, and ground surface displacement;

[0074] The wireless transmission module is used for data transmission between the support and fixation modules, data exchange with the central control module, and establishing connections with the adjustment devices in each monitoring sub-area;

[0075] The central control module is used to receive the vibration and inclination parameters of each monitoring sub-area within the current set time period, and analyze to obtain the vibration index and inclination index of each monitoring sub-area; set the thresholds of the vibration index and inclination index of each monitoring sub-area, compare the vibration index and inclination index of each monitoring sub-area within the current set time period with the corresponding thresholds respectively, and generate corresponding signals based on the comparison results; the signals include vibration abnormal signals and inclination abnormal signals; send the generated signals to the feedback adjustment module;

[0076] The feedback adjustment module is used to receive the corresponding vibration abnormal signals and inclination abnormal signals, and execute the corresponding adjustment steps.

[0077] In one embodiment, the central control module further includes:

[0078] A vibration index calculation module, which is used to analyze and obtain the vibration index of each monitoring sub-area, and the specific steps are as follows:

[0079] Extract the vibration frequency and amplitude values of each sensor node in the corresponding monitored sub-region at each time point within the current set time period. Take the mean of the vibration frequency values of each group of each sensor node as the average vibration frequency of each sensor node within the current set time period, and take the mean of the amplitude values of each group of each sensor node as the average amplitude of each sensor node within the current set time period;

[0080] Extract the average vibration frequency of each sensor node in the corresponding monitored sub-region, and calculate using the standard deviation formula to obtain the vibration difference value of the corresponding monitored sub-region within the current set time period, and denote it as G k ; Extract the reference value of the vibration difference value of the corresponding monitored sub-region, and denote it as G ref ;

[0081] Take the mean of the average vibration frequencies of each sensor node in the corresponding monitored sub-region as the average vibration estimate Q of the corresponding monitored sub-region within the current set time period vk ; Extract the maximum value from the average vibration frequencies of each sensor node in the corresponding monitored sub-region as the vibration peak estimate Q of the corresponding monitored sub-region within the current set time period bk ;

[0082] Calculate the vibration index of the corresponding monitored sub-region, and the formula is as follows:

[0083] VI k =α×Q bk +(1 - α)×Q vk ,

[0084] In the formula, Vik is the vibration index of the kth monitored sub-region; α is the weighting coefficient, and the value is 0.8.

[0085] In one embodiment, the central control module further includes:

[0086] An inclination index calculation module for analyzing and obtaining the inclination index of each monitored sub-region. The specific steps are as follows:

[0087] Extract the inclination angle R tk and the surface displacement R dk values of each sensor node in the corresponding monitored sub-region at each time point within the current set time period. Take the mean of the inclination angle values of each group of each sensor node as the average inclination angle of each sensor node within the current set time period, and take the mean of the surface displacement values of each group of each sensor node as the average surface displacement of each sensor node within the current set time period;

[0088] Based on the analysis results of the inclination angle and the surface displacement, obtain the inclination index of the corresponding monitored sub-region. The specific calculation formula is as follows:

[0089] TI k= β × R tk +(1 - β) × R dk

[0090] where TI k is the tilt index of the k-th monitored sub-region; β is the weighting coefficient with a value of 0.8.

[0091] In one embodiment, the feedback adjustment module further includes:

[0092] An abnormal area number extraction module, configured to obtain the corresponding monitored sub-region number k according to the vibration abnormal signal and tilt abnormal signal generated by the central control module;

[0093] A threshold index determination module, configured to obtain the corresponding threshold index of the sub-region based on the extracted sub-region number k; the threshold index includes the thresholds of the vibration index and tilt index;

[0094] A vibration difference and tilt difference calculation module, configured to calculate the difference between the vibration index and tilt index of the corresponding sub-region and the corresponding threshold index respectively to obtain the vibration difference and tilt difference;

[0095] An abnormal level determination module, configured to match the vibration difference and tilt difference with three preset difference value ranges, and determine the vibration abnormal level and tilt abnormal level of the current sub-region through the matching result; among them, the preset difference value ranges respectively correspond to different vibration abnormal levels and tilt abnormal levels; the vibration abnormal levels include general vibration level, poor vibration level, and severe vibration level; the tilt abnormal levels include general tilt level, poor tilt level, and severe tilt level;

[0096] An adjustment module, configured to adjust the height of the monitoring instrument support structure according to the vibration abnormal level of each sub-region; and adjust the angle of the monitoring instrument support structure according to the tilt abnormal level of each sub-region.

[0097] Height adjustment: Adjust the height of the monitoring instrument support structure according to the specific vibration abnormal level of each sub-region. If the vibration abnormal level is high, increase the height of the support structure to reduce the influence of vibration. The specific implementation of height adjustment is completed by mechanical structures such as hydraulic devices or electric adjustment devices. The hydraulic system controls the flow and pressure of hydraulic oil to push the piston or hydraulic cylinder to move, thereby increasing the height of the support structure. The feedback adjustment module sends a signal to the hydraulic device to instruct it to increase a specific height, and three adjustment heights are set: 10 cm, 20 cm, and 30 cm. The hydraulic device precisely controls the movement of the piston according to this signal to reach the required height. The electric adjustment device adjusts the height of the support structure by driving a screw or gear system with a motor.

[0098] Angle adjustment: Adjust the angle of the support structure of the monitoring instrument according to the specific tilt anomaly level of each sub-region. If the tilt anomaly level is high, the angle of the support structure is adjusted to stabilize the monitoring instrument and ensure it remains horizontal. The specific implementation of angle adjustment is achieved through mechanical structures such as a rotating device or a tilt adjustment device. The rotating device drives a rotating platform through a motor to adjust the angle of the support structure. The feedback adjustment module sends a signal to the rotating device, instructing it to adjust a specific angle, and three adjustment angles are set: 5°, 10°, and 15°. The rotating device precisely controls the rotation of the rotating platform according to this signal to reach the required angle. The tilt adjustment device adjusts the angle of the support structure hydraulically or mechanically. The feedback adjustment module sends a signal to the tilt adjustment device, and the device performs mechanical operations according to the signal to precisely adjust the angle of the support structure.

[0099] The feedback adjustment module sends an electrical signal to the motor control system, and the motor rotates by a corresponding angle or distance according to the signal, thereby precisely adjusting the height of the support structure.

[0100] In one embodiment, it further includes:

[0101] An alarm module, which is used to trigger an alarm signal when the vibration anomaly level and / or the tilt anomaly level reaches a severe level, and send the alarm signal to the interface push module;

[0102] The interface push module is used to generate a personalized report and push the alarm signal and this personalized report to the control terminal of the monitoring center.

[0103] Replacement of the sensor node: In addition to using vibration tilt sensor nodes, other types of sensors such as acceleration sensors and displacement sensors can also be used to monitor the changes on the dune surface.

[0104] Replacement of the data transmission module: The wireless transmission module can be replaced by a wired transmission module, and data is transmitted through optical fibers or cables to ensure the stability and reliability of data transmission.

[0105] Replacement of the adjustment device: In addition to being achieved through hydraulic devices and electric adjustment devices, the adjustment of height and angle can also use other mechanical structures such as pneumatic devices and stepper motors to precisely control the height and angle of the support structure.

[0106] Replacement of the anomaly handling mechanism: In addition to generating anomaly signals and performing automatic adjustment, a manual intervention link can also be added. Through a remote control system, the monitoring personnel can manually adjust the height and angle of the monitoring instrument.

[0107] Another aspect of the present invention provides an adjustment method based on the above dune ground support system, including:

[0108] S1. According to the characteristics of the dune surface, divide the monitoring area into multiple monitoring sub-areas; the numbers of the monitoring sub-areas are represented by k, where k = 1, 2, 3, ……, n, and n is the total number of monitoring sub-areas; deploy vibration and tilt sensor nodes in each monitoring sub-area, and the numbers of the sensor nodes are represented by m, where m = 1, 2, ……, p, and p is the total number of sensor nodes in each monitoring sub-area; based on the monitoring time interval set by the user, after the set time interval is reached, collect the vibration and tilt parameters of each monitoring sub-area within the set time period; wherein, the vibration and tilt parameters include vibration frequency, amplitude, tilt angle, and surface displacement;

[0109] S2. Analyze the vibration and tilt parameters of each monitoring sub-area collected within the set time period to obtain the vibration index and tilt index of each monitoring sub-area; set the thresholds of the vibration index and tilt index of each monitoring sub-area, compare the vibration index and tilt index of each monitoring sub-area within the current set time period with the corresponding thresholds respectively, and generate corresponding signals based on the comparison results; the signals include vibration abnormal signals and tilt abnormal signals;

[0110] S3. Execute corresponding adjustment steps according to the generated signals.

[0111] In one embodiment, in step S2, when analyzing the vibration and tilt parameters of each monitoring sub-area collected within the set time period to obtain the vibration index of each monitoring sub-area, it further includes:

[0112] S211. Extract the vibration frequency and amplitude values of each sensor node in the corresponding monitoring sub-area at each time point within the current set time period, take the mean of the vibration frequency values of each group of each sensor node as the average vibration frequency of each sensor node within the current set time period, and take the mean of the amplitude values of each group of each sensor node as the average amplitude of each sensor node within the current set time period;

[0113] S212. Extract the average vibration frequency of each sensor node in the corresponding monitoring sub-area, and calculate it using the standard deviation formula to obtain the vibration difference value of the corresponding monitoring sub-area within the current set time period, and denote it as G k ; extract the reference value of the vibration difference value of the corresponding monitoring sub-area, and denote it as G ref ;

[0114] S213. Take the mean of the average vibration frequencies of each sensor node in the corresponding monitoring sub-area as the vibration average estimate Q of the corresponding monitoring sub-area within the current set time period vk ; extract the maximum value from the average vibration frequencies of each sensor node in the corresponding monitoring sub-area as the vibration peak estimate Q of the corresponding monitoring sub-area within the current set time period bk ;

[0115] S214. Calculate the vibration index corresponding to the monitored sub-region, and the formula is as follows:

[0116] VI k = α × Q bk +(1 - α) × Q vk ,

[0117] where Vik is the vibration index of the k-th monitored sub-region; α is the weighting coefficient, and its value is 0.8.

[0118] In one embodiment, in step S2, the vibration and tilt parameters of each monitored sub-region collected within the set time period are analyzed to obtain the tilt index of each monitored sub-region. Further, it includes:

[0119] S221. Extract the tilt angle R tk and the ground displacement R dk values of each sensor node corresponding to the monitored sub-region at each time point within the current set time period. Take the average value of the tilt angle values of each group of sensor nodes as the average tilt angle of each sensor node within the current set time period, and take the average value of the ground displacement values of each sensor node as the average ground displacement of each sensor node within the current set time period;

[0120] S222. Based on the analysis results of the tilt angle and the ground displacement, obtain the tilt index corresponding to the monitored sub-region. The specific calculation formula is as follows:

[0121] TI k = β × R tk +(1 - β) × R dk

[0122] where TI k is the tilt index of the k-th monitored sub-region; β is the weighting coefficient, and its value is 0.8.

[0123] In one embodiment, step S3 further includes:

[0124] S31. According to the generated vibration anomaly signal and tilt anomaly signal, obtain the corresponding monitored sub-region number k;

[0125] S32. Based on the extracted sub-region number k, obtain the corresponding threshold index of this sub-region; the threshold index includes the thresholds of the vibration index and the tilt index;

[0126] S33. Calculate the difference between the vibration index and the tilt index of the corresponding sub-region and the corresponding threshold index respectively to obtain the vibration difference and the tilt difference;

[0127] S34. Match the vibration difference value and the tilt difference value with three preset ranges of difference value, and determine the vibration anomaly level and the tilt anomaly level of the current sub-region according to the matching result; wherein, the preset ranges of difference value respectively correspond to different vibration anomaly levels and tilt anomaly levels; the vibration anomaly levels include a general vibration level, a poor vibration level, and a severe vibration level; the tilt anomaly levels include a general tilt level, a poor tilt level, and a severe tilt level.

[0128] S35. Adjust the height of the monitoring instrument support structure according to the vibration anomaly level of each sub-region; and adjust the angle of the monitoring instrument support structure according to the specific tilt anomaly level of each sub-region.

[0129] Height adjustment: Adjust the height of the monitoring instrument support structure according to the specific vibration anomaly level of each sub-region. If the vibration anomaly level is high, increase the height of the support structure to reduce the influence of vibration. The specific implementation of height adjustment is completed by mechanical structures such as hydraulic devices or electric adjustment devices. The hydraulic system controls the flow and pressure of hydraulic oil to push the piston or hydraulic cylinder to move, thereby increasing the height of the support structure. The feedback adjustment module sends a signal to the hydraulic device, instructing it to increase a specific height, and three adjustment heights are set: 10 cm, 20 cm, and 30 cm. The hydraulic device precisely controls the movement of the piston according to this signal to reach the required height. The electric adjustment device adjusts the height of the support structure by driving a screw or a gear system with a motor.

[0130] Angle adjustment: Adjust the angle of the monitoring instrument support structure according to the specific tilt anomaly level of each sub-region. If the tilt anomaly level is high, stabilize the monitoring instrument by adjusting the angle of the support structure to ensure it remains horizontal. The specific implementation of angle adjustment is completed by mechanical structures such as a rotating device or a tilt adjustment device. The rotating device drives a rotating platform with a motor to adjust the angle of the support structure. The feedback adjustment module sends a signal to the rotating device, instructing it to adjust a specific angle, and three adjustment angles are set: 5°, 10°, and 15°. The rotating device precisely controls the rotation of the rotating platform according to this signal to reach the required angle. The tilt adjustment device adjusts the angle of the support structure hydraulically or mechanically. The feedback adjustment module sends a signal to the tilt adjustment device, and the device performs mechanical operations according to the signal to precisely adjust the angle of the support structure.

[0131] The feedback adjustment module sends an electrical signal to the motor control system, and the motor rotates a corresponding angle or distance according to the signal, thereby precisely adjusting the height of the support structure.

[0132] In one embodiment, it further includes:

[0133] When the vibration anomaly level or / and the tilt anomaly level reaches the severe level, an alarm signal is triggered, a personalized report is generated, and the alarm signal and the personalized report are pushed to the control terminal of the monitoring center.

[0134] Replacement of sensor nodes: In addition to using vibration and tilt sensor nodes, other types of sensors such as acceleration sensors and displacement sensors can also be used to monitor the changes on the dune surface.

[0135] Replacement of data transmission module: The wireless transmission module can be replaced by a wired transmission module, and data is transmitted through optical fibers or cables to ensure the stability and reliability of data transmission.

[0136] Replacement of adjustment device: In addition to being achieved through hydraulic devices and electric adjustment devices, the adjustment of height and angle can also use other mechanical structures such as pneumatic devices and stepper motors to achieve precise control of the height and angle of the support structure.

[0137] Replacement of anomaly handling mechanism: In addition to generating anomaly signals and performing automatic adjustment, a manual intervention link can be added. Through the remote control system, the monitoring personnel can manually adjust the height and angle of the monitoring instrument.

[0138] It should be understood that although this specification is described according to the embodiments, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions of each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A dune ground support system based on vibration tilting, characterized in that: include: Supporting fixed module, wireless transmission module, central control module and feedback adjustment module; The support and fixing module is used to divide the monitoring area into multiple monitoring sub-areas according to the characteristics of the dune surface; the number of the monitoring sub-areas is represented by k, k=1, 2, 3, ..., n, where n is the total number of monitoring sub-areas; vibration and tilt sensor nodes are arranged in each monitoring sub-area, and the number of the sensor nodes is represented by m, m=1, 2, ..., p, where p is the total number of sensor nodes in each monitoring sub-area; based on the monitoring time interval set by the user, after the set time interval is reached, the vibration and tilt parameters of each monitoring sub-area within the set time period are collected; wherein the vibration and tilt parameters include vibration frequency, amplitude, tilt angle and surface displacement; The wireless transmission module is used to support data transmission between fixed modules, data exchange with the central control module, and establish connection with the regulating equipment of each monitoring sub-area; The central control module is used to receive the vibration and tilt parameters of each monitoring sub-area within the current set time period, and analyze to obtain the vibration index and tilt index of each monitoring sub-area; set the threshold of the vibration index and tilt index of each monitoring sub-area, compare the vibration index and tilt index of each monitoring sub-area within the current set time period with the corresponding threshold, and generate a corresponding signal based on the comparison result; the signal includes a vibration abnormality signal and a tilt abnormality signal; and send the generated signal to the feedback adjustment module; The feedback adjustment module is used to receive corresponding abnormal vibration signals and abnormal tilt signals, and execute corresponding adjustment steps.

2. The dune ground support system according to claim 1, characterized in that: The central control module also includes: The vibration index calculation module is used to analyze and obtain the vibration index of each monitoring sub-area. The specific steps are as follows: Extract the vibration frequency and amplitude values ​​of each sensor node in the corresponding monitoring sub-area at each time point in the current set time period, take the average value of each group of vibration frequency values ​​of each sensor node as the average value of the vibration frequency of each sensor node in the current set time period, and take the average value of each group of amplitude values ​​of each sensor node as the average value of the amplitude of each sensor node in the current set time period; The average vibration frequency of each sensor node in the corresponding monitoring sub-area is extracted and calculated using the standard deviation formula to obtain the vibration difference value of the corresponding monitoring sub-area in the current set time period, which is recorded as G k ; Extract the reference value of the vibration difference value of the corresponding monitoring sub-area and record it as G ref ; Take the average value of the average vibration frequency of each sensor node in the corresponding monitoring sub-area as the average vibration estimate Q of the corresponding monitoring sub-area in the current set time period vk ; Extract the maximum value from the average vibration frequency of each sensor node in the corresponding monitoring sub-area as the vibration peak estimate Q of the corresponding monitoring sub-area in the current set time period bk ; Calculate the vibration index of the corresponding monitoring sub-area using the following formula: YOU k =α×Q bk +(1-α)×Q vk , Where Vik is the vibration index of the kth monitoring sub-area; α is the weighting coefficient.

3. The dune ground support system according to claim 1, characterized in that: The central control module also includes: The tilt index calculation module is used to analyze and obtain the tilt index of each monitoring sub-area. The specific steps are as follows: Extract the tilt angle R of each sensor node in the corresponding monitoring sub-area at each time point in the current set time period tk and the surface displacement R dk The average value of the tilt angle values ​​of each group of sensor nodes is taken as the average value of the tilt angle of each sensor node in the current set time period, and the average value of the surface displacement values ​​of each sensor node is taken as the average value of the surface displacement of each sensor node in the current set time period; Based on the analysis results of the tilt angle and surface displacement, the tilt index of the corresponding monitoring sub-area is obtained. The specific calculation formula is as follows: YOU k =β×R tk +(1-β)×R dk Where TI k is the tilt index of the kth monitoring sub-area; β is the weighting coefficient.

4. The dune ground support system according to claim 1, characterized in that: The feedback adjustment module further includes: The abnormal area number extraction module is used to obtain the corresponding monitoring sub-area number k according to the vibration abnormality signal and the tilt abnormality signal generated by the central control module; A threshold index determination module, used to obtain a threshold index corresponding to the sub-region based on the extracted sub-region number k; the threshold index includes thresholds of a vibration index and a tilt index; A vibration difference and tilt difference calculation module, used to perform difference calculation between the vibration index and tilt index of the corresponding sub-area and the corresponding threshold index respectively, to obtain the vibration difference and tilt difference; An abnormality level determination module is used to match the vibration difference and the tilt difference with the preset three groups of difference value ranges, and determine the vibration abnormality level and tilt abnormality level of the current sub-area through the matching results; wherein the preset difference value ranges correspond to different vibration abnormality levels and tilt abnormality levels respectively; the vibration abnormality level includes a general vibration level, a poor vibration level and a severe vibration level; the tilt abnormality level includes a general tilt level, a poor tilt level and a severe tilt level; The adjustment module is used to adjust the height of the monitoring instrument support structure according to the vibration abnormality level of each sub-area; and to adjust the angle of the monitoring instrument support structure according to the tilt abnormality level of each sub-area.

5. The dune ground support system according to claim 1, characterized in that: Further including: An alarm module is used to trigger an alarm signal when the vibration abnormality level and / or the tilt abnormality level reaches a serious level, and send the alarm signal to the interface push module; The interface push module is used to generate personalized reports and push the alarm signal and the personalized report to the control terminal of the monitoring center.

6. A method for adjusting a dune ground support system according to any one of claims 1 to 5, characterized in that: include: S1. According to the characteristics of the dune surface, the monitoring area is divided into multiple monitoring sub-areas; the number of the monitoring sub-areas is represented by k, k = 1, 2, 3, ..., n, where n is the total number of monitoring sub-areas; vibration and tilt sensor nodes are arranged in each monitoring sub-area, and the number of the sensor nodes is represented by m, m = 1, 2, ..., p, where p is the total number of sensor nodes in each monitoring sub-area; based on the monitoring time interval set by the user, after reaching the set time interval, the vibration and tilt parameters of each monitoring sub-area within the set time period are collected; wherein the vibration and tilt parameters include vibration frequency, amplitude, tilt angle and surface displacement; S2, analyzing the vibration and tilt parameters of each monitoring sub-area collected within a set time period to obtain a vibration index and a tilt index of each monitoring sub-area; setting thresholds for the vibration index and the tilt index of each monitoring sub-area, comparing the vibration index and the tilt index of each monitoring sub-area within the current set time period with the corresponding thresholds, and generating corresponding signals based on the comparison results; the signals include abnormal vibration signals and abnormal tilt signals; S3. Execute corresponding adjustment steps according to the generated signal.

7. The adjustment method according to claim 6, characterized in that: In step S2, the vibration and tilt parameters of each monitoring sub-area collected within a set time period are analyzed to obtain a vibration index of each monitoring sub-area, and further includes: S211, extracting the vibration frequency and amplitude values ​​of each sensor node in the corresponding monitoring sub-area at each time point in the current set time period, taking the average of the vibration frequency values ​​of each group of each sensor node as the average vibration frequency value of each sensor node in the current set time period, taking the average of the amplitude values ​​of each group of each sensor node as the average amplitude value of each sensor node in the current set time period; S212, extract the average vibration frequency of each sensor node in the corresponding monitoring sub-area, and calculate it using the standard deviation formula to obtain the vibration difference value of the corresponding monitoring sub-area in the current set time period, and record it as G k ; Extract the reference value of the vibration difference value of the corresponding monitoring sub-area and record it as G ref ; S213, taking the average of the average vibration frequencies of the sensor nodes in the corresponding monitoring sub-area as the average vibration estimate Q of the corresponding monitoring sub-area in the current set time period vk ; Extract the maximum value from the average vibration frequency of each sensor node in the corresponding monitoring sub-area as the vibration peak estimate Q of the corresponding monitoring sub-area in the current set time period bk ; S214. Calculate the vibration index of the corresponding monitoring sub-area using the following formula: YOU k =α×Q bk +(1-α)×Q vk , Where Vik is the vibration index of the kth monitoring sub-area; α is the weighting coefficient.

8. The adjustment method according to claim 6, characterized in that: In step S2, the vibration and tilt parameters of each monitoring sub-area collected within a set time period are analyzed to obtain a tilt index of each monitoring sub-area, and further includes: S221, extract the tilt angle R of each sensor node in the corresponding monitoring sub-area at each time point in the current set time period tk and the surface displacement R dk The average value of the tilt angle values ​​of each group of sensor nodes is taken as the average value of the tilt angle of each sensor node in the current set time period, and the average value of the surface displacement values ​​of each sensor node is taken as the average value of the surface displacement of each sensor node in the current set time period; S222. Based on the analysis results of the tilt angle and the surface displacement, the tilt index of the corresponding monitoring sub-area is obtained. The specific calculation formula is as follows: YOU k =β×R tk +(1-β)×R dk Where TI k is the tilt index of the kth monitoring sub-area; β is the weighting coefficient.

9. The adjustment method according to claim 6, characterized in that: Step S3 further includes: S31, obtaining a corresponding monitoring sub-area number k according to the generated vibration abnormality signal and tilt abnormality signal; S32, based on the extracted sub-region number k, obtaining a threshold index corresponding to the sub-region; the threshold index includes thresholds of a vibration index and a tilt index; S33, performing difference calculations on the vibration index and tilt index of the corresponding sub-region and the corresponding threshold index respectively, to obtain a vibration difference and a tilt difference; S34, matching the vibration difference and the tilt difference with the preset three groups of difference value ranges, and determining the vibration abnormality level and the tilt abnormality level of the current sub-area through the matching results; wherein the preset difference value ranges correspond to different vibration abnormality levels and tilt abnormality levels respectively; the vibration abnormality level includes a general vibration level, a poor vibration level and a severe vibration level; the tilt abnormality level includes a general tilt level, a poor tilt level and a severe tilt level; S35. According to the abnormal vibration level of each sub-area, the height of the support structure of the monitoring instrument is adjusted; and according to the specific abnormal tilt level of each sub-area, the angle of the support structure of the monitoring instrument is adjusted.

10. The adjustment method according to claim 6, characterized in that: When the abnormal vibration level and / or the abnormal tilt level reaches a serious level, an alarm signal is triggered, a personalized report is generated, and the alarm signal and the personalized report are pushed to the control terminal of the monitoring center.

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