CN-121979073-A - Dynamic compaction monitoring system based on sensor

CN121979073ACN 121979073 ACN121979073 ACN 121979073ACN-121979073-A

Abstract

The invention provides a dynamic compaction monitoring system based on a sensor, which relates to the technical field of dynamic compaction monitoring and comprises a sensor module, a Beidou positioning antenna and a main control module, wherein the sensor module is used for acquiring the working state of a dynamic compactor, the Beidou positioning antenna is arranged on the dynamic compactor and used for acquiring the compaction position of the dynamic compactor, and the main control module is respectively in communication connection with the sensor module and the positioning module and used for sending the working state and the compaction position of the dynamic compactor to a display module for display. According to the invention, the real-time data of the working state and the tamping position are transmitted to the main control module and are displayed in a centralized way, so that a manager can monitor the construction progress more efficiently and make a reasonable decision. Compared with traditional manual supervision, the automatic data processing and real-time display can greatly improve the management efficiency, and simultaneously provide data support for subsequent construction adjustment and optimization.

Inventors

CHEN HAIYANG
YANG XIAOFEI
LI KUN
ZHAI GUOLIANG
PAN LE
WANG XIAO
XU GUOWEI
JIAO HUANJING
DONG LI

Assignees

民航科研基地(北京)有限公司

Dates

Publication Date: 20260505
Application Date: 20260206
Priority Date: 20251126

Claims (9)

1. Dynamic compaction monitored control system based on sensor, characterized by, include: the sensor module is used for collecting the working state of the dynamic compactor; the Beidou positioning antenna is arranged on the dynamic compactor and used for collecting the tamping position of the dynamic compactor; The main control module is respectively connected with the sensor module and the positioning module in a communication way and is used for sending the working state and the ramming position of the dynamic compactor to the display module for display.
2. The dynamic compaction monitoring system based on the sensor according to claim 1, wherein the sensor module comprises a fall distance sensor and a tension sensor, wherein the fall distance sensor is arranged on a main winch of the dynamic compaction machine and is used for measuring the lifting height, the fall distance and the compaction settlement of the rammer, and the tension sensor is used for recording the compaction times.
3. The sensor-based dynamic compaction monitoring system according to claim 1, wherein the distribution map of the number of times of compaction of each point is distinguished by color or marked by numbers in the display module, and the distribution map of the height of the impact is lifted by each point distinguished by color in the display module.
4. The dynamic compaction monitoring system according to claim 1, wherein the main control module comprises: the signal decomposition module is used for adaptively decomposing the original working state signals acquired by the sensor module to obtain IMF components with different frequencies; the signal screening module is used for screening the IMF components with different frequencies to obtain a noise IMF component and an effective IMF component; the signal denoising module is used for denoising the noise IMF component to obtain a denoised IMF component; And the signal reconstruction module is used for reconstructing the denoised IMF component and the effective IMF component to obtain a denoised working state signal, and performing analog-to-digital conversion on the denoised working state signal to obtain the lifting height, the drop distance, the ramming settlement and the ramming times of the rammer.
5. The sensor-based dynamic compaction monitoring system according to claim 4, wherein the signal decomposition module comprises: the signal acquisition unit is used for constructing a signal to be processed according to the original working state signal, wherein the signal to be processed is: Wherein, the As the original working state signal, the signal is processed, In order for the signal to be processed, For the first increase in gaussian noise standard deviation, To use the first IMF component of the empirical mode decomposition, For the added group i gaussian noise, As a parameter of the amplitude of the noise, Estimating a function for standard deviation; the initial decomposition unit is used for decomposing the working state signal to obtain an initial IMF component; And the iterative calculation unit is used for calculating the next IMF component based on the initial IMF component until the decomposition is completed to obtain IMF components with different frequencies.
6. The sensor-based dynamic compaction monitoring system according to claim 5, wherein in the iterative calculation unit, a kth IMF component calculation formula is: Wherein, the Is the kth IMF component, and k is greater than 1, , For the residual of the k-order, For the k-1 st increase in gaussian noise standard deviation, M represents the local mean of the signal, For the number of iterations, The kth IMF component is decomposed using an empirical mode.
7. The sensor-based dynamic compaction monitoring system according to claim 6, wherein the signal denoising module comprises: The wavelet decomposition unit is used for carrying out wavelet decomposition on the noise IMF component to obtain a plurality of wavelet coefficients; A threshold value calculation unit for calculating a threshold value from the median of the wavelet coefficients; the denoising function construction unit is used for constructing a wavelet coefficient denoising function by utilizing the threshold value; The wavelet coefficient processing unit is used for processing all the wavelet coefficients by utilizing the wavelet coefficient denoising function to obtain denoised wavelet coefficients; and the wavelet inverse transformation unit is used for carrying out wavelet inverse transformation on the denoised wavelet coefficient to obtain a denoised IMF component.
8. The sensor-based dynamic compaction monitoring system according to claim 7, wherein in the threshold calculation unit, the threshold calculation formula is: Wherein, the As a result of the threshold value being set, As a parameter of the intensity of the noise, For the length of the IMF signal, Is the median of all wavelet coefficients at the first layer decomposition scale.
9. The sensor-based dynamic compaction monitoring system according to claim 8, wherein in the denoising function construction unit, the formula is adopted: constructing a wavelet coefficient denoising function, wherein, Representing the denoised wavelet coefficients, Represents the kth wavelet coefficient at the jth decomposition scale, , The threshold value is indicated and the threshold value, Represents the adjustment coefficient of the device, Representing a sign function.

Description

Dynamic compaction monitoring system based on sensor Technical Field The invention relates to the technical field of dynamic compaction monitoring, in particular to a dynamic compaction monitoring system based on a sensor. Background As a deep foundation treatment technology, the dynamic compaction construction is widely applied to improving the bearing capacity of the foundation and accelerating the consolidation of the foundation, and particularly in complex or soft foundation environments, the technical economy is widely accepted by the industry. According to the technical procedure of dynamic compaction foundation treatment (CECS 279-2010), the quality detection and inspection of the dynamic compaction foundation treatment are divided into a main control project and a general project. The main control project mainly comprises post detection indexes such as foundation strength (or compactness), compression modulus, foundation bearing capacity, effective reinforcement depth and the like, and reflects the final state of the whole construction quality and foundation bearing capacity. The general project mainly relates to key construction parameters in the dynamic compaction construction process, such as the drop distance, the weight, the number and sequence of the ramming passes, the distance between ramming points, the ramming range, the intermittent time of the front and back passes and the like. In the traditional dynamic compaction construction process, especially in the detection of general projects, the construction process often relies on supervision and manual control of constructors, is easily interfered by human factors, and causes unstable construction quality due to the problems of irregular operation, inaccurate recording, inaccurate parameter control and the like. The manual management mode has the problems of data loss, inconsistent recording and the like, and is difficult to effectively realize the accurate control and monitoring of the dynamic compaction construction process. In addition, since the main control project detection is generally performed after the construction is completed and the time is long, a large time difference exists between the detection result and the construction process. Once there is a quality defect, feedback and adjustment cannot be performed at the first time, which creates a great difficulty in timely remedying the construction quality. Disclosure of Invention In order to solve the problems, an object of the embodiments of the present invention is to provide a dynamic compaction monitoring system based on a sensor. A sensor-based dynamic compaction monitoring system, comprising: the sensor module is used for collecting the working state of the dynamic compactor; the Beidou positioning antenna is arranged on the dynamic compactor and used for collecting the tamping position of the dynamic compactor; The main control module is respectively connected with the sensor module and the positioning module in a communication way and is used for sending the working state and the ramming position of the dynamic compactor to the display module for display. Preferably, the sensor module comprises a drop distance sensor and a tension sensor, wherein the drop distance sensor is arranged on a main winch of the dynamic compactor and is used for measuring the lifting height, the drop distance and the ramming settlement of the rammer, and the tension sensor is used for recording the ramming times. Preferably, in the display module, the ramming frequency distribution map of each point is distinguished by color or marked by numbers, and in the display module, the ramming height distribution map of each point is distinguished by color. Preferably, the main control module comprises: the signal decomposition module is used for adaptively decomposing the original working state signals acquired by the sensor module to obtain IMF components with different frequencies; the signal screening module is used for screening the IMF components with different frequencies to obtain a noise IMF component and an effective IMF component; the signal denoising module is used for denoising the noise IMF component to obtain a denoised IMF component; And the signal reconstruction module is used for reconstructing the denoised IMF component and the effective IMF component to obtain a denoised working state signal, and performing analog-to-digital conversion on the denoised working state signal to obtain the lifting height, the drop distance, the ramming settlement and the ramming times of the rammer. Preferably, the signal decomposition module comprises: the signal acquisition unit is used for constructing a signal to be processed according to the original working state signal, wherein the signal to be processed is: Wherein, the As the original working state signal, the signal is processed,In order for the signal to be processed,For the first increase in gaussian noise standard deviation,To use the first