CN100442014C - Unmanned pneumatic caisson construction method caisson tilt trend prediction system - Google Patents

Abstract

An unmanned air pressure caisson body tilt monitoring system, including four modules: sensor signal acquisition module, sensor signal processing module, caisson body tilt trend prediction module, real-time display module, sensor signal acquisition module to collect sensor signals, collect The received signal is output to the sensor signal processing module through A/D conversion, which analyzes and extracts the collected sensor signal to provide the required data for the caisson body tilt trend prediction module. Further, it combines the historical information and time information of the caisson body state, calls the caisson body inclination trend prediction algorithm to predict the caisson body inclination trend parameters, and sends it to the real-time display module. The real-time display module is responsible for displaying the current posture and tilt trend posture of the caisson, saving data, calling historical data, and providing an interface for human-computer interaction. By predicting the inclination trend of the caisson body, a decision-making basis is provided for the sinking of the caisson, so as to effectively prevent the inclination of the caisson.

Description

Unmanned pneumatic caisson construction method caisson tilt trend prediction system

technical field

The invention relates to a system used in the technical field of detection, in particular to a system for predicting the inclination trend of a caisson in an unmanned air pressure caisson construction method.

Background technique

The unmanned air pressure caisson construction method is to build a closed working room, and pass a certain amount of compressed air into the working room to balance the groundwater head, so that when working in an anhydrous environment, the operating machinery is all controlled by ground remote control. This construction method has the advantages of small surface settlement around the construction site, little impact on the surrounding environment, high construction efficiency, safety and reliability, and high structural strength. Especially because it is very suitable for close construction, it has great development prospects.

The unmanned air pressure caisson construction method mainly has three methods when the caisson sinks. One is the self-sinking method, that is, the sinking of the caisson depends entirely on the self-weight of the caisson body to overcome the friction of the soil around the caisson body and the soil at the edge of the caisson. Resistance; there is also an improved self-sinking method, or by taking measures to reduce the frictional resistance between the caisson body and the surrounding stratum, or by adding water or other heavy objects to the caisson to increase the self-weight of the caisson to overcome the frictional resistance. Another method is the press-in sinking method, that is, the method of forcibly pressing the box body into the ground by means of a ground anchor counter force device. During the sinking process of the caisson, due to some reason, the friction force between the outer peripheral surface of the caisson and the stratum is not uniform, there is a difference in the force of the soil under the blade foot, and the excavation method is improper, especially because the manager is concerned about the sinking of the caisson. The inclination trend of the caisson is not clear, and it is impossible to decide what effective measures to prevent the caisson from inclining, which makes the caisson very prone to inclination during the sinking process, thereby threatening construction safety and reducing work efficiency.

Through document retrieval, Chinese patent (application number 87102338) has provided a kind of caisson sinking method, and this method is to have the supporting open ditch with the same plane shape of sinking caisson by excavating, will support caisson but be easy to automatically The collapsed supports are put into the dug open ditch, and then the caisson body is built on the open ditch. When sinking, by removing the supports in the open ditch, since the open ditch has been dug in advance, the frictional resistance around the caisson body is basically the same, which can effectively prevent the caisson from tilting. But this method will excavate the open ditch in advance and needs the supporting material that easily collapses, and the engineering quantity increases, and the used material increases, and the cost increases. In addition, this method is not suitable for the occasion of building caissons in water.

As mentioned above, the main reason for the sinking of the caisson is that the force and attitude of the caisson are unknown, and targeted sinking control measures cannot be taken to prevent the caisson from tilting. Therefore, it is necessary to study a new type of caisson. The advanced caisson tilt trend prediction system provides decision-making basis for caisson sinking, so as to take correct sinking measures, so as to prevent the caisson from tilting and ensure the safety of the caisson body when sinking.

Contents of the invention

The purpose of the present invention is to overcome the deficiencies of the prior art, and provide an unmanned gas pressure caisson construction method caisson inclination trend prediction system, so that through timely and accurate analysis and prediction of the inclination trend of the caisson body, the on-site construction personnel according to the monitoring system The prediction result of caisson body inclination provided can prevent the caisson from inclining by adjusting ground anchor reaction force (pressure sinking method) or adjusting the distribution of ballast in the caisson body or changing the excavation method to adjust the caisson posture in time.

The present invention is realized through the following technical solutions, and the present invention includes four modules: a sensor signal acquisition module, a sensor signal processing module, a caisson body inclination trend prediction module, and a real-time display module. The sensor signal acquisition module is responsible for collecting the sensor signals installed in various parts of the caisson body. The collected signals are converted by A/D and serially output to the sensor signal processing module; the sensor signal processing module is responsible for the signal sent by the sensor signal acquisition module For preprocessing, calculate the deviation of the geometric center line of the caisson body, the position of the center of gravity, the total weight, the total surrounding friction force on the caisson body and its distribution, the buoyancy of the gas in the working room on the caisson body, and the ground anchor on the caisson body. The calculation results are sent to the caisson body tilt trend prediction module as the output of the sensor signal processing module; the caisson body tilt trend prediction module uses the finite element analysis method to calculate according to the data sent by the sensor signal processing module Output the caisson tilt trend parameters, these parameters are sent to the real-time display module as the output of the caisson tilt trend prediction module; the real-time display module displays the current posture of the caisson in real time according to the data sent by the caisson tilt trend prediction module , inclined trend posture, and provide an interface for human-computer interaction.

The sensor signal acquisition module is responsible for collecting the sensor signals installed on the caisson body, and carries out analog-to-digital conversion to the collected signals. The sensor signal acquisition module is realized by the A/D card installed on the field PC, and can carry out multiple Channel sensor signal data acquisition, the multi-channel signals output by the sensor signal acquisition module are sent to the sensor signal processing module for processing.

The sensor signal processing module performs data preprocessing on the signals collected by the sensor acquisition module, and these data preprocessing includes: according to the data sent by the sensor signal processing module, calculate the geometric centerline deflection, center of gravity position and total weight of the caisson , Calculate the total surrounding frictional force and its distribution on the caisson body, calculate the buoyancy force of the gas in the working room on the caisson body and the force of the ground anchor on the caisson body. The result of data preprocessing is sent to the caisson tilt trend prediction module as the output of the sensor signal processing module for processing.

The caisson tilt trend prediction module predicts and calculates the tilt trend of the caisson body according to the data sent by the sensor signal processing module, and the calculation result is used as an input of the real-time display module. The caisson tilt trend prediction module is mainly composed of the caisson tilt trend algorithm; the caisson tilt trend algorithm is based on the geometric center line offset, center of gravity and total weight of the caisson sent by the sensor signal processing module, the friction force around the caisson and its Distribution, the buoyancy of the gas in the working room to the caisson, the resistance of the soil at the blade foot, the force of the ground anchor on the caisson, combined with the time when the caisson body tilt changes (this time is generally the data update time period of the sensor signal processing module Instead), the caisson body inclination trend parameters are calculated by finite element analysis. The output results of the caisson tilt trend prediction algorithm include: caisson body tilt direction, tilt speed, tilt acceleration and other parameters, these parameters are sent to the real-time display module as the output of the caisson body tilt prediction module for processing.

Described real-time display module sends the data according to caisson body inclination prediction module, and this module realizes with VB technology, is divided into two parts of user interface and background running program, and this module real-time displays the current posture of caisson body, tilt trend posture , and save the data output by the caisson tilt trend prediction module. At the same time, the module also provides an interface for human-computer interaction, so that the posture of the caisson at a certain moment can be displayed according to the user's requirements, and it can also be used according to the caisson. The tilt trend data parameters call the expert database stored on the PC, and give the corresponding measures to prevent the caisson from tilting. The caisson sinking construction manager, according to the caisson sinking trend parameters, combined with the measures to prevent the caisson from tilting given by the display module, the manager properly adjusts the force of the caisson body and the excavation method according to his own actual experience to prevent the caisson from tilting .

This method can effectively prevent the caisson body from tilting, not only can ensure safe construction, but also save construction costs and shorten the construction period, making the unmanned air pressure caisson method more competitive.

Description of drawings

Fig. 1 system block diagram of the present invention

Fig. 2 system functional block diagram of the present invention

Detailed ways

As shown in Fig. 1, the present invention includes four modules: a sensor signal acquisition module, a sensor signal processing module, a caisson tilt trend prediction module, and a real-time display module. These four modules are implemented in a field PC industrial computer. The input of the sensor signal acquisition module is connected with the multi-channel sensor installed on the caisson body, the output of the sensor signal acquisition module is connected with the input of the sensor signal processing module; the output of the sensor signal processing module is connected with the caisson body inclination trend prediction module; The output of the caisson body inclination trend prediction module is connected with the real-time display module.

The sensor signal acquisition module collects signals from the sensors installed on the caisson body, and performs analog-to-digital conversion on the collected signals, and the converted signal is sent to the sensor signal processing module for processing as the output of the sensor signal acquisition module. The sensor signal acquisition module is realized by the A/D card installed on the field PC, and the A/D card can carry out multi-channel sensor signal data acquisition. What the A/D card in the present invention adopts is AD7705, and the AD7705 acquisition card has 2 channel input , It can reach 16-bit resolution, and the AD7705 acquisition card has no missing codes, and only a small amount or no signal conditioning is required, and it can be serially output to the sensor signal processing module for processing.

The sensor signal processing module performs data preprocessing on the signal sent by the sensor acquisition module, and the result of the data preprocessing is sent to the caisson body tilt trend prediction module as the output of the sensor signal processing module; these data preprocessing includes: according to the sensor signal processing module From the data sent, calculate the deflection of the geometric center line of the caisson, the position of the center of gravity and the total weight, the resistance of the soil at the edge of the foot, calculate the total surrounding friction force and its distribution on the caisson body, and calculate the impact of the gas in the working room on the sinker. The buoyancy of the box body; when using the method of forcibly pressing the box body into the ground with the help of the ground anchor reaction device, the force acting on the caisson by the ground anchor must also be calculated.

The caisson inclination trend prediction module calls the caisson inclination trend prediction algorithm to predict the caisson inclination trend according to the data sent by the sensor signal processing module, combined with the saved historical data and the time interval of the caisson inclination change. The predicted result is sent to the real-time display module as the output of the caisson body inclination trend prediction module. The core of the caisson body inclination trend prediction module is the caisson body inclination trend algorithm, which is based on the geometric centerline offset, center of gravity and total weight of the caisson sent by the sensor signal processing module, the friction force and its distribution around the caisson, and the Data such as the buoyancy of the gas on the caisson, the resistance of the soil at the blade foot, the force of the ground anchor on the caisson, etc., combined with the time when the inclination of the caisson body changes (this time is generally replaced by the data update time period of the sensor signal processing module) , using the finite element analysis method to calculate the tilt trend parameters of the caisson body. The finite element analysis method can be said to analyze the stress of the caisson body in detail, and can also accurately calculate the inclination trend of the caisson body; the prediction results output by the caisson inclination trend prediction algorithm include: the inclination direction of the caisson body, the inclination Velocity, tilt acceleration, etc.

The real-time display module displays the current posture and tilt trend posture of the caisson body in real time according to the data sent from the caisson body tilt trend prediction module, calls and saves the data output by the caisson body tilt trend prediction module, and can also be used according to the user's request. It is required to display the posture of the caisson body at a certain moment, and according to the data parameters of the caisson body inclination trend, the expert database stored on the PC can be called to provide corresponding measures to prevent the caisson from inclining. The caisson sinking construction manager, according to the caisson sinking trend parameters, combined with the measures to prevent the caisson from tilting given by the display module, and combined with the manager's own actual experience, properly adjusted the force of the caisson body and the excavation method to prevent the caisson from tilting. Purpose. This module is implemented with VB technology, and is divided into two parts: the user interface and the running program in the background. The user interface displays various postures and data information of the caisson body, and provides a human-computer interaction interface for the user; the background running program is responsible for background running data call, data processing, and result storage.

Claims (6)

1, a kind of unmanned air pressure caisson working caisson slope trend predicting system, it is characterized in that, comprise four modules: collecting sensor signal module, sensor signal processing module, caisson body slope trend predicting module, real-time display module, the collecting sensor signal module is responsible for gathering and is installed in caisson body sensor signal everywhere, through conversion, be input to the sensor signal processing module; The signal that sensing signal processing module is sent here the collecting sensor signal module is done pre-service, computational data, and result calculated is delivered to caisson body slope trend predicting module as the output of sensor signal processing module; The data that caisson body slope trend predicting module is sent here according to the sensor signal processing module adopt limited element analysis technique to calculate caisson body slope trend parameter, and these parameters are sent to real-time display module as the output of caisson body slope trend predicting module; The real-time data sent here according to caisson body slope trend predicting module of display module show current attitude, the slope trend attitude of caisson body in real time, and provide an interface for man-machine interaction.

2, the unmanned air pressure caisson working caisson slope trend predicting system described in claim 1, it is characterized in that, described collecting sensor signal module, acquired signal, and the signal that collects carried out analog to digital conversion, the collecting sensor signal module is realized by the A/D card that is installed on the on-the-spot PC, can carry out the multichannel sensor signal data acquisition, delivers to the sensor signal processing module by the multiple signals of collecting sensor signal module output then and handles.

3, the unmanned air pressure caisson working caisson slope trend predicting system described in claim 1, it is characterized in that, described sensor signal processing module, the signal that the sensor acquisition module is collected carries out the data pre-service, these data pre-service comprise: the data of sending here according to the sensor signal processing module, calculate that geometric center lines deflection, centre of gravity place and general assembly (TW), the calculating caisson body of caisson be subjected to total around friction force and distribution thereof, evaluation work indoor gas to the buoyancy of caisson body and earth anchor acting force to caisson.

4, unmanned air pressure caisson working caisson slope trend predicting system described in claim 1, it is characterized in that, described caisson body slope trend predicting module, mainly form by caisson body slope trend algorithm, the geometric center lines deflection of the caisson of sending here according to the sensor signal processing module, centre of gravity place and general assembly (TW), friction force and distribution thereof around the caisson, the work indoor gas is to the buoyancy of caisson, sword pin place is subjected to the drag of soil, earth anchor is to the acting force of caisson, in conjunction with the time that the caisson body tilts to change, this time replaced with the sensor signal processing module Data Update time cycle.

5, the unmanned air pressure caisson working caisson slope trend predicting system described in claim 4, it is characterized in that, described caisson slope trend predicting algorithm, the result of its output comprises: the direction that the caisson body tilts, the speed of inclination, the parameters such as acceleration of inclination, these parameters are delivered to real-time display module as the output of caisson body inclination prediction module and are handled.

6, unmanned air pressure caisson working caisson slope trend predicting system described in claim 1, it is characterized in that, the data that described real-time display module is sent here according to caisson body inclination prediction module, this module realizes with the VB technology, be divided into user interface and running background program two parts, and the data of preservation caisson body slope trend predicting module output, this module also will provide the connection interface of man-machine interaction simultaneously, thereby can show caisson body attitude sometime according to user's requirement, according to caisson body slope trend data parameters, call the expert database that is stored on the PC, provide the measure that prevents caisson slope accordingly.

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