CN-122020793-A - Slurry shield slag output estimation method and system based on liquid level of storage tank

CN122020793ACN 122020793 ACN122020793 ACN 122020793ACN-122020793-A

Abstract

The embodiment of the invention provides a slurry shield slag output estimation method and system based on a liquid level of a storage tank, which realize continuous and automatic slag output estimation based on solid-liquid conservation by fusing multi-source data such as liquid level change, water supplementing quantity, filter-pressing waste slurry quantity, laser scanning slag soil volume and the like of the storage tank system in real time. The method effectively overcomes the defects of low efficiency, large error and incomplete estimation depending on a single main parameter in the traditional manual statistics, and remarkably improves the instantaneity and accuracy of slag quantity monitoring. The system can provide immediate and reliable data feedback for constructors, so that the stratum change of the tunneling surface and the working state of a slurry system can be mastered more accurately, the optimization and adjustment of tunneling parameters are supported, the construction risks such as overexcavation, underexcavation and gushing are prevented, the safety, the high efficiency and the controllability of shield construction are finally ensured, and the slurry shield construction is promoted to develop to the digitalized and intelligent direction.

Inventors

CHEN HAIFENG
WANG HONGYU
HU SHUAI
QU XIAOJUN
SUN DONGZE
LIU XIAOBO
ZHU WENKAI
ZHU HONGJIAN
GUO ZHIYUAN
QIN CHEN
ZHOU LIN
HOU HAIFANG
Wang Langke
LI HAIBO
SUN TIANSHE
SHI PEIXIN
HAO JIANLEI
WU DI
CHENG CHENG
LI KAIYIN

Assignees

中铁四局集团有限公司
中铁四局集团第二工程有限公司
苏州市建设工程质量安全监督站
苏州大学

Dates

Publication Date: 20260512
Application Date: 20260127

Claims (10)

1. The method is applied to a muddy water circulation system, and the muddy water circulation system at least comprises a storage subsystem, a water supplementing pipeline, a filter press and a slag water ion system, wherein the method comprises the following steps: Step S1, acquiring liquid level height data of each storage tank in a storage tank subsystem in real time, and calculating total volume change V sys,n of slurry in the storage tank subsystem in a preset tunneling period based on a structural model of each storage tank and the corresponding liquid level height data of each storage tank, wherein the storage tank subsystem comprises a pre-stirring tank, a waste slurry tank, an adjusting tank and an air cushion bin; S2, collecting water replenishing flow data of a water replenishing pipeline in real time, and calculating total volume V w,n of water added into the storage tank subsystem through the water replenishing pipeline in the preset tunneling time based on the water replenishing flow data; S3, acquiring the working times of a filter pressing plate of the filter press in real time, and calculating the volume V p,n of filter pressing waste slurry based on the working times of the filter pressing plate; Step S4, periodically acquiring three-dimensional point cloud data of a slag soil pile body discharged by a slag water separation system, and calculating the total volume V s,n of newly added separated slag soil in the preset tunneling period based on the three-dimensional point cloud data; And S5, calculating slag quantity Q n according to the V sys,n 、V w,n 、V p,n 、V s,n , wherein slag quantity Q n =V sys,n -V w,n +V p,n +V s,n is obtained.
2. The method of claim 1, wherein calculating the total volume change V sys,n of the slurry in the reservoir subsystem over a predetermined tunneling period based on the structural model of each reservoir and the corresponding level height data of each reservoir comprises: The method comprises the steps of establishing a conversion model of liquid level height and slurry volume in each storage tank according to a structural model of each storage tank, converting liquid level height data acquired in real time into instantaneous slurry volume of each storage tank based on the conversion model, and summing up the instantaneous slurry volume change of each storage tank in the preset tunneling period to obtain the total volume change V sys,n .
3. The method of claim 2, wherein the structural model of each reservoir is a regular vertical cylinder model, and the scaled model of the liquid level height and the slurry volume is: Wherein V i (k) is the volume of slurry in the ith storage tank at the moment k, A i is the effective horizontal sectional area of the ith storage tank, H i (k) is the height of liquid in the ith storage tank at the moment k, and V i,0 is the dead angle volume of the bottom structure of the ith storage tank.
4. A method according to claim 3, wherein the collecting in real time the make-up water flow data of the make-up water line, calculating the total volume V w,n of water added to the reservoir subsystem through the make-up water line during the preset tunneling time based on the make-up water flow data, comprises: And an intelligent water meter is arranged on the water supplementing pipeline to collect instantaneous water supplementing flow data, and the instantaneous water supplementing flow data is integrated in the preset tunneling period to calculate and obtain the total volume V w,n of water.
5. The method according to claim 4, wherein the step S3 specifically includes: s31, obtaining the standard filter cake volume generated by a single filter pressing cycle of the filter press; S32, calculating the actual waste pulp volume corresponding to a single filter pressing cycle according to a preset filter pressing volume correction coefficient and aiming at the standard filter cake volume; And S33, accumulating the times of filter pressing circulation occurring in the preset tunneling period, and calculating to obtain the volume V p,n of the filter pressing waste slurry.
6. The method according to claim 5, wherein the step S4 specifically includes: step S41, triggering a laser scanning device to acquire original three-dimensional point cloud data of the muck pile body at fixed time intervals and/or in response to a start-stop signal of the muck water separation system in the preset tunneling period; S42, processing the original three-dimensional point cloud data, and identifying and dividing an effective point cloud belonging to the muck pile; S43, extracting the section profile of the muck pile body by a radial ray scanning method based on the effective point cloud; s44, calculating to obtain the instantaneous volume of the slag soil pile corresponding to each scanning through geometric integral according to the extracted section profile; And step S45, calculating to obtain the total volume V s,n of the newly-added separated slag soil according to the instantaneous volume difference of the slag soil pile body at the starting time and the ending time in the preset tunneling period.
7. The method according to claim 6, wherein the step S42 specifically includes: step S421, the obtained original three-dimensional point cloud data are projected to a horizontal plane to form a two-dimensional plane point set; Step S422, dividing the area where the two-dimensional plane point set is located into a plurality of regular grids with uniform sizes; Step S423, counting the number of projection points falling into each regular grid to obtain a point cloud density value of each grid, thereby generating a point cloud density distribution map; Step S424, analyzing a curve of the point cloud density value along a plurality of radial directions which are uniformly distributed by taking the installation position of the laser scanning equipment as the center, wherein the curve is changed along with the radial distance; Step S425, determining a slag soil pile boundary point in each radial direction by detecting a mutation point with a gradient value exceeding a preset threshold value in the density change curve; step S426, sequentially connecting boundary points in all radial directions to form a closed horizontal projection boundary of the residue soil pile body; And S427, extracting all points positioned in the boundary from the original three-dimensional point cloud data according to the horizontal projection boundary, merging and marking the points as the effective point cloud.
8. The method according to claim 7, wherein the step S43 specifically includes: Step S431, uniformly setting N radial scanning rays in a horizontal plane along a 360-degree range by taking the center of laser scanning equipment as a scanning origin, wherein the included angle between adjacent rays is a fixed value; step S432, searching all points located in the radial direction in the effective point cloud obtained in step S42 for each radial scanning ray; Step S433, screening out a point S which is closest to the scanning origin and has the largest vertical height coordinate value from the searched points, and determining the point S as a contour feature point in the current ray direction; step S434, traversing all N radial scanning rays, and repeating steps S432 and S433 to obtain a set formed by N profile characteristic points, wherein the set defines the section profile of the muck pile body at the scanning moment.
9. A slurry shield slag amount estimation system based on a reservoir liquid level, the system comprising: The data acquisition module is used for executing the data acquisition and acquisition functions in the steps S1 to S4; the volume calculation module is connected with the data acquisition module and is used for receiving the acquired data and executing the volume calculation function in the steps S1 to S4; And the slag quantity calculating and outputting module is connected with the volume calculating module and is used for executing the step S5, calculating the slag quantity based on the received volume data and outputting the slag quantity.
10. The system of claim 9, wherein the data acquisition module comprises: the liquid level sensors are arranged in the storage tanks and are used for collecting liquid level height data; the flow metering device is arranged on the water supplementing pipeline and is used for collecting water supplementing flow data; The counting unit is in communication connection with the filter press controller and is used for acquiring the working times of the filter press plate; The three-dimensional scanning device is arranged above the dregs stacking area and is used for acquiring three-dimensional point cloud data of the dregs stacking body.

Description

Slurry shield slag output estimation method and system based on liquid level of storage tank Technical Field The invention relates to the technical field of slurry shield construction, in particular to a slurry shield slag discharge amount estimation method and system based on a liquid level of a storage tank. Background The slurry shield technology is a key construction method of large-scale underground engineering such as crossing complex water-rich stratum, building subway, crossing river and sea tunnel and the like. The technology relies on a mud circulation system to maintain the stability of an excavation surface and carry dregs generated by tunneling out of a tunnel in a mud mode. In the construction process, the accuracy of the slag output is directly related to the pressure balance of an excavation face, the stratum disturbance control, the efficiency evaluation of a slurry system and the construction cost accounting, and is one of core control parameters for guaranteeing the safety, the high efficiency and the economic propulsion of the engineering. In slurry circulation systems of slurry shields, the amount of slag is traditionally estimated by a principle based on conservation of fluid mass, i.e. monitoring the difference in flow and density of the slurry into and out of the tunnel. However, this process is highly dependent on the accuracy and reliability of the flow and densitometers installed on the main pipeline. In practical construction, the system comprises a plurality of slurry storage tanks (such as a pre-mixing tank, an adjusting tank, a waste slurry tank, an air cushion bin and the like) which are communicated with each other, and a plurality of parallel process links such as water supplementing, filter pressing dehydration, slag soil separation and the like are involved. The complexity of the system makes it difficult to comprehensively and truly reflect the real-time dynamic change of the materials in the whole system by simply relying on the main parameters of the slurry inlet and outlet ports. At present, the acquisition of slag quantity in industry mainly has the following problems that firstly, manual statistics and experience estimation are relied on, the efficiency is low, subjective errors are large, real-time feedback cannot be realized, secondly, the measurement means is single, only main circulation pipeline data is usually focused, the comprehensive influence of key variables such as liquid level fluctuation, water supplementing quantity, filter pressing waste slurry volume, separated slag soil solid volume and the like in a storage tank system is ignored, conservation calculation model errors are accumulated, and finally, the measurement of separated slag soil is very rough, a weighing or estimation mode is often adopted, and the precision is insufficient. These defects together lead to the difficulty in real-time, accurate and automatic estimation of slag discharge amount in the shield tunneling process in the prior art, and cannot meet the requirements of modern and intelligent shield construction on fine process control. Disclosure of Invention In view of the foregoing, it is desirable to provide a method and a system for estimating a slag output of a slurry shield based on a reservoir level, which overcome or at least partially solve the foregoing problems, and in particular: the slurry shield slag amount estimation method based on the liquid level of the storage tank is applied to a slurry circulating system, and the slurry circulating system at least comprises a storage tank subsystem, a water supplementing pipeline, a filter press and a slag water separation system, wherein the method comprises the following steps: Step S1, acquiring liquid level height data of each storage tank in a storage tank subsystem in real time, and calculating total volume change quantity V sys,n of slurry in the storage tank subsystem in a preset tunneling period based on a structural model of each storage tank and the corresponding liquid level height data of each storage tank, wherein the storage tank subsystem comprises a pre-stirring tank, a waste slurry tank, an adjusting tank and an air cushion bin; S2, collecting water replenishing flow data of a water replenishing pipeline in real time, and calculating total volume V w,n of water added into the storage subsystem through the water replenishing pipeline in preset tunneling time based on the water replenishing flow data; S3, acquiring the working times of a filter pressing plate of the filter press in real time, and calculating the volume V p,n of the filter pressing waste slurry based on the working times of the filter pressing plate; step S4, periodically acquiring three-dimensional point cloud data of a slag soil pile body discharged by a slag water separation system, and calculating newly added total volume V s,n of separated slag soil in a preset tunneling period based on the three-dimensional point cloud data; And S5, calculati