CN113806843B - Deformation analysis system and method based on dynamic fluctuation of sedimentation tank bottom - Google Patents
Deformation analysis system and method based on dynamic fluctuation of sedimentation tank bottom Download PDFInfo
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Abstract
The invention relates to a deformation analysis system and a method based on dynamic fluctuation of a sedimentation tank bottom, wherein the system at least comprises a monitoring module, a first processing module and a second processing module, wherein the first processing module establishes a first correlation curve of preset sedimentation depth and time based on sedimentation sample information and sends the first correlation curve to the second processing module, the second processing module establishes a second correlation curve of real-time preset sedimentation depth and time based on sedimentation information which is acquired by the monitoring module and is related to time, and the second processing module updates the second correlation curve in a mode of updating the preset sedimentation depth and judges the abnormal condition of the dynamic of the sedimentation tank bottom under the condition that the second correlation curve and the first correlation curve are different; time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event. By monitoring the change of the sedimentation tank with the time at which the preset sedimentation depth occurs as the sampling period, the risk of the sedimentation tank can be found out in time and the prediction of the risk can be performed.
Description
Technical Field
The invention relates to the technical field of tunnel construction, in particular to a deformation analysis system and method based on dynamic fluctuation of a sedimentation tank bottom.
Background
The PBA construction method is to construct a small pilot tunnel at the upright post, and then construct a bottom beam in the tunnel after the pilot tunnel is constructed, so as to form a thin and high longitudinal structure.
The settling tank is generated in the engineering of a foundation pit and a shield tunnel. In foundation pit engineering, foundation pit excavation affects soil around a pit, so that soil outside the pit slides into the pit, and a sedimentation tank is formed around the foundation pit; as above, the shield tunnel is excavated with the loss of surrounding soil mass, so that a settling tank is generated within a certain range. When the control of the sedimentation tank is improper, the sedimentation tank generated in the foundation pit and shield tunnel engineering often has adverse effect on the surrounding environment, mainly causes deformation or even damage to surrounding roads, buildings and various facilities, even causes casualties, and is particularly important to the protection of life and property by reducing the scope and settlement of the sedimentation tank.
Chinese patent CN112380757a discloses an analysis method of the offset distance of the peak point of the surface subsider during the construction of a curved tunnel, which is used to determine the offset distance of the peak point of the surface subsider under different radius conditions of the line; the method is based on the phenomenon that the peak point of the earth surface subsider is offset caused by a curve type shield tunnel, adopts a numerical simulation method, and determines the functional relation between the radius of a curve type tunnel line and the peak point offset distance of the earth surface subsider by fitting calculation results under different working conditions, so as to provide a novel calculation method for the peak point offset distance of the earth surface subsider during construction of the curve type tunnel; the scheme considers the overbreak area of the curve tunnel and simulates by the elastic equivalent substitution layer, so that the simulation conditions are more in line with the actual situation of site construction, the analysis result is more accurate, the basis is provided for the control of uneven settlement of the overlying building and the surface settlement treatment, and the normal use of the building and the safe construction of the tunnel are ensured. However, the method cannot analyze the cause of deformation based on the deformation of the surface subsider, and does not take the actual construction time and working procedure of the working condition into consideration, so that the obtained deformation difference between the subsider and the actual construction is large.
Chinese patent CN104295304B discloses a method for generating a subway tunnel settling tank for realizing different settling distribution guarantee rates, which mainly comprises generating a settling tank curve; the method comprises three parts of generating an envelope curve of a settling tank and calculating settlement prediction parameters, wherein the three parts are specifically used for acquiring the distance between each monitoring point and the central line of a tunnel and the settlement value of the monitoring point; calculating a regression sedimentation tank curve; setting the envelope proportion of the monitoring points, and adjusting the envelope proportion to obtain a maximum envelope curve and a minimum envelope curve on the basis of a regression sedimentation tank curve; and (3) calculating the maximum sedimentation tank coefficient, the minimum sedimentation tank coefficient, the regression sedimentation tank coefficient, the maximum area loss rate, the minimum area loss rate and the regression area loss rate of 3 curves given the tunnel diameter and the burial depth. The invention takes actual monitoring data as a basis, considers the probability distribution of subsidence, forms a distribution rule and a distribution range of earth surface subsidence caused by underground excavation or shield tunnel, forms a prediction parameter of the distribution range, and has strong practicability, convenient use and wide application prospect. However, the sedimentation process of the sedimentation tank is a dynamic process, and the invention still only calculates and predicts the sedimentation result, and does not consider the influence of the gradual dynamic change process, the engineering sequence and the working procedure implementation time in the deformation process of the sedimentation tank, so that the actual result and the predicted result of the sedimentation tank have larger deviation.
Furthermore, there are differences in one aspect due to understanding to those skilled in the art; on the other hand, since the applicant has studied a lot of documents and patents while making the present invention, the text is not limited to details and contents of all but it is by no means the present invention does not have these prior art features, but the present invention has all the prior art features, and the applicant remains in the background art to which the right of the related prior art is added.
Disclosure of Invention
In the prior art, a three-dimensional earth surface subsidence prediction model considering a time effect is established through a normal distribution cumulative function and a random medium theory, and a subsidence-time model is obtained. However, the dynamic fluctuation of the settling tank is affected not only by geology and time, but also by the construction process and the construction sequence. For example, in the PBA construction method, the asymmetric construction of the PBA construction method results in the deviation of the buckle arch. In the process of 8 pilot holes in the practical engineering of a PBA typical station, the distribution construction of a plurality of pilot holes causes the uneven change of stratum space, so that the space form of the surface subsider swings left and right along with the excavation of the pilot holes. Therefore, how to adjust the construction sequence according to the space morphological change of the earth surface sedimentation tank obtained by monitoring, so that the offset of the tank bottom of the earth surface sedimentation tank is reduced or even eliminated is a technical problem which is not solved at present.
Moreover, in the prior art, calculation simulation of the settling tank can only carry out data statistics and offset analysis on the settlement which has occurred, the settlement risk of the settling tank cannot be estimated and predicted, and a proposal scheme of construction procedures and procedure connection time cannot be provided for the abnormality of the settlement speed of the settling tank. In the actual construction process, the procedures are changed in a plurality of ways, the construction sequence is not strictly standard, the time sequence relationship is not clear, and a plurality of fuzzy places exist in the design details. In actual construction, a small change of the construction sequence can have a great influence on stratum deformation. The simulation prediction has insufficient reflection on the construction stress process, and more uncertainty exists in the actual monitoring work, and the factors greatly influence the accuracy of early warning and forecasting. Many times, the monitored data has not reached an alarm condition, but an accident still occurs. At present, deformation degree is difficult to evaluate only through general selected items, and accurate engineering early warning and forecasting cannot be performed.
The invention aims to provide a prediction system which can monitor the sedimentation speed of a sedimentation tank in the construction process, can analyze the safety degree based on factors such as the sedimentation speed, the space deformation, the construction process, the process connection time and the like of the sedimentation tank and gives construction early warning.
Aiming at the defects of the prior art, the invention provides a deformation analysis system based on dynamic fluctuation of a sedimentation tank bottom, which at least comprises a monitoring module, a first processing module and a second processing module, wherein the first processing module establishes a first correlation curve of preset sedimentation depth and time based on sedimentation sample information and sends the first correlation curve to the second processing module, the second processing module establishes a second correlation curve of real-time preset sedimentation depth and time based on sedimentation information which is acquired by the monitoring module and is related to time, and the second processing module updates the second correlation curve in a mode of updating the preset sedimentation depth and judges dynamic abnormal conditions of the sedimentation tank bottom under the condition that the second correlation curve and the first correlation curve are different; wherein the time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event.
In the prior art, the sedimentation depth of a sedimentation tank is monitored by a fixed sampling time period. When abnormal sedimentation occurs in the sedimentation tank, the collapse risk is increased, however, the monitoring device can only find out after the sampling time period is reached to acquire the sampling data, and the acquisition of the abnormal data is definitely delayed. Moreover, for the time period in which sedimentation does not occur or sedimentation is not obvious, the construction safety degree is high at this stage, the effect of sedimentation data frequently collected by the monitoring device is limited, and the monitoring device frequently collects and sends data to the data processing module, so that the data transmission amount, the data calculation amount and the data storage amount of the data processing module are increased. The large number of data transfers necessarily exacerbates the delay effect of the data, such that the time at which the data processing module finds an anomaly is delayed in units of milliseconds, even 1 second. This is clearly disadvantageous for underground works where the risk of collapse is prevented.
According to the invention, the sedimentation condition of the sedimentation tank is monitored by taking the time of occurrence of the preset sedimentation depth as the sampling time period, so that the abnormality of the sedimentation speed can be monitored more timely. When the sedimentation tank is slowly settled, the monitoring device can reduce the frequency of sending data and the data volume. When the sedimentation tank descends rapidly, the monitoring device can send sedimentation data and time data to the data processing module. Even under the condition that the preset sedimentation depth is determined, the monitoring device only needs to send the time data with the preset sedimentation depth to the first data processing module and the second data processing module, the data size is small, the data delay phenomenon of the data in the transmission process is reduced, the data analysis module can rapidly respond to abnormal data, and accordingly early warning information and/or construction suggestions can be timely sent.
Preferably, the predetermined sedimentation depth for sampling is set in such a manner that the sampling time period is shortened as the depth becomes larger. The deeper the sedimentation depth of the sedimentation tank, the higher the risk of occurrence. Therefore, the depth of the settling tank becomes large, the preset settling depth is reduced, that is, the sampling time period is shortened, so that the effectiveness of the settlement monitoring of the settling tank is improved.
Preferably, in the case that the second correlation curve is different from the first correlation curve, the second processing module shortens the sampling time period in such a way as to reduce the preset sedimentation depth; wherein, the time of the preset sedimentation depth is the sampling time period. The advantage of this setting is that when subsidence is unusual, can increase sampling frequency through shortening sampling time period to in time discover the danger of the unusual subsidence of subsider, in time send the early warning.
Preferably, the first processing module extracts corresponding dynamic fluctuation track information of the sedimentation tank bottom based on the input geological parameters, the sedimentation tank parameters and the construction sequence information, and extracts a first association curve corresponding to a preset sedimentation depth based on the dynamic fluctuation track information of the sedimentation tank bottom. In the invention, in the sedimentation sample data, the sedimentation depth and the data sampling time form a curve with a slope. The curve in the invention can be a fitted curve or a bent curve. Because the geological parameters, the sedimentation tank parameters and the construction sequence information are all related to the slope of the time curve within a preset depth, whether sedimentation is abnormal can be seen more objectively by comparing the slope changes. For a settling tank approximating geological conditions, the correlation curves are similar, and the settlement risk of subsequent construction can be found and predicted in time by comparison.
Preferably, in response to the preset settlement depth update information and/or the construction process update information sent by the second processing module, the first processing module updates a sampling time period corresponding to the preset settlement depth so as to synchronously update the first association curve information. When the two associated curves are compared, the same construction process sequence, the same preset sedimentation depth and the geological parameters are similar, then the slope of the curves should be similar. When the slope of the curve is different and exceeds a difference threshold, the sedimentation abnormality can be found in time. Therefore, it is necessary to adjust the first correlation curve to the same preset sedimentation depth as the second correlation curve, and a better comparison result can be obtained.
Preferably, the second processing module compares the periodic variation difference value of the settling tank of the same construction process by the second correlation curve and the first correlation curve based on the real-time sampling time period change rate, and sends out early warning information when the periodic variation difference value is larger than a periodic variation threshold value. In the invention, each construction process is provided with a corresponding period difference threshold value of sedimentation abnormality. When the periodic variation difference value is abnormal, the abnormal settlement of the settling tank is indicated, and the current construction progress is required to be timely investigated and adjusted by a constructor, so that the current construction risk is reduced.
Preferably, the second processing module adjusts the predicted portion of the second correlation curve based on the sampling time period change rate of the first correlation curve, and sends out early warning information when the sedimentation depth of the predicted portion of the second correlation curve is greater than a depth threshold corresponding to the construction process. Since the height of the underground works is determined, the depth threshold at which hazards can occur is also determined. When the subsequent settlement is predicted from the current settlement depth and the slope of the sample data, the settlement depth is greater than the depth threshold, which necessarily results in penetration and collapse of the underground tunnel. Therefore, the construction party can adjust the current construction process and the process connection time based on the early warning, and the future construction risk is avoided as much as possible.
Preferably, when the second correlation curve is different from the first correlation curve for one time, the second processing module performs one-time reduction and updating of the preset sedimentation depth, compares the updated first correlation curve with the second correlation curve, and when the second correlation curve is different from the first correlation curve for the nth time, if the periodic variation difference value corresponding to the current preset sedimentation depth is greater than the periodic variation threshold value, the second processing module sends early warning information to at least one terminal. And when the difference occurs once, the value of the preset sedimentation depth is reduced, so that the sampling time period is shortened, the sedimentation depth is closely monitored, the correlation curve is enabled to be close to a smooth curve in a wireless manner, a more accurate sedimentation-time correlation curve is obtained, abnormal points on the curve can be monitored in time, and timely early warning is realized. Compared with the prior art, the method can be found out in time as soon as the settlement abnormality occurs, so that the construction party is given early warning to reduce the current and future construction risks.
The invention also provides a deformation analysis method based on dynamic fluctuation of the bottom of the sedimentation tank, which at least comprises the following steps: establishing a first correlation curve of preset sedimentation depth and time based on sedimentation sample information, establishing a second correlation curve of real-time preset sedimentation depth and time based on collected sedimentation information related to time, and updating the second correlation curve in a mode of updating the preset sedimentation depth and judging the dynamic abnormal condition of the bottom of the sedimentation tank under the condition that the second correlation curve is different from the first correlation curve; wherein the time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event.
Preferably, the method further comprises: the preset sedimentation depth for sampling is set in such a manner that the sampling time period is shortened as the depth becomes larger.
Preferably, the method further comprises: in the case that the second correlation curve is different from the first correlation curve, the second processing module shortens a sampling time period in a manner of reducing the preset sedimentation depth; wherein, the time of the preset sedimentation depth is the sampling time period.
Preferably, the method further comprises: the first processing module extracts corresponding dynamic fluctuation track information of the sedimentation tank bottom based on input geological parameters, sedimentation tank parameters and construction sequence information, and extracts a first association curve corresponding to preset sedimentation depth based on the dynamic fluctuation track information of the sedimentation tank bottom.
Preferably, the method further comprises: and responding to the preset sedimentation depth updating information and/or the construction process updating information sent by the second processing module, and updating the sampling time period corresponding to the preset sedimentation depth by the first processing module so as to synchronously update the first association curve information.
Preferably, the method further comprises: and the second processing module compares the periodic variation difference value of the settling tank of the same construction process of the second association curve and the first association curve based on the real-time sampling time period variation rate, and sends out early warning information when the periodic variation difference value is larger than a periodic variation threshold value.
Preferably, the method further comprises: the second processing module adjusts a predicted portion of the second correlation curve based on a sampling time period rate of change of the first correlation curve,
And sending out early warning information when the periodic variation difference value is larger than a periodic variation threshold value at the periodic variation difference value of the predicted part of the second association curve and the corresponding part of the first association curve.
Preferably, the method further comprises: and when the second correlation curve is different from the first correlation curve for the nth time, if the periodic variation difference value corresponding to the current preset sedimentation depth is larger than a periodic variation threshold value, the second processing module sends early warning information to at least one terminal.
The method of the invention can reduce the data transmission quantity between the monitoring equipment and the data processing module, reduce the data delay and enable the abnormal early warning to respond in time; the invention can also monitor the data with curve difference for a plurality of times to increase and correlate the data with the curve, so that early warning can be sent out in advance when abnormal settlement can cause construction danger, and a construction party can adjust the construction process sequence in advance. The process connection time is used for changing the sedimentation velocity, namely the sampling time period for sedimentation with preset depth is changed, so that future construction risks are eliminated.
Drawings
FIG. 1 is a schematic diagram of the logic module of the deformation analysis system based on dynamic fluctuation of the bottom of the settler of the invention;
FIG. 2 is a schematic perspective view of an underground construction of the present invention;
Fig. 3 is a diagram of the trajectory of the settler floor dynamics for a certain construction process.
FIG. 4 is a graph showing the relationship between the preset sedimentation depth and the sampling time;
Fig. 5 is a schematic diagram of a comparison of a second correlation curve with a first correlation curve in real time.
List of reference numerals
10: A monitoring module; 21: a first processing module; 22: a second processing module; 30: and (5) a terminal.
Detailed Description
The following detailed description refers to the accompanying drawings.
The prior art focuses on predicting the final displacement result of the sedimentation tank bottom after the construction is finished, ignores that the change of the sedimentation tank bottom is dynamic in the construction process, and ensures that the dynamic change of the sedimentation tank bottom is different along with different construction processes, different construction time of each process and different construction sequence, finally, the predicted position and the actual position of the sedimentation tank bottom can only be mostly completely fit, and cannot be completely fit. The geological parameters of all places are not identical, so that the working procedures of construction are not identical, and the curve track of dynamic fluctuation of the bottom of the sedimentation tank is not identical. This is also why the fitting algorithm for the deformation curve of various settling tanks can be applied only to geological construction of a certain province and a certain city, and dynamic deformation analysis of the settling tank bottom of tunnel construction of each geological state throughout the country cannot be realized.
The invention provides a deformation analysis system and a deformation analysis method based on dynamic fluctuation of a sedimentation tank bottom, and also relates to a monitoring system and an early warning system based on the dynamic fluctuation of the sedimentation tank bottom.
A deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank, as shown in fig. 1, at least comprises a monitoring module 10, a first processing module 21 and a second processing module 22. The monitoring module 10, the first processing module 21 and the second processing module 22 establish a data connection with each other. The first processing module 21 and the second processing module 22 also establish a connection with at least one terminal 30 to display the first association curve and/or the second association curve, respectively.
The first processing module 21 and the second processing module 22 may be one or several of a processor, a server, a cloud server, and an application specific integrated chip.
The terminal 30 may be one or more of a computer, a display, a portable mobile terminal, and a smart device. The portable mobile terminal is, for example, one or more of a portable computer, a smart watch, smart glasses, a smart bracelet, and a tablet personal computer.
The monitoring module 10 is used to collect sedimentation parameters of the geology of the construction section and the associated time parameters. The monitoring module 10 comprises several sensing units. The sensing units are distributed in the construction section, and parameters such as the width of the sedimentation tank, the depth of the sedimentation tank bottom, the horizontal displacement of the sedimentation tank bottom and the like of the construction section are collected.
Preferably, the monitoring module 10 includes at least a surface monitoring module and an in-ground monitoring module. The earth surface monitoring module is arranged on the geological surface of the construction section and is used for monitoring the subsidence parameters of the earth surface. The in-ground monitoring module is arranged at the geological middle layer of the construction section and is used for monitoring sedimentation parameters of the geological middle layer. The sedimentation parameters in the invention comprise longitudinal sedimentation parameters, horizontal sedimentation parameters and three-dimensional sedimentation parameters of the construction direction. Namely, the sedimentation parameter in the invention is the sedimentation parameter of the three-dimensional space.
The preset sedimentation depth of the invention is the preset sedimentation depth. Wherein the time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event. The time taken for each settling of the settling tank to a preset settling depth is the sampling time period. When the settling velocity of the settling tank changes, the sampling time period corresponding to the occurrence of a preset settling time changes. The ratio of the sampling time period to the preset sedimentation depth is the curve slope of the correlation curve of the preset sedimentation depth and time. The larger the slope of the curve is, the longer the sampling time period corresponding to the preset sedimentation time of the sedimentation tank is, the sedimentation speed of the sedimentation tank is low, and the construction safety degree is high. On the contrary, the smaller the slope of the curve is, the shorter the sampling time period corresponding to the preset sedimentation time of the sedimentation tank is, the sedimentation speed of the sedimentation tank is high, the construction safety degree is low, and the danger degree is high.
Preferably, the preset sedimentation depth for sampling is set in such a manner that the sampling time period is shortened as the depth becomes larger. The larger the sedimentation depth value of the sedimentation tank is, the smaller the preset sedimentation depth value is, so that the sampling time period is shortened. The greater the depth of the settler, the higher the probability of an accident. Shortening the sampling time period is beneficial to improving the time density of the monitoring sedimentation tank, so that the sedimentation abnormality of the sedimentation tank can be found in time.
The invention detects the speed change of the sedimentation tank by monitoring the change of the sampling time period, and analyzes whether the sedimentation of the sedimentation tank is abnormal by monitoring the slope change of the correlation curve. Under the condition of abnormal sedimentation, sampling time change of preset sedimentation depth occurs, and the slope of the curve is abnormal. Therefore, the preset sedimentation depth is timely adjusted through the abnormal slope of the curve, so that the slope change of the associated curve is further monitored, the sedimentation depth of the sedimentation tank is timely determined, and early warning is generated.
The first processing module 21 establishes a first correlation curve of a preset sedimentation depth with time based on sedimentation sample information and sends the first correlation curve to the second processing module 22.
The first processing module 21 is used for predicting the dynamic fluctuation track of the sedimentation tank bottom according to the sedimentation tank bottom dynamic fluctuation model and extracting a first correlation curve according to sedimentation sample data of the sedimentation tank. The dynamic fluctuation model of the sedimentation tank bottom predicts the dynamic fluctuation track of the sedimentation tank bottom based on six factors of construction sequence, connection procedure time length, three-dimensional space parameter length, width, height and time, and obtains time corresponding to unit sedimentation displacement to form a first correlation curve of preset sedimentation depth and time.
In the invention, since the sedimentation speed of the sedimentation tank is related to the construction sequence, the duration of the connection procedure and the three-dimensional space parameter, the slope of the curve formed by the ratio of the sampling time period to the preset sedimentation depth is also related to the construction sequence, the duration of the connection procedure, the length, the width, the height and the time of the three-dimensional space parameter.
As shown in fig. 2, the PBA construction method performs asymmetric excavation through eight small pilot tunnels, and the construction sequences are different in the construction process, so that the sedimentation tracks of the sedimentation tanks are also different. Sedimentation mainly occurs in pilot tunnel excavation and arch buckling construction stages. The accumulated settlement of the earth surface at the two stages is 55% and 80% of the total settlement, and the method is a key process for controlling the earth surface settlement. Therefore, in the process of excavation, it is important to predict whether the sedimentation of the sedimentation tank in the subsequent excavation process is abnormal according to the current sedimentation depth in time through the abnormality of the slope of the curve and the slope sample of the curve. When the abnormal settlement of the settling tank in the subsequent excavation process is predicted, the current construction sequence is timely adjusted to adjust the settlement speed, and the slope of the curve is changed, so that the predicted association curve can be normal, and engineering safety accidents are avoided.
In the case where the construction sequence, the joining process time length, and the three-dimensional space parameters are known, the slope of the curve should be similar, so that the sedimentation rate of the subsequent sedimentation tank can be predicted.
Preferably, the first processing module 21 is able to extract dynamic wave trace data of the bottom of the settler from the connected storage modules.
Preferably, the first processing module 21 correlates and stores the geological parameter, the preset sedimentation depth, the sampling time period, the construction category, the construction time period, the process engagement time period, and the spatial parameter of the sedimentation tank in a correlated manner corresponding to each other. The first processing module establishes an association relation between the geological parameter and the first association curve, and is beneficial to extracting a first association curve sample based on the geological parameter.
For example, the first processing module 21 extracts corresponding sink bottom dynamic fluctuation trace information based on the input geological parameters, sink parameters, and construction order information, and extracts a first correlation curve corresponding to a preset sink depth based on the sink bottom dynamic fluctuation trace information. In the case of identical or similar geological parameters, the sedimentation velocity of the sedimentation tank is similar. The first association curve is acquired based on the geological parameters, so that a data sample similar to the second association curve of the current construction can be obtained, and the change of the second association curve of the sedimentation tank can be predicted based on the change of the slope of the curve.
In the present invention, the second processing module 22 establishes a second correlation curve of the preset sedimentation depth in real time and time based on the sedimentation information related to time acquired by the monitoring module 10. So set up, under the condition that preset sedimentation depth is known, the monitoring module only needs to send the time information that takes place preset sedimentation depth to second processing module to reduce the data transmission volume between monitoring module and the second processing module, reduced the delay degree of data.
In the case that the second correlation curve is different from the first correlation curve, the second processing module 22 updates the second correlation curve in a manner of updating the preset sedimentation depth and judges the abnormal condition of the dynamic state of the sedimentation tank bottom.
Specifically, as shown in fig. 4, the first processing module extracts time data per time of sedimentation depth of the sedimentation tank a from the sedimentation sample data according to the received information of the preset sedimentation depth of a in millimeters. The time interval between two time data is the sampling time period. A first correlation curve a is formed from the correlation of time data and a preset sedimentation depth.
As shown in fig. 5, the preset sedimentation depth is a in millimeters. The monitoring module 10 transmits time data for each settling depth of the settling tank a. The time interval between two time data is the sampling time period. A second correlation curve B is formed from the correlation of the time data and the preset sedimentation depth.
And under the condition that the preset sedimentation depths are the same, comparing the first correlation curve A with the second correlation curve B, and particularly comparing the differences of slopes of the curves. When there is a difference in the slope of the curves, it is necessary to further determine whether the second association curve B has a safety risk.
Preferably, in the case that the second correlation curve is different from the first correlation curve, the second processing module 22 shortens the sampling time period in such a way as to reduce the preset sedimentation depth; wherein, the time of the preset sedimentation depth is the sampling time period.
Specifically, the second processing module 22 decreases the preset sedimentation depth value to shorten the sampling time period, so that the curve slope change of the second correlation curve B is more obvious. Meanwhile, the first processing module updates the first association curve A according to the new preset sedimentation depth, so that the first association curve A and the second association curve B can be compared with each other in a more visual curve slope change mode, and the difference between the first association curve A and the second association curve B is more obvious.
If it is judged whether the sedimentation of the sedimentation tank is abnormal or not only according to the current difference, the result deviation is likely to occur, and the sedimentation process is normal possibly in the process of the sedimentation tank having the preset sedimentation depth, and a plurality of sedimentation errors lead to the overall error of the slope of the current curve. Therefore, when the slope of the curve is found to be abnormal, the change of the slope of the curve is further microscopized, so that the difference between the real-time sedimentation of the sedimentation tank and the sedimentation sample can be embodied, and the current construction sequence and the construction procedure connection time can be adjusted by constructors.
In the invention, the number of times of updating the preset sedimentation depth is not limited to one time, and can be two or more times, so that the second association curve B forms an approximately smooth curve, whether the slope difference between the second association curve B and the first association curve A exceeds a difference threshold value or not is facilitated to display, and early warning information is sent timely.
For example, the slope of the second correlation curve differs from the slope of the first correlation curve by-0.35, and the difference threshold is-0.2. Obviously, the slope of the second correlation curve is abnormal, namely the sedimentation speed of the sedimentation tank is increased, the sampling time period is shortened, and the slope of the curve is reduced. At this time, the second processing module needs to further reduce the preset sedimentation depth to increase the data acquisition density of the sedimentation tank while sending the early warning information to at least one terminal. And the second processing module can increase the level of the early warning information and send the early warning information to at least one terminal 30 if the slope of the second association curve is still abnormal until the preset sedimentation depth is adjusted to the minimum sedimentation depth value.
Preferably, in response to the preset settlement depth update information and/or the construction process update information transmitted from the second processing module 22, the first processing module 21 updates the sampling time period corresponding to the preset settlement depth so as to synchronously update the first correlation curve information.
Specifically, when the setting sedimentation depth or the construction process information of the second association curve is updated, the second processing module sends the updated information to the first processing module. The first processing module receives the updated information, and adjusts the first association curve according to the updated information, so that the preset depth information or the construction process sequence of the two association curves and the construction process connection time are consistent or approximate. When the second association curve is compared with the first association curve, the difference between the second association curve and the first association curve can be better displayed by the preset sedimentation depth, so that constructors can find abnormity in time, and the construction condition can be adjusted.
Preferably, the second processing module 22 compares the periodic variation difference value of the settling tank in the same construction process with the second correlation curve, and sends out early warning information when the periodic variation difference value is greater than the periodic variation threshold value.
The rate of change of a sampling time period is the rate of change of the next sampling time period compared to the previous sampling time period. Although the second processing module monitors the change of the curve slope of the second association curve in real time, the real-time data is compared with the sample data, so that only the difference between the current construction process and the sample engineering can be obtained, and the condition of the change of the current construction engineering cannot be obtained. Therefore, the second processing module of the invention simultaneously monitors the sampling period change rate in real time, and when the sampling period change rate exceeds a preset change rate threshold value, the second processing module compares the periodic change difference value of the settling tank of the same construction process of the second association curve and the first association curve no matter whether the slope of the curve is abnormal or not. For example, at a certain stage of the construction process, the sampling time period of 0.1mm for the first correlation curve settlement is six days, the sampling time period of 0.1mm for the second correlation curve settlement is three days, the period change difference value is three days, and the period change difference value is greater than the period difference threshold value by two days. And the constructor evaluates the period difference and the current sedimentation depth according to the early warning information received by the terminal, and determines the safety degree of the current construction process.
The invention monitors not only the difference between the slope of the curve and the sample data, but also the variation difference and specific difference value of the correlation curve, thereby avoiding the defect of larger specific depth value difference caused by monitoring the slope of the curve only.
Preferably, the second processing module 22 adjusts the predicted portion of the second correlation curve based on the sampling time period rate of change of the first correlation curve. The second correlation curve not only displays the sampling time period of the current real-time sedimentation tank, but also continues according to the curve slope change of the first correlation curve, so as to form the second correlation curve with predicted content. The setting is favorable to observing whether the current sedimentation tank subsides change exists the safety risk to subsequent construction technology.
And sending out early warning information when the periodic variation difference value is larger than the periodic variation threshold value at the periodic variation difference value of the predicted part of the second association curve and the corresponding part of the first association curve. When the predicted part of the second association curve has safety risk, constructors can conduct preventive construction and adjustment of construction technology in advance, and the safety risk formed by the fact that the current sedimentation tank is continuously changed according to the first association curve is avoided.
Preferably, when a difference occurs between the second correlation curve and the first correlation curve, the second processing module performs one-time reduction and updating of the preset sedimentation depth, compares the updated first correlation curve with the second correlation curve, and when an nth difference occurs between the second correlation curve and the first correlation curve, if a period change difference value corresponding to the current preset sedimentation depth is greater than a period difference threshold, the second processing module sends early warning information to at least one terminal. Where N is a positive integer.
When the second processing module adjusts the preset sedimentation depth for a plurality of times based on the slope difference of the curves, the second association curve is more and more similar to a smooth curve, and the change of the sedimentation depth of the sedimentation tank along with time can be reflected.
The invention starts to increase the data acquisition amount and the acquisition time density based on the abnormality of the curve slope, can increase the acquisition of effective data and improve the effective rate of data acquisition.
After the construction process is finished, the second processing module stores information such as time, sedimentation depth, geological parameters, construction procedures, construction procedure connection time, three-dimensional space parameters of the sedimentation tank and the like related to the second association curve into a storage module connected with the first processing module, so that new sample data are formed.
Preferably, the first processing module fits the at least two correlation curves to form a reference correlation curve relating the reference preset sedimentation depth to time in case the geological parameters are approximate and the at least two correlation curves are similar.
When the process connection time length of the current construction process is adjusted, the first processing module can respond to the update information of the process connection time length, and select sample data with the closest process connection time length from sample data forming a reference correlation curve to update the reference correlation curve. Thus, the second correlation curve being constructed at present can be used for predicting the change of the sampling time period of the subsequent settling tank according to the curve slope of the effective reference correlation curve.
It should be noted that the above-described embodiments are exemplary, and that a person skilled in the art, in light of the present disclosure, may devise various solutions that fall within the scope of the present disclosure and fall within the scope of the present disclosure. It should be understood by those skilled in the art that the present description and drawings are illustrative and not limiting to the claims. The scope of the invention is defined by the claims and their equivalents. The description of the invention encompasses multiple inventive concepts, such as "preferably," "according to a preferred embodiment," or "optionally," all means that the corresponding paragraph discloses a separate concept, and that the applicant reserves the right to filed a divisional application according to each inventive concept.
Claims (9)
1. A deformation analysis system based on dynamic fluctuation of a sedimentation tank bottom, which at least comprises a monitoring module (10), a first processing module (21) and a second processing module (22), and is characterized in that,
The first processing module (21) extracts corresponding dynamic fluctuation track information of the sedimentation tank bottom based on the input geological parameters, sedimentation tank parameters and construction sequence information, and extracts a first association curve corresponding to a preset sedimentation depth based on the dynamic fluctuation track information of the sedimentation tank bottom,
The first processing module (21) establishes a first correlation curve of preset sedimentation depth and time based on sedimentation sample information and sends the first correlation curve to the second processing module (22),
The second processing module (22) establishes a second correlation curve of the real-time preset sedimentation depth and time based on the sedimentation information which is collected by the monitoring module (10) and is related to time, and
In case of a difference between the second correlation curve and the first correlation curve, the second processing module (22) updates the second correlation curve in a manner of updating the preset sedimentation depth and judges an abnormal situation of the dynamics of the sedimentation tank bottom;
Wherein the time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event.
2. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
The preset sedimentation depth for sampling is set in such a manner that the sampling time period is shortened as the depth becomes larger.
3. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
-In case of a difference between the second correlation curve and the first correlation curve, the second processing module (22) shortens the sampling time period in such a way that the preset sedimentation depth is reduced;
wherein, the time of the preset sedimentation depth is the sampling time period.
4. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
And the first processing module (21) is used for updating the sampling time period corresponding to the preset sedimentation depth so as to synchronously update the first association curve information in response to the preset sedimentation depth updating information and/or the construction process updating information sent by the second processing module (22).
5. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
The second processing module (22) compares the periodic variation difference value of the sedimentation tank of the same construction process by the second association curve and the first association curve based on the real-time sampling time period change rate, and sends out early warning information when the periodic variation difference value is larger than a periodic variation threshold value.
6. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
The second processing module (22) adjusts a predicted portion of the second correlation curve based on a sampling time period rate of change of the first correlation curve,
And sending out early warning information when the periodic variation difference value is larger than a periodic variation threshold value at the periodic variation difference value of the predicted part of the second association curve and the corresponding part of the first association curve.
7. The deformation analysis system based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 1, wherein,
When a difference occurs between the second correlation curve and the first correlation curve, the second processing module (22) performs a reduction and updating of a preset sedimentation depth, compares the updated first correlation curve with the second correlation curve,
When the second correlation curve is different from the first correlation curve for the nth time, if the periodic variation difference value corresponding to the current preset sedimentation depth is larger than the periodic variation threshold value, the second processing module (22) sends early warning information to at least one terminal.
8. A deformation analysis method based on dynamic fluctuation of a sedimentation tank bottom, which is characterized by at least comprising:
Extracting corresponding dynamic fluctuation track information of the sedimentation tank bottom based on input geological parameters, sedimentation tank parameters and construction sequence information, extracting a first association curve corresponding to preset sedimentation depth based on the dynamic fluctuation track information of the sedimentation tank bottom,
A first correlation curve of preset sedimentation depth and time is established based on sedimentation sample information,
Establishing a second correlation curve of the real-time preset sedimentation depth and time based on the acquired sedimentation information related to time, and
Under the condition that the second correlation curve is different from the first correlation curve, updating the second correlation curve in a mode of updating the preset sedimentation depth and judging the dynamic abnormal condition of the sedimentation tank bottom;
Wherein the time-dependent sedimentation information is recorded with a preset sedimentation depth of the sedimentation tank as a driving event.
9. The deformation analysis method based on dynamic fluctuation of the bottom of a sedimentation tank according to claim 8, further comprising:
The preset sedimentation depth for sampling is set in such a manner that the sampling time period is shortened as the depth becomes larger.
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