CN-122020800-A - Event-triggered roadway deformation reinforcing method and system

CN122020800ACN 122020800 ACN122020800 ACN 122020800ACN-122020800-A

Abstract

The invention discloses an event triggering type roadway deformation reinforcing method, which comprises the steps of adopting point type monitoring in a first sampling period in a normal mode, preprocessing monitoring data, judging whether the monitoring data meet a pre-established mode switching triggering criterion condition, if so, switching from the normal mode to an event mode, enabling three-dimensional point cloud monitoring while adopting point type monitoring in the event mode, switching the sampling period to a second sampling period smaller than the first sampling period, judging a preliminary risk level according to a point type monitoring result in the event mode, carrying out risk check and correction according to the three-dimensional point cloud monitoring result to obtain a final risk level judging result, and acquiring a support parameter recommendation combination matched with the risk level based on a pre-established reinforcing gear mapping rule base. The invention executes low-frequency acquisition and abstract uploading in a stationary period, and only improves scanning/uploading/calculating intensity when an event is triggered, thereby obviously reducing bandwidth, calculation power and storage expenditure.

Inventors

MA SHUQI
GAO RUIPENG
Zhu Lezhang
Huang beihai
WANG MENG
LIU HONGLIN
CHEN JIAZHENG

Assignees

安徽理工大学

Dates

Publication Date: 20260512
Application Date: 20260206

Claims (10)

1. An event triggered roadway deformation reinforcing method is characterized by comprising the following steps: in a normal mode, point type monitoring is adopted in a first sampling period, and monitoring data are preprocessed; Judging whether the monitoring data meet the pre-established mode switching trigger criterion condition, if so, switching from a normal mode to an event mode, enabling three-dimensional point cloud monitoring while adopting point type monitoring in the event mode, and switching a sampling period to a second sampling period smaller than the first sampling period; in an event mode, carrying out preliminary risk level judgment according to a point type monitoring result, and carrying out risk check and correction by combining a three-dimensional point cloud monitoring result to obtain a final risk level judgment result; Based on a pre-constructed reinforcement gear mapping rule base, acquiring a support parameter recommendation combination matched with the risk level; judging whether the monitoring data meet the pre-established event mode exit criterion condition, if so, exiting the event mode and recovering the normal mode, and recovering the sampling period to be the first sampling period.
2. The method for event triggered roadway deformation reinforcement according to claim 1, wherein the method comprises the steps of using point type monitoring in a first sampling period in a normal mode, and preprocessing the monitored data, and specifically comprises: Monitoring discrete points through a point-type distributed sensor, wherein the sensor comprises at least one of a displacement meter, a convergence meter, a separation layer meter, a stress meter or a strain gauge; And collecting at least one monitoring index including top plate sinking amount, top plate separation layer amount, two-side convergence amount, bottom plate bottom drum amount and support member stress/strain response in a first sampling period, and preprocessing the monitoring data including abnormal value elimination, missing complement and time alignment.
3. The event triggered roadway deformation reinforcing method of claim 1, wherein determining whether the monitored data satisfies a pre-established mode switching trigger criterion comprises: Selecting a monitoring index as an index basis of a trigger criterion, and calculating characteristic values of the corresponding monitoring index, wherein the characteristic values comprise a change speed, a change acceleration and an average change speed ratio of a short window to a long window, and the short window and the long window are sliding time windows or statistical time scales for calculating deformation characteristics; setting a Trigger threshold of a corresponding monitoring index characteristic value, and if any characteristic value exceeds the corresponding Trigger threshold, establishing a Trigger condition of a Trigger logic function Trigger (t); in order to inhibit false triggering caused by noise or single abnormality, introducing a triggering persistence criterion, namely switching from a normal mode to an event mode when a triggering condition of a triggering logic function Trigger (t) is met in N continuous samplings; the trigger persistence criteria are expressed as: ≥N where k is the summation index, representing the kth sampling interval of the forward traceback; Representing the accumulation of the index k from 0 to N-1; Representing the time interval adopted by two adjacent calculations, N is the duration, 1{ And the indication function/readiness function is taken as 1 when the condition in brackets is satisfied, otherwise taken as 0.
4. The method for event triggered roadway deformation reinforcement according to claim 1, wherein in the event mode, three-dimensional point cloud monitoring is enabled while point monitoring is adopted, and the sampling period is switched to a second sampling period smaller than the first sampling period, and the method specifically further comprises: And when the link resources are allowed, at least one of the high-frequency sequence data and the point cloud data is supplemented.
5. The event-triggered roadway deformation reinforcement method of claim 1, wherein in the event mode, performing preliminary risk level judgment according to a point-type monitoring result, and performing risk check and correction in combination with a three-dimensional point cloud monitoring result to obtain a final risk level judgment result, specifically comprising: Risk level At least comprises three gears of low, medium and high, and the judgment rule is expressed by using a segmentation threshold form: Wherein L (t) =0, 1,2 corresponds to low risk, medium risk, high risk, respectively; 、 g (t) is a risk judging index, and at least one of characteristic values of point type monitoring indexes is adopted, or a combination of the characteristic values is adopted to form a comprehensive judging index; And when the point cloud space characteristics indicate that the local abnormal aggravation, the obvious asymmetric deformation or the rapid convergence of the section exists, the risk level is up-shifted by one grade or the high risk level is maintained unchanged.
6. The event-triggered roadway deformation reinforcing method of claim 1, wherein the acquiring of the recommended combination of support parameters matched with the risk level based on the pre-constructed reinforcing gear mapping rule base specifically comprises: Wherein phi is% ) A rule base is mapped for strengthening gears; Y (t) is a recommended combination of support parameters, comprising the row spacing s between anchor rods and anchor cables, the thickness x of sprayed concrete, the parameters p of a U-shaped steel bracket or shed frame, the pretightening force of the anchor cables, grouting parameters and temporary support parameters; The reinforced gear mapping rule base phi ) And mapping the risk level L (t) into a support parameter recommendation combination Y (t) which can be directly executed for a pre-established corresponding relation set of the risk level and the support parameter.
7. The event triggered roadway deformation reinforcing method as claimed in claim 6, wherein the reinforcing gear mapping rule base Φ # ) The construction of (2) comprises: Constraint collection, namely collecting existing design parameters of mines, related industry specification/standard requirements, existing supporting and reinforcing cases of similar roadways and site executable constraints; Constructing a plurality of discrete reinforcement gear entries by taking the risk level as a main index, wherein each entry at least comprises a corresponding support parameter recommendation combination; and (3) checking and solidifying, namely performing safety check and constructability check on the candidate gear items, and solidifying the checked candidate gear items into a gear library which can be directly checked and output.
8. The event triggered roadway deformation reinforcing method of claim 3, wherein determining whether the monitored data satisfies a pre-established event mode exit criterion comprises: Setting an Exit threshold of the corresponding monitoring index characteristic value, and if all the characteristic values are lower than the corresponding Exit threshold, establishing an Exit condition of an Exit logic function Exit (t), wherein the Exit threshold is set to be lower than a certain proportion of a trigger threshold to form a hysteresis interval, so that frequent jump is avoided; In order to inhibit false Exit caused by noise or single abnormality, an Exit persistence criterion is introduced, namely, when the number of times of Exit (t) establishment in the last M times of sampling is not less than M, an event mode is exited and the normal mode is restored; the exit persistence criteria are expressed as follows: Wherein the method comprises the steps of Represents the addition of k=0 to k=m-1, 1{ The exponential/oscillometric function is taken 1 when the condition in brackets is satisfied, otherwise 0, exit (t) =1 indicates that the exit condition is satisfied at the t-th sampling; Representing the time interval taken for two adjacent calculations.
9. The event triggered roadway deformation reinforcing method of claim 3, wherein determining whether the monitored data satisfies a pre-established mode switching trigger criterion comprises: when the sinking amount of the top plate is selected as the index basis of the trigger criterion: Defining a Trigger logic function Trigger (t): Wherein, the In order to increase the speed of sedimentation, For a trigger threshold for a settling acceleration, For the acceleration of the sedimentation, the sedimentation velocity, In order to increase the trigger threshold of the rate of change, For the speed increasing ratio of the short window to the long window of the time window, Trigger threshold value for speed increasing ratio of short window to long window " "Means logical OR", i.e. any condition is satisfied Judging that the triggering condition is satisfied when When the trigger condition is not satisfied; sedimentation acceleration rate : Acceleration rate : Wherein S (T) is the roof subsidence amount, T is the calculated time interval, i.e. T=T 1 in normal mode, T=T 2 in event mode, and T 2 <T 1 , S (T) T) is time T Top plate sinking amount of T; Speed increasing ratio of short window and long window of time window : Wherein S (t) is the sinking amount of the top plate, For a short window length, Is long in window length, and The average speed-up of the short window and the average speed-up of the long window are respectively And 。
10. The method for event triggered roadway deformation reinforcement of claim 9, wherein determining whether the monitored data satisfies a pre-established event pattern exit criteria comprises: when the sinking amount of the top plate is selected as the index basis of the trigger criterion: The Exit logic function Exit (t) is defined as follows: Wherein, the In order to increase the speed of sedimentation, For the exit threshold of the sedimentation acceleration rate, For the acceleration of the sedimentation, the sedimentation velocity, Is the exit threshold for sedimentation acceleration.

Description

Event-triggered roadway deformation reinforcing method and system Technical Field The invention relates to the technical field of roadway deformation reinforcement, in particular to an event triggering type roadway deformation reinforcement method and system. Background In the mining influence roadway, on-site monitoring results show that surrounding rock deformation has a staged characteristic that the surrounding rock deformation is in a severe deformation stage within 0-30 days, the surrounding rock deformation is in a deformation slowing stage within 30-50 days, the surrounding rock deformation tends to be stable after 50 days, the sinking amount of a top plate can reach about 139.0-161.8 mm under specific working conditions, the approaching amount of two sides is about 170.3-193.4 mm, and the bottom bulging amount is about 94.0-111.2 mm. The numerical value is a deformation magnitude example common in typical mining influence roadway on-site monitoring, and is used for explaining the deformation amplitude and evolution stage characteristics of the large-deformation roadway. On the other hand, support parameter optimization is not "the larger the better. Studies have pointed out that extreme value phenomenon exists on the displacement of the top plate of the anchor rod construction angle, marginal decrease exists on the improvement of the sinking of the top plate of the anchor rod and the anchor cable length and the pretightening force, and reasonable parameter ranges are selected and optimized in combination with economy. Further, the deep well strong mining soft rock roadway monitoring shows that the accumulated convergence of two sides can reach about 1100mm, the accumulated sinking of a top plate can reach about 230mm, the accumulated lifting of a bottom plate can reach about 1175mm, deformation influence factors comprise large burial depth, loose surrounding rock, influence of secondary mining, unreasonable supporting scheme and the like, and the deep high stress soft rock roadway research also shows that the large burial depth has low strength with the surrounding rock, and the original supporting scheme is not matched with working conditions, so that the stability of the surrounding rock is obviously reduced. The prior art is mainly summarized in two types: 1) Based on a full-section deformation monitoring scheme of forming point cloud by three-dimensional laser scanning, the technology always needs to perform whole-process or high-frequency scanning and perform point cloud registration, section extraction and deformation inversion, the data size is large, the calculation and storage cost and the bandwidth cost are high, noise points are easy to appear in scanning due to underground dust shielding, and the method is easy to cause high equipment arrangement and maintenance cost. 2) Based on the fixed frequency acquisition scheme of point type monitoring such as cross point arrangement, displacement meter or convergence meter, acquisition and transmission cost is low but space coverage is limited, local asymmetric deformation and acceleration mutation are difficult to capture, and early warning lag is easily caused by a fixed sampling period. In view of the foregoing, there is a need for a technical solution that can operate in a low-resource mode during a stationary period, and that can perform event-triggered up-sampling, uploading and calculating when a roof is settled into an acceleration or overrun risk, and that can selectively enable or increase the frequency of full-section scanning to obtain high-precision deformation information, and simultaneously map the monitoring result directly into an executable support reinforcement parameter gear. Disclosure of Invention The invention provides an event triggering type roadway deformation reinforcing method and system, which are used for solving the problems in the prior art. According to a first aspect, in one embodiment, there is provided an event triggered roadway deformation reinforcing method, the method comprising: in a normal mode, point type monitoring is adopted in a first sampling period, and monitoring data are preprocessed; Judging whether the monitoring data meet the pre-established mode switching trigger criterion condition, if so, switching from a normal mode to an event mode, enabling three-dimensional point cloud monitoring while adopting point type monitoring in the event mode, and switching a sampling period to a second sampling period smaller than the first sampling period; in an event mode, carrying out preliminary risk level judgment according to a point type monitoring result, and carrying out risk check and correction by combining a three-dimensional point cloud monitoring result to obtain a final risk level judgment result; Based on a pre-constructed reinforcement gear mapping rule base, acquiring a support parameter recommendation combination matched with the risk level; judging whether the monitoring data meet the pre-est