CN107893664A - A kind of double-shielded TBM shield body card machine Forecasting Methodology and system - Google Patents
A kind of double-shielded TBM shield body card machine Forecasting Methodology and system Download PDFInfo
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- CN107893664A CN107893664A CN201711104872.2A CN201711104872A CN107893664A CN 107893664 A CN107893664 A CN 107893664A CN 201711104872 A CN201711104872 A CN 201711104872A CN 107893664 A CN107893664 A CN 107893664A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/06—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining
- E21D9/08—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining with additional boring or cutting means other than the conventional cutting edge of the shield
- E21D9/0875—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining with additional boring or cutting means other than the conventional cutting edge of the shield with a movable support arm carrying cutting tools for attacking the front face, e.g. a bucket
- E21D9/0879—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining with additional boring or cutting means other than the conventional cutting edge of the shield with a movable support arm carrying cutting tools for attacking the front face, e.g. a bucket the shield being provided with devices for lining the tunnel, e.g. shuttering
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- Engineering & Computer Science (AREA)
- Mining & Mineral Resources (AREA)
- Environmental & Geological Engineering (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Geology (AREA)
- Alarm Systems (AREA)
- Earth Drilling (AREA)
Abstract
The present invention proposes a kind of double-shielded TBM shield body card machine Forecasting Methodology and system, method and step are as follows：Boring parameter is obtained by live TBM host computers in real time；Before choosing current timenThe hilted broadsword thrust and fltting speed of individual boring parameter；It is right respectively using moving average windownIndividual hilted broadsword thrust and fltting speed ask for moving average；Real-time characteristic index is asked for using hyperbolic tangent function, accumulates characteristic index by accumulating each ring of read group total；By accumulation characteristic index compared with the alarm warning value to prestore, if accumulation characteristic index is more than alarm warning value, sends this information to TBM host computers and alarmed；Early warning system includes：Data capture unit, model computing unit, early warning display unit and card machine alarm module.The present invention asks for card machine index by using boring parameter, it is possible to achieve the Realtime Alerts of double-shielded TBM card machine prediction, avoids generation card machine accident from bringing huge manpower, financial resources, material damage.
Description
Technical field
The present invention relates to the technical field of tunnel piercing equipment construction, more particularly to a kind of double-shielded TBM shield body card machine are pre-
Survey method and system.
Background technology
Card machine problem of the double-shielded TBM on weak surrounding rock and crushed zone stratum is to restrict the pass of double-shielded TBM efficiency of construction
Key factor.Once generation card machine, the loss of huge time, goods and materials cost can be caused.Such as certain diversion project double-shielded TBM once
Card machine causes the equipment downtime of nearly two weeks, brings huge loss.After current research rests on generation card machine more, how to be taken off
It is tired, but the work sutdy to how to carry out card machine early warning is less, does not there is correlation technique or theoretical appearance also at present.If it can carry
Before send the generation that early warning avoids card machine, relative to produce card machine after devote a tremendous amount of time, goods and materials cost is got rid of poverty, to applying
Realistic meaning is had more for work.
The content of the invention
For double-shielded TBM in the frequent card machine of weak surrounding rock and crushed zone stratum, can cause huge time and goods and materials into
The technical problem of this loss, the present invention proposes a kind of double-shielded TBM shield body card machine Forecasting Methodology and system, based on to double shields
The excavation of TBM boring parameter historical datas, the mathematical modeling of card machine early warning is established, be by the alarm exponent pair asked in real time
No card machine is predicted, and when index of alarming is more than secure setting, is sent warning reminding site operation personnel and is taken reply to arrange
Apply, avoid card machine, it is possible to achieve the Realtime Alerts of double-shielded TBM card machine prediction are a kind of for constructing tunnel building security, height
The Means of Ensuring of effect.
In order to achieve the above object, the technical proposal of the invention is realized in this way：A kind of double-shielded TBM shield body card machine is pre-
Survey method, its step are as follows：
Step 1：Boring parameter is obtained by live TBM host computers in real time, boring parameter includes hilted broadsword thrust and promotes speed
Degree；
Step 2：Choose the preceding n boring parameter at current time, hilted broadsword thrust F1, F2..., Fn, fltting speed V1,
V2..., Vn, wherein, FnFor the hilted broadsword thrust of current time value, VnFor the fltting speed of current time value；
Step 3：Using moving average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V=
[V1, V2..., Vn] moving average is asked for, obtain boring parameter array F '=[F after moving average1’,F2’…Fn'] and V '=
[V1’,V2’…Vn’]；
Step 4：Real-time characteristic index M is asked for using hyperbolic tangent function, is accumulated by accumulating each ring of read group total
Characteristic index N；
Step 5：The alarm warning value N that characteristic index N will be accumulated and prestoredAIt is compared, if accumulation characteristic index N is big
In alarm warning value NA, send this information to TBM host computers and alarmed.
The moving average is left moving average, central slide is average or right moving average.
When sliding window size is a, the operation method that the central slide of hilted broadsword thrust is average is：
F1'=F1；
F2'=(F1+F2+F3)/a；
F3'=(F2’+F3+F4)/a；
…
Fn-1'=(Fn-2’+Fn-1+Fn)/a；
Fn'=Fn。
The real-time characteristic index M and accumulation characteristic index N acquiring method are：
Ask for current boring parameter hilted broadsword thrust F and driving speed V increment variation tendency x：
Real-time characteristic index is：
Current time k accumulation characteristic index is：
Wherein, w1 and w2 is respectively the weighted value of thrust variation trend and fltting speed variation tendency, weighted value w1 and w2
It is relevant with the attribute of performance of equipment；MiRepresent the real-time characteristic index that this circulation starts rear i-th of moment and asked for；K is represented now
Carve at k-th point positioned at P. drechsleri；The 1-k real-time characteristic index M that current time k accumulation characteristic index N circulates for this
Accumulation summation.
The alarm warning value N to prestoreAFor：NA=S*Na, wherein, S is TBM safety coefficient, and Na follows for normal driving
The accumulation characteristic index average value that ring segment data are asked for.
The TBM host computers are provided with double-shielded TBM card machine early warning system, and double-shielded TBM card machine early warning system includes：
Data capture unit, by obtaining current boring parameter in real time with upper machine communication, current boring parameter includes single
Knife thrust and driving speed value；
Model computing unit, accumulation characteristic index, i.e. card machine report are asked for according to boring parameter using hyperbolic tangent function
Alert index；
Early warning display unit, by current accumulation characteristic index N real-time displays in the operation interface of host computer；
Card machine alarm module, if current accumulation characteristic index N is more than the alarm warning value N that prestores of settingA, then report is sent
It is alert, remind main driver to select suitable boring parameter and carry out card machine prevention counter-measure in advance.
Beneficial effects of the present invention are based on causing calamity mechanism and boring parameter to carry out comprehensive analysis card machine, establish a kind of base
In the method for early warning of the forecast analysis of mathematical modeling, and system function module can be encapsulated as and be embedded into live TBM host computers, used
In the early warning to the current card machine risk of equipment.Whether the present invention can occur card machine to equipment is predicted, and reminds execute-in-place
Personnel are taken measures to prevent card machine in time, and huge manpower, financial resources, goods and materials damage are brought so as to avoid occurring card machine accident
Lose；By asking for card machine index, real-time early warning is realized, avoids that card machine accident occurs, it is possible to achieve the prediction of double-shielded TBM card machine
Realtime Alerts are a kind of for constructing tunnel building security, efficient Means of Ensuring.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the flow chart of the present invention.
Fig. 2 is the theory diagram of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not paid
Embodiment, belong to the scope of protection of the invention.
As shown in figure 1, a kind of double-shielded TBM shield body card machine Forecasting Methodology, its step are as follows：
Step 1：Boring parameter is obtained by live TBM host computers in real time, boring parameter includes hilted broadsword thrust and promotes speed
Degree.
Step 2：Choose the preceding n boring parameter at current time, hilted broadsword thrust F1, F2..., Fn, fltting speed V1,
V2..., Vn, wherein, FnFor the hilted broadsword thrust of current time value, VnFor the fltting speed of current time value.
The boring parameter needed to use on TBM host computers is hilted broadsword thrust F and driving speed V.The preceding n pick at current time
Enter parameter, be defaulted as 10, longer or shorter time span can also be chosen, for reflecting that the change of current boring parameter becomes
Gesture.
Step 3：Using moving average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V=
[V1, V2..., Vn] moving average is asked for, obtain boring parameter array F '=[F after moving average1’,F2’…Fn'] and V '=
[V1’,V2’…Vn’]。
The moving average is left moving average, central slide is average or right moving average.
When sliding window size is a, the operation method that the central slide of hilted broadsword thrust is average is：
F1'=F1；
F2'=(F1+F2+F3)/a；
F3'=(F2’+F3+F4)/a；
…
Fn-1'=(Fn-2’+Fn-1+Fn)/a；
Fn'=Fn。
The window value of moving average can be adjusted by setting, and be defaulted as 3, be averaged with the central slide of hilted broadsword thrust
Exemplified by operation method is asked for, window value 3：
F1'=F1；
F2'=(F1+F2+F3)/3；
F3'=(F2’+F3+F4)/3；
…
F9'=(F8’+F9+F10)/3；
F10'=F10。
Step 4：Real-time characteristic index M is asked for using hyperbolic tangent function, is accumulated by accumulating each ring of read group total
Characteristic index.
Real-time characteristic index M and accumulation characteristic index N acquiring method are：
Ask for current boring parameter hilted broadsword thrust F and driving speed V increment variation tendency x：
Real-time characteristic index is：
Current time k accumulation characteristic index is：
Wherein, w1 and w2 is respectively the weighted value of thrust variation trend and fltting speed variation tendency, weighted value w1 and w2
It is relevant with the attribute of performance of equipment；MiRepresent the real-time characteristic index that this circulation starts rear i-th of moment and asked for；K is represented now
Carve at k-th point positioned at P. drechsleri；The 1-k real-time characteristic index M that current time k accumulation characteristic index N circulates for this
Accumulation summation.
As boring parameter n=10, increment variation tendency x is expressed as：
Weighted value w1 and w2 can be defaulted as 0.5 and 2 respectively, real-time characteristic index can use hyperbolic tangent function or
Person's arctan function.
Step 5：The alarm warning value N that characteristic index N will be accumulated and prestoredAIt is compared, if accumulation characteristic index N is big
In alarm warning value NA, send this information to TBM host computers and alarmed.
The alarm warning value N to prestoreAArranges value with equipment difference and change.The alarm warning value N to prestoreAFor：NA=
S*Na, wherein, S is TBM safety coefficient, and Na is the accumulation characteristic index average value that normal P. drechsleri segment data is asked for.
TBM host computers are provided with double-shielded TBM card machine early warning system, as shown in Fig. 2 double-shielded TBM card machine early warning system
Including：
Data capture unit, by obtaining current boring parameter in real time with upper machine communication, current boring parameter includes single
Knife thrust and driving speed value；
Model computing unit, accumulation characteristic index, i.e. card machine report are asked for according to boring parameter using hyperbolic tangent function
Alert index；
Early warning display unit, by current accumulation characteristic index N real-time displays in the operation interface of host computer；
Card machine alarm module, if current accumulation characteristic index N is more than the alarm warning value N that prestores of settingA, then report is sent
It is alert, remind main driver to select suitable boring parameter and carry out card machine prevention counter-measure in advance.Card machine alarm module can collect
Into on the host computer to scene, monitoring in real time is realized.
The present invention establishes card machine forecast analysis model, whether equipment can be sent out by analyzing card machine data
Raw card machine is predicted, and reminds site operation personnel to take measures to prevent card machine in time, so as to avoid that card machine accident occurs
Bring huge manpower, financial resources, material damage.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements made etc., should be included in the scope of the protection with principle.
Claims (6)
1. a kind of double-shielded TBM shield body card machine Forecasting Methodology, it is characterised in that its step is as follows：
Step 1：Boring parameter is obtained by live TBM host computers in real time, boring parameter includes hilted broadsword thrust and fltting speed；
Step 2：Choose the preceding n boring parameter at current time, hilted broadsword thrust F1, F2..., Fn, fltting speed V1, V2..., Vn,
Wherein, FnFor the hilted broadsword thrust of current time value, VnFor the fltting speed of current time value；
Step 3：Using moving average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V=[V1,
V2..., Vn] moving average is asked for, obtain boring parameter array F '=[F after moving average1’,F2’…Fn'] and V '=[V1’,
V2’…Vn’]；
Step 4：Real-time characteristic index M is asked for using hyperbolic tangent function, accumulates feature by accumulating each ring of read group total
Index N；
Step 5：The alarm warning value N that characteristic index N will be accumulated and prestoredAIt is compared, if accumulation characteristic index N is more than alarm
Warning value NA, send this information to TBM host computers and alarmed.
2. double-shielded TBM shield body card machine Forecasting Methodology according to claim 1, it is characterised in that the moving average is
Left moving average, central slide are averaged or right moving average.
3. double-shielded TBM shield body card machine Forecasting Methodology according to claim 3, it is characterised in that when sliding window size
For a when, the operation method that the central slide of hilted broadsword thrust is average is：
F1'=F1；
F2'=(F1+F2+F3)/a；
F3'=(F2’+F3+F4)/a；
…
Fn-1'=(Fn-2’+Fn-1+Fn)/a；
Fn'=Fn。
4. double-shielded TBM shield body card machine Forecasting Methodology according to claim 1, it is characterised in that the real-time characteristic refers to
Number M and accumulate characteristic index N acquiring method and be：
Ask for current boring parameter hilted broadsword thrust F and driving speed V increment variation tendency x：
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Real-time characteristic index is：
Current time k accumulation characteristic index is：
Wherein, w1 and w2 is respectively the weighted value of thrust variation trend and fltting speed variation tendency, and weighted value w1 and w2 are with setting
Standby attribute of performance is relevant；MiRepresent the real-time characteristic index that this circulation starts rear i-th of moment and asked for；K represents this position at moment
In k-th point of P. drechsleri；The 1-k real-time characteristic index M accumulation that current time k accumulation characteristic index N circulates for this
Summation.
5. double-shielded TBM shield body card machine Forecasting Methodology according to claim 1, it is characterised in that the alarm to prestore
Warning value NAFor：NA=S*Na, wherein, S is TBM safety coefficient, and Na is the accumulation feature that normal P. drechsleri segment data is asked for
Exponential average.
6. double-shielded TBM shield body card machine Forecasting Methodology according to claim 1, it is characterised in that on the TBM host computers
Provided with double-shielded TBM card machine early warning system, double-shielded TBM card machine early warning system includes：
Data capture unit, by obtaining current boring parameter in real time with upper machine communication, current boring parameter pushes away comprising hilted broadsword
Power and driving speed value；
Model computing unit, accumulation characteristic index is asked for according to boring parameter using hyperbolic tangent function, i.e. card machine alarm refers to
Number；
Early warning display unit, by current accumulation characteristic index N real-time displays in the operation interface of host computer；
Card machine alarm module, if current accumulation characteristic index N is more than the alarm warning value N that prestores of settingA, then alarm is sent, is carried
The main driver that wakes up selects suitable boring parameter and carries out card machine prevention counter-measure in advance.
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| CN107893664B CN107893664B (en) | 2019-02-22 |
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ID=61804944
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738825A (en) * | 2019-11-01 | 2020-01-31 | 中铁隧道局集团有限公司 | open TBM broken stratum early warning method and system |
| CN111271069A (en) * | 2020-03-13 | 2020-06-12 | 中交二公局第三工程有限公司 | Tunnel engineering shield machine capable of giving early warning |
| CN111915193A (en) * | 2020-08-04 | 2020-11-10 | 中铁工程装备集团有限公司 | TBM real-time tunneling card machine risk early warning method |
| CN113345128A (en) * | 2021-05-31 | 2021-09-03 | 中铁工程装备集团有限公司 | Tunnel boring machine key component abnormity alarm method and device |
| WO2022121272A1 (en) * | 2020-12-09 | 2022-06-16 | 山东大学 | Real-time jamming prediction method and system suitable for tbm tunneling |
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| CN111915193B (en) * | 2020-08-04 | 2022-11-25 | 中铁工程装备集团有限公司 | TBM real-time tunneling card machine risk early warning method |
| WO2022121272A1 (en) * | 2020-12-09 | 2022-06-16 | 山东大学 | Real-time jamming prediction method and system suitable for tbm tunneling |
| CN113345128A (en) * | 2021-05-31 | 2021-09-03 | 中铁工程装备集团有限公司 | Tunnel boring machine key component abnormity alarm method and device |
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