CN107893664B - A kind of double-shielded TBM shield body card machine prediction technique and system - Google Patents

A kind of double-shielded TBM shield body card machine prediction technique and system Download PDF

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Publication number
CN107893664B
CN107893664B CN201711104872.2A CN201711104872A CN107893664B CN 107893664 B CN107893664 B CN 107893664B CN 201711104872 A CN201711104872 A CN 201711104872A CN 107893664 B CN107893664 B CN 107893664B
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card machine
characteristic index
double
accumulation
tbm
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CN107893664A (en
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荆留杰
李鹏宇
徐受天
杨晨
陈帅
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China Railway Engineering Equipment Group Co Ltd CREG
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China Railway Engineering Equipment Group Co Ltd CREG
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    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21DSHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
    • E21D9/00Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
    • E21D9/06Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining
    • E21D9/08Making 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
    • E21D9/0875Making 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
    • E21D9/0879Making 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 invention proposes a kind of double-shielded TBM shield body card machine prediction technique and system, method and step are as follows: obtaining boring parameter in real time by live TBM host computer;Before choosing current timenThe hilted broadsword thrust and fltting speed of a boring parameter;It is right respectively using sliding average windownA hilted broadsword thrust and fltting speed seek sliding average;Real-time characteristic index is sought using hyperbolic tangent function, characteristic index is accumulated by each ring of accumulation read group total;Accumulation characteristic index is compared with the alarm warning value prestored, if accumulation characteristic index is greater than alarm warning value, TBM host computer is sent this information to and alarms;Early warning system includes: data capture unit, model computing unit, early warning display unit and card machine alarm module.The present invention may be implemented the Realtime Alerts of double-shielded TBM card machine prediction, generation card machine accident avoided to bring huge manpower, financial resources, material damage by seeking card machine index using boring parameter.

Description

A kind of double-shielded TBM shield body card machine prediction technique and system
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 technique
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 construction efficiency Key factor.Once card machine occurs, the loss of huge time, goods and materials cost will cause.As certain diversion project double-shielded TBM is primary Card machine leads to nearly two weeks equipment downtimes, brings huge loss.After current research rests on generation card machine more, how to be taken off It is tired, but it is less to the work sutdy for how carrying out card machine early warning, there are not correlation technique or theoretical appearance also at present.If can mention It is preceding to issue early warning and avoid the generation of card machine, relative to generate devote a tremendous amount of time after card machine, goods and materials cost is got rid of poverty, to applying Realistic meaning is had more for work.
Summary of the invention
For double-shielded TBM in the frequent card machine of weak surrounding rock and crushed zone stratum, will cause huge time and goods and materials at The technical issues of this loss, the present invention propose a kind of double-shielded TBM shield body card machine prediction technique and system, based on to double shields The excavation of TBM boring parameter historical data, establishes the mathematical model of card machine early warning, is by the alarm exponent pair sought in real time No card machine is predicted, when index of alarming is greater than secure setting, issues warning reminding site operation personnel and reply is taken to arrange It applies, avoids card machine, the Realtime Alerts of double-shielded TBM card machine prediction may be implemented, be a kind of for constructing tunnel building security, height The safeguard mean of effect.
In order to achieve the above object, the technical scheme of the present invention is realized as follows: 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 computer in real time, boring parameter includes hilted broadsword thrust and promotes fast Degree;
Step 2: the preceding n boring parameter at current time, hilted broadsword thrust F are chosen1, 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 sliding average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V= [V1, V2..., Vn] sliding average is sought, boring parameter array F '=[F after obtaining sliding average1’,F2’…Fn'] and V '= [V1’,V2’…Vn'];
Step 4: seeking real-time characteristic index M using hyperbolic tangent function, is accumulated by each ring of accumulation read group total Characteristic index N;
Step 5: the alarm warning value N that characteristic index N will be accumulated with prestoredAIt is compared, if accumulation characteristic index N is big In alarm warning value NA, send this information to TBM host computer and alarm.
The sliding average is left sliding average, center sliding average or right sliding average.
When sliding window size is a, the operation method of the center sliding average of hilted broadsword thrust are as follows:
F1'=F1
F2'=(F1+F2+F3)/a;
F3'=(F2’+F3+F4)/a;
Fn-1'=(Fn-2’+Fn-1+Fn)/a;
Fn'=Fn
The acquiring method of the real-time characteristic index M and accumulation characteristic index N are as follows:
Seek the increment variation tendency x of current boring parameter hilted broadsword thrust F and driving speed V:
Real-time characteristic index are as follows:
The accumulation characteristic index of current time k are as follows:
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 related with the attribute of performance of equipment;MiIt represents this circulation and starts the real-time characteristic index that rear i-th of moment seeks;K is represented at this time Carve k-th point for being located at P. drechsleri;The 1-k real-time characteristic index M that the accumulation characteristic index N of current time k is recycled thus Accumulation summation.
The alarm warning value N prestoredAAre as follows: NA=S*Na, wherein S is the safety coefficient of TBM, and Na is that normal driving follows The accumulation characteristic index average value that ring segment data are sought.
The TBM host computer is equipped 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 host computer communication, current boring parameter includes single Knife thrust and driving speed value;
Model computing unit seeks accumulation characteristic index, i.e. card machine report according to boring parameter using hyperbolic tangent function Alert index;
Early warning display unit, by current accumulation characteristic index N real-time display in the operation interface of host computer;
Card machine alarm module, if current accumulation characteristic index N prestores alarm warning value N greater than settingA, then report is issued It is alert, it reminds main driver to select suitable boring parameter and carries 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 model, and system function module can be encapsulated as and be embedded into live TBM host computer, used In the early warning to the current card machine risk of equipment.Whether the present invention, which can occur card machine to equipment, is predicted, execute-in-place is reminded Personnel, which take timely measure, prevents card machine, so that generation card machine accident be avoided to bring huge manpower, financial resources, goods and materials damage It loses;By seeking card machine index, realizes real-time early warning, avoid that card machine accident occurs, the prediction of double-shielded TBM card machine may be implemented Realtime Alerts are a kind of for constructing tunnel building security, efficient safeguard mean.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 is flow chart of the invention.
Fig. 2 is the principle of the present invention block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under that premise of not paying creative labor Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of double-shielded TBM shield body card machine prediction technique, its step are as follows:
Step 1: boring parameter is obtained by live TBM host computer in real time, boring parameter includes hilted broadsword thrust and promotes fast Degree.
Step 2: the preceding n boring parameter at current time, hilted broadsword thrust F are chosen1, 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.
It is hilted broadsword thrust F and driving speed V that boring parameter to be used is needed on TBM host computer.The preceding n pick at current time Into parameter, 10 are defaulted as, longer or shorter time span can also be chosen, for reflecting that the variation of current boring parameter becomes Gesture.
Step 3: using sliding average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V= [V1, V2..., Vn] sliding average is sought, boring parameter array F '=[F after obtaining sliding average1’,F2’…Fn'] and V '= [V1’,V2’…Vn’]。
The sliding average is left sliding average, center sliding average or right sliding average.
When sliding window size is a, the operation method of the center sliding average of hilted broadsword thrust are as follows:
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 sliding average can be adjusted by setting, 3 are defaulted as, with the center sliding average of hilted broadsword thrust For operation method is sought, window value 3:
F1'=F1
F2'=(F1+F2+F3)/3;
F3'=(F2’+F3+F4)/3;
F9'=(F8’+F9+F10)/3;
F10'=F10
Step 4: seeking real-time characteristic index M using hyperbolic tangent function, is accumulated by each ring of accumulation read group total Characteristic index.
The acquiring method of real-time characteristic index M and accumulation characteristic index N are as follows:
Seek the increment variation tendency x of current boring parameter hilted broadsword thrust F and driving speed V:
Real-time characteristic index are as follows:
The accumulation characteristic index of current time k are as follows:
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 related with the attribute of performance of equipment;MiIt represents this circulation and starts the real-time characteristic index that rear i-th of moment seeks;K is represented at this time Carve k-th point for being located at P. drechsleri;The 1-k real-time characteristic index M that the accumulation characteristic index N of current time k is recycled thus Accumulation summation.
As boring parameter n=10, increment variation tendency x is indicated are as follows:
Weighted value w1 and w2 can be defaulted as 0.5 and 2 respectively, real-time characteristic index can be used hyperbolic tangent function or Person's arctan function.
Step 5: the alarm warning value N that characteristic index N will be accumulated with prestoredAIt is compared, if accumulation characteristic index N is big In alarm warning value NA, send this information to TBM host computer and alarm.
The alarm warning value N prestoredASetting value change with the difference of equipment.The alarm warning value N prestoredAAre as follows: NA= S*Na, wherein S is the safety coefficient of TBM, and Na is the accumulation characteristic index average value that normal P. drechsleri segment data is sought.
TBM host computer is equipped with double-shielded TBM card machine early warning system, as shown in Fig. 2, double-shielded TBM card machine early warning system Include:
Data capture unit, by obtaining current boring parameter in real time with host computer communication, current boring parameter includes single Knife thrust and driving speed value;
Model computing unit seeks accumulation characteristic index, i.e. card machine report according to boring parameter using hyperbolic tangent function Alert index;
Early warning display unit, by current accumulation characteristic index N real-time display in the operation interface of host computer;
Card machine alarm module, if current accumulation characteristic index N prestores alarm warning value N greater than settingA, then report is issued It is alert, it reminds main driver to select suitable boring parameter and carries out card machine prevention counter-measure in advance.Card machine alarm module can collect At on the host computer to scene, real-time monitoring is realized.
Whether the present invention establishes card machine forecast analysis model, can send out equipment by analyzing card machine data Raw card machine is predicted, is reminded site operation personnel to take timely measure and is prevented card machine, 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 in essence of the invention Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (6)

1. a kind of double-shielded TBM shield body card machine prediction technique, which is characterized in that its step are as follows:
Step 1: boring parameter is obtained by live TBM host computer in real time, boring parameter includes hilted broadsword thrust and fltting speed;
Step 2: the preceding n boring parameter at current time, hilted broadsword thrust F are chosen1, 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 sliding average window respectively to n hilted broadsword thrust F=[F1, F2..., Fn] and fltting speed V=[V1, V2..., Vn] sliding average is sought, boring parameter array F '=[F after obtaining sliding average1’,F2’…Fn'] and V '=[V1’, V2’…Vn'];
Step 4: seeking real-time characteristic index M using hyperbolic tangent function, accumulates feature by each ring of accumulation read group total Index N;
Step 5: the alarm warning value N that characteristic index N will be accumulated with prestoredAIt is compared, if accumulation characteristic index N is greater than alarm Warning value NA, send this information to TBM host computer and alarm.
2. double-shielded TBM shield body card machine prediction technique according to claim 1, which is characterized in that the sliding average is Left sliding average, center sliding average or right sliding average.
3. double-shielded TBM shield body card machine prediction technique according to claim 1, which is characterized in that when sliding window size When for a, the operation method of the center sliding average of hilted broadsword thrust are as follows:
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 prediction technique according to claim 1, which is characterized in that the real-time characteristic refers to Number M and the acquiring method for accumulating characteristic index N are as follows:
Seek the increment variation tendency x of current boring parameter hilted broadsword thrust F and driving speed V:
Real-time characteristic index are as follows:
The accumulation characteristic index of current time k are as follows:
Wherein, w1 and w2 is respectively the weighted value of thrust variation trend and fltting speed variation tendency, weighted value w1 and w2 with set Standby attribute of performance is related;MiIt represents this circulation and starts the real-time characteristic index that rear i-th of moment seeks;K represents this moment position In k-th point of P. drechsleri;The 1-k real-time characteristic index M accumulation that the accumulation characteristic index N of current time k is recycled thus Summation.
5. double-shielded TBM shield body card machine prediction technique according to claim 1, which is characterized in that the alarm prestored Warning value NAAre as follows: NA=S*Na, wherein S is the safety coefficient of TBM, and Na is the accumulation feature that normal P. drechsleri segment data is sought Exponential average.
6. double-shielded TBM shield body card machine prediction technique according to claim 1, which is characterized in that on the TBM host computer Equipped 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 host computer communication, current boring parameter is pushed away comprising hilted broadsword Power and driving speed value;
Model computing unit seeks accumulation characteristic index 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 display in the operation interface of host computer;
Card machine alarm module, if current accumulation characteristic index N prestores alarm warning value N greater than settingA, then alarm is issued, is mentioned The main driver that wakes up selects suitable boring parameter and carries out card machine prevention counter-measure in advance.
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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
CN111271069B (en) * 2020-03-13 2021-06-29 中交二公局第三工程有限公司 Tunnel engineering shield machine capable of giving early warning
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
CN112647965B (en) * 2020-12-09 2022-03-04 山东大学 Method and system suitable for real-time card-blocking prediction of TBM tunneling tunnel
CN113345128B (en) * 2021-05-31 2023-03-21 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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