CN209261588U - A kind of anti-skidding detection automatic processing device of support boots - Google Patents
A kind of anti-skidding detection automatic processing device of support boots Download PDFInfo
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- CN209261588U CN209261588U CN201822185612.9U CN201822185612U CN209261588U CN 209261588 U CN209261588 U CN 209261588U CN 201822185612 U CN201822185612 U CN 201822185612U CN 209261588 U CN209261588 U CN 209261588U
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Abstract
The utility model discloses a kind of anti-skidding detection automatic processing devices of support boots, it includes host module；The host module includes power module, CPU module and A/D conversion module；The input/output terminal of the CPU module is connected with peripheral unit；The signal input part connection signal acquisition unit of the A/D conversion module；The peripheral unit includes data memory module and PLC ethernet communication interface module；The signal acquisition unit is made of vibrating sensor, ultrasonic wave stroke sensor and interface module；The signal output end of the interface module is connected with the input terminal of A/D conversion module；It can be under the complex working condition environment of underground, improve TBM work progress support boots sliding detection and processing, it according to support boots sliding condition real-time data collection and can be automatically adjusted, enhance the ego state regulating power of TBM equipment, while reducing construction cost, improving drivage efficiency and energy-saving.
Description
Technical field
The utility model relates to signal detection and automation field in TBM equipment tunneling process, specially one kind is used for
Control system sliding mode detection in boots operation process and adaptively adjusted is supportted under this specific operation of TBM tunneling process.
Background technique
With the continuous development and progress of modern society, the especially fast development of Modern Traffic transport service, to people's
Trip brings great convenience.
The fast development for speaking of Modern Traffic transport service would have to mention during the mountain tunnel construction of underground
The TBM for playing key effect, greatly improves working security and construction efficiency, more complicated particularly with some geology
Area, TBM play huge effect in the construction process.
Since hard rock tunnel of the TBM mostly under geological environment complex working conditions is excavated, underground activities environment is unstable, if
Standby vibration is stronger, and since the hinged end of TBM propelling cylinder is connected with support boots, the other end is connect with girder, and support boots are tunneling
It is easy the limited movement on girder in the process, in existing TBM equipment work progress, mainly depends on people for support boots sliding phenomenon
Work field observation, advanced processing prevent support boots sliding from posture being caused deviation occur.But it is manually existing in practical tunneling process at the scene
Field observation carries out post-processing according to equipment limit alarm, there is influence construction efficiency, increased costs for site operation
The problem of, and have more serious energy loss, it is especially outdated under the overall background of global energy-saving and emission-reduction.
Therefore it provides one kind can under the complex working condition environment of underground, improve TBM work progress support boots sliding detection and
Processing can enhance oneself of TBM equipment according to support boots sliding condition real-time data collection and the control device being automatically adjusted
My status adjustment ability, while reducing construction cost, improving drivage efficiency and energy-saving, being one is worth asking for research
Topic.
Summary of the invention
In order to overcome the deficiencies in the prior art described above, the utility model provides one kind and can effectively tunnel to TBM
The limit of process support boots sliding process support boots, support boots sliding stroke, propelling cylinder thrust and work state information are acquired
Processing effectively reflects the state parameter of tunneling process support boots, so as to carry out operation, analysis to above-mentioned signal, using more
Group driving cycle parameter asks weighted average method adjusting, threshold decision scheduling algorithm to be handled, according to the current support boots of TBM construction
State parameter, the displacement of adjustment left and right support boots and clamping force, gradually reduce since extraneous factor causes support boots sliding stroke amount in real time
Automatic processing device.
The technical solution of the utility model is achieved in that a kind of anti-skidding detection automatic processing device of support boots, it includes
Host module；The host module includes power module, the CPU module connecting with power module power output end and and CPU
The A/D conversion module of the signal input part connection of module；The input/output terminal of the CPU module is connected with peripheral unit；It is described
The signal input part connection signal acquisition unit of A/D conversion module；The peripheral unit include respectively with CPU module input and output
The connected data memory module in end and PLC ethernet communication interface module；The signal acquisition unit is by being mounted on support boots oil cylinder
With on TBM main beam guide track connector vibrating sensor, be mounted on it is super on support boots oil cylinder and TBM main beam guide track connector side
Sonic wave travel sensor and signal input part the signal output end phase with vibrating sensor and ultrasonic wave stroke sensor respectively
Interface module composition even；The signal output end of the interface module is connected with the input terminal of A/D conversion module.
Further, the interface module is extensive interface type, is built-in with acquisition harness and transmission harness.
The step of carrying out the method for the support anti-skidding detection processing of boots using the above-mentioned anti-skidding detection automatic processing device of support boots is such as
Under:
Step 1: vibrating sensor, ultrasonic wave stroke sensor acquire signal, transmit A/D conversion module by interface module
Signal processing is carried out, while CPU module extracts initial TBM machine parameter by PLC ethernet communication interface, and carries out local deposit
Storage；
Treated vibrating sensor, ultrasonic wave stroke sensor signal are transmitted to CPU mould by step 2:A/D conversion module
Block；
Step 3:CPU module handles the A/D conversion module output signal of signal processing unit, and processing result is pushed away
It send to data memory module and is compared processing with the extracted initial TBM machine parameter of PLC ethernet communication interface module,
Processing method are as follows: the signal of the signal acquisition unit output is input to CPU by the A/D conversion module of signal processing unit
Module carries out multiple groups driving cycle parameter and weighted average method adjusting, threshold decision scheduling algorithm is asked to be handled, and is applied according to TBM
Work currently supports boots state parameter, in real time the displacement of adjustment left and right support boots and clamping force, gradually reduces since extraneous factor causes support boots
The purpose of sliding stroke amount.
The beneficial effects of the utility model are: the utility model can effectively slide TBM tunneling process support boots
The limit of journey support boots, support boots sliding stroke, propelling cylinder thrust and work state information are acquired processing, effectively reflect pick
Into the state parameter of process support boots, so as to carry out operation, analysis to above-mentioned signal, is asked and added using multiple groups driving cycle parameter
Weight average value method is adjusted, threshold decision scheduling algorithm is handled, and is constructed according to TBM and is currently supportted boots state parameter, adjusted in real time
The displacement of left and right support boots and clamping force are gradually reduced since extraneous factor causes support boots sliding stroke amount, utility model device system
System response is fast, is convenient for debugging, is at low cost, can be effectively reduced the sliding of TBM operation process support boots and endangers to construction site bring
Evil, to reduce energy consumption, reach energy-saving and emission-reduction and improve the dual purpose of construction efficiency, economic benefit and social benefit are huge.
Detailed description of the invention
Fig. 1 is the system block diagram of the utility model.
Fig. 2 is the flow chart of the utility model acquiring and processing method.
In figure: 1- vibrating sensor, 2- ultrasonic wave stroke sensor, 3- interface module, 4- power module, 5-CPU module,
6-A/D conversion module, 7- data memory module, 8-PLC ethernet communication interface module.
Specific embodiment
The utility model is described in further detail in the following with reference to the drawings and specific embodiments.
As shown in Figure 1, the utility model supports the anti-skidding detection automatic processing device of boots, it includes host module；The host
Module includes power module 4, the CPU module connecting with power module power output end 5 and the signal input part with CPU module
The A/D conversion module 6 of connection；The input/output terminal of the CPU module is connected with peripheral unit；The letter of the A/D conversion module 6
Number input terminal connection signal acquisition unit；The peripheral unit includes that the data being connected respectively with CPU module input/output terminal are deposited
Store up module 7 and PLC ethernet communication interface module 8；The signal acquisition unit is by being mounted on support boots oil cylinder and TBM main beam guide track
Vibrating sensor 1 on connector, the ultrasonic wave stroke sensing being mounted on support boots oil cylinder and TBM main beam guide track connector side
The interface that device 2 and signal input part are connected with the signal output end of vibrating sensor 1 and ultrasonic wave stroke sensor 2 respectively
Module 3 forms；The signal output end of the interface module 3 is connected with the input terminal of A/D conversion module 6；The interface module
For extensive interface type, it is built-in with acquisition harness and transmission harness.
In the present embodiment: the AC133 type vibrating sensor that vibrating sensor is produced using CTC company, the U.S.；It is super
Sonic sensor uses the M30 type ultrasonic sensor of Elco's production；Interface module using
The max1480b type digital communication interface chip of U.S.'s Maxim production；Power module is raw using Texas Instruments TI
The DCP02 type power supply chip of production；The Atmega128 single-chip microcontroller that CPU module is produced using American ATMEL；A/D turns
The Atmega128 single-chip microcontroller built-in module that mold changing block is produced using American ATMEL；What data memory module used
It is the external LPC2292FBD144 type pin-saving chip of single-chip microcontroller of Philips Semiconductors company, U.S. production；
The RTL8019AS type ethernet controller that ethernet communication module is produced using Taiwan Realtek company.
As shown in Fig. 2, carrying out the support anti-skidding detection of boots using the anti-skidding detection automatic processing device of support boots described in the present embodiment
The step of method of processing, is as follows:
Step 1: vibrating sensor, ultrasonic wave stroke sensor acquire signal, transmit A/D conversion module by interface module
Signal processing is carried out, while CPU module extracts initial TBM machine parameter by PLC ethernet communication interface, and carries out local deposit
Storage；
Treated vibrating sensor, ultrasonic wave stroke sensor signal are transmitted to CPU mould by step 2:A/D conversion module
Block；
Step 3:CPU module handles the A/D conversion module output signal of signal processing unit, and processing result is pushed away
It send to data memory module and is compared processing with the extracted initial TBM machine parameter of PLC ethernet communication interface module,
Processing method are as follows: the signal of the signal acquisition unit output is input to CPU by the A/D conversion module of signal processing unit
Module carries out multiple groups driving cycle parameter and weighted average method adjusting, threshold decision scheduling algorithm is asked to be handled, and is applied according to TBM
Work currently supports boots state parameter, in real time the displacement of adjustment left and right support boots and clamping force, gradually reduces since extraneous factor causes support boots
The purpose of sliding stroke amount.
When use: whether check device indicator of the power supply status is normal, selects vibrating sensor and ultrasonic wave stroke sensing
Sensor is fixed to the moving guide rail position that TBM support boots are contacted with girder by the corresponding parameter type of device output signal, and principle is
It neither influences TBM equipment to work normally, the movement of support boots and vibrational state parameter can be acquired in real time again, passed by interface module
Defeated to arrive host module, then signal acquisition unit outputs signals to the A/D conversion module of signal processing unit, signal processing unit
A/D conversion module output signals to CPU module, to above-mentioned signal carry out operation, analysis, using multiple groups driving cycle parameter ask
Weighted average method is adjusted, threshold decision scheduling algorithm is handled, and is constructed according to TBM and is currently supportted boots state parameter, adjusted in real time
Whole left and right support boots displacement and clamping force are gradually reduced since extraneous factor causes support boots sliding stroke amount.
The technical personnel in the technical field can readily realize the utility model with the above specific embodiments,.But
It is it should be appreciated that the utility model is not limited to above-mentioned specific embodiment.On the basis of the disclosed embodiments, described
Those skilled in the art can arbitrarily combine different technical features, to realize different technical solutions.
Claims (2)
1. a kind of anti-skidding detection automatic processing device of support boots, it is characterised in that: it includes host module；The host module includes
It power module (4), the CPU module (5) being connect with power module power output end and is connect with the signal input part of CPU module
A/D conversion module (6)；The input/output terminal of the CPU module is connected with peripheral unit；The letter of the A/D conversion module (6)
Number input terminal connection signal acquisition unit；The peripheral unit includes that the data being connected respectively with CPU module input/output terminal are deposited
Store up module (7) and PLC ethernet communication interface module (8)；The signal acquisition unit is by being mounted on support boots oil cylinder and TBM girder
Vibrating sensor (1) on guide-rail coupling member, the ultrasonic wave row being mounted on support boots oil cylinder and TBM main beam guide track connector side
Journey sensor (2) and signal input part are exported with the signal of vibrating sensor (1) and ultrasonic wave stroke sensor (2) respectively
Connected interface module (3) composition in end；The input terminal phase of the signal output end and A/D conversion module (6) of the interface module (3)
Connection.
2. the anti-skidding detection automatic processing device of support boots according to claim 1, it is characterised in that: the interface module is can
Expansion interface type is built-in with acquisition harness and transmission harness.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201822185612.9U CN209261588U (en) | 2018-12-25 | 2018-12-25 | A kind of anti-skidding detection automatic processing device of support boots |
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| CN201822185612.9U CN209261588U (en) | 2018-12-25 | 2018-12-25 | A kind of anti-skidding detection automatic processing device of support boots |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109441475A (en) * | 2018-12-25 | 2019-03-08 | 中铁隧道局集团有限公司 | A kind of anti-skidding detection automatic processing device of support boots and its detection processing method |
| CN113153316A (en) * | 2021-04-29 | 2021-07-23 | 中铁工程装备集团有限公司 | Detection device, heading machine and shoe-supporting slip detection method thereof |
-
2018
- 2018-12-25 CN CN201822185612.9U patent/CN209261588U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109441475A (en) * | 2018-12-25 | 2019-03-08 | 中铁隧道局集团有限公司 | A kind of anti-skidding detection automatic processing device of support boots and its detection processing method |
| CN109441475B (en) * | 2018-12-25 | 2024-04-26 | 中铁隧道局集团有限公司 | Automatic processing device for skid resistance detection of supporting boots and detection processing method thereof |
| CN113153316A (en) * | 2021-04-29 | 2021-07-23 | 中铁工程装备集团有限公司 | Detection device, heading machine and shoe-supporting slip detection method thereof |
| CN113153316B (en) * | 2021-04-29 | 2022-03-04 | 中铁工程装备集团有限公司 | Detection device, heading machine and shoe-supporting slip detection method thereof |
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