Tunnel boring machine and tunnelling method
11668192 ยท 2023-06-06
Assignee
Inventors
Cpc classification
E21C39/00
FIXED CONSTRUCTIONS
E21D9/112
FIXED CONSTRUCTIONS
E21D9/108
FIXED CONSTRUCTIONS
E21C35/24
FIXED CONSTRUCTIONS
International classification
E21D9/11
FIXED CONSTRUCTIONS
Abstract
A tunnel boring machine having a cutting wheel equipped with a number of excavation tools provided with sensor units and, in a corresponding tunnelling method, only substantially fully worn excavation tools are able to be replaced using a data processing device designed with an advancement planning unit by detecting the current state of the excavation tools and predicting the state of the excavation tools on tool replacement predication planes lying in the advancing direction.
Claims
1. A method for tunneling, comprising: providing a tunnel boring machine including: a rotatable cutting wheel including a plurality of excavation tools mounted at respective excavation tool positions on the cutting wheel, and a plurality of sensor units operably coupled to respective excavation tools, each sensor unit outputting excavation tool data including at least a status of the respective excavation tool and an excavation tool position on the cutting wheel, storing each of geospatial data, the excavation tool data, and advancement data; determining one or more tool replacement prediction planes based upon the geospatial data, the excavation tool data, and the advancement data, the one or more tool replacement prediction planes indicating a position of the tunnel boring machine along a tunneling path where one or more of the plurality of excavation tools is predicted to be i) replaced with a new excavation tool, or ii) repositioned to a new position on the rotatable cutting wheel, and predetermining, when the tunnel boring machine is at a position at, or prior to, a next tool replacement prediction plane along the tunneling path, that one or more of the plurality of excavation tools is to be: i) replaced, when one of the plurality of excavation tools is nonfunctional in any excavation tool position on the rotatable cutting wheel while the tunnel boring machine is located prior to the next tool replacement prediction plane, or ii) repositioned from a present excavation tool position to a new excavation tool position, when one of the plurality of excavation tools is: a) nonfunctional in the present excavation tool position on the rotatable cutting wheel while the tunnel boring machine is located prior to the next tool replacement prediction plane, but b) is functional in the new excavation tool position at least until the tunnel boring machine is located at a tool prediction plane after the next tool replacement prediction plane.
2. The method of claim 1, wherein one or more of the plurality of excavation tools is replaced at a tool replacement predication plane when worn.
3. The method of claim 1, wherein at least one sensor unit of the plurality further comprises a wear status detection module, the wear status detection module detecting a wear status of the respective excavation tool operably coupled to the sensor unit.
4. The method of claim 1, wherein at least one sensor unit of the plurality further comprises a temperature detection module, the temperature detection module detecting a temperature of the respective excavation tool operably coupled to the sensor unit.
5. The method of claim 1, wherein at least one sensor unit of the plurality further comprises a load detection module, the load detection module detecting a mechanical load exerted on the respective excavation tool operably coupled to the sensor unit.
6. The method of claim 1, wherein: at least one of the plurality of the excavation tools include at least one rotatable cutting rollers, and at least one sensor unit of the plurality further comprises a rotational state detection module, the rotational state detection module detecting a rotational state of at least one of the rotatable cutting rollers operably coupled to the sensor unit.
7. The method of claim 1, wherein: the tunnel boring machine further comprising a rotational speed transmitter, the rotational speed transmitter detecting a rotational speed of the cutting wheel, and the predetermining of the replacing and/or repositioning of one or more of the plurality of excavation tools is based upon the detected rotational speed of the cutting wheel.
8. The method of claim 1, wherein: The tunnel boring machine further comprising a torque transmitter, the torque transmitter detecting a torque applied to the cutting wheel, and the predetermining of the replacing and/or repositioning of one or more of the plurality of excavation tools is based upon the detected torque applied to the cutting wheel.
9. The method of claim 1, wherein the excavation tool data includes wear data associated the wear of one or more other excavation tools during one or more previous tunneling in one or more different geologies, and the predetermining of the replacing and/or repositioning of one or more of the plurality of excavation tools is based upon the wear data.
10. The method of claim 1, wherein: the determining of the one or more tool replacement prediction planes is further based upon: quasi-actual status data, the quasi-actual status data based upon a calculated predetermination of wear of excavation tools based upon the wear of one or more other excavation tools during one or more previous tunneling in one or more different geologies, and target status data based upon an interpolation between two or more of the tool replacement predication planes, and the predetermining of the replacing and/or repositioning of one or more of the plurality of excavation tools is based upon a correction parameter, the correction parameter based upon a comparison of the quasi-actual status data with the target status data.
11. The method of claim 1, further comprising: generating a warning message and an alarm message based upon a determined critical and intolerable operating statuses and/or wear statuses associated with one or more of the plurality of excavation tools, the warning message and alarm message generated prior to the tunnel boring machine being located at the next tool replacement prediction plane.
12. The method of claim 1, further comprising determining a need for one or more new excavation tools for replacing the one or more excavation tools of the plurality predetermined to be replaced, the need based upon the tunnel boring machine reaching at least the next tool replacement predication plan.
Description
DESCRIPTION OF THE DRAWINGS
(1) Further expedient embodiments and advantages of the invention are yielded from the following description of exemplary embodiments of the invention making reference to the figures in the drawing.
(2) They show:
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DETAILED DESCRIPTION
(9)
(10) Assigned to every excavation tool 109 according to the invention is a sensor unit 124, which is designed to detect, by means of a temperature detection module (not depicted in
(11) Furthermore, the exemplary embodiment according to
(12) In the exemplary embodiment according to
(13) In addition, to detect data about the conditions in an excavation chamber 157, the exemplary embodiment according to
(14) The excavation tool measured data storage 130 and the advancement measured data storage 148 are connected in a cable-less or cabled manner to a data processing device, which is not depicted in
(15) Finally, for the sake of clarity, the simplified representation of an exemplary embodiment of a tunnel boring machine 103 according to the invention still shows pairs of advancing compactors 166, which are held in a compactor bearing ring 169 and which, when cutting through a tunnelling route 112, are supported on tubbing segments 172 provided to line a tunnel in order to press the cutting wheel 106 against the tunnel face 118.
(16) As an example,
(17) The sensor housing 222 assumes a design of a sensor unit 227, which is equipped in particular with a load sensor 230 and with a load transmitter 233 as components of a load detection module 236. The mechanical load acting on the cutting roller axis 224 can be detected with the load sensor 230 functioning for example via a mechanical deformation of a strain gauge or a strain measuring sleeve. The data recorded by the load sensor 230 can be supplied via the load transmitter 233 to the excavation tool measured data storage 130 in a cable-less manner or in an at least partially cabled manner.
(18)
(19) As an example,
(20) As an example,
(21) In the tool management central module 509, it is possible to store, on the one hand, framework parameters for a current tunnelling, such as the diameter of the cutting wheel 106 along with characteristic data for the excavation tools 109, such as the type, condition upon installation and position after installation, and, on the other hand, the excavation tool data that are provided with a time stamp and imported from the excavation tool measured data storage 130 according to the type of so-called change protocols.
(22) Included in the geospatial data storage 512 are geospatial data that are characteristic for a tunnelling route 112 to be cut through, which were obtained for example by a preliminary investigation of the geological analysis of bore cores, and in particular the type as well as the sequence of the anticipated geology located in front of the tunnel boring machine 103 in the advancing direction.
(23) The tool management central module 509 is connected to a data processing module 515 and to a service life prediction module 518 as further components of the advancement planning unit 506, wherein the data processing module 515 and the service life prediction module 518 are also connected to each other. Attached to the data processing module 515 as further components of the advancement planning unit 506, are, on the one hand, an empirical value storage 521, in which empirical values from previous tunnellings in different geologies can be stored including the expected geology for a current tunnelling, and a correction parameter storage 524, in which correction parameter values to use for a current tunnelling can be stored.
(24) In addition, the advancement planning unit 506 is equipped with a comparison module 527, which is connected, on the one hand, to the service life prediction module 518 and, on the other hand, to a maintenance plan storage 530 of the advancement planning unit 506, which is also connected expediently to the tool management central module 509 for updating at given points in time, such as especially when reaching tool replacement predication planes, to a warning/alarm generator 533 of the data processing device 503 and to a parallel arrangement of a change interval prediction module 536 as well as of a linear meter prediction module 539 of the advancement planning unit 506.
(25) The parallel arrangement of the change interval prediction module 536 and the linear meter prediction module 539 is also connected to a change recommendation processing module 542 of the advancement planning unit 506, which is also connected to a need adjustment module 545 of the data processing device 503.
(26) In the case of an advancement of the tunnel boring machine 103 according to the invention for cutting through a tunnelling route 112, the most important components of which were explained above as an example, the data processing device 503 operates essentially as explained in the following.
(27) The data from the tool management central module 509, the empirical value storage 521 and the correction parameter storage 524 can be processed with the data processing module 515 in such a manner that the probable remaining service life of the excavation tools 109 can be determined with the service life prediction module 518 by very close-to-reality target data, as therefore very reliable quasi actual data, which is based on current excavation tool data and an assumed progression of the further phases of tunnelling, which data can be supplied to the comparison module 527.
(28) With the comparison module 527, it is possible to compare the quasi actual data in accordance with the close-to-reality predetermination from the service life prediction module 518 with the target data associated with the tunnelling location in accordance with interpolation predictions between tool replacement predication planes from the maintenance plan storage 530 to the effect that, on the one hand, in the case of deviations that are not tolerable and that also cannot be rectified by correction measures of advancement parameters that are described in more detail further below, an immediate alarm can be output via the warning/alarm generator 533 and, on the other hand, in the case of still tolerable deviations, correction data that can be supplied to the correction parameter storage 524 can be generated in an automated self-learning mode, with which correction data, new quasi actual data can be generated with the service life prediction module 518 via the correction parameter storage 524 and the data processing module 515, which data produce a smaller deviation of the quasi actual data from the target data.
(29) With the change interval prediction module 536 and the linear meter prediction module 539, and based on initial data of the comparison module 527, recommendations for planning change intervals for a position change at a new excavation tool position or for replacement of excavation tools 109 with new excavation tools 109 at specific projected linear meters can be made and can be supplied to the change recommendation processing module 542, with which concrete instructions for work to be performed at at least the next tool replacement predication plane can be generated and displayed.
(30) In addition, recommendation data can be generated with the change interval prediction module 536 to the effect that advancement parameters of the tunnel boring machine 103 such as the rotational speed of the cutting wheel 106 and/or torque being applied to the cutting wheel 106 are adjusted to the effect that in particular even in the case of conditions in the geology to be broken through that deviate from the geospatial data, at least the next tool replacement predication plane is reached preferably with excavation tools 109 that are in a sense optimally worn, that, at the next tool replacement predication plane, excavation tools 109 are replaced based on full wear and excavation tools 109 that are not yet fully worn are installed at respectively new excavation tool positions in such a way, that, after such position changes, only partially worn excavation tools 109 reach at least the tool replacement predication plane after the next one by [the time of] full wear.
(31) Because the change recommendation processing module 542 is connected to the need adjustment module 545, it is also possible to estimate the probable future need for excavation tools 109 at tool replacement predication planes and, when the inventory of available new excavation tools 109 for replacing fully worn excavation tools 109 falls short, a warning message is triggered by the warning/alarm generator 533 to increase the inventory of new excavation tools 109 by the next tool replacement predication plane.
(32) When reaching tool replacement predication planes, it is expedient to update the maintenance plan storage 530 via the tool management central module 509 to the effect that, after changing and/or replacing excavation tools 109, the then current equipping of the cutting wheel 106 with excavation tools 109 in the respective status at the corresponding excavation tool positions can be stored in the maintenance plan storage 530.
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(34) In the depiction in accordance with