CN115726814B - Intelligent control method and system for tunnel lining trolley - Google Patents
Intelligent control method and system for tunnel lining trolley Download PDFInfo
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- CN115726814B CN115726814B CN202211344848.7A CN202211344848A CN115726814B CN 115726814 B CN115726814 B CN 115726814B CN 202211344848 A CN202211344848 A CN 202211344848A CN 115726814 B CN115726814 B CN 115726814B
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- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000012544 monitoring process Methods 0.000 claims abstract description 176
- 238000005266 casting Methods 0.000 claims description 40
- 230000011218 segmentation Effects 0.000 claims description 16
- 238000001514 detection method Methods 0.000 claims description 15
- 238000000465 moulding Methods 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 5
- 238000013079 data visualisation Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000000007 visual effect Effects 0.000 claims description 4
- 238000012800 visualization Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 238000007569 slipcasting Methods 0.000 description 4
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The application provides an intelligent control method and system for a tunnel lining trolley, which are applied to the technical field of intelligent control, and the method comprises the following steps: and transversely dividing the pump port by acquiring the pump port setting information of the tunnel lining trolley to determine layered dividing nodes. And acquiring data of the lining wall of the tunnel to be built to obtain the shape and the size of the lining of the tunnel. Dividing the tunnel lining shape and size according to the layered dividing nodes, determining pouring layered information, and determining pouring requirements of each layer. And obtaining monitoring parameters and monitoring parameter requirements according to pouring requirements and pouring layering information of each layer. And performing equipment allocation and monitoring on each layer to obtain monitoring data of each layer. And performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, determining a monitoring comparison result, and performing parameter control on the tunnel lining trolley. The method solves the technical problems of low grouting efficiency and reduced concrete lining quality caused by lower intelligentization of a tunnel lining trolley control method in the prior art.
Description
Technical Field
The application relates to the technical field of intelligent control, in particular to an intelligent control method and system for a tunnel lining trolley.
Background
The tunnel lining trolley is a secondary tunnel construction processLining liningThe special equipment is used for the concrete lining construction of the tunnel inner wall. In the prior art, the tunnel lining trolley adopts a single-hole grouting mode to perform grouting when distributing materials, and needs manual pipe disassembly and pipe replacement operation when replacing the grouting holes, so that grouting efficiency is low, and the problems of concrete segregation, generation of herringbone slope cold joints and concrete lining quality reduction are caused due to the fact that the grouting is performed by adopting the single-hole grouting mode.
Therefore, the control method of the tunnel lining trolley in the prior art is low in intellectualization, so that grouting efficiency is low, and the technical problem of concrete lining quality degradation is caused.
Disclosure of Invention
The application provides an intelligent control method and system for a tunnel lining trolley, which are used for solving the technical problems of low grouting efficiency and reduced concrete lining quality caused by lower intelligent control method for the tunnel lining trolley in the prior art.
In view of the above problems, the application provides an intelligent control method and system for a tunnel lining trolley.
In a first aspect of the present application, there is provided an intelligent control method for a tunnel lining trolley, the method comprising: obtaining pump interface setting information of a tunnel lining trolley; according to the pump interface setting information, transversely dividing the pump port to determine pouring layering dividing nodes; acquiring data of a lining wall of a tunnel to be built to obtain tunnel lining shape information and tunnel lining size; dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes, and determining pouring layering information; determining pouring requirements of each layer according to the pouring layering information; according to the pouring requirements and the pouring layering information of each layer, monitoring parameters of each layer and the monitoring parameter requirements are obtained; distributing monitoring equipment according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer, and obtaining monitoring data of each layer; performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, and determining a monitoring comparison result; and carrying out parameter control on the tunnel lining trolley based on the monitoring comparison result.
In a second aspect of the present application, there is provided an intelligent control system for a tunnel lining trolley, the system comprising: the setting information acquisition module is used for acquiring the pump interface setting information of the tunnel lining trolley; the pouring layered segmentation node acquisition module is used for transversely segmenting the pump port according to the pump port setting information to determine pouring layered segmentation nodes; the data acquisition module is used for acquiring data of the lining wall of the tunnel to be built to obtain tunnel lining shape information and tunnel lining size; the pouring layering information acquisition module is used for dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes to determine pouring layering information; the pouring requirement acquisition module is used for determining the pouring requirements of each layer according to the pouring layering information; the monitoring requirement acquisition module is used for acquiring monitoring parameters and monitoring parameter requirements of each layer according to the pouring requirements and the pouring layering information of each layer; the monitoring data acquisition module is used for carrying out monitoring equipment allocation according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer and obtaining monitoring data of each layer; the monitoring comparison result acquisition module is used for performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements to determine a monitoring comparison result; and the parameter control module is used for controlling parameters of the tunnel lining trolley based on the monitoring comparison result.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method provided by the embodiment of the application obtains the pump interface setting information of the tunnel lining trolley. And transversely dividing the pump port according to the pump port setting information, and determining pouring layering dividing nodes. And acquiring data of the lining wall of the tunnel to be built to obtain tunnel lining shape information and tunnel lining size. And dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes, and determining pouring layering information. And determining pouring requirements of each layer according to the pouring layering information. And according to the pouring requirements and the pouring layering information of each layer, obtaining monitoring parameters and monitoring parameter requirements of each layer. And distributing monitoring equipment according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer, and obtaining monitoring data of each layer. And performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, and determining a monitoring comparison result. And carrying out parameter control on the tunnel lining trolley based on the monitoring comparison result. Through carrying out layering pouring to treat the tunnel of laying, improved slip casting efficiency, simultaneously through obtaining monitoring parameter, realize the intelligent control to tunnel lining platform truck to guarantee slip casting quality. The method solves the technical problems of low grouting efficiency and reduced concrete lining quality caused by lower intelligentization of a tunnel lining trolley control method in the prior art.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of an intelligent control method of a tunnel lining trolley provided by the application;
fig. 2 is a schematic flow chart of obtaining output image information in the intelligent control method of the tunnel lining trolley provided by the application;
FIG. 3 is a schematic flow chart of the method for intelligently controlling the tunnel lining trolley for height monitoring;
fig. 4 is a schematic structural diagram of an intelligent control system of a tunnel lining trolley.
Reference numerals illustrate: the system comprises an information acquisition module 11, a pouring layering partition node acquisition module 12, a data acquisition module 13, a pouring layering information acquisition module 14, a pouring requirement acquisition module 15 of each layer, a monitoring requirement acquisition module 16, a monitoring data acquisition module 17, a monitoring comparison result acquisition module 18 and a parameter control module 19.
Description of the embodiments
The application provides an intelligent control method and system for a tunnel lining trolley, which are used for solving the technical problems of low grouting efficiency and reduced concrete lining quality caused by lower intelligent control method for the tunnel lining trolley in the prior art.
The technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that the present application can realize, and not all of the contents of the present application.
Example 1
As shown in fig. 1, the application provides an intelligent control method of a tunnel lining trolley, which comprises the following steps:
step 100: obtaining pump interface setting information of a tunnel lining trolley;
step 200: according to the pump interface setting information, transversely dividing the pump port to determine pouring layering dividing nodes;
step 300: acquiring data of a lining wall of a tunnel to be built to obtain tunnel lining shape information and tunnel lining size;
step 400: dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes, and determining pouring layering information;
step 500: determining pouring requirements of each layer according to the pouring layering information;
specifically, pump interface setting information of the tunnel lining trolley is obtained, wherein the pump interface setting information of the tunnel lining trolley is a pump interface setting position on the tunnel lining trolley, and according to the pump interface setting information, the pump opening is transversely segmented, namely transversely and highly segmented, pouring layered segmentation nodes are determined, and the pouring layered segmentation nodes are located below the pump interfaces on the tunnel lining trolley. And then, data acquisition is carried out on the lining wall of the tunnel to be built, and tunnel lining shape information and tunnel lining size of the tunnel to be built are acquired. And further dividing the tunnel lining shape information and the tunnel lining size according to the pouring layered dividing nodes, and determining pouring layered information, namely acquiring the pouring layered dividing nodes according to the pump interface setting information, and dividing the tunnel according to the pouring layered dividing nodes. Further, according to the pouring layering information, the pouring requirements of each layer are determined, pouring requirement information of each layer is obtained, wherein the pouring requirement information comprises pouring time requirements, pressure requirements, height requirements, temperature requirements and the like generated during pouring of each layer, and concrete monitoring parameters are convenient to determine subsequently, so that real-time monitoring of a pouring process is realized.
As shown in fig. 2, the method step 500 provided in the embodiment of the present application further includes:
step 510: according to the pouring layered segmentation nodes, carrying out corresponding position segmentation on tunnel lining shape information and tunnel lining size, and determining tunnel size information and tunnel lining shape information corresponding to each layered;
step 520: pump pouring parameter information is obtained;
step 530: determining control parameter information of each layer according to the tunnel size information, tunnel lining shape information and pump pouring parameter information corresponding to each layer, wherein the control parameter information of each layer is used for carrying out pump operation control on each layer;
step 540: and determining pouring requirements of each layer based on the control parameter information of each layer and the tunnel size information corresponding to each layer.
Specifically, when pouring requirements of each layer are obtained, corresponding position segmentation is carried out on tunnel lining shape information and tunnel lining size through pouring layering segmentation nodes, and tunnel size information and tunnel lining shape information corresponding to each layering are determined. And then, pump pouring parameter information is obtained, wherein the pump pouring parameter information comprises flow information when pouring is carried out. And determining control parameter information of each layer according to the tunnel size information, the tunnel lining shape information and the pump pouring parameter information corresponding to each layer. The method comprises the steps of obtaining the casting demand of each layer by obtaining tunnel size information and tunnel lining shape information corresponding to the layers, and obtaining casting control parameters of each layer by pump casting parameter information, wherein the casting control parameters comprise casting time control parameters and opening and closing control parameters of casting openings of each layer, and the control parameter information of each layer is used for controlling pump operation of each layer. And finally, determining pouring requirements of each layer based on the control parameter information of each layer and the tunnel size information corresponding to each layer, wherein the pouring requirements of each layer comprise pouring time requirements, pressure requirements, height requirements, temperature requirements and the like generated during pouring of each layer, so that concrete monitoring parameters can be conveniently determined later, and real-time monitoring of a pouring process is realized.
Step 600: according to the pouring requirements and the pouring layering information of each layer, monitoring parameters of each layer and the monitoring parameter requirements are obtained;
step 700: distributing monitoring equipment according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer, and obtaining monitoring data of each layer;
step 800: performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, and determining a monitoring comparison result;
step 900: and carrying out parameter control on the tunnel lining trolley based on the monitoring comparison result.
Specifically, according to pouring requirements and pouring layering information of each layer, monitoring parameters and monitoring parameter requirements of each layer are obtained, namely, the monitoring parameters and the corresponding monitoring parameter requirements of each layer are obtained through pouring layering information of each layer and corresponding layers, including monitoring on the aspects of height, pressure, temperature and the like. And then, carrying out monitoring equipment distribution according to the monitoring parameters of each layer, wherein the monitoring equipment comprises image acquisition equipment, a flow monitor, a temperature sensor and a pressure detector, distributing corresponding monitoring equipment for different layers, generating monitoring execution information, controlling the monitoring equipment to monitor each layer according to the monitoring execution information, obtaining monitoring data of each layer, and completing monitoring of pouring grouting processes of each layer. And then, performing traversal comparison on the monitoring data of each layer and the corresponding monitoring parameter requirements, namely performing traversal comparison on the actual monitoring data and the corresponding monitoring parameter requirements to obtain a monitoring comparison result. And the corresponding control parameters are generated through monitoring and comparing the parameters of each layer, so that the intelligent control of the tunnel lining trolley is realized, the grouting quality is ensured, and the grouting efficiency is improved.
As shown in fig. 3, the method step 700 provided in the embodiment of the present application further includes:
step 710: image acquisition is carried out on the pouring process through image acquisition equipment, and pouring image information is obtained, wherein the pouring image information comprises pouring position coordinates and a pouring image;
step 720: extracting casting height characteristics according to the casting image, and determining casting height;
step 730: determining pouring division points according to the pouring layering information and the pouring position coordinates, and comparing the pouring heights according to the pouring division points;
step 740: judging whether the pouring height exceeds the pouring dividing point, and when the pouring height exceeds the pouring dividing point, sending early warning information and generating stop information, wherein the stop information is used for closing the pump.
Specifically, the monitoring device comprises an image acquisition device, a flow monitor, a temperature sensor and a pressure detector. And carrying out image acquisition on the pouring process through image acquisition equipment to obtain pouring image information, wherein the pouring image information comprises pouring position coordinates and a pouring image. The pouring position coordinates are specific pouring opening position coordinates. And extracting the casting height characteristics according to the casting image, and determining the casting height. And then, determining a current pouring division point according to pouring layering information and current pouring position coordinates, wherein the pouring division point is a division area point of each pouring layering, and comparing the pouring heights according to the pouring division point. And finally, judging whether the casting height exceeds a casting division point, when the casting height exceeds the casting division point, indicating that the casting of the current casting layering is finished, sending early warning information, generating corresponding casting pump interface stop information, and closing a pump by the stop information to ensure the casting effect of the casting layering.
The method step 700 provided by the embodiment of the application further comprises:
step 750: the pressure detector paved by a plurality of pressure monitoring points is used for detecting the pressure of each pressure monitoring point to obtain pressure detection information;
step 760: paving coordinate information according to pressure detection points, wherein the pressure detection information is used for determining pressure distribution information;
step 770: and when the pressure distribution information does not meet the preset pressure distribution requirement, sending reminding information.
Specifically, by setting a plurality of pressure monitoring points and paving pressure detectors, real-time pressure detection is carried out on each pressure monitoring point, and pressure detection information is obtained. Because the grouting amounts of different heights are different, the generated grouting pressures are also different, when the pressure is lower than the pressure requirement of the corresponding area, the grouting amount of the area is smaller, the condition of non-uniform grouting exists, the pressure condition of each position is judged by monitoring the pressure, and the uniform grouting degree is conveniently obtained. And according to the paving coordinate information of the pressure detection points, the pressure detection information is used for determining pressure distribution information, wherein the pressure distribution information comprises specific positions of the paving points and corresponding actual pressure detection information. Judging whether the pressure distribution information does not meet preset pressure distribution requirements, and when the pressure distribution information does not meet the preset pressure distribution requirements, indicating that grouting unevenness exists at the corresponding paving points, sending reminding information, facilitating operators to find grouting problems in time, and further guaranteeing grouting effects.
The method step 740 provided by the embodiment of the application further comprises:
step 741: obtaining concrete temperature and concrete flow information through the flow monitor and the temperature sensor;
step 742: judging whether the concrete temperature meets the molding temperature control requirement, and sending reminding information when the concrete temperature does not meet the molding temperature control requirement;
step 743: determining concrete usage information according to the concrete flow information;
step 744: judging whether the concrete usage amount information exceeds the casting height requirement, and when the concrete usage amount information exceeds the casting height requirement, sending early warning information and generating stop information.
Specifically, the throughput monitor and the temperature sensor acquire concrete temperature and concrete flow information. Then, judging whether the concrete temperature meets the molding temperature control requirement, when the concrete temperature does not meet the molding temperature control requirement, sending reminding information, and because the concrete needs to be kept in a certain temperature range when being molded, otherwise, generating temperature cracks in the solidification process, when the concrete temperature does not meet the molding temperature control requirement, sending the reminding information, so that operators can find problems in time, and the grouting effect is ensured. And determining concrete usage information according to the concrete flow information. Judging whether the concrete usage amount information exceeds the casting height requirement, wherein the concrete amount required under a certain height hardly changes due to a certain proportional relation between the casting height and the casting amount. When the concrete dosage information exceeds the concrete dosage information required by the casting height, at the moment, the concrete possibly has leakage condition, the early warning information is sent, the stop information is generated, and the concrete casting work of the area is stopped.
The method step 740 provided by the embodiment of the application further comprises:
step 745: storing the monitoring data acquired by all monitoring devices to generate a monitoring database;
step 746: performing visualization processing on each monitoring data according to the monitoring database to generate a monitoring data visualization image;
step 747: and according to the request information of the field operator, transmitting the monitoring data set and the monitoring data visual image corresponding to the request information to the operator terminal equipment.
Specifically, monitoring data acquired by the monitoring equipment are stored, and a monitoring database is generated. And then carrying out visualization processing on each monitoring data according to the monitoring database, and generating a simulated monitoring data visualization image according to the detection position of the detection equipment. And finally, according to the request information of the on-site operators, a monitoring data set and a monitoring data visual image corresponding to the request information are sent to the operator terminal equipment, so that the operators can conveniently acquire the specific construction conditions of each construction project in real time.
In summary, the method provided by the embodiment of the application obtains the pump interface setting information of the tunnel lining trolley. And transversely dividing the pump port according to the pump port setting information, and determining pouring layering dividing nodes. And acquiring data of the lining wall of the tunnel to be built to obtain tunnel lining shape information and tunnel lining size. And dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes, and determining pouring layering information. And determining pouring requirements of each layer according to the pouring layering information. And according to the pouring requirements and the pouring layering information of each layer, obtaining monitoring parameters and monitoring parameter requirements of each layer. And distributing monitoring equipment according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer, and obtaining monitoring data of each layer. And performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, and determining a monitoring comparison result. And carrying out parameter control on the tunnel lining trolley based on the monitoring comparison result. Through carrying out layering pouring to treat the tunnel of laying, improved slip casting efficiency, simultaneously through obtaining monitoring parameter, realize the intelligent control to tunnel lining platform truck to guarantee slip casting quality. The method solves the technical problems of low grouting efficiency and reduced concrete lining quality caused by lower intelligentization of a tunnel lining trolley control method in the prior art.
Example two
Based on the same inventive concept as the intelligent control method of a tunnel lining trolley in the foregoing embodiments, as shown in fig. 4, the present application provides an intelligent control system of a tunnel lining trolley, the system comprising:
a setting information acquisition module 11 for acquiring pump interface setting information of the tunnel lining trolley;
the pouring layered segmentation node acquisition module 12 is used for transversely segmenting the pump port according to the pump interface setting information to determine pouring layered segmentation nodes;
the data acquisition module 13 is used for acquiring data of the lining wall of the tunnel to be built to obtain tunnel lining shape information and tunnel lining size;
the pouring layering information acquisition module 14 is used for dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes to determine pouring layering information;
the pouring requirement obtaining module 15 of each layer is used for determining the pouring requirement of each layer according to the pouring layering information;
the monitoring requirement acquisition module 16 is configured to obtain monitoring parameters and monitoring parameter requirements of each layer according to the pouring requirements and the pouring layering information of each layer;
the monitoring data acquisition module 17 is configured to perform monitoring equipment allocation according to the monitoring parameters of each layer, generate monitoring execution information, monitor each layer, and obtain monitoring data of each layer;
the monitoring comparison result obtaining module 18 is configured to perform traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirement, and determine a monitoring comparison result;
and the parameter control module 19 is used for controlling parameters of the tunnel lining trolley based on the monitoring comparison result.
Further, the monitoring data acquisition module 17 is further configured to:
according to the pouring layered segmentation nodes, carrying out corresponding position segmentation on tunnel lining shape information and tunnel lining size, and determining tunnel size information and tunnel lining shape information corresponding to each layered;
pump pouring parameter information is obtained;
determining control parameter information of each layer according to the tunnel size information, tunnel lining shape information and pump pouring parameter information corresponding to each layer, wherein the control parameter information of each layer is used for carrying out pump operation control on each layer;
and determining pouring requirements of each layer based on the control parameter information of each layer and the tunnel size information corresponding to each layer.
Further, the monitoring data acquisition module 17 is further configured to:
image acquisition is carried out on the pouring process through image acquisition equipment, and pouring image information is obtained, wherein the pouring image information comprises pouring position coordinates and a pouring image;
extracting casting height characteristics according to the casting image, and determining casting height;
determining pouring division points according to the pouring layering information and the pouring position coordinates, and comparing the pouring heights according to the pouring division points;
judging whether the pouring height exceeds the pouring dividing point, and when the pouring height exceeds the pouring dividing point, sending early warning information and generating stop information, wherein the stop information is used for closing the pump.
Further, the monitoring data acquisition module 17 is further configured to:
the pressure detector paved by a plurality of pressure monitoring points is used for detecting the pressure of each pressure monitoring point to obtain pressure detection information;
paving coordinate information according to pressure detection points, wherein the pressure detection information is used for determining pressure distribution information;
and when the pressure distribution information does not meet the preset pressure distribution requirement, sending reminding information.
Further, the monitoring data acquisition module 17 is further configured to:
obtaining concrete temperature and concrete flow information through the flow monitor and the temperature sensor;
judging whether the concrete temperature meets the molding temperature control requirement, and sending reminding information when the concrete temperature does not meet the molding temperature control requirement;
determining concrete usage information according to the concrete flow information;
judging whether the concrete usage amount information exceeds the casting height requirement, and when the concrete usage amount information exceeds the casting height requirement, sending early warning information and generating stop information.
Further, the monitoring data acquisition module 17 is further configured to:
storing the monitoring data acquired by all monitoring devices to generate a monitoring database;
performing visualization processing on each monitoring data according to the monitoring database to generate a monitoring data visualization image;
and according to the request information of the field operator, transmitting the monitoring data set and the monitoring data visual image corresponding to the request information to the operator terminal equipment.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with the specified features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the application, and the content thus obtained falls within the scope of protection of the present application.
Claims (7)
1. An intelligent control method of a tunnel lining trolley, which is characterized by comprising the following steps:
obtaining pump interface setting information of a tunnel lining trolley;
according to the pump interface setting information, transversely dividing the pump port to determine pouring layering dividing nodes;
acquiring data of a lining wall of a tunnel to be built to obtain tunnel lining shape information and tunnel lining size;
dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes, and determining pouring layering information;
determining pouring requirements of each layer according to the pouring layering information;
according to the pouring requirements and the pouring layering information of each layer, monitoring parameters of each layer and the monitoring parameter requirements are obtained;
distributing monitoring equipment according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer, and obtaining monitoring data of each layer;
performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements, and determining a monitoring comparison result;
and carrying out parameter control on the tunnel lining trolley based on the monitoring comparison result.
2. The method of claim 1, wherein determining casting requirements for each layer based on the casting layering information comprises:
according to the pouring layered segmentation nodes, carrying out corresponding position segmentation on tunnel lining shape information and tunnel lining size, and determining tunnel size information and tunnel lining shape information corresponding to each layered;
pump pouring parameter information is obtained;
determining control parameter information of each layer according to the tunnel size information, tunnel lining shape information and pump pouring parameter information corresponding to each layer, wherein the control parameter information of each layer is used for carrying out pump operation control on each layer;
and determining pouring requirements of each layer based on the control parameter information of each layer and the tunnel size information corresponding to each layer.
3. The method of claim 1, wherein the monitoring device comprises an image acquisition device, a flow monitor, a temperature sensor, a pressure detector, the method comprising:
image acquisition is carried out on the pouring process through image acquisition equipment, and pouring image information is obtained, wherein the pouring image information comprises pouring position coordinates and a pouring image;
extracting casting height characteristics according to the casting image, and determining casting height;
determining pouring division points according to the pouring layering information and the pouring position coordinates, and comparing the pouring heights according to the pouring division points;
judging whether the pouring height exceeds the pouring dividing point, and when the pouring height exceeds the pouring dividing point, sending early warning information and generating stop information, wherein the stop information is used for closing the pump.
4. A method as claimed in claim 3, wherein the method further comprises:
the pressure detector paved by a plurality of pressure monitoring points is used for detecting the pressure of each pressure monitoring point to obtain pressure detection information;
paving coordinate information according to a pressure detector, wherein the pressure detection information is used for determining pressure distribution information;
and when the pressure distribution information does not meet the preset pressure distribution requirement, sending reminding information.
5. A method as claimed in claim 3, wherein the method further comprises:
obtaining concrete temperature and concrete flow information through the flow monitor and the temperature sensor;
judging whether the concrete temperature meets the molding temperature control requirement, and sending reminding information when the concrete temperature does not meet the molding temperature control requirement;
determining concrete usage information according to the concrete flow information;
judging whether the concrete usage amount information exceeds the casting height requirement, and when the concrete usage amount information exceeds the casting height requirement, sending early warning information and generating stop information.
6. A method as claimed in claim 3, wherein the method further comprises:
storing the monitoring data acquired by all monitoring devices to generate a monitoring database;
performing visualization processing on each monitoring data according to the monitoring database to generate a monitoring data visualization image;
and according to the request information of the field operator, transmitting the monitoring data set and the monitoring data visual image corresponding to the request information to the operator terminal equipment.
7. An intelligent control system for a tunnel lining trolley, the system comprising:
the setting information acquisition module is used for acquiring the pump interface setting information of the tunnel lining trolley;
the pouring layered segmentation node acquisition module is used for transversely segmenting the pump port according to the pump port setting information to determine pouring layered segmentation nodes;
the data acquisition module is used for acquiring data of the lining wall of the tunnel to be built to obtain tunnel lining shape information and tunnel lining size;
the pouring layering information acquisition module is used for dividing the tunnel lining shape information and the tunnel lining size according to the pouring layering dividing nodes to determine pouring layering information;
the pouring requirement acquisition module is used for determining the pouring requirements of each layer according to the pouring layering information;
the monitoring requirement acquisition module is used for acquiring monitoring parameters and monitoring parameter requirements of each layer according to the pouring requirements and the pouring layering information of each layer;
the monitoring data acquisition module is used for carrying out monitoring equipment allocation according to the monitoring parameters of each layer, generating monitoring execution information, monitoring each layer and obtaining monitoring data of each layer;
the monitoring comparison result acquisition module is used for performing traversal comparison according to the monitoring data of each layer and the corresponding monitoring parameter requirements to determine a monitoring comparison result;
and the parameter control module is used for controlling parameters of the tunnel lining trolley based on the monitoring comparison result.
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| CN117542171B (en) * | 2023-12-13 | 2024-04-30 | 中铁三局集团广东建设工程有限公司 | Data processing method and device for mud leakage alarm |
| CN117436712B (en) * | 2023-12-21 | 2024-04-12 | 山东铁鹰建设工程有限公司 | Real-time monitoring method and system for operation risk of construction hanging basket |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0460099A (en) * | 1990-06-27 | 1992-02-26 | Komatsu Ltd | Control method for concrete lining machine |
| JP2014080810A (en) * | 2012-10-17 | 2014-05-08 | Kajima Corp | Concrete placement system and its method for performance space at tunnel crest |
| CN107956490A (en) * | 2017-12-29 | 2018-04-24 | 中国铁道科学研究院铁道建筑研究所 | A kind of intelligent tunnel lining trolley |
| CN107989634A (en) * | 2017-12-29 | 2018-05-04 | 中国铁道科学研究院铁道建筑研究所 | A kind of information-based monitoring system of tunnel lining trolley concrete cast |
| CN207920623U (en) * | 2017-12-29 | 2018-09-28 | 中国铁道科学研究院铁道建筑研究所 | A kind of information-based monitoring system of tunnel lining trolley concrete cast |
| CN111365028A (en) * | 2020-03-31 | 2020-07-03 | 中铁五局集团有限公司 | Concrete monitoring method based on variable-section adjustable lining trolley |
| CN113187517A (en) * | 2021-06-21 | 2021-07-30 | 兰州交通大学 | Tunnel construction two-lining trolley informatization monitoring system |
| CN215979396U (en) * | 2021-06-21 | 2022-03-08 | 兰州交通大学 | Tunnel construction two-lining trolley informatization monitoring system |
-
2022
- 2022-10-31 CN CN202211344848.7A patent/CN115726814B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0460099A (en) * | 1990-06-27 | 1992-02-26 | Komatsu Ltd | Control method for concrete lining machine |
| JP2014080810A (en) * | 2012-10-17 | 2014-05-08 | Kajima Corp | Concrete placement system and its method for performance space at tunnel crest |
| CN107956490A (en) * | 2017-12-29 | 2018-04-24 | 中国铁道科学研究院铁道建筑研究所 | A kind of intelligent tunnel lining trolley |
| CN107989634A (en) * | 2017-12-29 | 2018-05-04 | 中国铁道科学研究院铁道建筑研究所 | A kind of information-based monitoring system of tunnel lining trolley concrete cast |
| CN207920623U (en) * | 2017-12-29 | 2018-09-28 | 中国铁道科学研究院铁道建筑研究所 | A kind of information-based monitoring system of tunnel lining trolley concrete cast |
| CN111365028A (en) * | 2020-03-31 | 2020-07-03 | 中铁五局集团有限公司 | Concrete monitoring method based on variable-section adjustable lining trolley |
| CN113187517A (en) * | 2021-06-21 | 2021-07-30 | 兰州交通大学 | Tunnel construction two-lining trolley informatization monitoring system |
| CN215979396U (en) * | 2021-06-21 | 2022-03-08 | 兰州交通大学 | Tunnel construction two-lining trolley informatization monitoring system |
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Denomination of invention: An intelligent control method and system for tunnel lining trolley Granted publication date: 20230811 Pledgee: Qilu bank Limited by Share Ltd. Tai'an branch Pledgor: SHANDONG TIEYING CONSTRUCTION ENGINEERING Co.,Ltd. Registration number: Y2024980010392 |
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