CN112612222A - Intelligent cloud control system in tunnel based on 5G technology - Google Patents
Intelligent cloud control system in tunnel based on 5G technology Download PDFInfo
- Publication number
- CN112612222A CN112612222A CN202011400906.4A CN202011400906A CN112612222A CN 112612222 A CN112612222 A CN 112612222A CN 202011400906 A CN202011400906 A CN 202011400906A CN 112612222 A CN112612222 A CN 112612222A
- Authority
- CN
- China
- Prior art keywords
- tunnel
- model
- data
- control
- data acquisition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 26
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims description 34
- 238000001514 detection method Methods 0.000 claims description 15
- 238000007689 inspection Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 12
- 238000004088 simulation Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 8
- 230000003068 static effect Effects 0.000 claims description 7
- 238000013480 data collection Methods 0.000 claims description 6
- 230000010365 information processing Effects 0.000 claims description 6
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000003745 diagnosis Methods 0.000 abstract description 5
- 238000012800 visualization Methods 0.000 abstract description 4
- 238000012545 processing Methods 0.000 description 9
- 238000010276 construction Methods 0.000 description 7
- 201000010099 disease Diseases 0.000 description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012351 Integrated analysis Methods 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000001931 thermography Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
- G05B19/0425—Safety, monitoring
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The invention discloses an intelligent cloud control system in a tunnel based on a 5G technology, which comprises a 5G base station arranged in the tunnel, wherein the intelligent control system comprises a data acquisition system, a cloud platform management system and a monitoring terminal; integrating the equipment of a plurality of tunnels in the same layer by using a GIS technology to realize a cascading type extensible tunnel group comprehensive cloud management and control platform; various tunnels integrated in the platform utilize a digital twin technology to realize real-time synchronization of data of each device and each component on the spot and cloud virtual devices and components under the support of a 5G network, more complete tunnel monitoring data resources are provided for tunnel service performance diagnosis, active diagnosis of key parts is carried out on the tunnel service performance through terminal control, new clues are obtained through analysis, iterative analysis and visualization are formed, and the overall management efficiency and the management level of the tunnel are improved.
Description
Technical Field
The invention relates to the technical field of management and control systems, in particular to an intelligent cloud control system in a tunnel based on a 5G technology.
Background
When a plurality of highways, particularly expressways are constructed, due to the reason of landform, when the highways are blocked by mountains, the construction of the highways is often completed by arranging tunnels in the mountains, and the construction and later management of the tunnels are difficult, and when the tunnels are managed in the later period, the conditions of cracks, bulges, water leakage and the like often appear, and if the problems occur, large accidents often occur in time of finding and solving, so that the problems are necessary to be found and monitored in real time, and in the prior art, most of the problems are found by high-speed inspection personnel, and relevant detection is carried out by naked eyes or relevant instruments and equipment, so the method has low efficiency, untimely feedback and easy omission; the existing management system in the tunnel is not timely, and corresponding remedy is usually carried out after problems occur; and single-point management and control result in increased management difficulty and poor management and control effect.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a tunnel-inside intelligent cloud control system based on a 5G technology, so as to improve the management level and the management efficiency of a tunnel.
That is to say, the main problem to be solved by the present invention is to realize remote instruction control of the acquisition terminal in the tunnel through the 5G network environment arranged in the tunnel, and the acquisition terminal can execute the acquisition command in real time and feed back the acquisition command to the monitoring terminal of the control system, and on the other hand, through real-time feedback of the acquisition data and data comprehensive analysis of the cloud platform management system, the management of the single-point tunnel is promoted to the management of the tunnel group.
In order to achieve the aim, the invention provides an intelligent cloud control system in a tunnel based on a 5G technology, which comprises a data acquisition system, a cloud platform management system and a monitoring terminal; wherein:
the data acquisition systems are distributed in tunnels on one or more roads, 5G base stations are arranged in each tunnel, a 5G network environment is formed in each tunnel through the 5G base stations, the 5G base stations are arranged at least at two ends in one tunnel, the 5G base stations are gradually added at intervals according to the length of the tunnel and 5G signals in the detection tunnel, a plurality of data acquisition systems in the same area form an area data acquisition cluster, and each data acquisition system comprises an inspection robot, a traffic camera and an electromechanical detection device in the tunnel; the inspection robot is used for collecting the structural damage condition of a main arch structure in a tunnel, the traffic camera is used for monitoring the traffic flow condition of each lane in the tunnel, and the electromechanical detection device is used for detecting the running condition of power equipment in the current range;
the cloud platform management system is in communication connection with the acquisition systems or the regional data acquisition clusters, a plurality of the data acquisition systems form a local data acquisition network, and the cloud platform management system is used for comprehensively analyzing and storing acquired data in a distributed mode;
the three-dimensional GIS simulation platform is connected with the cloud platform, deduces and analyzes static or dynamic data acquired in each tunnel, integrates the static or dynamic data into the same view, establishes a three-dimensional tunnel group model, and establishes a digital twin model by using the tunnel group model so as to realize the consistency of the real-time state of the virtual twin model and the data of the acquisition equipment in each tunnel;
the twin model establishment comprises the following steps:
s1, selecting a three-dimensional tunnel group model established by a three-dimensional GIS simulation platform;
s2, outputting the three-dimensional tunnel group model as a DAE file by using the DAE file, extracting model data in the DAE file, and storing the model data in a custom type;
s3, establishing a control model for the three-dimensional tunnel group model;
s4, realizing the motion of the vehicle in the model by coupling the control model with the data of the model data in the DAE file, and realizing the motion of the vehicle in the model according to the data so as to realize the digital twin model in the tunnel;
and S5, connecting the virtual model with the real-time data acquisition system in each tunnel through the application program, and realizing the consistency of the real-time state of the virtual model and the real-time state of the data acquisition system through the control of the control model.
Preferably, 5G communication modules are arranged in the inspection robot, the traffic camera and the electromechanical detection device in the data acquisition system.
Preferably, the communication connection includes a wired connection or a wireless connection, the wired connection is an optical fiber connection, and the wireless connection is a 5G communication connection.
Preferably, be provided with thermal imaging system, humidity transducer, temperature sensor and alarm device on the robot patrols and examines.
Preferably, the monitoring terminal comprises an information processing module and a control module, the information processing module processes the collected information and converts the information into visual data, the control module sends out a control instruction, the control instruction is sent to the corresponding data collection system through the cloud platform management system, and the data collection system executes the instruction.
The invention has the beneficial effects that: according to the invention, 5G base stations are arranged in tunnels, so that a 5G network environment is formed in the tunnels, a data acquisition system in the tunnels enables an acquisition terminal to operate and remotely control through a high-speed 5G network environment, remote instructions can be efficiently completed, and the data acquisition efficiency is improved, a regional data acquisition cluster is formed by arranging corresponding data acquisition systems in a plurality of tunnels, then tunnel control is gradually upgraded from point control (single tunnel control) to line control (tunnel joint control on the whole highway) and surface control (all tunnel joint control on a plurality of highways in a region), equipment of the plurality of tunnels is integrated in the same layer by using a GIS technology, and a cascaded extensible tunnel cluster comprehensive cloud control platform is realized; various tunnels integrated in the platform utilize a digital twin technology to realize real-time synchronization of field equipment and data of each component with cloud virtual equipment and components under the support of a 5G network. The method provides more complete tunnel monitoring data resources for tunnel service performance diagnosis, and actively diagnoses key parts of the tunnel service performance through terminal control, so that new clues are obtained through analysis, iterative analysis and visualization are formed, and the overall management efficiency and the management level of the tunnel are improved.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
Fig. 1 is a connection block diagram of a single tunnel cloud control system according to an embodiment of the present invention;
FIG. 2 is a block diagram of the digital twin configuration of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
As shown in fig. 1, an intelligent cloud control system in a tunnel based on a 5G technology includes a data acquisition system, a cloud platform management system, and a monitoring terminal; wherein:
the data acquisition systems are distributed in tunnels on one or more roads, 5G base stations are arranged in each tunnel, a 5G network environment is formed in each tunnel through the 5G base stations, the 5G base stations are arranged at least at two ends in one tunnel, the 5G base stations are gradually added at intervals according to the length of the tunnel and 5G signals in the detection tunnel, a plurality of data acquisition systems in the same area form an area data acquisition cluster, and each data acquisition system comprises an inspection robot, a traffic camera and an electromechanical detection device in the tunnel; the inspection robot is used for acquiring the structural damage condition of a main arch structure in a tunnel, the traffic camera is used for monitoring the traffic flow condition of each lane in the tunnel, and the electromechanical detection device is used for detecting the operation condition of power equipment in the current range;
the cloud platform management system is in communication connection with the acquisition systems or the regional data acquisition clusters, a plurality of the data acquisition systems form a local data acquisition network, and the cloud platform management system is used for comprehensively analyzing and storing acquired data in a distributed mode;
as shown in fig. 2, the monitoring terminal includes a three-dimensional GIS simulation platform connected to a cloud platform, where the monitoring terminal is a physical entity industrial personal computer, the three-dimensional GIS simulation platform operates in the industrial personal computer, the three-dimensional GIS simulation platform reflects static or dynamic data collected in each tunnel in the same view through the monitoring terminal, so as to facilitate comparison and check, facilitate software to perform deduction and analysis and establish a three-dimensional tunnel group model, and establish a digital twin model by using the tunnel group model, so as to achieve real-time consistency between the virtual twin model and data collected in each tunnel;
the twin model establishment comprises the following steps:
s1, selecting a three-dimensional tunnel group model established by software in a three-dimensional GIS simulation platform, establishing an internal environment, a vehicle model and a lane model in each tunnel, and a position relation model between each single tunnel in the tunnel group, and ensuring that the three-dimensional tunnel group model is consistent with an actual environment, wherein the vehicle model is classified, distinguished and modeled through color and size;
s2, outputting the three-dimensional tunnel group model as a DAE file by using file conversion software, extracting model data in the DAE file, and storing the data into a specified type for use by a subsequent program;
s3, establishing a control model for the three-dimensional tunnel group model through Matlab/SIMULINK;
s4, realizing the motion of the vehicle in the model by coupling the control model with the data of the model data in the DAE file, and realizing the motion of the vehicle in the model according to the data so as to realize the digital twin model in the tunnel;
and S5, connecting the virtual model with the data acquisition system in each tunnel through the application program, controlling the motion of the dynamic model through the control model to realize the consistency of the real-time states of the virtual model and the data acquisition system, and forming iterative analysis through the system.
In the embodiment, the 5G base station provides a 5G network environment for the tunnel, and the data acquisition terminal can execute various acquisition instructions or control instructions sent by the monitoring terminal in real time through the 5G network environment, wherein a specific example is that the inspection robot in the tunnel detects abnormal conditions in the daily inspection process, then the inspection robot transmits the acquired data to the data acquisition system in real time through the 5G network, the data acquisition system transmits the data to the cloud platform management system through an optical fiber or a high-speed 5G wireless network, the data is processed and transmitted to the monitoring terminal through the cloud platform management system, the monitoring terminal sends a further targeted detection instruction, the instruction is fed back to the inspection robot, and the inspection robot executes the instruction and feeds back again until the detection is completed and a corresponding scheme is formulated; the cloud platform management system applies multiprocessing SMP (symmetric processing) and massively parallel processing MPP (massively parallel processing), utilizes a Hadoop to construct a big data processing system of the intelligent tunnel, stores and manages the static data of the tunnel planning and construction period and the dynamic data of the construction and management period, establishes computing paradigms such as batch processing, stream processing and graph processing based on MapReduce, Spark and the like according to engineering requirements, comprises programming and data processing models such as BSP, GAS and the like, mainly comprises distributed storage, integrated analysis, computing processing and other special tools for service analysis of tunnel data, and displays the corresponding structural disease disasters in the corresponding positions in the digital twin model through a digital twin technology after the structural diseases really appear in the tunnel, thereby improving the management efficiency.
The monitoring terminal provides a high-dimensional computing algorithm and a rendering tool by utilizing cloud computing, and carries out quantitative deduction and qualitative analysis such as multidimensional slicing, dicing and rotation on static data such as tunnel construction planning and construction and dynamic data such as operation environment, structural disease monitoring and electromechanical system operation. Through multi-angle interactive visualization of tunnel service performance, not only can tunnel monitoring analysis results be displayed and fault early warning be carried out, but also active diagnosis of key parts can be carried out on the tunnel service performance in an exploratory manner, so that new clues are obtained through analysis, and iterative analysis and visualization are formed.
Preferably, the plurality of acquisition systems located on the same road or the same roads in the same area are in communication connection with the same cloud platform management system, wherein the communication connection is wired connection or high-speed wireless connection based on a 5G base station, and real-time acquisition and control of terminals in the tunnel can be guaranteed through a remote monitoring terminal through the high-speed communication connection. The tunnel control is gradually upgraded from point control (single tunnel control) to line control (tunnel joint control on the whole highway) and surface control (all tunnels on a plurality of highways in the area). The method provides more complete tunnel monitoring data resources for tunnel service performance diagnosis, and improves the road tunnel operation management level for determining the road tunnel construction and management, innovating a road tunnel service performance monitoring mode, perfecting a road tunnel operation management mode and improving the road tunnel operation management level.
Preferably, the inspection robot is provided with a thermal imager, a humidity sensor, a temperature sensor and an alarm device; through the cooperation setting of above-mentioned device for patrol and examine robot detectable all kinds of information in the tunnel, for example realize the thermal image to the detection area of certain limit through the thermal imager, make when detecting the thermal image difference of certain area and adjacent region great, just carry out detection humidity and other environmental parameter, in order to ensure whether its problem is for leaking or other problems.
Preferably, the monitoring terminal comprises an information processing module and a control module, the information processing module processes the collected information and converts the information into visual data, the control module sends out a control instruction, the control instruction is sent to the corresponding data collection system through the cloud platform management system, and the data collection system terminal executes the instruction.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (5)
1. The utility model provides an intelligence cloud control system in tunnel based on 5G technique which characterized in that: the system comprises a data acquisition system, a cloud platform management system and a monitoring terminal; wherein:
the data acquisition systems are distributed in tunnels on one or more roads, a 5G base station is arranged in each tunnel, a 5G network environment is formed in each tunnel through the 5G base station, and a plurality of data acquisition systems in the same area form an area data acquisition cluster;
the data acquisition system comprises an in-tunnel inspection robot, a traffic camera and an electromechanical detection device; the inspection robot is used for collecting the structural damage condition of a main arch structure in a tunnel, the traffic camera is used for monitoring the traffic flow condition of each lane in the tunnel, and the electromechanical detection device is used for detecting the running condition of power equipment in the current range;
the cloud platform management system is in communication connection with the acquisition system or the regional data acquisition cluster, and is used for carrying out comprehensive analysis and distributed storage on acquired data;
the monitoring terminal comprises a three-dimensional GIS simulation platform connected with a cloud platform, the three-dimensional GIS simulation platform deduces and analyzes static or dynamic data acquired in each tunnel, integrates the static or dynamic data into the same view to establish a three-dimensional tunnel group model, and establishes a digital twin model by using the tunnel group model so as to realize the consistency of the real-time state of the virtual twin model and the real-time state of data of equipment acquired in each tunnel;
the twin model establishment comprises the following steps:
s1, selecting a three-dimensional tunnel group model established by a three-dimensional GIS simulation platform;
s2, outputting the three-dimensional tunnel group model as a DAE file by using the DAE file, extracting model data in the DAE file, and storing the model data in a custom type;
s3, establishing a control model for the three-dimensional tunnel group model;
s4, realizing the motion of the vehicle in the model by coupling the control model with the data of the model data in the DAE file, and realizing the motion of the vehicle in the model according to the data so as to realize the digital twin model in the tunnel;
and S5, connecting the virtual model with the real-time data acquisition system in each tunnel through the application program, and realizing the consistency of the real-time state of the virtual model and the real-time state of the data acquisition system through the control of the control model.
2. The intelligent cloud control system in tunnel based on 5G technology of claim 1, characterized in that: and 5G communication modules are arranged in the inspection robot, the traffic camera and the electromechanical detection device in the data acquisition system.
3. The intelligent cloud control system in tunnel based on 5G technology of claim 1, characterized in that: the communication connection comprises wired connection or wireless connection, the wired connection is optical fiber connection, and the wireless connection is 5G communication connection.
4. The intelligent cloud control system in tunnel based on 5G technology of claim 1, characterized in that: be provided with thermal imager, humidity transducer, temperature sensor and alarm device on patrolling and examining the robot.
5. The intelligent cloud control system in tunnel based on 5G technology of claim 1, characterized in that: the monitoring terminal comprises an information processing module and a control module, the information processing module processes collected information and converts the information into visual data, the control module sends out a control instruction, and the control instruction is sent to the corresponding data collection system through the cloud platform management system and is executed by the data collection system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011400906.4A CN112612222A (en) | 2020-12-04 | 2020-12-04 | Intelligent cloud control system in tunnel based on 5G technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011400906.4A CN112612222A (en) | 2020-12-04 | 2020-12-04 | Intelligent cloud control system in tunnel based on 5G technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112612222A true CN112612222A (en) | 2021-04-06 |
Family
ID=75229927
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011400906.4A Pending CN112612222A (en) | 2020-12-04 | 2020-12-04 | Intelligent cloud control system in tunnel based on 5G technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112612222A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112989792A (en) * | 2021-04-25 | 2021-06-18 | 中国人民解放军国防科技大学 | Case detection method and electronic equipment |
| CN113569321A (en) * | 2021-07-30 | 2021-10-29 | 招商局重庆交通科研设计院有限公司 | Road tunnel running state simulation method based on digital twin model |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108663090A (en) * | 2018-06-29 | 2018-10-16 | 国网福建省电力有限公司厦门供电公司 | A kind of cable tunnel intelligent checking system |
| CN109458984A (en) * | 2018-12-12 | 2019-03-12 | 中交第二航务工程局有限公司 | Tunnel deformation real-time monitoring device and method |
| CN110245734A (en) * | 2019-06-26 | 2019-09-17 | 重庆交通大学 | Tunnel structure disease recognition System and method for based on rail mounted crusing robot |
| CN110568794A (en) * | 2019-09-23 | 2019-12-13 | 中铁第四勘察设计院集团有限公司 | Tunnel cloud monitoring system and method based on Internet of things |
| CN111208759A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine |
| CN111272220A (en) * | 2020-02-13 | 2020-06-12 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel state detection monitoring management system |
| CN111633644A (en) * | 2020-05-15 | 2020-09-08 | 哈尔滨工程大学 | Industrial robot digital twin system combined with intelligent vision and operation method thereof |
| CN111641674A (en) * | 2020-04-24 | 2020-09-08 | 国网河北省电力有限公司雄安新区供电公司 | Underground piping lane control wireless communication system |
| CN111950066A (en) * | 2020-08-27 | 2020-11-17 | 中国铁路设计集团有限公司 | Digital twin data driving system based on BIM and GIS technology |
| AU2020102510A4 (en) * | 2020-09-29 | 2020-11-19 | Chang, Ping DR | An Innovation of wireless sensor network and GIS integration for automated underground mine monitoring and communication system |
-
2020
- 2020-12-04 CN CN202011400906.4A patent/CN112612222A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108663090A (en) * | 2018-06-29 | 2018-10-16 | 国网福建省电力有限公司厦门供电公司 | A kind of cable tunnel intelligent checking system |
| CN109458984A (en) * | 2018-12-12 | 2019-03-12 | 中交第二航务工程局有限公司 | Tunnel deformation real-time monitoring device and method |
| CN110245734A (en) * | 2019-06-26 | 2019-09-17 | 重庆交通大学 | Tunnel structure disease recognition System and method for based on rail mounted crusing robot |
| CN110568794A (en) * | 2019-09-23 | 2019-12-13 | 中铁第四勘察设计院集团有限公司 | Tunnel cloud monitoring system and method based on Internet of things |
| CN111208759A (en) * | 2019-12-30 | 2020-05-29 | 中国矿业大学(北京) | Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine |
| CN111272220A (en) * | 2020-02-13 | 2020-06-12 | 中国铁道科学研究院集团有限公司铁道建筑研究所 | Tunnel state detection monitoring management system |
| CN111641674A (en) * | 2020-04-24 | 2020-09-08 | 国网河北省电力有限公司雄安新区供电公司 | Underground piping lane control wireless communication system |
| CN111633644A (en) * | 2020-05-15 | 2020-09-08 | 哈尔滨工程大学 | Industrial robot digital twin system combined with intelligent vision and operation method thereof |
| CN111950066A (en) * | 2020-08-27 | 2020-11-17 | 中国铁路设计集团有限公司 | Digital twin data driving system based on BIM and GIS technology |
| AU2020102510A4 (en) * | 2020-09-29 | 2020-11-19 | Chang, Ping DR | An Innovation of wireless sensor network and GIS integration for automated underground mine monitoring and communication system |
Non-Patent Citations (1)
| Title |
|---|
| 马庆禄等: "面向交通安全的隧道群监测系统", 《《计算机应用》》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112989792A (en) * | 2021-04-25 | 2021-06-18 | 中国人民解放军国防科技大学 | Case detection method and electronic equipment |
| CN112989792B (en) * | 2021-04-25 | 2024-04-16 | 中国人民解放军国防科技大学 | Case detection method and electronic equipment |
| CN113569321A (en) * | 2021-07-30 | 2021-10-29 | 招商局重庆交通科研设计院有限公司 | Road tunnel running state simulation method based on digital twin model |
| CN113569321B (en) * | 2021-07-30 | 2023-06-02 | 招商局重庆交通科研设计院有限公司 | Highway tunnel running state simulation method based on digital twin model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112381963B (en) | Intelligent power Internet of things inspection method and system based on digital twin technology | |
| CN110166535B (en) | Intelligent traffic communication system | |
| CN108574737B (en) | Agricultural automatic monitoring system and method based on cloud technology and zynq platform | |
| CN111600383A (en) | Intelligent integrated inspection device for power transmission line | |
| CN106993059A (en) | A kind of agriculture feelings monitoring system based on NB IoT | |
| CN112612222A (en) | Intelligent cloud control system in tunnel based on 5G technology | |
| CN109151072A (en) | A kind of edge calculations system based on mist node | |
| CN104616124A (en) | Real-time issuing method and system of safe and economic operation state of thermal power plant | |
| CN109084413B (en) | Air conditioner installation and debugging report generation system and method and air conditioning unit | |
| CN111142414A (en) | Intelligent power plant management and control system based on edge cloud cooperation | |
| CN104517432A (en) | Monitoring system based on unmanned aerial vehicle and wireless sensor network | |
| CN103985008A (en) | Intelligent monitoring system of city underground pipeline | |
| CN106672733A (en) | Elevator failure analysis and early warning system based on micro-cloud intelligent terminal and method thereof | |
| CN110166534B (en) | Intelligent traffic communication system, communication station and auxiliary equipment | |
| CN113793234A (en) | Wisdom garden platform based on digit twin technique | |
| CN110232089A (en) | A kind of three-dimensional city electric service command centre data visualization method | |
| CN115131171A (en) | Training method of energy storage power station operation monitoring model and monitoring system of energy storage power station | |
| CN110932405A (en) | Intelligent monitoring and analyzing system for power transformation equipment based on big data | |
| CN109038813A (en) | Power transmission line intelligent managing and control system | |
| CN201418151Y (en) | Intelligent positioning and monitoring device on the basis of wireless communication and sensor networking | |
| CN115131505A (en) | Multi-system fusion's of transformer substation panorama perception system | |
| CN106706000B (en) | Theodolite intelligent network monitoring method and system | |
| CN112866335A (en) | Monitoring system for mining area production and real-time monitoring method thereof | |
| CN109491308A (en) | A kind of wind-tunnel group collecting method and its device based on isolation coupling | |
| CN112947364A (en) | System and method for early warning of equipment faults of power distribution station based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210406 |