CN110359919A - A kind of shield machine construction risk prevention system method and system - Google Patents
A kind of shield machine construction risk prevention system method and system Download PDFInfo
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- CN110359919A CN110359919A CN201910679939.8A CN201910679939A CN110359919A CN 110359919 A CN110359919 A CN 110359919A CN 201910679939 A CN201910679939 A CN 201910679939A CN 110359919 A CN110359919 A CN 110359919A
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/06—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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Abstract
The invention discloses a kind of shield machine construction risk prevention system method and system, including data acquisition and transmission, big data storage, processing and analysis, risk identification and early warning.The data acquisition mainly includes machine data, fault data, guiding data, surface subsidence data, section of jurisdiction attitude data and project data；The big data storage, analysis processing include server and big data technology related software；The risk identification and early warning include the contents such as engineering construction risk prevention system, mechanical disorder Risk-warning, boring parameter early warning, quality risk prevention and control, duration risk prevention system.Shield machine construction risk prevention system method and system provided by the invention based on big data analysis, it can establish Informatization Risk prevention and control system, it effectively avoids or reduces and is lost because of risks such as equipment fault, personnel's operation errors to project bring, ensure the safe and efficient construction of shield machine.
Description
Technical field
The present invention relates to Shield Construction Technique fields, more particularly, to a kind of shield machine construction risk prevention system method and are
System.
Background technique
Capital equipment of the shield machine as underground space construction, quantity persistently increases and application field and region range are more next
It is bigger, according to statistics, nearly 1800 of all types of shield machine quantity domestic up to now.
But due to shield machine itself structure is complicated, working environment is severe, artificial incorrect decision, to evaluation of risk not
Foot, misoperation result in construction along with reasons such as the tunnels and underground engineering construction period is long, the big, complicated geologies of scale
The probability that risk occurs is larger, this brings many problems and challenge to shield machine construction risk prevention system.Shield machine once occurs
Accident, gently then influences project progress, heavy then cause casualties, economic loss and severe social influence.
Traditional shield machine construction risk management and control mode mainly relies on projects technical staff's manual type identification and pre-
It is alert, it is difficult to accomplish timeliness and accuracy, and risk factors cannot be grasped by business decision layer, influence business decision, it is complete
The needs of shield machine engineering method development are not adapted to entirely.
With internet+, the development of artificial intelligence and big data technology, establish the shield machine under a kind of Information Condition
Construction risk preventing control method, auxiliary shield machine efficiently, safe construction, be those skilled in the art's technical problem urgently to be solved.
Summary of the invention
In order to solve the above technical problems, the object of the present invention is to provide a kind of shield machine construction risk prevention system method and being
System.
The application provides a kind of shield machine construction risk prevention system method, comprising the following steps:
S1: data acquisition and transmission are periodically carried out；
S2: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
S3: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
Optionally, it is specifically included in step S2:
S21: by developing the port sokect on big data server, the interface for providing shield machine data receiver completes data
Acquisition storage；
S22: by big data flume technology, after the data received parsing, filtering invalid data, be converted into valid data to
Backstage is sent；
S23: by big data flume technology, being copied into two parts for data, and a part is importing directly into hbase database,
Another part imports in kafka data handling queues；
S24: data are obtained from the queue of kafka by spark-streaming, then read system from the database of redis
Configuration information, data are detected and are supplemented, then according to rule carry out statistics summarize；
S25: using hbase database, summarizes data after saving processing；
S26: shield machine big data is analyzed and processed by technologies such as statistical analysis, data mining, machine learning；
S27: store analysis as a result, include daily, monthly, annual and entire life same period average value, maximum value, it is minimum
Value, median, mode, core maximum, core minimum value, histogram data；
S28: the various risks early warning situation of queried for items and shield machine is obtained.
Optionally, in step S1, periodically carry out data acquisition data include machine data, fault data, guiding data,
Surface subsidence data, section of jurisdiction attitude data and project data；In step S3, prevention and control information includes real-time display engineering construction risk
Prevention and control, mechanical disorder Risk-warning, boring parameter early warning, quality risk prevention and control and duration risk prevention system.
Present invention also provides a kind of shield machine construction risk prevention system systems, comprising:
Data acquisition module: data acquisition and transmission are periodically carried out；
Data processing module: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
Risk-warning module: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
Optionally, the Risk-warning module include engineering construction risk prevention system module, mechanical disorder Risk-warning module,
Boring parameter warning module, quality risk prevention and control module and duration risk prevention system module.
Optionally, the engineering construction risk prevention system module elder generation typing construction risk source, and construction risk source is divided
Grade obtains construction risk special project counte-rplan.
Optionally, the mechanical disorder Risk-warning module setting alarm point, carries out historical failure inquiry and in real time event
Barrier display alarm.
Optionally, the boring parameter warning module setting parameter threshold value of warning, setting early warning are classified, real-time query early warning
Record carries out one-parameter early warning and scheme early warning.
Optionally, the quality risk prevention and control module carries out equipment and is oriented to posture Risk-warning, surface subsidence Risk-warning
And section of jurisdiction posture Risk-warning.
Optionally, the duration risk prevention system module compares duration construction time and construction speed duration, construction time work
When phase is greater than the construction speed duration, early warning is issued.
Technical solution of the present invention has the advantage that compared with prior art
Technical solution of the present invention knows the production factors at shield machine construction scene by automatic data collection technology
Not, it positions, track, monitoring, and by information data transmission to data center, being analyzed and processed using big data technology and depth
It excavates, finds that risk factor carries out early warning and pushed information realizes scattered engineering project wind to responsible person concerned in real time in time
Dangerous informix control, can preferably provide decision support, establish information-based shield machine construction risk prevention system system, mention
High shield machine construction risk prevention system ability, can be effectively reduced construction risk, it is great to avoid or reduce casualties, landslide etc.
Engineering accident occurs, and ensures that shield machine is safe and efficient, civilized construction.
Detailed description of the invention
The drawings are intended to provide a further understanding of the invention, and constitutes part of specification, with following tool
Body embodiment is used to explain the present invention together, but is not construed as limiting the invention.
Fig. 1 is the schematic illustration of shield machine construction risk prevention system method provided by the present invention；
Fig. 2 is the flow chart of data processing in shield machine construction risk prevention system method shown in Fig. 1.
Specific embodiment
Below in conjunction with attached drawing, detailed description of the preferred embodiments.It should be understood that this place is retouched
The specific embodiment stated is merely to illustrate and explain the present invention, and is not intended to restrict the invention.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is the schematic illustration of shield machine construction risk prevention system method provided by the present invention；
Fig. 2 is the flow chart of data processing in shield machine construction risk prevention system method shown in Fig. 1.
In a kind of specific embodiment, the present invention provides a kind of shield machine construction risk prevention system methods, including with
Lower step:
Step S1: data acquisition and transmission are periodically carried out；
Step S2: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
Step S3: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
With transmission process, data mainly include machine data, fault data, guiding data, surface subsidence for data acquisition
Data, section of jurisdiction attitude data and project data, wherein machine data, fault data, guiding data should be from project construction shield machines
PLC medium-long range acquires in real time, parses and be transmitted to big data server, surface subsidence data, section of jurisdiction attitude data and engineering number
According to can be by the regular typing of supervisory engineering staff.
Big data storage, processing carry out the collected shield machine magnanimity of institute, multidimensional, isomeric data with analytic process
Classification storage, and according to the shield-tunneling construction risk prevention system system requirements of exploitation, with Spark, Kafka, Flume, Redis,
The big datas technology such as Hbase carries out data process&analysis.
This method call big data analysis as a result, real-time display engineering construction risk prevention system, mechanical disorder Risk-warning,
The items risk prevention system information such as boring parameter early warning, quality risk prevention and control, Schedule schema prevention and control.
Specifically, being specifically included in step S2:
Step S21: by developing the port sokect on big data server, the interface for providing shield machine data receiver completes number
According to acquisition storage；
Step S22: significant figure is converted into after the data received parsing, filtering invalid data by big data flume technology
According to being sent from the background；
Step S23: being copied into two parts for data by big data flume technology, and a part is imported into hbase database,
Another part imports in kafka data handling queues；
Step S24: data are obtained from the queue of kafka by spark-streaming, then are read from the database of redis
The configuration information of system, detects data and is supplemented, and then carries out statistics according to rule and summarizes；
Step S25: using hbase database, summarizes data after saving processing；
Step S26: shield machine big data is analyzed and processed by technologies such as statistical analysis, data mining, machine learning；
Step S27: store analysis as a result, include daily, monthly, annual and entire life same period average value, maximum value, most
Small value, median, mode, core maximum, core minimum value, histogram data；
Step S28: the various risks early warning situation of queried for items and shield machine is obtained.
In step S1, the data for periodically carrying out data acquisition include that machine data, fault data, guiding data, ground are heavy
Drop data, section of jurisdiction attitude data and project data；In step S3, prevention and control information include real-time display engineering construction risk prevention system,
Mechanical disorder Risk-warning, boring parameter early warning, quality risk prevention and control and duration risk prevention system.
Technical solution of the present invention carries out the production factors at shield machine construction scene by automatic data collection technology
Identification, positioning, tracking, monitoring, and by information data transmission to data center, it is analyzed and processed using big data technology and deep
Degree excavates, and finds that risk factor carries out early warning and pushed information realizes scattered engineering project to responsible person concerned in real time in time
Risk information integrated control can preferably provide decision support, establish information-based shield machine construction risk prevention system system,
Shield machine construction risk prevention system ability is improved, construction risk can be effectively reduced, avoids or reduces the weight such as casualties, landslide
Large-engineering accident occurs, and ensures that shield machine is safe and efficient, civilized construction.
The present invention also provides a kind of shield machine construction risk prevention system systems, comprising:
Data acquisition module: data acquisition and transmission are periodically carried out；
Data processing module: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
Risk-warning module: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
Further, the Risk-warning module includes engineering construction risk prevention system module, mechanical disorder Risk-warning mould
Block, boring parameter warning module, quality risk prevention and control module and duration risk prevention system module.
Specifically, the engineering construction risk prevention system module elder generation typing construction risk source, and construction risk source is divided
Grade obtains construction risk special project counte-rplan.
Engineering construction risk prevention system module mainly include the typing of construction risk source, construction risk source grade classification, risk because
Element, construction risk special project counte-rplan upload downloading etc., and can real-time display away from the nearest risk source of shield machine and pushed information extremely
Related responsibility personnel.The module establishes perfect engineering construction risk information, realizes unified risk management and control, broken with
The quagmire done things in his own way toward projects, provides important evidence for decision.
Specifically, the mechanical disorder Risk-warning module setting alarm point, carries out historical failure inquiry and in real time event
Barrier display alarm.
Mechanical disorder Risk-warning module mainly includes alarm site setting, historical failure inquiry and on time display report
The functions such as alert are, it can be achieved that be identified mechanical disorder point, the display of failure sorted, fault message and pushed information to correlation
Person liable.The module can grasp shield machine fault condition in real time, effectively reduce equipment because disorderly closedown makes construction
At negative effect.
Specifically, the boring parameter warning module setting parameter threshold value of warning, setting early warning are classified, real-time query early warning
Record carries out one-parameter early warning and scheme early warning.
Boring parameter Risk-warning module mainly includes one-parameter early warning and scheme early warning, and there is parameter threshold value of warning to set
Set, early warning classification setting, early warning record queries and real-time early warning and pushed information to related responsibility personnel function.Wherein scheme
Early warning can realize two-parameter or multi-parameter joint association early warning.The module can monitor boring parameter situation in real time, if super
It crosses technical staff's given threshold and then carries out early warning, it is possible to prevente effectively from because of shield owner driver's artificial origin's bring risk.
Specifically, the quality risk prevention and control module, which carries out equipment, is oriented to posture Risk-warning, surface subsidence Risk-warning
And section of jurisdiction posture Risk-warning.
Quality risk prevention and control module mainly includes equipment guiding posture Risk-warning, surface subsidence Risk-warning and section of jurisdiction appearance
State Risk-warning.Wherein equipment guiding posture risk includes that guiding parameter threshold value of warning is arranged, early warning is classified setting and pre- in real time
Alert and pushed information is to related responsibility personnel, and surface subsidence risk includes monitoring point setting, threshold value of warning is arranged, early warning classification is set
It sets and real-time early warning and pushed information is to related responsibility personnel, section of jurisdiction posture Risk-warning includes monitoring point setting, threshold value of warning
Setting, early warning classification setting and real-time early warning and pushed information are to related responsibility personnel.
The module can be with relationships engineering construction qualities such as automatic real-time monitoring surface subsidence, equipment posture and section of jurisdiction postures
Data accomplish that construction quality problem is found in advance, handle in time.
Specifically, the duration risk prevention system module compares duration construction time and construction speed duration, construction time work
When phase is greater than the construction speed duration, early warning is issued.
Schedule schema prevention and control module mainly includes duration construction time and construction speed duration, is completed by comparing the two
Ratio issue early warning and pushed information to related responsibility if the ratio of duration time consumption is greater than progress completed percentage
Personnel.
The module can be consumed with real time contrast's project duration and construction speed can be to supervise project if there is lag
By improving the modes such as construction technology, responsible measures are taken in time, reach target.
Shield machine construction risk prevention system method and system provided by the present invention are described in detail above.Herein
Apply that a specific example illustrates the principle and implementation of the invention, the explanation of above example is only intended to help
Understand method and its core concept of the invention.It should be pointed out that for those skilled in the art, not taking off
, can be with several improvements and modifications are made to the present invention under the premise of from the principle of the invention, these improvement and modification also fall into this
In invention scope of protection of the claims.
Claims (10)
1. a kind of shield machine construction risk prevention system method, which comprises the following steps:
S1: data acquisition and transmission are periodically carried out；
S2: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
S3: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
2. shield machine construction risk prevention system method as described in claim 1, which is characterized in that specifically included in step S2:
S21: by developing the port sokect on big data server, the interface for providing shield machine data receiver completes data
Acquisition storage；
S22: by big data flume technology, after the data received parsing, filtering invalid data, be converted into valid data to
Backstage is sent；
S23: by big data flume technology, being copied into two parts for data, and a part is importing directly into hbase database,
Another part imports in kafka data handling queues；
S24: data are obtained from the queue of kafka by spark-streaming, then read system from the database of redis
Configuration information, data are detected and are supplemented, then according to rule carry out statistics summarize；
S25: using hbase database, summarizes data after saving processing；
S26: shield machine big data is analyzed and processed by technologies such as statistical analysis, data mining, machine learning；
S27: store analysis as a result, include daily, monthly, annual and entire life same period average value, maximum value, it is minimum
Value, median, mode, core maximum, core minimum value, histogram data；
S28: the various risks early warning situation of queried for items and shield machine is obtained.
3. shield machine construction risk prevention system method as claimed in claim 2, which is characterized in that in step S1, periodically counted
Data according to acquisition include machine data, fault data, guiding data, surface subsidence data, section of jurisdiction attitude data and engineering number
According to；In step S3, prevention and control information includes that real-time display engineering construction risk prevention system, mechanical disorder Risk-warning, boring parameter are pre-
Alert, quality risk prevention and control and duration risk prevention system.
4. a kind of shield machine construction risk prevention system system characterized by comprising
Data acquisition module: data acquisition and transmission are periodically carried out；
Data processing module: carrying out classified storage for the mass data of acquisition, carries out Data Management Analysis with big data technology；
Risk-warning module: according to big data analysis as a result, obtaining the prevention and control information of every construction risk.
5. the shield machine construction risk prevention system system as described in right wants 4, which is characterized in that the Risk-warning module includes work
Journey construction risk prevention and control module, mechanical disorder Risk-warning module, boring parameter warning module, quality risk prevention and control module and work
Phase risk prevention system module.
6. the shield machine construction risk prevention system system as described in right wants 5, which is characterized in that the engineering construction risk prevention system mould
Block elder generation typing construction risk source, and construction risk source is classified, obtain construction risk special project counte-rplan.
7. the shield machine construction risk prevention system system as described in right wants 5, which is characterized in that the mechanical disorder Risk-warning mould
Block setting alarm point, carries out historical failure inquiry and on time display alarm.
8. the shield machine construction risk prevention system system as described in right wants 5, which is characterized in that the boring parameter warning module is set
Set parameter threshold value of warning, setting early warning is classified, real-time query early warning record, progress one-parameter early warning and scheme early warning.
9. the shield machine construction risk prevention system system as described in right wants 5, which is characterized in that the quality risk prevention and control module into
Row equipment is oriented to posture Risk-warning, surface subsidence Risk-warning and section of jurisdiction posture Risk-warning.
10. the shield machine construction risk prevention system system as described in right wants 5, which is characterized in that the duration risk prevention system module
Compare duration construction time and construction speed duration, when duration construction time is greater than the construction speed duration, issues early warning.
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| CN201910679939.8A CN110359919B (en) | 2019-07-26 | 2019-07-26 | Shield tunneling machine construction risk prevention and control method and system |
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| CN201910679939.8A CN110359919B (en) | 2019-07-26 | 2019-07-26 | Shield tunneling machine construction risk prevention and control method and system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111126873A (en) * | 2019-12-30 | 2020-05-08 | 盾构及掘进技术国家重点实验室 | Shield TBM big data platform system based on Hadoop cluster architecture and construction method |
| CN111967822A (en) * | 2020-08-13 | 2020-11-20 | 中铁工程装备集团技术服务有限公司 | WeChat public number-based shield machine service platform, service method and framework |
| CN113535748A (en) * | 2021-07-02 | 2021-10-22 | 中铁十五局集团有限公司 | Shield tunneling machine model selection system and method based on historical cases |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955502A (en) * | 2014-04-24 | 2014-07-30 | 科技谷（厦门）信息技术有限公司 | Visualized on-line analytical processing (OLAP) application realizing method and system |
| CN107368501A (en) * | 2016-05-13 | 2017-11-21 | 北京京东尚科信息技术有限公司 | The processing method and processing device of data |
| CN107503757A (en) * | 2017-09-20 | 2017-12-22 | 中建交通建设集团有限公司 | A kind of shield tunnel intelligence construction accessory system and application method based on big data technology |
| CN109376194A (en) * | 2018-12-29 | 2019-02-22 | 中铁工程装备集团有限公司 | A kind of rock tunnel(ling) machine remote monitoring platform based on big data |
-
2019
- 2019-07-26 CN CN201910679939.8A patent/CN110359919B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103955502A (en) * | 2014-04-24 | 2014-07-30 | 科技谷（厦门）信息技术有限公司 | Visualized on-line analytical processing (OLAP) application realizing method and system |
| CN107368501A (en) * | 2016-05-13 | 2017-11-21 | 北京京东尚科信息技术有限公司 | The processing method and processing device of data |
| CN107503757A (en) * | 2017-09-20 | 2017-12-22 | 中建交通建设集团有限公司 | A kind of shield tunnel intelligence construction accessory system and application method based on big data technology |
| CN109376194A (en) * | 2018-12-29 | 2019-02-22 | 中铁工程装备集团有限公司 | A kind of rock tunnel(ling) machine remote monitoring platform based on big data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111126873A (en) * | 2019-12-30 | 2020-05-08 | 盾构及掘进技术国家重点实验室 | Shield TBM big data platform system based on Hadoop cluster architecture and construction method |
| CN111967822A (en) * | 2020-08-13 | 2020-11-20 | 中铁工程装备集团技术服务有限公司 | WeChat public number-based shield machine service platform, service method and framework |
| CN113535748A (en) * | 2021-07-02 | 2021-10-22 | 中铁十五局集团有限公司 | Shield tunneling machine model selection system and method based on historical cases |
| CN113535748B (en) * | 2021-07-02 | 2024-05-07 | 中铁十五局集团有限公司 | Shield tunneling machine type selection system and type selection method based on historical cases |
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| CN110359919B (en) | 2021-01-05 |
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