CN110359919B - Shield tunneling machine construction risk prevention and control method and system - Google Patents
Shield tunneling machine construction risk prevention and control method and system Download PDFInfo
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- CN110359919B CN110359919B CN201910679939.8A CN201910679939A CN110359919B CN 110359919 B CN110359919 B CN 110359919B CN 201910679939 A CN201910679939 A CN 201910679939A CN 110359919 B CN110359919 B CN 110359919B
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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
Abstract
The invention discloses a shield tunneling machine construction risk prevention and control method and a shield tunneling machine construction risk prevention and control system. The data acquisition mainly comprises machine data, fault data, guiding data, ground settlement data, segment attitude data and engineering data; the big data storage and analysis processing comprises a server and big data technology related software; the risk identification and early warning comprise engineering construction risk prevention and control, machine fault risk early warning, tunneling parameter early warning, quality risk prevention and control, construction period risk prevention and control and the like. The shield machine construction risk prevention and control method and system based on big data analysis can establish an informatization risk prevention and control system, effectively avoid or reduce the loss of projects caused by risks such as equipment faults, personnel misoperation and the like, and guarantee the safe and efficient construction of the shield machine.
Description
Technical Field
The invention relates to the technical field of shield construction, in particular to a shield machine construction risk prevention and control method and a shield machine construction risk prevention and control system.
Background
The shield machine is used as main equipment for underground space construction, the number of the shield machines is continuously increased, the application field and the region extent are increasingly large, and according to statistics, the number of the shield machines in China is nearly 1800.
However, due to the fact that the shield machine is complex in structure, severe in working environment, wrong in artificial decision, insufficient in risk estimation and improper in operation, and due to the fact that the construction period of the tunnel and underground engineering is long, the scale is large, the geology is complex and the like, the probability of risk occurrence in construction is high, and a lot of problems and challenges are brought to shield machine construction risk prevention and control. Once the shield machine has an accident, the shield machine will influence the progress of the project, and will cause casualties, economic losses and bad social influences.
The traditional shield machine construction risk management and control mode mainly depends on manual mode identification and early warning of technical personnel of each project, timeliness and accuracy are difficult to achieve, risk factors cannot be mastered by an enterprise decision layer, enterprise decision is influenced, and the requirement for development of a shield machine method cannot be met completely.
With the development of internet +, artificial intelligence and big data technology, a shield machine construction risk prevention and control method under an informatization condition is established to assist the shield machine in efficient and safe construction, which is a technical problem urgently needed to be solved by technical personnel in the field.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a shield tunneling machine construction risk prevention and control method and a shield tunneling machine construction risk prevention and control system.
The application provides a shield machine construction risk prevention and control method, which comprises the following steps:
s1: data acquisition and transmission are carried out regularly;
s2: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology;
s3: and obtaining prevention and control information of each construction risk according to the result of big data analysis.
Optionally, step S2 specifically includes:
s21: a sokent port is developed on a big data server, and an interface for receiving data of the shield tunneling machine is provided to complete data acquisition and storage;
s22: analyzing and filtering invalid data by a big data flash technology, converting the received data into valid data, and sending the valid data to a background;
s23: copying the data into two parts by a big data flash technology, wherein one part is directly led into an hbase database, and the other part is led into a kafka data processing queue;
s24: acquiring data from the kafka queue through spark-streaming, reading configuration information of a system from a database of redis, detecting and supplementing the data, and then carrying out statistical summary according to rules;
s25: a hbase database is adopted to store the processed summarized data;
s26: analyzing and processing the big data of the shield machine by technologies such as statistical analysis, data mining, machine learning and the like;
s27: storing the analysis results, including daily, monthly, yearly and whole life cycle averages, maximums, minimums, medians, modes, core maximums, core minimums, histogram data;
s28: and obtaining various risk early warning conditions of the query items and the shield machine.
Optionally, in step S1, the data acquired periodically includes machine data, fault data, guidance data, ground settlement data, segment attitude data, and engineering data; in step S3, the prevention and control information includes real-time display of engineering construction risk prevention and control, machine fault risk early warning, tunneling parameter early warning, quality risk prevention and control, and construction period risk prevention and control.
The application also provides a shield constructs quick-witted construction risk prevention and control system, includes:
a data acquisition module: data acquisition and transmission are carried out regularly;
a data processing module: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology;
risk early warning module: and obtaining prevention and control information of each construction risk according to the result of big data analysis.
Optionally, the risk early warning module includes an engineering construction risk prevention and control module, a machine fault risk early warning module, a tunneling parameter early warning module, a quality risk prevention and control module, and a construction period risk prevention and control module.
Optionally, the engineering construction risk prevention and control module firstly inputs a construction risk source, and classifies the construction risk source to obtain a construction risk special item corresponding scheme.
Optionally, the machine fault risk early warning module sets an alarm point location, and performs historical fault inquiry and real-time fault display alarm.
Optionally, the tunneling parameter early warning module sets a parameter early warning threshold value, sets early warning classification, inquires early warning records in real time, and performs single-parameter early warning and scheme early warning.
Optionally, the quality risk prevention and control module performs equipment guiding posture risk early warning, ground settlement risk early warning and segment posture risk early warning.
Optionally, the construction period risk prevention and control module compares the construction time period with the construction progress period, and sends out an early warning when the construction time period is greater than the construction progress period.
Compared with the prior art, the technical scheme of the invention has the following advantages:
according to the technical scheme, production elements of a shield machine construction site are identified, positioned, tracked and monitored through an automatic data acquisition technology, information data are transmitted to a data center, a big data technology is used for analysis, processing and deep excavation, danger factors are found in time, early warning is carried out, information is pushed to relevant responsible persons in real time, comprehensive management and control of risk information of scattered engineering projects are achieved, decision support can be provided better, an information shield machine construction risk prevention and control system is established, shield machine construction risk prevention and control capacity is improved, construction risks can be effectively reduced, serious engineering accidents such as casualties and collapse are avoided or reduced, and safe, efficient and civilized construction of the shield machine is guaranteed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a schematic diagram illustrating a method for preventing and controlling risk in shield machine construction according to the present invention;
fig. 2 is a flow chart of data processing in the shield machine construction risk prevention and control method shown in fig. 1.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Referring to fig. 1 and 2, fig. 1 is a schematic diagram illustrating a method for preventing and controlling a risk in a shield tunneling machine construction according to the present invention; fig. 2 is a flow chart of data processing in the shield machine construction risk prevention and control method shown in fig. 1.
In a specific implementation mode, the invention provides a shield tunneling machine construction risk prevention and control method, which comprises the following steps:
step S1: data acquisition and transmission are carried out regularly;
step S2: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology;
step S3: and obtaining prevention and control information of each construction risk according to the result of big data analysis.
In the data acquisition and transmission process, the data mainly comprises machine data, fault data, guidance data, ground settlement data, segment attitude data and engineering data, wherein the machine data, the fault data and the guidance data are acquired, analyzed and transmitted to a big data server from a project construction shield tunneling machine PLC in a remote real-time manner, and the ground settlement data, the segment attitude data and the engineering data can be recorded by technical management personnel at regular intervals.
In the process of big data storage, processing and analysis, classifying and storing the acquired massive, multidimensional and heterogeneous data of the shield machine, and processing and analyzing the data by using big data technologies such as Spark, Kafka, Flume, Redis, Hbase and the like according to the requirements of a developed shield construction risk prevention and control system.
The method calls the result of big data analysis, and displays various risk prevention and control information such as engineering construction risk prevention and control, machine fault risk early warning, tunneling parameter early warning, quality risk prevention and control, progress risk prevention and control and the like in real time.
Specifically, step S2 specifically includes:
step S21: a sokent port is developed on a big data server, and an interface for receiving data of the shield tunneling machine is provided to complete data acquisition and storage;
step S22: analyzing and filtering invalid data by a big data flash technology, converting the received data into valid data, and sending the valid data to a background;
step S23: data are copied into two parts through a big data flash technology, one part is led into an hbase database, and the other part is led into a kafka data processing queue;
step S24: acquiring data from the kafka queue through spark-streaming, reading configuration information of a system from a database of redis, detecting and supplementing the data, and then carrying out statistical summary according to rules;
step S25: a hbase database is adopted to store the processed summarized data;
step S26: analyzing and processing the big data of the shield machine by technologies such as statistical analysis, data mining, machine learning and the like;
step S27: storing the analysis results, including daily, monthly, yearly and whole life cycle averages, maximums, minimums, medians, modes, core maximums, core minimums, histogram data;
step S28: and obtaining various risk early warning conditions of the query items and the shield machine.
In step S1, the data acquired periodically includes machine data, fault data, guidance data, ground settlement data, segment attitude data, and engineering data; in step S3, the prevention and control information includes real-time display of engineering construction risk prevention and control, machine fault risk early warning, tunneling parameter early warning, quality risk prevention and control, and construction period risk prevention and control.
According to the technical scheme, production elements of a shield machine construction site are identified, positioned, tracked and monitored through an automatic data acquisition technology, information data are transmitted to a data center, a big data technology is used for analysis, processing and deep excavation, danger factors are found in time, early warning is carried out, information is pushed to relevant responsible persons in real time, comprehensive management and control of risk information of scattered engineering projects are achieved, decision support can be provided better, an information shield machine construction risk prevention and control system is established, shield machine construction risk prevention and control capacity is improved, construction risks can be effectively reduced, serious engineering accidents such as casualties and collapse are avoided or reduced, and safe, efficient and civilized construction of the shield machine is guaranteed.
The invention also provides a shield machine construction risk prevention and control system, which comprises:
a data acquisition module: data acquisition and transmission are carried out regularly;
a data processing module: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology;
risk early warning module: and obtaining prevention and control information of each construction risk according to the result of big data analysis.
Furthermore, the risk early warning module comprises an engineering construction risk prevention and control module, a machine fault risk early warning module, a tunneling parameter early warning module, a quality risk prevention and control module and a construction period risk prevention and control module.
Specifically, the engineering construction risk prevention and control module firstly inputs a construction risk source, and classifies the construction risk source to obtain a construction risk special item corresponding scheme.
The engineering construction risk prevention and control module mainly comprises construction risk source input, construction risk source grade classification, risk factors, construction risk special item coping schemes, uploading and downloading and the like, can display the nearest risk source to the shield machine in real time and can push information to related responsible personnel. The module establishes perfect engineering construction risk information, realizes unified risk management and control, breaks through the dilemma that each project is in the government respectively in the past, and provides important basis for decision making.
Specifically, the machine fault risk early warning module sets an alarm point position, and performs historical fault inquiry and real-time fault display alarm.
The machine fault risk early warning module mainly comprises functions of alarm point location setting, historical fault inquiry, real-time fault display alarm and the like, and can realize identification, fault classification, fault information display and information push of machine fault point locations to related responsible personnel. The module can master the fault condition of the shield machine in real time, and effectively reduces the negative influence of equipment shutdown due to faults on construction.
Specifically, the tunneling parameter early warning module sets a parameter early warning threshold value, sets early warning classification, inquires early warning records in real time, and performs single-parameter early warning and scheme early warning.
The tunneling parameter risk early warning module mainly comprises single-parameter early warning and scheme early warning, and has the functions of parameter early warning threshold setting, early warning grading setting, early warning record inquiry, real-time early warning and information pushing to related responsible personnel. The scheme early warning can realize the joint association early warning of double parameters or multiple parameters. The module can monitor the condition of the tunneling parameters in real time, and can perform early warning if the condition exceeds a threshold set by a technician, so that the risk caused by the man-made reason of a main driver of the shield tunneling machine can be effectively avoided.
Specifically, the quality risk prevention and control module performs equipment guiding posture risk early warning, ground settlement risk early warning and segment posture risk early warning.
The quality risk prevention and control module mainly comprises equipment guiding posture risk early warning, ground settlement risk early warning and segment posture risk early warning. The equipment guiding posture risk comprises guiding parameter early warning threshold value setting, early warning grading setting, real-time early warning and information pushing to related responsible persons, the ground settlement risk comprises monitoring point setting, early warning threshold value setting, early warning grading setting, real-time early warning and information pushing to related responsible persons, and the segment posture risk early warning comprises monitoring point setting, early warning threshold value setting, early warning grading setting, real-time early warning and information pushing to related responsible persons.
The module can automatically monitor data of construction quality of the engineering in relation to ground settlement, equipment posture, segment posture and the like in real time, and can find the construction quality problem in advance and process the construction quality problem in time.
Specifically, the construction period risk prevention and control module compares the construction time period with the construction progress period, and sends out an early warning when the construction time period is greater than the construction progress period.
The progress risk prevention and control module mainly comprises a construction time construction period and a construction progress construction period, and by comparing the completed proportion of the construction time construction period and the construction progress construction period, if the consumed proportion of the construction time construction period is greater than the progress completion proportion, an early warning is sent out and information is pushed to related responsible personnel.
The module can compare the construction period consumption and the construction progress of a project in real time, and if the delay occurs, the project can be supervised and urged to adopt reliable measures in time by improving the construction process and other modes, so as to achieve the expected target.
The shield machine construction risk prevention and control method and the shield machine construction risk prevention and control system provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (8)
1. A shield machine construction risk prevention and control method is characterized by comprising the following steps:
s1: data acquisition and transmission are carried out regularly; the data which are periodically acquired comprise machine data, fault data, guiding data, ground settlement data, segment attitude data and engineering data;
s2: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology; the method comprises the following specific steps: s21: a sokent port is developed on a big data server, and an interface for receiving data of the shield tunneling machine is provided to complete data acquisition and storage; s22: analyzing and filtering invalid data by a big data flash technology, converting the received data into valid data, and sending the valid data to a background; s23: copying the data into two parts by a big data flash technology, wherein one part is directly led into an hbase database, and the other part is led into a kafka data processing queue; s24: acquiring data from the kafka queue through spark-streaming, reading configuration information of a system from a database of redis, detecting and supplementing the data, and then carrying out statistical summary according to rules; s25: a hbase database is adopted to store the processed summarized data; s26: analyzing and processing the big data of the shield machine by statistical analysis, data mining and machine learning technologies; s27: storing the analysis results, including daily, monthly, yearly and whole life cycle averages, maximums, minimums, medians, modes, core maximums, core minimums, histogram data; s28: obtaining inquiry items and various risk early warning conditions of the shield machine;
s3: according to the result of big data analysis, obtaining prevention and control information of each construction risk; the prevention and control information comprises real-time display of engineering construction risk prevention and control, machine fault risk early warning, tunneling parameter early warning, quality risk prevention and control and construction period risk prevention and control.
2. A shield machine construction risk prevention and control system applied to the shield machine construction risk prevention and control method according to claim 1, comprising: a data acquisition module: data acquisition and transmission are carried out regularly; a data processing module: storing a large amount of collected data in a classified manner, and processing and analyzing the data by using a big data technology; risk early warning module: and obtaining prevention and control information of each construction risk according to the result of big data analysis.
3. The shield machine construction risk prevention and control system of claim 2, wherein the risk early warning module comprises an engineering construction risk prevention and control module, a machine failure risk early warning module, a tunneling parameter early warning module, a quality risk prevention and control module, and a construction period risk prevention and control module.
4. The shield machine construction risk prevention and control system of claim 3, wherein the engineering construction risk prevention and control module first inputs a construction risk source, and classifies the construction risk source to obtain a construction risk special item corresponding scheme.
5. The shield machine construction risk prevention and control system of claim 3, wherein the machine failure risk early warning module sets an alarm point location for historical failure inquiry and real-time failure display alarm.
6. The shield machine construction risk prevention and control system of claim 3, wherein the tunneling parameter early warning module sets a parameter early warning threshold, sets early warning classification, queries early warning records in real time, and performs single-parameter early warning and scheme early warning.
7. The shield machine construction risk prevention and control system of claim 3, wherein the quality risk prevention and control module performs equipment guiding posture risk early warning, ground settlement risk early warning and segment posture risk early warning.
8. The shield tunneling machine construction risk prevention and control system of claim 3, wherein the construction period risk prevention and control module compares a construction time period with a construction progress period, and when the construction time period is greater than the construction progress period, an early warning is given.
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| CN107503757B (en) * | 2017-09-20 | 2019-04-05 | 中建交通建设集团有限公司 | A kind of shield tunnel intelligence construction auxiliary system and application method based on big data technology |
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Effective date of registration: 20230619 Address after: 510000 Guangdong Guangzhou Nansha District Pearl River Bay starting area, industrial four road west side 2. Patentee after: CHINA RAILWAY TUNNEL GROUP Co.,Ltd. Patentee after: STATE KEY LABORATORY OF SHIELD MACHINE AND BORING TECHNOLOGY Patentee after: Guangdong Pearl River Delta Intercity Rail Transit Co.,Ltd. Address before: 510000 Guangdong Guangzhou Nansha District Pearl River Bay starting area, industrial four road west side 2. Patentee before: CHINA RAILWAY TUNNEL GROUP Co.,Ltd. Patentee before: STATE KEY LABORATORY OF SHIELD MACHINE AND BORING TECHNOLOGY |