CN113947333A - Wisdom subway red line protection management system based on multisource information fusion technique - Google Patents

Wisdom subway red line protection management system based on multisource information fusion technique Download PDF

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CN113947333A
CN113947333A CN202111331963.6A CN202111331963A CN113947333A CN 113947333 A CN113947333 A CN 113947333A CN 202111331963 A CN202111331963 A CN 202111331963A CN 113947333 A CN113947333 A CN 113947333A
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information
subway
external operation
protection
warning information
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CN113947333B (en
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张存
张美琴
青舟
刘刚
杨喆
唐志旭
王震宇
王怀东
张金伟
黄波
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China Railway Liuyuan Group Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning, or like safety means along the route or between vehicles or vehicle trains
    • B61L23/06Control, warning, or like safety means along the route or between vehicles or vehicle trains for warning men working on the route
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction
    • G06Q50/40
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models

Abstract

The invention provides an intelligent subway red line protection management system based on a multi-source information fusion technology, which comprises the following steps: inputting daily work information of subway protection work and a BIM model around the subway line into a system, and managing and fusing the daily work information and the BIM model through a unified coding standard; analyzing the influence level of the external operation project based on the fused multi-source information; inputting the patrol early-warning information and the monitoring early-warning information of the external operation project into a system, and associating the patrol early-warning information and the monitoring early-warning information through unified coding according to the patrol position and the associated BIM; and providing intelligent decision to assist subway protection personnel in handling the patrol early warning information and the monitoring early warning information. According to the invention, the BIM visualization characteristics are fully combined, the subway structure, the routing inspection information, the detection information, the disease information and the external project information are related by taking a GIS as a framework, so that information isolated islands are avoided, and assistance is provided for subway protection and subway safe operation.

Description

Wisdom subway red line protection management system based on multisource information fusion technique
Technical Field
The invention belongs to the technical field of subway operation and maintenance safety risk management, and particularly relates to an intelligent subway red line protection management system based on a multi-source information fusion technology.
Background
With the acceleration of the urbanization process, a large number of new projects are carried on the periphery of the subway, so that the damage of subway facilities and even the stop of trains are frequent, and the railway operation safety is seriously threatened. In the traditional subway protection process, a large amount of manpower and material resources are required to be input for daily supervision, information islands, inaccurate and untimely risk judgment, non-visual command and scheduling and unreasonable quality inspection are caused by artificial management in the execution process, so that 'two sheets' are used for subway protection and field management, and various safety accidents and quality hidden dangers occur frequently. With the gradual maturity of software and hardware conditions, the three-dimensional visualization effect brought by the BIM technology greatly reduces the management difficulty, improves the management efficiency and improves the management quality. Therefore, two-dimensional to three-dimensional digital management upgrading has become a necessary trend.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides an intelligent subway red line protection management system based on a multi-source information fusion technology, which fully combines the visualization characteristic of BIM, associates the subway structure, routing inspection information, detection information, disease information and external item information by taking GIS as a framework, avoids information isolated island, and provides assistance for subway protection and subway safe operation.
The technical scheme adopted by the invention is as follows: the utility model provides an wisdom subway red line protection management system based on multisource information fusion technique, includes following step:
s100: inputting daily work information of subway protection work and a BIM model around the subway line into a system, and managing and fusing the daily work information and the BIM model through a unified coding standard;
the daily work information comprises the national standard of subway protection, the local standard of subway protection, the item establishment examination information of external operation projects, daily monitoring information, daily manual inspection information and video monitoring information. Daily work information is input into the system in a mode of importing and manually filling. The national standard of subway protection and the local standard of subway protection are modeled in a formula mode in the system, and the influence level, the judgment standard, the routing inspection item and the monitoring type corresponding to the influence level are parameterized in indexes.
The BIM model comprises a surface building/structure model, an underground pipeline model, a peripheral geological body model and an interval tunnel model which are arranged on the periphery of the subway line. BIM models in different formats are converted into a unified format through a WebGL-based conversion technology and are imported into a system;
s200: analyzing the influence level of the external operation project based on the fused multi-source information;
automatically carrying out integrity check on the item setting examination information of the external operation project;
performing spatial analysis calculation on the red line protection area along the current subway line based on the fused multi-source information to obtain a BIM (building information modeling) model of the red line protection area of the current subway line, and displaying the BIM model in combination with a GIS (geographic information system) image map;
performing Boolean operation on the BIM model of the external operation item and the BIM model of the red line protection area, judging whether the BIM model of the external operation item is in the red line protection area through line withdrawal analysis, judging the influence level by combining the parameterized and formulated national standard of subway protection and the standard of a subway protection place in a system, associating the judged influence level with the BIM model of the external operation item through a uniform coding standard,
s300: the patrol early-warning information and the monitoring early-warning information generated in the daily safety monitoring of the external operation project are input into the system and are associated through unified coding according to the patrol position and the associated BIM model; the polling items and the monitoring types of daily safety monitoring of the external operation items correspond to the influence levels of the external operation items;
s400: the intelligent decision-making is provided to assist subway protection personnel in handling the patrol early warning information and the monitoring early warning information, and the steps are as follows:
s401: the system automatically pushes the service attribute and the spatial topology attribute of a three-dimensional BIM model related to routing inspection early warning information and monitoring early warning information and the service information and the standing information of an external operation project from a disposal scheme library to subway protection personnel according to the uniform coding association;
s402: the system selects a conventional disposal scheme related to the inspection early warning information and the monitoring early warning information which need to be disposed from a disposal scheme library according to an AI algorithm and big data analysis, and automatically pushes the routine disposal scheme to subway protection personnel;
the subway protection personnel input the disposal information by evaluating the disposal effect, the system records the information, selects a scheme with excellent disposal effect and supplements the scheme into the disposal scheme library.
Further, in step S300, the inspection early-warning information is information generated during manual inspection, and the monitoring early-warning information is video monitoring information.
Further, in step S401, when the patrol inspection early warning information relates to a plurality of external operation items, the system also automatically pushes priorities of different external operation items under the same influence level to subway protection personnel.
Further, the priority of the external operation project is obtained by scoring and evaluating the influence degree of the external operation project based on the BP neural network and the cosine similarity. The method mainly comprises the steps of keyword selection, text information processing, neural network training, neural network realization and similarity calculation.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention combines the important and difficult points of various subway protection risk sources, complex forms, low degree of association between two-dimensional data and a three-dimensional model and the like, comprehensively considers the aspects of structure, application and the like, adopts a unified coding system of a subway protection BIM model to solve the information bottleneck, develops a protection management system with multi-source information fusion and fitting with actual project production based on the information bottleneck, realizes the three-dimensional visual display of subway protection, and solves the problem of 'two sheets' of subway protection and field management.
2. Based on multi-source information fusion, a series of spatial analysis in the subway protection process is realized through WebGL and a big data cloud computing technology, safety analysis in a red line protection area is intuitively and effectively supported, the work efficiency of subway protection is improved, and the risk of normal operation of the subway caused by external operation project construction is reduced.
3. According to the invention, related indexes such as national standards and local standards of subway protection are parameterized, and the influence level of external projects is further refined through AI intelligent analysis, so that support is provided for item establishment examination of external projects and daily routing inspection of subway protection, and the cost of daily subway protection is greatly reduced.
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FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides an intelligent subway red line protection management system based on a multi-source information fusion technology, as shown in fig. 1, the intelligent subway red line protection management system comprises the following steps:
s100: inputting daily work information of subway protection work and a BIM model around the subway line into a system, and managing and fusing the daily work information and the BIM model through a unified coding standard;
the daily work information comprises the national standard of subway protection, the local standard of subway protection, the item establishment examination information of external operation projects, daily monitoring information, daily manual inspection information and video monitoring information. Daily work information is input into the system in a mode of importing and manually filling. The national standard of subway protection and the local standard of subway protection are modeled in a formula mode in the system, the influence level is corresponding to the judgment standard, the routing inspection item and the monitoring type, and index parameterization is carried out. The national standard of subway protection is shown in tables 1-3, and the local standard of subway protection is shown in tables 4-5.
TABLE 1 external work item impact rankings
Figure BDA0003349340270000041
Note: the default surrounding rock grade in the table is IV-VI grade; the grade of the surrounding rock is I-III, which can be reduced by one grade; if surrounding rocks around the subway structure belong to a soft soil layer (below VI level) or a soft subnatant layer exists, the influence level is improved by one level.
TABLE 2 monitoring items
Figure BDA0003349340270000042
Note: "inside" refers to the urban rail transit structure monitoring object; "external" means the area of external work influence
TABLE 3 control management value (m) of external work item clear distance
Figure BDA0003349340270000051
Note: 1, indicating the horizontal projection clear distance between external operation and the outer edge line of the urban rail transit structure;
2 when the grade of the surrounding rock is I-III, the clear distance control management value in the table is properly adjusted by combining with local engineering experience.
TABLE 4 determination of proximity
Figure BDA0003349340270000052
Note: h is the excavation depth of the underground structure foundation pit by open excavation and cover excavation methods; w is the tunnel cave span of the subway structure by the mining method; and D is the outer diameter of the tunnel of the shield subway structure.
TABLE 5 external work item work affected partition
Figure BDA0003349340270000053
Figure BDA0003349340270000061
Note: h1 is the buried depth of the bottom plate or the excavation depth of the foundation pit in open cut and cover cut method external repair operation; h2 is the buried depth of the bottom of the external operation tunnel of the mining method; and b is the outer diameter of the tunnel for external operation of the shield method.
The BIM model is divided into a current BIM model of the periphery of the subway line and an external operation project BIM model, and specifically comprises a surface building/structure model, an underground pipeline model, a periphery geological body model and an interval tunnel model of the periphery of the subway line. BIM models in different formats are converted into a uniform format through a WebGL-based conversion technology and are imported into a system.
S200: analyzing the influence level of the external operation project based on the fused multi-source information;
automatically carrying out integrity check on the item setting examination information of the external operation project; for example: whether various procedures of external operation projects are complete, whether a construction party has corresponding qualification, whether the early-stage monitoring measurement data is smaller than a limit value, whether a supervision unit is matched in place, and the like.
Performing spatial analysis calculation on the red line protection area along the current subway line based on the fused multi-source information to obtain a BIM (building information modeling) model of the red line protection area of the current subway line, and displaying the BIM model in combination with a GIS (geographic information system) image map; marking influence grade areas of all levels in the BIM;
performing Boolean operation on the BIM model of the external operation item and the BIM model of the red line protection area, judging whether the BIM model of the external operation item is in the red line protection area through line withdrawal analysis, judging the influence level by combining the parameterized and formulated national standard of subway protection and the local standard of subway protection in the system, and associating the judged influence level with the BIM model of the external operation item through a uniform coding standard. The subway protection personnel can conveniently carry out project approval examination and approval of the external operation project according to the influence level of the external operation project and other basic information input into the platform, and integral automatic preliminary examination evaluation and decision support are realized.
S300: after the external operation project is established, the subway protection personnel performs daily safety monitoring according to the specific influence level determined in the step S200 of the external operation project, and the patrol project and the monitoring type corresponding to the influence level. The subway protection personnel are patrol and early-warning information and monitoring and early-warning information generated in daily safety monitoring of external operation projects, the patrol and early-warning information is information generated in manual patrol, and the monitoring and early-warning information is video monitoring information. And in the system for inputting the patrol early-warning information and the monitoring early-warning information, the system associates through unified coding according to the patrol position and the associated BIM model.
S400: when the subway protection personnel deal with the patrol early warning information and the monitoring early warning information, the system provides intelligent decision-making to assist the subway protection personnel in dealing with the early warning information, and the specific steps are as follows:
s401: the system automatically pushes the service attribute and the space topology attribute of the three-dimensional BIM model related to the routing inspection early warning information and the monitoring early warning information and the service information and the standing information of the external operation project from the disposal scheme library according to the unified coding association, so that the subway protection personnel can conveniently perform comprehensive analysis and judgment on the early warning information.
Subway protection personnel need arrange in order the record of patrolling and examining every half month or a month, look for the outside project that influences the subway operation the biggest, priority is the highest. Although a general level of influence can be assigned according to the specifications, it is still necessary to differentiate the degree of influence between different items at the same level of influence. Under the condition, the system automatically pushes the priorities of different external operation projects under the same influence level to subway protection personnel.
The patrol early-warning information usually relates to a plurality of external operation items, and the system also automatically pushes the priorities of different external operation items under the same influence level to subway protection personnel. The priority of the external operation project is obtained by scoring and evaluating the influence degree of the external operation project based on BP neural network and cosine similarity of the system and combining a large amount of existing inspection work accessory information and judgment experience of subway protection workers in daily work. The method mainly comprises the steps of keyword selection, text information processing, neural network training, neural network realization and similarity calculation.
The method comprises the following specific steps:
1. and (3) keyword selection: and determining keywords in the routing inspection early warning information, wherein the keywords are short sentences, fixed expressions or words which frequently appear in the routing inspection early warning information and are very important for grading the influence level of the external operation project.
2. And (3) processing text information: performing word segmentation operation on the patrol early warning information, and searching keyword information of each piece of patrol early warning information by adopting a character string comparison and word information repetition tool;
3. training a neural network: each patrol early warning message can form a patrol index vector, and the neural network aims to judge the influence level corresponding to the vector through learning after inputting the patrol index vectors.
4. The neural network is realized as follows: the TensorFlow is adopted for realizing the neural network, is an artificial learning class library provided by Google, is very good in bottom layer encapsulation, provides various neural network learning models which are commonly used and mature at present, and enables a user to build a common training model only by determining a training mode to be selected, input and output vectors and an excitation function in the model without spending too much time on the aspect of details built by the neural network.
Neural network training has two benefits. Firstly, the influence level value of a certain external operation project can be clearly known; and secondly, the reasonable weight values among all items in the routing inspection vector are known through the adjustment of the weight in the training process.
5. And (3) similarity calculation: through continuous training of the neural network, each appropriate weighted value in the input patrol vector is obtained, and meanwhile, the probability value of each influence level can be given to an external operation project with the influence level determined. The priority scoring of the subway protection patrol records can be realized by combining the information.
The priorities can be ranked, and then external operation projects meeting the score limit are selected for inspection and inspection according to the actual needs of subway protection work.
S402: the system selects a conventional disposal scheme related to the inspection early warning information and the monitoring early warning information which need to be disposed from a disposal scheme library according to an AI algorithm and big data analysis, and automatically pushes the routine disposal scheme to subway protection personnel; after the subway protection personnel can consult, a disposal scheme of the early warning information is formed.
The subway protection personnel evaluate the treatment effect, input treatment information, record the information by the system, select a scheme with excellent treatment effect, and supplement the scheme into the treatment scheme library to provide scheme support for subsequent early warning treatment.
The present invention has been described in detail with reference to the embodiments, but the description is only illustrative of the present invention and should not be construed as limiting the scope of the present invention. The scope of the invention is defined by the claims. The technical solutions of the present invention or those skilled in the art, based on the teaching of the technical solutions of the present invention, should be considered to be within the scope of the present invention, and all equivalent changes and modifications made within the scope of the present invention or equivalent technical solutions designed to achieve the above technical effects are also within the scope of the present invention.

Claims (4)

1. The utility model provides an wisdom subway red line protection management system based on multisource information fusion technique which characterized in that: the method comprises the following steps:
s100: inputting daily work information of subway protection work and a BIM model around the subway line into a system, and managing and fusing the daily work information and the BIM model through a unified coding standard;
the daily work information comprises a subway protection national standard, a subway protection local standard, external operation project item establishment examination information, daily monitoring information, daily manual inspection information and video monitoring information; carrying out formulaic modeling on a subway protection national standard and a subway protection local standard in the system, and carrying out index parameterization on the influence level and a judgment standard, a routing inspection item and a monitoring type corresponding to the influence level;
the BIM model comprises a surface building/structure model, an underground pipeline model, a peripheral geological body model and an interval tunnel model which are arranged along the subway, and BIM models in different formats are converted into a uniform format through a WebGL-based conversion technology;
s200: analyzing the influence level of the external operation project based on the fused multi-source information;
automatically carrying out integrity check on the item setting examination information of the external operation project;
performing spatial analysis calculation on the red line protection area along the current subway line based on the fused multi-source information to obtain a BIM (building information modeling) model of the red line protection area of the current subway line, and displaying the BIM model in combination with a GIS (geographic information system) image map;
performing Boolean operation on the BIM model of the external operation item and the BIM model of the red line protection area, judging whether the BIM model of the external operation item is in the red line protection area through line withdrawal analysis, judging the influence level by combining the parameterized and formulated national standard of subway protection and the standard of a subway protection place in a system, associating the judged influence level with the BIM model of the external operation item through a uniform coding standard,
s300: the patrol early-warning information and the monitoring early-warning information generated in the daily safety monitoring of the external operation project are input into the system and are associated through unified coding according to the patrol position and the associated BIM model; the polling items and the monitoring types of daily safety monitoring of the external operation items correspond to the influence levels of the external operation items;
s400: the intelligent decision-making is provided to assist subway protection personnel in handling the patrol early warning information and the monitoring early warning information, and the steps are as follows:
s401: the system automatically pushes the service attribute and the spatial topology attribute of a three-dimensional BIM model related to routing inspection early warning information and monitoring early warning information and the service information and the standing information of an external operation project from a disposal scheme library to subway protection personnel according to the uniform coding association;
s402: the system selects a conventional disposal scheme related to the inspection early warning information and the monitoring early warning information which need to be disposed from a disposal scheme library according to an AI algorithm and big data analysis, and automatically pushes the routine disposal scheme to subway protection personnel;
the subway protection personnel input the disposal information by evaluating the disposal effect, the system records the information, selects a scheme with excellent disposal effect and supplements the scheme into the disposal scheme library.
2. The intelligent subway red line protection management system based on multi-source information fusion technology as claimed in claim 1, wherein: in step S300, the inspection early warning information is information generated during manual inspection, and the monitoring early warning information is video monitoring information.
3. The intelligent subway red line protection management system based on multi-source information fusion technology as claimed in claim 1, wherein: in step S401, when the patrol inspection early warning information relates to a plurality of external operation items, the system also automatically pushes priorities of different external operation items under the same influence level to the subway protection personnel.
4. The intelligent subway red line protection management system based on multi-source information fusion technology as claimed in claim 3, wherein: and the priority of the external operation project is obtained by scoring and evaluating the influence degree of the external operation project based on BP neural network and cosine similarity.
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