CN113947333B - Intelligent subway red line protection management system based on multisource information fusion technology - Google Patents
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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 BIM models around the periphery of the subway line into a system, and carrying out management fusion on the daily work information and the BIM models through unified coding standards; performing influence level analysis of external operation projects based on the fused multi-source information; recording inspection early warning information and monitoring early warning information of an external operation item into a system, and associating through unified coding according to the inspection position and an associated BIM; the intelligent decision-making method assists subway protection personnel to treat the inspection early warning information and the monitoring early warning information. The invention fully combines the BIM visual characteristics, associates the subway structure, the inspection information, the detection information, the disease information and the external project information by taking the GIS as a framework, avoids information island, and provides assistance for subway protection and subway safety operation.
Description
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 urban process, a large number of new projects are started on the periphery of the subway, so that the events of subway facilities damage and even train shutdown are frequent, and the operation safety of the subway 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, and in the execution process, information island, inaccurate and untimely risk judgment, improper command and dispatch and unreasonable quality inspection are caused by manual management, so that subway protection and field management are carried out, and various safety accidents and quality hidden troubles are frequently caused. With the gradual maturity of software and hardware conditions, the three-dimensional visualization effect brought by BIM technology simultaneously, greatly reduces management difficulty, improves management efficiency and improves management quality. Thus, two-dimensional to three-dimensional digital management upgrades have 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 visual characteristics of BIM, associates a subway structure, inspection information, detection information, disease information and external project information with GIS as a framework, avoids information island and provides assistance for subway protection and subway safety operation.
The technical scheme adopted by the invention is as follows: an intelligent subway red line protection management system based on a multisource information fusion technology comprises the following steps:
S100: inputting daily work information of subway protection work and BIM models around the periphery of the subway line into a system, and carrying out management fusion on the daily work information and the BIM models through unified coding standards;
The daily work information comprises subway protection national standard, subway protection local standard, external operation project item examination information, daily monitoring information, daily manual inspection information and video monitoring information. The daily work information is input into the system by means of importing and manually filling. The national standard for subway protection and the local standard for subway protection are subjected to formulated modeling in the system, and the influence level, the corresponding evaluation standard, inspection item and monitoring type are subjected to index parameterization.
BIM models include surface building/construction models, underground pipeline models, peripheral geologic body models and interval tunnel models along the periphery of the subway line. BIM models with various different formats are converted into a unified format through a conversion technology based on WebGL and are imported into a system;
s200: performing influence level analysis of external operation projects based on the fused multi-source information;
Automatically checking the integrity of the project item examination information of the external operation;
carrying out space analysis and calculation on the red line protection area along the current subway based on the fused multi-source information to obtain a BIM model of the red line protection area of the current subway line, and displaying by combining with a GIS image map;
The BIM model of the external operation item and the BIM model of the red line protection area are subjected to Boolean operation, whether the BIM model of the external operation item is in the red line protection area is judged through line withdrawal analysis, the influence level judgment is carried out by combining parameterized and formulated subway protection national standard and subway protection local standard in the system, the judged influence level is related with the BIM model of the external operation item through unified coding standard,
S300: recording inspection early warning information and monitoring early warning information generated during daily safety monitoring of an external operation project into a system, and associating through unified coding according to the inspection position and an associated BIM model; the inspection items and the monitoring types of the daily safety monitoring of the external operation items correspond to the influence level of the external operation items;
S400: providing intelligent decision-making to assist subway protection personnel to treat inspection early warning information and monitoring early warning information, wherein the steps are as follows:
S401: according to the unified coding association, the system automatically pushes business attributes and space topology attributes of a three-dimensional BIM model related to routing inspection early warning information and monitoring early warning information, business information and standing information of external operation projects from a disposal scheme library to subway protection personnel;
S402: the system selects a conventional treatment scheme related to the inspection early warning information and the monitoring early warning information to be treated at this time from a treatment scheme library according to an AI algorithm and big data analysis, and automatically pushes the conventional treatment scheme to subway protection personnel;
The subway protection personnel evaluate the treatment effect, input treatment information, record the information by the system, select the scheme with excellent treatment effect and supplement the scheme in the treatment 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 inspection early warning information relates to a plurality of external operation projects, the system also automatically pushes priorities of different external operation projects to the subway protection personnel under the same influence level.
Further, the priority of the external operation item is obtained by scoring and evaluating the influence degree of the external operation item based on the BP neural network and the cosine similarity by the system. 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 following beneficial effects:
1. The method combines the heavy difficulties of various types of subway protection risk sources, complex forms, low association degree of two-dimensional data and a three-dimensional model, comprehensively considers the aspects of structure, application and the like, adopts a unified coding system of a subway protection BIM model, solves the information bottleneck, develops a protection management system for multi-source information fusion and fitting actual project production based on the unified coding system, realizes three-dimensional visual presentation of subway protection, and solves the problems of two-skin subway protection and field management.
2. Based on multisource information fusion, a series of space analysis in the subway protection process is realized through the WebGL and big data cloud computing technology, safety analysis in a red line protection area is intuitively and effectively supported, the working 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 standard and local standard of subway protection are parameterized, the influence level of the external project is further refined through AI intelligent analysis, support is provided for the project inspection and daily inspection of the subway protection, and the daily subway protection cost is greatly reduced.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the drawings and the specific embodiments, so that those skilled in the art can better understand the technical solutions of the present invention.
The embodiment of the invention provides an intelligent subway red line protection management system based on a multi-source information fusion technology, which is shown in fig. 1 and comprises the following steps:
S100: inputting daily work information of subway protection work and BIM models around the periphery of the subway line into a system, and carrying out management fusion on the daily work information and the BIM models through unified coding standards;
The daily work information comprises subway protection national standard, subway protection local standard, external operation project item examination information, daily monitoring information, daily manual inspection information and video monitoring information. The daily work information is input into the system by means of importing and manually filling. The national subway protection standard and the local subway protection standard are subjected to formulated modeling in the system, influence levels are corresponding to judgment standards, inspection items and monitoring types, and index parameterization is performed. 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 Job project impact ranking
Note that: the default surrounding rock grade in the table is IV-VI grade; the grade of surrounding rock is I-III, which can be reduced by one grade; if surrounding rocks around the subway structure belong to a weak soil layer (below VI level) or a weak lower lying layer exists, the influence level is increased by one level.
Table 2 monitoring items
Note that: "internal" refers to an urban rail transit structure monitoring object; "external" means external work affected area removal
TABLE 3 external work item clear distance control management value (m)
Note that: 1 is the horizontal projection clear distance between the external operation and the outer boundary of the urban rail transit structure;
2 when the surrounding rock grade is I-III, the clear distance control management value in the table is suitable to be adjusted by combining with local engineering experience.
TABLE 4 proximity criterion
Note that: h is the excavation depth of the foundation pit of the subway structure by the open cut and cover excavation method; w is the tunnel rough hole span of the subway structure by a mining method; d is the outer diameter of the tunnel of the shield subway structure.
TABLE 5 external Job project work impact partitioning
Note that: h1 is the embedded depth of a bottom plate or the excavated depth of a foundation pit in the external repair operation of the open excavation and cover excavation method; h2 is the bottom burial depth of the external operation tunnel of the mining method; b is the outer diameter of the tunnel operated outside the shield method.
BIM models are divided into a current peripheral BIM model along the subway line and an external operation project BIM model, and specifically comprise a surface building/construction model, an underground pipeline model, a peripheral geologic body model and an interval tunnel model along the periphery of the subway line. BIM models in various different formats are converted into a unified format through a conversion technology based on WebGL and are imported into a system.
S200: performing influence level analysis of external operation projects based on the fused multi-source information;
automatically checking the integrity of the project item examination information of the external operation; for example: whether various procedures of the external operation project are complete, whether the construction party has corresponding qualification, whether the early monitoring measurement data is smaller than a limit value, whether a supervision unit is matched in place, and the like.
Carrying out space analysis and calculation on the red line protection area along the current subway based on the fused multi-source information to obtain a BIM model of the red line protection area of the current subway line, and displaying by combining with a GIS image map; marking each level of influence level areas in the BIM model;
The BIM of the external operation item and the BIM of the red line protection area are subjected to Boolean operation, whether the BIM of the external operation item is in the red line protection area is judged through line withdrawal analysis, and influence level judgment is carried out by combining parameterized and formulated subway protection national standards and subway protection local standards in the system, and the judged influence level is related to the BIM of the external operation item through unified coding standards. The subway protection personnel can conveniently carry out the standing approval of the external operation project according to the influence level of the external operation project and other basic information input to the platform, and the whole automatic initial review evaluation and decision support are realized.
S300: after the external operation project stands, the subway protection personnel conduct daily safety monitoring according to the specific influence level determined in the step S200 of the external operation project, the inspection project and the monitoring type corresponding to the influence level. The subway protection personnel can carry out daily safety monitoring on external operation projects, the generated inspection early warning information and monitoring early warning information are the information generated during manual inspection, and the monitoring early warning information is video monitoring information. In the inspection early warning information and monitoring early warning information input system, the system is associated through unified coding according to the inspection position and the associated BIM model.
S400: when subway protection personnel deal with the inspection 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: according to the unified coding association, the system automatically pushes business attributes and space topology attributes of the three-dimensional BIM model related to the inspection early warning information and the monitoring early warning information, and business information and standing information of external operation projects from the disposal scheme library, so that comprehensive analysis and judgment of the early warning information are facilitated for subway protection personnel.
The subway protection personnel needs to arrange the inspection records every half month or one month, and find the external project with the highest influence on the subway operation and highest priority. Although the general impact levels can be separated according to the specification, it is still necessary to distinguish the degree of impact between different items at the same impact level. In this case, the system automatically pushes priorities of different external work items to the subway protection personnel under the same influence level.
The inspection early warning information often relates to a plurality of external operation projects, and the system also automatically pushes the priorities of different external operation projects to subway protection personnel under the same influence level. The priority of the external operation project is obtained by scoring and evaluating the influence of the external operation project based on BP neural network and cosine similarity by combining a large amount of existing inspection work accessory information and judgment experience in daily work of subway protection staff. 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. Keyword selection: keywords in the inspection early warning information are determined, wherein the keywords are short sentences, fixed expressions or words which are frequently appeared in the inspection early warning information and are very important for scoring the influence level of external operation projects.
2. Text information processing: word segmentation operation is carried out on the inspection early warning information, and then keyword information of each piece of inspection early warning information is searched by adopting a character string comparison and word information repetition tool;
3. Training a neural network: each piece of inspection early warning information can form an inspection index vector, and the neural network aims to input the information and then learn the information to judge the corresponding influence level of the vector.
4. The neural network realizes: the neural network implementation adopts TensorFlow, tensorFlow to be an artificial learning class library provided by google, the bottom layer of the artificial learning class library is very well packaged, and various types of conventional and mature neural network learning models are provided, so that a user does not need to spend too much time in the aspect of details of the neural network construction, and can construct a common training model by only determining a training mode to be selected, input and output vectors in the model and an excitation function.
Neural network training has two benefits. Firstly, the influence grade value of a certain external operation project can be clearly known; and secondly, through the adjustment of the weight in the training process, the reasonable weight value among all the items in the inspection vector is known.
5. Similarity calculation: through the continuous training of the neural network, each proper weight value in the input inspection 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. And by combining the information, the priority scoring of the subway protection inspection records can be realized.
The priority scoring can be ordered, and then the external operation project conforming to the score limit is selected for inspection and inspection work according to the actual requirement of subway protection work.
S402: the system selects a conventional treatment scheme related to the inspection early warning information and the monitoring early warning information to be treated at this time from a treatment scheme library according to an AI algorithm and big data analysis, and automatically pushes the conventional treatment scheme to subway protection personnel; after subway protection personnel can refer to the information, a disposal scheme of the early warning information is formed.
Subway protection personnel evaluate the treatment effect, input treatment information, record the information by the system, select a scheme with excellent treatment effect, supplement the scheme in a treatment scheme library, and provide scheme support for subsequent early warning treatment.
The present invention has been described in detail by way of examples, but the description is merely exemplary of the invention and should not be construed as limiting the scope of the invention. The scope of the invention is defined by the claims. In the technical scheme of the invention, or under the inspired by the technical scheme of the invention, similar technical schemes are designed to achieve the technical effects, or equivalent changes and improvements to the application scope are still included in the protection scope of the patent coverage of the invention.
Claims (4)
1. An intelligent subway red line protection management system based on a multisource information fusion technology is characterized in that: the method comprises the following steps:
S100: inputting daily work information of subway protection work and BIM models around the periphery of the subway line into a system, and carrying out management fusion on the daily work information and the BIM models through unified coding standards;
The daily work information comprises subway protection national standard, subway protection local standard, external operation project item examination information, daily monitoring information, daily manual inspection information and video monitoring information; carrying out formulated modeling on the subway protection national standard and the subway protection local standard in a system, and carrying out index parameterization on the influence level, the corresponding evaluation standard, the corresponding inspection item and the corresponding monitoring type;
The BIM model comprises a surface building/construction model, an underground pipeline model, a peripheral geologic body model and an interval tunnel model at the periphery of the subway line, and the BIM models in various different formats are converted into a uniform format through a conversion technology based on WebGL;
s200: performing influence level analysis of external operation projects based on the fused multi-source information;
Automatically checking the integrity of the project item examination information of the external operation;
carrying out space analysis and calculation on the red line protection area along the current subway based on the fused multi-source information to obtain a BIM model of the red line protection area of the current subway line, and displaying by combining with a GIS image map;
The BIM model of the external operation item and the BIM model of the red line protection area are subjected to Boolean operation, whether the BIM model of the external operation item is in the red line protection area is judged through line withdrawal analysis, the influence level judgment is carried out by combining parameterized and formulated subway protection national standard and subway protection local standard in the system, the judged influence level is related with the BIM model of the external operation item through unified coding standard,
S300: recording inspection early warning information and monitoring early warning information generated during daily safety monitoring of an external operation project into a system, and associating through unified coding according to the inspection position and an associated BIM model; the inspection items and the monitoring types of the daily safety monitoring of the external operation items correspond to the influence level of the external operation items;
S400: providing intelligent decision-making to assist subway protection personnel to treat inspection early warning information and monitoring early warning information, wherein the steps are as follows:
S401: according to the unified coding association, the system automatically pushes business attributes and space topology attributes of a three-dimensional BIM model related to routing inspection early warning information and monitoring early warning information, business information and standing information of external operation projects from a disposal scheme library to subway protection personnel;
S402: the system selects a conventional treatment scheme related to the inspection early warning information and the monitoring early warning information to be treated at this time from a treatment scheme library according to an AI algorithm and big data analysis, and automatically pushes the conventional treatment scheme to subway protection personnel;
The subway protection personnel evaluate the treatment effect, input treatment information, record the information by the system, select the scheme with excellent treatment effect and supplement the scheme in the treatment scheme library.
2. The intelligent subway red line protection management system based on the multi-source information fusion technology as set forth 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 the multi-source information fusion technology as set forth in claim 1, wherein: in step S401, when the inspection early warning information relates to a plurality of external operation projects, the system also automatically pushes priorities of different external operation projects to the subway protection personnel under the same influence level.
4. The intelligent subway red line protection management system based on the multi-source information fusion technology as set forth in claim 3, wherein: the priority of the external operation item is obtained by scoring and evaluating the influence degree of the external operation item based on BP neural network and cosine similarity by the system.
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