CN114969888A - Highway tunnel multisource heterogeneous data fusion decision-making system based on BIM - Google Patents

Highway tunnel multisource heterogeneous data fusion decision-making system based on BIM Download PDF

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CN114969888A
CN114969888A CN202210397428.9A CN202210397428A CN114969888A CN 114969888 A CN114969888 A CN 114969888A CN 202210397428 A CN202210397428 A CN 202210397428A CN 114969888 A CN114969888 A CN 114969888A
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CN114969888B (en
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姚广
张瑞
刘斌
张川川
王保生
赵晓晋
赵果萍
靳云梅
赵雪峰
何信
赵敏
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Shanxi Intelligent Transportation Research Institute Co ltd
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Abstract

The invention discloses a BIM-based road tunnel multi-source heterogeneous data fusion decision-making system, which comprises: the system comprises an operation and maintenance basic data unit, a BIM visual model unit, a disease intelligent acquisition unit, a disease maintenance tracking unit, a technical condition evaluation unit, a structure monitoring and early warning unit, a maintenance investment decision unit, a virtual reality demonstration unit, a cloud server and a client side, wherein a maintenance investment decision algorithm based on an analytic hierarchy process can realize network-level maintenance treatment priority ranking, a visual BIM model is used as a multi-source heterogeneous data carrier, full life cycle data fusion can be applied to the research and selection of a fault maintenance and civil engineering structure reinforcement treatment scheme of the electromechanical facility, VR virtual reality is applied to an expert demonstration process, and scientific maintenance decision based on big data analysis for the tunnel is realized.

Description

Highway tunnel multisource heterogeneous data fusion decision-making system based on BIM
Technical Field
The invention belongs to the technical field of tunnel engineering, and particularly relates to a BIM-based road tunnel multi-source heterogeneous data fusion decision-making system.
Background
The highway construction in China is vigorously developed, and a large amount of tunnel engineering is generated at the same time. With the rapid development of intelligent traffic in recent years, disease investigation, monitoring and early warning and the like of a road tunnel basically realize informatization and intellectualization; however, the data islanding phenomenon is obvious, and multisource heterogeneous data such as basic information, disease information, monitoring and detecting information and the like are not organically fused, so that the problems of low data utilization efficiency, inaccurate structural operation state identification and the like are caused. Decision management platforms of tunnels are common in the management and maintenance of extra-long tunnels, but with the reform of the transportation industry of multiple provinces, provincial maintenance investment plan management modes are implemented step by step, and decision methods and platforms based on big data are the core of problem solving.
The BIM technology is rapidly developed in tunnel design and construction in recent years, however, the maintenance process is complex and long, a plurality of units and personnel are involved, the digitization degree is low, and a data island phenomenon exists, so that the technology is rarely applied in the maintenance management process.
Disclosure of Invention
Aiming at the problems, the invention provides a BIM-based road tunnel multi-source heterogeneous data fusion decision-making system, a maintenance investment decision-making algorithm based on an analytic hierarchy process can realize network-level maintenance priority ranking, service data such as frequent inspection (repair), regular inspection (repair) and the like are fused, scientific support is provided for selection of maintenance, repair and reinforcement treatment, a BIM model is used as a data carrier, a VR (virtual reality) technology is used for enhancing understanding of experts on tunnel structure diseases and deformation, various file parameters can be consulted, online communication discussion is carried out, maintenance, repair and reinforcement treatment schemes suggested by a platform are demonstrated, and rationality of the overall scheme is guaranteed.
A road tunnel multi-source heterogeneous data fusion decision-making system based on BIM comprises: the system comprises an operation and maintenance basic data unit, a BIM visual model unit, a disease intelligent acquisition unit, a disease maintenance tracking unit, a technical condition evaluation unit, a structure monitoring and early warning unit, a maintenance investment decision unit, a virtual reality demonstration unit, a cloud server and a client;
the operation and maintenance basic data unit comprises tunnel basic condition information and is used for maintaining charge per kilometer per year, frequent annual inspection times and annual average precipitation information related to investment decision calculation;
the technical condition evaluation unit automatically scores according to technical Specifications for Highway tunnel maintenance (JTG H12-2015) and development conditions of diseases, and generates a disease development graph and an evaluation report;
the structure monitoring and early warning unit is used for deploying deformation, strain and test elements for the highway tunnel with low evaluation score aiming at the technical condition of the lining water leakage, monitoring the mechanical behavior change of the structure, and setting an early warning threshold value to early warn abnormal response;
the maintenance investment decision unit automatically calculates the cost according to the fault maintenance measures of the electromechanical facilities and the reinforcement treatment measures of the civil engineering structure, realizes the maintenance priority ranking based on an analytic hierarchy process, and automatically generates a distribution scheme of limited expenses and a distribution scheme aiming at a special target; the electromechanical facility fault maintenance measures are to set different types of faults of the tunnel electromechanical facility and corresponding maintenance methods, unit prices and units; the civil engineering structure reinforcing treatment measures comprise setting a highway tunnel reinforcing treatment scheme, unit price and unit; the maintenance priority ranking is realized based on the analytic hierarchy process, and different priority ranking algorithms are provided for maintenance of electromechanical facilities and treatment of civil structures.
Furthermore, the BIM visual model unit directly displays electromechanical faults, disease information, structure monitoring points and technical condition evaluation results, checks corresponding electronic files, material conditions and state parameters after clicking specific positions, supports VR roaming and realizes demonstration of rationality of tunnel maintenance treatment schemes in virtual reality environments; the electronic file comprises construction period, operation period, drawing and report data.
Furthermore, the maintenance investment decision unit is used for supporting basic data by taking frequent inspection and maintenance, periodic inspection and maintenance information and the calculation result of the technical condition evaluation unit as direct support aiming at fault maintenance and reinforcement treatment, and fusing the operation and maintenance basic data unit to perform intelligent auxiliary decision; the maintenance investment decision unit follows the following process:
dividing the road network tunnel into a tunnel which needs to be maintained and treated and a tunnel which possibly needs to be maintained and treated, and respectively calculating the failure maintenance priority of the electromechanical facility and the reinforcement treatment priority of the civil engineering structure, wherein: when the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; the civil engineering structure technical condition is 4 or 5 types, or when the evaluation condition value of the opening, the opening door, the lining, the pavement, the suspended ceiling and the embedded part is 3 or 4, the maintenance is necessary;
the maintenance investment decision unit establishes an electromechanical facility maintenance priority evaluation index system and a civil engineering structure reinforcement priority evaluation index system based on an analytic hierarchy process, and comprises two types of safety indexes and importance indexes, wherein:
the electromechanical facility safety indexes comprise: annual per kilometer charge amount, route grade, tunnel traffic engineering and affiliated facility configuration grade and tunnel length;
the electromechanical facility importance indexes comprise: evaluating the technical condition of the tunnel electromechanical facilities by total points, operation years, frequent annual inspection times and whether inclined shaft indexes exist;
the civil engineering structure safety indexes comprise: annual per kilometer charge amount, route grade, tunnel length and tunnel span;
the civil engineering structure importance indexes comprise: the technical condition evaluation total score, the operation age, the annual frequent inspection times, the surrounding rock characteristics, the annual average precipitation and the underground water development degree of the tunnel civil engineering structure;
the annual charge per kilometer, the route grade, the tunnel length, the tunnel span, the operation age, the configuration grade of tunnel traffic engineering and auxiliary facilities, the annual frequent inspection times, whether inclined shaft indexes exist, the surrounding rock characteristics, the annual average precipitation and the development degree of underground water are all obtained from an operation and maintenance basic data unit; the total evaluation scores of the technical conditions of the electromechanical facilities and the total evaluation scores of the technical conditions of the civil engineering structure are obtained from a technical condition evaluation unit;
the maintenance investment decision unit is used for determining the weight of electromechanical facilities according to an expert survey method to be an importance index of 0.33 and a safety index of 0.67; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.315, the route level is 0.127, the configuration level of tunnel traffic engineering and affiliated facilities is 0.147, and the tunnel length is 0.081; the technical condition evaluation total score of the tunnel electromechanical facilities is 0.140, the operation year limit is 0.076, the annual frequent inspection times are 0.051, and whether an inclined shaft index is 0.063 exists or not is judged;
aiming at the civil engineering structure, the weight determined according to the expert survey method is 0.33 of importance index and 0.67 of safety index; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.241, the route level is 0.101, the tunnel length is 0.107 and the tunnel span is 0.221; the tunnel civil engineering structure technical condition evaluation total score is 0.099, the operation year is 0.043, the annual frequent inspection times are 0.026, the surrounding rock characteristic is 0.066, the annual average precipitation amount is 0.040, and the underground water development degree is 0.056;
in the maintenance investment decision unit, the selected decision parameters are determined to take values according to a 5-standard degree method, and the evaluation indexes of the electromechanical facilities take the following values:
according to
Figure BDA0003599593600000031
Or
Figure BDA0003599593600000032
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first level road, 3-second level road, 2-third level road and 1-fourth level road;
the decision index values of the configuration grade of the tunnel traffic engineering and the attached facilities are as follows: 5-A +, 4-A, 3-B, 2-C, 1-D;
tunnel length classification index value: 5-extra long tunnel, 4-long tunnel, 3-middle tunnel, 2-short tunnel;
the technical condition evaluation total score decision index value: 5- [84, 92), 3- [92, 97), 2- [97,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, + ∞);
whether an inclined shaft decision index value exists or not: 5-arranging an inclined vertical shaft, and 1-arranging a non-inclined vertical shaft;
the civil engineering structure evaluation index values are as follows:
according to
Figure BDA0003599593600000033
Or
Figure BDA0003599593600000034
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first-level highway, 3-second-level highway, 2-third-level highway and 1-fourth-level highway;
tunnel length decision index value: 5-extra long tunnel, 4-long tunnel, 3-middle tunnel, 2-short tunnel;
tunnel span decision index value: 5-super large span, 4-large span, 3-middle span and 2-small span;
the technical condition evaluation total score decision index value: 5- [55, 70), 3- [70, 85), 2- [85,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, + ∞);
and (3) taking the characteristic decision index of the surrounding rock: 5-surrounding rock has expansibility, 4-soil surrounding rock has softening property or a fracture zone exists in the rock surrounding rock, 3-soil surrounding rock has collapsible property or rock surrounding rock fracture development, and 1-no bad characteristic exists;
taking the average precipitation decision index value in the region year: 5- [700, + ∞),4- [550,700),3- [400,550),4- [200,400),5- [0,200);
and (3) taking the groundwater development condition decision index: 5-groundwater development, 1-groundwater not development.
Further, the maintenance investment decision unit has the following specific algorithm:
aiming at maintenance decision of electromechanical facilities, the tunnel set which has obvious fault and influences operation safety is assumed to be A and contains t A Each element, other tunnels are set as B, and t is contained in B When the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; if electromechanical facilities maintenance cost S 1 Maintenance cost S less than or equal to set A A Then, only the set A is maintained; if maintenance cost S 1 Maintenance cost S > set A A Performing maintenance priority calculation on the set B according to the maintenance priority evaluation index; let the priority evaluation index of the electromechanical facility be P y With a weight of W y Y is the number of decision index, tunnel B i Each decision index P y Is taken as p y-i Then tunnel B i Maintenance priority score of I Bi =20∑W y ·p y-i Value range of
Figure BDA0003599593600000041
Maintenance priority of set BThe top-ranked scores are ranked from high to low as: b is 1 ,B 2 … …, corresponding maintenance cost m 1 ,m 2 … …, when satisfied
Figure BDA0003599593600000042
When the maintenance tunnel of the set B is B 1 ,B 2 ,……,B x The maintenance priority of the set B is calculated;
aiming at a civil structure treatment decision, assuming that a tunnel set which has obvious diseases and affects operation safety is C and contains t C Each element, the other tunnels are D, and t is contained D When the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; if civil engineering structure maintenance cost S 2 Maintenance cost S less than or equal to set C C Then, only the set C is maintained; if maintenance cost S 2 Maintenance expenses S > Collection C C Performing maintenance priority calculation on the set D according to the maintenance priority evaluation index; the civil engineering structure priority evaluation index is set as Q y With a weight of V y Y is the number of decision index, tunnel D i Each decision index Q y Is taken as q y-i Then tunnel D i Maintenance priority score of I Di =20∑V y ·q y-i Value range of
Figure BDA0003599593600000051
The aggregate D repair priority scores are ordered from high to low as: d 1 ,D 2 … …, corresponding maintenance cost n 1 ,n 2 … …, when satisfied
Figure BDA0003599593600000052
Then, the set D maintains the tunnel as D 1 ,D 2 ,……,D y The maintenance priority of the set D is calculated;
for the calculation of the maintenance priority evaluation index considering special requirements, the following algorithm is introduced:
when maintenance priorityWhen scoring is performed according to the average value optimal algorithm of the technical conditions of the whole tunnel electromechanical facilities of the road network, a tunnel B is set i Technical status is scored as e i The required maintenance cost is m i Setting a score contribution index alpha Bi
Figure BDA0003599593600000053
Figure BDA0003599593600000054
When the average value optimization algorithm is adopted according to the technical condition of the whole tunnel electromechanical facility of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure BDA0003599593600000055
when the maintenance priority grade is graded according to the road network whole tunnel civil engineering structure average value optimal algorithm, a tunnel D is arranged i The technical condition is scored as f i The required cost of maintenance is n i Setting a score contribution index
Figure BDA0003599593600000056
Figure BDA0003599593600000057
Figure BDA0003599593600000058
When the average value optimal algorithm is adopted according to the technical condition of the whole tunnel civil engineering structure of the road network, the technical method for scoring the maintenance priority comprises the following steps:
Figure BDA0003599593600000059
when maintenance priorityWhen scoring is carried out according to the algorithm that the number of the tunnels of the whole electromechanical facility of the road network is the least in proportion to the number of the tunnels of the three types, setting a tunnel B i Technical status is scored as e i The required maintenance cost is m i Setting a quantitative contribution index
Figure BDA00035995936000000510
Figure BDA0003599593600000061
Figure BDA0003599593600000062
When the number of the three types of tunnels is calculated to be the least in proportion according to the technical conditions of the whole tunnel electromechanical facilities of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure BDA0003599593600000063
when the maintenance priority score is the least algorithm of the number of the three types of tunnels according to the technical condition of the whole civil construction structure of the road network, setting a tunnel D i The technical condition is scored as f i The required cost of maintenance is n i Setting a quantitative contribution index
Figure BDA0003599593600000064
Figure BDA0003599593600000065
Figure BDA0003599593600000066
When the technical status of the whole tunnel civil engineering structure of the road network is the minimum algorithm of the number of the three types of tunnels, the technical method for scoring the maintenance priority comprises the following steps:
Figure BDA0003599593600000067
the tunnel multi-source heterogeneous data fusion decision method and platform based on BIM provided by the invention have the following advantages:
1) the civil engineering structure and electromechanical facility maintenance investment decision algorithm based on the analytic hierarchy process can realize network-level maintenance priority sequencing and support intelligent generation of maintenance expense distribution schemes under a conventional target and a special target;
2) service data such as frequent inspection (repair), regular inspection (repair) and the like are fused, and scientific support is provided for selection of maintenance and treatment;
3) the BIM model is used as a data carrier, the VR technology is applied to strengthen the understanding of experts on tunnel electromechanical faults and structural diseases through virtual reality scenes, meanwhile, various types of file parameters can be consulted, online communication discussion is carried out, maintenance and treatment schemes suggested by a platform are demonstrated, and the rationality of the overall scheme is guaranteed.
Drawings
FIG. 1 is an overall structure diagram of a BIM-based tunnel multi-source heterogeneous data fusion decision making system;
fig. 2 is a general step implementation diagram of a BIM-based tunnel multi-source heterogeneous data fusion decision making system.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following describes in detail a road tunnel multi-source heterogeneous data fusion decision system based on BIM provided in the present invention with reference to an embodiment. The following examples are intended to illustrate the invention only and are not intended to limit the scope of the invention.
A highway tunnel multisource heterogeneous data fusion decision-making system based on BIM comprises: the system comprises an operation and maintenance basic data unit, a BIM visual model unit, a disease intelligent acquisition unit, a disease maintenance tracking unit, a technical condition evaluation unit, a structure monitoring and early warning unit, a maintenance investment decision unit, a virtual reality demonstration unit, a cloud server and a client;
the operation and maintenance basic data unit, namely a tunnel basic condition information card, is used for information such as annual per-kilometer charge amount, annual frequent inspection times, annual average precipitation and the like related to maintenance investment decision calculation, as shown in table 1;
the BIM visual model unit is used for displaying a tunnel structure in an imaging way according to the actual size by applying a lightweight technology, converting three-dimensional information of diseases into two-dimensional information for displaying, and displaying a monitoring, early-warning and sensing system and real-time data; the three-dimensional information of the diseases is converted into two-dimensional information for displaying, the coordinate information in the disease position description is combined with the BIM model, the specific positions of the diseases in the model are accurately positioned, and roaming viewing is realized;
the disease intelligent acquisition unit comprises a position description standard, a characteristic description standard, an image file standard, a disease type library and an AI image recognition algorithm;
the disease maintenance tracking unit establishes the incidence relation of diseases with different time attributes, is used for recording the change of disease characteristics during field inspection to improve the field inspection efficiency, and simultaneously realizes the development tracking and prediction of the disease length, width, area and maximum seam width characteristics according to a time axis so as to track and evaluate maintenance measures;
the technical condition evaluation unit automatically scores according to technical Specifications for Highway tunnel maintenance (JTG H12-2015) and development conditions of diseases, and generates a disease development graph and an evaluation report;
the structure monitoring and early warning unit is used for pertinently deploying deformation, strain and test elements aiming at a highway tunnel with low evaluation value of lining and water leakage technical conditions, monitoring the mechanical behavior change of a structure, and setting an early warning threshold value to carry out early warning on abnormal response;
the maintenance investment decision unit can automatically calculate the cost according to the fault maintenance measures of the electromechanical facilities and the reinforcement treatment measures of the civil engineering structure, realize the maintenance priority ranking based on an analytic hierarchy process, and automatically generate a reasonable distribution scheme of limited expenses and a reasonable distribution scheme aiming at a special target; the fault maintenance measures are to set different types of faults of the tunnel electromechanical facility and corresponding maintenance methods, unit prices and units; the reinforcement treatment measures are reinforcement treatment schemes, unit prices and units which can be selected by the highway tunnel; the maintenance priority ranking is realized based on the analytic hierarchy process, and different priority ranking algorithms are provided for maintenance of electromechanical facilities and treatment of civil engineering structures;
the virtual reality demonstration unit is used for roaming in virtual reality through VR to check apparent tunnel diseases, monitoring historical data and analysis results and demonstrating which reinforcement treatment scheme is adopted by the tunnel;
the data cloud server and the client are used for realizing real-time calling by storing the data in a network and realizing friendly interaction with a user through the WEB client and the mobile client.
Preferably, the BIM visual model unit can directly display electromechanical faults, disease information, structure monitoring measuring points and technical condition evaluation results, and check corresponding electronic files, material conditions and state parameters after clicking a specific position, so that VR roaming is supported, and the rationality of a tunnel maintenance treatment scheme is demonstrated in a virtual reality environment; the electronic files comprise drawings and report data of construction period, operation period and the like.
Preferably, the disease maintenance tracking unit is used for completing a confirmation function by adding field detection on the data cloud server and the client, checking whether all historical diseases are tracked and investigated, marking a crack width test position on a crack key disease field, integrating frequent inspection and regular inspection information to monitor the disease development condition, and providing data support for judging the change of the stress characteristic of the structure; and tracking and monitoring the maintained and maintained diseases to realize the tracking and evaluation of the maintenance and maintenance measures.
Preferably, the technical condition evaluation unit performs comprehensive evaluation after judging the disease property according to the disease data of frequent inspection and regular inspection and the monitoring data of the disease maintenance tracking unit.
Preferably, the maintenance investment decision unit is used for supporting basic data by using frequent inspection (repair) and periodic inspection (repair) information and directly supporting a calculation result of the technical condition evaluation unit aiming at fault maintenance and reinforcement treatment, and fusing the operation and maintenance basic data unit to perform intelligent auxiliary decision; the maintenance investment decision unit follows the following general idea:
divide into the tunnel that must maintain the punishment, the tunnel that probably needs maintenance punishment two types with the road network tunnel, electromechanical facilities trouble maintenance priority should calculate respectively with civil engineering structure reinforcement punishment priority, wherein: when the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; and when the technical condition of the civil structure is 4 or 5 types or the evaluation condition values of the opening, the opening door, the lining, the pavement, the suspended ceiling and the embedded part are 3 or 4, the civil structure must be maintained. The maintenance investment decision unit establishes an electromechanical facility maintenance priority evaluation index system and a civil engineering structure reinforcement priority evaluation index system based on an analytic hierarchy process, and the maintenance investment decision unit comprises two types of safety indexes and importance indexes; wherein,
the electromechanical facility safety indexes comprise: annual per kilometer charge amount, route grade, tunnel traffic engineering and affiliated facility configuration grade and tunnel length;
the electromechanical facility importance indexes include: evaluating the technical condition of the tunnel electromechanical facilities by total points, the operation years, the frequent annual inspection times and whether the indexes of the inclined vertical shaft exist;
the civil engineering structure safety indexes comprise: annual per kilometer charge amount, route grade, tunnel length, tunnel span;
the civil structure importance indexes comprise: the technical condition evaluation total score, the operation age, the annual frequent inspection times, the surrounding rock characteristics, the annual average precipitation and the underground water development degree of the tunnel civil engineering structure;
the annual charge per kilometer, the route grade, the tunnel length, the tunnel span, the operation age, the configuration grade of tunnel traffic engineering and auxiliary facilities, the annual frequent inspection times, whether inclined shaft indexes exist, the surrounding rock characteristics, the annual average precipitation and the development degree of underground water are all obtained from an operation and maintenance basic data unit; the total evaluation scores of the technical conditions of the electromechanical facilities and the total evaluation scores of the technical conditions of the civil engineering structure are obtained from a technical condition evaluation unit;
the maintenance investment decision unit is used for determining the weight of electromechanical facilities according to an expert survey method to be an importance index of 0.33 and a safety index of 0.67; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.315, the route level is 0.127, the configuration level of tunnel traffic engineering and affiliated facilities is 0.147, and the tunnel length is 0.081; the technical condition evaluation total score of the tunnel electromechanical facilities is 0.140, the operation year limit is 0.076, the annual frequent inspection times are 0.051, and whether an inclined shaft index is 0.063 exists or not is judged.
Aiming at the civil engineering structure, the weight determined according to the expert survey method is 0.33 of importance index and 0.67 of safety index; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.241, the route level is 0.101, the tunnel length is 0.107 and the tunnel span is 0.221; the tunnel civil engineering structure technical condition evaluation total score is 0.099, the operation year is 0.043, the annual frequent inspection times are 0.026, the surrounding rock characteristic is 0.066, the annual average precipitation amount is 0.040 and the underground water development degree is 0.056.
Preferably, the maintenance investment decision unit determines the value of the selected decision parameter according to a 5-scale method, and the evaluation index values of the electromechanical facility are as follows:
according to
Figure BDA0003599593600000091
Or
Figure BDA0003599593600000092
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first level road, 3-second level road, 2-third level road and 1-fourth level road;
the decision index values of the configuration grade of the tunnel traffic engineering and the attached facilities are as follows: 5-A +, 4-A, 3-B, 2-C, 1-D;
tunnel length classification index value: 5-extra-long tunnel, 4-long tunnel, 3-medium tunnel, 2-short tunnel;
the technical condition evaluation total score decision index value: 5- [84, 92), 3- [92, 97), 2- [97,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, + ∞);
whether an inclined shaft decision index value exists or not: 5-arranging an inclined shaft and 1-arranging a non-inclined shaft.
The civil engineering structure evaluation index values are as follows:
according to
Figure BDA0003599593600000093
Or
Figure BDA0003599593600000094
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first level road, 3-second level road, 2-third level road and 1-fourth level road;
tunnel length decision index value: 5-extra long tunnel, 4-long tunnel, 3-middle tunnel, 2-short tunnel;
tunnel span decision index value: 5-super large span, 4-large span, 3-middle span and 2-small span;
the technical condition evaluation total score decision index value: 5- [55, 70), 3- [70, 85), 2- [85,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, +∞);
taking the values of the characteristic decision indexes of the surrounding rock: 5-surrounding rock has expansibility, 4-soil surrounding rock has softening property or a fracture zone of the rock surrounding rock exists, 3-soil surrounding rock has collapsibility or crack development of the rock surrounding rock, and 1-no adverse characteristic exists.
Taking the average precipitation decision index value in the regional year: 5- [700, + ∞),4- [550,700),3- [400,550),4- [200,400),5- [0,200);
and (3) taking the groundwater development condition decision index: 5-groundwater development, 1-groundwater not development.
Further, the maintenance investment decision unit supports a specific maintenance target, and includes: the average value of the civil engineering structure of the whole tunnel of the road network is optimal, the average value of the electromechanical facility of the whole tunnel of the road network is optimal, the number of the tunnels with three types of the technical condition of the electromechanical facility of the whole road network is the least, and the number of the tunnels with three types of the technical condition of the civil engineering structure of the whole road network is the least.
Further, the maintenance investment decision unit has the following specific algorithm:
aiming at maintenance decision of electromechanical facilities, the tunnel set which has obvious fault and influences operation safety is assumed to be A and contains t A Each element, other tunnels are set as B, and t is contained in B And when the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the element needs to be maintained. If electromechanical facilities maintenance cost S 1 Maintenance cost S less than or equal to set A A Then, only the set A is maintained; if maintenance cost S 1 Maintenance cost S > set A A Performing maintenance priority calculation on the set B according to the maintenance priority evaluation index; let the priority evaluation index of the electromechanical facility be P y With a weight of W y Y is the number of decision index, tunnel B i Each decision index P y Is taken as p y-i . Then tunnel B i Maintenance priority score of I Bi =20∑W y ·p y-i Value range of
Figure BDA0003599593600000101
Set B repair priority scores are ordered from high to low as: b is 1 ,B 2 … …, corresponding maintenance cost m 1 ,m 2 … …, when satisfied
Figure BDA0003599593600000102
Then, the maintenance tunnel set B is set as the maintenance tunnel set B 1 ,B 2 ,……,B x And finishing the calculation of the maintenance priority of the set B.
Aiming at a civil structure treatment decision, assuming that a tunnel set which has obvious diseases and affects operation safety is C and contains t C Each element, the other tunnels are D, and t is contained D And when the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the element needs to be maintained. If the civil engineering structure maintenance cost S 2 Maintenance cost S less than or equal to set C C Then, only the set C is maintained; if maintenance cost S 2 Maintenance cost S > set C C Performing maintenance priority calculation on the set D according to the maintenance priority evaluation index; the civil engineering structure priority evaluation index is set as Q y With a weight of V y Y is the number of decision index, tunnel D i Each decision index Q y Is taken as q y-i . Then tunnel D i Maintenance priority score of I Di =20∑V y ·q y-i Value range of
Figure BDA0003599593600000111
Set D repair priority scores are ordered from high to low as: d 1 ,D 2 … …, corresponding maintenance cost n 1 ,n 2 … …, when satisfied
Figure BDA0003599593600000112
Then, the set D maintains the tunnel as D 1 ,D 2 ,……,D y And D, finishing the maintenance priority calculation of the set.
For the calculation of the maintenance priority evaluation index considering the special requirements, in order to facilitate the calculation, the following algorithm is introduced:
when the maintenance priority grade is calculated according to the average value of the technical conditions of the whole tunnel electromechanical facilities of the road network, setting a tunnel B i Technical status is scored as e i The required maintenance cost is m i Setting a score contribution index alpha Bi
Figure BDA0003599593600000113
Figure BDA0003599593600000114
When the average value optimization algorithm is adopted according to the technical condition of the whole tunnel electromechanical facility of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure BDA0003599593600000115
when the maintenance priority grade is graded according to the road network whole tunnel civil engineering structure average value optimal algorithm, a tunnel D is arranged i The technical condition is scored as f i The required cost of maintenance is n i Setting a score contribution index
Figure BDA0003599593600000116
Figure BDA0003599593600000117
Figure BDA0003599593600000118
When the average value optimal algorithm is adopted according to the technical condition of the whole tunnel civil engineering structure of the road network, the technical method for scoring the maintenance priority comprises the following steps:
Figure BDA0003599593600000121
when the maintenance priority grade is the least algorithm of the number of the three types of tunnels according to the technical condition of the whole electromechanical facilities of the road network, setting a tunnel B i Technical status is scored as e i The required maintenance cost is m i Setting a quantitative contribution index
Figure BDA0003599593600000122
Figure BDA0003599593600000123
Figure BDA0003599593600000124
When the number of the three types of tunnels is calculated to be the least in proportion according to the technical conditions of the whole tunnel electromechanical facilities of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure BDA0003599593600000125
when the maintenance priority grade is the least algorithm of the number of the three types of tunnels according to the technical condition of the whole civil engineering structure of the road network, a tunnel D is set i The technical condition is scored as f i The required cost of maintenance is n i Setting a quantitative contribution index
Figure BDA0003599593600000126
Figure BDA0003599593600000127
Figure BDA0003599593600000128
When the technical status of the whole tunnel civil engineering structure of the road network is the minimum algorithm of the number of the three types of tunnels, the technical method for scoring the maintenance priority comprises the following steps:
Figure BDA0003599593600000129
preferably, the virtual reality demonstration unit supports that the tunnel needing to be maintained and treated supports the operation condition of the bridge at any time and any place, looks up electronic archive data, carries out voice discussion in a platform and simulates an expert field demonstration scene.
TABLE 1 Tunnel basic situation information card
Figure BDA00035995936000001210
Figure BDA0003599593600000131
(Tunnel basic situation information card front)
Figure BDA0003599593600000132
Figure BDA0003599593600000141
(Back of Tunnel basic situation information card)
Example 1
As shown in fig. 2, the work of the tunnel multi-source heterogeneous data fusion decision making system based on BIM provided by the present invention includes 14 steps:
s1: maintaining the operation and maintenance basic data of the road network tunnel by applying a WEB or a mobile client;
s2: building a BIM model according to the actual structural size of the tunnel, and associating drawings, reports and other data in the electronic files, such as construction period, operation period and the like;
s3: the method comprises the steps of intelligently collecting newly found diseases on site through a mobile client, recording the characteristic development of the newly found diseases at the future time, and recording whether the maintained and maintained diseases continue to develop or not;
s4, intelligently evaluating technical conditions according to the acquired apparent diseases to obtain the evaluation grades of the technical conditions of each subsection and the whole of the electromechanical facilities and the evaluation grades of the technical conditions of each subsection and the whole of the civil structure, and dividing the tunnel into a tunnel which needs to be maintained and treated and a tunnel which possibly needs to be maintained and treated;
s5: if the distribution cost is less than or equal to the cost required by the tunnel which needs to be maintained and treated, only the tunnel which needs to be maintained and treated is maintained and treated, if the distribution cost is more than the cost required by the tunnel which needs to be maintained and treated, the conventional management and treatment target and the special management and treatment target are combined, the fault maintenance priority and the civil engineering structure reinforcement and treatment priority of the electromechanical facility are respectively calculated by adopting an analytic hierarchy process, and the tunnel maintenance and treatment priority is sequenced;
s6, expert demonstration of developing maintenance investment schemes, comprising the following steps:
s6-1: synchronizing fault, disease and state parameter data of the BIM model;
s6-2, the expert refers to the relevant data and the electronic archive data in the BIM through VR virtual reality technology;
s6-3, carrying out on-line technical demonstration, mainly aiming at a maintenance and treatment scheme adopted by a tunnel needing to be subjected to maintenance and treatment;
s7: and repairing, compiling and maintaining the investment scheme according to the online technical demonstration result.
The invention provides a BIM-based tunnel multi-source heterogeneous data fusion decision method and platform, wherein a maintenance investment decision algorithm based on an analytic hierarchy process can realize network-level maintenance treatment priority sequencing, a visual BIM model is taken as a multi-source heterogeneous data carrier, full life cycle data fusion can be applied to the research and selection of electromechanical facility fault maintenance and civil structure reinforcement treatment schemes, VR virtual reality is applied to an expert demonstration process, and scientific maintenance decision based on big data analysis for a tunnel is realized.
The present invention is not limited to the above-described examples, and various changes can be made without departing from the spirit and scope of the present invention within the knowledge of those skilled in the art.

Claims (4)

1. A road tunnel multi-source heterogeneous data fusion decision-making system based on BIM is characterized by comprising: the system comprises an operation and maintenance basic data unit, a BIM visual model unit, a disease intelligent acquisition unit, a disease maintenance tracking unit, a technical condition evaluation unit, a structure monitoring and early warning unit, a maintenance investment decision unit, a virtual reality demonstration unit, a cloud server and a client;
the operation and maintenance basic data unit comprises tunnel basic condition information and is used for maintaining charge per kilometer per year, frequent annual inspection times and annual average precipitation information related to investment decision calculation;
the technical condition evaluation unit automatically scores according to technical Specifications for Highway tunnel maintenance (JTG H12-2015) and development conditions of diseases, and generates a disease development graph and an evaluation report;
the structure monitoring and early warning unit is used for deploying deformation, strain and test elements for the highway tunnel with low evaluation score aiming at the technical condition of the lining water leakage, monitoring the mechanical behavior change of the structure, and setting an early warning threshold value to early warn abnormal response;
the maintenance investment decision unit automatically calculates the cost according to the fault maintenance measures of the electromechanical facilities and the reinforcement treatment measures of the civil engineering structure, realizes the maintenance priority ranking based on an analytic hierarchy process, and automatically generates a distribution scheme of limited expenses and a distribution scheme aiming at a special target; the electromechanical facility fault maintenance measures are to set different types of faults of the tunnel electromechanical facility and corresponding maintenance methods, unit prices and units; the civil engineering structure reinforcing treatment measures comprise setting a highway tunnel reinforcing treatment scheme, unit price and unit; the maintenance priority ranking is realized based on the analytic hierarchy process, and different priority ranking algorithms are provided for maintenance of electromechanical facilities and treatment of civil structures.
2. The BIM-based road tunnel multi-source heterogeneous data fusion decision making system according to claim 1, characterized in that the BIM visual model unit directly displays electromechanical faults, disease information, structure monitoring measuring points and technical condition evaluation results, and checks corresponding electronic files, material conditions and state parameters after clicking a specific position, thereby supporting VR roaming and realizing the demonstration of the rationality of a tunnel maintenance treatment scheme in a virtual reality environment; the electronic file comprises construction period, operation period, drawing and report data.
3. The BIM-based road tunnel multi-source heterogeneous data fusion decision-making system is characterized in that the maintenance investment decision-making unit carries out intelligent auxiliary decision-making by fusing an operation and maintenance basic data unit by taking frequent inspection and maintenance, periodic inspection and maintenance information as basic data support and taking a technical condition evaluation unit calculation result as direct support aiming at fault maintenance and reinforcement treatment; the maintenance investment decision unit follows the following process:
dividing the road network tunnel into a tunnel which needs to be maintained and treated and a tunnel which possibly needs to be maintained and treated, and respectively calculating the failure maintenance priority of the electromechanical facility and the reinforcement treatment priority of the civil engineering structure, wherein: when the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; the civil engineering structure technical condition is 4 or 5 types, or when the evaluation condition value of the opening, the opening door, the lining, the pavement, the suspended ceiling and the embedded part is 3 or 4, the maintenance is necessary;
the maintenance investment decision unit establishes an electromechanical facility maintenance priority evaluation index system and a civil engineering structure reinforcement priority evaluation index system based on an analytic hierarchy process, and comprises two types of safety indexes and importance indexes, wherein:
the electromechanical facility safety indexes comprise: annual per kilometer charge amount, route grade, tunnel traffic engineering and affiliated facility configuration grade and tunnel length;
the electromechanical facility importance indexes include: evaluating the technical condition of the tunnel electromechanical facilities by total points, operation years, frequent annual inspection times and whether inclined shaft indexes exist;
the civil engineering structure safety indexes comprise: annual per kilometer charge amount, route grade, tunnel length and tunnel span;
the civil structure importance indexes comprise: the technical condition evaluation total score, the operation age, the annual frequent inspection times, the surrounding rock characteristics, the annual average precipitation and the underground water development degree of the tunnel civil engineering structure;
the annual charge per kilometer, the route grade, the tunnel length, the tunnel span, the operation age, the configuration grade of tunnel traffic engineering and auxiliary facilities, the annual frequent inspection times, whether inclined shaft indexes exist, the surrounding rock characteristics, the annual average precipitation and the development degree of underground water are all obtained from an operation and maintenance basic data unit; the total evaluation scores of the technical conditions of the electromechanical facilities and the total evaluation scores of the technical conditions of the civil engineering structure are obtained from a technical condition evaluation unit;
the maintenance investment decision unit determines the weight of electromechanical facilities according to an expert survey method to be an importance index of 0.33 and a safety index of 0.67; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.315, the route level is 0.127, the configuration level of tunnel traffic engineering and affiliated facilities is 0.147, and the tunnel length is 0.081; the technical condition evaluation total score of the tunnel electromechanical facilities is 0.140, the operation age is 0.076, the annual frequent inspection times are 0.051, and whether an inclined shaft index is 0.063 exists;
aiming at the civil engineering structure, the weight determined according to the expert survey method is 0.33 of importance index and 0.67 of safety index; calculating the weight of each index according to an analytic hierarchy process: the annual per kilometer charge amount is 0.241, the route level is 0.101, the tunnel length is 0.107 and the tunnel span is 0.221; the technical condition evaluation total score of the tunnel civil engineering structure is 0.099, the operation year is 0.043, the annual frequent inspection times are 0.026, the surrounding rock characteristic is 0.066, the annual average precipitation is 0.040, and the underground water development degree is 0.056;
in the maintenance investment decision unit, the selected decision parameters are determined to take values according to a 5-standard degree method, and the evaluation indexes of the electromechanical facilities take the following values:
according to
Figure FDA0003599593590000021
Or
Figure FDA0003599593590000022
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first level road, 3-second level road, 2-third level road and 1-fourth level road;
the decision index values of the configuration grade of the tunnel traffic engineering and the attached facilities are as follows: 5-A +, 4-A, 3-B, 2-C, 1-D;
tunnel length classification index value: 5-extra-long tunnel, 4-long tunnel, 3-medium tunnel, 2-short tunnel;
the technical condition evaluation total score decision index value: 5- [84, 92), 3- [92, 97), 2- [97,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, + ∞);
whether an inclined shaft decision index value exists or not: 5-arranging an inclined vertical shaft, and 1-arranging a non-inclined vertical shaft;
the civil engineering structure evaluation index values are as follows:
according to
Figure FDA0003599593590000031
Or
Figure FDA0003599593590000032
And calculating a result to obtain a decision index value of the charge per kilometer: 5- [2.5, + ∞),4- [2.0, 2.5), 3- [1.5,2.0), 2- [1.0, 1.5), 1- [0, 1.5);
taking the route grade decision index: 5-expressway, 4-first level road, 3-second level road, 2-third level road and 1-fourth level road;
tunnel length decision index value: 5-extra long tunnel, 4-long tunnel, 3-middle tunnel, 2-short tunnel;
tunnel span decision index value: 5-super large span, 4-large span, 3-middle span and 2-small span;
the technical condition evaluation total score decision index value: 5- [55, 70), 3- [70, 85), 2- [85,100 ];
and (3) operation age decision index value: 5- [30, + ∞),4- [20,30),3- [10,20),4- [5,10),5- [0, 5);
frequent inspection decision index values: 5-0, 4- [0, 12), 3- [12,24), 2- [24,36),1- [36, + ∞);
and (3) taking the characteristic decision index of the surrounding rock: 5-surrounding rock has expansibility, 4-soil surrounding rock has softening property or a fracture zone exists in the rock surrounding rock, 3-soil surrounding rock has collapsible property or rock surrounding rock fracture development, and 1-no bad characteristic exists;
taking the average precipitation decision index value in the regional year: 5- [700, + ∞),4- [550,700),3- [400,550),4- [200,400),5- [0,200);
and (3) taking the groundwater development condition decision index: 5-groundwater development, 1-groundwater not development.
4. The BIM-based road tunnel multi-source heterogeneous data fusion decision-making system according to claim 3, wherein the maintenance investment decision-making unit adopts a specific algorithm as follows:
aiming at maintenance decision of electromechanical facilities, the tunnel set which has obvious fault and influences operation safety is assumed to be A and contains t A Each element, other tunnels are set as B, and t is contained in B When the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; if electromechanical facilities maintenance cost S 1 Maintenance cost S less than or equal to set A A Then, only the set A is maintained; if maintenance cost S 1 Maintenance cost S > set A A Performing maintenance priority calculation on the set B according to the maintenance priority evaluation index; let the priority evaluation index of the electromechanical facility be P y With a weight of W y Y is the number of decision index, tunnel B i Each decision index P y Is taken as p y-i Then tunnel B i Maintenance priority score of I Bi =20∑W y ·p y-i Value range of
Figure FDA0003599593590000048
Set B repair priority scores are ordered from high to low as: b is 1 ,B 2 … …, corresponding maintenance cost m 1 ,m 2 … …, when satisfied
Figure FDA0003599593590000041
When the maintenance tunnel of the set B is B 1 ,B 2 ,……,B x The maintenance priority of the set B is calculated;
aiming at a civil structure treatment decision, assuming that a tunnel set which has obvious diseases and affects operation safety is C and contains t C Each element, the other tunnels are D, and t is contained D When the technical condition of the electromechanical facility is 4 types or the subentry evaluation condition value of the electromechanical facility is 3, the electromechanical facility must be maintained; if the civil engineering structure maintenance cost S 2 Maintenance cost S less than or equal to set C C Then, only the set C is maintained; if maintenance cost S 2 Maintenance expenses S > Collection C C Performing maintenance priority calculation on the set D according to the maintenance priority evaluation index; the civil engineering structure priority evaluation index is set as Q y With a weight of V y Y is the number of decision index, tunnel D i Each decision index Q y Is taken as q y-i Then tunnel D i Maintenance priority score of I Di =20∑V y ·q y-i Value range of
Figure FDA0003599593590000049
Set D repair priority scores are ordered from high to low as: d 1 ,D 2 … …, corresponding maintenance cost n 1 ,n 2 … …, when satisfied
Figure FDA0003599593590000042
Then, the set D maintains the tunnel as D 1 ,D 2 ,……,D y Completing the calculation of the maintenance priority of the set D;
for the calculation of the maintenance priority evaluation index considering special requirements, the following algorithm is introduced:
when the maintenance priority grade is calculated according to the average value of the technical conditions of the whole tunnel electromechanical facilities of the road network, setting a tunnel B i The technical status is rated as e i Required for maintenanceFee m i Setting a score contribution index
Figure FDA0003599593590000043
Figure FDA0003599593590000044
Figure FDA0003599593590000045
When the average value optimization algorithm is adopted according to the technical condition of the whole tunnel electromechanical facility of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure FDA0003599593590000046
when the maintenance priority grade is graded according to the road network whole tunnel civil engineering structure average value optimal algorithm, a tunnel D is arranged i The technical status is scored as f i The required cost of maintenance is n i Setting a score contribution index
Figure FDA0003599593590000047
Figure FDA0003599593590000051
Figure FDA0003599593590000052
When the method is based on the road network whole tunnel civil engineering structure technical condition average value optimal algorithm, the maintenance priority scoring technical method comprises the following steps:
Figure FDA0003599593590000053
when the maintenance priority grade is the least algorithm of the number of the three types of tunnels according to the technical condition of the whole electromechanical facilities of the road network, setting a tunnel B i Technical status is scored as e i The required maintenance cost is m i Setting a quantitative contribution index
Figure FDA0003599593590000054
Figure FDA0003599593590000055
Figure FDA0003599593590000056
When the number of the three types of tunnels is calculated to be the least in proportion according to the technical conditions of the whole tunnel electromechanical facilities of the road network, the maintenance priority scoring technical method comprises the following steps:
Figure FDA0003599593590000057
when the maintenance priority grade is the least algorithm of the number of the three types of tunnels according to the technical condition of the whole civil engineering structure of the road network, a tunnel D is set i The technical status is scored as f i The required cost of maintenance is n i Setting a quantitative contribution index
Figure FDA0003599593590000058
Figure FDA0003599593590000059
Figure FDA00035995935900000510
When the technical status of the whole tunnel civil engineering structure of the road network is the minimum algorithm of the number of the three types of tunnels, the technical method for scoring the maintenance priority comprises the following steps:
Figure FDA00035995935900000511
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