CN114723350A - Method and device for analyzing influence of blocked passage of post-earthquake road on building repair progress - Google Patents

Method and device for analyzing influence of blocked passage of post-earthquake road on building repair progress Download PDF

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CN114723350A
CN114723350A CN202210649746.XA CN202210649746A CN114723350A CN 114723350 A CN114723350 A CN 114723350A CN 202210649746 A CN202210649746 A CN 202210649746A CN 114723350 A CN114723350 A CN 114723350A
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许镇
吴莹莹
郝新田
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University of Science and Technology Beijing USTB
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Abstract

The invention discloses a method and a device for analyzing influence of blocked road traffic on building repair progress after earthquake, and relates to the technical field of civil engineering and computers. The method comprises the following steps: according to the post-earthquake road trafficability condition, building an abstract model of the urban road network by adopting a scale-free network model; comprehensively considering factors such as road length, vehicle speed road condition, post-earthquake road accessibility and the like, and calculating the optimal path of the vehicle to the restoration destination; selecting 'transportation time' as an evaluation index, and calculating delay time caused by single transportation; the delay time of single transportation is used as a basic unit, influences are split into each sub-project work of the repair project, the delay time of the overall project progress is calculated, and influences of road trafficability blockage on the building repair process after an earthquake occurs are quantified. The invention provides an optimal path selection method comprehensively considering influences of factors such as material transportation travel, vehicle speed, road trafficability and the like based on post-earthquake road trafficability conditions, and quantifies road influences by taking transportation time as an index.

Description

Method and device for analyzing influence of blocked passage of post-earthquake road on building repair progress
Technical Field
The invention relates to the technical field of civil engineering and computers, in particular to a method and a device for analyzing influence of blocked passage on building repair progress after earthquake.
Background
"urban toughness" has become a new idea and a new target of current research. Under the concept of toughness, not only the direct loss of a city after a disaster is encountered, but also the recovery capability of each function of the city is concerned. Countless catastrophic events show that the transportation system is a key point of a disaster-stricken community, and when the recovery of the building after the earthquake is considered, the influence of the blocked passage of the road after the earthquake on the repair progress of the building after the earthquake can not be ignored.
The influence of the blocked passage of the road after the earthquake on the building repair progress after the earthquake refers to the influence of time delay caused by road factors on the building repair progress under the conditions of preliminary opening of the road to the disaster area after the disaster, transportation capacity shortage, limited material supply and limited site area.
For engineering projects, resource supply is a key factor for ensuring smooth construction of the projects, and is also an unavoidable problem in engineering management and control. Particularly, under the working condition that the urban function is gradually recovered after disasters, the method can be distributed to repair materials, manpower and machinery of a certain building, and even the capital investment is greatly limited. The key to whether the project can be completed and the time-consuming geometry under the condition is to make a reasonable repair progress plan and ensure the smooth implementation of the repair progress plan. When the existing construction schedule is planned, the influence of traffic factors is rarely considered. The current Research (Hwang S, Park M, Lee H S, et al. Hybrid positioning architecture for the evaluation of building failure restoration after a catalytic disturbance monitor [ J ]. Journal of Construction Engineering and Management, 2016, 142(8): 04016026; Miles S B, Chang S E. Modeling comfort from earth standards [ J ]. Earth standards, 2006, 22(2): 439 458; Chang, Stephanie E. and Scott B. Miles "structural comfort: monitoring Engineering modification" MCEER Research monitoring Engineering and repair index [ 2003 ] is a quantitative assessment of the impact of the building failure on the basis of the analysis of the building failure in the building S, Park M, Lee H S, et al. Hybrid positioning architecture [ J ]. EER repair Engineering and repair [ 2003 ], EER repair index [ 148 ] and EER repair index, EER repair index [ 148 ] in the macro-based assessment process.
The road traffic network is an important component of the main frame of the city and is an indispensable supporting element for the normal operation of the city. Once a disaster occurs, urban traffic conditions become more complicated, and if the influence of the change of the transportation route is not taken into consideration when making a repair plan, it is highly likely that the delivery of construction materials is delayed. At the engineering level, a chain reaction may be made to the progress of the repair, and if these materials are critical, the engineering may be temporarily shut down as a result. Therefore, it is necessary to provide a method for analyzing the influence of the passage blockage of the post-earthquake road on the building repair progress.
Disclosure of Invention
The invention provides a method and a device for analyzing influence of blocked road traffic on building repair progress in an earthquake, aiming at solving the problem that influence of blocked road traffic on building repair progress in a region in which the disaster can not be analyzed quantitatively in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme:
on the one hand, the method for analyzing the influence of blocked passage of the road after the earthquake on the building repair progress is provided, and comprises the following steps:
s1: according to the post-earthquake road trafficability condition, adopting a scale-free network model to perform abstract conversion on a real urban road network, and building an abstract model of the urban road network;
s2: according to the constructed abstract model of the urban road network, comprehensively considering the road length, the vehicle speed and the road condition and the accessibility factors of the road after the earthquake, and calculating the optimal path of the repaired material transport vehicle to the repair destination;
s3: selecting 'transportation time' as an evaluation index, and calculating delay time caused by single transportation;
s4: and taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-project work of the repair project, calculating the delay time of the overall project progress, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
Optionally, in step S1, the abstract model of the urban road network
Figure 636386DEST_PATH_IMAGE001
The definition is as follows:
Figure 889513DEST_PATH_IMAGE002
wherein,
Figure 707296DEST_PATH_IMAGE003
indicating points
Figure 768793DEST_PATH_IMAGE004
To its neighboring point
Figure 115461DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 855884DEST_PATH_IMAGE006
indicating points
Figure 415041DEST_PATH_IMAGE004
To its neighboring point
Figure 393362DEST_PATH_IMAGE005
The road condition weight of;
Figure 19253DEST_PATH_IMAGE007
indicating points
Figure 981392DEST_PATH_IMAGE004
To its neighboring point
Figure 609820DEST_PATH_IMAGE005
Accessibility of the cell.
Optionally, a point
Figure 708226DEST_PATH_IMAGE004
To its neighboring point
Figure 459013DEST_PATH_IMAGE005
Weight of the driver
Figure 439607DEST_PATH_IMAGE003
The value is shown in the following formula (1):
Figure 606147DEST_PATH_IMAGE008
wherein,
Figure 559059DEST_PATH_IMAGE009
is a point
Figure 949589DEST_PATH_IMAGE004
To its neighboring point
Figure 27267DEST_PATH_IMAGE005
The road segment length of (a);
Figure 935180DEST_PATH_IMAGE010
is the maximum of all link lengths.
Optionally, a point
Figure 539336DEST_PATH_IMAGE004
To its neighboring point
Figure 976134DEST_PATH_IMAGE005
Road condition weight of
Figure 665741DEST_PATH_IMAGE006
The value is shown in the following formula (2):
Figure 846187DEST_PATH_IMAGE011
wherein,
Figure 570429DEST_PATH_IMAGE012
the maximum value of the running speed of the vehicle between the nodes is obtained;
Figure 443707DEST_PATH_IMAGE013
is the travel speed of the vehicle between the nodes.
Optionally, a point
Figure 495977DEST_PATH_IMAGE004
To its neighboring point
Figure 339168DEST_PATH_IMAGE005
Accessibility of
Figure 58862DEST_PATH_IMAGE007
The values include:
Figure 962096DEST_PATH_IMAGE014
wherein
Figure 501662DEST_PATH_IMAGE015
indicating that the road is normal;
Figure 972763DEST_PATH_IMAGE016
indicating that the road is restricted;
Figure 546964DEST_PATH_IMAGE017
indicating a road block.
Optionally, in step S2, calculating an optimal path from the repaired material transportation vehicle to the repair destination according to the constructed abstract model of the urban road network and by comprehensively considering factors of road length, vehicle speed, road condition, and post-earthquake road accessibility, including:
s21: assuming common use in abstract models of urban road networks
Figure 496465DEST_PATH_IMAGE018
A node for selecting a transportation starting point
Figure 382381DEST_PATH_IMAGE019
And terminal of transportation
Figure 973900DEST_PATH_IMAGE020
(ii) a The transport origin
Figure 261662DEST_PATH_IMAGE019
And terminal of transportation
Figure 382064DEST_PATH_IMAGE020
Are all made of
Figure 20856DEST_PATH_IMAGE021
A point in the individual nodes;
s22: defining a set S; the set S is used for storing the vertex of the shortest path which is obtained in the searching process and the length or the weight of the vertex, and the set S is an empty set in the initial state;
s23: defining a set U, wherein the set U is used for storing the top point and the length or the weight of the shortest path which is not solved in the searching process, the set U is a complete set in an initial state, and the weight of all points in the abstract model of the urban road network is
Figure 150486DEST_PATH_IMAGE022
；
S24: setting a starting point
Figure 168121DEST_PATH_IMAGE019
Weight of (2)
Figure 849638DEST_PATH_IMAGE023
And will be
Figure 585513DEST_PATH_IMAGE019
(ii) falls into said set S;
s25: finding in said set U
Figure 112309DEST_PATH_IMAGE019
Of the neighboring nodes of (1) the node with the smallest weight
Figure 109084DEST_PATH_IMAGE024
Will be
Figure 836868DEST_PATH_IMAGE024
Inserting into the set S;
Figure 919094DEST_PATH_IMAGE024
is composed of
Figure 390527DEST_PATH_IMAGE021
A point in the individual nodes;
s26: search and
Figure 507387DEST_PATH_IMAGE024
adjacent but not to
Figure 202811DEST_PATH_IMAGE019
Adjacent nodes in the set U
Figure 37911DEST_PATH_IMAGE025
Is provided with
Figure 47456DEST_PATH_IMAGE026
At this time, it is considered that
Figure 18823DEST_PATH_IMAGE019
And
Figure 353989DEST_PATH_IMAGE024
are the same node, and are connected with each other,
Figure 286173DEST_PATH_IMAGE025
and the side of the substrate adjacent to the substrate,
Figure 224042DEST_PATH_IMAGE025
has a weight of
Figure 49916DEST_PATH_IMAGE025
To
Figure 290404DEST_PATH_IMAGE024
The sum of the weights of the edges
Figure 975463DEST_PATH_IMAGE024
To
Figure 451444DEST_PATH_IMAGE019
The sum of the weights of the edges;
s27: steps S25-S26 are repeatedly executed until all nodes enter the set S or the end point
Figure 538349DEST_PATH_IMAGE020
Having entered set S, the optimal path is obtained.
Alternatively, in step S3, the delay time caused by a single transportation is calculated from the time cost taken for the vehicle to transport along the optimal path, and is calculated according to the following formula (3):
Figure 808793DEST_PATH_IMAGE027
wherein,
Figure 981149DEST_PATH_IMAGE028
representing the delay time of a single transport in units of work days;
Figure 136186DEST_PATH_IMAGE029
the transportation time of the goods and materials transportation after earthquake is shown,
Figure 936652DEST_PATH_IMAGE030
the stroke length of the material transportation after the earthquake is shown,
Figure 518943DEST_PATH_IMAGE031
representing the driving speed of the material transportation after the earthquake;
Figure 303228DEST_PATH_IMAGE032
represents the transportation time of the material transportation before earthquake,
Figure 996378DEST_PATH_IMAGE033
the travel length of the material transportation before earthquake is shown,
Figure 916929DEST_PATH_IMAGE034
representing the traveling speed of the material transportation before earthquake.
Optionally, in step S4, the delay time calculation of the overall project progress is calculated by calculating the corresponding transportation lot through the engineering quantity and the mechanical personnel allocation of each construction section, and combining the time delay that may be generated by a single transportation, and is calculated according to the following formula (4):
Figure 935701DEST_PATH_IMAGE035
wherein,
Figure 551490DEST_PATH_IMAGE036
indicating professional construction team in construction period
Figure 907385DEST_PATH_IMAGE004
On-site completion of construction process
Figure 823389DEST_PATH_IMAGE005
The running water beat of;
Figure 872116DEST_PATH_IMAGE037
indicating the procedure
Figure 240780DEST_PATH_IMAGE005
In the construction section
Figure 665946DEST_PATH_IMAGE004
The engineering quantity of (1);
Figure 170876DEST_PATH_IMAGE038
indicating the procedure
Figure 390505DEST_PATH_IMAGE005
Manual rating of (3);
Figure 246466DEST_PATH_IMAGE039
indicating the procedure
Figure 85109DEST_PATH_IMAGE005
The number of professional construction teams;
Figure 349606DEST_PATH_IMAGE040
indicating the procedure
Figure 615502DEST_PATH_IMAGE005
The professional construction team works every day;
Figure 552234DEST_PATH_IMAGE041
indicating the procedure
Figure 928988DEST_PATH_IMAGE005
Single transit delay time of (a);
Figure 267566DEST_PATH_IMAGE042
indicating the procedure
Figure 828997DEST_PATH_IMAGE005
Single transport capacity of (a).
On the one hand, the invention provides an analysis device for influence of blocked road traffic on building repair progress, which is suitable for any one of the above methods and is applied to electronic equipment, and the device comprises:
the abstract model building module is used for carrying out abstract conversion on the actual urban road network by adopting a scale-free network model according to the post-earthquake road trafficability condition and building an abstract model of the urban road network;
the optimal path calculation module is used for calculating the optimal path of the repaired material transport vehicle to the repair destination according to the constructed abstract model of the urban road network and by comprehensively considering the factors of road length, vehicle speed and road condition and the accessibility of the road after the earthquake;
the delay time calculation module is used for selecting the transportation time as an evaluation index and calculating the delay time caused by single transportation;
and the influence analysis module is used for taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-item work of the repair project, calculating the delay time of the overall progress of the project, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
Optionally, the abstract model building module is also used for the abstract model of the urban road network
Figure 659550DEST_PATH_IMAGE043
The definition is as follows:
Figure 699050DEST_PATH_IMAGE044
wherein,
Figure 298659DEST_PATH_IMAGE003
indicating points
Figure 171937DEST_PATH_IMAGE004
To its neighboring point
Figure 94980DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 938171DEST_PATH_IMAGE006
indicating points
Figure 392286DEST_PATH_IMAGE004
To its neighboring point
Figure 295520DEST_PATH_IMAGE005
The road condition weight of;
Figure 835086DEST_PATH_IMAGE007
indicating points
Figure 357334DEST_PATH_IMAGE004
To its neighboring point
Figure 790589DEST_PATH_IMAGE005
Accessibility of the cell.
In one aspect, an electronic device is provided, where the electronic device includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the method for analyzing the influence of blocked passage on the progress of building repair.
In one aspect, a computer-readable storage medium is provided, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the method for analyzing the influence of blocked passage on the progress of building repair.
The technical scheme of the embodiment of the invention at least has the following beneficial effects:
in the scheme, the invention provides an analysis method and device for influence of post-earthquake road traffic obstruction on building repair progress, and the influence of post-disaster road obstruction on the building repair progress in the area is quantitatively analyzed by considering the condition of post-earthquake road obstruction. The method is beneficial to the government to formulate a reasonable and effective disaster prevention strategy and action plan, scientifically improves the resistance, adaptability and resilience of the city facing disasters, strengthens the safety and toughness of the city, provides more scientific, effective and reasonable decision support for comprehensive management of multiple disasters of the city and disaster prevention safety planning, and provides technical support for theoretical research of safe and tough city construction and relevant standard formulation.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an analysis method for influence of blocked passage on the progress of building restoration according to an embodiment of the present invention;
FIG. 2 is a flowchart of an analysis method for influence of blocked passage on the progress of building restoration according to an embodiment of the present invention;
FIG. 3 is a GIS model diagram of a local area road network of the method for analyzing the influence of the traffic blockage of the road after the earthquake on the building repair progress provided by the embodiment of the invention;
FIG. 4 is a road network abstract model diagram of an analysis method for influence of traffic blockage on building repair progress after an earthquake according to an embodiment of the present invention;
FIG. 5 is an optimal path diagram of resource transportation under daily conditions of an analysis method for influence of blocked road traffic on building repair progress provided by an embodiment of the invention;
FIG. 6 is a graph of post-disaster road network performance status of an analysis method for influence of blocked road traffic on building repair progress provided by an embodiment of the present invention;
FIG. 7 is a diagram of an optimal path for resource transportation under a post-disaster condition in an analysis method for influence of blocked passage on a building repair progress according to an embodiment of the present invention;
fig. 8 is a block diagram of an apparatus for analyzing an influence of a blocked passage on a building repair progress according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides an analysis method for influence of blocked passage of a post-earthquake road on building repair progress, which can be realized by electronic equipment, wherein the electronic equipment can be a terminal or a server. As shown in fig. 1, a flow chart of an analysis method for influence of blocked passage on building repair progress of a post-earthquake road is provided, and a processing flow of the method may include the following steps:
s101: according to the post-earthquake road trafficability condition, adopting a scale-free network model to perform abstract conversion on a real urban road network, and building an abstract model of the urban road network;
s102: according to the constructed abstract model of the urban road network, comprehensively considering the road length, the vehicle speed and the road condition and the accessibility factors of the road after the earthquake, and calculating the optimal path of the repaired material transport vehicle to the repair destination;
s103: selecting 'transportation time' as an evaluation index, and calculating delay time caused by single transportation;
s104: and taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-project work of the repair project, calculating the delay time of the overall project progress, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
Optionally, in step S101, the abstract model of the urban road network
Figure 5670DEST_PATH_IMAGE001
The definition is as follows:
Figure 157166DEST_PATH_IMAGE002
wherein,
Figure 217525DEST_PATH_IMAGE003
indicating points
Figure 911812DEST_PATH_IMAGE004
To its neighboring point
Figure 156849DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 638383DEST_PATH_IMAGE006
indicating points
Figure 502434DEST_PATH_IMAGE004
To its neighboring point
Figure 910282DEST_PATH_IMAGE005
The road condition weight of (2);
Figure 201586DEST_PATH_IMAGE007
indicating points
Figure 62094DEST_PATH_IMAGE004
To its neighboring point
Figure 729836DEST_PATH_IMAGE005
Accessibility of the cell.
Optionally, a point
Figure 133135DEST_PATH_IMAGE004
To its neighboring point
Figure 641346DEST_PATH_IMAGE005
Right of way weight
Figure 723572DEST_PATH_IMAGE003
The values are shown in the following formula (1):
Figure 195004DEST_PATH_IMAGE008
wherein,
Figure 311865DEST_PATH_IMAGE045
is a point
Figure 53294DEST_PATH_IMAGE004
To its neighboring point
Figure 498181DEST_PATH_IMAGE005
The road segment length of (a);
Figure 366780DEST_PATH_IMAGE046
is the maximum of all link lengths.
Optionally, a point
Figure 338147DEST_PATH_IMAGE004
To its neighboring point
Figure 142155DEST_PATH_IMAGE005
Road condition weight of
Figure 198973DEST_PATH_IMAGE006
The value is shown in the following formula (2):
Figure 277787DEST_PATH_IMAGE011
wherein,
Figure 103661DEST_PATH_IMAGE012
the maximum value of the running speed of the vehicle between the nodes is obtained;
Figure 344149DEST_PATH_IMAGE013
is the travel speed of the vehicle between the nodes.
Optionally, a point
Figure 888263DEST_PATH_IMAGE004
To its neighboring point
Figure 239610DEST_PATH_IMAGE005
Accessibility of
Figure 326515DEST_PATH_IMAGE007
The values include:
Figure 596959DEST_PATH_IMAGE014
wherein
Figure 769315DEST_PATH_IMAGE015
indicating that the road is normal;
Figure 60705DEST_PATH_IMAGE016
indicating that the road is restricted;
Figure 736537DEST_PATH_IMAGE017
indicating a road block.
Optionally, in step S102, calculating an optimal path from the repaired material transportation vehicle to the repair destination according to the constructed abstract model of the urban road network and by comprehensively considering factors of road length, vehicle speed, road condition, and post-earthquake road accessibility, including:
s121: suppose a city roadCommon in abstract model of road network
Figure 443462DEST_PATH_IMAGE018
A node for selecting a transportation starting point
Figure 837534DEST_PATH_IMAGE019
And terminal of transportation
Figure 655317DEST_PATH_IMAGE020
(ii) a The transport origin
Figure 716814DEST_PATH_IMAGE019
And terminal of transportation
Figure 63482DEST_PATH_IMAGE020
Are all made of
Figure 944850DEST_PATH_IMAGE021
A point in the individual nodes;
s122: defining a set S; the set S is used for storing the vertex of the shortest path which is obtained in the searching process and the length or the weight of the vertex, and the set S is an empty set in the initial state;
s123: defining a set U, wherein the set U is used for storing the top point and the length or the weight of the shortest path which is not solved in the searching process, the set U is a complete set in an initial state, and the weight of all points in the abstract model of the urban road network is
Figure 831904DEST_PATH_IMAGE022
；
S124: setting a starting point
Figure 482328DEST_PATH_IMAGE019
Weight of (2)
Figure 842640DEST_PATH_IMAGE023
And will be
Figure 945725DEST_PATH_IMAGE019
(ii) falls into said set S;
s125: finding in said set U
Figure 105311DEST_PATH_IMAGE019
Of the neighboring nodes of (1) the node with the smallest weight
Figure 875821DEST_PATH_IMAGE024
Will be
Figure 829870DEST_PATH_IMAGE024
Inserting into the set S;
Figure 685831DEST_PATH_IMAGE024
is composed of
Figure 649108DEST_PATH_IMAGE021
A point in the individual nodes;
s126: search and
Figure 8545DEST_PATH_IMAGE024
adjacent but not to
Figure 399075DEST_PATH_IMAGE019
Adjacent nodes in the set U
Figure 476752DEST_PATH_IMAGE047
Is provided with
Figure 243720DEST_PATH_IMAGE026
At this time, it is considered that
Figure 457664DEST_PATH_IMAGE019
And
Figure 284674DEST_PATH_IMAGE024
are the same node, and are connected with each other,
Figure 655175DEST_PATH_IMAGE047
and the adjacent part of the first and second side plates,
Figure 694675DEST_PATH_IMAGE048
has a weight of
Figure 887759DEST_PATH_IMAGE047
To
Figure 823354DEST_PATH_IMAGE024
The sum of the weights of the edges
Figure 734678DEST_PATH_IMAGE024
To
Figure 577869DEST_PATH_IMAGE019
The sum of the weights of the edges;
s127: steps S125-S126 are repeated until all nodes enter set S or end point
Figure 766405DEST_PATH_IMAGE020
Having entered set S, the optimal path is obtained.
Alternatively, in step S103, the delay time caused by a single transportation is calculated from the time cost taken by the vehicle to transport along the optimal path, and is calculated according to the following formula (1):
Figure 669639DEST_PATH_IMAGE027
wherein,
Figure 943625DEST_PATH_IMAGE028
representing the delay time of a single transport in units of work days;
Figure 590507DEST_PATH_IMAGE029
the transportation time of the goods and materials transportation after earthquake is shown,
Figure 164708DEST_PATH_IMAGE030
the stroke length of the material transportation after the earthquake is shown,
Figure 973264DEST_PATH_IMAGE031
representing the driving speed of the material transportation after the earthquake;
Figure 265705DEST_PATH_IMAGE032
represents the transportation time of the material transportation before earthquake,
Figure 450699DEST_PATH_IMAGE033
the travel length of the material transportation before earthquake is shown,
Figure 613827DEST_PATH_IMAGE034
representing the traveling speed of the material transportation before earthquake.
Optionally, in step S104, the delay time calculation of the overall project progress is calculated by calculating the corresponding transportation lot through the engineering quantity and the mechanical allocation of personnel of each construction section, and combining the time delay that may be generated by a single transportation, and is calculated according to the following formula (2):
Figure 858863DEST_PATH_IMAGE035
wherein,
Figure 373021DEST_PATH_IMAGE036
indicating professional construction team in construction period
Figure 361706DEST_PATH_IMAGE004
On-site completion of construction process
Figure 644920DEST_PATH_IMAGE005
The running water beat of;
Figure 326437DEST_PATH_IMAGE037
indicating the procedure
Figure 452525DEST_PATH_IMAGE005
In the construction section
Figure 120266DEST_PATH_IMAGE004
The engineering quantity of (1);
Figure 382621DEST_PATH_IMAGE038
indicating the procedure
Figure 110405DEST_PATH_IMAGE005
Manual rating of (3);
Figure 333576DEST_PATH_IMAGE039
indicating the procedure
Figure 398484DEST_PATH_IMAGE005
The number of professional construction teams;
Figure 515345DEST_PATH_IMAGE040
indicating the procedure
Figure 679610DEST_PATH_IMAGE005
The professional construction team works every day;
Figure 390077DEST_PATH_IMAGE041
indicating the procedure
Figure 993096DEST_PATH_IMAGE005
Single transit delay time of (a);
Figure 370988DEST_PATH_IMAGE042
indicating the procedure
Figure 299630DEST_PATH_IMAGE005
Single transport capacity of (a).
In the embodiment of the invention, the method for analyzing the influence of the road traffic blockage after the earthquake on the building repair progress is provided, and the influence of the road traffic blockage after the disaster on the building repair progress in the area is quantitatively analyzed by considering the road traffic blockage condition after the earthquake. The method is beneficial to the government to formulate a reasonable and effective disaster prevention strategy and action plan, scientifically improves the resistance, adaptability and resilience of the city facing disasters, strengthens the safety and toughness of the city, provides more scientific, effective and reasonable decision support for comprehensive management of multiple disasters of the city and disaster prevention safety planning, and provides technical support for theoretical research of safe and tough city construction and relevant standard formulation.
The embodiment of the invention provides an analysis method for influence of blocked passage of a post-earthquake road on building repair progress, which can be realized by electronic equipment, wherein the electronic equipment can be a terminal or a server. As shown in fig. 2, a flow chart of an analysis method for the influence of blocked passage on the progress of building repair, a processing flow of the method may include the following steps:
s201: according to the post-earthquake road trafficability condition, adopting a scale-free network model to perform abstract conversion on a real urban road network, and building an abstract model of the urban road network;
in one possible embodiment, in step S201, an abstract model of an urban road network
Figure 497393DEST_PATH_IMAGE043
The definition is as follows:
Figure 435262DEST_PATH_IMAGE044
wherein,
Figure 402081DEST_PATH_IMAGE003
indicating points
Figure 767203DEST_PATH_IMAGE004
To its neighboring point
Figure 186683DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 397085DEST_PATH_IMAGE006
indicating points
Figure 483989DEST_PATH_IMAGE004
To its neighboring point
Figure 20013DEST_PATH_IMAGE005
The road condition weight of (2);
Figure 926789DEST_PATH_IMAGE007
indicating points
Figure 940881DEST_PATH_IMAGE004
To its neighboring point
Figure 882293DEST_PATH_IMAGE005
Accessibility of the cell.
In one possible embodiment, the urban road network includes two basic elements, a road intersection and a road segment.
In one possible embodiment, the dots
Figure 730163DEST_PATH_IMAGE004
To its neighboring point
Figure 560453DEST_PATH_IMAGE005
Weight of the driver
Figure 253603DEST_PATH_IMAGE003
The values are shown in the following formula (1):
Figure 654715DEST_PATH_IMAGE008
wherein,
Figure 532541DEST_PATH_IMAGE045
is a point
Figure 132018DEST_PATH_IMAGE004
To its neighboring point
Figure 628859DEST_PATH_IMAGE005
The road segment length of (a);
Figure 403917DEST_PATH_IMAGE046
is the maximum of all link lengths.
In one possible embodiment, the dots
Figure 62431DEST_PATH_IMAGE004
To its neighboring point
Figure 211522DEST_PATH_IMAGE005
Road condition weight of
Figure 371108DEST_PATH_IMAGE006
The values are shown in the following formula (2):
Figure 141617DEST_PATH_IMAGE011
wherein,
Figure 95667DEST_PATH_IMAGE012
the maximum value of the running speed of the vehicle between the nodes is obtained;
Figure 200895DEST_PATH_IMAGE013
is the travel speed of the vehicle between the nodes.
The relevant values refer to the following table 1:
TABLE 1
Figure 898593DEST_PATH_IMAGE049
In one possible embodiment, the dots
Figure 258030DEST_PATH_IMAGE004
To its neighboring point
Figure 491303DEST_PATH_IMAGE005
Accessibility of
Figure 428035DEST_PATH_IMAGE007
The values include:
Figure 663844DEST_PATH_IMAGE014
wherein
Figure 268001DEST_PATH_IMAGE015
indicating that the road is normal;
Figure 970378DEST_PATH_IMAGE016
indicating road restrictions；
Figure 535351DEST_PATH_IMAGE017
Indicating a road block.
In a possible implementation, the implementation process of the method of the present embodiment is further described according to the following practical application examples:
taking a certain area as an example, the ArcGIS platform is selected for data processing and presentation, the real condition of the road network in the selected area is firstly described in the GIS platform according to the satellite image map in an actual proportion, and information such as road length, design speed and the like is input. The results are shown in FIG. 3.
The scale-free network model abstraction is carried out on the road network of the selected area by using an original method, road intersections are abstracted into nodes, road sections are abstracted into edges connecting the nodes, and the obtained result is shown in figure 4. The undirected graph obtained by abstraction has 56 nodes and 63 edges.
S202: assuming common use in abstract models of urban road networks
Figure 574851DEST_PATH_IMAGE018
A node for selecting a transportation starting point
Figure 174460DEST_PATH_IMAGE019
And terminal of transportation
Figure 906793DEST_PATH_IMAGE020
(ii) a Origin of transportation
Figure 959062DEST_PATH_IMAGE019
And terminal of transportation
Figure 802253DEST_PATH_IMAGE020
Are all made of
Figure 256368DEST_PATH_IMAGE021
A point in the individual nodes;
s203: defining a set S; the set S is used for storing the vertex of the shortest path which is obtained in the searching process and the length or the weight of the vertex, and the set S is an empty set in the initial state;
s204: defining a set U, wherein the set U is used for storing the top point and the length or the weight of the shortest path which is not solved in the searching process, the set U is a complete set in an initial state, and the weight of all points in the abstract model of the urban road network is
Figure 159602DEST_PATH_IMAGE022
；
S205: setting a starting point
Figure 558223DEST_PATH_IMAGE019
Weight of (2)
Figure 346050DEST_PATH_IMAGE023
And will be
Figure 654672DEST_PATH_IMAGE050
(ii) falls into said set S;
s206: finding in said set U
Figure 740526DEST_PATH_IMAGE050
Of the neighboring nodes of (1) the node with the smallest weight
Figure 343DEST_PATH_IMAGE024
Will be
Figure 185337DEST_PATH_IMAGE024
Inserting into the set S;
Figure 473099DEST_PATH_IMAGE024
is composed of
Figure 593502DEST_PATH_IMAGE021
A point in the individual nodes;
s207: search and
Figure 232293DEST_PATH_IMAGE024
adjacent but not to
Figure 96344DEST_PATH_IMAGE019
Adjacent to each otherNodes in the set U
Figure 238613DEST_PATH_IMAGE051
Is provided with
Figure 795496DEST_PATH_IMAGE026
At this time, it is considered that
Figure 796950DEST_PATH_IMAGE019
And
Figure 589325DEST_PATH_IMAGE024
are the same node, and are connected with each other,
Figure 461466DEST_PATH_IMAGE025
and the adjacent part of the first and second side plates,
Figure 313885DEST_PATH_IMAGE025
has a weight of
Figure 802635DEST_PATH_IMAGE025
To
Figure 133122DEST_PATH_IMAGE024
The sum of the weights of the edges
Figure 859770DEST_PATH_IMAGE024
To
Figure 883089DEST_PATH_IMAGE019
The sum of the weights of the edges;
s208: steps S206-S207 are repeated until all nodes enter set S or end point
Figure 593556DEST_PATH_IMAGE020
Having entered set S, the optimal path is obtained.
In a feasible implementation manner, the optimal path refers to a path with the shortest transportation time after factors such as road length, vehicle speed, road condition and road accessibility are comprehensively considered. According to the established abstract model of the urban road network, the optimal path of the repair material transport vehicle to the repair destination is calculated by comprehensively considering the road length, the vehicle speed and the road condition and the reachability factor of the road after the earthquake.
In a possible implementation, the weights of the corresponding edges are calculated according to the attribute values input in the GIS data, and the optimal path of the daily material transportation in the city is shown in fig. 5 under the condition of considering the restriction of the vehicle distance and the driving speed.
In fig. 5, target points 1 and 3 are repair resource supply points, and target point 2 is a single building to be repaired. With the 'shortest transportation time' as the target, the required travel is 5673 meters under the daily condition if the materials scattered at two places are transported to the target point 2, and the total time is 13 minutes under the condition of not considering the influence of traffic lights.
And calculating and analyzing the traffic capacity of the post-earthquake roads in the selected area to obtain the result shown in figure 6.
Setting the weight of the edge in the undirected graph, i.e. adding it, in combination with the road trafficability
Figure 727735DEST_PATH_IMAGE007
Influence of the elements: for unaffected roads, take
Figure 292577DEST_PATH_IMAGE052
(ii) a For the road in the 'limited state', the vehicle is considered to pass through, but the passing time is obviously increased compared with the normal condition, so that the method is taken
Figure 96585DEST_PATH_IMAGE053
(ii) a For "blocked road", it is considered herein that since a vehicle cannot pass through for a certain period of time, he will choose to bypass the road section and take it in the emergency phase of the post-disaster rescue
Figure 418982DEST_PATH_IMAGE054
。
The traffic speed, the road length and the road trafficability of the post-disaster vehicles are comprehensively considered, the 'shortest transportation time' is taken as a target, the optimal transportation path after earthquake is calculated, the total length is 6166.6 m, and the total time is 23 minutes under the condition that the influence of traffic lights is not considered. The results are shown in FIG. 7.
S209: and selecting the 'transportation time' as an evaluation index, and calculating the delay time caused by single transportation.
In one possible embodiment, the delay time caused by a single transport is calculated from the time cost taken for the vehicle to transport along the optimal path, and is calculated according to the following formula (3):
Figure 966638DEST_PATH_IMAGE027
wherein,
Figure 792511DEST_PATH_IMAGE028
representing the delay time of a single transport in units of work days;
Figure 892054DEST_PATH_IMAGE029
the transportation time of the goods and materials transportation after earthquake is shown,
Figure 577114DEST_PATH_IMAGE030
the stroke length of the material transportation after the earthquake is shown,
Figure 53094DEST_PATH_IMAGE031
representing the driving speed of the material transportation after the earthquake;
Figure 874420DEST_PATH_IMAGE032
represents the transportation time of the material transportation before earthquake,
Figure 410443DEST_PATH_IMAGE033
the travel length of the material transportation before earthquake is shown,
Figure 317220DEST_PATH_IMAGE034
the running speed of the material transportation before earthquake is shown.
In a feasible implementation mode, according to the travel length and the transportation time which are respectively calculated under two working conditions, the single time delay of the regional road network for transporting the repair materials can be calculatedRetardation rate
Figure 331312DEST_PATH_IMAGE028
Comprises the following steps:
Figure 272723DEST_PATH_IMAGE055
and (5) working day.
S210: the delay time of single transportation is used as a basic unit, the traffic influence is split into each sub-project work of the repair project, the delay time of the overall project progress is calculated, the influence of road trafficability blockage on the building repair process after an earthquake occurs is quantified, and the analysis of the influence on the building repair progress is completed.
In one possible embodiment, the traffic impact is embodied in the transport of repair materials, the mechanical approach of personnel, the transport of construction waste, etc. The repair delays for the different processes are then calculated according to the method described above to obtain the delay time for the entire project.
In a possible embodiment, the delay time calculation of the overall project progress is that the corresponding transportation batch is calculated through the engineering quantity and the personnel mechanical distribution of each construction section, and the delay time calculation is obtained by combining the time delay which can be generated by single transportation according to the following formula (4):
Figure 714069DEST_PATH_IMAGE035
wherein,
Figure 108141DEST_PATH_IMAGE036
indicating professional construction team in construction period
Figure 66870DEST_PATH_IMAGE004
On-site completion of construction process
Figure 987421DEST_PATH_IMAGE005
The running water beat of;
Figure 740614DEST_PATH_IMAGE037
indicating the procedure
Figure 605670DEST_PATH_IMAGE005
In the construction section
Figure 707705DEST_PATH_IMAGE004
The engineering quantity of (1);
Figure 358129DEST_PATH_IMAGE038
indicating the procedure
Figure 406856DEST_PATH_IMAGE005
Manual rating of (3);
Figure 821526DEST_PATH_IMAGE039
indicating the procedure
Figure 122057DEST_PATH_IMAGE005
The number of professional construction teams;
Figure 626988DEST_PATH_IMAGE040
indicating the procedure
Figure 846617DEST_PATH_IMAGE005
The professional construction team works every day;
Figure 561632DEST_PATH_IMAGE041
indicating the procedure
Figure 400275DEST_PATH_IMAGE005
Single transit delay time of (a);
Figure 25291DEST_PATH_IMAGE042
indicating the procedure
Figure 415821DEST_PATH_IMAGE005
Single transport capacity of (a).
In the embodiment of the invention, the method for analyzing the influence of the road traffic blockage after the earthquake on the building repair progress is provided, and the influence of the road traffic blockage after the disaster on the building repair progress in the area is quantitatively analyzed by considering the road traffic blockage condition after the earthquake. The method is beneficial to the government to formulate a reasonable and effective disaster prevention strategy and action plan, scientifically improves the resistance, adaptability and resilience of the city facing disasters, strengthens the safety and toughness of the city, provides more scientific, effective and reasonable decision support for comprehensive management of multiple disasters of the city and disaster prevention safety planning, and provides technical support for theoretical research of safe and tough city construction and relevant standard formulation.
Fig. 8 is a block diagram of an apparatus for analyzing the effect of blocked passage on the progress of a repair of a structure, according to an exemplary embodiment. The apparatus is suitable for use in any of the above methods. Referring to fig. 8, the apparatus 300 includes:
the abstract model building module 310 is used for performing abstract conversion on a real urban road network by adopting a scale-free network model according to the post-earthquake road trafficability condition to build an abstract model of the urban road network;
the optimal path calculation module 320 is used for calculating an optimal path of the repaired material transport vehicle to the repair destination according to the constructed abstract model of the urban road network and by comprehensively considering the road length, the vehicle speed and the road condition and the accessibility factors of the road after the earthquake;
the delay time calculation module 330 is configured to select "transportation time" as an evaluation index, and calculate delay time caused by single transportation;
and the influence analysis module 340 is used for splitting the traffic influence into each sub-item work of the repair project by taking the delay time of the single transportation as a basic unit, calculating the delay time of the overall progress of the project, quantifying the influence of the road trafficability blockage on the building repair process after the earthquake occurs, and completing the analysis of the influence on the building repair progress.
Optionally, the abstract model building module 310 is also used for the abstract model of the urban road network
Figure 352553DEST_PATH_IMAGE043
The definition is as follows:
the definition is as follows:
Figure 994887DEST_PATH_IMAGE056
wherein,
Figure 599044DEST_PATH_IMAGE003
indicating points
Figure 301421DEST_PATH_IMAGE004
To its neighboring point
Figure 866394DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 905895DEST_PATH_IMAGE006
indicating points
Figure 505503DEST_PATH_IMAGE004
To its neighboring point
Figure 503415DEST_PATH_IMAGE005
The road condition weight of;
Figure 555685DEST_PATH_IMAGE007
indicating points
Figure 398876DEST_PATH_IMAGE004
To its neighboring point
Figure 649728DEST_PATH_IMAGE005
Accessibility of the cell.
Optionally, a point
Figure 818542DEST_PATH_IMAGE004
To its neighboring point
Figure 358107DEST_PATH_IMAGE005
Weight of the driver
Figure 4989DEST_PATH_IMAGE003
The values are shown in the following formula (1):
Figure 313611DEST_PATH_IMAGE008
wherein,
Figure 387746DEST_PATH_IMAGE057
is a point
Figure 149029DEST_PATH_IMAGE004
To its neighboring point
Figure 599602DEST_PATH_IMAGE005
The road segment length of (a);
Figure 762730DEST_PATH_IMAGE046
is the maximum of all link lengths.
Optionally, a point
Figure 7766DEST_PATH_IMAGE004
To its neighboring point
Figure 787504DEST_PATH_IMAGE005
Road condition weight of
Figure 651554DEST_PATH_IMAGE006
The values are shown in the following formula (2):
Figure 528243DEST_PATH_IMAGE011
wherein,
Figure 350706DEST_PATH_IMAGE012
the maximum value of the running speed of the vehicle between the nodes is obtained;
Figure 945635DEST_PATH_IMAGE013
is the travel speed of the vehicle between the nodes.
Optionally, a point
Figure 613377DEST_PATH_IMAGE004
To its neighboring point
Figure 875731DEST_PATH_IMAGE005
Accessibility of
Figure 603516DEST_PATH_IMAGE007
The values include:
Figure 685741DEST_PATH_IMAGE014
wherein
Figure 157174DEST_PATH_IMAGE015
indicating that the road is normal;
Figure 274034DEST_PATH_IMAGE016
indicating that the road is restricted;
Figure 172720DEST_PATH_IMAGE017
indicating a road block.
Optionally, the optimal path calculation module 320 is further configured to assume common use in the abstract model of the urban road network
Figure 476663DEST_PATH_IMAGE018
A node for selecting a transportation starting point
Figure 610841DEST_PATH_IMAGE019
And terminal of transportation
Figure 457574DEST_PATH_IMAGE020
(ii) a The transportation starting point
Figure 792740DEST_PATH_IMAGE019
And terminal of transportation
Figure 318400DEST_PATH_IMAGE020
Are all made of
Figure 990690DEST_PATH_IMAGE021
A point in the respective node;
defining a set S; the set S is used for storing the vertex of the shortest path which is already solved in the searching process and the length or the weight of the vertex, and the set S is an empty set in the initial state;
defining a set U, wherein the set U is used for storing the top point and the length or the weight of the shortest path which is not solved in the searching process, the set U is a complete set in an initial state, and the weight of all points in the abstract model of the urban road network is
Figure 223088DEST_PATH_IMAGE022
；
Setting a starting point
Figure 322631DEST_PATH_IMAGE058
Weight of (2)
Figure 7690DEST_PATH_IMAGE023
And will be
Figure 483671DEST_PATH_IMAGE058
(ii) falls into said set S;
finding in said set U
Figure 304996DEST_PATH_IMAGE058
Of the neighboring nodes of (1) the node with the smallest weight
Figure 575441DEST_PATH_IMAGE024
Will be
Figure 482217DEST_PATH_IMAGE024
Inserting into the set S;
Figure 773607DEST_PATH_IMAGE024
is composed of
Figure 449439DEST_PATH_IMAGE021
A point in the individual nodes;
search and
Figure 156364DEST_PATH_IMAGE024
adjacent but not to
Figure 550436DEST_PATH_IMAGE019
Adjacent nodes in the set U
Figure 368219DEST_PATH_IMAGE025
Is provided with
Figure 23192DEST_PATH_IMAGE026
At this time, it is considered that
Figure 41963DEST_PATH_IMAGE019
And
Figure 657752DEST_PATH_IMAGE024
is a node which is a single node and is a plurality of nodes,
Figure 403860DEST_PATH_IMAGE025
and the adjacent part of the first and second side plates,
Figure 54285DEST_PATH_IMAGE025
has a weight of
Figure 103012DEST_PATH_IMAGE025
To
Figure 471676DEST_PATH_IMAGE024
The sum of the weights of the edges
Figure 631262DEST_PATH_IMAGE024
To
Figure 136193DEST_PATH_IMAGE019
The sum of the weights of the edges;
repeatedly executing the steps until all the nodes enter the set S or the end point
Figure 90243DEST_PATH_IMAGE020
Having entered set S, the optimal path is obtained.
Optionally, the delay time calculation module 330, further configured to calculate the delay time caused by a single transportation based on the time cost spent by the vehicle to transport along the optimal path, and calculate the delay time according to the following formula (3):
Figure 805258DEST_PATH_IMAGE027
wherein,
Figure 909480DEST_PATH_IMAGE028
representing the delay time of a single transport in units of work days;
Figure 534496DEST_PATH_IMAGE059
the transportation time of the goods and materials transportation after earthquake is shown,
Figure 925026DEST_PATH_IMAGE060
the stroke length of the material transportation after the earthquake is shown,
Figure 861758DEST_PATH_IMAGE031
representing the driving speed of the material transportation after the earthquake;
Figure 238513DEST_PATH_IMAGE032
represents the transportation time of the material transportation before earthquake,
Figure 842670DEST_PATH_IMAGE061
the travel length of the material transportation before earthquake is shown,
Figure 279467DEST_PATH_IMAGE034
representing the traveling speed of the material transportation before earthquake.
Optionally, the influence analysis module 340, and the calculation of the delay time for the overall progress of the project, are obtained by calculating the corresponding transportation lot through the engineering amount and the mechanical allocation of personnel of each construction section, and combining the time delay which may be generated by a single transportation, and calculating according to the following formula (4):
Figure 969075DEST_PATH_IMAGE035
wherein,
Figure 149520DEST_PATH_IMAGE036
indicating professional construction team in construction period
Figure 873763DEST_PATH_IMAGE004
On-site completion of construction process
Figure 215882DEST_PATH_IMAGE005
The running water beat of;
Figure 127206DEST_PATH_IMAGE037
indicating the procedure
Figure 111343DEST_PATH_IMAGE005
In the construction section
Figure 955671DEST_PATH_IMAGE004
The engineering quantity of (1);
Figure 734271DEST_PATH_IMAGE038
indicating the procedure
Figure 867312DEST_PATH_IMAGE005
Manual rating of (3);
Figure 655140DEST_PATH_IMAGE039
indicating the procedure
Figure 88395DEST_PATH_IMAGE005
The number of professional construction teams;
Figure 37897DEST_PATH_IMAGE040
indicating the procedure
Figure 330338DEST_PATH_IMAGE005
The professional construction team works every day;
Figure 515331DEST_PATH_IMAGE041
indicating the procedure
Figure 944039DEST_PATH_IMAGE005
Single transit delay time of (a);
Figure 189075DEST_PATH_IMAGE042
indicating the procedure
Figure 437654DEST_PATH_IMAGE005
Single transport capacity of (a).
The embodiment of the invention provides an analysis method for the influence of post-earthquake road obstruction on the building repair progress, and the influence of post-disaster road obstruction on the building repair progress in a located area is quantitatively analyzed by considering the condition of post-earthquake road obstruction. The method is beneficial to the government to formulate a reasonable and effective disaster prevention strategy and action plan, scientifically improves the resistance, adaptability and resilience of the city facing disasters, strengthens the safety and toughness of the city, provides more scientific, effective and reasonable decision support for comprehensive management of multiple disasters of the city and disaster prevention safety planning, and provides technical support for theoretical research of safe and tough city construction and relevant standard formulation.
Fig. 9 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present invention, where the electronic device 400 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 401 and one or more memories 402, where at least one instruction is stored in the memory 402, and the at least one instruction is loaded and executed by the processor 401 to implement the following steps of a method for analyzing an influence of post-earthquake channel traffic on a building repair progress:
s1: according to the post-earthquake road trafficability condition, adopting a scale-free network model to perform abstract conversion on a real urban road network, and building an abstract model of the urban road network;
s2: according to the constructed abstract model of the urban road network, comprehensively considering the road length, the vehicle speed and road condition and the factors of post-earthquake road accessibility, and calculating the optimal path of the repair material transport vehicle to the repair destination;
s3: selecting 'transportation time' as an evaluation index, and calculating delay time caused by single transportation;
s4: and taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-project work of the repair project, calculating the delay time of the overall project progress, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
In an exemplary embodiment, there is also provided a computer readable storage medium, such as a memory including instructions executable by a processor in a terminal to perform a method of analyzing an impact of the post-earthquake passage obstruction on the progress of the architectural restoration. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A method for analyzing influence of blocked passage of a road after earthquake on building repair progress is characterized by comprising the following steps:
s1: according to the post-earthquake road trafficability condition, adopting a scale-free network model to perform abstract conversion on a real urban road network, and building an abstract model of the urban road network;
s2: according to the constructed abstract model of the urban road network, comprehensively considering the road length, the vehicle speed and road condition and the factors of post-earthquake road accessibility, and calculating the optimal path of the repair material transport vehicle to the repair destination;
s3: selecting the transportation time as an evaluation index, and calculating the delay time caused by single transportation;
s4: and taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-project work of the repair project, calculating the delay time of the overall project progress, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
2. The method according to claim 1, wherein in step S1, the abstract model of urban road network
Figure 140164DEST_PATH_IMAGE001
The definition is as follows:
Figure 791725DEST_PATH_IMAGE002
wherein,
Figure 899358DEST_PATH_IMAGE003
indicating points
Figure 28988DEST_PATH_IMAGE004
To its neighboring point
Figure 312202DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 728140DEST_PATH_IMAGE006
indicating points
Figure 464015DEST_PATH_IMAGE004
To its neighboring point
Figure 256390DEST_PATH_IMAGE005
The road condition weight of;
Figure 659690DEST_PATH_IMAGE007
indicating points
Figure 246529DEST_PATH_IMAGE004
To its neighboring point
Figure 469700DEST_PATH_IMAGE005
Accessibility of the cell.
3. The method of claim 2, wherein the dots are dots
Figure 941132DEST_PATH_IMAGE004
To its neighboring point
Figure 57993DEST_PATH_IMAGE005
Weight of the driver
Figure 956679DEST_PATH_IMAGE003
The values are shown in the following formula (1):
Figure 791780DEST_PATH_IMAGE008
wherein,
Figure 801324DEST_PATH_IMAGE009
is the maximum of all link lengths.
4. The method of claim 2, wherein the dots are dots
Figure 38270DEST_PATH_IMAGE004
To its neighboring point
Figure 842278DEST_PATH_IMAGE005
Road condition weight of
Figure 305620DEST_PATH_IMAGE006
The values are shown in the following formula (2):
Figure 712331DEST_PATH_IMAGE010
wherein,
Figure 803784DEST_PATH_IMAGE011
the maximum value of the running speed of the vehicle between the nodes is obtained;
Figure 44272DEST_PATH_IMAGE012
is the travel speed of the vehicle between the nodes.
5. The method of claim 2, wherein the dots are arranged in a row
Figure 588386DEST_PATH_IMAGE004
To its neighboring point
Figure 205312DEST_PATH_IMAGE005
Accessibility of
Figure 26638DEST_PATH_IMAGE007
The values include:
Figure 562661DEST_PATH_IMAGE013
wherein
Figure 469437DEST_PATH_IMAGE014
indicating that the road is normal;
Figure 749109DEST_PATH_IMAGE015
indicating that the road is restricted;
Figure 690520DEST_PATH_IMAGE016
indicating a road block.
6. The method according to claim 2, wherein in step S2, according to the constructed abstract model of the urban road network, the optimal path of the repair material transportation vehicle to the repair destination is calculated by comprehensively considering factors of road length, vehicle speed, road condition, and post-earthquake road accessibility, and the method includes:
s21: assuming common use in abstract models of urban road networks
Figure 538391DEST_PATH_IMAGE017
A node for selecting a transportation starting point
Figure 57097DEST_PATH_IMAGE018
And terminal of transportation
Figure 750246DEST_PATH_IMAGE019
(ii) a The transport origin
Figure 405218DEST_PATH_IMAGE018
And terminal of transportation
Figure 423990DEST_PATH_IMAGE019
Are all made of
Figure 429992DEST_PATH_IMAGE020
A point in the individual nodes;
s22: defining a set S; the set S is used for storing the vertex of the shortest path which is obtained in the searching process and the length or the weight of the vertex, and the set S is an empty set in the initial state;
s23: defining a set U, wherein the set U is used for storing the top points and the lengths or the weights of the top points of the shortest paths which are not solved in the searching process, the set U is a complete set in an initial state, and the weights of all points in an abstract model of the urban road network are
Figure 926832DEST_PATH_IMAGE021
；
S24: setting a starting point
Figure 842836DEST_PATH_IMAGE018
Weight of (2)
Figure 625984DEST_PATH_IMAGE022
And will be
Figure 994649DEST_PATH_IMAGE018
(ii) falls into said set S;
s25: finding in said set U
Figure 431532DEST_PATH_IMAGE018
Of the neighboring nodes of (1) the node with the smallest weight
Figure 202042DEST_PATH_IMAGE023
Will be
Figure 156092DEST_PATH_IMAGE023
Inserting into the set S;
Figure 277632DEST_PATH_IMAGE023
is composed of
Figure 116275DEST_PATH_IMAGE020
A point in the individual nodes;
s26: search and
Figure 600346DEST_PATH_IMAGE023
adjacent but not to
Figure 131821DEST_PATH_IMAGE018
Adjacent nodes in the set U
Figure 334132DEST_PATH_IMAGE024
Is provided with
Figure 242045DEST_PATH_IMAGE025
I.e. at this time consider
Figure 721568DEST_PATH_IMAGE018
And
Figure 283000DEST_PATH_IMAGE023
are the same node, and are connected with each other,
Figure 847973DEST_PATH_IMAGE024
and the adjacent part of the first and second side plates,
Figure 418632DEST_PATH_IMAGE024
has a weight of
Figure 752661DEST_PATH_IMAGE024
To
Figure 484994DEST_PATH_IMAGE023
The sum of the weights of the edges
Figure 802843DEST_PATH_IMAGE023
To
Figure 521400DEST_PATH_IMAGE018
The sum of the weights of the edges;
s27: steps S25-S26 are repeatedly executed until all nodes enter the set S or the end point
Figure 100149DEST_PATH_IMAGE019
Having entered set S, the optimal path is obtained.
7. The method according to claim 1, wherein in step S3, the delay time caused by a single transportation is calculated from the time cost spent by the vehicle to transport along the optimal path, and is calculated according to the following formula (3):
Figure 144328DEST_PATH_IMAGE026
wherein,
Figure 808528DEST_PATH_IMAGE027
representing the delay time of a single transport in units of work days;
Figure 330776DEST_PATH_IMAGE028
the transportation time of the goods and materials transportation after earthquake is shown,
Figure 764031DEST_PATH_IMAGE029
the stroke length of the material transportation after the earthquake is shown,
Figure 713533DEST_PATH_IMAGE030
the driving speed of the material transportation after the earthquake is represented;
Figure 740395DEST_PATH_IMAGE031
represents the transportation time of the material transportation before earthquake,
Figure 190968DEST_PATH_IMAGE032
the travel length of the material transportation before earthquake is shown,
Figure 354096DEST_PATH_IMAGE033
the running speed of the material transportation before earthquake is shown.
8. The method of claim 1, wherein in the step S4, the delay time calculation of the project overall progress is calculated by calculating the corresponding transportation lot according to the engineering quantity and the mechanical allocation of personnel for each construction section, and the delay time is obtained by combining the time delay which may be generated by a single transportation, and is calculated according to the following formula (4):
Figure 864711DEST_PATH_IMAGE034
wherein,
Figure 378869DEST_PATH_IMAGE035
indicating professional construction team in construction period
Figure 367554DEST_PATH_IMAGE004
On-site completion of construction process
Figure 650768DEST_PATH_IMAGE005
The running water beat of;
Figure 207651DEST_PATH_IMAGE036
indicating the procedure
Figure 68160DEST_PATH_IMAGE005
In the construction section
Figure 735901DEST_PATH_IMAGE004
The engineering quantity of (1);
Figure 732676DEST_PATH_IMAGE037
indicating the procedure
Figure 788357DEST_PATH_IMAGE005
Manual rating of (3);
Figure 277107DEST_PATH_IMAGE038
indicating the procedure
Figure 607594DEST_PATH_IMAGE005
The number of professional construction teams;
Figure 599821DEST_PATH_IMAGE039
indicating the procedure
Figure 623141DEST_PATH_IMAGE005
The professional construction team works every day;
Figure 68029DEST_PATH_IMAGE040
indicating the procedure
Figure 202207DEST_PATH_IMAGE005
Single transit delay time of (a);
Figure 580098DEST_PATH_IMAGE041
indicating the procedure
Figure 508740DEST_PATH_IMAGE005
Single transport capacity of (a).
9. An apparatus for analyzing the effect of blocked passage on the progress of a repair in a building, said apparatus being suitable for use in the method of any one of claims 1 to 8, the apparatus comprising:
the abstract model building module is used for carrying out abstract conversion on a real urban road network by adopting a scale-free network model according to the post-earthquake road trafficability condition and building an abstract model of the urban road network;
the optimal path calculation module is used for calculating the optimal path of the repaired material transport vehicle to the repair destination according to the constructed abstract model of the urban road network and by comprehensively considering the factors of road length, vehicle speed and road condition and the accessibility of the road after the earthquake;
the delay time calculation module is used for selecting the transportation time as an evaluation index and calculating the delay time caused by single transportation;
and the influence analysis module is used for taking the delay time of single transportation as a basic unit, splitting the traffic influence into each sub-item work of the repair project, calculating the delay time of the overall progress of the project, quantifying the influence of road trafficability blockage on the building repair process after an earthquake occurs, and completing analysis of the influence on the building repair progress.
10. The apparatus of claim 9, wherein the abstract model building module is further used for an abstract model of an urban road network
Figure 706503DEST_PATH_IMAGE042
The definition is as follows:
Figure 378793DEST_PATH_IMAGE043
wherein,
Figure 345612DEST_PATH_IMAGE003
indicating points
Figure 445155DEST_PATH_IMAGE004
To its neighboring point
Figure 130214DEST_PATH_IMAGE005
The weight of the vehicle journey of the vehicle,
Figure 747140DEST_PATH_IMAGE006
indicating points
Figure 693100DEST_PATH_IMAGE004
To its neighboring point
Figure 104489DEST_PATH_IMAGE005
The road condition weight of;
Figure 135899DEST_PATH_IMAGE007
indicating points
Figure 618833DEST_PATH_IMAGE004
To its neighboring point
Figure 825824DEST_PATH_IMAGE005
Accessibility of the cell.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115620513A (en) * 2022-09-20 2023-01-17 东南大学 Urban road network state monitoring method and visualization system based on toughness analysis
CN117292547A (en) * 2023-10-27 2023-12-26 重庆交通大学 Method for evaluating connectivity of large-scale movable multistage influence area road network

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107368931A (en) * 2017-08-09 2017-11-21 西南交通大学 Logistics distribution path dynamic programming method and system based on big data analytical technology
CN108629974A (en) * 2018-05-17 2018-10-09 电子科技大学 Take the traffic circulation index method for building up of urban road traffic network feature into account
CN110119839A (en) * 2019-04-24 2019-08-13 华南理工大学 A kind of Urban Road Traffic Accidents emergency management and rescue paths planning method
JP2019185443A (en) * 2018-04-11 2019-10-24 株式会社村田製作所 Road management system, road management method, and road management program
CN112182710A (en) * 2020-09-28 2021-01-05 杭州品茗安控信息技术股份有限公司 Construction road arrangement method, device and equipment and readable storage medium
CN114444818A (en) * 2022-04-08 2022-05-06 北京科技大学 Method and system for predicting post-earthquake restoration process of community building group

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107368931A (en) * 2017-08-09 2017-11-21 西南交通大学 Logistics distribution path dynamic programming method and system based on big data analytical technology
JP2019185443A (en) * 2018-04-11 2019-10-24 株式会社村田製作所 Road management system, road management method, and road management program
CN108629974A (en) * 2018-05-17 2018-10-09 电子科技大学 Take the traffic circulation index method for building up of urban road traffic network feature into account
CN110119839A (en) * 2019-04-24 2019-08-13 华南理工大学 A kind of Urban Road Traffic Accidents emergency management and rescue paths planning method
CN112182710A (en) * 2020-09-28 2021-01-05 杭州品茗安控信息技术股份有限公司 Construction road arrangement method, device and equipment and readable storage medium
CN114444818A (en) * 2022-04-08 2022-05-06 北京科技大学 Method and system for predicting post-earthquake restoration process of community building group

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
熊杰等: "基于复杂网络的灾难救援物流网络鲁棒性分析", 《系统仿真学报》 *
田晓勇等: "考虑震后道路抢修的多目标应急调度模型", 《防灾减灾工程学报》 *
金大卫等: "基于实时灾情的人道主义救援最优路径分析", 《武汉大学学报(工学版)》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115620513A (en) * 2022-09-20 2023-01-17 东南大学 Urban road network state monitoring method and visualization system based on toughness analysis
CN115620513B (en) * 2022-09-20 2023-10-03 东南大学 Urban road network state monitoring method and visualization system based on toughness analysis
CN117292547A (en) * 2023-10-27 2023-12-26 重庆交通大学 Method for evaluating connectivity of large-scale movable multistage influence area road network
CN117292547B (en) * 2023-10-27 2024-05-07 重庆交通大学 Method for evaluating connectivity of large-scale movable multistage influence area road network

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