Method and system for generating multi-system toughness collaborative recovery scheme considering urban engineering

Abstract

The invention discloses a method and system for generating a multi-system toughness collaborative recovery scheme considering urban engineering, and belongs to the technical field of urban disaster emergency management and recovery, and the method comprises the steps: building time constraint and fund constraint formulas of six systems of different disaster levels under four coupling disasters; establishing a toughness recovery matrix of six systems of different disaster levels under four coupling disasters; establishing recovery influence correlation coefficients between six systems of different disaster levels under four coupling disasters; establishing a mathematical recovery model based on a time constraint formula, a fund constraint formula, the recovery weights of the six systems and the correlation coefficients; a collaborative recovery scheme is generated using the mathematical recovery model, and a generation system is also disclosed. By adopting the method and the system, the cascade effect of various urban engineering systems is considered, the mathematical recovery model is established through the time constraint and fund constraint formulas and the recovery weights and the correlation coefficients of the six systems, and collaborative recovery of the six systems after the disaster is realized.

Description

Technical Field

[0001] The present invention relates to the field of urban disaster emergency management and recovery technology, and in particular to a method and system for generating a collaborative recovery plan that takes into account the resilience of multiple systems of urban engineering. Background Art

[0002] Research on optimizing the order of resilience recovery of urban engineering systems and optimizing the allocation of community / regional resilience recovery resources has been carried out at home and abroad. At the same time, the resilience function of urban engineering systems has been improved by developing functional recoverable structures and disaster reduction devices. However, most of the current research only considers the recovery of a single system itself, and fails to fully consider the cascading effect of multiple urban engineering systems. At the same time, the current recovery plan generation is mostly generated under unconstrained conditions, lacking consideration of multi-system collaborative recovery under resource constraints. In terms of recovery technology, traditional technologies are mainly used, and new technologies for systematic overall recovery after disasters are lacking. In terms of decision support technology, static knowledge base data mining is mainly used, and the update of disaster monitoring data and urban system operation data is not considered. The evaluation indicators of decision-making plans are single and the selection of generated plans is small. Therefore, it is urgent to develop new post-disaster recovery technologies and establish intelligent generation technologies for collaborative resilience recovery plans for urban engineering systems after disasters. Summary of the invention

[0003] The purpose of the present invention is to provide a method and system for generating a collaborative recovery plan that takes into account the resilience of multiple systems of urban engineering. By sorting out and establishing different post-disaster recovery technologies, the rapid recovery of urban functions after a disaster can be achieved. Through scientific evaluation methods, a basis can be provided for recovery strategies, the difficulty of disaster relief can be reduced, and casualties and property losses during the disaster relief process can be reduced, thereby alleviating the loss of life and property after a disaster.

[0004] To achieve the above object, the present invention provides a method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering, the steps comprising:

[0005] S1. Obtain recovery data of six systems under different disaster levels, including transportation system, water supply system, drainage system, gas system, power supply system and crowded places under four coupled disasters, analyze the acquired data, and establish time constraint and capital constraint formulas for the six systems under four coupled disasters;

[0006] S2. Establish resilience recovery matrices of six systems with different disaster levels under four coupled disasters, and use entropy method and fuzzy comprehensive evaluation method to comprehensively evaluate the resilience recovery matrix to obtain the recovery weights of the six systems;

[0007] S3. Establish the recovery impact correlation coefficient between six systems of different disaster levels under four coupled disasters. By collecting the post-disaster input-output tables of six systems under four coupled disasters and analyzing the data, the Leontief inverse matrix is ​​obtained using the Leontief input-output method. After unitization, the correlation coefficient is obtained.

[0008] S4. Establish a mathematical recovery model based on the time constraint and capital constraint formula, the recovery weights and correlation coefficients of the six systems;

[0009] S5. Obtain the post-disaster disaster levels, time constraints, and funding constraints of six systems under four coupled disasters, and use mathematical recovery models to generate multiple coordinated recovery plans.

[0010] Preferably, the four coupled disasters include strong / typhoon-flood-geological disaster, earthquake-geological disaster, strong / typhoon-flood and flood-geological disaster, and the disaster levels include three levels: mild, moderate and severe.

[0011] Preferably, the establishment of the resilience recovery matrix of six systems with different disaster levels under four coupled disasters includes: establishing recovery plans for typical projects of six systems with different disaster levels under four coupled disasters.

[0012] Preferably, the comprehensive evaluation of the toughness recovery matrix using the entropy method and the fuzzy comprehensive evaluation method includes:

[0013] Establish a resilience recovery evaluation system including target layer, indicator layer and solution layer;

[0014] Use the entropy method to establish a data evaluation matrix and obtain the entropy method weights;

[0015] Use fuzzy comprehensive evaluation method to get the weight value of toughness recovery matrix;

[0016] The weights obtained using the entropy method and the fuzzy comprehensive evaluation method are averaged to obtain the final weight of the toughness recovery matrix.

[0017] Preferably, the solution layer in the resilience recovery evaluation system is the recovery plan for six typical system projects, and the indicator layer includes primary indicators and secondary indicators. The primary indicators include time cost, economic cost and capacity recovery. The secondary indicators are sub-indicators under the primary indicators. The time cost includes preliminary preparation, material procurement and post-repair inspection. The economic cost includes labor cost, construction cost and material cost. The capacity recovery includes post-disaster service life, maximum work efficiency and comfort. The target layer is to select a recovery method.

[0018] Preferably, the establishing of a mathematical recovery model comprises:

[0019] The objective function of maximizing the recovery benefit within the specified time is established, and its formula is:

[0020]

[0021] Establish the constraints of the objective function:

[0022] Establish a time constraint, and the time of the selected technology is less than the time constraint. The formula is:

[0023] Z ijq ≤T, (i, j = 0, 1, 2......)

[0024] Establish economic constraints, the total economic cost of the selected technology is less than M, and the formula is:

[0025]

[0026] Establish a constraint that only one recovery technology can be selected for each system, and the formula is:

[0027]

[0028] Where P ijq represents the benefits of a certain technology t in a certain disaster scenario, T represents the time constraint required by the disaster occurrence and the degree of disaster damage to the system, M represents the economic constraint, and Q ij Indicates the impact coefficient of the engineering system under a certain disaster scenario level, Y ijq Represents the recovery technology, which is a decision variable. If Y ijq =1, then the solution selects this technology. If Y ijq = 0, do not select this technology, Z ijq It indicates the time a certain technology is used, and ijq indicates the location of the seat.

[0029] A system for generating a method for collaborative recovery schemes of multi-system resilience of urban projects, comprising a user interaction terminal, a computing server and a memory, wherein the user interaction terminal obtains the disaster level, time constraint and financial constraint input by the user, and transmits the obtained data to the computing server; the computing server receives the input condition information from the user interaction terminal, performs necessary preprocessing and formatting, matches the processed data with the recovery technology stored in the memory, screens out the recovery technology that meets the current disaster level, time constraint and financial constraint, and generates multiple collaborative recovery schemes for post-disaster resilience, which are displayed based on the user interaction terminal after being generated; the memory is responsible for storing and managing the data resources required by the system.

[0030] Preferably, the data resources in the memory are updated regularly.

[0031] Therefore, the present invention adopts the above-mentioned method and system for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering, which has the following beneficial effects:

[0032] (1) Achieve rapid recovery of urban functions after disasters by sorting out and establishing different post-disaster recovery technologies;

[0033] (2) Through scientific assessment methods, it can provide a basis for recovery strategies, reduce the difficulty of disaster relief, and reduce casualties and property losses during the disaster relief process, thereby alleviating the loss of life and property after the disaster;

[0034] (3) Considering the cascading effects of multiple urban engineering systems, a mathematical recovery model was established through the time constraint and funding constraint formulas, the recovery weights of the six systems, and the correlation coefficients, thus achieving the coordinated recovery of the six systems after the disaster.

[0035] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a structural schematic diagram of an embodiment of a method for generating a collaborative recovery plan considering the resilience of multiple systems of urban engineering according to the present invention. DETAILED DESCRIPTION

[0037] Example

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0039] Reference Figure 1 The present invention provides a method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering, the steps comprising:

[0040] S1. Obtain recovery data of six systems under different disaster levels, including transportation system, water supply system, drainage system, gas system, power supply system and crowded places under four coupled disasters, analyze the acquired data, and establish time constraint and capital constraint formulas for six systems under four coupled disasters. The four coupled disasters include strong / typhoon-flood-geological disaster, earthquake-geological disaster, strong / typhoon-flood and flood-geological disaster, and the disaster levels include slight, moderate and severe.

[0041] S2. Establish the resilience recovery matrix of six systems with different disaster levels under four coupled disasters, and use the entropy method and fuzzy comprehensive evaluation method to comprehensively evaluate the resilience recovery matrix to obtain the recovery weights of the six systems.

[0042] Establishing the resilience recovery matrix of six systems with different disaster levels under four coupled disasters is specifically: establishing recovery plans for six typical projects of systems with different disaster levels under four coupled disasters.

[0043] Typical projects of transportation systems include roads, bridges and tunnels. Typical projects of water supply systems include water sources, water plants, storage nodes and transmission and distribution lines. Typical projects of drainage systems include collection facilities, sewage fields, storage nodes and transmission and distribution lines. Typical projects of gas systems include gas sources (gas storage structures), gas transmission and distribution systems, gate stations and pressure regulating stations. Typical projects of power supply systems include power plants, substations and power lines. Typical projects of crowded places include commercial complexes and transportation hubs.

[0044] Taking roads as an example, establish recovery plans for different disaster levels.

[0045] Mild: Traffic will be cut off for 1-6 hours, and sensors will be deployed and monitoring will be carried out. At the same time, professional personnel will observe closely. Traffic will be restricted after the interruption and normal traffic will be allowed after monitoring stabilizes.

[0046] Moderate: Traffic will be interrupted for 6-24 hours. The roadbed will be quickly repaired and replaced based on bubble lightweight soil. The damaged concrete pavement will be cut off with a cutting machine. Some traffic will be restored after the interruption, and normal traffic will be allowed after monitoring and stabilization.

[0047] Severe: Disconnect, conduct in-depth status assessment, re-pour concrete and vibrate to make it dense, repair it, restore some traffic after the disconnection, and resume normal traffic after stable monitoring.

[0048] The entropy method and fuzzy comprehensive evaluation method are used to comprehensively evaluate the toughness recovery matrix, including:

[0049] Establish a resilience recovery evaluation system including target layer, indicator layer and scheme layer. The scheme layer is the recovery plan of six typical system projects, the indicator layer includes primary and secondary indicators, the primary indicators include time cost, economic cost and capacity recovery, the secondary indicators are sub-indicators under the primary indicators, the time cost includes preliminary preparation, material procurement and post-repair inspection, the economic cost includes labor cost, construction cost and material cost, the capacity recovery includes post-disaster service life, maximum work efficiency and comfort, and the target layer is to select the recovery method.

[0050] The entropy method is used to establish a data evaluation matrix and obtain the entropy method weights.

[0051] The fuzzy comprehensive evaluation method is used to obtain the weight value of the toughness recovery matrix.

[0052] The weights obtained using the entropy method and the fuzzy comprehensive evaluation method are averaged to obtain the resilience recovery matrix, which is the final weight of each recovery plan for the six typical system projects.

[0053] S3. Establish the recovery impact correlation coefficient between the six systems of different disaster levels under four coupled disasters. By collecting the post-disaster input-output tables of the six systems under four coupled disasters and analyzing the data, the Leontief inverse matrix is ​​obtained using the Leontief input-output method. After unitization, the correlation coefficient is obtained.

[0054] Among them, it is ensured that the sum of the coefficients of each system is 1, that is, all systems need to be completed before the resilience value can be restored to its original value.

[0055] S4. A mathematical recovery model is established based on the time constraint and capital constraint formulas, the recovery weights and correlation coefficients of the six systems.

[0056] Building a mathematical recovery model includes:

[0057] The objective function of maximizing the recovery benefit within the specified time is established, and its formula is:

[0058]

[0059] Establish the constraints of the objective function:

[0060] Establish a time constraint, and the time of the selected technology is less than the time constraint. The formula is:

[0061] Z ijq ≤T, (i, j = 0, 1, 2......)

[0062] Establish economic constraints, the total economic cost of the selected technology is less than M, and the formula is:

[0063]

[0064] Establish a constraint that only one recovery technology can be selected for each system, and the formula is:

[0065]

[0066] Where P ijq represents the benefits of a certain technology t in a certain disaster scenario, T represents the time constraint required by the disaster occurrence and the degree of disaster damage to the system, M represents the economic constraint, and Q ij Indicates the impact coefficient of the engineering system under a certain disaster scenario level, Y ijq represents the recovery technology, is a decision variable, if T ijq =1, then the solution selects this technology. If Y ijq = 0, do not select this technology, Z ijq It indicates the time a certain technology is used, and ijq indicates the location of the seat.

[0067] S5. Obtain the post-disaster disaster levels, time constraints, and funding constraints of six systems under four coupled disasters, and use mathematical recovery models to generate multiple coordinated recovery plans.

[0068] It should be noted that the time constraints and financial constraints in this step are the specific time and budget for the expected solution to complete the restoration work.

[0069] A system for generating a method for collaborative recovery plan for multi-system resilience of urban engineering projects, comprising a user interaction terminal, a computing server and a storage device. The user interaction terminal obtains the disaster level, time constraint and financial constraint input by the user, and transmits the obtained data to the computing server; the computing server receives the input condition information from the user interaction terminal, performs necessary preprocessing and formatting, matches the processed data with the recovery technology stored in the storage device, selects the recovery technology that meets the current disaster level, time constraint and financial constraint, and generates multiple collaborative recovery plans for post-disaster resilience. After the post-disaster collaborative recovery plans for resilience are generated, they are displayed based on the user interaction terminal; the storage device is responsible for storing and managing the data resources required by the system.

[0070] Among them, the data resources in the memory are updated regularly.

[0071] Therefore, the present invention adopts the above-mentioned method and system for generating a coordinated recovery plan considering the resilience of multiple systems of urban engineering, considers the cascading effect of multiple urban engineering systems, establishes a mathematical recovery model through time constraint and capital constraint formulas, recovery weights and correlation coefficients of six systems, and realizes the coordinated recovery of the six systems after the disaster.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering, characterized in that: Includes steps: S1. Obtain the recovery data of six systems under different disaster levels, including transportation system, water supply system, drainage system, gas system, power supply system and crowded places under four coupled disasters, analyze the acquired data, and establish the time constraint and capital constraint formulas of the six systems under four coupled disasters; S2. Establish resilience recovery matrices of six systems with different disaster levels under four coupled disasters, and use entropy method and fuzzy comprehensive evaluation method to comprehensively evaluate the resilience recovery matrix to obtain the recovery weights of the six systems; S3. Establish the recovery impact correlation coefficient between six systems of different disaster levels under four coupled disasters. By collecting the post-disaster input-output tables of six systems under four coupled disasters and analyzing the data, the Leontief inverse matrix is ​​obtained using the Leontief input-output method. After unitization, the correlation coefficient is obtained. S4. Establish a mathematical recovery model based on the time constraint and capital constraint formula, the recovery weights and correlation coefficients of the six systems; S5. Obtain the post-disaster disaster levels, time constraints, and funding constraints of six systems under four coupled disasters, and use mathematical recovery models to generate multiple coordinated recovery plans.

2. The method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering according to claim 1 is characterized by: The four coupled disasters include strong / typhoon-flood-geological disasters, earthquake-geological disasters, strong / typhoon-floods and floods-geological disasters, and the disaster levels include mild, moderate and severe.

3. The method for generating a coordinated restoration plan for a city considering the resilience of multiple systems of urban engineering according to claim 1 is characterized in that: The establishment of the resilience recovery matrix of six systems with different disaster levels under four coupled disasters includes: establishing recovery plans for six typical projects of systems with different disaster levels under four coupled disasters.

4. The method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering according to claim 1 is characterized in that: The comprehensive evaluation of the toughness recovery matrix by using the entropy method and the fuzzy comprehensive evaluation method includes: Establish a resilience recovery evaluation system including target layer, indicator layer and solution layer; Use the entropy method to establish a data evaluation matrix and obtain the entropy method weights; Use fuzzy comprehensive evaluation method to get the weight value of toughness recovery matrix; The weights obtained using the entropy method and the fuzzy comprehensive evaluation method are averaged to obtain the final weight of the toughness recovery matrix.

5. The method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering according to claim 4 is characterized in that: The solution layer in the resilience recovery evaluation system is the recovery plan of six typical system projects, and the indicator layer includes primary indicators and secondary indicators. The primary indicators include time cost, economic cost and capacity recovery. The secondary indicators are sub-indicators under the primary indicators. The time cost includes preliminary preparation, material procurement and post-repair inspection. The economic cost is labor cost, construction cost and material cost. Capacity recovery includes post-disaster service life, maximum work efficiency and comfort. The target layer is to select the recovery method.

6. The method for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering according to claim 1 is characterized in that: The establishment of the mathematical recovery model comprises: The objective function of maximizing the recovery benefit within the specified time is established, and its formula is: Establish the constraints of the objective function: Establish a time constraint, and the time of the selected technology is less than the time constraint. The formula is: Z ijq ≤T,(i、j=0,1,2......) Establish economic constraints, the total economic cost of the selected technology is less than M, and the formula is: Establish a constraint that only one recovery technology can be selected for each system, and the formula is: AND ijq =0,1,q=(1,2......) Where P ijq represents the benefits of a certain technology t in a certain disaster scenario, T represents the time constraint required by the disaster occurrence and the degree of disaster damage to the system, M represents the economic constraint, and Q ij Indicates the impact coefficient of the engineering system under a certain disaster scenario level, Y ijq represents the recovery technology, is a decision variable, if T ijq =1, then the solution selects this technology. If T ijq = 0, do not select this technology, Z ijq It indicates the time a certain technology is used, and ijq indicates the location of the seat.

7. A system for generating a collaborative restoration plan considering the resilience of multiple systems of urban engineering projects according to any one of claims 1 to 6, characterized in that: It includes a user interaction terminal, a computing server and a memory. The user interaction terminal obtains the disaster level, time constraint and financial constraint input by the user, and transmits the obtained data to the computing server; the computing server receives the input condition information from the user interaction terminal, performs necessary preprocessing and formatting, matches the processed data with the recovery technology stored in the memory, screens out the recovery technology that meets the current disaster level, time constraint and financial constraint, and generates multiple post-disaster resilience collaborative recovery plans. After the post-disaster resilience collaborative recovery plans are generated, they are displayed based on the user interaction terminal; the memory is responsible for storing and managing the data resources required by the system.

8. The system for generating a coordinated restoration plan considering the resilience of multiple systems of urban engineering according to claim 7 is characterized by: The data resources in the memory are updated regularly.

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