Disaster prevention and reduction assessment model and construction method for highway infrastructure

Abstract

The present application relates to the field of highway infrastructure risk assessment, and specifically relates to a kind of highway infrastructure's disaster prevention and mitigation assessment model and construction method, comprising the following steps: to build evaluation model with several interactive systems, wherein, interactive system includes prevention and control management system, infrastructure operation system, infrastructure monitoring system, geological disaster monitoring system, weather monitoring system, unmanned aerial vehicle inspection system and emergency rescue system;The information transmission path and the cooperative correlation between each system are clarified;The function state value of single system in the model is obtained, and the variable weight matrix is used to evaluate the system function state completeness, compared with prior art, the beneficial effects of the present application are: the present application further clarifies the model construction method on the basis of a kind of multi-system cooperation's disaster prevention and mitigation assessment model, provides data support for subsequent model establishment, reduces the disaster risk of highway infrastructure.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of highway infrastructure risk assessment, and particularly relates to a highway infrastructure disaster prevention and mitigation assessment model and a construction method. BACKGROUND

[0002] Highway infrastructure safety is the basis for ensuring long-term operation of highways. Highway infrastructure mainly includes roadbeds, pavements, bridges, culverts, tunnels, traffic safety facilities, drainage equipment, service facilities and green engineering, etc. Disaster prevention and mitigation of these parts is the support for ensuring safe operation of highway engineering.

[0003] At present, the safety disaster prevention and mitigation research in the field of highway infrastructure mainly focuses on single engineering and construction safety during the construction period or road network disaster prevention and mitigation safety during the operation period, and there is no whole-process model for systematic monitoring, processing and emergency rescue of the entire engineering system of infrastructure.

[0004] In the existing highway infrastructure system, although some have disaster monitoring and early warning functions, the monitoring and early warning are based on pre-prepared or set monitoring thresholds. How to build a disaster prevention and mitigation model involving multiple systems and consider the synergistic effect between systems to ensure the accuracy of real-time monitoring and prediction data, and the judgment of the model on the disaster risk assessment ability of highway infrastructure are not involved.

[0005] Therefore, developing a highway infrastructure disaster prevention and mitigation assessment model and a construction method not only has urgent research value, but also has good economic benefits and industrial application potential, which is the driving force and basis for the completion of the present application. SUMMARY

[0006] In order to overcome the defects of the prior art pointed out above, the present application has been developed after a great deal of creative labor and research.

[0007] Specifically, the technical problem to be solved by the present application is to provide a highway infrastructure disaster prevention and mitigation assessment model and a construction method to solve the technical problems not considered by the existing model.

[0008] To achieve the above purpose, the present application provides the following technical scheme:

[0009] A construction method of a highway infrastructure disaster prevention and mitigation assessment model, comprising the following steps:

[0010] An evaluation model is constructed by a plurality of interactive systems, wherein the interactive systems include a prevention and control management system, an infrastructure operation system, an infrastructure monitoring system, a geological disaster monitoring system, a meteorological monitoring system, an unmanned aerial vehicle inspection system and an emergency rescue system;

[0011] The information transmission path and the cooperative correlation between the systems are determined;

[0012] The function state value of each system in the model is obtained, and a variable weight matrix is used to evaluate the system function state completeness;

[0013] Based on the cooperative correlation between the systems, the cooperative correlation degree between the systems is calculated and obtained;

[0014] The dynamic correction coefficient is determined according to the disaster type and the environment state, and the calculated system cooperative correlation degree is corrected;

[0015] Based on the function state value, the function state completeness, the cooperative correlation degree between the systems and the dynamic correction coefficient calculation model, the disaster risk evaluation value of the highway infrastructure is calculated;

[0016] The evaluation ability of the model for the disaster risk of the highway infrastructure is determined according to the disaster risk evaluation value.

[0017] In the present application, as an improvement, the function state value of each system in the model comprises:

[0018] The system operation evaluation standard is determined, and the function state value evaluation index is selected;

[0019] The analytic hierarchy process or expert review is used to evaluate and assign values to each system according to the evaluation index;

[0020] According to the evaluation and assignment of the evaluation index, the system function state value is calculated, and the function state value is calculated as follows:

[0021]

[0022] Wherein, R i The evaluation index is assigned a value.

[0023] In the present application, as an improvement, the evaluation index comprises coverage, accuracy, timeliness, robustness and redundancy.

[0024] In the present application, as an improvement, in the variable weight matrix used for system function state completeness, the horizontal of the matrix is the system function completeness, and the vertical is the system real-time operation efficiency. The values of the two are taken according to the running state of the system, and the system function state completeness weight is quantified.

[0025] In the present application, as an improvement, the cooperative correlation degree between the systems is calculated and obtained by using the following formula:

[0026]

[0027] Wherein, α ij Indicates jSystem on i The degree of coordination of the system; BoP j Indicates j The basic function state of the system without cooperation with other systems; Delta η i Indicates i The function state change rate of the system, unit: %, Delta P j Indicates j The function state of the system only i The function state change value under the function change of the system.

[0028] In the present application, as an improvement, the dynamic correction coefficient includes a disaster type compensation coefficient and an environmental interference compensation coefficient, and the disaster type compensation coefficient k1 is calculated as follows:

[0029]

[0030] Wherein, λ is the influence weight of disaster type on the system;

[0031] The environmental interference compensation k2 is calculated as follows:

[0032]

[0033] Wherein, μ is the influence weight of environmental influence factor on the system;

[0034] The influence weight of disaster type on the system and the influence weight of environmental influence factor on the system are calculated by using the analytic hierarchy process according to disaster history data.

[0035] In the present application, as an improvement, the model calculates the disaster risk evaluation value of the highway infrastructure as follows:

[0036]

[0037] N is the number of system units, α j Indicates j The cooperative relationship of the system with other systems, α j =Min( α ij ).

[0038] In the present application, as an improvement, j The basic function state value of the system BoP j Is calculated as follows:

[0039]

[0040] Wherein, Rj For j The basic evaluation index of the system is assigned.

[0041] A disaster prevention and reduction evaluation model of highway infrastructure, the model comprising the following interactive systems:

[0042] The prevention and control management system is the information processing center of the model, sends information instructions to the remaining systems, and receives feedback from the systems;

[0043] The infrastructure operation system receives instructions from the prevention and control management system, adjusts the operation state of the highway infrastructure, and serves as the monitoring and control object of the infrastructure monitoring system and the emergency rescue system;

[0044] The infrastructure monitoring system receives instructions from the prevention and control management system, adjusts the monitoring index, monitoring frequency and monitoring time, monitors the infrastructure operation system in real time, and feeds back the monitoring data to the prevention and control management system;

[0045] The weather forecasting system receives weather release information, predicts weather change trend and development path, and sends the prediction information to the prevention and control management system, which analyzes the information and guides the monitoring direction of the weather forecasting system;

[0046] The geological disaster monitoring system analyzes the change and development trend of geological factors in combination with the geological information and weather prediction information in the monitoring area, and sends the geological prediction information to the prevention and control management system;

[0047] The unmanned aerial vehicle inspection system receives instructions from the prevention and control management system, carries out point-to-surface inspection observation on the projects that cannot be observed by weather and geological disasters, obtains overall or local condition information within the scope of highway infrastructure, supplements weather and geological disaster monitoring information, and feeds back to the prevention and control management system;

[0048] The emergency rescue system receives instructions from the prevention and control management system, adjusts the operation of infrastructure and rescue equipment, and carries out emergency rescue work.

[0049] In the present application, as an improvement, each interactive system in the model comprises:

[0050] The user interface module receives user input and displays system output, and is a user interaction tool;

[0051] The data processing module calculates, integrates, filters and processes input data, calls the storage module to store data, calls the communication module to interact with other systems, and sends the processing result to the user interface module for display;

[0052] The storage module is responsible for data storage and access;

[0053] A communication module is provided for data transmission between systems and receiving data from an external meteorological and geological disaster release platform.

[0054] Compared with the prior art, the application has the following beneficial effects:

[0055] (1) By establishing a multi-system collaborative disaster prevention and reduction evaluation model, the system evaluation criteria of disasters on highway infrastructure are determined, and the construction method of the model is established to provide data support for the establishment of subsequent models, thereby reducing the disaster risk of highway infrastructure.

[0056] (2) In the multi-system model constructed in the application, each system information interacts, and the cooperative correlation between the systems is clear. The cooperative correlation between the systems is calculated, the disaster and environmental impact are corrected, the accuracy of the system operation efficiency and monitoring and prediction information is obtained, and the basis for judging the evaluation ability of the model is provided.

[0057] (3) The application determines the running state of the system through the evaluation index, judges the completeness of the system function and the correlation and dependence degree between the systems through the running state of each system, calculates the disaster risk evaluation value of the model on the highway infrastructure, and finally obtains the risk evaluation grade to judge the evaluation ability of the model on the highway infrastructure. BRIEF DESCRIPTION OF DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the specific embodiments or prior art of the present application, the drawings needed in the specific embodiments or prior art description will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0059] Fig. 1 The structural diagram of the information transmission and cooperative correlation of each interactive system of the evaluation model of the application. DETAILED DESCRIPTION

[0060] The embodiments of the technical solutions of the application will be described in detail below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the application, and therefore only serve as examples, but cannot limit the protection scope of the application.

[0061] A disaster prevention and reduction evaluation model for highway infrastructure, the model includes a plurality of interactive systems, the interactive systems include a prevention and control management system, an infrastructure operation system, an infrastructure monitoring system, a geological disaster monitoring system, a meteorological prediction and forecasting system, an unmanned aerial vehicle inspection system and an emergency rescue system, the systems cooperate with each other to jointly construct a highway infrastructure evaluation model under disaster risk conditions.

[0062] The prevention and control management system is an information processing center of the model, receives operation and monitoring data of the remaining systems, sends instructions to the remaining systems after processing the data, and controls the operation of the entire disaster prevention and control system.

[0063] The infrastructure operation system controls the operation state of various infrastructures of the road, wherein the infrastructures include lighting, communication, drainage, safety facilities, monitoring and operation and maintenance systems and various facilities. The infrastructure operation system sends operation data of the various facilities to the prevention and control management system and accepts instructions from the prevention and control management system to adjust the operation state. It is the object of the instructions of the road infrastructure monitoring system and the emergency rescue system, and is also the operation basis of the model.

[0064] The infrastructure monitoring system monitors the operation state of various infrastructures and road structures, including the structural safety state of tunnel, bridge, pavement, roadbed and other building structures, and the operation state of various infrastructures in the operation system, and sends monitoring information to the prevention and control management system.

[0065] The weather forecasting system cooperates with the national weather system to observe the weather conditions of the road infrastructure area, make a forecast on the change trend and development path, and feed back the forecast information to the prevention and control management system and the geological disaster monitoring system to guide the monitoring direction of the geological disaster monitoring system.

[0066] The geological disaster monitoring system receives instructions from the prevention and control management system to adjust the monitoring time, frequency, monitoring index and other monitoring contents, receives weather monitoring data, adjusts the monitoring direction according to the weather change, makes a judgment on the change and development trend of the geological factors affecting the safety of the facility structure and operation, and feeds back to the prevention and control management system.

[0067] The unmanned aerial vehicle inspection system conducts supplementary monitoring and patrol on the environment within and around the road infrastructure, conducts observation from point to surface on the projects that cannot be observed by the weather forecasting system and the geological disaster system, obtains overall or local condition information within the road infrastructure, supplements the deficiency of the geological disaster monitoring system, and feeds back the inspection information to the prevention and control management system.

[0068] The emergency rescue system mobilizes the infrastructure and emergency equipment to carry out emergency rescue work, reduces or slows down the risk of essential safety or operation safety of the road infrastructure, and feeds back the processing result to the prevention and control management system.

[0069] Each interactive system in the model includes a user interface module, a data processing module, a storage module and a communication module.

[0070] The user interface module receives user input information and displays system output, and is a display, a mobile input terminal, or a touch screen display structure, etc., for displaying and operating system information and inputting instructions from an operator;

[0071] The data processing module calculates, integrates, filters, and processes input data, calls the storage module to store data, calls the communication module to interact with other systems, and sends the processing results to the user interface module for display.

[0072] The storage module is responsible for data storage and access.

[0073] The communication module provides data transmission between systems and receives relevant data from external weather and geological disaster release platforms.

[0074] The above is the system composition, information transmission process, and collaborative relationship of each system in the model. The method for jointly constructing a disaster risk assessment model for each system is as follows:

[0075] The assessment model is constructed by a plurality of interactive systems, wherein the interactive systems include the above-mentioned systems.

[0076] The information transmission path and the collaborative relationship between the systems are determined, and the information transmission path and the collaborative relationship between the systems are as described above.

[0077] The functional state value of each system in the model is obtained, and the functional state value is evaluated by selecting evaluation indexes based on the functional properties of the system.

[0078] The variable weight matrix is used to evaluate the completeness of the system functional state.

[0079] Based on the collaborative relationship between the systems, the collaborative correlation degree between the systems is calculated and obtained.

[0080] Based on the disaster types and environmental states affecting the operation of the system, a dynamic correction coefficient is determined, and the calculated system collaborative correlation degree is corrected.

[0081] Based on the functional state value, the completeness of the functional state, the collaborative correlation degree between the systems, and the dynamic correction coefficient, the disaster risk evaluation value of the model for the highway infrastructure is calculated.

[0082] The disaster risk evaluation value is used to determine the evaluation ability of the model for the disaster risk of the highway infrastructure.

[0083] The functional state value of each system needs to be evaluated by determining the evaluation index, and the evaluation standard of the system operation is based on the system operation efficiency and how to improve the accuracy of system monitoring and prediction. Therefore, the evaluation index includes coverage, accuracy, timeliness, robustness, and redundancy.

[0084] After the evaluation index is obtained, the analytic hierarchy process or expert review method is used to evaluate and assign values to each system.

[0085] In the coverage index review, the prevention and control management system and the infrastructure operation system use information connectivity with other systems as the evaluation assignment item.

[0086] The infrastructure monitoring system, the meteorological monitoring system, and the geological disaster monitoring system use monitoring coverage, complete information collection, and information connectivity with related systems as evaluation assignment items.

[0087] The unmanned aerial vehicle inspection system uses inspection coverage, complete information collection, and information connectivity with related systems as evaluation assignment items.

[0088] The emergency rescue system uses emergency rescue coverage and information connectivity with related systems as evaluation assignment items.

[0089] In the precision index review, the prevention and control management system uses information processing accuracy and instruction sending accuracy as evaluation assignment items.

[0090] The infrastructure operation system uses the accuracy of its judgment on infrastructure operation status as an evaluation assignment item.

[0091] The infrastructure monitoring system, the meteorological monitoring system, and the geological disaster monitoring system use information recognition accuracy and information analysis accuracy as evaluation assignment items.

[0092] The unmanned aerial vehicle inspection system uses identification accuracy of objects to be inspected and feedback accuracy as evaluation assignment items.

[0093] The emergency rescue system uses the effectiveness of its measures and the degree of impact on traffic as evaluation assignment items.

[0094] In the timeliness index review, the feedback time after each system receives information is used as the evaluation assignment item.

[0095] In the robustness index review, the prevention and control management system, the infrastructure monitoring system, the meteorological monitoring system, the geological disaster monitoring system, and the unmanned aerial vehicle inspection system all use system stability as evaluation assignment items.

[0096] The infrastructure operation system uses the structural safety of facilities, the technical condition safety, and the severity of regional sudden situation consequences as evaluation assignment items.

[0097] The emergency rescue system uses emergency supplies and personnel reserves, emergency plan planning, and training and drilling conditions as evaluation assignment items.

[0098] In the redundancy index review, the response capability of each system under functional failure is used as the evaluation assignment item.

[0099] Specific evaluation criteria are as follows:

[0100] 1. Coverage evaluation

[0101] (1) Prevention and control management system

[0102]

[0103] (2) Infrastructure operation system

[0104]

[0105] (3) Infrastructure monitoring system

[0106]

[0107] (4) Weather monitoring system

[0108]

[0109] (5) Geological disaster monitoring system

[0110]

[0111] (6) Unmanned aerial vehicle inspection system

[0112]

[0113] (7) Emergency rescue system

[0114]

[0115] 2. Precision evaluation

[0116] (1) Prevention and control management system

[0117]

[0118] (2) Infrastructure operation system

[0119]

[0120] (3) Infrastructure monitoring system

[0121]

[0122] (4) Weather monitoring system

[0123]

[0124] (5) Geological disaster monitoring system

[0125]

[0126] (6) Unmanned aerial vehicle inspection system

[0127]

[0128] (7) Emergency rescue system

[0129]

[0130] 3. Timeliness evaluation

[0131]

[0132] 4. Robustness evaluation

[0133] (1) Prevention and control management system

[0134]

[0135] (2) Infrastructure operation system

[0136]

[0137] (3) Infrastructure monitoring system

[0138]

[0139] (4) Weather monitoring system

[0140]

[0141] (5) Geological disaster monitoring system

[0142]

[0143] (6) Unmanned aerial vehicle inspection system

[0144]

[0145] (7) Emergency rescue system

[0146]

[0147] 5. Redundancy evaluation

[0148]

[0149] According to the evaluation index assignment, the function state value of the system is calculated, and the specific calculation formula is as follows:

[0150]

[0151] Among them, R iThe evaluation index is valued.

[0152] The matrix evaluation system function state completeness is shown in Table 1, wherein the horizontal direction of the matrix represents system function integrity, the vertical direction represents system real-time operation efficiency, and the weight value is shown in the evaluation matrix table:

[0153] System function state completeness evaluation matrix

[0154] full function incomplete function high efficiency 1.0 0.8 general 0.8 0.6

[0155] The system function state completeness value is obtained according to the evaluation matrix, and the value is adjusted according to the system operation state to form a variable weight function completeness value.

[0156] The following formula is used to calculate and obtain the cooperative correlation degree between systems:

[0157]

[0158] wherein, α ij represents j the cooperative correlation degree of the system i the system. BoP j represents j the basic function state of the system without cooperation with other systems η i represents i the function state change rate of the system, unit: % P j represents j the function state change value of the system under the function change of only i the system i the function state change value of the system under the function change of only η i the function state change value of the system under the function change of only j

[0159] When information interaction occurs between two systems, or the monitoring or prediction information of a system depends on the information transmission of another system, it is judged that the two systems have cooperative correlation degree, and the calculation uses the above formula, wherein, j the basic function state of the system without cooperation with other systems BoP j The calculation is as follows:

[0160]

[0161] wherein, R j is j ​The basic evaluation index assignment of the system, in the basic evaluation index assignment, the system connection value is the lowest, and the system itself function value is based on the system running state, and the value standard refers to the evaluation index assignment.

[0162] When the operation of the system is affected by disasters and environment, it is necessary to introduce correction coefficient to correct the importance and collaborative correlation of the system in the operation process, for example: in the condition of heavy rainfall weather, the importance of meteorological and geological disaster monitoring system is improved, and the unmanned aerial vehicle inspection system cannot be used, and the importance is reduced.

[0163] The correction coefficient includes disaster compensation coefficient and environmental interference compensation coefficient, wherein the disaster compensation coefficient is k1, and the calculation formula is as follows:

[0164]

[0165] Wherein, λ is the influence weight of disaster type on the system, the disaster resistance design strength is the highway structure design disaster resistance level, and the disaster threshold part strength is the part of the actual level of disaster exceeding the design level;

[0166] The calculation of the environmental interference compensation coefficient k2 is as follows:

[0167]

[0168] Wherein, μ is the influence weight of environmental influence factor on the system.

[0169] According to the historical data of disaster type and environmental influence factor, the influence weight is distributed by using analytic hierarchy process.

[0170] Based on the function state value, the function state completeness, the collaborative correlation between systems and the dynamic correction coefficient calculation model, the disaster risk evaluation value of highway infrastructure is calculated as follows:

[0171]

[0172] N is the number of system units, α j Indicates j The system and other systems have collaborative correlation, because the model is clear about the ability of the system to cope with disasters, at this time α j According to j The worst state value of the system, that is α j =Min( α ij ), k i For i The correction coefficient of the system, according to the disaster or environmental condition of engineering practice, one or the sum of the two, that isk i The sum of k1, k2 or both.

[0173] The model for highway facility disaster risk evaluation grade is shown in the evaluation grade table:

[0174] Model for highway facility disaster risk evaluation grade

[0175] disaster risk evaluation value R model evaluation level R>95 excellent R∈（80，95] good R∈（60，80] poor

[0176] According to the evaluation grade of the disaster risk evaluation value division model, the model highway facility disaster risk evaluation ability is clear.

[0177] Example one:

[0178] A certain highway tunnel is controlled by a highway management company, which sets up a disaster risk assessment model, accesses the tunnel structure monitoring and geological disaster monitoring platform, and is equipped with two unmanned aerial vehicles and accesses the meteorological monitoring system.

[0179] On a certain day in the afternoon, the meteorological department issued a rainfall orange warning, and the prevention and control management system immediately issued an instruction to increase the frequency of inspection and strengthen the monitoring of the tunnel entrance. On that day and night, short-term heavy rain occurred in the tunnel site area, and the geological disaster monitoring system monitored the collapse of the tunnel entrance, and the infrastructure monitoring system monitored 12 places of water leakage in the tunnel roof construction joint, and part of the mechanical and electrical facilities were damaged. After receiving the feedback from the monitoring system, the prevention and control management system made a judgment and started the emergency rescue, implemented the tunnel entrance dredging, tunnel water stop and drainage control to control the danger, and the central drainage ditch was reconstructed afterwards.

[0180] The model for tunnel disaster risk control ability assessment is as follows:

[0181] In this tunnel disaster risk control system, the tunnel is taken as the operation system, and the safety prevention and control management is carried out by the operation and management unit; the meteorological monitoring system and the geological disaster monitoring system are accessed to monitor the external environment of the tunnel site area, and the unmanned aerial vehicle is equipped to realize dynamic inspection; the tunnel is provided with a monitoring system to monitor its structure and operation safety; an emergency rescue system is set up to accept instructions and carry out emergency rescue work. The systems in the system are complete.

[0182] 1. Single system function state value evaluation

[0183] (1) The function state value of the highway facility safety prevention and control management system is shown in the following table:

[0184]

[0185] (2) The function state value of the highway infrastructure operation system is shown in the following table:

[0186]

[0187] (3) Highway infrastructure monitoring system function state value, as shown in the following table:

[0188]

[0189] (4) Geological disaster monitoring system function state value, as shown in the following table:

[0190]

[0191] (5) Weather monitoring system function state value, as shown in the following table:

[0192]

[0193] (6) UAV inspection system function state value, as shown in the following table:

[0194]

[0195] (7) Emergency rescue system function state value, as shown in the following table:

[0196]

[0197] In summary, the evaluation value of the function of each system in the tunnel disaster prevention and mitigation system is shown in the following table:

[0198]

[0199] 2、System function completeness β Evaluation

[0200] According to the real-time function integrity of the system when the disaster occurs, the variable weight matrix evaluation of the function completeness of each system is shown in the following table:

[0201]

[0202] 3、System function coordination degree α Evaluation

[0203] The coordination degree of system function depends on the coordination of each system, for example: meteorological monitoring system and geological disaster monitoring system, the basic function state of geological disaster monitoring system BoP j is 65, at this time input Δ η i = 30% meteorological forecast information, the function state of geological disaster system P j is 85, that is, Δ P j = 20, then the coordination relationship of geological disaster system to meteorological forecast system αij =1.02, thus calculating the function synergy correlation degree of each system, as shown in the following table:

[0204] system type collaborative correlation degree highway infrastructure safety prevention and control management system 1.0 highway infrastructure operation system 1.0 highway infrastructure monitoring system 1.1 regional geological disaster monitoring system 1.2 regional weather forecasting system 1.2 unmanned aerial vehicle inspection system 0.8 emergency rescue system 1.0

[0205] 4. Dynamic correction

[0206] Introduced parameters k The importance of each system and the change of the synergy correlation under the condition of short-time heavy rain at night are dynamically corrected, as shown in the following table:

[0207] system type dynamic correction highway infrastructure safety prevention and control management system 0 highway infrastructure operation system 0 highway infrastructure monitoring system +0.2 regional geological disaster monitoring system +0.2 regional weather forecasting system +0.2 unmanned aerial vehicle inspection system -0.4 emergency rescue system +0.2

[0208] 5. Model safety disaster prevention and mitigation capacity calculation

[0209]

[0210] It can be known from the grade division table that the safety disaster prevention and mitigation capacity grade of the tunnel is excellent.

[0211] Finally, it should be pointed out that: the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the specification of the present application.

Claims

1. A method for constructing a highway infrastructure disaster prevention and reduction assessment model, characterized in that, The method comprises the following steps: An evaluation model is constructed by using a plurality of interactive systems, wherein the interactive systems comprise a prevention and control management system, an infrastructure operation system, an infrastructure monitoring system, a geological disaster monitoring system, a meteorological prediction system, an unmanned aerial vehicle inspection system, and an emergency rescue system; The information transmission path and the cooperative correlation between the systems are determined; The function state value of each system in the model is obtained, and a variable weight matrix is used to evaluate the function state completeness of the system; The cooperative correlation between the systems is calculated and obtained based on the cooperative correlation between the systems; The dynamic correction coefficient is determined based on the disaster type and the environmental state, and the system importance and the cooperative correlation under the influence of the disaster and the environment are corrected; The disaster risk evaluation value of the highway infrastructure is calculated based on the function state value, the function state completeness, the system cooperative correlation, and the correction coefficient calculation model; The evaluation ability of the model for the disaster risk of the highway infrastructure is determined based on the disaster risk evaluation value; The function state completeness is divided into two types: complete function and incomplete function; The function state value of each system in the model is obtained by: Determining the system operation evaluation standard and selecting the function state value evaluation index; The analytic hierarchy process or expert review is used to evaluate and assign values to each system based on the evaluation index; According to the evaluation assignment of the evaluation index, a system function state value is calculated, and the function state value P i The following is calculated: wherein, R i assigning values to evaluation indexes; The cooperative correlation between the systems is calculated and obtained based on the following formula: wherein, α ij denotes j the degree of synergy of the system i the degree of synergy of the system BoP j denotes j the basic function state of the system without cooperation with other systems η i denotes i the rate of change of the function state of the system, in %, Δ P j denotes j the function state change value of the system under only i the function change of the system The disaster risk evaluation value of the highway infrastructure is calculated based on the following formula: N is the number of system units, α j denotes j System and other system cooperative relationship, α j = Min( α ij ).

2. The method according to claim 1, wherein the method is characterized by: The evaluation index includes coverage, accuracy, timeliness, robustness, and redundancy.

3. The method of claim 1, wherein the method further comprises: The variable weight matrix used in the system function state completeness includes the horizontal system function completeness and the vertical system real-time operation efficiency. The values of the two are determined based on the system operation state, and the system function state completeness weight is quantified.

4. The method of claim 1, wherein the method further comprises: The dynamic correction coefficient includes the disaster type compensation coefficient k1 and the environmental interference compensation coefficient k2, which are calculated as follows: Wherein, λ is the influence weight of the disaster type on the system; The environmental interference compensation k2 is calculated as follows: Wherein, μ is the influence weight of the environmental influence factor on the system.

5. The method of claim 1, wherein the method further comprises: j System's base function status value BoP j is calculated as follows: wherein, R j To j System basic evaluation index assignment.

6. A disaster prevention and reduction evaluation model of highway infrastructure constructed by the construction method according to claim 1, characterized in that: The model comprises the following interactive systems: The prevention and control management system is the information processing center of the model, which sends information instructions to the remaining systems and receives feedback from each system; The infrastructure operation system receives the instructions from the prevention and control management system, adjusts the operation state of the highway infrastructure, and serves as the monitoring and control object of the infrastructure monitoring system and the emergency rescue system; The infrastructure monitoring system receives the instructions from the prevention and control management system, adjusts the monitoring index, monitoring frequency, and monitoring time, monitors the infrastructure operation system in real time, and feeds back the monitoring data to the prevention and control management system; The meteorological prediction system receives meteorological release information, predicts the meteorological change trend and development path, and sends the prediction information to the prevention and control management system, which analyzes the information and guides the monitoring direction of the meteorological prediction system; The geological disaster monitoring system analyzes the geological factor change and development trend based on the geological information and meteorological prediction information in the monitoring area, and sends the geological prediction information to the prevention and control management system; The UAV inspection system receives the instruction of the prevention and control management system, carries out point-to-surface inspection observation on the project that cannot be observed by meteorological and geological disasters, obtains the overall or partial condition information within the range of highway infrastructure, supplements the meteorological and geological disaster monitoring information, and feeds back to the prevention and control management system. The emergency rescue system receives the instruction of the prevention and control management system, allocates the operation of infrastructure and emergency rescue equipment, and carries out emergency rescue work.

7. The disaster prevention and mitigation evaluation model for road infrastructure according to claim 6, characterized in that, Each interaction system in the model comprises: a user interface module that receives user input and displays system output, and is an interaction tool for users and the system; a data processing module that calculates, integrates, filters and processes input data, calls a storage module to store data, calls a communication module to interact with other systems, and sends the processing result to the user interface module for display; a storage module that is responsible for data storage and access; a communication module that provides data transmission between systems and receives data from an external meteorological and geological disaster release platform.

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