Disaster prevention and reduction evaluation model of highway infrastructure and construction method

Abstract

The invention relates to the field of risk assessment of highway infrastructures, in particular to a disaster prevention and reduction assessment model of highway infrastructures and a construction method, and the method comprises the following steps: constructing an assessment model through a plurality of interaction systems, the interaction system comprises 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. Determining an information transmission path and a cooperative association relationship between the systems; compared with the prior art, the method has the beneficial effects that on the basis of disclosing the multi-system cooperative disaster prevention and reduction evaluation model, a model construction method is further clarified, and the evaluation accuracy is improved. And data support is provided for subsequent model establishment, and the disaster risk of the highway infrastructure is reduced.

Description

TECHNICAL FIELD

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

[0002] Highway infrastructure safety is the basis for ensuring the 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 the safe operation of highway engineering.

[0003] Currently, safety disaster prevention and mitigation research in the field of highway infrastructure 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 system 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 relationship between systems to ensure the accuracy of real-time monitoring and prediction data, and the judgment of the model's 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 deeply researched, and after a lot of creative labor is paid, the present application is completed.

[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: A construction method of a highway infrastructure disaster prevention and mitigation assessment model, comprising the following steps: 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; The information transmission path and the synergistic relationship between the systems are determined; Obtain the functional state values ​​of individual systems in the model, and use a variable weight matrix to evaluate the completeness of the system's functional state; Based on the collaborative relationships between systems, calculate and obtain the degree of collaborative relationship between systems; Based on the type of disaster and the environmental conditions, determine the dynamic correction coefficients and correct the calculated system synergy degree. Disaster risk assessment values ​​for highway infrastructure are calculated based on functional status values, functional status completeness, inter-system synergy, and dynamic correction coefficients. The disaster risk assessment value clarifies the model's ability to assess disaster risks to highway infrastructure.

[0009] In this invention, as an improvement, obtaining the functional state values ​​of a single system in the model includes: Define clear system operation evaluation criteria and select functional status value evaluation indicators; The analytic hierarchy process (AHP) or expert review is used to evaluate and assign values ​​to each system using evaluation indicators. Based on the evaluation indicators and their assigned values, the system functional status values ​​are calculated as follows: in, R i Assign values ​​to the evaluation indicators.

[0010] In this invention, as an improvement, the evaluation indicators include coverage, accuracy, timeliness, robustness, and redundancy.

[0011] In this invention, as an improvement, the variable weight matrix used for system functional state completeness has the horizontal axis representing system functional completeness and the vertical axis representing system real-time operating efficiency. The weights of the system functional state completeness are quantified based on the system's operating state.

[0012] In this invention, as an improvement, the following formula is used to calculate and obtain the inter-system collaborative correlation degree: in, α ij express j The system i The degree of collaboration and interrelation within the system; BoP j express j The system's basic functional state when there is no collaboration with other systems; ∆ η i express i The rate of change of the system's functional state, in %, ∆ P j express j The system has onlyi The function state change value under the system function change.

[0013] In the present application, as an improvement, the dynamic correction coefficient includes a disaster type compensation coefficient and an environmental interference compensation coefficient, the disaster type compensation coefficient k1 is calculated as follows: Wherein, λ is the influence weight of disaster type on the system; The environmental interference compensation k2 is calculated as follows: Wherein, μ is the influence weight of environmental influence factor on the system; The influence weight of disaster type on the system and the influence weight of environmental influence factor on the system are calculated by using analytic hierarchy process according to disaster history data.

[0014] In the present application, as an improvement, the model calculates the disaster risk evaluation value of highway infrastructure as follows: N is the number of system units, α j Indicates j The coordination relationship between the system and other systems, α j =Min( α ij ).

[0015] In the present application, as an improvement, j The basic function state value of the system BoP j Is calculated as follows: Wherein, R j Is j The basic evaluation index value of the system.

[0016] A disaster prevention and mitigation evaluation model of highway infrastructure, the model includes the following interactive systems: 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; The infrastructure operation system receives the instructions of 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 of 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 weather prediction and 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, the prevention and control management system analyzes the information, and guides the monitoring direction of the weather prediction and forecasting system; 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; The unmanned aerial vehicle 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 weather and geological disasters, obtains the overall or local condition information in the range of highway infrastructure, supplements the weather 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 develops emergency rescue work.

[0017] In the application, as an improvement, each interaction system in the model comprises: A user interface module receives user input and displays system output, and is a tool for user interaction with the system; A data processing module 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 is responsible for data storage and access; A communication module provides data transmission between systems and receives data from external weather and geological disaster release platforms.

[0018] Compared with the prior art, the application has the following beneficial effects: (1) By establishing a multi-system cooperative disaster prevention and reduction evaluation model, the system evaluation standard of disasters on highway infrastructure is clear, and the construction method of the model is established to provide data support for subsequent model establishment, thereby reducing the disaster risk of highway infrastructure.

[0019] (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 degree between the systems is obtained by calculation, the disaster and environmental influence are corrected, the accuracy of system operation efficiency and monitoring prediction information is obtained, and the basis for evaluating the ability of the model is provided.

[0020] (3) The application determines the running state of the system through the evaluation index, judges the completeness of the system function and the correlation 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, so as to judge the evaluation ability of the model on the highway infrastructure by the grade. BRIEF DESCRIPTION OF DRAWINGS

[0021] In order to more clearly illustrate the specific embodiments or technical solutions of the present application in the prior art, the drawings required to be used 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.

[0022] Fig. 1 The structural diagram for evaluating the information transmission and cooperative correlation relationship of each interactive system of the model of the present application. DETAILED DESCRIPTION

[0023] The embodiments of the technical solutions of the present 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 present application, and therefore only serve as examples, but cannot limit the protection scope of the present application.

[0024] A disaster prevention and reduction evaluation model of highway infrastructure, the model contains several 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, each system cooperates with each other to jointly build a highway infrastructure evaluation model under disaster risk conditions.

[0025] Among them, the prevention and control management system is the information processing center of the model, receives the operation and monitoring data of the remaining systems, processes the data, and sends instructions to the remaining systems to control the operation of the entire disaster prevention and control system.

[0026] The infrastructure operation system controls the operation state of each item of highway infrastructure, wherein the infrastructure includes lighting, communication, waterproofing, safety facilities, monitoring and operation and maintenance system and other facilities, the infrastructure operation system sends the operation data of each facility to the prevention and control management system, and accepts the instructions of the prevention and control management system to adjust the operation state, which is the instruction object of the highway infrastructure monitoring system and the emergency rescue system, and is also the operation basis of the model.

[0027] The infrastructure monitoring system monitors the operation state of each item of infrastructure and highway structure, which includes the structural safety state of tunnel, bridge hole, pavement, roadbed and other building structures, and the operation state of each item of infrastructure in the operation system, and sends the monitoring information to the prevention and control management system.

[0028] The meteorological prediction and forecasting system communicates with the national meteorological system, observes the meteorological conditions of the highway infrastructure area, makes a prediction on the change trend and development path, and feeds back the prediction 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.

[0029] The geological disaster monitoring system receives the instructions of the prevention and control management system, adjusts the monitoring time, frequency, monitoring content, receives meteorological monitoring data, adjusts the monitoring direction according to the meteorological change, makes a judgment on the change and development trend of the geological factors affecting the safety of the facility structure and operation safety, and feeds back to the prevention and control management system.

[0030] The unmanned aerial vehicle inspection system carries out supplementary monitoring and inspection on the environment in the range of the highway infrastructure and the surrounding environment, carries out observation from point to surface on the projects that cannot be observed by the meteorological forecasting system and the geological disaster system, obtains the overall or local condition information in the range of the highway infrastructure, supplements the deficiency of the geological disaster monitoring system, and feeds back the inspection information to the prevention and control management system.

[0031] The emergency rescue system mobilizes the infrastructure and emergency equipment to carry out emergency rescue work, reduces or slows down the risk of the essential safety or operation safety of the highway infrastructure, and feeds back the processing result to the prevention and control management system.

[0032] Each interaction system in the model comprises a user interface module, a data processing module, a storage module and a communication module.

[0033] The user interface module receives user input information and displays system output. The user interface module is a display, a mobile input terminal or a touch screen display structure, etc., which is used for displaying system information and inputting operator instructions; 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; The storage module is responsible for data storage and access; The communication module provides data transmission between systems and receives relevant data from external meteorological and geological disaster release platforms.

[0034] 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 by each system is as follows: An assessment model is constructed by a plurality of interaction systems, wherein the interaction systems comprise the above-mentioned systems; 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; The functional state value of each system in the model is obtained, and the functional state value is evaluated by selecting evaluation indexes according to the functional attributes of the system; The variable weight matrix is used to evaluate the completeness of the system function state; Based on the collaborative relationship between the systems, the collaborative correlation degree between the systems is calculated and obtained; Based on the type of disaster and the environmental state affecting the system operation, a dynamic correction coefficient is determined, and the calculated system synergy correlation degree is corrected; Based on the functional state value, the functional state completeness, the synergy correlation degree between systems, and the dynamic correction coefficient calculation model, the disaster risk evaluation value of the highway infrastructure is calculated. The disaster risk evaluation value explicit model has the ability to evaluate the disaster risk of highway infrastructure.

[0035] The evaluation of the functional state value of a single system requires clear evaluation indicators, while the evaluation criteria for system operation are based on system operation efficiency and how to improve the accuracy of system monitoring and prediction. Therefore, the evaluation indicators include coverage, accuracy, timeliness, robustness, and redundancy.

[0036] After the evaluation indicators are obtained, the analytic hierarchy process or expert review method is used to evaluate and assign values to each system. In the coverage index review, the prevention and control management system and the infrastructure operation system use the information connectivity with the remaining systems as the evaluation assignment items. The infrastructure monitoring system, the meteorological monitoring system, and the geological disaster monitoring system use the monitoring coverage, the completeness of collected information, and the information connectivity with related systems as the evaluation assignment items. The unmanned aerial vehicle inspection system uses the inspection coverage, the completeness of collected information, and the information connectivity with related systems as the evaluation assignment items. The emergency rescue system uses its emergency rescue range and information connectivity with related systems as the evaluation assignment items.

[0037] In the accuracy index review, the prevention and control management system uses the accuracy of processed information and the accuracy of sent instructions as the evaluation assignment items. The infrastructure operation system uses the accuracy of its judgment on infrastructure operation status as the evaluation assignment item. The infrastructure monitoring system, the meteorological monitoring system, and the geological disaster monitoring system use the accuracy of identified information and the accuracy of analyzed information as the evaluation assignment items. The unmanned aerial vehicle inspection system uses the accuracy of identified inspection objects and the accuracy of feedback as the evaluation assignment items. The emergency rescue system uses the effectiveness of its measures and the degree of impact on traffic as the evaluation assignment items.

[0038] In the timeliness index review, the feedback time after each system receives information is used as the evaluation assignment item.

[0039] 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 the stability of the system as the evaluation assignment item. The infrastructure operation system takes the structural safety, technical condition safety and regional emergency situation consequence severity of the facility as the evaluation assignment items; The emergency rescue system takes the emergency material and personnel reserve situation, emergency plan and training and drilling situation as the evaluation assignment items.

[0040] In the redundancy index evaluation, the response capability under the failure of each system function is taken as the evaluation assignment item.

[0041] The specific evaluation assignment standards are as follows: 1. Coverage evaluation (1) Prevention and control management system (2) Infrastructure operation system (3) Infrastructure monitoring system (4) Weather monitoring system (5) Geological disaster monitoring system (6) Unmanned aerial vehicle inspection system (7) Emergency rescue system 2. Precision evaluation (1) Prevention and control management system (2) Infrastructure operation system (3) Infrastructure monitoring system (4) Weather monitoring system (5) Geological disaster monitoring system (6) Unmanned aerial vehicle inspection system (7) Emergency rescue system 3. Timeliness evaluation 4. Robustness evaluation (1) Prevention and control management system (2) Infrastructure operation system (3) Infrastructure monitoring system (4) Weather monitoring system (5) Geological disaster monitoring system (6) Unmanned aerial vehicle inspection system (7) Emergency rescue system 5. Redundancy evaluation According to the evaluation index assignment, the function state value of the system is calculated, and the specific calculation formula is as follows: Wherein, R i The evaluation index is assigned.

[0042] The matrix evaluation system function state completeness is constructed as shown in Table 1, wherein the horizontal direction of the matrix represents the system function integrity, and the vertical direction represents the real-time operation efficiency of the system, and the weight value is as shown in the evaluation matrix table: System function state completeness evaluation matrix full function incomplete function high efficiency 1.0 0.8 general 0.8 0.6 According to the evaluation matrix, the system function state completeness value is obtained, and the value is adjusted according to the system operation state, and a variable weight function completeness value is formed.

[0043] The following formula is used to calculate and obtain the coordination correlation degree between systems: Wherein, α ij Indicates j The coordination correlation degree of the system to i The coordination correlation degree of the system to BoP j Indicates j The basic function state of the system without cooperation with other systems; Δ η i Indicates i The function state change rate of the system, unit: %, Δ Pj express j The system has only i The change in functional state value under the change in system function, i.e. i The system in ∆ η i under the rate of change of functional state j The system's functional state changes.

[0044] When information is exchanged between two systems, or when the monitoring or predictive information of one system depends on the information transmission from the other system, a degree of synergy is determined between the two systems. This degree is calculated using the formula described above, where... j Basic functional status of the system when there is no collaboration with other systems BoP j The calculation is as follows: in, R j for j The system's basic evaluation indicators are assigned values. Among these, the system connectivity is assigned the lowest value, while the system's own functionality is assigned values ​​based on the system's operating status, with the values ​​determined by referring to the evaluation indicator assignment criteria.

[0045] When the operation of a system is affected by disasters and the environment, a correction coefficient needs to be introduced to adjust the importance and synergy of the system during operation. For example, under heavy rainfall conditions, the importance of meteorological and geological disaster monitoring systems increases, while the importance of drone inspection systems decreases when they cannot be used.

[0046] The correction factors include the disaster compensation factor and the environmental disturbance compensation factor. The disaster compensation factor is k1, and its calculation formula is as follows: Wherein, λ is the weight of the disaster type on the system, the disaster resistance design intensity is the disaster resistance level of the highway structure design, and the disaster exceeding the threshold intensity is the part of the actual disaster level that exceeds the design level; The environmental disturbance compensation coefficient k2 is calculated as follows: Where μ is the weight of the environmental impact factor on the system.

[0047] Based on historical data on disaster types and environmental impact factors, the analytic hierarchy process (AHP) was used to allocate the impact weights.

[0048] The disaster risk assessment value of highway infrastructure is calculated based on the functional state value, functional state completeness, inter-system synergy, and dynamic correction coefficient calculation model as follows: N is the number of system units, α j indicates j The system is associated with other systems in a cooperative relationship, because the model clearly indicates the ability of the system to respond to disasters, at which time α j According to j The worst state of the system is taken, that is α j =Min( α ij ), k i is i The correction coefficient of the system is taken according to the actual disaster or environmental conditions, one or the sum of both, that is k i k1, k2 or the sum of both.

[0049] The model for the evaluation of the risk of disasters to highway facilities is divided into the following evaluation levels: Model for the evaluation of the risk of disasters to highway facilities disaster risk evaluation value R model evaluation level R>95 excellent R∈（80，95] good R∈（60，80] poor According to the evaluation level of the disaster risk evaluation value, the model clearly indicates the ability of the model to evaluate the risk of disasters to highway facilities.

[0050] Example 1: A long tunnel on a highway is under the unified control of a highway management and maintenance company. The company sets up a disaster risk assessment model, accesses a tunnel structure monitoring and geological disaster monitoring platform, and is equipped with two unmanned aerial vehicles and a meteorological monitoring system.

[0051] On a certain day in the afternoon, the meteorological department issued a rainfall orange warning, and the prevention and control management system immediately issued instructions 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 joints, 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.

[0052] The model for the evaluation of the risk of disasters to highway facilities is as follows: In this tunnel disaster risk control system, the tunnel is taken as the operating system, and the safety control management is carried out by the operating and managing unit; the meteorological monitoring system and the geological disaster monitoring system are accessed to monitor the external environment of the tunnel site, 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 provided to accept instructions and carry out emergency rescue work. The systems in the system are complete.

[0053] 1. Single system function state value evaluation (1) Highway facility safety prevention and control management system function state value, as shown in the following table: (2) Highway infrastructure operation system function state value, as shown in the following table: (3) Highway infrastructure monitoring system function state value, as shown in the following table: (4) Geological disaster monitoring system function state value, as shown in the following table: (5) Meteorological monitoring system function state value, as shown in the following table: (6) Unmanned aerial vehicle inspection system function state value, as shown in the following table: (7) Emergency rescue system function state value, as shown in the following table: Based on the above, the evaluation value of the function of each system in the tunnel disaster prevention and mitigation system is shown in the following table: 2. System function completeness β Evaluation 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 carried out, as shown in the following table: 3. System function coordination correlation degree α Evaluation The coordination correlation degree of system function depends on the coordination correlation 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 correlation relationship of geological disaster system to meteorological forecast system α ij = 1.02, thus the function coordination correlation degree of each system is calculated, as shown in the following table: 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 4. Dynamic correction Introduced parameters k The important degree and the change of the coordination relation of each system under the short-time heavy rain at night are dynamically corrected, as shown in the following table: 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 5. Model safety disaster prevention and mitigation capacity calculation It can be seen from the grade division table that the safety disaster prevention and mitigation capacity of the tunnel is excellent.

[0054] Finally, it should be noted 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 description 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 degree between the systems is calculated and obtained based on the cooperative correlation between the systems; The dynamic correction coefficient is determined according to the disaster type and the environmental state, and the system importance and the cooperative correlation degree under the influence of disasters 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 degree, and the correction coefficient calculation model; The evaluation ability of the model for the disaster risk of the highway infrastructure is determined according to the disaster risk evaluation value.

2. The method according to claim 1, wherein, The function state value of each system in the model is obtained by: Determining the system operation evaluation criteria 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 according to the evaluation index; The function state value of the system is calculated according to the evaluation and assignment of the evaluation index, and the function state value is calculated as follows: wherein, R i Assign values to evaluation metrics.

3. The method for constructing a disaster prevention and mitigation assessment model for highway infrastructure according to claim 2, characterized in that: The evaluation index includes coverage, accuracy, timeliness, robustness, and redundancy.

4. The method of claim 1, wherein the method further comprises: In the variable weight matrix used for the function state completeness of the system, the horizontal direction of the matrix is the function completeness of the system, and the vertical direction is the real-time operation efficiency of the system. The function state completeness weight of the system is quantified according to the operation state of the system.

5. The method of claim 1, wherein the method further comprises: The cooperative correlation degree between the systems is calculated and obtained by using the following formula: Wherein, α ij Indicates j System's basic function state when no other system cooperates; i System's cooperative correlation degree; BoP j Indicates j System's basic function state when no other system cooperates; η i Indicates i System's function state change rate, unit: %; P j Indicates j System's function state change value under only i System's function change.

6. The method of claim 1, wherein the method further comprises: The dynamic correction coefficient includes a disaster type compensation coefficient and an environmental interference compensation coefficient. The disaster type compensation coefficient k1 is 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.

7. The method of claim 1, wherein the method further comprises: The disaster risk evaluation value of the highway infrastructure is calculated by the model as follows: N is the number of system units, α j represents j The system is associated with other systems in a cooperative relationship, α j = Min( α ij ), k i is a dynamic correction coefficient, β i is the completeness of the system function state, p i is the function state value.

8. The method of claim 5, 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.

9. A disaster prevention and mitigation evaluation model for highway infrastructure, characterized by: The model comprises the following interactive systems: 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 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, the monitoring frequency, and the 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 trend and development path of the meteorological change, and sends the prediction information to the prevention and control management system. The prevention and control management system analyzes the information and guides the monitoring direction of the meteorological prediction system; The geological disaster monitoring system analyzes the geological factor change and the development trend based on the geological information and the 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.

10. The disaster prevention and mitigation evaluation model for road infrastructure according to claim 9, 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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