Dynamic decision-making method for emergency repair scheduling of regional key facilities based on weapon strike

Abstract

The present invention discloses a dynamic decision-making method for emergency repair scheduling of regional key facilities based on weapon strikes, including: real-time collection of regional information, determination of regional functional systems, key facilities of each functional system and key facilities associated with regional functional systems, and construction of a regional facility network; quantification of facility function loss, facility flow attributes, and facility emergency repair time limit, and construction of facility emergency repair priority classification indicators through data processing to obtain comprehensive fuzzy evaluation emergency repair priority of each facility; acquisition of emergency repair path plan according to facility emergency repair priority, construction of multi-objective optimization function in combination with real-time regional function recovery indicators, and acquisition of regional key facility emergency repair scheduling model with resource satisfaction, comprehensive facility emergency repair and non-repetitive emergency repair as constraint conditions; and acquisition of regional key facility emergency repair scheduling dynamic decision-making plan with real-time regional function recovery indicators combined with regional key facility emergency repair scheduling model. The method of the present invention makes decisions more comprehensive and accurate.

Description

Technical Field

[0001] The invention belongs to the technical field of battlefield data processing and command automation, in particular to a dynamic decision-making method for emergency repair scheduling of regional key facilities based on weapon strikes. Background Art

[0002] Weapon strike refers to the use of a variety of weapon systems to carry out precise attacks or complete destruction of designated targets through efficient strike methods such as explosions, penetration, and fragmentation.

[0003] Regional key facilities refer to facilities that play a key role in maintaining and ensuring the overall functional operation of the region under weapon strikes.

[0004] Dynamic decision-making on emergency repair and dispatch of key regional facilities refers to the real-time decision-making of flexible and orderly regional emergency repair action plans for key facilities that play a major role in the region in order to quickly restore the overall function of the region after being hit by weapons. This decision clarifies the priority order and responsibility allocation of emergency repair tasks.

[0005] Dynamic decision-making on emergency repair scheduling of regional key facilities based on weapon strikes is the basis for formulating emergency repair plans under regional weapon strikes, and is also the prerequisite for building an efficient regional emergency response system.

[0006] At present, the evaluation of the emergency repair value of engineering projects is described in the paper "Evaluation Model of Earthquake Emergency Repair and Construction Value Based on Two-stage Fuzzy Entropy Weight" (Wang Fengshan, Huang Yu, Liu Meng. Evaluation Model of Earthquake Emergency Repair and Construction Value Based on Two-stage Fuzzy Entropy Weight [J]. Journal of China Safety Science, 2010, 20(11): 66-71. DOI: 10.16265 / j.cnki.issn1003-3033.2010.11.009.), which discloses a method for evaluating the emergency repair value of engineering projects after an earthquake based on two-stage fuzzy entropy weight, including: constructing a value feature system of post-earthquake engineering projects; realizing the measurement feature analysis of value indicators by distinguishing different types of value indicators; obtaining value parameters by quantitatively evaluating each value indicator; standardizing the value parameters and calculating the value indicator weights using the information entropy weight theory; and using the fuzzy set theory to calculate the value coefficients of the engineering projects under various value criteria to achieve value evaluation.

[0007] However, the above method obtains the emergency repair value coefficient of each engineering project through the two-stage fuzzy entropy weight method, thereby obtaining the emergency repair order of each engineering project, but ignores the impact of the spatial location of the facilities and the emergency repair team on the emergency repair plan, and the evaluation is not comprehensive enough.

[0008] At present, the decision-making on the emergency repair scheduling of regional key facilities is described in the paper "Multi-objective joint optimization of maintenance resource allocation and task scheduling" (Liu Shengyu, Qi Xiaogang, Liu Lifang. Multi-objective joint optimization of maintenance resource allocation and task scheduling [J]. Acta Ordnance, 2024, 45(07): 2442-2450.), which discloses an optimization decision-making method for realizing resource allocation and task scheduling in a complex battlefield based on a multi-objective joint optimization model, including complex factors such as multi-center, open, multi-repair state, time window restriction, non-traversal path and capacity constraint in emergency repair scheduling, and establishes the research goal of maximizing maintenance benefits and minimizing risk costs; by introducing a dynamic replenishment strategy, combining regional risks and maintenance costs, constructing a multi-objective optimization mathematical model, and dynamically allocating resources; using the optimized multi-objective artificial bee colony (MOABC) algorithm, especially the MOABC-MMHS algorithm, to effectively handle extreme situations and achieve efficient solutions.

[0009] However, the above method supplements the data by randomly generating data to obtain the importance of facilities, which affects the objectivity and accuracy of resource allocation and task scheduling decisions.

[0010] In short, the problem with the existing technology is that the decision-making on emergency repair and scheduling of key regional facilities based on weapon strikes is not accurate and comprehensive enough. Summary of the invention

[0011] The purpose of the present invention is to provide a dynamic decision-making method for emergency repair scheduling of regional key facilities based on weapon strikes, which makes the decision more comprehensive and accurate.

[0012] The technical solution to achieve the purpose of the present invention is:

[0013] A dynamic decision-making method for emergency repair and dispatching of regional key facilities based on weapon strikes includes the following steps:

[0014] Construction of regional facility network: Use GIS information system to collect regional information in real time, and build regional facility network by determining regional functional systems, key facilities of each functional system and key facilities associated with regional functional systems;

[0015] Acquisition of facility repair priority: Quantify the facility function loss, facility flow attributes, and facility repair time limit. Through data processing, construct a classification index for facility repair priority. Combined with the two-stage fuzzy entropy weight method, obtain the comprehensive fuzzy evaluation repair priority of each facility.

[0016] Construction of regional key facility emergency repair scheduling model: Based on the emergency repair path evaluation function, real-time regional function recovery index, and facility emergency repair priority, a multi-objective optimization function is constructed, and the resource satisfaction, comprehensive facility emergency repair, and non-repeated emergency repair are used as constraints to obtain the regional key facility emergency repair scheduling model;

[0017] Dynamic decision-making on emergency repair and scheduling of regional key facilities: The real-time regional function recovery index is combined with the regional key facility emergency repair and scheduling model to obtain a dynamic decision-making plan for emergency repair and scheduling of regional key facilities.

[0018] Furthermore, the regional facility network construction step includes:

[0019] Regional information collection: using GIS information system to collect regional information before and after weapon strikes in real time, including regional functional type and facility functional characteristics; the facility functional characteristics include facility flow attributes, facility geometric parameters, facility working parameters, and facility attributes;

[0020] Construction of regional facility network: Based on the regional function type and facility function characteristics before the weapon attack in the regional information, determine the regional functional system, key facilities of each functional system, and key facilities associated with the regional functional system, and construct the regional facility network through the spatial location relationship and traffic flow attributes between the facilities.

[0021] Furthermore, the facility repair priority acquisition step includes:

[0022] Construction of facility repair priority classification index: quantify the facility function loss and facility flow attributes based on the facility geometric parameters and facility working parameters before and after the weapon strike, quantify the facility repair time limit based on the facility recovery time limit provided by experts, and further obtain the facility repair priority classification index through data processing;

[0023] Obtaining the weights of the first stage of the fuzzy entropy weight method: by using the facility repair priority classification index, calculating the entropy value of each index, and obtaining the information utility value, the weights of the first stage of the fuzzy entropy weight method are obtained;

[0024] The second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method: the classification indicators of the emergency repair priority of the facilities are divided into different fuzzy sets, and the fuzzy evaluation matrix is ​​constructed by constructing the membership function. Finally, the weighted average method is used to realize the second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method, and the fuzzy comprehensive evaluation emergency repair priority of each facility is obtained;

[0025] Acquisition of facility repair priority: the inverse of the fuzzy comprehensive evaluation repair priority of each facility is set as the facility repair priority. The smaller the repair priority, the higher the priority of the facility repair.

[0026] Furthermore, the steps of constructing the regional key facility emergency repair scheduling model include:

[0027] Resource satisfaction acquisition: Obtain resource satisfaction by collecting and quantifying the material resources and human resources of each repair team in real time;

[0028] Construction of emergency repair path evaluation function: through the facility spatial location and facility attributes in the facility geometric parameters, through GIS information technology, the shortest path between the facilities is obtained, combined with the emergency repair priority, so as to construct the emergency repair path evaluation function;

[0029] Acquisition of real-time regional function recovery index: define the regional function recovery function, obtain the emergency repair function recovery weight by collecting and quantifying the facility emergency repair function recovery level, obtain the network flow of each node with function recovery in combination with the function recovery weight, map the network flow of each node with function recovery to the regional facility network, update the regional node flow, combine the updated regional node flow with the regional function recovery function, and obtain the real-time regional function recovery index;

[0030] Construction of regional key facility emergency repair scheduling model: The emergency repair path plan is obtained according to the facility emergency repair priority, combined with the real-time regional function recovery index, and the resource satisfaction, comprehensive facility emergency repair and non-repetitive emergency repair are used as constraints to obtain the regional key facility emergency repair scheduling model.

[0031] Compared with the prior art, the present invention has the following significant advantages:

[0032] 1. More comprehensive decision-making: The present invention obtains feasible solutions for emergency repair paths through the three-dimensional spatial position of the facility, facility attributes, and facility emergency repair priority, and constructs a multi-objective optimization function based on real-time regional function recovery indicators. With resource satisfaction, comprehensive emergency repair of facilities, and non-repetitive emergency repair as constraints, a regional key facility emergency repair scheduling model is obtained, an emergency repair scheduling plan is obtained, and a comprehensive dynamic decision-making of the emergency repair plan under regional weapon strikes is achieved.

[0033] 2. More accurate decision-making: The present invention constructs a classification index of facility repair priority through facility function loss, facility flow attributes, and facility repair time limit. Combined with the two-stage fuzzy entropy weight method, the comprehensive fuzzy evaluation repair priority of each facility is obtained to obtain a more accurate repair plan, thereby achieving accurate dynamic decision-making on regional key facility repair scheduling based on weapon strikes. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is the main flow chart of the dynamic decision-making method for emergency repair and scheduling of key regional facilities based on weapon strikes of the present invention.

[0035] Figure 2 yes Figure 1 Flowchart of the steps for building a regional facility network.

[0036] Figure 3 is a schematic diagram of the structure of an example regional facility network.

[0037] Figure 4 yes Figure 1Flowchart of the steps for obtaining the emergency repair priority of facilities.

[0038] Figure 5 yes Figure 1 Flowchart of the steps for constructing the emergency repair scheduling model for key facilities in the central region.

[0039] Figure 6 It is a structural diagram of an example of regional network traffic for emergency repair updates. DETAILED DESCRIPTION

[0040] like Figure 1 As shown, the dynamic decision-making method for emergency repair scheduling of key regional facilities based on weapon strikes of the present invention comprises the following steps:

[0041] (10) Construction of regional facility network: Use GIS information system to collect regional information in real time, and build a regional facility network by identifying regional functional systems, key facilities of each functional system, and key facilities associated with regional functional systems.

[0042] like Figure 2 As shown, the (10) regional facility network construction acquisition includes:

[0043] (11) Regional information collection: using the GIS information system to collect regional information before and after a weapon strike in real time, including regional functional types and facility functional characteristics; the facility functional characteristics include facility flow attributes, facility geometric parameters, facility operating parameters, and facility attributes;

[0044] Among them, the regional function type refers to the collection of main functions or services undertaken in the region, such as power supply, water supply, oil / gas supply, etc.

[0045] The facility flow attributes describe the order of matter or energy within or between facilities, including: facility function type and corresponding flow order;

[0046] Facility geometry refers to the parameters of the facility's physical size, shape, and spatial layout, which are usually described by three-dimensional data, including: the facility's three-dimensional model and the facility's spatial position relationship.

[0047] Facility operating parameters refer to the parameters that ensure the normal operation of the facility, including: the characteristics of materials or energy within the facility or between facilities, such as the power generation capacity of a fuel generator is 100KW and the fuel consumption rate is 22.5L / h;

[0048] Facility attributes: used to determine facility attributes, including: maintenance team, emergency repair facilities, and safety facilities.

[0049] (12) Construction of regional facility network: Based on the regional function type and facility function characteristics before the weapon strike in the regional information, determine the regional functional system, key facilities of each functional system, and key facilities associated with the regional functional system, and construct a regional facility network based on the spatial location relationship and traffic flow attributes between the facilities;

[0050] The (12) regional facility network construction steps include:

[0051] (121) Determination of regional function system: according to the regional function type before the weapon strike in the regional information, the regional function system is obtained by statistics;

[0052] For example: Regional functional systems: power supply system, water supply system, oil / gas supply system;

[0053] (122) Determination of key facilities of each functional system: Based on the functional characteristics of the regional functional system and the facilities under the system, the key facilities of each functional system are statistically obtained;

[0054] For example: key facilities of the power supply system: power plants, substation equipment, distribution equipment, key production facilities;

[0055] (123) Determination of key facilities associated with regional functional systems: Based on the flow attributes of each facility, determine each key facility as one or more of a supply node, a transport node, or a demand node. Key facilities that are both supply nodes of a system and demand nodes of another system are set as key facilities associated with regional functional systems.

[0056] For example: Fuel generator: a key facility associated with the power supply system and the fuel supply system, serving as both a supply node for the power supply system and a demand node for the fuel supply system.

[0057] (124) Construction of regional facility network: A regional facility network is constructed based on the spatial location relationship and traffic flow properties between facilities.

[0058] Through the steps of determining the regional functional system, determining the key facilities of each functional system, and determining the key facilities associated with the regional functional system, combined with the spatial position relationship between the facilities, the distribution of the key facilities in the network is obtained. The dynamic process of interaction between facilities is revealed through the flow attributes of the facility traffic in the regional information, including the origin, path, and end point of the traffic. Based on the distribution of the key facilities in the network and the analysis of the flow attributes of the facility traffic, the regional facility network is further constructed, such as Figure 3 shown.

[0059] From the above process, combined Figure 3 It can be seen that the regional facility network not only includes the spatial location distribution of each key facility, but also represents the traffic flow relationship between facilities through directed edges (or links).

[0060] (20) Obtaining the priority of facility repair: Quantify the functional loss of the facility, the flow attributes of the facility, and the time limit for facility repair. Through data processing, construct a classification index for the priority of facility repair. Combined with the two-stage fuzzy entropy weight method, obtain the comprehensive fuzzy evaluation priority of each facility.

[0061] like Figure 4 As shown, the (20) facility repair priority acquisition step includes:

[0062] (21) Construction of facility repair priority classification index: Based on the geometric parameters and operating parameters of the facilities before and after the weapon strike, the facility function loss and facility flow attributes are quantified. Based on the facility recovery time limit provided by experts, the facility repair time limit is quantified. Through further data processing, the facility repair priority classification index is obtained.

[0063] The construction of the (21) facility repair priority classification index includes:

[0064] (211) Quantification of facility function loss: Based on the attributes of the facility and the geometric parameters of the facility before and after the weapon strike, the facility function loss assessment parameters are obtained, and the facility function loss assessment weight is obtained through the expert scoring method. The facility function loss assessment parameters and the facility function loss assessment weight are combined to obtain the regional facility function loss.

[0065] 1. Acquisition of facility function loss assessment parameters:

[0066] (1),

[0067] (2),

[0068] (3),

[0069] Among them, the top angle damage ratio , Area Damage Ratio , volume damage ratio represents the facility function loss assessment parameter, Indicates the amount of damage to the top corners before the weapon strikes. Indicates the amount of damage to the top corners after the weapon strikes. represents the surface area of ​​the facility before the weapon strikes, It indicates the damaged surface area of ​​the facility after the weapon strikes. Indicates the volume of the facility before the weapon strikes. Indicates the volume of facility damage after a weapon strike.

[0070] 2. Assessment of facility function loss:

[0071] (4),

[0072] in, represents the facility function loss assessment index, , , represents the facility function loss assessment parameter, , , represents the facility function loss assessment weight, : Facility top angle damage ratio, : Facility surface area damage ratio, : Facility volume damage ratio, : Facility top corner damage ratio weight, : Facility surface area damage ratio weight, : Facility volume damage ratio weight.

[0073] (212) Facility flow quantification: quantifying facility network flow according to facility operating parameters in the corresponding area information;

[0074] For example: fuel generator: power generation: 100KW, power supply system current: 100, fuel consumption rate: 22.5L / h, fuel supply system oil flow 22.5;

[0075] (213) Quantification of the time limit for emergency repair of facilities: Obtain the time limit for emergency repair of the facility based on the facility recovery time limit provided by experts;

[0076] For example, if the facility recovery time limit is 1 hour, then the corresponding facility repair time limit is 1 hour.

[0077] (214) Data processing: performing data cleaning and data conversion on the quantified facility function loss, facility flow and facility emergency repair time limit to achieve data processing;

[0078] 1. Data cleaning: Data cleaning is achieved by deleting erroneous, incomplete or inconsistent data in the quantified facility function loss, facility flow and facility repair time limit;

[0079] 2. Data conversion: format the cleaned data according to the data type, normalize the formatted data, and realize data conversion to achieve data processing;

[0080] (215) Construction of facility repair priority classification index: Based on the attributes of the facilities, the above-mentioned processed facility function loss, facility flow and facility repair time limit are mapped to the corresponding facilities as the repair priority classification index of each facility.

[0081] (22) Obtaining the weights of the first stage of the fuzzy entropy weight method: By using the facility repair priority classification index, the entropy value of each index is calculated, and the information utility value is obtained to obtain the weights of the first stage of the fuzzy entropy weight method.

[0082] 1. Entropy calculation:

[0083] (5),

[0084] (6),

[0085] in, For indicators The entropy value of is the number of facilities, For the Facility No. The probability of an indicator, Represents the weight of entropy calculation, get.

[0086] 2. Obtaining information utility value:

[0087] (7),

[0088] Indicator The information utility value of

[0089] 3. Determination of weights in the first stage of the fuzzy entropy weight method: Normalize the information utility value to obtain the weight of each facility repair priority classification index;

[0090] (23) The second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method: The classification indicators of the emergency repair priority of the facilities are divided into different fuzzy sets. By constructing a membership function and a fuzzy evaluation matrix, the weighted average method is finally used to realize the second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method to obtain the fuzzy comprehensive evaluation emergency repair priority of each facility.

[0091] 1. Fuzzy set division: the facility repair priority classification index is divided into parameter fuzzy set and fuzzy fuzzy set according to the acquisition method, the facility function loss and facility flow are taken as parameter fuzzy set, and the facility repair time limit is taken as fuzzy fuzzy set;

[0092] 2. Construction of fuzzy evaluation matrix: Determine the membership function for the fuzzy set through expert scoring method, so as to describe the membership of each facility under different evaluation indicators and construct the fuzzy evaluation matrix;

[0093] Among them, the rows of the fuzzy evaluation matrix correspond to the evaluation indicators, the columns correspond to the evaluation levels, and the elements are the corresponding membership values.

[0094] 3. Fuzzy comprehensive evaluation: The fuzzy evaluation matrix and the first-stage weights of the fuzzy entropy weight method are calculated using the weighted average method to obtain the fuzzy comprehensive evaluation repair priority of each facility.

[0095] (24) Obtaining the priority of facility repair: The inverse of the fuzzy comprehensive evaluation priority of each facility is set as the priority of the facility repair. The smaller the repair priority, the higher the priority of the facility repair.

[0096] (30) Construction of regional key facility emergency repair scheduling model: The emergency repair path plan is obtained according to the facility emergency repair priority, and a multi-objective optimization function is constructed in combination with the real-time regional function recovery index. The regional key facility emergency repair scheduling model is obtained with resource satisfaction, comprehensive facility emergency repair and non-repeated emergency repair as constraints.

[0097] like Figure 5 As shown, the steps of constructing the emergency repair scheduling model for key facilities in the (30) region include:

[0098] (31) Resource satisfaction acquisition: Obtain resource satisfaction by collecting and quantifying the material resources and human resources of each repair team in real time.

[0099] The (31) resource satisfaction acquisition step includes:

[0100] (311) Collection of materials and human resources of the emergency repair team: Obtain the materials and human resources of the emergency repair team through battlefield communications.

[0101] The material resources of the emergency repair team refer to the various material resources needed to restore or improve the function of facilities during the emergency repair process, such as emergency repair tools and materials; the human resources of the emergency repair team refer to all personnel involved in the emergency repair work, including technicians, managers, operators, etc.

[0102] (312) Quantification of material resources and human resources of the repair team: Obtain the materials required for the repair facilities through battlefield communications. If the corresponding repair team meets the requirements, the value is 1, otherwise it is 0, thus realizing the quantification of the material resources of the repair team; obtain the human resources required for the repair facilities through battlefield communications, and quantify the human resources of the repair team according to a score of 0-10;

[0103] (313) Resource satisfaction acquisition: through the material resources and human resources of the emergency repair team, if the material resource usage or human resources do not meet the requirements, the resources are not satisfied; if both the material resource usage and human resources meet the requirements, available resources are obtained according to the emergency repair capacity of human resources;

[0104] Resource satisfaction: , Indicates material resources. If the usage is met, it is recorded as 1, and if it is not met, it is recorded as 0. It represents human resources, and uses 0-10 to represent the emergency repair capability. If the emergency repair capability is less than 5, emergency repair is not required.

[0105] For example, available resources: , None of them meet the requirements for emergency repair, and their resource satisfaction is 0.

[0106] (32) Construction of emergency repair path evaluation function: Through the facility spatial location and facility attributes in the facility geometric parameters, the shortest path between the facilities is obtained through GIS information technology, and combined with the emergency repair priority, the emergency repair path evaluation function is constructed:

[0107] (8),

[0108] , (9),

[0109] (10),

[0110] (11),

[0111] represents the repair path evaluation function considering the repair priority, represents the repair path evaluation set, which is obtained by the repair priority of the facility and the shortest path between the corresponding facilities. Indicates the set of facilities to be repaired. Indicates the repair group. They represent the first facility to be repaired, the first facility to be repaired, and the facility to be repaired later when the repair team arrives. Indicates the emergency repair team. Indicates the emergency repair team Repair facilities The shortest path between Indicates emergency repair facilities The repair priority, Indicates that the facility is under repair , The shortest path between Indicates that the facility is under repair The repair priority, It represents the threshold range of the repair path evaluation function, expressed as a percentage, It represents the non-repetitive constraint condition of the directed path, which is solved by the path optimization algorithm to obtain the emergency repair path plan.

[0112] (33) Real-time regional function recovery index acquisition: define the regional function recovery function, collect and quantify the facility repair function recovery level in real time, map the regional facility network, and obtain the real-time regional function recovery index;

[0113] The (33) step of obtaining the real-time regional function recovery index comprises:

[0114] (331) Definition of regional function recovery function: By obtaining the flow of each facility before the weapon attack and in real time during emergency repair and recovery, the total flow of the region before the weapon attack and the total flow of the region in real time during emergency repair and recovery are obtained, and then the regional function recovery function is defined;

[0115] The step (331) of defining the regional function recovery function comprises:

[0116] (3311) Definition of the total regional flow function before a weapon strike: By obtaining the flow of each facility before a weapon strike, the sum of the underlying demand nodes is defined as the total regional flow before a weapon strike.

[0117] Bottom-level demand nodes: key facilities that serve only as traffic demand points and not as traffic supply points, such as regional key production facilities.

[0118] (12),

[0119] (13),

[0120] (14),

[0121] (15),

[0122] (16),

[0123] (17),

[0124] (18),

[0125] (19),

[0126] in, Indicates the total flow before the regional weapon attack, Indicates the key facility number at the end of the network traffic flow, ranging from 0 to num-1. The key facility at the end of the network traffic flow is only used as a demand node. Indicates the key facility number, Indicates the number of key facilities, Represents the network traffic of the underlying demand node, represents the network traffic and the traffic volume of the underlying demand nodes, , , They represent the supply node set, demand node set, and transportation node set respectively. Indicates key facilities of traffic, , , They represent the actual supply of all supply nodes in the region, the actual satisfaction of all demand nodes, and the actual capacity of all transportation nodes. , , They represent the maximum supply of the supply node, the maximum satisfaction of the demand node, and the maximum capacity of the transportation node. Describe the traffic balance constraints of key network facilities, Describes the maximum capacity constraint.

[0127] (3312) Definition of the real-time regional total flow function for emergency repair and restoration: By obtaining the real-time flow of each facility for emergency repair and restoration, the sum of the underlying demand nodes is defined as the real-time regional total flow for emergency repair and restoration.

[0128] Bottom-level demand nodes: key facilities that serve only as traffic demand points and not as traffic supply points, such as regional key production facilities.

[0129] (20),

[0130] (twenty one),

[0131] (twenty two),

[0132] Indicates the total flow of the area restored in real time after emergency repair. is the weight corresponding to the facility function recovery level, formula (21) represents the network flow of each node updated by combining the function recovery weight, and formula (22) represents the network flow of each node updated in real time during emergency repair. It means that from the end of the regional traffic, through the associated key facilities, step by step, the whole regional traffic network after emergency repair and restoration is constructed, so as to realize traffic update. It indicates the network traffic of network facilities at all levels after emergency repair and restoration. Indicates the real-time network traffic of the underlying demand node for emergency repair and restoration. Indicates the real-time network traffic and traffic of the underlying demand nodes for emergency repair and recovery.

[0133] (3313) Definition of regional function recovery function: The regional function recovery function is obtained by recovering the real-time flow of each facility and the real-time total flow of the region through emergency repair.

[0134] (twenty three),

[0135] (twenty four),

[0136] (25),

[0137] (26),

[0138] (27),

[0139] (28),

[0140] (29),

[0141] (30),

[0142] in, Represents the regional functional recovery index, , , The maximum supply of a single supply node after regional emergency repair, the maximum satisfaction of a single demand node, and the maximum capacity of a single transportation node. , , They represent the maximum supply of the supply node after regional emergency repair, the maximum satisfaction of the demand node, and the maximum capacity of the transportation node. Describe the traffic balance constraints of key network facilities, Describes the maximum capacity constraint.

[0143] (332) Data collection and quantification: Real-time data on the facility’s emergency repair function recovery level is obtained through battlefield communications.

[0144] When the repair level The weights for different levels are set as follows: 1, 0.75, 0.5, 0.25, 0, respectively, for complete functional recovery, partial functional recovery, basic functional maintenance, limited functional recovery, and total paralysis.

[0145] (333) Real-time regional function recovery index acquisition: by using the regional function recovery function, combined with the collected and quantified data, mapping the regional facility network, and obtaining real-time regional function recovery index, such as Figure 6 As shown;

[0146] (34) Construction of a regional key facility emergency repair scheduling model: A multi-objective optimization function is constructed based on the emergency repair path plan and real-time regional function recovery indicators, and the resource satisfaction, comprehensive emergency repair of facilities and non-repetitive emergency repair are used as constraints to obtain a regional key facility emergency repair scheduling model;

[0147] The mathematical expression of the regional key facility emergency repair scheduling model is shown in the following formulas:

[0148] (31),

[0149] (32),

[0150] (33),

[0151] (34),

[0152] (35),

[0153] in, It indicates the repair journey time of each feasible repair plan. , , They represent the first facility to be repaired, the first facility to be repaired, and the facility to be repaired later in the feasible plan. Indicates the operating speed of the repair team. , They represent the repair groups in the feasible solutions. Repair facilities The shortest path between the two, the repair team in the feasible plan Repair facilities The shortest path between Represents the weight of the multi-objective optimization function, obtained by expert scoring method, It represents a multi-objective optimization function that satisfies both the maximum regional function restoration index and the shortest repair journey time. They represent the constraints of sufficient resources, all facilities being repaired, and no repeated repairs. Indicates facilities under emergency repair, including Indicates key facilities The repair resources used, To repair resources for the region, Indicates the last moment of regional emergency repairs. Display facilities Whether it was repaired, Display facilities The number of times repairs were performed.

[0154] Example of facility repair scheduling model data:

[0155] ,

[0156] in, Indicates the facility number, Display facilities The repair priority, Indicates the number of emergency repair teams in the area. Display facilities With number The distance between the repair teams, Number The repair team of the facility Resource satisfaction, Indicates the current time period facilities After the number of repairs, Indicates the current time period facilities Whether the emergency repair is completed.

[0157] For example: Facility repair scheduling model data: It indicates that the facility numbered 1 has a repair priority of 0.8. There are two repair teams in the area. The distance between the first repair team and the facility is 100m, and the resource satisfaction is 0.7. The distance between the second repair team and the facility is 1000m, and the resource satisfaction is 0.9. The facility has not yet been repaired.

[0158] (40) Dynamic decision-making on emergency repair and scheduling of regional key facilities: The real-time regional function recovery index is combined with the regional key facility emergency repair and scheduling model to obtain a dynamic decision-making plan for the emergency repair and scheduling of regional key facilities.

[0159] Through real-time feedback of battlefield data, the three-dimensional spatial position of each facility, facility attributes, resource satisfaction, and facility emergency repair priority can be updated in real time. By constructing a regional key facility emergency repair scheduling model, the emergency repair scheduling plan can be corrected in real time to achieve emergency repair scheduling decisions.

[0160] The present invention obtains the distance between the facility and each repair group through the three-dimensional position of the facility space and the facility attributes, and constructs a multi-objective optimization function in combination with resource satisfaction and facility repair priority, constructs a regional key facility repair scheduling model, obtains a repair scheduling plan, and realizes a comprehensive dynamic decision-making of the repair plan under regional weapon strikes. Through the loss of facility function, facility flow attributes, and facility repair time limit, a facility repair priority classification index is constructed, and a comprehensive fuzzy evaluation repair priority of each facility is obtained in combination with a two-stage fuzzy entropy weight method, so as to obtain a more accurate repair plan and realize accurate dynamic decision-making of regional key facility repair scheduling based on weapon strikes.

Claims

1. A dynamic decision-making method for emergency repair and scheduling of regional key facilities based on weapon strikes, characterized in that: The steps include: Construction of regional facility network: Use GIS information system to collect regional information in real time, and build regional facility network by determining regional functional systems, key facilities of each functional system and key facilities associated with regional functional systems; Acquisition of facility repair priority: Quantify the facility function loss, facility flow attributes, and facility repair time limit. Through data processing, construct a classification index for facility repair priority. Combined with the two-stage fuzzy entropy weight method, obtain the comprehensive fuzzy evaluation repair priority of each facility. Construction of regional key facility emergency repair scheduling model: The emergency repair path plan is obtained according to the facility emergency repair priority, and a multi-objective optimization function is constructed in combination with the real-time regional function recovery index. The regional key facility emergency repair scheduling model is obtained with resource satisfaction, comprehensive facility emergency repair and non-repeated emergency repair as constraints; Dynamic decision-making on emergency repair and scheduling of key regional facilities: combining the real-time regional function recovery index with the emergency repair and scheduling model of key regional facilities to obtain a dynamic decision-making plan for emergency repair and scheduling of key regional facilities; The steps of constructing the regional key facility emergency repair scheduling model include: Resource satisfaction acquisition: Obtain resource satisfaction by collecting and quantifying the material resources and human resources of each repair team in real time; Construction of emergency repair path evaluation function: Based on the facility spatial location and facility attributes in the facility geometric parameters, the shortest path between the facilities is obtained through GIS information technology, and the emergency repair path evaluation function is constructed in combination with the emergency repair priority; Acquisition of real-time regional function recovery index: define the regional function recovery function, obtain the emergency repair function recovery weight by collecting and quantifying the facility emergency repair function recovery level, obtain the network flow of each node with function recovery in combination with the function recovery weight, map the network flow of each node with function recovery to the regional facility network, update the regional node flow, combine the updated regional node flow with the regional function recovery function, and obtain the real-time regional function recovery index; Construction of regional key facility emergency repair scheduling model: Based on the emergency repair path evaluation function, real-time regional function recovery index, and the facility emergency repair priority, a multi-objective optimization function is constructed, and the resource satisfaction, comprehensive facility emergency repair, and non-repetitive emergency repair are used as constraints to obtain a regional key facility emergency repair scheduling model; The resource satisfaction acquisition step comprises: Collection of materials and human resources of the repair team: Obtain materials and human resources of the repair team through battlefield communications; Quantification of material resources and human resources of the repair team: Obtain the materials required for the repair facilities through battlefield communications. If the corresponding repair team meets the requirements, the value is 1, and if not, the value is 0, thus realizing the quantification of the material resources of the repair team; obtain the human resources required for the repair facilities through battlefield communications, and quantify the human resources of the repair team according to a score of 0-10; Resource satisfaction acquisition: Analyze the material resources and human resources of the repair team. If the material resource usage or human resources do not meet the requirements, the resources are not satisfied. If both the material resource usage and human resources meet the requirements, available resources are obtained according to the human resources repair capacity. The step of obtaining the real-time regional function recovery index comprises: Definition of regional function recovery function: Based on the real-time flow of each facility before the weapon attack and after the emergency repair and recovery, the total regional flow before the weapon attack and the real-time total regional flow after the emergency repair and recovery are obtained, and then the regional function recovery function is defined; Data collection and quantification: Obtain and quantify the facility's emergency repair function recovery level in real time through battlefield communications; Acquisition of real-time regional function recovery index: The regional function recovery function is combined with the facility emergency repair function recovery level and mapped to the regional facility network to obtain a real-time regional function recovery index.

2. The dynamic decision-making method for emergency repair and dispatch of regional key facilities according to claim 1 is characterized in that: The steps of constructing the regional facility network include: Regional information collection: using GIS information system to collect regional information before and after weapon strikes in real time, including regional functional type and facility functional characteristics; the facility functional characteristics include facility flow attributes, facility geometric parameters, facility working parameters, and facility attributes; Construction of regional facility network: Based on the regional function type and facility function characteristics before the weapon attack in the regional information, determine the regional functional system, key facilities of each functional system, and key facilities associated with the regional functional system, and construct the regional facility network based on the spatial location relationship and traffic flow attributes between the facilities.

3. The dynamic decision-making method for emergency repair and dispatch of regional key facilities according to claim 2 is characterized in that: The steps of constructing the regional facility network include: Determining the regional function system: according to the regional function type before the weapon strike in the regional information, obtaining the regional function system by statistics; Determination of key facilities of each functional system: According to the functional characteristics of the regional functional system and each facility under the system, the key facilities of each functional system are statistically obtained; Determination of key facilities associated with regional functional systems: According to the flow attributes of each facility, determine each key facility as one or more of a supply node, a transport node, and a demand node. Set key facilities that are both supply nodes of this system and demand nodes of another system as key facilities associated with regional functional systems; Regional facility network construction: Construct a regional facility network based on the spatial location relationship and traffic flow properties between facilities.

4. The dynamic decision-making method for emergency repair and dispatch of regional key facilities according to claim 1 is characterized in that: The facility repair priority acquisition step includes: Construction of facility repair priority classification index: quantify the facility function loss and facility flow attributes based on the facility geometric parameters and facility working parameters before and after the weapon strike, quantify the facility repair time limit based on the facility recovery time limit, and further obtain the facility repair priority classification index through data processing; Obtaining the weights of the first stage of the fuzzy entropy weight method: According to the classification index of the priority of emergency repair of the facilities, the entropy value of each index is calculated, and the information utility value is obtained to obtain the weights of the first stage of the fuzzy entropy weight method; The second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method: the classification indicators of the emergency repair priority of the facilities are divided into different fuzzy sets, the membership function is constructed, the fuzzy evaluation matrix is ​​constructed, and the weighted average method is used to realize the second stage comprehensive fuzzy evaluation of the fuzzy entropy weight method, and the fuzzy comprehensive evaluation emergency repair priority of each facility is obtained; Facility repair priority acquisition: the fuzzy comprehensive evaluation repair priority of each facility is set as the facility repair priority.

5. The method for dynamic decision-making on emergency repair and dispatching of key regional facilities according to claim 4 is characterized in that: The facility repair priority classification index construction includes: Quantification of facility function loss: Based on the facility attributes and the facility geometric parameters before and after the weapon strike, the facility function loss assessment parameters are obtained, and the facility function loss assessment weight is obtained through the expert scoring method. The regional facility function loss is obtained by combining the facility function loss assessment parameters and the facility function loss assessment weight; Facility flow quantification: quantify the facility network flow according to the facility working parameters in the corresponding area information; Quantification of facility repair time limit: obtain the facility repair time limit based on the facility recovery time limit; Data processing: performing data cleaning and data conversion on the quantified facility function loss, facility flow and facility repair time limit to achieve data processing; Construction of facility repair priority classification index: According to the facility attributes, the facility function loss, facility flow and facility repair time limit after the data processing are mapped to the corresponding facilities as the repair priority classification index of each facility.

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