A quantitative evaluation method for information and communication wargames

Abstract

This invention discloses a quantitative evaluation method for information and communication wargaming, comprising: dividing the entire simulation process into multiple stages based on combined actions; setting multiple step lengths for each evaluation stage according to the wargaming simulation; scoring the information and communication support effectiveness within each step length; accumulating the comprehensive scores of all step lengths within different stages to obtain the comprehensive score for that stage; and calculating the comprehensive score of this wargaming simulation based on the comprehensive scores of each stage. This invention constructs an information and communication wargaming system, introduces a combat system contribution rate evaluation method to comprehensively evaluate the entire information and communication support system, measures the contribution rate of individual nodes and individual actions in the information and communication support system, obtains accurate scores for each simulation step length of the information and communication wargaming, and constructs a precise quantitative adjudication simulation model for information and communication wargaming.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of information communication network evaluation, and more particularly to an information communication wargame quantitative evaluation method. BACKGROUND

[0002] With the substantial increase in the dependence of combat personnel and weapon equipment on information, the leading and controlling role of information flow in combat is increasingly evident. The right to control information has become the focus of contention between opposing sides, and information system equipment has become the preferred target of attack by both sides. Combat command and confrontation of information communication forces have moved from the "backstage" to the "front stage", and disrupting the orderly flow of information flow has become a key means for opposing sides to gain victory in confrontation.

[0003] Wargame refers to the use of a chessboard and chess pieces representing the battlefield environment and military forces, based on rules abstracted from war and training experiments, using probability principles, and adopting a round system to simulate the decision-making confrontation of combatants or multiple parties. Wargame, as an effective tool for simulating real combat, is highly valued by major military powers around the world and has been widely used in combat theory, combat plan evaluation, and combat decision-making. The simulated war process of scientific wargame often closely matches the actual war, helping military commanders to simulate war in advance, identify and correct deficiencies, and optimize combat plans to gain the initiative in war. Wargame evaluation, or adjudication management, is the calculation and evaluation of combat action results, which usually requires the development of a detailed evaluation system and the correction of action result data based on battlefield conditions, or the use of effectiveness evaluation mathematical models to calculate action result data, thereby determining the conclusion of the wargame confrontation.

[0004] Current wargame simulation systems do not have simulation functions for information communication support actions in joint combat simulation and tactics research under strong enemy threat. The simulation of command information flow and intelligence information flow is missing, and the simulation of wargame cannot fully meet the simulation of modern information warfare. The core position of information communication elements in the wargame system is not obvious, and the simulation of wargame cannot fully meet the simulation of modern information warfare, so it is urgent to integrate information communication wargame into existing synthetic wargame confrontation simulation systems to provide support for information communication support action simulation. For information communication forces, the effectiveness of their combat actions is reflected in the support of information communication for synthetic combat forces, and it is also urgent to develop information communication wargame simulation systems to support the development of policies, strategies, plans, and concepts. Therefore, a computer wargame evaluation and adjudication method in the field of information communication has become a problem to be solved in the prior art. SUMMARY

[0005] In order to solve at least one of the defects of the prior art or the demand for improvement, the present application provides an information communication wargaming quantitative evaluation method, which comprises the following steps.

[0006] In order to achieve the above-mentioned purpose, the embodiments of the present application provide the following technical scheme:

[0007] An information communication wargaming quantitative evaluation method comprises the following steps.

[0008] The entire deduction process is divided into multiple stages based on a synthetic action, and each evaluation stage is set as multiple steps according to wargaming deduction.

[0009] The information communication support efficiency in each step length is scored.

[0010] The comprehensive scores of all steps in different stages are accumulated to obtain the comprehensive score in the stage.

[0011] According to the comprehensive scores of the stages, the comprehensive score of the wargaming deduction is calculated.

[0012] The scoring of the information communication support efficiency in each step length comprises static scoring and / or dynamic scoring, wherein the static scoring comprises one or more of the sum of network connectivity capability scoring, network invulnerability capability scoring and dynamic networking capability scoring; and the dynamic scoring comprises network connectivity foundation scoring and / or critical instruction transmission scoring.

[0013] The network connectivity capability scoring comprises one or more of the sum of command link communication capability scoring, command communication network coverage capability scoring and node redundancy capability scoring.

[0014] The network invulnerability capability scoring comprises one or more of the sum of node robustness scoring, edge robustness scoring, node vulnerability scoring and edge vulnerability scoring.

[0015] The dynamic networking capability scoring comprises one or more of the sum of network coverage capability scoring, mobile deployment capability scoring and chain building capability scoring.

[0016] The network connectivity foundation scoring is to score the communication maintenance of the required support users by the information communication support; and the critical instruction transmission scoring is to score the support effect of the critical instruction in the information communication support.

[0017] As a preferred scheme of the present application, the command link communication capability score is a sum of one or more parameters of network capacity, maximum number of serviceable users and node comprehensive bandwidth; wherein,

[0018] The network capacity is a sum of capacities of each effective transmission link channel; the maximum number of serviceable users is a number of users that a communication unit can access at most; and the node comprehensive bandwidth is an average of maximum bandwidths of information transmission of each backbone microwave network communication link.

[0019] As a preferred scheme of the present application, the command communication network coverage capability score is a sum of ultra-short wave node coverage capability, microwave node coverage capability and radio access node coverage capability; wherein,

[0020] The ultra-short wave node coverage capability is a percentage of an ultra-short wave radio coverage area to a total area, the microwave node coverage capability is a percentage of a microwave radio coverage area to the total area, and the radio access node coverage capability is a percentage of a radio coverage area to the total area.

[0021] As a preferred scheme of the present application, the node redundancy capability score is a sum of redundancy efficiencies of all equipment, wherein the redundancy efficiency of each type of equipment is obtained by multiplying a ratio of the number of the type of equipment to the total number of communication equipment by an efficiency parameter of the type of equipment.

[0022] As a preferred scheme of the present application, the network coverage capability score is a sum of a network coverage area index and a networking means type index; wherein, the network coverage area index is a ratio of a maximum area in which the information communication network can remain unblocked to a preset area; and the networking means type index is a ratio of a number of information communication means used by the network in networking to a preset number.

[0023] As a preferred scheme of the present application, the mobile deployment capability score is a sum of a mobile time, a survey time and a deployment time; wherein, the mobile time is a time required for organizing troops to move to a designated region to build a basic communication network, the survey time is a time required for each combat unit to perform a local survey task and adjust an opening region after moving to a designated place, and the deployment time is a time required for each combat unit to actually erect and deploy equipment.

[0024] As a preferred scheme of the present application, the link establishment capability score is the link establishment success rate divided by the average link establishment time; wherein the average link establishment time is the average time of the information communication network to quickly establish a voice link when the information communication network is performing voice transmission between the source node and the destination node after N tests, and the link establishment success rate is the proportion of the information communication network to obtain the link establishment request information and successfully establish the link when the information communication network is performing voice transmission between the source node and the destination node.

[0025] As a preferred scheme of the present application, the network connection basis score is to calculate the user connection quality score coefficient of each user in the combat stage i and the corresponding guarantee maximum score, and then sum the product of all user connection quality score coefficients and the corresponding guarantee maximum score;

[0026] The calculation method of the user connection quality score coefficient includes: calculating the user connection quality requirement by the total number of important combat orders issued and reached to each user in the test environment; calculating the actual communication quality by the total number of important combat orders issued and reached to each user in the actual environment; when the actual communication quality is greater than or equal to the connection quality requirement, the user connection quality score coefficient is 1; when the actual communication quality is less than the connection quality requirement, the user connection quality score coefficient is represented as the ratio of the actual communication quality to the connection quality requirement;

[0027] The calculation method of the guarantee maximum score includes: multiplying the ratio of the average communication traffic in the test environment to the maximum value of the communication traffic in all combat stages by 5 and rounding up.

[0028] As a preferred scheme of the present application, the key instruction transmission score is calculated in the following manner:

[0029] A key instruction library is constructed, the instruction influence degree is calculated according to the influence of the instruction on the robustness of the communication link node, and the score of the corresponding instruction is calculated;

[0030] In all combat stages, N instructions are extracted, and the instruction issuing time t is determined;

[0031] Whether the instruction can be issued is judged according to the combat stage and the instruction extraction time, so as to add or subtract points;

[0032] Wherein, the score is represented as:

[0033] ;

[0034] ;

[0035] Z i represents the success score of the key instruction in the combat stage i,Z i S represents the failure score of the key instruction in the combat phase i; S i发射用户 and S i接收用户 respectively represent the highest score of the sending user and the receiving user in the combat phase i, and Ceil represents rounding up;

[0036] Instruction influence degree is represented as:

[0037] ;

[0038] wherein , respectively represent the node robustness before and after the instruction n is issued.

[0039] As a preferred scheme of the present application, when calculating the comprehensive score in the calculation phase, different weights are set for different time intervals, and the comprehensive score in the calculation phase is obtained by weighted accumulation.

[0040] When calculating the comprehensive score of the current war game, different weights are set for different phases, and the comprehensive score in the phase is obtained by weighted accumulation.

[0041] Overall, compared with the prior art, the above technical scheme conceived by the present application can achieve the following beneficial effects:

[0042] (1) The information communication war game quantitative evaluation method provided by the present application combines the information communication war game operator description view and behavior action classification, and describes the content description and index requirements of each action, thereby constructing a precise operator behavior evaluation system.

[0043] (2) The information communication war game quantitative evaluation method provided by the present application analyzes the system contribution rate of the information communication war game operator behavior to the overall support effectiveness, thereby constructing an information communication war game quantitative evaluation method based on the precise system contribution rate.

[0044] (3) The information communication war game quantitative evaluation method provided by the present application accurately determines the information communication war game decision rule through a quantitative decision algorithm, constructs an information communication war game system contribution rate evaluation model, and solves the problem of information communication war game victory and defeat decision scoring. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0046] Figure 1A flowchart of an information communication wargame quantitative evaluation method provided for an embodiment of the present application is shown in the figure;

[0047] Figure 2 A deduction step length score flowchart provided for an embodiment of the present application is shown in the figure;

[0048] Figure 3 A wireless communication connection schematic diagram provided for an embodiment of the present application is shown in the figure;

[0049] Figure 4 A key instruction transmission score calculation flowchart provided for an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application. In addition, the technical features involved in each embodiment of the present application described below can be combined with each other as long as they do not conflict with each other.

[0051] The terms "first", "second", "third" and the like in the specification and claims of the present application and the above-mentioned drawings are used to distinguish different objects and are not used to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed or can optionally include other steps or units inherent to the process, method, product or device.

[0052] As shown in Figure 1 As a first embodiment of the present application, an information communication wargame quantitative evaluation method is provided. Wherein, the key links are as follows:

[0053] 1) Deduction step length score

[0054] Combined with the wargame deduction step length setting, the information communication support effectiveness in each step length time is scored according to the wargame deduction process and network adjustment principle. In this embodiment, the score of information communication support effectiveness can include scheme evaluation (i.e. static score) and deduction evaluation (i.e. dynamic score). It can also be understood by those skilled in the art that only using scheme evaluation or deduction evaluation can also achieve the technical effect of information communication support effectiveness score. The specific information communication support effectiveness score calculation method is as follows:

[0055] a. Extract the information communication support situation at the end of the current step n (the current situation after the influence of the actions of both parties), and the main combat actions R of both parties onand B on ;

[0056] b. Constructing a scheme evaluation model to score the current information communication support situation to obtain a score S n1 ;

[0057] c. Constructing a deduction evaluation model to score the communication state of the protected user under the influence of the actions of both sides to obtain a score S n2 ;

[0058] d. Accumulating to obtain the comprehensive score Sn of the step n.

[0059] 2) Stage scoring

[0060] a. Based on the synthetic action, the entire deduction process is divided into multiple evaluation stages, and the weight of each stage is initialized. The stage can be flexibly adjusted and set, from a small instruction action stage to a large campaign operation stage.

[0061] b. The comprehensive scores of all steps in the stage are accumulated to obtain the comprehensive score of the operation stage.

[0062] 3) Comprehensive scoring

[0063] The comprehensive scores of each operation stage are accumulated to obtain the comprehensive score S of this deduction, +S for the red side and -S for the blue side.

[0064] Figure 2 The specific steps of the first step in the embodiment are shown, mainly including static scoring and dynamic scoring. For the static scoring in the first step, a static evaluation method based on the evaluation index model and network organization rules is adopted to preliminarily select the scheme, and the network connectivity capability, network invulnerability, and dynamic networking capability in each networking scheme are mainly evaluated. Static evaluation can be carried out according to the steps of network scheme data extraction, network scheme structured description, evaluation index model establishment, and network evaluation model operation.

[0065] For the dynamic scoring in the first step, the battlefield situation and network state of each segment are mainly dynamically evaluated in near real time. Under different combat time periods, different degrees of confrontation, and different network equipment battle damage conditions, the network connectivity relationship, communication quality requirements, and communication business operation indexes of the protected object are comprehensively calculated and analyzed, and the influence of the red side commander's adjustment action on the network information communication support efficiency is analyzed to obtain a comprehensive evaluation conclusion.

[0066] Specifically, the static scoring includes network connectivity capability scoring, network invulnerability scoring, and dynamic networking capability scoring. The specific calculation methods of each static scoring are as follows.

[0067] 1) Network connectivity capability scoring

[0068] The network connectivity capability score includes one or more of the sum of the command link connectivity capability score, the command communication network coverage capability score, the user communication transmission capacity satisfaction capability score, and the node redundancy capability score.

[0069] a. Command link connectivity capability score

[0070] Connectivity capability is a basic indicator for evaluating the Internet, which is a "veto" indicator. If the network cannot be connected as a whole, it is meaningless to measure the connectivity of the Internet with local transmission bandwidth, rate, capacity, and other secondary indicators. The following uses an adjacency matrix decision algorithm to determine whether the Internet can be connected. The algorithm is described as follows:

[0071] Problem description: Determine whether m network nodes (excluding user nodes, when the node is knocked out, it is not calculated) established in a plane are connected in a network, that is, whether m nodes are in a network. Code implementation can refer to the BFS method of network-undirected graph connectivity judgment. BFS method: start from a node, access all nodes associated with it, and enqueue these nodes. Repeat this process until the node queue is empty. If the connected component does not contain all nodes, it does not meet the connectivity, otherwise it meets the connectivity. If it does not meet the connectivity, the connectivity capability is 0. Under the condition of meeting the connectivity, the connectivity capability of different network planning schemes is evaluated, which can be measured from the following three indicators. Finally, score according to these three indicators alone or in combination.

[0072] ① Network capacity A 111 (Metric unit: M)

[0073] Network capacity represents the sum of the capacity of each valid transmission link channel in the information communication network system.

[0074]

[0075] Where: A 111 represents the network capacity, represents the standard channel bandwidth of the ith link. represents the noise coefficient of the ith link, which is proportional to the electromagnetic environment interference coefficient is proportional to the distance S i , but cannot be greater than 1.

[0076]

[0077] The specific calculation steps of the formula are as follows:

[0078] First step: call all link information, count n links in common; set a loop, loop from the first link to the last link;

[0079] Second step: read two points of the ith link connection, calculate the distance S between the two points according to the coordinates of the two points i ;

[0080] Third step: call the electromagnetic environment interference coefficient of all points in the link line in the map environment ;

[0081] Fourth step: call the minimum communication bandwidth B of the two device parameters used in the connection link i , the minimum standard communication distance S b ;

[0082] Fifth step: calculate respectively according to the formula ;

[0083] Sixth step: calculate to the last link, jump out of the loop, and finally calculate the network capacity A according to the formula 111 .

[0084] ② The maximum number of users that can be served A 112 (metric unit: M)

[0085] The maximum number of users that can be served A 112 is the number of users that can be accessed by the communication unit in the information communication network.

[0086] A 112 =sum{N1, N2, N3…N m}-m

[0087] Where: A 112 represents the maximum number of users that can be served, where N is the number of users that can be accessed by each network node, and m is the number of communication nodes.

[0088] The specific calculation steps of the formula are as follows:

[0089] First step: call all communication nodes, and count that there are m communication nodes in total;

[0090] Second step: read all communication devices on each communication node, call the number of users that can be accessed by these devices, and sum up to get the number of users that can be accessed by the communication node Ni.

[0091] Third step: calculate the sum to get A 112 according to the formula.

[0092] ③ Node comprehensive bandwidth A113 (metric unit: M)

[0093] Node comprehensive bandwidth is the average value of the maximum bandwidth of each backbone microwave network communication link that can transmit information.

[0094]

[0095]

[0096] wherein: A 113 represents the node comprehensive bandwidth, represents the channel bandwidth of the ith link standard. represents the noise coefficient of the ith link, which is proportional to the electromagnetic environment interference coefficient and the distance S i , but cannot be greater than 1.

[0097] The specific calculation steps of the formula are as follows:

[0098] Step 1: Call all the link information of the backbone microwave network, count the total number of links n; set a loop to read from the first link to the last link.

[0099] Step 2: Read the two points connected by the ith link, calculate the distance Si between the two points according to the coordinates of the two points.

[0100] Step 3: Call the electromagnetic environment interference coefficient of all points in the link line in the map environment .

[0101] Step 4: Call the minimum communication bandwidth B i and the minimum standard communication distance S b of the two device parameters used to connect the link.

[0102] Step 5: Calculate respectively according to the formula.

[0103] Step 6: Calculate to the last link, jump out of the loop, and finally calculate the network capacity A 113 according to the formula.

[0104] b. Command communication network coverage capacity score

[0105] In the communication network support, there are two ways of connection through wire and wireless. The wired connection method generally refers to the connection through optical fiber and multiple lines, which does not have coverage area. The wireless connection method generally refers to communication connection through microwave, short wave or ultrashort wave, and the wireless connection method is usually centered on the node with communication distance as the radius, which can cover a certain region. Figure 3 A wireless communication connection diagram is shown, which can be seen that there are microwave to establish A type network and ultrashort wave to establish B type network. The communication network coverage capacity refers to the range of user communication connection covered by these nodes. Since different types of nodes have different communication methods and different communication efficiency, the coverage capacity of the network system needs to be calculated.

[0106] Figure 3 The smallest circle shows the VHF radio coverage area, and the VHF node coverage capability is the percentage of the VHF radio coverage area in the total area, which is expressed as:

[0107]

[0108] Wherein: A 12-超短 represents the coverage of the network. M r represents the number of lattices covered by the VHF area on the map, and M represents the total number of lattices in the target area of the battlefield.

[0109] The specific calculation steps of the formula are as follows:

[0110] Step 1: Assuming that no communication nodes are constructed, all lattices on the map cannot access the communication network, so a parameter of whether the communication network can be accessed is set, and is initialized to 0;

[0111] Step 2: When the VHF communication network node is constructed, the lattices covered by the node on the system map are calculated according to the communication equipment used by the VHF communication node, and the parameter of whether the covered lattice can access the communication network is marked as 1. If the lattice is marked repeatedly, it is still counted as 1.

[0112] Step 3: Read the parameter of whether the communication network can be accessed for all lattices (M) in the target area, and calculate the number of lattices whose parameters are marked as 1 as M r , and calculate A 12-超短 according to the formula.

[0113] Similar to the VHF node coverage capability, the microwave node coverage capability is the percentage of the microwave radio coverage area in the total area, and the radio access node coverage capability is the percentage of the radio coverage area in the total area, which can be calculated by the same method as described above.

[0114] c. Node redundancy capability score

[0115] The commander uses various communication equipment according to the combat scenario, but considering the damage of the equipment, generally some equipment is left idle for standby, and the node redundancy capability is the total effectiveness of the standby equipment of various types, which is expressed as the following formula:

[0116]

[0117] Wherein is the remaining equipment effectiveness of the A-type communication equipment, a g is the effectiveness parameter of the A-type communication equipment, M gs is the number of remaining A-type communication equipment, M gz is the total amount of A-type communication equipment; is the residual equipment effectiveness of the B-type communication equipment, a w is the B-type communication equipment effectiveness parameter, M ws is the residual number of B-type communication equipment, M wz is the total number of B-type communication equipment, and so on. The residual equipment effectiveness of the equipment of a certain type is obtained by multiplying the ratio of the residual number of equipment of the type to the total number of communication equipment of the type by the effectiveness parameter of the equipment of the type. The residual equipment effectiveness of all equipment is accumulated to obtain the node redundancy capability score.

[0118] The specific calculation steps of the formula are as follows:

[0119] First step: calculate the total number of each type of communication equipment in the scenario formation, such as M gz A-type communication equipment M wz B-type communication equipment M ws in the scenario formation;

[0120] Second step: deduce the residual number of each type of communication equipment in the implementation process, such as M gs A-type communication equipment M ws B-type communication equipment M ws in the implementation process at a certain time;

[0121] Third step: substitute the effectiveness parameters of each equipment, and calculate the node redundancy capability score according to the formula.

[0122] 2) Network invulnerability score

[0123] The network invulnerability is the resistance of the network to internal faults or external damage, including robustness to random damage and vulnerability to deliberate damage. Both robustness and vulnerability involve information communication nodes (nodes) and links (edges) in the network. Therefore, the robustness and vulnerability are characterized from the perspectives of nodes and edges to measure the network invulnerability.

[0124] Specifically, the network invulnerability score includes node robustness, edge robustness, node vulnerability, and edge vulnerability.

[0125] The calculation method of node robustness is as follows:

[0126] .

[0127] represents the relative size of the largest connected network after Q nodes are damaged; N represents the number of nodes in the network; Q represents the number of damaged nodes; represents the total number of the largest connected nodes in the network after Q nodes are damaged.

[0128] The node robustness R is represented as:

[0129] R= .

[0130] The calculation of edge robustness is as follows:

[0131] The path length is the number of edges between any two nodes i and j, where the path with the least number of edges between nodes i and j is the shortest path length. The average path length L in the network is defined as the average of the shortest path length between any two nodes, and its expression is:

[0132] .

[0133] where Lij is the shortest path length between nodes i and j, and N is the total number of nodes in the network.

[0134] Edge robustness is the proportion of the number of damaged edges to the total number of edges when the network reaches the maximum average path length, and its expression is .

[0135] The calculation of node vulnerability is as follows:

[0136] The global efficiency E of the network nodes is the average of all node efficiencies, where Lij is the shortest path length between nodes i and j, and N is the total number of nodes in the network:

[0137] .

[0138] The vulnerability JC of the network nodes is calculated as the maximum ratio of the global efficiency of the network after damaging node n to the global efficiency of the original network:

[0139] .

[0140] is the global efficiency after removing the damaged node n and all its links.

[0141] The calculation of edge vulnerability is as follows:

[0142] The global efficiency of the network edges E is the average of all edge efficiencies, where Lij is the shortest path length between nodes i and j, and N is the total number of edges in the network:

[0143] .

[0144] The vulnerability LC of the network edges is calculated as the maximum ratio of the global efficiency of the network after damaging edge n to the global efficiency of the original network.

[0145] .​

[0146] To remove the edge n and all the links after the global efficiency.

[0147] 3) Dynamic networking capability score

[0148] Dynamic networking capability is a description of the network's dynamic adaptation and on-demand adjustment capability, which to some extent reflects the network structure's dynamic support for demand.

[0149] a. Network coverage capability C11

[0150] Network coverage capability refers to the ability of an information communication network to use different communication means to ensure the connectivity of command posts or combat units within the operational area. Therefore, network coverage capability can be divided into two sub-indicators: network coverage area and the number of types of business means.

[0151] Network coverage area C111 (unit of measurement: square kilometers)

[0152] Network coverage area refers to the maximum area within which an information communication network can maintain smooth communication in the operational area.

[0153] Network means type coefficient C112 (unit of measurement: species)

[0154] The network means type coefficient is defined as the number of types of communication means such as wired (fiber, 2M remote transmission, covered wire), wireless (short wave, ultra-short wave, microwave, scattering, satellite) that can be used in the basic network system during network construction.

[0155] In this embodiment, the indices corresponding to the above two indicators are calculated, which together constitute the network coverage capability score. That is, the network coverage capability score is the sum of the network coverage area index and the network means type index; wherein the network coverage area index is the ratio of the maximum area that the information communication network can maintain smooth to the preset area; the network means type index is the ratio of the number of information communication means used in network construction to the preset number.

[0156] b. Mobile deployment capability C12

[0157] Mobile deployment capability refers to the ability of our communication support unit to move to a certain area to set up a communication unit to ensure the smooth construction of the information communication network system. It can be divided into three sub-indicators: mobile time, survey time, and deployment time.

[0158] Mobile time C121 (unit of measurement: seconds)

[0159] The maneuvering time refers to a time required for organizing troops to maneuver to a designated region to build a basic communication network after a network planning scheme of an information communication network is formed

[0160] The surveying time C122 (unit of measurement: seconds)

[0161] The surveying time refers to a time required for each combat unit in an information communication network system to maneuver to a designated location to perform a local surveying task and adjust an opening region.

[0162] The deploying time C123 (unit of measurement: seconds)

[0163] The deploying time refers to a time required for each combat unit to actually set up a deploying equipment after maneuvering and surveying are completed.

[0164] In the present embodiment, indices corresponding to the above three indexes are calculated, and collectively constitute a maneuvering and deploying capability score. That is, the maneuvering and deploying capability score is a sum of the maneuvering time, the surveying time, and the deploying time; wherein the maneuvering time is a time required for organizing troops to maneuver to a designated region to build a basic communication network, the surveying time is a time required for each combat unit to maneuver to a designated location to perform a local surveying task and adjust an opening region, and the deploying time is a time required for each combat unit to actually set up a deploying equipment.

[0165] c. Link building capability C13

[0166] The link building capability refers to a capability of each communication unit of an information communication network to build a communication link. It can be decomposed into two lower-level indexes, an average link building time and a link building success rate.

[0167] The average link building time C131 (unit of measurement: seconds)

[0168] The average link building time refers to an average time required for an information communication network to quickly build a voice link when voice transmission is performed between a source node and a destination node, after N times of testing.

[0169] The link building success rate C132 (unit of measurement: %)

[0170] The link building success rate refers to a proportion of a case in which a link building request information is acquired and a link is successfully built, when voice transmission is performed between a source node and a destination node in an information communication network.

[0171] In the present embodiment, the indices above are calculated to form an index, which together constitutes the chain building capability score. That is, the chain building capability score is the chain building success rate divided by the average chain building time; wherein the average chain building time is the average time for the information communication network to quickly establish a voice link when the source node and the destination node are performing voice transmission after N tests, and the chain building success rate is the proportion of the information communication network that can obtain a link establishment request information and successfully establish a link when the source node and the destination node are performing voice transmission.

[0172] The above is part of the static score in the present embodiment. In the present embodiment, the network connectivity capability score, the network invulnerability capability score and the dynamic networking capability score are summed up to serve as the static score. In other embodiments, one or two parameters of the above scores can also be selected to serve as the static score.

[0173] In the present embodiment, the dynamic score of the deduction step is also included. For the dynamic score of the deduction step, it is assumed that users A1, A2, A3, …, An need to be protected. In order to protect the communication of the users, the information communication forces chess system constructs corresponding communication hubs B1, B2, B3, …, Bm according to the combat requirements, and establishes corresponding links to form a corresponding information communication support network. In order to achieve the purpose of scoring, first, according to the information communication support network, a corresponding detailed communication record table is established according to the business classification, which becomes a certain business communication record detailed table. In the table, all communication means and communication quality between each two users for this type of business need to be recorded. For example, for voice business, a detailed voice business communication record table is established, which is called a voice business communication record detailed table. For example, according to the information support network, there are three means for voice business between user A1 and user A2: one is wireless direct connection, with a communication quality of 2; two is satellite direct connection, with a communication quality of 1; three is to connect the communication hub B1 through microwave, and then transfer to user A2 through microwave, with a communication quality of 5; four is to connect the communication hub B2 through microwave, then connect the communication hub B3 through microwave, and finally transfer to user A2 through microwave, with a communication quality of 5.

[0174] The information communication forces chess network dynamic score includes a network connectivity basic score and a key instruction transmission score.

[0175] 1) Network connectivity basic score

[0176] The information communication support effect is reflected in the user business communication. Establishing a suitable communication network to support the military operations of each user is the primary business of the information communication support forces. The network connectivity basic score is to score the communication maintenance of the information communication support for the users to be protected.

[0177] a. Develop a user node score table

[0178] The information communication assurance users include user group A, user group B, user group C, and many other users. In this embodiment, the test condition is set as ten experiments, two hours each time, and the average communication traffic of ten experiments is used as the combat phase i and the average communication traffic of different groups That is, the ratio of the average communication traffic in the combat phase i under the test environment to the maximum value of the communication traffic in all combat phases, multiplied by 5 and rounded up. In one case, the highest scores of the combat A phase and the combat B phase can be obtained as shown in the following table.

[0179] Table 1 Data traffic user score of combat A phase

[0180]

[0181] Table 2 Voice traffic user score of combat B phase

[0182]

[0183] b. Communication quality score coefficient table

[0184] The communication quality requirement is the average total number of important combat orders issued and reached to each user within ten experiments, two hours each time, which is The information communication assurance user communication quality requirement is , which is In one case, the communication quality requirement table can be obtained as shown in the following table.

[0185] Table 3 Information communication assurance user communication quality requirement table

[0186]

[0187] Actual communication quality The actual number of orders that can be received and reached to each user in phase i is , and In order to reflect the requirement for communication quality in the network quantitative scoring, in this embodiment, when , the user communication quality score coefficient is 1; when , the user communication quality score coefficient is ;

[0188] c. Network communication basic score calculation

[0189] The network communication basic score S i is calculated as follows:

[0190] ​.

[0191] 2) Key instruction transmission score

[0192] The key instruction transmission score refers to that in information communication support, the information communication support effect is also reflected in the issuance of key instructions between users. If the issuance is successful, it means that the information communication force support is successful, and the corresponding instruction score can be obtained. If the issuance fails, it will lead to the failure of instruction transmission, which will affect the user combat, so the corresponding score will be deducted. Figure 4 The calculation process of the key instruction transmission score is shown. The specific process is as follows:

[0193] a. Establish a key instruction library

[0194] According to the combat scenario, a key instruction library is constructed, such as instructions for maneuvering, situation reconnaissance, and requesting support. According to the influence of instruction n on the robustness of the communication link node and the influence of the pair, the instruction influence degree is calculated . The network node robustness before the issuance of instruction n is , the node robustness after the successful issuance is , and the instruction influence degree is The calculation method is as follows:

[0195] .

[0196] According to the actual situation of communication between users, the corresponding instruction library is established in stages and by business. The score calculation rules of the instruction library are as follows:

[0197] ;

[0198] ;

[0199] Z i S Z i ’ represents the failure score of the key instruction in the combat stage i; S i发射用户 and S i接收用户 represent the highest support score of the transmitting user and the receiving user in the combat stage i, respectively, and Ceil represents the rounding up.

[0200] b. Extract instructions

[0201] The issuing of the orders is made by the commander of the troops according to the combat situation of the troops. The current information communication chess is a chess for information communication professionals and is not integrated into the synthetic combat chess. Therefore, the information communication chess does not have the orders of the synthetic troops and can only simulate the transmission of the orders to verify the effect of the combat support of the information communication. As shown in the flow chart, a certain number N of orders are randomly extracted from the corresponding database in the preliminary planning stage of the deduction preparation, and the time t of issuing each order is randomly determined by "rolling the dice" within a reasonable time period. The extracted orders are sorted according to the time sequence of the issued orders.

[0202] c. Deduction calculation score

[0203] As shown in the flow chart, in the implementation of each stage of the information communication chess deduction, it is determined whether the orders can be issued according to the time of the extracted orders. If the determination is successful, the score is added. If the determination fails, the score is deducted. Finally, the sum of all scores is obtained to obtain the total score Sz of the key orders of the red side in this stage.

[0204] The above content is part of the dynamic score in the embodiment. In the embodiment, the network connection basic score and the key order transmission score are summed up to be used as the dynamic score. In other embodiments, one of them can be selected as the way of the dynamic score.

[0205] According to the above disclosed static score and dynamic score, the stage comprehensive score and the sum of the stage comprehensive scores are calculated to obtain the comprehensive score S of this deduction, which is the content of the quantitative evaluation of the information communication chess in the embodiment.

[0206] As another embodiment of the present application, the stage score and the comprehensive score are improved on the basis of the previous embodiment. In the stage score, the entire deduction process is divided into multiple evaluation stages based on the synthetic action, and the weight of each stage is initialized. The comprehensive score of each step in the stage is accumulated to obtain the comprehensive score in the combat stage. In the comprehensive score, the weight of each combat stage is adjusted and optimized according to the intensity of the confrontation between the red and blue sides in each combat stage. The comprehensive scores of the combat stages are weighted and accumulated to obtain the comprehensive score S of this deduction, and the red side is +S and the blue side is -S.

[0207] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.

[0208] Those skilled in the art will readily understand that the above description is only of the preferred embodiments of the present application and is not intended to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for information communication wargaming quantification evaluation, characterized in that, The method comprises the following steps: dividing the whole deduction process into multiple stages based on synthetic action; each evaluation stage is set as multiple steps according to the war game deduction; scoring the information communication support efficiency in each step; comprehensively scoring all steps in different stages to obtain the comprehensive score in the stage; comprehensively scoring all stages to obtain the comprehensive score of the war game deduction; wherein, the scoring of the information communication support efficiency in each step includes static scoring and dynamic scoring, wherein the static scoring includes network connectivity capability scoring, network invulnerability capability scoring and dynamic networking capability scoring; the dynamic scoring includes network connectivity foundation scoring and key instruction transmission scoring; the network connectivity capability scoring includes one or more of the sum of command link communication capability scoring, command communication network coverage capability scoring and node redundancy capability scoring; the network invulnerability capability scoring includes one or more of the sum of node robustness scoring, edge robustness scoring, node vulnerability scoring and edge vulnerability scoring; the dynamic networking capability scoring includes one or more of the sum of network coverage capability scoring, mobile deployment capability scoring and chain building capability scoring; the network connectivity foundation scoring is to score the communication maintenance of the required support users by the information communication support; the key instruction transmission scoring is to score the support effect of the key instruction in the information communication support; the network connectivity foundation scoring is to calculate the user communication quality score coefficient and the corresponding highest support score of each user in the combat stage i, and then to multiply all user communication quality score coefficients and the corresponding highest support scores and sum them up; the calculation method of the user communication quality score coefficient includes: calculating the user communication quality requirement by the total number of important combat instructions issued and reached to each user in the test environment; calculating the actual communication quality by the total number of important combat instructions issued and reached to each user in the actual environment; when the actual communication quality is greater than or equal to the communication quality requirement, the user communication quality score coefficient is 1; when the actual communication quality is less than the communication quality requirement, the user communication quality score coefficient is expressed as the ratio of the actual communication quality to the communication quality requirement; the calculation method of the highest support score includes: multiplying the ratio of the average communication traffic in the test environment to the maximum communication traffic in all combat stages by 5 and rounding up.

2. The information communication war game quantitative evaluation method according to claim 1, wherein: the command link communication capability scoring is the sum of one or more parameters of network capacity, maximum number of serviceable users and node comprehensive bandwidth; wherein, the network capacity is the sum of the capacity of each effective transmission link channel; the maximum number of serviceable users is the number of the maximum users that can be accessed by the communication unit; and the node comprehensive bandwidth is the average value of the maximum bandwidth of each backbone microwave network communication link.

3. The information communication war game quantitative evaluation method according to claim 1, wherein: The command communication network coverage capability score is the sum of the ultra-short wave node coverage capability, the microwave node coverage capability, and the radio access node coverage capability. The ultra-short wave node coverage capability is the percentage of the ultra-short wave radio coverage area to the total area, the microwave node coverage capability is the percentage of the microwave radio coverage area to the total area, and the radio access node coverage capability is the percentage of the radio coverage area to the total area.

4. The information communication wargaming quantitative evaluation method of claim 1, wherein: The node redundancy capability score is obtained by multiplying the ratio of the number of the specific type of remaining equipment to the total amount of communication equipment by the performance parameter of the equipment of this type to obtain the remaining equipment performance of this type of equipment, and then accumulating the remaining equipment performance of all equipment.

5. The information communication wargaming quantitative evaluation method of claim 1, wherein: The network coverage capability score is the sum of the network coverage area index and the networking means type index, wherein the network coverage area index is the ratio of the maximum area that the information communication network can keep open to a preset area, and the networking means type index is the ratio of the number of information communication means used by the network in networking to a preset number.

6. The information communication wargaming quantitative evaluation method of claim 1, wherein: The mobile deployment capability score is the sum of the mobile time, the survey time, and the deployment time, wherein the mobile time is the time required for organizing troops to move to a designated region to build a basic communication network, the survey time is the time required for each combat unit to move to a designated location to perform a local survey task and adjust the opening region, and the deployment time is the time required for each combat unit to actually erect and deploy equipment.

7. The information communication wargaming quantitative evaluation method of claim 1, wherein: The chain building capability score is the ratio of the chain building success rate to the average chain building time, wherein the average chain building time is the average time for the information communication network to quickly establish a voice link when performing voice transmission between a source node and a destination node after N tests, and the chain building success rate is the proportion of the information communication network that can obtain link establishment request information and successfully establish a link when performing voice transmission between a source node and a destination node.

8. The information communication wargaming quantitative evaluation method of claim 1, wherein: The key instruction transmission score is calculated as follows: A key instruction library is constructed, the instruction influence degree is calculated according to the influence of the instruction on the robustness of the communication link node, and the score of the corresponding instruction is calculated; In all combat stages, N instructions are extracted, and the time t of each instruction is determined; It is judged whether the instruction can be issued according to the combat stage and the time of the extracted instruction to score or score minus; The score is represented as: ； ； Z i represents the success score of the key instruction in the battle phase i, Z i ' represents the failure score of the key instruction in the battle phase i; S i发射用户 and S i接收用户 respectively represent the guaranteed highest score of the transmitting user and the receiving user in the combat stage i, and Ceil represents the ceiling function. Instruction impact degree is represented as: ； wherein , are the node robustness before and after the instruction n is issued, respectively.

9. The information communication wargaming quantitative evaluation method of claim 1, wherein: When calculating the comprehensive score in the calculation stage, different weights are set for different time lengths, and the comprehensive score in the calculation stage is obtained by weighted accumulation. The comprehensive score of this time's war game is calculated, and the comprehensive score in the stage is obtained by weighting and accumulating after setting different weights for different stages.

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