Quantitative evaluation method for information communication war chess

Abstract

The invention discloses an information communication war chess quantitative evaluation method, which comprises the following steps of: segmenting the whole deduction process into a plurality of stages by taking a synthetic action as a benchmark; each evaluation stage is set into a plurality of step lengths according to war game deduction; scoring the information communication guarantee efficiency in each step length time; the comprehensive scores of all the step lengths in different stages are accumulated, and the comprehensive score in the stage is obtained; and according to the comprehensive score of each stage, calculating to obtain the comprehensive score of the war game deduction. According to the method, an information communication war chess system is constructed, a combat system contribution rate evaluation method is introduced to comprehensively evaluate the whole information communication guarantee system, the contribution rate of a single node and a single action in the information communication guarantee system is measured, and an accurate score in each deduction step length of the information communication war chess is obtained; and an information communication war chess accurate quantification judgment deduction mode is constructed.

Description

Technical Field

[0001] The present invention relates to the technical field of information communication network evaluation, and more specifically, to a quantitative evaluation method for information communication war games. Background Art

[0002] As the reliance of combatants and weapons and equipment on information increases significantly, the leading and controlling role of information flow in combat is becoming increasingly obvious. Controlling information has become the focus of contention between hostile parties, and information system equipment has become the preferred target of attack for both sides. The combat command and confrontation of information and communication forces has also moved from the "backstage" to the "frontstage", and disrupting the orderly flow of information flow has become a key means for hostile parties to win the confrontation.

[0003] War games refer to tools that use chessboards and chess pieces that represent battlefield environments and military forces, based on rules abstracted from wars and training experiments, using the principle of probability, and adopting a turn-based system to simulate the decision-making confrontation between two or more combat parties. As an effective tool for simulating real combat, war games have been highly valued by major military powers in the world and have been widely used in combat theory, combat plan evaluation, and combat decision-making. The war process simulated by scientific war games is often highly consistent with the real war, which can assist military commanders to simulate wars in advance, check for omissions, and optimize combat plans, thereby seizing the initiative in war. War game evaluation, or adjudication management, is the calculation and evaluation of the results of combat operations. It usually requires the formulation of a detailed evaluation system, and the correction of action result data according to the battlefield situation, or the use of effectiveness evaluation mathematical models to calculate the action result data, so as to clarify the conclusions of war game confrontation deductions.

[0004] At present, the war game simulation system does not have the simulation function for the information and communication support arms actions in the joint combat simulation and tactics research under the background of strong enemy threats. The simulation of command information flow and intelligence information flow is missing, and it cannot fully meet the simulation and simulation of modern information warfare. The core position of information and communication elements in the war game system is not obvious, and the simulation and simulation of war games cannot fully meet the needs of modern information warfare. Therefore, it is urgent to integrate information and communication war games into the existing synthetic war game confrontation simulation system to provide information and communication support action simulation support. For information and communication troops, the effect of their combat operations is reflected in the guarantee of information and communication of synthetic combat forces, and they also urgently need information and communication war game simulation systems to provide support for their formulation of policies, strategies, plans, and concepts. Therefore, it is an urgent problem to be solved by existing technologies to propose a computer war game evaluation and judgment method in the field of information and communication. Summary of the invention

[0005] In response to at least one defect or improvement need in the prior art, the present invention provides a quantitative evaluation method for information and communication war games. By constructing an information and communication war game system and introducing a combat system contribution rate evaluation method, a comprehensive evaluation of the entire information and communication support system is conducted to measure the contribution rate of a single node or a single action in the information and communication support system, and an accurate score is obtained in each deduction step of the information and communication war game, thereby constructing an accurate quantitative decision-making deduction model for the information and communication war game.

[0006] In order to achieve the above object, the embodiments of the present invention provide the following technical solutions: A quantitative evaluation method for information communication war games, comprising: Based on synthetic actions, the entire simulation process is divided into multiple stages; each evaluation stage is set to multiple steps according to the war game simulation; Score the information and communication support efficiency within each step time; The comprehensive scores of all step lengths in different stages are accumulated to obtain the comprehensive score in that stage; According to the comprehensive scores of each stage, the comprehensive score of this war game simulation is calculated cumulatively; The scoring of the information communication assurance performance within each step time includes a static score and / or a dynamic score, wherein the static score includes the sum of one or more of the network connectivity score, the network invulnerability score and the dynamic networking capability score; the dynamic score includes the network connectivity basic score and / or the key instruction transmission score; The network connectivity capability score includes the sum of one or more of the command link connectivity capability score, the command communication network coverage capability score, and the node redundancy capability score; The network invulnerability score includes the sum of one or more of a node robustness score, an edge robustness score, a node vulnerability score, and an edge vulnerability score; The dynamic networking capability score includes the sum of one or more of the network coverage capability score, the mobile deployment capability score and the link establishment capability score; The network connectivity basic score is a score based on the information communication guarantee for the communication maintenance of the required users; the key instruction transmission score is a score for the guarantee effect of key instructions in the information communication guarantee.

[0007] As a preferred solution of the present invention, the command link connectivity score 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 capacities of each effective transmission link channel; the maximum number of serviceable users is the maximum number of users that a communication unit can access; and the node comprehensive bandwidth is the average value of the maximum bandwidth of information that can be transmitted by each backbone microwave network communication link.

[0008] As a preferred solution of the present invention, 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; wherein, The ultra-short wave node coverage capability is the percentage of the ultra-short wave radio station coverage area to the total area, the microwave node coverage capability is the percentage of the microwave radio station coverage area to the total area, and the radio access node coverage capability is the percentage of the radio station coverage area to the total area.

[0009] As a preferred solution of the present invention, the node redundancy capability score is obtained by multiplying the ratio of the number of remaining equipment of a specific type to the total amount of communication equipment by the performance parameter of this type of equipment to obtain the remaining equipment performance of this type of equipment; and accumulating the remaining equipment performance of all equipment to obtain the node redundancy capability score.

[0010] As a preferred solution of the present invention, 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 in which the information communication network can remain unobstructed to a preset area; and the networking means type index is the ratio of the number of information communication means used by the network when networking to a preset number.

[0011] As a preferred solution of the present invention, the mobile deployment capability score is the sum of the maneuvering time, reconnaissance time and deployment time; wherein the maneuvering time is the time required to organize the troops to maneuver to a designated area to build a basic communication network, the reconnaissance time is the time required for each combat unit to maneuver to a designated location to perform on-site reconnaissance tasks and adjust the opening area, and the deployment time is the time required for each combat unit to actually set up and deploy equipment.

[0012] As a preferred solution of the present invention, 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 that the information communication network can quickly establish a voice link after N tests when performing voice transmission between the source node and the destination node, and the link establishment 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 the source node and the destination node.

[0013] As a preferred solution of the present invention, the network connection basic score is to calculate the user connection quality score coefficient and the corresponding maximum guarantee score of each user in the combat stage i, and then sum the products of all user connection quality score coefficients and the corresponding maximum guarantee scores; The method for calculating the user communication quality score coefficient includes: calculating the user communication quality requirement based on the total number of important combat orders issued and issued to each user in a test environment; calculating the actual communication quality based on the total number of important combat orders issued and issued to each user in an 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 a ratio of the actual communication quality to the communication quality requirement; The calculation method of the maximum guarantee score includes: taking the ratio of the average communication traffic volume under the test environment to the maximum value of the communication traffic volume in all combat phases, multiplying by 5 and rounding up.

[0014] As a preferred solution of the present invention, the key instruction transmission score is calculated in the following manner: Build a key instruction library, calculate the impact of instructions based on their impact on the robustness of communication link nodes, and calculate the scores of corresponding instructions; In all combat phases, N instructions are extracted and the time t at which each instruction is issued is determined; According to the combat stage and the time when the command is drawn, it is judged whether the command can be issued, so as to add or subtract points; Wherein, the score is expressed as: ;

[0015] ;

[0016] Z i It represents the success score of this key instruction in combat phase i, Z i ' represents the failure score of the key instruction in combat phase i; S i发射用户 and S i接收用户 They represent the highest security scores of the transmitting user and the receiving user in combat phase i, respectively, and Ceil represents rounding up; Instruction Impact It is expressed as:

[0017] ;

[0018] in , They are the node robustness before and after instruction n is issued.

[0019] As a preferred solution of the present invention, when calculating the comprehensive score in a stage, it also includes setting different weights for different step lengths, and weighted accumulation to obtain the comprehensive score in the stage; When calculating the comprehensive score of this war game simulation, it also includes setting different weights for different stages and then accumulating the weighted scores for that stage.

[0020] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art: (1) The quantitative evaluation method of information and communication war games provided by the present invention combines the operator description view and behavior action classification of information and communication war games, and describes the content description and indicator requirements of each action, thus constructing an accurate operator behavior evaluation system; (2) The quantitative evaluation method of information and communication war games provided by the present invention analyzes the system contribution rate of the operator behavior of information and communication war games to the overall support effectiveness, and constructs a quantitative evaluation method of information and communication war games based on the precise system contribution rate; (3) The quantitative evaluation method for information and communication war games provided by the present invention uses a quantitative decision algorithm to accurately determine the decision rules for information and communication war games, construct an information and communication war game system contribution rate evaluation model, and solve the problem of scoring the victory or defeat of information and communication war games. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 A flowchart of a quantitative evaluation method for information communication war games provided by an embodiment of the present invention; Figure 2 A schematic diagram of a deduction step length scoring process provided by an embodiment of the present invention; Figure 3 A schematic diagram of a wireless communication connection provided by an embodiment of the present invention; Figure 4 A schematic diagram of the calculation flow of the key instruction transmission score provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0024] The terms "first", "second", "third", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0025] like Figure 1 As shown, as the first embodiment of the present invention, a quantitative evaluation method for information communication war games is provided. The key links are as follows: 1) Derivation step length scoring Combined with the war game simulation step setting, the information and communication guarantee efficiency within each step is scored according to the war game simulation process and network adjustment principles. In this embodiment, the scoring of information and communication guarantee efficiency can include solution evaluation (i.e. static scoring) and simulation evaluation (i.e. dynamic scoring). Those skilled in the art can also understand that the technical effect of information and communication guarantee efficiency scoring can also be achieved by only using solution evaluation or simulation evaluation. The specific information and communication guarantee efficiency scoring calculation method is as follows: a. Extract the information and communication support situation at the end of the current step length n (the current situation after the influence of the actions of both sides), as well as the main combat actions R of both sides on and B on ; b. Construct a scheme evaluation model to score the current information and communication security situation and obtain a score S n1 ; c. Construct a deduction evaluation model to score the communication status of the protected users under the influence of the actions of both parties to obtain a score S n2 ; d. Accumulate and obtain the comprehensive score Sn of step length n.

[0026] 2) Stage scoring a. Based on synthetic actions, the entire simulation process is divided into multiple evaluation stages, and the weight of each stage is initialized. This stage can be flexibly adjusted, from a small command action stage to a large campaign operation stage.

[0027] b. Accumulate the comprehensive scores of all stride lengths in this phase to obtain the comprehensive score for this combat phase.

[0028] 3) Comprehensive rating The comprehensive scores of each combat phase are accumulated to obtain the comprehensive score S of this simulation, where the red side is +S and the blue side is -S.

[0029] Figure 2 The specific steps of step 1) in this embodiment are shown, which mainly include static scoring and dynamic scoring. For the static scoring in step 1), a static evaluation method based on the evaluation index model and network organization rules is adopted to preliminarily select the scheme, focusing on the static evaluation of the network connectivity, network anti-destruction capability, dynamic networking capability and other aspects of each networking scheme. The 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 calculation.

[0030] For the dynamic scoring in step 1), the battlefield situation and network status of each segment are evaluated in dynamic near real-time. Under different combat seasons, different levels of confrontation, and different network equipment damage, the network connectivity relationship, communication quality requirements, communication business and other operating indicators of the support object are comprehensively calculated and analyzed. The impact of the Red Army commander's adjustment actions on the network information and communication support effectiveness is analyzed to draw a comprehensive evaluation conclusion.

[0031] Specifically, the static scores include network connectivity score, network invulnerability score and dynamic networking score. The following is the specific calculation method of each static score.

[0032] 1) Network connectivity score The network connectivity capability score includes the sum of one or more 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.

[0033] a. Command link communication capability score Connectivity is a basic indicator for evaluating the Internet. It is a "veto" indicator. If the network cannot be connected as a whole, it is meaningless to use secondary indicators such as local transmission bandwidth, rate, and capacity to measure the Internet's connectivity. The following uses the adjacency matrix determination algorithm to determine whether the Internet can be connected. The algorithm is described as follows: Problem description: Determine whether the m network nodes (excluding user nodes, and not counting when the nodes are knocked down) established on the plane are connected in a network, that is, determine whether the m nodes are in a network. For code implementation, you can refer to the BFS method for determining connectivity of undirected graphs on the Internet. BFS method: Start from a node, visit all nodes associated with it, queue these nodes, and repeat this process until the node queue is empty. If the connected component does not contain all nodes, connectivity is not satisfied, otherwise connectivity is satisfied. If connectivity is not satisfied, the connectivity capacity is 0. Under the condition of satisfying connectivity, the connectivity capacity of different network planning schemes can be evaluated. It can be measured from the following three indicators, and finally scored based on these three indicators alone or in combination.

[0034] ①Network capacity A 111 (Unit of measurement: M) Network capacity refers to the sum of the capacities of each effective transmission link channel in the information communication network system.

[0035]

[0036] Among them: A 111 represents the network capacity, represents the standard channel bandwidth of the i-th link. Represents the noise coefficient of the i-th link and the electromagnetic environment interference coefficient Proportional to the distance S i Proportional to, but cannot be greater than 1.

[0037]

[0038] The specific calculation steps of this formula are as follows: Step 1: Call all link information and count the total number of links to n; set up a loop to read from the first link to the last link; Step 2: Read the two points connected by the i-th link and calculate the distance S between the two points based on their coordinates. i ; Step 3: Call the electromagnetic environment interference coefficient of all points on the link line in the map environment ;

[0039] Step 4: Call the smallest communication bandwidth B of the two device parameters used by the connection link i , the minimum standard communication distance S b ; Step 5: Calculate according to the formula ;

[0040] Step 6: Calculate to the last link, exit the loop, and finally calculate the network capacity A according to the formula 111 .

[0041] ② Maximum number of users that can be served A 112 (Unit of measurement: M) Maximum number of users that can be served A 112 It refers to the maximum number of users that can be accessed by a communication unit within an information communication network.

[0042] A 112 =sum{N1,N2,N3……N m}-m Among them: A 112 Represents the maximum number of serviceable users, where N is the number of users that can be accessed by each network node and m is the number of communication nodes.

[0043] The specific calculation steps of this formula are as follows: Step 1: Call all communication nodes and count the number of communication nodes to be m; Step 2: Read all communication devices on each communication node, call the number of users that can be accessed by these devices, and sum them up to get the number of users Ni that can be accessed by the communication node.

[0044] Step 3: Calculate and sum according to the formula to get A 112 .

[0045] ③ Node comprehensive bandwidth A113 (unit: M) The node comprehensive bandwidth refers to the average value of the maximum bandwidth that each backbone microwave network communication link can transmit information.

[0046]

[0047]

[0048] Among them: A 113 represents the node comprehensive bandwidth, represents the standard channel bandwidth of the i-th link. Represents the noise coefficient of the i-th link and the electromagnetic environment interference coefficient Proportional to the distance S i Proportional to, but cannot be greater than 1.

[0049] The specific calculation steps of this formula are as follows: Step 1: Call all link information of the backbone microwave network and count the total number of links to be n; set a loop to read from the first link to the last link.

[0050] Step 2: Read the two points connected by the i-th link and calculate the distance Si between the two points based on their coordinates; Step 3: Call the electromagnetic environment interference coefficient of all points on the link line in the map environment ;

[0051] Step 4: Call the smallest communication bandwidth B of the two device parameters used by the connection link i , the minimum standard communication distance S b ; Step 5: Calculate according to the formula ;

[0052] Step 6: Calculate to the last link, exit the loop, and finally calculate the network capacity A according to the formula 113 .

[0053] b. Command and communication network coverage capability rating In communication network security, there are two ways of connection: wired and wireless. Wired connection generally refers to connection through optical fiber or multiplexed wires, which does not have a coverage area; wireless connection generally refers to communication through microwave, shortwave or ultra-short wave, and the wireless connection method usually takes the node as the center and the communication distance as the radius, which can cover a certain area. Figure 3 A wireless communication connection diagram is shown, in which we can see that microwaves are used to establish Class A networks, ultra-short waves are used to establish Class B networks, etc. The coverage capacity of the communication network refers to the range of communication that these nodes can cover for users. Since different types of nodes have different communication methods and communication efficiencies, the coverage capacity of the network needs to be calculated by category.

[0054] Figure 3 The smallest circle shows the coverage area of ​​the ultra-short wave radio station. The ultra-short wave node coverage capacity is the percentage of the ultra-short wave radio station coverage area to the total area, which is expressed as:

[0055] Among them: A 12-超短 Represents the coverage of the network. r Represents the number of grids covered by the ultra-short wave area on the map, and M represents the total number of grids in the battlefield target area.

[0056] The specific calculation steps of this formula are as follows: Step 1: Assume that before building the communication node, all grids on the map cannot access the communication network, so set a state parameter of whether it can access the communication network and initialize it to 0; Step 2: When the ultra-short wave communication network node is constructed, the grids that the node can cover on the system map are calculated according to the communication equipment used by the ultra-short wave communication node, and the state parameter of whether the covered grid can access the communication network is marked as 1. If the grid is marked repeatedly, it is still counted as 1.

[0057] Step 3: Read the state parameters of whether all grids (M) in the target area can access the communication network, and calculate the number of grids marked with 1 as M. r , calculate A according to the formula 12-超短 .

[0058] Similar to the ultra-short wave node coverage capability, the microwave node coverage capability is the percentage of the microwave radio station coverage area to the total area, and the radio access node coverage capability is the percentage of the radio station coverage area to the total area, which can be calculated using the same method as above.

[0059] c. Node redundancy rating Commanders use various communication equipment according to combat scenarios. However, considering the damage of equipment, some equipment is usually kept idle for backup. The node redundancy capacity is the total efficiency of various types of equipment left as backup, which can be expressed as the following formula:

[0060] in is the residual equipment effectiveness of Class A communication equipment, a g is the performance parameter of Class A communication equipment, M gs is the number of remaining Class A communication equipment, M gz is the total amount of Class A communications equipment; is the residual equipment efficiency of Class B communication equipment, a w is the performance parameter of Class B communication equipment, M ws is the number of remaining Class B communication equipment, M wz It is the total amount of Class B communication equipment. Similarly, the ratio of the number of remaining equipment of a specific type to the total amount of communication equipment is multiplied by the performance parameter of this type of equipment to obtain the remaining equipment effectiveness of this type of equipment. The remaining equipment effectiveness of all equipment is accumulated to obtain the node redundancy capability score.

[0061] The specific calculation steps of this formula are as follows: Step 1: Calculate the total number of various types of communication equipment in the hypothetical configuration. For example, there are a total of Class A communication equipment M in the hypothetical configuration. gz Class B communication equipment M wz indivual; Step 2: Calculate the number of remaining communication equipment of each type during the simulation. For example, at a certain moment in the simulation, the number of remaining Class A communication equipment M gs Class B communication equipment M ws indivual; Step 3: Substitute the performance parameters of each equipment and calculate the node redundancy capability score according to the formula.

[0062] 2) Network Survivability Rating Network invulnerability is the ability of a network to resist internal failures 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, robustness and vulnerability are characterized from the perspectives of nodes and edges to measure network invulnerability.

[0063] Specifically, the network anti-destruction capability score includes: node robustness, edge robustness, node vulnerability, and edge vulnerability.

[0064] The calculation method of node robustness is as follows: .

[0065] It represents the relative size of the largest connected network after Q nodes are destroyed; N represents the number of nodes in the network; Q represents the number of destroyed nodes; Indicates the maximum total number of connected nodes in the network after Q nodes are destroyed.

[0066] The node robustness R is expressed as: R= .

[0067] The edge robustness is calculated as follows: The path length is the number of edges connecting any two nodes i and j, where the path with the least number of edges connecting nodes i and j is the shortest path length. The average path length L in the network is defined as the average value of the shortest path length between any two nodes, and its expression is: .

[0068] in is the shortest path length connecting nodes i and j, and N is the total number of nodes in the network.

[0069] Edge Robustness It is the ratio of the number of damaged edges to the total number of edges when the network reaches the maximum average path length. Its expression is .

[0070] The calculation method of node vulnerability is as follows: The global efficiency E of network nodes is the mean efficiency of all nodes. is the shortest path length connecting nodes i and j, and N is the total number of nodes in the network:

[0071] .

[0072] The vulnerability JC of a network node is calculated as the maximum ratio of the global efficiency of the network after the damaged network node n is damaged to the global efficiency of the original network: .

[0073] is the global efficiency after removing the damaged node n and all its links.

[0074] The calculation method of edge vulnerability is as follows: Global efficiency of network edges E is the mean efficiency of all edges, is the shortest path length connecting nodes i and j, and N is the total number of edges in the network:

[0075] .

[0076] The vulnerability LC of the network edge is calculated as: n The maximum ratio of the global efficiency of the network after the calculation to the global efficiency of the original network.

[0077] .

[0078] To remove the edge n and the global efficiency after all its links.

[0079] 3) Dynamic networking capability scoring Dynamic networking capability describes the network's ability to dynamically adapt and adjust on demand, and to a certain extent reflects the dynamic support of the network structure for demand.

[0080] a. Network coverage capability C11 Network coverage capability refers to the ability of the information and communication network to use different communication means to ensure the interconnection of command posts or combat units within the combat area. Therefore, network coverage capability can be decomposed into two subordinate indicators: network coverage area and the number of types of business means.

[0081] Network coverage area C111 (unit: square kilometers) Network coverage area refers to the maximum area over which the information and communication network can maintain smooth communications in the combat area.

[0082] Networking means type coefficient C112 (unit of measurement: type) The networking means type coefficient is defined as the number of types of communication means such as wired (optical fiber, 2M long-distance transmission, covered cable) and wireless (shortwave, ultra-shortwave, microwave, scattering, satellite) that can be used in the information communication network when networking and whether they can be included in the basic network system and operated.

[0083] In this embodiment, the indexes corresponding to the above two indicators are calculated to jointly constitute the network coverage capability score. That is, 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 where the information communication network can remain unobstructed to the preset area; the networking means type index is the ratio of the number of information communication means used by the network when networking to the preset number.

[0084] b. Mobile deployment capability C12 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 and communication network system. It can be broken down into three sub-indicators: mobile time, survey time, and deployment time.

[0085] Maneuvering time C121 (measured in seconds) Maneuver time refers to the time required to organize troops to maneuver to a designated area to build a basic communication network after the information and communication network planning scheme is formed. Survey time C122 (measured in seconds) Survey time refers to the time required for each combat unit in the information and communication network system to maneuver to the designated location to perform on-site survey tasks and adjust the opening area.

[0086] Expand time C123 (measured in seconds) Deployment time refers to the time required for each combat unit to actually set up the deployment equipment after the maneuver and reconnaissance are completed.

[0087] In this embodiment, the indexes corresponding to the above three indicators are calculated to jointly constitute the mobile deployment capability score. That is, the mobile deployment capability score is the sum of the maneuvering time, the survey time and the deployment time; among which, the maneuvering time is the time required to organize the troops to maneuver to the designated area to build the basic communication network, the survey time is the time required for each combat unit to maneuver to the designated location to perform the on-site survey task and adjust the opening area, and the deployment time is the time required for each combat unit to actually set up the deployment equipment.

[0088] c. Chain building capability C13 Link building capability refers to the ability of each communication unit in the information communication network to establish a communication link. It can be decomposed into two subordinate indicators: average link building time and link building success rate.

[0089] Average link establishment time C131 (measured in seconds) The average link establishment time refers to the average time it takes for an information communication network to quickly establish a voice link when performing voice transmission between a source node and a destination node after N tests.

[0090] Link establishment success rate C132 (unit: %) The link establishment success rate refers to the proportion of information communication networks that can obtain link establishment request information and successfully establish a link when transmitting voice between the source node and the destination node.

[0091] In this embodiment, the indexes corresponding to the above two indicators are calculated to form a link building capability score. That is, the link building capability score is the link building success rate divided by the average link building time; wherein the average link building time is the average time that the information communication network can quickly establish a voice link after N tests when performing voice transmission between the source node and the destination node, and the link 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 the source node and the destination node.

[0092] The above content is part of the static scoring in this embodiment. In this embodiment, the network connectivity score, network invulnerability score and dynamic networking capability score are summed up and used as the static scoring. In other embodiments, one or two parameters of the above scores can also be selected as a static scoring method.

[0093] In this embodiment, the dynamic scoring of the deduction step length is also included. For the dynamic scoring of the deduction step length, it is assumed that the users who need to be protected are A1, A2, A3, ..., An. In order to ensure the communication of users in the information and communication war game system, according to the combat requirements, the corresponding communication hubs B1, B2, B3, ..., Bm are constructed using information and communication equipment, and corresponding links are established to form a corresponding information and communication guarantee network. In order to achieve the scoring purpose, firstly, according to the information and communication guarantee network, according to the business classification, a corresponding detailed communication record table is established, which becomes a detailed communication record table for a certain business. In this table, all communication means and communication quality between every two users for such business need to be recorded. For voice business, a detailed communication record table for voice business is established, which is called a detailed communication record table for voice business. For example, according to the information security network, there are three means of voice service between user A1 and user A2: first, wireless direct connection with a communication quality of 2; second, satellite direct connection with a communication quality of 1; third, microwave connection to communication hub B1, and then transfer to user A2 via microwave, with a communication quality of 5; fourth, microwave connection to communication hub B2, and then microwave connection to communication hub B3, and finally transfer to user A2 via microwave, with a communication quality of 5.

[0094] The dynamic scoring of the information and communication war game network includes the basic scoring of network connectivity and the scoring of key command transmission.

[0095] 1) Basic network connectivity score The effectiveness of information and communication support is reflected in the user's business communication. Establishing a suitable communication network to ensure the military operations of each user is the primary task of the information and communication support force. The basic network connection score is to score the communication maintenance of the required users based on information and communication support.

[0096] a. Develop a user node score table The information communication security users include user group A, user group B, user group C, and many other users. In this embodiment, the test conditions are set to ten experiments, each for two hours, and the average communication traffic volume of the ten experiments in the i phase and different groups is ,calculate , which is the ratio of the average communication traffic volume in the test environment in combat phase i to the maximum communication traffic volume in all combat phases, multiplied by 5 and rounded up. In one case, the highest security scores for combat phases A and B can be obtained as shown in the following table.

[0097] Table 1 Data service user scores in Phase A of Operation

[0098] Table 2 Score of voice service users in Operation B phase

[0099] b. Communication quality score coefficient table Communication quality requirements Based on ten experiments, the average total number of important combat orders issued and delivered to each user within two hours each time is , Information Assurance User Communication Quality Requirements Expressed as In one case, the communication quality requirement table can be obtained as shown in the following table.

[0100] Table 3 Information Assurance User Communication Quality Requirements

[0101] Actual communication quality The number of instructions that can actually be received and issued to each user through stage i To calculate, In order to reflect the requirements for communication quality in the network quantitative scoring, in this embodiment, When the user's communication quality score coefficient is 1; When the user's communication quality score coefficient Expressed as ;

[0102] c. Calculation of basic network connectivity score Network Unicom Basic Points S i The calculation is as follows: .

[0103] 2) Key instruction transmission score The key command transmission score refers to the issuance of key commands between users in information and communication support. If the issuance is successful, it means that the information and communication force support is successful, and the corresponding command points can be obtained; if the issuance fails, the command cannot be uploaded and issued, affecting the user's combat, so the corresponding points will be deducted. Figure 4 The calculation process of the key instruction transmission score is shown. The specific process is as follows: a. Establish a key instruction library According to the combat assumptions, a key instruction library is constructed, such as maneuver, situation reconnaissance, and request for support. The impact of the instruction n on the robustness of the communication link node and the impact on the communication link node are calculated. The robustness of the network nodes before instruction n is issued is , the node robustness after successful issuance is , the degree of influence of the instruction The calculation method is:

[0104] .

[0105] According to the actual communication situation between users, the corresponding instruction library is established in stages and services. The score calculation rules of the instruction library are as follows: ;

[0106] ;

[0107] Z i It represents the success score of this key instruction in combat phase i, Z i ' represents the failure score of the key instruction in combat phase i; S i发射用户 and S i接收用户 They represent the maximum security scores of the transmitting user and the receiving user in combat phase i respectively, and Ceil represents rounding up.

[0108] b. Extract instructions The issuance of instructions is issued by the troop commander according to the troop's combat situation. The current information and communication war game, as an information and communication professional war game, has not been integrated into the synthetic combat war game, and does not have the instructions of the synthetic forces. It can only simulate the transmission of instructions to test the effectiveness of information and communication combat support. As shown in the flow chart, the project initially plans to randomly extract a certain number N of instructions from the corresponding database in the deduction preparation stage, and "roll the dice" to randomly determine the time t of each instruction within a reasonable time period, and sort the extracted instructions according to the time sequence of issuing the instructions.

[0109] c. Deduction and calculation of scores As shown in the flow chart, at each stage of the implementation of the information and communication war game simulation, the time of the extracted instructions is used to determine whether the instructions can be issued. Points are added if successful, and points are deducted if failed. Finally, the sum of all scores is the total score Sz obtained by the red side for the key instructions in this stage.

[0110] The above content is part of the dynamic scoring in this embodiment. In this embodiment, the network connection basic score and the key instruction transmission score are selected and summed as the dynamic score. In other embodiments, one of them can be selected as the dynamic scoring method.

[0111] According to the above-disclosed static scoring and dynamic scoring parts, the comprehensive scoring of each stage and the accumulation of the comprehensive scores of each stage are performed to obtain the comprehensive score S of this deduction, which is the content of the quantitative evaluation of the information and communication war game described in this embodiment.

[0112] As another embodiment of the present invention, on the basis of the previous embodiment, the stage scoring and comprehensive scoring are improved. Among them, in the stage scoring, 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 scores of all steps in the stage are accumulated to obtain the comprehensive score in the combat stage. In the comprehensive scoring, 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, and the comprehensive scores of each combat stage are weighted and accumulated to obtain the comprehensive score S of this deduction, where the red side is +S and the blue side is -S.

[0113] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A quantitative evaluation method for information communication war games, characterized in that: include: Based on synthetic actions, the entire deduction process is divided into multiple stages; Each evaluation phase is set to a number of steps in accordance with the war game; Score the information and communication support efficiency within each step time; The comprehensive scores of all step lengths in different stages are accumulated to obtain the comprehensive score in that stage; According to the comprehensive scores of each stage, the comprehensive score of this war game simulation is calculated cumulatively; The scoring of the information communication assurance performance within each step time includes a static score and / or a dynamic score, wherein the static score includes the sum of one or more of the network connectivity score, the network invulnerability score and the dynamic networking capability score; the dynamic score includes the network connectivity basic score and / or the key instruction transmission score; The network connectivity capability score includes the sum of one or more of the command link connectivity capability score, the command communication network coverage capability score, and the node redundancy capability score; The network invulnerability score includes the sum of one or more of a node robustness score, an edge robustness score, a node vulnerability score, and an edge vulnerability score; The dynamic networking capability score includes the sum of one or more of the network coverage capability score, the mobile deployment capability score and the link establishment capability score; The network connectivity basic score is a score based on the information communication guarantee for the communication maintenance of the required users; the key instruction transmission score is a score for the guarantee effect of key instructions in the information communication guarantee.

2. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: The command link communication capability score 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 capacities of each effective transmission link channel; the maximum number of serviceable users is the maximum number of users that a communication unit can access; and the node comprehensive bandwidth is the average value of the maximum bandwidth of information that can be transmitted by each backbone microwave network communication link.

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

4. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: The node redundancy capability score is obtained by multiplying the ratio of the number of remaining equipment of a specific type to the total amount of communication equipment by the performance parameter of the equipment of this type to obtain the remaining equipment performance of the equipment of this type; the node redundancy capability score is obtained by accumulating the remaining equipment performance of all equipment.

5. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: 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 where the information communication network can remain unobstructed to the preset area; the networking means type index is the ratio of the number of information communication means used by the network when networking to the preset number.

6. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: The mobile deployment capability score is the sum of the maneuvering time, reconnaissance time and deployment time; wherein the maneuvering time is the time required to organize the troops to maneuver to the designated area to build a basic communication network, the reconnaissance time is the time required for each combat unit to perform on-site reconnaissance tasks and adjust the opening area after maneuvering to the designated location, and the deployment time is the time required for each combat unit to actually set up and deploy equipment.

7. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: 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 it takes for the information communication network to quickly establish a voice link when 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 that can obtain link establishment request information and successfully establish a link when performing voice transmission between the source node and the destination node.

8. The quantitative evaluation method of information communication war game as claimed in claim 1, characterized in that: The network connection basic score is to calculate the user connection quality score coefficient and the corresponding maximum guarantee score of each user in the combat stage i, and then sum the products of all user connection quality score coefficients and the corresponding maximum guarantee scores; The method for calculating the user communication quality score coefficient includes: calculating the user communication quality requirement based on the total number of important combat orders issued and issued to each user in a test environment; calculating the actual communication quality based on the total number of important combat orders issued and issued to each user in an 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 a ratio of the actual communication quality to the communication quality requirement; The calculation method of the maximum guarantee score includes: taking the ratio of the average communication traffic volume under the test environment to the maximum value of the communication traffic volume in all combat phases, multiplying by 5 and rounding up.

9. The quantitative evaluation method of information communication war game as claimed in claim 8, characterized in that: The key instruction transmission score is calculated as follows: Build a key instruction library, calculate the impact of instructions based on their impact on the robustness of communication link nodes, and calculate the scores of corresponding instructions; In all combat phases, N instructions are extracted and the time t at which each instruction is issued is determined; According to the combat stage and the time when the command is drawn, it is judged whether the command can be issued, so as to add or subtract points; Wherein, the score is expressed as: ； ； Z i It represents the success score of this key instruction in combat phase i, Z i ' represents the failure score of the key instruction in combat phase i; S i发射用户 and S i接收用户 They represent the highest security scores of the transmitting user and the receiving user in combat phase i, respectively, and Ceil represents rounding up; Instruction Impact It is expressed as: ； in , They are the node robustness before and after instruction n is issued.

10. The quantitative evaluation method of information communication war game according to claim 1, characterized in that: When calculating the comprehensive score within a stage, it also includes setting different weights for different step lengths, and then weighted accumulation to obtain the comprehensive score within the stage; When calculating the comprehensive score of this war game simulation, it also includes setting different weights for different stages and then accumulating the weighted scores for that stage.

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