CN112749806A - Battlefield situation assessment method, terminal equipment and storage medium - Google Patents
Battlefield situation assessment method, terminal equipment and storage medium Download PDFInfo
- Publication number
- CN112749806A CN112749806A CN202011637909.XA CN202011637909A CN112749806A CN 112749806 A CN112749806 A CN 112749806A CN 202011637909 A CN202011637909 A CN 202011637909A CN 112749806 A CN112749806 A CN 112749806A
- Authority
- CN
- China
- Prior art keywords
- situation
- battlefield
- enemy
- node
- bayesian network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000001364 causal effect Effects 0.000 claims abstract description 5
- 238000010276 construction Methods 0.000 claims abstract description 4
- 238000004590 computer program Methods 0.000 claims description 17
- 230000009471 action Effects 0.000 claims description 7
- 230000007123 defense Effects 0.000 claims description 2
- 238000011156 evaluation Methods 0.000 description 8
- 230000002776 aggregation Effects 0.000 description 2
- 238000004220 aggregation Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- 238000013500 data storage Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Algebra (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a battlefield situation assessment method, terminal equipment and a storage medium, wherein the method comprises the following steps: s1: collecting battlefield situation and battlefield information; s2: determining node contents of the Bayesian network, causal relationships among the nodes and the probability of each node according to the acquired battlefield situation and battlefield information, and completing construction of the Bayesian network; s3: and when the probability of a certain node in the Bayesian network changes, carrying out situation reasoning according to the Bayesian network, calculating the updated probability of each node, and evaluating the most possible situation of the current network. The invention establishes a view of the time, situation, position, enemy and my forces comparison, forces composition, battlefield strategy and the like of the battle, combines the obtained information with the environment and the battle strategy, finds the evidence and reason of the occurrence of the event through comparison and analysis, and infers and obtains the estimation of the forces structure and the battle characteristics of the enemy.
Description
Technical Field
The invention relates to the field of battlefield situation assessment, in particular to a battlefield situation assessment method, terminal equipment and a storage medium.
Background
The modern war is generally to make a decision according to massive data obtained from the environment under high uncertainty and time pressure, the data may contain deceptive information of enemies and collected wrong information, and how to make an accurate and quick decision from massive information containing impurities is a necessary requirement of the modern war, and in the war, the representation and reasoning for solving the uncertain information and the wrong information are two important problems to be solved.
Disclosure of Invention
In order to solve the above problems, the present invention provides a battlefield situation assessment method, a terminal device and a storage medium.
The specific scheme is as follows:
a battlefield situation assessment method comprises the following steps:
s1: collecting battlefield situation and battlefield information;
s2: determining node contents of the Bayesian network, causal relationships among the nodes and the probability of each node according to the acquired battlefield situation and battlefield information, and completing construction of the Bayesian network; the node content comprises a global situation representing the final objective of the enemy, a corresponding sub-situation of how to realize the final objective of the enemy, a combat action executed under the condition that the enemy is in the sub-situation and a trigger reason of the global situation;
s3: and when the probability of a certain node in the Bayesian network changes, carrying out situation reasoning according to the Bayesian network, calculating the updated probability of each node, and evaluating the most possible situation of the current network.
Further, the battlefield information includes time, place, and friend or foe unit of action.
Further, global posture includes attack, defense, hold and retreat.
Further, the sub-situations include dominant attack, support and shield.
Further, the combat actions include staging, maneuvering, and radar power on and off.
Further, the global situation trigger reasons comprise force contrast and geographic advantages of both the enemy and the my.
A battlefield situation assessment terminal device comprises a processor, a memory and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the method of the embodiment of the invention.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method as described above for an embodiment of the invention.
By adopting the technical scheme, the invention establishes a view of the time, situation, position, enemy and my force contrast, force composition, battlefield strategy and the like of the battle, combines the obtained information with the environment and the battlefield strategy, finds evidence and reasons of event occurrence through contrast analysis, and infers and obtains the estimation of force structure and fighting characteristics of the enemy.
Drawings
Fig. 1 is a flowchart illustrating a first embodiment of the present invention.
Fig. 2 shows the conditional probability transition representation intention in this embodiment.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the embodiment of the invention provides a battlefield situation assessment method, as shown in fig. 1, the method comprises the following steps:
s1: and collecting the battlefield situation and the battlefield information.
The battlefield information in this embodiment includes time, place, enemy-me units, etc., which may be summarized and summarized by the expert.
S2: and determining node contents of the Bayesian network, causal relationships among the nodes and the probability of each node according to the acquired battlefield situation and battlefield information, and completing construction of the Bayesian network.
The node content takes a situation event as a core and comprises the following four types:
(1) and is used to represent the overall situation of the enemy's final target, such as whether the enemy is attacking attack, defending, holding, or withdrawing at this time.
(2) The overall situation corresponds to how to realize the sub-situation of the final objective of the enemy. For any state of the tree under the global state, it is composed of the corresponding sub-states, such as main attack, impersonation attack, support and mask when the global state is attack.
(3) And the operation actions executed under the condition that the enemy is in the subalpe situation, such as aggregation, maneuver, radar startup and shutdown and the like.
(4) The reason for triggering the global situation, such as the issuing of an attack command, is the decision of a commander on factors such as the comparison of the forces of the enemy and the my, the geographic advantages and the like; or the departure reasons of withdrawal may be that the forces are very different, or the loss is too large, etc.
When judging whether the enemy attacks, the enemy carries out attack decision taking factors of force comparison and firepower comparison into consideration, if yes, the enemy attacks, and if not, the enemy abandons the attack. The sub-situations possibly caused by the attack are assumed as attack Force, Mass aggregation and Missile Missile, and if the Missile is launched to trigger a combat action event, radar boot detection Rader is adopted. The causal relationship among the nodes can be determined by research and development scientific research personnel and military domain experts, for example, the global situation occurs due to the triggering reason of the global situation, and the reason of the sub-situation is the global situation.
In the probability distribution of the nodes, firstly, the prior probability of a top node without a parent node is determined to be P (V), and then, the appointed conditional probability P (V) is determined for a child node with the parent nodei|Pa(Vi)). In this embodiment the nodes have two discrete states False or True, and the expert specifies a conditional probability transition table for each node, as shown in fig. 2.
S3: and when the probability of a certain node in the Bayesian network changes, carrying out situation reasoning according to the Bayesian network, calculating the updated probability of each node, and evaluating the most possible situation of the current network.
The first embodiment of the invention establishes a view of the time, situation, position, enemy and my force contrast, force composition, battlefield strategy and the like of the battle, combines the obtained information with the environment and the battle strategy, finds the evidence and reason of the occurrence of the event through contrast analysis, and infers to obtain the estimation of the force structure of the enemy and the battle characteristics.
Example two:
the invention further provides battlefield situation evaluation terminal equipment, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the method embodiment of the first embodiment of the invention.
Further, as an executable scheme, the battlefield situation assessment terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The battlefield situation assessment terminal equipment can include, but is not limited to, a processor and a memory. It is understood by those skilled in the art that the above-mentioned composition structure of the battlefield situation evaluation terminal device is only an example of the battlefield situation evaluation terminal device, and does not constitute a limitation on the battlefield situation evaluation terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the battlefield situation evaluation terminal device may further include an input-output device, a network access device, a bus, etc., which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general processor can be a microprocessor or the processor can be any conventional processor and the like, the processor is a control center of the battlefield situation evaluation terminal equipment, and various interfaces and lines are utilized to connect various parts of the whole battlefield situation evaluation terminal equipment.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the battlefield situation evaluation terminal equipment by operating or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The integrated module/unit of the battlefield situation assessment terminal device can be stored in a computer readable storage medium if the module/unit is realized in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A battlefield situation assessment method is characterized by comprising the following steps:
s1: collecting battlefield situation and battlefield information;
s2: determining node contents of the Bayesian network, causal relationships among the nodes and the probability of each node according to the acquired battlefield situation and battlefield information, and completing construction of the Bayesian network; the node content comprises a global situation representing the final objective of the enemy, a corresponding sub-situation of how to realize the final objective of the enemy, a combat action executed under the condition that the enemy is in the sub-situation and a trigger reason of the global situation;
s3: and when the probability of a certain node in the Bayesian network changes, carrying out situation reasoning according to the Bayesian network, calculating the updated probability of each node, and evaluating the most possible situation of the current network.
2. The battlefield situation assessment method according to claim 1, wherein: the battlefield information includes time, place and enemy-me units of battle.
3. The battlefield situation assessment method according to claim 1, wherein: global posture includes attack, defense, hold and retreat.
4. The battlefield situation assessment method according to claim 1, wherein: the sub-situations include main attack, posing attack, support and shield.
5. The battlefield situation assessment method according to claim 1, wherein: the combat actions include staging, maneuvering, and radar power on and off.
6. The battlefield situation assessment method according to claim 1, wherein: the global situation trigger reasons comprise force contrast and geographic advantages of the enemy and the my.
7. A battlefield situation assessment terminal equipment is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 6 when executing the computer program.
8. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 8.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011637909.XA CN112749806A (en) | 2020-12-31 | 2020-12-31 | Battlefield situation assessment method, terminal equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011637909.XA CN112749806A (en) | 2020-12-31 | 2020-12-31 | Battlefield situation assessment method, terminal equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112749806A true CN112749806A (en) | 2021-05-04 |
Family
ID=75651134
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011637909.XA Pending CN112749806A (en) | 2020-12-31 | 2020-12-31 | Battlefield situation assessment method, terminal equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112749806A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115909027A (en) * | 2022-11-14 | 2023-04-04 | 中国人民解放军32370部队 | Situation estimation method and device |
CN116050515A (en) * | 2022-12-30 | 2023-05-02 | 中国电子科技集团公司信息科学研究院 | XGBoost-based parallel deduction multi-branch situation prediction method |
CN116628449A (en) * | 2023-05-29 | 2023-08-22 | 西安航空学院 | Situation assessment method of graph-based adjacency point priority joint tree SAAD-JT algorithm |
CN116680542A (en) * | 2023-06-27 | 2023-09-01 | 北京五木恒润科技有限公司 | Method and system for generating trunk branch situation and bypass branch situation |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8620852B1 (en) * | 2010-12-16 | 2013-12-31 | The Boeing Company | Systems, methods, and computer program products for predictive accuracy for strategic decision support |
CN103488886A (en) * | 2013-09-13 | 2014-01-01 | 清华大学 | State threat assessment method based on fuzzy dynamic Bayesian network |
US20170011007A1 (en) * | 2015-07-08 | 2017-01-12 | National Tsing Hua University | Land battle process evaluation method and system thereof |
CN106411921A (en) * | 2016-10-31 | 2017-02-15 | 中国人民解放军信息工程大学 | Multi-step attack prediction method based on cause-and-effect Byesian network |
CN107016212A (en) * | 2017-04-21 | 2017-08-04 | 中国电子科技集团公司第五十四研究所 | Intention analysis method based on dynamic Bayesian network |
CN107016464A (en) * | 2017-04-10 | 2017-08-04 | 中国电子科技集团公司第五十四研究所 | Threat estimating method based on dynamic bayesian network |
CN110175773A (en) * | 2019-05-24 | 2019-08-27 | 南京邮电大学 | Drones for surveillance's Combat Efficiency Evaluation method based on Bayesian network |
-
2020
- 2020-12-31 CN CN202011637909.XA patent/CN112749806A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8620852B1 (en) * | 2010-12-16 | 2013-12-31 | The Boeing Company | Systems, methods, and computer program products for predictive accuracy for strategic decision support |
CN103488886A (en) * | 2013-09-13 | 2014-01-01 | 清华大学 | State threat assessment method based on fuzzy dynamic Bayesian network |
US20170011007A1 (en) * | 2015-07-08 | 2017-01-12 | National Tsing Hua University | Land battle process evaluation method and system thereof |
CN106411921A (en) * | 2016-10-31 | 2017-02-15 | 中国人民解放军信息工程大学 | Multi-step attack prediction method based on cause-and-effect Byesian network |
CN107016464A (en) * | 2017-04-10 | 2017-08-04 | 中国电子科技集团公司第五十四研究所 | Threat estimating method based on dynamic bayesian network |
CN107016212A (en) * | 2017-04-21 | 2017-08-04 | 中国电子科技集团公司第五十四研究所 | Intention analysis method based on dynamic Bayesian network |
CN110175773A (en) * | 2019-05-24 | 2019-08-27 | 南京邮电大学 | Drones for surveillance's Combat Efficiency Evaluation method based on Bayesian network |
Non-Patent Citations (1)
Title |
---|
中国科协组织人事部,中国科协学会学术部编, 中国科学技术出版社 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115909027A (en) * | 2022-11-14 | 2023-04-04 | 中国人民解放军32370部队 | Situation estimation method and device |
CN116050515A (en) * | 2022-12-30 | 2023-05-02 | 中国电子科技集团公司信息科学研究院 | XGBoost-based parallel deduction multi-branch situation prediction method |
CN116050515B (en) * | 2022-12-30 | 2023-11-07 | 中国电子科技集团公司信息科学研究院 | XGBoost-based parallel deduction multi-branch situation prediction method |
CN116628449A (en) * | 2023-05-29 | 2023-08-22 | 西安航空学院 | Situation assessment method of graph-based adjacency point priority joint tree SAAD-JT algorithm |
CN116628449B (en) * | 2023-05-29 | 2024-02-13 | 西安航空学院 | Situation assessment method of graph-based adjacency point priority joint tree SAAD-JT algorithm |
CN116680542A (en) * | 2023-06-27 | 2023-09-01 | 北京五木恒润科技有限公司 | Method and system for generating trunk branch situation and bypass branch situation |
CN116680542B (en) * | 2023-06-27 | 2024-01-09 | 北京五木恒润科技有限公司 | Method and system for generating trunk branch situation and bypass branch situation |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112749806A (en) | Battlefield situation assessment method, terminal equipment and storage medium | |
Johansson et al. | A Bayesian network approach to threat evaluation with application to an air defense scenario | |
Xu et al. | Multi-attribute decision making method for air target threat evaluation based on intuitionistic fuzzy sets | |
CN107684720B (en) | Game skill generation method and device | |
Price et al. | The machine beneath: Implications of artificial intelligence in strategic decision making | |
Johnson | Artificial intelligence in nuclear warfare: a perfect storm of instability? | |
CN111224953A (en) | Method, device and storage medium for discovering threat organization attack based on abnormal point | |
CN114598504A (en) | Risk assessment method and device, electronic equipment and readable storage medium | |
Jelnov et al. | Attacking the unknown weapons of a potential bomb builder: The impact of intelligence on the strategic interaction | |
CN111030974A (en) | APT attack event detection method, device and storage medium | |
CN111931016B (en) | Situation evaluation method of reliability transmission algorithm based on root node priority search | |
CN113326639A (en) | Method and device for determining automatic driving test scene and electronic equipment | |
CN113713392B (en) | Virtual character control method and device, storage medium and electronic equipment | |
CN112990452B (en) | Man-machine confrontation knowledge driving type decision-making method and device and electronic equipment | |
Rubinstein | The collapse of strategy: understanding ideological bias in policy decisions | |
CN115580452B (en) | Attack and defense exercise method and device, electronic equipment and computer storage medium | |
US11899793B2 (en) | Information processing apparatus, control method, and program | |
Valin et al. | DSm theory for fusing highly conflicting ESM reports | |
Lonsdale | Obama's Second Term: Time for a New Discourse on Nuclear Strategy | |
CN114971423B (en) | Multi-UCAV collaborative task allocation method, device, electronic equipment and medium | |
Kim et al. | Simulation analysis on the effectiveness of missile defense | |
CN117732056A (en) | Game skill parallel processing method, device, service and storage medium | |
CN116720583B (en) | Observation state interpretation method and device based on probability cause tracing reasoning | |
CN115766058B (en) | Method and device for determining protection value of target defender, electronic equipment and medium | |
Reinhardt | A probabilistic analysis of the risk of nuclear deterrence failure |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210504 |