CN112966912A - Real-time battlefield situation updating algorithm - Google Patents
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Abstract
The invention discloses a real-time battlefield situation updating algorithm, and relates to the technical field of battlefield command control. The system comprises a target real-time information acquisition module, a real-time information acquisition module of our army, a command control module, a situation display module and a situation prediction module, wherein the output end of the target real-time information acquisition module is connected with the input end of a target information access and preprocessing module through a high-speed transmission network module. The battlefield environment of the target site and the military site is comprehensively monitored through the acquisition module, the accuracy of analysis and judgment of battlefield situation is improved based on comprehensive data, the acquired data is visually processed, the battlefield situation is watched and predicted in an auxiliary mode through VR equipment, the optimal operation scheme is obtained, the optimal operation scheme can be updated by the algorithm according to the battlefield situation in real time, and the problems that the existing battlefield situation algorithm is poor in real-time performance, poor in reliability of the battlefield and low in accuracy of battlefield prediction are solved.
Description
Technical Field
The invention belongs to the technical field of battlefield command control, and particularly relates to a battlefield situation real-time updating algorithm.
Background
The battlefield situation is a state and a form on a battlefield, and comprises a series of data related to battles, such as enemy dynamics, battlefield terrain, weather, military force conditions, force comparison and the like, by integrating the situation elements such as military force distribution and activity, weapon systems, maneuverability, battlefield geographic environment, weather and the like of both the enemy and the my, the occurred events and plans are identified and analyzed, the estimation of the military force structure, deployment, action direction and route of the enemy is determined, the fighting style of the enemy is identified, the fighting intention of the enemy is deduced, the current battlefield situation is reasonably explained, the situation change at the future moment is predicted, and finally a battlefield comprehensive situation map formed by the organizations such as the fighting activities, events, time, positions, military force elements and the like is established, but the existing battlefield situation algorithm still has the following defects in the actual use:
1. the existing battlefield situation algorithm has poor real-time performance and is difficult to update the optimal combat scheme in real time;
2. the existing battlefield situation algorithm has weak grasp capability on the battlefield and low prediction accuracy of the battlefield.
Therefore, the existing battlefield situation algorithm cannot meet the requirements in practical use, so that an improved technology is urgently needed in the market to solve the problems.
Disclosure of Invention
The invention aims to provide a real-time battlefield situation updating algorithm, which is characterized in that a collecting module is used for comprehensively monitoring battlefield environments of a target site and a military site, the accuracy of analysis and judgment of the battlefield situation is improved based on comprehensive data, the collected data is subjected to visual processing, the battlefield situation is watched and predicted in an auxiliary mode through VR equipment, and an optimal combat scheme is obtained.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a battlefield situation real-time updating algorithm which comprises a target real-time information acquisition module, an own army real-time information acquisition module, a command control module, a situation display module and a situation prediction module, wherein the output end of the target real-time information acquisition module is connected with the input end of a target information access and preprocessing module through a high-speed transmission network module, the output end of the own army real-time information acquisition module is connected with the input end of the own army information access and preprocessing module through the high-speed transmission network module, and the output ends of the target information access and preprocessing module and the own army information access and preprocessing module are connected with the input end of the command control module;
the command control module is respectively in bidirectional connection with the situation display module, the situation prediction module and the situation distribution module;
and the situation distribution module is respectively in bidirectional connection with the on-site commander terminal and the superior command center through the high-speed transmission network module.
Furthermore, the target real-time information acquisition module comprises a GPS position and range acquisition unit, a geographic information acquisition unit, a meteorological environment acquisition unit, an electromagnetic environment acquisition unit and a traffic information acquisition unit, wherein the GPS position and range acquisition unit is used for acquiring GPS position and army range data of a target army, the geographic information acquisition unit is used for acquiring geographic information data such as landform, river system, important landmarks, military key landmarks and the like around the target army, the meteorological environment acquisition unit is used for acquiring various meteorological information data around the target army, the electromagnetic environment acquisition unit is used for acquiring electromagnetic information data such as radiation sources, electromagnetic spectrum distribution and the like around the target army, and the traffic information acquisition unit is used for acquiring traffic information data such as roads, railways, aviation, water ways and the like around the target army through a sensor technology, The high-tech technologies such as satellite technology are matched to obtain the battlefield environment data of the target and the army.
Furthermore, the target real-time information acquisition module and the real-time information acquisition module of my army have the same structure, and the real-time information acquisition module of my army is used for acquiring the GPS position, the military range, the geographic information, the meteorological environment, the electromagnetic environment and the traffic information data of the place of my army.
Furthermore, the situation display module comprises a visualization unit, an image chart real-time display unit and a VR real-time display unit, the visualization unit is used for performing visualization processing on the acquired data to form two-dimensional and three-dimensional visual chart image information, the image chart real-time display unit is used for displaying the two-dimensional and three-dimensional visual chart image information of a battlefield in real time, and the VR real-time display unit is used for commanding personnel to perform battlefield VR watching to improve the understanding degree of the commanding personnel on battlefield environment.
Furthermore, the situation prediction module comprises a computer prediction unit, a man-made prediction unit, a VR simulation unit and a target action prediction unit, the computer prediction unit predicts the attack probability of the army through computer software, the man-made prediction unit is used for artificially correcting the prediction result of the computer prediction unit, the VR simulation unit is used for assisting the man-made prediction unit, commanders perform VR battlefield simulation through the VR simulation unit so as to improve judgment, the target action prediction unit predicts the next action of the enemy according to the dynamic information of the target battlefield environment, and the auxiliary command control module formulates a combat scheme.
The invention has the following beneficial effects:
1. according to the invention, the target real-time information acquisition module and the army real-time information acquisition module are arranged, GPS positions, army range, geographic information, meteorological environment, electromagnetic environment and traffic information data of a target place and the army place are comprehensively monitored through the acquisition modules, and analysis and judgment on battlefield situations are more accurate through integration of the command control module based on the comprehensive data.
2. According to the invention, the situation display module is arranged, so that the algorithm has better intuition, the acquired data is visually processed to form two-dimensional and three-dimensional visual chart image information, and the VR equipment is used for assisting the commander to know the battlefield situation, so that the degree of grasp of the commander on the battlefield environment is improved, and the accuracy of analysis and judgment on the battlefield situation is indirectly improved.
3. According to the invention, by arranging the situation prediction module, computer software prediction and artificial prediction are combined, and auxiliary prediction is carried out by means of the VR simulation unit, commanders carry out VR battlefield simulation through the VR simulation unit, judgment is improved, prediction is more reasonable and accurate, an optimal combat scheme is obtained, the optimal combat scheme can be updated by the algorithm according to battlefield situations in real time, next action of enemy can be predicted by the target action prediction unit according to dynamic information of a target battlefield environment, the comprehensiveness of the algorithm is improved, and the optimal combat scheme is updated based on the next action of the enemy.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a functional block diagram of the present invention;
FIG. 2 is a schematic diagram of a target real-time information collection module according to the present invention;
FIG. 3 is a schematic diagram of a situation display module according to the present invention;
FIG. 4 is a block diagram of a situation prediction module according to the present invention;
FIG. 5 is a flow chart of the algorithm of the present invention.
In the drawings, the components represented by the respective reference numerals are listed below:
1. a target real-time information acquisition module; 2. a real-time information acquisition module of the army; 3. a high-speed transmission network module; 4. the target information access and preprocessing module; 5. the army information access and preprocessing module; 6. a command control module; 7. a situation display module; 8. a situation prediction module; 9. a situation distribution module; 10. a field commander terminal; 11. a superior command center; 101. a GPS position and range acquisition unit; 102. a geographic information acquisition unit; 103. a meteorological environment acquisition unit; 104. an electromagnetic environment acquisition unit; 105. a traffic information acquisition unit; 701. a visualization unit; 702. an image chart real-time display unit; 703. a VR real-time display unit; 801. a computer prediction unit; 802. an artificial prediction unit; 803. a VR simulation unit; 804. and a target action prediction unit.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, the invention is a battlefield situation real-time updating algorithm, comprising a target real-time information acquisition module 1, a real-time information acquisition module 2 of my army, a command control module 6, a situation display module 7 and a situation prediction module 8, wherein the output end of the target real-time information acquisition module 1 is connected with the input end of a target information access and preprocessing module 4 through a high-speed transmission network module 3, the output end of the real-time information acquisition module 2 of my army is connected with the input end of a information access and preprocessing module 5 of my army through the high-speed transmission network module 3, the output end of the target information access and preprocessing module 4 and the output end of the information access and preprocessing module 5 of my army are both connected with the input end of the command control module 6, the command control module 6 is respectively connected with the situation display module 7, the situation prediction module 8 and the situation distribution module 9 in a bidirectional manner, the situation distribution module 9 is respectively connected with the on-site commander terminal 10 and the superior command center 11 in two ways through the high-speed transmission network module 3.
As shown in fig. 2, the target real-time information acquisition module 1 includes a GPS position and range acquisition unit 101, a geographic information acquisition unit 102, a meteorological environment acquisition unit 103, an electromagnetic environment acquisition unit 104, and a traffic information acquisition unit 105, the GPS position and range acquisition unit 101 is used for acquiring GPS position and military range data of a target military, the geographic information acquisition unit 102 is used for acquiring landforms, river systems, and important landmarks around the target military, geographic information data such as military key geographic information, meteorological environment acquisition unit 103 is used for acquiring various meteorological information data around the target army, electromagnetic environment acquisition unit 104 is used for acquiring electromagnetic information data such as radiation sources and electromagnetic spectrum distribution around the target army, and traffic information acquisition unit 105 is used for acquiring traffic information data such as roads, railways, aviation and waterways around the target army.
The target real-time information acquisition module 1 and the real-time information acquisition module 2 of our army have the same structure, and the real-time information acquisition module 2 of our army is used for acquiring the GPS position, the army range, the geographic information, the meteorological environment, the electromagnetic environment and the traffic information data of the place of our army.
As shown in fig. 3, the situation display module 7 includes a visualization unit 701, an image chart real-time display unit 702, and a VR real-time display unit 703, where the visualization unit 701 is configured to perform visualization processing on the collected data to form two-dimensional and three-dimensional intuitive chart image information, the image chart real-time display unit 702 is configured to display the two-dimensional and three-dimensional intuitive chart image information of the battlefield in real time, and the VR real-time display unit 703 is configured to enable a commander to perform battlefield VR viewing, so as to improve the understanding degree of the commander on the battlefield environment.
As shown in fig. 4, the situation prediction module 8 includes a computer prediction unit 801, a human prediction unit 802, a VR simulation unit 803, and a target action prediction unit 804, where the computer prediction unit 801 predicts the attack probability of our army through computer software, the human prediction unit 802 is used to artificially modify the prediction result of the computer prediction unit 801, the VR simulation unit 803 is used to assist the human prediction unit 802, and a commander performs VR battlefield simulation through the VR simulation unit 803, so as to improve judgment, and the target action prediction unit 804 predicts the next action of the enemy according to the dynamic information of the target battlefield environment.
As shown in fig. 5, the algorithm of the present invention has the following steps:
s1: the GPS position of a target place, the military range, the geographic information, the meteorological environment, the electromagnetic environment and the traffic information data are collected through a target real-time information collection module 1, and the information is transmitted to a rear battlefield command part through a high-speed transmission network module 3;
s2: the GPS position, the military range, the geographic information, the meteorological environment, the electromagnetic environment and the traffic information data of the army place are collected through the real-time information collection module 2 of the army, and the information is transmitted to a rear battlefield command department through the high-speed transmission network module 3;
s3: the target information access and preprocessing module 4 receives the information acquired by the target real-time information acquisition module 1, preprocesses the information, eliminates abnormal data, and transmits the preprocessed information to the command control module 6;
s4: the army information access and preprocessing module 5 receives the information acquired by the army real-time information acquisition module 2, preprocesses the information, eliminates abnormal data, and transmits the preprocessed information to the command control module 6;
s5: the command control module 6 carries out systematic analysis based on battlefield environments of the army and the target site, carries out visual processing on information through the situation display module 7, carries out visual display, predicts battlefield conditions through the situation prediction module 8 and judges whether the army can attack the target site;
s6: if the battle can be carried out, the command control module 6 carries out computer VR simulation, artificial correction and the like to form a battle scheme, the battle scheme comprises information such as VR videos, voice, images and the like, the situation distribution module 9 sends visual data, the battle scheme and instructions to the field commander terminal 10 and the superior command center 11, and the target real-time information acquisition module 1 and the real-time information acquisition module 2 of the army continuously acquire battle field environment data of the army and a target site in real time in the battle process of the army, carry out data preprocessing and systematic analysis, and continuously update the battle field situation data and the battle scheme;
s7: if the battle cannot be performed, the command control module 6 controls the situation distribution module 9 to send a transfer instruction to the field commander terminal 10 and the superior command center 11 to transfer the army, and in the transfer process, the target real-time information acquisition module 1 and the army real-time information acquisition module 2 are used for uninterruptedly acquiring battlefield environment data of the army and a target site in real time, and performing data preprocessing and systematic analysis until the situation prediction module 8 judges that the battle can be performed.
The above are only preferred embodiments of the present invention, and the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made to the technical solutions described in the above embodiments, and to some of the technical features thereof, are included in the scope of the present invention.
Claims (5)
1. The utility model provides a real-time update algorithm of battlefield situation, includes target real-time information acquisition module (1), I army real-time information acquisition module (2), command control module (6), situation display module (7) and situation prediction module (8), its characterized in that: the output end of the target real-time information acquisition module (1) is connected with the input end of a target information access and preprocessing module (4) through a high-speed transmission network module (3), the output end of the army real-time information acquisition module (2) is connected with the input end of an army information access and preprocessing module (5) through the high-speed transmission network module (3), and the output end of the target information access and preprocessing module (4) and the output end of the army information access and preprocessing module (5) are both connected with the input end of a command control module (6);
the command control module (6) is respectively connected with the situation display module (7), the situation prediction module (8) and the situation distribution module (9) in a bidirectional way;
the situation distribution module (9) is respectively in bidirectional connection with the on-site commander terminal (10) and the superior command center (11) through the high-speed transmission network module (3).
2. The battlefield situation real-time updating algorithm as claimed in claim 1, wherein the target real-time information acquisition module (1) comprises a GPS position and range acquisition unit (101), a geographic information acquisition unit (102), a meteorological environment acquisition unit (103), an electromagnetic environment acquisition unit (104) and a traffic information acquisition unit (105), the GPS position and range acquisition unit (101) is used for acquiring GPS position and army range data of a target army, the geographic information acquisition unit (102) is used for acquiring geographic information data such as terrain and landform, river and water system, important landmarks, military situation and the like around the target army, the meteorological environment acquisition unit (103) is used for acquiring various meteorological information data around the target army, and the electromagnetic environment acquisition unit (104) is used for acquiring radiation sources, radiation sources and military situation around the target army, The traffic information acquisition unit (105) is used for acquiring traffic information data such as roads, railways, aviation, water ways and the like around a target army.
3. The battlefield situation real-time updating algorithm as claimed in claim 1, wherein the target real-time information acquisition module (1) and the real-time information acquisition module (2) of my army have the same structure, and the real-time information acquisition module (2) of my army is used for acquiring the GPS position of the place of my army, the military range, the geographic information, the meteorological environment, the electromagnetic environment and the traffic information data.
4. The battlefield situation real-time updating algorithm as claimed in claim 1, wherein the situation display module (7) comprises a visualization unit (701), an image chart real-time display unit (702) and a VR real-time display unit (703), the visualization unit (701) is used for performing visualization processing on the collected data to form two-dimensional and three-dimensional visual chart image information, the image chart real-time display unit (702) is used for displaying the two-dimensional and three-dimensional visual chart image information of the battlefield in real time, and the VR real-time display unit (703) is used for commanding personnel to perform battlefield VR watching, so that the understanding degree of the commander on the battlefield environment is improved.
5. The battlefield situation real-time updating algorithm as claimed in claim 1, wherein the situation prediction module (8) comprises a computer prediction unit (801), a human prediction unit (802), a VR simulation unit (803) and a target action prediction unit (804), the computer prediction unit (801) predicts the attack probability of our army through computer software, the human prediction unit (802) is used for artificially correcting the prediction result of the computer prediction unit (801), the VR simulation unit (803) is used for assisting the human prediction unit (802), a commander performs VR battlefield simulation through the VR simulation unit (803) so as to improve judgment, and the target action prediction unit (804) predicts the next action of the enemy according to the dynamic information of the target battlefield environment.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114969350A (en) * | 2022-08-01 | 2022-08-30 | 中国电子科技集团公司第十研究所 | Intelligent auxiliary generation method for comprehensive situation |
| CN115017677A (en) * | 2022-04-27 | 2022-09-06 | 中国人民解放军军事科学院战略评估咨询中心 | Deduction simulation-oriented action strategy prejudging method and system |
| CN116842127A (en) * | 2023-08-31 | 2023-10-03 | 中国人民解放军海军航空大学 | Self-adaptive auxiliary decision-making intelligent method and system based on multi-source dynamic data |
-
2021
- 2021-02-25 CN CN202110209226.2A patent/CN112966912A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115017677A (en) * | 2022-04-27 | 2022-09-06 | 中国人民解放军军事科学院战略评估咨询中心 | Deduction simulation-oriented action strategy prejudging method and system |
| CN114969350A (en) * | 2022-08-01 | 2022-08-30 | 中国电子科技集团公司第十研究所 | Intelligent auxiliary generation method for comprehensive situation |
| CN116842127A (en) * | 2023-08-31 | 2023-10-03 | 中国人民解放军海军航空大学 | Self-adaptive auxiliary decision-making intelligent method and system based on multi-source dynamic data |
| CN116842127B (en) * | 2023-08-31 | 2023-12-05 | 中国人民解放军海军航空大学 | Self-adaptive auxiliary decision-making intelligent method and system based on multi-source dynamic data |
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Application publication date: 20210615 |