A battlefield situation multi-department collaborative command system based on multi-source data fusion

Abstract

The present invention belongs to the field of national defense and military affairs, and specifically discloses a battlefield situation multi-department collaborative command system based on multi-source data fusion, comprising: a massive sensor receiving module; a multi-source data fusion module; a three-dimensional battlefield situation map generating module; a collaborative command module; and a data updating module. The present invention realizes all-round real-time monitoring of the battlefield and enhances the battlefield situation perception capability by accessing the real-time data of massive sensors. Through multi-source data fusion, more comprehensive and accurate battlefield situation information is provided, and information errors are reduced. A professional identification library and a three-dimensional model library realize intelligent and real-time situation mapping and three-dimensional visualization presentation, improve the intuitiveness and readability of the battlefield situation, provide strong support for command decision-making, realize multi-department collaborative command, improve command efficiency and combat effectiveness, and enable rapid response and close cooperation between departments.

Description

Technical Field

[0001] The present invention belongs to the field of national defense and military affairs, and specifically relates to a battlefield situation multi-department collaborative command system based on multi-source data fusion. Background Art

[0002] In modern warfare, accurately grasping the battlefield situation is crucial to command decision-making.

[0003] However, traditional battlefield situational awareness mainly relies on a single data source, such as radar and satellite, which has limited information and may contain errors;

[0004] At the same time, the command systems between departments are relatively independent and lack coordination, making it difficult to achieve efficient command decisions;

[0005] In addition, the lack of professional identification libraries and three-dimensional model libraries for situation mapping makes it difficult to achieve intelligent and real-time presentation of battlefield situations. Summary of the invention

[0006] The purpose of the present invention is to provide a battlefield situation multi-department collaborative command system based on multi-source data fusion to solve the problem that traditional battlefield situation perception mainly relies on a single data source, has limited information and may have errors.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A battlefield situation multi-department collaborative command system based on multi-source data fusion, including:

[0009] A massive sensor receiving module is used to receive and process real-time data from massive sensors in different channels on the battlefield to obtain data from different data sources;

[0010] A multi-source data fusion module is used to fuse the data from different data sources to obtain fused data, extract key battlefield situation information based on the fused data, and generate a unified battlefield situation map;

[0011] A three-dimensional battlefield situation map generation module is used to generate a three-dimensional battlefield situation map by performing three-dimensional visualization based on the battlefield situation map using a three-dimensional model library and a label library;

[0012] A collaborative command module, used to send the three-dimensional battlefield situation map to each command terminal and perform communication interaction between the command terminals of each part;

[0013] The data updating module is used to update the three-dimensional battlefield situation map when new data is obtained, and synchronize it to the multi-department command terminal.

[0014] Preferably, the mass sensor receiving module includes: a data processing unit, a data buffer unit and a format conversion unit;

[0015] The data processing unit is used to process massive data using the Apache Flink stream processing framework;

[0016] The data cache unit is used to cache data using a Redis memory database;

[0017] The format conversion unit is used to define a unified data format to perform format conversion on the real-time data of the massive sensors from different channels.

[0018] Preferably, the multi-source data fusion module uses the following formula to fuse the data from different data sources:

[0019]

[0020] Where FusionValue i represents the ith battlefield situation index value after fusion, ω j represents the weight of the jth data source and satisfies DataValue ij Represents the i-th battlefield situation index value provided by the j-th data source.

[0021] Preferably, the collaborative command module includes: a data interaction unit, a visualization display unit and an auxiliary decision making unit;

[0022] The data exchange unit is used to receive command data from each command terminal and send the command data to the corresponding command terminal;

[0023] The visualization display unit is used to visualize the three-dimensional battlefield situation map;

[0024] The auxiliary decision generating unit is used to send auxiliary decisions to the command terminals of each part according to the three-dimensional battlefield situation map.

[0025] Preferably, the auxiliary decision generation unit trains a machine learning model through historical data, presets decision rules, and provides decision suggestions based on the three-dimensional battlefield situation map;

[0026] The decision-making rules include tactical rules and enemy situation analysis.

[0027] Preferably, the identification library includes a military symbol collection unit, a symbol processing unit and a symbol management unit;

[0028] The military symbol collection unit is used to collect various military symbols and logos, including troops, equipment and facilities;

[0029] The symbol processing unit is used to perform standardization processing on the military symbols and logos to ensure the consistency and accuracy of the military symbols and logos;

[0030] The symbol management unit is used to develop symbol management tools to support the creation, modification, deletion and query of the military symbols and logos.

[0031] Preferably, the three-dimensional model library includes a three-dimensional model collection unit, a model optimization unit and a model management unit;

[0032] The three-dimensional model collection unit is used to collect three-dimensional models of various weapons and equipment and terrain features;

[0033] The model optimization unit is used to perform format conversion on the collected three-dimensional models, convert the three-dimensional models into a unified format, and optimize the three-dimensional models;

[0034] The model management unit is used to develop a model management tool to support the import, export, editing and query of the three-dimensional model.

[0035] Preferably, the data update module includes: a timestamp management unit, an incremental update unit and a full synchronization unit;

[0036] The timestamp management unit is used to add a timestamp to the data of each data source and record the data generation time;

[0037] The incremental update unit is used to regularly check new data, determine which data is newly added based on the timestamp, and then update it into the battlefield situation map;

[0038] The full synchronization unit is used to perform full data synchronization at a specific time point, and synchronize the updated data to each of the command terminals through a message queue.

[0039] Preferably, the system further comprises a security and confidentiality module, which comprises a data encryption unit, an access control unit, an identity authentication unit and an audit monitoring unit;

[0040] The data encryption unit is used to encrypt, store and transmit data using the AES symmetric encryption algorithm, and use AWS to securely manage the key;

[0041] The access control unit is used to define the permissions of different users based on RBAC to achieve fine-grained access control;

[0042] The identity authentication unit is used to adopt the MFA mechanism and use the Open ID Connect protocol to authenticate the user;

[0043] Audit monitoring unit, used to monitor user activities in real time, record logs and conduct regular audits.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The present invention realizes all-round real-time monitoring of the battlefield by accessing real-time data from massive sensors, enhances the battlefield situation perception capability, provides more comprehensive and accurate battlefield situation information through multi-source data fusion, reduces information errors, and realizes intelligent, real-time situation mapping and three-dimensional visualization presentation through professional identification library and three-dimensional model library, thereby improving the intuitiveness and readability of battlefield situation, providing strong support for command decision-making, realizing multi-department coordinated command, improving command efficiency and combat effectiveness, enabling rapid response and close cooperation between departments, and real-time updated battlefield situation map and intelligent decision-making assistance functions to help commanders make accurate decisions in a timely manner to cope with complex and changeable battlefield situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. 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 creative labor. Among them:

[0047] Figure 1 It is a system module block diagram of the present invention. DETAILED DESCRIPTION

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0049] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0050] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0051] As attached Figure 1 As shown:

[0052] Embodiment 1: This embodiment provides a battlefield situation multi-department collaborative command system based on multi-source data fusion, including:

[0053] A massive sensor receiving module is used to receive and process real-time data from massive sensors in different channels on the battlefield to obtain data from different data sources;

[0054] The multi-source data fusion module is used to fuse data from different data sources to obtain fused data, extract key battlefield situation information based on the fused data, and generate a unified battlefield situation map;

[0055] A three-dimensional battlefield situation map generation module is used to generate a three-dimensional battlefield situation map by using a three-dimensional model library and a label library to perform three-dimensional visualization on the basis of the battlefield situation map;

[0056] The collaborative command module is used to send the three-dimensional battlefield situation map to each command terminal and to communicate and interact between the command terminals of each part;

[0057] The data update module is used to update the three-dimensional battlefield situation map when new data is obtained, and synchronize it to the command terminals of multiple departments.

[0058] The real-time data of massive sensors from different channels on the battlefield include but are not limited to satellite images, radar data, drone reconnaissance data, situation information, etc. By collecting data from different channels on the battlefield and then fusing multi-source data, removing redundant information, extracting key battlefield situation information, and generating a unified battlefield situation map, more comprehensive and accurate battlefield situation information is provided, information errors are reduced, and strong support is provided for command decision-making. The three-dimensional battlefield situation map generation module establishes a professional identification library and a three-dimensional model library to label and model the battlefield situation map, and generates a three-dimensional battlefield situation map with a three-dimensional visual presentation. Finally, a multi-department collaborative command platform is established through the collaborative command module, which connects multiple command departments at the same time and visualizes the three-dimensional battlefield situation map. Commanders from various departments can view it at any time and simultaneously to achieve multi-department collaborative command and improve command efficiency and combat effectiveness.

[0059] Embodiment 2: This embodiment provides a battlefield situation multi-department collaborative command system based on multi-source data fusion, including:

[0060] A massive sensor receiving module is used to receive and process real-time data from massive sensors in different channels on the battlefield to obtain data from different data sources;

[0061] The multi-source data fusion module is used to fuse data from different data sources to obtain fused data, extract key battlefield situation information based on the fused data, and generate a unified battlefield situation map;

[0062] A three-dimensional battlefield situation map generation module is used to generate a three-dimensional battlefield situation map by using a three-dimensional model library and a label library to perform three-dimensional visualization on the basis of the battlefield situation map;

[0063] The collaborative command module is used to send the three-dimensional battlefield situation map to each command terminal and to communicate and interact between the command terminals of each part;

[0064] The data update module is used to update the three-dimensional battlefield situation map when new data is obtained, and synchronize it to the command terminals of multiple departments.

[0065] The real-time data of massive sensors from different channels on the battlefield include but are not limited to satellite images, radar data, drone reconnaissance data, situation information, etc. By collecting data from different channels on the battlefield and then fusing multi-source data, removing redundant information, extracting key battlefield situation information, and generating a unified battlefield situation map, more comprehensive and accurate battlefield situation information is provided, information errors are reduced, and strong support is provided for command decision-making. The three-dimensional battlefield situation map generation module establishes a professional identification library and a three-dimensional model library to label and model the battlefield situation map, and generates a three-dimensional battlefield situation map with a three-dimensional visual presentation. Finally, a multi-department collaborative command platform is established through the collaborative command module, which connects multiple command departments at the same time and visualizes the three-dimensional battlefield situation map. Commanders from various departments can view it at any time and simultaneously to achieve multi-department collaborative command and improve command efficiency and combat effectiveness.

[0066] Specifically, the massive sensor receiving module includes: a data processing unit, a data buffer unit and a format conversion unit;

[0067] Data processing unit, used to process massive data using Apache Flink stream processing framework;

[0068] A data cache unit is used to cache data using a Redis in-memory database;

[0069] The format conversion unit is used to define a unified data format to convert the real-time data of massive sensors from different channels.

[0070] Specifically, the multi-source data fusion module uses the following formula to fuse data from different data sources:

[0071]

[0072] Where FusionValue i represents the ith battlefield situation index value after fusion, ω j represents the weight of the jth data source and satisfies DataValue ijRepresents the i-th battlefield situation index value provided by the j-th data source.

[0073] Specifically, the collaborative command module includes: data interaction unit, visualization display unit and auxiliary decision making unit;

[0074] A data exchange unit, used to receive command data from each command terminal and send the command data to the corresponding command terminal;

[0075] A visualization display unit, used for visually displaying a three-dimensional battlefield situation map;

[0076] The auxiliary decision generating unit is used to send auxiliary decisions to the command terminals of each part according to the three-dimensional battlefield situation map.

[0077] Specifically, the auxiliary decision generation unit trains the machine learning model through historical data, presets decision rules, and provides decision suggestions based on the three-dimensional battlefield situation map;

[0078] Decision-making rules include tactical rules and enemy situation analysis.

[0079] Specifically, the identification library includes a military symbol collection unit, a symbol processing unit, and a symbol management unit;

[0080] Military symbol collection unit, used to collect various military symbols and logos, including troops, equipment and facilities;

[0081] Symbol processing unit, used to standardize military symbols and logos to ensure the consistency and accuracy of military symbols and logos;

[0082] The Symbol Management Unit is used to develop symbol management tools to support the creation, modification, deletion and query of military symbols and logos.

[0083] Specifically, the 3D model library includes a 3D model collection unit, a model optimization unit and a model management unit;

[0084] 3D model collection unit, used to collect 3D models of various weapons and equipment, terrain and landforms;

[0085] The model optimization unit is used to convert the format of the collected 3D models so as to use them in the system, convert the 3D models into a unified format, and optimize the 3D models to reduce the size and complexity of the models and improve rendering efficiency;

[0086] The model management unit is used to develop model management tools that support the import, export, editing and query of 3D models.

[0087] Specifically, the data update module includes: a timestamp management unit, an incremental update unit and a full synchronization unit;

[0088] A timestamp management unit, used to add a timestamp to the data of each data source and record the data generation time;

[0089] The incremental update unit is used to periodically check for new data, determine which data is newly added based on the timestamp, and then update it to the battlefield situation map;

[0090] The full synchronization unit is used to synchronize the full data at a specific time point and synchronize the updated data to each command terminal through the message queue.

[0091] Specifically, the system also includes a security and confidentiality module, which includes a data encryption unit, an access control unit, an identity authentication unit, and an audit monitoring unit;

[0092] Data encryption unit, which uses the AES symmetric encryption algorithm to encrypt data for storage and transmission, and uses AWS to securely manage keys;

[0093] Access control unit, which is used to define permissions for different users based on RBAC, implement fine-grained access control, and ensure that users can only access authorized data;

[0094] The identity authentication unit is used to authenticate users using the MFA mechanism and the Open ID Connect protocol to prevent unauthorized access;

[0095] Audit monitoring unit, used to monitor user activities in real time, record logs and conduct regular audits.

[0096] From the above, we can see that by accessing the real-time data of massive sensors, we can achieve all-round real-time monitoring of the battlefield and enhance the battlefield situation awareness capability; through multi-source data fusion, we can provide more comprehensive and accurate battlefield situation information, reduce information errors, and provide strong support for command decisions; realize multi-department coordinated command, improve command efficiency and combat effectiveness, and enable rapid response and close cooperation between departments; real-time updated battlefield situation maps and intelligent decision-making assistance functions help commanders make accurate decisions in a timely manner to cope with complex and changing battlefield situations; strict security and confidentiality measures ensure the security of battlefield information and prevent information leakage; professional identification libraries and three-dimensional model libraries realize intelligent, real-time situation mapping and three-dimensional visualization, improving the intuitiveness and readability of battlefield situation.

[0097] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only a few embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible (e.g., the size, scale, structure, shape and proportion of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc.) without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. In the claims, any "device plus function" clause is intended to cover the structure of performing the function described herein, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiments. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0098] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those that are not relevant to implementing the invention) may not be described.

[0099] It will be appreciated that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but will be a routine task of design, fabrication, and production for those of ordinary skill having the benefit of this disclosure without undue experimentation.

[0100] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A battlefield situation multi-department collaborative command system based on multi-source data fusion, characterized in that: include: A massive sensor receiving module is used to receive and process real-time data from massive sensors in different channels on the battlefield to obtain data from different data sources; A multi-source data fusion module is used to fuse the data from different data sources to obtain fused data, extract key battlefield situation information based on the fused data, and generate a unified battlefield situation map; A three-dimensional battlefield situation map generation module is used to generate a three-dimensional battlefield situation map by performing three-dimensional visualization based on the battlefield situation map using a three-dimensional model library and a label library; A collaborative command module, used to send the three-dimensional battlefield situation map to each command terminal and perform communication interaction between the command terminals of each part; The data updating module is used to update the three-dimensional battlefield situation map when new data is obtained, and synchronize it to the multi-department command terminal.

2. The battlefield situation multi-department collaborative command system based on multi-source data fusion according to claim 1 is characterized in that: The mass sensor receiving module includes: a data processing unit, a data buffer unit and a format conversion unit; The data processing unit is used to process massive data using the Apache Flink stream processing framework; The data caching unit is used to use the Redis memory database to cache data; The format conversion unit is used to define a unified data format to perform format conversion on the real-time data of the massive sensors from different channels.

3. The battlefield situation multi-department collaborative command system based on multi-source data fusion according to claim 1 is characterized in that: The multi-source data fusion module uses the following formula to fuse the data from different data sources: Where FusionValue i represents the ith battlefield situation index value after fusion, ω j represents the weight of the jth data source and satisfies DataValue ij Represents the i-th battlefield situation index value provided by the j-th data source.

4. The battlefield situation multi-department collaborative command system based on multi-source data fusion according to claim 1 is characterized in that: The collaborative command module includes: a data interaction unit, a visualization display unit and an auxiliary decision making unit; The data exchange unit is used to receive command data from each command terminal and send the command data to the corresponding command terminal; The visualization display unit is used to visualize the three-dimensional battlefield situation map; The auxiliary decision generating unit is used to send auxiliary decisions to the command terminals of each part according to the three-dimensional battlefield situation map.

5. The battlefield situation multi-department coordinated command system based on multi-source data fusion according to claim 4 is characterized in that: The auxiliary decision generation unit trains a machine learning model through historical data, presets decision rules, and provides decision suggestions based on the three-dimensional battlefield situation map; The decision-making rules include tactical rules and enemy situation analysis.

6. The battlefield situation multi-department coordinated command system based on multi-source data fusion according to claim 1 is characterized in that: The identification library includes a military symbol collection unit, a symbol processing unit and a symbol management unit; The military symbol collection unit is used to collect various military symbols and logos, including troops, equipment and facilities; The symbol processing unit is used to perform standardization processing on the military symbols and logos to ensure the consistency and accuracy of the military symbols and logos; The symbol management unit is used to develop symbol management tools to support the creation, modification, deletion and query of the military symbols and logos.

7. The battlefield situation multi-department coordinated command system based on multi-source data fusion according to claim 1 is characterized in that: The three-dimensional model library includes a three-dimensional model collection unit, a model optimization unit and a model management unit; The three-dimensional model collection unit is used to collect three-dimensional models of various weapons and equipment and terrain features; The model optimization unit is used to perform format conversion on the collected three-dimensional models, convert the three-dimensional models into a unified format, and optimize the three-dimensional models; The model management unit is used to develop a model management tool to support the import, export, editing and query of the three-dimensional model.

8. The battlefield situation multi-department coordinated command system based on multi-source data fusion according to claim 1 is characterized in that: The data update module includes: a timestamp management unit, an incremental update unit and a full synchronization unit; The timestamp management unit is used to add a timestamp to the data of each data source and record the data generation time; The incremental update unit is used to regularly check new data, determine which data is newly added based on the timestamp, and then update it into the battlefield situation map; The full synchronization unit is used to perform full data synchronization at a specific time point, and synchronize the updated data to each of the command terminals through a message queue.

9. The battlefield situation multi-department collaborative command system based on multi-source data fusion according to claim 1 is characterized in that: The system also includes a security and confidentiality module, which includes a data encryption unit, an access control unit, an identity authentication unit and an audit monitoring unit; The data encryption unit is used to encrypt, store and transmit data using the AES symmetric encryption algorithm, and use AWS to securely manage the key; The access control unit is used to define the permissions of different users based on RBAC to achieve fine-grained access control; The identity authentication unit is used to adopt the MFA mechanism and use the OpenID Connect protocol to authenticate the user; Audit monitoring unit, used to monitor user activities in real time, record logs and conduct regular audits.

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