Data collection and multi-modal individual soldier communication method based on critical special scenarios

Abstract

The present invention relates to a data collection and multi-modal individual communication method based on critical special scenarios, and belongs to the field of communication equipment control technology. The present invention evaluates and analyzes the communication characteristic data of each communication mode under the current critical special scenario, obtains the communication mode that meets the communication requirements and the communication mode that does not meet the communication requirements, and finally obtains the communication requirement information of the communication device, and determines the communication mode or the combination of communication modes according to the communication requirement information of the communication device and the communication mode that meets the communication requirements, and communicates according to the communication mode or the combination of communication modes. The present invention dynamically adjusts the communication mode or the combination of communication modes according to the communication characteristic data of each communication mode under the current critical special scenario, so that the communication equipment can have a better communication effect in the critical special scenario, improves the communication efficiency of emergency rescue, enables rescue personnel to respond quickly, and realizes multi-modal control.

Description

Technical Field

[0001] The present invention relates to the technical field of communication control methods, and in particular to a data collection and multi-modal individual soldier communication method based on critical special scenarios. Background Art

[0002] Emergency scenes are usually emergency rescue scenes. Emergency events occur suddenly, and the post-disaster rescue work cannot be carried out without accurate data collection and uploading on site and efficient issuance of rescue orders from the command center. However, due to the particularity of emergency communications, the communication facilities in the disaster-stricken areas may have been damaged, and the site often faces problems such as complex terrain and insufficient communication equipment. In some disaster areas with complex terrain, emergency vehicles are also difficult to enter quickly, resulting in the inability to ensure reliable and timely communication in the disaster area. On the other hand, in mountainous forests or urban environments with many buildings, the satellite positioning capabilities of ground rescue personnel are limited, making it difficult to report location information in a timely manner. Due to the development of communication equipment, a communication device already has multiple communication methods. For example, in the case of network, 5G / 4G network communication can be used through ground base stations. In the case of network interruption, DMR intercom / mesh self-organizing network can be used for close distances; for longer distances, through satellites, Tiantong satellite calls / short message communications can be used to ensure that communication functions can be realized with or without a network, building a command and dispatch "central nervous system" for emergency rescue and building a "lifeline" for rescue and self-help for disaster relief. However, when communicating, such communication equipment cannot perform effective communication according to actual environmental data changes and only uses a single mode of communication, and cannot achieve multi-modal communication, which results in low communication effect of the communication equipment and easily delays rescue. Summary of the invention

[0003] The present invention overcomes the deficiencies of the prior art and provides a data collection and multi-modal individual soldier communication method based on critical special scenarios.

[0004] To achieve the above object, the technical solution adopted by the present invention is:

[0005] The first aspect of the present invention provides a data collection and multi-modal individual soldier communication method based on critical special scenarios, comprising:

[0006] Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, and construct a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data;

[0007] Acquire environmental data information under critical special scenarios, and acquire communication characteristic data of each communication mode under the current critical special scenario based on the environmental data information under the critical special scenario and a communication characteristic data prediction model;

[0008] By evaluating and analyzing the communication characteristic data of each communication method under the current critical special scenario, the communication method that meets the communication requirements and the communication method that does not meet the communication requirements are obtained;

[0009] Acquire communication requirement information of a communication device, determine a communication mode or a combination of communication modes according to the communication requirement information of the communication device and a communication mode that meets the communication requirement, and perform communication according to the communication mode or the combination of communication modes.

[0010] Furthermore, in this method, historical communication characteristic data of each communication mode under each environmental characteristic data is obtained, and a communication characteristic data prediction model is constructed according to the historical communication characteristic data of each communication mode under each environmental characteristic data, specifically:

[0011] Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, build a communication characteristic data prediction model based on a deep neural network, and input the historical communication characteristic data of each communication mode under each environmental characteristic data into the communication characteristic data prediction model;

[0012] Taking the environmental characteristic data as the first node, the communication characteristic data as the second node, and the communication method as the third node, a directed description relationship is constructed, and the first node, the second node, and the third node are connected based on the directed description relationship to construct a topological structure diagram;

[0013] Introducing an attention mechanism, inputting the topological structure graph into the attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure graph, and obtaining an attention feature graph;

[0014] The attention feature map is input into the hidden layer, the state of the hidden layer is updated, the model parameters of the communication feature data prediction model are saved, and the communication feature data prediction model is output.

[0015] Furthermore, in this method, environmental data information under critical special scenarios is obtained, and communication characteristic data of each communication mode under the current critical special scenario is obtained according to the environmental data information under the critical special scenario and the communication characteristic data prediction model, specifically:

[0016] Acquire environmental data information under critical and special scenarios, and input the environmental data information under the critical and special scenarios into the communication characteristic data prediction model for data analysis and prediction;

[0017] Through data analysis and prediction, the communication characteristic data of each communication mode in the current critical special scenario is obtained, and the communication characteristic data of each communication mode in the current critical special scenario is output.

[0018] Furthermore, in this method, by evaluating and analyzing the communication characteristic data of each communication method under the current critical special scenario, the communication method that meets the communication requirements and the communication method that does not meet the communication requirements are obtained, specifically:

[0019] Setting a communication characteristic data threshold value, and determining whether the communication characteristic data of each communication mode under the current critical special scenario is greater than the communication characteristic data threshold value;

[0020] When the communication characteristic data is greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data being greater than the communication characteristic data threshold data is used as the communication mode that meets the communication requirements;

[0021] When the communication characteristic data is not greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data not greater than the communication characteristic data threshold data is regarded as a communication mode that does not meet the communication requirement.

[0022] Furthermore, in this method, communication requirement information of a communication device is obtained, and a communication mode or a combination of communication modes is determined according to the communication requirement information of the communication device and a communication mode that meets the communication requirement, and communication is performed according to the communication mode or the combination of communication modes, specifically:

[0023] Acquire communication demand information of the communication device, introduce a particle swarm algorithm, set the number of iterations based on the particle swarm algorithm, and acquire communication characteristic data of a communication method that meets the communication demand;

[0024] The communication requirement information of the communication device is used as a compliance condition, and the communication characteristic data of the communication method that meets the communication requirement is input into the particle swarm algorithm for iteration number iteration;

[0025] Iterate the number of iterations to calculate whether the communication characteristic data of each communication method that meets the communication requirements is greater than the standard condition, and obtain the communication method whose communication characteristic data is greater than the standard condition;

[0026] The communication characteristic data of the communication modes whose communication characteristic data are greater than the standard-reaching condition are sorted to obtain the communication mode with the maximum communication characteristic data, and communication is performed according to the communication mode with the maximum communication characteristic data.

[0027] Furthermore, in this method, the data collection and multi-modal individual soldier communication method based on critical special scenarios also includes:

[0028] After the number of iterations, if there is no communication method that meets the communication requirements and whose communication characteristic data is greater than the standard condition, initialize and randomly select several initial communication methods to form a communication method combination;

[0029] Acquire communication characteristic data of each initial communication mode, collect statistics on the communication characteristic data of each initial communication mode, acquire total communication characteristic data, and determine whether the total communication characteristic data is greater than the communication demand information of the communication device;

[0030] When the total communication characteristic data is greater than the communication requirement information of the communication device, outputting the communication mode combination, and communicating according to the communication mode combination;

[0031] When the total communication characteristic data is not greater than the communication requirement information of the communication device, adjust the communication method and the number of communication methods in the communication method combination until the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication method combination, and communicate according to the communication method combination.

[0032] The second aspect of the present invention provides a data collection and multimodal individual soldier communication system based on critical and special scenarios, including a memory and a processor, wherein the memory includes a data collection and multimodal individual soldier communication method program based on critical and special scenarios, and when the data collection and multimodal individual soldier communication method program based on critical and special scenarios is executed by the processor, any step of the data collection and multimodal individual soldier communication method based on critical and special scenarios is implemented.

[0033] A third aspect of the present invention provides an electronic device, comprising:

[0034] The data acquisition module is responsible for acquiring the historical communication characteristic data of each communication mode under each environmental characteristic data, and constructing a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under the environmental characteristic data;

[0035] The communication characteristic analysis module is responsible for obtaining environmental data information under critical and special scenarios, and obtaining communication characteristic data of each communication mode under the current critical and special scenarios based on the environmental data information under the critical and special scenarios and the communication characteristic data prediction model;

[0036] The communication mode analysis module is responsible for evaluating and analyzing the communication characteristic data of each communication mode under the current critical special scenario to obtain the communication mode that meets the communication requirements and the communication mode that does not meet the communication requirements;

[0037] The multimodal communication module is responsible for obtaining the communication requirement information of the communication device, and determining the communication mode or a combination of communication modes according to the communication requirement information of the communication device and the communication mode that meets the communication requirement, and communicating according to the communication mode or the combination of communication modes.

[0038] The fourth aspect of the present invention provides a computer-readable storage medium, including a data collection and multi-modal individual soldier communication method program based on critical special scenarios. When the data collection and multi-modal individual soldier communication method program based on critical special scenarios is executed by a processor, any step of the data collection and multi-modal individual soldier communication method based on critical special scenarios is implemented.

[0039] The present invention solves the defects existing in the background technology and has the following beneficial effects:

[0040] The present invention obtains historical communication characteristic data of each communication mode under each environmental characteristic data, and constructs a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under the environmental characteristic data, thereby obtaining environmental data information under critical special scenes, and obtaining the communication characteristic data of each communication mode under the current critical special scene according to the environmental data information under the critical special scene and the communication characteristic data prediction model, thereby evaluating and analyzing the communication characteristic data of each communication mode under the current critical special scene, obtaining communication modes that meet communication requirements and communication modes that do not meet communication requirements, and finally obtaining communication requirement information of communication equipment, and determining a communication mode or a combination of communication modes according to the communication requirement information of the communication equipment and the communication mode that meets communication requirements, and communicating according to the communication mode or the combination of communication modes. The present invention dynamically adjusts the communication mode or the combination of communication modes according to the communication characteristic data of each communication mode under the current critical special scene, so that the communication effect of the communication equipment in the critical special scene is better, the communication efficiency of emergency rescue is improved, and rescue personnel respond quickly to achieve multi-modal control. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, drawings of other embodiments can be obtained based on these drawings without paying creative work.

[0042] Figure 1 The overall flow chart of data collection and multi-modal individual soldier communication method based on critical special scenarios is shown;

[0043] Figure 2A partial method flow chart of data collection and multi-modal individual soldier communication method based on critical special scenarios is shown;

[0044] Figure 3 The system block diagram of the data collection and multi-modal individual communication system based on critical special scenarios is shown;

[0045] Figure 4 A device schematic diagram of an electronic device is shown. DETAILED DESCRIPTION

[0046] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0048] like Figure 1 As shown, the first aspect of the present invention provides a data collection and multi-modal individual soldier communication method based on critical special scenarios, including:

[0049] S102: Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, and construct a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data;

[0050] In step S102 of this method, specifically includes:

[0051] Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, build a communication characteristic data prediction model based on a deep neural network, and input the historical communication characteristic data of each communication mode under each environmental characteristic data into the communication characteristic data prediction model;

[0052] Taking the environmental characteristic data as the first node, the communication characteristic data as the second node, and the communication method as the third node, a directed description relationship is constructed, and the first node, the second node, and the third node are connected based on the directed description relationship to construct a topological structure diagram;

[0053] Introducing an attention mechanism, inputting the topological structure graph into the attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure graph, and obtaining an attention feature graph;

[0054] The attention feature map is input into the hidden layer, the state of the hidden layer is updated, the model parameters of the communication feature data prediction model are saved, and the communication feature data prediction model is output.

[0055] It should be noted that the communication method includes using 5G / 4G network communication through ground base stations when there is a network. In the case of network interruption, DMR intercom / mesh self-organizing network can be used for short distances; for longer distances, through satellites, Tiantong satellite calls / short message communications can be used to ensure that communication functions can be realized with or without a network. Since different environmental characteristic data have different effects on communication methods, such as 5G / 4G network communication and mesh self-organizing network communication, by introducing an attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure diagram, it is possible to suppress the interference of multi-scale data on the communication characteristic data prediction model, thereby more accurately predicting the communication characteristic data of emergency rescue scenarios. Environmental data includes temperature, humidity, visibility and other data.

[0056] S104: Acquire environmental data information under a critical special scenario, and acquire communication characteristic data of each communication mode under the current critical special scenario according to the environmental data information under the critical special scenario and a communication characteristic data prediction model;

[0057] In step S104 of this method, it specifically includes:

[0058] Acquire environmental data information under critical and special scenarios, and input the environmental data information under the critical and special scenarios into the communication characteristic data prediction model for data analysis and prediction;

[0059] Through data analysis and prediction, the communication characteristic data of each communication mode in the current critical special scenario is obtained, and the communication characteristic data of each communication mode in the current critical special scenario is output.

[0060] It should be noted that the communication characteristic data includes descriptions such as the amount of information transmitted per unit time, the information transmission rate, and the communication response rate. This method can obtain the communication characteristic data of each communication method under the current emergency scenario, thereby screening out the communication method that meets the communication needs.

[0061] S106: Evaluating and analyzing the communication characteristic data of each communication mode under the current emergency scenario to obtain a communication mode that meets the communication requirements and a communication mode that does not meet the communication requirements;

[0062] In step S106 of this method, it specifically includes:

[0063] Setting a communication characteristic data threshold value, and determining whether the communication characteristic data of each communication mode under the current critical special scenario is greater than the communication characteristic data threshold value;

[0064] When the communication characteristic data is greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data being greater than the communication characteristic data threshold data is used as the communication mode that meets the communication requirements;

[0065] When the communication characteristic data is not greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data not greater than the communication characteristic data threshold data is regarded as a communication mode that does not meet the communication requirement.

[0066] It should be noted that the communication characteristic data threshold data include the information transmission volume threshold within unit time, the information transmission rate threshold, the communication response rate threshold, etc., but are not limited to the content in this method, and can also be other descriptions, such as communication delay, bit error rate, etc. When it is communication delay and bit error rate, at this time, when the communication characteristic data is greater than the communication characteristic data threshold data, it is a communication method that does not meet the communication requirements, otherwise it is a communication method that meets the communication requirements. It should be set according to the actual type of threshold setting.

[0067] S108: Acquire communication requirement information of the communication device, determine a communication method or a combination of communication methods according to the communication requirement information of the communication device and a communication method that meets the communication requirement, and communicate according to the communication method or the combination of communication methods.

[0068] Furthermore, in this method, communication requirement information of a communication device is obtained, and a communication mode or a combination of communication modes is determined according to the communication requirement information of the communication device and a communication mode that meets the communication requirement, and communication is performed according to the communication mode or the combination of communication modes, specifically:

[0069] Acquire communication demand information of the communication device, introduce a particle swarm algorithm, set the number of iterations based on the particle swarm algorithm, and acquire communication characteristic data of a communication method that meets the communication demand;

[0070] The communication requirement information of the communication device is used as a compliance condition, and the communication characteristic data of the communication method that meets the communication requirement is input into the particle swarm algorithm for iteration number iteration;

[0071] Iterate the number of iterations to calculate whether the communication characteristic data of each communication method that meets the communication requirements is greater than the standard condition, and obtain the communication method whose communication characteristic data is greater than the standard condition;

[0072] The communication characteristic data of the communication modes whose communication characteristic data are greater than the standard-reaching condition are sorted to obtain the communication mode with the maximum communication characteristic data, and communication is performed according to the communication mode with the maximum communication characteristic data.

[0073] It should be noted that when the communication characteristic data of the communication mode that meets the communication requirements is greater than the standard condition, it means that the communication is normal, otherwise, the communication is abnormal. This method can select the optimal communication mode for the communication device.

[0074] like Figure 2 As shown, further, in this method, the data collection and multi-modal individual communication method based on critical special scenes also includes:

[0075] S202: after the iteration number is reached, if there is no communication method that meets the communication requirement and whose communication characteristic data is greater than the standard condition, then initialize and randomly select a number of initial communication methods to form a communication method combination;

[0076] S204: Acquire communication characteristic data of each initial communication mode, count the communication characteristic data of each initial communication mode, acquire total communication characteristic data, and determine whether the total communication characteristic data is greater than the communication demand information of the communication device;

[0077] S206: When the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication mode combination, and communicate according to the communication mode combination;

[0078] S208: When the total communication characteristic data is not greater than the communication requirement information of the communication device, adjust the communication method and the number of communication methods in the communication method combination until the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication method combination, and communicate according to the communication method combination.

[0079] It should be noted that the communication demand information of the communication equipment includes data such as the amount of information transmitted per unit time and the information transmission rate. Through this method, multiple modes can be selected for joint communication to achieve multi-modal control, which can not only maintain the quality of communication, but also improve the communication efficiency of emergency rescue, allowing rescue personnel to respond quickly.

[0080] To sum up, the present invention dynamically adjusts the communication mode or combination of communication modes according to the communication characteristic data of each communication mode in the current emergency scenario, so that the communication equipment can have better communication effect in emergency scenarios, improve the communication efficiency of emergency rescue, enable rescue personnel to respond quickly, and realize multimodal control.

[0081] In addition, the method further comprises:

[0082] Acquire weather change characteristic data of the target area within a preset time, and acquire predicted environmental change characteristic data of the target area within the preset time based on the weather change characteristic data of the target area within the preset time;

[0083] Predicting through the predicted environmental change characteristic data of the target area within a preset time, obtaining the communication performance characteristic data of the communication device under each communication mode, and determining whether the communication performance characteristic data is greater than a communication performance characteristic data threshold;

[0084] When the communication performance characteristic data is greater than the communication performance characteristic data threshold, the corresponding time period is used as the optimal communication time period for the communication device, and recommendation information is generated, and the recommendation information is displayed in a preset manner;

[0085] When the communication performance characteristic data is not greater than the communication performance characteristic data threshold, the corresponding time period is not used as the working time period of the communication device.

[0086] It should be noted that, due to the ever-changing emergency environment, this method can further recommend the best time period for action.

[0087] In addition, the method may further include:

[0088] Collecting environmental characteristic data of each area in the target area, and predicting communication performance characteristic data of each area in the target area according to the environmental characteristic data of each area in the target area;

[0089] Determining whether the communication performance characteristic data in each area of ​​the target area is greater than a communication performance characteristic data threshold;

[0090] When the communication performance characteristic data in each area of ​​the target area is greater than the communication performance characteristic data threshold, the geographical location information of the corresponding area is obtained, and an emergency action route is constructed according to the geographical location information of the corresponding area, and the emergency action route is displayed in a preset manner;

[0091] When the communication performance characteristic data in each area of ​​the target area is not greater than the communication performance characteristic data threshold, the corresponding area position is used as a communication warning area, and the communication warning area is displayed in a preset manner.

[0092] It should be noted that this method can further improve the rationality of emergency actions and keep emergency action communications unimpeded.

[0093] like Figure 3As shown, the second aspect of the present invention provides a data collection and multimodal individual soldier communication system 3 based on critical special scenarios, including a memory 31 and a processor 32, wherein the memory 31 includes a data collection and multimodal individual soldier communication method program based on critical special scenarios, and when the data collection and multimodal individual soldier communication method program based on critical special scenarios is executed by the processor 32, any step of the data collection and multimodal individual soldier communication method based on critical special scenarios is implemented.

[0094] like Figure 4 As shown, the third aspect of the present invention provides an electronic device, including:

[0095] The data acquisition module 10 is responsible for acquiring the historical communication characteristic data of each communication mode under each environmental characteristic data, and constructing a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data;

[0096] The communication characteristic analysis module 20 is responsible for obtaining environmental data information under critical special scenarios, and obtaining communication characteristic data of each communication mode under the current critical special scenario based on the environmental data information under the critical special scenario and the communication characteristic data prediction model;

[0097] The communication mode analysis module 30 is responsible for evaluating and analyzing the communication characteristic data of each communication mode under the current emergency scenario to obtain the communication mode that meets the communication requirements and the communication mode that does not meet the communication requirements;

[0098] The multimodal communication module 40 is responsible for obtaining the communication requirement information of the communication device, determining the communication mode or a combination of communication modes according to the communication requirement information of the communication device and the communication mode that meets the communication requirement, and performing communication according to the communication mode or the combination of communication modes.

[0099] Furthermore, in this device, historical communication characteristic data of each communication mode under each environmental characteristic data is obtained, and a communication characteristic data prediction model is constructed according to the historical communication characteristic data of each communication mode under the environmental characteristic data, specifically:

[0100] Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, build a communication characteristic data prediction model based on a deep neural network, and input the historical communication characteristic data of each communication mode under each environmental characteristic data into the communication characteristic data prediction model;

[0101] Taking the environmental characteristic data as the first node, the communication characteristic data as the second node, and the communication method as the third node, a directed description relationship is constructed, and the first node, the second node, and the third node are connected based on the directed description relationship to construct a topological structure diagram;

[0102] Introducing an attention mechanism, inputting the topological structure graph into the attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure graph, and obtaining an attention feature graph;

[0103] The attention feature map is input into the hidden layer, the state of the hidden layer is updated, the model parameters of the communication feature data prediction model are saved, and the communication feature data prediction model is output.

[0104] Furthermore, in this device, environmental data information under critical special scenarios is obtained, and communication characteristic data of each communication mode under the current critical special scenario is obtained according to the environmental data information under the critical special scenario and the communication characteristic data prediction model, specifically:

[0105] Acquire environmental data information under critical and special scenarios, and input the environmental data information under the critical and special scenarios into the communication characteristic data prediction model for data analysis and prediction;

[0106] Through data analysis and prediction, the communication characteristic data of each communication mode in the current critical special scenario is obtained, and the communication characteristic data of each communication mode in the current critical special scenario is output.

[0107] Furthermore, in this device, by evaluating and analyzing the communication characteristic data of each communication mode under the current critical special scenario, the communication mode that meets the communication requirements and the communication mode that does not meet the communication requirements are obtained, specifically:

[0108] Setting a communication characteristic data threshold value, and determining whether the communication characteristic data of each communication mode under the current critical special scenario is greater than the communication characteristic data threshold value;

[0109] When the communication characteristic data is greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data being greater than the communication characteristic data threshold data is used as the communication mode that meets the communication requirements;

[0110] When the communication characteristic data is not greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data not greater than the communication characteristic data threshold data is regarded as a communication mode that does not meet the communication requirement.

[0111] Further, in this device, the communication requirement information of the communication device is obtained, and a communication mode or a combination of communication modes is determined according to the communication requirement information of the communication device and a communication mode that meets the communication requirement, and communication is performed according to the communication mode or the combination of communication modes, specifically:

[0112] Acquire communication demand information of the communication device, introduce a particle swarm algorithm, set the number of iterations based on the particle swarm algorithm, and acquire communication characteristic data of a communication method that meets the communication demand;

[0113] The communication requirement information of the communication device is used as a compliance condition, and the communication characteristic data of the communication method that meets the communication requirement is input into the particle swarm algorithm for iteration number iteration;

[0114] Iterate the number of iterations to calculate whether the communication characteristic data of each communication method that meets the communication requirements is greater than the standard condition, and obtain the communication method whose communication characteristic data is greater than the standard condition;

[0115] The communication characteristic data of the communication modes whose communication characteristic data are greater than the standard-reaching condition are sorted to obtain the communication mode with the maximum communication characteristic data, and communication is performed according to the communication mode with the maximum communication characteristic data.

[0116] Furthermore, in this device, the data collection and multi-modal individual communication method based on critical special scenarios also includes:

[0117] After the number of iterations, if there is no communication method that meets the communication requirements and whose communication characteristic data is greater than the standard condition, initialize and randomly select several initial communication methods to form a communication method combination;

[0118] Acquire communication characteristic data of each initial communication mode, collect statistics on the communication characteristic data of each initial communication mode, acquire total communication characteristic data, and determine whether the total communication characteristic data is greater than the communication demand information of the communication device;

[0119] When the total communication characteristic data is greater than the communication requirement information of the communication device, outputting the communication mode combination, and communicating according to the communication mode combination;

[0120] When the total communication characteristic data is not greater than the communication requirement information of the communication device, adjust the communication method and the number of communication methods in the communication method combination until the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication method combination, and communicate according to the communication method combination.

[0121] The fourth aspect of the present invention provides a computer-readable storage medium, including a data collection and multi-modal individual soldier communication method program based on critical special scenarios. When the data collection and multi-modal individual soldier communication method program based on critical special scenarios is executed by a processor, any step of the data collection and multi-modal individual soldier communication method based on critical special scenarios is implemented.

[0122] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0123] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0124] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0125] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: a mobile storage device, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0126] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0127] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. Data collection and multi-modal individual soldier communication method based on critical special scenarios, characterized in that: include: Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, and construct a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data; Acquire environmental data information under critical special scenarios, and acquire communication characteristic data of each communication mode under the current critical special scenario based on the environmental data information under the critical special scenario and a communication characteristic data prediction model; By evaluating and analyzing the communication characteristic data of each communication method under the current critical special scenario, the communication method that meets the communication requirements and the communication method that does not meet the communication requirements are obtained; Acquire communication requirement information of a communication device, determine a communication method or a combination of communication methods according to the communication requirement information of the communication device and a communication method that meets the communication requirement, and communicate according to the communication method or the combination of communication methods; Obtain historical communication characteristic data of each communication mode under each environmental characteristic data, and construct a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data, specifically: Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, build a communication characteristic data prediction model based on a deep neural network, and input the historical communication characteristic data of each communication mode under each environmental characteristic data into the communication characteristic data prediction model; Taking environmental feature data as the first node, historical communication feature data as the second node, and communication mode as the third node, a directed description relationship is constructed, and the first node, the second node, and the third node are connected based on the directed description relationship to construct a topological structure diagram; Introducing an attention mechanism, inputting the topological structure graph into the attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure graph, and obtaining an attention feature graph; Inputting the attention feature map into a hidden layer, updating the state of the hidden layer, saving the model parameters of the communication feature data prediction model, and outputting the communication feature data prediction model; Acquire communication requirement information of a communication device, determine a communication method or a combination of communication methods according to the communication requirement information of the communication device and a communication method that meets the communication requirement, and communicate according to the communication method or the combination of communication methods, specifically: Acquire communication demand information of the communication device, introduce a particle swarm algorithm, set the number of iterations based on the particle swarm algorithm, and acquire communication characteristic data of a communication method that meets the communication demand; The communication requirement information of the communication device is used as a compliance condition, and the communication characteristic data of the communication mode that meets the communication requirement is input into the particle swarm algorithm for iteration number iteration; Iterate the number of iterations to calculate whether the communication characteristic data of each communication method that meets the communication requirements is greater than the standard condition, and obtain the communication method whose communication characteristic data is greater than the standard condition; By sorting the communication characteristic data of the communication modes whose communication characteristic data are greater than the standard-reaching condition, the communication mode with the maximum communication characteristic data is obtained, and communication is performed according to the communication mode with the maximum communication characteristic data; Also includes: After the number of iterations, if there is no communication method that meets the communication requirements and whose communication characteristic data is greater than the standard condition, initialize and randomly select several initial communication methods to form a communication method combination; Acquire communication characteristic data of each initial communication mode, collect statistics on the communication characteristic data of each initial communication mode, acquire total communication characteristic data, and determine whether the total communication characteristic data is greater than the communication demand information of the communication device; When the total communication characteristic data is greater than the communication requirement information of the communication device, outputting the communication mode combination, and communicating according to the communication mode combination; When the total communication characteristic data is not greater than the communication requirement information of the communication device, adjust the communication method and the number of communication methods in the communication method combination until the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication method combination, and communicate according to the communication method combination.

2. The method for data collection and multi-modal individual communication based on critical special scenarios according to claim 1 is characterized in that: Obtain environmental data information under critical special scenarios, and obtain communication characteristic data of each communication mode under the current critical special scenario according to the environmental data information under the critical special scenario and the communication characteristic data prediction model, specifically: Acquire environmental data information under critical and special scenarios, and input the environmental data information under the critical and special scenarios into the communication characteristic data prediction model for data analysis and prediction; Through data analysis and prediction, the communication characteristic data of each communication mode in the current critical special scenario is obtained, and the communication characteristic data of each communication mode in the current critical special scenario is output.

3. The method for data collection and multi-modal individual soldier communication based on critical special scenarios according to claim 1 is characterized in that: By evaluating and analyzing the communication characteristic data of each communication method under the current critical special scenario, the communication methods that meet the communication requirements and the communication methods that do not meet the communication requirements are obtained, specifically: Setting a communication characteristic data threshold value, and determining whether the communication characteristic data of each communication mode under the current critical special scenario is greater than the communication characteristic data threshold value; When the communication characteristic data is greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data being greater than the communication characteristic data threshold data is used as the communication mode that meets the communication requirements; When the communication characteristic data is not greater than the communication characteristic data threshold data, the communication mode corresponding to the communication characteristic data not greater than the communication characteristic data threshold data is regarded as a communication mode that does not meet the communication requirement.

4. Data collection and multi-modal individual communication system based on critical special scenarios, characterized by: It includes a memory and a processor, wherein the memory includes a data collection and multimodal individual soldier communication method program based on critical special scenarios, and when the data collection and multimodal individual soldier communication method program based on critical special scenarios is executed by the processor, the steps of the data collection and multimodal individual soldier communication method based on critical special scenarios as described in any one of claims 1 to 3 are implemented.

5. An electronic device, characterized in that: include: The data acquisition module is responsible for acquiring the historical communication characteristic data of each communication mode under each environmental characteristic data, and constructing a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under the environmental characteristic data; The communication characteristic analysis module is responsible for obtaining environmental data information under critical and special scenarios, and obtaining communication characteristic data of each communication mode under the current critical and special scenarios based on the environmental data information under the critical and special scenarios and the communication characteristic data prediction model; The communication mode analysis module is responsible for evaluating and analyzing the communication characteristic data of each communication mode under the current critical special scenario to obtain the communication mode that meets the communication requirements and the communication mode that does not meet the communication requirements; The multimodal communication module is responsible for obtaining the communication requirement information of the communication device, and determining the communication mode or the combination of communication modes according to the communication requirement information of the communication device and the communication mode that meets the communication requirement, and performing communication according to the communication mode or the combination of communication modes; Obtain historical communication characteristic data of each communication mode under each environmental characteristic data, and construct a communication characteristic data prediction model according to the historical communication characteristic data of each communication mode under each environmental characteristic data, specifically: Acquire historical communication characteristic data of each communication mode under each environmental characteristic data, build a communication characteristic data prediction model based on a deep neural network, and input the historical communication characteristic data of each communication mode under each environmental characteristic data into the communication characteristic data prediction model; Taking environmental feature data as the first node, historical communication feature data as the second node, and communication mode as the third node, a directed description relationship is constructed, and the first node, the second node, and the third node are connected based on the directed description relationship to construct a topological structure diagram; Introducing an attention mechanism, inputting the topological structure graph into the attention mechanism, focusing attention on the first node, the second node, and the third node in the topological structure graph, and obtaining an attention feature graph; Inputting the attention feature map into a hidden layer, updating the state of the hidden layer, saving the model parameters of the communication feature data prediction model, and outputting the communication feature data prediction model; Acquire communication requirement information of a communication device, determine a communication method or a combination of communication methods according to the communication requirement information of the communication device and a communication method that meets the communication requirement, and communicate according to the communication method or the combination of communication methods, specifically: Acquire communication demand information of the communication device, introduce a particle swarm algorithm, set the number of iterations based on the particle swarm algorithm, and acquire communication characteristic data of a communication method that meets the communication demand; The communication requirement information of the communication device is used as a compliance condition, and the communication characteristic data of the communication method that meets the communication requirement is input into the particle swarm algorithm for iteration number iteration; Iterate the number of iterations to calculate whether the communication characteristic data of each communication method that meets the communication requirements is greater than the standard condition, and obtain the communication method whose communication characteristic data is greater than the standard condition; By sorting the communication characteristic data of the communication modes whose communication characteristic data are greater than the standard-reaching condition, the communication mode with the maximum communication characteristic data is obtained, and communication is performed according to the communication mode with the maximum communication characteristic data; Also includes: After the number of iterations, if there is no communication method that meets the communication requirements and whose communication characteristic data is greater than the standard condition, initialize and randomly select several initial communication methods to form a communication method combination; Acquire communication characteristic data of each initial communication mode, collect statistics on the communication characteristic data of each initial communication mode, acquire total communication characteristic data, and determine whether the total communication characteristic data is greater than the communication demand information of the communication device; When the total communication characteristic data is greater than the communication requirement information of the communication device, outputting the communication mode combination, and communicating according to the communication mode combination; When the total communication characteristic data is not greater than the communication requirement information of the communication device, adjust the communication method and the number of communication methods in the communication method combination until the total communication characteristic data is greater than the communication requirement information of the communication device, output the communication method combination, and communicate according to the communication method combination.

6. A computer-readable storage medium, characterized in that: It includes a data collection and multi-modal individual soldier communication method program based on critical special scenarios. When the data collection and multi-modal individual soldier communication method program based on critical special scenarios is executed by a processor, the steps of the data collection and multi-modal individual soldier communication method based on critical special scenarios as described in any one of claims 1-3 are implemented.

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