Communication training scheme generation method based on capability atlas

Abstract

The invention discloses a communication training scheme generation method based on a capability atlas, and relates to the technical field of communication training, and the method comprises the steps: obtaining a comprehensive capability index of a trainee in each communication training, carrying out the analysis and calculation, obtaining a capability gap index of the trainee, and generating a capability gap list of the trainee according to the capability gap index; according to the comprehensive ability index of the trainee in each communication training and the ability gap index of the trainee, carrying out analysis and judgment, generating a personalized training scheme, and sending the personalized training scheme to the trainee terminal; according to the method, the calculation model of the capability gap index is introduced, the capability short plate on each training dimension is automatically identified and quantified based on the preset capability threshold value, and the capability gap list sorted according to the gap size is generated, so that the determination of the training key point is converted into data driving from experience-dependent judgment; it is ensured that training resources are preferentially projected to the field urgently needing lifting, and the training pertinence and efficiency are remarkably improved.

Description

Technical Field

[0001] This invention relates to the field of communication training technology, and in particular to a method for generating communication training schemes based on capability graphs. Background Technology

[0002] In today's rapidly developing field of communication technology, communication training is playing an increasingly crucial role as an important way to improve the professional skills and practical abilities of communication personnel. Communication training not only covers multiple dimensions such as theoretical learning, single equipment operation training, equipment networking operation, network anti-interference training, network planning training, and fault analysis and troubleshooting training, but also requires trainees to have efficient and accurate communication networking and anti-interference capabilities in complex and ever-changing electromagnetic environments.

[0003] However, traditional communication training methods often focus on a unified syllabus and standardized training procedures, making it difficult to accurately match the actual skill levels and job requirements of different trainees. On the one hand, it ignores individual differences among trainees, leading to a mismatch between training content and trainees' actual abilities, thus affecting training effectiveness. On the other hand, traditional training methods lack the ability to accurately identify trainees' skill gaps and develop personalized training plans, causing trainees to be unable to effectively complete complex and ever-changing communication tasks due to skill deficiencies. Therefore, traditional communication training methods can no longer meet the diverse and personalized skill requirements of modern communication positions, and there is an urgent need to introduce more scientific and efficient training program generation methods.

[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to address the problem that traditional communication training methods often focus on a unified syllabus and standardized training process, making it difficult to accurately match the actual ability level and job requirements of different trainees. On the one hand, it ignores the individual differences among trainees, resulting in a mismatch between training content and trainees' actual abilities, which affects the training effect. On the other hand, traditional training methods lack the ability to accurately identify trainees' skill gaps and develop personalized training plans, making it difficult for trainees to effectively complete complex and ever-changing communication tasks due to their skill deficiencies.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a communication training scheme generation method based on capability graphs, comprising the following steps:

[0007] Step 1: Based on the requirements of communication positions, construct a multi-dimensional radar capability map for communication training, and establish sub-capability items under each communication training dimension;

[0008] Step 2: Collect performance characteristic data of trainees in each communication training sub-capability item, analyze and calculate to obtain the comprehensive capability index of trainees in each communication training, use the comprehensive capability index as the capability score of trainees, mark it on the radar capability map, and intuitively display the capability distribution of trainees.

[0009] Step 3: Obtain the comprehensive ability index of trainees in each communication training session, analyze and calculate it to obtain the trainees' ability gap index, and generate a list of trainees' ability gaps based on the ability gap index.

[0010] Step 4: Based on the trainees' comprehensive ability index and ability gap index in each communication training session, conduct analysis and judgment, generate personalized training plans, and send them to the trainees' terminals.

[0011] Furthermore, the communication training includes theoretical learning, single equipment operation training, equipment networking operation, networking anti-interference training, network planning training, and fault analysis and troubleshooting training.

[0012] Furthermore, the calculation process for the comprehensive ability index in the communication training of trainees is as follows:

[0013] S11. Obtain and analyze the performance characteristic data of sub-capability items in communication training.

[0014] S12. Calculate the comprehensive ability index of trainees in communication training according to the following formula. : ,in, The number of sub-capability terms in communication training. For the first The weighting coefficients of each sub-ability item For the first Performance characteristic values ​​of each sub-ability item;

[0015] S13. Calculate the overall competence score of trainees by weighted summation. : ,in, This represents the total number of training items in communication training. For the first The weight coefficients for each communication training, For the first The comprehensive ability index of communication training, and the overall ability score are used to comprehensively reflect the comprehensive communication skills of trainees.

[0016] Furthermore, the calculation process for the trainees' competency gap index is as follows:

[0017] S21. Obtain the comprehensive ability index and preset comprehensive ability threshold data of trainees in various communication training sessions, and perform analysis and calculation.

[0018] S22. Calculate the trainee's competency gap index using the following formula. : ,in, This is a comprehensive ability index for trainees in communication training. The preset comprehensive ability threshold for communication training of trainees, when At that time, the capacity gap index This indicates that the trainee's communication skills meet the job requirements.

[0019] S23, when At that time, the capacity gap index If the value of the capability gap index is high, it indicates that the trainee's communication skills do not meet the job requirements and there is a capability gap. The higher the value of the capability gap index, the greater the capability gap of the trainee, and the more necessary it is to develop a personalized training plan to improve the trainee's communication skills.

[0020] Furthermore, the performance characteristic data is obtained by collecting data on the trainees' operation completion time, operation accuracy, fault handling response speed, network anti-interference success rate, and network planning rationality, and then performing characteristic processing on these data. The weight coefficients of the sub-capability items are... Weight coefficients for communication training All are based on the core competency requirements for communication positions, dynamically adjusted in conjunction with industry expert review opinions and historical training effectiveness data, and meet the following requirements. , The normalization requirement.

[0021] Furthermore, the process of generating personalized training programs involves: based on the competency gap index... The values ​​are sorted from largest to smallest, and training is prioritized for the training item with the largest capability gap. For each training item with a capability gap, the performance feature values ​​of that training item are prioritized. The lowest level of training sub-items, if the overall ability score Below the preset overall capability threshold This increases the training time for basic training items, ultimately generating a personalized training plan that includes the name of the training item, training time, training order, and assessment criteria.

[0022] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0023] This communication training scheme generation method based on capability mapping constructs a multi-dimensional radar capability map and collects performance characteristic values ​​of sub-capability items in various training dimensions such as theoretical learning, single equipment operation, and network anti-interference. It can quantitatively evaluate the comprehensive capability index and clearly mark it on the map, thus intuitively revealing the distribution of individual capabilities and their strengths and weaknesses, overcoming the shortcomings of traditional uniform training models that ignore individual differences. Furthermore, by introducing a capability gap index calculation model, it automatically identifies and quantifies capability shortcomings in each training dimension based on preset capability thresholds, generating a capability gap list sorted by gap size. This transforms the determination of training focus from experience-based judgment to data-driven approaches, ensuring that training resources are prioritized for areas urgently needing improvement, significantly enhancing training relevance and efficiency. Simultaneously, this method dynamically calculates the overall capability score using a weighted summation formula and compares it with an overall threshold. This not only achieves overall control over the comprehensive job capabilities of trainees but also automatically adjusts training duration and the proportion of basic training when basic capabilities are insufficient, thus ensuring the systematic nature and adaptability of the training scheme. Furthermore, thanks to its deep integration with communication simulation training systems and electromagnetic environment generation and sensing systems, it can directly utilize real-time data such as operation time, accuracy, and anti-interference success rate generated in actual and simulated training for feature analysis. This allows capability assessment and scheme generation to closely align with the actual combat requirements in complex electromagnetic environments, effectively promoting seamless integration between training and actual combat. Attached Figure Description

[0024] Figure 1 A schematic diagram of the method flow of the present invention is shown;

[0025] Figure 2 A schematic diagram of the communication simulation training system of the present invention is shown;

[0026] Figure 3 A schematic diagram of the electromagnetic environment generation and sensing system of the present invention is shown. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example:

[0029] like Figures 1-3As shown, the communication training scheme generation method based on capability graph involves communication personnel first conducting simulated training in a communication simulation training system, and then conducting practical training using communication equipment. During practical training, communication networking training needs to be conducted in a complex electromagnetic environment. The required electromagnetic environment is generated by an electromagnetic environment generation device, and communication personnel conduct anti-interference training for communication networking based on the battlefield electromagnetic environment sensed by the electromagnetic environment sensing device.

[0030] The communication simulation training system consists of semi-physical simulators for various switching equipment, semi-physical simulators for various channel transmission equipment, software simulators for various switching equipment (using software to simulate communication equipment), software simulators for various channel transmission equipment, communication control software, training planning and evaluation software, communication electromagnetic environment generation software, and communication electromagnetic environment sensing software. The semi-physical simulators are identical in appearance and operation to the actual communication equipment, while the software simulators use software to simulate the communication equipment. Communication personnel can conduct theoretical learning, single-device operation training, inter-device networking training, networking training in complex electromagnetic environments, and fault analysis and troubleshooting training within the simulation training system. Training managers develop training plans based on the job competency map, generating training schemes. Trainees then conduct theoretical learning, single-device operation training, inter-device networking training, networking training in complex electromagnetic environments, and fault analysis and troubleshooting training according to the training schemes. The communication control software performs logical judgments on all operations to determine their correctness. The communication electromagnetic environment generation software simulates and generates complex battlefield electromagnetic environments, while the communication electromagnetic environment sensing software simulates and senses the battlefield electromagnetic environment. Trainees then conduct communication networking and anti-interference training based on the sensed battlefield electromagnetic environment.

[0031] The electromagnetic environment generation equipment's control system is configured to generate multi-frequency communication interference signals for specific scenarios. These signals are then radiated into space via antennas operating on multiple frequency bands. The control system can display the generated interference signals in two-dimensional and three-dimensional formats. Electromagnetic environment sensing equipment detects electromagnetic signals on the battlefield and transmits them to the control system. The control system then generates a comprehensive battlefield electromagnetic environment, which is displayed in two-dimensional and three-dimensional formats. Trainees conduct anti-interference training for communication equipment based on the perceived battlefield electromagnetic environment. Communication between the control system and the electromagnetic generation and sensing equipment can be wired or wireless.

[0032] Then, based on the requirements of communication positions, a multi-dimensional radar capability map for communication training is constructed, with sub-capability items established under each communication training dimension. Through the aforementioned communication training, performance characteristic value data of trainees in each communication training sub-capability item are collected, analyzed, and calculated to obtain the comprehensive capability index of trainees in each communication training. The comprehensive capability index is used as the trainee's capability score and marked on the radar capability map to intuitively display the trainee's capability distribution. It should be noted that communication training includes theoretical learning (including communication principles and protocol specifications sub-projects), single equipment operation training (including equipment start-up and shutdown, parameter configuration sub-projects), equipment networking operation (including network topology construction, link configuration sub-projects), network anti-interference training (including anti-interference algorithm application, interference avoidance sub-projects), network planning training (including frequency band allocation, resource scheduling sub-projects), and fault analysis and troubleshooting training (including fault location, repair operation sub-projects).

[0033] The calculation process for the comprehensive ability index in communication training for trainees is as follows:

[0034] S11. Obtain and analyze the performance characteristic data of sub-capability items in communication training.

[0035] S12. Calculate the comprehensive ability index of trainees in communication training according to the following formula. : ,in, The number of sub-capability terms in communication training. For the first The weighting coefficients of each sub-ability item For the first Performance characteristic values ​​of each sub-ability item;

[0036] S13. Calculate the overall competence score of trainees by weighted summation. : ,in, The total number of training items for communication training is 6. For the first The weight coefficients for each communication training, For the first The comprehensive ability index of communication training, and the overall ability score are used to comprehensively reflect the comprehensive communication skills of trainees.

[0037] Next, the comprehensive ability index of the trainees in each communication training is obtained, analyzed and calculated to obtain the trainees' ability gap index, and a list of trainees' ability gaps is generated based on the ability gap index.

[0038] The calculation process for the trainees' competency gap index is as follows:

[0039] S21. Obtain the comprehensive ability index and preset comprehensive ability threshold data of trainees in various communication training sessions, and perform analysis and calculation.

[0040] S22. Calculate the trainee's competency gap index using the following formula. : ,in, This is a comprehensive ability index for trainees in communication training. The preset comprehensive ability threshold for communication training of trainees, when At that time, the capacity gap index This indicates that the trainee's communication skills meet the job requirements.

[0041] S23, when At that time, the capacity gap index This indicates that the trainee's communication skills do not meet the job requirements, indicating a skill gap. The larger the skill gap index, the greater the skill gap, requiring a personalized training plan to improve the trainee's communication skills. It should be noted that the performance characteristic data is obtained by collecting data on trainees' operation completion time, operation accuracy, fault handling response speed, network anti-interference success rate, and network planning rationality, and then performing characteristic processing on this data. The weight coefficients of the sub-capability items... Weight coefficients for communication training All are based on the core competency requirements for communication positions, dynamically adjusted in conjunction with industry expert review opinions and historical training effectiveness data, and meet the following requirements. , The normalization requirement.

[0042] Finally, based on the trainees' comprehensive ability index and ability gap index in each communication training session, an analysis and judgment are made to generate personalized training plans, which are then sent to the trainees' terminals.

[0043] The process of generating personalized training programs is as follows: based on the competency gap index... The values ​​are sorted from largest to smallest, and training is prioritized for the training item with the largest capability gap. For each training item with a capability gap, the performance feature values ​​of that training item are prioritized. The lowest level of training sub-items, if the overall ability score Below the preset overall capability threshold This increases the training time for basic training items (such as theoretical learning and single equipment operation), ultimately generating a personalized training plan that includes the name of the training item, training time, training order, and assessment criteria.

[0044] This invention constructs a multi-dimensional radar capability map and collects performance characteristics of trainees in sub-capability items across training dimensions such as theoretical learning, single-equipment operation, and network anti-interference. This allows for the quantitative assessment of their comprehensive capability index, clearly marked on the map, thus intuitively revealing individual capability distribution and strengths / weaknesses, overcoming the shortcomings of traditional uniform training models that ignore individual differences. Furthermore, by introducing a capability gap index calculation model, it automatically identifies and quantifies capability shortcomings in each training dimension based on preset capability thresholds, generating a capability gap list sorted by gap size. This transforms the determination of training priorities from experience-based judgment to data-driven approaches, ensuring that training resources are prioritized for areas urgently needing improvement, significantly enhancing training relevance and efficiency. Simultaneously, this method dynamically calculates the overall capability score using a weighted summation formula and compares it with an overall threshold. This not only achieves comprehensive control over the trainees' job-specific capabilities but also automatically adjusts training duration and the proportion of basic training when basic capabilities are insufficient, ensuring the systematic nature and adaptability of the training program. Furthermore, thanks to its deep integration with communication simulation training systems and electromagnetic environment generation and sensing systems, it can directly utilize real-time data such as operation time, accuracy, and anti-interference success rate generated in actual and simulated training for feature analysis. This allows capability assessment and scheme generation to closely align with the actual combat requirements in complex electromagnetic environments, effectively promoting seamless integration between training and actual combat.

[0045] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.

[0046] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0047] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for generating communication training schemes based on capability graphs, characterized in that, Includes the following steps: Step 1: Based on the requirements of communication positions, construct a multi-dimensional radar capability map for communication training, and establish sub-capability items under each communication training dimension; Step 2: Collect performance characteristic data of trainees in each communication training sub-capability item, analyze and calculate to obtain the comprehensive capability index of trainees in each communication training, use the comprehensive capability index as the capability score of trainees, mark it on the radar capability map, and intuitively display the capability distribution of trainees. Step 3: Obtain the comprehensive ability index of trainees in each communication training session, analyze and calculate it to obtain the trainees' ability gap index, and generate a list of trainees' ability gaps based on the ability gap index. Step 4: Based on the trainees' comprehensive ability index and ability gap index in each communication training session, conduct analysis and judgment, generate personalized training plans, and send them to the trainees' terminals.

2. The communication training scheme generation method based on capability graphs according to claim 1, characterized in that, The communication training includes theoretical learning, single equipment operation training, equipment networking operation, networking anti-interference training, network planning training, and fault analysis and troubleshooting training.

3. The communication training scheme generation method based on capability graphs according to claim 1, characterized in that, The calculation process for the comprehensive ability index in communication training for trainees is as follows: S11. Obtain and analyze the performance characteristic data of sub-capability items in communication training. S12. Calculate the comprehensive ability index of trainees in communication training according to the following formula. : ,in, The number of sub-capability terms in communication training. For the first The weighting coefficients of each sub-ability item For the first Performance characteristic values ​​of each sub-ability item; S13. Calculate the overall competence score of trainees by weighted summation. : ,in, This represents the total number of training items in communication training. For the first The weight coefficients for each communication training, For the first The comprehensive ability index of communication training, and the overall ability score are used to comprehensively reflect the comprehensive communication skills of trainees.

4. The communication training scheme generation method based on capability graphs according to claim 1, characterized in that, The calculation process for the trainees' competency gap index is as follows: S21. Obtain the comprehensive ability index and preset comprehensive ability threshold data of trainees in various communication training sessions, and perform analysis and calculation. S22. Calculate the trainee's competency gap index using the following formula. : ,in, This is a comprehensive ability index for trainees in communication training. The preset comprehensive ability threshold for communication training of trainees, when At that time, the capacity gap index This indicates that the trainee's communication skills meet the job requirements. S23, when At that time, the capacity gap index If the value of the ability gap index is high, it indicates that the trainee's communication training ability does not meet the job requirements and there is a capability gap. The higher the value of the trainee's capability gap index, the greater the capability gap, and the more necessary it is to develop a personalized training plan to improve the trainee's communication training ability.

5. The communication training scheme generation method based on capability graphs according to claim 1, characterized in that, The performance characteristic data is obtained by collecting data on the trainees' operation completion time, operation accuracy, fault handling response speed, network anti-interference success rate, and network planning rationality, and then performing characteristic processing on the data. The weight coefficients of the sub-capability items are also included. Weight coefficients for communication training All are based on the core competency requirements for communication positions, dynamically adjusted in conjunction with industry expert review opinions and historical training effectiveness data, and meet the following requirements. , The normalization requirement.

6. The communication training scheme generation method based on capability graphs according to claim 1, characterized in that, The process of generating personalized training programs is as follows: based on the competency gap index... The values ​​are sorted from largest to smallest, and training is prioritized for the training item with the largest capability gap. For each training item with a capability gap, the performance feature values ​​of that training item are prioritized. The lowest level of training sub-items, if the overall ability score Below the preset overall capability threshold This increases the training time for basic training items, ultimately generating a personalized training plan that includes the name of the training item, training time, training order, and assessment criteria.

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