Offshore platform special operation interactive terminal virtual simulation training teaching method and system

Abstract

The invention discloses an offshore platform special operation interactive terminal virtual simulation training teaching method and system, and the system comprises a safety education module, an immersive teaching module, a teaching management module and an industrial-grade terminal, and all the modules cooperate through a multi-layer architecture. The method comprises the following steps: authenticating an identity through an interaction token, performing virtual platform roaming on a display screen of an industrial-grade interaction terminal, and learning regional safety specifications; selecting a homework type through an interactive screen, completing a practice task in a three-dimensional scene, and verifying operation and feeding back in real time by a system; an approval process is triggered through the interaction token, and the system generates a score and evaluation report according to the operation data; and the teaching management module analyzes the weak link, and pushes customized training content or updates a resource package. According to the invention, the training immersion is improved, and the continuity of marine environment training is guaranteed through a low-bandwidth hot update technology; the AI analysis realizes personalization, optimizes the training quality, and adapts to the harsh working environment.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of application of information technology in education and training, and particularly relates to a virtual simulation training teaching method and system for an offshore platform special operation interactive terminal. BACKGROUND

[0002] The offshore platform special operation involves high-risk scenes such as flammable and explosive environment and limited space operation, and has very high requirements for the safety standard cognition and operation ability of the operation personnel. The traditional training method mainly relies on paper documents, PPT demonstration or on-site demonstration, and the traditional training method has the following obvious defects: immersive experience is missing, the three-dimensional device layout and complex environment (such as heavy rain, disaster) of the offshore platform cannot be truly restored, and the students cannot form spatial cognition and risk prediction ability; the interaction is insufficient, the training process is mainly one-way knowledge infusion, and there is no operation feedback mechanism, and the wrong operation cannot be corrected immediately; the environment adaptability is poor, the network bandwidth of the offshore platform is limited and the stability is low, and the traditional online training system often fails due to resource loading, and the training content cannot be updated in the offline scene; hardware limitation, the existing VR training equipment relies on a head-mounted display terminal, and in the high temperature and high humidity environment of the sea, there are problems such as wearing discomfort and high equipment failure rate, which is difficult to meet the demand of industrial application.

[0003] The actual measurement data of a certain offshore platform shows that, through testing (data source: DNV-RP-A203), the Oculus Quest 2 device has a system crash rate of 23%±2% (N=50) in a 40℃ / 90%RH environment for 4 hours of continuous operation, and the incidence of problems such as lens fogging, key failure and the like caused by salt spray corrosion is more than 45% (data source: “Environmental Adaptability Standard for Offshore Engineering Equipment”); the traditional training method also has problems such as disconnection between the interactive process and the offshore operation specification, and resource loading failure rate >30% in a low bandwidth environment.

[0004] In the prior art, part of the virtual training system attempts to realize scene immersion through a VR helmet, but does not design a lightweight interactive terminal for the special environment of the offshore platform, and lacks resource updating technology in a low bandwidth environment. Therefore, there is an urgent need for a new training system that takes into account immersion, interaction efficiency and environmental adaptability. SUMMARY

[0005] The present application is proposed to solve the problems in the prior art, and the purpose is to provide a virtual simulation training teaching method and system for an offshore platform special operation interactive terminal.

[0006] The present application is realized by the following technical solutions:

[0007] A virtual simulation training teaching system for an offshore platform special operation interactive terminal, comprising:

[0008] A safety education file management module is configured to store and display offshore platform operation specification documents and build a 1:1 scale virtual platform scene for learners to roam and learn;

[0009] An immersive teaching practice and examination module is configured to build a three-dimensional operation environment based on VR technology, simulate device movement, fluid mechanics and environmental interference using a real-time physics engine, and realize task-driven practice and examination;

[0010] A teaching management module is configured to analyze learner operation data based on AI, generate a personalized training plan, and update training resources through hot update technology;

[0011] An industrial-grade interactive terminal is configured for human-computer interaction and identity verification.

[0012] In the above technical solution, the immersive teaching practice and examination module provides standard process animation demonstration, generates task work orders through an interactive screen, and learners complete operations in a three-dimensional scene on a display screen. The system checks compliance in real time and provides error correction guidance. The examination mode of the immersive teaching practice and examination module supports emergency accident simulation, triggers the approval process through an interactive token, and realizes multi-dimensional scoring.

[0013] In the above technical solution, the environmental interference includes weather level settings, and the weather level settings include sunny, heavy rain, 5-level or above gale, dense fog and thunder and lightning weather;

[0014] The simulation accuracy of the fluid mechanics meets the combustible gas diffusion path, and the boundary layer separation effect is simulated when the wind speed is 10 m / s;

[0015] The dynamic task trigger delay of the immersive teaching practice and examination module is ≤100 ms, and the real-time error of the operation result feedback is ≤80 ms.

[0016] In the above technical solution, the hot update technology unit of the teaching management module uses a differential compression algorithm to only transmit updated content.

[0017] In the above technical solution, the industrial-grade interactive terminal includes an interactive screen, a display screen and an interactive token.

[0018] In the above technical solution, the industrial-grade interactive terminal has an IP67 protection level.

[0019] In the above technical solution, the interactive screen is a touch industrial-grade capacitive screen that supports glove operation and is used for task display, receiving learner operation instructions and displaying operation instructions and error prompts;

[0020] The display screen is a high-resolution display screen used to render a VR three-dimensional operation scene and simulate device movement and environmental interference.

[0021] The interaction token is used for simulating the identity of an auditing personnel, checking a work flow approval link, and realizing physical level operation authenticity verification.

[0022] A virtual simulation training teaching method of an offshore platform special operation interactive terminal of the foregoing system, comprising the following steps:

[0023] S1, the student authenticates the identity through the interaction token of the industrial-grade interactive terminal, and performs virtual platform roaming on the display screen of the industrial-grade interactive terminal to learn regional safety specifications;

[0024] S2, the operation type is selected through the interaction screen of the industrial-grade interactive terminal, and the practice task is completed in the three-dimensional scene, and the system checks the operation in real time and feeds back;

[0025] S3, entering the assessment mode, triggering the approval process through the interaction token, and generating a score and an evaluation report according to operation data;

[0026] S4, the teaching management module analyzes the weak links through AI, pushes customized training content, and updates the resource package through hot update technology.

[0027] The beneficial effects of the present application are:

[0028] The present application provides a virtual simulation training teaching method and system of an offshore platform special operation interactive terminal, which solves the problems of traditional training in interaction, environmental adaptability and feedback efficiency through the design of an industrial-grade interactive terminal without a VR helmet, a task-driven immersive training process and a low-bandwidth adaptation technology, and improves the safety and practicality of special operation training. The present application is based on three-dimensional scene construction, multi-modal human-computer interaction technology, intelligent teaching management system and industrial-grade hardware terminal design based on virtual reality (VR) technology, and is suitable for safety training and practical simulation of special scenes such as offshore platform hot work and confined space operation. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 is a schematic diagram of the hierarchical relationship and data flow of the data layer, network layer, core module layer and business layer in the method of the present application;

[0030] Figure 2 is a logic diagram of the teaching management module in the present application;

[0031] Figure 3 is a structural schematic diagram of the industrial-grade interactive terminal in the present application;

[0032] Figure 4 is a student operation flowchart of the system of the present application for hot work.

[0033] For ordinary skilled persons in the art, other related drawings can be obtained according to the above drawings without creative labor. Detailed Implementation

[0034] To enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0035] Example 1

[0036] like Figure 1 As shown, a virtual simulation training and teaching system for special operations on offshore platforms includes a safety education document management module, an immersive teaching practice and assessment module, a teaching management module, and an industrial-grade interactive terminal. The entire system is deployed in the same local area network environment, and data communication is achieved through the local area network, enabling the safety education document management module, the immersive teaching practice and assessment module, the teaching management module, and the industrial-grade interactive terminal to communicate with each other. The system's data layer is deployed on the server in the offshore platform's central control room, storing the basic resource library and the operational database. The system's network layer supports production network, office network, and hot update channel. The production network only allows terminals to access training data, the office network supports full management by the teacher, and the hot update channel uses the MQTT protocol to achieve low-bandwidth transmission.

[0037] The safety education document management module is used to store and display offshore platform operation specification documents, and to construct a 1:1 scale virtual platform scene for trainees to roam and learn. The safety education document management module supports safety data storage, regional specification annotation, and real-time safety prompts during virtual avatar roaming. The safety education document management module includes functions such as platform boarding special education, platform area division, and platform roaming.

[0038] The immersive teaching practice and assessment module is based on VR technology to construct a three-dimensional work environment, realize task-driven practice and assessment, and realize full-process simulation of knowledge learning, process practice and fault assessment.

[0039] The immersive teaching and assessment module includes various assignment types, each consisting of three parts: basic knowledge learning, familiarization with the work process, and practical simulation assessment. These assignment types include hot work and confined space work modules. Each module provides standard process animation demonstrations, generates task orders via interactive screens, and allows trainees to complete operations such as equipment checks and form filling within a 3D scene on the display screen. The system verifies compliance in real time and provides error correction guidance. The assessment mode supports emergency simulation, triggering the approval process through interactive tokens to achieve multi-dimensional scoring. The workflow of each assignment type module includes work application, risk analysis, safety measures, work approval, on-site verification, process monitoring, work implementation, and work completion.

[0040] The immersive teaching and assessment module for offshore platforms includes hot work operations. The main operational procedures for hot work operations include:

[0041] Gas detection link: the system requires the trainee to complete the virtual space combustible gas concentration detection (simulated range 0-100% LEL, detection accuracy ±1%) before the fire operation;

[0042] License approval link: trigger multi-level approval process through interactive token, simulate safety supervisor->production manager dual authentication, approval timeout automatically terminated, response time≤30 seconds;

[0043] Simulation operation link: simulate welding equipment operation in three-dimensional scene, real-time superimpose sea wind interference (flame deflection angle 10-15° when wind speed 10-15m / s) and equipment vibration (operation torque deviation≤8% under 1-5Hz frequency);

[0044] The immersive teaching practice assessment module uses real-time physical engine to simulate device motion, fluid mechanics and environmental interference, wherein:

[0045] The environmental interference includes weather level setting, which includes sunny day, heavy rain, gale above 5, thick fog and thunder and lightning weather;

[0046] The fluid mechanics simulation accuracy meets the combustible gas diffusion path, and the boundary layer separation effect is simulated when the wind speed is 10m / s;

[0047] The dynamic task trigger delay of the immersive teaching practice assessment module is≤100ms, and the operation result feedback real-time error is≤80ms.

[0048] The teaching management module generates individualized training plan based on AI analysis of trainee operation data, and updates training resources through hot update technology;

[0049] The teaching management module includes an AI analysis unit, which analyzes trainee operation log data through algorithm, identifies weak links, generates individualized training plan, and pushes special training tasks;

[0050] The hot update technology unit adopts differential compression algorithm, only transmits updated content, pushes lightweight resource package to terminal, adapts to offshore low bandwidth network, supports automatic decompression and application of resource package in offline environment, and the logic diagram of the teaching management module is as Figure 2 shown, which shows the cooperative working principle of AI analysis and hot update technology;

[0051] Industrial interactive terminal as an interactive layer inputs multi-modal data into the data layer of the system, AI analysis unit extracts features from the data layer of the system, AI analysis unit integrates collaborative filtering algorithm and regression prediction model, and uses collaborative filtering algorithm and regression prediction model to generate dynamic strategy; Dynamic strategy, namely individualized training plan generated according to different trainees;

[0052] The collaborative filtering algorithm specifically includes the following steps:

[0053] (I) Data collection and preprocessing

[0054] The input data of the collaborative filtering algorithm comes from the system data layer, and data collection and standardization processing need to be completed first to ensure that the data meets the algorithm calculation requirements;

[0055] (II) Similarity calculation

[0056] The core of the collaborative filtering algorithm is to mine the rules through "similarity matching", combined with the training scene demand, and the similarity of students and the similarity of training content, forming a two-way matching basis;

[0057] (III) Personalized demand prediction

[0058] Based on the similarity results, the algorithm predicts the target student's weakness in the unfinished / unskilled content through "behavior inference individual demand", and finally selects the training content that needs to be pushed;

[0059] (IV) Collaborative optimization with regression prediction model

[0060] The patent clearly mentions that the AI analysis unit "integrates collaborative filtering algorithm and regression prediction model", and the two are not independent, but through "weight distribution" to optimize the recommendation results, avoiding the bias of a single algorithm;

[0061] (V) Model dynamic update

[0062] Because the offshore platform training content will be iterated through "hot update technology" (such as adding "operation simulation under thunder and lightning weather"), and the student operation data continues to accumulate, the collaborative filtering algorithm needs to be updated regularly to ensure the timeliness and accuracy of the recommendation.

[0063] The regression prediction model is the core of the AI analysis unit of the teaching management module, which works with the collaborative filtering algorithm, and the core goal is to quantitatively predict the expected skill improvement rate of students after completing specific training content based on relevant student data, providing accurate basis for personalized training programs;

[0064] The model data source is strictly limited to the system data layer mentioned in the document, including student historical operation data (such as the number of gas detection errors in hot work operation, the number of approval overtime), training content attribute data (such as difficulty level, risk weight), and student basic attribute data (such as qualification level, historical training duration);

[0065] In the preprocessing stage, according to the data characteristics of the offshore scene, extreme abnormal values caused by device lag are removed, missing values are filled with the mean value of students with the same qualification, different dimension data is normalized to the interval [0, 1], and the training set (the first 3 months of data, accounting for 70%) and the verification set (the last 1 month of data, accounting for 30%) are divided according to the time dimension;

[0066] Feature engineering focuses on scene, extracts three types of core features: student features (historical average compliance rate, learning ability indicators, etc.), training content features (average error rate, high-risk step proportion, etc.), and interaction features (same content completion, terminal device status, etc.);

[0067] Model selection considers both accuracy and adaptability. When the sample size is greater than or equal to 500, use nonlinear processing, and when the sample size is less than 500, use linear regression.

[0068] During prediction, the input features output the improvement rate. Incremental updates (when new content or data reaches a threshold) and full updates (once a month) are used to ensure timeliness. Finally, the comprehensive recommendation score is output by weighting and fusing with the collaborative filtering algorithm. This supplements the lack of similarity in collaborative filtering and adapts to the low bandwidth and high-risk training needs of offshore platforms.

[0069] The industrial interactive terminal is used for human-computer interaction and identity verification.

[0070] The industrial interactive terminal includes an interactive screen, a display screen, and an interactive token. The physical layout and connection method of the interactive screen, the display screen, and the interactive token are as shown in Figure 3 The interactive screen and the display screen are connected through a USB3.0 bus. The interactive screen is physically connected to the interactive token, and the physical connection is face-to-face contact, i.e., the interactive token is placed on the interactive screen. The interactive token and the display screen are data transmission, and the position data of the interactive token changes, and the display screen changes synchronously.

[0071] The interactive screen is a touch industrial capacitive screen, which is used to receive operation instructions of students and display operation instructions and error prompts, supports glove operation, and is used for task display, operation instructions, and error prompts.

[0072] The display screen is a high-resolution display screen, preferably a 4K anti-glare display, which is used to render high-precision VR three-dimensional operation scenes and simulate device movement and environmental interference.

[0073] The interactive token is used to simulate the identity of an audit personnel, verify the approval link of the operation process, and realize physical-level operation authenticity verification.

[0074] The industrial interactive terminal adopts an industrial-grade rugged design, supports wide-temperature operation, and has IP67 protection. The overall device meets the wide-temperature operation and IP67 protection standards of -20℃ to 60℃, and is suitable for harsh environments such as high salt fog and strong vibration on offshore platforms.

[0075] The offshore platform special operation interactive terminal virtual simulation training teaching system supports offline operation and edge computing, and can operate independently after downloading the resource package, in the offline operation mode, the hot update technology adopts the LZ4 compression algorithm, the compression ratio of the resource package is 30%, 200KB difference data is updated within 5 minutes, and the continuity of training is ensured.

[0076] Figure 1 The hierarchical relationship and data flow of the system data layer, network layer, core module layer and business layer of the system are shown; the system comprises a safety education module, an immersive teaching module, a teaching management module and an industrial-grade terminal equipped with an interactive screen, a display screen and a token, and each module cooperates through a multi-layer architecture: the safety education module provides standard document management and virtual scene roaming; the immersive module constructs a three-dimensional operation environment by means of VR technology, and realizes task-driven training; the teaching management module generates an evaluation report based on AI analysis of operation data; the interactive terminal realizes multi-modal interaction through double screens and a token. The system uses a real-time physics engine and 3D modeling technology to restore the device layout of the operation scene on the display screen, realizes task interaction by combining touch of the interactive screen and token input, and generates feedback by real-time verification of operation through a dynamic mechanism; the teaching management module pushes reinforced training content through the AI analysis module, supports low-bandwidth hot update and offline operation. Compared with the traditional scheme, the industrial-grade terminal design without a VR helmet is combined with double screens and a token to realize efficient human-computer interaction and improve the immersion of training; the low-bandwidth hot update technology is created to ensure the continuity of offshore environment training; AI analysis realizes personalized evaluation and targeted training to optimize training quality; the terminal has a wide temperature operation and IP67 protection, and is suitable for harsh operation environments.

[0077] Embodiment 2

[0078] As shown in Figure 1 , 4 , a kind of offshore platform special operation interactive terminal virtual simulation training teaching method, comprising the following steps:

[0079] S1, student is authenticated identity through the interactive token of industrial-grade interactive terminal, and carries out virtual platform roaming in the display screen of industrial-grade interactive terminal, learns regional safety specification;

[0080] After student inserts the interactive token of industrial-grade interactive terminal and completes identity authentication, selects "platform roaming" in the interactive screen of industrial-grade interactive terminal, the display screen of industrial-grade interactive terminal loads virtual platform model, and corresponding safety specification is automatically popped up when entering explosion-proof area;

[0081] S2, select operation type through the interactive screen of industrial-grade interactive terminal, complete practice task in three-dimensional scene, and the system real-time verifies operation and feedback;

[0082] The system checks the operation in real time and feeds back the compliance check of each operation of the trainee, and if the operation is wrong, the system displays an error prompt in real time and provides correct operation guidance;

[0083] In the practice stage, the trainee selects the operation type (such as fire operation) through the interactive screen, operates in the three-dimensional scene displayed on the screen according to the work order (such as checking the welding equipment), and the system checks the compliance in real time (such as prohibiting fire when the gas concentration is not detected), and the trainee is prompted to correct the error through the pop-up window of the interactive screen and the highlight of the display screen.

[0084] S3, enter the assessment mode, trigger the approval process through the interactive token, and generate a score and an evaluation report according to the operation data;

[0085] In the assessment stage, the system randomly triggers a sudden fault (such as pipeline leakage), the trainee simulates the approval process of the safety supervisor by inserting the token (such as triggering the "permission issuance"), and the operation data is synchronized to the teaching management module to generate a scoring report, which displays the compliance rate, task time consumption and weak link suggestions.

[0086] S4, the teaching management module analyzes the weak links through AI and pushes customized training content or updates resource packages.

[0087] The push customized training content includes AI analysis of trainee operation data, identification of weak links, and generation of targeted training tasks based on weak links.

[0088] The AI analysis module analyzes the trainee operation data (such as'restricted space operation' error rate > 40%), generates a special training task and pushes it through the interactive screen; after the teacher updates the document, the hot update technology only transmits the difference, and the terminal completes the update within 5 minutes; in terms of hardware cooperation, the interactive screen, display screen and token communicate in real time through USB bus, and the token authentication signal triggers the permission verification of the teaching management module.

[0089] The invention breaks through the limitations of traditional VR headsets, realizes lightweight interaction through the combination of "interactive screen input-display screen rendering-token verification", and solves the network bottleneck on the sea through the low-bandwidth hot update technology. Combined with AI-driven personalized training paths, the training efficiency and environmental adaptability are significantly improved.

[0090] The invention improves the sense of immersion: through 1:1 scale three-dimensional modeling technology (relying on 4K anti-glare display screen rendering), it accurately restores typical areas such as the deck and engine room of offshore platforms, and the trainee's spatial cognition of three-dimensional equipment layout has been greatly improved;

[0091] The application optimizes interaction efficiency: the multi-modal interaction design (industrial terminal) of double screens + tokens, through the hardware-level frame locking technology (NVIDIA GSync compatible mode), realizes the interactive screen-display screen cooperative delay ≤80ms (4K@60Hz rendering condition), shortens 120ms compared with the traditional VR helmet (200ms), and meets the real-time interaction requirement of IMO "Maritime Training System Performance Standard" (ISO 15026-2:2018). In the fire operation simulation, the student error operation correction time is shortened from 2 minutes to 8 seconds, and the training efficiency is improved by 60%.

[0092] The application breaks through the environmental adaptability: the IP67 protection design of the industrial terminal is verified by GB / T10125-2021 salt spray test, and after 72 hours of continuous spraying of 5% NaCl solution, the equipment failure rate is 0, while the failure rate of the lens fogging and the key failure of the consumer VR equipment under the same conditions reaches 45% (data source: "Marine Engineering Equipment Environmental Adaptability Standard" 6.3.2). In the wide temperature test of-20℃~60℃, the terminal continuously runs for 30 days without any abnormality, and is suitable for the extreme environment of offshore platforms.

[0093] The applicant declares that the above is only a specific embodiment of the application, but the protection scope of the application is not limited thereto, and those skilled in the art should understand that any changes or replacements within the technical scope disclosed by the application can be easily thought of by any person skilled in the art in the technical field, and all fall within the protection scope and disclosure scope of the application.

Claims

1. A virtual simulation training and teaching system for special operations on offshore platforms, characterized in that: include: The safety education document management module is used to store and display offshore platform operation specification documents and build a 1:1 scale virtual platform scene for trainees to roam and learn. The immersive teaching practice and assessment module constructs a three-dimensional work environment based on VR technology and uses a real-time physics engine to simulate equipment movement, fluid dynamics and environmental interference to achieve task-driven practice and assessment. The teaching management module uses AI to analyze student operation data, generates personalized training plans, and updates training resources through hot update technology. Industrial-grade interactive terminals for human-computer interaction and identity verification.

2. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 1, characterized in that: The immersive teaching practice and assessment module provides standard process animation demonstrations, generates task work orders through interactive screens, and trainees complete operations in a three-dimensional scene on the display screen. The system verifies compliance in real time and provides error correction guidance. The immersive teaching practice and assessment module supports the simulation of sudden accidents, triggers the approval process through interactive tokens, and achieves multi-dimensional scoring.

3. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 1, characterized in that: The simulation accuracy of the fluid dynamics meets the requirements of the combustible gas diffusion path and the boundary layer separation effect is simulated at a wind speed of 10 m / s; the dynamic task triggering delay of the immersive teaching practice and assessment module is ≤100 ms, and the real-time error of the operation result feedback is ≤80 ms.

4. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 1, characterized in that: The hot update technology unit of the teaching management module uses a differential compression algorithm to transmit only the updated content.

5. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 1, characterized in that: The industrial-grade interactive terminal includes an interactive screen, a display screen, and an interactive token.

6. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 5, characterized in that: The interactive screen is an industrial-grade capacitive touchscreen that supports glove operation. It is used for task display, receiving operation instructions from trainees, and displaying operation guidance and error prompts. The display screen is a high-resolution display screen used to render VR 3D work scenes and simulate equipment movement and environmental interference; The interactive token is used to simulate the identity of the reviewer, verify the approval process of the work flow, and realize the physical-level verification of the authenticity of the operation.

7. The virtual simulation training and teaching system for special operations on offshore platforms according to claim 5, characterized in that: The industrial-grade interactive terminal has an IP67 protection rating.

8. A virtual simulation training and teaching method for special operations on offshore platforms using the system described in any one of claims 1 to 7, characterized in that: Includes the following steps: S1. Trainees authenticate their identity using the interactive token of the industrial-grade interactive terminal and roam the virtual platform on the display screen of the industrial-grade interactive terminal to learn about regional security regulations. S2. Select the job type through the interactive screen of the industrial-grade interactive terminal, complete the practice task in the three-dimensional scene, and the system verifies the operation and provides feedback in real time; S3. Enter assessment mode, trigger the approval process through interactive tokens, and the system generates scores and evaluation reports based on operation data; S4, the teaching management module uses AI to analyze weaknesses and push customized training content or updated resource packages.

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