8 results about "Post training" patented technology

The invention relates to the technical field of post training simulation, in particular to a virtual internet-of-things practical training post skill platform construction method, which comprises the following steps of: spreading a serial number state among nodes through a graph neural network, forming a comparable arrangement structure in a plurality of dependency paths through serial numbers, and presenting a post task start-stop relationship in a continuous serial number chain form; the execution sequence of post tasks is expressed by an extensible number sequence, and the tail number difference and the repeated numbers are memorized and expressed through a long-short-term memory network, so that subsequent post operation numbers can form continuous inference according to preorder number characteristics, and post action changes form distinguishable paragraphs in a number chain; by counting inconsistent parts of action numbers and writing the inconsistent parts into a deviation number sequence, deviation positions are presented in a centralized manner in a number form, and abnormal numbers form clear identifiers in a record set, so that workflow identification, step deviation positioning and abnormal operation calibration have recordable and traceable coherence.

The invention relates to a multi-work-platform simulation training operation system, a storage medium and a method. The multi-work-platform simulation training operation system comprises a work platform simulation module, a manipulation control module, a base installation module, a communication and vehicle manipulation module and a joint control module. The joint control module is respectively in communication connection with the work platform simulation module, the manipulation control module and the communication and vehicle manipulation module, and is used for realizing data interaction and cooperative control among the modules; according to the system, the indoor practical training space is optimally designed, the lifting requirement is met by digging the base underground, the core functions of lifting, stretching, interlocking and the like of the main platform, the left auxiliary platform and the right auxiliary platform are simulated, and a real operation scene is restored in cooperation with a special control panel and joint control logic. According to the invention, the problems of high space requirement, high risk and high cost of real vehicle training are solved, safe, efficient and repeatable overhead line system maintenance operation platform operation training is realized, and the system is suitable for pre-post training and skill improvement of overhead line system operators.

Pre-trained world foundation models (diffusion and autoregressive) may be post trained (fine-tuned) for robotic manipulation tasks. The pre-trained world foundation models (WFMs) process video frames (observations) and a text prompt (perturbation) to generate output video corresponding to future observations based on the video frames and text prompt. The WFM generates the output video while maintaining three-dimensional consistency and physics accuracy between the input video frames and each successive frame in the output video.

The application relates to the technical field of vocational education training systems and methods, in particular to a post training and cultivating system and method based on AR virtual vision, which adopts AR virtual reality, innovatively adopts dynamic environment binding technology, and through real-time scanning of a training scene such as a laboratory or a factory workstation by an RGB-D camera, a 3D environment point cloud map is constructed by adopting a SLAM algorithm, virtual equipment is automatically aligned with a real desktop coordinate system, the virtual equipment can be placed on the real desktop, and is constrained by physical shielding relationship, such as automatically hiding a shielded part when a hand passes through the virtual equipment, compared with traditional AR projection technology, the system is more real, has stronger substitution and training feeling, the training of students is further effective, and the period of adapting to a post is shorter; a multi-modal operation evaluation mechanism is adopted, operation tracks are dynamically compared with standard paths, and a deviation heat map is generated in real time; operation steps are decomposed into three stages of preparation, execution and verification, and are respectively scored, and training scoring is further realized.

The application discloses a big model multi-modal training data collection and intelligent recommendation model construction system, relates to the training data processing technical field, and is suitable for a high-risk post training scene; the method firstly collects, pre-processes and merges candidate steps of a video stream, a voice stream, operation logs, test results and simulator or device logs to form unified evidence objects; secondly, a cross-modal evidence credibility graph is constructed, and proficiency is updated according to the comprehensive credibility; thirdly, late evidence is executed to perform local difference correction and steady-state control; finally, step-level or process-level supplementary training sequences are generated, and supplementary training execution results, retest results and post results are written back to step nodes and skill nodes. The method can improve the accuracy of multi-modal evidence merging, reduce the interference of low-quality evidence on portrait updating, enhance the consistency of supplementary training recommendation and training state, and improve the closed-loop processing capability of the training process.

The invention relates to a multi-post joint training method and simulation system based on rail transit. The training method comprises the following steps: configuring corresponding workstations for operators of a plurality of posts, and simulating an actual working environment by the workstations; constructing a multi-post collaborative simulation scene library, and recording a multi-post collaborative operation process; issuing a corresponding operation task to the workstation, wherein the operation task comprises a single-post task and a multi-post linkage task; an operator sends an operation instruction in the work station to complete a single-post task, and the operation instructions sent by a plurality of operators are verified through an instruction interaction verification rule to complete a multi-post linkage task; and respectively evaluating skill indexes and task completion indexes of the single-post task and the multi-post linkage task. Compared with the prior art, the method has the advantages that the isolation of single-post training is broken through by constructing the multi-post coordination scene library, trainees can master a cross-post coordination process in a simulated real coordination scene, the coordination ability in actual work is improved, and the like.

The application provides a post adaptability online training platform and a training effect improving method, and relates to the technical field of computers.The application comprises a content generation module, which is used for generating and storing post training courses according to a post directory to be trained; a learning map generation module, which is used for obtaining a post ability model of a target post, calling a target training course associated with the post ability model from the post training courses, and dynamically generating a personalized learning map for each target post trainee according to the target training course and a preset learning path rule; and a course matching module, which is used for outputting a personalized learning map associated with a post of an employee based on an authorized employee access interface and in response to received employee identity information; thus, the period for the employee to adapt to a new environment can be shortened, the operation and maintenance skills of all employees can be systematically improved, and the risk of misoperation can be reduced.

The present application relates to the field of coal mine safety production and digital training, and particularly relates to a kind of coal mine post training method and system based on digitalization, the method includes the steps of collecting basic multi-source data, establishing data warehouse;Causal inference method is used to build causal association model, the causal effect of different training variables on safety performance is quantified;Extract the multi-dimensional safety risk characteristics of employees, after quantization, normalization, screening and dimension reduction, establish the employee safety risk characteristic library;Based on the characteristic library and historical accident data, a safety risk prediction model is built, the safety risk index of employees is calculated and the risk level is divided;According to the risk level, generate graded early warning information, and develop individualized intervention measures combined with employee risk characteristics.The present application establishes the causal association model of training data and safety performance data, realizes the quantitative evaluation of training effect, and builds a safety risk prediction model based on multi-dimensional data, identifies high-risk employees in advance and carries out precise intervention.