16 results about "Training center" patented technology

The application provides a wind power tower drum load measuring method, which comprises the following steps: dividing a preset time period into N time intervals; collecting training temperature measuring data of at least one temperature sensor and training center wavelength data of at least one load sensor in each time interval; training N load temperature compensation models based on the training temperature measuring data of the at least one temperature sensor and the training center wavelength data of the at least one load sensor collected in each time interval; collecting small-wind shutdown temperature measuring data of the at least one temperature sensor and small-wind shutdown center wavelength data of the at least one load sensor under small-wind shutdown of a wind power tower drum; selecting a target load temperature compensation model from the N load temperature compensation models based on the small-wind shutdown temperature measuring data; obtaining a center wavelength prediction value through the target load temperature compensation model; and calculating the wind power tower drum load based on the small-wind shutdown center wavelength data and the center wavelength prediction value.

1. Name of the product in this design: Anti-electricity theft training device. 2. Purpose of this design: It is intended as a teaching tool for power supply companies, power schools, and training centers to conduct anti-electricity theft training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. For parts of the product that are not easily seen or not visible during use, the top view is omitted; for the bottom view of the product that is not easily seen or not visible during use, the bottom view is omitted.

The invention discloses a clinical medicine practice skill evaluation standard formulating system, and relates to the technical field of medical education evaluation, and the system comprises a system resource and authority presetting module, an evaluation content construction module, a user role responsibility clarification module, a multi-scene evaluation execution and data processing module, and an evaluation system dynamic optimization and sharing module. According to the method, on the basis of a clinical ability framework of a medical examination institution, examination outline requirements of clinical practitioners are integrated, clinical thinking and humanistic care dimensions are supplemented, a four-class eight-dimensional process evaluation mode is innovatively constructed, the problems that in traditional evaluation, the result is heavy, the process is light, and the evaluation dimension is single are solved, and the evaluation efficiency is improved. The four classes cover the learning and practice links of students, the eight dimensions further refine the specific evaluation indexes, and then are in butt joint with clinical skill training center equipment, multiple classes of teaching tools are integrated, and hardware and software support is provided for landing of four-class eight-dimension evaluation; the data of each dimension is obtained in real time in the scene inside and outside the school, and the comprehensive evaluation result is generated.

The invention discloses an accurate behavior analysis system and method for a Vivado synthesizer safety state machine. The accurate behavior analysis system comprises a training class management module, a south gate access control management module, a training apartment door lock management module and a system management module. According to the invention, by integrating a face recognition technology and an informatization management means, integrated intelligent management of sign-in management, access control and attendance statistics of the training center is realized. The linkage of the training class management module and the access control management module ensures that the face information of the trainees is input at one time and is universal in multiple areas, so that the repeated input work is reduced; a mobile phone terminal sign-off function is combined with private network WiFi limitation, so that the sign-off of students is facilitated, and the cheating behavior of remote card punching is avoided; a real-time attendance reminding function enables a class owner to timely grasp attendance conditions of students, so that the management efficiency is improved.

The invention relates to the technical field of artificial intelligence, and particularly provides a distributed robot federated learning network optimization method and system, and the method comprises the following steps: S1, each robot client uploads the network bandwidth of each network interface of the robot client, the jitter to a server, and the packet loss rate information in real time; s2, the training center Agent uploads the resource use condition of the training center Agent in real time; s3, after the training task is finished, the robot uploads the size of the training result packet, the training round and the data importance to the controller; s4, the controller receives a request of uploading data by the robot, calculates packet uploading prediction time according to the comprehensive condition of each network outlet of the robot equipment and the current server resource use condition, and issues an instruction to the robot; and S5, starting the uploading time of the robot, and transmitting data to a training center according to an uploading time window. Compared with the prior art, the method has the advantages that the network congestion can be obviously reduced through predictive analysis scheduling, and the federal learning training efficiency is improved.

1. The name of the design product: electronic circuit installation training box. 2. The use of the design product: for the training of students majoring in electrical engineering technology, electronic technology, machine tool electrical engineering, etc.; at the same time, for the skill identification examination of enterprises and institutions, training centers, etc.; the training box integrates the "UPS uninterruptible power supply installation" training and examination project and the "power amplifier installation and maintenance" training and examination project into one. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1. 5. The top view design points have been expressed in other views, so the top view is omitted; the bottom view is not commonly used, so the bottom view is omitted.

The invention provides a wind power tower load measurement method, which comprises the following steps of: dividing a preset time period into N time intervals, and collecting training temperature measurement data of at least one temperature sensor and training center wavelength data of at least one load sensor in each time interval, training based on the training temperature measurement data of the at least one temperature sensor and the training center wavelength data of the at least one load sensor collected at each time interval to obtain N load temperature compensation models; small wind shutdown temperature measurement data of the at least one temperature sensor and small wind shutdown center wavelength data of the at least one load sensor under small wind shutdown of the wind power tower are collected; selecting a target load temperature compensation model from the N load temperature compensation models based on the small wind shutdown temperature measurement data, and obtaining a central wavelength prediction value through the target load temperature compensation model; and calculating the load of the wind power tower tube based on the small wind shutdown central wavelength data and the central wavelength predicted value.

The invention relates to a virtual simulation system, which belongs to the technical field of virtual simulation and comprises a digital twinborn experiment center, an online teaching simulation center, a service layer, a data layer and a physical layer. The digital twinborn experiment center comprises a theory classroom and a virtual laboratory; the online teaching simulation center comprises a virtual integrated laboratory and a practical training center. The virtual simulation system provided by the invention simulates a real environment technology by using a computer technology, simulates various environments and conditions in the real world by constructing a virtual three-dimensional model, provides immersive experience for a user, is low in technology implementation difficulty, real in experiment effect and high in experiment operability and interactivity, and is suitable for popularization and application. The system has a perfect experiment evaluation mechanism and is low in system maintenance and updating cost.

The invention discloses a tunneling support operation intelligent identification system based on an AI technology, and belongs to the technical field of coal mine intelligent safety monitoring. The system comprises an alarm generation module, an alarm processing module, an alarm reporting module and an alarm reminding module. When the heading machine stops, the AI model is automatically triggered for reasoning, and abnormal behaviors are recognized in real time according to the operation sequence of wall knocking and top asking, temporary supporting and permanent supporting; a time sequence reverse checking mechanism is innovatively adopted to automatically check the execution condition of a preorder procedure within 30 minutes, so that the integrity of the operation procedure is ensured; knocking action, forepoling bar state, anchor rod installation and other key indexes are identified through a computer vision technology, an alarm is generated immediately when abnormity is found, and underground broadcast reminding is linked; and after the management personnel disposes, the misinformation data is uploaded to the group training center optimization model. According to the invention, intelligent supervision of the whole process of the tunneling support operation is realized, post responsibility investigation is converted into in-process intervention, and the operation normalization and safety are effectively improved.

1. The name of the design product: airway teaching model. 2. The use of the design product: a model for airway teaching in medical institutions, schools, first aid training centers, fire departments, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The application discloses a kind of accurate behavior analysis system and method for Vivado synthesizer security state machine, including training class management module, south gate access control management module, training apartment lock management module and system management module;The application realizes the integrated intelligent management of training center sign-in management, access control, attendance statistics by integrating face recognition technology and information management means.The linkage of training class management module and access control management module ensures that student face information is input once, and is used in multiple areas, reducing repetitive input work;Mobile phone end sign-off function combined with private network WiFi restriction not only facilitates student sign-off, but also avoids remote clocking cheating behavior;Real-time attendance reminder function enables class teacher to timely grasp student attendance, improving management efficiency.

The present disclosure relates to the technical field of federated learning, and provides a federated learning training method and device. The method comprises: after a model demander initiates a training task, determining a plurality of participants by a federated learning training center according to the training task; performing federated learning training on a neural network model by using the plurality of participant data of the plurality of participants; obtaining a work log corresponding to each participant in the federated learning training, and obtaining supervision information corresponding to each participant by a security supervision center; and performing auditing processing on the neural network model according to the work log and the supervision information corresponding to each participant, to obtain a trusted federated learning model. By using the above technical means, the problem that the use of participant data in federated learning training cannot be monitored, data security risks exist, and the reliability of federated learning training cannot be guaranteed in the prior art is solved.

The invention discloses a mine unsafe behavior AI intelligent identification system, and aims to solve the problem of mine safety supervision. The system comprises a headquarters training center and a mine end system. The headquarters training center carries out model training and data processing, including construction of hardware expansion, a cloud platform, an AI enabling platform, a mine vision large model and the like; the mine end is responsible for field data acquisition and primary processing. A camera is installed in a key area of a mine to collect video data, and model training is carried out by combining sensor data and utilizing multiple frames and tools of an AI enabling platform. The system has a real-time monitoring function, unsafe behaviors and hidden dangers such as personnel invasion and belt deviation can be accurately recognized, an alarm is given in time, and equipment is controlled in a linkage mode. And meanwhile, multi-system linkage is realized. New scene enabling is provided, a perfect safety guarantee system is provided, data safety and stable operation of the system are guaranteed, and the intelligent safety management level of the mine is comprehensively improved.

The application belongs to the technical field of new energy vehicle teaching and training equipment, and discloses a high-voltage safety training interaction system and method based on Arduino and Unity3D and a storage medium. The system comprises a modular vehicle unit, an interaction display module and a safety control module group. The detection terminal of the vehicle high-voltage system circuit diagram is electrically connected with the real vehicle high-voltage connector. The interaction display module is loaded on the Unity3D platform and integrates teaching mode selection, high-voltage operation, data simulation measurement, fault examination and other modules. The safety control module group is double-protected by the leakage protector and the physical safety lock. The training method covers system detection, vehicle authorization, safety verification, multi-mode operation and the generation of a multi-dimensional scoring report containing a fault positioning heat map. The application realizes real-time synchronization of physical operation and virtual simulation through the combination of software and hardware, solves the problems of existing training equipment, such as the disconnection between the real object and the virtual object, poor adaptation to multiple vehicle types and insufficient safety protection, and is suitable for scenes such as vocational colleges and vehicle training centers.

The utility model belongs to the technical field of fitness equipment, and particularly relates to a skiing machine. The utility model provides a skiing machine which aims at solving the problem that in the prior art, no skiing machine which has a training effect and is used indoors exists. A skiing machine comprises a base, an arc-shaped guide rail is arranged on the base, a pedal is further arranged on the base, and the pedal is connected to the arc-shaped guide rail in a sliding mode. According to the skiing machine, the arc-shaped guide rails and the pedals connected in the sliding mode are arranged, so that the skiing machine can simulate real skiing actions and experience. When a user slides on the pedal, the user can feel mechanical feedback and muscle exercise similar to real skiing, and therefore the skiing skill is effectively improved. The skiing machine is compact in structure, small in occupied area and very suitable for being used indoors. No matter in families, gymnasiums or training centers, the skiing training device can be easily accommodated and provide a high-quality skiing training environment.