8 results about "Operator training" patented technology

To improve the accuracy of prediction of simulation in an operation area different from a normal operation time.SOLUTION: A plant simulator 30 simulates the behavior of a plant comprising a circulating fluidized bed boiler that circulates fluid material discharged from a combustor through a cyclone and an external heat exchanger to the combustor. The plant simulator 30 comprises: a model storage unit 40 that stores a physical model of the plant; and an operation unit 45 that simulates the behavior of the plant by using input data and the physical model. The physical model of the plant includes a physical model related to the components of the circulating fluidized bed boiler. The operation unit 45 includes at least one of a combustor operation unit 46 that simulates a delay in combustion of fuel introduced into a combustor, a cyclone operation unit 47 that simulates an afterburning phenomenon in the cyclone, and an external heat exchange operation unit 48 that simulates a delay in heat transfer caused by the fluid material in the external heat exchanger.SELECTED DRAWING: Figure 3

A collaborative robot cutting system for the assembly, construction, fabrication, and / or the completion of structural components for manufactured assemblies. A method of preparing work pieces and materials for further manufacturing operations employing the intuitive graphical interactive programming features of a robot cutting system user interface to enhance productivity and versatility in high mix, low volume fabrication environments with minimal operator training.

The invention relates to a computer-implemented operator training environment for a technical system, which environment is designed to: - receive a system configuration of the technical system; - generate a basic operator training scenario including a system configuration of the technical system; - automatically acquire or receive a sequence of operating actions performed by one or more operators of the technical system in order to derive and generate a specific operator training scenario from the basic training scenario; - receive an updated system configuration; - newly generate the basic operator training scenario including the updated system configuration; and - generate the specific operator training scenario by applying the recorded sequence of operating actions to the newly generated basic operator training scenario.

The invention discloses a model training integrity verification method based on a trusted execution environment. The method comprises the following steps: acquiring a model offline training data set; constructing an operator training set to train an operator operation time prediction model; obtaining the overall expected time of each training round of the corresponding to-be-trained model; quantifying model parameters after single-round training of each model in the GPU equipment to obtain a parameter group of the corresponding model; corresponding model training is carried out in the target GPU, TEE training and timing are started according to the pseudo-random seeds, and quantitative check points and complete check points are generated; and repeatedly verifying the integrity of model training in the TEE according to the quantitative check points and the complete check points, and regarding the model with the integrity as a qualified model. According to the method, abnormity can be found in time in the training process, waste of computing resources and reduction of model performance are avoided, the storage burden can be effectively relieved, robustness and expandability are improved, and correctness and safety of training are guaranteed.

The invention relates to a configuration of a training facility for operator training, the method of the configuration comprising: generating, by a computer-implemented tool, a first configuration for a first group of automation devices actually used in a technical facility; assigning a first configuration to a first group of automation devices actually used in the technical installation; transmitting the first configuration to the first group of automation devices, generating a second configuration by the second group of automation devices, assigning the second configuration to the second group of automation devices, transmitting the first configuration to the second group of automation devices, and further assigning the first configuration to the first group of virtual automation devices, transmitting the assigned first configuration to a computer-implemented virtualization environment, the virtualization environment providing a first group of virtual automation devices, further assigning a second configuration to the first group of virtual automation devices, transmitting the assigned first configuration to the computer-implemented virtualization environment, and transmitting the assigned second configuration to the computer-implemented virtualization environment, the computer-implemented virtualization environment providing a second group of virtual automation devices. The virtualization environment provides a first set of virtual automation devices.

A training simulation apparatus, for training a user in an electrode coating process performed by a coater including a plurality of manifolds, may include at least one processor; a memory configured to store at least one instruction executed by the at least one processor; and a user interface configured to receive conditions and condition adjustment values ​​of one or more adjustment parameters for determining the operation of a virtual model device from a user, transmit the conditions and condition adjustment values ​​of one or more adjustment parameters to the at least one processor, and output results of the execution of the at least one instruction by visualizing the results.

A method includes creating a first configuration for a first group of real automation devices of a technical plant, allocating the first configuration to the first group of real automation devices, transmitting the first configuration to the first group of real automation devices, creating a second configuration for a second group of real automation devices different from the first group, allocating the second configuration to the second group of real automation devices, transmitting the first configuration to the second group of real automation devices, additionally allocating the first configuration to a first group of virtual automation devices, transmitting the allocated first configuration to a virtualization environment, which provides the first group of virtual automation devices, additionally allocating the second configuration to the first group of virtual automation devices, and transmitting the allocated first configuration to the virtualization environment, which provides the first group of virtual automation devices.

A collaborative robot cutting system for the assembly, construction, fabrication, and / or the completion of structural components for manufactured assemblies. A method of preparing work pieces and materials for further manufacturing operations employing the intuitive graphical interactive programming features of a robot cutting system user interface to enhance productivity and versatility in high mix, low volume fabrication environments with minimal operator training.