Abstract:
A facility management apparatus (1A (1B)) generates element models for various components of a facility based on environmental data, measurement data, data inherent to the facility, and facility character information, defines a set of element models as a facility model, generates facility models for various facilities, and stores the facility models in a storage section (1A3 (1B3)). A central monitor (2) picks up the facility models of various facilities periodically from the facility management apparatus (1A (1B)), extracts similar element models from these facility models, and stores a set of extracted element models as a similar model group in a storage section (24). When a component is designated upon occurrence of some event, the central monitor (2) finds out a similar element model group including the element model of the designated component from the storage section (24).
Abstract:
Disclosed is apparatus for controlling devices comprising a data structure representing devices to be controlled; means for controlling the state of the device controller; means for dynamically determining the current sub-state within a state of the device controller; means for controlling the physical state of a controlled device; and a rules database having rules to be executed by the apparatus, the rules database having rules corresponding to a plurality of states and sub-states of said device controller.
Abstract:
The invention relates to a field device for automation systems, comprising a unit for internal data organisation, means for recording process parameters and/or means for outputting regulation parameters, means for processing signals according to the recorded regulation parameters or the regulation parameters to be output, and at least one communication interface. The means and the communication interface thus communicate with a unit for internal data organisation in order to exchange data between each other. A transaction manager unit, which is provided to control blockings, transactions and/or users, is used to control the access via the means and via the at least one communication interface to the data of the unit for internal data organisation between the means, the at least one communication interface and the unit for internal data communication.
Abstract:
A control system using a genetic analyzer based on discrete constraints is described. In one embodiment, a genetic algorithm with step-coded chromosomes is used to develop a teaching signal that provides good control qualities for a controller with discrete constraints, such as, for example, a step-constrained controller. In one embodiment, the control system uses a fitness (performance) function that is based on the physical laws of minimum entropy. In one embodiment, the genetic analyzer is used in an off-line mode to develop a teaching signal for a fuzzy logic classifier system that develops a knowledge base. The teaching signal can be approximated online by a fuzzy controller that operates using knowledge from the knowledge base. The control system can be used to control complex plants described by nonlinear, unstable, dissipative models. In one embodiment, the step-constrained control system is configured to control stepping motors.
Abstract:
A model based controller system and method is disclosed. The system and method includes at least one model including at least one process step, at least one controller that generates at least one control command, at least one component responsive to the at least one control command, wherein the at least one component receives the at least one control command from the at least one controller, and wherein the at least one component sends at least one component information element to the at least one controller, and at least one communicative coordination that communicatively coordinates the at least one model with the at least one controller, wherein the at least one control command is generated in accordance with the at least one process step, and wherein at least one of the at least one process step is varied in accordance with the at least one component information element.
Abstract:
A device for calculating the steady state behavior of a controller includes an amount generating unit for generating the amount of deviation of the regulator, a first threshold value calculation unit that detects whether the amount of deviation of the regulator has fallen below a first threshold value and then starts a lag time delay unit, and a second threshold value calculation unit that detects whether the amount of deviation of the regulator has fallen below a second threshold value. A signal transmission unit transmits a ready message signal when the lag time delay unit has reached a predetermined lag time and the second threshold value calculation unit has detected that the amount of deviation of the regulator has fallen below the second threshold value.
Abstract:
A computer-aided-design system used with a computer forms a shape model for applications of a product to be manufactured. A plurality of shape forming function information having forming commands for various shapes of the product for expressing in the shape model for the applications is included to form the shape model for the applications based on a selection of the shape forming function information. The shape model for the applications can be defined by its shape derived from a basic shape. Further, the shape forming function information of the shape model for the applications can be defined as a set of the forming commands that correspond to the basic shape and the forming command corresponding to a shape derived from the basic shape. Thus by effectively controlling the shape of each desired model, a simple model forming process can be performed.
Abstract:
A method for building a new generation of computer applications termed nullSensitive Applicationsnull is described. These applications have the potential to give the impression of working towards goals, reacting nullemotionallynull and nullunderstandingnull feelings. Sensitive Applications take as their input the rate and direction of change of subjective information (such as emotional tone). Sensitive Applications are capable of self-adjustment in efforts to increase the frequency of nullgoodnull behaviors (ie behaviors which seem to increase the possibility of reaching a goal.) They are capable of a wide range of modes of expression; through the use of mathematical and geometrical constructs such as waves and lines, the flow and change of emotional states is represented. The invention makes it possible to define a Behavior and then implement the manifestation of this behavior differently for different devices. The invention can be used in combination with robotics to create nullSensitive Devicesnull, such as a toy which gives the impression of being very knowledgeable, emotional, interested and alive.
Abstract:
Devices and methods are disclosed for controlling content within a device environment through interaction among electronic devices of the environment. The device has a transmitter, receiver, memory storing interaction rules and content rules and a processor for implementing the interaction rules and content rules in association with the transmitter, receiver, and other devices of the environment. Methods involve obtaining content information of the media about to be played and comparing the content information to the content rules stored at a device. An instruction about playback of the media content is generated. Methods may also involve seeking rights information for media content and determining whether rights information exists for identified media content in response to the request. When rights information does exist for the identified media content, a message is sent that includes the rights information.
Abstract:
An optimizer optimizes the configuration of a computer system, such as a web farm. The optimizer makes use of a performance simulator that simulates a cluster of machines running a given workload. A modular architecture allows different optimization modules to be plugged into the optimization system. In addition, the modular architecture also interfaces with different simulators through a simulator interface module. The simulator is decoupled from the optimization module. Simulation data may be filtered to provide and store only relevant objective and parameter values. A unique comparison module also guides the optimization module towards the optimum solution, even if no solutions have yet satisfied the objective completely. By caching simulation and/or optimization results (i.e. as opposed to raw simulation output data from the simulator), the simulations from previous simulation runs and different designers may be reused to reduce the time required for each optimization.