Patent classifications
G05B23/0205
Control system
The present invention is capable of realizing normal control of a control device and safe operation of a control target. In the present invention, an automatic control unit 10 generates a control output that is output to a control target in response to an input 1. A safety verification control unit 20 is configured to verify safety of the control output at a plurality of verification levels, and controls the control output on the basis of the verification result. A verification level selection unit manages the state related to the normality of the automatic control unit 10, and selects the verification level of the safety of the control output in the safety verification control unit 20 in accordance with the state.
VISUAL RECOGNITION SYSTEM AND VISUAL RECOGNITION METHOD
A visual recognition system configured to display an unreceived-signal sensor among a plurality of sensors that are inspection targets includes: a reception unit configured to be capable of receiving a sensor output transmitted from each of the plurality of sensors, the sensor output including identification information on the sensor; an unreceived-signal sensor identification unit configured to identify, among the plurality of sensors, the unreceived-signal sensor, the sensor output from which has not been received by the reception unit; and a display unit configured to display the unreceived-signal sensor identified by the unreceived-signal sensor identification unit, to be visually recognizable by a viewer.
MANUFACTURING FACILITY DIAGNOSIS SUPPORT APPARATUS
There is provided a manufacturing facility diagnosis support apparatus that can support efficient diagnosis of a manufacturing facility even when past operation information on the manufacturing facility is not present. The diagnosis support apparatus includes a storage unit configured to store operation information in each of processes of a manufacturing facility for processing a material and information on a position of the material in association with each other, and an extraction unit configured to extract, when a range including the position of the material is designated, operation information changed at a position corresponding to the designated range, from the operation information stored in the storage unit. According to the diagnosis support apparatus, it is possible to support efficient diagnosis of the manufacturing facility even when the past operation information on the manufacturing facility is not present.
STATE CONTROLLER FOR A SYSTEM DRIVEN BY A COMMAND
A state monitor for monitoring the state of a system and including a calculator and a memory; the system being controlled by a command defining a plurality of modes of operation of the system, each mode of operation corresponding to applying a command of constant value; the memory containing a set of stored state matrices representing, for each mode of operation of the system, the value of the projection of its state in time; and the calculator being configured, during operation of the system, to determine estimated values for the state of the system at a given instant with the state functions and of its state at an earlier instant.
METHOD AND APPARATUS FOR AUTOMATED HAZARD DETECTION
A computer-based method for automated hazard detection for a technical system, the method includes the step of selecting an output failure mode of a component of a component fault tree of the technical system as a top level hazard. The computer-based method includes the step of generating a hazard information tree by means of a subtree of the component fault tree, wherein the subtree is selected by means of the top level hazard, wherein the subtree is modified by removing predefined nodes from the subtree and by enhancing output failure modes of the subtree with information from which component the output failure modes originate, wherein the modified subtree is saved in a memory unit as hazard information tree. The computer-based method includes the step of evaluating the hazard information tree, and providing a control signal comprising a result of the evaluation.
TECHNOLOGY CONFIGURED TO FACILITATE MONITORING OF OPERATIONAL PARAMETERS AND MAINTENANCE CONDITIONS OF PHYSICAL INFRASTRUCTURE
Technology is configured to facilitate monitoring of operational parameters and maintenance conditions of physical infrastructure. Some embodiments relate to an arrangement of hardware and software that are configured to perform monitoring of physical infrastructure operational parameters via a first set of sensor devices, and periodically write data to a blockchain, in combination with a second set of sensor devices that are configured to monitor for defined maintenance conditions, which are also written to the blockchain. This is preferably used as a means to drive determination of a reliability/availability measure for the infrastructure, and/or automatedly perform payment transactions for maintenance operations.
Wireless power initiated aircraft test system
A wireless power initiated test system can use an aircraft controller to automatically initiate a test sequence to determine status of systems of the aircraft, based on the detection of receipt of the wireless power at the aircraft. The detection of receipt of the wireless power at the aircraft can be based on the detection at a voltage regulator of the aircraft which is receiving the wireless power from a wireless power receiver of the aircraft. The system may also power the aircraft controller during the test sequence using the wireless power received. Such a system may quickly and efficiently initiate, power and perform a pre-flight test sequence to determine statuses of systems of the aircraft, such as during a competition or race of the aircraft. The system may apply to drones, as well as of other types of aircraft.
SYSTEMS AND METHODS FOR DETERMINING OPERATIONAL IMPACT ON TURBINE COMPONENT CREEP LIFE
A system includes a controller configured to control an operation of a turbine system, and an analytics system coupled to the controller and configured to receive inputs corresponding to the operation of the turbine system, generate an operational impact factor (OIF) value based at least in part on the inputs, generate a turbine system life prediction model configured to predict an operating life of one or more components of the turbine system based at least in part on the OIF value, and provide the OIF value to the controller to perform an action based thereon.
Centralized voltage controller and centralized voltage control system
A centralized voltage controller connected, via a communication network, to local voltage control units controlling voltage controllers, which are connected to a distribution line of a distribution system and control voltage of the distribution line, has: a voltage distribution determination unit calculating a controlled amount for each first voltage controller to be controlled among the plurality of voltage controllers, based on a measured value of voltage at each point of the distribution line; a tap position determination unit generating a command value to be given to each local voltage control unit based on the controlled amount; and a control state determination unit determining whether each voltage controller is a second voltage controller that fails to perform control according to the command value, and setting the voltage controllers except the second voltage controller to be the first voltage controller.
Method of utility usage divergence identification between recurring consumption data indicative of repeating periodic consumption patterns and utility consumption data
A method and apparatus for analysing utility consumption at a utility supply location is described. The method comprises the steps of: receiving utility consumption data corresponding to utility consumption at the utility supply location over a time period to be analysed; generating a recurring consumption model indicative of repeating consumption patterns in the utility consumption data; identifying divergences between the utility consumption data and the recurring consumption model; computing a diagnostic measure indicative of irregular consumption based on the identified divergences; and outputting the diagnostic measure. The diagnostic measure may be used to identify flexibility or irregularities in consumption and/or to control supply of the utility. The utility may be e.g. electricity, gas or water.