A safety system according to one or more embodiments including a safety controller that executes a safety program. The safety system includes: a collection unit configured to collect an input value over a predetermined period, the input value being a value of an input signal selected previously in one or a plurality of input signals input to the safety controller; and a visualization unit configured to reproduce a behavior of the safety program over the predetermined period based on the input value collected over the predetermined period, and to express visually an operating state of the safety program at an appointed point of time in the predetermined period.

The present invention relates to coal-fired power plants and flue gas emissions and more specifically, to controlling gaseous mercury emissions in the flue gas between two or more coal fired electric generating units within a contiguous power plant site to achieve environmental regulation limits for mercury emissions. This is accomplished by continuously adjusting the application rates of mercury oxidant, which is added to a coal feed to oxidize elemental mercury for improved mercury capturability and aqueous mercury precipitant (liquid), which is added to a scrubber liquor of a wet Flue Gas Desulfurization (FGD) unit to precipitate out oxidized mercury into solid form for improved capture and disposal.

Real-time identification and provision of preferred flight parameters is provided by obtaining flight data of aircraft flights and classifying the flight data according to categories, acquiring current flight parameters from devices of an aircraft during an in-process flight, comparing the current flight parameters to the classified flight data and identifying, in real-time during the in-process flight, and based on thresholds in correlations between the current flight parameters and the classified flight data, preferred action(s) to take and preferred flight parameter value(s) for the in-process flight given current conditions of the aircraft and surrounding environment as reflected by the current flight parameters, and providing the preferred flight parameter values to computer system(s) of the aircraft.

Real-time identification and provision of preferred flight parameters is provided by obtaining flight data of aircraft flights and classifying the flight data according to categories, acquiring current flight parameters from devices of an aircraft during an in-process flight, comparing the current flight parameters to the classified flight data and identifying, in real-time during the in-process flight, and based on thresholds in correlations between the current flight parameters and the classified flight data, preferred action(s) to take and preferred flight parameter value(s) for the in-process flight given current conditions of the aircraft and surrounding environment as reflected by the current flight parameters, and providing the preferred flight parameter values to computer system(s) of the aircraft.

Example implementations include a method of pre-bootup fault monitor of a LASER diode driver output, by applying a first power to a pre-bootup fault monitor device, setting a fault condition at the pre-bootup fault monitor device to a no-fault state, initiating the pre-bootup fault monitor device, determining whether a first impedance of driver output satisfies an impedance threshold, and in response to a determination that the first impedance satisfies the impedance threshold, applying a second power to the output device. Example implementations also include a system with a LASER output device, and a pre-bootup fault monitor device operatively coupled to the LASER output device, and operable to activate in response to receiving a first power, set a fault condition to a no-fault state, determine whether a first impedance of the output driver satisfies an impedance threshold, and, in response to a determination that the first impedance satisfies the impedance threshold, apply a second power to the LASER output device, and a power-on reset controller operatively coupled to the pre-bootup fault monitor and operable to, in response to the determination that the first impedance satisfies the impedance threshold, deactivate the pre-bootup fault monitor.

Example implementations include a method of pre-bootup fault monitor of a LASER diode driver output, by applying a first power to a pre-bootup fault monitor device, setting a fault condition at the pre-bootup fault monitor device to a no-fault state, initiating the pre-bootup fault monitor device, determining whether a first impedance of driver output satisfies an impedance threshold, and in response to a determination that the first impedance satisfies the impedance threshold, applying a second power to the output device. Example implementations also include a system with a LASER output device, and a pre-bootup fault monitor device operatively coupled to the LASER output device, and operable to activate in response to receiving a first power, set a fault condition to a no-fault state, determine whether a first impedance of the output driver satisfies an impedance threshold, and, in response to a determination that the first impedance satisfies the impedance threshold, apply a second power to the LASER output device, and a power-on reset controller operatively coupled to the pre-bootup fault monitor and operable to, in response to the determination that the first impedance satisfies the impedance threshold, deactivate the pre-bootup fault monitor.

In some examples, a distribution of values of a property of a given layer to be printed as part of three-dimensional (3D) printing is predicted, wherein the predicting is based on a distribution of values of the property in a previous layer that has been printed as part of the 3D printing. 3D printing of an object is controlled based on the predicted distribution of values of the property of the given layer.

In some examples, a distribution of values of a property of a given layer to be printed as part of three-dimensional (3D) printing is predicted, wherein the predicting is based on a distribution of values of the property in a previous layer that has been printed as part of the 3D printing. 3D printing of an object is controlled based on the predicted distribution of values of the property of the given layer.

Example implementations include a method of pre-bootup fault monitor of a LASER diode driver output, by applying a first power to a pre-bootup fault monitor device, setting a fault condition at the pre-bootup fault monitor device to a no-fault state, initiating the pre-bootup fault monitor device, determining whether a first impedance of driver output satisfies an impedance threshold, and in response to a determination that the first impedance satisfies the impedance threshold, applying a second power to the output device. Example implementations also include a system with a LASER output device, and a pre-bootup fault monitor device operatively coupled to the LASER output device, and operable to activate in response to receiving a first power, set a fault condition to a no-fault state, determine whether a first impedance of the output driver satisfies an impedance threshold, and, in response to a determination that the first impedance satisfies the impedance threshold, apply a second power to the LASER output device, and a power-on reset controller operatively coupled to the pre-bootup fault monitor and operable to, in response to the determination that the first impedance satisfies the impedance threshold, deactivate the pre-bootup fault monitor.

A safety system according to one or more embodiments including a safety controller that executes a safety program. The safety system includes: a collection unit configured to collect an input value over a predetermined period, the input value being a value of an input signal selected previously in one or a plurality of input signals input to the safety controller; and a visualization unit configured to reproduce a behavior of the safety program over the predetermined period based on the input value collected over the predetermined period, and to express visually an operating state of the safety program at an appointed point of time in the predetermined period.