A device for creating the monitoring image executes display data for each display component. The display component includes an edition region and an operation check region. An operation can be checked using the operation check region while the monitoring image is created using the edition region. A monitoring image without switching devices is efficiently created.

An example method of implementing a control interface for metric definition specification for asset-driven hierarchy includes: causing display of a user interface for configuring a metric definition for a metric of an asset node of the asset hierarchy; receiving, via the user interface, a metric determination specification comprising an identification of a metric component, an identification of an operation to apply to the metric component, and metric time factors corresponding to time-related aspects of the metric definition; and reflecting, in a computer storage, the metric definition comprising an association of the metric determination specification with the metric.

A power system energy management system with dynamic state estimation (DSE) is disclosed wherein system dynamic states are estimated using SCADA measurements, PMU measurements, signals of controllers, digital recorders, protection devices, and smart electronic devices. The DSE is solved first by Unscented Kalman Filter, and if the Unscented Kalman Filter is failed, weighted lease square is used to solve the DSE. If weighted lease square is failed, integration method is used to calculate the dynamic states. In another aspect, Unscented Kalman Filter, weighted lease square, and integration calculation are applied to solve the DSE by nodal parallel computing for each generation system.

A programmable discrete input module is described. In one or more implementations, the programmable discrete input module comprises a pulse width modulation module configured to generate a pulse width modulated signal based upon an input signal and a pulse width demodulation module configured to generate a demodulated pulse width signal. An isolator is configured to isolate the pulse width modulation module and the pulse width demodulation module and to generate isolated modulated pulse width signal based upon the pulse width modulated signal for the pulse width demodulation module to generate the demodulated pulse width signal. The programmable discrete input module also includes a first comparator and a second comparator for comparing the demodulated pulse width signal with a respective programmable reference and a digital filter configured to filter a comparison signal output by the first comparator or the second comparator to generate a discrete input signal.

A parallel control method for an intelligent workshop is provided, comprising the following steps: step A: constructing a parallel control simulation platform; step B: establishing a parallel execution mechanism; and, step C: correcting and optimizing a parallel control system. A parallel control system for an intelligent workshop is provided, comprising: an MES module configured to issue production instructions to unit management modules; the unit management modules configured to convert the received production instructions into machine instructions and synchronously issue the machine instructions to underlying PLCs by a bus control network module, and drive the parallel control simulation platform and a field device to move by a soft PLC and a hard PLC; the bus control network module configured to establish a communication network among the MES module, an SCADA module, an industrial personal computer, physical devices and a whole-line simulation model; and, the SCADA module.

Systems, computer readable media, and method concern assigning an abstraction representation to data associated with a system of the SCADA environment. The method also includes providing the abstraction representation to a control system associated with the system of the SCADA environment. The control system is implemented in a computer system. Further, the method includes receiving actual data from the system of the SCADA environment. Additionally, the method includes generating abstract data from the actual data using the abstraction representation. The method, also includes forwarding the abstract data to the control system.

A power system energy management system with dynamic state estimation (DSE) is disclosed wherein system dynamic states are estimated using SCADA measurements, PMU measurements, signals of controllers, digital recorders, protection devices, and smart electronic devices. The DSE is solved first by Unscented Kalman Filter, and if the Unscented Kalman Filter is failed, weighted lease square is used to solve the DSE. If weighted lease square is failed, integration method is used to calculate the dynamic states. In another aspect, Unscented Kalman Filter, weighted lease square, and integration calculation are applied to solve the DSE by nodal parallel computing for each generation system.

The present application relates to the technical field of industrial data processing, and in particular relates to a field data processing method, apparatus and system, which are used to realize the timely processing of field data. In the embodiments of the present application, a field data processing apparatus located on an industrial site of an industrial system receives field data from at least a field apparatus on the industrial site, and processes the received field data and provides the processing result of the field data. In this way, untimely processing of field data can be avoided.

A supervisory control and data acquisition (SCADA) unit and technique for managing communications over a network of defined capacity. The unit and techniques include safeguarding the network while allowing for operations to proceed at an oilfield. The safeguards allow for multiple additional and different types of equipment to be added to or removed from the network while being managed by a single SCADA unit. This may be achieved through unique filtering protocols which prevent unidentified and/or unconfirmed equipment and devices from being added to the network merely due to be detected at the oilfield.

A method is provided for monitoring and logging data related to a compressed gas operation. A communication interface is coupled to a device supporting a compressed gas operation. Data related to the compressed gas operation is automatically collected via the communication interface at a first data store every first time increment of a first time period. Portions of the data from the first data store are automatically collected at a second data store every second time increment of each first time period. The second time increment is greater than the first time increment, and the portions of the data are collected for a second time period which is greater than the first time period.