This plant control support system is provided with an acquisition unit, a generation unit, and an output unit, in order to provide a technique for appropriately supporting plant control without relying on the know-how and knowledge of experts and manuals. The acquisition unit acquires state information regarding the state of a plant. The generation unit uses a control model, and on the basis of the state information, generates control contents according to the state of the plant as proposed control contents. The control model is a model obtained by training the relationship between the control contents for controlling the plant and the control result obtained by executing the control of the control contents on the plant. The output unit outputs the proposed control contents.

The invention relates to a method for the automated determination of characteristic curves and/or characteristic maps of devices, which comprises the following method steps: acquisition of a measurement data set, execution of an iteration method with the iteration steps calculation of an iteration result from the measurement data set using a neural network, acquisition of a termination parameter, checking the termination parameter and terminating the iteration method if the termination parameter matches a termination criterion, as well as the optical visualization of the iteration result and the measurement data set and repeating the iteration steps.

The present teachings relate to a method comprising a plurality of sensors, and one or more functionally connected processing units, the method comprising: providing, at any of the one or more processing units, time-series residual data of a sensor object; the sensor object being a group of at least some of the sensors from the plurality of sensors, and wherein the residual data comprises, for each of the sensors of the sensor object, a residue signal which is a difference between the sensor's measured output and the sensor's expected output, monitoring, via any of the one or more processing units, a level signal; wherein the level signal is indicative of a collective time-based variation of the time-series residual data, monitoring, via any of the one or more processing units, an association signal; wherein the association signal is indicative of the variation and/or association structure of the time-series residual data, generating, via any of the one or more processing units, an anomaly event signal when at a given time a value of the level signal and/or a value of the association signal changes from an expected value of the respective signal at or around that time. The present teachings also relate to a monitoring and/or control system for a plant comprising a plurality of sensors, wherein the system comprises one or more processing units configured to perform the method steps of any of the steps herein disclosed, and a computer software product.

The purpose of the present invention is to provide a plant operation optimization assistance device, a plant operation optimization control device, and a method, which enable a reduction in computational load. The plant operation optimization assistance device is characterized by comprising: an input unit for inputting, as an input signal, an operation amount signal assigned to a plant and a process signal detected at the plant; a sensitivity estimation unit for taking, as a sensitivity signal, a time change amount of the process signal with respect to the operation amount signal; and a signal classification unit for sorting operational states of the plant from the input signal and giving an operational state signal, and also extracting, as a state-specific high-sensitivity signal, a sensitivity signal indicating high-sensitivity, from among sensitivity signals, for each of the sorted operational states.

Systems and methods for providing intelligent management of balance of plant are provided. According to one embodiment of the disclosure, a system for determining a malfunction of a feedwater pump includes one or more processors and a database communicatively coupled to the one or more processors. The one or more processors can be configured to receive plant parameters. The one or more processors can be further configured to correlate the plant parameters to historical operational values. Based at least partially on the correlating, the one or more processors may be operable to identify a malfunction in a feedwater pump. Based at least partially on the identifying, the one or more processors may be operable to provide an advisory action concerning an operation of the feedwater pump.

The present invention relates to an apparatus, system and method for monitoring plant. A sensor means can be adapted for receiving plant growth information of the plant being received inside a container. An indicating means can be adapted for indicating information of the plant growth information. A wireless communication means can be adapted for transmitting the plant growth information to an external device. A control means can select a working mode of the indicating means and the wireless communication means. Through the cooperative effect of the sensor means, the storage means, the indicating means and the wireless communication means, operators do not have to take along with instruments to perform measurement reading of the on-site plant growth information at a regular time, thereby saving labor cost and time cost of monitoring the plant growth information and improving efficiency of plant monitoring.

A control system for a technical plant, in particular a process or manufacturing plant, includes an operator station server and an operator station client, wherein the operator station server includes a computer implemented visualization service that transmits a plant mimic diagram to the operator station client that visually presents the plant mimic diagram to an operator of the control system, where a digital process image of the technical plant is implemented on the operator station server, the operator station server additionally enables the operator to continuously monitor a runtime operator specifiable state of an operator-specifiable measuring device of the technical plant, where the operator station server additionally notifies the operator of a state change of the measuring device, independently of a visual presentation of the plant mimic diagram, and where the measuring device state is obtainable from the digital process image of the technical plant implemented on the operator station server.

A plant operating condition setting support system for supporting the setting of a plant operating condition includes: a learning device that learns a regression model for calculating, from values of a plurality of state parameters indicating an operating condition of a plant and values of a plurality of manipulation parameters set to control an operation of the plant, a predicted value of an output indicating a result of operating the plant when the values of the plurality of manipulation parameters are set in the operating condition indicated by the values of the plurality of state parameters; and an operating condition setting support device that calculates the values of the plurality of manipulation parameters that should be set to control the operation of the plant, by using the regression model learned by the learning device.

A computing system for receiving operational data including process parameters generated by sensors in a plant. An analysis engine uses the operational data to automatically provide a first listing of worst performing process parameters, that when a selected poor performing process parameter is chosen generates a ranked filtered view of equipment parameters for associated processing equipment that may be affected by the selected poor performing parameter and a filtered view of recommendations for recognizing action(s) to fix the associated processing equipment and/or the selected poor performing process parameter, and/or a second listing of worst performing processing equipment that when a selected poor performing processing equipment is chosen generates a ranked filtered view of suspected process parameters that may be affected by the selected poor performing processing equipment along with a filtered view of recommendations for recognizing action(s) to fix the selected poor performing processing equipment and the suspected process parameters.

Provided is a supporting device for supporting an operation of a plant. The supporting device includes a question output unit that outputs a question based on process data of the plant; an answer reception unit that receives an answer to the question output from the question output unit; and an estimation information output unit that outputs estimation information that supports the operation of the plant on the basis of the answer received by the answer reception unit.