A remote integrated monitoring operation system includes: a unit integrated database for sequentially recording a name of each plant unit, a parameter indicating an event that has occurred in the plant unit, a state of the parameter, and warning classification indicated by the parameter and the state; an inter-unit influence degree evaluation database for recording influence of the event on the other plant unit; a restoration response guidance database for defining a response to the event; a per-unit urgency degree determination section for determining a degree of urgency of each plant unit; an inter-unit influence degree determination section for evaluating a degree of influence of the event on the other plant unit; and a priority determination section for determining priorities between the respective plant units from the degree of urgency and the degree of influence.

According to the disclosure, a position of a main control valve and a position of an auxiliary control valve are adjusted. In particular, a position of the auxiliary control valve is adjusted by determining whether a change in the position of the main control valve is in a preset deadband range, thereby preventing a periodic water level fluctuation of a steam generator.

The present disclosure relates to an online monitoring method of a nuclear power plant system based on an isolation forest method and a sliding window method. An isolation forest method used in the present disclosure is an abnormal detection model based on the idea of binary tree division, and has no requirements on the dimension and linear characteristics of monitoring data. In view of the characteristics of strong nonlinearity and high dimension of operation data of the nuclear power plant system, in the process of state monitoring, system abnormalities can be detected more quickly and accurately. In the present disclosure, a sliding window method is used to improve an isolation forest model, so that the improved isolation forest model has the functions of model online updating and real-time state monitoring, and the usability of an isolation forest state monitoring method is enhanced.

An abnormality diagnosis system for diagnosing an abnormality event in an atomic power generation plant on the basis of an abnormality indication detection result from an abnormality indication monitoring system is provided with an abnormality diagnosis control unit which acquires a parameter transition in a monitoring period from a non-detection timing to an indication detection timing, and a parameter contribution in the monitoring period and a database. The abnormality diagnosis control unit executes a matching determination between the parameter transition and parameter contribution that have been acquired from the abnormality indication monitoring system, and a parameter transition for determination and a parameter contribution for determination that have been stored in the database, and identifies an abnormality event and an abnormality indication facility that are associated with the parameter transition and parameter contribution determined to be matching.

A nuclear-reactor control-absorber drive mechanism includes a device for monitoring a potential situation of increase to overspeed of the absorber, configured to measure the number of control steps delivered to at least one of the first, second and third phases of the stator during a time window of preset duration or the number of rotation steps of the rotor during a time window of preset duration. The drive is also configured to compare the number of measured control steps with a preset maximum or the number of measured rotation steps with a preset maximum.

An atomic power plant operation system for assisting the operation of an atomic power generation plant is provided with: an operation monitoring system which monitors and controls the operation of the atomic power generation plant; an abnormality indication monitoring system which, on the basis of an operation history of the atomic power generation plant, monitors an indication of abnormality in the atomic power generation plant; an abnormality diagnosis system which, on the basis of a result of abnormality indication that has been detected, makes an abnormality diagnosis for the atomic power generation plant; and a maintenance system for performing maintenance and management of the atomic power generation plant, wherein the systems are communicably connected, and the abnormality diagnosis system provides the maintenance system with the result of the abnormality diagnosis of the atomic power generation plant.

A field programmable gate array comprising: plurality of functional blocks at least one of the functional blocks comprising at least one function, at least one of the functions using a parameter, wherein the functional blocks are adapted to perform the at least one function in a calculation phase; a data conveyor comprising a plurality of data slots, wherein each functional block is, in a data transfer phase, adapted to receive input data from one or more predefined first slots and/or to provide output data into one or more predefined second slots; and a configuration circuit adapted to configure the parameter for the at least function using the parameter and to define the one or more first slots and/or the one or more second slots for at least one functional block, wherein the field programmable gate array is adapted to cyclically repeat the data transfer phase and calculation phase.

A nuclear-reactor control-absorber drive mechanism includes a device for monitoring a potential situation of increase to overspeed of the absorber, configured to measure the number of control steps delivered to at least one of the first, second and third phases of the stator during a time window of preset duration or the number of rotation steps of the rotor during a time window of preset duration. The drive is also configured to compare the number of measured control steps with a preset maximum or the number of measured rotation steps with a preset maximum.

The present disclosure relates to an online monitoring method of a nuclear power plant system based on an isolation forest method and a sliding window method. An isolation forest method used in the present disclosure is an abnormal detection model based on the idea of binary tree division, and has no requirements on the dimension and linear characteristics of monitoring data. In view of the characteristics of strong nonlinearity and high dimension of operation data of the nuclear power plant system, in the process of state monitoring, system abnormalities can be detected more quickly and accurately. In the present disclosure, a sliding window method is used to improve an isolation forest model, so that the improved isolation forest model has the functions of model online updating and real-time state monitoring, and the usability of an isolation forest state monitoring method is enhanced.

Power systems and methods of controlling power systems are disclosed. The system may include a power plant system (PPS) including a component and at least one computing device in communication with the PPS. The computing device(s) may be configured to control the PPS by performing processes including determining if an operational anomaly for the component occurred during operation of the PPS. In response to determining that the operational anomaly did not occurr, the computing device(s) may also perform processes including determining a first operational reliability of the component. In response to determining the operational anomaly occurred, the computing device(s) may also perform processes including determining a second operational reliability of the component based on the determined operational anomaly. Additionally, the computing device(s) may perform processes including adjusting operation of the PPS in response to the first operational reliability or the second operational reliability exceeding a predetermined operational reliability threshold.