A method for performing a safe guard detection of unexpected operations launched by an operator for a manufacturing execution system (MED system) is based on a first database containing a set of operations, a set of operators, calendar information for a shift and calendar information for the equipment of the MES-system. The MES-systems further has a second database containing a login history of carried out logins of the operator. The detection of a malicious operation is carried out as to whether the operation complies with a set of rules defining allowed operations or with a learning module, in which specific roles of operators are contained and whether an operation complies with a specific role. In case of non-compliance, the operation is stored as an entry in an event trace file for generating alerts.

Methods, mediums, and systems include use of a system manger application in a data processing system for fault detection a building automation system using deep learning, to receive point data for a hardware being analyzed, where the received point data is contaminated data, train a deep learning model for the hardware being analyzed, generate predicted data based on the deep learning model, analyze the predicted data and the received point data, identify a fault in the hardware being analyzed according to the received point data and the predicted data, and produce a fault report according to the identified fault.

A method of operation of a machine control indicator located on a first machine includes the step of monitoring operational parameters of a second machine operationally associated with a first machine. Each of the operational parameters is associated with a common clock of the machine control indicator. The operational parameters are stored in a memory of the machine control indicator with a date and time stamp based on the common clock. The operational parameters are transmitted along with the date and time stamp to a user device separate from the first machine and the second machine. In one embodiment, the operational parameters comprise one or more of a weight value, a rotation value, a revolutions per minute value, a peak weight value, a gearbox temperature value, and a hydraulic pressure value.

A method includes the step of receiving a first weight value from a sensor associated with a feed mixer. A first rotation speed associated with the first weight value is monitored. A second weight value is received from the sensor associated with the feed mixer and a second rotation speed associated with the second weight value is monitored. A mixing profile is generated based on the first weight value, the second weight value, the first rotation speed, and the second rotation speed. In one embodiment, a first feed ingredient is associated with the first weight value and a second feed ingredient is associated with the second weight value.

A management apparatus monitors and/or controls a facility device. The management apparatus includes a setting unit, a storage unit, a determination unit, and an extraction unit. The setting unit sets association information associating identification information in order to specify a register used by the facility device with a data point regarding monitoring and/or control of the facility device. The storage unit stores history information that is association information previously set by the setting unit. The determination unit determines the use state of the register in the facility device. The extraction unit extracts the history information identical or similar to the use state of the register determined by the determination unit from the history information.

A system and approach of importing data from site controllers as history imports with a history service by a supervisor in conjunction with a host processor. The history service may reconfigure the history imports to provide the history service virtually full control over the history imports. The history service may runs a history import cycle to ensure that virtually all enabled history imports are performed. The history service may establish a list of history imports to be processed at a beginning of the history import cycle. The history import cycle may query virtually all history imports in an order on a last success time of a history import operation where an oldest time is first on the list. The history service may ensure a maximum number of history imports are running by querying for a count of history imports of an in progress state.

A method includes the step of receiving a first weight value from a sensor associated with a feed mixer. A first rotation speed associated with the first weight value is monitored. A second weight value is received from the sensor associated with the feed mixer and a second rotation speed associated with the second weight value is monitored. A mixing profile is generated based on the first weight value, the second weight value, the first rotation speed, and the second rotation speed. In one embodiment, a first feed ingredient is associated with the first weight value and a second feed ingredient is associated with the second weight value.

Methods, mediums, and systems include use of a system manger application in a data processing system to create a replay in a graphical user interface, to receive replay criteria, identify any replay devices, replay sensors, replay actuators, and replay functions corresponding to the replay criteria from among the plurality of devices, sensors, and actuators, identify a replay time period corresponding to the replay criteria, gather replay data for the identified replay devices, replay sensors, replay actuators, or replay functions corresponding to the replay criteria that was generated during the replay time period, and display the replay in the graphical user interface according to the replay data.

A configuration capable of maintaining cyclic execution of a control operation and storing data according to an execution cycle of the control operation is provided. A control device includes: a processing unit configured to cyclically perform a control operation with a predetermined execution cycle, wherein the control operation includes collection of input data from a field device, calculation of output data based on the input data in accordance with a predetermined user program, and output of the calculated output data; a database configured to store designated data from data managed by the processing unit in a time series; and a data writing means configured to perform data writing to the database with the same cycle as the execution cycle with which the control operation is cyclically performed.

A method of monitoring and assessing program variables of an industrial installation driven by a controller (C) by instructions programmed in a user program. Specific monitoring modules (MS1 to MSt) are implanted, as close as possible in time to the variable(s) (V1 to Vt) to be monitored to monitor evolution in real-time. During execution, each specific monitoring module (MSy) reads, in real-time, the logic state of each of variables which it monitors in an instantaneous cycle turn (TCi) of the controller (C), compares this logic state with the previously recorded logic state, and, only in the case of a state change, records the new logic state read as well as the real-time time-stamp of this event in a global memory unit (UM_G). The recorded metadata is analyzed in order to check behavior of the installation, use this production data and identify a possible malfunction of program and/or the installation.