A big data network or system for a process control system or plant includes a data storage device configured to receive process control data from control system devices and store the process control data. The big data network or system identifies various parameters or attributes from the process control data, and creates and uses rowkeys to store the parameters according to various combinations, such as combinations using timestamps. The big data network or system may also store certain aggregate data analyses associated with time periods specified by the timestamps. Accordingly, the big data network or system efficiently stores real-time data having measurements within a database schema, and users or administrators can leverage the aggregate data to analyze certain data associated with certain time periods.

The invention is adapted to acquire more useful log data. A master device (4) includes a timer element (45), adapted to acquire a moment; an instruction sending element (421), adapted to synchronize a moment measured by a slave timer element (14) of slave devices (1-3) with a moment acquired by the timer element (45) according to a time synchronization instruction containing moment information corresponding to the moment acquired by the timer element (45); and a slave log receiving element (423), adapted to receive slave logs (131).

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.

Provided herein are systems, methods, and software for preserving timestamp data in an industrial automation environment. In one implementation, one or more computer-readable storage media having program instructions stored thereon to preserve timestamp data in an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least receive, at a controller, event data of an event from an electronic device, wherein the event data comprises a status of the event and the timestamp of the event. The program instructions also direct the computing system to determine an identification value based on the event data and load the status of the event, the timestamp of the event, and the identification value to a queue within the controller. The timestamp of the event includes the timestamp transmitted from the electronic device.

A numerical controller in the present invention includes a bus trace circuit configured to fetch a bus cycle satisfying preset conditions, an alarm history, an alarm data acquisition table in which whether to acquire trace data is recorded for each alarm, and a trace circuit setting table in which fetching conditions of the bus cycle of the bus trace circuit are recorded for each alarm, and identifies an alarm for which the trace data is to be fetched from the alarm history and the alarm data acquisition table, reads the fetching conditions of the bus cycle corresponding to the alarm from the trace circuit setting table, sets the fetching conditions to the bus trace circuit, and acquires the trace data of the bus cycle based on the fetching conditions that are set through the bus trace circuit.

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.

Provided herein are systems, methods, and software for preserving timestamp data in an industrial automation environment. In one implementation, one or more computer-readable storage media having program instructions stored thereon to preserve timestamp data in an industrial automation environment, wherein the program instructions, when executed by a computing system, direct the computing system to at least receive, at a controller, event data of an event from an electronic device, wherein the event data comprises a status of the event and the timestamp of the event. The program instructions also direct the computing system to determine an identification value based on the event data and load the status of the event, the timestamp of the event, and the identification value to a queue within the controller. The timestamp of the event includes the timestamp transmitted from the electronic device.

A big data network or system for a process control system or plant includes a data storage device configured to receive process control data from control system devices and store the process control data. The big data network or system identifies various parameters or attributes from the process control data, and creates and uses rowkeys to store the parameters according to various combinations, such as combinations using timestamps. The big data network or system may also store certain aggregate data analyses associated with time periods specified by the timestamps. Accordingly, the big data network or system efficiently stores real-time data having measurements within a database schema, and users or administrators can leverage the aggregate data to analyze certain data associated with certain time periods.

A big data network or system for a process control system or plant includes a data storage device configured to receive process control data from control system devices and store the process control data. The big data network or system identifies various parameters or attributes from the process control data, and creates and uses rowkeys to store the parameters according to various combinations, such as combinations using timestamps. The big data network or system may also store certain aggregate data analyses associated with time periods specified by the timestamps. Accordingly, the big data network or system efficiently stores real-time data having measurements within a database schema, and users or administrators can leverage the aggregate data to analyze certain data associated with certain time periods.