A condition determination system includes: an operation condition data obtaining unit that obtains operation condition data indicating an operation condition of a facility; and a determination unit that determines, based on the operation condition data, a level of a phenomenon that occurs due to the operation condition of the facility.

A method includes obtaining data associated with operation of an industrial process controller and identifying impacts of operational problems of the industrial process controller. The method also includes generating a graphical display for a user, where the graphical display presents one or more recommended actions to reduce or eliminate at least one of the impacts of at least one of the operational problems. The method further includes triggering at least one of the one or more recommended actions based on input from the user. The method could also include executing one or more analytic algorithms to process the obtained data and identify the operational problems of the industrial process controller. Each of the one or more analytic algorithms could be instantiated as a container, and multiple containers could be instantiated and executed as needed. Results of executing the one or more analytic algorithms could be transformed into a standard format.

This technology enables a receipt of a plurality of readings from a sensor monitoring a piece of equipment in a building. The receipt enables an identification of a present fault or a projected fault in the piece of equipment. The identification enables a generation of an augmented reality content related to the present fault or the projected fault. The augmented reality content is sent to a mobile device when the mobile device is in proximity of the piece of equipment.

To achieve the object of making it easier to collectively grasp the state of the production line, an information processing method includes a first screen displaying step and a second screen displaying step. A first screen displaying step displays a first screen including a plurality of widgets. Each of the widgets is configured based on information outputted from application software which is associated with each of the widgets among a plurality of pieces of application software that manage a state of a production line. A second screen displaying step, when an operation performed on any widget of the plurality of widgets has been accepted, displays a second screen of application software which is associated with the widget.

Various embodiments of the present technology comprise systems and methods for testing automated industrial process routines. In some examples, a software object that corresponds to a physical device in an automated industrial environment is integrated into a test routine comprising other software objects that correspond to other physical devices in the automated industrial environment. A test script of the software object is executed to test the compatibility between the software object and the other software objects in the test routine and the performance of the software object in the test routine. Test results are generated that comprise virtual measurements for the software object.

Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

A system and method for determining the operating conditions a machining operation includes a sensor array, a data acquisition system, and a computing device. The sensor array includes one or more sensors, such as a power, force, acoustic, fluid, or displacement sensor, configured to detect certain operational characteristics of the machining operating and machining tool. The sensor array is coupled to a computing device via a data acquisition system. The computing device runs software that outputs in human-readable format sensor data generated by the data acquisition system. The user can thereby detect anomalies in the machining operating, including errors or poor tolerances with the machining tool, such as a grinding of polishing wheel. The computing device can also send feedback signals to the machining tool to address detected anomalies. The computer software is configured to output up to eight (8) channels of data received from the sensor array.

A trace assistance device includes a memory section, an acquisition section, and an output section. The memory section stores a manipulation log and an operation log. When a predetermined trigger event occurs during the board work, the acquisition section acquires at least one target manipulation history related to the trigger event, a target operation history associated with the target manipulation history, a comparison manipulation history that is the same as or similar to the target manipulation history, and a comparison operation history associated with the comparison manipulation history from the manipulation log and the operation log stored in the memory device. The output section is configured to output an operation of the board production line recorded in the target operation history and an operation of the board production line recorded in the comparison operation history, which are acquired by the acquisition section, in a comparable manner.

The embodiments of the present disclosure disclose an intelligent manufacturing Industrial Internet of Things based on a platform network in a post-sub type and control methods thereof. The Industrial Internet of Things includes a management platform, which includes a plurality of management sub-platforms and a general platform database, wherein each of the management sub-platforms performs production calculation based on first operation data to generate first calculation result data, and sends the first calculation result data to the general platform database; and the general platform database performs the production calculation based on second operation data to generate second calculation result data, and generates adjustment parameters of production devices according to the second calculation result data and the first calculation result data.

A plant management method includes: acquiring correlation information indicating a correlation between a component subjected to a cyberattack and a component to be possibly affected by the cyberattack when a plant including a plurality of components is subjected to the cyberattack; and zoning the plurality of components on the basis of the correlation information.