A perfusion system includes a fluid reservoir configured to hold a portion of fluid, the portion of fluid having a volume, the fluid reservoir having a total capacity that is greater than the volume; an imaging device, the imaging device configured to obtain image data corresponding to the fluid reservoir; and a controller. The controller is configured to receive the image data from the imaging device; determine the volume based on the image data; and facilitate control, in response to at least one of a user input and the determined volume of the portion of fluid, of an operating parameter corresponding to the fluid reservoir to facilitate changing or maintaining the volume of the portion of the fluid.

A video surveillance system includes a plurality of video surveillance cameras each for producing a corresponding video stream, a server configured to receive and store the video streams, and a first control room having a video wall. The video wall may be operatively coupled to the server and may be configured to concurrently display two or more of the video streams from two or more of the plurality of video surveillance cameras in a first arrangement. The video surveillance system may further include a remote virtual reality headset with a display and a virtual reality controller operatively coupled to the virtual reality headset and the server. The virtual reality controller may be configured to receive the same two or more video streams that are displayed on the video wall in the first control room and display them in the virtual reality headset.

The objective of the present invention is to realize an operating state classification system having a classification accuracy that continuously improves through additional learning, and which is appropriately protected from unauthorized duplication of a classification function. In this operating state classification system, in which an edge device and a server are connected by means of a communication network, and which inputs sensor data into a neural network and outputs a state label: the edge device includes a first storage unit which stores an upstream side of the neural network, and a dimensionality reduction unit which inputs the sensor data into the upstream side of the neural network and outputs intermediate data; and the server includes a second storage unit which stores a downstream side of the neural network, an inference executing unit which inputs the intermediate data into the downstream side of the neural network and outputs the state label, and a learning unit which updates the downstream side of the neural network by means of additional learning.

A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

In one aspect, a method includes receiving data characterizing an alarm event report associated with a first industrial machine generated by a first user via a first web-based graphical user interface (GUI). The first web-based GUI associated with an enterprise monitoring system of an industrial enterprise that includes the first industrial machine. The alarm event report includes at least a portion of an event dataset including information of an alarm event associated with the first industrial machine, and an identity of a second user assigned to work on the alarm event report by the first user. The method further includes providing the alarm event report to a second web-based graphical user interface (GUI) associated with the enterprise monitoring system. The method also includes receiving, via a first GUI of a first monitoring system, data characterizing additional information associated with the alarm event and/or edits to the event dataset.

In some aspect, a method includes receiving data characterizing user selection of a industrial machine via a web-based graphical user interface (GUI) associated with an industrial enterprise including a plurality of industrial machines. The web-based GUI includes a first portion and a second portion. The first portion includes a first interactive graphical object indicative of a industrial machine of the plurality of industrial machines. The method also includes retrieving the data associated with the industrial machine from a first monitoring system configured to monitor the industrial machine. The method further includes generating a first visual representation of the data associated with the industrial machine. Generating the first visual representation is based on a first visual framework associated with a first identifier characteristic of the industrial machine. The method also includes displaying, in the second portion of the web-based GUI, the first visual representation.

A system and method for controlling automation includes a machine performing at least one operation and including a sensor for generating data in response to a performance of the operation by the machine. Data generated by the sensor is stored for retrieval by a server in data memory storage. The server includes at least one display template for displaying the data, and the server generates a data display by populating the at least one display template with the data. The data template can be populated with data in real time, to display the data display immediate to the generation of the data. The display template includes a data feature which is differentiated for displaying the data feature in a mode determined by the data populating the data display. The data display can be displayed in real time by a user device in communication with the server.

An apparatus, method and computer program product for: receiving information on a configurable set of devices defined as a follow-up group, the set of devices including at least one follow-up device configured to at least temporarily operate in a follow-up mode, receiving an instruction to select first process information provided by the industrial process control system, activating a follow-up mode on the at least one follow-up device, determining second process information based on the first process information and instructing the at least one follow-up device to present the second process information according to the follow-up mode.

An example embodiment involves rules related to repairing software programs, wherein the rules associate indications of software program failures with repair applications that are configured to correct the software program failures. One or more processors are configured to: (i) receive, by a predictive model, a representation of an execution history of a particular software program, wherein the predictive model has been trained on a corpus of execution histories of the software programs; (ii) generate, by the predictive model and from the execution history, a failure prediction for the particular software program; (iii) receive, by an automated repair controller application, the failure prediction from the predictive model; (iv) based on applying the rules to the failure prediction, determine, by the automated repair controller application, a repair application from the repair applications; and (v) cause, by the automated repair controller application, the repair application to be executed within the network.

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.