A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.

Process control of continuous production of biomolecules is a major challenge due to complex nature of processes and time scales of operations involved. Availability of key process variables in real-time is one of main requirements. This disclosure relates to a processor implemented method of controlling a continuous bioprocessing plant which includes at least one of: receiving, an input data associated with one or more equipments; generating, by a recipe builder, a sequence of unit operations to determine at least one job order based on the at least input data; obtaining, a control decision associated with a control parameter based on the at least one job order; communicating, via the middleware, the control decision associated with the control parameter to the PLC; and executing, by a control system of the PLC, the control decision on a unit equipment to control: (i) a continuous bioprocessing train, and (ii) an individual unit operation.

A method of operating an intelligent programmable logic controller includes executing, by a processor included in the intelligent programmable logic controller, a control program. A non-volatile storage medium included in the intelligent programmable logic controller stores a control model comprising control knowledge related to the control program. The control model is used to perform a monitoring operation related to execution of the control program on the intelligent programmable logic controller.

A control architecture includes at least one programmable logic controller and at least one cloud computing system. An automation program of the controller includes at least one predefined control module. The cloud computing system is designed to store first data in accordance with a model of input data and second data in accordance with a model of output data. At least one first hardware and/or software entity is designed to publish the first data in the cloud computing system with a view to being read by the programmable logic controller when it executes the predefined control module. At least one second hardware and/or software entity is designed to read the second data published in the cloud computing system by the programmable logic controller when it executes the predefined control module.

A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.

A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes the intelligent programmable logic controller executing a control program and one or more reasoning algorithms for analyzing data received and transmitted by the intelligent programmable logic controller. The intelligent programmable logic controller receives one or more user-specified declarative knowledge models from an external source via a deployment interface included in the intelligent programmable logic controller. The intelligent programmable logic controller dynamically modifies the reasoning algorithms during runtime of the control program based on the user-specified declarative knowledge models.

A method for analyzing data provided by a robot system located in a plant. The method includes operating a plurality of robots in the robot system and collecting first level data concerning operating parameters of each robot while they are being operated. The method further includes analyzing the first level data in a first data collection device located in the plant using first level analyzation software, analyzing the analyzed first level data collected in a second data collection device using second level analyzation software, and analyzing the analyzed second level data collected in a third data collection device in the cloud using third level analyzation software. A web portal outside of the plant can be used to gain access to the analyzed third level data.

A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.

Process control of continuous production of biomolecules is a major challenge due to complex nature of processes and time scales of operations involved. Availability of key process variables in real-time is one of main requirements. This disclosure relates to a processor implemented method of controlling a continuous bioprocessing plant which includes at least one of: receiving, an input data associated with one or more equipments; generating, by a recipe builder, a sequence of unit operations to determine at least one job order based on the at least input data; obtaining, a control decision associated with a control parameter based on the at least one job order; communicating, via the middleware, the control decision associated with the control parameter to the PLC; and executing, by a control system of the PLC, the control decision on a unit equipment to control: (i) a continuous bioprocessing train, and (ii) an individual unit operation.

A method of operating an intelligent programmable logic controller includes executing, by a processor included in the intelligent programmable logic controller, a control program. A non-volatile storage medium included in the intelligent programmable logic controller stores a control model comprising control knowledge related to the control program. The control model is used to perform a monitoring operation related to execution of the control program on the intelligent programmable logic controller.