A SCADA web HMI system generates an integrated component by grouping components including a first component and provides a first animation effect to the integrated component. The first animation effect is applied to the integrated component as a whole but not individually applied to components constituting the integrated component. The system provides a second animation effect to the first component. The second animation effect is applied to the first component but not applied to the components constituting the integrated component except for the first component. The system associates the first animation effect with the value of a first PLC signal and changes the appearance of the integrated component according to the value of the first PLC signal. The system associates the second animation effect with the value of a second PLC signal and changes the appearance of the first component according to the value of the second PLC signal.

A SCADA web HMI system generates an integrated component by grouping components including a first component and provides a first animation effect to the integrated component. The first animation effect is applied to the integrated component as a whole but not individually applied to components constituting the integrated component. The system provides a second animation effect to the first component. The second animation effect is applied to the first component but not applied to the components constituting the integrated component except for the first component. The system associates the first animation effect with the value of a first PLC signal and changes the appearance of the integrated component according to the value of the first PLC signal. The system associates the second animation effect with the value of a second PLC signal and changes the appearance of the first component according to the value of the second PLC signal.

An optimal control method for wastewater treatment process (WWTP) based on a self-adjusting multi-task particle swarm optimization (SA-MTPSO) algorithm belongs to the field of WWTP. To balance the relationship between the effluent water quality (EQ) and energy consumption (EC) and achieve optimization online quickly, the invention establishes a data-based multi-task optimization model for WWTP to describe the relationship between the control variables and EQ, EC. Then, the SA-MTPSO algorithm is adopted to solve the optimal set-points of the nitrate nitrogen and dissolved oxygen concentration for WWTP. The PID controller is used to track the optimal set-points, so as to reduce EC while ensuring EQ, and realize the online optimal control of WWTP.

A system for production of liquid food (P) comprises a food processing arrangement (2) and a computer device (3), e.g. a PLC. The computer device (3) sequentially executes a control program (5A) to control the food processing arrangement (2) to perform processing steps for producing the liquid food (P) from one or more ingredients in accordance with a predefined recipe. The program comprises command instructions that each allocates a respective processing step to a predefined control command among a predefined set. To enable parallelism, despite the sequential execution by the computer device (3), the set of control commands comprises a start command which is associated, by the computer device (3), with an action of: starting the food processing step that is allocated to the start command and proceeding, without waiting for the food processing step to be completed, to a subsequent instruction in the list of instructions.

A boom sprayer includes any number of components to treat plants as the boom sprayer travels through a plant field. The components take actions to treat plants or facilitate treating plants. The boom sprayer includes any number of sensors to measure the state of the boom sprayer as the boom sprayer treats plants. The boom sprayer includes a control system to generate actions for the components to treat plants in the field. The control system includes an agent executing a model that functions to improve the performance of the boom sprayer treating plants. Performance improvement can be measured by the sensors of the boom sprayer. The model is an artificial neural network that receives measurements as inputs and generates actions that improve performance as outputs. The artificial neural network is trained using actor-critic reinforcement learning techniques.

A safety instrumented system (SIS) includes safety controllers, and safety input/output (I/O) modules coupled to safety field devices that are coupled in parallel with a process control system's field devices to processing equipment which is configured and controlled to run a process. An I/O mesh network between the safety controllers and the safety I/O modules is configured for selecting any safety controller to become coupled to any safety I/O module to function as a pool of safety I/O modules so that any safety controller is configurable to receive sensor signals from and transmit control signals to any safety field device. The safety field devices are for monitoring process variable(s) for the process so that when one of the safety controllers recognizes a hazardous condition regarding the processing equipment, the SIS independently takes action to keep the processing equipment under control or bring it to a safe state.

The communication master repeats transmission of first information indicating a counter value of a synchronization counter of the communication master to the one or more communication slaves through a network. Each of the one or more communication slaves updates the counter value of the synchronization counter of each of the one or more communication slaves based on the received first information upon receiving the first information from the communication master. The communication master manages a total number of pieces of the first information transmitted for each of the one or more communication slaves, and estimates synchronization accuracy with respect to the communication master for each communication slave based on a number of transmissions of the first information for each communication slave.

System to design and/or update programs for the operator interface of machines and/or plants that comprises at least one first calculation device dedicated to the management of a machine and/or plant, which contains at least one application program to manage the human-machine interface (HMI) of the machine and/or plant, and a second calculation device to execute a software, or development environment, to create a project file, wherein on the first calculation device and on the second calculation device respective communication programs are installed, suitable to transfer the project to the first calculation device, where the application program for the management of the HMI interface displays the project by means of a suitable OPC UA standard information model, by means of which it is possible to make modifications to the project dynamically, without interrupting the execution of the human-machine interface program, and so that every modification to the project, and therefore to the human-machine interface program, is immediately displayed and used by the human-machine interface.

The present disclosure provides a method and a system for automatically configuring an I/O port. The method applied to a central processor includes: receiving request information from a controlled device, the request information carrying a type of a signal required by the controlled device, and sending, according to the type of the signal, a configuration instruction to a control device, and instructing the control device to configure the I/O port according to the configuration instruction. The controlled device is connected to the central processing unit, or the controlled device is connected to the central processor by means of the control device.

Proximity triggered water fountains may have proximity sensors configured to detect target(s), a processing unit communicably coupled to proximity sensors configured to transfer data related to the target(s) to the processing unit, nozzles and nozzle controllers, and collectors configured to receive water projected from the nozzles. The nozzle controllers may be controlled based on data received from the sensors. The nozzle controllers may be coupled to the nozzles of a water circulation system configured to adjust a water projection angle from the nozzles with respect to the ground. The water circulation system may use tank(s), pump(s), and supply and return line(s), with the nozzles, tank(s), pump(s), and supply and return line(s), being in fluid communication. The nozzles and collectors may be displaced a horizontal distance from each other such that outlets of the nozzles are not vertically above the collectors.