A process control system includes: one or a plurality of field devices configured to be placed in a plant; and a control apparatus configured to perform at least one of input and output on the field device to control the plant; and a change trend calculation device configured to calculate a change trend in time-series data including an observed value at each point in time of the field device.

A diagnostic apparatus of the invention acquires normal data related to an operating state during normal operation of an industrial machine, stores the normal data, generates a learning model by learning based on the stored normal data, and performs an estimation process for normality or abnormality of an operation of the industrial machine using the learning model. The diagnostic apparatus of the invention further generates verification data including at least one piece of abnormal data based on the stored normal data to verify validity of the learning model on receiving a result of the estimation process using the learning model based on the verification data.

Systems, computer program products, and methods are described herein for a centralized resource transfer engine for facilitating resource transfers between distributed IoT devices. The present invention is configured to receive, from a first autonomous IoT device, a transaction authorization request to execute a transaction with a second autonomous IoT device; receive information associated with the first autonomous IoT device, information associated with the second autonomous IoT device, and information associated with the transaction; determine one or more constraints associated with the transaction; determine that the first autonomous IoT device is authorized to execute the transaction with the second autonomous IoT device within the one or more constraints; transmit a transaction authorization to the first autonomous IoT device to execute the transaction within the one or more constraints; and receive, from the first autonomous IoT device, an indication that the transaction has been executed.

Systems, computer program products, and methods are described herein for a centralized resource transfer engine for facilitating resource transfers between distributed IoT devices. The present invention is configured to receive, from a first autonomous IoT device, a transaction authorization request to execute a transaction with a second autonomous IoT device; receive information associated with the first autonomous IoT device, information associated with the second autonomous IoT device, and information associated with the transaction; determine one or more constraints associated with the transaction; determine that the first autonomous IoT device is authorized to execute the transaction with the second autonomous IoT device within the one or more constraints; transmit a transaction authorization to the first autonomous IoT device to execute the transaction within the one or more constraints; and receive, from the first autonomous IoT device, an indication that the transaction has been executed.

A method includes receiving part data associated with a corresponding part of substrate processing equipment, sensor data associated with one or more corresponding substrate processing operations performed by the substrate processing equipment to produce one or more corresponding substrates, and metrology data associated with the one or more corresponding substrates produced by the one or more corresponding substrate processing operations performed by the substrate processing equipment that includes the corresponding part. The method further includes generating sets of aggregated part-sensor-metrology data including a corresponding set of part data, a corresponding set of sensor data, and a corresponding set of metrology data. The method further includes causing analysis of the sets of aggregated part-sensor-metrology data to generate one or more outputs to perform a corrective action associated with the corresponding part of the substrate processing equipment.

Embodiments described herein relate to a system for processing manufacturing data, comprising: an edge device; a cloud platform; a sensing device configured to collect manufacturing data and to provide the collected data to the edge device; wherein the edge device and the cloud platform are each configured to carry out a plurality of data processing functions on the manufacturing data; the system further comprising a resource manager configured to communicate with the edge device and with the cloud platform, wherein the resource manager is further configured to: determine whether each of the plurality of data processing functions is to be carried out at the edge device or at the cloud platform; if it is determined that the plurality of data processing functions is to be carried out at the edge device, instruct the edge device to carry out the plurality of data processing functions; if it is determined that the plurality of data processing functions is to be carried out at the cloud platform, instruct the cloud platform to carry out the plurality of data processing functions; and if it is determined that at least one of the plurality of data processing functions is to be carried out at the edge device and at least one other data processing function is to be carried out at the cloud platform, instruct the edge device to carry out the at least one of the plurality of data processing functions and instruct the cloud platform to carry out the at least one other data processing function.

A programmable device (D) arranged in a production environment, to assist an operator (O) in performing manual assembly operations carried out by the operator (O), particularly during assembly operations performed on pieces (P) transported by pallets (5) in a production line (1). The device (D) comprises an assembly means usable by the operator (O), a lighting device (4) for lighting a work area in which the operator (O) works, a sensor (6) configured to detect the position of the assembly means, an input device (10) usable by the operator, and an electronic control system (8) configured to memorize a learning sequence including a sequence of manual assembly operations.

Embodiments described herein relate to a system for processing manufacturing data, comprising: an edge device; a cloud platform; a sensing device configured to collect manufacturing data and to provide the collected data to the edge device; wherein the edge device and the cloud platform are each configured to carry out a plurality of data processing functions on the manufacturing data; the system further comprising a resource manager configured to communicate with the edge device and with the cloud platform, wherein the resource manager is further configured to: determine whether each of the plurality of data processing functions is to be carried out at the edge device or at the cloud platform; if it is determined that the plurality of data processing functions is to be carried out at the edge device, instruct the edge device to carry out the plurality of data processing functions; if it is determined that the plurality of data processing functions is to be carried out at the cloud platform, instruct the cloud platform to carry out the plurality of data processing functions; and if it is determined that at least one of the plurality of data processing functions is to be carried out at the edge device and at least one other data processing function is to be carried out at the cloud platform, instruct the edge device to carry out the at least one of the plurality of data processing functions and instruct the cloud platform to carry out the at least one other data processing function.

In one aspect, a heat exchanger system is provided that includes a cooling system and a sensor configured to detect a variable of the cooling system. The heat exchanger system includes processor circuitry configured to provide the variable and a plurality of potential operating parameters of the cooling system to a machine learning model representative of the cooling system to estimate at least one of energy consumption, water usage, and chemical usage for the potential operating parameters. The processor circuitry is further configured to determine, based at least in part on the estimated at least one of energy consumption, water usage, and chemical consumption, for the potential operating parameters, an optimal operating parameter of the cooling system to satisfy a target optimization criterion.

On the basis of received first region information indicating a first region, which is a region designated for an acquired picked-up image of a plurality of target objects, and second region information indicating a second region different from the first region, a robot control device causes a robot to grip the target object for which the second region not overlapping the first region of another of the target objects is designated and does not cause the robot to grip the target object, the second region for which overlaps the first region of the other target object.