A processing device (40) has: a plant control unit (24) that obtains, from an inputted process value (11), a manipulated variable (25) to be outputted in accordance with a control rule (22) and that outputs the manipulated variable to plant equipment; a monitoring necessity determination unit (34) that obtains, from the inputted process value (11), a monitoring level to be outputted in accordance with a monitoring condition signal (32) and that notifies a plant operator of the monitoring level; and a monitoring condition learning unit (31) that, when history data of the process value (11) is inputted as learning data, causes a monitoring condition storage unit (33) to store the monitoring condition signal (32) associated with the monitoring level with respect to a range of a current process value (11) on the basis of a probability of transition from the current process value (11) to a future process value (11).

A processing device (40) has: a plant control unit (24) that obtains, from an inputted process value (11), a manipulated variable (25) to be outputted in accordance with a control rule (22) and that outputs the manipulated variable to plant equipment; a monitoring necessity determination unit (34) that obtains, from the inputted process value (11), a monitoring level to be outputted in accordance with a monitoring condition signal (32) and that notifies a plant operator of the monitoring level; and a monitoring condition learning unit (31) that, when history data of the process value (11) is inputted as learning data, causes a monitoring condition storage unit (33) to store the monitoring condition signal (32) associated with the monitoring level with respect to a range of a current process value (11) on the basis of a probability of transition from the current process value (11) to a future process value (11).

A data processing method includes: obtaining a defect type of a sample set in response to a first input of a user on a first interface, the sample set including samples, each sample having a first parameter used to represent a defect degree of the sample with regard to the defect type and a second parameter used to represent device informations of sample production devices through which the sample passes; calculating yield purity indexes of sample production devices on the samples based on first parameters and second parameters of the samples, so as to obtain influencing parameters of the sample production devices, an influencing parameter of each sample production device being used to represent an influence degree to which the sample production device affects an occurrence of the defect type on the samples; and displaying the influencing parameters of the sample production devices on a second interface.

A data processing method includes: obtaining a defect type of a sample set in response to a first input of a user on a first interface, the sample set including samples, each sample having a first parameter used to represent a defect degree of the sample with regard to the defect type and a second parameter used to represent device informations of sample production devices through which the sample passes; calculating yield purity indexes of sample production devices on the samples based on first parameters and second parameters of the samples, so as to obtain influencing parameters of the sample production devices, an influencing parameter of each sample production device being used to represent an influence degree to which the sample production device affects an occurrence of the defect type on the samples; and displaying the influencing parameters of the sample production devices on a second interface.

A manufacturing process monitoring apparatus capable of determining a manufacturing process is anomaly, without requiring any threshold value for determining the as anomaly is provided. The manufacturing process monitoring apparatus includes a data conversion unit configured to convert process data of a manufacturing facility, a feature value analysis unit configured to analyze the converted data based on information on feature values, a data restoration unit configured to restore data for each of a plurality of categories based on the information on the feature values and information on the analyzed result, a similarity calculation unit configured to calculate a similarity for each of the plurality of categories based on the data used when being analyzed and the restored data, a category determination unit configured to determine a category of the data based on the similarity for each of the plurality of categories, a category classification unit configured to classify the category to which the process data belongs, and a process state diagnostic unit configured to diagnose a state of the manufacturing process based on a result of comparison between the determined category and the classified category.

An apparatus and method for executing a safety function is particularly applicable to monitoring a safety area of a technical installation. An imaging unit acquires an event that triggers the safety function within a defined working area. A controller carries out a safety-related reaction depending on the triggering event. A test unit is configured to verify the operability of the imaging unit and includes a processing unit and a projection unit. The projection unit projects a pattern with defined properties into the working area. The processing unit evaluates the image data acquired by the imaging unit to detect the projected pattern within the acquired image data. Further, the processing unit extracts the specific properties of the detected projected pattern, and compares the specific properties of the detected projected pattern with the defined properties.

An apparatus and method for executing a safety function is particularly applicable to monitoring a safety area of a technical installation. An imaging unit acquires an event that triggers the safety function within a defined working area. A controller carries out a safety-related reaction depending on the triggering event. A test unit is configured to verify the operability of the imaging unit and includes a processing unit and a projection unit. The projection unit projects a pattern with defined properties into the working area. The processing unit evaluates the image data acquired by the imaging unit to detect the projected pattern within the acquired image data. Further, the processing unit extracts the specific properties of the detected projected pattern, and compares the specific properties of the detected projected pattern with the defined properties.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

Various examples are disclosed for hybrid alert and action solution in Internet-of-Things (IoT) networks. A multi-edge alert definition specifies a plurality of IoT devices that communicate through edge devices. The multi-edge alert definition is decomposed decompose into individual edge alert sub-definitions. Each of the individual edge alert sub-definitions is evaluated using data from individual ones of the edge devices. An alert is triggered based on one of the individual edge alert sub-definitions being met.