The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

An information processing method for detecting conditions of a plurality of manufacturing devices respectively used by a plurality of entities includes acquiring sensor value data obtained by detecting physical quantities related to the manufacturing devices; individually storing collected sensor value data in a plurality of databases; generating by machine learning a plurality of learning models based on the stored sensor value data; and calculating a condition of the manufacturing device of one of the entities by inputting sensor value data acquired from the manufacturing device of the one of the entities to the one or more of the learning models selected by the one of the entities.

A method includes receiving a metric-reward mapping; and using reinforcement machine learning to train a state-action mapping. A method includes receiving a set of metrics corresponding to an ongoing industrial control process; determining anomaly/fault and normal action values by reference to a reinforcement learning-determined state-action mapping; and causing a remedial action to occur. A process control system includes an anomaly/fault detection device, that receives metrics, determines anomaly/fault and normal action values; and causes a remedial action to occur.

A service system and a server capable of increasing an operation rate of a production base are provided. The server acquires operation information of a component mounter in a mounting work from a host computer in the production base. The server generates analyzed result data obtained by analyzing the operation information based on the types of the manufacturers (component manufacturer and the package manufacturer) of electronic component and the package. The server transmits the generated analyzed result data to host computers in the other production bases.

To provide a time-series data analysis device which allows to compare time-series data easily.

A time-series data analysis device analyzes the time-series data output by a machine tool, the time-series data analysis device including a time-series data acquisition unit configured to acquire the plurality of time-series data including operation conditions and operation results of the machine tool, a classification unit configured to classify the plurality of time-series data according to their respective operation conditions, a display control unit configured to perform control for displaying the plurality of time-series data according to the respective operation condition into which data was classified in the form of a list, and a calculation unit configured to calculate differences in the operation results for a plurality of time-series data selected from the plurality of time-series data included in one operation condition into which data was classified, wherein the display control unit performs control for displaying the calculated differences.

A method of producing a product 90 through a plurality of production steps, containing: a step of acquiring equipment data D3 of production equipment 40 for producing the product; a step of acquiring product data D1 from the product 90; a step of storing the equipment data D3 and the product data D1 in a data collection unit 70; a step of associating the equipment data D3 with the product data D1; a step of judging abnormality of the product data D1; a step responsive to abnormality occurring in the product 90 for identifying one or both of equipment abnormality data D3n and product abnormality data D1n associated with the product judged to be abnormal; and the step of identifying the production step causing the product abnormality by the step of identifying the abnormality data.

A method for determining a location of a disturbance in a power system is provided. The method includes receiving data from a plurality of sensors distributed across the power system; determining, with one or more processors, for each sensor, an extremum of the data corresponding to the sensor; interpolating, with the one or more processors, the extrema; and presenting, on one or more display units, a location corresponding to a global maximum of the interpolated extrema as the location of the disturbance. The method may further include, if a difference between the largest extremum and each of remaining extremum is greater than a predetermined threshold, skipping the interpolating step and the presenting step, and presenting a location of the sensor corresponding to the largest extremum as the location of the disturbance.

A cell controller includes a plurality of sensors for detecting the state of a plurality of manufacturing machines, a state storing unit for storing the state of each manufacturing machine, a breakdown information acquiring unit for acquiring breakdown information of each manufacturing machine, an input unit for inputting recovery operation information when each manufacturing machine stops, a recovery operation information storing unit for storing the recovery operation information of each manufacturing machine, and a correlation data generating unit. The correlation data generating unit generates correlation data obtained by correlating the breakdown information acquired by the breakdown information acquiring unit with the recovery operation information stored by the recovery operation information storing unit in each manufacturing machine, and transmits the same to the database. These configurations enable an operator to easily acquire, when a manufacturing machine in a manufacturing cell stops, a recovery operation most appropriate to the manufacturing machine.

A petroleum pipeline safety system for preventing contamination of an environmentally sensitive area close to a pipeline includes an upstream portion of the pipeline supplying a flow of fluid material, a crossing portion of the pipeline receiving the flow of fluid material from the upstream portion and conveying the flow of fluid material through the environmentally sensitive area to a downstream portion of the pipeline, the downstream portion, a pipeline pressure activated valve selectively capable of blocking the flow of fluid material from entering the crossing portion based upon a change in pressure within the crossing portion, and a fluid capacitor connected to the upstream portion configured to filter out a pressure spike in the upstream portion associated with the valve blocking the flow of fluid material.

An information processing system includes a first acquisition unit configured to acquire first information indicating a state of a control system including a control device in response to an occurrence of a request or an event related to an abnormality that has occurred in the control system, an abnormality detail determination unit configured to determine details of the abnormality that has occurred on the basis of the first information, a second acquisition unit configured to request, in accordance with the details of the abnormality, a user to provide second information and acquire the second information from the user, a cause conjecture unit configured to conjecture a cause of the abnormality that has occurred on the basis of the first information and the second information, and a notification means configured to notify the user of the conjectured cause of the abnormality.