Patent classifications
G05B2219/24018
Method For Automated Assistance With A Recording Of A Repair Of A Motor-Driven Tool, And System For Automated Assistance With A Recording Of A Repair Of A Motor-Driven Tool
A method provides automated assistance with a recording of a repair of a motor-driven tool. The method a) ascertains at least one component of the tool, at least one assembly group of the tool, and/or at least one component and/or assembly-group type of at least one component and/or at least one assembly group, wherein the component and/or the assembly group have been handled during the repair of the tool, b) determines a number of possible actions carried out during the repair of the tool on the basis of the ascertained component, the ascertained assembly group and/or the ascertained component and/or assembly-group type, and c) outputs the determined number of possible actions.
Work assistance device, work assistance method, and work assistance program
A work assistance device that assists works for resolving a plurality of problems for simultaneously occurring in a system having a plurality of devices for producing products, the work assistance device including a processor configured to acquire, at occurrence of the plurality of problems, actual historical information on a processing time desired to previously produce the product in each of the devices; perform maximum a posteriori probability estimation of a processing time desired to produce the product in each of the devices, based on prior distribution stored in a storage unit and the acquired actual historical information on the processing time; and determine a work priority order of each of the devices based on the estimated processing times, and output the work priority order.
Method, apparatus and system for automatically repairing device
A method, an apparatus, and a system are provided for automatically repairing a smart device in the field of computer technology. In the method, the apparatus receives a fault detection request transmitted by the smart device, the fault detection request carrying at least one current value of at least one preset parameter item of the smart device. The apparatus determines whether the at least one current value is within a preset range according to a first value characteristic. When it is determined that the at least one current value is within the preset range, the apparatus obtains first fault repair information corresponding to the first value characteristic from a correspondence table. The apparatus transmits the first fault repair information to the smart device, so that the smart device is automatically repaired according to the first fault repair information.
WORK ASSISTANCE DEVICE, WORK ASSISTANCE METHOD, AND WORK ASSISTANCE PROGRAM
A work assistance device that assists works for resolving a plurality of problems for simultaneously occurring in a system having a plurality of devices for producing products, the work assistance device including a processor configured to acquire, at occurrence of the plurality of problems, actual historical information on a processing time desired to previously produce the product in each of the devices; perform maximum a posteriori probability estimation of a processing time desired to produce the product in each of the devices, based on prior distribution stored in a storage unit and the acquired actual historical information on the processing time; and determine a work priority order of each of the devices based on the estimated processing times, and output the work priority order.
SCHEDULING SYSTEM AND METHOD
The present disclosure provides a scheduling system and method. This method includes steps as follow. A communication device is connected to a plurality processing stations and receives instant process data of each processing station, where the instant process data includes a main program number and a processing time. According to target yield, delivery time and the instant process data of the processing stations, production line scheduling is calculated, and an estimated production is forecasted. It is determined that whether the actual production of the production line scheduling matches the estimated production. When the actual production is lower than the estimated production, based on the instant process data, a bottleneck station is determined from the processing stations. The machine diagnosis is performed on the bottleneck station to identify an abnormal cause.
METHOD, APPARATUS AND SYSTEM FOR AUTOMATICALLY REPAIRING DEVICE
A method, an apparatus, and a system are provided for automatically repairing a smart device in the field of computer technology. In the method, the apparatus receives a fault detection request transmitted by the smart device, the fault detection request carrying at least one current value of at least one preset parameter item of the smart device. The apparatus determines whether the at least one current value is within a preset range according to a first value characteristic. When it is determined that the at least one current value is within the preset range, the apparatus obtains first fault repair information corresponding to the first value characteristic from a correspondence table. The apparatus transmits the first fault repair information to the smart device, so that the smart device is automatically repaired according to the first fault repair information.
METHOD AND SYSTEM FOR DETECTING AND RESOLVING MALFUNCTIONS OF A MACHINE
The disclosure relates to a method and system for detecting and resolving malfunctions of a machine, in particular a machine in a machine line for filling and packaging food and/or beverages. The method starts with receiving a sensor signal from the machine. The sensor signal can indicate a malfunction of the machine and comprise a context of the malfunction. Instructions for resolving the malfunction are then identified, which are selected from an instructions database based on the context of the malfunction. An operator of the machine is notified and receives information about the malfunction of the machine and at the same time the identified instructions for resolving the detected malfunction. The operator has the option to create modified instructions for resolving the machine malfunction and send it back to the database. The modified instructions are then stored in the instructions database and linked to the sensor signal, making them identifiable via the context of the malfunction.