Abstract: Disclosed are a life prediction method of a rotary multi-component system and a related apparatus.

Abstract: Disclosed are a roll-to-roll machining control decision generation method and apparatus for a flexible material. The method comprises: acquiring first vibration data of a first unwinding module, second vibration data of a second unwinding module, third vibration data of a pressing module, fourth vibration data of a winding module, and rotating speed data and winding tension data of the winding module; calculating to obtain a plurality of health state level combinations according to preset health state levels, the first vibration data, the second vibration data, the third vibration data and the fourth vibration data; generating a winding module rotating speed interval and a winding tension value interval of each health state level combination based on the rotating speed data and the winding tension data; and generating an adjustment decision by using the plurality of health state level combinations, the winding module rotating speed interval and the winding tension value interval.

Abstract: The present invention discloses a method and device for evaluating a performance state of a numerical control cutting tool bit for flexible materials. The method includes: detecting three-phase current data of a brushless direct current motor during operation in real time by a preset current probe when the brushless direct current motor rotates to drive the numerical control cutting tool bit to vibrate; extracting characteristic values from the three-phase current data; clustering the characteristic values, and generating m real-time clusters, wherein m is an integer greater than 0; and acquiring j reference clusters, and determining a performance state level of the numerical control cutting tool bit based on the j reference clusters and the m real-time clusters, wherein j is an integer greater than 0.

Abstract: Disclosed is a method and device for controlling continuous processing of a flexible material, which includes generating an outer profile diagram and a defect profile diagram from an image of a collected flexible material; converting and merging the outer profile diagram and the defect profile diagram to generate a vector data format file of profile information; typesetting according to an outer profile and a defect profile of the vector data format file of profile information, so as to generate a graphic format file of a profile to be processed; converting the graphic format file of the profile to be processed into a graphic language format file of the profile to be processed; performing trajectory optimization to generate an industrial-standard HPGL instruction; compiling the industrial-standard HPGL instruction to generate a control signal; and transmitting the control signal to a motion execution system, and performing cutting by the motion execution system.

Abstract: A method for detecting performance of a roll-to-roll device for processing flexible material comprises: obtaining a first fuzzy prototype and a second fuzzy prototype according to vibration data of all rollers working in a normal state; collecting the vibration data of all the rollers at a target time period, and extracting a second root mean square value and a second kurtosis value of the actual vibration data; and calculating membership degree functions of the second root mean square value, the second kurtosis value, the first fuzzy prototype and the second fuzzy prototype, and determining a performance state of a roll-to-roll device for processing flexible material within the target time period according to the membership degree functions. The method can accurately assess the performance of the roll-to-roll device for processing flexible material, so as to prevent the roll-to-roll device for processing flexible material from failing.

Abstract: Disclosed is a wireless monitoring device for flexible material processing, including a numerical control cutting device, a PC control device, and a smart terminal; the numerical control cutting device includes an equipment controller, a servo system and a cutting module, the equipment controller is communicatively connected with the PC control device, and the equipment controller controls the servo system and the cutting module; the PC control device is communicatively connected with the smart terminal, and the smart terminal includes a control module and a monitoring module. The object of the disclosure is to allow an operator to use the smart terminal to realize mobile monitoring of cutting processing of flexible material, which is more convenient for the operator to operate the cutting machine.

Abstract: The present invention discloses a flexible leather slice blanking apparatus and an implementation method. The apparatus comprises a working table, a projector, an industrial camera, an installing support, a manipulator, a matrix chuck fixture and a base. The installing support is arranged on the working table and disposed in a corresponding range of a cutting region behind a numerical-control leather cutting machine. The projector and the industrial camera are respectively arranged on the installing support. The manipulator is installed on the base. The matrix chuck fixture is located above the manipulator and connected with the manipulator through a matrix chuck fixture installing frame. The blanking apparatus provided by the present invention is low in labor cost and high in efficiency; and moreover, leather slices can be classified and collected, thereby saving labor force and increasing production efficiency.

Abstract: A method for detecting performance of a roll-to-roll device for processing flexible material comprises: obtaining a first fuzzy prototype and a second fuzzy prototype according to vibration data of all rollers working in a normal state; collecting the vibration data of all the rollers at a target time period, and extracting a second root mean square value and a second kurtosis value of the actual vibration data; and calculating membership degree functions of the second root mean square value, the second kurtosis value, the first fuzzy prototype and the second fuzzy prototype, and determining a performance state of a roll-to-roll device for processing flexible material within the target time period according to the membership degree functions. The method can accurately assess the performance of the roll-to-roll device for processing flexible material, so as to prevent the roll-to-roll device for processing flexible material from failing.

Abstract: The present invention discloses a flexible leather slice blanking apparatus and an implementation method. The apparatus comprises a working tab e, a projector, an industrial camera, an installing support, a manipulator, a matrix chuck fixture and a base. The installing support is arranged on the working table and disposed in a corresponding range of a cutting region behind a numerical-control leather cutting machine. The projector and the industrial camera are respectively arranged on the installing support. The manipulator is installed on the base. The matrix chuck fixture is located above the manipulator and connected with the manipulator through a matrix chuck fixture installing frame. The blanking apparatus provided by the present invention is low in labor cost and high in efficiency; and moreover, leather slices can be classified and collected, thereby saving labor force and increasing production efficiency.

Abstract: An intelligent digital controller of a flexible material cutting robot and a realization method are provided. The controller comprises: an ARM chip, a servo driver bus communication module and a CPLD module. The ARM chip has built-in two processor cores (Cortex-M0 and Cortex-M4) and is externally connected with a flash memory, an SD card, SRAMs and an Ethernet physical transceiver_2; the Cortex-M0 reads a corresponding graph in the SD card into SRAM_1 according to a graph number, and sends a graph data readiness interruption request to an interruption controller; and after the interruption request is responded, Cortex-M4 reads in graph data and conducts interpolation calculation on the graph; the servo driver bus communication module is used to receive an interpolation calculation result and transmit the calculation result to a data input end of a servo driver with a corresponding address number through a data sending port.

Abstract: Methods and systems for bridge damage detection using, for example, one or more strain range methods are provided. One exemplary embodiment provides a computer-implemented methods and systems for determining bridge damage from strain sensor data, for example, by collecting a batch of strain data from one or more sensor pairs. From the batch of strain data one or more sets of strain data may be extracted comprising a quasi-static response of the bridge under ambient traffic loads. A relationship may be established between the one or more sets of strain data extracted from the one or more sensor pairs by orthogonal regression. Bridge damage may be detected by generally isolating a damage indicator between the one or more sensor pairs by monitoring changes in a statistical Fshm value over time.

Abstract: Methods and systems for bridge damage detection using, for example, one or more strain range methods are provided. One exemplary embodiment provides a computer-implemented methods and systems for determining bridge damage from strain sensor data, for example, by collecting a batch of strain data from one or more sensor pairs. From the batch of strain data one or more sets of strain data may be extracted comprising a quasi-static response of the bridge under ambient traffic loads. A relationship may be established between the one or more sets of strain data extracted from the one or more sensor pairs by orthogonal regression. Bridge damage may be detected by generally isolating a damage indicator between the one or more sensor pairs by monitoring changes in a statistical Fshm value over time.

Abstract: In-situ methods and systems for determining bridge load ratings under ambient traffic are provided. These may include, for example, by installing one or more strain gauges on one or more bridge girders a batch of strain readings may be acquired from the one or more strain gauges. From the batch of strain readings, one or more strain time histories may be randomly sampled based, for example, on a girder peak strain. One or more vehicles may be randomly selected based on the one or more stored vehicle parameters by accessing a database with one or more stored vehicles and stored vehicle parameters. A bridge load rating model may be calibrated based on the one or more randomly sampled strain time histories and the randomly selected one or more vehicles for acquiring, in one embodiment, a bridge load rating distribution.