Abstract: A machine tool evaluation method, a machine tool evaluation system and medium are disclosed. The method includes: determining a target component of a machine tool; and for each target component: acquiring type information and attribute information of the target component; determining and acquiring, based on type information and the attribute information, target operating condition data, target state monitoring data, and target design parameter data corresponding to the target component and generating an original data set based on the target operating condition data, the target state monitoring data and the target design parameter data; preprocessing the original data set to obtain a target data set; performing feature extraction on the target data set to obtain a feature data set; and performing a multi-level evaluation on the target component, and generating an evaluation result of the target component; and generating an evaluation result of the machine tool based on the evaluation results.

Abstract: A method, a system and a storage medium for fault diagnosis of mechanical equipment. The method comprises the following steps: obtaining data about the mechanical equipment, determining that the data about the mechanical equipment belongs to known operating conditions by an anomaly detection model, determining an operating condition of the data about the mechanical equipment by the classification model, and selecting a diagnosis model for diagnosis based on the operating condition of the data about the mechanical equipment. According to the fault diagnosis method of mechanical equipment disclosed by the present disclosure, accurate fault diagnosis results can be provided even when the mechanical equipment is in different operating conditions.

Abstract: A device-abnormality detection method and a device-abnormality detection system are disclosed. The device-abnormality detection method includes: generating, by a local detection terminal, target performance index data of a device to be detected, and sending the target performance index data to a cloud platform. The method may include determining, by the cloud platform based on the target performance index data, target detection algorithm information corresponding to the target performance index data, and sending the target detection algorithm information to the local detection terminal. The method may also include implementing, by the local detection terminal, an abnormality detection of the device to be detected based on the target detection algorithm information and performance data of the device to be detected, and outputs an abnormality detection result.

Abstract: The present disclosure provides a method and device for fault diagnosis of a sliding bearing in rotating machinery. The method includes obtaining a signal data set of displacement signals of shaft vibration of the sliding bearing in the rotating machinery, classifying and archiving the displacement signals of the shaft vibration in the signal data set according to fault types, synthesizing the displacement signals in the archived signal data set to obtain a plot of shaft center orbit of the sliding bearing in the rotating machinery, so as to obtain a plot data set of the shaft center orbit, and training the fault diagnosis model based on the plot data set of the shaft center orbit.

Abstract: A control method for a casting machine is disclosed. A control system for a casting machine and a computer-readable storage medium are also disclosed. The casting machine includes a plurality of roller components and a plurality of motors driving the plurality of roller components to rotate. The motors are in one-to-one correspondence with the roller components. The method includes acquiring, within a preset first detection time interval, a running characteristic signal of each roller component; conducting, based on the running characteristic signal of each roller component, a running difference analysis of the plurality of roller components to obtain a running difference analysis result; conducting, based on the running difference analysis result, control on the casting machine. The running difference analysis includes at least one of a running synchronization analysis and a running similarity analysis.

Abstract: The present disclosure discloses a chip for monitoring performance of a motor and a performance monitoring system for a rotating apparatus. The system includes a sensing module, including a plurality of sensing sensors. The sensing module detecting a working state of the rotating apparatus and generating a working condition signal. A diagnosis module receives the working condition signal from the sensing module, determines a performance state of the rotating apparatus based on the working condition signal, and generates a performance state detection result. The performance state detection result includes a normal performance state and an abnormal performance state. A communication module sends an alarm signal to a central control platform when the performance state detection result is the abnormal performance state. The sensing module, the diagnosis module and the communication module are integrated on the same chip.

Abstract: A method for evaluating a health status of a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing data pre-processing on the doctor blade-related data in a predetermined pre-processing manner to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data. performing feature extraction on the pre-processed data set in a predetermined feature extraction manner, and processing extracted features to obtain processed feature data, and evaluating with respect to working condition, status monitoring, and design parameter respectively based on the processed feature data, to perform a comprehensive evaluation on the health status of the doctor blade of the papermaking machine.

Abstract: A method for evaluating papermaking quality includes determining an evaluation target related to papermaking quality and for each evaluation target: acquiring target working condition data, target condition monitoring data and target papermaking quality data; preprocessing the acquired data; performing data integration on the preprocessed target working condition data, the preprocessed target condition monitoring data, and the preprocessed target papermaking quality data to obtain an integrated data set; performing feature extraction on data in the integrated data set according to types and characteristics of the data; establishing a paper quality analysis model based on the target feature data set; and evaluating the corresponding evaluation target and generating a quality health evaluation result of the corresponding evaluation target based on the papermaking quality analysis model.

Abstract: A method, system and non-transient computer-readable storage medium for lubrication assessment.

Abstract: A method for anomaly detection on a doctor blade of a papermaking machine includes obtaining doctor blade-related data, wherein the doctor blade-related data includes working condition data, status monitoring data, and design parameter data of the doctor blade, performing a predetermined data pre-processing on the doctor blade-related data to obtain a pre-processed data set, wherein the pre-processed data set includes processed data respectively corresponding to the working condition data, the status monitoring data, and the design parameter data; performing a predetermined feature extraction on the pre-processed data set, and fusing extracted features to obtain fused feature data; and analyzing the fused feature data based on different anomaly detection processes respectively, to perform a comprehensive anomaly detection on the doctor blade of the papermaking machine.

Abstract: A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.

Abstract: A machine tool management method, a machine tool management system and a medium are disclosed, the machine tool management method including: determining at least one target component of a machine tool; generating an evaluation result of the machine tool according to a preset processing rule based on the determined at least one target component; for each target component of one or more target components in the at least one target component, acquiring a target evaluation result corresponding to the target component from the evaluation result of the machine tool; determining a preset management rule based on the target evaluation result and type information and attribute information of the target component, and managing the target component according to the preset management rule.

Abstract: A machine tool evaluation method, a machine tool evaluation system and medium are disclosed. The method includes: determining a target component of a machine tool; and for each target component: acquiring type information and attribute information of the target component; determining and acquiring, based on type information and the attribute information, target operating condition data, target state monitoring data, and target design parameter data corresponding to the target component and generating an original data set based on the target operating condition data, the target state monitoring data and the target design parameter data; preprocessing the original data set to obtain a target data set; performing feature extraction on the target data set to obtain a feature data set; and performing a multi-level evaluation on the target component, and generating an evaluation result of the target component; and generating an evaluation result of the machine tool based on the evaluation results.

Abstract: In one aspect, a microfluidic device for multiple reactions is provided, which comprises a reaction channel comprising multiple reaction chambers connected to a closed chamber or an elastic balloon outside of the microfluidic device, wherein a wall of the closed chamber is an elastic membrane; and a control channel comprising an elastic side wall, wherein the intersections between the side wall of the control channel with the reaction channel form multiple pneumatic microvalves. In another aspect, a method for conducting multiple reactions using the microfluidic device is provided, which comprises: a) filling the reaction chambers with a sample; and b) applying pressure to the control channel to expand the elastic side wall of the control channel, wherein the expanded elastic side wall forms a pneumatic microvalve that separates the reaction chambers.

Abstract: A grid-connected control method based on a virtual synchronizer is provided. The method includes: detecting whether a first deviation between an output voltage of an inverter and a voltage of a grid exceeds a first set voltage threshold, and adjusting a set output voltage of the inverter if the first deviation exceeds the first set voltage threshold, so that the first deviation falls within the first set voltage threshold; detecting whether a second deviation between an output frequency of the inverter and a frequency of the grid exceeds a first set frequency threshold, and adjusting a set output frequency of the inverter if the second deviation exceeds the first set frequency threshold, so that the second deviation falls within the first set frequency threshold; and controlling the inverter to connect to the grid. A grid-connected control device based on a virtual synchronizer is further provided.

Abstract: In one aspect, a microfluidic device for multiple reactions is provided, which comprises a reaction channel comprising multiple reaction chambers connected to a closed chamber or an elastic balloon outside of the microfluidic device, wherein a wall of the closed chamber is an elastic membrane; and a control channel comprising an elastic side wall, wherein the intersections between the side wall of the control channel with the reaction channel form multiple pneumatic microvalves. In another aspect, a method for conducting multiple reactions using the microfluidic device is provided, which comprises: a) filling the reaction chambers with a sample; and b) applying pressure to the control channel to expand the elastic side wall of the control channel, wherein the expanded elastic side wall forms a pneumatic microvalve that separates the reaction chambers.