Abstract: A device of regulating a melting speed of an aluminum alloy smelting furnace burner. The device includes: a natural-gas flow-rate regulating assembly, an air flow regulating assembly; a natural gas burner, connected to the natural-gas flow-rate regulating assembly and the air flow regulating assembly and mounted in a melting zone of the melting furnace to melt aluminum alloy into an aluminum liquid; a scum filtration assembly, including a ceramic tube connected to a ceramic filter cylinder, a foam ceramic filter plate being merged in an aluminum liquid thermal-insulation pool; a rangefinder, mounted above the scum filter assembly; a controller for obtaining weights of the aluminum liquid corresponding to two adjacent time points, obtaining the actual melting speed according to a difference in the weights, and regulating the flow rate of the natural gas and the air flow to adjust the actual melting speed to reach a target melting speed.

Abstract: A generalizable neural radiation field reconstruction method based on multi-modal information fusion, including: Step 1, constructing photometric features and geometric features based on unstructured multi-views, and constructing a multi-modal neural encoder by performing incrementally complementary fusion on the photometric features and the geometric features; Step 2, converting the multi-modal neural encoder and raw RGB pixel bodies of the unstructured multi-views into a volume density and radiation brightness; Step 3, sampling light on the basis of the constructed multi-modal neural encoder, aggregating context features of the sampled light based on a transformer network to obtain light context features; and Step 4, decoding, using the light context features, the volume density and the radiation brightness; rendering, based on the decoded volume density and the radiation brightness, to generate a free-view RGB-D image; and guiding dense reconstruction of a low-texture scene by combining photometric supervi

Abstract: A data mining-based method for real-time production quality prediction of aluminum alloy casting, includes: (1) based on mold flow analysis results, installing sensors on a casting mold; wherein the sensors include at least one temperature sensor, at least one pressure sensor, at least one contact sensor, and a multi-functional gas sensor; (2) during casting production, real-time collecting temperatures, pressures, and contact times of the aluminum liquid at a plurality of locations of the casting mold, and pressure, composition, humidity, and temperature of gas in a mold cavity, by the installed sensors, for constructing an aluminum alloy casting process parameter set; and (3) inputting the process parameter set to a production quality prediction model; wherein the production quality prediction model is used to judge whether the production quality is qualified, which is obtained by mining a relationship between history casting process parameters and casting quality data.

Abstract: A device of regulating a melting speed of an aluminum alloy smelting furnace burner. The device includes: a natural-gas flow-rate regulating assembly, an air flow regulating assembly; a natural gas burner, connected to the natural-gas flow-rate regulating assembly and the air flow regulating assembly and mounted in a melting zone of the melting furnace to melt aluminum alloy into an aluminum liquid; a scum filtration assembly, including a ceramic tube connected to a ceramic filter cylinder, a foam ceramic filter plate being merged in an aluminum liquid thermal-insulation pool; a rangefinder, mounted above the scum filter assembly; a controller for obtaining weights of the aluminum liquid corresponding to two adjacent time points, obtaining the actual melting speed according to a difference in the weights, and regulating the flow rate of the natural gas and the air flow to adjust the actual melting speed to reach a target melting speed.

Abstract: A data mining-based method for real-time production quality prediction of aluminum alloy casting, includes: (1) based on mold flow analysis results, installing sensors on a casting mold; wherein the sensors include at least one temperature sensor, at least one pressure sensor, at least one contact sensor, and a multi-functional gas sensor; (2) during casting production, real-time collecting temperatures, pressures, and contact times of the aluminum liquid at a plurality of locations of the casting mold, and pressure, composition, humidity, and temperature of gas in a mold cavity, by the installed sensors, for constructing an aluminum alloy casting process parameter set; and (3) inputting the process parameter set to a production quality prediction model; wherein the production quality prediction model is used to judge whether the production quality is qualified, which is obtained by mining a relationship between history casting process parameters and casting quality data.

Abstract: An aero-engine fault diagnosis method based on 5G edge computing and deep learning is provided. The method includes following steps: performing data acquisition, preprocessing, and storage based on a new 5th Generation Mobile Communication Technology (5G) cloud-edge-terminal network architecture; constructing a machine learning module in an edge cloud, where historical data stored in the aero-engine fault database management system is used as training samples of the machine learning module; and performing intelligent self-management of the aero-engine gear fault simulation platform and the aero-engine fault database management system.

Abstract: An aero-engine fault diagnosis method based on 5G edge computing and deep learning is provided. The method includes following steps: performing data acquisition, preprocessing, and storage based on a new 5th Generation Mobile Communication Technology (5G) cloud-edge-terminal network architecture; constructing a machine learning module in an edge cloud, where historical data stored in the aero-engine fault database management system is used as training samples of the machine learning module; and performing intelligent self-management of the aero-engine gear fault simulation platform and the aero-engine fault database management system.

Abstract: A method for configuring and updating random access resources in a multi-antenna multiple-input multiple-output (MIMO) environment is provided, including: initializing a base station; broadcasting, by the base station, the available RACH resources using an SIB2; initiating, by users who have data to be sent in an uplink, random access processes on the RACH resources configured by the base station; and redefining an S state, an I state, and a C state. Configuration of the RACH resources may be gradually and dynamically optimized according to the quantity of antennas of the base station and a utilization rate threshold of the RACH resources, so that waste of random access RACH resources is reduced provided that an MIMO system meets a required user/service access success probability; a utilization of the resources is improved by fully utilizing spatial diversity characteristics of the MIMO system.

Abstract: A two-dimensional motor and a servo valve are provided. The two-dimensional motor includes a stator and a rotator arranged coaxially. The stator is enclosed in the rotor. The stator and the rotor are spaced along a radial direction of the rotor. A size of the stator along an axial direction is greater than a size of the rotor along the axial direction. The rotor is, without bearing support, directly connected to an external mechanism. The rotor is swung at a predetermined angle, such that the external mechanism can drive the rotor to move along an axial direction of the rotor relative to the stator.

Abstract: An aero-engine bearing fault diagnosis method based on variational mode decomposition and residual network includes the following steps: collect signals in different positions and directions with vibration acceleration sensors, which will be used as sample data; convert the said sample data into the target data type through normalization, slicing, variational mode decomposition and labeling, to get a training sample set; build a 1D-Resnet model, input the training sample set into the said 1D-Resnet model for training and save the model parameters when the model converges; diagnose the aero-engine bearing fault with the trained 1D-Resnet model, to get the diagnostic results. The method diagnoses and analyzes faults of the bearings of the rotating mechanical parts in aero-engines based on variational mode decomposition and residual network, which improves the diagnostic accuracy, and can provide an accurate and reliable basis for maintenance workers.

Abstract: An operation control system for a gas-steam combined cycle generator unit-includes a real-time operation data acquisition module, to collect the operation parameter data and power generation data of a power plant unit, an operation status evaluation index mining module, to mine and analyze the operation parameter data of a power plant unit to get key parameters, an operation status evaluation index extraction module, to obtain characteristic variables, an operation characteristic parameter prediction module, to predict the said characteristic variables and obtain the predicted value and the corresponding change trend, and an operation intelligent control module, to realize the intelligent control of parameters. The operation control system can guide the optimal operation of power plant units, and improve their operation reliability and economy.

Abstract: A two-dimensional motor and a servo valve are provided. The two-dimensional motor includes a stator and a rotator arranged coaxially. The stator is enclosed in the rotor. The stator and the rotor are spaced along a radial direction of the rotor. A size of the stator along an axial direction is greater than a size of the rotor along the axial direction. The rotor is, without bearing support, directly connected to an external mechanism. The rotor is swung at a predetermined angle, such that the external mechanism can drive the rotor to move along an axial direction of the rotor relative to the stator.

Abstract: An electro-hydraulic proportional valve includes: a valve core; a valve sleeve, sleeving an outside of the valve core; a valve body, sleeving an outside of the valve sleeve and fixedly connected to the valve sleeve; a left end cap, covering an end of the valve body, a left sensitive cavity being defined by the left end cap, the valve body, and the valve sleeve; a right end cap, covering the other end of the valve body, a right sensitive cavity being defined by the right end cap, the valve body, and the valve sleeve; a driving mechanism disposed out of the valve body; and a transmission mechanism connected to the driving mechanism and the valve core.