Abstract: The invention discloses a powder leakage monitoring device and a powder leakage monitoring method. The powder leakage monitoring device comprises light field camera, 3D PTZ (3-Dimensional Pan/Tilt/Zoom) and computer. Wherein, the light field camera records original light field images of monitored area; the 3D PTZ under the light field camera adjusts the shooting angle of the light field camera when it rotates according to the set direction; and the computer respectively connects to the light field camera and the 3D PTZ, which generates refocused images corresponding to the original light field images, and determines the spatial coordinates of the powder leakage point and the hazard range of the powder leakage in the monitored area according to the refocused images and the shooting angle. Therefore, the range and accuracy of powder leakage monitoring are both increased by using this invention.

Abstract: A device and apparatus for mixing and dispersing a solid and a liquid are provided. The device includes a powder pulverizing mechanism fixedly connected to a main shaft. The powder pulverizing mechanism is located in a powder feed chamber. The powder feed chamber is provided with a powder feed port. A liquid feed chamber is arranged on an outer side of the powder feed chamber. The liquid feed chamber is provided with a liquid feed port, and the liquid feed chamber is provided therein with a dispersing mechanism fixedly connected to the main shaft. A lower portion of the liquid feed chamber and a lower portion of the powder feed chamber are separately in communication with an upper portion of a mixing chamber. The mixing chamber is provided therein with an impeller fixedly connected to the main shaft.

Abstract: A device and method for testing the bearing capacity of grouped pillars in the inclined goaf under coupled biaxial static and disturbance stresses are provided. Four protection rings are arranged on a base, each protection ring is installed with one machine frame therein, a bottom end of the machine frame is connected with the base and a top end thereof is connected with a transverse frame. Sliding rails are arranged on two sides of the base, side frames are installed on the sliding rails. A vertical force loading device is arranged at a bottom of a workbench, transverse force loading devices are arranged on inner sides of the side frames respectively. A force disturbance device is arranged at the bottom of the transverse frame. An upper slidable clamping seat and an upper pressure disk are arranged above the samples, and a lower slidable clamping seat is arranged below the samples.

Abstract: A device and method for testing bearing capacity of single-row grouped pillars in a horizontal goaf under biaxial loading is disclosed. Four fixed rings are arranged on testing machine base, and have stands installed therein respectively, bottom ends of the stands are connected with the base, top ends are connected with transverse frame, sliding rails are arranged on two sides of the base; the vertical force loading devices are arranged at a lower part of transverse frame and the horizontal force loading devices are arranged at inner sides of side frame. Simultaneous loading on multiple coal samples, rock samples, filling body samples, concrete samples, coal-filling samples and/or rock-filling samples can be achieved, the overall bearing capacity of a single-row group pillar system in the horizontal goaf under the biaxial compression condition can be obtained, and the mutual influence relation between grouped pillar individuals in the horizontal goaf can be attained.

Abstract: A device and a method for testing tensile resistance of multiple-row grouped pillars in an inclined goaf are provided. The bottoms of stands of the device are connected with a testing machine base, and the tops of the stands of the device are connected with a transverse frame; an upper slideable clamping seat and a lower slideable clamping seat are semi-cylindrical blocks, multiple lower loading jaws that are positioned to have a same central line are arranged on the lower slideable clamping seat, each of the lower loading jaws is opposite to a corresponding one of the upper loading jaws, the lower loading jaws are welded to the lower slideable clamping sea to test the tensile resistance of samples together; the upper part of the upper slideable clamping seat is connected with an upper pressure disk, and the lower slideable clamping seat is connected with a lower pressure disk.

Abstract: A system and method for storing data in a distributed network having a plurality of datacenters distributed over a plurality of geographic regions. The method may involve receiving data, including metadata, uploaded to a first datacenter of the distributed network, receiving access information about previous data that was previously stored in the plurality of datacenters of the distributed network, predicting one or more of the plurality of geographic regions from which the uploaded data will be accessed based on the metadata and the access information, and instructing the uploaded data to be transferred from the first datacenter to one or more second datacenters located at each of the one or more predicted geographic regions.

Abstract: A loading system for a Hopkinson pressure bar test under water-gas-temperature multi-field coupling action includes: a sample sealed cabin which includes sealing flanges, Y-shaped and high-temperature resistant sealing rings, and a sealed cabin body; a gas pressure loading device which includes a high-pressure gas tank, a pressure regulating valve, a second barometer, a second high-pressure valve and a first three-way valve connected in sequence; a water pressure loading device which includes an electric pressure test water pump, a water pressure gauge, an accumulator and a one-way valve connected in sequence; a temperature loading device which includes thermocouple heating rods, a temperature display and a thermocouple temperature control circuit board connected in sequence; and a dynamic and static combined loading device which includes an axial pressure loading device, an impact loading device and a Hopkinson pressure bar member.

Abstract: The present disclosure provides a novel advanced ensemble learning strategy for soft sensor development with semi-supervised model. The main target of the soft sensor is to improve the prediction performance with a limited number of labeled data samples, under the ensemble learning framework. Firstly, in order to improve the prediction accuracy of sub-models for ensemble modeling, a novel sample selection mechanism is established to select the most significantly estimated data samples. Secondly, the Bagging method is employed to both of the labeled and selected data-set, and the two different kinds of datasets are matched based on the Dissimilarity (DISSIM) algorithm. As a result, the proposed method guarantees the diversity and accuracy of the sub-models which are two significant issues of the ensemble learning. In this work, the soft sensor is constructed upon the Gaussian Process Regression (GPR) model.

Abstract: A device and method for testing bearing capacity of single-row grouped pillars in a horizontal goaf under biaxial loading is disclosed. Four fixed rings are arranged on testing machine base, and have stands installed therein respectively, bottom ends of the stands are connected with the base, top ends are connected with transverse frame, sliding rails are arranged on two sides of the base; the vertical force loading devices are arranged at a lower part of transverse frame and the horizontal force loading devices are arranged at inner sides of side frame. Simultaneous loading on multiple coal samples, rock samples, filling body samples, concrete samples, coal-filling samples and/or rock-filling samples can be achieved, the overall bearing capacity of a single-row group pillar system in the horizontal goaf under the biaxial compression condition can be obtained, and the mutual influence relation between grouped pillar individuals in the horizontal goaf can be attained.

Abstract: A device and method for testing the bearing capacity of grouped pillars in the inclined goaf under coupled biaxial static and disturbance stresses are provided. Four protection rings are arranged on a base, each protection ring is installed with one machine frame therein, a bottom end of the machine frame is connected with the base and a top end thereof is connected with a transverse frame. Sliding rails are arranged on two sides of the base, side frames are installed on the sliding rails. A vertical force loading device is arranged at a bottom of a workbench, transverse force loading devices are arranged on inner sides of the side frames respectively. A force disturbance device is arranged at the bottom of the transverse frame. An upper slidable clamping seat and an upper pressure disk are arranged above the samples, and a lower slidable clamping seat is arranged below the samples.

Abstract: A device and a method for testing tensile resistance of multiple-row grouped pillars in an inclined goaf are provided. The bottoms of stands of the device are connected with a testing machine base, and the tops of the stands of the device are connected with a transverse frame; an upper slideable clamping seat and a lower slideable clamping seat are semi-cylindrical blocks, multiple lower loading jaws that are positioned to have a same central line are arranged on the lower slideable clamping seat, each of the lower loading jaws is opposite to a corresponding one of the upper loading jaws, the lower loading jaws are welded to the lower slideable clamping sea to test the tensile resistance of samples together; the upper part of the upper slideable clamping seat is connected with an upper pressure disk, and the lower slideable clamping seat is connected with a lower pressure disk.

Abstract: A system and method for storing data in a distributed network having a plurality of datacenters distributed over a plurality of geographic regions. The method may involve receiving data, including metadata, uploaded to a first datacenter of the distributed network, receiving access information about previous data that was previously stored in the plurality of datacenters of the distributed network, predicting one or more of the plurality of geographic regions from which the uploaded data will be accessed based on the metadata and the access information, and instructing the uploaded data to be transferred from the first datacenter to one or more second datacenters located at each of the one or more predicted geographic regions.

Abstract: An inward-swing door driving device, including a motor, a worm wheel and worm reducer driven by the motor, a positive clutch, an unlocking cylinder and an unlocking connecting mechanism. The positive clutch includes an inner tooth, an outer tooth and an elastic element. The inner tooth is in transmission connection with the worm wheel and worm reducer, and the outer tooth is in coaxial transmission with a door shaft of an inward-swing door. The unlocking cylinder includes a cylinder push rod. One end of the unlocking connecting mechanism is in contact with the end portion of the cylinder push rod, and the other end of the unlocking connecting mechanism is connected with the inner tooth.

Abstract: Electrically-operated inward-swing double doors and inward-swing door driving devices thereof. Each inward-swing door driving device includes a sector gear in coaxial transmission with a door shaft of the inward-swing door, a driving mechanism used for driving the sector gear to rotate, and an unlocking mechanism. The driving mechanism includes a motor gear and a motor driving the motor gear to rotate. The unlocking mechanism includes a cylinder, a cylinder push rod extending out of the cylinder, and a lock located at the end portion of the cylinder push rod. The tail end of the lock is in transmission connection with a wheel axle of the motor gear. The lock is provided with a lock rotating shaft for rotating horizontally around the lock. The lock rotating shaft is provided with an elastic element for applying twisting resilience force to the lock.

Abstract: The present disclosure provides a novel advanced ensemble learning strategy for soft sensor development with semi-supervised model. The main target of the soft sensor is to improve the prediction performance with a limited number of labeled data samples, under the ensemble learning framework. Firstly, in order to improve the prediction accuracy of sub-models for ensemble modeling, a novel sample selection mechanism is established to select the most significantly estimated data samples. Secondly, the Bagging method is employed to both of the labeled and selected data-set, and the two different kinds of datasets are matched based on the Dissimilarity (DISSIM) algorithm. As a result, the proposed method guarantees the diversity and accuracy of the sub-models which are two significant issues of the ensemble learning. In this work, the soft sensor is constructed upon the Gaussian Process Regression (GPR) model.

Abstract: A double sliding-plug door system includes a fixed frame, a sliding-plug rail arranged in the fixed frame, a cross beam, a driving mechanism, a linkage mechanism, a guide locking piece and a limiting mechanism. The driving mechanism has a screw rod and a motor driven nut assembly having a transmission frame, a nut sleeved in the screw rod and a follow-up member fixed in the nut; the nut mounted in the transmission frame, which itself is connected with an active sleeve assembly; the screw rod drives the nut assembly to reciprocate axially along the screw rod.

Abstract: An apparatus includes an interface and a training circuit. The interface may be configured to transmit signals to/from a plurality of I/O channels. The training circuit may be configured to generate a training voltage on a current one of the I/O channels, read an output of an eye monitor slicer to determine voltage transition values corresponding to the training voltage at a plurality of sampling times, map the voltage transition values to coefficients for the current I/O channel and determine the coefficients for each of the I/O channels. The training circuit may comprise the eye monitor slicer. The voltage transition values may correspond to an interference response for one of the I/O channels. The coefficients may be applied as feedback to cancel the interference.

Abstract: Soft sensing of nonlinear and multimode industrial processes given a limited number of labeled data samples is disclosed. Methods include a semi-supervised probabilistic density-based regression approach, called Semi-supervised Weighted Gaussian Regression (SWGR). In SWGR, different weights are assigned to each training sample based on their similarities to a query sample. Then a local weighted Gaussian density is built for capturing the joint probability of historical samples around the query sample. The training process of parameters in SWGR incorporates both labeled and unlabeled data samples via a maximum likelihood estimation algorithm. In this way, the soft sensor model is able to approximate the nonlinear mechanics of input and output variables and remedy the insufficiency of labeled samples. At last, the output prediction as well as the uncertainty of prediction can be obtained by the conditional distribution.