Abstract: Disclosed is a method for backfilling and reconstructing a carbon storage space in an abandoned main roadway and storing CO2. A surrounding rock of the main roadway is surveyed through geophysical exploration technology, and an anchor bolts (anchor cables) are used to reinforce and support an area which has unstable confining pressure bearing. According to a width and a height of the roadway section of the main roadway, a support formwork is forged in advance, and after the support formwork is placed in the main roadway, backfilling slurry is injected to the periphery of the support formwork. Meanwhile, supercritical carbon dioxide is injected into the backfilling slurry and the roadway, respectively.

Abstract: Disclosed is a combined process of integrating stoping-backfilling and carbon storage. The combined process includes the following steps of: determining a cyclic interval of a working face through measured data of a mine pressure of a fully-mechanized coal winning working face; when the stoping distance of the fully-mechanized coal winning working face reaches a backfilling isolation interval, providing a backfilling tarpaulin behind a hydraulic support, and pumping, through a backfilling pipeline, backfilling slurry to a backfilling area along a support beam; when the area is backfilled with the backfilling slurry, injecting supercritical carbon dioxide into the backfilling slurry; and allowing the supercritical carbon dioxide to fully react with the backfilling slurry to solidify the backfilling slurry.

Abstract: Disclosed is a method for remining a residual coal pillar in a residual mining area by collaboration of pillar-side backfilling and in-situ gasification. The method includes the following steps of: ascertaining geological and hydrological conditions, a geometric shape and a reserve of a residual coal pillar; determining the feasibility of underground gasification mining for the residual coal pillar; carrying out side supporting on the residual coal pillar in a goaf by using a pillar-side backfilling method; and carrying out the underground gasification mining on the residual coal pillar by means of an underground coal gasification process.

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: 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.