Abstract: Provided is a dynamic true triaxial electromagnetic Hopkinson bar leveling and centering system and method. The system comprises a supporting base, a micrometer adjusting knob, a sliding platform, an auxiliary supporting plate, a fixing groove, at least two auxiliary centering targets and a lamp source. According to the auxiliary centering system, a principle that light rays are straight lines and two points form one line is adopted, and adjacent perpendicularity and coaxial centering leveling of a bar piece are determined by respectively adjusting a center of a loading end surface of the bar piece and an upper surface of the bar piece.

Abstract: Provided is a stress blank angle eliminating device and method for a dynamic true triaxial electromagnetic Hopkinson bar. Objectives of eliminating influence of a stress blank angle in a sample in a test and preventing permanent deformation caused by mutual collision between the Hopkinson bars are achieved. The adjustable test device for eliminating the stress blank angle eliminates influence of the stress blank angle generated by the sample in a triaxial six-direction dynamic impact test process, and is convenient for obtaining real dynamic failure parameters of the sample.

Abstract: A Carbon Fiber Reinforced Polymer (CFRP) concrete composite component with partitioned cathodic protection and an operation and maintenance method thereof are provided. The composite component includes multiple longitudinal reinforcements, in which a first area, a second area and a third area corresponding to underwater, splash and atmosphere are arranged along an extending direction of each longitudinal reinforcement, respectively; a first spiral rib, which is wound around the multiple longitudinal reinforcements in the first area; a second spiral rib, which is wound around the multiple longitudinal reinforcements in the second area; a third spiral rib, which is wound around the multiple longitudinal reinforcements in the third area; a concrete; a power supply, where the first spiral rib, the second spiral rib and the third spiral rib are connected with a positive electrode of the power supply, and the longitudinal reinforcement is connected with a negative electrode of the power supply.

Abstract: The invention provides a low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning, and the method comprises the steps: receiving an uplink signal transmitted by a terminal node through a gateway receiver, demodulating the uplink signal through employing a soft demodulation algorithm, and obtaining a bit log-likelihood ratio; the deep reinforcement learning model completes channel reconstruction of the corresponding link during communication according to the bit log-likelihood ratio; and calculating the current optimal network configuration according to the reconstructed channel so as to distribute the current optimal network configuration to each terminal node during next downlink transmission.

Abstract: The present disclosure provides a conductive paste for preparing flexible porous piezoresistive sensor, a method for making the same, and application thereof. The conductive paste includes a conductive carbon material, a sacrificial template and a high molecular polymer matrix. The high molecular polymer matrix includes a high molecular polymer and an organic solvent, and the mass ratio of the high molecular polymer to the organic solvent is 1:2 to 1:3; and based on the total mass of the conductive carbon material, the sacrificial template and the high molecular polymer, the mass percentage of the conductive carbon material is 2%-5%, the mass percentage of the sacrificial template is 75%-85%, and the mass percentage of the high molecular polymer is 10%-23%. This disclosure uses a sacrificial template with adjustable particle size to prepare conductive paste, greatly increasing number of nanopores or micropores after conductive paste is formed into a film.

Abstract: The invention provides a low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning, and the method comprises the steps: receiving an uplink signal transmitted by a terminal node through a gateway receiver, demodulating the uplink signal through employing a soft demodulation algorithm, and obtaining a bit log-likelihood ratio; the deep reinforcement learning model completes channel reconstruction of the corresponding link during communication according to the bit log-likelihood ratio; and calculating the current optimal network configuration according to the reconstructed channel so as to distribute the current optimal network configuration to each terminal node during next downlink transmission.

Abstract: Disclosed are a dynamic disturbance-induced rock burst test device and a test method. The test device comprise a supporting platform, a plurality of loading plates, an electromagnetic pulse emitting system, an acoustic emission monitoring system, a high-speed camera, an electromagnetic radiation detecting system and a confining pressure servo control loading system. The plurality of loading plates are arranged on a side wall of a coal rock sample and are placed inside a square chest, the electromagnetic pulse emitting system and the confining pressure servo control loading system are arranged inside a bar system, and an acoustic emission probe is arranged inside the loading plate. A three-dimensional real stress environment of the coal rock is simulated by simulating a shear stress through friction between the loading plate and the sample, as well as dynamic and static combined loading of multi-axial and multi-directional static confining pressure and stress wave disturbance.

Abstract: Disclosed is a few-shot gesture recognition method. The method comprises the following steps: customizing, by a user, gesture categories, and acquiring few samples for each gesture category; inputting the acquired samples into a trained few-shot learning model, extracting a feature vector corresponding to each sample, and synthesizing feature vectors belonging to the same gesture to obtain an average feature vector corresponding to each gesture as a prototype vector; acquiring a corresponding sample for a target gesture implemented by the user, and inputting the sample into the few-shot learning model to obtain a feature vector of the target gesture as a query vector; and calculating similarities between the query vector and prototype vectors of different gestures, and selecting a gesture category corresponding to the prototype vector with the highest similarity as a prediction category of the target gesture.

Abstract: Subway tunnel intelligent monitoring method and system relate to the field of track detection. The method includes: activating the inspection device to inspect the track section and detect foreign objects; when the inspection device detects the foreign object during foreign object detection, identifying and acquiring a volume of the foreign object, and according to a correspondence between a range interval to which the volume of the foreign object belongs and a processing scheme, determining the processing scheme for the foreign object with the corresponding volume; implementing the processing scheme for the foreign object with the corresponding volume.

Abstract: A floor plan image generating methodology is provided. The methodology includes: acquiring a boundary of a target building and a layout constraint of the target building; outputting multiple first floor plan images according to the layout constraint of the target building; selecting multiple second floor plan images from the multiple first floor plan images; applying a layout constraint of each of the second floor plan images to the boundary of the target building, and obtaining a layout of the target building corresponding to each of the multiple second floor plan images; inputting the layout of the target building and the boundary of the target building into a floor plan image generating network; and obtaining a predicted floor plan image of the target building outputted by the floor plan image generating network.

Abstract: A method for generating a robot exploration path for a robot to move along includes: establishing a point cloud scene according to single-frame point cloud data collected by the robot, the point cloud scene includes a plurality of data points; classifying and marking each of the data points, the classification mark includes a ground point and an obstacle point, and taking the data points marked as ground points as a ground point cloud; generating a confidence map according to the ground point cloud, the confidence map is configured to display a location and a confidence of each of the ground points in the ground point cloud; generating a plurality of access nodes according to the confidence map; and generating an exploration path according to the access nodes.

Abstract: A durability test method a phase change material includes: placing a material to be tested in a solid-liquid combination test component for detecting the material to be tested, and executing a preset centrifugal rotation detection control scheme; performing cycling control on a temperature regulation semiconductor provided on the solid-liquid combination test component according to a preset temperature single-cycle regulation scheme; obtaining a temperature detection information of the material to be tested; and analyzing and processing the temperature detection information of the material to be tested to generate a durability information of the material to be tested according to a preset durability analysis method of the material to be tested.

Abstract: Disclosed are an alkali-activated geopolymer coating, and a preparation method and use thereof. The alkali-activated geopolymer coating, is prepared by raw materials including the following components: an aluminosilicate mineral, an alkali activator, and a performance additive; wherein the aluminosilicate mineral comprises fly ash, slag, and metakaolin; the performance additive comprises a polymer powder, titanium dioxide, a silicone defoamer, and a water-reducing admixture; and a mass ratio of the aluminosilicate mineral, the alkali activator, and the performance additive is in a range of 100:(60-80):(4-15).

Abstract: A method for determining an optimal fiber content and fiber slenderness ratio in compression-cast fiber-reinforced concrete (CCFRC). The method includes: step 1, determining an optimal range of pressure of CCFRC with a mix proportion; step 2, applying optimal compressive stress to a fiber-reinforced concrete mixture, and performing a uniaxial compression test after demolding and curing; step 3, keeping the slenderness ratio of the fiber in step 1 and the optimal compressive stress in step 2 unchanged, decreasing or increasing content of the fiber, and repeating step 2 to obtain a mechanical property of CCFRC with different content of the fiber; and step 4, keeping the content of the fiber in step 1 and the optimal compressive stress in step 2 unchanged, decreasing or increasing a slenderness ratio of the fiber, and repeating step 2 to obtain a mechanical property of CCFRC with a different slenderness ratio of the fiber.

Abstract: The present disclosure relates to an optimization method and system for hybrid FRP and steel bars. The optimization method includes: determining a cross-sectional bending bearing capacity, a maximum cross-sectional bending bearing capacity, and a minimum cross-sectional bending bearing capacity according to basic material parameters and a design value of a bending moment; determining whether the cross-sectional bending bearing capacity, the maximum cross-sectional bending bearing capacity, and the minimum cross-sectional bending bearing capacity meet a first preset condition; if yes, determining a maximum steel bar area according to the basic material parameters; determining a maximum ductility of a steel bar beam; determining whether the maximum ductility and the target ductility meet a second preset condition; if yes, determining a minimum steel bar area and a maximum FRP bar area according to the maximum steel bar area; and determining an actual steel bar area and an actual FRP bar area.

Abstract: A method for monitoring resilience of a shield tunnel based on multi-source heterogeneous data is provided, including following steps: collecting the multi-source heterogeneous data and processing computer data, where the collecting the multi-source heterogeneous data includes: collecting a tunnel displacement u, a tunnel cross section convergence ?D and a tunnel damage area S; and the processing computer data includes: S1, performing data preprocessing; S2, performing data processing, where the multi-source heterogeneous data preprocessed in step S1 is processed to calculate a tunnel performance indicator P and a tunnel resilience indicator Re; S3, determining tunnel status; S4, performing manual argumentation; S5, giving a remediation measure according to the status of the resilience of the tunnel in step S4; S6, storing and archiving processed data; and S7, performing terminal outputting, where the data obtained in step S6 is displayed and output through a plurality of terminals.

Abstract: The invention provides a high-water pressure trapdoor model test device and a use method thereof. The high-water pressure trapdoor model test device includes a PIV analysis unit, a liquid material, a solid material, pore water pressure gauges, first soil pressure sensors, second soil pressure sensors, third soil pressure sensors, a test box and a pressurizing unit. A box body of the test box is provided with an opening sealed by a base plate, a hole is formed in the base plate, a trapdoor is arranged at the hole, the third soil pressure sensors are arranged in the trapdoor, the first soil pressure sensors are arranged in the base plate, the solid material is placed on the base plate, the second soil pressure sensors and the pore water pressure gauges are arranged in the solid material, and the liquid material is placed on the solid material.

Abstract: A micro-nano vibration magnetic generator is provided. The micro-nano vibration magnetic generator includes a power generation unit and a magnetic supply unit, wherein the power generation unit includes a magnetic core, a power generation coil wound on the magnetic core and a magnetic gap set on the magnetic core, wherein the magnetic gap is used to introduce the magnetic field line of the induction magnetic supply unit into the magnetic core; the magnetic core is used to conduct the introduced magnetic field line and form a magnetic field line loop with the external magnetic field; the power generation coil is used to generate current and output when the magnetic field formed by the magnetic line inside the magnetic core changes; the magnetic supply unit, which moves relative to the power generation unit, provides a changing external magnetic field at the magnetic gap.

Abstract: A method and system are provided for non-destructive testing of a tunnel lining, and relate to the field of tunnel quality testing technologies. The method includes: obtaining tunnel design information; extracting rebar arrangement information and lining information; determining theoretical arrangement interval information; determining location information of a signal conducting bar group; pre-embedding signal conducting bars in sequence based on the location information of the signal conducting bar group; and manufacturing the lining, mounting an interface slot based on a location of the signal conducting bar, and marking a location of each interface slot as input point location information or receiving point location information, wherein the input point location information indicates a location corresponding to the signal input connection point, and the receiving point location information indicates a location corresponding to the signal receiving point.

Abstract: The present application relates to an efficient shallow geothermal energy utilization and storage system and method based on deep learning optimization. It includes the steps of obtaining current time information; determining theoretical energy consumption demand curve information; acquiring the heat exchange component number information and a corresponding single-member potential energy information; calculating single-member energy storage information according to the single-member potential energy information and preset efficiency threshold information; adding single-member energy storage information corresponding to the heat exchange component number information to obtain total stored energy information; calculating replacement time information according to the theoretical energy consumption demand curve information and the total stored energy information; and replacing the heat exchange component corresponding to the heat exchange component number information at the replacement time.