Abstract: A water-air integrated search and rescue system includes a flight power module, a navigation power module, a biomimetic boat module, a drone, and an integrated control module. The integrated control module is configured to acquire weather information and determine whether to send a flight signal to the flight power module or to send a navigation signal to the navigation power module based on the weather information; the flight power module is configured to fly the drone to a search and rescue region after receiving the flight signal; the navigation power module is configured to navigate the drone to the search and rescue region after receiving the navigation signal; the integrated control module is further configured to control the drone to deploy the biomimetic boat module; and the biomimetic boat module is configured to carry out search and rescue work in the search and rescue region.

Abstract: Disclosed is an intelligent collision avoidance method for a swarm of unmanned surface vehicles based on deep reinforcement learning; firstly, a theoretical framework of autonomous learning collision avoidance of a swarm of unmanned surface vehicles based on deep reinforcement learning is proposed, and the LSTM neural network memory ability is integrated to realize the continuity of collision avoidance actions; then, according to the USV environment in the framework, the characterization method is obtained, and the USV collision avoidance reward and punishment function is proposed to evaluate the collision avoidance effect; finally, an intelligent collision avoidance training system for a swarm of unmanned surface vehicles is formed. The simulation and verification of this disclosure show that the USV trained in this disclosure can navigate safely in the collision avoidance environment with a swarm of unmanned surface vehicles and realize intelligent collision avoidance.

Abstract: Disclosed is a method for measuring surface energy of aggregates based on static drop method, comprising (1) aggregates grinding and pretreatment; (2) obtaining the surface texture index; (3) calculating the surface energy based on static drop method experiment; (4) fitting to obtain a functional relationship between the surface texture index and surface energy; (5) calculating the surface energy of the original aggregate. The method considers the influence of the grinding process on the surface texture of the aggregates when measuring the surface energy of the aggregates, which significantly improves the accuracy of the static drop method test. The static drop method can be used to replace the vapor adsorption method to test the surface energy of aggregate, and the low-cost optical contact angle instrument can replace the expensive magnetic suspension weight balance system to test the surface energy of aggregate, which greatly reduces the test cost.

Abstract: Disclosed is a method and device for automatic detection of vessel draft depth, which processes the image of a vessel's hull and extracts local area image blocks with vessel's water gauge scale separately to improve the pertinence of data processing and reduce the complexity of data processing; and based on a multi-task learning network model, performing data processing on local area image blocks to extract scale characters and waterline position, reducing the computational complexity of the model; finally, based on the relative positions of the scale and waterline, determining the vessel's draft depth, thus achieving automatic acquisition of the vessel's draft depth, this method greatly improves the efficiency of reading the vessel's draft depth.

Abstract: The present invention relates to the field of inland vessel identification and ranging technology, and discloses a method, system, medium, equipment and terminal for identifying and ranging inland vessels. In the stage of vessel identification, based on the classical YOLO-V4 network model, the MobileNetV1 network is used to replace the feature extraction network CSPDarknet53 of the YOLO-V4 model; In the stage of vessel ranging, a binocular stereo vision ranging model is established, and the FSRCNN is used for super-resolution reconstruction of the original image pairs to enhance the vessel feature information; the ORB algorithm is used to achieve feature detection and matching at the sub-pixel level to obtain the parallax value between image pairs, and the depth information of the vessel target is obtained by triangulation principle and coordinate conversion.

Abstract: A test device for an automatic pressure regulating valve of an electronic braking system includes a test device composed of an air supply, a pneumatic circuit, a valve, a sensor, a signal processing unit, and a control unit. By subjecting an automatic pressure regulating valve to a bench test including a functional test, a static performance test, a dynamic performance test, an air tightness test, a leakage test, and a brake chamber braking force test, the present disclosure avoids the high risk of a field test, improves the test efficiency, and ensures the test consistency. An automatic pressure regulating valve is tested before being loaded on a vehicle, and parameters of the automatic pressure regulating valve are continuously modified through tests to improve the performance, such that the automatic pressure regulating valve can meet the real-time, fast, independent, and accurate regulation requirements of EBS of commercial vehicles.

Abstract: An interferometric demodulation system for a large capacity fiber grating sensing network is provided by the present disclosure, comprising: a continuous light output end of the nanoscale wide-spectrum light source is connected to an input end of the pulse optical modulator, an output end of the reference grating is connected to an input end of the grating array sensing network, and a third communication end of the optical circulator is connected to an input end of the optical amplifier, an output end of the optical amplifier is connected to an input end of the Mach-Zehnder interferometer, three-channel signal output ends of the Mach-Zehnder interferometer are respectively connected to signal input ends corresponding to the embedded signal processor through the photoelectric converter, and the embedded signal processor controls the heating device to control a temperature of an any one of interference arms of the Mach-Zehnder interferometer.

Abstract: A granite stone powder phosphoric acid-based geopolymer and a preparation method thereof are provided. The granite stone powder phosphoric acid-based geopolymer is prepared from following raw materials in parts by weight: 35-70 parts of granite stone powder, 15-50 parts of metakaolin, 8-50 parts of fly ash, 8-30 parts of acid activation solution and 8-30 parts of solvent.

Abstract: A preparation method of a zeolite/polyimide composite membrane includes: synthesizing a zeolite-doped polyamic acid precursor casting solution by condensation polymerization synthesis; coating a substrate with the obtained casting solution, and obtaining a zeolite/polyamic acid composite porous membrane by non-solvent induced phase separation; and obtaining the zeolite/polyimide composite membrane by performing thermal imidization on the zeolite/polyamic acid composite porous membrane through gradient heating.

Abstract: The present invention discloses a collaborative design method using an event-triggered scheme (ETS) and a Takagi-Sugeno (T-S) fuzzy H? controller in a network environment. For the problem about the unmanned surface vehicle control based on a switching T-S fuzzy system under an aperiodic DoS attack, the present invention provides an H? controller design method based on the event-triggered scheme. The characteristics of the unmanned surface vehicle system under the DoS attack are analyzed, and external disturbance in the navigation process is added into an unmanned surface vehicle motion model to establish an unmanned surface vehicle switching system model. The stability of the system is analyzed by piecewise Lyapunov functionals, such that controller gain and event-triggered scheme weight matrix parameters are obtained, thus ensuring that a networked unmanned surface vehicle navigation system has the ability to resist the DoS attack and the external disturbance.

Abstract: A quantitative detection method of rare earth doped calcium phosphate fluorescent nanoparticles (RE-nCaP) in organisms includes establishing a fluorescent intensity-concentration standard curve of rare earth ions, preparing samples to be tested and the blank control group into homogenate, performing centrifuging and testing the fluorescent intensity of supernatants, calculating the fluorescent intensity values per unit mass or volume of the samples and the blank control group, and performing significant difference analysis; if P is greater than or equal to 0.05, determining that the RE-nCaP content in the samples is 0, and if P is smaller than 0.05, testing the tissue extraction rate of RE-nCaP; and comprehensively considering the tissue extraction rate, the homogenate volume, the fluorescent intensity value per until mass or volume, the homogenate dilution ratio, and the doping amount to obtain the accurate content of the RE-nCaP in biological tissue samples.

Abstract: The present disclosure provides a short-process high-performance forming method of a high-strength aluminum alloy, and use thereof. In the present disclosure, pre-hardening treatment is conducted on an obtained W-temper aluminum alloy sheet blank after a solution treatment and quenching, to obtain a pre-hardened aluminum alloy sheet blank for batch supply. The pre-hardened aluminum alloy sheet blank is subjected to plastic forming, to obtain a component with satisfactory performances. After the pre-hardening treatment, a high-strength aluminum alloy sheet blank forms a GPII zone that is completely coherent with a matrix, and has a room-temperature formability exceeding that off traditional soft sheet blank. Moreover, the GPII zones interact with dislocations during the forming, resulting in planar slips. In this way, large-scale dynamic recovery is more effectively suppressed, thus enhancing a work hardening ability of a formed component.

Abstract: The invention discloses an unmanned surface vessel (USV) formation path-following method based on deep reinforcement learning, which includes USV navigation environment exploration, reward function design, formation pattern keeping, a random braking mechanism and path following, wherein the USV navigation environment exploration is realized adopting simultaneous exploration by multiple underactuated USVs to extract environmental information, the reward function design includes the design of a formation pattern composition and a path following error, the path following controls USVs to move along a preset path by a leader-follower formation control strategy, and path following of all USVs in a formation is realized by constantly updating positions of the USVs.

Abstract: The present invention relates to the field of inland vessel identification and ranging technology, and discloses a method, system, medium, equipment and terminal for identifying and ranging inland vessels. In the stage of vessel identification, based on the classical YOLO-V4 network model, the MobileNetV1 network is used to replace the feature extraction network CSPDarknet53 of the YOLO-V4 model; In the stage of vessel ranging, a binocular stereo vision ranging model is established, and the FSRCNN is used for super-resolution reconstruction of the original image pairs to enhance the vessel feature information; the ORB algorithm is used to achieve feature detection and matching at the sub-pixel level to obtain the parallax value between image pairs, and the depth information of the vessel target is obtained by triangulation principle and coordinate conversion.

Abstract: Disclosed is a ship image track tracking and prediction method based on ship heading recognition, which includes the following steps: obtaining a ship image data set, preprocessing the data set to obtain a preprocessed data set; inputting the preprocessed data set into the rotating ship detection network for training, obtaining the trained rotating ship detection network, collecting the ship navigation video, and inputting the ship navigation video into the trained rotating ship detection network to obtain the ship detection result; inputting the ship detection result into the rotating ship tracking network and tracking the target ship to obtain the historical trajectory and the heading information of the target ship; inputting the historical trajectory and ship heading information of the target ship into the ship trajectory and ship heading prediction network, and predicting the navigation trajectory and ship heading at sea.

Abstract: The present disclosure provides a short-process high-performance forming method of a high-strength aluminum alloy, and use thereof. In the present disclosure, pre-hardening treatment is conducted on an obtained W-temper aluminum alloy sheet blank after a solution treatment and quenching, to obtain a pre-hardened aluminum alloy sheet blank for batch supply. The pre-hardened aluminum alloy sheet blank is subjected to plastic forming, to obtain a component with satisfactory performances. After the pre-hardening treatment, a high-strength aluminum alloy sheet blank forms a GPII zone that is completely coherent with a matrix, and has a room-temperature formability exceeding that off traditional soft sheet blank. Moreover, the GPII zones interact with dislocations during the forming, resulting in planar slips. In this way, large-scale dynamic recovery is more effectively suppressed, thus enhancing a work hardening ability of a formed component.

Abstract: A spatio-temporal DP method based on ship trajectory characteristic point extraction, which belongs to the technical field of ship trajectory compression and includes: Step 1: performing clustering analysis on AIS raw data using a clustering algorithm to identify outliers in the AIS data and then eliminate noise points; Step 2: identifying and retaining the characteristic trajectory points of the ship course change, ship speed change, and the ship entering and exiting from a certain area and the like; Step 3: compressing the AIS data by taking the start and end points of the ship trajectory and the characteristic trajectory points retained in step 2 as the initial points, and considering the spatio-temporal characteristics of the AIS data at the same time. The compressed ship can effectively compress redundant AIS data.

Abstract: An automatic and intelligent spraying device for traffic marking intelligent. The spraying device for traffic marking includes a fixed bottom plate, a coating storage tank, a control box provided with a controller, an armrest, a row of nozzles, a speed sensor, and a driving motor. The coating storage tank is connected with coating pipes equipped with an electromagnetic valve. The fixed bottom plate is provided with a driving motor and rotating wheels. The driving motor drives the rotating wheels to move. The speed sensor is electrically connected with the controller and the driving motor. The controller controls a speed of the driving motor according to speed information detected by the speed sensor. The controller controls the driving motor, and controls the row of nozzles to spray according to a preset spray marking and spray pattern through the electromagnetic valve.

Abstract: The present invention relates to a polyvinyl alcohol/sodium alginate/hydroxyapatite composite fibrous membrane, and a preparation method and an application thereof. The preparation method of the composite fibrous membrane includes the following steps: firstly, reacting a diammonium hydrogen phosphate with a calcium nitrate to prepare a hydroxyapatite, and performing ultrasonic dispersion on the hydroxyapatite with a sodium alginate to form a stable hydroxyapatite suspension; separately preparing a sodium alginate solution of which the mass fraction is 2% and a polyvinyl alcohol solution of which the mass fraction is 18% using the above stable hydroxyapatite suspension; and finally, proportionally and uniformly mixing the two solutions, and performing electrospinning.

Abstract: The present disclosure discloses a molten aluminum erosion resistant casting tip paint, the casting tip paint is formed by mixing magnesia-alumina spinel, alumina, magnesia, water, sodium tripolyphosphate and sodium carboxymethyl cellulose, wherein the proportions of various raw materials for the casting tip paint are as follows: magnesia-alumina spinel of 40-50 wt %, alumina of 10-20 wt %, magnesia of 5-10 wt %, water of 20-40 wt %, sodium tripolyphosphate of 0-10 wt %, and sodium carboxymethyl cellulose of 0-10 wt %. The present disclosure also discloses a preparation method of a molten aluminum erosion resistant casting tip. The molten aluminum erosion resistant casting tip paint provided by the present disclosure can be evenly coated onto the inner wall of the casting tip, so as to form a compact molten aluminum erosion resistant coating, thereby preventing infiltration and erosion of the molten aluminum.