Abstract: Provided is a method and system for predicting a hydration reaction degree of cement based on a cycle generative adversarial network (CycleGAN). The method includes the following steps: S1, acquiring a micro-structure image of a cement paste test specimen; S2, establishing a micro-pore structure image dataset; S3, establishing a cement micro-hydration prediction model based on a CycleGAN; and S4, completing prediction based on a final cement micro-hydration prediction model. A deep learning algorithm is applied to micro-hydration prediction of cement. A complex theoretical formula is replaced with a data driven mode. Dependence on ideal hypotheses is reduced, and the accuracy of prediction on micro-hydration of cement is thus improved.

Abstract: This invention unveils an optical microphone utilizing diamond cantilevers and its associated acoustic sensing system. The core component is a diamond cantilever, featuring a diamond diaphragm with a centrally located U-shaped groove. The manufacturing process involves several key steps: initially preparing the diamond diaphragm using silicon in a chemical vapor deposition setup, where methane and hydrogen are reacted under specific temperature and pressure conditions to form a diamond polycrystalline film on the silicon. This film is then separated from the substrate to create the diaphragm. Subsequently, a U-shaped groove is crafted on the diaphragm by applying a dry etching template and etching, resulting in the formation of the diamond cantilever, with a thickness ranging from 10 to 100 ?m. This method establishes a novel approach to creating sensitive and durable optical microphones.

Abstract: A material completeness detection method configured to detect whether materials of a target object in a physical production line are complete, includes: inputting an image of the target object in the physical production line into a material completeness detection algorithm to acquire a first detection result; inputting a virtual model of the target object in a virtual production line into the material completeness detection algorithm to acquire a second detection result, where the virtual production line is a DT of the physical production line; and acquiring a material completeness detection result of the target object based on the first detection result and the second detection result. The embodiments of the present disclosure can realize efficient and accurate material completeness detection.

Abstract: Provided is an airflow disturbance type carbon fiber spreading device. The device includes an unwinding module, an unwinding tension control module, an airflow disturbance spreading module, a winding tension stabilizing module, a deviation correction module and a winding module which are sequentially arranged along a feeding direction. The spreading mechanism includes an airflow disturbance spreading module, the airflow disturbance spreading module includes two airflow disturbance spreading assemblies, each airflow disturbance spreading assembly includes a centrifugal fan, the centrifugal fan communicates with the bottom of an airflow duct, and three spreading guide shafts are arranged side by side on the top of the airflow duct. A tension adjusting assembly is provided between the airflow disturbance spreading assemblies. A seventh spreading guide shaft (13) is located at the upper port of an airflow duct I (25) and is connected to a slider module II (34).

Abstract: A microwave heat treatment method for granulated blast furnace slag is provided, which includes the following steps: subjecting the granulated blast furnace slag to microwave heat treatment at a frequency of 900-930 MHz and then cooling the slag. Microwave rapid heating is utilized to remove the moisture in the granulated blast furnace slag, stress is generated inside the granulated blast furnace slag particles to promote the formation of cracks or the decomposition of the granulated slag particles into small particles. After the microwave reaches a certain power, the microwave is turned off, an air blower is turned on, and thermal stress is generated inside the granulated blast furnace slag particles, so that the particles are further promoted to generate cracks or fragmentation; and then the desired fine powder can be obtained by ball milling the granulated blast furnace slag after microwave heat treatment for a short time.

Abstract: The present invention provides a rabies virus monoclonal antibody 2F2 and universal rabies virus antibody rapid detection test paper and belongs to the technical field of biological detection. An amino acid sequence of the monoclonal antibody 2F2 is shown as SEQ ID No. 1. The monoclonal antibody 2F2 provided by the present invention specifically binds to rabies virus G proteins, and preparation of the monoclonal antibody 2F2 into test paper has the advantages of rapidity, accuracy, sensitivity, specificity and low cost.

Abstract: A two-stage medical image registration method based on progressive images (PIs) to solve the technical problem of low registration accuracy of traditional image registration methods includes: merging a reference image with a floating image to generate multiple intermediate PIs; registering, by a speeded-up robust features (SURF) algorithm and an affine transformation, the floating image with the intermediate PIs to acquire coarse registration results; registering, by the SURF algorithm and the affine transformation, the reference image with the coarse registration results to acquire fine registration results; and comparing the fine registration results of the intermediate PIs, which are acquired by iteration, and selecting an optimal registration result as a final registration image. The method can achieve multimodal registration for brain imaging with MI, NCC, MSD, and NMI superior to those of the existing registration algorithms.

Abstract: The disclosure relates to the field of underground salt cavern energy storage, and discloses a coupling numerical simulation method for site selection of an underground salt cavern hydrogen storage, which specifically comprises the following. Geological data of an area where the salt cavern hydrogen storage is to be established is obtained. A three-dimensional model is established and grid meshing is performed. An initial coupling field is established and balanced based on the geological model, and then excavation simulation of the salt cavern hydrogen storage is performed. A geological model after excavation and related parameter values thereof are imported into TOUGH2MP software, a stress model in FLAC3D software is coupled with hydraulic and thermal models in the TOUGH2MP software to simulate a stress, hydraulic, and thermal coupling behavior process of rock layers around the salt cavern hydrogen storage in the area, and a coupled simulation result is obtained.

Abstract: A method for digital twin virtual-reality synchronization mapping of a mechanical arm comprises acquiring a virtual mechanical arm model built based on an actual mechanical arm in a virtual environment, where the virtual mechanical arm model is configured to map the actual mechanical arm; acquiring real motion information collected when the actual mechanical arm moves; constructing a training set and a test set based on the real motion information; training a target multilayer perceptron model based on the training set, and testing the target multilayer perceptron model based on the test set, where the target multilayer perceptron model is configured to predict a motion of the virtual mechanical arm model in the virtual environment; and deploying the target multilayer perceptron model on the actual mechanical arm when the target multilayer perceptron model meets a preset condition. According to this method, operation accuracy and efficiency of the mechanical arm are improved.

Abstract: A method for intelligently controlling a mechanical arm includes building a twin model of a mechanical arm, and extracting a state parameter and an action parameter corresponding to task characteristics from the twin model; determining a reward function corresponding to the task characteristics; training a twin delayed deep deterministic policy gradient (TD3) reinforcement learning model; simulating in the twin model based on a physical state parameter of the mechanical arm by using the TD3 reinforcement learning model, to obtain a controllable parameter; and controlling the mechanical arm to execute a corresponding task by using the controllable parameter. The TD3 reinforcement learning model is built based on the state parameter and the action parameter corresponding to the task characteristics and the reward function corresponding to the task characteristics, which can adapt to a dynamically changing environment and requirements for multiple tasks.

Abstract: A process involves adding charged fibers with surface-cured “temperature-sensitive gel” during the preparation of concrete; preparing charged fibers with surface-cured “temperature-sensitive gel” by spraying, which envelops the charged fibers with a layer of “temperature-sensitive gel”; then solidifying the temperature-sensitive gel layer on the surface of the charged fibers by adjusting the environmental temperature. Utilizing the physical state of the temperature-sensitive gel at different temperatures, the “temperature-sensitive gel” wraps around the charged fibers to form an insulating layer. This prevents the scattering of the charged fibers due to charge repulsion during their introduction into the concrete preparation process, ensuring they are evenly distributed.

Abstract: A blockchain-based privacy protection method for a CCN includes: executing, by a trusted AAC, an initialization algorithm to generate common parameters and a master key, generating a public key and a private key for each consumer and publisher, and randomly generating, by the trusted AAC, its own public key and private key; calculating a public key, and generating ciphertext and uploading the ciphertext to a CSP; performing transaction on-chaining; and during decryption, finding, by the consumer, transaction information of the content on the consortium blockchain, sending an interest packet based on the transaction information, and obtaining ciphertext CT through a storage address in the transaction information; generating, by the consortium blockchain, an access transaction based on access information of the consumer; sending the ciphertext CT to the consumer through a data packet; and locally decrypting, by the consumer, the ciphertext CT, and verifying correctness of the content.

Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: The disclosure relates to the field of underground salt cavern energy storage, and discloses a coupling numerical simulation method for site selection of an underground salt cavern hydrogen storage, which specifically comprises the following. Geological data of an area where the salt cavern hydrogen storage is to be established is obtained. A three-dimensional model is established and grid meshing is performed. An initial coupling field is established and balanced based on the geological model, and then excavation simulation of the salt cavern hydrogen storage is performed. A geological model after excavation and related parameter values thereof are imported into TOUGH2MP software, a stress model in FLAC3D software is coupled with hydraulic and thermal models in the TOUGH2MP software to simulate a stress, hydraulic, and thermal coupling behavior process of rock layers around the salt cavern hydrogen storage in the area, and a coupled simulation result is obtained.

Abstract: The present disclosure relates to a method for refining beryllium by molten salt electrolysis, the method comprises: firstly, constructing an electrochemical system, wherein an anode chamber contains an anode molten salt electrolyte, a crude beryllium anode is inserted in the anode molten salt electrolyte, a cathode chamber contains a cathode molten salt electrolyte, a cathode is inserted in the cathode molten salt electrolyte, the anode molten salt electrolyte and the cathode molten salt electrolyte are not in contact with each other but are connected with each other via a liquid alloy at the bottom of the inside of an electrolysis cell; and applying a current for electrolysis to obtain refined solid beryllium at the cathode.

Abstract: The present application belongs to the technical field of aluminum metallurgy, and specifically relates to a method for producing metallic aluminum and polysilicon with a high-silicon aluminum-containing resource. The method includes: pretreating the high-silicon aluminum-containing resource to obtain an aluminum-silicon oxide material; the aluminum-silicon oxide material is used to produce a metallic aluminum product and a copper-aluminum-silicon alloy with silicon enriched by molten salt electrolysis in a double-chamber electrolytic cell; and the copper-aluminum-silicon alloy is used to produce an aluminum-silicon alloy and/or polysilicon by molten salt electrolysis in a single-chamber electrolytic cell, and further separating the aluminum-silicon alloy by physical methods to obtain polysilicon. The present application has characteristics such as low production cost, continuous electrolysis operations, high product quality, and environmental friendliness.

Abstract: A method for cyclic biochemical conversion of carbon dioxide and hot gas cogeneration in depleted oil and gas reservoirs includes: S1: selecting a target depleted oil and gas reservoir; S2: adjusting a temperature of the target depleted oil and gas reservoir to 30° C. to 70° C. and detecting whether formation water of the target depleted oil and gas reservoir contains methanogenic archaea, in which if no methanogenic archaeon is contained, then methanogenic archaea is injected and step S3 is proceeded, and if methanogenic archaea are contained, then step S3 is proceeded directly; S3: injecting a mixture of carbon dioxide and hydrogen into the target depleted oil and gas reservoir through a gas injection well; and S4: shutting down the gas injection well to wait for the methanogenic archaea to convert carbon dioxide and hydrogen into methane and exploiting the methane and heat energy in the target depleted oil and gas reservoir.

Abstract: The present application relates to a method for preparing metallic titanium by molten salt electrolysis reduction of titanium dioxide, the method includes: constructing an electrochemical system, including an anode chamber filled with an anodic molten salt electrolyte and inserted with an anode, and a cathode chamber filled with a cathodic molten salt electrolyte and inserted with a cathode, where the anodic molten salt electrolyte and the cathodic molten salt electrolyte are connected through a liquid alloy accommodated at an inner bottom of the electrolytic cell without contacting with each other; and adding titanium dioxide to the anode chamber, and energizing for electrolysis to obtain metallic titanium at the cathode. The method of the present application has advantages such as low requirements for the titanium dioxide raw material, simple process flow, low energy consumption, environmental friendliness, and direct acquisition of high-purity metallic titanium.

Abstract: Provided is a beam-column joint of a prefabricated self-centering RC (Reinforced Concrete) frame based on an SMA (Shape Memory Alloy) material, including an RC precast column, an RC precast beam, and self-centering energy dissipation dampers arranged, and a friction energy dissipation damper. The self-centering energy dissipation damper includes an SMA kernel, an upper restraint cover plate, a lower restraint cover plate, a column-end connection reinforcing plate and a beam-end connection reinforcing plate, and a set energy dissipation gap is reserved between the SMA kernel and the upper restraint cover plate. The friction energy dissipation damper includes an in-column embedded connecting plate and a beam-end embedded connecting plate.

Abstract: The present disclosure provides an electrochemical method for the separation of zirconium and hafnium, using an electrolytic cell equipped with an anode chamber and a cathode chamber, wherein the anode chamber and the cathode chamber are separated by a liquid alloy. In particular, the liquid alloy comprises a crude zirconium and a matrix metal with the metal activity lower than zirconium. After the electrolysis reaction is started, since the metal activity series in the liquid alloy is: hafnium>zirconium>>matrix metal, the hafnium in the liquid alloy is oxidized prior to the zirconium, the hafnium in ionic form migrates into the cathode electrolyte in the cathode chamber, leading to a continuous decrease of hafnium content in the liquid alloy, whereas the zirconium remains in the liquid alloy. Accordingly, deep separation of zirconium from hafnium is achieved, and therefore, nuclear-grade zirconium products can be prepared.