Abstract: A propane dehydrogenation and ammonia synthesis coupling system and process. By means of coupling a propane dehydrogenation reaction byproduct, i.e., hydrogen, and high-purity hydrogen required in an ammonia synthesis reaction as a raw material, liquid ammonia can be co-produced as well as a high-quality propylene product being produced. A hydrogen-containing tail gas, which is separated from the propane dehydrogenation reaction, only needs to undergo a simple pressure swing adsorption process to obtain high-purity hydrogen, such that the operation process becomes simple, and the energy utilization efficiency is improved.

Abstract: The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.

Abstract: The disclosure relates to a rapid and comprehensive method for evaluating pitting resistance of stainless steel pipe welds. Weld samples are collected from different positions of one or more welds on the stainless steel pipe to obtain the surface oxide inclusion density and critical pitting temperature of each weld sample, the surface oxidation inclusion density is taken as an independent variable and the critical pitting temperature is taken as a dependent variable to obtain a fitting function formula between the surface oxidation inclusion density and the critical pitting temperature. The surface oxide inclusion density obtained by adopting the same welding process on the stainless steel pipe to be tested is substituted into the fitting function formula to obtain a standard critical pitting temperature of the weld to be tested. The pitting resistance of the weld of the stainless steel pipe to be tested can be evaluated rapidly, accurately, and comprehensively.

Abstract: A multi-stage flame acceleration device and method for a gas-fuel engine are provided. The device includes a pressing piece, an upper chamber, a spark plug, a fuel ejector, a cooling device, and a flame acceleration nozzle. The spark plug and the fuel ejector are mounted in the upper chamber. The pressing piece is sleeved on an upper part of the upper chamber, and the device is wholly and fixedly connected to a cylinder head through a step groove of the upper chamber. A nozzle sealing ring, the flame acceleration nozzle, and a cylinder head sealing ring are mounted at a bottom of the upper chamber from top to bottom in sequence. Annular obstacles formed by annular plates are arranged in a chamber of the flame acceleration nozzle. In the method, a fuel is ejected in the chamber of the flame acceleration nozzle to obtain a homogeneous gas mixture.

Abstract: Disclosed is a brain-on-a-chip intelligence complex control system comprising a basic module and an information interaction and training module. The latter integrates a neural signal decoding unit, reward and punishment control unit, task control model, and mapping relationship model. The neural signal decoding unit transforms neural response data into external device-recognizable control instructions. Employed for controlling the external device, the task control model creates a future target control instruction based on task feedback, retrieving the corresponding neural response. The mapping relationship model establishes connections between the brain-on-a-chip's stimulation sequence and neural responses. Calculating task completion, the reward and punishment control unit generates a reward or punishment signal based on task feedback, applying it to the brain-on-a-chip basic module. This innovative brain-on-a-chip intelligence complex enhances control and training capabilities through integrated modules.

Abstract: A method for in situ measurement of temperature at microwave-induced microscopic hot spots, temperature measuring particles and the device used are provided. For the temperature measurement demand of the microscopic hot spot of microwave field, loading fluorescent temperature measuring particles on the surface of solid particles, and the actual temperature of particles in micro scale can be measured by using its temperature sensitive fluorescence characteristics. The present disclosure builds a microwave field in-situ fluorescence test device to disperse the test particles loaded with fluorescent temperature measuring materials in the liquid solvent and place in the quartz sample tank in the microwave cavity, which can measure the actual temperature of the particles to be measured under microwave radiation.

Abstract: A method for constructing a dynamic security region of a power grid based on an extended phase trajectory theory includes: obtaining a system transient stability condition and a power angle leading generator group by transient simulation of an initial operation point of a system; for generators in the leading generator group A, changing output of each of the generators to search for a dominant instability critical point; calculating the reciprocal of the slope of the tangent line of the trajectory of n swings of an extended phase plane based on angular velocity-angular acceleration in a fourth quadrant, and changing a small disturbance output of the generator at the dominant instability critical point to solve a sensitivity of the extended phase trajectory; and constructing a multi-modal practical dynamic security region based on the extended phase trajectory.

Abstract: The present invention relates to the technical field of medical data processing, and discloses an iNPH prediction method based on a visual Oddball paradigm, comprising: performing the same visual Oddball paradigm experiments on a target population before and after the target population undergoes LTT, and obtaining an electroencephalography (EEG) signal data; Pre-processing the EEG signal data, and obtaining an event-related potential feature, the event-related potential feature being a P300 amplitude feature; Based on the event-related potential feature, the iNPH prediction model is trained to obtain the iNPH prediction model.

Abstract: The current innovation pertains to the medical data processing domain and introduces a method for formulating an iNPH prediction model using a new/old stimulus BCI paradigm. The process involves conducting new/old stimulus BCI paradigm experiments on a target population both before and after the Lumbar Tap Test, obtaining electroencephalogram (EEG) signal data. After preprocessing the EEG signal data, the model extracts features related to new and old stimulus event-related potentials before and after the test, specifically focusing on P600 amplitude features. The iNPH prediction model is then trained based on these event-related potential features. This innovation facilitates quantifying cognitive function improvement, aiding physicians in prompt iNPH diagnosis and enabling timely and effective patient treatment.

Abstract: The disclosure provides a method for establishing a hydrogen charging model for pipeline steel in an equivalent wet hydrogen sulfide environment and an application thereof, which belongs to the field of corrosion electrochemistry. The method includes the following steps: using a cathode hydrogen charging method and a wet hydrogen sulfide environment method respectively to perform hydrogen charging on each sample to be tested under different reaction conditions to obtain several first hydrogen charging samples and second hydrogen charging samples; measuring the hydrogen content of each of the first hydrogen charging sample and the second hydrogen charging sample; performing curve fitting on the variables in the two methods respectively according to the obtained hydrogen content, and the hydrogen charging model for pipeline steel in the equivalent wet hydrogen sulfide environment is obtained according to the fitting result.

Abstract: The present disclosure provides a technology field of caking of crystal particles, and in particular relates to a method for predicting a critical caking cycle of crystal particle. The method includes: establishing a CHS crystal bridge growth model database of a crystal particle with a same type of crystal particle to be predicted firstly, selecting existed data in the corresponding CHS crystal bridge growth model database based on an equivalent particle radius, a stored ambient temperature, and an environmental high and low humidity cycle condition of the crystal particle to be predicted, respectively, and calculating the critical caking cycle according to experience calculation equations, wherein a result obtained by calculation is a predicted critical caking cycle of the crystal particle to be predicted.

Abstract: The present disclosure provides a preparation method of a yak hide-derived oligopeptide ferrous chelate with a high antioxidant activity. The preparation method includes preparing a yak hide-derived oligomeric collagen peptide and subjecting the yak hide-derived oligomeric collagen peptide as a protein source to chelation with an iron source in water. A pretreated yak hide is subjected to enzymatic hydrolysis under a pH value of 7 at 50° C. for 4 h with an amount of an enzyme added at 2% to obtain a yak skin-derived collagen with a molecular weight of less than 2 kDa; the chelation is conducted in a peptide-to-iron mass ratio of 1:1 to 5:1 with a peptide concentration of 1% to 5% at 30° C. to 70° C. for 20 min to 60 min under a pH value of 3 to 8; and an iron chelating capacity is 42.72 mg/g under optimal preparation conditions.

Abstract: Disclosed is a contaminated site sampling robot and an intelligent sampling method thereof. The robot includes a body with a walking mechanism, vision sensing system, drilling mechanism, and negative-pressure suction mechanism. The walking mechanism features two servo motors within a mounting platform, with track wheels attached to the servo motors' output ends. The vision sensing system comprises a supporting frame at one end of the mounting platform, equipped with a vision sensing camera and radar sensor. The drilling mechanism consists of a U-shaped base on the mounting platform's top, with a mechanical arm and drilling machine mounted at one end. The negative-pressure suction mechanism includes a U-shaped box on the mounting platform's middle part, housing a vacuum cleaner whose dust outlet connects to a sample collecting box. This setup allows for optimal path identification, positioning, obstacle avoidance, and control of sampling conditions, facilitating intelligent sampling of contaminated sites.

Abstract: The present disclosure relates to the technical field of optimization of charging facilities, and in particular, to a day-ahead coordinated optimization scheduling method for a truck mobile charging station.

Abstract: Disclosed is a cascade water recycling intelligent system for shale gas exploitation, comprising a cascade water recycling system, wherein a data output end of the cascade water recycling system is connected with a data input end of an information system, a data output end of the information system is connected with a data input end of a decision making system, and a data output end of the decision making system is connected with a regulator; the cascade water recycling system comprises at least one time of water quantity judgment, a current exploiting intensity of shale gas is continued under a condition that the water quantity does not exceed a water safety threshold; and monitoring data is transferred to the information system under a condition that the water quantity exceeds the water safety threshold; the information system is further used for transferring the collected data to the decision making system.

Abstract: The present disclosure discloses a harmonic reducer with conjugate cycloidal profiles, including a circular spline, a flexspline, a wave generator and a flexible bearing. A profile of the circular spline and a profile of the flexspline are conjugate cycloidal profiles. The profile of the circular spline and the profile of the flexspline are formed by hypocycloids and epicycloids formed by two rolling circles around a pitch circle of the circular spline and a pitch circle of the flexspline under an engaging state respectively. A sum of radii of the first rolling circle and the second rolling circle is equal to a difference between radii of the pitch circle of the circular spline and the pitch circle of the flexspline under the engaging state. The wave generator is a biarc cam wave generator, a cam curve is an arc within an angle of contact in the long axis direction.

Abstract: The present disclosure discloses a device for efficiently extracting adaptively selected contactless multi-player heart rates includes: an acquisition module that covers a court to obtain videos from a plurality of angles during players training; a valid player obtaining module configured to remove players with low contributions to training and games in the videos; a facial ROI extraction module configured to detect whether the facial ROIs of valid players contain perfect eye region features, and use the facial ROIs containing the eye region features as best facial ROIs for heart rate extraction; and an analysis and estimation module configured to analyze the detected best facial ROIs by using blind source separation, and estimate a RGB signal by a JADE algorithm to obtain the heart rate values of the valid players.

Abstract: A method for extracting and parsing Bitcoin transaction autonomy information comprises data extraction, transaction autonomy information extraction, feature extraction, information decoding, information cleaning, information fusion, and data table construction. The method has the following beneficial effects. 1. Universality: This method is applicable to mainstream blockchain systems such as Ethereum, EOS, Polkadot, and Fabric through analysis of the current architecture of blockchain technology. 2. Effectiveness: Taking the relationship between emotional tendency of transaction autonomy information and price changes as an example, a generated dataset shows good performance in monitoring online public opinions. 3. Progressiveness: This method for extracting and parsing Bitcoin transaction autonomy information is helpful for implementing public opinion monitoring in blockchain systems, enhancing cybersecurity, and improving the level of information analysis.

Abstract: A method for preparing a supercritical fluid by deep-sea pressure is provided and belongs to the technical field of supercritical fluid preparation. The method includes the following steps of: placing a low-pressure fluid in a closed flexible container, sending the closed flexible container down to a location of a sea at a depth where a seawater pressure meets a requirement by using a powered or unpowered traction device, leaving the flexible container standing still until a volume of the flexible container does not change, wrapping the closed flexible container with a rigid pressure-bearing container, transferring the closed flexible container to the sea surface by the powered or unpowered traction device, and taking out the fluid in the flexible container as supercritical fluid. Then the supercritical fluid is produced. Therefore, the process of preparing supercritical (high pressure) liquid in the deep-sea is safer and more stable than the preparation way on land.

Abstract: The present disclosure relates to a wind farm layout and yaw control method, and an electronic device. The wind farm layout and yaw control method comprises the following steps: acquiring wind farm data, importing the wind farm data into a WFSim model for simulation, obtaining original power data of the wind farm, counting and recording modifiable wind farm layout and yaw parameters, adjusting variable parameters to be changed, using the WFSim model for simulation to obtain an optimal parameter range of different variables and combining the optimal parameters to obtain an optimal working condition, and using the WFSim model for simulation to obtain optimal power data. The wind farm layout and yaw control method according to the present disclosure is based on optimizing the power output of the wind farm, so that it is very convenient to acquired information.