Abstract: Embodiments of the present application provide a prediction method, device and system for rock mass instability stages, and belong to the technical field of rock mass instability prediction. The method includes the steps: acquiring acoustic emission signals of rock mass; extracting feature parameters from the acquired acoustic emission signals; and predicting instability stages of the rock mass in accordance with the feature parameters and a preset back propagation (BP) neural network model, wherein the preset BP neural network model is obtained by training a BP neural network and a genetic algorithm by virtue of the feature parameters of the acoustic emission signals at different rock mass instability stages. According to the technical solution in the present application, the problem in the training process of the BP neural network model that model parameter optimization may be easily trapped in a locally optimal solution is effectively solved.

Abstract: The present disclosure discloses a method for dual-motor control on an electric vehicle based on adaptive dynamic programming. First, total torque required is calculated based on obtained data information of the electric vehicle under various driving conditions, and offline training is conducted on an execution network and an evaluation network. Then total torque is dynamically distributed for two motors of the electric vehicle under various driving conditions to obtain an efficiency MAP database. Afterwards, iteration and online learning are conducted on the execution network and the evaluation network based on data information of the electric vehicle under different driving conditions that is obtained in real time, so as to find an optimal control law for the electric vehicle under a real-time driving condition. In this way, the dual-motor control on the electric vehicle is optimized.

Abstract: The present disclosure provides a method for optimizing a liquid injection process of ionic rare earth ore, including the following steps of: 1) testing the hydraulic properties of an ore body; 2) determining the diffusion degree of the ore body; 3) determining the spatial distribution of the rare earth grade and the impurity grade of the ore body prior to leaching; 4) determining model parameters of competitive exchange of rare earth ions and impurity ions with ammonium ions; 5) obtaining distribution of rare earth ion concentration within the ore body after completion of leaching; 6) obtaining a profile plot of a rare earth leaching rate as a function of the concentration and dosage of an injected leaching agent; and 7) determining a minimum leaching agent dosage to achieve a target leaching rate according to the profile plot, and then determining the ammonium sulfate concentration according to the minimum leaching agent dosage.

Abstract: The present disclosure relates to a method for determining a source sink term of an ionic type rare earth ore leaching process. The method includes the following four steps: (1) determining an ion exchange selection coefficient of a rare earth ore sample; (2) determining the rare earth grade of the rare earth ore sample; (3) building a source sink term model of the ore leaching process; and (4) determining parameters in the source sink term model. The present disclosure can simulate the ionic type rare earth ore leaching process by combining a convection-dispersion equation, and determine the optimal concentration of the ore leaching agent. When an ammonium sulfate solution at an optimal concentration of 12.0 g/L is used to perform a column leaching test, the obtained rare earth leaching rate is up to 96.3 percent.

Abstract: The embodiments of the present invention provide a crushing cavity structure for the technical field of crushing cavities of cone crushing equipment.

Abstract: An ultrasonic thrombus removing system includes a front sheath tube (1) and a rear sheath tube (5) that are independent and that are inserted into a blood vessel (2); a rear end outer portion of the front sheath tube (1) is mounted with a front blocking balloon (105), and a front end outer portion of the rear sheath tube (5) is mounted with a rear blocking balloon (504); a breaking cavity (4) being formed between the two blocking balloons; the front blocking balloon (105) and the rear blocking balloon (504) expand or contract in the blood vessel (2) by means of the squeezing or loosening of an external force so as to block or open front and rear sides of the thrombus (3); an inner portion of the rear sheath tube (5) is provided with a core tube (502) that co-axially penetrates therethrough, a front end of the core tube (502).

Abstract: An automatic harvesting and collecting device for sisal hemp leaves includes an up-and-down moving assembly, a steering device, a braking mechanism, a mechanical vision sensor device, a vehicle traveling and controlling device, a forward-and-backward moving assembly, an omnidirectional automatic positioning and rotating device, a shearing and clamping device, a collecting device and a frame.

Abstract: An ore volume-based zonal injection method for ionic rare earth includes six steps of ore body data acquisition; ore volume calculation by units; calculation of leaching agent consumption ? per unit ore volume; calculation of unit ore volume-based zoning range difference; merging of the units into injection zones; and injection.

Abstract: A steel plate suspension conveying device and method thereof, includes an initial suspension module, an intermediate transfer module and a tail end unloading module that are respectively provided with a plurality of electromagnets, wherein the electromagnets (5-6) of the initial suspension module controls the steel plate for suspension, the electromagnets (7-14) of the intermediate transfer module controls the motion of the steel plate toward the tail end unloading module, and the electromagnets (15-17) of the tail end unloading module controls the landing of the steel plate; sensor modules (18) installed on the electromagnets, and are capable of detecting the position, speed and temperature information of the steel plate conveyed by the electromagnets; a central processing unit (4) receiving the information sent by the sensor modules (18) and adjusts the magnitude of a current/voltage flowing into the electromagnets, thereby adjusting the magnitude of the electromagnet attraction applied by the electromagnet

Abstract: Provided is an automatic classification system. The automatic classification system is designed based on a YOLOV3 technical framework, so that garbage can be classified and recycled, garbage pollution is reduced, and waste is recycled at the maximum cost. The system is designed with a box of a double-layer structure, wherein an upper box is provided with a garbage throwing-in opening, a camera is mounted at the upper box, and the upper top of the upper box is provided with an partition layer for the installation of a solar panel and a storage battery, so as to meet the power supply requirement of the system. The camera captures thrown-in garbage and uses the recognition algorithm to recognize and classify the garbage classes.

Abstract: The present disclosure provides a method for optimizing a liquid injection process of ionic rare earth ore, including the following steps of: 1) testing the hydraulic properties of an ore body; 2) determining the diffusion degree of the ore body; 3) determining the spatial distribution of the rare earth grade and the impurity grade of the ore body prior to leaching; 4) determining model parameters of competitive exchange of rare earth ions and impurity ions with ammonium ions; 5) obtaining distribution of rare earth ion concentration within the ore body after completion of leaching; 6) obtaining a profile plot of a rare earth leaching rate as a function of the concentration and dosage of an injected leaching agent; and 7) determining a minimum leaching agent dosage to achieve a target leaching rate according to the profile plot, and then determining the ammonium sulfate concentration according to the minimum leaching agent dosage.

Abstract: Disclosed is a method for preparing a rare-earth modified Keggin-type heteropolyacid-supported catalyst. Carbon nanotube is used as support, and is oxidized to form openings and cut into short tubes by an acidic solution. Under the action of metal chlorides and alcohol solvents, the end and the defect sites on the side walls of the carbon nanotubes are combined with hydroxyl groups to obtain hydroxylated carbon nanotube. In this way, the surface properties of the carbon nanotube are changed, and the active components are more easily and firmly adsorbed on the carbon nanotube, thus the stability of the catalyst is improved.

Abstract: An ore volume-based zonal injection method for ionic rare earth includes six steps of ore body data acquisition; ore volume calculation by units; calculation of leaching agent consumption ? per unit ore volume; calculation of unit ore volume-based zoning range difference; merging of the units into injection zones; and injection.

Abstract: The present disclosure relates to a method for determining a source sink term of an ionic type rare earth ore leaching process. The method includes the following four steps: (1) determining an ion exchange selection coefficient of a rare earth ore sample; (2) determining the rare earth grade of the rare earth ore sample; (3) building a source sink term model of the ore leaching process; and (4) determining parameters in the source sink term model. The present disclosure can simulate the ionic type rare earth ore leaching process by combining a convection-dispersion equation, and determine the optimal concentration of the ore leaching agent. When an ammonium sulfate solution at an optimal concentration of 12.0 g/L is used to perform a column leaching test, the obtained rare earth leaching rate is up to 96.3 percent.