Abstract: A system including a transmission terminal, used for transmitting a target data packet obtained by encrypting and encapsulating a data flow; a network controller, deployed in a first Internet network and storing routing information from the transmission terminal to a receiving terminal; and a backbone transmission network device, deployed in a backbone transmission network and used for obtaining the routing information and the target data packet forwarded by the first Internet network and forwarding the target data packet to the receiving terminal based on the routing information. The present disclosure solves the technical problem of low efficiency and high cost of data transmission in the conventional techniques.

Abstract: A method and system for identifying a time delay in an extraction and separation process of rare earth: a reference sequence and comparison sequences are generated based on component contents of multiple rare earth elements and multiple process variables, and then preprocessed to determine a grey correlation. A comparison sequence with a highest correlation with the reference sequence is determined. An original data matrix is formed by taking the comparison sequence as a process variable. A time-correlation data matrix is constructed based on the obtained time delay sequence, time base sequence, and original data matrix to generate a time-correlation analysis matrix. A matrix H? norm is used to quantitatively describe the characteristics of the time-correlation analysis matrix, so as to determine a time delay sequence corresponding to a maximum H? norm as a to-be-solved multi-time delay.

Abstract: The present disclosure relates to a method and system for virtual inspection and simulation of a rare earth production process, and belongs to the field of digital twin technologies. According to the method, a virtual workshop is built based on a geometric model and a control script of a production site as well as real-time data of the site; and simulation of an entire process is completed. Visualized demonstration of data in each production process is realized by building a virtual rare earth workshop and establishing a data connection between an actual workshop and the virtual rare earth workshop. In addition, fast inspection of a production device is realized. In addition, contents of components are forecast based on historical data according to an extraction mechanism; and whether to give a warning is determined automatically based on the contents. Therefore, real-time and precise forecasting of a process index is realized.

Abstract: Described is a method for predicting multiple components' content in a case that rare earth ions with and without color feature coexist, and relates to component content prediction in rare earth extraction process. It is difficult to quickly/accurately detect component's content in rare earth extraction process. Because of relatively large difference between images' color features of CePr/Nd mixed solution with colorless Ce ions and Pr/Nd solution, detecting content method of single rare earth element based on color feature is no longer applicable.

Abstract: The disclosure discloses a method for dynamically monitoring the content of a rare earth element (REE) component based on a time-series feature. Using an image information acquisition device to periodically acquire a time-series image of a rare earth (RE) solution to be monitored; extracting a time-series feature of the time-series image in a mixed color space; determining whether a time-series feature value of the time-series image is in an expected interval of the mixed color space; calculating a histogram intersection distance between the time-series image and a sample image in a sample data set in the HSV color space, and determining the content of the REE component corresponding to the time-series image according to a component content corresponding to a sample image with a larger histogram intersection distance, if the determination result indicates no; otherwise, directly waiting for the acquisition of a time-series image at a next sampling time point.

Abstract: The disclosure relates to a method for predicting contents of cerium, praseodymium and neodymium components based on virtual samples and a system thereof. The method comprises: obtaining mixed solution of cerium, praseodymium and neodymium in a rare earth extraction process; extracting an H, an S, and an I color feature of a preprocessed image in an HSI color space to obtain an original data sample; constructing a stochastic configuration network model of the content of neodymium component; performing linear midpoint interpolation on the stochastic configuration network model to obtain virtual data samples; fusing original data samples and virtual data samples; reconstructing stochastic configuration network model by using fused data samples; determining content of neodymium component according to reconstructed stochastic configuration network model; and determining contents of cerium and praseodymium according to the content of neodymium component.

Abstract: The disclosure discloses a method for dynamically monitoring the content of a rare earth element (REE) component based on a time-series feature. Using an image information acquisition device to periodically acquire a time-series image of a rare earth (RE) solution to be monitored; extracting a time-series feature of the time-series image in a mixed color space; determining whether a time-series feature value of the time-series image is in an expected interval of the mixed color space; calculating a histogram intersection distance between the time-series image and a sample image in a sample data set in the HSV color space, and determining the content of the REE component corresponding to the time-series image according to a component content corresponding to a sample image with a larger histogram intersection distance, if the determination result indicates no; otherwise, directly waiting for the acquisition of a time-series image at a next sampling time point.

Abstract: The present invention discloses a prediction control method and system for component contents in a rare earth extraction process. The prediction control method includes: establishing an Elman neural network model of a rare earth extraction process; obtaining a predicted output value of the rare earth extraction process through the Elman neural network model of the rare earth extraction process; calculating an optimal set value through steady-state optimization; dynamically predicting an extractant flow increment and a detergent flow increment based on the predicted output value and the optimal set value; and controlling component contents in the rare earth extraction process according to the extractant flow increment and the detergent flow increment.

Abstract: Described is a method for predicting multiple components' content in a case that rare earth ions with and without color feature coexist, and relates to component content prediction in rare earth extraction process. It is difficult to quickly accurately detect component's content in rare earth extraction process. Because of relatively large difference between images' color features of CePr/Nd mixed solution with colorless Ce ions and Pr/Nd solution, detecting content method of single rare earth element based on color feature is no longer applicable.

Abstract: The present invention discloses a prediction control method and system for component contents in a rare earth extraction process. The prediction control method includes: establishing an Elman neural network model of a rare earth extraction process; obtaining a predicted output value of the rare earth extraction process through the Elman neural network model of the rare earth extraction process; calculating an optimal set value through steady-state optimization; dynamically predicting an extractant flow increment and a detergent flow increment based on the predicted output value and the optimal set value; and controlling component contents in the rare earth extraction process according to the extractant flow increment and the detergent flow increment.

Abstract: A method and device relate to rare earth solution image capturing, and further relate to the field of rare earth hydrometallurgical process detection technologies. According to an embodiment, a rare earth solution image capture device includes a mixer-settler, a support platform, a camera obscura, a solution collection vessel, a color camera, a light source, a computer, a programmable logic controller, a motor driver, a peristaltic pump, and a conduit pipe. According to another embodiment, the rare earth solution image capture device performs automatic sampling by using the programmable logic controller and may perform detection at any time. An image captured by the color camera may be transmitted to the computer in real time without manual intervention.