6results about How to "Implement mining" patented technology

The present application relates to the field of biological identification, and provides a multi-modal impression identification method based on causality, which comprises obtaining first multi-modal data of a speaker and second multi-modal data of a listener; performing causality identification on the first multi-modal data and the second multi-modal data through a preset causality model to obtain first features; performing feature extraction on the second multi-modal data through a preset first BLSTM network to obtain second features; performing cross-domain fusion on the first features and the second features through a preset attention network to obtain first fusion features; and performing impression identification on the first fusion features through a preset full connection network to obtain a first impression identification result. The preset causality model is set to capture the causality between the speaker and the listener. The preset attention network is set to realize cross-domain fusion of the related information between the two, improve the accuracy of impression identification, and improve the performance of identifying impressions from a single aspect.

The present application relates to the technical field of power distribution network planning, and more particularly to a power distribution network multi-resource integrated planning method and system based on a graph neural network. The method comprises the following steps: collecting the operation and geographic data of the distribution transformers, feeder switches, 10kV feeders and each load access point in the target planning area to form a basic planning data set; constructing a power distribution network topology graph and using a graph neural network to identify overloaded feeder sections, low-voltage end sections and overloaded transformer nodes; then, according to the spatial position and power supply correlation of each problem area, determining the distribution transformer capacity expansion layout, tie switch addition and line extension reconstruction path; and finally, optimizing and outputting the target area planning scheme through power flow checking. The present application identifies the weak links of the power distribution network through a graph neural network and cooperatively optimizes the capacity expansion layout, tie transfer and line extension path, thereby achieving the precision, collaboration and economy of power distribution network planning and significantly improving the power supply capacity and overall operation reliability.

This invention provides a photovoltaic (PV) operation status management and control method and system, comprising: constructing and training a PV ecological monitoring model including a physical coupling field submodule and a PV ecological agent submodule; performing risk assessment on a real-time PV operation dataset based on the PV ecological monitoring model to generate risk assessment results; performing strategy exploration and counterfactual reasoning based on the risk assessment results to generate corresponding optimal control strategies; executing the optimal control strategies; and performing feedback optimization based on the feedback data corresponding to the optimal control strategies, thereby achieving efficient and accurate management and control of PV operation status.

The application provides a virtual resource pushing method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining a current geographical text message initiated by a user of a virtual resource to be pushed; obtaining a target geographical text information set matched with the current geographical text message based on query keyword information and current position information issued by the user for describing the virtual resource contained in the current geographical text message; updating the target geographical text information set by using the message; obtaining a virtual resource set matched with the updated target geographical text information set; and pushing the virtual resource contained in the virtual resource set to a target user issuing information in the target geographical text information set. The method can consider regional influencing factors, improve the timeliness of virtual resource pushing, and mine potential users.

The invention relates to the field of tunnel construction engineering, in particular to a variable-diameter full-section cutting cutterhead and a using method thereof. Comprising a fixing ring which can be fixed at the front end of the shield tunneling machine; one ends of the cutter spokes are connected to the outer side of the fixing ring, and the included angles between the adjacent cutter spokes are equal; the plurality of hobs are rotatably arranged on the cutter spokes and the fixing ring; each cutter spoke is provided with one cutting tool bit, and the cutting tool bits can move in the axial direction of the cutter spokes; the driving mechanism is arranged on the cutter spokes, connected with the cutting tool bits and used for driving the cutting tool bits to move; the plurality of arc-shaped inner-layer ring beams are connected between the adjacent cutter spokes, and the plurality of inner-layer ring beams enclose to form a circular ring; and the control system is in control connection with the driving mechanism. The variable-cross-section tunnel excavation device has the beneficial effects that the movable cutting tool bits are arranged on the cutter spokes, the moving speed, the moving direction and the moving stroke of the cutting tool bits are controlled through the driving mechanism, the cutting range of the cutting tool bits is changed, and therefore excavation of a variable-cross-section tunnel is achieved.

This application relates to the field of industrial operating condition identification technology, and discloses a method and system for identifying the operating conditions of industrial furnaces and kilns. This method designs an adaptive sliding window transfer entropy as the fitness function of the optimization algorithm to accurately quantify whether the current time delay sequence is optimal. Simultaneously, it utilizes the DDS-POGIC algorithm to effectively and quickly search for the target sequence even in high-dimensional environments with numerous time delay sequences. Addressing the problems of severe multi-field and multi-phase coupling, dynamic and variable operating conditions, and severe data imbalance in large industrial furnace and kiln systems, a DWTD-SDAE operating condition identification model is constructed. This model effectively mines information from both process variables and operating condition samples, enhancing the guiding role of the operating condition target in the identification process. It can accurately and quickly identify the current operating condition even with imbalanced samples, helping operators quickly grasp operating condition fluctuations and adjust on-site operations in a timely manner.