Method and device for controlling temperature of molten steel during ladle furnace (LF) refining based on interpretable machine learning

    公开(公告)号:US12146200B1

    公开(公告)日:2024-11-19

    申请号:US18655340

    申请日:2024-05-06

    Abstract: A method for controlling a temperature of a molten steel during ladle furnace (LF) refining based on interpretable machine learning includes: acquiring process data of the LF refining and a target temperature of the molten steel during the LF refining; acquiring a prediction model for the temperature of the molten steel during the LF refining; calculating a base value for prediction of the temperature of the molten steel, SHapley Additive explanations (SHAP) values of key factor parameters, and a relationship trend between the key factor parameters and the SHAP values; and calculating a predicted value of the temperature of the molten steel during the LF refining, and acquiring a control result for the temperature of the molten steel during the LF refining according to the relationship trend and the predicted value of the temperature of the molten steel during the LF refining.

    SYSTEM FOR GRADUALLY PULVERIZING AND DRYING WATER-CONTAINING MATERIALS

    公开(公告)号:US20240286143A1

    公开(公告)日:2024-08-29

    申请号:US18581675

    申请日:2024-02-20

    CPC classification number: B02C23/16 B02C18/16

    Abstract: Solid-liquid separation equipment includes a pulverizing and drying device. The pulverizing and drying device includes a pulverizing device and a drying device connected with one another. The pulverizing device has a pulverizing shell, an inlet, a main shaft and impellers, and the main shaft and the impellers are arranged in the pulverizing shell. The impellers are configured to rotate around the main shaft. The inlet forms a sidewall of the pulverizing shell and is intersected with the main shaft or an extension line of the main shaft. A gap is defined between an outer peripheral end of the impeller and the wall of the pulverizing shell. The sludge is efficiently and deeply dried in a condition with no phase change. The sludge is graded, pulverized and dried. During the pulverizing and drying process, the water is liquefied and centrifugally separated, and the water is not completely phase-transformed and removed.

    5G-TSN resource joint scheduling apparatus and method based on DDPG

    公开(公告)号:US12041602B1

    公开(公告)日:2024-07-16

    申请号:US18395771

    申请日:2023-12-26

    CPC classification number: H04W72/1263 H04W72/0446 H04W72/542 H04W72/543

    Abstract: A 5G-TSN resource joint scheduling apparatus includes: a state information acquisition module, a scheduling decision making module, and a configuration module. The state information acquisition module is configured to acquire bottom-layer network information, and process the acquired bottom-layer network information to obtain state information, the bottom-layer network information includes channel information, gate control list information of a TSN domain, and queue information in a base station. The scheduling decision making module is configured to obtain a result of decision making based on the state information output by the state information acquisition module using a DDPG-based reinforcement learning model, the result of decision making includes whether to allocate resources for a current queue and a number of resources actually allocated to the current queue. The configuration module is configured to convert the result of decision making to one or more instructions understandable by the base station to configure the base station.

    Three-degree-of-freedom convenient mobile powder recovery device and recovery method

    公开(公告)号:US11945167B1

    公开(公告)日:2024-04-02

    申请号:US18295578

    申请日:2023-04-04

    CPC classification number: B29C64/357 B07B1/005 B07B1/28 B22F10/73

    Abstract: The present disclosure relates to a three-degree-of-freedom convenient mobile powder recovery device and a recovery method. The three-degree-of-freedom convenient mobile powder recovery device includes: a powder recovery module, a three-degree-of-freedom adjusting module and a drying and sieving module, wherein the powder recovery module is arranged on the three-degree-of-freedom adjusting module and used to recover powder; and the drying and sieving module is arranged on the three-degree-of-freedom adjusting module, connected to the powder recovery module and used to dry and sieve powder recovered by the powder recovery module. The three-degree-of-freedom convenient mobile powder recovery device has a simple structure, which is convenient to be operated. The height and position of the three-degree-of-freedom convenient mobile powder recovery device can be adjusted automatically, so that the recovery device is suitable for the setting of laser processing systems with various heights in the telescopic range.

    Multi-mode smelting method based on the classification system of molten iron

    公开(公告)号:US11900255B2

    公开(公告)日:2024-02-13

    申请号:US18183402

    申请日:2023-03-14

    CPC classification number: G06N3/08

    Abstract: The invention is in the field of iron and steel metallurgy, specifically a method and system for determining the amount of alloy added during the converter tapping process. Given that the LSTM neural network has a strong ability to capture nonlinear relationships, the invention builds an alloy element yield prediction model based on the LSTM neural network. Because different alloy elements have different factors that affect their yield, that is, different model input variables, different LSTM models are established for training. Furthermore, the invention uses integer linear programming to combine the yield prediction results to determine the alloy addition amount. This method not only finds the optimal alloy proportioning scheme quickly, but it also improves the component hit rate and the stability of steel products in the converter steelmaking process, obtains the lowest total cost, effectively reduces alloying costs, and has a good application prospect.

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