Abstract: Provided are a method and system for understanding a medical Chinese spoken language, an electronic device, and a storage medium, which relate to the field of semantic understanding technologies. The method includes: inputting a concatenated first vector determined based on the first weighted vector matrix and the medical identification vector semantic representation matrix to an intent recognition model to obtain an intent recognition prediction value; constructing a slot filling question sentence based on the intent recognition prediction value and inputting the slot filling question sentence into a second semantic vector determining model to obtain a slot filling vector semantic representation matrix, thereby determining a concatenated second vector; and inputting the concatenated second vector into a slot filling model to obtain a slot filling prediction value. This improves accuracy of understanding the medical Chinese spoken language.

Abstract: The present application provide a wind turbine blade lifting device based on an offshore wind turbine unit, including: a clamping assembly and an adjusting assembly, where the clamping assembly includes a clamping box and a plurality of clamping base members, the clamping box is internally provided with a fixing plate, and the plurality of clamping base members are independently provided on both sides of the clamping box; the clamping base members penetrate through a sidewall of the clamping box and extend into the clamping box and are detachably connected to the adjusting assembly provided in the clamping box; the adjusting assembly includes a conveying member, a hydraulic barrel, and a fixing barrel, the conveying member is provided at bottom of the fixing plate, both sides of the conveying member are detachably connected to the plurality of clamping base members, respectively.

Abstract: Disclosed is an operation and maintenance method and system for automatically and uniformly managing nodes of bastion host. No matter distribution of user permission, daily deployment of machine monitoring and network monitoring or batch management of daily operation and maintenance, the operation and maintenance method and system can be abstracted as follows: master control dispatches a Master of a certain area node to issue and execute a certain task, and unified management is naturally achieved; the design concept can be continued subsequently.

Abstract: An operation and maintenance method and system for automatically and uniformly managing nodes of bastion host can be abstracted as follows: master control dispatches a Master of a certain area node to issue and execute a certain task, and unified management is naturally achieved; the design concept can be continued subsequently. A Master host in the node serves as a master controller of the node, and related contents including a tool script library, a crontab task and a configuration file are preset in a Redis of the node in advance; when a new machine is accessed to a certain node, the new machine performs Salt-Master access management of the node where the new machine is located, and the corresponding machine is controlled to complete the corresponding task through a takeover program; therefore, unified and automatic management is realized.

Abstract: Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.

Abstract: Provided are a method and system for understanding a medical Chinese spoken language, an electronic device, and a storage medium, which relate to the field of semantic understanding technologies. The method includes: inputting a concatenated first vector determined based on the first weighted vector matrix and the medical identification vector semantic representation matrix to an intent recognition model to obtain an intent recognition prediction value; constructing a slot filling question sentence based on the intent recognition prediction value and inputting the slot filling question sentence into a second semantic vector determining model to obtain a slot filling vector semantic representation matrix, thereby determining a concatenated second vector; and inputting the concatenated second vector into a slot filling model to obtain a slot filling prediction value. This improves accuracy of understanding the medical Chinese spoken language.

Abstract: Disclosed in the present disclosure is an intelligent cut tobacco drying control system and method based on volatile moisture content, wherein the system comprises a heat and mass transfer process analysis module, a material and energy accounting module, a prediction model module, a model control module and an abnormality early warning module. The present disclosure analyzes a drying process of the thin sheet shredded tobacco leaf drying machine, can provide theoretical support for building the intelligent control system under changeable conditions and realize intelligent production of drying shredded tobacco leaves. The present disclosure aims to transform the existing control mode and accurately predict the drainage opening by using a fitting model between the volatile moisture content and the drainage opening, so as to realize transformation from artificial control to intelligent control.

Abstract: Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.

Abstract: An intelligent control system and method of thin plate dryer for cut tobacco are provided. The system includes a factor searching and screening unit, a control unit, an early warning unit. The control unit adopts a dual-model control method and establishes a process parameter control model and an energy balance model, the control unit calculates the moisture discharge opening value in real time according to the dual-model; the early warning unit is configured to connected with the control unit, and send out an alarm information based on early warning signal. The present disclosure is designed to transform the traditional control into intelligent precision control, improve product quality, reduce product differences between batches and build an intelligent early warning function.

Abstract: A system and a method for on-line analysis of a structure of dried shredded tobacco are provided. The system includes a shredded tobacco structure on-line analysis module, a shredded tobacco filling capacity prediction model module, and an early-warning module. The shredded tobacco structure on-line analysis module includes a sample extraction unit, a sample analysis unit and a shredded tobacco filling capacity data acquisition unit. The shredded tobacco filling capacity prediction model module includes a model parameter screening unit and a model construction unit. An early-warning threshold is provided in the early-warning module, and when a deviation of a predicted shredded tobacco filling capacity from a standard value exceeds the early-warning threshold, an alarm is given. The new system is an intelligent system with functions of shredded tobacco structure analysis, shredded tobacco filling capacity prediction, and abnormality early-warning determination and analysis.

Abstract: An intelligent control system and method of thin plate dryer for cut tobacco are provided. The system includes a factor searching and screening unit, a control unit, an early warning unit. The control unit adopts a dual-model control method and establishes a process parameter control model and an energy balance model, the control unit calculates the moisture discharge opening value in real time according to the dual-model; the early warning unit is configured to connected with the control unit, and send out an alarm information based on early warning signal. The present disclosure is designed to transform the traditional control into intelligent precision control, improve product quality, reduce product differences between batches and build an intelligent early warning function.

Abstract: A system and a method for on-line analysis of a structure of dried shredded tobacco are provided. The system includes a shredded tobacco structure on-line analysis module, a shredded tobacco filling capacity prediction model module, and an early-warning module. The shredded tobacco structure on-line analysis module includes a sample extraction unit, a sample analysis unit and a shredded tobacco filling capacity data acquisition unit. The shredded tobacco filling capacity prediction model module includes a model parameter screening unit and a model construction unit. An early-warning threshold is provided in the early-warning module, and when a deviation of a predicted shredded tobacco filling capacity from a standard value exceeds the early-warning threshold, an alarm is given. The new system is an intelligent system with functions of shredded tobacco structure analysis, shredded tobacco filling capacity prediction, and abnormality early-warning determination and analysis.

Abstract: Embodiments of the present disclosure provide a battery heating system, a battery assembly and an electric vehicle. The battery heating system includes: a battery group having a positive terminal and a negative terminal; a switch having a first end connected with the positive terminal; a large-current discharge module, and a controller connected to the switch and configured to control the switch according to a temperature of the battery group. A first end of the large-current discharge module is connected to a second end of the switch, and a second end of the large-current discharge module is connected to the negative terminal. When the switch is turned on, the battery group discharges via the large-current discharge module and the battery group is heated due to an internal resistance thereof.

Abstract: Embodiments of the present disclosure provide a battery heating system, a battery assembly and an electric vehicle. The battery heating system includes: a battery group having a positive terminal and a negative terminal; a switch having a first end connected with the positive terminal; a large-current discharge module, and a controller connected to the switch and configured to control the switch according to a temperature of the battery group. A first end of the large-current discharge module is connected to a second end of the switch, and a second end of the large-current discharge module is connected to the negative terminal. When the switch is turned on, the battery group discharges via the large-current discharge module and the battery group is heated due to an internal resistance thereof.