Abstract: The present disclosure provides an industrial Internet of Things for controlling a supply of accessories and control methods. The industrial Internet of Things comprises a user platform, a service platform, a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured to include different accessory supply devices, each of which is configured with a data collector. The sensor network platform receives and sends accessory supply data to different management sub-platforms. The different management sub-platforms receive the different accessory supply data, after data processing, store and send at least one processing result data to different service sub-platforms. The different service sub-platforms receive and send corresponding processing result data to the user platform separately. The user platform generates a first instruction to a corresponding service sub-platform based on the at least one processing result data.

Abstract: The embodiment of the present disclosure provides a method and an Internet of Things (IoT) system for adjusting a pressure of a smart gas pipeline network. The method includes: obtaining gas delivery parameters of a preset point in a gas pipeline branch; obtaining gas data corresponding to the gas pipeline branch; determining an estimated value of a gas loss rate of the gas pipeline branch; determining a confidence level of the estimated value; in response to the confidence level satisfying an update condition, updating the preset point to determine an update point; determining an update confidence level; determining a composite confidence level of the estimated value; determining an adjustment factor; determining the gas loss rate; and in response to the gas loss rate satisfying a first predetermined condition, determining a target operating parameter, and adjusting a pressure of a gas network based on the target operating parameter.

Abstract: The embodiment of the present disclosure provides methods and Internet of Things systems for visual management of smart gas data center processes. The method is executed by a smart gas management platform of the Internet of Things system. The method includes: obtaining a data acquisition feature and first sampling data; obtaining a data summary feature and second sampling data; obtaining a first task list and a second task list, determining a first processing feature of the first task list and a second processing feature and a queuing feature of the second task list; determining an estimation feature, the estimation feature at least including an estimated completion time of the at least one gas task, and an estimated queuing time of the at least one pending gas task; generating first visualization data; and controlling at least one target platform to display the first visualization data.

Abstract: A device for cooking foodstuff includes a frame having an opening; and an insert removably coupled to the frame at the opening. The coupled frame and insert form a cooking plate comprising a top cooking surface for supporting foodstuff thereon and a bottom heat-receiving surface for receiving heat from a heat source. The insert comprises a first side having a generally flat surface and a second side having a corrugated surface comprising a pattern of ridges. The insert can be coupled to the frame with the first or second side facing up so that the side that is facing up forms a part of the top cooking surface. A set of cookware is also provided, which includes the frame and a plurality of such inserts, wherein the inserts differ from one another in at least one of dimension, shape, and composition.

Abstract: The present disclosure provides a method and an Internet of Things system for determining traffic time in a smart city. The method may include: obtaining traffic data information transmitted by the sensor network platform based on at least one object platform, wherein the traffic data information includes itinerary information of a user, vehicle information of a preset route, and channel information of a preset channel; determining a passing time of the preset channel in the preset route from a current location to a target location through processing the traffic data information based on a time prediction model, wherein the time prediction model includes a first embedding layer, a traffic flow distribution layer, a second embedding layer, a queuing distribution layer, and a channel passing time output layer, and the time prediction model is a machine learning model.

Abstract: A posture recognition method is applied to a mobile terminal, the mobile terminal includes a visual inertial unit and an accompanying unit different from the visual inertial unit, and the accompanying unit is started earlier than the visual inertial unit. The method includes: acquiring by the accompanying unit initialization parameters used by the visual inertial unit for initialization when the mobile terminal is in a stable state; and acquiring by the visual inertial unit the initialization parameters from the accompanying unit when an initialization condition is met, and initializing the visual inertial unit based on the acquired initialization parameters, to output posture data of the mobile terminal based on an initialization result.

Abstract: A terminal includes: a reception unit configured to receive a command that designates a first timing adjustment value and information from a base station; and a control unit configured to calculate a second timing adjustment value that is used for uplink transmission in a non-terrestrial network using the information and the first timing adjustment value.

Abstract: The present application discloses a method for manufacturing fin field effect transistors, comprising: step 1: performing first time etching to form top portions of fins, each of the top portions is divided into a first section and a second section; step 2: forming sacrificial sidewalls on the side surfaces of the second section but not on the side surfaces of the first section; step 3: forming a doped dielectric layer to coat the side surfaces of the first section; step 4: performing a dopant drive process to diffuse dopants of the doped dielectric layer into the first section; step 5: removing the doped dielectric layer and the sacrificial sidewalls; step 6: performing second time etching to form bottom portions of the fins; and step 7: forming a dielectric isolation layer between adjacent fins.

Abstract: Disclosed is a method and a system for accident rescue in a smart city based on the Internet of Things. The method is implemented by a rescue management platform, including: obtaining monitoring information of a target area by a sensor network platform; judging whether an abnormal accident occurs in the target area based on the monitoring information; determining an accident type of the abnormal accident when the abnormal accident occurs in the target area; generating rescue reminder information based on the accident type, wherein the rescue reminder information includes a rescue mode of the abnormal accident; and sending the rescue reminder information to a rescuer. The system includes a rescue management platform, a sensor network platform, and an object monitoring platform. The method may be executed after the computer instructions stored in the computer-readable storage medium are read.

Abstract: A data transmission method includes: sending, by a network device, a fixed-length downlink control information (DCI), wherein the fixed-length DCI comprises a detection parameter corresponding to a variable-length DCI.

Abstract: A UE may be configured to select narrower or wider beams that may be suitable for use with a current UE mobility, scattering environment, etc. The UE may track changes to an identified beam of a certain width, and so may recover from tracking or other radio link failures by switching to a beam that is spatially adjacent or to a beam of a different width. The UE may identify a first beam associated with a first beam width based on at least one reference signal received by the UE. The UE may further determine a set of beams based on the first beam width that is associated with the identified first beam, and the determined set of beams may include at least one beam corresponding to the first beam width. The UE may further measure respective channel qualities associated with each beam of the determined set of beams.

Abstract: The embodiments of the specification provide a method for civil administration in a smart city based on the Internet of Things (IoT). The method may include: a civil administration platform obtaining target resident information of a target area from a civil service platform, wherein the target resident information may be obtained by the civil service platform after processing resident information of a target user in response to a civil service request sent by the target user through a user platform; and determining, based on the target resident information, an increased population of the target area within a target period.

Abstract: Provided in the present disclosure is a communication method for a third network element. The communication method includes: receiving a downlink control information format (DCI Format); and relaying a signal between a first network element and a second network element according to information carried in the DCI Format. Further provided in the present disclosure are a communication method for a first network element, an electronic device and a computer-readable medium.

Abstract: A transparent antenna includes a first substrate and a second substrate oppositely arranged; the first substrate includes: a first dielectric layer having a first surface and a second surface oppositely arranged; at least one first radiation part on the second surface; at least one feeding structure on the second surface and feeding the first radiation part; the second substrate includes: a second dielectric layer having a third surface opposite to the second surface and a fourth surface oppositely arranged; at least one second radiation part on the fourth surface, an orthographic projection of each second radiation part on the first surface at least partially overlaps an orthographic projection of one first radiation part on the first surface.

Abstract: This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, relating to synchronization signal block (SSB) selection for paging occasions (POs). In an example, a UE may identifying a first SSB overlapping with or after a PO. The UE may further identify that a distance between the first SSB and the PO is less than a distance between a second SSB the PO, the second SSB located before the PO. The UE may further select the first SSB associated with loop operations based on identifying that the distance between the first SSB and the PO is less than a distance between the second SSB the PO.

Abstract: The present invention relates to the technical field of fire extinguishing equipment, and in particular, relates to a multi-mode starting dry powder fire extinguishing ball for fire alarm and automatic starting of a fire extinguishing device, comprising a ball body. A fire extinguishing medium is provided in the ball body; the ball body is also provided with a driving device for enabling the inside of the ball body to expand to the explosion thereof after being started; the driving device is provided with a first lead which extends to the outside of the ball body and can enable the driving device to start after being heated; the driving device is also provided with a second lead which extends to the outside of the ball body and can enable the driving device to start after being powered on.

Abstract: This present disclosure provides a method and system for fire monitoring and early warning in a smart city based on Internet of Things. The method being executed by the management platform, and the method comprising: obtaining monitoring data collected by the object platforms through the sensor network platform, the monitoring data including smoke data, temperature data, image data of a drone, and manual inspection data, the manual inspection data being obtained based on a manual inspection interval; determining a fire risk level based on the monitoring data; in response to the fire risk level meeting a preset condition, sending an alarm to the user platform through the service platform; and in response to the fire risk level not meeting the preset condition, determining the manual inspection interval based on the fire risk level, and sending the manual inspection interval to the service platform and/or the user platform.

Abstract: The present disclosure provides a method, an Internet of Things system and medium for abnormal judgment and safety inspection of smart gas harmful components.

Abstract: Disclosed is a display screen device. The display screen device includes a lifting structure, a display screen, a main control unit, a driving unit, a power supply unit, and an anti-collision unit. The display screen is fixed to the lifting structure. The main control unit is electrically connected to the display screen. The driving unit is electrically connected to the main control unit and configured to drive the lifting structure. The power supply unit is configured to supply power to the display screen, the main control unit, and the driving unit. The anti-collision unit is provided in the lifting structure and electrically connected to the main control unit, and the anti-collision unit is configured to detect an impact happening to the lifting structure when the lifting structure is lifting or lowering.

Abstract: A generator fault detection method based on the characteristics of air gap magnetic flux density includes the following steps: S1: installing detection devices on a generator and building a test platform; S2: obtaining an air gap magnetic flux density signal through the detection devices; S3: transforming a time domain signal of the magnetic flux density into a frequency domain signal by using a fast Fourier transform; S4: judging if the generator has an air gap eccentricity or a stator inter-turn short circuit fault through the comparison of time domain and frequency domain; S5: obtaining a value of air gap magnetic flux density by calculation, selecting and then comparing a root mean square value of magnetic flux density under different working conditions with the root mean square value of magnetic flux density under normal condition to determine a fault degree.