807results about How to "Reduce congestion" patented technology

The invention provides a multi-level low-altitude air route network construction method in a complex urban environment, and relates to the technical field of low-altitude air route construction, and the method comprises the steps: building a low-altitude flight rule base; performing three-dimensional discretization on the urban space, and dividing the airspace into three-dimensional grids; designing a risk assessment function R; dividing a plurality of height layers, and distributing the height layers for different types of aircrafts; constructing a multi-stage air route network; constructing an airspace three-dimensional airway model; based on the airspace three-dimensional air route model, adopting a hybrid iterative algorithm to optimize the air route planning of each height layer; performing path smoothing on the discrete path points generated by the hybrid iterative algorithm by adopting a B spline curve, and performing flight performance verification on the smoothed path to obtain a continuous flight path; and generating a low-altitude air route network according to the continuous flight path. According to the method, the defects in the aspects of complex urban environment processing, multi-source data integration, multi-level airspace division, path optimization and the like in the prior art can be overcome, so that safe, efficient and flexible low-altitude flight management is realized.

The invention discloses a road traffic signal control system and method, and the method comprises the steps: collecting real-time data through a sensor, a camera and a geomagnetic device, combining historical data with emergency analysis, and predicting a flow mode and a change trend; green light time distribution is dynamically optimized, a fixed timing, inductive and adaptive control strategy is adopted, and traffic light duration and priority adjustment is achieved; through regional cooperation and linkage control, green wave bands and branch intersection red light optimization are set, and peak period traffic signals are intelligently dispatched. A machine learning model is used to predict a flow peak value, environment and accident detection data are combined, a signal lamp period is dynamically adjusted, vehicle waiting time, traffic efficiency, carbon emission and traffic satisfaction are evaluated, and a traffic control strategy is comprehensively optimized. According to the road traffic signal control system and method, the traffic flow in different time periods is predicted by adopting the flow prediction model based on big data analysis and machine learning, and the signal period is adjusted in advance.

The invention relates to the technical field of AI big data, and discloses an intelligent cold chain integrated management method and system based on AI big data, and the method comprises the steps: carrying out the feature data collection of nodes in a cold chain system, obtaining the original data of the nodes, and constructing a cold chain network initial adjacency matrix; inputting a temperature control parameter identification model to carry out graph convolution operation to obtain a temperature control parameter identification result; performing task decomposition and resource allocation calculation to obtain a multi-region collaborative task allocation scheme; performing dynamic load calculation and inter-region task allocation based on a multi-region collaborative task allocation scheme to obtain real-time task execution state data; performing grading processing on the real-time task execution state data and collecting health assessment data of the cold chain system; according to the method, early warning of temperature control abnormity and equipment-level and system-level cooperative control are realized, and a set of complete intelligent cold chain integrated management solution is formed.

The invention discloses a big data-based shipping center area coordination optimization method and system, and the method comprises the steps: dividing all-day working time into a plurality of decision periods, building a state transition model, maximizing the utilization rate of port resources through an iteration model under constraint conditions, obtaining a resource distribution strategy of each decision period, and obtaining a chain reaction chain. Identifying logistics bottlenecks, adding queuing plans, regarding ships, berths, storage yards and loading and unloading equipment as different agents, dynamically adjusting the queuing plans by using a multi-agent collaborative algorithm, obtaining a final collaborative scheduling method, setting a reward function, and updating a state transition model by using reinforcement learning. And continuous optimization of the scheduling method is realized. According to the method, efficient utilization of port resources is achieved through the multi-agent collaborative algorithm and the reinforcement learning technology, the port operation efficiency is improved, the logistics cost is reduced, the adaptability of a port to uncertainty is enhanced, and meanwhile good interpretability is achieved.

The invention discloses a smart city traffic resource optimal configuration method, a platform and a storage medium, and relates to the technical field of traffic optimization. When a road accident is detected, accident information is collected, and a traffic accident position and traffic accident characteristics are obtained; time consumption prediction is carried out according to the traffic accident characteristics, and traffic control duration is obtained; calling real-time traffic data from an intelligent traffic system to obtain associated road data; executing multi-thread traffic flow back-stepping analysis to obtain associated traffic flow prediction information; carrying out shunting performance evaluation; and dynamically updating the signal lamp configuration of the plurality of shunting candidate roads by taking the associated traffic flow prediction information as a constraint. According to the invention, the technical problems of aggravation of traffic jam and low emergency management efficiency caused by lack of scientificity and dynamic adaptability of shunting planning and lagging of signal lamp regulation in a traffic accident scene in the prior art are solved, and the technical effects of optimizing traffic resource configuration, relieving traffic jam and improving traffic emergency management efficiency are achieved.

The invention discloses an in-tunnel construction vehicle meeting scheduling system based on positioning equipment. The system comprises a basic service module which is used for storing basic data for business service analysis in an acquisition and collection mode; the business service module is used for carrying out detailed analysis of the corresponding service through the data acquired by the basic service, and providing an analysis result to the display end for display; and the display end module is used for displaying the analysis result of the business service module, wherein the display modes comprise a mobile phone APP, a webpage large screen, an LED panel, a tunnel loudspeaker and a tunnel traffic light. The system carries out weight grading on vehicle and personnel positioning labels by standardizing a tunnel construction process, and integrates data of avoidance points of a transverse tunnel. And in combination with an intelligent technology, efficient vehicle meeting scheduling, intelligent construction path planning and avoidance point path planning of the construction area are realized.

The invention provides a centrifugal air conditioner gas-liquid separator, and belongs to the technical field of gas-liquid separators, the centrifugal air conditioner gas-liquid separator comprises a cylinder body and a cylinder cover, the cylinder body is connected with a drainage pipe and an air inlet pipe, the cylinder cover is connected with an exhaust pipe, a supporting ring and a fixing ring are arranged in the cylinder body, a drainage plate, a wind shield and a side plate are arranged in the cylinder body, and a backflow pipe is arranged on the outer wall of the cylinder body. The filter assembly comprises a water absorption piece; the extrusion assembly comprises a telescopic air bag and a fixing plate; the guide assembly comprises a drainage cover, an outer tube and an inner tube, and a rotating rod is arranged in the inner tube; the device has the beneficial effects that the wind shield drives the rotating rod to rotate, so that the turbine fan blades rotate to promote gas emission, and meanwhile, the cleaning plate is driven to clean the surface of the lower filter plate, so that the blockage condition is reduced, the filtering effect is improved, timely and effective cleaning is ensured, in addition, the water absorption part can be automatically extruded to drain water, the maintenance and replacement frequency is reduced, and the working efficiency is improved. The use efficiency is improved.

The embodiment of the invention provides an information processing method, communication equipment, a communication system, a storage medium and a program product. The method is executed by network equipment, and comprises the following steps: sending a first MAC CE to a terminal; wherein the first MAC CE comprises first information, the first information is used for indicating a first bit rate recommended by the network equipment, the first MAC CE is an MAC CE in a first format, and the value range of the recommended bit rate indicated by the MAC CE in the first format is larger than the value range of the recommended bit rate indicated by the MAC CE in a second format. In the technical scheme provided by the embodiment of the invention, the network equipment indicates the first bit rate recommended by the network equipment to the terminal through the first MAC CE, and since the first MAC CE is the MAC CE of the first format, compared with the MAC CE of the second format, the value range of the recommended bit rate indicated by the MAC CE of the first format is larger, and the recommended bit rate can be recommended to the terminal through the first MAC CE of the first format. Therefore, the high-speed requirement of a specific type of service (such as an XR service) of the terminal can be met, so that the rate adjustment of the terminal on the specific type of service is realized.

The invention relates to the technical field of smart city traffic, in particular to a smart city traffic indication system and a working method thereof. According to the technical scheme, the system comprises a multi-source heterogeneous data acquisition module, a data preprocessing and fusion module, a feature extraction and analysis module, a traffic flow prediction and signal timing decision module and a signal display and communication module, the acquisition frequency is dynamically adjusted according to the traffic flow. Traffic and meteorological data are dynamically collected through multiple types of sensors, the quality of data preprocessing and fusion is guaranteed, features are accurately extracted, signal timing is optimized through reinforcement learning, the display and communication module effectively transmits information and cooperates with surrounding traffic, emergency situations can be dealt with, tail gas emission is reduced, pedestrian waiting time is shortened, and traffic safety is improved. And a basis can be provided for long-term traffic planning, and the traffic efficiency, the environmental protection property and the pedestrian friendliness are comprehensively improved.

The invention provides a UE5-based automatic construction and release method, and relates to the technical field of software development, the UE5-based automatic construction and release method comprises a construction module and a release module, and the construction module comprises the basic steps of construction triggering, pre-construction task execution, client and server packaging, log recording and automatic alarm. The release module comprises the basic steps of differential packet generation, version detection and automatic release, the intelligent prediction trigger carries out deep learning analysis on project development historical data, the peak period of code submission and the code conflict risk can be accurately predicted, construction is automatically triggered in the low-risk and resource idle period, and the construction efficiency is improved. The problem of low resource utilization efficiency caused by lack of multi-dimensional comprehensive judgment in a traditional construction triggering mode is effectively avoided.

The invention provides a distributed power supply communication gateway resource scheduling method and system based on dual-mode communication, and relates to the technical field of carrier wireless dual-mode communication, and the system comprises a time division module, a node evaluation module, a channel real-time monitoring module, a channel strategy making module, an efficiency monitoring module and a security analysis module. According to the invention, the output of the distributed power supply is monitored in real time and the access parameters are automatically adjusted to match the power grid demand, so that the efficiency and reliability of energy management are remarkably improved, the data loss is reduced, the communication security is enhanced, the nodes of carrier wireless dual-mode communication are identified, and the time distribution of the nodes in communication is verified; according to the method, the communication network can flexibly cope with load changes, load management of the network is optimized, resource waste or congestion caused by fixed time allocation is reduced, encryption keys are dynamically updated, abnormal data modes are identified, and data safety and tamper-proof capacity are greatly improved.

The invention discloses a hospital internal network security isolation method based on an all-optical network architecture. The method comprises the following steps: S1, dividing a hospital internal network into a plurality of virtual optical slices by using an all-optical network slicing technology; s2, performing time domain isolation by using an optical time domain multiplexing technology, and transmitting data on different optical wavelengths by using a wavelength selective switching technology; s3, monitoring and managing bandwidth allocation through a software defined network control platform; s4, traffic prediction and resource optimization are carried out based on a decision tree integration algorithm; s5, detecting potential anomalies and security threats by using the graph neural network; s6, abnormal behaviors are detected through an isolation forest algorithm, and abnormal traffic is marked and isolated; s7, recording a network traffic log through a block chain technology; and S8, when a network fault occurs, using an intelligent self-healing mechanism to automatically switch redundant optical path resources and recover the optical path. According to the invention, all-optical network slicing and artificial intelligence technologies are fully utilized, and security isolation and resource optimization of a hospital internal network are realized.

The invention provides an efficient article sorting method and system of an intelligent warehousing system, and relates to the technical field of intelligent warehousing systems.The method comprises the steps that warehousing real-time environment data and a target image set for target objects to be sorted are obtained; inputting the target image set into a preset object classification model to determine a target classification corresponding to the target object; determining at least one candidate free goods allocation matched with the target classification, and determining a target transportation path of the target object according to each candidate free goods allocation, the storage real-time environment data and the target classification; determining a target clamping strategy matched with the target classification; and the target path and the target clamping strategy are sent to the AGV and the mechanical arm correspondingly, so that the AGV and the mechanical arm cooperatively sort the target objects. Therefore, the intelligent level of the intelligent warehousing system is remarkably improved, and automatic sorting tasks for various objects can be completed more intelligently.

The invention discloses a traffic flow prediction and signal adjustment method based on machine learning. The method comprises the following steps: data acquisition: acquiring real-time traffic data; data processing: carrying out standardization processing on the traffic flow data and external data; machine learning model training: training the processed multi-modal data through a model; traffic flow prediction: predicting traffic flow change in a period of time in the future according to the current multi-modal data; and signal adjustment: adjusting the traffic signal of each intersection based on the predicted future traffic flow. According to the method, deep learning training is carried out on multi-modal data including traffic flow, weather, emergencies and the like, so that the model can more accurately capture the trend and rule of traffic flow change, and the prediction accuracy is remarkably improved. The system can flexibly adjust the signal period and the green light duration according to the real-time data, so that the traffic signal control has better adaptability, the instantaneous fluctuation of the traffic flow can be effectively dealt with, and the overall efficiency of the traffic system is improved.

The invention belongs to the technical field of extensible computer architecture, and particularly relates to a two-level cache coherence protocol based on a many-core computing architecture. Comprising a many-core computing architecture, the many-core computing architecture comprises a plurality of computing clusters, each computing cluster is formed by interconnection of a plurality of core grains and an I / O and memory controller, and the I / O and memory controller is interconnected with at least two memory DDRs; each core particle is formed by interconnection of a plurality of computing cores and a shared cache LLC; each calculation core is provided with a private cache, and when the data is not in the private cache, the memory access request continues to go to the next-level shared cache LLC or the memory DDR until the latest data is obtained; the shared cache LLC can access the memory DDR only after the shared cache LLC is in butt joint with the memory controller through high-speed interconnection and I / O; and the two-level cache consistency protocol directory is composed of a first-level directory and a second-level directory. According to the invention, the delay of re-reading from the storage system is omitted, the performance is further improved, and the congestion at the storage position is reduced.

The invention relates to the technical field of inter-city cargo splicing and loading, in particular to an inter-city cargo splicing and loading transportation path optimization algorithm based on large model optimization, and solves the problems that in the prior art, an optimization algorithm based on a large model generally relates to a complex calculation process and needs a large amount of calculation resources and time, and especially in a real-time path planning scene, the calculation process is complicated. And the calculation delay can influence the transportation efficiency. The invention discloses an inter-city cargo splicing transportation path optimization algorithm based on large model optimization. The algorithm comprises data collection and preprocessing, model construction and training, algorithm optimization and verification, path optimization calculation, result evaluation and feedback, and algorithm deployment and application. According to the method, various possible transportation paths are analyzed and compared through an algorithm, the optimal path is selected, unnecessary detour and waiting time is reduced, so that the transportation efficiency is improved, and the algorithm can perform intelligent scheduling and reasonable arrangement of transportation vehicles and routes according to real-time traffic conditions, cargo demands, vehicle states and other information.

The invention discloses a traffic transportation emergency command and dispatch system based on big data resources, which is constructed based on the big data resources and mainly comprises a data acquisition module, a big data processing and analysis module, an event early warning and prediction module, an emergency command and dispatch module, an information display and interaction module and the like. Various devices (a sensor, a camera, a GPS and the like) are utilized to comprehensively collect data such as traffic flow, road conditions, weather, events and the like. Acquisition has the characteristics of high frequency and high precision, supports a plurality of data transmission modes and protocols, and can integrate and format the acquired data to guarantee data quality and convenience of subsequent processing. According to the system, effective utilization of traffic data is realized through collaborative operation of all the modules, and the traffic transportation emergency management capability is improved from multiple aspects, including improvement of management efficiency, enhancement of emergency response capability, improvement of decision support, enhancement of information transparency, optimization of resource allocation, reduction of economic loss and improvement of public safety.

The invention belongs to the technical field of interventional robots, and discloses a method, device and equipment for automatically adjusting the collection frame rate and a medium, and the method comprises the steps: obtaining the current movement speed of an interventional robot; adjusting a corresponding collection frame rate according to the movement speed; and controlling a camera to perform data acquisition based on the acquisition frame rate. The appropriate frame rate is selected according to the real-time movement speed of the interventional robot, the high frame rate is provided during high-speed movement by dynamically adjusting the collection frame rate of the camera so as to reduce movement blur, and the frame rate is reduced in a low-speed or static state so as to save bandwidth resources. According to the method, unnecessary data transmission quantity is reduced, network congestion and processing burden are relieved, the overall performance and stability of the system are improved, real-time and accurate transmission of image information is ensured, smooth and clear visual feedback is provided, the accurate control capability in the intervention process is improved, and the safety of the intervention process is improved.

The invention provides a resource scheduling method and device, electronic equipment and a storage medium, relates to the technical field of data processing, and can solve the problems of low network resource utilization rate and low network performance. The method comprises the steps that service information is obtained according to a scheduling request sent by a terminal, a target scheduling algorithm matched with the service information is determined based on a scheduling algorithm model and a scheduling algorithm library, and the scheduling algorithm model is obtained based on real service information, simulation service information and the scheduling algorithm library training; the scheduling algorithm library comprises scheduling algorithms corresponding to a plurality of service scenes, the target scheduling algorithm is used for indicating a scheduling mode of network resource information matched with the service information, and the network resource information comprises cloud nodes, edge nodes and transmission paths; and scheduling the corresponding target processing node and the target transmission path for the service information. The network resource utilization rate and the network performance can be improved.

The invention relates to the technical field of automatic chip removal, in particular to a control method and system for a centralized chip removal machine of a numerical control machine tool, in the control method and system, the adjusting process of compression pressure is optimized through accurate calculation of the chip expansion rate, the cooling rate and the density change, and the influence of temperature change on the compression effect can be more accurately controlled. Through the combination of the expansion coefficient and the cooling time, the temperature fluctuation is monitored in real time, and the compression process is always kept in the optimal state under different machining conditions according to the deviation adjustment of the chip form and the compression pressure. The compression pressure is adjusted on the basis of the chip form data, so that the compression device has higher adaptability to iron chips of different shapes and types, unnecessary energy waste and machine damage are reduced, and the overall operation efficiency is improved. In addition, by dynamically calculating the chip removal flow speed, the conveying resistance and the periodic fluctuation, the chip removal path can be optimized in real time in the machining process.

The invention provides a power grid supply and demand balance regulation and control method based on an improved multi-objective particle swarm optimization algorithm, and the method comprises the steps: taking the capacity of the power of each line of a power distribution network in each line as a constraint, taking the minimum cost, the minimum loss and the minimum voltage deviation as objective functions, and constructing a multi-optimization objective function; a multi-optimization objective function is solved based on improved multi-objective particle swarm optimization, and a power grid supply and demand balance regulation and control scheme is obtained; and performing supply-demand balance regulation and control on the power grid by adopting the power grid supply-demand balance regulation and control scheme. According to the method, three objectives of loss reduction, voltage deviation and minimum cost are taken as a total objective of optimization, and an optimal solution is obtained by adopting an improved multi-objective particle swarm optimization algorithm, so that the capacity of the distributed generator set can be optimized, and the electricity consumption in the peak period can be effectively managed, thereby realizing supply and demand balance of a power grid, reducing line congestion, and improving the reliability of the power grid. The power grid stability and operation efficiency are improved.

The invention discloses a coordinated scheduling method and device for a mixed hydrogen-electricity combined system, and electronic equipment, and belongs to the technical field of electrical engineering, and the method comprises the steps: reconstructing a dynamic response process model of a hydrogen-mixed natural gas network into a linearization matrix adaptive to optimal scheduling; the response conditions of an electric power system and a natural gas system under the action of various flexible resources such as an electric hydrogen production device, a hydrogen-doped gas turbine and pipeline gas storage after a disturbance event can be accurately reflected; taking the linearization matrix as a hydrogen-mixed natural gas network security constraint, and constructing a double-layer optimization model considering different benefit subjects in the joint system; reconstructing the double-layer optimization model into a single-layer optimization problem and solving the single-layer optimization problem to realize scheduling; coordinated operation of an electric power system operator and a natural gas system operator is guided through two price signals, excitation compatibility and high dispatching efficiency are achieved on the economic benefit level, wind and light abandoning is reduced on the operation safety level, power load supply is guaranteed, and meanwhile gas network blocking is relieved.

The invention provides a V2X-based traffic situation early warning method, system and device, and the method comprises the steps: obtaining traffic data collected by a plurality of data sources, and carrying out the preprocessing of the received traffic data; corresponding traffic indexes are determined according to the preprocessed traffic data, and the traffic indexes at least comprise the vehicle pedestrian flow, the vehicle average speed and the lane traffic situation; wherein the lane traffic situation at least comprises a corresponding grade representing a road congestion condition in a preset time period, and the corresponding grade at least comprises one of unblocked, mild congestion, moderate congestion and serious congestion; and evaluating a corresponding traffic situation condition according to the traffic index, and if the traffic situation condition is abnormal, outputting corresponding risk early warning information. Through the real-time data monitoring technology, the urban traffic management efficiency is improved, the traffic jam problem is relieved, and the comprehensiveness and accuracy of information are ensured.

The embodiment of the invention provides a data packet transmission control method and device, a computer readable medium and equipment. The transmission control method comprises the following steps: receiving data packets respectively sent by a data source through a plurality of transmission paths; calculating a hash value corresponding to the data packet according to the packet information of the received data packet; if the Hash value corresponding to the data packet is found in a Hash value storage space, the data packet is discarded, and the Hash value storage space is used for storing the Hash value corresponding to the received data packet; and if the hash value corresponding to the data packet is not found in the hash value storage space, storing the hash value corresponding to the data packet in the hash value storage space, and transmitting the data packet to a downstream service. According to the technical scheme provided by the embodiment of the invention, on the premise of discarding repeated data packets and reducing bandwidth occupied by network transmission, the memory space occupied by storing the information of the received data packets can be reduced, and the data transmission efficiency can be improved.

The invention provides a traffic light passing calculation method and system based on the Internet of Things. The method comprises the following steps: receiving a real-time data stream from an Internet of Things intelligent sensor network, and carrying out space-time consistency processing through a high-precision space-time synchronization technology to generate a traffic condition dynamic panorama; a causal inference algorithm is used for inferring a causal relationship, direct and indirect influence paths are calculated, a space-time sequence modeling technology is used for capturing space-time characteristics, a time-varying rule is simulated, and a future traffic state estimation model is generated; an evolutionary strategy optimization algorithm is used to simulate a natural evolutionary process, an optimal traffic light switching strategy is searched, a multi-objective optimization technology is used to consider a mutual exclusion objective, constraint conditions are introduced to carry out comprehensive evaluation, and a traffic light switching strategy evaluation result is generated; a feedback circulation mechanism is introduced, a model operation result is collected in real time, an adaptability improvement report is automatically formed, and a traffic light passing calculation scheme is generated. According to the technical scheme provided by the invention, the traffic light passing calculation efficiency is remarkably improved.

The invention relates to a semiconductor device and a preparation method thereof. The semiconductor device comprises a semiconductor material layer; the first groove is located in the semiconductor material layer, the side wall and the bottom wall of the first groove are connected through an arc angle, and the included angle between the plane where the side wall is located and the plane where the bottom wall is located is an obtuse angle; the drain region is located in the semiconductor material layer on the periphery of the first groove, and the depth of the drain region is smaller than that of the first groove; the well region is located in the semiconductor material layer below the bottom wall; the field oxide layer extends on the part, between the well region and the drain region, of the bottom wall and the side wall; the gate dielectric layer is connected with the field oxide layer and covers part of the well region; the field plate is located on the field oxide layer; the grid electrode is located on the grid electrode dielectric layer; the source region is positioned on the surface layer of the well region; a current conduction path of the semiconductor device comprises a first current conduction path which is located in the semiconductor material layer and extends close to the bottom wall and a second current conduction path which extends close to the side wall. Therefore, the on-resistance of the device is reduced, and the voltage-resistant performance of the device is ensured at the same time.

The invention relates to the technical field of carbon black processing equipment, in particular to a carbon black dust anti-blocking conveying system which comprises a positive pressure conveying unit, a feeding unit and a negative pressure conveying unit which are connected to a conveying pipeline. The output end of the negative pressure conveying unit is connected with a collecting unit; wherein the positive pressure conveying unit comprises a positive pressure fan connected to the conveying pipeline, the positive pressure fan is connected to the front end of the feeding unit, the positive pressure conveying unit is arranged on the conveying pipeline, air can be forcibly supplied to the pneumatic conveying pipeline, under the normal working condition, micro-negative pressure is kept at an outlet of the positive pressure fan, and the positive pressure fan is connected to the feeding unit. Once the conveying pipe is partially blocked, the positive pressure fan works, the outlet pressure of the positive pressure fan is increased, the powdery carbon black at the blocked part is pushed to flow by positive pressure, so that the normal working condition is recovered, and secondly, the carbon black dust collected by the exhaust bag filter is relatively high in moisture content and is easy to cause blockage, so that the position of the carbon black dust is adjusted to the tail end of the conveying pipe.

According to the model training-oriented gradient data transmission method and the related equipment provided by the invention, the compression ratio is dynamically determined according to the change of the transmission rate by monitoring the transmission rate in real time, so that the gradient data can be intelligently compressed according to the compression ratio, the data transmission quantity is remarkably reduced, and the network burden is relieved; and meanwhile, the transmission rate of each working end is adjusted through congestion control according to the bandwidth of a transmission link between the switch and the parameter server so as to relieve congestion. Under the combined action of the two, the transmission time of the gradient data is remarkably shortened, and the data transmission efficiency is improved, so that the training process of the distributed artificial intelligence model is accelerated, and the overall training efficiency is improved.

The invention relates to the technical field of electrolytic furnaces, and discloses a rare earth molten salt electrolytic furnace based on a continuous uniform feeding structure, the rare earth molten salt electrolytic furnace comprises an electrolytic part, the electrolytic part comprises a furnace body, the bottom of the inner wall of the furnace body is fixedly connected with a molten pool, and the interior of the furnace body is fixedly connected with a cathode and an anode; the cathodes and the anodes are distributed in a staggered mode in the circumferential direction of the furnace body, and a rare earth feeding port is formed in the top of the furnace body. The rare earth molten salt electrolytic furnace based on the continuous and uniform feeding structure can effectively solve the problems that in the prior art, due to the fact that part of rare earth oxides have certain adhesion and high chemical activity when the rare earth oxides are conveyed to the molten salt electrolytic furnace through a spiral feeding machine, the rare earth oxides cannot be separated from the molten salt electrolytic furnace, and the service life of the molten salt electrolytic furnace is prolonged. The problems that due to the adhesion, rare earth oxide is prone to being attached to a spiral blade, a spiral feeding machine is blocked, the conveying efficiency is reduced, and meanwhile corrosion of the blade can be accelerated when the rare earth oxide makes contact with the spiral blade for a long time are solved.

The invention discloses a satellite network access method, electronic equipment and a storage medium, and the method comprises the steps that a terminal sends random access request information used for requesting access to a network side of a first satellite network, and the random access request information carries the current position information of the terminal; the network side receives random access request information sent by the terminal, determines information of other satellite networks which the terminal can access according to the current position information of the terminal, and sends random access response information to the terminal to indicate that the terminal can access other satellite networks according to the carried information of other satellite networks; and the terminal receives the returned random access response information, and accesses other satellite networks according to the information of other satellite networks carried by the random access response information. In this way, the terminal can quickly access other satellite networks.