109results about How to "Achieve optimal configuration" patented technology

The invention relates to the technical field of order processing, and discloses a member order processing method, device and equipment and a storage medium, and the method comprises the steps: collecting multi-platform member information, constructing a member graph structure, and carrying out the node feature extraction, and obtaining a multi-dimensional member feature vector; performing feature fusion on the multi-dimensional member feature vector and the to-be-processed order data to obtain a member-order fusion feature vector; order classification is carried out to obtain an order classification result and a processing priority; performing multi-platform collaborative integer programming and solving to obtain a cross-platform order allocation scheme; performing member value evaluation to obtain a dynamic member value score and hierarchical division information; and inputting the dynamic member value score and the hierarchical division information into a dynamic right and interest distribution model based on the deep Q network for right and interest distribution strategy optimization to obtain a personalized member right and interest combination, and the method can comprehensively utilize multi-platform data to realize intelligent order processing and dynamic right and interest distribution.

The invention discloses a lithium battery charging and discharging control method and system, a product and a medium, and relates to the field of charging control, and the method comprises the steps: collecting the terminal voltage and charging and discharging current data of a current battery, and calculating the state of charge and the state of health of the current battery according to the terminal voltage and the charging and discharging current data; collecting surface temperature data of the current battery, and judging whether the surface temperature data is within a preset safety interval range or not; if yes, a preset charging curve corresponding to the charge state, the health state and the surface temperature data is called from a preset battery model database, and the preset charging curve comprises a plurality of charging stages; based on the charge state, the health state and the surface temperature data, carrying out segmented correction on the charging multiplying power and cut-off voltage of the preset charging curve to obtain an optimal charging curve; and charging the current voltage based on the optimal charging curve. By implementing the method, the charging efficiency of the lithium battery can be improved.

The invention relates to the technical field of intelligent water supply scheduling optimization, and particularly discloses a water supply scheduling method and system based on a multi-objective optimization model, and the method comprises the steps: calculating a water supply suitability score through the comprehensive analysis of water quality, water supply amount and water supply energy consumption data, and dividing the water supply scheduling into suitable scheduling and non-suitable scheduling according to the score; for proper scheduling, continuing to execute the current water supply scheme and reducing the monitoring frequency; for non-suitable scheduling, determining an adjustment interval by analyzing a water quality deviation index, a water supply amount fluctuation index and a water supply energy consumption index in a plurality of monitoring periods, and adjusting water supply data according to the adjustment interval so as to improve a water supply suitability degree score; the reliability and stability of the water supply system can be improved, energy conservation, emission reduction and resource optimization configuration are achieved, and efficient and stable operation of the water supply system is ensured.

The invention relates to the technical field of audio and video production, and discloses a distributed audio and video production system, which comprises a user operation interface and a media processing center, and is characterized in that the media processing center integrates audio and video data from a plurality of creation nodes, such as video recording equipment, audio acquisition equipment and the like, provides comprehensive data support for users, and improves the user experience. And real-time audio and video editing, manufacturing and publishing are realized. The core of the system is composed of a network communication layer, a service processing layer, a media access layer and a media storage layer, the network communication layer provides flexible connection services, the service processing layer adopts a distributed architecture and supports efficient data acquisition and processing, the media access layer realizes rapid data access, and the media storage layer ensures safe storage and expansion of data. By optimizing key links such as data management and control, communication connection, service processing and data storage, the audio and video production efficiency and quality are remarkably improved, and the large-scale, multi-node and high-real-time production requirements are met.

The invention discloses a wind-light-water storage active power cooperation real-time control method and system, and solves the problems that a wind-light output correlation output curve cannot be considered in an existing method, and a power distribution network operation state model only depends on a wind power photovoltaic output curve, a load curve and the state of energy storage equipment; the method comprises the following steps: in combination with a wind and light probability distribution function, improving a dynamic time bending algorithm to quantitatively describe wind and light output correlation; constructing a cooperative scheduling model based on wind and light output correlation and cascade failure simulation; according to the method, a wind-solar probability distribution function of active power output of wind power generation and photovoltaic power generation is defined through a probability distribution method, and the wind-solar output correlation is quantitatively described based on an improved dynamic time bending algorithm, so that a wind-solar output correlation output curve which is quantitatively expressed is effectively combined and considered when a collaborative scheduling model adaptively searches an optimal solution parameter; and the change of wind and light output can be predicted and simulated more accurately.

The invention belongs to the technical field of compressed air energy storage, and discloses a salt cavern compressed air energy storage reservoir stability grade evaluation method and system, and the method comprises the steps: obtaining salt rock physical and mechanical parameters, stratum structure parameters and salt cavern internal structure parameters; selecting a stability evaluation index of the salt-cavern compressed air energy storage library; establishing a three-dimensional geomechanical model of the salt cavern energy storage library and performing simulation calculation; constructing an evaluation model; determining an index weight value of the stability of the salt-cavern compressed air energy storage library; calculating an evaluation grade; and adjusting and optimizing operation parameters of the salt cavern energy storage bank. According to the method, by providing a systematic quantitative analysis process and a unified evaluation index system, the accuracy and reliability of stability evaluation of the salt-cavern compressed air energy storage library are remarkably improved, and an important technical support is provided for development and application of a salt-cavern compressed air energy storage technology. Important technical support is provided for development and application of a salt cavern compressed air energy storage technology, and commercialization and large-scale development of the technology can be promoted.

The invention discloses a multi-key index fusion service resource scheduling method based on AI large model driving, and relates to the technical field of intelligent resource scheduling, when new service resources are generated, a scheduling process is automatically triggered, and service task information of the service resources is identified and collected; and collecting latest engineer related data, and integrating engineer data and task information to obtain a multi-dimensional task data set. According to the multi-key index fusion service resource scheduling method based on AI large model driving, through comprehensive consideration of factors such as working saturation and distance, overfatigue of engineers and unnecessary path time waste are avoided, resources can be quickly responded, and the average duration of resource processing is reduced, so that the overall service efficiency is improved, and the service quality is improved. And the resources are allocated according to the skills and historical good reputation rates of the engineers, so that the resources are ensured to be processed by the engineers with corresponding capabilities and high service quality, and the success rate of resource processing and the customer satisfaction are improved.

The invention discloses an intelligent power distribution network coordination control method and system based on data analysis and a medium, and relates to the technical field of power distribution network coordination control, and the main scheme is that real-time load data, historical load data and historical meteorological data of each node in a power distribution network are collected, and a future load prediction value is calculated according to the data; estimating the load demand of the power distribution network; the state of the power distribution network is evaluated by calculating the capacity-load ratio of the power grid and comparing the capacity-load ratio with a preset optimal value; detecting an abnormal value according to the historical load data and the real-time load data, and judging whether the power distribution network has an abnormal operation condition or not; setting a coordination control strategy; according to load prediction, power grid state evaluation and anomaly detection results, a corresponding control strategy is intelligently selected and triggered so as to optimize resource configuration of the power distribution network, balance load requirements and maintain voltage stability; the control strategy is dynamically adjusted by collecting real-time data in the execution process of the coordination control strategy, and efficient and stable operation of the power distribution network is ensured.

The invention relates to the technical field of thermal power plant equipment maintenance, and discloses a thermal power overhaul platform fusing equipment information, overhaul standards and GIS dynamic grids, the platform is integrated with an equipment information acquisition module, and the equipment state, operation parameters and appearance images are acquired in real time; accurate positioning and space management of equipment are realized through a GIS dynamic grid construction module; the maintenance standard matching module automatically matches maintenance standards according to equipment characteristics and generates a task list; the data analysis module deeply analyzes data, predicts faults and preferentially sorts maintenance tasks; the maintenance plan generation module automatically generates a high-efficiency maintenance plan according to the information; a supervisory feedback module ensures plan execution and facilitates continuous improvements. According to the platform, through intelligent and refined management, the efficiency and quality of equipment maintenance of the thermal power plant are remarkably improved, the stability and safety of power supply are guaranteed, and the platform has high practical value and application prospects.

The invention relates to a method, a device, equipment and a medium for optimizing an SSD (Solid State Disk) write buffer area, and the method comprises the following steps: acquiring a newly written operation request to obtain written data; judging whether the new write-in is host write-in or not; if so, writing the write-in data into a data preparation area; judging whether the data volume in the data preparation area reaches a concurrent write-in threshold value or not; if yes, concurrence data is formed, the concurrence data prepared in the data preparation area is transferred into the data programming area, and the concurrence data is transmitted to a specified Page of each DIE specified WL; whether loading of the Page data corresponding to the WL is completed or not is judged; and if the loading is completed, initiating a programming command of the WL corresponding to each DIE until the data programming is completed. According to the invention, the key data can be processed in time, the delay of data processing is reduced, the idle or excessive allocation of resources is avoided, and the optimal configuration of the resources is realized.

The invention relates to the technical field of cloud computing, and particularly discloses a cloud computing resource optimal configuration system and method based on a block chain, and the method comprises the steps: carrying out the fine-grained time sequence analysis of the use data of resources in the working time of a virtual machine through employing a data processing technology based on deep learning; the method comprises the following steps of: capturing a use data time sequence change trend of a resource in each local time domain according to the use data time sequence characteristics of the resource, and performing dynamic propagation aggregation of the use data time sequence characteristics of the local time domain on the basis of the use data time sequence characteristics of the current local time domain so as to capture a global time sequence correlation change characteristic of the use data of the resource; therefore, intelligent estimation of the expected value of the resource demand quantity of the virtual machine is realized. Through the mode, the adaptability to the resource demand change is obviously enhanced, so that the accuracy of cloud computing resource allocation is effectively improved, and the optimal configuration of the cloud computing resources is realized.

The invention relates to the technical field of power systems, in particular to a two-stage wind storage coordinated planning method and device considering source load uncertainty, and the method comprises the steps: obtaining distributed wind power planning data and distributed energy storage planning data; based on the distributed wind power planning data and the distributed energy storage planning data, establishing a two-stage wind storage coordinated planning scheme considering the source load uncertainty; the two-stage wind storage coordinated planning scheme is input into a target model, the target model outputs respective target access positions and target capacities of the wind power plant and the energy storage equipment, the target model is established based on a target ant lion algorithm, and an adaptive Levy flight mechanism and a golden sine algorithm are introduced into position updating of the target ant lion algorithm. Therefore, the problems of output uncertainty, voltage out-of-limit, power grid loss increase, operation cost increase and the like of the distributed power supply in related technologies are solved.

The invention provides a local coupon transaction method and device, and relates to the technical field of local coupon transaction, and the key points of the technical scheme are that the method comprises the steps: obtaining land parcel information and river channel construction partition information; dividing the land parcels in the land parcel information into a plurality of value units according to the river channel construction partition information; obtaining time sequence information of river channel construction; endowing each value unit with a time sequence weight coefficient; generating value flow coupons according to the value units and the time sequence weight coefficients, wherein the value flow coupons comprise time sequence information and space information; obtaining project progress information and greenbelt node position information; calculating the current value of each value unit by adopting a value flow model according to the project progress information and the greenbelt node position information; and establishing a value flow coupon transaction rule according to the current value, and executing the transaction matching of the value flow coupon. The local coupon transaction method and device provided by the invention have the advantages that the transaction strategy is dynamically adjusted in the project proceeding process, and the optimal configuration of the overall benefit is realized.

The invention belongs to the technical field of space planning, and particularly relates to a land space planning evaluation method based on deep learning, and the method comprises the steps: constructing a scene graph structure, generating an initial scene graph, updating the scene graph through an iteration planner, recording and feeding back, and enabling the scene graph structure to visually present the relation between planning objects. The complex territorial space layout can be conveniently analyzed; the method comprises the steps of extracting physical characteristics of a current scene graph, deploying a planning evaluation model to generate label distribution, determining evaluation indexes to calculate spatial planning loss, optimizing the planning evaluation model, deeply mining current scene graph information, facilitating accurate grasping of relation characteristics between objects, providing accurate evaluation for spatial planning, comprehensively considering planning constraints, and improving the planning efficiency. Reliable decision support is provided; a dynamic updating mechanism is adopted to discover a space planning problem in time, and rationality and feasibility of space planning are improved.

The invention relates to the technical field of radio metering, and discloses an ultra-wideband spectrum sensing radio metering calibration method and system, and the method comprises the steps: carrying out the time-frequency domain transformation and sliding interception of millimeter wave ultra-wideband spectrum signals collected by a plurality of receiving channels, and obtaining an initial power density matrix; performing correlation analysis and signal-to-noise ratio calculation on the signals of each sub-frequency band to obtain an effective power density matrix; performing change rate calculation and frequency band switching opportunity analysis on the power density data of each sub-frequency band to obtain a sub-frequency band scanning sequence and minimum measurement time; performing adaptive optimization on the system sampling parameters to obtain a target sampling parameter set; and re-measuring the power density of each sub-band by using the target sampling parameter set to obtain a measurement result, and carrying out error statistics on the measurement result to obtain a calibration compensation matrix which comprises a compensation coefficient of the frequency point to be calibrated. According to the invention, the continuity and real-time performance of the measurement process are realized, and the calibration efficiency is improved.

The invention relates to the technical field of cloud edge collaboration, in particular to an edge computing cloud edge collaboration method, system and device, and the method comprises the steps: obtaining a real-time monitoring video shot by each AI camera in a single target area, dividing the real-time monitoring video into an effective video segment and an invalid video segment, the effective video segment is divided into a dominant clear frame group and a hidden clear frame group according to the definition, a method for obtaining target information is determined according to the type of the clear frame group, the edge filtering module receives the target information of the dominant clear frame group and the clear enhanced frame group, all the target information of the single effective video segment is determined according to the time sequence relation, and the target information is obtained. And filtering to generate effective target information, and determining traffic information of each time period according to the effective target information. According to the method and the system, the dependence on cloud resources is reduced through a processing mode of cloud edge collaboration and cloud centralization removal, and the optimal configuration of the resources is realized.

The invention discloses a railway line environment potential safety hazard intelligent identification system, which mainly comprises a sensor module, a data processing unit and an alarm and feedback system, and is characterized in that the sensor module comprises a video monitoring camera, an environment sensor (such as a temperature sensor, a humidity sensor, a vibration sensor and a noise sensor), a laser radar and a gas detection sensor; the system is used for collecting multi-dimensional data along the railway, the safety monitoring efficiency and the early warning capability of the environment along the railway are remarkably improved through the application of the system, and high efficiency of informatization management and hidden danger rectification is achieved. Through an intelligent recognition algorithm, the system can automatically detect and recognize potential safety hazards along the railway, the dependence on manual inspection is reduced, and the emergency response speed and optimization of resource allocation are improved. In addition, the data storage and history backtracking functions of the system support long-term data analysis, and continuous improvement of railway safety management is facilitated.

The invention discloses a thermoelectric waste heat coupling heat supply system based on geothermal energy, and particularly relates to the technical field of energy utilization, comprising: a geothermal energy extraction module transmits geothermal energy to a heat supply pipe network through a geothermal well and a heat pump to realize primary heat supply; the heat pump module raises the geothermal temperature to ensure stable output; the heat supply analysis module monitors the primary heat supply state and judges whether the hidden danger of heat insufficiency exists or not; if the defects exist, the overall heat supply state judgment module generates a geothermal energy heat supply index and a heat pump efficiency index, and the heat supply state is comprehensively judged; the control adjusting module triggers the thermal power plant waste heat module according to the result, and secondary temperature increasing is carried out to guarantee heat supply; the geothermal energy and the waste heat of the thermal power plant are organically coupled, the two heat sources are effectively integrated, optimal allocation of resources is achieved, the geothermal energy serves as a basic heat source to meet basic heat supply requirements, the waste heat of the thermal power plant serves as an auxiliary heat source to automatically start to supplement heat when heat supply is insufficient, and therefore continuity and stability of heat supply are guaranteed.

The invention relates to the technical field of copper pipe heat dissipation, in particular to a micro-channel heat dissipation device based on a copper pipe structure, which comprises a heat dissipation substrate, a copper pipe type heat dissipation channel and a liquid cooling circulation system, the copper pipe type heat dissipation channel is composed of a plurality of plastic copper pipes and replaces a traditional micro-channel or vapor chamber structure. The copper pipe is embedded or fixed in the heat dissipation substrate or on the surface of the heat dissipation substrate, cooling liquid circulates in the copper pipe, and efficient heat dissipation is achieved through the combined action of forced convection heat exchange and heat transfer; the copper pipe has good plasticity and can be subjected to three-dimensional bending forming according to heat source distribution and spatial layout, through the synergistic effect of forced convection and phase change heat transfer, the heat transfer efficiency is improved, particularly, extremely high local heat flow density can be coped, the chip is effectively prevented from being overheated, and the heat transfer efficiency is improved. The heat dissipation channel can be bent and formed in a three-dimensional space according to heat source distribution, accurate matching with the heat source form is achieved, limitation of traditional plane heat dissipation is broken through, and optimal configuration of heat dissipation capacity and heat flux density is achieved.

The invention discloses an evaluation system and method for marine pollution degree analysis based on buoys, and relates to the technical field of marine pollution analysis. Comprising a buoy deployment module, a judgment and acquisition module, an early warning report module, a pollution analysis module, a pollution evaluation module and an analysis and treatment module, the system aims at the scene in the gulf, due to the fact that the conditions of rising tide and falling tide exist in the gulf, the system can evaluate and analyze the seawater pollution degree in the target gulf within the period of rising tide and falling tide once, and the corresponding number of buoys need to be arranged according to the actual area of the target gulf; the technical key points are as follows: the system can realize real-time monitoring, intelligent early warning, accurate evaluation and dynamic treatment of water quality of a target bay; and the pertinence and the efficiency of the treatment work are improved through the measures of preferentially dispatching the personnel to the marked position, dynamically adjusting and treating the dispatching estimated value and the like.

The invention provides a wave position dynamic transfer method, system and device based on inter-satellite linkage and a medium, and the method is executed by an overload satellite and comprises the steps: judging whether a self load is overloaded or not; if the load is judged to be overloaded, selecting a to-be-transferred wave position from self-managed wave positions; acquiring state information of the adjacent satellites through inter-satellite interaction with the adjacent satellites; based on the obtained state information, determining a target satellite capable of bearing a to-be-transferred wave position from adjacent satellites having coverage overlapping with the target satellite; negotiating with the target satellite through an inter-satellite link to confirm beam position transfer, and triggering the target satellite to adjust the beam to cover the to-be-transferred beam position; and after negotiation confirmation, controlling the user equipment in the to-be-transferred wave position to be switched to the target satellite, and releasing the wave position resources. By adopting the method, the communication delay of the user equipment can be reduced, the throughput of the user equipment and the constellation resource utilization rate can be improved, and the service quality and user experience of a satellite communication system can be comprehensively optimized.

The invention provides a transmission optical path routing planning method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an optical path planning request; based on the endpoint information and pre-stored optical network resource data, generating a plurality of candidate optical paths meeting connectivity requirements among service endpoints; constructing a multi-target fitness function according to an optimization target in the routing strategy, and determining a fitness value of each candidate light path based on the multi-target fitness function; and selecting a target light path from the plurality of candidate light paths. According to the method, the multi-target fitness function is constructed based on the optimization targets in the routing strategy, and the fitness value of each candidate light path is determined based on the multi-target fitness function, so that the comprehensive performance of the plurality of candidate light paths under the plurality of mutually restricted optimization targets is objectively evaluated; therefore, the optimal target light path can be selected from the plurality of candidate light paths based on the fitness value, and the automation level and decision-making efficiency of light path planning are improved.

The invention discloses a power equipment control method based on the Internet of Things, and relates to the technical field of the Internet of Things, which comprises the following steps of: forming a mesh topology structure by power equipment and various sensors, and connecting the power equipment with different communication protocols with an Internet of Things network through middleware, the power equipment is automatically controlled by using a preset control strategy and algorithm, and encryption is performed by using a symmetric encryption algorithm when data communication is performed, and the method has the advantages that the power equipment is connected with the Internet of Things, so that real-time state monitoring can be performed on the power equipment, including operation parameters of the equipment, operation parameters of the equipment and the like. According to the system, the equipment information can be remotely acquired through the Internet of Things platform, such as voltage, current, power, temperature and working state, no matter where the equipment is located, a manager can remotely acquire the equipment information through the Internet of Things platform and carry out remote control operation, such as remote start-stop and parameter adjustment, so that the workload and time cost of manual field inspection are reduced, and the timeliness and convenience of management are improved.

The invention relates to the technical field of beverage preparation, in particular to a processing method of a functional beverage containing embryo elements, which comprises the following steps: separating corn germs from corn kernels, drying the corn germs, and performing microwave treatment at preset microwave power to obtain inactivated corn germs; when it is judged that preparation of the inactivated corn germs does not meet a preset standard according to the oxidation risk characterization value, preset microwave power is increased or the inactivated corn germs are abandoned; the method comprises the following steps: crushing and breaking walls of inactivated corn germs meeting preset standards to obtain germ powder, and performing enzymolysis treatment on the germ powder to obtain a corn embryo base solution; when it is judged that the preparation of the embryo base solution does not conform to a preset standard according to the curve goodness of fit, the reason that the preparation of the embryo base solution does not conform to the preset standard is determined according to the absorbance; and diluting, homogenizing and sterilizing the corn embryo base solution to prepare the functional beverage containing the embryo. The processing efficiency of the functional beverage is improved.

According to the method, the complexity of a remote rural distribution environment is considered, the high dispersion characteristic of order space-time distribution is considered, the differentiation characteristic of multi-vehicle-type transport capacity resources is also considered, and the order combination distribution method based on space-time clustering in a rural common distribution mode is provided. In the first stage, customer geographic positions and order time window constraints are comprehensively considered, reachability-guaranteed clustering is formed to realize order combination, and an initial path feasible solution is constructed based on a space-time clustering result; in the second stage, a simulated annealing framework is designed to be fused into adaptive large neighborhood search, a clustering result is dynamically adjusted according to multi-vehicle-type differential time-space characteristics, and an initial solution is improved; on-demand combination of orders, accurate path planning and multi-vehicle collaborative distribution are realized, and logistics enterprises are helped to cope with distribution challenges of scattered orders, fuzzy time windows and complex road networks in remote rural areas with lower cost on the premise of ensuring distribution timeliness and service quality.

The invention relates to the technical field of bird repelling equipment and image recognition, and particularly discloses an active positioning bird repelling system based on vision and radar fusion. The system comprises a multi-sensor fusion sensing module, a target cooperative processing and positioning module, a dynamic strategy generation module and a multi-mode bird repelling execution module. Through fusion processing of millimeter-wave radar and double-spectrum vision, accurate identification and three-dimensional positioning of a bird target are realized, an optimal bird repelling strategy is dynamically generated based on threat assessment and environmental perception, and directional sound waves and laser are controlled to execute accurate repelling, so that the bird repelling efficiency is improved, and environmental interference is reduced.

The present invention discloses a real-time production collaborative processing method for a supply chain platform, which relates to the technical field of enterprise production and business management, and includes the following steps: S1, data collection and integration; S2, real-time demand forecasting; S3, dynamic configuration of production resources; S4, intelligent production scheduling; S5, abnormality detection and early warning; S6, collaborative production adjustment; S7, real-time feedback of production status; S8, adaptive production plan update; S9, real-time inventory management. The real-time production collaborative processing method for a supply chain platform realizes efficient dynamic adjustment in demand forecasting, resource allocation, and production task scheduling, can learn and optimize production plans in real time, dynamically adjust resource allocation, and automatically trigger production adjustment mechanisms through collaborative platforms when abnormalities or demand changes are detected, so as to ensure the efficiency and stability of the production process, significantly improve the flexibility and response speed of production scheduling, and realize the optimal configuration of production resources.

The invention discloses a method and a device for guiding and optimizing data traffic across virtual network domains. The method comprises the following steps: edge gateway equipment of a first communication branch receives data traffic sent from the first communication branch to a second communication branch; according to the invention, through the architecture of combining centralized strategy control and distributed data forwarding, the single-point fault risk in the traditional scheme is eliminated. The data transmission path is directly established between the edge gateway devices, the performance bottleneck caused by the fact that data flow passes through a single agent node is avoided, when any transmission path breaks down, the system can be automatically switched to the standby path within millisecond time, and the reliability and continuity of enterprise cross-branch network communication are remarkably improved.

The application discloses an omnidirectional channel prediction and dynamic coding joint decision method, system and medium, belonging to the multimedia field, and the method is applied to an FTTR gateway and comprises the following steps: determining the communication connection type of the FTTR gateway, a screened terminal and a terminal to be screened according to the IP addresses of the terminal to be screened and the terminal to be screened; determining a first available bandwidth of a video stream flowing from the FTTR gateway to the terminal to be screened and a second available bandwidth of the video stream flowing from the terminal to be screened to the FTTR gateway; determining the smaller value in the first available bandwidth and the second available bandwidth as a maximum code rate B_max available for the screen projection, and notifying the terminal to be screened of the B_max to trigger the terminal to be screened to determine target video coding parameters. The method can provide highly stable bandwidth guarantee for the screen projection service.

The invention relates to the technical field of agricultural planting, and discloses a use method for improving nitrogen fertilizer utilization of rain-fed sugarcanes, which comprises the following steps: S1, laying a base fertilizer: before planting sugarcanes, applying a part of nitrogen fertilizer as the base fertilizer into soil in combination with soil preparation; s4, performing secondary topdressing and staging: performing secondary topdressing after the second period is ended, S501, accurately regulating and controlling the fertilizing amount: judging the demand condition of the sugarcane on the nitrogen fertilizer according to the results of the previous soil nutrient detection and the sugarcane in each growth stage; and S502, supplementing medium trace elements: judging whether the soil is lack of the medium trace elements or not by combining a soil detection result. By accurately regulating and controlling the application amount of the nitrogen fertilizer and reasonably matching the application of other nutrients, the sugarcane can obtain appropriate nutrient supply in different growth stages, optimal allocation of fertilizer resources is achieved, the yield is increased, and meanwhile the situation that fertilizer is wasted due to excessive fertilization and the negative effect that the nitrogen fertilizer of the sugarcane is excessive is avoided.