615 results about "System capacity" patented technology

Some embodiments of the invention provide a method for increasing system capacity of a RIC in a RAN, the RIC including a first datapath pod for forwarding communications between a first set of RAN applications connected to the RIC and a first set of base station components connected to the RIC. The method uses the first datapath pod to forward communications between the first set of RAN applications and the first set of base station components. The method determines that the first datapath pod has insufficient resources for forwarding traffic between the first set of base station components and the first set of RAN applications. Based on said determination, the method configures a second datapath pod on the RIC for forwarding traffic between the first set of base station components and the first set of RAN applications. The method assigns a first subset of the first set base station components to the first datapath pod and a second subset of the first set of base station components to the second datapath pod.

The invention relates to an active and reactive collaborative optimization control method for a photovoltaic energy storage system based on a network-forming inverter, and the method achieves the effective control of active and reactive power through simulating the characteristics of a synchronous generator. And then collaborative optimization of active and reactive power control parameters is carried out. A system frequency response model is utilized to describe dynamic response of system frequency, and a dynamic equation of the system is converted into a discrete form in combination with the dynamic equation of the energy storage unit. Meanwhile, the optimization model is solved by considering system capacity limitation, so that transient frequency characteristics are improved, and frequency deviation after system disturbance is reduced. In addition, the minimum active power loss is taken as an optimization target, the voltage deviation is taken as a penalty term to be substituted into a target function, and a reactive power optimization target function is established. A PSO algorithm is adopted to solve a reactive power optimization function, and reactive power output of photovoltaic and energy storage is adjusted by adjusting VSG control parameters, so that the economical efficiency of a power grid is improved on the premise of ensuring qualified voltage.

The invention discloses a power coupling-considered capacity ratio estimation method for a network-constructing / network-following multi-machine hybrid system, and the method comprises the steps: building a GFL-GFM hybrid system model, combining VSG power coupling small signal modeling and a dynamic relative gain matrix (DRGA), and quantifying the coupling strength of active / reactive power to output voltage; the frequency domain impedance characteristic of the GFM converter is simplified, and an ideal voltage source series equivalent reactance equivalent model is constructed; deriving an analytical relationship between a generalized short-circuit ratio (gSCR) and a capacity ratio based on the model, and generating a ratio formula in combination with engineering boundary sub-scenes to form a ratio range suitable for multiple scenes; for coupling time-varying characteristics, a closed-loop mechanism of'mixed mode-coupling sensing-correction calculation-execution feedback 'is constructed, and the ratio is dynamically adjusted. According to the method, coupling quantization and multi-machine coordination control are deeply fused, the problem that the external characteristic model precision and the multi-working-condition adaptability are difficult to consider under complex environment coupling is effectively solved, and the engineering applicability of the hybrid fan system is enhanced.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention discloses a data storage method and device and a computer storage medium, and the method comprises the steps: obtaining a system storage capacity, a new request resource capacity and a system used capacity, and obtaining a system capacity utilization rate based on the system storage capacity and the system used capacity; in response to the fact that the system capacity utilization rate reaches a threshold value and the current residual capacity does not meet the new request resource capacity, determining a storage capacity needing to be expanded based on the system storage capacity, the new request resource capacity, the used capacity and a preset target utilization rate, creating an expansion space corresponding to the storage capacity, and updating the system storage capacity; based on the updated system storage capacity, determining data to be stored of each node, and determining a data block to be migrated; migrating the to-be-migrated data block to the target node, and updating the data storage state of the current node; through the method, the change of the storage capacity can be dealt with more intelligently.

Devices and systems for increasing the gain and / or offering multiple antenna frequencies while conserving space on the antenna are provided. According to various aspects of the technology, panels with antenna elements are stacked to create a MIMO antenna array with more antenna elements while conserving space. In some aspects, the antenna elements are the same size and produce the same frequency while their physical configuration increases the gain of the antenna. In alternative aspects, the antenna elements are different sizes and produces different frequencies such that the antenna offers a greater variety or bandwidth of frequencies while conserving physical space on the antenna (i.e., maximizing a total quantity of antenna elements associated with the antenna). Using an antenna system and device with an increased quantity of antenna elements increases one or more of the system capacity, data rates, reliability, gain, coverage range, and the like.

The invention discloses a quantum key distribution method, device and system, and belongs to the technical field of networks. The first quantum device generates a modulated optical signal carrying quantum information and classic information. The classic information and the quantum information are simultaneously modulated on at least one polarization of the modulated optical signal. The modulated optical signal includes a plurality of subcarriers at different frequency bands. The classic information and the quantum information are located within different ones of the plurality of subcarriers. The classical information comprises quantum key negotiation information. The first quantum device sends the modulated optical signal to the second quantum device over the optical fiber link. Quantum information and classical information are modulated on the same polarization of an optical signal, and the system capacity is high. The quantum information and the classical information are respectively modulated on subcarriers in different frequency bands in the optical signal, so that respective modulation precision requirements of the classical signal and the quantum signal can be met. And quantum information and classical information are transmitted simultaneously by multiplexing a set of devices, so that the hardware cost is saved.

The invention discloses a multi-mode underwater acoustic communication system and communication method based on a heterogeneous dual-core architecture, and belongs to the technical field of underwater acoustic communication. The multi-mode underwater acoustic communication system comprises a main control module, an acquisition module and a transmitting module; the main control module adopts a dual-core heterogeneous processor OMAPL138 formed by an ARM core processor and a DSP core processor; inter-core communication is carried out between the ARM core processor and the DSP core processor through a shared memory and interruption; the ARM core processor is responsible for protocol analysis, task scheduling and man-machine interaction, and the DSP core processor focuses on signal processing and real-time control and integrates four communication systems, a channel evaluation module and the like. The problems that application of a single communication mode is limited and underwater acoustic communication links in different complex sea areas are unstable are effectively solved, and the deep sea area underwater vehicle information collaboration and return and deep sea area observation and monitoring network system capacity are effectively improved and guaranteed.

The invention discloses an unmanned aerial vehicle assisted power communication user association and spectrum allocation method and device, and the method comprises the steps: taking maximization of the throughput of a system as an optimization target, and building a joint optimization problem of base station user association, sub-channel allocation and power allocation in the system; considering user requirements, base station load, intra-layer interference and inter-layer interference, and establishing corresponding constraints for user rate, base station capacity, power and signal interference intensity; and solving a joint optimization problem under corresponding constraints, specifically, solving a user association and sub-channel allocation optimization problem by using a matching algorithm, and then solving a power allocation problem by using a Lagrange duality method. According to the method, the user communication rate can be effectively increased, the system capacity of the heterogeneous network is improved, and the whole heterogeneous network is optimized.

The invention belongs to the technical field of electric power system analysis, and mainly relates to a new energy consumption-oriented high-capacity energy storage partition optimization configuration method, which comprises the following steps of: firstly, dividing a power grid model into a plurality of regions according to geographic and electrical characteristics of the selected power grid model, and determining regional energy storage requirements after determining partitions of the power grid model; further constructing a total cost optimization scheduling model of the maximum new energy consumption and the minimum energy storage system, determining constraint conditions of the target according to a load balance constraint, an energy storage system capacity constraint and a new energy processing limit, processing by using a mixed integer linear investment and operation cost planning method, and solving an optimal solution through iteration; more importantly, after the optimization scheduling model is solved preliminarily, the energy storage configuration function of each region is adjusted in real time according to time, system load and new energy consumption amount by updating the energy storage configuration step by step, and finally, the precision of energy storage configuration parameters is guaranteed.

The invention provides a communication method and device, which are applied to the fields of environmental Internet of Things and the like, and the method comprises the following steps: sending a first message; the first message is used for triggering a first random access opportunity, and the first message indicates a first identifier; receiving a first random access request message from the first terminal device at the first random access opportunity; the first terminal equipment is associated with the first identifier; sending a second message before responding to the first random access request message; the second message indicates a second identifier. Through the method, the message in one process can be located between two messages in the other process, for example, the second message in the second process is located between the first uplink message and the first response message in the first process, so that the network equipment can communicate with the terminal equipment in the process of communicating with the terminal equipment in one process. And communication with another terminal device can be carried out in another process, so that the resource utilization rate can be improved, and the system capacity can be improved.

The invention relates to the technical field of e-commerce, and discloses an e-commerce customer service processing system with intelligent quality inspection and high-concurrency simulation capabilities. According to the invention, millisecond index calculation and real-time alarm of full customer service dialogues are realized through a bypass monitoring technology, a traditional lagging mode of post sampling inspection is changed, and management response is converted from passive remedy to active intervention; a high-concurrency pressure simulation module reproduces a business scene in an e-commerce peak period by simulating a script of a real user behavior and a distributed cluster, and a real basis is provided for system capacity planning and stability guarantee; the integrated intelligent verbal skill evaluation module deeply analyzes the dialogue quality from multiple dimensions such as semantics, compliance and emotional change based on a natural language processing technology, and generates an evaluation report with guidance, so that the professional level of customer service is improved; and the service quality, the operation robustness and the management intelligence level of the e-commerce customer service system are improved.

Provided are a data transmission method, apparatus, device and system, in the data transmission method, a terminal device can repeatedly send a first data unit on an available transmission opportunity (TO) within a configuration authorization (CG) period, the first data unit being the last one or more data units in a plurality of data units continuously sent within the CG period, the CG cycle includes a plurality of available TOs contiguous in time domain. According to the method, the terminal equipment only repeatedly sends the last one or more data units in the CG period, so that the purposes of considering the data transmission reliability and not influencing the system capacity are achieved, and in addition, the terminal equipment repeatedly sends the last one or more data units, so that the data transmission reliability is improved. In this way, the network device does not schedule a hybrid automatic repeat request (HARQ) for the last one or more data units, and system signaling interaction can be reduced.

A communication method and apparatus, applied to the field of environmental Internet of Things. The method comprises: sending a first message, the first message being used for triggering a first random access occasion, and the first message indicating a first identifier; receiving a first random access request message from a first terminal device at the first random access occasion, the first terminal device being associated with the first identifier; and before responding to the first random access request message, sending a second message, the second message indicating a second identifier. By means of the method, a message in one process can be located between two messages in another process, for example, a second message in a second process is located between a first uplink message and a first response message in a first process, so that while a network device is communicating with one terminal device in one process, the network device can communicate with another terminal device in another process, thereby increasing the resource utilization rate and increasing the system capacity.

The invention provides a district-based distributed power consumption capability assessment method and system and a medium, and belongs to the technical field of power system capability assessment. The method comprises the steps that pre-processed associated data parameters are classified and stored, and a structured feature database is generated; constructing a transformer area load vector model according to the load power flow direction of the power distribution transformer areas of the power grid line, screening and classifying a plurality of power distribution transformer areas with similar characteristics of the line, and constructing a line load quantification model based on the structured characteristic database and the transformer area load vector model; obtaining a power distribution area consumption capability range according to the structured feature database and the area load vector model, and obtaining a line consumption capability range according to the structured feature database and the line load quantification model; and on the basis of the principle of minimizing the two, combining the power distribution area consumption capability range and the line consumption capability range to generate an actual evaluation result of the power grid consumption capability. According to the method, the district-based distributed power consumption capability evaluation precision can be effectively improved.

The invention relates to the field of data management, and discloses a seat reservation processing method, platform and system and a storage medium, which are used for solving the problem that the system capacity cannot meet the requirements of all users when a large number of users enter the platform at the same time, and the method comprises the following steps: a user logs in or registers the platform by using an account password, collects real-time data of a seat reservation platform, and stores the real-time data of the seat reservation platform; real-time capacity monitoring is carried out according to real-time data of a seat reservation platform, early warning processing is carried out according to a detection result, after a user enters a reservation page, seat information is browsed, the user selects a needed seat according to the seat information and submits the seat to the platform for processing, the platform carries out conflict detection and time period locking operation on the seat, and if reservation succeeds, the user does not need to check the seat. And the platform generates the reservation record, stores the information in the database and sends a reservation success notification to the user, so that the user experience is effectively improved, and the seat reservation failure rate is reduced.

The invention provides a novel hybrid carrier multiple access scheme. According to the scheme provided by the invention, the energy propagation concept of the hybrid carrier is combined with a frequency division multiple access model, and a specific operation method and a processing flow of the hybrid carrier processing and the multiple access processing of the power signal in the sending and receiving processes are provided; and the requirements of signal anti-interference capability, transmission efficiency and multi-user and multi-time-space under an ad hoc network of a power wireless private network are met, and the method is called as hybrid carrier non-orthogonal multiple access (HC-OFDMA). Due to the fact that the energy dispersion capacity is enhanced, a plurality of users can share the same spectrum resource at the same time through non-orthogonal distribution of a power domain, the spectrum utilization rate can be remarkably improved, power distribution can be dynamically adjusted, transmission is optimized according to channel conditions of the users, more users are supported to access at the same time, the system capacity is improved, and the system performance is improved. The method is especially suitable for high-density users and large-scale Internet of Things scenes.

Devices and systems for increasing the gain and / or offering multiple antenna frequencies while conserving space on the antenna are provided. According to various aspects of the technology, panels with antenna elements are stacked to create a MIMO antenna array with more antenna elements while conserving space. In some aspects, the antenna elements are the same size and produce the same frequency while their physical configuration increases the gain of the antenna. In alternative aspects, the antenna elements are different sizes and produces different frequencies such that the antenna offers a greater variety or bandwidth of frequencies while conserving physical space on the antenna (i.e., maximizing a total quantity of antenna elements associated with the antenna). Using an antenna system and device with an increased quantity of antenna elements increases one or more of the system capacity, data rates, reliability, gain, coverage range, and the like.

The invention discloses a user demand-driven distributed energy supply system capacity configuration method based on a large language model. The method comprises the following steps: collecting user demand information; performing semantic analysis and understanding on the acquired user demand information by utilizing a large language model, and outputting structured and quantitative user demand description; parameterizing the structured and quantized user demand description to obtain a mathematical model for capacity configuration optimization; and solving a mathematical model for capacity configuration optimization by adopting a numerical optimization algorithm, generating a plurality of optimization schemes, and performing performance evaluation and visual display to assist a user in selection. According to the method, the accuracy and the intelligent level of user demand understanding are improved through the large language model, automatic processing and personalized capacity configuration of unstructured demands are achieved, the capacity configuration efficiency and the user satisfaction degree of the distributed energy supply system are remarkably improved, and the system performance is effectively improved.

The invention provides a control method and device based on a network following proportion and a network construction proportion, equipment and a medium, and relates to the technical field of power systems, and the method comprises the steps: obtaining the system capacity and the device capacity of a power system; wherein the system capacity refers to the sum of rated capacities of various hub substations in the power system, and the device capacity refers to the installation capacity of equipment integrating a network following function and a network construction function in a preset range of the power system; determining a short-circuit ratio according to the system capacity and the device capacity; determining a network following proportion and a network construction proportion according to the short-circuit ratio; acquiring three-phase voltage, three-phase current, direct-current side voltage and direct-current side reference voltage of the power system; and performing pulse width control according to the three-phase voltage, the three-phase current, the direct current side voltage, the direct current side reference voltage, the network following proportion and the network construction proportion. According to the technical scheme, the pulse width of the power system is comprehensively controlled and adjusted based on the network following proportion and the network construction proportion by determining the network following proportion and the network construction proportion.

The invention relates to a multi-type energy storage system capacity configuration method suitable for peak regulation auxiliary service, and the method gives full play to the characteristics of high flexibility and wide application range of multi-type energy storage through the application of multi-type energy storage in multiple time scales. Factors such as economy, safety and peak regulation effect are considered to perform multi-target optimization analysis on the multi-type energy storage configuration, and the economic cost of the multi-type energy storage configuration is reduced while the peak regulation effect is ensured; and scheduling calculation is carried out through an actual application scene, so that the accuracy and credibility of multi-type energy storage capacity configuration are improved, and the method has important guiding significance and engineering application value for multi-type energy storage power capacity configuration for peak regulation.

The invention discloses a terahertz wave signal transmission method and system based on a superheterodyne structure in the technical field of millimeter wave and terahertz wireless communication, and the method comprises a processing method of a transmitted signal and a processing method of a received signal. The transmitting signal processing method comprises the following steps: converting a baseband signal into a plurality of sub-intermediate-frequency signals through a plurality of intermediate-frequency sub-modules in an intermediate-frequency module; synthesizing the plurality of sub-intermediate-frequency signals into a broadband intermediate-frequency signal by using a power combiner, and feeding the broadband intermediate-frequency signal into a radio frequency module; the radio frequency module converts the broadband intermediate frequency signal into a terahertz wave radio frequency signal; the received signal processing method comprises the following steps: the radio frequency module converts a received terahertz wave radio frequency signal into a broadband intermediate frequency signal; dividing the broadband intermediate-frequency signal into a plurality of sub-intermediate-frequency signals by using a power divider; and respectively restoring the sub-intermediate-frequency signals into baseband signals through a plurality of intermediate-frequency sub-modules in the intermediate-frequency module. By optimizing the frequency synthesis and distribution of the signals, the transmission rate and the system capacity of the terahertz wave signals are improved.

The invention discloses a wireless communication network optimization method and system based on multi-intelligent-reflecting-surface grouping, and belongs to the field of intelligent-reflecting-surface-assisted wireless communication, and the method comprises the steps: building a multi-IRS-assisted wireless communication network according to the coverage characteristics of the equivalent cascade link information of a plurality of IRSs; according to the statistical property of the optimal beam domain channel state information, intelligent pre-grouping is carried out on reflection units of a plurality of IRSs, and each group of units share the same reflection coefficient; analyzing array performance gains of different pilot frequency overhead under a single-user single-antenna cascade channel; a system capacity of a multi-IRS intelligent packet assisted wireless communication network under a Rice channel is evaluated. According to the method provided by the invention, the number of pilots for estimating the channels related to the IRS can be greatly reduced while the multi-user communication service quality is improved.

Provided are a communication method and a communication apparatus, which can be applied to a non-terrestrial network (NTN) or a terrestrial network (TN). The communication method comprises: a communication device receiving first indication information, wherein the first indication information is used for indicating index value information of an OCC sequence; and on the basis of OCC-related configuration information and the first indication information, determining an OCC sequence corresponding to each resource group in transmission resources. In this way, by means of introducing an OCC multiplexing technique, the system capacity efficiency of a network (an NTN or a TN) is improved, and interference between different users can be reduced. Moreover, for the case where time-frequency resources of paired UEs are not aligned, a solution is further provided, such that OCC sequences of overlapping resources between the paired UEs remain orthogonal.

A wireless communications system that uses adaptive arrays is disclosed in which the capacity is optimized. A method for optimizing the capacity of a wireless communications system that uses adaptive arrays is also disclosed. The wireless communication system may be a point to multi-point (P2MP) and / or a multi-point to multi-point (MP2MP) STAP system.

The invention discloses a capacity configuration optimization method for an energy storage system, relates to the field of energy storage planning, solves the problem of energy waste of the energy storage system, and comprises the following steps: collecting historical environmental data of a region where a power generation facility corresponding to the energy storage system is located and historical power consumption of a power grid corresponding to the energy storage system; analyzing the power generation performance of the power generation facility of the energy storage system and the power consumption performance of a power grid corresponding to the energy storage system to obtain a peak value operation time period, an average value operation time period and a valley value operation time period corresponding to the energy storage system; setting a system capacity configuration scheme of the energy storage system corresponding to the peak value operation time period and the valley value operation time period; analyzing the operation state of the energy storage system corresponding to the average operation time period, and setting a system capacity configuration scheme of the energy storage system in the average operation time period; the actual energy storage mode of the energy storage system is adjusted based on the system capacity configuration schemes corresponding to the peak value operation time period, the average value operation time period and the valley value operation time period, and stable operation of the energy storage system is guaranteed by improving the energy utilization rate.

The invention discloses a deep reinforcement learning method for combining unmanned aerial vehicle deployment and resource allocation, and the method comprises the steps: building a communication network model, and initializing a communication environment, the number of unmanned aerial vehicles and the number of users; determining an optimization target and a constraint condition according to the signal-to-noise ratio of the user and the system capacity; converting the optimization problem into a Markov decision process, and determining an intelligent agent, a state space, an action space and a reward function by using a deep reinforcement learning method; each agent continuously interacts with the environment through a D3QN algorithm to optimize and update the own network, so that the agent obtains an optimal resource allocation strategy; personalized federated deep reinforcement learning is utilized to maximize long-term network throughput, protect user privacy and adapt to a time-varying network state at the same time, and in a federated learning framework of PFDRL, a deep reinforcement learning algorithm is adopted, so that an unmanned aerial vehicle can decide resource allocation and position adjustment in real time based on local observation, and a global optimal solution is realized at the same time.

The invention relates to the field of spaceflight measurement and control, and discloses a large-scale constellation multiple access measurement and control spread spectrum signal de-spreading bit width quantization method. Signal samples are counted, a noise deterioration factor and a bit width quantification model are respectively established, the de-spreading bit width is accurately expanded, and the optimal balance of resources and performance is realized. The method solves the problem that the detection range of strong and weak signals is limited when a single receiver detects multi-satellite same-frequency signals at the same time, remarkably improves the system capacity, and has the characteristics of quantizability, large dynamic range and multi-constellation adaptation.

The invention discloses a capacity-expanding anti-interference measurement and control communication method, which comprises the following steps of: 1, generating M alternative spread spectrum sequences; step 2, the transmitting end performs parallel combined spread spectrum, including parallel transmission, spread spectrum superposition and carrier modulation; wherein during spectrum spreading, in I and Q, any one alternative spectrum spreading sequence in one path is selected as a synchronization sequence, and all the remaining alternative spectrum spreading sequences are subjected to combined spectrum spreading; step 3, blind interference signal separation at a receiving end: at the receiving end, firstly carrying out carrier demodulation on all interference signals and measurement and control signals received by the array antenna, and then carrying out blind interference signal separation on observation signals after carrier demodulation to obtain separated expansion anti-interference measurement and control signals; and finally, recovering the expanded anti-interference measurement and control signal to obtain recovered data. According to the invention, parallel combination spread spectrum and blind interference signal separation processing are organically combined, so that the anti-interference capability of the measurement and control system can be ensured while the system capacity is improved.

In the NB-IoT NTN deployment, the coverage area can be as large as hundreds of thousand square kilometers. In such huge geography area, the number of IoT devices that need to access the satellite will be massive. In another hand, the UL capability of NB-IoT is severely suppressed by large repetition number due to the limited link budget. To enlarge the system capacity, multiplexing of UEs by usage of orthogonal cover codes (OCC) for NPUSCH format 1 and NPRACH is proposed in 3GPP as a Release 19 IoT NTN work item. The Invention incudes various methods of overlaying the OCC code to the NPUSCH and NPRACH; various procedures on support OCC for NPRACH and NPUSCH such as random access and connection establishment; other related 3GPP specification impact.