124 results about "Resource allocation systems" patented technology

The invention relates to the field of engineering management, and discloses a wharf steel structure construction progress dynamic management and control and resource allocation system, which comprises a real-time data perception and fusion module for collecting field data and an initial plan and generating a fusion data stream; the dynamic construction digital twinborn construction and evolution module is used for updating the digital twinborn and a dynamic empirical risk layer in real time based on the fusion data flow; the multi-agent self-adaptive decision engine is used for generating a self-adaptive construction scheme based on digital twinborn simulation deduction and feeding back a risk signal; and the man-machine cooperation and closed-loop execution module is used for visualizing the scheme for manual decision making and issuing an instruction to a site. According to the method, the physical field data sensed in real time is fused with the digital model, the dynamic construction digital twin capable of being synchronously updated with the physical construction field state is constructed, and the technical effect that digital information and the physical entity state are kept highly consistent is achieved.

The invention relates to a resource allocation system for 5G-A Internet of Vehicles network slices, which belongs to the technical field of intelligent traffic systems and comprises a network slice architecture module, a management and control plane module, a programmable module, a safety and fault-tolerant module, a performance monitoring and optimizing module, a mobility management module, a resource arbitration engine and a cross-domain collaborative interface. And the network slice architecture module is used for dividing Internet of Vehicles communication into a plurality of virtual slices based on a 5G-A network slice technology. According to the resource allocation system and method oriented to the 5G-A Internet of Vehicles network slices, accurate control over end-to-end performance indexes is achieved through the slice definition template library and a QoS dynamic mapping mechanism, the problem that key service performance is degraded due to one-step resource allocation of a traditional network is solved, distributed agent collaboration based on the MAPPO algorithm, and the resource allocation efficiency is improved. LSTM load prediction and a heuristic time delay equalization algorithm are combined, so that the system can respond to business demand changes at a millisecond level, and the resource utilization rate is improved.

The invention discloses a heterogeneous computing resource allocation system and method oriented to collaborative scheduling, the system comprises a resource perception and abstraction module, a collaborative scheduling and allocation module and a dynamic monitoring and feedback optimization module, in the resource perception and abstraction module, network resource state data is calculated and unified measurement conversion is carried out; calculating a comprehensive resource index; the cooperative scheduling and distribution module distributes power grid nodes for tasks according to comprehensive priority values of the tasks, and the dynamic monitoring and feedback optimization module dynamically updates distribution strategies by calculating scheduling effect evaluation indexes. According to the method, for a power grid collaborative scheduling scene, efficient task allocation is realized by establishing a heterogeneous computing resource allocation system integrating resource perception, multi-target optimization and real-time feedback, and efficient operation of a power grid under a complex load is ensured.

The invention discloses a sales resource distribution system based on a dynamic customer portrait, and relates to the technical field of artificial intelligence and big data application, and the system comprises an event modeling module, an abnormity monitoring module, a copy management module, a trial investment evaluation module, an unfreezing control module and an income backflow module. According to the method, a distribution offset map is generated by playing back customer behavior data in historical burst periods, and customer groups and key interaction contacts with easily distorted behaviors are identified as data monitoring references. According to the invention, through dynamic monitoring, label copy management, trial investment feedback evaluation, segmented unfreezing control and a negative pressure backflow mechanism, accurate identification and verification recovery of customer behavior abnormity are realized, the label stability is guaranteed, the sales resource distribution is dynamically optimized, and the response capability and configuration efficiency in an emergent environment are improved.

The invention relates to an intelligent logistics scheduling and resource distribution system based on multi-source data fusion, and relates to the technical field of logistics management technologies, and the system comprises the steps: collecting vehicle operation state data, road condition data, logistics order dynamic data and warehouse inventory change data in real time based on a multi-source heterogeneous interaction platform; constructing a multi-modal traffic logistics time series data set; based on a maximum priority scheduling algorithm, giving priority weights to the logistics orders in combination with logistics order timeliness demands and cargo features; based on the logistics order priority weight, path optimization is carried out by using a space-time hierarchical planning algorithm, and an initial transportation path set is constructed; real-time monitoring of the transportation process is achieved based on the digital twinborn technology, the path condition is sensed dynamically, the optimal transportation path is obtained through continuous adjustment, and an intelligent logistics scheduling and resource allocation scheme based on multi-source data fusion is generated. The method has the advantages that the resource allocation efficiency is improved and the transportation cost is reduced by optimizing the priority path and continuously adjusting the transportation path.

The invention relates to the technical field of communication networks, in particular to a resource allocation system and method in a satellite-ground fusion network, and the system comprises a satellite-ground topology and channel evolution predictor which is used for obtaining satellite ephemeris, user GNSS positioning and moving vectors, ground base station topology and a real-time CQI / RSRP measurement report; generating future link state information; the business QoE impact and switching cost modeling device is used for calculating transient interruption time of a switching action; generating switching cost information; the continuity risk quantification engine is used for generating continuity risk information containing the link maintaining risk probability, the instantaneous impact collapse probability and the link switching risk probability; the risk evasion type resource decision-making device is used for calculating maintenance link comprehensive cost and switching link comprehensive cost; calculating a dynamic switching damping threshold value; generating risk avoidance decision information; according to the invention, the high-frequency ping-pong switching near the edge state point is effectively inhibited, and the signaling overhead caused by invalid switching is reduced.

Embodiments of the present application relate to the technical field of computer storage, and provide a resource allocation method and apparatus, an electronic device, and a storage medium. The method comprises: in response to a memory acquisition request sent by a target host, a memory management unit in a resource allocation system acquiring demanded memory capacity and a memory starting address carried by the memory acquisition request; on the basis of a memory allocation unit in the resource allocation system, selecting from among at least two memory modules a target memory module matching the demanded memory capacity; and on the basis of a memory address router in the memory allocation unit and the memory starting address, performing address translation on the target memory module, and allocating to the target host the target memory module having undergone address translation, thereby achieving dynamic resource allocation of the target host. In this way, the interaction between a memory management unit and a memory allocation unit ensures rapid allocation of idle memory modules in a system, thereby improving the utilization rate of memory resources, and reducing costs of usage of the memory resources.

The invention discloses a server slot resource allocation system and method, a server, equipment and a medium, and relates to the technical field of servers, the system comprises at least one physical slot of the server, a register component and a firmware component, the register component comprises a first register and a second register, the first register is used for storing a global identifier of a physical slot position, determining a resource allocation mode of the physical slot position, configuring a second register at each physical slot position to store a resource allocation parameter of the physical slot position, and reading the first register and the second register by utilizing a firmware component after the server is powered on, according to the resource allocation mode and the resource allocation parameters, resources are allocated to at least one physical slot, on-demand allocation and safe management and control of the resources are achieved, the method is not limited by the slots, the technical problems of resource waste and slot limitation caused by static allocation in related technologies are solved, and the resource allocation efficiency is improved. The technical effects of dynamically allocating resources, remarkably improving the resource utilization rate and deployment flexibility and the like are achieved.

The invention relates to the technical field of network communication, in particular to a 5G-A network slice dynamic adjustment and resource allocation system oriented to low-altitude economy. The system comprises a mobility management feature integration module, a network slice service level protocol evaluation module, a mobility management demand prediction benchmark construction module, a multi-dimensional trend prediction module, a joint optimization decision generation module and a strategy verification and execution module, and is used for acquiring a mobility management feature data set of a wireless network; performing network slice service level protocol evaluation on the wireless network to obtain a network slice state evaluation result; constructing a mobility management demand prediction benchmark; performing multi-dimensional trend analysis on the network slice state evaluation result to obtain a prediction result; performing joint optimization decision on the standard network slice configuration strategy to obtain a network slice adjustment strategy; and executing the verified slice adjustment strategy to realize dynamic adjustment and resource allocation of the network slice. According to the invention, the efficiency of network slice dynamic adjustment and resource allocation can be improved.

The invention relates to the technical field of base station computing power distribution, and particularly provides a 5G base station computing power dynamic prediction and resource distribution system based on digital twinning, and the system comprises a platform computing power total demand prediction module which is used for generating a platform computing power prediction total demand according to a historical operation data set; the user service computing power total demand prediction module is used for generating a user service computing power prediction total demand according to the historical user computing power total demand set; the allocation scheme generation module is used for generating a computing power allocation scheme according to the base station total computing power information, the platform computing power prediction total demand and the user service computing power prediction total demand; the computing power distribution module is used for carrying out computing power distribution on tasks and user services of the digital twin platform according to the computing power distribution scheme; the system can generate a computing power distribution scheme for balancing the computing power requirements of the digital twin platform and the user service by comprehensively considering the total computing power limitation and the predicted requirements of the digital twin platform and the user service on the computing power.

Systems, apparatus and methods are described for dynamic demodulation signal resource allocation. PDSCH / PUSCH DMRS enhancement is provided. A dynamic indication of reference signal functionality may be provided in a slot for an additional DM-RS. A configured CSI-RS / SRS may be dynamically indicated to use as an additional DM-RS in a slot. Frequency shift / hopping of DM-RS as a function of OFDM symbol and / or the order of OFDM symbol containing DM-RS may increase frequency density within a slot. DM-RS antenna port aggregation may increase DM-RS frequency density. One or more DM-RS antenna ports may be used to demodulate the same layer. PDCCH DMRS enhancement is provided. Frequency shift / hopping of PDCCH DMRS may be provided as a function of a REG index within an REG bundle, OFDM symbol index, etc. Use of multiple types of REG (e.g., low and high DM-RS) and REG type may be determined based on subcarrier spacing, operating frequency band, etc.

The invention relates to a hierarchical diagnosis and treatment resource allocation system based on an AI priority pre-auditing mechanism, and belongs to the technical field of medical resource allocation, and the system comprises a user input module which is used for receiving initial information of a patient based on an AI applet, and the initial information at least comprises a symptom description, a medical history record, examination data and a diagnosis and treatment stage; the AI intelligent pre-inquiry module is used for performing multiple rounds of questions and answers on the patient according to the initial information to extract an illness state index, inputting the illness state index into a preset risk layering model, and determining an illness state severity / urgency index of the patient; the resource distribution module comprises a special number source pool reserved for experts, and the resource distribution module is used for opening expert numbers for the patients whose illness condition severity / emergency index is greater than an illness condition threshold value; and the referral guidance module is used for recommending a replacement doctor seeing scheme for the patient who does not accord with the open expert number. According to the invention, the technical problem of insufficient fairness and efficiency of an illness state emergency degree registration distribution mechanism caused by structural mismatching of expert resources is solved.

Systems and methods for detecting cardiac events in a patient are described herein. An embodiment of a medical system includes a detection circuit configured to detect cardiac events of the patient at different detection settings using physiologic information of the patient and a control circuit to determine a priority for each detected cardiac event based on the detection setting used to detect the respective cardiac event and to prioritize system resources for the detected cardiac event according to the determined priorities, wherein to prioritize system resources comprises to allocate memory space for the detected cardiac events or to prioritize data transmission of the detected cardiac events to an external system based on the determined priority for each respective cardiac event.

The invention discloses an AI-based deep pulse score remote diagnosis and medical resource allocation system, and relates to the technical field of intelligent medical data security, and the system comprises a data acquisition module which is used for acquiring a deep pulse score diagnosis result of a patient, determining a basic security state of encrypted health data when the encrypted health data is stored in a cloud end, determining dynamic authorization data, and sending the dynamic authorization data to a server; the authorization request processing module is used for acquiring an inter-mechanism sharing request according to the dynamic authorization data, deploying a lightweight smart contract in a block chain network, processing real-time transaction verification logic and generating an authorization confirmation record; according to the AI-based deep pulse score remote diagnosis and medical resource allocation system, a set of intelligent contract-based deep pulse score hosting transaction system is designed on the basis of guaranteeing cloud health data security storage and personalized access authority management, and the trust and efficiency problems of data authorization and sharing among different institutions are effectively solved.

The invention relates to a point cloud multi-scale feature segmentation method and device based on an attention mechanism, equipment and a medium. The method comprises the following steps: constructing a multi-scale feature group by extracting geometric and semantic features of point cloud data, and calculating local geometric complexity and semantic importance based on a real-time strategy to generate a dynamic weight coefficient; the time sequence activation sequence of the multi-scale branches is controlled according to the weight priority, and fine segmentation of the key area is achieved; and finally, strategy parameters are optimized through a closed-loop feedback mechanism, and a self-adaptive scene evolution resource allocation system is formed. According to the method, the problems that a static attention mechanism cannot adapt to scene changes and multi-scale computing resource allocation is unbalanced in the prior art are solved through a dynamic allocation strategy, the segmentation precision and the computing efficiency in a complex dynamic scene are remarkably improved, and reliable technical support is provided for real-time three-dimensional perception scenes such as automatic driving.

The invention relates to the technical field of human resource management methods, and discloses a building enterprise project group human resource configuration system based on multi-objective optimization, which comprises a model construction module used for constructing a multi-objective optimization model including maximization of project group overall man-post matching degree, optimization of team personnel age structure and minimization of human resource cost; the information acquisition module is used for acquiring employee information and post information; the matching degree quantification module is used for quantifying the post matching degree based on the post competency model and the personnel portrait, and evaluating the age structure rationality of the team personnel by using the personnel marginal contribution rate curve; and the scheme generation module is used for solving the multi-objective optimization model by adopting an improved NSGA-II algorithm to obtain a human resource allocation scheme and outputting the human resource allocation scheme. The invention aims to provide a multi-objective optimization system which can consider the man-post matching degree, the team age structure and the human resource cost at the same time, so as to improve the scientificity and effectiveness of human resource configuration of a building enterprise.

The invention discloses a satellite communication resource allocation system and method based on artificial intelligence, and relates to the technical field of data analysis, and the method comprises the steps: carrying out the statistics of a scheduling interval, recognizing an abnormal behavior, and building an abnormal scheduling label set based on a satellite communication resource scheduling process; satellite channel quality, service requirements and load states are collected and quantified, and satellite real-time state characteristics are constructed; fusing state features, dynamically adjusting a scheduling period through an attention mechanism, and realizing a period compression and amplification strategy; a resource optimization model is constructed, a resource weight is minimized under a constraint condition, a scheduling trigger mechanism under a minimum period is supported, the key technical problems of poor rigidity and adaptability and response lagging of existing period setting are solved, the flexibility and timeliness of resource scheduling are improved, and energy efficiency optimization of communication resource configuration is realized.

A resource allocation system may comprise a prediction engine configured to generate a prediction record in a database and a history module configured to store a service record for a service. The resource allocation system may comprise a comparison engine configured to compare the prediction against the service records. The resource allocation system may comprise a service improvement module configured to: use the prediction record and generate a recommendation for a settings change to the resource allocation system. The resource allocation system configured to implement a change to the service to improve performance of services based on the recommendation.

System device for real-time data orchestration, comprehensive at least one processing unit, a data acquisition unit for recording data streams from a plurality of technically different data sources, an orchestration unit, and a computing resource allocation unit, wherein the system device is designed to capture and process data streams system-side in real time, characterized by that the computing resource allocation unit controls a predictive allocation of computing resources on a hardware or firmware level, depending on detected data load and processing states of the data streams.

The invention discloses a network resource allocation method and a network resource allocation system. The network resource allocation method comprises the following steps: acquiring real-time network state information between a digital twin module and any physical entity; acquiring historical network performance information between the digital twin module and the physical entity; utilizing the prediction model to obtain predicted network state information according to the real-time network state information and the historical network performance information; obtaining an optimal access mode according to the predicted network state information and the real-time network state information; obtaining the required extra bandwidth according to the predicted network state information; and if the network resources between the digital twin module and the physical entity need to be adjusted, adjusting the access mode and the network bandwidth between the digital twin module and the physical entity according to the optimal access mode and the required additional bandwidth before a preset time point. The network bandwidth and the access mode are prevented from being passively adjusted when the network state is poor, and the network use experience of a user can be improved.

This invention relates to the field of maintenance management decision-making technology and discloses an intelligent pavement condition assessment and resource allocation system integrated into a mobile platform. The system includes sequentially connected modules for mobile data acquisition, data preprocessing, pavement condition assessment, resource optimization allocation, and decision support and feedback. The mobile data acquisition module collects multi-source data through a sensor array and dynamic sampling strategy; the preprocessing module generates a high-quality dataset through cleaning, spatiotemporal calibration, and standardization; the assessment module calculates the Pavement Health Index (PHI) based on a three-level model to accurately classify pavement condition levels; the resource optimization allocation module aims to maximize overall maintenance benefits by solving for the optimal resource allocation using a multi-constraint linear programming model; and the decision support and feedback module provides visualized decision display and corrects model parameters based on post-maintenance re-inspection data. The system improves the accuracy of pavement assessment and the scientific nature of resource allocation, adapting to the needs of large-scale road network maintenance management.

The invention relates to the technical field of electronic information, and particularly discloses a medical resource allocation system based on the Internet. By setting the user registration module, the intelligent hospital guide appointment module, the family member guard module, the intelligent question and answer module and the permission granting module, a user can fill basic information through the user registration module, and when the user needs to see a doctor, symptom description is performed through the intelligent hospital guide appointment module; according to the method and the system, a user can select a hospital with rapid reception or good diagnosis and treatment service according to the treatment condition, so that the patient can be helped to rapidly and effectively obtain the medical service, limited medical resources can be efficiently utilized, and in addition, the system and the method can be widely applied to the field of medical treatment. And the users with the family relationship can mutually know the doctor seeing dynamic state, so that the users can care family members in time and know the doctor seeing condition of the family members.

A mobile-network resource allocation system 110 comprising a mobile network having location-specific resource capacities 120 each associated with an antenna and each comprising network slices including one restricted slice 118 that is not accessible to all user devices accessing the mobile network. An allocation computing device 126 receives a request identifying an antenna and which is for a user device to access the restricted slice of the location-specific resource capacity associated with the antenna and allocates a portion of the restricted slice 118 to the user device. The allocation computing device 126 determines an unallocated portion of the restricted slice 118 based on its total resource capacity and an allocated portion of the restricted slice 118, receives a further request 140 for a further user device 112 to access the restricted slice 118 which exceeds the unallocated portion, denies the further request 140, and places the further request into a queue 134 to access the restricted slice 118.

The invention belongs to the technical field of ecological system management, and particularly relates to a multi-system collaborative ecological niche segmentation system which comprises an environment sensing system, a data analysis and decision making system, a resource distribution system, a biological regulation and control system and a feedback regulation system. The environment sensing system is used for monitoring ecological environment parameters in real time; the data analysis and decision-making system receives and analyzes data of the environment sensing system and makes an ecological niche segmentation decision; and the resource allocation system allocates the ecological resources according to the decision. The system is reasonable in design, achieves the precise management of organisms and resources in an ecological system through the integration of the environment perception system, the data analysis and decision-making system, the resource distribution system, the biological regulation and control system and the feedback regulation system, promotes different species to reasonably occupy ecological niche, improves the resource utilization efficiency, maintains the ecological balance, and improves the economic benefit. And an innovative solution is provided for ecological protection and sustainable development.

The invention discloses a non-cellular wireless access network multi-hop relay resource allocation system and method for offshore long-distance coverage. The system comprises a plurality of wireless relays deployed on the sea surface, an edge distributed unit (EDU), an access point (AP) equipped with a root antenna and a central processing unit (CPU), the AP connected with the EDU provides services for each single-antenna user on the opposite bank through a hop network, wherein each hop network comprises a wireless relay; the system comprises node clusters including an AP cluster, a relay cluster and a user cluster. Considering that each wireless relay is equipped with a root transmitting antenna and a single receiving antenna, each transmission is operated in a half-duplex mode. Reasonable deployment of the relay on the sea surface can be realized, and reachability and rate maximization of the system are realized.

The application belongs to the field of computer system resource allocation based on specific calculation model, and discloses a display resource allocation system based on fuzzy logic, which comprises: a system obtains an acceleration vector of user interaction, and performs authenticity discrimination based on the direction consistency of the acceleration vector to generate a weighted interaction acceleration; a fuzzy logic reasoning engine maps the weighted acceleration to a resource allocation priority, and the running period of the engine is dynamically adjusted according to the system core temperature to compensate for the calculation delay; finally, resource allocation is performed according to the priority, the application changes the resource scheduling basis from the application state to the physical intention of the user verified by authenticity, realizes the deep synchronization of system response and user attention, avoids the delay and lag of key interaction, and makes the human-computer interaction experience reach the qualitative change of smoothness and harmony.

The invention belongs to the field of computer system resource allocation based on a specific calculation model, and discloses a display resource allocation system based on fuzzy logic, which comprises the following steps that: the system acquires an acceleration vector of user interaction, and performs authenticity discrimination based on direction consistency of the acceleration vector to generate weighted interaction acceleration; the fuzzy logic reasoning engine maps the weighted acceleration into a resource allocation priority, and meanwhile, the operation cycle of the engine is dynamically adjusted by the core temperature of the system so as to compensate calculation delay; according to the method, resource scheduling is changed from an application state to a user physical intention subjected to authenticity verification, deep synchronization of system response and user attention is realized, delay and lagging of key interaction are avoided, and smooth and harmonious qualitative change of man-machine interaction experience is achieved.

The invention discloses a task unloading and resource allocation method based on average field deep reinforcement learning, and belongs to the technical field of large-scale smart grid equipment, and the method comprises the steps: building a task scene of a cloud-side cooperative system, constructing a task unloading and resource allocation model, considering the transmission and execution of a task, and calculating the time delay of completing the task and the energy consumption of completing the task; based on the time delay and the energy consumption of task completion, establishing an optimization target for minimizing the energy consumption value of the intensive task unloading and resource allocation system; based on the optimization target, establishing a cloud edge collaborative intensive task unloading optimization problem model based on average field deep reinforcement learning; and on the basis of the optimization problem model, an MFTDDPG algorithm is adopted for the task unloading problem, and task unloading and resource allocation are completed.

The embodiment of the invention provides a resource allocation system and method, electronic equipment and a storage medium, and relates to the technical field of computers. The system comprises a publishing module, a data acquisition module, a data processing module and a resource allocation module. The publishing module is used for acquiring attribute information of to-be-allocated resources and publishing the attribute information to a plurality of resource demanders; the data acquisition module is used for acquiring first information and second information of a plurality of demand sides; the data processing module is used for determining a first score of the demand side according to the first information and determining a second score according to the second information; the resource allocation module is used for acquiring current popularity information of the to-be-allocated resources, and fusing the first scores and the second scores of the plurality of demand sides to obtain a comprehensive score of each demand side; and determining a target demand side according to the comprehensive score, and allocating the to-be-allocated resource to the target demand side. The method and the device can be used in a resource bidding allocation process, and are used for solving the problems of stiffness and low efficiency of an existing resource allocation mode.

The application relates to the technical field of communication networks, in particular to a resource allocation system and method in a satellite-ground integrated network, which comprises a satellite-ground topology and channel evolution predictor, acquires satellite ephemeris, user GNSS positioning and movement vectors, ground base station topology and real-time CQI / RSRP measurement reports, generates future link state information, a service QoE impact and switching cost modeler, calculates transient interruption time of a switching action, generates switching cost information, a continuity risk quantization engine, generates continuity risk information containing the holding link risk probability, the instantaneous impact collapse probability and the switching link risk probability, a risk-avoiding resource decision maker, calculates holding link comprehensive cost and switching link comprehensive cost, calculates a dynamic switching damping threshold, and generates risk-avoiding decision information; the application effectively suppresses high-frequency ping-pong switching near edge state points and reduces signaling overhead caused by invalid switching.