31 results about "Priority list" patented technology

This invention discloses a method and system for constructing an AI-native operating system based on ecosystem collaboration, belonging to the field of operating system technology. The invention first acquires and decomposes target requirements to form a set of functional and non-functional requirements, constraints, and priority lists. Based on this, it generates an operating system architecture description including kernel configuration and subsystem division. Then, it generates and completes multi-dimensional checks on module code and configuration files, and compiles, links, and packages them through a toolchain to generate an operating system image. This invention employs a three-layer AI model to realize requirement reasoning, system construction, and test optimization, forming a complete automated closed loop from requirement input to runnable image output. Simultaneously, it establishes a unified ecosystem collaboration mechanism to support multi-vendor collaborative development. This invention effectively reduces errors and repetitive work caused by manual intervention, shortens the development cycle, improves system stability and adaptability, and promotes the collaborative evolution and improvement of the AI-native operating system ecosystem.

The application provides a touch event processing method, system, device and medium, wherein the method comprises the following steps: obtaining interface touch data in a target interface and an event priority list corresponding to the target interface; the interface touch data comprises a plurality of event elements; performing event priority analysis on the interface touch data according to the event priority list to obtain an event sorting queue, the event sorting queue comprising a plurality of target touch events sorted from high to low according to event priority; the target touch events comprising a plurality of event elements in the interface touch data; the number of event elements in each target touch event is less than or equal to the number of event elements in the interface touch data; and performing event response according to the event sorting queue. The method can effectively improve the processing accuracy of touch events, is conducive to reducing the difficulty of realizing complex interaction in the target interface, and can be widely applied in the technical field of digital content service.

Embodiments of the present application provide a cell switching method and related device, the cell switching method comprising: receiving a first message, the first message being used to indicate a measurement configuration, the measurement configuration comprising a measurement object and a first switching threshold; and sending a measurement report or performing cell switching based on a second switching threshold and a measurement result, wherein the second switching threshold is obtained by optimizing the first switching threshold based on channel indicator requirements of services in a service priority list by a first model, and the measurement result is obtained by performing channel quality measurement on the measurement object based on the measurement configuration. In the above technical solution, the terminal adjusts the first switching threshold based on the channel indicator requirements of the services in the service priority list, which can optimize the first switching threshold from the perspective of channel quality requirements during execution of multiple services, and ensure that the optimized switching threshold can adapt to diverse service requirements.

This invention discloses a method and system for optimizing intelligent consolidation in cross-border e-commerce. It relates to the field of container consolidation transportation technology. The method includes: Step 1: acquiring basic data on the cargo and container environment; Step 2: establishing an adaptive weight model based on the basic data on the cargo and container environment, determining the weight dimensions, and quantitatively scoring the cargo to generate a priority list; Step 3: generating an optimal stacking scheme based on the priority list, designing storage units based on the optimal stacking scheme, numbering the storage units, and binding cargo information; Step 4: calculating the container's center of gravity coordinates in real time based on the cargo information associated with the storage unit number; a preset center of gravity offset threshold is set, and when the offset exceeds the threshold, the stacking method of high-priority cargo is automatically adjusted and the storage units are optimized. This invention can significantly improve the intelligence, efficiency, and safety of cross-border e-commerce consolidation transportation.

This application provides a rapid migration method and system based on customized data packages, as well as a readable storage medium. The rapid migration method based on customized data packages includes: extracting metadata from oil and gas exploration data using a general data acquisition module, employing the system's native API and file parsing algorithms; based on the metadata and the target operating system, formulating a migration strategy and monitoring the migration process through a control module, and generating a task execution list; dynamically adjusting the execution plan of the task execution list through a scheduling module, and generating a task execution priority list; and according to the task execution priority list, encapsulating and transmitting the data to the target system through a migration module, and unpacking the data according to the mapping index file and the unpacking priority list. Through the technical solution of this application, seamless data synchronization across operating systems can be achieved through customized data packaging and index mapping strategies, ensuring that the migrated data is immediately available and improving the execution efficiency of seismic exploration projects in multi-platform collaborative scenarios.

The application relates to a kind of unmanned aerial vehicle edge network control method and system, it is related to network control technical field, including the following steps, the state data of each edge node in the edge network of unmanned aerial vehicle group is collected, the computing task obtained by unmanned aerial vehicle group is classified based on the state data, and task priority list is obtained;Based on the task priority list, the matching degree of unmanned aerial vehicle group and edge node is calculated, and a task allocation scheme is obtained;Based on historical task execution data, resource consumption and time delay prediction are carried out on the task allocation scheme, and resource consumption information and time delay prediction result are obtained;Based on the resource consumption information and time delay prediction result, the task allocation scheme is dynamically adjusted, and a task allocation instruction is obtained;The technical problem of the performance of the uneven distribution of computing resources between different unmanned aerial vehicle nodes is solved.

The present invention relates to the technical field of resource scheduling, and specifically to an office scheduling system based on behavior recognition. The system includes: a path analysis module, a behavior aggregation module, a scheduling screening module, a resource allocation module, and a preference scheduling module. In the present invention, by combining cross-regional image behavior recognition and a time-series reconstruction mechanism, the connection relationship of behavior trajectories is identified, group linkage behavior is recognized based on the intersection of behavior times and label consistency, and further, the resource overlap situation is judged according to the spatial number and function number. The scheduling priority is determined through the corresponding relationship between the role level and the behavior source, forming a task screening and status adjustment process. The intensity of the task execution intention is evaluated by triple determination of action tags, duty adaptation, and behavior coherence, and the resource locking is driven by the behavior intensity value. In the scheduling matching, the resource call frequency ranking and the employee usage time preference are introduced to construct a priority list, realizing the whole-process linkage from behavior perception to optimal resource allocation in the scheduling path.

The present application relates to the technical field of communication resource allocation, in particular to a tethered unmanned aerial vehicle communication resource allocation method, the method comprising: acquiring the perception data, historical communication load data and user priority list of the unmanned aerial vehicle at the current time, to constitute a multi-modal data set; using the multi-modal data set, predicting the communication demand of a target area in a future time period through a communication demand prediction model; based on the communication demand of the target area, allocating corresponding resource blocks and power to the users in the target area through a resource allocation model, and adjusting the state of the unmanned aerial vehicle to optimize the communication resource allocation.

The application discloses a night guiding method and system of door lock coordination, the method comprises the following steps: according to the user night event triggered by the sensing device, selecting a target door lock and sending a unicast preemption request message; according to the target door lock receiving the preemption request message, judging whether itself can be preempted; if not, selecting the next target door lock based on the global priority list and forwarding the preemption request message, forming a chain negotiation; according to the confirmation result of the first door lock which is judged to be preempted in the negotiation process, updating the reservation information of the public service facility, and synchronously updating the state indication of the preemption initiator and the preempted party; according to the terminal condition of successful preemption, traversal without result or reaching the progressive level threshold, feeding back the guiding result to the user by the related door lock, and adding the unsuccessful reservation request to the queuing sequence. By using the embodiment of the application, the centerless and low-delay door lock cooperative preemption and guiding can be realized, and the user waiting time is effectively shortened.

The application discloses a night guiding method and system of door lock coordination, the method comprises the following steps: according to the user night event triggered by the sensing device, selecting a target door lock and sending a unicast preemption request message; according to the target door lock receiving the preemption request message, judging whether itself can be preempted; if not, selecting the next target door lock based on the global priority list and forwarding the preemption request message, forming a chain negotiation; according to the confirmation result of the first door lock which is judged to be preempted in the negotiation process, updating the reservation information of the public service facility, and synchronously updating the state indication of the preemption initiator and the preempted party; according to the terminal condition of successful preemption, traversal without result or reaching the progressive level threshold, feeding back the guiding result to the user by the related door lock, and adding the unsuccessful reservation request to the queuing sequence. By using the embodiment of the application, the centerless and low-delay door lock cooperative preemption and guiding can be realized, and the user waiting time is effectively shortened.

A method for managing a production environment includes obtaining a notification for an alert event for the production environment, in response to the notification: making a determination that a resource limitation is exceeded by the alert event, based on the determination, performing a resource elasticity process based on a priority list to increase the resource limitation to a new resource limitation such that the alert event does not exceed the new resource limitation, wherein the resource limitation is based on available computing resources in the production environment, and resolving the alert event after the increase of the resource limitation.

This application relates to the field of vehicle communication technology and discloses a fast network search method based on GNSS-based vehicle-mounted high-priority lists. The method includes: acquiring GNSS positioning information collected by the terminal; determining the vehicle's current geographical location based on the GNSS positioning information; creating a new PLMN list and a network search frequency list; determining a region identifier based on the geographical location; querying target PLMN data and target network search frequencies from a preset database using a matching algorithm based on the region identifier, and filling them into the PLMN list and network search frequency list respectively; inserting the filled PLMN list and network search frequency list into the original network search sequence according to a preset priority sequence to generate a target network search sequence; and scanning the network search frequencies in the target network search sequence sequentially to perform network registration operations. This solution improves network search efficiency in cross-regional scenarios and solves the problem of long network search time caused by regional frequency differences.

The application relates to a dynamic scheduling method and device of a household energy system, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: based on real-time collection of operation condition data of a household power distribution system, predicting household load power prediction values and photovoltaic power generation power prediction values after a preset time length; based on the household load power prediction values, the photovoltaic power generation power prediction values and the operation condition data, establishing a multi-target dynamic optimization scheduling model; solving the multi-target dynamic optimization scheduling model to obtain an optimization scheduling strategy; obtaining real-time dynamic comprehensive priority scores of load devices, sorting the real-time dynamic comprehensive priority scores of different load devices to obtain a load device priority list; and generating real-time scheduling control instructions according to the optimization scheduling strategy and the load device priority list and delivering the real-time scheduling control instructions. The method can effectively improve the self-adjustment capability of the system.

A technique is provided that enables efficient inspection and maintenance by easily identifying the robots to be inspected in a preventive maintenance system that monitors and diagnoses multiple robots. The preventive maintenance system (10) includes: a priority calculation processing unit (21) that determines the priority of inspections for multiple robots (40); an inspection list notification unit (31) that displays a list of the determined inspection priorities, i.e., a priority list; and an inspection item notification unit (32) that displays the inspection items corresponding to the robots (40) displayed in the priority list.

The application discloses a CDN edge node cooperative optimization method and system based on a lightweight AI model, and relates to the technical field of content distribution networks. In view of the problems of response lag and low resource utilization caused by the traditional CDN static strategy, the scheme comprises the following steps: collecting specified data, aligning the time sequence, and then performing real-time analysis by a lightweight TCN model to output a pre-cache priority list and a routing target node score table; aggregating the global state information reported by each node, combining the analysis results, and generating a global balanced strategy by a MARL framework through node demand similar matching and resource negotiation; based on the global balanced strategy, the following actions are performed in parallel: intelligent pre-caching based on the pre-cache priority list, dynamic request routing realized in combination with the routing target node score table and the QUIC protocol, and containerized elastic resource allocation completed through Kubernetes according to quantitative indicators; collecting the execution effect data of the foregoing actions, and optimizing the MARL framework and the lightweight TCN model. The application is used in a high-concurrency dynamic traffic scene.

The present invention relates to a link adaptation method for a multi-mode communication system, comprising the following steps: defining a priority list for waveforms, and defining a signal quality evaluation criterion for each waveform; sequentially monitoring the real-time signal quality of each waveform according to the priority list for waveforms, if it is detected that the signal quality of any waveform exceeds a preset threshold indicating good signal quality, determining the waveform as an optimal waveform, and otherwise, recording the current signal quality of the waveform; if none of the waveforms meets a criterion for good signal quality, selecting a waveform having the smallest difference as the optimal waveform; and dynamically adjusting the priority list and the threshold criterion on the basis of the system and user feedback, so as to improve the accuracy and efficiency of future decision-making. The problems of insufficient decision criteria and a single condition in multi-mode waveform switching technology are solved, resources can be effectively managed and allocated, and waveforms having good signal quality can be preferentially processed, thereby improving the response speed and efficiency of the overall system, and maintaining the optimal performance.

The application discloses a synchronous machine minimum starting optimization method considering new energy short-circuit ratio constraints, comprising the following steps: identifying a new energy node set not satisfying MRSCR constraints according to collected system basic parameters and new energy parameters; for all non-started synchronous machine groups, calculating the total MRSCR improvement of the new energy node set if each non-started synchronous machine group is put into operation, sorting all non-started synchronous machine groups in descending order according to the total improvement, and generating a synchronous machine starting priority list; selecting the non-started synchronous machine group with the highest priority as a candidate starting machine group according to the synchronous machine starting priority list, and calculating the actual MRSCR value of each new energy node after the candidate starting machine group is put into operation; judging whether the actual MRSCR value of all new energy nodes after the candidate starting machine group is put into operation satisfies the MRSCR constraint; if yes, outputting the current starting mode as the minimum starting mode; if no, updating the new energy node set and iteratively calculating again.

The present disclosure describes a method (500) and a system (110) for the selective use of digital data from a vehicle's digital cameras to provide enhanced perception. A control module (106) is configured to process event data captured by an event camera module (102) to identify one or more initial areas of interest (ROIs) corresponding to one or more objects captured by the event camera module (102) and to create an initial priority list comprising at least one ROI from the one or more initial ROIs that satisfies one or more priority conditions.The control module is further configured to create a final priority list, comprising at least one digital ROI by filtering out ROIs from the initial priority list that meet at least one predefined filter condition, and to selectively use digital data associated with the digital ROIs over a predefined period of time to provide improved perception.

The invention discloses an intelligent fault diagnosis method of a fault tree based on dual drive of a genetic algorithm and a gain factor, and the method comprises the following steps: 1, building a bidirectional mapping fault tree model according to the phenomenon and reason of a fault event; 2, in the fault tree model, a dynamic sub-tree lightening and extinguishing mechanism is introduced, and the reason probability is recalculated in real time according to a fault field observation result; 3, constructing a shared bottom event gain factor model, optimizing adjustable parameters, and adjusting the cause probability calculated in the step 2 by using the optimized model; and step 4, taking the adjusted cause probability as an evaluation index of fault diagnosis, and outputting a maintenance priority list. According to the method, the interpretability of the fault tree is maintained, meanwhile, the diagnosis precision and efficiency under the multi-concurrent fault scene are remarkably improved, and technical support can be provided for equipment maintenance, fault prediction and task decision making.

This invention relates to the field of network security management technology, and in particular to a security defense decision-making system and method applied to computer networks. It performs full-coverage monitoring of all nodes within a target network area, constructs a unified security information dataset, and uses multi-dimensional weighted calculations based on traffic anomalies, access record anomalies, and vulnerability risk levels. Combined with node topology importance, it achieves dual quantitative classification of single-node and regional network risks. Using a digital twin model, it can quickly locate high-risk nodes and weak links, directly pinpointing the risk factors with the highest scores. It also senses attack trends and automatically generates primary and secondary attack paths. Simultaneously, it selects optimal interception points based on a priority list of intersection points and path interception filtering methods, outputs a defense deployment list, and establishes a closed-loop mechanism for interception execution, effect evaluation, and secondary defense. When ineffective, the strategy is automatically iterated, and multiple ineffective attempts trigger manual warnings, improving the efficiency and effectiveness of security protection in the network environment.

In a wireless communication system in which a wireless device receives communication services from a home network having a home network core, the wireless device and / or the home network core prioritizes connection to a visiting network over the home network in a situation in which connection to either the home network or the visiting network is available. The wireless device and / or the home network core may be configured with a priority list that prioritizes the visiting network over the home network based on one or more of the communication services requested by the wireless device, the type of communication device, and the type of network subscription of the user of the wireless device. The home network core may transmit a message to the wireless device via the visiting network confirming the communication services provided to the wireless device, thereby hiding the visiting network from the user.

This invention discloses a method and system for optimizing the energy efficiency of LoRa networks considering coding rate, belonging to the field of network optimization technology. The method mainly includes: constructing a LoRa performance model considering coding rate based on LoRa network parameters and the non-slotted ALOHA protocol; performing energy-aware sorting configuration initialization to obtain a priority list; performing asymptotic probability constraint allocation to obtain an initial spread factor and coding rate combination for each node; and performing neighborhood refinement search to obtain a refined spread factor and coding rate combination. Implementing the LoRa network energy efficiency optimization method and system considering coding rate provided by this invention can enhance the scalability of LoRa networks and further improve energy efficiency.

The application discloses a dynamic policy-based configuration baseline intelligent auditing system and method, relates to the technical field of configuration baseline intelligent auditing, and comprises the following steps: standardizing and preprocessing a configuration baseline to be examined; constructing a time sequence trajectory graph based on a configuration baseline change record, predicting a potential risk trigger probability by adopting a lightweight time sequence analysis model, and generating an auditing priority list by combining configuration entropy and risk weight; simulating a preset attack scene in an isolated sandbox, verifying the defense resilience of the configuration baseline, and completing risk grading by combining a CVSS score. Through the standardization preprocessing step, the application realizes format normalization and redundant cleaning of configuration baselines from different sources, effectively solves the multi-source configuration heterogeneity problem, reduces errors caused by manual intervention, lays a precise data foundation for subsequent auditing links, and significantly improves the processing efficiency of large-scale configuration baselines.

This invention relates to the field of video communication and real-time transmission technology, and discloses a method and system for parallel processing of video streams for multiple users. The method includes: extracting the complexity vectors of multiple video streams; clustering based on complexity to obtain a set of group categories; calculating the importance weights of the groups and determining their priorities based on bandwidth; adjusting the bitrate for high-priority groups to obtain an allocation scheme; monitoring transmission quality to determine resource waste; refining the high-priority list if waste exists; adjusting the lower limit of the bitrate for non-high-priority streams and reallocating bandwidth according to the refined list to form a transmission quality configuration; and calculating dynamic weights based on the configuration and sorting them to determine the final parallel transmission order. This invention achieves refined allocation of network bandwidth resources and overall transmission quality optimization in multi-concurrency scenarios by combining content-aware clustering, dynamic weight scheduling, and resource waste feedback rebalancing.

This application provides a method for constructing a knowledge base for a government service hotline based on large model technology, comprising: for the semantic vector representation, using an LSTM network to perform temporal modeling on a multi-turn dialogue sequence, and determining contextual dependencies by fusing vector associations between previous and subsequent turns; selecting high-priority fragment expression regions and merging them with the overall semantic vector through the integrated priority list, and using an attention mechanism to weightedly fuse the region vectors to determine the completeness of intent recognition; if the completeness of intent recognition is insufficient, generating a supplementary query template, and matching relevant templates from a preset follow-up question guidance library to obtain follow-up questions for missing information; for the updated structured demand representation, mapping it to a government service classification model, and determining the final service assignment path by comparing the similarity between the demand representation and the service conditions.

The embodiment of the application provides a kind of electronic component security authentication method and system, first, the running associated information set of electronic component to be authenticated is acquired, including equipment identification information, data acquisition rule information and system interaction relationship information, then the security attribute analysis is carried out to the running associated information set, obtain security attribute priority list, then based on the preset tax leakage security verification specification, the multidimensional compliance verification is executed to security attribute priority list, and compliance verification result set is generated, then the tax leakage risk correlation analysis is carried out to compliance verification result set, obtain security authentication evaluation data, finally, according to security authentication evaluation data, security authentication conclusion is generated, indicate whether electronic component meets system security operation requirement, from which the security and reliability of gas station tax leakage monitoring system can be effectively improved.

This application discloses a communication method and related equipment. The method is applied to a terminal and includes: first, determining a channel priority list, which includes description information of at least one available channel; second, if the terminal's current working channel is the same as the optimal channel in the channel priority list, then maintaining the current working channel; if the current working channel is different from the optimal channel, and the difference between the first power consumption of the terminal operating on the optimal channel and the second power consumption of the terminal operating on the current working channel is less than or equal to a first set power consumption threshold, then maintaining the current working channel; otherwise, generating a scheduling request and sending the scheduling request to a target base station, so that the target base station allocates resources to the terminal according to the target channel. The scheduling request carries a first identifier of the target base station and a second identifier of the target channel, and the target base station supports the target channel. Applying the communication method of this application can reduce power consumption during communication.