93 results about "Resource map" patented technology

The invention discloses a germplasm library task scheduling optimization method based on a rule engine and a neural network. The germplasm library task scheduling optimization method comprises the following steps: S1, collecting an original data set related to task scheduling in a germplasm library; s2, preprocessing the original data set; s3, constructing a task resource map; s4, constructing a scheduling rule base, and analyzing the scheduling rule based on a rule engine; s5, based on a Grapher model of rule perception, carrying out modeling on a global structure relationship between the task and the resource, and outputting a scheduling prediction scheme; and S6, optimizing and adjusting the scheduling prediction scheme, generating an optimized scheduling scheme, and executing the task scheduling plan according to the optimized scheduling scheme. According to the method, the rule engine and the graph neural network are fused, intelligent optimization of germplasm library task scheduling is achieved, and the method has the advantages of being high in adaptability, controllable in constraint and high in efficiency.

The invention discloses a medical personnel scheduling table management method and device, a medium and a product, and relates to the field of data processing. The method comprises the following steps: acquiring multi-dimensional portrait data and department resource map data of medical personnel to be scheduled in a department; based on the multi-dimensional portrait data and preset scheduling rules and shift demands, a basic scheduling table of a preset period is generated, and the basic scheduling table covers the conventional workload of a set proportion of the medical personnel; initializing a general scheduling table according to the basic scheduling table; based on the real-time medical demand data, the department resource map data and the current state of the general scheduling table, dynamic adjustment information of the general scheduling table is generated, and the dynamic adjustment information comprises a newly added scheduling instruction or an original shift change instruction; and updating the general scheduling table in real time according to the dynamic adjustment information. According to the invention, the rapid response and dynamic adjustment capability to emergencies and real-time medical requirements can be improved, and the problem that the medical staff scheduling table management flexibility and rationality are insufficient is solved.

The invention relates to the technical field of distributed computing and computing power scheduling, in particular to a computing power resource fusion method based on a distributed flow pipeline, which comprises the following steps of: disassembling a user computing power request into a flow pipeline unit for packaging computing logic, an input / output interface and a resource demand label; meanwhile, computing power types, real-time load rates, memory occupancy rates, network round-trip delays, geographic positioning and energy consumption data of cloud edge end nodes are collected, a hierarchical topology network framework is constructed based on the collected data, node computing power available values are calculated, an inter-node transmission cost matrix is generated, a fault probability prediction model is constructed, and a fault probability prediction model is constructed. And finally, analyzing a data dependency relationship of the pipeline unit through a four-dimensional joint decision engine, executing dynamic mapping, and preferentially mapping the high-computing-power demand unit to a GPU cluster node, so as to realize non-interruption reconstruction during pipeline topology operation. And the global computing power resource utilization rate, the task operation efficiency and the service stability are improved.

The invention relates to the technical field of building engineering, and provides a building construction progress digital monitoring method and system. The method comprises the following steps: collecting three-dimensional point location data of a construction area, and comparing the three-dimensional point location data with a BIM model to extract a progress deviation; associating the construction log to a BIM component node and setting a first evaluation index; associating the material records to BIM component nodes, and setting second evaluation indexes; drawing up a resource map of construction process logic in combination with the deviation and the two indexes; and based on the atlas, according to a weight attenuation coefficient, multi-scale assessment of cumulative influence is carried out by taking efficiency as a feature, and resource compensation reminding is carried out in combination with dynamic threshold adjustment. The technical problem that progress deviation is difficult to accurately recognize due to data updating lagging and construction process logic disjunction in traditional building construction progress monitoring is solved, real-time accurate analysis of the construction progress is achieved through intelligent comparison of multi-source data fusion and the BIM model, resource allocation is dynamically optimized in combination with multi-dimensional evaluation indexes, and the construction progress monitoring efficiency is improved. And the construction management efficiency is improved.

The invention discloses an intelligent fusion processing method and system for forest and grass wet resource pattern spots and annual land change survey data, and belongs to the field of space-time big data in the natural resource industry, and the method comprises the steps: completing the pattern layer fusion based on the annual land change survey data in combination with forest and grass wet pattern spot survey results; superposing county and rural boundaries to form an administrative fusion layer; performing subcompartment division based on the remote sensing image; merging broken classes according to a principle of adjacent positions and similar types; eliminating a pattern spot sharp angle; land classes are refined, and attribute information is perfected; the public welfare forest range and the protection level are optimized; automatically checking and summarizing to form a result layer; and finally performing statistics to generate various thematic reports. According to the method, technologies such as database storage, spatial index construction and a fusion algorithm are adopted, the data processing efficiency is improved by more than 50%, and the sharp angle processing time is shortened; and the labor cost and the time investment are obviously reduced.

The invention relates to the technical field of digital twinning and intelligent text travel, and provides a text travel comprehensive service method and system based on digital twinning. According to the method, historical tourist data are collected to construct tourist type identifiers, multi-source culture resource data are integrated to construct a culture resource map, and then a cognitive load evaluation model is established; screening an initial culture entity set based on the tourist interest association degree, generating alternative narrative paths through path exploration, and performing comprehensive evaluation in combination with the cognitive load score and the interest association degree to select a target narrative path; and finally, according to the target path, synthesizing an integrated navigation content including navigation guidance, culture explanation and multimedia materials. According to the method, digital representation and personalized path planning of cultural resources are realized through a digital twinning technology, and the accuracy of text travel service, the quality of experience of tourists and the cultural transmission efficiency are effectively improved.

The invention provides a method for quickly converting a resource image into print engine data, which comprises the following steps of: acquiring the width, the height and the number of spray heads of the resource image, and generating blank two-bit depth print engine data according to the number of spray holes of a single spray head; splitting the resource image into a plurality of sub-images according to the number of nozzles; data area addresses, widths and heights of the plurality of sub-images and mapping coordinates of the print engine data are respectively transmitted to create a mapping task; the mapping task performs first bit operation on the plurality of sub-images in a column mode to obtain a first operation result, and the first bit operation is detection; performing second bit operation on the print engine data by using the first operation result, wherein the second bit operation is writing according to lines; and completely pasting the plurality of sub-images on the print engine data through circulation. According to the method for rapidly converting the resource image into the print engine data, the image conversion efficiency can be improved, and the rapid printing requirement is met.

The invention relates to an infant teaching resource intelligent searching and recommending system based on an AI large model. The system comprises a resource acquisition module, a label indexing module, an A I semantic understanding module, a resource screening and adapting module, a recommendation sorting module and a compliance control module. Teachers input teaching requirements through natural languages, voices, teaching plans or pictures, and the system performs semantic analysis and keyword extension based on a large language model and completes multi-modal content retrieval in combination with a resource map. The system introduces a complexity analysis and right age adaptation mechanism, intelligently simplifies and reconstructs contents, and generates a personalized recommendation list based on teacher portraits and a collaborative filtering algorithm. And the resource use process is constrained by the compliance control module to ensure that the content copyright is legal. The system can significantly improve the lesson preparation efficiency of kindergarten teachers and the teaching resource adaptation degree, and is suitable for a digital teaching platform and an intelligent education system.

The invention relates to a shared spectrum management method and system based on virtual carrier sensing. The method comprises the following steps: S1, constructing a preliminary spectrum resource map based on audiometry results; s2, virtually slicing a physical channel into a plurality of virtual channels according to the initial spectrum resource map, the system service flow classification, spectrum resources, interference and flow conditions, mapping service types to the corresponding virtual channels, and configuring an independent VCS / NAV parameter space for each channel to obtain a virtual channel division table and VCS / NAV parameters distributed by the virtual channel division table; s3, judging that the target virtual channel is physically idle and an NAV timer is zero according to a service requirement and VCS / NAV parameters of the target virtual channel, and constructing and broadcasting a control frame containing an NAV field; and S4, according to all received NAV control frames, updating the local NAV state of the corresponding channel to be busy, and obtaining a current NAV busy state table of each local virtual channel. According to the invention, efficient shared spectrum management which is oriented to multiple services, supports heterogeneous access and is intelligent and collaborative is realized.

The invention discloses an intelligent satellite communication terminal beam scheduling method based on space-time path, which comprises the following steps: constructing a space-time extension resource map for mapping a connection state in a future time window based on a terminal track prediction sequence and a whole network gateway station resource capacity model; solving a global space-time path meeting service constraints in the graph, and generating resource reservation contract data containing a specified time slice, a target beam and a reserved share; and issuing the contract to a second-level network manager, executing a local schedule based on contract agreement by the second-level network manager, and triggering re-planning only when the deviation between the actual state and the execution of the contract exceeds a threshold value. According to the method, greedy beam selection is converted into full-time-domain path planning, and the decision result is packaged into a rigidly executed resource contract, so that the problems of decision short view and difficulty in cross-gateway coordination in the prior art are solved, and resource certainty guarantee and scheduling robustness of cross-domain switching of the mobile terminal are realized.

The invention relates to the technical field of electronic testing, and discloses a USB module multi-station synchronous testing and data association method and system, and the method comprises the steps: constructing a global schedulable resource map of a testing station, so as to create a resource load balancing table and a global testing database of the testing station; configuring a synchronous test controller of the test station by using the test task flow generated by the test station and the global schedulable resource atlas; reading the unique identity label of the USB module so as to establish an association mapping network of the USB module in the global test database; and executing multi-station synchronous testing and data association processing of the USB module based on the global schedulable resource atlas, the resource load balancing table, the synchronous testing controller, the collaborative optimization strategy set and the association mapping network. According to the invention, accurate synchronous control of multi-station test and automatic correlation analysis of test data can be realized.

The invention belongs to the field of robot research and development, and particularly relates to an intelligent robot research and development test resource collaborative management system which comprises the steps that hardware resources are subjected to visualization processing, and basic information, position information, state information and maintenance information of all hardware are updated in real time through a resource chart; extracting technical keywords according to a team research and development direction and associating the technical keywords with a technical database; by updating basic information of hardware in real time, the problems that traditional manual recording is prone to errors and information lags behind are solved. And key projects with high strategic value, high emergency degree and high resource requirements are ensured to obtain resources preferentially through priority ranking. Through a conflict resolution strategy, long-term occupation of hardware due to a single task is avoided, idle hardware is automatically identified, and the hardware resource turnover rate is improved. And test result structured storage: a test library is constructed through label grading, so that the test results can be retrieved and reused, and the intelligent reuse of the test results can improve the overall research and development efficiency and quality.

The invention relates to a space-based cloud-oriented intelligent service management arrangement method and apparatus, and a communication device. The method comprises the following steps: a management orchestration body obtains satellite computing service demand data and global resource state data, and obtains task service level protocol parameters and a dynamic fusion resource map based on the satellite computing service demand data and the global resource state data; based on the task service level protocol parameters and the dynamic fusion resource map, generating task scheduling and resource allocation joint strategy information through a deep reinforcement learning model in combination with a preset optimization target; performing network function instance deployment and resource configuration of the satellite computing service based on the strategy information; and obtaining a service execution analysis result of the satellite calculation service, and generating a reward function according to the analysis result in combination with the task service level protocol parameters and the dynamic fusion resource map to update the parameters of the deep reinforcement learning model. According to the invention, better service quality guarantee and higher resource utilization efficiency of the satellite computing service in the space-based network can be ensured.

The invention discloses an unmanned operation and maintenance method, device and system for a photovoltaic power station, particularly relates to the technical field of automatic control, and is used for solving the problem of cooperative failure caused by conflict between centralized optimization and a local autonomous decision-making target of equipment in an unmanned operation and maintenance system for the photovoltaic power station in the prior art. A resource request instruction sequence is acquired in real time, a global resource map is synchronously constructed, and the resource request instruction sequence is matched with the global resource map to judge whether a resource allocation circular waiting chain exists or not; if yes, quantitatively evaluating the execution path intersection density of each heterogeneous operation and maintenance task in the resource allocation cyclic waiting chain in a physical space and a logic sequence, and analyzing an interference effect based on the execution path intersection density in combination with behavior randomness characteristics represented by each heterogeneous operation and maintenance device in path selection so as to trace the source of a conflict root cause; key conflicting tasks are determined based on the conflict root cause, and their execution device assignments are dynamically reconstructed to disengage the resource allocation cyclic waiting chain.

The invention provides a task collaboration-oriented distributed equipment adaptive networking method and system, and relates to the technical field of distributed equipment communication and collaboration, and the method comprises the steps: firstly receiving and analyzing cross-domain task demand information, and generating a task execution element set and a collaboration constraint condition; starting a distributed equipment capability autonomous activation process, generating atomic capability description information, and interactively converging the atomic capability description information into a global capability resource map; then, a distributed networking architecture is constructed according to the global capability resource map and the collaborative constraint conditions; and finally, the control equipment executes cross-domain task cooperative operation, and updates the networking form according to the real-time state data. According to the invention, decentralized distributed equipment self-adaptive networking is realized, the cooperative sensing and scheduling efficiency of the system is improved, and the adaptability to complex scenes is enhanced.

The invention provides a government affair resource scheduling method and system based on multi-terminal collaboration. The method comprises the following steps: receiving a composite government affair request of a user, analyzing the composite government affair request into a service chain and creating a unique service session; the system constructs a resource map based on a real-time window state, and plans an initial service path with the lowest time cost. The core lies in that the system does not perform rigid locking, but performs elastic probability reservation on a future time axis through a service identification code. The physical position and the service handling state of a user are tracked in real time by cooperating with multi-terminal equipment such as a user mobile phone and a service terminal, and the reservation probability and the time of a subsequent node are dynamically adjusted according to the physical position and the service handling state. And when the future resources are predicted to be not matched, actively scheduling the maneuvering service pool for reinforcement. And when the user is about to arrive and the reservation probability is increased to the highest, the system locks the resources and issues an instruction. According to the invention, the utilization rate of government affair resources is improved by constructing the dynamic scheduling closed loop for sensing the real-time state of the user.

The invention relates to the technical field of data collaborative analysis, in particular to a printing order commission distribution and resource allocation linkage method based on multi-channel data collaboration, and the method comprises the steps: integrating various key information of an order through constructing an order-resource map, and reflecting the correlation between the order and resources; an order-resource map is input into a map neural network model to extract a map embedding vector and construct a sub-map, so that a complex relationship between orders and resources can be mined, and accurate initialization of commission distribution and resource nodes is realized; local sub-graphs are shared through distributed communication, and a global commission distribution resource map is generated, so that centralized overall planning of all channels and all resources is realized, and commission distribution and resource allocation decisions are ensured to be based on an overall optimal principle; linkage operation is executed according to the global map to generate a matrix, and an instruction is issued, so that each channel order is ensured to obtain corresponding resources and commission according to a fair and reasonable principle; and the execution node is combined with a state execution algorithm and uploads data, so that a resource allocation path can be dynamically optimized in real time.

A method is presented which enables a controlled mechanism of applying the required set of settings, e.g., for cloud-based network infrastructure, by means of “profiles”. Infrastructure Management Service (IMS) applies one or more of Compute profile, Networking profile, Storage profile, Accelerator profile, and Application (“App”) profile to cloud infrastructure. The following set of procedures are defined to achieve the profile-based infrastructure management: a) profile definition; b) cloud-infrastructure-preparation based on profile(s); c) cloud audit and monitoring; and d) cloud preparation based on capability. Applying of a profile can involve one or more of: updating the BIOS settings, e.g., using Intelligent Platform Management Interface (IPMI) commands; updating the GRUB settings; updating the system / kernel parameters; updating interfaces (e.g., alias, bonding, etc.); creating required resources (e.g., virtual functions (VFs) and corresponding bindings); creating resource maps to be used by plug-ins; and running any scripts for custom needs of the RAN application.

The application relates to the field of knowledge graphs, and discloses a method and system for generating a resource map of a person's network based on a relationship graph. Multi-source interaction behavior data is collected to construct a heterogeneous graph structure, and a graph neural network is used to jointly encode the interaction frequency, time decay factor and spatial trajectory co-occurrence degree to calculate the weight of a strong implicit relationship. A relationship graph is generated based on the weight of the strong implicit relationship, and a space-time dimension index is embedded in the database structure. The space-time reachable probability of a resource node is calculated based on the combination of the geographical topological constraint, the weight of the strong implicit relationship and the space-time dimension index. The resource nodes are visualized and rendered based on the space-time reachable probability to generate a resource map of a person's network. The application overcomes the defect that a static graph cannot represent dynamic relationships, improves the accuracy of strong implicit relationship mining, realizes quantitative calculation of resource space-time reachability, and reduces the redundancy of graph search traversal.

The invention belongs to the technical field of hardware design, and provides a sharing operation method, system and equipment of a network acceleration unit and a medium, and the method comprises the step of configuring a shared general register, an exclusive general register and an exclusive special register group for multiple hosts in a single network acceleration unit. Each host accesses the register through the low-speed bus based on the unique identifier. And the acceleration unit performs data interaction with each host through a high-speed bus according to the configuration of the register. When the host operation is processed, the management message and the data transmission message are distinguished by judging whether the basic communication resource register group is accessed or not, and high-order modification and resource mapping are carried out on a load data address in the data transmission message. When an external data packet is received, a target host is determined through analysis and address matching, and resource identifier mapping and data access are carried out. According to the invention, each host is ensured to have independent communication resources and data channels, the complexity and the cost of hardware implementation are reduced, and the resource utilization rate and the system expansibility are improved.

The invention provides a resource scheduling method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of artificial intelligence and the like. According to the specific implementation scheme, the method comprises the steps of deconstructing received task demand data into a task general outline comprising a plurality of sub-tasks; searching and generating a target execution node cluster in a pre-constructed heterogeneous resource map based on the task general outline; during the period that the target execution node cluster executes the multiple sub-tasks, based on the task general outline, consistency verification is conducted on resource fragments generated by execution nodes in the target execution node cluster, when consistency deviation is detected, the execution nodes are controlled to start correction, and correction information of the execution nodes is recorded; after the plurality of sub-tasks are finished, calculating the influence weight of each capability service node based on the task execution result of each capability service node; and based on the influence weight and the correction information, iteratively updating node attributes of the capability service nodes in the heterogeneous resource map and parameters of historical interaction edges.

The application relates to the technical field of building engineering and provides a building construction progress digital monitoring method and system. The method comprises the following steps: collecting three-dimensional point data of a construction area, comparing the three-dimensional point data with a BIM model to extract a progress deviation, associating a construction log with a BIM component node to set a first evaluation index, associating a material record with the BIM component node to set a second evaluation index, combining the deviation and the two indexes to formulate a resource atlas of a construction process logic, accumulating influences based on the atlas according to a weight attenuation coefficient, taking efficiency as a characteristic to perform multi-scale evaluation, and combining dynamic threshold adjustment to perform resource compensation reminding. The application solves the technical problem that in traditional building construction progress monitoring, data updating is lagged, and a construction process logic is disengaged, so that a progress deviation is difficult to accurately identify, achieves the technical effect that through multi-source data fusion and intelligent comparison of a BIM model, real-time and accurate analysis of construction progress is realized, dynamic optimization of resource allocation is realized in combination with multi-dimensional evaluation indexes, and the technical effect of improving construction management efficiency is achieved.

The invention discloses a method and system for verifying an RISC-V processor and a computer readable storage medium. The method comprises the following steps: analyzing an RISC-V official manual and a micro-architecture user manual, and generating a static instruction-resource mapping table; and generating a first test instruction sequence for each instruction in the static instruction-resource mapping table, executing the first test instruction sequence by using an RISC-V processor simulation model constructed by a software simulator, and dynamically calibrating the static instruction-resource mapping table in the execution process. And traversing the instruction and resource mapping relationship in the calibrated static instruction-resource mapping table, analyzing RISC-V processor verification logic, and if a conflict is found, outputting a conflict report so as to complete defect repair before RTL code writing. According to the application, hardware behaviors can be accurately associated, the problem of disjunction of semantics and micro-architecture is solved, and conflict prediction in an architecture design stage and end-to-end automatic verification from instruction semantics to micro-architecture behaviors are realized.

The invention provides a network flow multi-level security protection model, system, method, equipment and medium. According to the method, a plurality of modularized atomization protection points are constructed through a predefined eBPF program library, and network control capabilities such as matching, speed limiting and state observation are realized. In a system initialization stage, a data plane architecture comprising a plurality of kernel execution layer dispatcher programs is constructed, and persistence of the programs and resource Map is realized through pin operation. The declarative network security policy is received through the SDK module, the policy control module analyzes the declarative network security policy to generate a configuration parameter, and the user mode module loads an eBPF program according to the configuration parameter and mounts the eBPF program to a kernel execution layer. The network flow triggers a protection point according to a path and outputs observation data; and the state aggregation sub-module aggregates the data according to the strategy and feeds information back to the upper-layer application. Therefore, flexible deployment of protection points and strategy dynamic driving can be realized, and the method has good expandability and response capability.

This invention discloses a method for constructing a database for the survey of traditional Chinese medicine (TCM) cultural resources based on knowledge graphs, belonging to the field of database construction technology. Specifically, it includes: collecting classical texts and field survey texts; extracting core entity terms using sequence labeling technology; establishing an ontology model including lineage and medicinal material origin dimensions to form a knowledge architecture for the TCM field; extracting entities and events from the text using neural networks, aligning entities to ontology nodes according to the domain knowledge architecture, and generating a basic TCM resource graph; calculating feature vectors of graph nodes, using inference algorithms to mine implicit connections between origin changes and treatment customs, and completing missing semantic edges in the graph; performing multiple path searches for resource nodes, aggregating their associated nodes in the lineage and regional dimensions, and generating a subgraph containing spatiotemporal evolution trajectories; and converting the generated subgraph into topological data to complete the construction of a network survey database.

The invention provides a signal transmission method and a communication device. The method comprises: a first device receiving first indication information, the first indication information being used for determining a resource pattern of a reference signal, the resource pattern of the reference signal comprising at least one first basic pattern, the first indication information indicating a relationship between the first basic pattern and a reference resource pattern, if so, whether the first basic pattern is updated relative to the reference resource pattern is indicated; and receiving or sending the reference signal based on the first indication information. Based on this, the first device can determine each basic pattern based on the relationship between the first basic pattern and the reference resource pattern and the reference resource pattern, and further can determine the resource pattern of the reference signal based on each basic pattern. Compared with a scheme of directly indicating the resource pattern of the reference signal, the scheme can reduce the signaling overhead brought by indicating the resource pattern of the reference signal.

The application provides a home industry zone independent station building service method and system, belonging to the technical field of data processing. First, a building request containing a target area identifier and a business feature identifier is obtained. Then, based on a predefined industry resource map, a continuous geographic space associated with the target area identifier is determined. Then, according to the real-time data corresponding to the continuous geographic space, a plurality of service blocks are generated, each block is associated with a geographic sub-area, and its corresponding feature vector is determined. Then, the matching degree of the business feature identifier and each feature vector is calculated, and the proximity is calculated in combination with the real-time load state of each service block and the target area identifier. Finally, based on the matching degree and the proximity, a main service block is determined from all service blocks, and based on the feature vector of the main service block, a final independent station corresponding to the building request is determined and generated. The application realizes the matching of building service and industry zone resources in business relevance and geographic service accessibility.

The embodiment of the invention provides a computing power network control method and system based on network resource slicing. The method comprises the following steps: constructing a global resource map based on heterogeneous resource information and network connectivity; determining a plurality of logic slices and a resource table corresponding to each logic slice based on the global resource map and a slice configuration strategy; obtaining task information of a to-be-processed task, and matching a target slice for the to-be-processed task based on the task information and a task allocation rule; in response to the condition that the target slice is not matched, updating the plurality of logic slices based on a resource compression strategy, and re-matching the target slice based on the updated plurality of logic slices; and in response to the matched target slice, processing the to-be-processed task based on the target slice, and updating the resource table corresponding to the global resource map based on the target slice.

The invention discloses a cloud cost optimization suggestion generation method and device based on a resource map. The method comprises the following steps: collecting cost data, a resource relation graph and resource performance monitoring data; according to the cost data, a preset rule and the resource performance monitoring data, identifying a target resource to be optimized, executing an optimization operation on the target resource, and calculating a cost saving expectation; topological positioning is carried out in the resource relation graph, and business service nodes depending on the to-be-optimized target resources are determined; evaluating the performance influence of the optimization operation on the business service node, and calculating the performance risk degree; and according to the cost saving expectation and the performance risk degree, generating an optimization suggestion with a risk assessment level. The technical effects of dynamically simulating the influence on the performance of the business when the optimization suggestion is generated and outputting an executable scheme with risk assessment are realized.

A computer-implemented method including associating, at a resource having a plurality of task elements, a task element manifest with each task element from the plurality of task elements, thereby creating a resource map, receiving a request to complete a task; providing the request to complete the task and at least a portion of the resource map to a Large Language Model (LLM); and obtaining, from the LLM, a dynamic user interface to complete the task.