22 results about "Spatial management" patented technology

This invention discloses an intelligent asset allocation management method based on digital twins, relating to the field of allocation management technology. The method includes: defining vertical candidate areas based on the centerline of the integrated utility tunnel; defining vertical closed zones based on the vertical candidate areas and load-bearing structures above the integrated utility tunnel; generating a set of utility tunnel management sub-zones based on the starting and ending mileages of the vertical closed zones; calculating the total longitudinal substitution burden coefficient based on the set of utility tunnel management sub-zones; calculating spatial management weights based on the total longitudinal substitution burden coefficients; and calculating resource allocation based on the spatial management weights and the total resource volume of the integrated utility tunnel. This invention improves resource utilization efficiency.

The invention discloses an off-line multi-scene collaboration and data synchronization mechanism and system based on a light guide film. State data of a user in multiple application scenes such as health monitoring, safety protection, social service, virtual world and smart home are subjected to local temporary storage, priority ranking and intelligent synchronization after network disconnection recovery through a unified identity authentication center. The unique identity feature code is locally cached after the user registers for the first time, and the user does not need to depend on online authentication in an offline state. The system comprises an off-line data temporary storage module, a priority ranking module, an off-network recovery synchronization module, a conflict arbitration module, a storage space management module and a manager off-line response module. When the network is interrupted, state change is temporarily stored in a local circular queue according to the priority (the highest life safety class), sequencing is carried out in real time during writing, and low-priority data is preferentially discarded when the space is full (coverage operation is executed at the head of the queue). And after the network is recovered, reporting according to a priority sequence, and reporting overtime retry by adopting a fragment transmission and breakpoint resume mechanism. The multi-device offline conflict is automatically arbitrated according to a version number, a timestamp and a device priority rule, and a conflict log retention period can be set. And when the supervisor is offline, automatically electing a temporary supervisor, and synchronizing data after recovery. According to the method, the problems that multi-scene state data are lost when the network is interrupted, off-line operation cannot be coordinated, and data conflicts are generated after recovery are solved, and a complete closed loop of online real-time synchronization, off-line temporary storage and supplementary transmission and high availability of a manager is realized.

The invention relates to the technical field of smart communities, and discloses a grid-based smart community big data service system, which comprises a grid division module, a data acquisition module, a big data processing module, a service execution module and a central control module, the system is also integrated with an interoperability and expansibility unit; the community geographic area is subjected to gridding division, the gridding granularity is dynamically adjusted according to the population density, the building type and the infrastructure distribution, fine space management and optimal configuration of community resources are achieved, meanwhile, multi-source data and services are integrated on the basis of the grid units, the definiteness and pertinence of community management are guaranteed, and the community management efficiency is improved. The resource utilization efficiency and the management precision are improved; multi-dimensional data such as environment, people flow and facility states are collected in real time through an Internet of Things sensor network, community monitoring equipment and a user terminal, edge calculation and a distributed framework are adopted for integrated analysis, and data support is provided for decision making.

The invention discloses an Internet of Things platform system and an interconnection method, and relates to the technical field of urban Internet of Things collaboration, and the method comprises the steps: building an identified geographic coordinate adjacent grid domain; forming a spatial position interconnection topology of the bidirectional adjacent association identifier; and configuring an association response rule for the established geographical coordinate two-way proximity association identifier by the Internet of Things middle station. According to the invention, automatic construction of the standardized identifier and the adjacency relation of the equipment position is realized, and the space management precision of equipment access is improved; the expression capability of the spatial topological relation between the devices is enhanced, so that the response behaviors between the associated devices have the capabilities of condition screening, aging control and dynamic negotiation, and the intelligent level and the execution reliability of the interconnection process are improved.

The technical scheme of the invention discloses an NFT-based data trusted space management and utilization method, which is characterized in that corresponding service data trusted spaces are constructed for service data, different types of service data correspond to different service data trusted spaces, and data are isolated among different service data trusted spaces. According to the method, the NFT smart contract is constructed for different business scenes and business data, so that data isolation and independent management of the different business scenes are realized, credible spatialization management of scene data is realized, and the problems of fuzzy data permission boundary, unauthorized access and the like in a traditional centralized management and unified account book mode are effectively avoided. According to the method, the NFT is innovatively introduced as a management unit of the business data, right confirmation, right control and transaction circulation of the business data are unified into the NFT smart contract for management, and right confirmation and dynamic control of the data are better realized.

The invention discloses a storage space allocation method and device and storage device.The method comprises the steps that a node list comprising node identifiers, occupation information and idle capacity values of storage nodes is searched according to a preset search direction, and when the idle capacity values of target nodes are matched with the data size of data to be stored in the node list, the target nodes are allocated to the storage nodes; inserting a new storage node after the target node, updating the idle capacity value of the target node, and storing the to-be-stored data according to the initial address of the to-be-stored data. Therefore, according to the embodiment, the storage nodes and the storage areas corresponding to the storage nodes are managed through the node list, data storage and storage space allocation are achieved, the state of storage resources can be grasped globally, time and algorithm complexity during data storage are reduced, fragments are reduced, an existing dynamic continuous space management method is improved, and the dynamic continuous space management efficiency is improved. And the dynamic continuous space management effect is optimized.

Congestion analysis tool for facility planning in hydrocarbon reservoirs, comprising a grid selection module, for defining an area of interest and sub-areas thereof; a congestion calculation module, that calculates congestion factors for the predefined area of interest and sub-areas thereof based on spatial data of facility features of a hydrocarbon reservoir; and a scenario module, that enables performing what-if scenarios to improve space management.

The invention relates to the technical field of storage, in particular to a dynamic reserved space management method, a resource pool controller and a storage system.The method comprises the steps that storage space in each storage is divided according to a preset percentage, and a user available space pool and a fixed shared reserved space pool are obtained; in response to a storage space application sent by a host, allocating an available space corresponding to the required capacity from a user available space pool through a resource pool controller, and taking the available space as a logical volume space for a user to access; and updating the capacity of the dynamic shared reserved space pool according to the current remaining available space in the fixed shared reserved space pool and the user available space pool. Therefore, the write amplification can be reduced and the service life of the SSD can be prolonged under the condition that the reserved space is not increased.

This invention discloses a method and system for optimizing the relocation and allocation of large gantry cranes based on SPMT (Specialized Spatial Management Machine), relating to the field of SPMT vehicle allocation technology. The method includes: establishing an iterative optimization framework connecting upper, middle, and lower layers; feeding back the dynamic risk value output by the lower-layer risk assessment model to the upper-layer optimization model to generate a new candidate configuration set; subsequently, performing simulation prediction by the middle-layer model and risk assessment by the lower-layer model on the new candidate configuration set again, until the generated candidate configuration set meets the preset convergence conditions. This achieves integrated dynamic and static optimization of the SPMT grouping scheme, overcoming the shortcomings of traditional empirical methods that rely on static estimation and cannot assess dynamic risks. It can significantly reduce vehicle configuration redundancy and operating costs while ensuring absolute safety, ultimately outputting a safe, reliable, and economically optimal relocation and allocation scheme.

This invention relates to the fields of remote sensing and geographic information engineering technology, and particularly to a land use change identification method driven by multi-source spatial data. The method includes: acquiring multi-source spatial data covering a target area and performing standardized preprocessing to generate a priori land use map as the data assimilation background field; constructing a land use abundance change process model based on material conservation, and obtaining a spatial discrete framework through adaptive grid deformation; establishing a multi-source differentiable observation operator, and solving the core parameters through four-dimensional variational assimilation with land use conversion constraints to complete land use change identification and rolling dynamic monitoring. In this invention, land use change is modeled as a continuous physical process, overcoming the limitations of traditional discrete-time hard classification and comparison methods. This effectively improves the temporal coherence of change identification and the consistency of multi-source data fusion, meeting the needs of high-precision long-term land use dynamic monitoring, and providing stable and reliable data support for natural resource surveys, monitoring, and land spatial management.

The invention relates to the technical field of distributed computing, in particular to a storage space management method, device and equipment and a computer readable storage medium. Whether the number of the storage units in the current data storage space needs to be adjusted or not is judged based on the operation indexes of the data processing system, the target number is automatically calculated and adjustment is rapidly completed when adjustment is needed, manual intervention is not needed in the whole process, dynamic matching of the load and the storage capacity of the data processing system is achieved, and the data processing efficiency is improved. And the management efficiency and the automation degree of the data storage space are improved.

This invention relates to the field of industrial internet technology and provides a method for triggering events in industrial internet building spaces, comprising the following steps: S1: setting data management rules for data flow during building space event triggering in the order of responsible object, responsible scope, and responsible content; S2: when a building space query event is triggered, calling the data management rules to generate a corresponding data viewing permission scope and pushing it to the responsible object, or when a building space management event is triggered, calling the data management rules to generate a message push strategy to obtain the responsible object for the next process, so as to push management data to the responsible object. By optimizing the data management rules, precise control of data permissions, flexible and easy-to-use rule configuration, and intelligent and efficient rule activation logic are achieved, thereby improving the automation and intelligence level of the entire event triggering process and meeting the increasingly complex management needs of modern industrial internet building spaces.

The invention relates to the technical field of electric power engineering digital management, and discloses a whole-process digital collaborative management platform for electric power engineering construction. The method comprises a dynamic management framework, a data acquisition and injection module, a data analysis and vector generation module, a vector space management module and a collaborative operation module. The platform performs hierarchical analysis on a field real-time data stream according to a dynamic management framework, extracts data fragments corresponding to each management hierarchy and generates a multi-dimensional management vector so as to construct a global management vector space. And defining a cooperative operation track in the space, and generating a specific management instruction according to the cooperative operation track. According to the method, mixed field data are converted into structured and computable management state vectors, and accurate association of data and management is realized; and through trajectory operation of a vector space, a cross-level and multi-target management decision is converted into a continuous and adaptive collaborative optimization process, and the integrity and automation level of management are improved.

This system analyzes user preferences based on user profile data and provides a means to suggest compatible other users and residential properties. [Solution] A system including an input means for collecting user profile data, a calculation means for analyzing the user's preferences based on the collected user data and matching them with other compatible users, a selection means for selecting and proposing property information based on the user's preferences, a display means for presenting the proposed properties and roommate candidates to the user, a reservation means for booking and managing mentoring sessions with industry experts, a management means for providing career opportunities from partner companies and managing user applications, and a space management means for managing reservations for creative spaces.

There is provided a method and apparatus for free space management in a distributed database. Each datanode of the database is assigned a free space map to manage free space. When a datanode requires additional storage space, a new free space map may be assigned to the datanode, a free space map of a different datanode may be shared with the datanode, or a free space map of a different datanode may be reassigned to the datanode. A background process may be used to recycle inactive free space maps.

The invention discloses a multi-source and multi-modal data aggregation method for Yangtze River basin water ecology evaluation, and relates to the technical field of water ecology environment data processing. The method follows the management thought of three-water overall planning and the water ecology assessment requirement of the Yangtze River basin, firstly, multi-dimensional multi-source multi-scale data is extracted in a full-amount and increment combined mode, and a basin water ecology environment database containing an evaluation index library is established after cleaning treatment; based on a drainage basin-important water body-control unit-catchment range-administrative jurisdiction five-level space management system, adopting a probability data association algorithm or a joint probability data association algorithm to realize data association; completing data fusion through an original data fusion mode, a feature fusion mode, a decision fusion mode or a mixed fusion mode by using a neural network method; and finally, realizing comprehensive application of data in combination with a multi-model coupling architecture.

The invention discloses an intelligent management method and system based on territorial space information, and relates to the technical field of territorial space intelligent management, and the method comprises the steps: collecting multi-source environment monitoring data, generating a standardized feature map, constructing a Markov transfer matrix based on a space feature map, and fusing the carbon emission and carbon absorption amount. Obtaining net carbon emission and a carbon influence weight, generating a fusion multi-feature graph by using a multi-modal adaptive fusion network model based on the carbon influence weight, and obtaining a graph spot set by using a ChangeFormer model; calculating the radius of the pattern spot based on the pattern spot set and obtaining a weighted influence value, and calculating the compatibility score of the pattern spot by using the weighted influence value; and performing classification by using the compatibility scores of the pattern spots, obtaining comprehensive priority scores based on a classification result, and selecting first ten priority pattern spots by using the comprehensive priority scores. The ecological sensitivity, the detection precision and the real-time performance of land space management are improved.

This invention relates to the field of regional ecological environmental protection and discloses a method for assessing human activity disturbance in ecologically vulnerable areas based on stress and sensitivity. The method includes constructing human activity stress indicators covering population agglomeration, urban construction, agricultural production, industrial production, tourism and leisure, and energy development, as well as ecosystem sensitivity indicators based on topography, soil, vegetation, and climate sensitivity. It comprehensively utilizes multi-source data to extract and optimize each indicator through a spatial model; employs a combination of subjective and objective methods to determine indicator weights, and calculates the human activity stress index and ecological sensitivity index separately; and obtains the human activity disturbance index through a product model coupling, achieving a quantitative spatial assessment of human activity disturbance. This invention overcomes the limitations of traditional assessments that separate stress and effects, achieving accurate identification of disturbance hotspots and key stress factors in ecologically vulnerable areas. The process is scientific, the results are reliable, and it is applicable to ecological risk diagnosis and spatial management decisions in ecologically vulnerable areas.

A spatial map server includes one or more processors that are configured to receive a spatial management request to create or update information associated with a spatial map, where the spatial management request indicates a spatial map identifier and a sensing service policy, send, to a sensing service function, a sensing service request, wherein the sensing service request is based on the received spatial management request, and indicates a sensing area, a sensing resolution, and sensing output requirements, receive, from the sensing service function, a sensing service response that indicates sensing results for one or more objects within the sensing area, and generate, based on the sensing service response, updated information associated with the spatial map.

The invention provides an intelligent cross-border supply chain management optimization distribution method and system, and belongs to the technical field of data processing, and the method comprises the steps: dividing a supply chain coverage area into a plurality of geographic grids containing warehouses or transfer nodes according to the distribution of logistics hubs and trunk lines; and constructing a dynamic transportation network graph by taking the nodes as vertexes. Based on the network graph and the supply relationship, a corresponding candidate supply warehouse set and an optimal transportation path set to each warehouse are pre-calculated for each geographic grid. And when an inventory allocation request of a target geographic grid is received, according to the emergency degree label of the inventory allocation request, matching a path with corresponding transportation time efficiency from the pre-calculated path set to form a to-be-selected scheme. And finally, based on the real-time inventory data of the candidate warehouses associated with the to-be-selected schemes, generating an inventory allocation instruction. According to the invention, space management of supply chain resources, real-time perception of a logistics network and collaborative optimization of inventory and logistics are realized, and the overall efficiency of a cross-border supply chain is improved.

This invention belongs to the field of smart city information technology, specifically involving a method and system for intelligent perception and dynamic scheduling of smart city building space. It constructs a core system for multi-source perception collaboration, dynamic scheduling of grid-based resources, and intelligent adaptation to emergency scenarios. It designs dynamic networking of building grid perception nodes, spatiotemporal fusion of multi-source perception data, grid-based modeling of building space resources, multi-objective optimization of dynamic resource scheduling, rapid matching of grid-based codes for emergency scenarios, and hierarchical scheduling of emergency resources. This achieves full-domain collaboration of building space perception, precise and dynamic resource scheduling, and intelligent and efficient emergency response, breaking through the technical bottlenecks of "isolated perception, static scheduling, and passive emergency response" in traditional building space management.

The application discloses a boundary decomposition-based spatial management range four-adjacent-plot quantization judgment method and system, relates to the technical field of spatial data processing and management, and constructs a cross-format and multi-coordinate-system spatial management range batch automation processing method and system through spatial management range data reading and preprocessing, boundary decomposition and azimuth angle calculation, direction classification and adjacent object identification, attribute assignment and structured storage, and four-adjacent-plot comprehensive judgment, and outputs the result in a structured and unified coded form, so as to meet the efficient, accurate and standardized requirements of water conservancy management, land right confirmation, real estate registration and other businesses on four-adjacent-plot information.