188 results about "Management area" patented technology

A method of managing user movement in an area is provided. The area comprises a plurality of points of interest and / or zones. The method comprises receiving raw data relating to one or more users in the area and indicative of a geographic location of the one or more users. The method further comprises deriving, using the raw data relating to the one or more users, characterising data relating to one or more derived characteristics of the one or more users. The method further comprises forecasting, using a trained artificial intelligence model and the characterising data of the one or more users, user attendance at one or more of the points of interest and / or zones, and / or a number of users leaving the area, within a predetermined period. The method further comprises responding to the forecasted user attendance.

The invention provides a digital intelligent carbon emission integrated measurement management method and platform, and relates to the technical field of carbon emission management, and the method comprises the steps: collecting multi-source carbon emission related data of a target management region through a preset data interface and Internet of Things equipment; correlation and fusion are carried out on multi-source carbon emission related data, and an integrated carbon activity database is constructed; calling a built-in carbon emission factor library, carrying out automatic accounting and dynamic metering on carbon emission of an organization level and a product level, and generating a real-time carbon emission flow map; carbon footprint tracing and hot spot analysis of the whole life cycle are carried out by combining a product bill of material and a production process path, and a key emission link is positioned; and carrying out visual display on the real-time carbon emission flow map and the key emission link. According to the invention, the technical problem that the carbon emission management and control efficiency is further affected due to the fact that a specific emission link cannot be positioned due to data islands and post accounting in the prior art is solved.

The invention provides a memory erasing management method and device, electronic equipment and a storage medium. Determining a target storage page for storing the to-be-processed data according to the erasing management information in the management area of each storage page; determining a first logical address corresponding to a first physical address of the target storage page and a second physical address corresponding to a second logical address of the to-be-processed data according to page address mapping information in the erasing management information; switching the mapping of the first logic address to the second physical address, switching the mapping of the second logic address to the first physical address, and updating the read erasing management information; and writing the to-be-processed data into a content area of the target storage page based on a mapping relationship between the second logic address and the first physical address. According to the method, the appropriate target storage page is selected for the to-be-processed data to be stored, so that all the storage pages are subjected to balanced loss together, and the purpose of aging together is achieved.

Techniques are described for performing an automated region build. An orchestration service (e.g., a Multi-Flock Orchestrator (MFO)) may be configured to bootstrap any suitable number of services within a region corresponding to one or more data centers. Each service can be associated with a respective set of resources (e.g., infrastructure components to be provisioned, software artifacts to be deployed, etc.). The WO can obtain configuration files corresponding to the services to be bootstrapped and perform a static analysis the configuration files to identify one or more dependencies between the services. Circular dependencies can be identified and resolved before region build. A graph may be generated that maintains the dependencies identified and indicates a corresponding order with which bootstrapping tasks are to be performed. The WO may traverse the graph to incrementally instruct, according to the identified dependencies, a provisioning and deployment manager to bootstrap services in the region.

The invention discloses a forest land soil data management method and system based on unmanned aerial vehicle multispectral inversion, and particularly relates to the technical field of soil ecology, and the method comprises the steps: S1, management region determination: determining target forest land soil data as a target management region, and then dividing the target management region into sub-regions according to an equal-time division mode, the sub-regions in the target management region are sequentially numbered as 1, 2,..., i,..., n according to equal time; s2, unmanned aerial vehicle image data acquisition, which is used for acquiring unmanned aerial vehicle image data of a target management area; the system not only comprises soil physical and chemical indexes, but also covers unmanned aerial vehicle image data so as to obtain spectrum related data, inversion is carried out after multi-source data fusion, the soil ecological function is comprehensively described, and a more comprehensive management result is provided.

The invention provides a display screen log management method and system and a storage medium, and is mainly characterized in that a log storage component is configured for each display screen, the log storage component at least comprises a starting area and a log management area, and the log management area comprises a plurality of storage pages; the display screen log management method comprises the steps of collecting log data of a display screen in real time and caching the log data to a storage queue; writing the log data into the log management area based on a starting guide unit stored in a starting area; wherein when any storage page in the log management area is fully written, a boot start unit updating request is sent out, so that the boot start unit is updated; and reading target log data from the log management area based on a received log reading instruction, and exporting the target log data based on a preset communication protocol. According to the method, independent storage of the display screen log data is realized, and the analysis difficulty and the operation and maintenance cost of the display screen log are remarkably reduced.

The invention provides an intelligent gas unmanned inspection method and system based on the Internet of Things, the method is executed by a government safety supervision management platform of the intelligent gas unmanned inspection system based on the Internet of Things, and the method comprises the following steps: obtaining area data of a management area; based on the area data and the traffic data of the management area, whether the management area is determined as a to-be-inspected area is judged; in response to determining the management area as a to-be-inspected area, determining inspection parameters of the to-be-inspected area; the inspection parameters are related to at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment; and sending the inspection parameters to a government safety supervision object platform to control at least one of pipeline monitoring equipment, detection personnel and unmanned inspection equipment so as to complete inspection of the to-be-inspected area. Through the above method, polling can be completed in a more targeted and timely manner, so that the polling result is more reliable, and smooth proceeding of subsequent troubleshooting is facilitated.

The invention belongs to the technical field of smart campus security management, and relates to a smart campus security management system based on Internet of Things, comprising: a logic management region division module, each logic management region being deployed with at least two types of Internet of Things security devices; the local event detection module is used for generating a standardized event information message; the central area locking module is used for triggering the campus security center platform to highlight a target area on an electronic map according to the logic management area identifier, and calling real-time state information of all Internet of Things security equipment in the target area; the adjacent physical region retrieval module is used for generating a collaborative equipment list; and the equipment linkage response module is used for driving associated equipment of the target area and the adjacent physical area to execute linkage operation according to the event type. The problems that equipment linkage depends on manual triggering instructions, and key channels cannot be opened in time in emergency scenes such as fire disasters are solved.

The invention relates to the technical field of water resource management, in particular to a water budget data processing method. The technical scheme comprises the following steps: acquiring historical data of a management area; and obtaining the increment of the area management unit in the management area after the budgeting time period and the corresponding data label. And performing matching according to the data labels corresponding to the region management units to obtain paired region management units. Obtaining the soil state of the area management unit in the management area and the weather state in the budget time period, and matching the soil state and the weather state with the existing soil state and weather state to obtain a matching time period. And taking the water expenditure data and the water income data of the matched area management unit in the matched time period as the water expenditure data and the water income data of the area management unit in the management area, and then calculating to obtain the water transfer amount in the management area. According to the invention, the existing area management unit is used for replacing a newly added area management unit for calculation, so that a large amount of survey work can be reduced, and the calculation accuracy is improved at the same time.

The invention relates to the field of edge calculation, in particular to a sprinkling machine variable irrigation control method based on target water depth cutting and geometric volume-preserving mapping, and the method is universal in two operation modes of a central pivot (circle) and translation. According to the method, a closed-loop process of target cutting-connected partition and discrete gear selection-AMR cell refinement-CMI mapping-cell-level constraint deconvolution-60s period greedy backtracking-execution and monitoring is followed, and cooperative control of 4-5 management regions and a plurality of cells in the whole field can be realized; the community-level and whole-field double-layer (> = 90%) satisfaction degree is preferentially ensured, and the uniformity and water saving are both considered.

The invention discloses a virtual-real interaction method for a digital twin network, which comprises a digital twin network system consisting of a real network, a virtual network, a bearing network and a transmission network, the bearing network and the transmission network are connected with the two networks, and the digital twin network system divides the real network into a plurality of twin network management areas through mechanisms such as domain division autonomy and the like. A corresponding virtual twin network management area is constructed in a twin network, the twin network management area and the virtual twin network management area cooperatively complete work in a one-to-one correspondence mode to achieve digital twin application of a complex communication network, and a path optimization algorithm and an SRv6-based path guarantee strategy are introduced into virtual-real cross-domain communication. And the reliability and the service capability of virtual-real interaction are effectively improved.

1. The name of this design product: Woodland Boundary Stake. 2. Purpose of this design product: A marker used to indicate forest boundaries and management areas. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

This application discloses a method and apparatus for collaborative detours. The method includes: a first collaborative module determining a first type of detour path based on the airspace operating conditions of waypoints and / or routes within its managed area; the first type of detour path includes at least one detour path; the first collaborative module screening a second collaborative module based on the first type of detour path and sending the first type of detour path to the second collaborative module for review; if the first type of detour path is approved, the first collaborative module determines that the first type of detour path is usable; if the first type of detour path is not approved, the first collaborative module receiving a second type of detour path, which is determined by a third collaborative module based on airspace operating conditions and includes at least one detour path; the first collaborative module determining that the first type of detour path is usable improves the efficiency of detour plan formulation.

The invention provides a memory management method and a storage device. The method comprises the following steps: performing electrical characteristic detection on a plurality of word lines to obtain an electrical characteristic detection result; based on the electrical characteristic detection result, a plurality of management areas are divided in the memory module, and the management areas are vertically distributed in the memory module according to respective electrical characteristics; in response to a target operation event, determining that the target word line is located in a target management area in the plurality of management areas, the target operation event indicating execution of a target operation on the target word line; determining a target management table corresponding to the target management area from the plurality of management tables; adjusting the reference electrical parameters according to the target management table; and executing a target operation on the target word line according to the adjusted reference electrical parameter. Therefore, the operation performance and / or the operation stability of the storage device can be improved.

The invention discloses a meat duck ecological breeding system which comprises a duckling stage management area, a young duck stage management area, an adult duck stage management area and a central control unit, environment control modules are arranged in the duckling stage management area, the young duck stage management area and the adult duck stage management area, and the meat duck ecological breeding system further comprises a central control unit. The central control unit is used for constructing an environment optimization model, the environment optimization model is used for calculating the optimal regulation and control condition of each management area according to the real-time state information of each management area and the growth stage of the meat duck, and the central control unit instructs the corresponding environment control module to execute operation so as to control the environment of each management area. According to different growth stages of meat ducks, the management system is divided into a duckling stage management area, a young duck stage management area and an adult duck stage management area, each management area is provided with an independent and accurate environment control module, and centralized regulation and control are carried out by a unified environment control unit, so that the meat ducks in each stage can be ensured to be in the most suitable growth environment.

The invention discloses a cloud computing resource management method, system and device, a medium and a product, and relates to the technical field of cloud computing, and the method comprises the steps: obtaining a target main body resource, and dividing a target management region where the target main body resource is located into a plurality of management sub-regions; collecting computing power demand information parameters of each management sub-region; the computing power demand information parameters comprise processor operation parameters, disk operation parameters, throughput parameters and cost parameters; according to the computing power demand information parameters, calculating a resource comprehensive optimization index of each management sub-region; and allocating and managing the resources among the management sub-regions according to the resource comprehensive optimization index. By adopting the embodiment of the invention, the computing power characteristic of the target main body resource can be focused, and the subarea-level resource refined dynamic management is realized.

The application relates to the technical field of municipal engineering inspection, and discloses a method and system for unmanned aerial vehicle (UAV) inspection applied to municipal engineering. The method comprises the following steps: determining a first inspection priority of a target municipal management area based on the facility importance degree and spatial dependence relationship of each grid unit of the target municipal management area; in response to a first inspection instruction, controlling different slave groups in a UAV formation to sequentially inspect each grid unit according to the first inspection priority to obtain first municipal inspection data; and in response to a second inspection instruction, controlling the different slave groups in the UAV formation to sequentially conduct secondary inspection on each grid unit according to a pre-set second inspection priority to obtain second municipal inspection data. The application realizes full-process optimization from regional planning to local fine operation, and significantly improves the accuracy and efficiency of municipal engineering inspection.

The application relates to a large-scale joint simulation interest management method and system based on a von neumann diagram. The method comprises the following steps: setting a first accessed matching node as a network management node, controlling new node access by the network management node, generating a von neumann diagram based on existing node distribution, dividing simulation data management areas of all nodes, and being responsible for corresponding area data transmission. A client sends an interested area data subscription request to any matching node, and after receiving the request, the node sets nodes with overlapping management areas and interested areas as main matching nodes. The client publishes simulation data to the main matching node, the main matching node notifies relevant main matching nodes according to the subscription record, and then sends the simulation data to the subscription client. The method can reduce redundant simulation data in network transmission, optimize transmission interaction relationship, improve communication efficiency of large-scale distributed simulation, and guarantee smooth operation.

The invention discloses an enterprise online interaction data management system, and relates to the field of enterprise data management, the enterprise online interaction data management system comprises an enterprise management center, the enterprise management center is in communication connection with an employee management module, a business process management module, a database module, a business analysis module, an employee operation module and a data monitoring module; the enterprise management center is used for setting a corresponding management area for an enterprise; the employee management module is used for managing corresponding employees and managing comprehensive points of the employees; the business process management module is used for acquiring business data and distributing the business data to corresponding management areas; the business analysis module is used for analyzing and obtaining comprehensive business data corresponding to the business data; the employee operation module distributes the business data to the corresponding employees according to the comprehensive points and the comprehensive business data of the employees; the data monitoring module is used for monitoring the business completion progress of the employees; according to the invention, business data distribution in an enterprise is more reasonable to a certain extent, and the working efficiency of employees is improved.

The embodiment of the invention relates to an intelligent management method and system for a node unit, and the method comprises the steps: obtaining exploration task parameters, including the number of intelligent robots, the performance parameters of each intelligent robot, the topographic data of an exploration region, and the position information of a detection point; based on the number of the intelligent robots, the performance parameters and the topographic data of the exploration area, a clustering algorithm is adopted to divide the position of the detection point into a plurality of management areas, one intelligent robot is distributed to each management area, and in the division process of the clustering algorithm, the topographic weighted distance and the load rate of the intelligent robot serve as joint optimization factors; the task instruction is issued to each intelligent robot, the task instruction comprises at least one of a node unit arrangement instruction, a node unit recovery instruction and a process management instruction used for data recovery, normal form transformation from extensive manual division to automatic and fine distribution is achieved, and the overall operation efficiency of node unit management is improved.

The invention relates to the technical field of marine fishery, in particular to an offshore leisure fishery management system and method based on multi-source data. The method comprises the following steps: constructing a mapping layout of an overview management area based on a multi-level fishery restriction dimension, mapping multi-dimensional supervision information of offshore leisure fishery to the mapping layout through significance comparison, and then displaying a normal management area and a violation management area according to positive-negative invasion and occupation analysis; the method comprises the following steps of: performing distribution splicing of space-time trend change on corresponding past multi-source fishery data by taking identification of potential abnormal trend behaviors of trace strongholds experiencing seaborne leisure fishery activities on a violation management area as a mode premise, and tracing and positioning fishery points of this type and different types by analyzing a fishery space-time trend star tip map. According to the invention, different levels of management measures can be taken for offshore recreational fishery activities according to multi-source fishery data, the reliability and scientificity of offshore recreational fishery management are improved, the offshore recreational fishery industry is standardized, and sustainable development of fishery resources is promoted.

The invention discloses a data center machine room material intelligent management system based on the Internet of Things technology, and relates to the technical field of material management, and the system comprises a storage region division module, a management analysis module, a real-time monitoring module, and a machine room authority module. Management area division is carried out through the area of the machine room area, dynamic monitoring point setting is carried out on the management area, the use frequency data value of materials is obtained according to historical material data, the material layout of the management area is dynamically adjusted, and according to the material use number and time after the equipment maintenance period, the material layout is dynamically adjusted. The method comprises the steps of obtaining actual material demand prediction, obtaining a material demand influence coefficient through a time difference between the actual remaining amount of materials and a material maintenance period, accurately predicting the material demand, achieving automatic replenishment, dynamically recognizing, judging and feeding back materials required by personnel according to the material demand information of the personnel, and monitoring the material dynamic state in real time. And abnormal conditions can be found and processed in time.

The application discloses a kind of unmanned plane identification systems based on AC mode inquiry response type 2.4GHz channel, it is related to unmanned plane technical field, including management system, ground station equipment and airborne terminal equipment;Each ground station equipment adopts 2420MHz frequency band broadcast inquiry mode to the unmanned plane in range periodically sends inquiry signal;When airborne terminal equipment receives inquiry signal sent by ground station equipment, it is sent to ground station equipment with 2480MHz frequency band response mode, and response signal is unmanned plane identification data;Ground station equipment transmits the unmanned plane identification data received to management system, and management system displays the unmanned plane identification data of management area, and records unmanned plane operation data, while the running state of entire unmanned plane identification system is configured and displayed.The application solves the technical problem that traditional unmanned plane identification mode cannot accurately identify and manage unmanned plane.

The invention discloses a highway networking charging management and information resource wide-area fusion scheduling system, relates to the technical field of intelligent traffic charging management, and constructs a highway networking charging management architecture with multi-level management from top to bottom in a management area, and establishes mutual access channels through a cloud service network. The global center management node supervises the working state of each resource scheduling management node, overall plans business cooperation among the resource scheduling management nodes according to the working state, and issues a scheduling instruction to each resource scheduling management node; the resource scheduling management nodes are mutually standby nodes, the corresponding toll lane systems and cloud seats are managed according to scheduling instructions, a road network resource scheduling management network is generated and maintained, the toll lane systems provide services for users passing through toll lanes of a toll plaza, and the cloud seats are used for remotely receiving and processing manual service requests. Through cross-regional scheduling and multi-warehouse mutual backup of the human resources, comprehensive clouding and unified scheduling of the computing resources and the human resources are realized.

This application relates to the field of smart property management and discloses a resource scheduling method for smart property management based on deep learning. The method includes: constructing a spatial topology influence map of the target property management area; spatially aligning the multi-source heterogeneous data streams according to the nodes of the spatial topology influence map and generating a sequence of node feature vectors corresponding to each node; inputting the node feature vector sequence into a spatiotemporal influence propagation prediction model; performing spatial feature aggregation on the node feature vector sequence based on the graph attention layer and the static topology constraint parameters in the spatiotemporal influence propagation prediction model to generate a spatiotemporal influence representation characterizing the degree of impact of sudden events on each functional area; predicting the resource demand heat value of each functional area within a preset time period based on the spatiotemporal influence representation to form a resource demand heat distribution; and generating a resource scheduling instruction set based on the resource demand heat distribution. This technical solution improves the user's property service experience.

The invention relates to the technical field of industrial robot collaborative obstacle avoidance, in particular to a multi-scene industrial robot collaborative obstacle avoidance method and system based on visual guidance. Comprising the following steps: S1, collecting visual data of the industrial robot, generating a two-dimensional work management area at the same time, and performing initial volume setting on the industrial robot in the work management area; s2, carrying out transportation volume analysis on the industrial robot according to the visual data; differentiation cost coefficients are set for robots in a transportation state and a non-transportation state, the total cost of each obstacle avoidance path is calculated, and the path with the lowest total cost is selected for updating, so that all the robots are ensured to avoid obstacles, the efficiency of high-priority tasks is guaranteed preferentially, the overall operation delay caused by disordered obstacle avoidance is avoided, and the obstacle avoidance efficiency is improved. By means of the global collaborative path planning mode, efficient operation of the industrial robot under multiple scenes is achieved.

The invention relates to the field of environment monitoring, in particular to an environment monitoring method and system based on a low-code platform, and the method comprises the steps: collecting observation data of a management region, carrying out the digital simulation of the management region based on the low-code platform according to the observation data, and obtaining a region simulation model; and performing simulation deployment of the environment monitoring network on the regional simulation model through the low-code platform to analyze deployment effect characteristics of the environment monitoring network, and performing feedback optimization on a deployment form of the environment monitoring network according to the deployment effect characteristics to obtain a regional monitoring deployment scheme.

The present invention discloses a method for load forecasting and adjustment of a distribution network, which relates to the technical field of load forecasting of distribution networks. The method comprises the following steps: based on the management areas of different distribution networks in a city, the usage types of the distribution network are divided into residential, commercial, industrial, and mixed types, a city distribution network database is established, and distribution network archives are established based on the types; daily load data of different distribution networks in different historical months are collected, hourly predicted peak loads of different regions are calculated based on temperature intervals, and predicted surplus loads and predicted deficit loads are obtained in combination with the planned loads of different distribution networks, and surplus load time intervals and deficit load time intervals of different regions in different months are divided. The present invention predicts the load of the distribution network in combination with the characteristics of the management area of ​​the distribution network, and performs profit and loss management pairing on the distribution network in combination with the predicted load, thereby enhancing practicality and functionality.

The invention belongs to the technical field of information acquisition, and particularly relates to a biological characteristic acquisition method and system for frontier inspection, a terminal and a medium. Wherein the biological characteristic collection for the frontier inspection comprises the following steps: dividing a management area according to a frontier inspection environment; generating a preliminary acquisition instruction, and sending the preliminary acquisition instruction to preliminary acquisition equipment to perform preliminary biological feature acquisition operation on the target person; according to the preliminary biological feature collection operation, generating a preliminary biological feature collection result to obtain previously stored feature data of the target person; generating a re-collection instruction, and sending the re-collection instruction to the frontier inspection all-in-one machine to perform re-biological feature collection operation on the target person; generating a real-time biological characteristic acquisition result according to the secondary biological characteristic acquisition operation; and comparing the real-time biological feature collection result with the previously stored feature data to obtain an identity verification result. The speed and efficiency of frontier inspection can be improved.

The application discloses a kind of GIS-based urban pipe network management system and method, specifically relates to geographic information system field, including management area division module, building / geographic information data acquisition module, building / geographic information data processing module, pipeline BIM modeling module, pipe network management rationality index calculation module, pipe network management rationality index judging module, data interaction conveying module;The application receives the geometric model under three-dimensional GIS engine by data interaction conveying module and exports general data exchange format containing accurate three-dimensional space geographic coordinates, which is convenient for data integration and display on GIS platform, and assists management personnel to respond and handle problems quickly.