247 results about "Management area" patented technology

The invention relates to the field of the Internet of Things, and discloses a multi-device security management method and management system based on the Internet of Things, and the method comprises the steps: carrying out the grouping of all Internet of Things devices in a management region through a device management module according to the dividing features of Internet of Things device groups, and obtaining a plurality of Internet of Things device groups; the equipment state detection device generates an equipment state management container of the Internet of Things equipment group, obtains information of each piece of Internet of Things equipment in the Internet of Things equipment group, generates an Internet of Things equipment information list, and sends the Internet of Things equipment information list to the equipment state management container of the Internet of Things equipment group; the equipment state management container of the Internet of Things equipment group detects the Internet of Things equipment hardware security and software security of each Internet of Things equipment group according to the Internet of Things equipment information list; and multi-device security management of the Internet of Things is completed. According to the invention, a targeted security management strategy can be realized, and the flexibility and applicability of management are improved.

The invention relates to the field of energy-saving management, in particular to an energy-saving control management system based on a public building, and the system comprises a region monitoring module which is used for periodically responding to a parameter standard condition so as to determine whether each target control parameter meets a control requirement or not; the standard optimization module is used for performing parameter standard optimization on each target control parameter; the area evaluation module is used for periodically responding to an area evaluation condition to determine a parameter estimation strategy of the target management area; the pre-estimation analysis module is used for executing the parameter pre-estimation strategy determined by the region evaluation module so as to determine a pre-estimation index of the target optimization parameter; and the parameter analysis module is used for determining a parameter control strategy of each target optimization parameter in response to the parameter evaluation condition, and adjusting the parameter control coefficient of the target optimization parameter, so that the effectiveness of an energy-saving control result is improved.

The invention discloses an equipment management method and device, electronic equipment and a storage medium. The method comprises the following steps: configuring a Bluetooth anchor point array in each room of a management area; determining position information of terminal equipment based on the Bluetooth anchor point array; and determining room information corresponding to the terminal equipment according to the position information and a house type diagram corresponding to the management area. According to the embodiment of the invention, high-precision positioning of the terminal equipment can be realized through the Bluetooth anchor point array, the room information is automatically allocated to the terminal equipment based on the determined position information, manual setting by a user is not needed, and the room allocation efficiency and accuracy are improved.

The invention provides a traffic risk intelligent monitoring and early warning method, system and device and a medium, and belongs to the technical field of intelligent traffic. The method comprises the following steps: collecting real-time traffic data, environmental meteorological data and accident report data as source data; standardizing the source data, and storing the standardized source data into a database according to different data structures in a classified manner; classifying the source data according to information recorded by the source data by utilizing a target monitoring model and an object comparison technology; the event type of the source data comprises a weather event, a vehicle event, a facility event and an environment event; based on the source data of different event types, respectively calculating the score of each event; calculating a real-time comprehensive risk index based on the score of each event; and determining a risk level based on the real-time comprehensive risk index, adding a risk identifier at an early warning position in a monitoring platform map according to the risk level, and dividing a road section management area for the early warning position.

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.

In the present application, a shared memory is created by means of an mmap function provided by an operating system, wherein a mapping relationship is established between the shared memory and a corresponding specific file among disk files; when data is written into the shared memory, the operating system synchronizes data in the shared memory to the disk files in real time, wherein the shared memory can be used to realize a cached data writing process and a data query process with respect to the disk files; and when cached data exceeds the capacity of the shared memory, an LRU eviction algorithm automatically deletes old data and then writes new data, wherein the shared memory is divided into a lock management area, a data area, a hash bucket area, an algorithm management area and a transaction management area, the lock management area is used for controlling the modification of hash table critical section data to ensure that only one process can modify the critical section data at the same moment, a shared lock is added by means of the lock management area during data writing and reading, and the transaction management area is used for ensuring whether modification is executed, and is responsible for, when a process exits abnormally, cleaning up unreleased locks and rolling back intermediate state transactions.

The invention discloses a property management intelligent scheduling and maintenance method, and relates to the field of intelligent property management and artificial intelligence application cross technology, and the method comprises the steps: collecting image data of a property management region, and carrying out the preprocessing of the image data based on a deep learning model, and obtaining a standardized property scene image; inputting the standardized property scene image into a pre-trained scene recognition model, extracting a scene feature vector, recognizing facility state information in a property area according to the scene feature vector, constructing a task priority scoring matrix, grading property maintenance tasks, and generating a task scheduling list; and allocating property maintenance personnel according to the task scheduling list, pushing task information to the maintenance personnel through the mobile terminal, and updating a task completion state in real time. According to the invention, a closed-loop management process from automatic problem sensing to task execution monitoring is constructed, intelligentization and refinement of property maintenance are realized, the management cost is reduced, and the service quality and the user satisfaction are improved.

The invention discloses a supply chain data management method, system and device based on the industrial Internet of Things and a medium, and relates to the technical field of industrial Internet of Things data processing, and the method comprises the steps: obtaining to-be-managed data and an inevitably managed region, obtaining region nodes, and obtaining a real-time load and historical transmission information; planning a data transmission path, obtaining a bearing index, obtaining the data transmission path with the bearing index smaller than a preset threshold value, and taking the data transmission path as a to-be-analyzed path; obtaining a dynamic risk score of each area node in the to-be-analyzed path based on the evaluation model, the real-time load, the historical transmission information and the inevitable management area, and obtaining the transmission cost of the to-be-analyzed path based on the constraint model and the dynamic risk score of each area node in the to-be-analyzed path; and obtaining the to-be-analyzed path with the lowest transmission cost, taking the to-be-analyzed path as a target transmission path, and transmitting the to-be-managed data according to the target transmission path. The method has the advantages of being good in data transmission planning effect, high in data transmission planning efficiency, stable and reliable.

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.

The present invention relates to the technical field of intangible cultural heritage publicity and management, and in particular to a regional intangible cultural heritage management method based on big data, comprising: step S1, collecting intangible cultural heritage information in the management area, and periodically collecting publicity information and browsing information; step S2, storing intangible cultural heritage information, publicity information and browsing information, and constructing management parameters; step S3, classifying the collected publicity information to obtain information categories; step S4, analyzing activity frequency parameters and normal characteristics; step S5, analyzing the remaining time of holding, and analyzing publicity characteristics according to the remaining time of holding, publicity information, information category and browsing information; step S6, analyzing browsing characteristics; step S7, analyzing the popularity of intangible cultural heritage; step S8, analyzing and outputting publicity suggestions. The method realizes accurate management of intangible cultural heritage publicity.

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 an unmanned aerial vehicle identification system based on an AC mode inquiry response type 2.4 GHz channel, which relates to the technical field of unmanned aerial vehicles and comprises a management system, ground station equipment and airborne end equipment, each ground station device periodically sends inquiry signals to the unmanned aerial vehicles in the range by adopting a 2420MHz frequency band broadcast inquiry mode; when the airborne end equipment receives the inquiry signal sent by the ground station equipment, a response signal is sent to the ground station equipment in a 2480MHz frequency band response mode, and the response signal is unmanned aerial vehicle identification data; the ground station device transmits the received unmanned aerial vehicle identification data to the management system, and the management system displays the unmanned aerial vehicle identification data in a management area, records the unmanned aerial vehicle operation data, and configures and displays the operation state of the whole unmanned aerial vehicle identification system. The technical problem that a traditional unmanned aerial vehicle identification mode cannot accurately identify and manage the unmanned aerial vehicle is solved.

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 smart city grading emergency supervision method and system based on an Internet of Things large model, and a medium. The method comprises the following steps: acquiring area information and emergency supervision data of a target management area corresponding to a lower-level management platform; based on the area information, determining a first weight factor corresponding to each type of emergency supervision sub-data in the at least one type of emergency supervision sub-data in the target management area; based on the first weight factor, determining the processing degree of each emergency supervision sub-data in a lower-level management platform, and determining the risk degree of the target management area; based on the processing degree of each kind of emergency supervision sub-data, a lower-level management platform is controlled to process the emergency supervision data; based on the risk degree, patrol parameters of the patrol equipment in the target management area are determined; and based on the patrol parameters, the patrol device is controlled to patrol on the patrol path at the patrol frequency. The method can accurately and effectively improve the response speed to important emergency events.

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 discloses a network security communication architecture and method for IT and OT fusion under a smart thermal power plant hyper-fusion architecture, and belongs to the technical field of industrial control fusion security. The architecture comprises an OPC server area, an intelligent controller area, a core switch, a network security management area and a hyper-convergence area. The OPC server area is connected with the core switch, and a firewall is arranged between the OPC server area and the core switch; the intelligent controller area is connected with the core switch, and a firewall is arranged between the intelligent controller area and the core switch; the hyper-convergence area is connected with the core switch, a firewall is arranged between the hyper-convergence area and the core switch, and the hyper-convergence area and the core switch are further connected with the three-area data center through a forward isolation gatekeeper. According to the invention, a set of standardized and highly feasible OT-IT communication architecture is constructed, the stability of the intelligent power plant production control system is improved, clear interaction logic in the fusion process is ensured, and the problem of systematic technical contradiction between disordered protocol conversion and protection strategy failure is solved.

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.

The invention relates to the technical field of project risk management, and discloses a power grid infrastructure project risk dynamic analysis and coping method and system. A management area is set, and construction progress management of a whitewashing engineering project is carried out on the management area; the whitewashing engineering project specifically comprises the steps of coating a wall with paint and detecting the flatness of a coated area; the management area is an indoor area where the whitewashing engineering project is not completed, a construction wall adjacent to one bearing column exists in the indoor area, and a gap exists between the construction wall and the bearing column; the construction wall is a wall where a whitewashing engineering project is not completed in the management area; setting monitoring equipment; and the monitoring equipment is an unmanned aerial vehicle with a camera and is used for detecting the coating completion degree of the construction wall and monitoring the coating flatness of the construction wall.

The invention discloses a smart card data processing method based on the Internet of Things, and relates to the technical field of data processing, the use data set of each smart card user in a management area is acquired through an Internet of Things cloud server, the confidence of each smart card user is obtained through analysis, and the data of each smart card user is acquired according to the confidence of each smart card user. The method comprises the following steps: determining and locking each confidential smart card user according to the information of the confidential smart card user, processing and analyzing to obtain a specified perception read-write distance of each confidential smart card user, and finally carrying out perception read-write adjustment control of an access control reader-writer on each confidential smart card user, and realizing acquisition and analysis of smart card data through the Internet of Things technology. And the sensing read-write distance of the access control reader-writer is automatically adjusted according to the analysis result of the intelligent card data, so that the safety and the convenience of a management area are improved, and the use experience feeling of an intelligent card user is fully guaranteed.

The invention relates to the field of energy storage system scheduling, in particular to an intelligent scheduling method for a flywheel energy storage system, which comprises the following steps: periodically acquiring the number of task execution equipment in a target management area and the equipment task conflict degree to determine the equipment execution state of the target management area; according to the equipment execution state of the target management area, determining a setting strategy of a key area, the setting strategy comprising determining the key area according to the distribution state of the target task point and the task completion degree, and determining the key area according to the task association coefficient of the key node and the related task conflict degree; according to the key area proportion and the key area change coefficient, whether energy storage transfer is carried out on the corresponding charging area is determined; and determining the number of flywheel energy storage nodes for executing energy storage transfer according to the key area proportion, and determining a target transfer node set according to the rotating speed coefficient of each flywheel energy storage node, thereby improving the power grid stability of the target management area.

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.

1. Name of the design product: Layer management area of the graphical user interface for picture editing of an electronic device. 2. Use of the design product: An electronic device. 3. Design points of the design product: The part of the graphical user interface in the electronic device that is claimed. 4. Picture or photo that best shows the design points: The front view of Design 1. 5. Design 1 is designated as the basic design. 6. Use of the graphical user interface: The graphical user interface is used for picture editing, and the claimed part of the graphical user interface is used for editing and managing the layers of pictures. The front view of Design 1 shows a layer management floating layer. The user can click on a layer to bring up more function buttons for layer management. The front view of Design 2 shows a layer management floating layer. By hovering the mouse over a layer in the layer management floating layer, the graphical user interface changes from the front view of Design 2 to the change state diagram of Design 2 to show more function buttons for layer management. The front view of Design 3 shows a layer management floating layer. By hovering the mouse over a layer in the layer management floating layer, the graphical user interface changes from the front view of Design 3 to the change state diagram of Design 3 to show a layer material recommendation floating layer. 7. Other circumstances that need to be explained: In the views of Designs 1 to 3, the dashed lines show parts of the graphical user interface and do not form part of the design claimed.

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.