125 results about "Community management" patented technology

The invention provides a community management method and system based on an unmanned aerial vehicle, electronic equipment and a storage medium, and relates to the field of community management. The method comprises the steps of obtaining an initial inspection task of an unmanned aerial vehicle cluster and planning an inspection route, and controlling the unmanned aerial vehicle cluster to execute inspection operation to obtain multi-source inspection data. And constructing a community portrait based on the inspection data, identifying community management hidden dangers through a classification reasoning model, and generating an early warning event and a processing task. A processing task is decomposed into hierarchical sub-tasks by utilizing an ontology reasoning framework, a task execution main body is selected, and a task set is generated. And a multi-Agent reinforcement learning framework is adopted to carry out space-time collaborative arrangement on the task set to form an overall collaborative scheme, the overall collaborative scheme is converted into an interpretable scheduling decision instruction, and finally the unmanned aerial vehicle is controlled to execute the task. According to the technical scheme, the emergency response speed of security and protection and the capability of coping with complex conditions are improved.

The invention discloses an intelligent comprehensive management method and system for a safe community, and the method comprises the steps: carrying out the data aggregation and storage through a distributed big data platform for massive community data resources accessed to a unified management platform, extracting key community management indexes and business elements through the operation of data cleaning, correlation analysis and the like, and carrying out the data collection and storage. A command and dispatch-oriented multi-dimensional data model is constructed, and flexible data query and analysis are supported; on the basis of a multi-dimensional data model, a rule-based expert system technology is adopted, experience knowledge and decision logic of managers are subjected to formalized expression, a community management knowledge base and a rule base are constructed, automatic execution of business logic is achieved through a rule engine, and a command and dispatch scheme is dynamically generated according to the real-time state of a community. The problems of information isolated island, low data utilization rate, low commanding and dispatching efficiency and the like in community management are effectively solved, and intelligence and refinement of community management are realized.

The application discloses a smart community management service system, and particularly relates to the field of service management, comprising a perception layer module, a communication layer module, a data processing layer module and an application layer module; the application realizes global intelligent management through the collaborative architecture of the perception layer module, the communication layer module, the data processing layer module and the application layer module; the perception layer is deployed with multi-source heterogeneous sensors, and data preprocessing is conducted in combination with edge computing; the communication layer adopts multi-protocol fusion transmission, supports 5G+NB-IoT dual-channel redundancy and end-to-end encryption; the data processing layer is based on a cloud-edge collaborative architecture, uses Kalman filtering denoising, D-S evidence theory fusion conflict information, LSTM-Attention prediction device failure, and constructs a digital twin simulation optimization energy consumption; the application layer provides a three-dimensional visual management and control platform, integrates security linkage, air conditioner group control strategy driven by reinforcement learning and convenient service scheduling, and supports cross-platform access and RBAC permission management.

The invention relates to the technical field of community management, in particular to a dynamic monitoring analysis method and system for vehicles in an intelligent community, and the method comprises the steps: collecting multi-source data through a sensor, and generating structured sensing data through a lightweight OCR algorithm; calculating the real-time weight of each sensor by using a self-adaptive dynamic weight algorithm according to the structured sensing data in combination with environmental parameters and equipment states, calculating fusion confidence through a feature confidence fusion formula, rejecting unqualified data, and generating high-precision sensing data; constructing a community digital twinning scene, performing anomaly judgment through a dynamic threshold algorithm, positioning a fault through a three-level mechanism, generating a configuration updating instruction, and generating system state data; and inputting the high-precision sensing data, the system state data and the historical vehicle violation records into the game theory model to calculate the vehicle violation probability, and generating a differentiated management strategy according to the vehicle violation probability. According to the scheme, precise management of community vehicles is realized through multi-source fusion and hierarchical association.

The invention relates to the technical field of community management, in particular to an intelligent community service management method and system based on cloud computing, and the method comprises the following steps: S1, collecting community multi-dimensional data in real time through a heterogeneous data collection terminal; s2, constructing an edge-cloud cooperative processing framework; s3, implementing intelligent video analysis; s4, realizing data-driven resource scheduling; and S5, establishing an intelligent storage system. According to the invention, omnibearing perception of a community environment is realized through a multispectral camera and a distributed sensor network, data processing efficiency is improved by adopting an optimized lightweight algorithm and an edge-cloud collaborative architecture, and a visual decision platform is constructed in combination with adaptive resource scheduling and an intelligent analysis technology. A closed-loop management system integrating real-time monitoring, intelligent early warning and accurate operation and maintenance is formed, the community management efficiency is improved, the operation cost is reduced, stable operation of the system is guaranteed through multiple safety mechanisms, and an intelligent solution is provided for modern community services.

The invention relates to the technical field of community management, and discloses an intelligent community management system based on cloud service. The system comprises a community basic data management module, a building structure information module, a public equipment monitoring module, a cloud data interaction module and a user authority management module. The community basic data management module maintains community static information and dynamic records; the building structure information module stores building physical attribute data and resident association information; the public equipment monitoring module collects real-time operation state data and historical performance indexes of public equipment; the cloud data interaction module realizes local and cloud data transmission synchronization; and the user permission management module allocates operation permissions according to preset role types. The system realizes data integration, equipment monitoring, authority specification and cloud interaction in a community management process through multi-module cooperation, and is suitable for efficient operation of a community management background.

The invention relates to the field of intelligent management, data science and community services, in particular to a future community service intelligent management method and system based on big data, and the method comprises the core processes of data collection, feature extraction, intelligent agent task scheduling, resource optimization and the like. Feature data which can be used for analysis are generated through data fusion; analyzing a resource use state in real time by using a deep learning technology, and generating resource recommendation data; three-dimensional visual display is carried out through the holographic data management platform, and a decision maker can quickly identify problems and make adjustments; according to the invention, the efficiency and quality of community service are improved through intelligent regulation and control, and scientific basis and technical support are provided for community management.

The invention provides a community crowd data analysis method and system based on an agent map and a medium. The method comprises the steps of obtaining a multi-source heterogeneous data set in a preset time period in a community through a data acquisition module, performing preprocessing to obtain an optimized multi-source heterogeneous data set, extracting feature data of an intelligent agent, querying through a preset behavior rule and habit database to obtain daily behavior data of the intelligent agent, and storing the daily behavior data of the intelligent agent. A community crowd agent model is obtained through an agent construction module, a community crowd agent map is obtained through an agent map construction module after a relation edge of the community crowd agent model is obtained, the community crowd agent map is processed through a data analysis module, community crowd feature data are obtained, and visual output is carried out. Community planning and management are further optimized; therefore, the scientificity and accuracy of community management and service are improved on the basis of community crowd analysis.

The invention relates to the technical field of urban governance algorithms, and particularly provides an alarm method and device for illegal operation of a storage battery, and the method is based on machine vision, and comprises the following steps: S1, obtaining a community monitoring video stream, converting the obtained monitoring video stream into an image frame sequence, and carrying out the preprocessing of the image frame sequence; s2, extracting a human body detection frame and key point coordinates from the image frame sequence by using a human body posture estimation algorithm, and evaluating whether a user has an action of bending down to disassemble or assemble the storage battery; s3, integrating a storage battery target detection algorithm to determine the position of the storage battery in the frame sequence, and judging that the user carries the storage battery illegally; and S4, introducing a storage battery tracking algorithm to continuously track the storage battery target, and determining that the user carries the storage battery to move, and giving an alarm. Compared with the prior art, the intelligent level of illegal storage battery carrying and alarm in the community can be effectively improved, and standardization and safety of community management can be guaranteed.

The invention provides an intelligent community management robot system based on an artificial intelligence technology, and belongs to the technical field of intelligent community robots, and the system comprises a community data automatic sensing module which is used for automatically sensing and collecting community data, and obtaining multi-modal data; the multi-modal data integrated management module is used for performing centralized management and processing on the acquired multi-modal data to obtain single information flow data; the sustainable artificial intelligence calculation module is used for carrying out intelligent calculation and analysis on the single information flow data, identifying community service requirements, optimizing a service process and outputting an instruction of the community service requirements; the community governance service function module is used for providing intelligent services; and the community robot task execution module is used for providing a human-computer interaction interface and executing intelligent service according to the instruction required by the community service. The intelligent community management robot system solves the problems that the service function of an existing intelligent community management robot system is difficult to achieve, the resident participation degree is low and the intelligent degree is low.

The invention relates to the technical field of smart pension, and discloses a pension community management method, system and device and a storage medium. The method comprises the steps of obtaining platform information of each old-age care group management platform, obtaining community information of each old-age care community operation platform, determining a target old-age care community operation platform connected with each old-age care group management platform according to the platform information and the community information, and sending the target old-age care community operation platform to the old-age care group management platform. And sending the target push information of the old-age care group management platform to a target old-age care community operation platform corresponding to the old-age care group management platform, and issuing the target push information to a target user corresponding to the target old-age care community operation platform. The management efficiency and the service quality of the pension community can be improved.

The invention relates to the technical field of intelligent questions and answers, in particular to an intelligent community service questions and answers method, system and equipment, which provide a powerful daily work auxiliary tool for social workers by integrating natural language processing and machine learning technologies, collect and analyze data such as problem pain points faced by the social workers and community complaint-receiving and instant-case-handling and the like, and provide an intelligent community service questions and answers. According to the method, real-time question answering service is provided for social workers, the working efficiency and the problem solving ability of the social workers are remarkably improved, in addition, the social workers and community managers are helped to make more scientific and accurate decisions through data-driven decision support, and therefore the quality of community service and the satisfaction degree of residents are improved.

The invention discloses a method and device for managing deliverymen in a community, and the method comprises the steps: obtaining order information, and carrying out the analysis of the order information, and obtaining address information; authenticating the address information by using a first management condition, and when the address information meets the first management condition, acquiring biological recognition information of a deliveryman; authenticating the biological recognition information by using a second management condition, and when the biological recognition information meets the second management condition, determining a corresponding behavior permission for the deliveryman; through address authentication and identity authentication, high-automation management for the deliverymen is realized, legality and normalization of the deliverymen entering the community are ensured, execution efficiency of community management and delivery tasks is also improved, service experience is improved, and interference of the deliverymen on daily life of the community is also avoided.

The invention provides a community resident behavior prediction speculation method based on Internet of Things gateway pre-processing, and the method comprises the steps: dynamically monitoring the behavior characteristics of community residents through an industrial system, carrying out the behavior single-state supervision in advance on a distributed industrial gateway, and combining the recognition speculation service of a background for behaviors, thereby achieving the prediction of the behaviors of the community residents. And based on the historical travel sequence big data of the community residents, speculating a behavior prediction result matched with the spatial-temporal characteristics of the community residents, and recording and storing the behavior prediction result. The computing power of behavior monitoring of a background can be distributed on a leading-edge gateway server, the background pressure is reduced, the background does not need to generally process behavior data of community residents, only the singlet behavior characteristics need to be supervised, and the gateway is notified to carry out characteristic joint sampling after the singlet behavior characteristics are found to be alarm behavior characteristics. And finally, behavior prediction analysis is performed according to the fused spatial-temporal characteristics of the community residents, so that dynamic and multi-modal safety management is realized, resident behaviors are tracked, predicted and managed through diversified AI identification, and intelligent community management is realized.

The invention relates to a cell dynamic portrait generation method and system based on spatio-temporal data mining, and the method solves the problems of data collaborative fault, scene response lag and group identification misalignment in the prior art by fusing multi-frequency data and group behavior characteristics. The method specifically comprises the following steps: performing hierarchical processing on access control, garage and environment sensor data, and constructing high-frequency, intermediate-frequency and low-frequency data sets; dynamic weight distribution is generated through timeliness compensation and missing value filling, and group behavior characteristics are extracted by combining movement track analysis; triggering a scene classification mechanism based on data anomaly detection, and adaptively adjusting weight parameters; and finally, scene features and behavior patterns are fused to generate a cell dynamic portrait, real-time visualization of people flow distribution and resource use states is realized, and the method improves the response efficiency to emergencies and the public service resource configuration precision in community management.

The present invention relates to the field of data processing technology, and in particular to a smart community integrated management platform based on big data analysis, comprising: a communication load analysis module, which obtains load data of the community network by analyzing the types and quantities of various terminals accessing the community base station within a preset time period; a special node positioning module, which identifies special network nodes in the community by dividing special service IP addresses and monitors the network behavior of special network nodes by setting data acquisition rules; a monitoring terminal connection module, which obtains data of each monitoring terminal by connecting to the community monitoring network; and a comprehensive management module, which determines whether there is a security vulnerability in community management by analyzing the matching degree between various terminal access characteristics, special node data flow characteristics and personnel flow characteristics, and outputs an alarm signal.

The invention discloses a community management system based on a VR scene, and belongs to the field of information technology and community management. The system comprises a data acquisition and storage module, a VR scene construction module, a user interaction module, an intelligent monitoring module, a virtual property management module, a data analysis and prediction module, a community event simulation module and a system security module. Through cooperative operation management among the modules, the visualization, intelligence and interactivity of community management are improved, and the system can be widely applied to management and service of modern communities.

The invention relates to the technical field of environment management, and discloses a smart community environment monitoring and regulation system which collects data such as air quality, noise, temperature and humidity, garbage overflow and energy consumption in real time through a plurality of monitoring points. The core of the system is a data processing center which comprises a communication interface layer, a service processing layer, a data access layer and a data storage layer, and comprehensive and efficient processing of data is achieved. The communication interface layer provides stable connection service through the gateway module; the service processing layer adopts a distributed architecture and supports the functions of data acquisition, preprocessing, fusion analysis and the like; the data storage layer is responsible for real-time caching and persistent storage of data; and the data access layer ensures the safety and stability of data read-write operation. The user interaction interface displays environment data in real time and supports a community manager to make scientific regulation and control decisions. According to the invention, the accuracy and real-time performance of environment monitoring are improved, the data management and processing capability is optimized, and the construction and development of a smart community are promoted.

Provided is a community management method including: receiving, from a first terminal, a generation request for a standby community; generating the standby community including a user of the first terminal as a participant, according to the generation request for the standby community; and generating a regular community including participants of the standby community as members in response to a number of the participants of the standby community reaching a target number of the standby community, wherein a writing function is restricted in the standby community and allowed in the regular community.

The invention belongs to the field of smart communities and artificial intelligence, and particularly relates to a community life service agent system, which comprises a data acquisition module used for acquiring multi-modal original data in a community, and an edge decision module comprising a data fusion unit, a workflow engine unit, an RAG enhancement unit and a code generation unit, the intelligent workflow generating module is used for performing fusion analysis and matching on the sensing data or dynamically generating an intelligent workflow and generating a decision instruction; and the terminal execution module is used for receiving and executing the decision instruction and feeding back a result. According to the method, the existing sensing equipment of the community is reused, and a'sensing-decision-execution 'closed loop is constructed on the edge side, so that active and intelligent services of community management are realized, and the deployment cost and the data security risk are remarkably reduced at the same time.

The application discloses a kind of big data-based intelligent community management method and system, it is related to data processing analysis technical field, including the type analysis of all data of intelligent community, determine high-frequency accident and high-frequency accident occurrence position;High-frequency accident and high-frequency accident occurrence position are analyzed, and the characteristics of high-frequency accident occurrence are determined.The application first is to the type analysis of all data of intelligent community, determine high-frequency accident and high-frequency accident occurrence position, then, by the data analysis of all high-frequency accident occurrence position data, determine high-frequency accident occurrence characteristics, finally, by high-frequency accident occurrence characteristics, the characteristics of all regions of intelligent community are matched, determine the area that needs to be monitored, the above-mentioned mode not only realizes the prediction of high-frequency accident occurrence position of intelligent community, but also monitors high-frequency accident occurrence position, when accident occurs, the position of accident can be determined in time, avoid causing greater damage to intelligent community.

The invention discloses a high-cohesion and low-coupling intelligent community management system, and the system comprises a transaction link table which comprises an ID and is used for assigning a unique number to each piece of transaction information; comprising a population model, the population model comprises a personnel community table, and the personnel community table is linked with a transaction link table through IDs and is used for providing personnel information of associated personnel under a current transaction, and the personnel information comprises personnel IDs and node IDs; a personnel dimension table is linked through the personnel ID, and personnel information is recorded in the personnel dimension table; linking the node information dimension table of the current personnel at the current node through the node ID; comprising an activity management model, the activity management model comprises a task detail characteristic table, and the task detail characteristic table is linked with a transaction link table through an ID, is used for providing information of an associated task activity under a current transaction, and comprises an activity ID; linking an activity information dimension table through the activity ID, wherein the activity dimension table records corresponding activity details; and under any piece of transaction information in the transaction link table, respectively linking the personnel community table, the activity detail table and the characteristic table through the ID, so that the personnel information and the activity information corresponding to the current transaction are associated.

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 relates to the technical field of intelligent community management and service, and discloses an intelligent community comprehensive command center scheduling system, which comprises a private domain agent command scheduling service station, a local and trusted intelligent scheduling center, a private domain agent command scheduling service station and a private domain agent command scheduling service station, the service station comprises a data fusion module, a task analysis module, a resource matching module, a communication coordination module and a feedback evaluation module; and the community intelligent housekeeper node is deployed in a community public area, is in communication connection with the commanding and dispatching service station, and is used for acquiring community environment data, resident behavior data and public facility state data and executing a dispatching instruction from the service station. Through a three-level architecture of a private domain agent commanding and dispatching service station-community intelligent housekeeper node-household intelligent housekeeper terminal, the intelligent decision-making capability is extended from the center to the edge and the terminal, the load pressure of a central server is reduced, and rapid sensing and accurate response of community public affairs and household private domain demands are realized.

The invention relates to a community event processing method and system and a terminal, and belongs to the technical field of data processing.The community event processing method comprises the steps that event information reported by a grid member is received; a feature vector is generated according to the event information, a corresponding weight is matched for each feature in the feature vector, and the features in the feature vector comprise the number of people involved in the public, the cross-department relevance and the emergency degree; calculating a comprehensive event value according to the feature vector and the weight of feature matching; generating a routing decision result according to the comprehensive event value; and assigning the assembled event task packet according to the routing decision result. The method has the beneficial effects that events can be objectively evaluated and decided, and community management behaviors are standardized.

The application discloses a future community management system and method based on Internet of Things, and relates to the field of intelligent management.The system is composed of a plurality of function modules, including: an identity recognition module, which acquires facial images and audio data; facial recognition and age interval judgment are performed according to the facial images; an audio data extraction module, which utilizes an attention mechanism to fuse time-frequency dual-channel features, constructs anti-interference footstep sound features, and obtains footstep data; audio energy values, zero-crossing rates and moving speeds are extracted from the footstep data; footstep intervals are calculated according to the zero-crossing rates; feature vectors are synthesized based on the audio energy values and the age intervals, and are used as inputs of a model, are divided into three groups of sets, and are randomly sampled; a plurality of points in a hyperparameter space are selected for evaluation; a supervised learning model is used to judge the physical state of the personnel entering and exiting; the physical state, the moving speed and the footstep interval are acquired.

The invention provides a comprehensive management method and system for a smart community, and the method comprises the steps: collecting multi-modal basic data which comprises weather data, building data, elevator data, vehicle data, plant growth data and network power water supply pipeline data; based on a pre-trained first model and a pre-trained second model, processing the multi-modal basic data to obtain multi-modal information data; acquiring community basic data, constructing a community digital twinborn model based on the multi-modal information data and the community basic data, and displaying the community digital twinborn model in real time; and performing early warning and processing on community abnormity based on the multi-modal information data. The multi-modal data is collected and is processed based on the first model and the second model, so that the community management comprehensiveness and accuracy are improved.

The invention discloses an intelligent community management system based on artificial intelligence, and relates to the field of intelligent community management, and the intelligent community management system comprises a scene perception pre-judgment module, a resource dynamic scheduling module, a man-machine cooperation interaction module and a full-period data closed-loop module, the scene perception pre-judgment module is a core data input end, and the full-period data closed-loop module is a core data output end. The information acquisition module is responsible for acquiring community multi-dimensional information and pre-judging a potential scene and providing a decision basis for subsequent modules; and the resource dynamic scheduling module is used for undertaking a result of the scene perception pre-judgment module and realizing adaptive allocation of human and material resources of the community. According to the intelligent community management system based on artificial intelligence, active risk avoidance and demand response can be realized, through the multi-modal fusion acquisition and behavior intention pre-judgment sub-module of the scene perception pre-judgment module, the existing passive alarm limitation is broken through, the problem can be recognized in advance, sufficient time is reserved for disposal, and the risk avoidance and demand response can be realized. The community safety risk and the resident life inconvenience are reduced.

This invention discloses a smart community management method and system based on a 3D scene. The invention relates to the field of smart community management and includes the following steps: S1: Dynamic twin construction of the 3D scene, creating a dynamic 3D scene synchronized with the physical community in seconds, rather than a static model, ensuring accurate implementation of management actions; S2: Triggered perception and linkage of the 3D scene; S3: Dynamic resource scheduling optimization of the 3D scene, dynamically adjusting the community management resource configuration based on the real-time status of the 3D scene; S4: Iterative optimization of the 3D scene management effect. This invention's smart community management method and system based on a 3D scene, through dynamic twin modeling and scene-linked perception and early warning, constructs a synchronization system between the physical community and the 3D scene, replacing the manual inspection trigger mode. Abnormal situations can be automatically located, instructions generated, and synchronously fed back, thus significantly shortening the early warning and response time and improving technical linkage.

The invention relates to the technical field of data processing, in particular to a smart community comprehensive management platform based on big data analysis, which comprises a communication load analysis module for acquiring load data of a community network by analyzing the types and the number of various terminals accessed to a community base station within a preset time period; the special node positioning module identifies special network nodes in a community by dividing a special service IP (Internet Protocol), and monitors network behaviors of the special network nodes by setting a data acquisition rule; the monitoring terminal connection module is used for acquiring data of each monitoring terminal by being connected with a community monitoring network; and the comprehensive management module judges whether security vulnerabilities occur in community management or not by analyzing the matching degree among the access characteristics of the various terminals, the data traffic characteristics of the special nodes and the personnel flow characteristics, and outputs an alarm signal.