85 results about "Community management" patented technology

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 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.

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 present invention discloses an autonomous network community management system based on blockchain technology. The network management system includes a customer identification module, a commodity sampling module, and a network navigation module. The customer identification module is used to identify the customer flow in each area of the community supermarket. The commodity sampling module is used to calculate the sales situation of the commodities on the floor stacks in each area. The network navigation module is used to move the positions of the floor stacks in each area according to the customer flow and the sales situation of each commodity floor stack. The customer identification module includes an infrared sensing module, a counting module, and a timing module. The commodity sampling module includes a quality sensing module and a popularity analysis module. The network navigation module includes a positioning module, an arrangement matching module, and a mobile navigation module. The popularity analysis module is electrically connected to the arrangement matching module. The present invention has the characteristic of controlling the movement of the floor stacks for placing commodities according to the actions of customers taking and putting back.

The application discloses a future community green energy collaborative storage scheduling and interaction method based on a starting cost function. The application unifies the indicators of the energy storage device itself, such as temperature, service life, charge and discharge times, state of charge (SoC) depth, quantifies the indicators into economic costs, and constructs a starting cost function together with economic indicators such as green electricity use subsidies and tiered electricity prices, and uses the function as the basis for whether the energy storage device starts power supply, thereby effectively improving the green energy collaborative storage scheduling and interaction level of the micro-grid in the future community, park, campus, school district, and promoting the low-carbonization or even carbon-free transformation of future community management.

The invention relates to the technical field of robots, in particular to an intelligent community management patrol robot which comprises a robot body, driving wheels, a disinfection treatment mechanism, a collection mechanism and a power mechanism. The driving wheel is fixedly installed below the machine body, the disinfection treatment mechanism is fixedly installed inside the machine body, the collection mechanism is fixedly installed in front of the machine body, and the collection mechanism drives a rake to rotate at a variable speed through eccentric rotation of a driving rotary disc and a driving rotary disc; the collecting mechanism and the power mechanism are matched through an internal assembly structure to achieve periodic material rolling and shoveling. The power mechanism is rotationally mounted on the side face of the machine body, the power mechanism drives the collecting mechanism to rotate at a reduced speed through power of a driving wheel through a belt, and the collecting mechanism is self-cleaned, so that it is guaranteed that after pet excrement is cleaned, the cleanliness of the collecting mechanism is guaranteed, the community environment is guaranteed, and the cleaning efficiency is improved.

This invention discloses a method and system for intelligent integrated management of safe communities, comprising: using a distributed big data platform for data aggregation and storage of massive community data resources connected to a unified management platform; extracting key community management indicators and business elements through data cleaning, correlation analysis, and other operations; constructing a multi-dimensional data model for command and dispatch, supporting flexible data query and analysis; and, based on the multi-dimensional data model, employing rule-based expert system technology to formally express the experience and decision-making logic of management personnel, constructing a community management knowledge base and rule base, and automating the execution of business logic through a rule engine, dynamically generating command and dispatch plans based on the real-time status of the community. This invention effectively solves problems such as information silos, low data utilization, and low command and dispatch efficiency in community management, achieving intelligent and refined community management.

The invention relates to the technical field of community management, in particular to a community management method and system based on artificial intelligence. The method comprises the following steps: obtaining an owner question content; analyzing the question content of the owner, and determining a question item; based on the question item, utilizing artificial intelligence to obtain item data; summarizing project bills according to the project data; and checking the project bill to obtain and display a final project bill. The problems of delay and fragmentation of manual association of data sources are eliminated, the integrity and consistency of project data are ensured, data missing or conflicts are reduced, and traceability is enhanced. The problems of error proneness and static account division depending on manual summarization are avoided, the accuracy and dynamic adaptability of bills are improved, and the error rate is reduced. The project bill is checked, and the final project bill is obtained and displayed, so that the problems of omission and low efficiency of manual checking are avoided, the accuracy and the displayability of the final project bill are ensured, real-time and safe publicity is realized, the transparency is improved, and the owner trust is enhanced.

This invention discloses a smart property work order data management method based on the Internet of Things (IoT), relating to the field of smart community management technology. The method includes: matching fingerprinted event packets with a smart community work order database; employing multi-stage matching and filtering to construct a structured work order dataset; aggregating the dataset along spatiotemporal dimensions to form a structured evidence chain; and writing the chain into a community work order data lake after integrity verification. A quality control process is triggered based on verification tags to detect field missing rates, fingerprint duplication rates, and event temporal consistency, generating work order data packets and registering them in the smart community property big data lake repository. This invention uses a multi-dimensional spatiotemporal semantic verification algorithm to jointly assess spatial topological consistency and event causal semantic coherence, generating quantifiable quality verification tags. This ensures the structural integrity and semantic reliability of work order data before it is written into the big data lake repository, providing high-fidelity data support for the automated operation and maintenance of smart properties.

The invention discloses an intelligent industry committee comprehensive management method and device, and relates to the technical field of intelligent community management, and the method comprises the steps: obtaining the data inputted by a user through an interaction interface, and the user comprises an owner or an industry committee member; analyzing the data through a natural language processing technology, and determining a request type of the data; when the request type of the data is an information query request, calling a retrieval algorithm driven by a knowledge graph to match a local database, determining target information and an operation flow chart corresponding to the information query request, and returning the target information and the operation flow chart to the interactive interface; when the request type of the data is a management operation request, performing multi-factor authentication to confirm the identity; and after the multi-factor authentication is passed, the management operation request is executed, and the operation result is synchronized to the local database through the block chain smart contract, and through fusion of multiple advanced technologies, the efficiency, security and intelligent level of community management are significantly improved, and transparency of community information is kept.

The invention provides a community micro-brain digital analysis system and method for urban governance, and relates to the technical field of urban community governance, and the method comprises the steps: collecting multi-source heterogeneous data of urban community public facilities, constructing a facility digital model in a community micro-brain system, and recording health reference data; detecting according to a preset period through the digital sensor network of the key part of the facility to obtain a waveform sequence reflecting the internal state change; through comparison with health reference data, a waveform change rule is identified, a state change track is established, and a health quantitative index is generated according to a waveform attenuation degree and morphological distortion characteristics; and the system performs multi-dimensional correlation analysis on the indexes and the multi-source heterogeneous data, generates a treatment strategy containing maintenance priority and resource allocation suggestions, transmits the treatment strategy to a community management platform to form an allocation scheme, and displays the full-life-cycle state of the facility in a digital model, so that the full-life-cycle intelligent monitoring and treatment optimization of the community facility can be realized.

The present invention relates to the technical field of community management, and discloses a management system for comprehensive governance of smart communities, including: a multi-modal data feature acquisition and fusion module; a topic evolution analysis module; a cognitive model construction module; a guidance strategy generation module; an emotion impact assessment module. By integrating multi-modal monitoring information analysis, cognitive intervention, and emotion regulation technologies, the present invention realizes the scientific and precise governance of community monitoring information, effectively improves the scientificity, initiative, and precision of monitoring information governance, promotes the harmonious and stable development of the community, and provides technical support for building an inclusive and trustworthy community environment.

The invention relates to the technical field of community management, and particularly discloses a data management method and system applied to a smart pension community, and the method comprises the steps: obtaining original health data, and preprocessing the original health data into a health data record; dividing the health data record into a plurality of data blocks, and calculating a hash value of each data block; establishing or incrementally updating a Hash tree by using the Hash value of the data block, and taking a root Hash value of the Hash tree as a data fingerprint; the data fingerprint is sent to a data integrity registration center, and the health data record is stored in a central server; when a retrieval request about the health data record is received, performing integrity verification on the decrypted health data record based on the data fingerprint; according to the method, the tampering risk possibly faced by the health data of the smart old-age care community in the whole life cycle is solved, and the integrity guarantee and credibility of the data are improved.