32 results about "Community management" patented technology

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 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 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 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 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 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 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 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.

A digital community management information display screen disclosed by the present invention comprises an information display screen main body and a cross beam frame located above the information display screen main body, the top of the cross beam frame is fixedly provided with a protective ceiling, the rear end of the right side of the bottom of the cross beam frame is fixedly provided with a right support frame, and the rear end of the left side of the bottom of the cross beam frame is fixedly provided with a left support frame; and the information display screen main body is fixedly mounted between the right support frame and the left support frame. According to the digital community management information display screen, dust on the information display screen main body can be conveniently and quickly cleaned, and a cleaning brush and a cleaning brush can perform left-right cleaning, up-down cleaning and forward and reverse rotating cleaning at the same time, so that uniform and sufficient cleaning can be realized; the trouble that people need to clean manually in the prior art is avoided, the cleaning and using process is safer and faster, and it is ensured that cleaning is more sufficient and more uniform, and the effect is better.

The invention provides a community unmanned selling vehicle precise distribution system based on enterprise platform docking, and the system is constructed based on the enterprise platform (community management platform) of an applicant, and achieves the precise distribution of the community unmanned selling vehicle through a handover mode of third-party distribution and a local robot. The handover process that the local robot receives the articles from the third-party delivery hand at the doorway and continues to deliver the articles to the users in the community is achieved. The system is in butt joint with an enterprise platform to receive orders, sell cars are configured according to community density, and after goods are taken from shops or property managers, routes are planned through a route optimization algorithm, and the goods are automatically delivered to owners. According to the invention, the community delivery efficiency is improved, the labor cost is reduced, and the user experience is improved.

The application relates to the technical field of smart old-age community management, and particularly discloses a method and system for managing abnormal conditions in a large smart old-age community, wherein the method comprises the following steps: monitoring environment information, physiological information and position information in real time; screening out environment mild abnormal information and physiological mild abnormal information based on preset judgment rules; combining the environment mild abnormal information according to a preset area division rule to form an area environment information set; inferring an abnormal cause according to the area environment information set; generating an abnormal influence path graph according to the abnormal cause and the area environment information set; and generating early warning information according to the position information, the physiological mild abnormal information and the abnormal influence path graph. The method improves the management capability of the smart old-age community for complex abnormal conditions through a unique comprehensive analysis and visual early warning mechanism, can discover potential risks earlier, can more accurately locate the root cause of problems, and can effectively protect the life and property safety of old residents.

The invention discloses a community micro-brain data integration system connected with a city brain, and relates to the technical field of intelligent communities and city digital governance. Comprising a demand analysis and data system standardization module, a community micro-brain overall architecture and information model construction module, a community micro-brain component development and interface design module, a community micro-brain and urban brain connection module and a multi-level visual rendering presentation module which are connected in sequence. A community micro-brain framework development and module packaging extraction module; and a basic-level community management digital system development realization module. According to the method, standardized management of community governance total-factor data is realized by constructing a standardized data identifier and system.

The invention discloses a behavior recognition and credit linkage method and system for civilized dog raising, and particularly relates to the field of automatic community management, and the method comprises the following steps: S1, collecting video stream data including a dog raising person and dogs in real time through monitoring equipment disposed in a community public area; s2, processing the video stream data by using a target detection and behavior recognition model based on deep learning, and automatically recognizing and classifying civilized dog raising behaviors and uncivilized dog raising behaviors; the uncivilized dog raising behavior at least comprises dog walking without rope pulling and pet excrement cleaning. According to the behavior recognition and credit linkage method and system for civilized dog breeding, through the monitoring equipment deployed in the community public area and in combination with the CASL-YOLO model based on deep learning, uncivilized behaviors such as no rope pulling and no excrement cleaning during dog walking can be accurately recognized in real time, and the accuracy of the behavior recognition and credit linkage of the civilized dog breeding is improved. The problems that a traditional manual supervision mode is low in efficiency and limited in coverage are effectively solved, and the intelligent level of community management is improved.

The system according to this embodiment aims to improve the IT literacy of elderly people. [Solution] The system according to the embodiment comprises a learning plan generation unit, a dialogue unit, a guide unit, a security education unit, a collaboration unit, and a community management unit. The learning plan generation unit generates a learning plan. The dialogue unit engages in dialogue based on the plan generated by the learning plan generation unit. The guide unit provides practical guidance based on the information obtained by the dialogue unit. The security education unit provides security education based on the guidance provided by the guide unit. The collaboration unit collaborates with families based on the education provided by the security education unit. The community management unit manages the community based on the information obtained by the collaboration unit.

The invention relates to the technical field of smart pension community management, and particularly discloses an abnormal condition management method and system applied to a large smart pension community, and the method comprises the steps: monitoring environment information, physiological information and position information in real time; screening out environment mild anomaly information and physiological mild anomaly information based on a preset judgment rule; combining the environment light anomaly information according to a preset region division rule to form a regional environment information set; deducing an abnormal reason according to the regional environment information set; generating an exception influence path diagram according to the exception reason and the regional environment information set; generating early warning information according to the position information, the physiological mild anomaly information and the anomaly influence path diagram; according to the method, through unique comprehensive analysis and a visual early warning mechanism, the management capability of the intelligent old-age care community on complex abnormal conditions is improved, potential risks can be found earlier, the root of a problem can be positioned more accurately, and the life and property safety of old-age residents is effectively protected.

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 discloses an electric vehicle building entering recognition and credit punishment linkage system and method, and particularly relates to the technical field of community management, and the system comprises an image collection and target association detection unit, a vehicle owner identity recognition unit, a credit punishment linkage unit, and a data management and privacy protection unit. According to the electric vehicle building entering recognition and credit punishment linkage system and method, an image acquisition and target association detection unit adopts a YOLOv5 model, is matched with three groups of exclusive anchor frames generated based on the size of a community electric vehicle bounding box, and doubly screens a key frame containing a moving target in combination with a background subtraction method and an optical flow method; the electric vehicle and pedestrian detection precision is improved; the vehicle owner identity recognition unit can enable the face detection recall rate to be greater than or equal to 92% in a sheltered scene through an optimized RetinaFace model, and a precise association link of electric vehicle-pedestrian-vehicle owner is constructed in combination with data set pre-training and community face data set fine adjustment.

The system according to this embodiment aims to provide appropriate learning opportunities and social connections to children who are not attending school. [Solution] The system according to this embodiment comprises a learning plan planning unit, a progress analysis unit, a lesson provision unit, a community management unit, and an interaction promotion unit. The learning plan planning unit creates a learning plan tailored to each child. The progress analysis unit analyzes and provides feedback on the progress based on the learning plan created by the learning plan planning unit. The lesson provision unit provides high-quality lessons for each subject based on the progress analyzed by the progress analysis unit. The community management unit creates online communities based on the students' interests and themes based on the lessons provided by the lesson provision unit. The interaction promotion unit promotes interaction among students based on the communities created by the community management unit.

We provide an AI robot system with community management capabilities and a method for operating it. [Solution] The system is equipped with a cloud server that provides a database containing multiple AI robot models. The operation method involves generating multiple AI robots, each with its own appearance image, from the multiple AI robot models, deploying them to social media, and generating community activity data while building community relationships between multiple users and multiple AI robots within the social media. By operating the generating artificial intelligence, each AI robot generates community content based on its attributes and the aforementioned community relationships.

The invention provides an intelligent community planning management method and system. The method comprises the steps of analyzing community geographic information, and reasonably planning community layout and resource configuration; the operation state of community facilities is intelligently monitored, and remote management and fault early warning are achieved; big data analysis is carried out to provide a scientific decision basis for community planning and management; the system comprises a GIS (Geographic Information System) data processing module, an Internet of Things equipment monitoring module, a cloud computing big data analysis module, an artificial intelligence prediction module, an integration module, an automation module and a user interface module, improves the efficiency and accuracy of community management, and improves the safety of the community. Meanwhile, detailed data support is provided for community planning, the time from problem finding to problem processing is shortened, risks faced by a community are reduced, more personalized services are provided for community users, the operation state of equipment is mastered in real time, and fault early warning and maintenance are carried out in time.

The embodiment of the invention provides a community management method and device, electronic equipment and a storage medium, which are applied to the fields of group management, cloud technology and the like, and the method comprises the following steps: in response to a trigger operation of a management group creation control in a permission setting interface for a community, displaying a first permission setting area for performing management permission setting for the community, the second permission setting area is used for setting management permissions for topic groups in the community, responding to management permission setting operation received through at least one permission setting area to obtain management permissions corresponding to the management group, and responding to management member setting operation received through a member setting area of the management group to obtain management permissions corresponding to the management group. The management members of the management group are displayed, and the management members of the management group have the management authority corresponding to the management group. Based on the method, differentiated management of the communities and the topic groups under the communities is realized, so that community management is more flexible and convenient.

The application belongs to the technical field of intelligent community management, and particularly relates to an intelligent community management system and a control method of the intelligent community management system. The application comprises a comprehensive control center, a comprehensive security management subsystem, a traffic management subsystem, a device management subsystem, an energy management subsystem, an environment management subsystem, a public broadcasting subsystem, an information publishing subsystem and intelligent equipment. The comprehensive control center, the intelligent equipment and the various subsystems are communicatively connected through the Internet of Things. The comprehensive security management subsystem comprises a comprehensive security management control center, a video monitoring subsystem and a high-altitude object throwing prevention and control subsystem. The video monitoring subsystem is used for collecting video images of public areas of the intelligent community and analyzing and processing the collected video images. The application can improve community management efficiency and timely discover security events in the community.

The application discloses an industrial worker community integrated intelligent management method and system, relates to the technical field of intelligent management, and comprises the following steps: constructing a community management interaction network, extracting a plurality of event nodes and corresponding text description information, correlating and extracting a plurality of personnel nodes and a plurality of facility nodes in the community management interaction network based on the plurality of text description information, obtaining a plurality of event node correlation subnetworks, integrating and constructing event node structure characteristics, and performing double structure embedding perception to construct a plurality of aggregated event node perception sets; the virtual-real linkage of the plurality of aggregated event node perception sets is discriminated respectively, a plurality of discrimination results are obtained, and integrated linkage response management is performed on the industrial worker community. The application solves the technical problem that in the prior art, multi-source event information in an industrial worker community is difficult to accurately distinguish between real events and false events, and achieves the technical effects of improving event authenticity discrimination accuracy and guaranteeing community linkage response reliability.

The invention discloses a smart community management platform based on the Internet of Things, which comprises a first management module and a second management module, and is characterized in that the first management module is used for collecting monitoring images of monitoring equipment in a community, processing the monitoring images and generating first management information; the second management module is used for collecting lighting equipment information in the community and processing the monitoring image and the lighting equipment information at the same time to generate second management information; and after being generated, the first management information and the second management information are sent to corresponding receiving terminals. By arranging the first management module and the second management module, the problems that an existing management platform is single in management type and poor in management effect are solved, and multi-dimensional intelligent integration of community management is achieved.

Provided is an algorithm-based mining system for community service-related big data, the system comprising: a data acquisition module, a data storage module, a data processing module, an algorithm-based mining module, and a result output module; the data acquisition module is configured for acquiring data and information generated during a community service; the data storage module is configured for storing the acquired data and information to a database; the data processing module is configured for cleaning, integrating, and normalizing the stored data and information; the algorithm-based mining module is configured for performing deep mining on the processed data, so as to identify a user requirement; the result output module is configured for presenting a visualized mining result to community administrators and service providers.

The invention relates to the technical field of commercial marketing, and discloses a commercial marketing method based on low-code community operation, which comprises the following steps: creating a low-code open source project, uploading a source code containing a core platform module to a code hosting platform, and configuring a public warehouse for community users to download, clone and submit updating; deploying an open source community version product, and providing a document center, a software downloading channel and a question and answer support system; constructing a collaborative promotion mechanism with an open source organization, an educational institution and a cooperative enterprise; a community management mechanism is established based on an enterprise-level communication platform, user incentive operation processes including training courses, knowledge question answering and open-source competition are executed, user interaction behavior data are collected, and the data are used for triggering commercial product trial, feedback recovery and user resource management operation. The market infiltration capacity, the ecological vitality and the commercial conversion efficiency of the platform are improved.