222 results about "Smart community" patented technology

The invention discloses a smart community security management method and system based on the Internet of Things. The method comprises the following steps: acquiring environmental data in real time through Internet of Things sensing equipment deployed in a community; generating a dynamic risk thermodynamic diagram through a risk assessment model based on historical security event data and environment data collected in real time; generating an optimal patrol path by using a reinforcement learning algorithm according to the dynamic risk thermodynamic diagram and a preset patrol constraint condition; issuing the optimal patrol path to a patrol terminal for execution, and dynamically adjusting the path in the execution process according to the environment data updated in real time; when a high-risk event is detected, an emergency response mechanism is triggered, and the unmanned aerial vehicle, the patrol robot and the mobile terminal are automatically dispatched for cooperative disposal. Through the method, the intelligent degree of community safety monitoring can be enhanced.

A new multi-edge smart community system consisting of communication, computing, and energy harvesting models, where the task execution delay and energy consumption are formalized as the optimization objectives under multiple constraints. For single-edge scenarios, we propose an improved twin-delayed DRL-based algorithm. For multi-edge scenarios, we develop a novel personalized FL-based training framework for DRL. Using the real-world settings and testbed, extensive experiments are conducted to validate the effectiveness of the proposed PFR-OA. The results show that the PFR-OA achieves better trade-offs between delay and energy consumption and exhibits higher task execution success rates than benchmark methods under different scenarios. Notably, the PFR-OA reaches a faster convergence speed compared to advanced DRL-based and FRL-based methods. Moreover, we further verify the practicality and superiority of the PFR-OA via real-world testbed experiments.

The invention relates to the technical field of smart community data management, in particular to a smart community metadata interaction method and system based on an edge computing framework, and the method comprises the steps: carrying out the dynamic storage of multi-dimensional data through a hierarchical rolling cache; generating a uniform resource vector through sequential progressive mapping; community semantic tags are added for the uniform resource vectors through extensible tag slots, connection is established according to association rules, and a resource semantic graph oriented to community services is constructed; receiving a resident task request, constructing a multi-factor weighted scoring engine based on the resource semantic graph, and generating a task data packet with a priority label; a two-channel hybrid scheduling network is constructed, a first channel outputs resource availability and node association degree, and a second channel outputs time sequence characteristics and load prediction parameters; and fusing dual-channel output to obtain task-node correlation and generate an optimal matching strategy. According to the method, task collaboration and resource adaptive management are realized through semantic resource modeling and hybrid scheduling.

The invention discloses a smart community new energy grid management and analysis system, and belongs to the technical field of smart power grid and energy management, and the system comprises a data collection module which is used for collecting photovoltaic power generation, energy storage equipment and user power utilization data in real time; the dynamic modeling module is used for dynamically generating a multi-level energy grid division scheme according to the collected data; the optimization decision module is used for outputting energy regulation and control parameters according to the grid division scheme; and the iterative feedback module is used for monitoring the regulation and control effect and triggering online updating of the model parameters. According to the method, a dynamic grid topology adaptive division mechanism, a multi-source adaptive collaborative optimization algorithm and a pre-verification type network splitting simulation technology are adopted, so that real-time dynamic reconstruction, multi-target joint optimization and millisecond-level security risk prevention and control of a community energy network can be realized; the problems of high transmission loss, response delay, equipment service life reduction and the like caused by traditional static division are effectively solved.

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 data processing, in particular to a multi-modal sensor data real-time fusion processing method for a smart community. According to the method, a sensor network topological graph is constructed, a connection weight is optimized, distributed clock synchronization is realized by using a graph Laplacian matrix, and clock drift prediction and compensation are performed in combination with a fractional Brownian motion model; performing wavelet transform decomposition on the sensor data after time sequence alignment, calculating each scale Hurst index, predicting a load trend through a fractal prediction model, and outputting an optimal resource allocation scheme through hybrid evolution calculation; the method comprises the following steps: constructing multi-modal sensor data into a graph structure, extracting node features by using a graph convolutional neural network, obtaining global feature representation by using a self-attention mechanism, and performing anomaly detection classification in combination with a resource utilization rate and a prediction error; an anomaly detection feedback mechanism is established, and Laplacian matrix eigenvalues and weight parameters are dynamically adjusted; the real-time performance, the accuracy and the robustness of data fusion processing are improved.

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, 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 discloses a multivariate data access and fusion resident community energy metering device, and the device comprises a data collection module which is used for collecting multi-energy data in a resident community through a plurality of communication interfaces, the energy comprises electricity, water, gas and heat, and the communication interfaces support RS485, NB-IoT, LoRa, Zigbee and Wi-Fi; an edge calculation module connected with the data acquisition module and used for preprocessing the acquired multi-energy data, including data format standardization, time sequence reconstruction and preliminary anomaly detection; the data fusion module is connected with the edge calculation module and is used for performing multi-dimensional modeling and data fusion on the multi-energy data based on a deep learning algorithm; compatible access of multi-energy equipment such as electricity, water, gas and heat is realized through modular design, real-time processing, intelligent analysis and user-friendly interaction of energy data are realized by adopting edge computing and deep learning technologies, and technical support is provided for development of smart communities and green buildings.

The invention relates to the technical field of data processing, in particular to an intelligent community data processing system based on situation awareness, which comprises an information acquisition module used for acquiring external accident information and generating an external accident report; the video module is used for acquiring video data in the community and generating a scene report; the analysis module is used for calling the external accident report and the scene report for comparison and generating a risk report; the preset scheme module is used for creating and storing a processing scheme; the automatic auditing module is used for matching the risk report with a processing scheme in the preset scheme module, generating a risk processing scheme if matching succeeds, and directly sending the risk report to the manual auditing module if matching fails; and the manual auditing module is used for auditing the risk processing scheme, analyzing the risk report, creating a corresponding processing scheme in the preset scheme module, and generating the risk processing scheme. The system can recognize some potential risks in the community in advance, and reduces the accident rate.

The invention discloses a digital community governance management system and method based on artificial intelligence, and relates to the technical field of big data analysis. A BIM modeling method is combined with a community building drawing to construct a community virtual model, residence units are divided in the virtual model, a database is established, mapping of the model and data is achieved through a Revit plug-in, and the system and the method have the advantages that the system and the method are simple and convenient, and the system and the method are easy to implement. The method comprises the steps of collecting resident behavior data through Internet of Things equipment, converting the resident behavior data into a third-order tensor, extracting spatial and temporal features by using a convolutional neural network and an LSTM network, optimizing a training model in combination with a cross entropy loss function, constructing a behavior feature library system and an activity label system, and realizing accurate pushing of information through matching degree calculation and dynamic pushing threshold setting. And finally, the data is updated according to the feedback information of the residents, a service closed loop is formed, the pertinence of activity pushing is improved, the community interaction experience is enhanced, and a data-driven intelligent solution is provided for intelligent community construction.

The invention relates to the technical field of abnormal behavior recognition, in particular to an abnormal behavior multi-mode recognition method and system for a smart community. Comprising the following steps: multi-modal data acquisition and preprocessing: synchronously acquiring spatio-temporal dynamic data of a target area through a millimeter wave radar, an infrared sensor, a microphone array and a panoramic camera deployed in a community, wherein the spatio-temporal dynamic data comprises a human body motion track, temperature field distribution, environment voiceprint characteristics and a visual image sequence; wherein the millimeter-wave radar adopts a frequency modulation continuous wave system to sample micro-Doppler characteristics of a human body, the infrared sensor realizes temperature field reconstruction through the pyroelectric array, the microphone array collects voiceprint signals through the array structure, and the panoramic camera collects a high-frame-rate image sequence; and environment interference coupling correction: aiming at acoustic reflection characteristics of different materials in the community, and combining an illumination abrupt change rate, an object reflectivity and an air humidity parameter, the method can improve the recognition accuracy and robustness in a complex community environment.

The invention relates to an intelligent community charging pile management method and device, equipment and a medium, and the method comprises the steps: obtaining the real-time power utilization state data of a community, determining a corresponding effective charging power interval based on the power utilization state data, building a multi-level charging strategy according to the effective charging power interval, and carrying out the management of the charging pile of the intelligent community. A corresponding charging strategy is matched and issued to the target charging pile, operation data of the target charging pile are dynamically monitored, and the charging power of the target charging pile is adjusted in real time to not exceed a safety load limiting threshold value contained in a preset power grid bearing threshold value; generating and pushing a corresponding exclusive charging mode according to pre-acquired historical use behavior data of the user; based on an intelligent regulation and control mechanism of a cell-level load state and user multi-dimensional information, dynamic perception and hierarchical control of a charging process are realized, the load prediction capability is enhanced, and efficient scheduling and ordered management of charging behaviors in an intelligent cell are realized.

The utility model discloses an intelligent community double-door half-height shielding door which comprises a protection shell, a sliding door assembly is arranged in the protection shell and comprises a nut block, a slot is in sliding connection with the interior of the side wall of the top of the protection shell, the top of the protection shell is fixedly connected with an outer protection box, and the outer protection box is fixedly connected with an inner protection box. The top of the protective shell is further fixedly connected with a sliding rail, the outer wall of the sliding rail is slidably connected with a blocking sliding door, the two sides of the blocking sliding door are fixedly connected with L-shaped connecting rods, the L-shaped connecting rods are inserted into the inserting grooves, the sliding door assembly further comprises a top cover, and the top cover is fixed to the top of the outer protective box through bolts. The utility model relates to the technical field of shielding doors. According to the double-door half-height shielding door for the intelligent community, when the blocking sliding door needs to be disassembled, the top cover is separated from the top of the outer protection box, then the blocking sliding door can be directly taken up to vertically move upwards, and the disassembly can be quickly completed by enabling the L-shaped connecting rod to be separated from the inserting groove.

The invention discloses a wireless talkback and smart home integrated system for a smart cell and a control method thereof, an ad hoc network wireless local area network is constructed through an ESP-WIFI-MESH protocol, and the wireless talkback and smart home integrated system comprises an outdoor host, a wireless repeater and an indoor extension. The system adopts mesh topology to realize multi-hop redundant transmission, automatically selects an optimal path and ensures communication reliability; dynamic priority scheduling of alarm, voice, video and smart home control data is supported, wherein the alarm signal is the highest priority. The indoor extension set is integrated with a multi-protocol gateway and is compatible with Wi-Fi / Bluetooth / ZigBee equipment, so that wireless access of smart home such as water, electricity and meters is realized. The community integrated management platform monitors the state of equipment in a centralized manner, and supports remote management, anomaly detection and emergency linkage. The system has the advantages of being low in cost, easy to expand, short in construction period and the like, the problems of complex wiring, signal shielding and the like in old community reconstruction are effectively solved, and community security and protection intelligence is improved.

The invention relates to the technical field of intelligent community data governance and main identity normalization management, and discloses a future community member architecture intelligent building method and system, and the method comprises the steps: carrying out the field semantic standardization of structured resident data; fusing the unstructured data; generating a ciphertext identifier; executing cross-system identity matching in combination with a field similarity function; and generating a unique main identity file. Compared with the prior art, the technical problems that data of multiple departments are independently managed, field structures are heterogeneous, a unified identity primary key is lacked, and particularly, high-precision identity fusion and normalization management cannot be realized under the complex data conditions of name duplication, different address expressions, field missing or untrusted sources and the like of residents are solved. According to the method, cross-system multi-source data fusion and identity uniqueness determination are realized through semantic hash slot construction, image-text joint recognition, multi-source fuzzy matching and a credible main file generation mechanism, and the uniqueness and credibility of future community resident identity data are improved.

The invention discloses an urban waterlogging resident emergency evacuation path guiding method for a smart community, and relates to the technical field of smart cities and emergency management. The method comprises the following steps: firstly, constructing a community digital twinborn base fusing geographic information, building information, Internet of Things sensing data and a hydrodynamic model; dynamic inversion and prediction of the waterlogging situation are realized by assimilating a multi-source observation data driving model; calculating the space-time dynamic risk of the evacuation road network based on the prediction result, and generating a risk map; calculating a space-time evacuation scheme including optimal departure time and a specific path sequence for residents or families by combining resident personalized constraints and adopting a double-layer optimization model combining macroscopic flow distribution and microscopic path planning; finally, instructions are issued through multiple channels such as an intelligent terminal and broadcast, and dynamic adjustment is performed based on real-time monitoring, so that accurate perception, prospective prediction, personalized planning and collaborative guidance of waterlogging evacuation are realized, and the overall efficiency of community emergency evacuation is effectively improved.

The invention discloses a management method and system for preventive maintenance of community infrastructure equipment, belongs to the field of intelligent community internet-of-things equipment, and aims to solve the technical problem of how to help grassroots workers reasonably plan the maintenance time point and the maintenance mode of a charging pile under the constraint of cost. The inspection time and the inspection mode of the equipment are inspected and recorded at any time, and stable and effective operation of the equipment is guaranteed. Maintenance reminding: setting a maintenance reminding advance period, a reminding frequency, a reminding mode and a reminding range; predicting the residual life: predicting the residual life of the equipment through a Monte Carlo simulation mode and historical data, collecting specific information of the degradation degree of the equipment during each maintenance, dynamically updating the residual life of the equipment, and automatically determining the updating time of the equipment according to the length of the residual life; and maintenance recording: detailed recording is carried out on specific item information of each time of maintenance.

The invention relates to the technical field of property management, in particular to an intelligent community property management system, which comprises a dynamic intelligent distribution module for analyzing transaction information texts submitted by residents, extracting key information and performing task distribution in combination with real-time monitoring data and working states of grid members; when the system is used, based on text analysis, real-time monitoring and grid member state comprehensive evaluation, rapid response and accurate distribution of community affairs can be conveniently realized, the processing time of affairs such as garbage cleaning and resident contradiction mediation is greatly shortened, the community environment is effectively improved, and the service life of the community is prolonged. And through a fuzzy comprehensive evaluation algorithm, a multi-dimensional point accounting system is constructed, automatic dynamic settlement of task points of the grid members is realized, the enthusiasm of the grid members and volunteers is fully aroused, the grid members and volunteers are promoted to participate in community services more actively and efficiently, and the community service quality and the resident satisfaction degree are further improved.

The invention provides an interaction control method and system for a convenient service platform, and relates to the technical field of smart communities. According to the method, event information of events reported by users is analyzed and processed, key features such as problem types, severity, emergency degrees and influence ranges of the reported events are extracted, and preliminary schemes such as related departments, problem time limits and manpower information of the reported events are determined by further combining the key features; and checking the preliminary scheme based on the current resource occupation condition of each department, determining a solution of the reported event, and realizing automatic processing of the reported event of the user. According to the process, the final solution is determined through automatic analysis processing, manual screening and analysis are not needed, workers can conveniently process reported events, the processing time of the user reported events is shortened, and the processing efficiency of the user reported events is improved.

The invention discloses a cross-domain data aggregation method and system based on federated learning and a block chain, and relates to the technical field of federated learning. The method comprises the steps of data acquisition, resident portrait construction, travel demand prediction and scheduling, route optimization, community improvement suggestion submission and point management. Collecting regular bus, community environment and resident data; the resident portrait is obtained through deep neural network model training; the travel demand prediction relates to transfer waiting time length prediction and decision judgment, and a regression network model is adopted; route optimization is based on regular bus safety and travel convenience scores, and routes are recommended through a deep neural network model; community improvement suggestions are submitted through a block chain, intelligent contracts automatically store evidences, service points are distributed according to quality, influence and timeliness, and an auditing period is dynamically adjusted. According to the method, data privacy is guaranteed through federal learning, the block chain ensures data security and credibility, security aggregation and value mining of cross-domain data are realized, and a solution is provided for a smart community and smart traffic.

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 smart community equipment management system, and relates to the field of community equipment management systems, the system adopts a layered architecture, and specifically comprises an access control system, a parking space distribution system, a processing architecture and an application architecture; the access control system is connected with the processing framework through the transmission framework and realizes data sharing; the parking space distribution system distributes a public parking space for the vehicle after the access control system reads the license plate; the processing architecture comprises a central control server; the application architecture comprises a parking distribution system, a vehicle guiding module and an elevator calling module, the space topology algorithm is cooperated with the Internet of Things, access control, parking lots, elevators and all monitoring devices distributed in a community are integrated, mutual cooperation through community devices is completed, and on the premise of network connection, the parking space of the parking lot is optimized, and the service life of the parking lot is prolonged. Seamless connection from vehicle entrance to elevator connection is achieved, the system enables vehicle owners to park home faster and more conveniently, and property management is more efficient and saves money.

The invention relates to the technical field of smart parking, in particular to a smart community comprehensive operation management method and device and a storage medium, and the method comprises the steps: collecting parking space data and vehicle feature data; constructing a parking space adaptation index according to the parking space data and the vehicle feature data; extracting the parking space complexity data to construct a path complexity index, constructing a parking space complexity index according to the vehicle parking space data of the parking space in the historical monitoring period, and constructing a parking space complexity factor based on the path complexity index and the parking space complexity index; performing parking space recommendation on the vehicle according to the parking space adaptation index, the parking space complexity factor and the parking space state, and optimizing the parking space recommendation process according to the vehicle passing speed; and determining a complex utilization factor according to the parking space utilization rate and the parking space complexity factor in the monitoring period, and updating the parking space recommendation process of the next monitoring period based on the complex utilization factor. The management efficiency of the intelligent community parking lot is effectively improved.

The invention relates to the technical field of smart community service and real estate data collaboration, in particular to an intelligent and digital driven real estate and community integrated service system. According to the technical scheme, the system comprises an AI intelligent data middle platform, a real estate service intelligent module, a community service digital module, a cross-scene intelligent matching module, a full-process digital operation module, a commercial value increment module, a multi-terminal collaborative interaction module and a safety and compliance management module, all the modules operate collaboratively, and a real estate and community full-service chain is endowed. The business ecology is constructed, the house property and community full-business chain is deeply endowed through intelligent and digital technologies, the problems of insufficient intelligence, data collaboration deficiency, low operation efficiency, weak business value and the like in the prior art are thoroughly solved, and a virtuous circle of technology endowment, business optimization and business value increment is constructed. The method accords with the core appeal of the current capital market for intelligentization, digitization and high growth potential, and has remarkable technical innovation, commercial feasibility and capital attraction.

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 application discloses a smart community police management system and method based on Internet of Things security, and belongs to the technical field of smart communities, and solves the problem that existing system data processing cannot utilize edge computing nodes for low-delay real-time analysis, and cannot meet timely early warning requirements, the method comprising preprocessing of multi-source heterogeneous community monitoring information, analysis and processing of the community monitoring information based on edge computing, and generation of a risk propagation path in combination with front-end analysis results and heterogeneity characteristics; in the application, analysis and processing of the community monitoring information based on edge computing avoids the delay of centralized processing, can quickly trigger early warning in the early stage of a risk event, thereby gaining golden disposal time for risk event disposal, and a risk analysis model realizes a leap from single-node anomaly detection to composite risk quantification through multi-dimensional feature fusion and dynamic space-time reasoning, and realizes multi-dimensional feature fusion and dynamic reasoning capability of the risk event.

The invention discloses an Internet-based intelligent community information service platform, which comprises an information section attraction analysis module, a live collection module and an information section adjustment module, and is characterized in that the information section attraction analysis module is used for checking data of the information service platform according to historically collected community personnel; the real-time condition acquisition module is used for acquiring information of passing community personnel nearby the information service platform in real time, and analyzing the attraction of the content of each display section of the information service platform to the community personnel; the information section adjusting module is used for intelligently adjusting the display position and the display area size of each information section in the information service platform according to the historical information section attraction and the community personnel live information, and the information section attraction analysis module and the live acquisition module are electrically connected with the information section adjusting module. The method has the characteristics of high information transmission efficiency and good effect.

The invention provides a CCRC-based health monitoring system and application, and the system comprises a pension service community, the pension service community comprises a smart community platform, a medical platform and a health management platform, and the smart community platform is used for providing community services for users; the medical platform is used for providing medical services for users; the health management platform is used for monitoring and managing the health of a user, the intelligent community platform comprises property management, emergency rescue and community communication, and the property management provides home-based care service. By arranging the seat assembly, a site for a user to sit can be provided for the user, the legs of the user can be exercised and have a rest while being matched with the pedal assembly for use, by arranging the connecting mechanism, the pedal assembly can be detached and matched with assembling of the connecting mechanism, the pedal assembly can be changed into a resistance assembly, and therefore the user can take a rest conveniently. Resistance is increased for the conveyor belt.

The application provides an extensible smart community knowledge graph construction method and system, relating to the technical field of artificial intelligence, the method comprising: preprocessing multi-modal sensing data collected by multiple spatial regions in a smart community; constructing a spatial topology graph with spatial regions as nodes and physical adjacency relationships as edges according to multiple spatial regions and their physical adjacency relationships in the smart community; processing the preprocessed multi-modal sensing data to generate fusion features representing dynamic events in the region, and taking the fusion features as the attributes of the corresponding nodes in the spatial topology graph to construct a fusion graph for the knowledge graph, the method uses the spatial topology structure to enhance the correlation of multi-modal data, improve the interpretability and reasoning ability of the data, and thus significantly improve the understanding and response ability of the intelligent space to complex interaction tasks.