169 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.

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 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 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 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 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 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 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.

The invention relates to an access control system for a smart community, the access control system comprises a main body and a revolving door, one side of the main body is provided with a pedal, the bottom of the pedal is provided with an air pumping box, one side of the air pumping box is provided with an air pipe, and the other end of the air pipe is provided with an air bag; according to the access control system for the smart community, through the cooperative use of the pedal, the hydraulic column, the first hydraulic pipe, the first movable pipe and the wedge-shaped block, in the travel peak period, pedestrians pass through the pedal and step down the pedal, the hydraulic column is compressed downwards, hydraulic oil flows in the first hydraulic pipe, the first movable pipe is driven to move upwards, and the first movable pipe is driven to move upwards; when the recognition instrument collects face data to open the revolving door and the revolving door moves to be in contact with the wedge-shaped block, the wedge-shaped block rotates and does not hinder rotation of the revolving door, and when a person passes and the revolving door is closed, the wedge-shaped block makes contact with the wedge-shaped block and hinders closing of the revolving door. The effect of prolonging the closing time of the revolving door is achieved.

The utility model discloses an intelligent community security monitoring device convenient to adjust, which comprises a fixed bottom plate, the upper end and the lower end of one side of the fixed bottom plate are fixedly connected with mounting plates respectively, one side of the fixed bottom plate is fixedly connected with a lifting mechanism, one side of the lifting mechanism is fixedly connected with two sliding rails, and one side of the lifting mechanism is movably connected with a connecting plate. A connecting plate is arranged on the two sliding rails, two grooves are formed in one side of the connecting plate, one side of the two sliding rails is connected with the connecting plate in a sliding mode, one side of the connecting plate is fixedly connected with a steering mechanism, and a camera is fixedly connected into the steering mechanism. According to the invention, some installation scenes with shelters can be effectively avoided, the monitoring range can be flexibly adjusted according to the characteristics of different areas, the monitoring angle can be rapidly adjusted through steering, the monitoring requirements of different scenes can be met, 360-degree rotation can be carried out in the horizontal direction, all-dimensional dead-corner-free monitoring is realized, and the monitoring efficiency is improved. And personnel and vehicle dynamic states in all directions can be captured in time.

The application is suitable for the field of smart community, and provides a smart community ground vehicle management method and system based on artificial intelligence. The method comprises the following steps: binding and associating an outside visitor vehicle and a visited household in a bidirectional manner, so as to uniquely correspond the visitor vehicle information and the household account; managing the visitor vehicle entering process by adopting a reservation system, and performing compliance auditing on the reservation information; constructing a mechanism for identifying illegal parking behaviors and tracing responsibilities, and if the visitor vehicle violates the parking management rules, deducting the integral of the associated visited household account; establishing a ladder type management model of the integral of the visited household, and opening the management authority of the visitor vehicle according to the integral level and different welfare treatment; the method and system can clearly define the illegal responsibility subject through bidirectional binding and responsibility tracing, improve the passing efficiency through the reservation system and intelligent auditing, and stimulate the enthusiasm of the household in participating in the management through the integral ladder management. The parking order of the community is optimized, and the management cost is reduced.

The invention relates to the field of intelligent community operation and maintenance scheduling, and discloses an intelligent community property management system, which comprises a structured data access and mapping unit used for converting a structured event tag of a service request into a basic score; the dynamic confidence coefficient calculation unit is used for calculating a confidence coefficient according to the historical operation and maintenance interaction record of the initiating user; the space-time consensus fusing verification unit is used for triggering logic fusing and setting the priority to be the highest when it is detected that the number of the space-time association requests exceeds a threshold value; and the spatial gravitational field scheduling engine is used for locking the request with the highest priority as an anchor point and performing weighted correction on the priority of the secondary requests in the physical neighborhood by utilizing a spatial gravitational coefficient when the fusing is not triggered, and adsorbing and generating an atomized continuous execution task package when the condition is met. The dimension conflict between logic sorting and a physical execution path is solved, and sawtooth-shaped round-trip scheduling loss is avoided.

The application discloses a kind of new energy grid management and analysis system of wisdom community, belong to intelligent power grid and energy management technical field, it includes data acquisition module, for real-time acquisition photovoltaic power generation, energy storage equipment and user power consumption data;Dynamic modeling module, for the dynamic generation of multilevel energy grid division scheme according to the data collected;Optimization decision module, for according to grid division scheme and output energy control parameter;Iterative feedback module, for monitoring control effect and triggering online update of model parameter.The application adopts dynamic grid topology adaptive division mechanism, multi-source adaptive collaborative optimization algorithm and pre-validation network splitting simulation technology, can realize the real-time dynamic reconstruction of community energy network, multi-objective joint optimization and millisecond-level safety risk prevention and control, effectively solve the problems of high transmission loss, response delay and equipment life loss caused by traditional static division.

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.