94 results about "Smart community" 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 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 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 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 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 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 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.

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

The invention relates to the technical field of smart communities, and discloses a grid-based smart community big data service system, which comprises a grid division module, a data acquisition module, a big data processing module, a service execution module and a central control module, the system is also integrated with an interoperability and expansibility unit; the community geographic area is subjected to gridding division, the gridding granularity is dynamically adjusted according to the population density, the building type and the infrastructure distribution, fine space management and optimal configuration of community resources are achieved, meanwhile, multi-source data and services are integrated on the basis of the grid units, the definiteness and pertinence of community management are guaranteed, and the community management efficiency is improved. The resource utilization efficiency and the management precision are improved; multi-dimensional data such as environment, people flow and facility states are collected in real time through an Internet of Things sensor network, community monitoring equipment and a user terminal, edge calculation and a distributed framework are adopted for integrated analysis, and data support is provided for decision making.

1. The name of the design product: smart community water plant. 2. The use of the design product: for water purification and sale. 3. The design points of the design product: the overall shape of the product. 4. The picture or photo that best indicates the design points: front view.

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.

1. The name of the design product: entrance and exit detector. 2. The use of the design product: the design product is suitable for smart home, smart shop, smart community, smart hotel and other places of Internet of Things application. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combination state reference figure 1.

Solar Powered Smart Community Library Cabinet with Integrated Information System

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 present application relates to the technical field of wisdom community data management, in particular to a wisdom community metadata interaction method and system based on an edge computing framework, comprising: dynamic storage of multidimensional data using hierarchical rolling cache; generation of a uniform resource vector through time sequence progressive mapping; addition of community semantic labels to the uniform resource vector through extensible label slots, and establishment of connections according to association rules to build a resource semantic graph oriented to community services; reception of resident task requests, construction of a multi-factor weighted scoring engine based on the resource semantic graph, and generation of a task data packet with a priority label; construction of a dual-channel hybrid scheduling network, output of resource availability and node correlation degree in the first channel, and output of time sequence characteristics and load prediction parameters in the second channel; and fusion of the dual-channel outputs to obtain task-node correlation and generate an optimal matching strategy. The present application realizes task collaboration and resource adaptive management through semantic resource modeling and hybrid scheduling.

This invention relates to the field of electronic digital data processing technology, and discloses a smart community service interaction system and method based on information acquisition. The system includes: after a sensor state change is triggered, immediately requesting synchronization status from other logically related members of the sensor group; performing a weighted logical consistency judgment based on the communication channel reliability of each state response; and outputting an abnormal event command only when the judgment result is logically inconsistent. The decision-making basis of this invention shifts from trusting the absolute value of a single sensor data point to a self-consistent judgment of the inherent logical relationship of a set of uncertain information. This avoids a large number of invalid alarms caused by false triggering of single-point sensors or unstable communication links in terms of information processing methods. Simultaneously, by utilizing the system's normal operation data, it gains the ability to predict the sub-health state of equipment and the trend changes in user behavior patterns.

The invention provides an extensible smart community knowledge graph construction method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the preprocessing of multi-modal perception data collected by a plurality of space regions in a smart community; according to a plurality of space areas preset in the smart community and physical adjacency relations thereof, constructing a space topological graph taking the space areas as nodes and the physical adjacency relations as edges; according to the method, the preprocessed multi-modal sensing data is processed to generate fusion features representing dynamic events in an area, the fusion features serve as attributes of corresponding nodes in a spatial topological graph, and a fusion graph forming a knowledge graph is constructed. According to the method, the relevance of the multi-modal data is enhanced through the spatial topological structure; and the interpretability and reasonability of the data are improved, so that the understanding and response capabilities of the intelligent space to complex interaction tasks are remarkably improved.

Aspects of the subject disclosure may include, for example, a method in which a processing system automatically downloads a software application and a routing map to a robot of a smart home (SH) in a smart community (SC); the application facilitates communication between the robot and a smart home controller (SHC) of the SH, and the routing map facilitates determining by the robot of a route to the SH when the robot is at a location outside a preconfigured range of operation for the robot. The method also includes initiating a procedure for dispatching to the location of the robot a carrier robot to transport the robot to the SH, responsive to a request for transport of the robot; the request is directed to the SHC using the software application, and the request is in accordance with the robot not being configured for autonomous movement. Other embodiments are disclosed.

The application provides a data collaboration method and device based on a smart community and a readable storage medium, the method comprising: building a local trusted execution environment for each data party in the smart community; verifying the trustworthiness of the trusted execution environment and obtaining a trusted time period; within the trusted time period, each data party uploads its private data and a calculation model to the trusted execution environment through a preset secure transmission layer protocol (TLS) encryption channel for calculation, and obtains a calculation result; and sending the calculation result to a privacy calculation platform through the TLS encryption channel, so that the privacy calculation platform performs fusion analysis calculation according to the calculation result, and returns the fusion analysis calculation result to the corresponding user. The method, device and readable storage medium can solve the problem of the risk of sensitive data leakage, eavesdropping and tampering in the existing data collaboration method based on the smart community.