CN-121998360-A - Intelligent community management system based on artificial intelligence

CN121998360ACN 121998360 ACN121998360 ACN 121998360ACN-121998360-A

Abstract

The invention discloses an intelligent community management system based on artificial intelligence, which relates to the field of intelligent community management and comprises a scene perception pre-judging module, a resource dynamic scheduling module, a man-machine cooperation interaction module and a full-period data closed-loop module, wherein the scene perception pre-judging module is a core data input end and is used for collecting multi-dimensional information of communities and pre-judging potential scenes and providing decision basis for subsequent modules, and the resource dynamic scheduling module is used for receiving the result of the scene perception pre-judging module and realizing self-adaptive allocation of manpower and material resources of the communities. The intelligent community management system based on artificial intelligence can realize active risk avoidance and demand response, and the multimode fusion acquisition and behavior intention prejudging sub-module of the scene perception prejudging module breaks through the limitation of the conventional passive alarm, can identify the problem in advance, reserves enough time for disposal, and reduces the safety risk of communities and the inconvenience of resident life.

Inventors

WANG ZHOU
Xu Wenni
YANG LI
LIN JIANRONG

Assignees

珠海网芯信息科技有限公司

Dates

Publication Date: 20260508
Application Date: 20260128

Claims (8)

1. The intelligent community management system based on artificial intelligence comprises a scene perception pre-judging module, a resource dynamic scheduling module, a man-machine cooperative interaction module and a full-period data closed-loop module, and is characterized in that the scene perception pre-judging module is a core data input end and is used for collecting community multidimensional information and pre-judging potential scenes, and a decision basis is provided for a subsequent module; the resource dynamic scheduling module is used for receiving the result of the scene perception pre-judging module and realizing the self-adaptive allocation of the manpower and material resources of the community; The man-machine cooperative interaction module is used for building a linkage bridge of residents, workers and a system, and realizing noninductive interaction and accurate response; The full-period data closed-loop module is used for realizing data flow closed-loop, and continuously optimizing system pre-judging and scheduling accuracy.
2. The intelligent community management system based on artificial intelligence of claim 1, wherein the scene perception pre-judging module specifically comprises: The multi-mode fusion perception sub-module is used for acquiring non-privacy data through an Internet of things terminal deployed in a community public area and a resident gate, adopting an AI edge computing terminal for real-time processing, and distinguishing community residents from extraneous personnel through gait recognition; And the behavior intention prejudging submodule is used for analyzing the collected behavior data based on the deep learning model and prejudging resident demands and potential risks.
3. The intelligent community management system based on artificial intelligence of claim 2, wherein the scene perception pre-judging module further comprises a scene classification marking sub-module for classifying the pre-judging result according to emergency degree, wherein the scene classification marking sub-module comprises common service, attention reminding, emergency treatment, and synchronously marking scene association areas and required resources.
4. The intelligent community management system based on artificial intelligence of claim 1, wherein the dynamic resource scheduling module specifically comprises: The emergency resource intelligent scheduling sub-module is used for automatically matching corresponding resources and sending scheduling instructions based on a scene calibration result; and the public facility self-adaptive regulation and control sub-module is used for linking community public facility equipment and regulating the running state according to the pre-judgment scene.
5. The intelligent community management system based on artificial intelligence of claim 4, wherein the resource dynamic scheduling module further comprises a manpower collaborative allocation submodule, wherein the real-time property updating and community staff on-duty state is realized, and tasks are intelligently allocated based on scene requirements.
6. The intelligent community management system based on artificial intelligence of claim 1, wherein the man-machine cooperative interaction module specifically comprises: a dual-mode interaction terminal sub-module, wherein a voice and somatosensory interaction terminal is deployed in a unit building and a community service center, residents do not need to download APP, service requirements can be initiated through voice instructions or simple gestures, and the system responds by combining a pre-judging result; And the personalized service pushing sub-module is used for actively pushing the personalized service based on resident behavior data and the prejudgment result.
7. The intelligent community management system based on artificial intelligence of claim 1, wherein the full-period data closed-loop module comprises: And the data cleaning and calibrating sub-module is used for screening the data streams generated by the modules, removing abnormal data, retaining effective behavior and scheduling result data and updating resident behavior portraits and equipment operation reference data.
8. The intelligent community management system based on artificial intelligence of claim 7, wherein the full period data closed loop module further comprises: And the collaborative optimization iteration sub-module compares the scheduling result with the scene treatment effect, and reversely optimizes the pre-judgment model and the resource scheduling logic.

Description

Intelligent community management system based on artificial intelligence Technical Field The invention relates to the field of management of intelligent communities, in particular to an intelligent community management system based on artificial intelligence. Background The current intelligent community management system mostly adopts a passive response and module isolated operation mode, and the core depends on manual triggering instructions or single equipment alarms, so that obvious technical limitations exist. At the scene perception level, the existing system relies on traditional monitor probe to gather video data more, and the focus is traced after the fact rather than prejudgement in advance, and the data acquisition dimension is single, can't fuse the non-privacy data of multidimension degree such as gait, equipment vibration, water and electricity fluctuation, is difficult to accurate capture resident potential demand and facility hidden danger. In the resource scheduling layer, the prior art adopts a fixed allocation mechanism, resources such as an elevator, maintenance manpower and the like cannot be dynamically adjusted according to a community real-time scene, and the problem that resources are idle and the demand overstock coexist easily occurs. At the man-machine interaction level, most systems need residents to download dedicated APP to initiate services, are complex in operation, are not friendly to the population of old people, children and the like, and lack personalized pushing capability based on user behaviors. In the data application layer, the data of each module are mutually split, a complete closed loop optimization mechanism is not available, the system operation precision is difficult to iteratively improve along with the use time, and the upgrading requirement of community management from coping problems to active service cannot be met. Therefore, it is necessary to provide an artificial intelligence-based intelligent community management system to solve the above problems. Disclosure of Invention The invention mainly aims to provide an intelligent community management system based on artificial intelligence, which can effectively solve the problems in the background technology. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: An intelligent community management system based on artificial intelligence comprises a scene perception pre-judging module, a resource dynamic scheduling module, a man-machine cooperative interaction module and a full-period data closed-loop module, wherein the scene perception pre-judging module is a core data input end and is used for collecting multi-dimensional information of communities and pre-judging potential scenes, and a decision basis is provided for a subsequent module; the resource dynamic scheduling module is used for receiving the result of the scene perception pre-judging module and realizing the self-adaptive allocation of the manpower and material resources of the community; The man-machine cooperative interaction module is used for building a linkage bridge of residents, workers and a system, and realizing noninductive interaction and accurate response; The full-period data closed-loop module is used for realizing data flow closed-loop, and continuously optimizing system pre-judging and scheduling accuracy. Preferably, the scene perception pre-judging module specifically includes: The multi-mode fusion perception sub-module is used for acquiring non-privacy data through an Internet of things terminal deployed in a community public area and a resident gate, adopting an AI edge computing terminal for real-time processing, and distinguishing community residents from extraneous personnel through gait recognition; And the behavior intention prejudging submodule is used for analyzing the collected behavior data based on the deep learning model and prejudging resident demands and potential risks. Preferably, the scene perception pre-judging module further comprises a scene grading and marking sub-module, wherein the pre-judging result is graded according to the emergency degree, and the scene perception pre-judging module comprises common services, attention reminding, emergency treatment and synchronously marking scene association areas and required resources. Preferably, the dynamic resource scheduling module specifically includes: The emergency resource intelligent scheduling sub-module is used for automatically matching corresponding resources and sending scheduling instructions based on a scene calibration result; and the public facility self-adaptive regulation and control sub-module is used for linking community public facility equipment and regulating the running state according to the pre-judgment scene. Preferably, the resource dynamic scheduling module further comprises a manpower cooperative allocation sub-module for updating real-time property and on-duty states of community staf