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CN-122022712-A - Intelligent community comprehensive command center dispatching system and method

CN122022712ACN 122022712 ACN122022712 ACN 122022712ACN-122022712-A

Abstract

The invention relates to the technical field of intelligent community management and service, and discloses a dispatching system of an intelligent community integrated command center, which comprises a private domain intelligent body command dispatching service station, a communication coordination module and a feedback evaluation module, wherein the private domain intelligent body command dispatching service station is used for constructing a localized and trusted intelligent dispatching center on a community level, the service station comprises a data fusion module, a task analysis module, a resource matching module, a communication coordination module and a feedback evaluation module, and community intelligent manager nodes are deployed in a community public area and are in communication connection with the command dispatching service station and used for collecting community environment data, resident behavior data and public facility state data and executing dispatching instructions from the service station. The intelligent decision-making capability is extended from the center to the edge and the terminal through the three-level architecture of the private domain intelligent agent command dispatching service station, the community intelligent manager node and the household intelligent manager terminal, so that the load pressure of a center server is reduced, and the quick sensing and accurate response of community public affairs and household private domain requirements are realized.

Inventors

  • YANG DONG
  • HU YONGJUN
  • CHEN TAOLONG

Assignees

  • 上海数与实业集团有限公司
  • 上海卫与技术研究中心

Dates

Publication Date
20260512
Application Date
20251222

Claims (10)

  1. 1. An intelligent community integrated command center dispatching system, comprising: The private domain intelligent agent commanding and dispatching service station is used for constructing a localized and trusted intelligent dispatching center on the community level and comprises a data fusion module, a task analysis module, a resource matching module, a communication coordination module and a feedback evaluation module; The community intelligent manager node is deployed in a community public area, is in communication connection with the command scheduling service station, and is used for collecting community environment data, resident behavior data and public facility state data and executing scheduling instructions from the service station; The household intelligent manager terminal is deployed in each household unit, forms a cascade communication network with the community intelligent manager node and the command scheduling service station, and is used for receiving user instructions, monitoring household environments, controlling household equipment and forwarding emergency alarm and service requests to the upper node; the resource matching module adopts a dynamic resource allocation strategy based on multi-objective optimization, and the objective function is as follows: Wherein, the Represent the first The predicted completion time of the task in question, Representing the cost of scheduling the resources, Represents the task priority inverse index and, , , As a weight coefficient, dynamically adjusting according to the task type; the system also comprises a behavior prediction module, and the time sequence data analysis model is adopted to learn the resident behavior mode.
  2. 2. The intelligent community integrated command center dispatch system of claim 1, wherein the private domain agent command dispatch service station further comprises: the identity authentication and authority management unit is used for carrying out identity authentication and operation authority allocation on different roles such as community households, property personnel, service providers and the like; The service orchestration engine supports visualization service orchestration based on a flow chart, and allows an administrator to configure community service flows in a dragging mode, wherein the community service flows comprise security linkage, equipment inspection, emergency response and life service; the knowledge graph construction module is used for integrating community personnel information, facility information, service resources and historical worksheets to construct a community universe knowledge graph and provide semantic support for intelligent decision.
  3. 3. The intelligent community integrated command center dispatch system of claim 1, wherein the community intelligent manager node comprises: the multi-mode sensing unit is used for collecting video, audio, temperature and humidity, air quality, people flow density and abnormal event information of a community public area; the edge computing unit is used for deploying a lightweight AI model, and analyzing the sensing data in real time to realize face recognition, vehicle recognition, behavior anomaly detection and fire recognition; the local communication unit supports LoRa, zigBee, wi-Fi and 5G multiple communication protocols and is used for networking with home terminals, public facilities and other community nodes; And the task execution interface is connected with public equipment such as community access control, illumination, monitoring, charging piles, express cabinets and the like, receives the scheduling instruction and triggers corresponding equipment to act.
  4. 4. The intelligent community integrated command center dispatch system of claim 1, wherein the home intelligent manager terminal comprises: the user interaction interface supports multiple interaction modes of voice, touch and gestures and is used for receiving user instructions, displaying service information and alarming prompts; the environment monitoring sensor group comprises a temperature and humidity sensor, a smoke sensor, a gas sensor, a door and window magnetic sensor and an infrared human body sensor; the equipment control gateway is connected with a home intelligent door lock, light, an air conditioner, a curtain, a camera and household appliances and executes local automation scenes or remote dispatching instructions; The health monitoring module is optionally matched with physiological parameter acquisition equipment such as heart rate, blood pressure, body movement and the like, carries out health monitoring on the old and children, and actively reports nodes of a social area when abnormal.
  5. 5. The intelligent community integrated command center dispatching system of claim 1, wherein the system further comprises a cross-level event collaboration mechanism, specifically comprising: An event grading strategy is used for dividing events occurring in communities and families into a plurality of grades according to the emergency degree and the influence range, and triggering different response flows by different grades of events; the information aggregation and duplication removal module is used for carrying out information fusion on the same event reported by the multiple nodes; and a dynamic priority adjustment strategy for updating task priority in real time according to the event level, the resource occupation condition and the service queue state, wherein the updating formula is as follows: Wherein, the For the original priority level of the data, As a coefficient of the level of the event, For the proportion of the resources currently available, Is a learning rate parameter; and the cooperative execution bulletin board displays the execution state of the task of the whole community, the resource distribution and the event processing progress to an administrator, and supports manual intervention and scheduling intervention.
  6. 6. The intelligent community integrated command center dispatching system of claim 1, wherein the system further comprises a private domain data protection mechanism, and specifically comprises: the data hierarchical storage strategy is that household privacy data are stored locally at a home terminal, community public data are stored at community nodes, and only the desensitized statistical information is uploaded to a command scheduling service station; The differential privacy processing module injects controllable noise in the data reporting process to prevent the individual data from being reversely identified; The federal learning support framework allows each home terminal and community node to train the model locally, and only aggregates model parameters to the command scheduling service station.
  7. 7. A scheduling method of a smart community integrated command center scheduling system as claimed in any one of claims 1 to 6, comprising the steps of: S1, acquiring community and family multidimensional data through a community intelligent manager node and a family intelligent manager terminal; s2, the private domain agent directs the dispatching service station to conduct fusion analysis on the data, and identifies events and service requirements; S3, performing dynamic matching of tasks and resources based on a preset multi-objective optimization strategy to generate a scheduling scheme; S4, issuing a scheduling instruction to a corresponding community node or home terminal through a communication coordination module; S5, the node and the terminal execute the instruction and feed back the execution state to the service station; and S6, the service station updates the resource state and the task queue according to the feedback data, and performs iterative optimization on the scheduling strategy.
  8. 8. The intelligent community integrated command center dispatching method according to claim 7, wherein the dynamic matching of the task and the resource in the step S3 further comprises: S3.1, constructing a task feature vector which comprises a task type, an emergency degree, a required resource type, predicted time consumption and a geographic position; S3.2, constructing a resource feature vector comprising a resource ID, a resource type, a current position, available time, service capability and cost; s3.3, adopting a two-stage matching strategy, firstly performing primary screening matching, and then performing fine sorting through optimizing an objective function; and S3.4, if the matching fails or the resources conflict, starting a rescheduling mechanism, re-evaluating the task priority and adjusting the resource allocation.
  9. 9. The intelligent community integrated command center scheduling method according to claim 7, wherein the method further comprises an adaptive scheduling policy training process based on reinforcement learning, and specifically comprises the following steps: Defining a state space as a current task queue, a resource state, an environmental context and a user behavior mode; defining an action space as resource allocation, task sequencing, instruction issuing and node awakening; defining a reward function as: , the training process is performed offline in a simulation environment of the system, and a training set is generated by utilizing historical task data and state data; After training is completed, deploying the obtained strategy model into a resource matching module of the private domain intelligent agent commanding and dispatching service station; In the running process of the system, the real-time scheduling data are returned to the simulation environment for periodic updating and retraining of the strategy model.
  10. 10. The intelligent community integrated command center dispatching method according to claim 7, further comprising community service scene customization and simulation deduction functions, and specifically comprising: Providing a scene template library, covering a plurality of typical scenes of security inspection, old man monitoring, child nursing, energy management and property service; The support manager modifies the template parameters based on actual requirements to generate a customized service flow; deducting the customized flow in a simulation environment, and outputting a deduction evaluation report at least comprising flow execution efficiency, key resource occupancy rate and potential conflict nodes; and according to the deduction evaluation report, carrying out iterative adjustment on logic parameters, resource allocation strategies or execution time sequences of the customized service flow until a deduction result meets a preset system performance threshold.

Description

Intelligent community comprehensive command center dispatching system and method Technical Field The invention relates to the technical field of intelligent community management and service, in particular to a dispatching system and a dispatching method for an intelligent community comprehensive command center. Background The intelligent community comprehensively utilizes various intelligent technologies and modes, integrates various existing service resources of the community, provides development directions of various convenient service modes for community masses, and aims at improving community treatment efficiency, resident life quality and sense of safety through intelligent means. In the prior art, related researches exist on a smart community dispatching system, for example, chinese patent No. 114792230a discloses a dispatching system and method for a smart community comprehensive command center, where the system includes a request response module, an information reading module, a dispatching cloud processor, a dispatching cloud database, an information research and judgment module, a command issuing module, a resource allocation module and a comprehensive management module. However, through in-depth analysis, such existing systems still have a plurality of limitations, firstly, the architecture is usually focused on centralized cloud processing, support for intelligent decisions and real-time responses of localization and privacy of communities is insufficient, it is difficult to construct a trusted private intelligent service environment which is truly close to households, secondly, on a scheduling strategy, the existing systems are dependent on preset rules and static resource matching logic, and lack of dynamic optimization and self-learning capability based on real-time data and historical behavior patterns, so that the systems are limited in adaptability and scheduling efficiency when facing complex and changeable community events, furthermore, the existing schemes are insufficient in consideration of data privacy protection, a data security protection system from a home terminal to a community node to a command center cannot be systematically constructed, and finally, the existing technologies fail to provide effective technological implementation paths for whole-course seamless service linkage from a community public space to a home private space and service flow preview and optimization based on simulation. Disclosure of Invention The invention aims to provide a system and a method for dispatching an intelligent community comprehensive command center, which are used for solving the problems in the background technology. In order to achieve the purpose, the invention provides the following technical scheme that the intelligent community comprehensive command center dispatching system comprises: The private domain intelligent agent commanding and dispatching service station is used for constructing a localized and trusted intelligent dispatching center on the community level and comprises a data fusion module, a task analysis module, a resource matching module, a communication coordination module and a feedback evaluation module; The community intelligent manager node is deployed in a community public area, is in communication connection with the command scheduling service station, and is used for collecting community environment data, resident behavior data and public facility state data and executing scheduling instructions from the service station; The household intelligent manager terminal is deployed in each household unit, forms a cascade communication network with the community intelligent manager node and the command scheduling service station, and is used for receiving user instructions, monitoring household environments, controlling household equipment and forwarding emergency alarm and service requests to the upper node; the resource matching module adopts a dynamic resource allocation strategy based on multi-objective optimization, and the objective function is as follows: Wherein, the Represent the firstThe predicted completion time of the task in question,Representing the cost of scheduling the resources,Represents the task priority inverse index and,,,As a weight coefficient, dynamically adjusting according to the task type; the system also comprises a behavior prediction module, and the time sequence data analysis model is adopted to learn the resident behavior mode. As a preferred technical solution of the present invention, the private domain agent directs the dispatch service station to further include: the identity authentication and authority management unit is used for carrying out identity authentication and operation authority allocation on different roles such as community households, property personnel, service providers and the like; The service orchestration engine supports visualization service orchestration based on a flow chart, and allows an administrator to co