Intelligent community management robot system based on artificial intelligence technology

Abstract

The invention provides an intelligent community management robot system based on an artificial intelligence technology, and belongs to the technical field of intelligent community robots, and the system comprises a community data automatic sensing module which is used for automatically sensing and collecting community data, and obtaining multi-modal data; the multi-modal data integrated management module is used for performing centralized management and processing on the acquired multi-modal data to obtain single information flow data; the sustainable artificial intelligence calculation module is used for carrying out intelligent calculation and analysis on the single information flow data, identifying community service requirements, optimizing a service process and outputting an instruction of the community service requirements; the community governance service function module is used for providing intelligent services; and the community robot task execution module is used for providing a human-computer interaction interface and executing intelligent service according to the instruction required by the community service. The intelligent community management robot system solves the problems that the service function of an existing intelligent community management robot system is difficult to achieve, the resident participation degree is low and the intelligent degree is low.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart community robots, and in particular relates to a smart community governance robot system based on artificial intelligence technology. Background Art

[0002] With the accelerated development of urbanization, urban structures are becoming increasingly complex. As an important front for dealing with external risks and social conflicts, communities play a key role in building urban resilience. However, the pain points of traditional community governance and services are concentrated in the high cost and low efficiency of human resources, making it difficult to provide precise and effective community services. With the development of informatization, the market demand for community services is gradually shifting from general needs to special needs, and is advancing towards high intelligence. The community is the carrier of residents' survival and development, and the smart community is a new model of social management innovation. With the rapid development and popularization of network information technology, the construction of smart community governance systems has been gradually promoted, but in practice there are still some problems such as the difficulty of implementing service functions, low resident participation, and low degree of intelligence.

[0003] By introducing artificial intelligence technology, smart community governance robots can realize functions such as round-the-clock automatic patrol, real-time monitoring, and intelligent services, greatly improving the efficiency of community governance.

[0004] At present, smart communities integrate advanced technologies such as artificial intelligence, the Internet of Things, and edge computing to help promote the transformation of communities to intelligence and modernization, provide more convenient and efficient services to community residents, and promote the construction and development of smart communities. Smart community governance robots can monitor safety hazards in the community in real time, and provide proactive services in terms of resident health management and public facilities maintenance, improve the quality of life of residents, and meet the diverse needs of the community. Smart community governance robots will become an important terminal for smart community system management and services, deeply integrated with big data platforms, and urban community governance will gradually achieve digitalization, intelligence, and implementation. Summary of the invention

[0005] In response to the above-mentioned deficiencies in the prior art, the present invention provides a smart community governance robot system based on artificial intelligence technology, which solves the problems that the service functions of the existing smart community governance robot system are difficult to implement, the resident participation is low, and the intelligence level is low.

[0006] In order to achieve the above objectives, the technical solution adopted by the present invention is: a smart community governance robot system based on artificial intelligence technology, comprising: Community data automatic perception module: used to automatically perceive and collect community data, obtain multimodal data, and identify potential risks and community needs by analyzing multimodal data, and provide real-time feedback and early warning; Multimodal data integration management module: used to centrally manage, process and store the collected multimodal data to obtain a single information flow data; Sustainable artificial intelligence computing module: used to perform intelligent computing and analysis on single information flow data, identify community service needs, optimize service processes, and output instructions for community service needs; Community governance service function module: used to provide security, health, information, environment and business intelligence services and multi-functional intelligent collaboration in the community; Community robot task execution module: used to provide a human-computer interaction interface, and automatically match and execute intelligent services according to the instructions of community service needs and governance priorities.

[0007] The beneficial effects of the present invention are as follows: the present invention improves the smart community governance robot system by constructing corresponding modules of perception, management, calculation, service and execution, and enables the community robot equipped with this system to have the ability to cope with multi-scenario applications, forming an ecological chain of community governance smart system, promoting community intelligence, efficiency, flexibility and safety, enhancing the practicality of the service functions of the smart community governance robot system, and improving residents' participation and the intelligence level of community governance.

[0008] Furthermore, the community data automatic perception module includes: The first perception submodule is used to analyze and understand the dynamic changes of face labels using deep neural networks; The second perception submodule is used to patrol and monitor the community environment status using environmental detection equipment; The third perception submodule is used to track and analyze the health status of residents using remote health monitoring equipment and health records; The fourth perception submodule is used to monitor the behavior of residents using behavior sensors and identify abnormal behavior; The first data sub-module is used to use artificial intelligence and machine learning algorithms to analyze the multimodal data obtained by each perception sub-module to identify potential risks and community needs.

[0009] The beneficial effects of the above further scheme are as follows: the present invention integrates multiple perception modules, so that the community data automatic perception module has the ability to deeply mine multi-source data such as community governance basic data and residents' behavior data, thereby improving the comprehensiveness and accuracy of the data coverage of the smart community governance robot system; and by analyzing the multimodal data of each perception, the smart community governance robot system has the ability of real-time feedback and early warning.

[0010] Furthermore, the multimodal data integration management module includes: The first interface submodule is used to access and call multimodal data using the data acquisition interface; The first storage submodule is used to clean, filter and pre-process the received multimodal data, and store the processed multimodal data; The first fusion submodule is used to fuse the stored multimodal data and integrate the multimodal data into a single information flow; The first management submodule is used to protect the single information flow of multimodal data integration by using multiple encryption, access control, anomaly detection and log auditing, and to manage the access rights and transmission security of various types of data to obtain single information flow data.

[0011] The beneficial effects of the above further scheme are as follows: the present invention provides community governance data support through mechanism management of collected multimodal data, improves the consistency and accuracy of community governance data, enhances the data calling effect of the smart community governance robot system, and through the application of multimodal data fusion and real-time decision-making, improves the comprehensive perception and accurate decision-making ability of community robots for the community environment, realizes efficient management of multimodal data, and improves the data processing and response capabilities of community governance and services.

[0012] Furthermore, the sustainable artificial intelligence computing module includes: The first prediction submodule is used to predict the auxiliary decision-making of residents' potential needs based on the residents' behavior data in the single information flow data, using community analysis and decision-making technology; The first analysis submodule is used to analyze the image data in the single information flow data by using machine vision; First language submodule: used to understand and answer questions raised by users and recognize and understand users' voice commands by using artificial intelligence and natural language processing; The first algorithm submodule is used to build an algorithm library containing multiple algorithms, analyze and train multiple algorithms based on a single information flow data, obtain multiple trained algorithms, place self-learning and optimization units to optimize the multiple algorithms, and use the trained multiple algorithms to analyze and process community events; The first planning submodule is used to plan and make decisions on the community service process based on a single information flow data, using demand analysis and the iterative algorithm of the first algorithm submodule, obtain service scheduling, and output instructions for community service needs.

[0013] The beneficial effects of the above further scheme are as follows: the present invention improves the ability of the smart community governance robot system to identify needs, optimizes service processes and provides auxiliary decision-making by performing intelligent calculation and analysis on the data provided by the multimodal data integration management module; by constructing an algorithm library and utilizing deep learning, the autonomous decision-making and task scheduling of community robots in complex scenarios are optimized, thereby enhancing the flexibility and efficiency of community robots; by using a single information flow data to train multiple algorithm models in the algorithm library, the efficiency of multiple algorithms in processing community data is improved, and artificial intelligence self-decision-making governance services are provided; and by inserting self-learning and optimization units in the process of using artificial intelligence, sustainable artificial intelligence computing is achieved, and algorithm operations and accuracy continue to improve.

[0014] Furthermore, the community governance service function module includes: The first service submodule: used to provide intelligent public services to residents based on monitoring and single information flow data; The second service submodule is used to provide intelligent resident services for residents' lives by using convenient services, intelligent monitoring, intelligent guidance and danger protection services; The third service submodule is used to provide intelligent property management services to the community through equipment inspection, environmental monitoring and security patrol; The fourth service submodule: is used to provide intelligent business services to community businesses.

[0015] The beneficial effects of the above further scheme are as follows: the present invention constructs service sub-modules according to public services, property management, resident services and commercial services, thereby improving the ability of the smart community governance robot system to cope with multi-scenarios and multi-functions in the community, realizing intelligent collaboration, and improving community management efficiency and residents' quality of life; it provides the community with comprehensive intelligent services and promotes the intelligent and digital transformation of community management.

[0016] Furthermore, the community robot task execution module includes: The first interaction submodule is used to provide a human-computer interaction interface and, based on each perception module, use the first language submodule to understand and respond to the needs of residents in the dialogue interaction to obtain the dialogue needs; The first navigation submodule is used to call each perception module and sustainable artificial intelligence computing module to plan the path required for movement in the instructions of community service needs and avoid obstacles in the path; The first execution submodule is used to perform specific task operations of community service needs or dialogue needs according to the instructions of community service needs or dialogue needs, using the community governance service function module and the first navigation submodule, and automatically match and execute intelligent services using the sustainable artificial intelligence computing module; The first learning sub-module is used to record the collaborative records between modules, and based on the collaborative records between modules, use the iterative optimization algorithm to learn and improve the smart community governance robot system.

[0017] The beneficial effects of the above further scheme are as follows: the present invention realizes the control of community robots to perform community services by constructing a community robot task execution module, and adopts natural language processing technology to realize natural interaction between robots and residents and personalized service recommendations, as well as automatic matching of task allocation and execution; the present invention is based on modular design, opens a third-party model interface, responds to and expands the model library to meet the diverse needs of different communities, and adapts to diverse new community governance scenarios and new applications; and a learning module is built into the smart community governance robot system, so that the smart community governance robot system can be continuously improved and learned, artificial intelligence computing can be continuously improved, and the accuracy of community robot task execution and the service experience of community residents are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a structural diagram of the smart community governance robot system of the present invention.

[0019] Figure 2 This is the basic architecture diagram of the smart community governance robot system based on artificial intelligence technology in this embodiment. DETAILED DESCRIPTION

[0020] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0021] Example like Figure 1 As shown, the present invention provides a smart community governance robot system based on artificial intelligence technology, including: Community data automatic perception module: used to automatically perceive and collect community data, obtain multimodal data, and identify potential risks and community needs by analyzing multimodal data, and provide real-time feedback and early warning; the community data automatic perception module includes: The first perception submodule is used to analyze and understand the dynamic changes of face labels using deep neural networks; The second perception submodule is used to patrol and monitor the community environment status using environmental detection equipment; The third perception submodule is used to track and analyze the health status of residents using remote health monitoring equipment and health records; The fourth perception submodule is used to monitor the behavior of residents using behavior sensors and identify abnormal behavior; The first data sub-module is used to use artificial intelligence and machine learning algorithms to analyze the multimodal data obtained by each perception sub-module to identify potential risks and community needs.

[0022] In this embodiment, the community data automatic perception module is based on the intelligent collection equipment and recognition technology carried by the robot to perceive and collect various real-time and static data in the community, collect and analyze multimodal data (dynamic changes in face tags, community environment status, resident health status, and resident behavior), and provide real-time feedback and early warning; the community data automatic perception module includes: Visual perception submodule: Based on cameras and monitoring equipment, it conducts security monitoring and image analysis of the community; based on the deep learning facial sequence expression recognition method, it uses the deep neural network (DNN) to automatically analyze and understand the dynamic changes of facial expressions; it provides powerful emotion recognition capabilities for community smart governance robots, so that they are better suited for public services, resident services, and commercial service scenarios; Environmental perception submodule: By installing environmental detection equipment such as temperature and humidity sensors and air quality detectors, real-time patrol monitoring of community environmental status; Health perception submodule: Analyze residents’ health status and track their health status in real time by accessing remote health monitoring equipment and health records; Behavior perception submodule: monitors residents’ behaviors (entry and exit records, movement paths, etc.) through behavior sensors, accesses data from the smart community management service platform, and identifies abnormal behaviors; Data processing and analysis submodule: Based on artificial intelligence and machine learning algorithms, it analyzes the multimodal data obtained by each perception submodule, identifies potential risks and community needs, and provides real-time feedback and early warning.

[0023] like Figure 1 As shown, the multimodal data integration management module is used to centrally manage, process and store the collected multimodal data to obtain a single information flow data; the multimodal data integration management module includes: a first interface submodule: used to access and call the multimodal data using the data collection interface; The first storage submodule is used to clean, filter and pre-process the received multimodal data, and store the processed multimodal data; The first fusion submodule is used to fuse the stored multimodal data and integrate the multimodal data into a single information flow; The first management submodule is used to protect the single information flow of multimodal data integration by using multiple encryption, access control, anomaly detection and log auditing, and to manage the access rights and transmission security of various types of data to obtain single information flow data.

[0024] In this embodiment, the multimodal data integration management module centrally manages, processes and stores the multi-module data collected in the community data automatic perception module, provides data support for the community governance robot, makes the data consistent and accurate, and can efficiently call the data; the multimodal integration management module includes: Data collection interface submodule: By integrating multiple types of data collection interfaces (community cameras, sensors, and remote monitoring equipment, etc.), it accesses and calls the multi-module data collected in real time in the community data automatic perception module; Data processing and storage submodule: By combining the storage module of the smart community intelligent service system, the ability to store structured and unstructured data is obtained, multimodal data is cleaned, filtered and preprocessed, noise, missing values ​​and other bad data are removed, data quality is improved, and the processed multimodal data is stored; Data analysis and fusion submodule: It integrates multimodal data such as images, voice and sensors into a single information stream to achieve the fusion of multimodal data in the community; Security and permission management submodule: By utilizing multiple encryption, access control, anomaly detection, and log auditing, the security and privacy of multimodal data are fully protected, the integrated single information flow is further protected, and the access rights and transmission security of various types of data are managed to obtain single information flow data.

[0025] like Figure 1 As shown, the sustainable artificial intelligence computing module is used to perform intelligent computing and analysis on single information flow data, identify community service needs, optimize service processes, and output instructions for community service needs; the sustainable artificial intelligence computing module includes: The first prediction submodule is used to predict the auxiliary decision-making of residents' potential needs based on the residents' behavior data in the single information flow data, using community analysis and decision-making technology; The first analysis submodule is used to analyze the image data in the single information flow data by using machine vision; First language submodule: used to understand and answer questions raised by users and recognize and understand users' voice commands by using artificial intelligence and natural language processing; The first algorithm submodule is used to build an algorithm library containing multiple algorithms, analyze and train multiple algorithms based on a single information flow data, obtain multiple trained algorithms, place self-learning and optimization units to optimize the multiple algorithms, and use the trained multiple algorithms to analyze and process community events; The first planning submodule is used to plan and make decisions on the community service process based on a single information flow data, using demand analysis and the iterative algorithm of the first algorithm submodule, obtain service scheduling, and output instructions for community service needs.

[0026] In this embodiment, the sustainable artificial intelligence computing module performs intelligent computing and analysis based on the single information flow data provided by the multimodal data integration management module; the sustainable artificial intelligence computing module is the "brain" of the smart community governance robot system, and performs deep processing of data through algorithms to identify needs, optimize service processes and assist decision-making; the sustainable artificial intelligence computing module includes: Demand identification and prediction submodule: Based on residents' behavior patterns and historical data, community analysis and decision-making technology are used to predict residents' potential needs to assist in decision-making. Potential demand assistance includes: health monitoring, emergency response, daily life, community vitality, safety, disaster situation, resilience and other aspects of decision-making and support; Image and video analysis submodule: By embedding computer vision technologies such as face recognition and emotion analysis, automatic obstacle avoidance, path planning, and behavior understanding, it analyzes image data in real time and assists the robot in automatically completing commands such as face recognition, emotion analysis, abnormal behavior detection, and dangerous object identification. Natural language processing submodule: Based on artificial intelligence (AI) and natural language processing (NLP) technologies, the robot can understand and answer questions raised by users, simulate human conversations, and achieve efficient human-computer interaction; it can quickly recognize and understand residents' voice commands and support natural language interaction in multiple languages ​​and situations; Machine learning and deep learning algorithm library submodule: Based on single information flow data, multiple algorithm models are used for access analysis and continuous training to realize the ability of the smart community governance robot system to analyze and process complex community events, and a self-learning and optimization unit is placed to optimize the algorithms in the algorithm library during the use of artificial intelligence; the algorithm models include commonly used classification, clustering, prediction and other algorithm models, such as: priority scheduling algorithm (PriorityScheduling), A-Star Algorithm and Rapidly-exploring Random Tree (RRT); Intelligent scheduling and path planning module: Combining demand analysis and environmental data in a single information flow, using an iterative algorithm model, dynamically optimizes the robot's task scheduling and path planning, achieves efficient and reasonable service scheduling, obtains service scheduling, and outputs instructions for community service needs.

[0027] like Figure 1 As shown, the community governance service function module is used to provide security, health, information, environment and business intelligence services and multi-functional intelligent collaboration in the community; the community governance service function module includes: The first service submodule: used to provide intelligent public services to residents based on monitoring and single information flow data; The second service submodule is used to provide intelligent resident services for residents' lives by using convenient services, intelligent monitoring, intelligent guidance and danger protection services; The third service submodule is used to provide intelligent property management services to the community through equipment inspection, environmental monitoring and security patrol; The fourth service submodule: is used to provide intelligent business services to community businesses.

[0028] In this embodiment, the community governance service function module is based on the diverse needs in community governance, and develops community multi-scenario function application sub-modules from four main directions: public services, property management, resident services, and commercial services. It cooperates with the built or to-be-built smart community governance system to achieve multi-scenario and multi-functional intelligent collaboration, improve community management efficiency and residents' quality of life; the community governance service function module includes: Intelligent public service submodule: Through real-time monitoring and data collection, it provides functions such as intelligent management of community space, intelligent collection of grid information, intelligent event processing, information inquiry and publicity, and public resource management, reducing the workload of social workers, improving their work efficiency, and providing intelligent public services to residents.

[0029] Smart resident service submodule: Based on improving the convenience of daily life of community residents, it provides smart convenience services, smart monitoring and nursing care, smart guidance and immediate response without application, life assistant and danger protection services, improves the quality of life of residents, and provides smart resident services for residents' lives; Intelligent property management service submodule: Improve property management efficiency through equipment inspection, environmental monitoring, security patrol and other functions, provide security patrol and intelligent early warning, logistics distribution and traffic flow optimization, daily operation and maintenance and garbage disposal, water and electricity management and environmental monitoring services, automate equipment maintenance and environmental monitoring tasks, provide real-time management and maintenance of community facilities, ensure the safety and efficiency of community operation, and provide intelligent property management services to the community; Intelligent business service submodule: By integrating general business service performance, community customer mining and market analysis, community image identification and product promotion, community activity organization and information announcement and other functions, it supports business activities within the community, promotes the sustainable development of community business, and provides intelligent business services for community business.

[0030] like Figure 1 As shown, the community robot task execution module is used to provide a human-computer interaction interface and automatically match and execute intelligent services according to the instructions of community service needs and governance priorities; the community robot task execution module includes: The first interaction submodule is used to provide a human-computer interaction interface and, based on each perception module, use the first language submodule to understand and respond to the needs of residents in the dialogue interaction to obtain the dialogue needs; The first navigation submodule is used to call each perception module and sustainable artificial intelligence computing module to plan the path required for movement in the instructions of community service needs and avoid obstacles in the path; The first execution submodule is used to perform specific task operations of community service needs or dialogue needs according to the instructions of community service needs or dialogue needs, using the community governance service function module and the first navigation submodule, and automatically match and execute intelligent services using the sustainable artificial intelligence computing module; The first learning sub-module is used to record the collaborative records between modules, and based on the collaborative records between modules, use the iterative optimization algorithm to learn and improve the smart community governance robot system.

[0031] In this embodiment, the community robot task execution module converts the instructions of the sustainable artificial intelligence computing module into actual operation tasks, and controls the community robot to perform specific service actions; this module implements the "action" function of the system and is the interface for direct interaction between the robot and residents; the community robot task execution module includes: Dialogue interaction submodule: Based on the perception module and artificial intelligence algorithm module, natural language processing technology is performed, and a human-computer interaction interface is provided, so that the smart community governance robot system supports multiple dialogue modes such as voice and text, and enables the community robot to understand the needs of residents and respond to them, and obtain dialogue needs; Autonomous navigation and obstacle avoidance submodule: Through the call of the community data automatic perception module and the sustainable artificial intelligence computing module, the required movement path in the instructions of community service needs is planned, and obstacles in the path are avoided, so as to realize the autonomous movement and real-time obstacle avoidance of the community robot, and ensure that the community robot can perform tasks safely and efficiently in complex environments; Action control submodule: By receiving instructions or dialogue requirements of community service needs, using the community governance service function module and the first navigation submodule, the robot's mechanical arm, wheeled chassis and other hardware facilities are controlled to perform specific task operations of community service needs or dialogue requirements, such as delivering items, guiding directions and transmitting information, and automatically matching and executing intelligent services; Task feedback and learning sub-module: By recording the collaborative records between modules, and based on the collaborative records of all modules, calling the iterative optimization algorithm, recording and analyzing the data during the task execution process, it helps the smart community governance robot system to continuously improve and learn, and improve the accuracy of task execution and service experience.

[0032] In this embodiment, Figure 2 As shown in the figure, based on the needs of community governance, the overall architecture of the smart community governance robot system is designed; a community data automatic perception module is constructed to act on the data layer of the smart community governance robot system to achieve deep data mining and provide basic grid management data, community resident behavior data, social media data, community monitoring data, and community POI data; Construct a multimodal data integration management module, which acts on the management level of the smart community governance robot system to achieve efficient overall management, provide dynamic, customizable and programmable interfaces and modules, optimize the robot's recognition of residents' needs and intelligent scheduling of service processes, ensure efficient processing of residents' feedback, improve community service experience, present a panoramic view of the community status to community managers, support community space management, risk warning, resident needs analysis and other functions, and provide intelligent decision-making support; it includes hardware interface and data analysis, data analysis and fusion modules and distributed computing cluster equipment, equipped with sub-modules with data processing and storage systems, to achieve multiple encrypted access control and security and authority management; Build a sustainable artificial intelligence computing module to act on the technical layer of the smart community governance robot system, providing AI technical support including: target tracking, automatic obstacle avoidance, autonomous analysis, sentiment analysis, behavior understanding, perception simulation and path planning, identifying needs, optimizing service processes and assisting decision-making; Build community governance service function modules, act on the functional layer of the smart community governance robot system, provide intelligent services, and start from the four main community services of public services, resident services, property management services and commercial services to ensure that the robot can operate efficiently in a complex community environment and achieve multi-functional collaboration and service response; Build a community robot task execution module, which acts on the task layer and application layer of the smart community governance robot system. According to the instructions of community service needs, it analyzes specific tasks, automatically matches community service needs with corresponding specific tasks, and performs intelligent services. The community service needs provided by AI robots are: AI community governance, AI property management, AI resident services, AI commercial services, and AI healthcare. The specific tasks of AI community governance include: information census, social conditions and public opinion, space management, management guidance, and publicity and notification; The specific tasks of AI property management include: security inspection, daily operation and maintenance, garbage sorting, water and electricity management, and logistics distribution; The specific tasks of AI resident services include: smart topics, life assistant, activity consultation, danger tracking, and communication companionship; The specific tasks of AI business services include: product promotion, market activities, information research, market analysis and image logo; The specific tasks of AI healthcare include: intelligent physical examination, intelligent medical consultation, elderly companionship, and health care and rehabilitation.

Claims

1. A smart community governance robot system based on artificial intelligence technology, characterized in that: include: Community data automatic perception module: used to automatically perceive and collect community data, obtain multimodal data, and identify potential risks and community needs by analyzing multimodal data, and provide real-time feedback and early warning; Multimodal data integration management module: used to centrally manage, process and store the collected multimodal data to obtain a single information flow data; Sustainable artificial intelligence computing module: used to perform intelligent computing and analysis on single information flow data, identify community service needs, optimize service processes, and output instructions for community service needs; Community governance service function module: used to provide security, health, information, environment and business intelligence services and multi-functional intelligent collaboration in the community; Community robot task execution module: used to provide a human-computer interaction interface, and automatically match and execute intelligent services according to the instructions of community service needs and governance priorities.

2. The smart community governance robot system based on artificial intelligence technology according to claim 1 is characterized in that: The community data automatic perception module includes: The first perception submodule is used to analyze and understand the dynamic changes of face labels using deep neural networks; The second perception submodule is used to patrol and monitor the community environment status using environmental detection equipment; The third perception submodule is used to track and analyze the health status of residents using remote health monitoring equipment and health records; The fourth perception submodule is used to monitor the behavior of residents using behavior sensors and identify abnormal behavior; The first data sub-module is used to use artificial intelligence and machine learning algorithms to analyze the multimodal data obtained by each perception sub-module to identify potential risks and community needs.

3. The smart community governance robot system based on artificial intelligence technology according to claim 1 is characterized in that: The multimodal data integration management module includes: The first interface submodule is used to access and call multimodal data using the data acquisition interface; The first storage submodule is used to clean, filter and pre-process the received multimodal data, and store the processed multimodal data; The first fusion submodule is used to fuse the stored multimodal data and integrate the multimodal data into a single information flow; The first management submodule is used to protect the single information flow of multimodal data integration by using multiple encryption, access control, anomaly detection and log auditing, and to manage the access rights and transmission security of various types of data to obtain single information flow data.

4. The smart community governance robot system based on artificial intelligence technology according to claim 1 is characterized in that: The sustainable artificial intelligence computing module includes: The first prediction submodule is used to predict the auxiliary decision-making of residents' potential needs based on the residents' behavior data in the single information flow data, using community analysis and decision-making technology; The first analysis submodule is used to analyze the image data in the single information flow data by using machine vision; First language submodule: used to understand and answer questions raised by users and recognize and understand users' voice commands by using artificial intelligence and natural language processing; The first algorithm submodule is used to build an algorithm library containing multiple algorithms, analyze and train multiple algorithms based on a single information flow data, obtain multiple trained algorithms, place self-learning and optimization units to optimize the multiple algorithms, and use the trained multiple algorithms to analyze and process community events; The first planning submodule is used to plan and make decisions on the community service process based on a single information flow data, using demand analysis and the iterative algorithm of the first algorithm submodule, obtain service scheduling, and output instructions for community service needs.

5. The smart community governance robot system based on artificial intelligence technology according to claim 1 is characterized in that: The community governance service function modules include: The first service submodule: used to provide intelligent public services to residents based on monitoring and single information flow data; The second service submodule is used to provide intelligent resident services for residents' lives by using convenient services, intelligent monitoring, intelligent guidance and danger protection services; The third service submodule is used to provide intelligent property management services to the community through equipment inspection, environmental monitoring and security patrol; The fourth service submodule: is used to provide intelligent business services to community businesses.

6. The smart community governance robot system based on artificial intelligence technology according to claim 1 is characterized in that: The community robot task execution module includes: The first interaction submodule is used to provide a human-computer interaction interface and, based on each perception module, use the first language submodule to understand and respond to the needs of residents in the dialogue interaction to obtain the dialogue needs; The first navigation submodule is used to call each perception module and sustainable artificial intelligence computing module to plan the path required for movement in the instructions of community service needs and avoid obstacles in the path; The first execution submodule is used to perform specific task operations of community service needs or dialogue needs according to the instructions of community service needs or dialogue needs, using the community governance service function module and the first navigation submodule, and automatically match and execute intelligent services using the sustainable artificial intelligence computing module; The first learning sub-module is used to record the collaborative records between modules, and based on the collaborative records between modules, use the iterative optimization algorithm to learn and improve the smart community governance robot system.

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