Smart city operation management system

Abstract

The invention relates to the technical field of city management, and discloses a smart city operation management system, which comprises early planning and preparation, system construction, system test and optimization, system online and operation maintenance, and cross-city cooperation and international cooperation. According to the smart city operation management system, artificial intelligence is used to assist demand investigation, a block chain is used to ensure fair and transparent scheme formulation, territorial restrictions are broken through global recruitment of talents, a self-powered sensor is researched and developed, various leading-edge technologies are combined to improve the performance and security of each layer of the system, and user interaction is optimized. Innovative testing methods such as chaos testing and the like are applied, online risks are reduced by adopting gray release, operation and maintenance are optimized by utilizing technologies such as a knowledge graph and the like, and cross-city collaboration and international collaboration are developed to expand development space; therefore, the problems that data mining is not deep, technical application is backward, interaction is inconvenient, testing is not comprehensive, operation and maintenance are difficult, and cooperative communication is lacked can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban management, and in particular to a smart city operation and management system. Background Art

[0002] The smart city operation and management system is a comprehensive platform that uses advanced information technology to comprehensively integrate various urban resources and data to achieve efficient, intelligent and refined urban management. With the acceleration of urbanization and the continuous expansion of urban scale, urban management faces many challenges.

[0003] The preliminary planning and demand research of traditional smart city operation and management systems relies on manual labor, making it difficult to tap into potential needs. Plan formulation lacks transparency and rights protection, team formation is subject to geographical limitations, sensor power supply is inconvenient and data security is limited during system construction, data transmission is difficult in remote areas, data processing is slow and cross-departmental data sharing is difficult, application management decisions rely on manual labor and data traceability is poor, user interaction methods are not convenient enough, it is difficult to fully simulate extreme situations during testing, the risk of going online is high, data correlation, integration and traceability are difficult during operation and maintenance, and training methods are not intuitive enough. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides a smart city operation and management system, which has the advantages of effectively solving the problems of insufficient data mining, backward technology application, inconvenient interaction, incomplete testing, difficult operation and maintenance, and lack of cooperation and communication, and solves the problems mentioned in the above background technology.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a smart city operation and management system, including preliminary planning and preparation, system construction, system testing and optimization, system launch and operation maintenance, and cross-city collaboration and international cooperation. The preliminary planning and preparation include demand research, plan formulation and team formation. The system construction includes the construction of a data acquisition layer, a data transmission layer, a data processing layer, a data management layer and a user interaction layer. The system testing and optimization includes functional testing, performance testing, security testing and user testing. The system launch and operation maintenance include system launch, operation monitoring, data update and maintenance, system upgrade and optimization, and training and support. The cross-city collaboration and international cooperation includes the construction of a cross-city collaboration platform and international cooperation exchanges.

[0008] Preferably, the demand survey introduces artificial intelligence-assisted surveys, analyzes urban social media data, online forum discussions, etc. through natural language processing technology, and explores citizens' potential needs and pain points for urban management. The plan formulation adopts blockchain technology to build a collaborative platform for plan formulation. The team is established to establish an open talent recruitment platform to recruit professionals in the field of smart cities worldwide, breaking geographical restrictions.

[0009] Preferably, the data acquisition layer is constructed to develop self-powered sensors, and energy in the urban environment (such as solar energy, vibration energy, temperature difference energy, etc.) is used to power the sensors, reducing dependence on external power supplies and reducing maintenance costs. The data transmission layer is constructed to combine satellite communication technology and 5G network to build an integrated space-ground data transmission network. The output processing layer is constructed to use quantum computing technology to perform big data analysis, greatly improving the data processing speed. The application management layer is constructed to develop an automatic decision-making module based on artificial intelligence, using deep learning algorithms to perform real-time analysis of urban operation data, and automatically generate management decisions in some scenarios. The user interaction layer is constructed using brain-computer interface technology to provide city managers with a more convenient way of interaction, and the management platform can be operated through thoughts.

[0010] Preferably, the functional test uses chaos testing technology to randomly inject various abnormal situations (such as data loss, network interruption, system error, etc.) into the system to test the functional stability of the system under extreme conditions. The performance test constructs a large-scale simulation environment that simulates a city, in which the system is performance tested to more realistically simulate the complex scenarios of urban operation and management. The security test uses artificial intelligence to mine vulnerabilities, analyzes system code and operation data through machine learning algorithms, and discovers potential security vulnerabilities. The user test conducts "intelligent customer service assisted user testing", using artificial intelligence customer service to answer users' questions in real time during the test, collect user feedback and conduct preliminary analysis.

[0011] Preferably, the system is launched by combining grayscale release with A / B testing, gradually pushing the system to different regions and user groups, comparing the operating effects of different versions of the system, and reducing the risk of going online. The operation monitoring introduces blockchain Internet of Things technology, and stores the system operation status data on the chain to ensure the authenticity and non-tamperability of the data. The data update and maintenance use knowledge graph technology to associate and integrate urban operation management data to improve the efficiency of data update and maintenance. The system upgrade and optimization establishes a "user-driven system upgrade mechanism" to automatically identify the functional points that need to be upgraded and optimized by analyzing user feedback and usage data. The training and support use virtual reality (VR) technology to develop immersive training courses, allowing city managers and relevant staff to conduct system operation training in a virtual environment.

[0012] Preferably, the cross-city collaborative platform builds a cross-city smart city operation and management collaborative platform based on blockchain, and different cities share data, experience and technology on the platform to carry out joint projects. The international cooperation and exchange establishes an "International Innovation Laboratory for Smart Cities" to carry out joint research and innovation projects with other cities, scientific research institutions and enterprises in the world.

[0013] Compared with the existing technology, the present invention provides a smart city operation and management system with the following features:

[0014] Beneficial effects:

[0015] This smart city operation and management system uses artificial intelligence to assist in demand research, blockchain to ensure fair and transparent plan formulation, and global talent recruitment to break geographical restrictions. It develops self-powered sensors and combines a variety of cutting-edge technologies to improve the performance and security of each layer of the system, optimizes user interaction, uses innovative testing methods such as chaos testing, adopts grayscale release to reduce the risk of going online, uses technologies such as knowledge graphs to optimize operation and maintenance, and conducts cross-city collaboration and international cooperation to expand development space. It can effectively solve the problems of insufficient data mining, backward technology application, inconvenient interaction, incomplete testing, difficult operation and maintenance, and lack of cooperation and communication. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall framework structure of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] See also Figure 1, a smart city operation and management system, including preliminary planning and preparation, system construction, system testing and optimization, system launch and operation maintenance and cross-city collaboration and international cooperation. Preliminary planning and preparation include demand research, plan formulation and team formation. System construction includes data acquisition layer construction, data transmission layer construction, data processing layer construction, data management layer construction and user interaction layer construction. System testing and optimization include functional testing, performance testing, security testing and user testing. System launch and operation maintenance include system launch, operation monitoring, data update and maintenance, system upgrade and optimization and training and support. Cross-city collaboration and international cooperation include cross-city collaboration platform construction and international cooperation and exchange. Preliminary planning and preparation are the cornerstone of the entire project. Accurate demand research points out the direction for system function positioning. Scientific plan formulation is the action guide for project implementation. Professional team formation provides manpower guarantee for project execution and determines the effectiveness of subsequent system construction, testing, launch and other work. All aspects of system construction work together to build the entity framework of the smart city operation and management system, giving the system the ability to perceive urban operations. The ability to monitor status, transmit and process information, execute management operations, and interact with users is the core process for the system to realize its functions and realize its value. System testing and optimization is like the quality control link before a product leaves the factory. Through multi-dimensional testing, potential system problems can be promptly discovered and resolved, and system performance, functions, and user experience can be optimized to ensure that the system is put into operation in the best condition and provide reliable support for urban management. System launch and operation and maintenance are key links to ensure the long-term stable operation and continuous function of the system. A stable system provides continuous support for urban management, and timely data updates and system upgrades ensure that the system always meets the actual needs of urban management. Training and support enhance users' ability and satisfaction in using the system, and jointly promote the efficient implementation of urban management. Cross-city collaboration and international cooperation break geographical limitations, integrate global wisdom and resources, and inject new vitality and ideas into the smart city operation and management system. Through cooperation and exchange, cities can learn from advanced experiences, improve their own construction level, and move towards a higher level of smart city, thus occupying a favorable position in the global wave of smart city development.

[0019] The demand survey introduces artificial intelligence to assist in the survey, and uses natural language processing technology to analyze urban social media data, online forum discussions, etc. to explore citizens' potential needs and pain points for urban management. The plan is formulated using blockchain technology to build a collaborative platform for plan formulation, and a team is formed to establish an open talent recruitment platform to recruit professionals in the field of smart cities from around the world, breaking geographical restrictions.

[0020] Through the above technical solutions and demand surveys, the system construction is closely aligned with the actual management needs of the city and the expectations of citizens, avoiding waste of resources and improving the practicality and acceptance of the system after completion. The plan is formulated to provide a clear blueprint for system construction, ensure the orderly progress of work at each stage, reasonably allocate resources, reduce project risks, increase project success rates, form a team to gather professional talents, give full play to their respective expertise, and ensure high-quality construction of the system from hardware to software, from data processing to network communications.

[0021] The data acquisition layer is built to develop self-powered sensors, and the energy in the urban environment (such as solar energy, vibration energy, temperature difference energy, etc.) is used to power the sensors, reducing dependence on external power supplies and lowering maintenance costs. The data transmission layer is built by combining satellite communication technology and 5G networks to build an integrated space-ground data transmission network. The processing layer is built to use quantum computing technology for big data analysis, greatly improving the data processing speed. The application management layer is built to develop an automatic decision-making module based on artificial intelligence, using deep learning algorithms to conduct real-time analysis of urban operation data, and automatically generate management decisions in some scenarios. The user interaction layer is built using brain-computer interface technology to provide city managers with a more convenient way of interaction, and the management platform can be operated through thoughts.

[0022] Through the above technical solutions, the data collection layer is built to realize all-round and real-time data collection in the city, providing a rich and accurate data foundation for subsequent data processing and management decision-making. The data transmission layer is built to ensure fast, stable and secure data transmission, so that the collected data can be delivered to the data processing layer in a timely manner, ensuring the timeliness of system response. The data processing layer is built to deeply mine the value of data, provide a scientific basis for urban management, and improve the accuracy and foresight of management decisions. The application management layer is built to transform data into actual management actions, realize refined and intelligent management of various fields in the city, and improve management efficiency and quality. The user interaction layer is built to build a communication bridge between city managers and citizens, facilitate information exchange between the two parties, increase citizens' enthusiasm for participating in urban management, and make urban management more in line with citizens' needs.

[0023] Functional testing uses chaos testing technology to randomly inject various abnormal situations (such as data loss, network interruption, system errors, etc.) into the system to test the functional stability of the system under extreme conditions. Performance testing builds a large-scale simulation environment that simulates a city, in which the system is performance tested to more realistically simulate the complex scenarios of urban operation and management. Security testing uses artificial intelligence to mine vulnerabilities and analyze system code and operation data through machine learning algorithms to discover potential security vulnerabilities. User testing conducts "intelligent customer service assisted user testing", using artificial intelligence customer service to answer users' questions in real time during the test, collect user feedback and conduct preliminary analysis.

[0024] Through the above technical solutions, functional testing ensures the normal operation of various functions of the system to meet the actual business needs of urban management. Performance testing ensures the stable and efficient operation of the system in complex business scenarios to avoid the impact of performance problems on urban management. Security testing protects the security of the system and urban data, prevents attacks and data leakage, and maintains the normal operation order of the city. User testing discovers problems from the user's perspective, optimizes the system to improve user satisfaction and usage enthusiasm, optimizes and integrates the test results, comprehensively improves the system quality, and makes the system more adaptable to the actual needs of urban management.

[0025] The system is launched using a combination of grayscale release and A / B testing, gradually pushing the system to different regions and user groups, comparing the operating effects of different versions of the system, and reducing the risk of going online. Blockchain Internet of Things technology is introduced for operation monitoring, and the system operation status data is stored on the chain to ensure the authenticity and non-tamperability of the data. Data update and maintenance use knowledge graph technology to associate and integrate urban operation management data to improve the efficiency of data update and maintenance. System upgrade and optimization establish a "user-driven system upgrade mechanism". By analyzing user feedback and usage data, the system automatically identifies functional points that need to be upgraded and optimized. Training and support use virtual reality (VR) technology to develop immersive training courses, allowing city managers and relevant staff to conduct system operation training in a virtual environment.

[0026] Through the above technical solutions, the system is put into actual application in urban management, giving full play to its value, providing tools for efficient urban management, and operating monitoring to grasp the system operation status in real time, promptly discover and solve potential problems, ensure the stable operation of the system, and ensure that urban management work is not affected by system failures. Data updates and maintenance ensure that system data is accurate and available, providing a reliable basis for management decisions, while preventing data loss and ensuring data security. System upgrades and optimizations enable the system to continuously adapt to urban development and changes, maintain its advanced nature and practicality, and continuously improve the level of urban management. Training and support improve users' proficiency in system operation, reduce problems caused by improper operation, and provide users with timely technical support to enhance users' confidence in the system and usage experience.

[0027] A cross-city collaborative platform is built to build a cross-city smart city operation and management collaborative platform based on blockchain. Different cities share data, experience and technology on the platform, carry out joint projects, and establish an "International Innovation Laboratory for Smart Cities" for international cooperation and exchanges to carry out joint research and innovation projects with other cities, scientific research institutions and enterprises around the world.

[0028] Through the above-mentioned technical solutions, the establishment of a cross-city collaborative platform will promote resource sharing and complementary advantages among cities, accelerate the dissemination of smart city construction experience and technology, improve the overall level of regional smart city construction, jointly solve cross-regional urban management problems, introduce international advanced concepts, technologies and resources through international cooperation and exchanges, broaden the vision of urban development, stimulate local innovation vitality, and enhance the city's influence and competitiveness in the field of global smart city construction.

[0029] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A smart city operation and management system, including preliminary planning and preparation, system construction, system testing and optimization, system launch and operation maintenance, and cross-city collaboration and international cooperation, characterized by: The preliminary planning and preparation include demand research, plan formulation and team formation; the system construction includes the construction of data collection layer, data transmission layer, data processing layer, data management layer and user interaction layer; the system testing and optimization include functional testing, performance testing, security testing and user testing; the system launch and operation maintenance include system launch, operation monitoring, data update and maintenance, system upgrade and optimization and training and support; the cross-city collaboration and international cooperation include the construction of cross-city collaboration platform and international cooperation exchanges.

2. A smart city operation and management system according to claim 1, characterized in that: The demand survey introduces artificial intelligence to assist in the survey, and uses natural language processing technology to analyze urban social media data, online forum discussions, etc. to explore citizens' potential needs and pain points for urban management. The plan formulation uses blockchain technology to build a collaborative platform for plan formulation. The team formation establishes an open talent recruitment platform to recruit professionals in the field of smart cities from all over the world, breaking geographical restrictions.

3. A smart city operation and management system according to claim 1, characterized in that: The data acquisition layer is built to develop self-powered sensors, and uses energy in the urban environment (such as solar energy, vibration energy, temperature difference energy, etc.) to power the sensors, reducing dependence on external power supplies and reducing maintenance costs. The data transmission layer is built by combining satellite communication technology and 5G network to build an integrated space-ground data transmission network. The output processing layer is built to use quantum computing technology for big data analysis, greatly improving the data processing speed. The application management layer is built to develop an automatic decision-making module based on artificial intelligence, using deep learning algorithms to conduct real-time analysis of urban operation data, and automatically generate management decisions in some scenarios. The user interaction layer is built using brain-computer interface technology to provide city managers with a more convenient interaction method, and the management platform can be operated through thoughts.

4. A smart city operation and management system according to claim 1, characterized in that: The functional test uses chaos testing technology to randomly inject various abnormal situations (such as data loss, network interruption, system errors, etc.) into the system to test the functional stability of the system under extreme conditions. The performance test constructs a large-scale simulation environment that simulates a city, in which the system is performance tested to more realistically simulate the complex scenarios of urban operation and management. The security test uses artificial intelligence to mine vulnerabilities, analyzes system code and operation data through machine learning algorithms, and discovers potential security vulnerabilities. The user test conducts "intelligent customer service assisted user testing", using artificial intelligence customer service to answer users' questions in real time during the test, collect user feedback and conduct preliminary analysis.

5. The smart city operation and management system according to claim 1, characterized in that: The system is launched using a combination of grayscale release and A / B testing, gradually pushing the system to different regions and user groups, comparing the operating effects of different versions of the system, and reducing the risk of going online. The operation monitoring introduces blockchain Internet of Things technology to store the system operation status data on the chain to ensure the authenticity and non-tampering of the data. The data update and maintenance use knowledge graph technology to associate and integrate urban operation management data to improve the efficiency of data update and maintenance. The system upgrade and optimization establishes a "user-driven system upgrade mechanism" to automatically identify the functional points that need to be upgraded and optimized by analyzing user feedback and usage data. The training and support use virtual reality (VR) technology to develop immersive training courses, allowing city managers and relevant staff to conduct system operation training in a virtual environment.

6. A smart city operation and management system according to claim 1, characterized in that: The cross-city collaborative platform builds a cross-city smart city operation and management collaborative platform based on blockchain. Different cities share data, experience and technology on the platform and carry out joint projects. The international cooperation and exchange establishes an "International Innovation Laboratory for Smart Cities" to carry out joint research and innovation projects with other cities, scientific research institutions and enterprises in the world.

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