Hello everyone, I'm Brother Xue. What are the key technologies involved in the overall design of the current smart park (smart city complex)? What technologies are being applied? Let's learn together today! For reference only.
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The overall design of the complex (smart park).
At present, the interpretation of the concept of "smart city" in the industry has its own emphasis, some believe that the key lies in the application of technology, some believe that the key lies in human participation, and some believe that the key lies in the effect of wisdom, that wisdom must first be intelligent, and improve the quality of life and service through scientific and technological means. Based on the development of this concept and the summary of practice in multiple industries, with years of accumulation, relying on industry-leading independent core technologies and sustainable R&D capabilities, we have designed solutions for smart city complexes (smart parks) including smart communities, smart hotels, smart businesses, smart education, and smart healthcare.
"Smart city" is the direction of the development of the international community, although it has different positioning, but it is inseparable from the core technology, which is also the standard of today's society for "smart city". The construction of "smart city" involves a variety of key technologies such as Internet of Things technology, virtualization, big data processing technology, cloud storage technology, augmented reality technology, spatial information grid technology, data fusion technology, application technology, operation and maintenance management technology, etc. After years of accumulation, it has in-depth research and technical achievements in the Internet of Things, big data processing, cloud storage, intelligent science, application technology, operation and maintenance management, etc., helping the construction of various sub-fields of "smart city".
The Internet of Things is the deployment of a variety of sensors in all corners of urban complexes (parks), which can collect a large amount of monitoring data information. These data have temporal and spatial attributes, which can reflect the actual activities of the campus on the virtual space of the network, and then collect this information to explore new value through data analysis. The Internet of Things (IoT) is formed by aggregating all the realities of the campus on the Internet.
Five Internet of Things technologies are mainly used in the construction of "smart city".
1) Collect information on various urban activities such as energy consumption, transportation, and production consumption through sensors.
2) Aggregate the collected data.
3) Analyze the aggregated data.
4) "Visualize" the data analysis results and send them to residents, so that residents' lives are more convenient and their quality of life is higher.
5) Optimize the control of urban activities and infrastructure based on the analysis of data.
The Internet of Things is another wave of information industry ushered in after the Internet, but in terms of the current actual development, the Internet of Things still has many problems to be solved, such as the lack of key technologies, the lack of efficient coordination mechanism, high-end integrated service capabilities are not strong, etc., its practical application will be a very large, complex project, the future, there is still a long way to go. As an important part of the Internet of Things, monitoring can be carried out through intelligent analysis technology to achieve a variety of functions such as license plate recognition, statistics, identity recognition, abnormal behavior judgment, perimeter prevention, alarm, etc., some of which have been very mature. It is foreseeable that monitoring will become one of the first and most important breakthroughs in the application of the Internet of Things, playing an extremely important role.
The Internet of Things is also called the sensor network, and the perception part is divided into identity perception, location perception, image perception, state perception and other parts. Based on years of research on image perception related technologies, there are a large number of research achievements in the image perception of the Internet of Things, and the research on image processing technology, video and audio coding technology, analysis and pattern recognition technology is in the leading position in the industry. At present, it has mature solutions in many industries such as public security, finance, transportation, and electric power, and a large number of first-class sensors are used in various industries. Collect information on urban activities through the application of sensors, summarize the information through the integrated management platform for data analysis, and "visualize" the data analysis results to users through output devices such as large screens, and relevant departments can make relevant decisions according to the "visualized" information.
The Internet era, especially social networks, e-commerce and mobile communications, has brought human society into a new era of structured and unstructured data and information based on "petabytes". Before the advent of cloud computing, traditional computers could not handle such large amounts of irregular "unstructured data". The information storage, analysis and mining methods based on cloud computing can cheaply and effectively store these large, high-speed, and changeable terminal data, and analyze and calculate them at any time.
Cloud computing is developed from distributed computing, parallel processing, and grid computing, and is an emerging business computing model. At present, the understanding of cloud computing is constantly evolving, and there is still no universal definition of cloud computing. The popular understanding is that the "cloud" of cloud computing is the resources that exist on the server cluster on the Internet, which includes hardware resources (servers, storage, CPUs, etc.) and software resources (such as application software, integrated development environment, etc.), the local computer only needs to send a demand information through the Internet, and there will be thousands of computers at the far end to provide you with the resources you need and return the results to the local computer, so that the local computer hardly needs to do anything. All processing is done in the computer fleet provided by the cloud computing provider. Cloud computing can be roughly divided into three categories according to the type of service: infrastructure as service IaaS, platform as service PaaS, and software as service SaaS.
The core technologies of cloud computing include: parallel processing, distributed cache, virtualization, relational and non-relational databases, distributed file systems, billing management, load balancing, etc.
He has in-depth research and rich development experience in virtualization, parallel processing, non-relational databases, distributed file systems, etc. Including the use of virtualization technology to improve the disk utilization of storage, increase the flexibility of storage management, improve storage performance, etc., the use of distributed file system to establish a highly available, scalable image information database system, the use of parallel processing technology for the analysis of massive structured and unstructured data, the use of non-relational database to store and retrieve semi-structured, unstructured data, etc.
In the future "smart city", there will be more and more throughput and monitoring data, higher and higher data processing requirements, and more and more Internet-oriented applications, so a strong big data processing platform is needed to support.
The amount of information in modern society is growing rapidly, and a large amount of data is accumulated in this information, including personal data and industrial data. It is expected that by 2020, more than 1 3 percent of the digital information generated each year will reside in or be processed on cloud platforms. We need to analyze and process this data to obtain more valuable information. So how do we store and manage this data efficiently, and how do we analyze it? Hadoop is now the recognized standard platform for processing big data. In the field of the Internet. yahoo!Run Hadoop through clusters to support research on advertising systems and web search; Facebook runs Hadoop with clusters to support its data analytics and machine learning; Hadoop is used for search log analysis and web page data mining. Hadoop systems are used to store and process data related to e-commerce transactions; China Mobile Research Institute's Hadoop-based "BigCloud" system is used to analyze data and provide services to the outside world.
In response to the needs of big data processing in "smart cities", in-depth development has been carried out on the Hadoop system, and the HDH (Smart Big Data Platform) system has been developed. In response to the storage problem in big data processing, the HDH system adopts distributed storage and distributed database systems to improve the read and write speed and expand the storage capacity. In response to the computing problems in big data processing, the HDH system adopts a distributed computing framework to improve the data analysis and mining capabilities. The HDH system is used to retrieve massive face data, mining massive traffic data, and full-text retrieval of massive text data.
HDH includes multiple sets of components, such as a distributed file system, a distributed database, and a distributed computing framework, to achieve distributed storage and computing of massive amounts of structured, semi-structured, and unstructured data. HDH's high fault tolerance improves the overall reliability of the system. HDH can be deployed in inexpensive computer clusters to reduce investment costs. HDH has flexible scale-out capabilities, allowing it to be configured as needed. With the HDH system, the storage, retrieval, analysis and mining of big data in the "smart park" are more efficient.
With the continuous growth of data processing demand and the large-scale application of high-definition data in the smart field, the complexity of the data and applications that need to be stored in the "smart city" is constantly improving, for example, the data needs to be continuously stored in the storage system for a long time, and it is required to be called at any time, which puts forward new requirements for the reliability and performance of the storage system. In the complex system in the future, the data will show the largest massive growth, and it is particularly important to provide rapid storage and retrieval technology for massive data, and the construction of storage system will become one of the important parts of the future construction of "smart city".
Cloud storage is a new concept extended and developed from the concept of cloud computing, which refers to a system that integrates a large number of different types of storage devices in the network through application software through cluster applications, grid technology or distributed file systems and other functions, and jointly provides data storage and business access functions. Therefore, cloud storage can be regarded as a cloud computing system equipped with large-capacity storage devices.
According to the functional characteristics of cloud storage, a set of cloud storage monitoring system is designed for the storage and management of large-capacity data and to meet the special application needs of the field of "smart city". **The cloud storage system is mainly composed of two parts: a storage management node and a storage node (physical storage device).
The cloud storage management node is the core node of the cloud storage system, which is responsible for the resource management, index management, plan management, and policy scheduling of the cloud storage system as the scheduling center of the cloud storage system. As the specific executor of the cloud storage system business, the cloud storage node is responsible for data storage, reading, storage device management, storage space management, etc.
Intelligence science is an interdisciplinary discipline, mainly including brain science, cognitive science, artificial intelligence, intelligent analysis and other disciplines to jointly study the theory and implementation technology of intelligent behavior.
Intelligent science provides a smart technical foundation for smart cities, and supports the intelligent identification, fusion, calculation, monitoring and processing of massive information in smart cities.
There is an in-depth study in the Smart Analysis section. Intelligent analysis is carried out through behavior analysis technology, license plate recognition technology, face recognition technology, distributed computing technology, splicing technology, etc. Through data mining technology, the macro status of information such as traffic can be obtained, and correlation analysis such as real-time detection of fake-licensed vehicles, vehicle follow-up research and judgment, frequency statistics, and regional collisions can be carried out. Key data is obtained through intelligent analysis and data mining, providing data support for decision-making of relevant functional departments.
The intelligent behavior analysis system is mainly based on background modeling technology: under the static scene (the camera does not displace), it finds the dynamic target with people as the main prevention object, and alarms according to the set alarm rules. In the construction of smart city monitoring system, it can be used in key monitoring areas such as schools, residential quarters, commercial, office buildings, hotels, hospitals, etc., to detect suspicious target intrusion, crossing the warning surface (virtual wall), personnel gathering, suspicious staying personnel, illegal parking, suspicious items left behind, etc., and report to the police in time when abnormalities are found, and deal with the suspicious behavior of the target in the controllable stage of the situation.
License plate recognition technology can realize the function of capturing the license plate of the current vehicle and recognizing the license plate number. In the smart city visual prevention and control system, the main application of high-definition bayonet monitoring system and high-definition electronic police monitoring system to achieve real-time capture of passing vehicles, and to achieve license plate recognition, body color recognition, model recognition, etc., the use of the technology and related business management platform to achieve real-time recording of passing information.
Face recognition is the use of the first capture of the capture image of biometric data extraction and preservation, mainly including capture saving, recognition comparison, retrieval query and other functions, in the community, schools, hospitals, commerce, hotels and other regional entrances and exits, important card points deployment, to achieve the collection of face information of people in and out, on the one hand, it can be used for a small range of suspicious persons to block and intercept, once the system deployment area detects the face of suspicious personnel when the alarm is generated, On the other hand, the face recognition system can be built to build a face information database, which can do a good job in the later case investigation and personnel investigation, and the face recognition system has been tested by many projects and has been matured and commercialized in a number of smart city projects.
Urban complex monitoring area is many, wide range, for places like leisure squares, commercial, residential and other places need more than one camera to cover, in the monitoring center to browse the monitoring screen when you need to open a number of monitoring windows, the browsing screen is not continuous, resulting in individual important monitoring links are often ignored. In response to this situation, the splicing software came into being, through the splicing algorithm library, the synchronized multiple pictures are spliced into an image and displayed, the video recording and regional display of the picture image after the splicing are realized, the software can realize 1 8 horizontally, 1 2 images vertically for splicing, and remove the overlapping part, correct the deformation, make the monitoring area wider, the effect is better.
*Diagnostic technology is the application technology and solution for monitoring and alarming the best picture quality. Once the monitoring screen image is lost, the brightness is abnormal, the image color shift, the stripe interference, the snowflake interference, the PTZ PTZ control and other abnormal conditions are detected, and the alarm is generated in time to notify the maintenance personnel, which effectively ensures the image quality of the monitoring and ensures the reliable operation of the system.
In view of the application characteristics of "smart community", "smart business", "smart hotel", "smart campus", "smart hospital" and other sub-fields of "smart city complex", the first monitoring application management platform has been customized and developed for different industries. **Monitoring application management platform, using application technologies such as architecture and artifacts, workflows, XML and Web services, and platform integration.
The software architecture based on architecture and construction can improve the system design and system analysis ability of relevant software personnel through the understanding of system structure, so as to reduce the cost of software design and development in system organization, structure reuse, operation mode, system analysis and system maintenance, etc., and promote the efficiency of software system production.
Component-based technology and UML modeling language are used to design the system, and iterative design development is implemented. The Unified Modeling Language (UML) is a general visual modeling language for building and documenting software systems. UML can be used with all development methods, life stages, application areas, and media.
*Each application subsystem in the monitoring application management platform will be built with distributed components, laying a good foundation for future component reuse and advanced middleware based on workflow and integration flows. When various domain components are successfully built, high-level integration can be carried out through workflow-based high-level middleware.
The workflow process definition language combines the existing components through the workflow, and executes the workflow through the workflow engine to realize the new system processes and functions, without having to redevelop new application components, which greatly enhances the flexibility and reusability of the system, and finally can achieve the purpose of adapting to the rapidly changing user needs.
* The data in the monitoring application management platform has the characteristics of multi-source heterogeneity, and the processing of such data requires a simple and easy set of standards for the description of the data. XML is a popular data exchange standard, especially suitable for the representation and exchange of complex data objects and types. In the process of building the information platform, the data collection and data processing system takes XML as a unified standard for data format description, and incorporates it into the formulation of data specifications. In addition, Web Services supports open standards such as XML, SOAP, WSDL, UDDI, etc., and can realize software interoperability and data exchange through firewalls through the HTTP protocol, and realize software integration across various technologies.
1) Enterprise Service Bus (ESB).
The monitoring application management platform needs to provide services for public security prevention and control, traffic management, urban visualization management and social services, and needs to solve the problem of multiple protocols and multiple interfaces in the technical architecture. At present, the industry is gradually adopting the IT architecture of Enterprise Service Bus (ESB), the basic component of which is to extract the business data on the application system, and only do process operations such as routing, logging, and error handling on the business data, so as to facilitate the call between interfaces, avoid point-to-point connections between applications, and facilitate the maintenance of interfaces, with good flexibility, reusability and scalability.
2) Standardized application extension technology.
In the application layer that interacts with users, the information integration platform of each intelligent sub-field extends the extensibility of the application system with the concept of microkernel and the method of reserving extension points. The information integration platform of each intelligent sub-field is similar to the operating system, and the application app is similar to the application software installed on the operating system.
Through the standardized application expansion technology, the application expansion scope of the "smart city" information integration platform can be greatly improved, and the corresponding application APP can be developed according to the different needs of users, and the newly developed application APP can be dynamically installed and deployed, and the existing outdated application APP can also be upgraded and removed from the shelves in time, which can more easily expand various applications related to city management, enterprise and home security services, so that the system has higher application value and longer vitality.
Visualized management is based on fully absorbing the experience of the early construction of the first monitoring project in various industries across the country, and is designed for business applications with the new concept of "how to apply, how to build". Focus on solving the needs of "use", divided into two aspects: "management" and "use", "management" includes business supervision and operation and maintenance management, "use" includes first-class applications and business applications, the main characteristics are high-definition, intelligent, and large networking, to meet the needs of industry-oriented business security management and system security operation, "high-definition" can maximize the guarantee of visualization, "intelligence" can maximize the promotion of management, and "networking" can maximize the sharing of resources and deepen the application, The significance of visualization is that it can improve the overall benefits and service level of business management and system management.
"Smart city" is inseparable from the operation and maintenance management platform and long-term operation and maintenance mechanism. O&M management is designed to multiple parts in a "smart city". In the "smart city", there are mature solutions for the operation and maintenance management of the monitoring system. Through the operation and maintenance management platform, the system operation can be comprehensively monitored and maintained. The monitoring objects include: infrastructure, systems, data, management tools, personnel and other aspects. The monitoring content includes: hardware status, operation status, abnormal situation, offline status, etc. Intelligent inspection technology can be used to automatically and intelligently detect the running status of front-end cameras, smart boxes, networks, hosts, and application software, and display the operating status of the system in a dashboard style.
At the same time, through the operation and maintenance management platform, professional service processes can be realized, operation and maintenance personnel, spare parts, operation and maintenance performance can be managed, and various operation and maintenance statistics can be presented in the form of reports, providing evaluation basis and decision-making information for system management.
Introduction to the latest boutique information
This set of weak current data summarizes a large number of technical documents, 313 PPT schemes, 279 standard specifications, 60 design schemes, 119 drawing materials, 8 sets of construction drawings, 20 sets of bills of quantities, 20 construction organization designs, 69 visio topology diagrams and blocks, 54 excel**, complete construction process documents and acceptance documents, etc., which are very comprehensive.