WO2022257181A1 - AIOT PaaS物联网运营平台 - Google Patents

AIOT PaaS物联网运营平台 Download PDF

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WO2022257181A1
WO2022257181A1 PCT/CN2021/101368 CN2021101368W WO2022257181A1 WO 2022257181 A1 WO2022257181 A1 WO 2022257181A1 CN 2021101368 W CN2021101368 W CN 2021101368W WO 2022257181 A1 WO2022257181 A1 WO 2022257181A1
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data
platform
layer
internet
management
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French (fr)
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刘天琼
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刘天琼
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/08—Protocols for interworking; Protocol conversion

Definitions

  • the invention relates to the field of Internet of Things operation platforms, in particular to an AIOT PaaS Internet of Things operation platform.
  • PaaS Platinum as a Service
  • PaaS is a business model that provides the operating and development environment of application services as a service.
  • PaaS provides developers with an environment for building applications. With the help of PaaS services, there is no need to think too much about the underlying hardware, and many necessary services for building applications can be conveniently used.
  • PaaS can integrate various existing business capabilities. Specifically, it can be classified into application servers, business capability access, business engines, and business open platforms. The basic service capabilities are calculated based on business capability needs, and the hardware is invoked through the API provided by IaaS. Resources, provide business scheduling center services upward, monitor various resources of the platform in real time, and open these resources to SaaS users through API.
  • PaaS The essence of PaaS is to serve Internet resources into programmable interfaces and provide third-party developers with commercially valuable resources and service platforms.
  • cloud computing developers can obtain a large number of programmable elements, which have specific business logic, which brings great convenience to development, not only improves development efficiency, but also saves development costs.
  • the development of WEB applications has become more agile, and the ability to quickly respond to user needs has also brought tangible benefits to end users.
  • the main problem of the Internet of Things operation platform service is that the third-party large-scale platform has high entry threshold and large scale, and it is difficult to provide fast and convenient Internet of Things operation platform services for small and medium-sized enterprises; therefore, with the advantages of PaaS, it can provide small and medium-sized enterprises Provide a convenient and easy-to-use IoT operation platform.
  • the purpose of the present invention is to provide an AIOT PaaS Internet of Things operation platform, which aims to provide a convenient and easy-to-use Internet of Things operation platform for small and medium-sized enterprises, which can be applied to smart cities, smart Park, smart community, smart campus, smart elderly care, smart agriculture, smart supply chain and other scenarios.
  • the present invention provides an AIOT PaaS Internet of Things operation platform, including application layer, platform layer, trusted layer, network layer, edge layer and device layer, the application Realize data exchange between the layer and the platform layer through a computer application program interface and a network, the platform layer and the trusted layer realize data exchange through a computer application program interface and a network, and the trusted layer and the network layer Realize data exchange through a computer application program interface, the network layer and the edge layer realize data exchange through a computer application program interface, and the edge layer and the device layer realize data exchange through a computer application program interface and a network;
  • the device layer includes all IoT devices installed with smart chips; the edge layer conducts large-scale and in-depth data collection on the IoT devices contained in the device layer, as well as protocol conversion and edge processing of heterogeneous data , constructing the data foundation of this Internet of Things operation platform; the network layer is used for transparent data transmission between the edge layer and the trusted layer; the trusted layer is used to provide trusted infrastructure as a service IaaS; The platform layer provides the application layer with a development, operation, and control environment, that is, middleware functions, by utilizing the capabilities of the trusted layer; the application layer calculates, Processing and knowledge mining, so as to realize the implementation control, precise management and scientific decision-making of this IoT operation platform;
  • the application layer includes a research and development design platform, a production and manufacturing platform, a management platform, a marketing platform, and an intelligent service platform;
  • the research and development design platform is used to provide product design and development functions, so that engineers can build product models on computers, Effective numerical algorithms, mature 3D visualization technology and standard graphical user interface can help enterprises minimize the number of trial production of physical prototypes by simulating product characteristics in real environments and improving product design schemes and work processes based on simulation results. Thereby shortening the design and production cycle, reducing costs, and improving product quality;
  • the manufacturing platform is used to provide a platform for manufacturing products, adopt modular production methods to improve product variety, quality and automation level, improve product assembly quality and shorten product quality.
  • the operation and management platform uses information technology tools and takes the business management process of the enterprise as the main line to centralize the management attributes, division of labor, authorization, notification, decision-making items, quantity, and amount control items involved in the operation process of the enterprise Management and control;
  • the marketing platform includes physical logistics process, ownership process, payment process, that is, payment flow, information and promotion process, providing suppliers, producers, wholesalers and retailers with ownership of goods or services from producers to consumers mobile server;
  • the intelligent service platform supports fast access to various data, algorithms, and smart devices, and provides visual programming tools for management and scheduling of services and resources.
  • the platform layer includes an application development platform, a microservice application platform, an enterprise intelligence platform, an integration platform, a data base, an Internet of Things platform, and a general resource deployment and management platform;
  • the application development platform is used to realize business process , Modularization and service-oriented, reduce the research and development cycle of software products, improve the quality of software products, reduce communication costs and speed up the response speed of software product changes, and realize the unification and standardization of business data.
  • the application development platform adopts JAVA visualization plan, supports The rapid design and opening of multiple frameworks supports multiple mainstream databases;
  • the micro-service application platform is based on SpringCloud, adopts the principles of AKF splitting, front-end and back-end separation principles, stateless service principles, and Restful communication style principles to provide document management , service governance, and service simulation tools and frameworks to achieve unified authentication, unified configuration, unified log framework, and distributed summary analysis;
  • the enterprise intelligence platform is an integration of daily office, project management, customer management, sales data, and cultural construction Unified office platform, used to build a whole-process integrated management system of enterprise big data to realize intelligent and refined management of sales, customers, production, inventory, procurement, human resources, finance, office, etc., covering CRM, project management, ERP invoicing System functions, visual big data analysis;
  • the integration platform is a software platform that supports application development and system integration operation in a complex information environment, based on the information characteristics of the manufacturing industry, it provides transparent , consistent means of information access and interaction, manage the applications running on it,
  • the data base can unify the management structure Unstructured and unstructured data, open up data supply channels, ensure the integrity, consistency, and sharing of enterprise data, and ensure data security and control; Data collection, rule engine, and rapid construction of IoT-related business systems; the general resource deployment and management platform deploys and manages services in the form of components, and closely combines service development and deployment management; and adopts Customizable resource statistics strategy and customizable allocation strategy, while increasing the scalability of the system, respond to the service's requirements for different resources and reasonably automate node allocation, so as to realize the automation of distributed cluster services provided externally Deployment and management capabilities.
  • the trustworthy layer includes a computing service platform, a storage service platform, a network service platform, and a security service platform; the computing service platform is used to extract potential information after data integration, processing, and calculation, so as to realize data security. value; the storage service platform is used to provide intelligent storage processing, supporting primary storage, unstructured data storage, file storage, hybrid storage, distributed storage, and fusion storage; the network service platform is used to provide full-cycle support for the network , including network architecture optimization, optimal network design, network operation and management; the security service platform is used to provide centralized, unified, and visualized security information management, collect various security information in real time, and dynamically conduct security information correlation analysis and risk analysis Evaluation, which realizes the rapid tracking, location and emergency response of security incidents, is a set of measurable and unified business support platforms established from the four dimensions of monitoring, auditing, risk and operation and maintenance.
  • the network layer includes NB-IoT, eLTE, LTE-V, and 5G;
  • the NB-IoT is used to support massive connections, has deep coverage capability, and low power consumption, and is suitable for industrial sensing, metering, and monitoring Data acquisition application;
  • the 5G has the characteristics of ultra-high speed, high reliability, and low delay, which is suitable for industrial communication scenarios and replaces WiFi, Zigbee and WirelessHART wireless communication network technologies;
  • the eLTE is a wireless broadband cluster solution that supports mobile office, Remote data collection, VOIP, video surveillance and various wireless broadband data services are applicable to multiple fields such as wISP, smart city, education, smart grid, and railway;
  • the edge layer includes EC-IoT industrial gateway, edge computing service IEF, and LiteOS.
  • the device layer includes intelligent transportation equipment, industrial intelligent robots, network intelligent terminal equipment, human intelligent wearable equipment, engineering intelligent machinery equipment, agricultural intelligent machinery equipment, numerical control machine tools, intelligent sensors, intelligent collectors, and intelligent transmitters , Embedded intelligent system.
  • the EC-IoT industrial gateway converts devices with two different protocols into corresponding protocols capable of communicating for two-way data transmission;
  • the edge computing service IEF is an intelligent edge platform (Intelligent EdgeFabric ), is an edge-cloud collaborative operating system based on cloud-native technology. It can run on a variety of edge devices, and deploy rich AI, IoT and data analysis intelligent applications from the cloud to the edge in a lightweight manner to meet user needs.
  • the LiteOS is a lightweight IoT operating system that can be widely used in personal, family and industry-oriented IoT products and solutions for personal wear, smart home, smart lighting, and smart parking .
  • the data base is composed of data lakes and data subject connections.
  • the data lakes are logically a collection of various original data. Structured and unstructured data), the data lake retains the original format of the data, and in principle does not clean or process the data, but for scenarios where data assets are multi-source and heterogeneous, integration processing is required, and data asset registration is required;
  • the data theme connection is to process the data of the data lake according to business flow/event, object/subject, connection and rule calculation, etc., to form theme data oriented to data consumption, which has the characteristics of multi-angle, multi-level, and multi-granularity. Support business analysis, decision-making and execution.
  • the way of connecting data subjects is based on different data consumption demands, including multidimensional models, graphical models, indicators, labels, and algorithmic models.
  • the communication protocols supported by the IoT platform include MQTT, HTTP, TCP, UDP, and CoAP.
  • the beneficial effect of the present invention is that the AIOT PaaS IoT operation platform provided by the present invention includes an application layer, a platform layer, a trusted layer, a network layer, an edge layer and a device layer, and the device layer includes an installation intelligence All IoT devices of the chip; the edge layer builds the data foundation of this IoT operation platform through large-scale and in-depth data collection of IoT devices included in the device layer, as well as protocol conversion and edge processing of heterogeneous data;
  • the network layer is used for transparent transmission of data between the edge layer and the trusted layer;
  • the trusted layer is used to provide trusted infrastructure as a service IaaS;
  • the platform layer provides development, operation and control for the application layer by utilizing the capabilities of the trusted layer.
  • the environment is the middleware function; the application layer calculates, processes, and mines the data collected and transmitted by the edge layer, so as to realize the implementation control, precise management, and scientific decision-making of this IoT operation platform; thus providing convenience for small and medium-sized enterprises.
  • the Internet of Things operation platform used can be applied to multiple scenarios such as smart cities, smart parks, smart communities, smart campuses, smart elderly care, smart agriculture, and smart supply chains.
  • Figure 1 is a system structure diagram of the AIOT PaaS IoT operation platform provided by the embodiment of the present invention.
  • the AIOT PaaS Internet of Things operation platform includes an application layer, a platform layer, a trusted layer, a network layer, an edge layer and a device layer, and the application layer and the platform layer are connected by a computer application program
  • the interface and the network implement data exchange, the platform layer and the trusted layer implement data exchange through a computer application program interface and the network, and the trusted layer and the network layer implement data exchange through a computer application program interface, so
  • the network layer and the edge layer implement data exchange through a computer application program interface, and the edge layer and the device layer implement data exchange through a computer application program interface and a network;
  • the device layer includes all IoT devices installed with smart chips; the edge layer conducts large-scale and in-depth data collection on the IoT devices contained in the device layer, as well as protocol conversion and edge processing of heterogeneous data , constructing the data foundation of this Internet of Things operation platform; the network layer is used for transparent data transmission between the edge layer and the trusted layer; the trusted layer is used to provide trusted infrastructure as a service IaaS; The platform layer provides the application layer with a development, operation, and control environment, that is, middleware functions, by utilizing the capabilities of the trusted layer; the application layer calculates, Processing and knowledge mining, so as to realize the implementation control, precise management and scientific decision-making of this IoT operation platform;
  • the application layer includes a research and development design platform, a production and manufacturing platform, a management platform, a marketing platform, and an intelligent service platform;
  • the research and development design platform is used to provide product design and development functions, so that engineers can build product models on computers, Effective numerical algorithms, mature 3D visualization technology and standard graphical user interface can help enterprises minimize the number of trial production of physical prototypes by simulating product characteristics in real environments and improving product design schemes and work processes based on simulation results. Thereby shortening the design and production cycle, reducing costs, and improving product quality;
  • the manufacturing platform is used to provide a platform for manufacturing products, adopt modular production methods to improve product variety, quality and automation level, improve product assembly quality and shorten product quality.
  • the operation and management platform uses information technology tools and takes the business management process of the enterprise as the main line to centralize the management attributes, division of labor, authorization, notification, decision-making items, quantity, and amount control items involved in the operation process of the enterprise Management and control;
  • the marketing platform includes physical logistics process, ownership process, payment process, that is, payment flow, information and promotion process, providing suppliers, producers, wholesalers and retailers with ownership of goods or services from producers to consumers mobile server;
  • the intelligent service platform supports fast access to various data, algorithms, and smart devices, and provides visual programming tools for management and scheduling of services and resources.
  • the AIOT PaaS IoT operation platform includes application layer, platform layer, trusted layer, network layer, edge layer and device layer.
  • the device layer includes all IoT devices installed with smart chips; The included IoT devices carry out large-scale and in-depth data collection, as well as protocol conversion and edge processing of heterogeneous data, which builds the data foundation of this IoT operation platform; the network layer is used for the communication between the edge layer and the trusted layer.
  • the trusted layer is used to provide trusted infrastructure as a service IaaS;
  • the platform layer provides the application layer with the development, operation and control environment, that is, the middleware function, by utilizing the capabilities of the trusted layer;
  • the collected and transmitted data is calculated, processed and knowledge mined, so as to realize the implementation control, precise management and scientific decision-making of this Internet of Things operation platform; thus providing a convenient and easy-to-use Internet of Things operation platform for small and medium-sized enterprises, which can be applied to smart cities, Multiple scenarios such as smart parks, smart communities, smart campuses, smart elderly care, smart agriculture, and smart supply chains.
  • the platform layer includes an application development platform, a microservice application platform, an enterprise intelligence platform, an integration platform, a data base, an Internet of Things platform, and a general resource deployment and management platform;
  • the application development platform Adopt the JAVA visualization plan, support the rapid design and opening of various frameworks, and support a variety of mainstream databases;
  • the micro-service application platform is based on SpringCloud, and adopts the principle of AKF splitting, front-end and back-end separation principles, stateless service principles, and Restful communication Style principles, providing tools and frameworks for document management, service governance, and service simulation to achieve unified authentication, unified configuration, unified log framework, and distributed summary analysis; It is a unified office platform integrated with cultural construction, which is used to build a whole-process integrated management system of enterprise big data to realize intelligent and
  • the data base is used to integrate internal and external The data is brought together, reorganized and connected to the data, so that the data has a clear definition and a unified structure, and on the premise of respecting data security and privacy, make the data easier to obtain, and finally break the data islands and monopoly, said The data base can manage structured and unstructured data in a unified way, open up data supply channels, ensure the integrity, consistency, and sharing of enterprise data, and ensure data security and controllability; the IoT platform adopts the Jetlinks open source IoT basic platform, which can realize device management , multi-protocol adaptation, data collection, and rule engine to quickly build IoT-related business systems; the general resource deployment and management platform deploys and manages services in the form of components, and tightly manages the development and deployment of services Combined together; and adopt customizable resource statistics strategy and customizable allocation strategy, while increasing the
  • the trusted layer includes a computing service platform, a storage service platform, a network service platform, and a security service platform; the computing service platform is used to extract potential information to realize the value of data; the storage service platform is used to provide intelligent storage processing, supporting primary storage, unstructured data storage, file storage, hybrid storage, distributed storage, and fusion storage; the network service platform is used to Provide full-cycle support for the network, including network architecture optimization, optimal network design, network operation and management; the security service platform is used to provide centralized, unified, and visualized security information management, and dynamically collect various security information in real time Security information correlation analysis and risk assessment, to achieve fast tracking, location and emergency response of security incidents, is a set of measurable unified business support platform established from four dimensions of monitoring, auditing, risk and operation and maintenance.
  • the network layer includes narrowband Internet of Things, eLTE, LTE-V, and 5G;
  • the narrowband Internet of Things is used to support massive connections, has deep coverage capabilities, and low power consumption, and is suitable for sensing , metering, and monitoring industrial data collection applications;
  • the 5G has the characteristics of ultra-high speed, high reliability, and low delay, suitable for industrial communication scenarios, replacing WiFi, Zigbee and WirelessHART wireless communication network technologies;
  • the eLTE is a wireless broadband cluster solution
  • the scheme supports mobile office, remote data collection, VOIP, video surveillance and various wireless broadband data services, and is applicable to multiple fields such as wISP, smart city, education, smart grid, and railway;
  • the LTE-V is a system in accordance with global unified regulations Architecture and its communication protocols and data interaction standards, networking between vehicles and vehicles (V2V), vehicles and infrastructure (V2I), vehicles and pedestrians (V2P), building data sharing and interaction bridges, helping to realize intelligent dynamic information services, vehicle safety driving, and traffic control.
  • the edge layer includes an EC-IoT industrial gateway, an edge computing service IEF, and LiteOS.
  • the device layer includes intelligent transportation equipment, industrial intelligent robots, network intelligent terminal equipment, human body intelligent wearable equipment, engineering intelligent machinery equipment, agricultural intelligent machinery equipment, CNC machine tools, intelligent sensors, intelligent acquisition Transmitters, smart transmitters, embedded smart systems.
  • the EC-IoT industrial gateway converts devices with two different protocols into corresponding protocols capable of communicating for bidirectional data transmission;
  • the edge computing service IEF is Intelligent EdgeFabric is an edge-cloud collaborative operating system based on cloud-native technology. It can run on a variety of edge devices and deploy rich AI, IoT and data analysis intelligent applications from the cloud in a lightweight manner.
  • the LiteOS is a lightweight Internet of Things operating system, which can be widely used in personal, family and industry-oriented applications such as personal wear, smart home, smart lighting, and smart parking. IoT products and solutions.
  • the data base is composed of a data lake and a data topic connection.
  • the data lake is a logical collection of various original data. In addition to the "raw” feature, it also has "massive” And “variety” (including structured and unstructured data), the data lake retains the original format of the data, and in principle does not clean or process the data, but for the scene of multi-source heterogeneous data assets, it needs to be integrated and processed.
  • register data assets; the data theme connection is to process the data of the data lake according to business flow/event, object/subject connection and rule calculation, etc., to form theme data oriented to data consumption, with multi-angle and multi-level , Multi-granularity features, supporting business analysis, decision-making and execution.
  • the way of connecting data subjects is based on different data consumption requirements, including multidimensional models, graph models, indicators, labels, and algorithm models.
  • the communication protocols supported by the Internet of Things platform include MQTT, HTTP, TCP, UDP, and CoAP.
  • the implementation of all platforms involved in the technical solution of the present invention adopts open, mature, open-source program architecture and program codes, and those skilled in the art can easily adopt existing, Open program structure and program code implementation.

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Abstract

AIOT PaaS物联网运营平台，包括应用层、平台层、可信层、网络层、边缘层以及设备层，设备层包括安装智能芯片的所有物联网设备；边缘层通过对设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了本物联网运营平台的数据基础；网络层用于边缘层与可信层之间的数据透明传送；可信层用于提供可信基础设施即服务IaaS；平台层通过利用可信层的能力，为应用层提供开发、运行和管控环境即中间件功能；应用层通过对边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现本物联网运营平台的实施控制、精确管理和科学决策。

Description

AIOT PaaS物联网运营平台 技术领域
本发明涉及物联网运营平台领域，具体涉及一种AIOT PaaS物联网运营平台。
背景技术
PaaS(Platform as a Service，平台即服务)是一种把应用服务的运行和开发环境作为一种服务提供的商业模式。PaaS为开发人员提供了构建应用程序的环境，借助于PaaS服务无须过多的考虑底层硬件，并可以方便的使用很多在构建应用时的必要服务。PaaS能将现有各种业务能力进行整合，具体可以归类为应用服务器、业务能力接入、业务引擎、业务开放平台，向下根据业务能力需要测算基础服务能力，通过IaaS提供的API调用硬件资源，向上提供业务调度中心服务，实时监控平台的各种资源，并将这些资源通过API开放给SaaS用户。PaaS的实质是将互联网的资源服务化为可编程接口，为第三方开发者提供有商业价值的资源和服务平台。有了PaaS的支撑，云计算的开发者就获得了大量的可编程元素，这些可编程元素有具体的业务逻辑，这就为开发带来了极大的方便，不但提高了开发效率，还节约了开发成本。有了PaaS的支持，WEB应用的开发变得更加敏捷，能够快速响应用户需求的开发能力，也为最终用户带来了实实在在的利益。
目前，物联网运营平台服务存在的主要问题是第三方大型平台准入门槛高，规模大，难以为中小型企业提供快捷便利的物联网运营平台服务；因此借助PaaS的优点，能够为中小型企业提供方便易用的物联网运营平台。
发明内容
为了解决现有物联网运营平台服务存在的上述问题，本发明的目的是提供AIOT PaaS物联网运营平台，旨在为中小型企业提供方便易用的物联网运营平台，能够应用于智慧城市、智慧园区、智慧社区、智慧校园、智慧养老、智慧农业、智慧供应链等多个场景。
为了达到上述目的，本发明所采用的技术方案是：本发明提供了一种AIOT PaaS物联网运营平台，包括应用层、平台层、可信层、网络层、边缘层以及设备层，所述应用层与所述平台层之间通过计算机应用程序接口和网络实现数据交换，所述平台层和所述可信层通过计算机应用程序接口和网络实现数据交换，所述可信层与所述网络层之间通过计算机应用程序接口实现数据交换，所述网络层和所述边缘层通过计算机应用程序接口实现数据交换，所述边缘层和所述设备层通过计算机应用程序接口和网络实现数据交换；
所述设备层包括安装智能芯片的所有物联网设备；所述边缘层通过对所述设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了本物联网运营平台的数据基础；所述网络层用于所述边缘层与所述可信层之间的数据透明传送；所述可信层用于提供可信基础设施即服务IaaS；所述平台层通过利用所述可信层的能力，为所述应用层提供开发、运行和管控环境即中间件功能；所述应用层通过对所述边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现本物联网运营平台的实施控制、精确管理和科学决策；
所述应用层包括研发设计平台、生产制造平台、经营管理平台、市场营销平台、智能服务平台；所述研发设计平台用于提供产品设计研发功能，以使工 程师能够在计算机上建立产品模型，通过有效的数值算法、成熟的三维可视化技术以及标准的图形用户界面，通过模拟现实环境下的产品特性，并根据仿真结果改进产品设计方案与工作过程，帮助企业最大限度地减少物理样机的试制次数，从而缩短设计和生产周期，降低成本，提高产品质量；所述生产制造平台用于提供生产制造产品的平台，采用模块化生产方式提高产品的品种、质量和自动化水平，提高产品装配质量并缩短产品的生产周期；所述经营管理平台通过信息技术工具，以企业的业务管理流程为主线，对企业运营过程中涉及的管理属性、分工、授权、知会、决策项、数量、金额控制项进行集中管理管控；所述市场营销平台包括实物物流流程、所有权流程、付款流程即支付流、信息以及促销流程，为供应商、生产者、批发商和零售商提供货物或劳务所有权从生产者向消费者的移动服务器；所述智能服务平台支持快速接入各种数据、算法和智能设备，并提供可视化编程工具进行服务和资源的管理及调度，通过AI服务组件集成和标准化接口开放，降低AI应用开发成本，帮助企业数字化转型及促进AI行业生态共建。
进一步地，所述平台层包括应用开发平台、微服务应用平台、企业智能平台、集成平台、数据底座、物联网平台、通用资源部署和管理平台；所述应用开发平台用于实现业务的流程化、模块化和服务化，减少软件产品的研发周期提高软件产品的质量，降低沟通成本与加快软件产品变更的反应速度，实现业务数据的统一和标准化，所述应用开发平台采用JAVA可视化计划，支持多种框架的快速设计及开放，支持多种主流数据库；所述微服务应用平台以SpringCloud为基础，采用AKF拆分原则、前后端分离原则、无状态服务原则、Restful通信风格原则，提供文档管理、服务治理、服务模拟的工具和框架，实现统一认证、统一配置、统一日志框架以及分布式汇总分析；所述企业智能平台为日常办公、 项目管理、客户管理、销售数据、文化建设为一体的统一办公平台，用于打造企业大数据全程一体化管理体系实现销售、客户、生产、库存、采购、人资、财务、办公等全程智能、精细化管理，涵盖CRM、项目管理、ERP进销存系统功能、可视化大数据分析；所述集成平台为支持复杂信息环境下应用开发和系统集成运行的软件平台，基于制造业信息特征，在异构分布环境(操作系统、网络、数据库)下提供透明、一致的信息访问和交互手段，对其运行上的应用进行管理，为应用提供服务，并支持各特定领域应用系统的集成；所述数据底座用于将企业内部和外部的数据汇聚在一起，对数据进行重新组织和联接，让数据有清晰的定义和统一的结构，并在尊重数据安全与隐私的前提下，让数据更易获取，最终打破数据孤岛和垄断，所述数据底座能够统一管理结构化、非结构化数据，打通数据供应通道，确保企业数据完整、一致、共享，保障数据安全可控；所述物联网平台采用Jetlinks开源物联网基础平台，能够实现设备管理、多协议适配、数据收集、规则引擎，快速构建物联网相关业务系统；所述通用资源部署和管理平台通过将服务以组件的形式进行部署和管理，并将服务的开发和部署管理紧密的结合在一起；并采用可定制的资源统计策略以及可定制的分配策略，在增加系统的可扩展性的同时，应对服务对不同资源的要求并且合理的进行自动化节点分配，以实现对外提供了对分布式集群服务的自动化部署和管理的功能。
进一步地，所述可信层包括计算服务平台、存储服务平台、网络服务平台、安全服务平台；所述计算服务平台用于将数据通过整合、加工、计算之后提取潜在的信息，以实现数据的价值；所述存储服务平台用于提供智能存储处理，支持主存储、非结构化数据存储、文件存储、混合存储、分布式存储、融合存储；所述网络服务平台用于为网络提供全周期支持，包括网络架构优化、最佳 网络设计、网络运营和管理；所述安全服务平台用于提供集中、统一、可视化的安全信息管理，通过实时采集各种安全信息，动态进行安全信息关联分析与风险评估，实现安全事件的快速跟踪、定位和应急响应，是从监控、审计、风险和运维四个维度建立起来的一套可度量的统一业务支撑平台。
进一步地，所述网络层包括窄带物联网、eLTE、LTE-V、5G；所述窄带物联网用于支持海量连接、有深度覆盖能力、功耗低，适合于传感、计量、监控的工业数据采集应用；所述5G拥有超高速，高可靠，低时延的特性，适合工业通信场景，取代WiFi、Zigbee和WirelessHART无线通信网络技术；所述eLTE是无线宽带集群解决方案，支持移动办公、远程数据采集、VOIP、视频监控多种无线宽带数据业务，适用于wISP、智慧城市、教育、智能电网、铁路多个领域；所述LTE-V是按照全球统一规定的体系架构及其通信协议和数据交互标准，在车辆与车辆(V2V)、车辆与基础设施(V2I)、车辆与行人(V2P)之间组网，构建数据共享交互桥梁，助力实现智能化的动态信息服务、车辆安全驾驶、交通管控。
进一步地，所述边缘层包括EC-IoT工业网关、边缘计算服务IEF、LiteOS。
进一步地，所述设备层包括智能运输设备、工业智能机器人、网络智能终端设备、人体智能穿戴设备、工程智能机械设备、农业智能机械设备、数控机床、智能传感器、智能采集器、智能变送器、嵌入式智能系统。
进一步地，所述EC-IoT工业网关是将两种不同协议的设备进行相应的转换，转换成相应能进行通信的协议进行数据的双向传输；所述边缘计算服务IEF为智能边缘平台(Intelligent EdgeFabric)，是基于云原生技术构建的边云协同操作系统，可运行在多种边缘设备上，将丰富的AI、IoT及数据分析的智能应用以轻量化的方式从云端部署到边缘，满足用户对智能应用边云协同的业务诉求； 所述LiteOS为轻量级物联网操作系统，可广泛应用于个人穿戴、智能家居、智能照明、智能停车的面向个人、家庭和行业的物联网产品和解决方案。
进一步地，所述数据底座由数据湖和数据主题联接组成，所述数据湖是逻辑上各种原始数据的集合，除了“原始”这一特征外，还具有“海量”和“多样”(包含结构化、非结构化数据)的特征，所述数据湖保留数据的原格式，原则上不对数据进行清洗、加工，但对于数据资产多源异构的场景需要整合处理，并进行数据资产注册；所述数据主题联接是对所述数据湖的数据按业务流/事件、对象/主体进行联接和规则计算等处理，形成面向数据消费的主题数据，具有多角度、多层次、多粒度的特征，支撑业务分析、决策与执行。
进一步地，所述数据主题联接的方式基于不同的数据消费诉求，包括多维模型、图模型、指标、标签、算法模型。
进一步地，所述物联网平台支持的通信协议包括MQTT、HTTP、TCP、UDP、CoAP。
与现有技术相比，本发明的有益效果在于，本发明提供的AIOT PaaS物联网运营平台，包括应用层、平台层、可信层、网络层、边缘层以及设备层，设备层包括安装智能芯片的所有物联网设备；边缘层通过对设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了本物联网运营平台的数据基础；网络层用于边缘层与可信层之间的数据透明传送；可信层用于提供可信基础设施即服务IaaS；平台层通过利用可信层的能力，为应用层提供开发、运行和管控环境即中间件功能；应用层通过对边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现本物联网运营平台的实施控制、精确管理和科学决策；从而为中小型企业提供方便易用的物联网运营平台，能够应用于智慧城市、智慧园区、智慧社区、智慧校园、智 慧养老、智慧农业、智慧供应链等多个场景。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是本发明实施例提供的AIOT PaaS物联网运营平台的系统结构图。
具体实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
本实施例的附图中相同或相似的标号对应相同或相似的部件；在本发明的描述中，需要理解的是，若有术语“上”、“下”、“左”、“右”等指示的方位或位置关系为基于附图所示的方位或位置关系，仅是为了便于描述本发明和简化描述，而不是指示或暗示所指的装置或元件必须具有特定的方位、以特定的方位构造和操作，因此附图中描述位置关系的用语仅用于示例性说明，不能理解为对本专利的限制，对于本领域的普通技术人员而言，可以根据具体情况理解上述术语的具体含义。
以下结合附图与具体实施例，对本发明的技术方案做详细的说明。
参照图1，本发明提供的AIOT PaaS物联网运营平台，包括应用层、平台层、可信层、网络层、边缘层以及设备层，所述应用层与所述平台层之间通过计算 机应用程序接口和网络实现数据交换，所述平台层和所述可信层通过计算机应用程序接口和网络实现数据交换，所述可信层与所述网络层之间通过计算机应用程序接口实现数据交换，所述网络层和所述边缘层通过计算机应用程序接口实现数据交换，所述边缘层和所述设备层通过计算机应用程序接口和网络实现数据交换；
所述设备层包括安装智能芯片的所有物联网设备；所述边缘层通过对所述设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了本物联网运营平台的数据基础；所述网络层用于所述边缘层与所述可信层之间的数据透明传送；所述可信层用于提供可信基础设施即服务IaaS；所述平台层通过利用所述可信层的能力，为所述应用层提供开发、运行和管控环境即中间件功能；所述应用层通过对所述边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现本物联网运营平台的实施控制、精确管理和科学决策；
所述应用层包括研发设计平台、生产制造平台、经营管理平台、市场营销平台、智能服务平台；所述研发设计平台用于提供产品设计研发功能，以使工程师能够在计算机上建立产品模型，通过有效的数值算法、成熟的三维可视化技术以及标准的图形用户界面，通过模拟现实环境下的产品特性，并根据仿真结果改进产品设计方案与工作过程，帮助企业最大限度地减少物理样机的试制次数，从而缩短设计和生产周期，降低成本，提高产品质量；所述生产制造平台用于提供生产制造产品的平台，采用模块化生产方式提高产品的品种、质量和自动化水平，提高产品装配质量并缩短产品的生产周期；所述经营管理平台通过信息技术工具，以企业的业务管理流程为主线，对企业运营过程中涉及的管理属性、分工、授权、知会、决策项、数量、金额控制项进行集中管理管控； 所述市场营销平台包括实物物流流程、所有权流程、付款流程即支付流、信息以及促销流程，为供应商、生产者、批发商和零售商提供货物或劳务所有权从生产者向消费者的移动服务器；所述智能服务平台支持快速接入各种数据、算法和智能设备，并提供可视化编程工具进行服务和资源的管理及调度，通过AI服务组件集成和标准化接口开放，降低AI应用开发成本，帮助企业数字化转型及促进AI行业生态共建。
上述技术方案提供的AIOT PaaS物联网运营平台，包括应用层、平台层、可信层、网络层、边缘层以及设备层，设备层包括安装智能芯片的所有物联网设备；边缘层通过对设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了本物联网运营平台的数据基础；网络层用于边缘层与可信层之间的数据透明传送；可信层用于提供可信基础设施即服务IaaS；平台层通过利用可信层的能力，为应用层提供开发、运行和管控环境即中间件功能；应用层通过对边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现本物联网运营平台的实施控制、精确管理和科学决策；从而为中小型企业提供方便易用的物联网运营平台，能够应用于智慧城市、智慧园区、智慧社区、智慧校园、智慧养老、智慧农业、智慧供应链等多个场景。
作为本发明的一种实施方式，所述平台层包括应用开发平台、微服务应用平台、企业智能平台、集成平台、数据底座、物联网平台、通用资源部署和管理平台；所述应用开发平台用于实现业务的流程化、模块化和服务化，减少软件产品的研发周期提高软件产品的质量，降低沟通成本与加快软件产品变更的反应速度，实现业务数据的统一和标准化，所述应用开发平台采用JAVA可视化计划，支持多种框架的快速设计及开放，支持多种主流数据库；所述微服务应 用平台以SpringCloud为基础，采用AKF拆分原则、前后端分离原则、无状态服务原则、Restful通信风格原则，提供文档管理、服务治理、服务模拟的工具和框架，实现统一认证、统一配置、统一日志框架以及分布式汇总分析；所述企业智能平台为日常办公、项目管理、客户管理、销售数据、文化建设为一体的统一办公平台，用于打造企业大数据全程一体化管理体系实现销售、客户、生产、库存、采购、人资、财务、办公等全程智能、精细化管理，涵盖CRM、项目管理、ERP进销存系统功能、可视化大数据分析；所述集成平台为支持复杂信息环境下应用开发和系统集成运行的软件平台，基于制造业信息特征，在异构分布环境(操作系统、网络、数据库)下提供透明、一致的信息访问和交互手段，对其运行上的应用进行管理，为应用提供服务，并支持各特定领域应用系统的集成；所述数据底座用于将企业内部和外部的数据汇聚在一起，对数据进行重新组织和联接，让数据有清晰的定义和统一的结构，并在尊重数据安全与隐私的前提下，让数据更易获取，最终打破数据孤岛和垄断，所述数据底座能够统一管理结构化、非结构化数据，打通数据供应通道，确保企业数据完整、一致、共享，保障数据安全可控；所述物联网平台采用Jetlinks开源物联网基础平台，能够实现设备管理、多协议适配、数据收集、规则引擎，快速构建物联网相关业务系统；所述通用资源部署和管理平台通过将服务以组件的形式进行部署和管理，并将服务的开发和部署管理紧密的结合在一起；并采用可定制的资源统计策略以及可定制的分配策略，在增加系统的可扩展性的同时，应对服务对不同资源的要求并且合理的进行自动化节点分配，以实现对外提供了对分布式集群服务的自动化部署和管理的功能。
作为本发明的一种实施方式，所述可信层包括计算服务平台、存储服务平台、网络服务平台、安全服务平台；所述计算服务平台用于将数据通过整合、 加工、计算之后提取潜在的信息，以实现数据的价值；所述存储服务平台用于提供智能存储处理，支持主存储、非结构化数据存储、文件存储、混合存储、分布式存储、融合存储；所述网络服务平台用于为网络提供全周期支持，包括网络架构优化、最佳网络设计、网络运营和管理；所述安全服务平台用于提供集中、统一、可视化的安全信息管理，通过实时采集各种安全信息，动态进行安全信息关联分析与风险评估，实现安全事件的快速跟踪、定位和应急响应，是从监控、审计、风险和运维四个维度建立起来的一套可度量的统一业务支撑平台。
作为本发明的一种实施方式，所述网络层包括窄带物联网、eLTE、LTE-V、5G；所述窄带物联网用于支持海量连接、有深度覆盖能力、功耗低，适合于传感、计量、监控的工业数据采集应用；所述5G拥有超高速，高可靠，低时延的特性，适合工业通信场景，取代WiFi、Zigbee和WirelessHART无线通信网络技术；所述eLTE是无线宽带集群解决方案，支持移动办公、远程数据采集、VOIP、视频监控多种无线宽带数据业务，适用于wISP、智慧城市、教育、智能电网、铁路多个领域；所述LTE-V是按照全球统一规定的体系架构及其通信协议和数据交互标准，在车辆与车辆(V2V)、车辆与基础设施(V2I)、车辆与行人(V2P)之间组网，构建数据共享交互桥梁，助力实现智能化的动态信息服务、车辆安全驾驶、交通管控。
作为本发明的一种实施方式，所述边缘层包括EC-IoT工业网关、边缘计算服务IEF、LiteOS。
作为本发明的一种实施方式，所述设备层包括智能运输设备、工业智能机器人、网络智能终端设备、人体智能穿戴设备、工程智能机械设备、农业智能机械设备、数控机床、智能传感器、智能采集器、智能变送器、嵌入式智能系 统。
作为本发明的一种实施方式，所述EC-IoT工业网关是将两种不同协议的设备进行相应的转换，转换成相应能进行通信的协议进行数据的双向传输；所述边缘计算服务IEF为智能边缘平台(Intelligent EdgeFabric)，是基于云原生技术构建的边云协同操作系统，可运行在多种边缘设备上，将丰富的AI、IoT及数据分析的智能应用以轻量化的方式从云端部署到边缘，满足用户对智能应用边云协同的业务诉求；所述LiteOS为轻量级物联网操作系统，可广泛应用于个人穿戴、智能家居、智能照明、智能停车的面向个人、家庭和行业的物联网产品和解决方案。
作为本发明的一种实施方式，所述数据底座由数据湖和数据主题联接组成，所述数据湖是逻辑上各种原始数据的集合，除了“原始”这一特征外，还具有“海量”和“多样”(包含结构化、非结构化数据)的特征，所述数据湖保留数据的原格式，原则上不对数据进行清洗、加工，但对于数据资产多源异构的场景需要整合处理，并进行数据资产注册；所述数据主题联接是对所述数据湖的数据按业务流/事件、对象/主体进行联接和规则计算等处理，形成面向数据消费的主题数据，具有多角度、多层次、多粒度的特征，支撑业务分析、决策与执行。
作为本发明的一种实施方式，所述数据主题联接的方式基于不同的数据消费诉求，包括多维模型、图模型、指标、标签、算法模型。
作为本发明的一种实施方式，所述物联网平台支持的通信协议包括MQTT、HTTP、TCP、UDP、CoAP。
优选地，本发明技术方案所涉及的所有平台的实现方式均采用公开的、成熟的、开源的程序架构及程序代码，本领域的技术人员根据本技术方案描述的 功能可以轻易采用已有的、公开的程序架构及程序代码实现。
以上对本发明的实施例进行了详细的说明，但本发明的创造并不限于本实施例，熟悉本领域的技术人员在不违背本发明精神的前提下，还可以做出许多同等变型或替换，这些同等变型或替换均包含在本申请的权利要求所限定的保护范围内。

Claims (10)

  1. AIOT PaaS物联网运营平台，其特征在于，包括应用层、平台层、可信层、网络层、边缘层以及设备层，所述应用层与所述平台层之间通过计算机应用程序接口和网络实现数据交换，所述平台层和所述可信层通过计算机应用程序接口和网络实现数据交换，所述可信层与所述网络层之间通过计算机应用程序接口实现数据交换，所述网络层和所述边缘层通过计算机应用程序接口实现数据交换，所述边缘层和所述设备层通过计算机应用程序接口和网络实现数据交换；
    所述设备层包括安装智能芯片的所有物联网设备；所述边缘层通过对所述设备层所包含的物联网设备进行大范围、深层次的数据采集，以及异构数据的协议转换与边缘处理，构建了所述物联网运营平台的数据基础；所述网络层用于所述边缘层与所述可信层之间的数据透明传送；所述可信层用于提供可信基础设施即服务IaaS；所述平台层通过利用所述可信层的能力，为所述应用层提供开发、运行和管控环境即中间件功能；所述应用层通过对所述边缘层采集汇集和传输的数据进行计算、处理和知识挖掘，从而实现所述物联网运营平台的实施控制、精确管理和科学决策；
    所述应用层包括研发设计平台、生产制造平台、经营管理平台、市场营销平台、智能服务平台；所述研发设计平台用于提供产品设计研发功能，以使工程师能够在计算机上建立产品模型，通过有效的数值算法、成熟的三维可视化技术以及标准的图形用户界面，通过模拟现实环境下的产品特性，并根据仿真结果改进产品设计方案与工作过程，帮助企业最大限度地减少物理样机的试制次数，从而缩短设计和生产周期，降低成本，提高产品质量；所述生产制造平台用于提供生产制造产品的平台，采用模块化生产方式提高产品的品种、质量和自动化水平，提高产品装配质量并缩短产品的生产周期；所述经营管理平台通过信息技术工具，以企业的业务管理流程为主线，对企业运营过程中涉及的 管理属性、分工、授权、知会、决策项、数量、金额控制项进行集中管理管控；所述市场营销平台包括实物物流流程、所有权流程、付款流程即支付流、信息以及促销流程，为供应商、生产者、批发商和零售商提供货物或劳务所有权从生产者向消费者的移动服务器；所述智能服务平台支持快速接入各种数据、算法和智能设备，并提供可视化编程工具进行服务和资源的管理及调度，通过AI服务组件集成和标准化接口开放，降低AI应用开发成本，帮助企业数字化转型及促进AI行业生态共建。
  2. 根据权利要求1所述的AIOT PaaS物联网运营平台，其特征在于，所述平台层包括应用开发平台、微服务应用平台、企业智能平台、集成平台、数据底座、物联网平台、通用资源部署和管理平台；所述应用开发平台用于实现业务的流程化、模块化和服务化，减少软件产品的研发周期提高软件产品的质量，降低沟通成本与加快软件产品变更的反应速度，实现业务数据的统一和标准化，所述应用开发平台采用JAVA可视化计划，支持多种框架的快速设计及开放，支持多种主流数据库；所述微服务应用平台以SpringCloud为基础，采用AKF拆分原则、前后端分离原则、无状态服务原则、Restful通信风格原则，提供文档管理、服务治理、服务模拟的工具和框架，实现统一认证、统一配置、统一日志框架以及分布式汇总分析；所述企业智能平台为日常办公、项目管理、客户管理、销售数据、文化建设为一体的统一办公平台，用于打造企业大数据全程一体化管理体系实现销售、客户、生产、库存、采购、人资、财务、办公等全程智能、精细化管理，涵盖CRM、项目管理、ERP进销存系统功能、可视化大数据分析；所述集成平台为支持复杂信息环境下应用开发和系统集成运行的软件平台，基于制造业信息特征，在异构分布环境下提供透明、一致的信息访问和交互手段，对其运行上的应用进行管理，为应用提供服务，并支持各特定领 域应用系统的集成；所述数据底座用于将企业内部和外部的数据汇聚在一起，对数据进行重新组织和联接，让数据有清晰的定义和统一的结构，并在尊重数据安全与隐私的前提下，让数据更易获取，最终打破数据孤岛和垄断，所述数据底座能够统一管理结构化、非结构化数据，打通数据供应通道，确保企业数据完整、一致、共享，保障数据安全可控；所述物联网平台采用Jetlinks开源物联网基础平台，能够实现设备管理、多协议适配、数据收集、规则引擎，快速构建物联网相关业务系统；所述通用资源部署和管理平台通过将服务以组件的形式进行部署和管理，并将服务的开发和部署管理紧密的结合在一起；并采用可定制的资源统计策略以及可定制的分配策略，在增加系统的可扩展性的同时，应对服务对不同资源的要求并且合理的进行自动化节点分配，以实现对外提供了对分布式集群服务的自动化部署和管理的功能。
  3. 根据权利要求1所述的AIOT PaaS物联网运营平台，其特征在于，所述可信层包括计算服务平台、存储服务平台、网络服务平台、安全服务平台；所述计算服务平台用于将数据通过整合、加工、计算之后提取潜在的信息，以实现数据的价值；所述存储服务平台用于提供智能存储处理，支持主存储、非结构化数据存储、文件存储、混合存储、分布式存储、融合存储；所述网络服务平台用于为网络提供全周期支持，包括网络架构优化、最佳网络设计、网络运营和管理；所述安全服务平台用于提供集中、统一、可视化的安全信息管理，通过实时采集各种安全信息，动态进行安全信息关联分析与风险评估，实现安全事件的快速跟踪、定位和应急响应，是从监控、审计、风险和运维四个维度建立起来的一套可度量的统一业务支撑平台。
  4. 根据权利要求1所述的AIOT PaaS物联网运营平台，其特征在于，所述网络层包括窄带物联网、eLTE、LTE-V、5G；所述窄带物联网用于支持海量连接、 有深度覆盖能力、功耗低，适合于传感、计量、监控的工业数据采集应用；所述5G拥有超高速，高可靠，低时延的特性，适合工业通信场景；所述eLTE是无线宽带集群解决方案，支持移动办公、远程数据采集、VOIP、视频监控多种无线宽带数据业务；所述LTE-V是按照全球统一规定的体系架构及其通信协议和数据交互标准，在车辆与车辆、车辆与基础设施、车辆与行人之间组网，构建数据共享交互桥梁，助力实现智能化的动态信息服务、车辆安全驾驶、交通管控。
  5. 根据权利要求1所述的AIOT PaaS物联网运营平台，其特征在于，所述边缘层包括EC-IoT工业网关、边缘计算服务IEF、LiteOS。
  6. 根据权利要求1所述的AIOT PaaS物联网运营平台，其特征在于，所述设备层包括智能运输设备、工业智能机器人、网络智能终端设备、人体智能穿戴设备、工程智能机械设备、农业智能机械设备、数控机床、智能传感器、智能采集器、智能变送器、嵌入式智能系统。
  7. 根据权利要求5所述的AIOT PaaS物联网运营平台，其特征在于，所述EC-IoT工业网关是将两种不同协议的设备进行相应的转换，转换成相应能进行通信的协议进行数据的双向传输；所述边缘计算服务IEF为智能边缘平台，是基于云原生技术构建的边云协同操作系统；所述LiteOS为轻量级物联网操作系统。
  8. 根据权利要求2所述的AIOT PaaS物联网运营平台，其特征在于，所述数据底座由数据湖和数据主题联接组成，所述数据湖是逻辑上各种原始数据的集合，所述数据湖保留数据的原格式，原则上不对数据进行清洗、加工，但对于数据资产多源异构的场景需要整合处理，并进行数据资产注册；所述数据主题联接是对所述数据湖的数据按业务流/事件、对象/主体进行联接和规则计算等处 理，形成面向数据消费的主题数据，具有多角度、多层次、多粒度的特征，支撑业务分析、决策与执行。
  9. 根据权利要求8所述的AIOT PaaS物联网运营平台，其特征在于，所述数据主题联接的方式基于不同的数据消费诉求，包括多维模型、图模型、指标、标签、算法模型。
  10. 根据权利要求2所述的AIOT PaaS物联网运营平台，其特征在于，所述物联网平台支持的通信协议包括MQTT、HTTP、TCP、UDP、CoAP。
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