WO2019104952A1

WO2019104952A1 - Scene intelligent analysis system and method based on metropolitan area level internet of things perceptual data

Info

Publication number: WO2019104952A1
Application number: PCT/CN2018/087233
Authority: WO
Inventors: 鲍敏
Original assignee: 特斯联（北京）科技有限公司
Priority date: 2017-11-28
Filing date: 2018-05-17
Publication date: 2019-06-06
Also published as: CN107995278A; CN107995278B

Abstract

The invention belongs to the technical field of Internet of Things analysis, and in particular relates to a scene intelligent analysis system and method on the basis of metropolitan area level Internet of Things (LoT) perceptual data. The scene intelligent analysis system based on the metropolitan area level LoT perceptual data comprises a metropolitan area level IoT perceptual layer, a metropolitan area level IoT network layer, a metropolitan area level IoT data layer, and a metropolitan area level IoT application layer. In the scene intelligent analysis system and method based on the metropolitan area level IoT perceptual data, data are collected using multiple types of LoT in a metropolitan area level space and are abstracted in multi-scale, such as comparing the scale of the entire urban area with a macroscopic view, and comparing the scale of a certain part of the urban area with a microscopic view; and various factors are used to perform pattern recognition analysis of the scene, wherein a multi-parameter model analysis can be performed by integrating air particulate matter status, pollution source discharge status, wind direction and wind speed, urban traffic conditions, etc., and decisions can be made using artificial intelligence.

Description

一种基于城域级物联网感知数据的场景智能分析***与方法Scene intelligent analysis system and method based on metropolitan level Internet of Things sensing data

技术领域Technical field

本发明属于物联网分析技术领域，尤其是涉及一种基于城域级物联网感知数据的场景智能分析***与方法。The invention belongs to the technical field of Internet of Things analysis, and in particular relates to a scene intelligent analysis system and method based on metro-level Internet of Things sensing data.

背景技术Background technique

物联网(The Internet of Things，简称IOT)是继计算机、互联网及通信网之后的又一次信息产业发展的浪潮，被认为是第三次信息革命。物联网是具有全面感知、可靠传输、智能处理特征，是能够连接物理世界的网络。它具有感知、传输、信息处理三层架构，是互联网和通信网的拓展应用与网络延伸,它可以改变人们的工作生活方式、提升对世界的精准控制，从而实现科学决策与资源优化配置等功能作用。我国政府于2009年把“发展物联网产业”写进“政府工作报告”，将其列为我国五大新兴战略性产业之一，极大地推动了物联网产业发展。作为一种新技术的产生和发展，物联网对整个社会包括交通行业的影响巨大而又深远。深入研究物联网下的信息采集、传输、处理和服务的特征，对基于物联网下的区域信息网络进行***研究，是行业信息化发展的现实需求，将有利于提升体系效能，推动产业结构调整和产业升级。物联网并非单一的技术逻辑的产物，我们可以将它理解为人与物的深度对话机制和双向的信息翻译机制，有效解决了自然主体之间信息传播的虚拟间性难题。物联化进程在当代已经成为人类更为直接的历史实践主题和更加自觉的社会发展选择，通过信息论的视角来诠释物联网的内在机理，通过媒介观的变革来解读物联网的演进规律，通过形而上的思考来剖析物联网的认知逻辑，将自然界与人类社会在物联网视域中的现实交往关系奠基于更深刻的理论基点之上，是科学的人文性和技术的社会性必然要面临的重要命题，具有很好的社会历史价值和现实意义。物联网在信息传播中的优势释放了其媒体价值，物联网对信息资源的聚合力和信息传输的渗透力奠定了其传播影响力的雄厚基础，自然也催生了传播形态的深刻变革。我们基于物联网环境下“人一机一物”三类主体所对应的用户空间域，信息空间域，物理空间域的三元体系架构，以及贯穿其间的控制流，数据流，感知流的动态交互模式，针对三元动态空间域的信息传播过程，提出了物联世界中的交往形态问题，重点解决如何在同时具备物理环境实体异构、信息空间动态交互、用户需求复杂多变的物联网环境中通过多主体关系之间的相互作用来实现智慧物联网传播。The Internet of Things (IOT) is another wave of information industry development after computers, Internet and communication networks. It is considered to be the third information revolution. The Internet of Things is a network with comprehensive sensing, reliable transmission, and intelligent processing. It is a network that can connect to the physical world. It has three layers of sensing, transmission and information processing. It is an extension application and network extension of the Internet and communication network. It can change people's working life and improve the precise control of the world, thus realizing scientific decision-making and resource optimization configuration. effect. In 2009, the Chinese government wrote “Developing the Internet of Things Industry” into the “Government Work Report” and listed it as one of the five emerging strategic industries in China, which greatly promoted the development of the Internet of Things industry. As a new technology, the impact of the Internet of Things on the entire society, including the transportation industry, is enormous and far-reaching. In-depth study of the characteristics of information collection, transmission, processing and service under the Internet of Things, systematic research on regional information networks based on the Internet of Things is a realistic demand for the development of information technology in the industry, which will help improve system efficiency and promote industrial restructuring. And industrial upgrading. The Internet of Things is not a product of a single technical logic. We can understand it as a deep dialogue mechanism between people and things and a two-way information translation mechanism, effectively solving the virtual inter-submarine problem of information dissemination between natural subjects. In the contemporary era, the process of materialization has become a more direct historical practice theme and a more conscious social development choice for human beings. It interprets the internal mechanism of the Internet of Things through the perspective of information theory, and interprets the evolution of the Internet of Things through the transformation of media views. Metaphysical thinking to analyze the cognitive logic of the Internet of Things, based on the deeper theoretical basis of the relationship between nature and human society in the field of Internet of Things, is the humanity of science and the social nature of technology must face The important proposition has a good social historical value and practical significance. The advantage of the Internet of Things in information dissemination has released its media value. The Internet of Things's cohesiveness of information resources and the penetration of information transmission have laid a solid foundation for its influence. It has naturally led to profound changes in the form of communication. We are based on the user space domain, the information space domain, the ternary architecture of the physical space domain, and the control flow, data flow, and perceptual flow dynamics corresponding to the three types of subjects: "one person, one thing" in the Internet of Things environment. The interaction mode, for the information dissemination process of the ternary dynamic space domain, proposes the communication form problem in the Internet of Things, focusing on how to have the physical environment entity heterogeneous, the information space dynamic interaction, the user demand complex and changeable Internet of Things In the environment, intelligent IoT communication is realized through the interaction between multi-agent relationships.

回望互联网技术革命的演进线路：时代的“内容传播信息搜索”，是网络泛传播时代；时代的“个体创造群体协作”，是网络社会形成时代；时代的“万物感知智慧控制”，是人类社会与物质世界全方位互联的信息交互时代。现在的完成了计算机的大规模互联与数据共享的使命，未来网络的规模将远远超过现在的互联网，实现更加智能化和泛在化的互联，首先是移动互联网中手机与手机的互联，社交网络中人与人的互联，物联网中人与物、物与物的互联，最终完成现实世界与信息世界的完全融合。这将是一个超大尺度、无限聚融、层级丰富、和谐运行的复杂网络体系，实现着任何信息主体在任何时间、任何地点访问任何信息源的世界形态，它为我们描绘出各类信息主体之间相互叠加、高度融合、自由转换的理想化交互图景，也使我们的地球真正变成一个整合统一的立体化信息***。Looking back on the evolution of the Internet technology revolution: the era of "content communication information search" is the era of network universal communication; the era of "individual creation group collaboration" is the era of network society formation; the era of "all things perception wisdom control" is human The era of information exchange between society and the material world. Now the mission of large-scale interconnection and data sharing of computers has been completed. The scale of the future network will far exceed the current Internet, and realize more intelligent and ubiquitous interconnection. First, the interconnection of mobile phones and mobile phones in the mobile Internet, socializing The interconnection of people and people in the network, the interconnection of people and things, things and things in the Internet of Things, and finally complete the complete integration of the real world and the information world. This will be a complex network system with super-scale, infinite convergence, rich hierarchy, and harmonious operation. It realizes the world form of any information subject to access any information source at any time and any place. It depicts various information subjects for us. The idealized interaction landscape, which is superimposed, highly integrated, and freely transformed, also makes our planet truly become an integrated and unified three-dimensional information system.

然而目前还没有一个能够完全解决物联网在城域范围内进行数据采集、抽象、分析进而实现决策的整体性***或方法来解决现有的整体效率不强的问题。However, there is currently no holistic system or method that can completely solve the problem of data collection, abstraction, analysis and decision-making of the Internet of Things in the metropolitan area to solve the problem of the existing overall inefficiency.

发明内容Summary of the invention

本发明的目的在于提供一种面向城域物联网进行高效数据分析的基于城域级物联网感知数据的场景智能分析***。本发明的目的还在于提供一种基于城域级物联网感知数据的场景智能分析方法。The object of the present invention is to provide a scenario intelligent analysis system based on metropolitan-level Internet of Things sensing data for efficient data analysis of a metropolitan area Internet of Things. The object of the present invention is also to provide a scene intelligence analysis method based on metropolitan level Internet of Things sensing data.

一种基于城域级物联网感知数据的场景智能分析***，包括城域级物联网感知层、城域级物联网网络层、城域级物联网数据层和城域级物联网应用层；A scenario intelligent analysis system based on metro-level Internet of Things sensing data includes a metro-level Internet of Things sensing layer, a metro-level IoT network layer, a metro-level IoT data layer, and a metro-level IoT application layer;

所述的城域级物联网感知层由交互空间模块构成，所述的交互空间模块包括电磁感应传感器、光谱传感器、音频和食品传感器、卫星遥感***、GNSS传感器、红外传感器、霍尔传感器；交互空间模块根据预先设定的控制和管理标准，为整个物联网的信息网络采集环境中发生的所有物理事件和全部数据；The metropolitan-level Internet of Things sensing layer is composed of an interaction space module, which includes an electromagnetic induction sensor, a spectrum sensor, an audio and food sensor, a satellite remote sensing system, a GNSS sensor, an infrared sensor, and a Hall sensor; The space module collects all physical events and all data occurring in the environment for the entire IoT information network according to preset control and management standards;

所述的城域级物联网网络层由交互通道和交互协议构成，交互通道包括PAN网络、LAN网络、WLAN网络、WAN网络、GPRS网络、GPS网络、3G网络、4G网络；所述的交互协议为适用于交互通道的各类协议；交互通道和交互协议将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层进行储存，并将城域级物联网数据层接收到的城域级物联网应用层的决策信息发送给交互空间模块；The metropolitan-level IoT network layer is composed of an interaction channel and an interaction protocol, and the interaction channel includes a PAN network, a LAN network, a WLAN network, a WAN network, a GPRS network, a GPS network, a 3G network, and a 4G network; It is a variety of protocols applicable to the interactive channel; the interactive channel and the interactive protocol transfer all physical events and all data uploaded by the metro-level Internet of Things sensing layer to the metropolitan-level IoT data layer for storage, and the metropolitan level The decision information of the metropolitan-level IoT application layer received by the networked data layer is sent to the interaction space module;

所述的城域级物联网数据层是基于内存和硬盘相结合的大型服务器；包括Mongo DB数据库、Hbase数据库、Redis数据库、NoSQL数据库、Redis数据库、Cassandra数据库；城域级物联网数据层通过分布式存储架构存储城域级物联网网络层和城域级物联网应用层传递的异构化、结构化数据；The metropolitan-level IoT data layer is a large server based on a combination of a memory and a hard disk; including a Mongo DB database, a Hbase database, a Redis database, a NoSQL database, a Redis database, and a Cassandra database; and a metro-level IoT data layer is distributed. The storage architecture stores the isomerized and structured data transmitted by the metropolitan-level IoT network layer and the metropolitan-level IoT application layer;

所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析，根据结果提供用户所需的服务，对物联网中的客体进行智能化的识别、定位、跟踪、监测、决策和管理的数据终端。The metropolitan-level IoT application layer analyzes, processes, stores, and filters the data information transmitted by the metropolitan-level Internet of Things sensing layer and the metropolitan-level IoT data layer, and the metropolitan-level Internet of Things. The environment in which the sensing layer is located analyzes the data, provides the services required by the user according to the results, and intelligently identifies, locates, tracks, monitors, determines, and manages the objects in the Internet of Things.

所述的采集环境中发生的所有物理事件和全部数据的具体内容包括：The specific contents of all physical events and all data occurring in the collection environment include:

(1)采集事件的形式信息定义为语法信息，采集事件的意义信息定义为语义信息，事件的效用信息称为语用信息，分别依次用符号△l _g、△l _s、△l _p表示，全信息集合：△l＝Q(△l _g+△l _s+△l _p),Q代表运算符，当事件不稳定时为不确定运算，当事件稳定时为确定运算； (1) The formal information of the collected event is defined as grammatical information, the meaning information of the collected event is defined as semantic information, and the utility information of the event is called pragmatic information, which are respectively represented by the symbols Δl _g , Δl _s , Δl _p , Full information set: △ l = Q (△ l _g + Δl _s + Δl _p ), Q represents the operator, when the event is unstable, it is an uncertain operation, when the event is stable, it is a certain operation;

(2)引入主体的先验信息l _r(X；A)、后验信息l _o(X；A)、实得信息△l _n(X；A)和期望信息l _e(X；A)；主体A关于事件X的先验信息是指主体在实际观察该事件之前已经具有的关于该事件的信息；主体A关于事件X的后验信息是指主体在实际观察该事件之后所获得的关于该事件的信息；主体A关于事件X的实得信息是指主体由于观察该事件而实际获得的该事件的净信息；主体A关于事件X的期望信息是指主体在各种状态下对事件期望获得的信息； (2) introducing a priori information of the subject l _r (X; A), posterior information l _o (X; A), actual information Δl _n (X; A) and expected information l _e (X; A); The a priori information of the subject A with respect to the event X refers to the information that the subject already has before the actual observation of the event; the posterior information of the subject A with respect to the event X refers to the subject obtained after actually observing the event. The information of the event; the actual information of the subject A regarding the event X refers to the net information of the event actually obtained by the subject due to observing the event; the expected information of the subject A with respect to the event X refers to the subject expecting the event in various states. Information;

先验信息、后验信息、实得信息与全信息的运算关系表示为：The operational relationship between a priori information, posterior information, actual information and full information is expressed as:

△l＝Q(△l _n(X；A))＝Q(l _o(X；A)-l _r(X；A))； Δl=Q(Δl _n (X;A))=Q(l _o (X;A)-l _r (X;A));

语法信息、语义信息、语用信息分别表示为：The grammatical information, semantic information, and pragmatic information are respectively expressed as:

△l _g＝△l _g(X；A)＝l _og(X；A)-l _rg(X；A) Δl _g =Δl _g (X;A)=l _og (X;A)-l _rg (X;A)

△l _s＝△l _s(X；A)＝l _os(X；A)-l _rs(X；A)； Δl _s =Δl _s (X;A)=l _os (X;A)-l _rs (X;A);

△l _p＝△l _p(X；A)＝l _op(X；A)-l _sp(X；A) Δl _p =Δl _p (X;A)=l _op (X;A)-l _sp (X;A)

(3)将经过时间序列t _i后获得的先验信息、后验信息、实得信息为； (3) A priori information, posterior information, and actual information obtained after the time series t _i is obtained;

△l _g＝△l _g(X,t _i；A)＝l _og(X,t _i；A)-l _rg(X,t _i；A) Δl _g =Δl _g (X,t _i ;A)=l _og (X,t _i ;A)-l _rg (X,t _i ;A)

△l _s＝△l _s(X,t _i；A)＝l _os(X,t _i；A)-l _rs(X,t _i；A) Δl _s =Δl _s (X,t _i ;A)=l _os (X,t _i ;A)-l _rs (X,t _i ;A)

△l _p＝△l _p(X,t _i；A)＝l _op(X,t _i；A)-l _sp(X,t _i；A)， Δl _p = Δl _p (X, t _i ; A) = l _op (X, t _i ; A) - l _sp (X, t _i ; A),

i＝1,2,3,...m；m代表时间序号；i=1, 2, 3, ... m; m represents the time serial number;

上述经过时间序列t _i后获得的先验信息、后验信息、实得信息用来描述事件外在结构的显性状态和对事件所发出的刺激信号的感觉、知觉和表象，包括事件的颜色、形状、大小、声音、速度、温度、频率的状态信息。 The prior information, posterior information, and actual information obtained after the time series t _{i are} used to describe the dominant state of the external structure of the event and the sensation, perception, and appearance of the stimulus signal emitted by the event, including the color of the event. Status information for shape, size, sound, speed, temperature, and frequency.

所述的交互通道和交互协议将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层的具体内容包括：The interactive channel and the interaction protocol transmit all the physical events and all data uploaded by the metropolitan area Internet of Things sensing layer to the metropolitan level IoT data layer, including:

(1)数据处理：(1) Data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，

n代表区域序号， Let G ⁿ be a sequence of information indicators corresponding to time in a certain area,

n represents the area number,

(2)建立灰色***预测模型中的GM(h,l)模型：

(2) Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，

a and u are model parameters determined by the original data,

(3)还原处理：(3) Restore processing:

进行生成数据的逆运算，预测数据为各事件对应的指标；Perform an inverse operation on the generated data, and the predicted data is an indicator corresponding to each event;

为G ⁿ(t _i)的预测值；

Is the predicted value of G ⁿ (t _i );

(4)精度检验：(4) Accuracy test:

残差和相对残差的检验包括：Tests for residuals and relative residuals include:

残差

相对残差

Residual

Relative residual

G ⁰(t _i)为标准区域第ti时刻的信息量指标数列； G ⁰ (t _i ) is the information quantity index sequence at the ti time of the standard area;

(5)若E(t _i)、e(t)小于等于***设定的阈值E0和e0，则将G ⁿ(t _i)传送至城域级物联网数据层；若E(t _i)、e(t)大于***设定的阈值E0和e0，则暂停所在区域的物联网工作，待阈值重新小于小于等于***设定的阈值E0和e0，再回复城域级物联网网络层工作。 (5) If E(t _i ) and e(t) are less than or equal to the thresholds E0 and e0 set by the system, then G ⁿ (t _i ) is transmitted to the metropolitan level IoT data layer; if E(t _i ), If e(t) is greater than the thresholds E0 and e0 set by the system, the IoT work in the area is suspended, and the threshold is again less than or equal to the thresholds E0 and e0 set by the system, and then the work of the metropolitan area IoT network layer is resumed.

所述的城域级物联网数据层存储的数据信息包括：The data information stored in the metropolitan area Internet of Things data layer includes:

boolean类型，用来存储布尔类型数据；Boolean type, used to store boolean type data;

double类型，用来存储实数类型数据；Double type used to store real type data;

int类型，用来存储整数类型的数据；Int type, used to store integer type data;

String类型，用来存储字符串数据；String type used to store string data;

datetime类型，用来存储时间和日期数据；Datetime type used to store time and date data;

Image类型，用来存储小于8MB大小的图片；Image type, used to store images smaller than 8MB in size;

Video类型，用来存储任意大小的视频数据；Video type, used to store video data of any size;

Blob类型，用来存储其它二进制数据；Blob type, used to store other binary data;

Object类型，用来存储结构可扩展的对象类型。Object type, used to store structure-extensible object types.

所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析的具体内容包括：The metropolitan-level IoT application layer analyzes, processes, stores, and filters the data information transmitted by the metropolitan-level Internet of Things sensing layer and the metropolitan-level IoT data layer, and the metropolitan-level Internet of Things. The specific content of the environment in which the sensing layer is located includes:

(1)将每一个事件和客体设定为节点，将任务均衡分配到每一个节点上，在相邻节点之间，通过其中一个节点q向另一个节点f发送一个带当前时间戳的信标帧在邻居节点f收到该信标帧后，立即将该数据包中的时间戳TS进行提取，并创建一个返回ACK包，将时间戳数据加入到ACK包中，推送至大型服务器；(1) Set each event and object as a node, distribute the task to each node, and send a beacon with the current timestamp to the other node f through one of the nodes q between adjacent nodes. After receiving the beacon frame, the neighbor node f extracts the timestamp TS in the data packet, and creates a return ACK packet, adds the timestamp data to the ACK packet, and pushes it to the large server;

(2)原节点q收到该ACK包后，从中提取需要的时间戳信息TS，再根据当前***时间TM，计算节点的传输时延(2) After receiving the ACK packet, the original node q extracts the required timestamp information TS, and calculates the transmission delay of the node according to the current system time TM.

T＝(TM-TS)/2；T=(TM-TS)/2;

(3)每个节点分别与其周围节点依次计算传输时延，并将这些时延存入路由表信息中，其中***的原节点的传输时延的值为0；信息每隔一段固定时间，就会重新进行发包，来根据实时的网络状态，更新路由表；(3) Each node calculates the transmission delay in turn with its surrounding nodes, and stores these delays into the routing table information. The transmission delay of the original node of the system is 0; the information is fixed every fixed time. The packet will be re-issued to update the routing table according to the real-time network status;

(4)计算出经过A节点路径到达***的原节点的传输时延，当邻居节点之间传输时延估计完成后，在第1行节点i发送一个广播请求包，获取相邻节点的迭代累加时延；在第2行当节点i收到邻居节点的返回包后，提取出其中的迭代累加时延；在第3、4行将提取出的邻居节点迭代累加时延与自身和邻居节点间的传输实验估计值相加，结果保存入节点i的节点i的经由邻居节点传输至***的原节点的迭代累加时延集；(4) Calculate the transmission delay of the original node that arrives at the system through the A-node path. After the transmission delay estimation between the neighbor nodes is completed, a broadcast request packet is sent in the first row node i to obtain the iterative accumulation of the adjacent nodes. Delay; in the second row, when node i receives the return packet of the neighbor node, it extracts the iterative accumulated delay; in the third and fourth rows, it extracts the extracted neighbor node iterative accumulated delay and the transmission between itself and the neighbor node. The experimental estimates are added, and the result is stored in an iterative accumulated delay set of the node i of the node i transmitted to the original node of the system via the neighbor node;

(5)节点i根据迭代累加时延集的结果以及大型服务器发送的操作信息在迭代累加时延集后进行操作。(5) The node i operates after iteratively accumulating the delay set according to the result of the iterative accumulated delay set and the operation information sent by the large server.

一种基于城域级物联网感知数据的场景智能分析方法，包括如下步骤：A scene intelligence analysis method based on metro-level Internet of Things sensing data includes the following steps:

(1)城域级物联网感知层通过包括电磁感应传感器、光谱传感器、音频和食品传感器、卫星遥感***、GNSS传感器、红外传感器、霍尔传感器的交互空间模块根据预先设定的控制和管理标准，为整个物联网的信息网络采集环境中发生的所有物理事件和全部数据；(1) The metro-level IoT sensing layer is based on pre-set control and management standards through an interactive space module including electromagnetic induction sensors, spectral sensors, audio and food sensors, satellite remote sensing systems, GNSS sensors, infrared sensors, and Hall sensors. , collecting all physical events and all data occurring in the environment for the entire IoT information network;

(2)由包括PAN网络、LAN网络、WLAN网络、WAN网络、GPRS网络、GPS网络、3G网络、4G网络的交互通道和适用于交互通道的各类协议组成的交互协议构成的城域级物联网网络层将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层进行储存，并将城域级物联网数据层接收到的城域级物联网应用层的决策信息发送给交互空间模块；(2) Metropolitan class consisting of interactive protocols consisting of PAN network, LAN network, WLAN network, WAN network, GPRS network, GPS network, 3G network, 4G network interaction channel and various protocols applicable to the interaction channel The networked network layer transmits all the physical events and all data uploaded by the metropolitan-level Internet of Things sensing layer to the metropolitan-level IoT data layer for storage, and the metropolitan-level IoT application received by the metropolitan-level IoT data layer. Layer decision information is sent to the interaction space module;

(3)包括Mongo DB数据库、Hbase数据库、Redis数据库、NoSQL数据库、Redis数据库、Cassandra数据库的基于内存和硬盘相结合的大型服务器构成的城域级物联网数据层通过分布式存储架构存储城域级物联网网络层和城域级物联网应用层传递的异构化、结构化数据；(3) Metro-level IoT data layer composed of a large server based on a combination of memory and hard disk including Mongo DB database, Hbase database, Redis database, NoSQL database, Redis database, Cassandra database, and storage of the metropolitan level through distributed storage architecture Isomerized and structured data transmitted by the IoT network layer and the metropolitan level IoT application layer;

(4)所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析，根据结果提供用户所需的服务，对物联网中的客体进行智能化的识别、定位、跟踪、监测、决策和管理的数据终端。(4) The metropolitan-level IoT application layer is to analyze, process, store, filter, and filter the data information transmitted by the metropolitan-level IoT sensing layer and the metro-level IoT data layer. The environment in which the Internet of Things sensing layer is located analyzes the data, provides the services required by the users according to the results, and intelligently identifies, locates, tracks, monitors, determines, and manages the objects in the Internet of Things.

i＝1,2,3,...n；i=1, 2, 3,...n;

(1)数据处理：(1) Data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，

n represents the area number,

(2)建立灰色***预测模型中的GM(h,l)模型：

(2) Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，

a and u are model parameters determined by the original data,

(3)还原处理：(3) Restore processing:

为G ⁿ(t _i)的预测值；

Is the predicted value of G ⁿ (t _i );

(4)精度检验：(4) Accuracy test:

残差

相对残差

Residual

Relative residual

(2)原节点q收到该ACK包后，从中提取需要的时间戳信息TS，再根据当前***时间TM，计算节点的传输时延,T＝(TM-TS)/2；(2) After receiving the ACK packet, the original node q extracts the required timestamp information TS, and then calculates the transmission delay of the node according to the current system time TM, T=(TM-TS)/2;

本发明的有益效果在于：The beneficial effects of the invention are:

本发明涉及的一种基于城域级物联网感知数据的场景智能分析***与方法，在城域级空间范围内，利用多种类型的物联网采集数据，对数据进行多尺度的抽象，例如比较宏观的整个城区的尺度，比较微观的城区某个局部的尺度；利用各种因素执行场景的模式识别分析，例如对于空气污染的走势，可以综合空气颗粒物状况、污染源排放状况、风向和风速、城区交通状况等因素，进行多参量模型的分析，可以运用人工智能的手段进行决策。The invention relates to a scene intelligent analysis system and method based on metro-level Internet of Things sensing data, which uses multiple types of Internet of Things to collect data in a metropolitan-level spatial space, and performs multi-scale abstraction of data, for example, comparison. Macroscopic scale of the entire urban area, comparing some local scales of the micro-city; using various factors to perform pattern recognition analysis of the scene, for example, for air pollution trends, comprehensive air particulate matter status, pollution source discharge status, wind direction and wind speed, urban area Factors such as traffic conditions, analysis of multi-parameter models, can use artificial intelligence to make decisions.

附图说明DRAWINGS

为了更清楚地说明本发明具体实施方式或现有技术中的技术方案，下面将对具体实施方式或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施方式，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。In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings to be used in the specific embodiments or the description of the prior art will be briefly described below, and obviously, the attached in the following description The drawings are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without any creative work.

图1示出了本发明***结构图。Figure 1 shows a block diagram of the system of the present invention.

具体实施方式Detailed ways

为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合附图对本发明的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。The embodiments of the present invention will be clearly and completely described in detail with reference to the accompanying drawings. An embodiment. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

i＝1,2,3,...n；i=1, 2, 3,...n;

(1)数据处理：(1) Data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，

n represents the area number,

(2)建立灰色***预测模型中的GM(h,l)模型：

(2) Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，

a and u are model parameters determined by the original data,

(3)还原处理：(3) Restore processing:

为G ⁿ(t _i)的预测值；

Is the predicted value of G ⁿ (t _i );

(4)精度检验：(4) Accuracy test:

残差

相对残差

Residual

Relative residual

由于影响信息需求的直接因素是区域经济发展状况、交通运输活动强度、人口状况等因素。不管是地区经济发展还是交通运输活动，都是一个多层次、多因素的复杂***，信息需求量作为这个复杂***的外在综合反映，它与***各层次、各因素的关系很复杂，存在许多完全不确定的或己经确定却难以用定量关系确切描述的联系，但是在***各层次、各因素相对稳定的情况下，可以从一组时间序列数据中挖掘有用的信息，寻求信息量本身的变化规律，并据此建立定量分析的数学模型，来预测未来特定时间段的区域交通信息量。因此，我们可以认为一个“少数据，不完全信息”的区域交通信息网络就是一个灰色***，釆用灰色预测模型对交通信息需求量进行预测是合适的，该方法是对信息进行量化的有效工具和手段。因此，用该模型对信息量预测模型构建能够精确、高效的反应区域的数据情况。The direct factors affecting information demand are factors such as regional economic development, transportation activity intensity, and population status. Whether it is regional economic development or transportation activities, it is a multi-level, multi-factor complex system. The information demand is a comprehensive reflection of this complex system. Its relationship with various levels of the system and various factors is very complicated. There are many Connections that are completely uncertain or have been identified but are difficult to describe with quantitative relationships, but at various levels of the system and with relatively stable factors, you can mine useful information from a set of time series data and seek information itself. Change the law and establish a mathematical model of quantitative analysis to predict the amount of regional traffic information for a specific time period in the future. Therefore, we can think that a regional traffic information network with “less data and incomplete information” is a gray system. It is appropriate to use the grey prediction model to predict the demand for traffic information. This method is an effective tool for quantifying information. And means. Therefore, the model is used to construct an accurate and efficient data response area for the information quantity prediction model.

i＝1,2,3,...n；i=1, 2, 3,...n;

每个主体由于状态的不同，对事件的全信息描述差异很大。感性的主体更多关注事件的结构形态，理性的主体更多关注事件的功能含义，而现实的主体则更注重事件的价值效用，这就是先期采集数据的作用。当主体的状态还不稳定时，表现为不确定运算；而当主体的状态稳定时，表现为确定性运算。Each subject has a very different description of the full information of the event due to the different states. The perceptual subject pays more attention to the structural form of the event. The rational subject pays more attention to the functional meaning of the event, while the real subject pays more attention to the value utility of the event. This is the role of collecting data in advance. When the state of the subject is still unstable, it appears as an indeterminate operation; and when the state of the subject is stable, it appears as a deterministic operation.

(1)数据处理：(1) Data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，

n represents the area number,

(2)建立灰色***预测模型中的GM(h,l)模型：

(2) Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，

a and u are model parameters determined by the original data,

(3)还原处理：(3) Restore processing:

为G ⁿ(t _i)的预测值；

Is the predicted value of G ⁿ (t _i );

(4)精度检验：(4) Accuracy test:

残差

相对残差

Residual

Relative residual

要获取统一格式的数据对象，必须对这种异构的统一对象进行模式定义，这就类似于在传统的关系模型中，先定义一个二元关系及其约束，才能得到存储数据的二维关系表。在本发明中，将使用类型***来描述该数据模式。该方式为物联网整体数据进行了统一格式，便于信息的传递。To obtain a data object in a uniform format, we must define a schema for this heterogeneous unified object. This is similar to defining a binary relationship and its constraints in a traditional relational model to obtain a two-dimensional relationship of stored data. table. In the present invention, the data system will be described using a type system. This method provides a unified format for the overall data of the Internet of Things, facilitating the transmission of information.

本方法通过获取所有处于节点集中的节点信息，根据每个节点的信息以及网络中所有节点的剩余信息综合，计算出每个节点的时延信息。根据该信息，调用随机函数，在节点集中选择节点进行数据包的转发，以增加网络整体的鲁棒性，均衡网络负载。The method calculates the delay information of each node by acquiring all the node information in the node set, synthesizing the information of each node and the remaining information of all nodes in the network. According to the information, the random function is called, and the node is selected in the node set to forward the data packet, so as to increase the overall robustness of the network and balance the network load.

Claims

一种基于城域级物联网感知数据的场景智能分析***，包括城域级物联网感知层、城域级物联网网络层、城域级物联网数据层和城域级物联网应用层；其特征在于：A scenario intelligent analysis system based on metro-level Internet of Things sensing data includes a metro-level Internet of Things sensing layer, a metro-level IoT network layer, a metro-level IoT data layer, and a metro-level IoT application layer; Features are:

所述的城域级物联网感知层由交互空间模块构成，所述的交互空间模块包括电磁感应传感器、光谱传感器、音频和食品传感器、卫星遥感***、GNSS传感器、红外传感器、霍尔传感器；交互空间模块根据预先设定的控制和管理标准，为整个物联网的信息网络采集环境中发生的所有物理事件和全部数据；The metropolitan-level Internet of Things sensing layer is composed of an interaction space module, which includes an electromagnetic induction sensor, a spectrum sensor, an audio and food sensor, a satellite remote sensing system, a GNSS sensor, an infrared sensor, and a Hall sensor; The space module collects all physical events and all data occurring in the environment for the entire IoT information network according to preset control and management standards;

所述的城域级物联网网络层由交互通道和交互协议构成，交互通道包括PAN网络、LAN网络、WLAN网络、WAN网络、GPRS网络、GPS网络、3G网络、4G网络；所述的交互协议为适用于交互通道的各类协议；交互通道和交互协议将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层进行储存，并将城域级物联网数据层接收到的城域级物联网应用层的决策信息发送给交互空间模块；The metropolitan-level IoT network layer is composed of an interaction channel and an interaction protocol, and the interaction channel includes a PAN network, a LAN network, a WLAN network, a WAN network, a GPRS network, a GPS network, a 3G network, and a 4G network; It is a variety of protocols applicable to the interactive channel; the interactive channel and the interactive protocol transfer all physical events and all data uploaded by the metro-level Internet of Things sensing layer to the metropolitan-level IoT data layer for storage, and the metropolitan level The decision information of the metropolitan-level IoT application layer received by the networked data layer is sent to the interaction space module;

所述的城域级物联网数据层是基于内存和硬盘相结合的大型服务器；包括Mongo DB数据库、Hbase数据库、Redis数据库、NoSQL数据库、Redis数据库、Cassandra数据库；城域级物联网数据层通过分布式存储架构存储城域级物联网网络层和城域级物联网应用层传递的异构化、结构化数据；The metropolitan-level IoT data layer is a large server based on a combination of a memory and a hard disk; including a Mongo DB database, a Hbase database, a Redis database, a NoSQL database, a Redis database, and a Cassandra database; and a metro-level IoT data layer is distributed. The storage architecture stores the isomerized and structured data transmitted by the metropolitan-level IoT network layer and the metropolitan-level IoT application layer;

所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析，根据结果提供用户所需的服务，对物联网中的客体进行智能化的识别、定位、跟踪、监测、决策和管理的数据终端。The metropolitan-level IoT application layer analyzes, processes, stores, and filters the data information transmitted by the metropolitan-level Internet of Things sensing layer and the metropolitan-level IoT data layer, and the metropolitan-level Internet of Things. The environment in which the sensing layer is located analyzes the data, provides the services required by the user according to the results, and intelligently identifies, locates, tracks, monitors, determines, and manages the objects in the Internet of Things.
根据权利要求1所述的一种基于城域级物联网感知数据的场景智能分析***，其特征在于，所述的采集环境中发生的所有物理事件和全部数据的具体内容包括：The scene intelligence analysis system based on the metropolitan-level Internet of Things (IoT)-aware data according to claim 1, wherein the specific content of all physical events and all data occurring in the collection environment includes:

(1.1)采集事件的形式信息定义为语法信息，采集事件的意义信息定义为语义信息，事件的效用信息称为语用信息，分别依次用符号△l _g、△l _s、△l _p表示，全信息集合：△l＝Q(△l _g+△l _s+△l _p),Q代表运算符，当事件不稳定时为不确定运算，当事件稳定时为确定运算； (1.1) The formal information of the collected event is defined as grammatical information, the meaning information of the collected event is defined as semantic information, and the utility information of the event is called pragmatic information, which are respectively represented by the symbols Δl _g , Δl _s , Δl _p , Full information set: △ l = Q (△ l _g + Δl _s + Δl _p ), Q represents the operator, when the event is unstable, it is an uncertain operation, when the event is stable, it is a certain operation;

(1.2)引入主体的先验信息l _r(X；A)、后验信息l _o(X；A)、实得信息△l _n(X；A)和期望信息l _e(X；A)；主体A关于事件X的先验信息是指主体在实际观察该事件之前已经具有的关于该事件的信息；主体A关于事件X的后验信息是指主体在实际观察该事件之后所获得的关于该事件的信息；主体A关于事件X的实得信息是指主体由于观察该事件而实际获得的该事件的净信息；主体A关于事件X的期望信息是指主体在各种状态下对事件期望获得的信息； (1.2) introducing a priori information of the subject l _r (X; A), posterior information l _o (X; A), actual information Δl _n (X; A) and expected information l _e (X; A); The a priori information of the subject A with respect to the event X refers to the information that the subject already has before the actual observation of the event; the posterior information of the subject A with respect to the event X refers to the subject obtained after actually observing the event. The information of the event; the actual information of the subject A regarding the event X refers to the net information of the event actually obtained by the subject due to observing the event; the expected information of the subject A with respect to the event X refers to the subject expecting the event in various states. Information;

先验信息、后验信息、实得信息与全信息的运算关系表示为：The operational relationship between a priori information, posterior information, actual information and full information is expressed as:

△l＝Q(△l _n(X；A))＝Q(l _o(X；A)-l _r(X；A))； Δl=Q(Δl _n (X;A))=Q(l _o (X;A)-l _r (X;A));

语法信息、语义信息、语用信息分别表示为：The grammatical information, semantic information, and pragmatic information are respectively expressed as:

△l _g＝△l _g(X；A)＝l _og(X；A)-l _rg(X；A) Δl _g =Δl _g (X;A)=l _og (X;A)-l _rg (X;A)

△l _s＝△l _s(X；A)＝l _os(X；A)-l _rs(X；A)； Δl _s =Δl _s (X;A)=l _os (X;A)-l _rs (X;A);

△l _p＝△l _p(X；A)＝l _op(X；A)-l _sp(X；A) Δl _p =Δl _p (X;A)=l _op (X;A)-l _sp (X;A)

(1.3)将经过时间序列t _i后获得的先验信息、后验信息、实得信息为； (1.3) a priori information, posterior information, and actual information obtained after the time series t _i is obtained;

△l _g＝△l _g(X,t _i；A)＝l _og(X,t _i；A)-l _rg(X,t _i；A) Δl _g =Δl _g (X,t _i ;A)=l _og (X,t _i ;A)-l _rg (X,t _i ;A)

△l _s＝△l _s(X,t _i；A)＝l _os(X,t _i；A)-l _rs(X,t _i；A) Δl _s =Δl _s (X,t _i ;A)=l _os (X,t _i ;A)-l _rs (X,t _i ;A)

△l _p＝△l _p(X,t _i；A)＝l _op(X,t _i；A)-l _sp(X,t _i；A)， Δl _p = Δl _p (X, t _i ; A) = l _op (X, t _i ; A) - l _sp (X, t _i ; A),

i＝1,2,3,...m；m代表时间序号；i=1, 2, 3, ... m; m represents the time serial number;

上述经过时间序列t _i后获得的先验信息、后验信息、实得信息用来描述事件外在结构的显性状态和对事件所发出的刺激信号的感觉、知觉和表象，包括事件的颜色、形状、大小、声音、速度、温度、频率的状态信息。 The prior information, posterior information, and actual information obtained after the time series t _{i are} used to describe the dominant state of the external structure of the event and the sensation, perception, and appearance of the stimulus signal emitted by the event, including the color of the event. Status information for shape, size, sound, speed, temperature, and frequency.
根据权利要求1所述的一种基于城域级物联网感知数据的场景智能分析***，其特征在于，所述的交互通道和交互协议将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层的具体内容包括：The scenario intelligent intelligence analysis system based on the metropolitan-level Internet of Things sensing data according to claim 1, wherein the interaction channel and the interaction protocol all physical events uploaded by the metropolitan area Internet of Things sensing layer and The specific content of all data transmission to the metro-level IoT data layer includes:

(2.1)数据处理：(2.1) Data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，
n代表区域序号， Let G ⁿ be a sequence of information indicators corresponding to time in a certain area,
n represents the area number,

(2.2)建立灰色***预测模型中的GM(h,l)模型：
(2.2) Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，a and u are model parameters determined by the original data,

(2.3)还原处理：(2.3) Restore processing:

进行生成数据的逆运算，预测数据为各事件对应的指标；Perform an inverse operation on the generated data, and the predicted data is an indicator corresponding to each event;

为G ⁿ(t _i)的预测值；
Is the predicted value of G ⁿ (t _i );

(2.4)精度检验：(2.4) Accuracy test:

残差和相对残差的检验包括：Tests for residuals and relative residuals include:

残差
相对残差
Residual
Relative residual

G ⁰(t _i)为标准区域第ti时刻的信息量指标数列； G ⁰ (t _i ) is the information quantity index sequence at the ti time of the standard area;

(2.5)若E(t _i)、e(t)小于等于***设定的阈值E0和e0，则将G ⁿ(t _i)传送至城域级物联网数据层；若E(t _i)、e(t)大于***设定的阈值E0和e0，则暂停所在区域的物联网工作，待阈值重新小于小于等于***设定的阈值E0和e0，再回复城域级物联网网络层工作。 (2.5) If E(t _i ), e(t) is less than or equal to the system-set thresholds E0 and e0, then G ⁿ (t _i ) is transmitted to the metro-level IoT data layer; if E(t _i ), If e(t) is greater than the thresholds E0 and e0 set by the system, the IoT work in the area is suspended, and the threshold is again less than or equal to the thresholds E0 and e0 set by the system, and then the work of the metropolitan area IoT network layer is resumed.
根据权利要求1所述的一种基于城域级物联网感知数据的场景智能分析***，其特征在于，所述的城域级物联网数据层存储的数据信息包括：The scene intelligence analysis system based on the metropolitan-level Internet of Things (IoT) data according to claim 1, wherein the data information stored in the metropolitan-level Internet of Things data layer comprises:

boolean类型，用来存储布尔类型数据；Boolean type, used to store boolean type data;

double类型，用来存储实数类型数据；Double type used to store real type data;

int类型，用来存储整数类型的数据；Int type, used to store integer type data;

String类型，用来存储字符串数据；String type used to store string data;

datetime类型，用来存储时间和日期数据；Datetime type used to store time and date data;

Image类型，用来存储小于8MB大小的图片；Image type, used to store images smaller than 8MB in size;

Video类型，用来存储任意大小的视频数据；Video type, used to store video data of any size;

Blob类型，用来存储其它二进制数据；Blob type, used to store other binary data;

Object类型，用来存储结构可扩展的对象类型。Object type, used to store structure-extensible object types.
根据权利要求1所述的一种基于城域级物联网感知数据的场景智能分析***，其特征在于，所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析的具体内容包括：The scenario intelligent intelligence analysis system based on the metropolitan-level Internet of Things (IoT), according to claim 1, wherein the metropolitan-level Internet of Things application layer is obtained by the metropolitan-level Internet of Things sensing layer. The data of the metropolitan-level IoT data layer is analyzed, processed, stored, filtered, and analyzed for the environment in which the metropolitan-level IoT sensing layer is located:

(4.1)将每一个事件和客体设定为节点，将任务均衡分配到每一个节点上，在相邻节点之间，通过其中一个节点q向另一个节点f发送一个带当前时间戳的信标帧在邻居节点f收到该信标帧后，立即将该数据包中的时间戳TS进行提取，并创建一个返回ACK包，将时间戳数据加入到ACK包中，推送至大型服务器；(4.1) Set each event and object as a node, distribute the task to each node, and send a beacon with the current timestamp to the other node f through one of the nodes q between adjacent nodes. After receiving the beacon frame, the neighbor node f extracts the timestamp TS in the data packet, and creates a return ACK packet, adds the timestamp data to the ACK packet, and pushes it to the large server;

(4.2)原节点q收到该ACK包后，从中提取需要的时间戳信息TS，再根据当前***时间TM，计算节点的传输时延(4.2) After receiving the ACK packet, the original node q extracts the required timestamp information TS, and calculates the transmission delay of the node according to the current system time TM.

T＝(TM-TS)/2；T=(TM-TS)/2;

(4.3)每个节点分别与其周围节点依次计算传输时延，并将这些时延存入路由表信息中，其中***的原节点的传输时延的值为0；信息每隔一段固定时间，就会重新进行发包，来根据实时的网络状态，更新路由表；(4.3) Each node calculates the transmission delay in turn with its surrounding nodes, and stores these delays in the routing table information. The transmission delay of the original node of the system is 0; the information is fixed every fixed period of time. The packet will be re-issued to update the routing table according to the real-time network status;

(4.4)计算出经过A节点路径到达***的原节点的传输时延，当邻居节点之间传输时延估计完成后，在第1行节点i发送一个广播请求包，获取相邻节点的迭代累加时延；在第2行当节点i收到邻居节点的返回包后，提取出其中的迭代累加时延；在第3、4行将提取出的邻居节点迭代累加时延与自身和邻居节点间的传输实验估计值相加，结果保存入节点i的节点i的经由邻居节点传输至***的原节点的迭代累加时延集；(4.4) Calculate the transmission delay of the original node that arrives at the system through the A-node path. After the transmission delay estimation between the neighbor nodes is completed, a broadcast request packet is sent in the first row node i to obtain the iterative accumulation of the adjacent nodes. Delay; in the second row, when node i receives the return packet of the neighbor node, it extracts the iterative accumulated delay; in the third and fourth rows, it extracts the extracted neighbor node iterative accumulated delay and the transmission between itself and the neighbor node. The experimental estimates are added, and the result is stored in an iterative accumulated delay set of the node i of the node i transmitted to the original node of the system via the neighbor node;

(4.5)节点i根据迭代累加时延集的结果以及大型服务器发送的操作信息在迭代累加时延集后进行操作。(4.5) The node i operates after iteratively accumulating the delay set according to the result of the iterative accumulated delay set and the operation information sent by the large server.
一种基于城域级物联网感知数据的场景智能分析方法，其特征在于，包括如下步骤：A scene intelligence analysis method based on metro-level Internet of Things sensing data, characterized in that it comprises the following steps:

(1)城域级物联网感知层通过包括电磁感应传感器、光谱传感器、音频和食品传感器、卫星遥感***、GNSS传感器、红外传感器、霍尔传感器的交互空间模块根据预先设定的控制和管理标准，为整个物联网的信息网络采集环境中发生的所有物理事件和全部数据；(1) The metro-level IoT sensing layer is based on pre-set control and management standards through an interactive space module including electromagnetic induction sensors, spectral sensors, audio and food sensors, satellite remote sensing systems, GNSS sensors, infrared sensors, and Hall sensors. , collecting all physical events and all data occurring in the environment for the entire IoT information network;

(2)由包括PAN网络、LAN网络、WLAN网络、WAN网络、GPRS网络、GPS网络、3G网络、4G网络的交互通道和适用于交互通道的各类协议组成的交互协议构成的城域级物联网网络层将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层进行储存，并将城域级物联网数据层接收到的城域级物联网应用层的决策信息发送给交互空间模块；(2) Metropolitan class consisting of interactive protocols consisting of PAN network, LAN network, WLAN network, WAN network, GPRS network, GPS network, 3G network, 4G network interaction channel and various protocols applicable to the interaction channel The networked network layer transmits all the physical events and all data uploaded by the metropolitan-level Internet of Things sensing layer to the metropolitan-level IoT data layer for storage, and the metropolitan-level IoT application received by the metropolitan-level IoT data layer. Layer decision information is sent to the interaction space module;

(3)包括Mongo DB数据库、Hbase数据库、Redis数据库、NoSQL数据库、Redis数据库、Cassandra数据库的基于内存和硬盘相结合的大型服务器构成的城域级物联网数据层通过分布式存储架构存储城域级物联网网络层和城域级物联网应用层传递的异构化、结构化数据；(3) Metro-level IoT data layer composed of a large server based on a combination of memory and hard disk including Mongo DB database, Hbase database, Redis database, NoSQL database, Redis database, Cassandra database, and storage of the metropolitan level through distributed storage architecture Isomerized and structured data transmitted by the IoT network layer and the metropolitan level IoT application layer;

(4)所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析，根据结果提供用户所需的服务，对物联网中的客体进行智能化的识别、定位、跟踪、监测、决策和管理的数据终端。(4) The metropolitan-level IoT application layer is to analyze, process, store, filter, and filter the data information transmitted by the metropolitan-level IoT sensing layer and the metro-level IoT data layer. The environment in which the Internet of Things sensing layer is located analyzes the data, provides the services required by the users according to the results, and intelligently identifies, locates, tracks, monitors, determines, and manages the objects in the Internet of Things.
根据权利要求6所述的一种基于城域级物联网感知数据的场景智能分析方法，其特征在于，所述的采集环境中发生的所有物理事件和全部数据的具体内容包括：The scene intelligence analysis method based on the metropolitan-level Internet of Things (IoT)-aware data according to claim 6, wherein the specific content of all physical events and all data occurring in the collection environment includes:

采集事件的形式信息定义为语法信息，采集事件的意义信息定义为语义信息，事件的效用信息称为语用信息，分别依次用符号△l _g、△l _s、△l _p表示，全信息集合：△l＝Q(△l _g+△l _s+△l _p),Q代表运算符，当事件不稳定时为不确定运算，当事件稳定时为确定运算； The formal information of the collected event is defined as grammatical information, the meaning information of the collected event is defined as semantic information, and the utility information of the event is called pragmatic information, which are respectively represented by the symbols Δl _g , Δl _s , Δl _p , and the complete information set : △ l = Q (△ l _g + Δl _s + Δl _p ), Q represents the operator, when the event is unstable, it is an indeterminate operation, when the event is stable, it is a certain operation;

引入主体的先验信息l _r(X；A)、后验信息l _o(X；A)、实得信息△l _n(X；A)和期望信息l _e(X；A)；主体A关于事件X的先验信息是指主体在实际观察该事件之前已经具有的关于该事件的信息；主体A关于事件X的后验信息是指主体在实际观察该事件之后所获得的关于该事件的信息；主体A关于事件X的实得信息是指主体由于观察该事件而实际获得的该事件的净信息；主体A关于事件X的期望信息是指主体在各种状态下对事件期望获得的信息； Introduce the a priori information l _r (X; A) of the subject, the posterior information l _o (X; A), the actual information Δl _n (X; A) and the expected information l _e (X; A); The a priori information of event X refers to the information that the subject already has before the actual observation of the event; the posterior information of subject A about event X refers to the information obtained by the subject after actually observing the event. The actual information of the subject A with respect to the event X refers to the net information of the event actually obtained by the subject due to observing the event; the expected information of the subject A with respect to the event X refers to the information that the subject desires to obtain the event under various states;

先验信息、后验信息、实得信息与全信息的运算关系表示为：The operational relationship between a priori information, posterior information, actual information and full information is expressed as:

△l＝Q(△l _n(X；A))＝Q(l _o(X；A)-l _r(X；A))； Δl=Q(Δl _n (X;A))=Q(l _o (X;A)-l _r (X;A));

语法信息、语义信息、语用信息分别表示为：The grammatical information, semantic information, and pragmatic information are respectively expressed as:

△l _g＝△l _g(X；A)＝l _og(X；A)-l _rg(X；A) Δl _g =Δl _g (X;A)=l _og (X;A)-l _rg (X;A)

△l _s＝△l _s(X；A)＝l _os(X；A)-l _rs(X；A)； Δl _s =Δl _s (X;A)=l _os (X;A)-l _rs (X;A);

△l _p＝△l _p(X；A)＝l _op(X；A)-l _sp(X；A) Δl _p =Δl _p (X;A)=l _op (X;A)-l _sp (X;A)

将经过时间序列t _i后获得的先验信息、后验信息、实得信息为； The a priori information, the posterior information, and the obtained information obtained after the time series t _{i are} obtained;

△l _g＝△l _g(X,t _i；A)＝l _og(X,t _i；A)-l _rg(X,t _i；A) Δl _g =Δl _g (X,t _i ;A)=l _og (X,t _i ;A)-l _rg (X,t _i ;A)

△l _s＝△l _s(X,t _i；A)＝l _os(X,t _i；A)-l _rs(X,t _i；A) Δl _s =Δl _s (X,t _i ;A)=l _os (X,t _i ;A)-l _rs (X,t _i ;A)

△l _p＝△l _p(X,t _i；A)＝l _op(X,t _i；A)-l _sp(X,t _i；A)， Δl _p = Δl _p (X, t _i ; A) = l _op (X, t _i ; A) - l _sp (X, t _i ; A),

i＝1,2,3,...n；i=1, 2, 3,...n;

上述经过时间序列t _i后获得的先验信息、后验信息、实得信息用来描述事件外在结构的显性状态和对事件所发出的刺激信号的感觉、知觉和表象，包括事件的颜色、形状、大小、声音、速度、温度、频率的状态信息。 The prior information, posterior information, and actual information obtained after the time series t _{i are} used to describe the dominant state of the external structure of the event and the sensation, perception, and appearance of the stimulus signal emitted by the event, including the color of the event. Status information for shape, size, sound, speed, temperature, and frequency.
根据权利要求6所述的一种基于城域级物联网感知数据的场景智能分析方法，其特征在于，所述的交互通道和交互协议将城域级物联网感知层上传过来的所有物理事件和全部数据传递给城域级物联网数据层的具体内容包括：The method for intelligently analyzing scenes based on metropolitan-level Internet of Things sensing data according to claim 6, wherein the interaction channel and the interaction protocol all physical events uploaded by the metropolitan area Internet of Things sensing layer and The specific content of all data transmission to the metro-level IoT data layer includes:

数据处理：data processing:

设G ⁿ为某一区域内对应于时间的信息量指标数列，
n代表区域序号， Let G ⁿ be a sequence of information indicators corresponding to time in a certain area,
n represents the area number,

建立灰色***预测模型中的GM(h,l)模型：
Establish the GM(h,l) model in the grey system prediction model:

a和u为由原始数据决定的模型参数，a and u are model parameters determined by the original data,

还原处理：Restore processing:

进行生成数据的逆运算，预测数据为各事件对应的指标；Perform an inverse operation on the generated data, and the predicted data is an indicator corresponding to each event;

为G ⁿ(t _i)的预测值；
Is the predicted value of G ⁿ (t _i );

精度检验：Accuracy test:

残差和相对残差的检验包括：Tests for residuals and relative residuals include:

残差
相对残差
Residual
Relative residual

G ⁰(t _i)为标准区域第ti时刻的信息量指标数列； G ⁰ (t _i ) is the information quantity index sequence at the ti time of the standard area;

若E(t _i)、e(t)小于等于***设定的阈值E0和e0，则将G ⁿ(t _i)传送至城域级物联网数据层；若E(t _i)、e(t)大于***设定的阈值E0和e0，则暂停所在区域的物联网工作，待阈值重新小于小于等于***设定的阈值E0和e0，再回复城域级物联网网络层工作。 If E(t _i ), e(t) is less than or equal to the threshold E0 and e0 set by the system, then G ⁿ (t _i ) is transmitted to the metropolitan level IoT data layer; if E(t _i ), e(t If the thresholds E0 and e0 set by the system are greater than the thresholds E0 and e0 set by the system, the IoT work in the area is suspended, and the threshold is again less than or equal to the thresholds E0 and e0 set by the system, and then the work of the metropolitan area IoT network layer is resumed.
根据权利要求6所述的一种基于城域级物联网感知数据的场景智能分析方法，其特征在于，所述的城域级物联网数据层存储的数据信息包括：The method for analyzing the scene intelligence based on the metropolitan-level Internet of Things (IoT) data according to claim 6, wherein the data information stored in the metropolitan-level Internet of Things data layer comprises:

boolean类型，用来存储布尔类型数据；Boolean type, used to store boolean type data;

double类型，用来存储实数类型数据；Double type used to store real type data;

int类型，用来存储整数类型的数据；Int type, used to store integer type data;

String类型，用来存储字符串数据；String type used to store string data;

datetime类型，用来存储时间和日期数据；Datetime type used to store time and date data;

Image类型，用来存储小于8MB大小的图片；Image type, used to store images smaller than 8MB in size;

Video类型，用来存储任意大小的视频数据；Video type, used to store video data of any size;

Blob类型，用来存储其它二进制数据；Blob type, used to store other binary data;

Object类型，用来存储结构可扩展的对象类型。Object type, used to store structure-extensible object types.
根据权利要求6所述的一种基于城域级物联网感知数据的场景智能分析方法，其特征在于，所述的城域级物联网应用层是把城域级物联网感知层获取到的、城域级物联网数据层传递的数据信息进行分析、处理、存储、过滤，并对城域级物联网感知层所处的环境进行分析的具体内容包括：The method for intelligently analyzing a scene based on the metropolitan-level Internet of Things (IoT)-aware data according to claim 6, wherein the metropolitan-level Internet of Things application layer is obtained by the metropolitan-level Internet of Things sensing layer. The data of the metropolitan-level IoT data layer is analyzed, processed, stored, filtered, and analyzed for the environment in which the metropolitan-level IoT sensing layer is located:

将每一个事件和客体设定为节点，将任务均衡分配到每一个节点上，在相邻节点之间，通过其中一个节点q向另一个节点f发送一个带当前时间戳的信标帧在邻居节点f收到该信标帧后，立即将该数据包中的时间戳TS进行提取，并创建一个返回ACK包，将时间戳数据加入到ACK包中，推送至大型服务器；Each event and object is set as a node, and the task is evenly distributed to each node. Between adjacent nodes, one of the nodes q sends a beacon frame with the current timestamp to the other node f in the neighbor. After receiving the beacon frame, the node f immediately extracts the timestamp TS in the data packet, and creates a return ACK packet, adds the timestamp data to the ACK packet, and pushes it to the large server;

原节点q收到该ACK包后，从中提取需要的时间戳信息TS，再根据当前***时间TM，计算节点的传输时延After receiving the ACK packet, the original node q extracts the required timestamp information TS, and calculates the transmission delay of the node according to the current system time TM.

T＝(TM-TS)/2；T=(TM-TS)/2;

每个节点分别与其周围节点依次计算传输时延，并将这些时延存入路由表信息中，其中***的原节点的传输时延的值为0；信息每隔一段固定时间，就会重新进行发包，来根据实时的网络状态，更新路由表；Each node calculates the transmission delay in turn with its surrounding nodes, and stores these delays in the routing table information. The transmission delay of the original node of the system is 0; the information is re-performed every fixed period of time. Send a packet to update the routing table according to the real-time network status;

计算出经过A节点路径到达***的原节点的传输时延，当邻居节点之间传输时延估计完成后，在第1行节点i发送一个广播请求包，获取相邻节点的迭代累加时延；在第2行当节点i收到邻居节点的返回包后，提取出其中的迭代累加时延；在第3、4行将提取出的邻居节点迭代累加时延与自身和邻居节点间的传输实验估计值相加，结果保存入节点i的节点i的经由邻居节点传输至***的原节点的迭代累加时延集；Calculating the transmission delay of the original node that arrives at the system through the A-node path. After the transmission delay estimation between the neighbor nodes is completed, a broadcast request packet is sent in the first row node i to obtain an iterative cumulative delay of the adjacent node; In the second row, when node i receives the return packet of the neighbor node, it extracts the iterative accumulated delay; in the third and fourth rows, it extracts the estimated delay of the neighbor node iterative delay and the transmission experiment between itself and the neighbor node. Adding, the result is saved into the iterative accumulated delay set of the node i of the node i transmitted to the original node of the system via the neighbor node;

节点i根据迭代累加时延集的结果以及大型服务器发送的操作信息在迭代累加时延集后进行操作。The node i operates after iteratively accumulating the delay set according to the result of the iterative accumulated delay set and the operation information sent by the large server.