CN105025077A - A cloud computing-based vehicle Internet of Things operation system - Google Patents

Abstract

The invention discloses a cloud computing-based vehicle-mounted Internet of things operation system which is characterized by comprising a vehicle-mounted terminal subsystem, a road condition sensing subsystem and a central data processing and intelligent control subsystem; the vehicle-mounted terminal subsystem is a plurality of intelligent vehicle-mounted terminals, the road condition perception subsystem is a plurality of roadside perception devices, and the central data processing and intelligent control subsystem comprises an Internet of things application middleware and a background cloud computing platform; the intelligent vehicle-mounted terminal comprises a Bluetooth module, an RFID vehicle automatic identification module, a voice forwarding terminal, a GPS positioning module, an anti-theft module and a controller; the application middleware of the Internet of things is composed of boundary nodes and internal nodes. The method and the system realize effective fusion of the vehicle-mounted Internet of things technology and the cloud computing technology, solve the problem of heterogeneous data access and the problem of data type access, realize storage, analysis, parallel processing and real-time mining of mass data, and have good system expandability, reliability and universality.

Description

A cloud computing-based vehicle Internet of Things operation system

technical field

The invention belongs to the technical fields of cloud computing and the Internet of Things, and in particular relates to a cloud computing-based vehicle Internet of Things operating system.

Background technique

The vehicle-mounted Internet of Things is the concrete embodiment and application of the Internet of Things in the transportation industry. The vehicle-mounted Internet of Things system uses advanced sensing technology, network technology, computing technology, control technology, and intelligent technology to conduct comprehensive perception of roads and traffic, and realize the interaction of large-scale and large-capacity data between multiple systems. Cars control the whole traffic, and control the traffic of each road in full time and space, so as to provide networks and applications that focus on traffic efficiency and traffic safety. The services of in-vehicle IoT can be divided into three basic types, namely, traffic information and navigation services, safe driving and vehicle protection services, and vehicle maintenance, entertainment and communication services for fault diagnosis.

Cloud computing is a large-scale distributed computing model, which uses the transmission capacity of the high-speed Internet to move the data processing process from personal computers or servers to computer clusters on the Internet, and provides abstract, virtual, Dynamic, manageable computing power, storage, platforms and services. Cloud computing provides a very appropriate solution for the background data processing center of the vehicle-mounted Internet of Things operation platform, which can lay the cornerstone for the success of the vehicle-mounted Internet of Things operation platform.

At present, the massive, distributed, heterogeneous, and complex data generated by the vehicle-mounted Internet of Things has brought great difficulties to the realization of the vehicle-mounted Internet of Things operation platform. The computational complexity of processing these data is very high. Traditional stand-alone servers The limited computing resources that the system can provide often cannot meet the requirements. In addition, the vehicle-mounted terminal in the existing vehicle-mounted Internet of Things operation platform cannot make smart route navigation and dynamic logistics distribution route planning based on dynamic road conditions, weather and other environmental information.

How to make use of the advantages of cloud computing, such as ultra-large scale, virtualization, high reliability, high versatility, high scalability, on-demand service, and ease of use, to dynamically allocate abstract computing and storage resources to users who need them, Combined with data mining technology, the same data mining algorithm can be distributed on multiple nodes, and multiple nodes are calculated in parallel, and multiple resources are allocated on demand. At present, there is no such combination of cloud computing and vehicle-mounted Internet-connected technology.

Contents of the invention

The technical problem to be solved by the present invention is to provide a cloud computing-based vehicle Internet of Things operation system for the above-mentioned deficiencies in the prior art. The model structure of the cloud computing-based vehicle Internet of Things in the present invention, based on cloud computing and SOA architecture, Web Service interface service, GPS navigation technology, cloud computing, Internet of Things technology, RFID technology, Internet of Things data fusion technology, data mining technology, multi-objective optimization technology, architecture of sensor network data management system, storage and indexing of sensor data, Sensor data query technology, data selective collection and data fusion methods in vehicle IoT, data storage and normalization methods in vehicle IoT, etc., to build a cloud computing-based vehicle IoT operation demonstration platform, including: ①Real-time intelligent decision support Vehicle terminal subsystem; ②real-time road condition perception subsystem; ③central data processing and intelligent control subsystem. This system realizes the effective integration of vehicle-mounted Internet of Things technology and cloud computing technology, solves the problem of heterogeneous data access and non-existent data type access, realizes the storage, analysis, parallel processing, and real-time mining of massive data, and the system is scalable , reliability and versatility are very good.

In order to solve the above technical problems, the technical solution adopted by the present invention is: a cloud computing-based vehicle Internet of Things operation system, characterized in that it includes a vehicle terminal subsystem, a road condition perception subsystem, and a central data processing and intelligent control subsystem; The vehicle-mounted terminal subsystem is a plurality of intelligent vehicle-mounted terminals, the road condition sensing subsystem is a plurality of roadside sensing devices, and the central data processing and intelligent control subsystem includes an Internet of Things application middleware and a background cloud computing platform; The intelligent vehicle-mounted terminal includes a Bluetooth module, an RFID vehicle automatic identification module, a voice forwarding terminal, a GPS positioning module, an anti-theft module and a controller; the Internet of Things application middleware is composed of border nodes and internal nodes.

Further, the border node is provided with an RFID reader.

Further, the internal node is composed of an event management system, a task management system, and an interface module.

Further, the intelligent vehicle terminal communicates wirelessly with the vehicle client mobile phone.

Further, the intelligent vehicle-mounted terminal is connected with a third-party application client through GPRS or SMS.

Further, the event management system is mainly used to receive and process the information obtained from the border nodes, and filter to obtain the required data; the task management system is responsible for managing the events sent by the upper-level middleware or the vehicle-mounted Internet of Things application to the current-level middleware The task; the interface module is composed of the interface for the specific application of the enterprise, the EPC information service interface and the ONSH service interface.

Further, the third-party application client is a WEB server.

Further, the roadside sensing device is an infrared sensor, a laser scanner, a camera and other vehicle information collection sensors.

Further, the background cloud computing platform is a WEB server or a database server.

Compared with the prior art, the present invention has the following advantages:

1, the cloud computing platform developed by the present invention, design and realize its data specification function, solve heterogeneous data access problem and non-existing data type access problem; Then, design and realize a SOA framework based on the developed cloud computing platform Mass data mining platform. Using cloud computing technology to realize massive data storage, analysis, parallel processing, and real-time mining; adopting SOA architecture design greatly enhances the scalability of the system.

2. Based on methods such as demand-driven acquisition, threshold forwarding, and multi-route merging, the present invention ensures that the vehicle-mounted Internet of Things data is controllable in scale and has good reliability.

3. The vehicle-mounted terminal of the present invention makes dynamic intelligent decisions based on real-time traffic information, and the vehicle-mounted terminal can dynamically adjust the navigation planning route and logistics cargo delivery route according to the obtained dynamic road condition information, with high efficiency and excellent performance.

4. The present invention realizes the effective integration of vehicle-mounted Internet of Things technology and cloud computing technology, solves the problem of heterogeneous data access and non-existent data type access, and realizes the storage, analysis, parallel processing, and real-time mining of massive data.

The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

Description of drawings

Fig. 1 is a hierarchical diagram of the vehicle-mounted Internet of Things operation platform based on cloud computing of the present invention;

Fig. 2 is the system architecture diagram of the vehicle-mounted Internet of Things operation platform based on cloud computing of the present invention;

Fig. 3 provides a schematic structural diagram of different usage modes for the Internet of Things cloud of the present invention;

Fig. 4 is the EPC middleware structure schematic diagram of the vehicle-mounted Internet of Things based on cloud computing of the present invention;

FIG. 5 is a schematic diagram of the application topology of the intelligent vehicle terminal equipment of the present invention.

Detailed ways

As shown in Figures 1 and 2, a cloud computing-based vehicle-mounted Internet of Things operating system is characterized in that it includes a vehicle-mounted terminal subsystem, a road condition perception subsystem, and a central data processing and intelligent control subsystem; the vehicle-mounted terminal subsystem It is a plurality of intelligent vehicle-mounted terminals, and the road condition perception subsystem is a plurality of roadside perception devices, and the central data processing and intelligent control subsystem includes the Internet of Things application middleware and background cloud computing platform; the intelligent vehicle-mounted terminal It includes a Bluetooth module, an RFID vehicle automatic identification module, a voice forwarding terminal, a GPS positioning module, an anti-theft module and a controller; the IoT application middleware is composed of border nodes and internal nodes.

In this embodiment, the border nodes are provided with RFID readers.

In this embodiment, the internal nodes are composed of an event management system, a task management system, and an interface module.

In this embodiment, the smart vehicle terminal communicates wirelessly with the vehicle client mobile phone.

In this embodiment, the intelligent vehicle-mounted terminal is connected with a third-party application client through GPRS or SMS.

In this embodiment, the event management system is mainly used to receive and process the information obtained from the border nodes, and filter to obtain the required data; The task of the middleware; the interface module is composed of the interface for the specific application of the enterprise, the EPC information service interface and the ONSH service interface.

In this embodiment, the third-party application client is a WEB server.

In this embodiment, the roadside sensing devices are infrared sensors, laser scanners, cameras and other vehicle information collection sensors.

In this embodiment, the background cloud computing platform is a WEB server or a database server.

The architecture of the vehicle-mounted IoT cloud in Figure 2 mainly includes the hardware virtualization framework of the IoT cloud, sensing devices, IoT application middleware, and service management. All parts together constitute the IoT application platform, serving the operation managers and end users of IoT applications. The main functions of each part are as follows:

①Hardware virtualization framework

The hardware virtualization framework defines physical hardware resources such as servers, storage devices, and network devices managed by the cloud computing platform and corresponding virtualization methods and technologies, and delivers the above resources to users in a virtualized manner.

②Sensing equipment

Sensing devices mainly include intelligent terminals such as sensors, RFID, voice forwarding terminals, GPS vehicle machines, automatic vehicle identification terminals, positioning terminals, anti-theft vehicle terminals, controllers, and sensor networks that realize terminal interconnection. The sensing device is connected to the cloud computing platform through the network, and is managed by the middleware of the Internet of Things application.

③ IoT application middleware

The middleware for vehicle-mounted IoT applications mainly implements functions such as terminal device access, GPS/RFID/sensor event management, data storage, and IoT applications. It includes a series of related middleware products.

④Service management

Service management mainly includes the service portal of IoT cloud, life cycle management of IoT applications and services. In addition to the management of IT physical hardware and virtualized resources, the service management of the IoT cloud also includes the management of the architecture of the sensing device, events, and distributed architecture data platforms.

Industry users (intelligent transportation, transportation, logistics companies), content providers (producing text, images, audio, video or multimedia information, traffic information, weather information, personal information, etc. for service providers) and equipment providers in the application of vehicle Internet of Things Businesses, network operators (including telecom operators, satellite operators, radio and television network service providers, etc.), people in different industries face different problems, and have different functional requirements for the Internet of Things cloud. Therefore, the design of this project is based on the cloud computing in-vehicle Internet of Things operation platform to provide corresponding usage modes for different users, as shown in Figure 3, including:

①Development/testing platform for in-vehicle IoT applications

For developers of IoT applications, how to quickly obtain the development and testing environment for vehicle-mounted IoT applications is the key to improving their production efficiency. Therefore, the virtualization resources of the IoT cloud and IoT application middleware can provide Application developers quickly provide the required application development and testing environment as well as the basic application platform to accelerate the development and testing cycle of IoT applications. Its use process is as follows:

●The administrator of the cloud computing platform defines the template of the vehicle IoT application development or testing environment, including the required virtual machine environment and the IoT application middleware that needs to be deployed.

●Vehicle IoT application developers log in to the cloud computing platform, and select the required application development or testing environment from the service catalog of the IoT cloud.

●The cloud computing platform automatically deploys and configures the development or test environment applied by the application developer, and returns the access information of the environment to the IoT application developer.

●Vehicle IoT application developers connect their terminal devices to the cloud computing platform, and start the development and testing of vehicle IoT applications.

②Operation platform for in-vehicle IoT applications

Operators of in-vehicle IoT applications hope to simultaneously deploy and operate multiple IoT applications on their basic platforms, thereby taking advantage of the scale effect of applications to reduce operating costs. Among them, the use of shared terminal equipment access and data storage is an important way to reduce costs. Utilizing the middleware of in-vehicle IoT applications, the IoT cloud can serve as an event capture and data storage platform for IoT devices to support the large-scale operation of IoT applications. The steps are as follows:

● The cloud computing platform administrator prepares the application's event capture and data storage platform, including virtual servers and middleware for sensing event capture or data storage.

●In-vehicle IoT application operator logs into the cloud computing platform, and selects the required event channel or data storage service from the service catalog of the in-vehicle IoT cloud.

●The cloud computing platform automatically deploys and configures the application middleware, prepares the required event channel or data storage space, and returns the access information.

●In-vehicle IoT application operators point the event channel or data storage of the in-vehicle IoT application to the corresponding resources on the cloud computing platform, so as to use the resources of the cloud computing platform to support the operation of the application.

③Online application platform for in-vehicle IoT applications

For users, quickly obtaining IoT applications that meet their own business requirements is their main requirement. The vehicle-mounted IoT cloud can provide vehicle-mounted IoT applications that meet various scenarios such as personnel or vehicle positioning, logistics traceability, business process monitoring and optimization, and data analysis. Its use process is as follows:

●The administrator of the cloud computing platform defines the template of the vehicle IoT application scenario, including the required virtual machine environment, application middleware and typical applications that need to be deployed.

●In-vehicle IoT application users log in to the cloud computing platform and select their desired IoT application scenarios from the service catalog of the in-vehicle IoT cloud.

●The cloud computing platform automatically deploys and configures the applied application scenarios, and returns the application access information to the IoT application users.

●In-vehicle Internet of Things application users connect their terminal devices to the cloud computing platform and start using the in-vehicle Internet of Things application.

Vehicle Internet of Things is to connect any item with the Internet through radio frequency identification (RFID), infrared sensor, GPS global positioning system, laser scanner and other information sensing equipment according to the agreed agreement, for information exchange and communication, in order to realize A network for intelligent identification, positioning, tracking, monitoring and management. The three levels of the Internet of Things, the perception layer, the network layer, and the application layer. The perception layer mainly realizes the automatic collection and identification of RFID tags through GPS vehicle terminal and radio frequency identification (RFID) system. RFID tags are attached to trackable vehicles to achieve global circulation. The sensor is connected to the information system to read the electronic code (Electronic Product Code, EPC) in the tag and input it into the network information system. The network layer of the vehicle-mounted Internet of Things will be established on the basis of the existing mobile communication network and the Internet, and the data collected and uploaded by the perception layer will be stored, queried, analyzed, mined, understood, and decision-making and behavior based on the perception data will be realized. The core of data management and processing is EPC middleware. As an important part of the Internet of Things network layer, it provides various service foundations for the application layer. The application layer is the application software and intelligent control technology part of the vehicle Internet of things.

The EPC middleware system of the vehicle-mounted Internet of Things operation platform based on cloud computing is mainly composed of boundary nodes (Es) and internal nodes (Is), and the nodes are mostly distributed in different places. This characteristic determines that the distributed system architecture should be an inevitable choice, and the system architecture based on cloud computing technology can maximize the advantages of distributed computing. The structure of EPC middleware system based on cloud computing in-vehicle Internet of Things is shown in Figure 4.

In the border node, the RFID reader is used to receive the radio frequency signal of the RFID tag. After the information is initially processed, it is transmitted to the corresponding internal node through the data transmission interface.

Internal nodes are composed of event management system, task management system and interface modules. The event management system is mainly used to receive and process the information obtained from the border nodes, and to filter the required data; the task management system is responsible for managing the tasks sent to the middleware by the upper-level middleware or vehicle-mounted Internet of Things applications. It runs on the EPC middleware side on behalf of the user, and uses the SOAP server to be responsible for indicating the functions and interfaces of task management. It makes the task manager a SOAP service that can be uniformly accessed by all systems; the interface module consists of interfaces for specific applications of enterprises and EPC information services. (EPCIS) interface and ONSH service interface, which is the channel for the EPC middleware system to interact with the outside world. By using cloud computing technology, the interface module provides a stateful Web Service to the outside, shielding the differences in the implementation of each subsystem within the system. The communication method between the EPC middleware and the external environment is unified. The subsystem in the module adopts the design idea of SOA, which makes the whole module flexible and easy to expand. When the business logic of the external environment changes, as long as the Web Service interface remains unchanged, the EPC Middleware does not need to be adjusted.

The schematic diagram of the application topology of the intelligent vehicle terminal equipment is shown in Figure 5, including the following functional parameters.

1) Functions of the smart vehicle terminal:

①Through the vehicle-mounted intelligent gateway, receive the instructions sent by the vehicle-mounted Internet of Things operation platform and the vehicle client and execute them in accordance with the instructions to realize the control and communication of related equipment in the vehicle; at the same time, actively upload relevant data to the vehicle-mounted Internet of Things operation platform and vehicles according to the configuration at regular intervals Client mobile phone; in addition, it realizes related local application functions of car phone and car early warning.

②The vehicle-mounted Internet of Things operation platform receives the information data sent by the vehicle-mounted intelligent gateway, and the information data that can be sent to the third-party platform is processed accordingly and then sent to the third-party application platform; The instructions of the platform are sent to the vehicle intelligent gateway, and it is required to respond correctly.

③ The mobile phone and the mobile client receive relevant data from the vehicle-mounted intelligent gateway, detect its status, and receive its alarm information; send instructions to the mobile client to manage and set it, etc.

2) The terminal system parameters are as follows:

①Support GSM850/900/1800/1900MHz.

② Support network type: EDGE/GPRS/GSM.

③Support the Bluetooth 2.1 standard, and can be extended to connect to a dedicated Bluetooth car bus adapter, which can obtain various bus data related to the car. When the car is abnormal, it can promptly remind the owner and notify the background; at the same time, the vehicles that join the operation can be obtained according to the vehicle situation real-time data.

④Support 2.4G RFID standard, expandable external RFID TAG and some proprietary equipment. RFID mainly realizes the automatic arming and disarming function of vehicle safety; at the same time, it can be used as a proprietary identification mark of the vehicle, which can be dynamically provided to parking lots, 4S stores and so on.

⑤Support the connection of the intrusion detection module in the vehicle. When the vehicle is intruded, the on-site, remote vehicle owner's mobile phone terminal and the management terminal of the general capability platform can alarm at the first time; support the access of the air quality detection module in the vehicle, when the oxygen concentration in the vehicle When it drops to a certain percentage, when the human body in the car has been threatened, the on-site alarm is supported; the linkage of the emergency call button is supported. When an emergency occurs, press the emergency call button, and the device will automatically contact the emergency call contact person or the background to reach The purpose of timely rescue.

⑥Support GPS positioning. When an application needs GPS location information, the GPS positioning system will provide the necessary latitude and longitude information to the corresponding entity application.

⑦Support mobile phone client communication to achieve functions such as device configuration, control, and information acquisition.

⑧Support communication between GPRS channel and vehicle-mounted Internet of Things operation platform to achieve functions such as equipment configuration, control, and information acquisition.

In-vehicle IoT is a huge network of wireless sensors. This topic is to use advanced sensing technology, network technology, computing technology, control technology, and intelligent technology to comprehensively perceive roads and traffic, realize the interaction of large-scale and large-capacity data between multiple systems, and monitor the traffic of each vehicle. Full-process control, full-time and space-time traffic control for each road, to provide networks and applications that focus on traffic efficiency and traffic safety. The services of in-vehicle IoT can be divided into three basic types, namely, traffic information and navigation services, safe driving and vehicle protection services, and vehicle maintenance, entertainment and communication services for fault diagnosis.

The basic principle of the present invention is: the vehicle-mounted Internet of Things operation platform is the "brain" of the vehicle-mounted Internet of Things, which makes vehicles, roads, vehicle management, and dispatching form a collaborative system, and can implement real-time management and control of vehicles and road conditions in the network , to provide users with real-time and accurate traffic information query, vehicle tracking and positioning, transportation route selection, logistics network design and optimization, safe driving and vehicle protection, targeted advertising, entertainment and other services. Vehicles and roads can be managed in a more refined and dynamic manner through the Internet of Vehicles, so that vehicles and roads, logistics and passenger flow can reach a state of "rationality and wisdom", and this "rationality and wisdom" is based on the operation platform of the Internet of Vehicles Based on the intelligent processing of vehicle-mounted IoT data. Due to the access of vehicles and roads, the scale of the Internet of Vehicles is very large. The data on the Internet of Vehicles has the characteristics of massive, complex, rich semantics, and real-time transmission, which brings huge challenges to the operation platform of the Internet of Vehicles. .

First of all, the research of the present invention is based on cloud computing and SOA architecture: use the cloud computing platform to design and implement its data specification function, solve the heterogeneous data access problem and the non-existing data type access problem; then, design on the basis of the developed cloud computing platform And implement a massive data mining platform based on SOA architecture. Using cloud computing technology to realize massive data storage, analysis, parallel processing, and real-time mining; adopting SOA architecture design greatly enhances the scalability of the system.

Then, study the Web Service interface service: one of the goals of the platform is to realize the integration of data mining and industry application software, which requires the platform to provide the necessary secondary development interface. The requirements are as follows: platform independence, comprehensive support for various development languages such as JAVA, C#, Delphi; encapsulation, the interface only provides input and output, and the processing process is encapsulated; scalability, the secondary development interface can be used in the system as needed The expansion of the interface can be completed in the case of recompilation. To meet the above requirements, Web Service will be the best choice.

Finally, a method of selective acquisition and data fusion of vehicle-mounted IoT data is studied, based on methods such as demand-driven acquisition, threshold forwarding, and multi-routing merging, to ensure that the scale of vehicle-mounted IoT data is controllable; research a vehicle-mounted Data storage and normalization methods in the Internet of Things, based on the optimal data storage (ODS) algorithm, RFID-Cuboids, and SMURF models with optimal global data storage locations, combined with Google File System (GFS) and MapReduce programming models for cloud computing In order to form the distributed database BigTable required by the cloud computing terminal of the in-vehicle Internet of Things. Research on the dynamic intelligent decision-making method of vehicle-mounted terminals based on real-time traffic information. Vehicle-mounted terminals can dynamically adjust the navigation planning route and logistics cargo delivery route according to the obtained dynamic road condition information.

The above are only preferred embodiments of the present invention, and do not limit the present invention in any way. All simple modifications, changes and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still belong to the technical aspects of the present invention. within the scope of protection of the scheme.

Claims (9)

1. based on a vehicle-mounted Internet of Things operation system for cloud computing, it is characterized in that, comprise car-mounted terminal subsystem, road conditions perception subsystem and centre data process and Based Intelligent Control subsystem; Described car-mounted terminal subsystem is multiple intelligent vehicle-mounted terminal machine, and described road conditions perception subsystem is multiple roadsides awareness apparatus, and described centre data process and Based Intelligent Control subsystem comprise Internet of Things Application Middleware and backstage cloud computing platform; Described intelligent vehicle-mounted terminal machine comprises bluetooth module, RFID automatic vehicle identification module, voice forwarding terminal, GPS locating module, anti-theft module and controller; Described Internet of Things Application Middleware is made up of boundary node and internal node.

2. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, it is characterized in that, described boundary node is provided with RFID recognizer.

3. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, it is characterized in that, described internal node is made up of event management system, task management system, interface module.

4. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, it is characterized in that, described intelligent vehicle-mounted terminal machine communicates with vehicular client mobile phone wireless.

5. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, is characterized in that, described intelligent vehicle-mounted terminal machine is by GPRS or SMS and third-party application client's side link.

6. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 3, is characterized in that, described event management system is mainly used in receiving and processing the information obtained from boundary node, and filtration obtains required data; Task management system is in charge of the task of being sent to middleware at the corresponding levels by higher level's middleware or vehicle-mounted Internet of Things application program; Interface module is made up of the interface of To enterprises embody rule, EPC information service interface and ONSH service interface.

7. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 5, it is characterized in that, described third-party application client is WEB server.

8. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, is characterized in that, described roadside awareness apparatus is infrared inductor, laser scanner, camera and other collecting vehicle information transducers.

9. a kind of vehicle-mounted Internet of Things operation system based on cloud computing according to claims 1, it is characterized in that, described backstage cloud computing platform is WEB server or database server.