CN108470047B - Remote platform monitoring system based on Internet of Things - Google Patents
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Abstract
The invention discloses a remote platform monitoring system based on the Internet of things, which comprises a client, a front-end system and a back-end system, wherein the front-end system and the back-end system are used for supporting the client; the front-end system includes: the system comprises a history module and a page management module, wherein the history module and the page management module are used for creating and managing a page module of a front-end system, and the page module mainly comprises a plurality of pages; the scene module is also connected with a front-end server and an analysis server for providing a data source; the back-end system comprises a back-end server connected with the front-end server, and the back-end server is also connected with: the system comprises a cloud storage server, a cargo information retrieval server, a back-end management platform and a user settlement server. The invention has the advantages of convenient cargo information retrieval, high language processing and analysis efficiency and good big data collection and processing.
Description
Technical Field
The invention relates to the field of Internet of things, in particular to a remote platform monitoring system based on the Internet of things.
Background
The combination of logistics and internet technology is already a trend of development of internet technology in recent years, is an important component part of new generation information technology, and is also an important development stage of an 'informatization' age. The English name is: "Internet of things (IoT)". As the name implies, the internet of things is the internet to which things are connected. This has two layers of meaning: firstly, the core and the foundation of the Internet of things are still the Internet, and the Internet is an extended and expanded network based on the Internet; secondly, the user side extends and expands to any article to article, and information exchange and communication are carried out, namely, the article information is carried out. The internet of things is widely applied to the fusion of networks through communication sensing technologies such as intelligent sensing, recognition technologies, pervasive computing and the like, and is also called as the third wave of development of world information industry after a computer and the Internet. The internet of things is an application expansion of the internet, and is a network rather than a business and an application.
Traditional logistics industry combined with internet of things has become an unblockable development trend of the industry, and although the combination of the traditional internet of things has a plurality of outstanding advantages, a plurality of problems still exist.
1. The cargo detailed information retrieval problem, the logistics content not only comprises the number/letter number, but also can comprise various formulas, symbols, expressions, small language characters and the like in the cargo information/batching table. How to efficiently retrieve such information would make the use of internet of things remote monitoring a difficulty at present. 2. The user inputs natural language processing, and the project monitors the overall trend of the logistics types by collecting the input of the user, so that the system is required to have a natural language processing function, the natural language processing is an extremely difficult problem, and the research on the aspect of the international technology is limited at present. 3. Large-scale data analysis in order to provide a comprehensive tool for analyzing logistics-related large data information to a supervisory personnel, the project needs to perform transverse processing and comparison on large-scale cargo data. In order to ensure real-time and efficient processing, the system is required to have the capability of rapidly processing large-scale data. Therefore, how to efficiently design the data structure of the system and the system architecture to process the user data quickly and efficiently is a key problem that needs to be solved rapidly.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a remote platform monitoring system based on the Internet of things.
The remote platform monitoring system based on the Internet of things comprises a client (APP), a front-end system and a back-end system, wherein the front-end system and the back-end system are used for supporting the client, the client comprises a plurality of independent application programs, and the application programs can display pages.
The front-end system includes: a History module (History) for managing all History changes and History events at the front end; the system comprises a Page management module (connector) for creating and managing a Page module of a front-end system, wherein the Page module mainly comprises a plurality of pages; a scene module (Context) comprising a number of skeleton objects for supporting pages; the scenario module is also connected to a front-end server for providing a data source and an analysis server.
The back-end system comprises a back-end server connected with the front-end server, and the back-end server is also connected with: the cloud storage server is used for storing data; the goods information retrieval server is used for processing goods information data in the cloud storage server and generating an index for calling a search result; the back-end management platform is used for managing data in the cloud storage server by a user; and the user settlement server is used for managing the user settlement information and generating a settlement list.
Further, the skeleton object includes: a user interaction information management module (analysis) for managing user interaction information and analyzing user interaction of the front-end system; a data source management module (model) capable of obtaining a data source from a front-end server and caching the data source; an Error notification module (Error Norifier) capable of sending the front-end log to the back-end log system; a view generating module (virtual factor) for creating all view objects of the whole front-end system and injecting the view objects into each page; a Control generating module (Control factor) for creating all Control objects of the front-end system and injecting the Control objects into the page; a page element operation module (Shell) for adding/deleting elements in the page; a verification module (verification Util) for verifying information input by a user; an abstract User side (User Agent) contains all User information.
Furthermore, the front-end system comprises a management state module for representing the state of the module, and the page and the history module are provided with the management state module.
Further, the front-end module is constructed and developed by adopting Google Web Toolkit.
Further, the front-end system builds pages based on Ajax.
Further, the page is generated based on the close template system, and the generated page is an HTML page.
Further, the back-end system also comprises a mail server connected with the settlement server, and the mail server is used for sending mails to the client.
Further, the page module comprises a page manager module for managing pages, and each page corresponds to one page manager module; the page unit includes: user pages, list pages, view pages, home pages.
Further, the back-end system comprises an AWS elastic computing server, and all the servers of the back-end system run on the AWS elastic computing server.
Further, each server running on the AWS elastic computing server communicates by using a thread system.
The invention solves the problem of difficult retrieval by two aspects, namely, a search engine framework and an index for establishing detailed information of goods. There are currently some internationally recognized solutions to the search engine architecture, for example, apache Lucene. Lucene is an open source search engine architecture supporting a variety of search engine functions that can build text indexes, correct spelling, highlight search hits, phrase search text, etc. By using the open source search engine framework, a confusing logistics monitoring and searching system can be effectively constructed. For establishing the index problem of the logistics detailed information, the main solution is to encode complex formulas, symbols and expressions by adopting a special encoding mode, and convert the complex formulas, symbols into a text format for indexing. In the expression layer of the formula and the symbol, the formula to be expressed and the symbol are converted into an HTML format and displayed to a user by using a display tool such as MathJax. Therefore, the problem of natural language processing can be solved by adopting a mode of converting some problems, useful information is extracted by analyzing the input of a user, and then the useful information is compared with detailed information of goods to generate visual judgment on logistics information. Large-scale data analysis is solved by a distributed system, by processing mutually independent sub-tasks in parallel, and finally summarizing the tasks to achieve maximum distributed efficiency. The large-scale data analysis operation needs to adopt a distributed data processing framework, and a AWS Elastic MapReduce cloud platform is preferably adopted, so that the large-scale data can be processed economically and efficiently by using the platform, and parallel processing of the large-scale data by hundreds of servers becomes possible.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, based on the examples herein, which are within the scope of the invention as defined by the claims, will be within the scope of the invention as defined by the claims.
In the front-end system shown in fig. 1, the front-end system is mainly developed by using Google Web Toolkit, and the user experience is finished by using rich Ajax technology and the concept of Web 2.0. And simultaneously, the problem of search engine retrieval is solved by combining the Closure template technology. Thus, a front-end system which is completely based on the Web2.0 technology and also takes search engine retrieval into account is constructed.
(1)Google Web Toolkit
Google Web Toolkit (GWT) is a Java language-based front-end development system developed by Google, inc. of America, capable of compiling Java into JavaScript files for running on the browser front-end. Thus, various problems of JavaScript, such as compile time type detection, inheritance, polymorphism, and large item management, are solved. While the GWT also provides JSNI interface so that it can freely use existing JavaScript libraries.
Another advantage of GWT is that it makes front-end development faster, of higher quality, suitable for development of large commercial projects.
(2)Ajax
Ajax is the core content of Web2.0, and the user experience can be greatly improved through an asynchronous communication mode. The GWT is provided with a Remote Procedure Call system and an object serialization system. The implementation of Ajax is made simpler. By using the Ajax technology, the full page loading of the website can be greatly reduced, the page reflecting speed is faster, and the throughput of a server side can be reduced.
(3)Closure Template
Closure Template is an open source Template system developed by Google, inc. of America that is neutral to the programming language and can conveniently generate HTML pages. The use of close Template can enable search engine optimization because hundred degree search engines cannot effectively retrieve Ajax content. By generating an HTML page and presenting the HTML page to a user and then operating the HTML page structure by using JavaScript, the page can be retrieved by a search engine without losing the user experience of the front end.
(4) Front end animation
To optimize the user experience, the animation tools provided by the GWT are flexibly used.
(5) Search engine optimization
The search engine directly affects the traffic of the website, and the timely retrieval of the website by the search engine is critical to the traffic. Search engine optimization systems mainly use three methods. First, using a close Template ensures that the content of the web site can be found directly by the search engine. Secondly, the release of cargo information content and the format of an HTML document are optimized, and the sequencing result of a search engine is improved. Third, the platform has certain popularity by combining with a third-party content publisher, and finally the aim of improving the sequencing result of the search engine is achieved.
(6) Server push technology
The present platform requires that the server be able to push information to the client, e.g., push update data for some platforms to the user. The conventional HTTP protocol does not implement this function, and therefore requires some special tools to implement server push. The project uses an Atmosphere framework to realize a server-side push function.
(7) Formula symbol display
The project requires the display of a large number of complex formulas, symbols, expressions, rare words, and the like. Whereas general text encoding does not have these complex symbols. Therefore, a system is needed to realize the input and output functions of complex formula symbols. The project adopts MathJax tool, and the tool can better realize the display and input problems of complex formulas and symbols at the browser end.
App: abstraction of the entire front-end system, encapsulating several important parts of the system, such as: history, conducotr, appContext, and the like. The App also manages the creation of the main objects of the front-end system and manages the dependent injection system.
History: the History manager of the front-end system abstracts, and all History changes and History trigger events are managed through a History object.
Conductor: and managing each page of the front-end system, switching popup windows, switching pages, and managing the front-end state through the operation and management of a connector.
Context: the framework object of the front-end system is contained, and the Context is a single-instance global static object, so that any object can conveniently use the framework object.
Page: pages (complex form of Pages) abstractions represent each Page, created and managed by a Conductor. Page uses MVC design pattern, each Page object contains three objects of Model, view, controller, the Model represents the data source of the Page, the View represents the appearance of the Page, the Controller represents the manager of the Page, and the operation and event of all the pages are managed.
Analytics for packaging and managing user interaction information for analyzing user interactions of the front-end system. This module integrates Google analysis for generating user usage data for the entire front end for future enhancements to the front end system design.
The Model is used for packaging and managing all the services related to the data source, can acquire the data source from the server end, can cache the data source, and is convenient for the front-end system to share.
Error Notifier: the front-end log system is managed and all generated front-end logs will be sent to the back-end log system via this service to discover user-triggered front-end errors.
View factor: all View objects responsible for creating the entire front-end system are used to inject into each Page.
Control factor: all the Controller objects responsible for creating the entire front-end system are used to inject into each Page.
Shell: window objects representing the entire application, each object may manipulate shell objects to add and delete elements in the page.
User Agent: an abstraction of the user side contains all user information, such as: browser category, version, cookie, etc.
CS ConductState represents an abstraction of the State of a system. For example: when the user switches to the user main interface, the connector State changes, and other parts of the trigger system change along with the change of the connector State.
Page Manager: page Manager is used to manage the various pages, each of which will have a respective Page Manager used to manage the various operations and triggered events on the pages.
Validation Util: the method is mainly used for verifying user input and ensuring that the user inputs required information, such as verification passwords, mail addresses and the like.
For background systems:
(1) AWS RDS & EC2 cloud services
The AWS is a cloud service platform provided by Amazon corporation of the united states, which is currently the international leading cloud service platform. The storage system and the service system of the vertical search system are respectively erected on the AWS RDS and EC2 cloud platforms. AWS RDS provides SQL database cloud services, can support tremendous throughput, data center support worldwide, and provides robust data security services. The AWS EC2 is used for providing a service system of the vertical search system, and the EC2 has very high expansibility and usability, and can dynamically control parameters such as the number of servers, load balancing and the like according to the system flow. The use of EC2 also ensures data support of the system worldwide. Finally, the use of AWS can significantly reduce the initial cost of system construction.
(2) Back-end RPC system
Communication between the back-end platform systems will use a thread system, which is an RPC system developed by Facebook corporation of united states, supporting more than 20 dominant languages, which not only has an excellent data serialization system, but also has a multi-language-based RPC engine. By adopting the RPC system, each background system can be effectively split, and the independence of each system is kept. So that the respective systems are easy to maintain.
(3) User and goods information management system
The user and the goods information system user manage all user data and goods information internally. The system provides functions of internal creation, updating, display, deletion and the like of users and goods information.
(4) Cargo information retrieval server
In order to efficiently and quickly establish a retrieval service, the cargo information retrieval server will employ a distributed architecture. The data is distributed using Hadoop technology to construct an index of cargo information, and an index data structure.
Front-end server: representing the entire front-end system, the system will present the item in the user's browser. All user data is sent to the system back-end via the front-end server.
The back-end server: the front end only communicates information with the server, the server is the core of the whole back end system, and most of system data can exchange information through the server.
AWS cloud storage server: the storage end is used for storing all data.
AWS elastic computing server: the system is the basis of the whole back-end system, and all back-end services run on an elastic computing server.
Mail server: the method is used for sending mails to owners of the goods, such as notification push information and the like, and is mainly used for information notification.
Cargo information retrieval server: the method is used for processing cargo information data in cloud storage and generating an index for a server side to call a search result.
And the back-end management platform: for managing the entire memory material of the back-end.
User settlement server: user settlement information is managed, a settlement list is generated for providing settlement certificates for users, and the server is also used for calculating and generating settlement results.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention.
Claims (7)
1. The remote platform monitoring system based on the Internet of things is characterized by comprising a client, a front-end system and a back-end system, wherein the front-end system and the back-end system are used for supporting the client, the client comprises a plurality of independent application programs, and the application programs can display pages;
the front-end system includes: the history module is used for managing all history changes and history events of the front end;
the page management module is used for creating and managing a page module of the front-end system, and the page module consists of a plurality of pages;
the scene module comprises a plurality of skeleton objects, wherein the skeleton objects are used for supporting pages;
the scene module is also connected with a front-end server and an analysis server for providing a data source;
the back-end system comprises a back-end server connected with the front-end server, and the back-end server is also connected with:
the cloud storage server is used for storing data;
the goods information retrieval server is used for processing goods information data in the cloud storage server and generating an index for calling a search result;
the back-end management platform is used for managing data in the cloud storage server by a user;
the user settlement server is used for managing user settlement information and generating a settlement list;
wherein,,
the skeleton object includes: the user interaction information management module is used for managing the user interaction information and analyzing the user interaction of the front-end system; the data source management module can acquire a data source from the front-end server and cache the data source; the error notification module can send the front-end log to a log system at the back end; the view generation module is used for creating all view objects of the whole front-end system and injecting the view objects into each page; the control generation module is used for creating all control objects of the front-end system and injecting the control objects into the page; the page element operation module is used for adding/deleting elements in the page; the verification module is used for verifying information input by a user; the abstract user terminal comprises all user information;
the front-end system comprises a management state module for representing the state of the module, and the page and the history module are provided with the management state module;
the back-end system also comprises a mail server connected with the settlement server, wherein the mail server is used for sending mails to the client.
2. The remote platform monitoring system based on the internet of things according to claim 1, wherein the front-end system is constructed and developed by adopting Google Web Toolkit.
3. The internet of things-based remote platform monitoring system of claim 1, wherein the front-end system builds pages based on Ajax.
4. The internet of things-based remote platform monitoring system of claim 1, wherein the page is generated based on a close template system and the generated page is an HTML page.
5. The internet of things-based remote platform monitoring system of claim 1, wherein the page module comprises a page manager module for managing pages, one page manager module for each page; the page unit includes: user pages, list pages, view pages, home pages.
6. The internet of things-based remote platform monitoring system of claim 1, wherein the back-end system includes an AWS elastic computing server, all servers of the back-end system running on the AWS elastic computing server.
7. The internet of things-based remote platform monitoring system of claim 6, wherein each server running on the AWS elastic computing server communicates using a thread system.
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