CN111382213A - Data analysis system combining internet of things and cloud computing technology - Google Patents
Data analysis system combining internet of things and cloud computing technology Download PDFInfo
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Abstract
The invention discloses a data analysis system combining Internet of things and cloud computing technology, relates to the technical field of cloud computing, and particularly relates to a data analysis system combining Internet of things and cloud computing technology, which comprises an S1 initial information transmission module; s2, an event data summarizing module; s3, an event data processing module; and S4, the event data feedback module comprises an event data analysis result unit, a data report transmission unit and an event data result cloud transmission unit. The cloud computing and internet of things technology are combined with each other, reliable reference information can be provided for clients by utilizing the fact that a large database analyzes data rapidly and different results are obtained through different models, the data processing and analyzing capacity is greatly improved, the intelligence is higher, information which is beneficial to the clients is obtained rapidly from numerous and complicated data, and relatively reasonable suggestions are provided, the time for analyzing the data by the clients is greatly shortened, and the intelligence is higher.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a data analysis system combining internet of things and a cloud computing technology.
Background
The internet of things is a network concept derived from the development of the internet. With the continuous revolution of the internet of things technology, massive data information is generated, and large-scale data processing capacity and storage capacity are required. Cloud computing also belongs to the extended concept and technology of the internet, and with the deep application of the cloud computing technology, the cloud computing plays an increasingly important role in the development of the internet of things, information collection and information analysis are probably the most attractive application scenes of the current cloud model of the internet of things, the cloud computing is a model for paying according to the usage amount, this mode provides available, convenient, on-demand network access, into a configurable shared pool of computing resources (resources including networks, servers, storage, applications, services), the resources can be rapidly provided, little management work is required to be invested, or little interaction is carried out with a service provider, the data analysis capability of the existing cloud computing technology is limited, rapid analysis and report cannot be provided for a user, the time information is relatively lagged, the data analysis system combines the internet of things and the cloud computing technology and aims to solve the problems that inconvenience is brought to the use experience of a user.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a data analysis system combining the internet of things and the cloud computing technology, and solves the problems that the existing cloud computing technology proposed in the background technology has limited data analysis capability, cannot rapidly and quickly analyze reports, and brings inconvenience to the use experience of users due to relative lag of time information.
In order to achieve the purpose, the invention is realized by the following technical scheme: a data analysis system in connection with internet of things and cloud computing technologies, comprising:
s1, an initial information transmission module comprises an event input unit, an event data transmission unit and an event data storage unit;
s2, an event data summarizing module comprises an event data summarizing unit, an event data classifying unit and an event data encrypting unit;
s3, an event data processing module;
and S4, the event data feedback module comprises an event data analysis result unit, a data report transmission unit and an event data result cloud transmission unit.
Preferably, in step S1:
the event input unit is used for filling the generated event into a preset form corresponding to the event to complete the accumulation and input of the original data;
the event data transmission unit is used for transmitting data to the sub-cloud corresponding to each user through the Internet of things and transmitting the event data to the public cloud under the authorization condition of the user;
the event data storage unit is used for storing the received event data in the sub-cloud and the public cloud of the individual user respectively.
Preferably, in step S2:
the event data summarizing unit is used for summarizing event data through the Internet of things and a cloud computing technology;
the event data classification unit is used for classifying according to the information characteristics of the event data and classifying according to the information characteristics of the event result;
the event data encryption unit is used for encrypting the event data information through an encryption algorithm of a block chain technology.
Preferably, the event data processing module includes an event data model building unit, an event data comparing unit and an event data summarizing unit.
Preferably, the event data model establishing unit is configured to establish a model of event data, establish different models through background cloud computing after the event data is subjected to cloud processing through the internet of things, acquire various events in advance by the cloud, establish a basic model, and establish the event data by referring to the preset basic model after the event data is transmitted.
Preferably, the event data comparison unit is configured to compare and analyze the event data with an event originally stored in the cloud through the cloud computing system, find the most similar event data, and make a comparison determination.
Preferably, the event data summarization unit is used for comparing in the cloud and analyzing and sorting the obtained data results.
Preferably, in step S4:
the event data analysis result unit is used for sorting and analyzing the event data into reports through a cloud computing technology analysis structure;
the data report transmission unit is used for transmitting the analysis report to the terminal of the individual user;
and the event data result cloud transmission unit is used for transmitting the event data result to the cloud for storage, so that the database is enriched.
The invention provides a data analysis system combining internet of things and cloud computing technology, which has the following beneficial effects: the cloud computing and internet of things technology are combined with each other, reliable reference information can be provided for clients by utilizing the fact that a large database analyzes data rapidly and different results are obtained through different models, the data processing and analyzing capacity is greatly improved, the intelligence is higher, information which is beneficial to the clients is obtained rapidly from numerous and complicated data, and relatively reasonable suggestions are provided, the time for analyzing the data by the clients is greatly shortened, and the intelligence is higher.
Drawings
FIG. 1 is a schematic flow chart of the system of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, the present invention provides a technical solution: a data analysis system in connection with internet of things and cloud computing technologies, comprising:
s1, an initial information transmission module comprises an event input unit, an event data transmission unit and an event data storage unit;
s2, an event data summarizing module comprises an event data summarizing unit, an event data classifying unit and an event data encrypting unit;
s3, an event data processing module;
and S4, the event data feedback module comprises an event data analysis result unit, a data report transmission unit and an event data result cloud transmission unit.
Preferably, in step S1:
the event input unit is used for filling the generated event into a preset form corresponding to the event to complete the accumulation and input of the original data;
the event data transmission unit is used for transmitting data to the sub-cloud corresponding to each user through the Internet of things and transmitting the event data to the public cloud under the authorization condition of the user;
the event data storage unit is used for storing the received event data in the sub-cloud and the public cloud of the individual user respectively.
Preferably, in step S2:
the event data summarizing unit is used for summarizing event data through the Internet of things and a cloud computing technology;
the event data classification unit is used for classifying according to the information characteristics of the event data and classifying according to the information characteristics of the event result;
the event data encryption unit is used for encrypting the event data information through an encryption algorithm of a block chain technology.
Preferably, the event data processing module includes an event data model building unit, an event data comparing unit and an event data summarizing unit.
Preferably, the event data model establishing unit is configured to establish a model of event data, establish different models through background cloud computing after the event data is subjected to cloud processing through the internet of things, acquire various events in advance by the cloud, establish a basic model, and establish the event data by referring to the preset basic model after the event data is transmitted.
Preferably, the event data comparison unit is configured to compare and analyze the event data with an event originally stored in the cloud through the cloud computing system, find the most similar event data, and make a comparison determination.
Preferably, the event data summarization unit is used for comparing in the cloud and analyzing and sorting the obtained data results.
Preferably, in step S4:
the event data analysis result unit is used for sorting and analyzing the event data into reports through a cloud computing technology analysis structure;
the data report transmission unit is used for transmitting the analysis report to the terminal of the individual user;
and the event data result cloud transmission unit is used for transmitting the event data result to the cloud for storage, so that the database is enriched.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical scope of the present invention and the equivalent alternatives or modifications according to the technical solution and the inventive concept of the present invention within the technical scope of the present invention.
Claims (8)
1. A data analysis system combining Internet of things and cloud computing technologies, comprising:
s1, an initial information transmission module comprises an event input unit, an event data transmission unit and an event data storage unit;
s2, an event data summarizing module comprises an event data summarizing unit, an event data classifying unit and an event data encrypting unit;
s3, an event data processing module;
and S4, the event data feedback module comprises an event data analysis result unit, a data report transmission unit and an event data result cloud transmission unit.
2. The data analysis system in combination with internet of things and cloud computing technology of claim 1, wherein: in the step S1:
the event input unit is used for filling the generated event into a preset form corresponding to the event to complete the accumulation and input of the original data;
the event data transmission unit is used for transmitting data to the sub-cloud corresponding to each user through the Internet of things and transmitting the event data to the public cloud under the authorization condition of the user;
the event data storage unit is used for storing the received event data in the sub-cloud and the public cloud of the individual user respectively.
3. The data analysis system in combination with internet of things and cloud computing technology of claim 1, wherein: in the step S2:
the event data summarizing unit is used for summarizing event data through the Internet of things and a cloud computing technology;
the event data classification unit is used for classifying according to the information characteristics of the event data and classifying according to the information characteristics of the event result;
the event data encryption unit is used for encrypting the event data information through an encryption algorithm of a block chain technology.
4. The data analysis system in combination with internet of things and cloud computing technology of claim 1, wherein: the event data processing module comprises an event data model establishing unit, an event data comparing unit and an event data summarizing unit.
5. The data analysis system in combination with networking and cloud computing technology of claim 4, wherein: the event data model establishing unit is used for establishing a model of event data, after the event data is subjected to cloud computing through the Internet of things, different models are established through background cloud computing, the cloud collects various events in advance to establish a basic model, and the event data is transmitted and then is established by being compared with the preset basic model.
6. The data analysis system in combination with networking and cloud computing technology of claim 4, wherein: the event data comparison unit is used for comparing and analyzing the event data with events originally stored in the cloud through the cloud computing system, finding out the most similar event data and making comparison and judgment.
7. The data analysis system in combination with networking and cloud computing technology of claim 4, wherein: the event data summarization unit is used for comparing in the cloud and analyzing and sorting the obtained data results.
8. The data analysis system in combination with internet of things and cloud computing technology of claim 1, wherein: in the step S4:
the event data analysis result unit is used for sorting and analyzing the event data into reports through a cloud computing technology analysis structure;
the data report transmission unit is used for transmitting the analysis report to the terminal of the individual user;
and the event data result cloud transmission unit is used for transmitting the event data result to the cloud for storage, so that the database is enriched.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113159649A (en) * | 2021-01-19 | 2021-07-23 | 青岛达人孵化器有限公司 | Internet of things data processing resource reporting control method and cloud computing server |
CN113792325A (en) * | 2021-11-18 | 2021-12-14 | 浙江省邮电工程建设有限公司 | Autonomous management method of Internet of things center platform based on block chain |
CN115334320A (en) * | 2022-07-04 | 2022-11-11 | 泰州亚东广告传媒有限公司 | Cloud computing type uploaded data analysis system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140259170A1 (en) * | 2012-08-23 | 2014-09-11 | Foreground Security | Internet Security Cyber Threat Reporting System and Method |
CN108628994A (en) * | 2018-04-28 | 2018-10-09 | 广东亿迅科技有限公司 | A kind of public sentiment data processing system |
CN108921695A (en) * | 2018-06-22 | 2018-11-30 | 四川华翼共享区块链科技有限公司 | A kind of civil aviaton's customer information management system based on block chain |
CN109409926A (en) * | 2018-09-07 | 2019-03-01 | 安徽恒科信息技术有限公司 | A kind of business opportunity big data management system platform |
CN110675078A (en) * | 2019-09-30 | 2020-01-10 | 上海烨睿信息科技有限公司 | Marketing company risk diagnosis method, system, computer terminal and storage medium |
CN110879878A (en) * | 2019-11-23 | 2020-03-13 | 湖南湘江云计算中心有限责任公司 | Cloud computing-based big data analysis system and method |
-
2020
- 2020-04-02 CN CN202010252868.6A patent/CN111382213A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140259170A1 (en) * | 2012-08-23 | 2014-09-11 | Foreground Security | Internet Security Cyber Threat Reporting System and Method |
CN108628994A (en) * | 2018-04-28 | 2018-10-09 | 广东亿迅科技有限公司 | A kind of public sentiment data processing system |
CN108921695A (en) * | 2018-06-22 | 2018-11-30 | 四川华翼共享区块链科技有限公司 | A kind of civil aviaton's customer information management system based on block chain |
CN109409926A (en) * | 2018-09-07 | 2019-03-01 | 安徽恒科信息技术有限公司 | A kind of business opportunity big data management system platform |
CN110675078A (en) * | 2019-09-30 | 2020-01-10 | 上海烨睿信息科技有限公司 | Marketing company risk diagnosis method, system, computer terminal and storage medium |
CN110879878A (en) * | 2019-11-23 | 2020-03-13 | 湖南湘江云计算中心有限责任公司 | Cloud computing-based big data analysis system and method |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113159649A (en) * | 2021-01-19 | 2021-07-23 | 青岛达人孵化器有限公司 | Internet of things data processing resource reporting control method and cloud computing server |
CN113792325A (en) * | 2021-11-18 | 2021-12-14 | 浙江省邮电工程建设有限公司 | Autonomous management method of Internet of things center platform based on block chain |
CN115334320A (en) * | 2022-07-04 | 2022-11-11 | 泰州亚东广告传媒有限公司 | Cloud computing type uploaded data analysis system |
CN115334320B (en) * | 2022-07-04 | 2024-01-19 | 鹏博士大数据有限公司 | Cloud computing type uploading data analysis system |
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