CN111510489A - Internet of things data acquisition and analysis system based on artificial intelligence - Google Patents
Internet of things data acquisition and analysis system based on artificial intelligence Download PDFInfo
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- CN111510489A CN111510489A CN202010290403.XA CN202010290403A CN111510489A CN 111510489 A CN111510489 A CN 111510489A CN 202010290403 A CN202010290403 A CN 202010290403A CN 111510489 A CN111510489 A CN 111510489A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/02—Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/03—Protecting confidentiality, e.g. by encryption
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Abstract
An Internet of things data acquisition and analysis system based on artificial intelligence is characterized in that an Internet of things data acquisition module acquires data information of each monitoring point in a monitoring area, and the Internet of things data acquisition module is connected to an Internet of things data analysis module through an Internet of things data transmission module; the Internet of things data transmission module comprises an Internet of things wireless data transmission module and an Internet of things wired data transmission module; the Internet of things data analysis module adopts a preemptive priority scheduling algorithm to obtain real-time data transmitted by the Internet of things data transmission module and differential data transmitted by the Internet of things data transmission module; the data analysis module of the internet of things comprises a data preprocessor, a data secondary processor and a data encryption processor. The networking data acquisition module, the Internet of things data transmission module and the Internet of things data analysis module are matched with each other, so that the reliability and stability of data can be improved, the data transmission rate is improved, the transmission delay is reduced, and the data with abnormal difference data can be analyzed and processed in time.
Description
Technical Field
The invention relates to the field of computer internet of things, in particular to an artificial intelligence-based internet of things data acquisition and analysis system.
Background
The Internet of things is an important component of a new generation of information technology and is also an important development stage of the 'informatization' era. As the name implies, the Internet of things is the Internet with connected objects. This has two layers: firstly, the core and the foundation of the internet of things are still the internet, and the internet is an extended and expanded network on the basis of the internet; and secondly, the user side extends and expands to any article to perform information exchange and communication, namely, the article information. The internet of things is widely applied to network fusion through communication perception technologies such as intelligent perception, identification technology and pervasive computing, and is also called as the third wave of development of the world information industry after computers and the internet. The internet of things is an application expansion of the internet, and is not a network, but a business and an application. Therefore, the application innovation is the core of the development of the internet of things, and the innovation 2.0 taking the user experience as the core is the soul of the development of the internet of things.
Currently, the internet of things industry has already penetrated into extremely broad fields such as industrial production, smart home, universe development, ocean exploration, environmental protection, resource investigation, medical diagnosis, bioengineering, and even cultural relic protection, and the internet of things industry is entering a rapid development period. With the rapid development of the internet of things, more and more devices are accessed to the internet of things by utilizing the 2G/3G/4G/NB-IoT communication technology of the mobile operator, and the communication function between the remote server and the internet of things devices is realized through the data transmission terminal. Whereas big data refers to a collection of data that cannot be captured, managed and processed in an affordable time frame with conventional software tools.
Data analysis systems in the ordinary internet of things directly collect and analyze data, data volume processed by the internet of things presents massive characteristics, abnormal data are difficult to analyze and process in time, and therefore how to efficiently process the data and obtain useful information from the data is the key problem faced by the internet of things.
Secondly, the data analysis system has potential safety hazards, for example, when a lawbreaker invades, data of the whole system is easy to lose, a user is difficult to recover the data, or the operation of the system can be controlled or paralyzed by the lawbreaker.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an artificial intelligence-based internet of things data acquisition and analysis system.
The technical scheme adopted by the invention for solving the technical problems is as follows: an Internet of things data acquisition and analysis system based on artificial intelligence comprises an Internet of things data acquisition module, an Internet of things data transmission module and an Internet of things data analysis module.
The data acquisition module of the Internet of things is connected to the data analysis module of the Internet of things through the data transmission module of the Internet of things.
The data transmission module of the internet of things comprises a wireless data transmission module of the internet of things and a wired data transmission module of the internet of things.
The internet of things data analysis module adopts a preemptive priority scheduling algorithm to obtain real-time data transmitted by the internet of things data transmission module and difference data transmitted by the internet of things data transmission module.
The data analysis module of the internet of things comprises a data preprocessor, a data secondary processor and a data encryption processor.
The invention also has the following additional technical features:
the technical scheme of the invention is further specifically optimized as follows: the Internet of things data acquisition module scans monitoring areas by using distributed storage, searches for association rules obtained by the frequent item sets, scans and processes the frequent item sets in each monitoring area in parallel to obtain local frequent item sets in each monitoring area, and then counts and determines the frequent item sets by using an acquisition program to obtain data information of each monitoring point.
The technical scheme of the invention is further specifically optimized as follows: the internet of things data acquisition module comprises an acquisition unit, a control unit, a memory, a power supply unit and an NB-IoT unit; the acquisition unit is used for acquiring data information of monitoring points from a monitoring area; the NB-IoT unit is used for communication interaction; the memory is used for storing the data information of the monitoring points acquired by the acquisition unit; the control unit is electrically connected with each unit and is responsible for coordinating and controlling the normal work of each unit; the power supply unit is used for supplying power to each unit of the acquisition unit.
The technical scheme of the invention is further specifically optimized as follows: the acquisition unit also comprises a data classification unit and a data analysis unit; the data classification unit is used for classifying data information of a large number of monitoring points; and the data analysis unit is used for analyzing and/or counting the classified data information of the monitoring points.
The technical scheme of the invention is further specifically optimized as follows: the data transmission module of the Internet of things receives the data sent by the data acquisition module of the Internet of things through the network channel A, and the processed data are stored in a downlink buffer area; receiving data sent by the Internet of things data analysis module through a network channel B; and if the uplink buffer area has data, the data is processed and then sent to a remote server through a network channel A.
The technical scheme of the invention is further specifically optimized as follows: performing feature level fusion processing analysis on data information in the data preprocessor extract networking historical database module and received real-time data, and constructing a causal prediction model to obtain difference data; the data secondary processor is used for carrying out secondary analysis on the difference data obtained by the data preprocessor to obtain an optimal numerical value; the data encryption processor is used for encrypting the data collected or obtained in the working process of the data preprocessor and the data secondary processor.
The technical scheme of the invention is further specifically optimized as follows: the data encryption processor receives key information sent by the data preprocessor or the data secondary processor; the key information carries an identifier and first encryption information, and the identifier is used for representing a unique second encryption device; judging whether the local end is matched with a data preprocessor or a data secondary processor or not by using the identifier; extracting first encryption information when the first encryption information is matched with the data preprocessor or the data secondary processor; and encrypting the data to be encrypted based on the first encryption information to obtain encrypted data.
Compared with the prior art, the invention has the advantages that:
advantage (1): the invention has ingenious conception, and the networking data acquisition module, the Internet of things data transmission module and the Internet of things data analysis module are matched with each other, so that the reliability and stability of data can be improved, the data transmission rate is improved, the transmission delay is reduced, and the data with abnormal difference data can be analyzed and processed in time.
Advantage (2): the invention confirms the security of big data through the data encryption processor, prevents the data loss of the whole system caused by the invasion of lawless persons, and prevents the operation of the system from being controlled by the lawless persons. The big data is verified through the encrypted information, and the safety of the Internet of things is improved.
Advantage (3): according to the invention, the data of the equipment can be analyzed and processed through the data analysis module of the Internet of things, so that the equipment data is prevented from being in failure, and the data of the equipment can be stored through the data transmission module of the Internet of things, so that the equipment data is prevented from being lost.
Advantage (4): the data transmission module of the Internet of things is connected with the remote server through different network channels, so that data transmission is independent, and the influence on functions caused by mutual interference among data transmission is avoided.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of an internet of things data acquisition and analysis system based on artificial intelligence.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings, in order that the present disclosure may be more fully understood and fully conveyed to those skilled in the art. While the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the invention is not limited to the embodiments set forth herein.
An internet of things data acquisition and analysis system based on artificial intelligence is shown in fig. 1 and comprises an internet of things data acquisition module, an internet of things data transmission module and an internet of things data analysis module.
The data acquisition module of the Internet of things is connected to the data analysis module of the Internet of things through the data transmission module of the Internet of things.
The Internet of things data acquisition module scans monitoring areas by using distributed storage, searches for association rules obtained by the frequent item sets, scans and processes the frequent item sets in each monitoring area in parallel to obtain local frequent item sets in each monitoring area, and then counts and determines the frequent item sets by using an acquisition program to obtain data information of each monitoring point.
The internet of things data acquisition module comprises an acquisition unit, a control unit, a memory, a power supply unit and an NB-IoT unit.
The acquisition unit is used for acquiring data information of monitoring points from the monitoring area.
The NB-IoT units are used for communication interaction.
The memory is used for storing the data information of the monitoring points acquired by the acquisition unit.
The control unit is electrically connected with each unit and is responsible for coordinating and controlling the normal work of each unit.
The power supply unit is used for supplying power to each unit of the acquisition unit.
The Internet of things data transmission module comprises an Internet of things wireless data transmission module and an Internet of things wired data transmission module;
the acquisition unit also comprises a data classification unit and a data analysis unit; the data classification unit is used for classifying data information of a large number of monitoring points; and the data analysis unit is used for analyzing and/or counting the classified data information of the monitoring points.
The internet of things data analysis module adopts a preemptive priority scheduling algorithm to obtain real-time data transmitted by the internet of things data transmission module and difference data transmitted by the internet of things data transmission module.
The data analysis module of the internet of things comprises a data preprocessor, a data secondary processor and a data encryption processor.
The data transmission module of the Internet of things receives the data sent by the data acquisition module of the Internet of things through the network channel A, and the processed data are stored in a downlink buffer area; receiving data sent by the Internet of things data analysis module through a network channel B; and if the uplink buffer area has data, the data is processed and then sent to a remote server through a network channel A.
Performing feature level fusion processing analysis on data information in the data preprocessor extract networking historical database module and received real-time data, and constructing a causal prediction model to obtain difference data; the data secondary processor is used for carrying out secondary analysis on the difference data obtained by the data preprocessor to obtain an optimal numerical value; the data encryption processor is used for encrypting the data collected or obtained in the working process of the data preprocessor and the data secondary processor.
The data encryption processor receives key information sent by the data preprocessor or the data secondary processor; the key information carries an identifier and first encryption information, and the identifier is used for representing a unique second encryption device; judging whether the local end is matched with a data preprocessor or a data secondary processor or not by using the identifier; extracting first encryption information when the first encryption information is matched with the data preprocessor or the data secondary processor; and encrypting the data to be encrypted based on the first encryption information to obtain encrypted data.
Although the embodiments have been described, once the basic inventive concept is obtained, other variations and modifications of these embodiments can be made by those skilled in the art, so that the above embodiments are only examples of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes using the contents of the present specification and drawings, or any other related technical fields, which are directly or indirectly applied thereto, are included in the scope of the present invention.
Claims (7)
1. An artificial intelligence-based Internet of things data acquisition and analysis system is characterized by comprising an Internet of things data acquisition module, an Internet of things data transmission module and an Internet of things data analysis module;
the system comprises an Internet of things data acquisition module, an Internet of things data analysis module, a data transmission module and a data analysis module, wherein the Internet of things data acquisition module is used for acquiring data information of each monitoring point in a monitoring area and is connected to the Internet of things data analysis module through the Internet of things data transmission module;
the Internet of things data transmission module comprises an Internet of things wireless data transmission module and an Internet of things wired data transmission module;
the Internet of things data analysis module adopts a preemptive priority scheduling algorithm to obtain real-time data transmitted by the Internet of things data transmission module and differential data transmitted by the Internet of things data transmission module;
the data analysis module of the internet of things comprises a data preprocessor, a data secondary processor and a data encryption processor.
2. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the Internet of things data acquisition module scans monitoring areas by using distributed storage, searches for association rules obtained by the frequent item sets, scans and processes the frequent item sets in each monitoring area in parallel to obtain local frequent item sets in each monitoring area, and then counts and determines the frequent item sets by using an acquisition program to obtain data information of each monitoring point.
3. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the internet of things data acquisition module comprises an acquisition unit, a control unit, a memory, a power supply unit and an NB-IoT unit;
the acquisition unit is used for acquiring data information of monitoring points from a monitoring area;
the NB-IoT unit is used for communication interaction;
the memory is used for storing the data information of the monitoring points acquired by the acquisition unit;
the control unit is electrically connected with each unit and is responsible for coordinating and controlling the normal work of each unit;
the power supply unit is used for supplying power to all units of the acquisition unit.
4. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the acquisition unit also comprises a data classification unit and a data analysis unit; the data classification unit is used for classifying data information of a large number of monitoring points; and the data analysis unit is used for analyzing and/or counting the classified data information of the monitoring points.
5. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the data transmission module of the Internet of things receives the data sent by the data acquisition module of the Internet of things through the network channel A, and the processed data are stored in a downlink buffer area; receiving data sent by the Internet of things data analysis module through a network channel B; and if the uplink buffer area has data, the data is processed and then sent to a remote server through a network channel A.
6. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the data preprocessor extracts data information in the networked historical database module and the received real-time data to perform feature level fusion processing analysis, and constructs a causal prediction model to obtain difference data; the data secondary processor is used for carrying out secondary analysis on the difference data obtained by the data preprocessor to obtain an optimal numerical value; the data encryption processor is used for encrypting the data collected or obtained in the working process of the data preprocessor and the data secondary processor.
7. The system for collecting and analyzing data of the internet of things based on artificial intelligence according to claim 1, wherein: the data encryption processor receives key information sent by the data preprocessor or the data secondary processor; the key information carries an identifier and first encryption information, and the identifier is used for representing a unique second encryption device; judging whether the local end is matched with a data preprocessor or a data secondary processor or not by using the identifier; extracting first encryption information when the first encryption information is matched with the data preprocessor or the data secondary processor; and encrypting the data to be encrypted based on the first encryption information to obtain encrypted data.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112714190A (en) * | 2021-01-28 | 2021-04-27 | 百科荣创(山东)科技发展有限公司 | Internet of things communication system |
| CN113326156A (en) * | 2021-08-03 | 2021-08-31 | 深圳市风华叶茂园林建设有限公司 | Artificial intelligence-based Internet of things data resource acquisition and analysis method |
| CN113837009A (en) * | 2021-08-26 | 2021-12-24 | 张大艳 | Internet of things data acquisition and analysis system based on artificial intelligence |
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Application publication date: 20200807 |