CN112259249A - Cross-domain flow identification and epidemic prevention system and method based on Internet of things and block chain - Google Patents
Cross-domain flow identification and epidemic prevention system and method based on Internet of things and block chain Download PDFInfo
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- CN112259249A CN112259249A CN202011174853.9A CN202011174853A CN112259249A CN 112259249 A CN112259249 A CN 112259249A CN 202011174853 A CN202011174853 A CN 202011174853A CN 112259249 A CN112259249 A CN 112259249A
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Abstract
The utility model provides a cross-domain flow distinguishing and epidemic preventing system and method based on the Internet of things and a block chain, which comprises the following steps: the system comprises an Internet of things system, a data processing platform, a monitoring platform and a blockchain system; the Internet of things system is configured to acquire epidemic situation related data and transmit the epidemic situation related data to the data processing platform; the data processing platform is configured to process data in the Internet of things system and then enter the blockchain system through the uplink channel; the block chain system is internally configured with unit information chains in corresponding areas, the block chain system is stored in a consensus network layer, a plurality of hierarchical number of consensus channels are arranged on the consensus network layer, the consensus channels correspond to matched identity personnel, and the block chain system is externally connected with a monitoring platform; the monitoring platform is configured to be connected to the data processing platform and the Internet of things system through a feedback line and is used for early warning the data processing platform and prompting corresponding equipment in the Internet of things system respectively.
Description
Technical Field
The disclosure belongs to the technical field of informatization, and particularly relates to a cross-domain flow identification and analysis epidemic prevention system and method based on the Internet of things and a block chain.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
The technical means such as application of big data and the like are important technical means for enhancing epidemic situation tracing and monitoring, the investigation of the epidemic situation caused by viruses mainly depends on manual investigation at present, the investigation is not comprehensive enough, the epidemic situation is easy to spread, and a large mining, promotion and united space is still left in the aspects of application and development of intelligent technologies represented by big data, block chains, cloud computing, artificial intelligence and the like.
Therefore, how to realize timely updating of personnel information and information monitoring is a technical problem mainly solved by the application.
Disclosure of Invention
In order to overcome the defects of the prior art, the cross-domain flow distinguishing and epidemic preventing system based on the internet of things and the block chain is provided, a complete internet of things linkage mechanism is formed, and information monitoring is realized.
In order to achieve the above object, one or more embodiments of the present disclosure provide the following technical solutions:
in a first aspect, a cross-domain flow distinguishing and epidemic preventing system based on the internet of things and a block chain is disclosed, which comprises:
the system comprises an Internet of things system, a data processing platform, a monitoring platform and a blockchain system;
the Internet of things system is configured to acquire epidemic situation related data and transmit the epidemic situation related data to the data processing platform;
the data processing platform is configured to process data in the Internet of things system and then enter a blockchain system through an uplink channel;
the block chain system is internally configured with unit information chains in corresponding areas, is stored in a consensus network layer, is provided with a plurality of hierarchical number consensus channels corresponding to matched identity personnel, and is externally connected with a monitoring platform;
the monitoring platform is connected to the data processing platform and the Internet of things system through a feedback line and is used for early warning the data processing platform and prompting corresponding equipment in the Internet of things system.
According to a further technical scheme, the internet of things system acquires epidemic situation related data including communication information, reporting information, consumption information and treatment information.
According to the further technical scheme, an internet of things serial chain and an internet of things parallel chain are formed inside the internet of things system, an original internet of things of a data source is formed, data inside the internet of things system are transmitted to a network platform, and the network platform uploads the data inside the internet of things system to a data processing platform through a transmission channel.
According to the further technical scheme, when early warning is carried out, the prompt of the Internet of things system is converted from a benign output signal to a dangerous output signal.
According to the further technical scheme, the outside of the block chain system is connected with a monitoring platform through a connecting channel, an intelligent contract is arranged on the connecting channel, a preset value connected with the intelligent contract is arranged in the form of a coding program, the related content of the preset value is arranged according to key information, the preset value is identified and compared with the block chain system, and a corresponding signal is output to the monitoring platform.
According to a further technical scheme, when the preset value is different when compared with information on a unit information chain in the block chain system through the intelligent contract, NO is output in an intelligent contract mode, and corresponding monitoring platforms output alarming and prompting signals.
According to the further technical scheme, a unit information chain in the block chain system is formed by block linkage of a plurality of block data, the block data comprises internal blocks and internal connections, the internal blocks store the physical connection information streams in a classified mode, and the internal connections connect various types of information in series;
according to the technical scheme, in the thing networking system, an internet of things information flow is transmitted to block data in an uplink file form, an uplink file is in an IPFS file format, the block data takes a set time period as a storage unit, when people flow across domains, a data processing platform can cut off the block data of a unit information chain, a cut-off position is a broken chain node, an inefficient periodic chain is arranged before the broken chain node, an effective periodic chain is arranged after the broken chain node, namely the data needing to be extracted and processed is convenient for information tracing.
In a second aspect, an information processing method of a cross-domain flow distinguishing and epidemic preventing system based on the internet of things and a block chain is disclosed, which comprises the following steps:
when a flow risk person in a high risk area enters a low risk area through a cross-domain flow line, wherein the cross-domain flow line is in an invisible state and is not easy to be detected by signals, the flow risk person enters a low risk area and drives an Internet of things system and generates corresponding data, information on a unit information chain corresponding to the person in a block chain system is specifically changed, the value of the specific change is compared with a preset value, an output signal is changed to a monitoring platform through an intelligent contract and is transmitted to a data processing platform and the Internet of things system through a feedback line, and finally a benign output signal in the Internet of things system is converted into a dangerous output signal to prompt each corresponding device.
According to the further technical scheme, an interaction channel is arranged between the data processing platform of the low risk area and the data processing platform of the high risk area.
The above one or more technical solutions have the following beneficial effects:
the technical scheme of the invention establishes the mesh serial-parallel information flow channel which takes the Internet of things as a basic module, has excellent traceability and ensures the full coverage and full connectivity of various Internet of things information among unit individuals in initial formation, process derivation and terminal splicing.
According to the technical scheme, the distributed block chains are used as data core media, an analysis processing path in the forms of chaining, periodic storage and intelligent contract selection of data organization of the Internet of things system is established, a centralized alliance consensus network layer is built, a closed-loop feedback system with dynamic detection and intelligent analysis is formed, and the contact, the efficiency, the timeliness and the reliability of epidemic situation data processing are guaranteed.
Advantages of additional aspects 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
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a system diagram of an embodiment of the present disclosure;
FIG. 2 is a consensus mechanical diagram of a system of an embodiment of the present disclosure;
FIG. 3 is a chain of information diagram of an embodiment of the present disclosure;
FIG. 4 is a block chain schematic diagram of a system of an embodiment of the present disclosure;
fig. 5 is an internet of things system diagram of a system of an embodiment of the present disclosure;
FIG. 6 is a periodic block chain schematic of a system of an embodiment of the present disclosure;
FIG. 7 is a schematic diagram of an Internet of things information flow processing system of an embodiment of the present disclosure;
in the figure, 1, an internet of things system, 1-1, an internet of things serial chain, 1-2, a network platform, 1-3, an internet of things parallel connection, 2, a low risk area, 3, a high risk area, 4, a mobile risk person, 5, a cross-domain flow route, 6, a data processing platform, 7, a monitoring platform, 8, an intelligent contract, 9, a benign output signal, 10, a block chain system, 10-1, an internal block, 10-2, an internal connection, 10-3, a block link, 10-4, an uplink file, 10-5, an internet of things information flow, 11, block data, 12, an interaction channel, 13, a dangerous output signal, 14, a feedback line, 15, an uplink channel, 16, a transmission channel, 17, a preset value, 18, an identity person, 19, a common identification network layer, 20, a unit information chain, 21, a main chain, 22, a side chain, 23. broken link node, 24. low efficiency cycle chain, 25. effective cycle chain, 26. retrospective chain, 27. suspect.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Example one
As shown in fig. 1, the embodiment discloses a cross-domain flow analysis epidemic prevention system based on the internet of things and a blockchain, which is composed of an internet of things system 1, a data processing platform 6, a monitoring platform 7 and a blockchain system 10, wherein data covers a low risk area 2 and a high risk area 3.
As shown in fig. 5, data content of the internet of things system includes communication information, report information, consumption information, visit information, and the like, an individual unit is taken as a main body, an internet of things serial chain 1-1 and an internet of things parallel chain 1-3 are formed inside the internet of things system to form an original internet of things of a data source, data inside the internet of things system is transmitted to a network platform in a wireless and wired manner, the network platform 1-2 uploads internal data of the internet of things system to a data processing platform through a transmission channel 16, and the data processing platform processes the data in the internet of things system, including analysis and type conversion of the data content, and then enters a block chain system through an uplink channel 15.
As shown in fig. 2, 3 and 4, the specific processing manner of the data is as follows: the block chain system comprises unit information chains in corresponding areas, the block chain system is stored in a consensus network layer, a plurality of hierarchical quantitative consensus channels are arranged on a consensus network layer 19 and correspond to matched identity personnel 18, a monitoring platform is connected outside the block chain system, intelligent contracts 8 are arranged on the connection channels, the monitoring platform is connected to a data processing platform and an internet of things system through feedback lines and respectively used for early warning of the data processing platform and prompting of corresponding equipment in the internet of things system, the prompting of the internet of things system is converted from benign output signals 9 into dangerous output signals, for example, health codes of the mobile phone payment system are converted from green codes to red codes, the intelligent contracts are provided with preset values 17 connected with the intelligent contracts in a coding program mode, the preset values are set according to key information, and the preset values are identified with each unit information chain in the block chain system, Comparing and outputting corresponding signals to a monitoring platform, for example, when the preset value is compared with the information on the unit information chain 20 in the block chain system through the intelligent contract, the difference is generated, then NO is output through an intelligent contract mode, and the corresponding monitoring platform outputs alarm and prompt signals.
When a flow risk person 4 in a high risk area enters a low risk area through a cross-domain flow line 5, wherein the cross-domain flow line is in an invisible state and is not easy to be detected by signals, the flow risk person enters an internet of things system of the low risk area and generates corresponding data, information on a unit information chain corresponding to an individual in a block chain system is specifically changed, the value of the specific change is compared with a preset value, an output signal is changed to a monitoring platform through an intelligent contract and is transmitted to a data processing platform and the internet of things system through a feedback line 14, finally a benign output signal in the internet of things system is converted into a dangerous output signal 13, prompting is carried out on each corresponding device, and an interaction channel 12 is arranged between the data processing platform of the low risk area and the data processing platform of the high risk area.
As shown in fig. 6, a unit information chain in a blockchain system is formed by a plurality of block data through a blockchain 10-3, the block data includes an inner block 10-1 and an inner connection 10-2, the inner block stores an internet of things information flow 10-5 in a classified manner, the inner connection connects various types of information in series, the internet of things information flow in the internet of things system is transmitted to the block data in the form of an upper chain file 10-4, the upper chain file is in an IPFS file format, the block data takes a set time period as a storage unit, when people flow across domains, a data processing platform cuts off the block data 11 of the unit information chain, the cutting position is a broken chain node 23, a low-efficiency periodic chain 24 is arranged before the broken chain node, a valid periodic chain 25 is arranged after the broken chain node, that is data to be extracted and processed, therefore, the trace and investigation are convenient, and the data processing efficiency is improved.
As shown in fig. 7, when an emergency situation occurs, the E number flowing risk person in the high risk area comes to the low risk area through a "hidden" circulation channel and forms a local information connection with the B number healthy person in the area, so that the B number person becomes a potential suspicious person 27 and is in a flowing state, and when a feedback early warning mechanism formed by an intelligent contract is started, a complete and definite person-object mixed backward-pushing type investigation chain can be formed, that is, a tracing chain 26 and a rattan-following touching chain are formed, a suspicious target is controlled at the shortest time, and a complete internet of things linkage mechanism is formed under the intervention of a complete and organized physical and physical linkage medium.
In order to better improve the data processing efficiency and accuracy, the block data on the unit information chain comprises a main chain 21 and a side chain 22, wherein the main chain relates to key information (such as position information in a cross-domain personnel flow process), the side chain relates to relevant information related to the main chain, and the key information on the main chain is obtained through screening by the data processing platform.
The embodiment of the disclosure establishes the mesh-shaped serial-parallel information flow channel based on the internet of things, has excellent traceability, and ensures the full coverage and full connectivity of various internet of things information among units in initial formation, process derivation and terminal connection.
The embodiment of the disclosure uses a sectional block chain as a data core medium, establishes an analysis processing path in the form of cochain, periodic storage and intelligent contract selection of data organization of the internet of things system, and establishes a centralized alliance consensus network layer to form a closed loop feedback system with dynamic detection and intelligent analysis, thereby ensuring the contact, high efficiency, timeliness and reliability of epidemic situation data processing.
Example two
The purpose of this embodiment is to provide an information processing method of a cross-domain flow identification and epidemic prevention system based on the internet of things and a block chain, including:
when a flow risk person in a high risk area enters a low risk area through a cross-domain flow line, wherein the cross-domain flow line is in an invisible state and is not easy to be detected by signals, the flow risk person enters a low risk area and drives an Internet of things system and generates corresponding data, information on a unit information chain corresponding to the person in a block chain system is specifically changed, the value of the specific change is compared with a preset value, an output signal is changed to a monitoring platform through an intelligent contract and is transmitted to a data processing platform and the Internet of things system through a feedback line, and finally a benign output signal in the Internet of things system is converted into a dangerous output signal to prompt each corresponding device.
Those skilled in the art will appreciate that the modules or steps of the present disclosure described above can be implemented using general purpose computing devices, or alternatively, they can be implemented using program code executable by computing devices, such that they are stored in a storage device and executed by the computing devices, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present disclosure is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.
Claims (10)
1. Cross-domain flow distinguishing and epidemic preventing system based on Internet of things and block chains is characterized by comprising the following components:
the system comprises an Internet of things system, a data processing platform, a monitoring platform and a blockchain system;
the Internet of things system is configured to acquire epidemic situation related data and transmit the epidemic situation related data to the data processing platform;
the data processing platform is configured to process data in the Internet of things system and then enter a blockchain system through an uplink channel;
the block chain system is internally configured with unit information chains in corresponding areas, the block chain system is stored in a consensus network layer, a plurality of hierarchical number of consensus channels are arranged on the consensus network layer, the consensus channels correspond to matched identity personnel, and the block chain system is externally connected with a monitoring platform;
the monitoring platform is connected to the data processing platform and the Internet of things system through a feedback line and is used for early warning the data processing platform and prompting corresponding equipment in the Internet of things system.
2. The system according to claim 1, wherein the system of internet of things for acquiring epidemic situation related data comprises communication information, report information, consumption information and treatment information.
3. The cross-domain flow distinguishing and analyzing epidemic prevention system based on the internet of things and the block chain as claimed in claim 1, wherein an original gateway network of a data source is formed by forming an internet of things serial chain and an internet of things parallel chain inside the internet of things system, data inside the internet of things system is transmitted to a network platform, and the network platform uploads the data inside the internet of things system to a data processing platform through a transmission channel.
4. The system of claim 1, wherein the prompt of the system of the internet of things is converted from a benign output signal to a dangerous output signal during early warning.
5. The cross-domain flow distinguishing and analyzing epidemic prevention system based on the internet of things and the blockchain as claimed in claim 1, wherein the blockchain system is externally connected with the monitoring platform through a connecting channel, an intelligent contract is arranged on the connecting channel, the intelligent contract is provided with a preset value connected with the intelligent contract in a coding program mode, the related content of the preset value is set according to key information, and the preset value is identified and compared with the blockchain system and outputs a corresponding signal to the monitoring platform.
6. The cross-domain flow distinguishing and epidemic preventing system based on the internet of things and the blockchain as claimed in claim 5, wherein when the preset value is different from the information on the unit information chain in the blockchain system through the intelligent contract, NO is output through the intelligent contract mode, and the corresponding monitoring platform outputs an alarm and a prompt signal.
7. The system according to claim 1, wherein the unit information chain in the blockchain system is formed by linking a plurality of pieces of blockdata through blocks, the pieces of blockdata include internal blocks and internal connections, the internal blocks store the flows of the things-related information in a classified manner, and the internal connections connect the pieces of information in series.
8. The cross-domain flow distinguishing and epidemic preventing system based on the internet of things and the block chain as claimed in claim 1 or 7, wherein an internet of things information flow in the internet of things system is transmitted to the block data in the form of an uplink file, the uplink file is in an IPFS file format, the block data takes a set time period as a storage unit, when people flow in a cross-domain mode, the data processing platform cuts off the block data of the unit information chain, the cut-off position is a broken link node, an inefficient periodic chain is arranged before the broken link node, an effective periodic chain is arranged after the broken link node, namely, data needing to be extracted and processed, and information tracing is facilitated.
9. The information processing method of the cross-domain flow distinguishing and epidemic preventing system based on the Internet of things and the block chain is characterized by comprising the following steps:
when a flow risk person in a high risk area enters a low risk area through a cross-domain flow line, the cross-domain flow line is in an invisible state and is not easy to detect by signals, the flow risk person enters a low risk area and drives an Internet of things system and generates corresponding data, information on a unit information chain corresponding to the person in a block chain system is specifically changed, the value of the specific change is compared with a preset value, an output signal is changed to a monitoring platform through an intelligent contract and is transmitted to a data processing platform and the Internet of things system through a feedback line, and finally a benign output signal in the Internet of things system is converted into a dangerous output signal to prompt each corresponding device.
10. The information processing method of the cross-domain flow analysis epidemic prevention system based on the internet of things and the block chain as claimed in claim 9, wherein an interaction channel is arranged between the data processing platform of the low risk area and the data processing platform of the high risk area.
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