CN117097592A - Edge computing gateway based on cloud computing - Google Patents

Edge computing gateway based on cloud computing Download PDF

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Publication number
CN117097592A
CN117097592A CN202311362667.1A CN202311362667A CN117097592A CN 117097592 A CN117097592 A CN 117097592A CN 202311362667 A CN202311362667 A CN 202311362667A CN 117097592 A CN117097592 A CN 117097592A
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data
processing
packet
nodes
unit
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CN117097592B (en
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吴少驹
晋圣慧
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Nanjing Kekongqi Intelligent Technology Co ltd
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Nanjing Kekongqi Intelligent Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00Data switching networks
    • H04L12/66Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0428Network 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
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/06Network architectures or network communication protocols for network security for supporting key management in a packet data network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/08Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
    • H04L9/0861Generation of secret information including derivation or calculation of cryptographic keys or passwords

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Hardware Design (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The application discloses an edge computing gateway based on cloud computing, which relates to the technical field of edge computing and solves the problem that the output task quantity of a cloud computing object and the processing quantity of the edge computing gateway are not subjected to combined analysis; and encrypting the transported data, hiding the set key into the corresponding data packet, and then determining the corresponding key from the data packet and decrypting the encrypted data by adopting the corresponding key when decrypting, so that the privacy in the data transmission process is improved.

Description

Edge computing gateway based on cloud computing
Technical Field
The application relates to the technical field of edge computing, in particular to an edge computing gateway based on cloud computing.
Background
Edge computing refers to providing nearest service nearby by adopting an open platform integrating network, computing, storage and application core capabilities on one side close to an object or data source; the application program is initiated at the edge side, and faster network service response is generated, so that the basic requirements of the industry in the aspects of real-time service, application intelligence, security, privacy protection and the like are met.
The application with the patent publication number of CN110430128B discloses an edge computing gateway, and a protocol acquisition module acquires real-time data information of various devices; the edge calculation module trains a neural network algorithm model by utilizing the acquired real-time data, inputs the acquired real-time data of a certain point of the welding robot into the algorithm model after training is finished, sequentially judges that the point is a normal point or an abnormal point, and generates prediction alarm information when the point is the abnormal point; when the gateway predicts the serious alarm information, the output control module outputs a control command to stop the machine; the UI display module displays the acquired real-time data and the generated prediction alarm information through a liquid crystal screen; the processing program management module is used for managing the processing program of the equipment, and copying the processing program from the equipment to the gateway or from the gateway to the equipment through an ftp protocol; the MQTT communication module adopts the MQTT protocol to communicate with the server, sends the acquired data and alarm information to the server, and receives the configuration instruction issued by the server.
When the cloud computing object adopts the edge computing gateway to process data, as the output task quantity of the cloud computing object and the processing quantity of the edge computing gateway are not combined and analyzed, whether the corresponding edge computing gateway meets the corresponding cloud computing object is judged, so that the normal operation of the edge computing is ensured, and the data is not high in privacy and is easy to steal in the subsequent transmission process.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides an edge computing gateway based on cloud computing, which solves the problem that the output task quantity of a cloud computing object and the processing quantity of the edge computing gateway are not subjected to combined analysis.
In order to achieve the above purpose, the application is realized by the following technical scheme: an edge computing gateway based on cloud computing, comprising:
the node data acquisition end confirms a corresponding cloud computing object, acquires data output rates of a plurality of output nodes of the cloud computing object in unit time, and transmits the acquired data output rates to the preliminary judgment end;
the preliminary judgment end confirms the total processing capacity of the edge computing gateway in unit time, and then judges whether the edge computing gateway is in a load condition in the processing process by combining the total output quantity of the corresponding cloud computing object, and the specific mode is as follows:
summing the data output rates of different output nodes in unit time from the collected data output rates, and confirming the merging parameters;
and then confirming the total processing capacity of the edge computing gateway in unit time, when the merging parameter is more than the total processing capacity, generating a periodic analysis signal, directly transmitting the periodic analysis signal into a periodic analysis unit in the data processing end, when the merging parameter is less than or equal to the total processing capacity, directly generating a processing signal, transmitting the processing signal into the data processing unit, and processing the data parameters output by each output node of the cloud computing object;
the data processing end comprises a period analysis unit, a data cleaning unit, a data processing unit and a reorganization unit;
the period analysis unit randomly confirms a group of to-be-stored nodes from a plurality of output nodes, binds data parameters generated by the to-be-stored nodes in a group of monitoring periods into a buffer processing packet, and transmits the buffer processing packet to the data cleaning unit, meanwhile, in a group of monitoring periods, the output conditions of other output nodes are analyzed, the to-be-stored nodes in the next period are confirmed, and the to-be-stored nodes in each period do not participate in the judgment processing of the next period:
by adopting the combination parameter-total processing amount = selection amount, randomly selecting an output node with the corresponding data output rate larger than the selection amount from a plurality of output nodes, and taking the output node as a node to be stored; defining a group of monitoring periods T, wherein T is a preset value, binding data parameters generated by nodes to be stored into a cache processing packet, transmitting the cache processing packet into a data cleaning unit, transmitting data parameters generated by other nodes except the nodes to be stored into a data processing unit, and processing different data parameters according to originally planned processing logic;
after the last monitoring period T is finished, confirming the data output rates generated by other nodes in the monitoring period T, and constructing different waveform trend graphs of other nodes according to the time trend; confirming two end points of different waveform trend graphs, making perpendicular lines perpendicular to X axis at the two end points to form waveform enclosed area graph, and confirming area parameters MJ of several area graphs i Wherein i represents different other nodes, and a group of nodes with the smallest area parameter value is selected as the node to be stored in the second period;
after all the nodes to be stored are processed, generating a plurality of cache processing packets, and after the cache processing packets are generated, performing periodic marking;
the data processing unit is used for processing the data parameters transmitted by the different output nodes, generating processing parameters of corresponding periods, marking the generated processing parameters, and transmitting the marked processing parameters into the reorganizing unit;
the data cleaning unit is used for receiving the marked cache processing packet, replacing internal repeated data, completing data cleaning work of the cache processing packet, planning the cleaned cache processing packet as a cleaned processing packet, and transmitting the cleaned processing packet into the reorganizing unit for reorganizing, wherein the specific mode is as follows:
confirming a plurality of repeated data appearing in the cache processing package, and marking the same repeated data by adopting the same repeated data, wherein the marking adopts a type of marking C k 1 Replacing the repeated data, wherein k represents different repeated data;
after the replacement processing of the first-class marks is finished, analyzing whether the continuous first-class marks exist in the cache processing packet again, and if more than three groups of first-class marks exist, directly adopting the second-class marks C t 2 Replacing continuously occurring first-class marks, generating a data matching table of the corresponding first-class marks and second-class marks after the marks are finished, facilitating filling repeated data into the cleared processing package according to the data matching table, obtaining an original cache processing package, and replacing the processing packageThe buffer processing package is assumed to be a cleaned processing package, and the cleaned processing package is transmitted to a reorganization unit for reorganization;
the reorganization unit receives the cleared processing packet and the marked processing parameters, fills the cleared processing packet to the specific position of the processing parameters according to the specific mark of the cleared processing packet, generates a reorganization data packet of the corresponding node, and directly transmits the reorganization data packet to the data transmission end.
Preferably, the method further comprises a data transmission end and an encryption end, wherein the data transmission end confirms the recombined data packets of different nodes, and after confirmation is finished, a post-positioned data packet corresponding to the recombined data packet is generated, and the post-positioned data packet internally stores other post-positioned data such as a corresponding network protocol, a terminal IP, a transmission mode and the like.
Preferably, the encryption end encrypts the recombined data packet in the data transmission end, randomly generates a four-word key, and hides the generated four-word key into the post-set data; the specific method is as follows:
randomly generating a group of four-word keys, extracting internal digital parameters, sorting the four groups of digital parameters according to an original sorting mode, performing subscript processing on specific numbers according to sorting names after sorting is finished, and assigning 2 to the lower right corner if the corresponding numbers are arranged as the second digits;
after the assignment is finished, sorting the four groups of numbers in a small-to-large mode to obtain a sorted number sequence;
the digits are hidden into the rear data packet in sequence according to a front-to-rear ordering mode, each group of digits are hidden into different data sections in the rear data packet, and if the sections are insufficient, redundant digits are hidden into the same data section.
The application provides an edge computing gateway based on cloud computing. Compared with the prior art, the method has the following beneficial effects:
according to the application, in the processing process of the edge computing task, whether the corresponding edge computing gateway can process in time is analyzed according to the specific parameters of the task, if the corresponding edge computing gateway cannot process in time, the corresponding processing amount is insufficient, and certain tasks are required to be used as cache tasks according to the specific parameters of the task to process the back end, so that the normal operation of the computing gateway is ensured, and the normal processing of the task is not influenced;
meanwhile, aiming at the cache task, the capacity reduction is preferentially carried out, and a two-degree capacity reduction mode is adopted, so that the capacity parameters of the cache task can be sufficiently reduced, and a better data cleaning effect is achieved;
and encrypting the transported data, hiding the set key into the corresponding data packet, and then determining the corresponding key from the data packet and decrypting the encrypted data by adopting the corresponding key when decrypting, so that the privacy in the data transmission process is improved.
Drawings
FIG. 1 is a schematic diagram of a principal frame of the present application;
FIG. 2 is a diagram of an internal framework of a data processing end according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Referring to fig. 1 and 2, the application provides an edge computing gateway based on cloud computing, which comprises a node data acquisition end, a preliminary determination end, a data processing end, a data transmission end and an encryption end, wherein the node data acquisition end is electrically connected with an input node of the preliminary determination end, the preliminary determination end is electrically connected with an input node of the data processing end, the data processing end is electrically connected with an input node of the data transmission end, and the encryption end is electrically connected with an input node of the transmission end;
the data processing end comprises a period analysis unit, a data cleaning unit, a data processing unit and a reorganization unit, wherein the period analysis unit is respectively and electrically connected with the input nodes of the data processing unit and the data cleaning unit, and the data processing unit and the data cleaning unit are electrically connected with the input nodes of the reorganization unit;
the node data acquisition end confirms a corresponding cloud computing object, acquires data output rates of a plurality of output nodes of the cloud computing object in unit time, transmits the acquired data output rates to the preliminary judgment end, and particularly, a plurality of data output nodes exist in the determined cloud computing object, the output nodes of the data acquisition end are connected with the input end of the edge computing gateway, and the node data acquisition end in the edge computing gateway needs to acquire the output rates of different output nodes in unit time and comprehensively analyzes the data output rates;
the preliminary judgment end confirms the total processing capacity of the edge computing gateway in unit time, and judges whether the edge computing gateway is in a load condition in the processing process by combining the total output capacity of the corresponding cloud computing object, wherein the specific mode for judging is as follows:
summing the data output rates of different output nodes in unit time from the collected data output rates, and confirming the merging parameters;
and then confirming the total processing capacity of the edge computing gateway in unit time, when the merging parameter is larger than the total processing capacity, generating a period analysis signal, directly transmitting the period analysis signal to a period analysis unit in the data processing end, when the merging parameter is smaller than the total processing capacity, directly generating a processing signal, transmitting the processing signal to the data processing unit, and processing data parameters output by each output node of the cloud computing object.
The period analysis unit randomly confirms a group of to-be-stored nodes from a plurality of output nodes, binds data parameters generated by the to-be-stored nodes in a group of monitoring periods into a buffer processing packet, and transmits the buffer processing packet to the data cleaning unit, meanwhile, in a group of monitoring periods, analyzes the output conditions of other output nodes, confirms the to-be-stored nodes of the next period, and the to-be-stored nodes of each period do not participate in the judgment processing of the next period, wherein the specific mode for confirming is as follows:
s1, adopting a combination parameter-total processing capacity=selection capacity, and randomly selecting an output node with a corresponding data output rate larger than the selection capacity from a plurality of output nodes, and taking the output node as a node to be stored;
s2, limiting a group of monitoring periods T, wherein T is a preset value, the T is generally 5min, data parameters generated by the nodes to be stored are bound into a cache processing packet and transmitted into a data cleaning unit, data parameters generated by other nodes except the nodes to be stored are transmitted into a data processing unit, and different data parameters are processed according to originally planned processing logic;
s3, after the last monitoring period T is finished, confirming the data output rates generated by other nodes in the monitoring period T, constructing different waveform trend graphs of other nodes according to the trend of time, specifically, constructing a two-dimensional coordinate system by taking time as an X axis and the data output rate as a Y axis, and constructing a corresponding waveform trend graph according to the change of the data output rate;
s4, confirming two end points of different waveform trend graphs, making vertical lines perpendicular to the X axis at the two end points to form waveform enclosed area graphs, and confirming area parameters MJ of a plurality of area graphs i Wherein i represents different other nodes, and a group of nodes with the smallest area parameter value is selected as the node to be stored in the second period;
s5, repeatedly executing the steps S2-S4 to generate a plurality of cache processing packets, and after the cache processing packets are generated, performing periodic marking, and subsequently reorganizing output parameters generated by the nodes according to the periodic marking to avoid data confusion.
The data processing unit processes the data parameters transmitted by different output nodes, generates processing parameters of corresponding periods, marks the generated processing parameters, and transmits the marked processing parameters into the reorganization unit;
the data cleaning unit is used for receiving the marked cache processing packet, replacing internal repeated data, completing data cleaning work of the cache processing packet, planning the cleaned cache processing packet as a cleaned processing packet, and transmitting the cleaned processing packet into the reorganizing unit for reorganizing, wherein the specific mode for cleaning the cache processing packet is as follows:
confirming a plurality of repeated data appearing in the cache processing package, and marking the same repeated data by adopting the same repeated data, wherein the marking adopts a type of marking C k 1 Replacing the repeated data, wherein k represents different repeated data, in a manner which can be understood as a first capacity reduction of the cache processing packet;
after the replacement processing of the first-class marks is finished, analyzing whether the continuous first-class marks exist in the cache processing packet again, and if more than three groups of first-class marks exist, directly adopting the second-class marks C t 2 And replacing the continuously-occurring first-class marks, generating a data matching table of the corresponding first-class marks and the second-class marks after the marks are finished, filling repeated data into the cleaned processing packet according to the data matching table conveniently to obtain an original cache processing packet, planning the post-cache processing packet subjected to replacement processing as the cleaned processing packet, and transmitting the cleaned processing packet into a reorganizing unit for reorganizing, wherein the mode can be understood as the second capacity reduction work of the cache processing packet, and carrying out capacity reduction on the cache processing packet again so as to fully reduce the whole capacity reduction effect of the corresponding cache processing packet.
The reorganization unit receives the cleared processing packet and the marked processing parameters, fills the cleared processing packet to the specific position of the processing parameters according to the specific mark of the cleared processing packet, generates a reorganization data packet of the corresponding node, and directly transmits the reorganization data packet to the data transmission end.
Example two
In the specific implementation process, compared with the first embodiment, the embodiment further has the technical characteristics that for encrypting the reconstructed data packet, the specific operation of the encryption is executed by the encryption end;
the data transmission end confirms the recombined data packets of different nodes and generates a post-positioned data packet corresponding to the recombined data packet after the confirmation is finished, wherein the post-positioned data packet internally stores other post-positioned data such as a corresponding network protocol, a terminal IP, a transmission mode and the like, and the post-positioned data is irrelevant data, is not important data, but recorded data or transmission data which are generated during normal transmission of the data and mainly plays a role of recording;
the encryption end encrypts the recombined data packet in the data transmission end, randomly generates a four-word key and hides the generated four-word key into the post-set data, wherein the specific mode for encryption is as follows:
randomly generating a group of four-word keys, extracting internal digital parameters, sorting the four groups of digital parameters according to an original sorting mode, performing subscript processing on specific numbers according to sorting names after sorting is finished, and if the corresponding numbers are arranged as second digits, assigning 2 to the lower right corner, wherein the specific numbers are as follows: assuming a set of four-word keys is 8274, the four ordered sets of digital parameters are: 8 1 、2 2 、7 3 、4 4
After the assignment is finished, the four groups of numbers are sequenced from small to large to obtain a sequenced number sequence, and the four-word key of the group is taken as an example, and the whole form of the number sequence is as follows: 2 2 、4 4 、7 3 、8 1
The method comprises the steps of sequentially hiding a digit sequence into a rear-end data packet in a front-back ordering mode, hiding each group of digits into different data sections in the rear-end data packet, hiding redundant digits into the same data section if the sections are insufficient, specifically, if four groups of digits exist, hiding the redundant digits into the last group of sections if the sections only exist in three groups, and hiding.
After the encryption end conceals the four-word key into the rear-end data packet, the data transmission end transmits the recombined data packet and the corresponding rear-end data packet (after encryption processing) into the corresponding receiving end.
In particular, the encryption mode is adopted, so that the safety of the data in the transmission process is ensured, compared with the original encryption mode, the specific parameters of the key are not clear at the receiving end, the corresponding key can be obtained through searching and combining, and then the encrypted data is decrypted through the key, so that the privacy of the data is improved.
Specifically, the decryption mode is as follows: and sequentially selecting digital parameters with subscripts from the appointed paragraphs in the post-arranged data packet, carrying out digital arrangement according to the corresponding subscript assignment after the selection is finished, thus obtaining an original four-word key as a whole, decrypting the re-arranged data packet according to the four-word key, receiving the content in the re-arranged data packet, carrying out clear data packet in the re-arranged data packet after receiving, and processing the clear data packet to normally use the re-arranged data packet.
Some of the data in the above formulas are numerical calculated by removing their dimensionality, and the contents not described in detail in the present specification are all well known in the prior art.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.

Claims (7)

1. An edge computing gateway based on cloud computing, comprising:
the node data acquisition end confirms a corresponding cloud computing object, acquires data output rates of a plurality of output nodes of the cloud computing object in unit time, and transmits the acquired data output rates to the preliminary judgment end;
the preliminary judgment end confirms the total processing capacity of the edge computing gateway in unit time, and judges whether the edge computing gateway is in a load condition in the processing process by combining the total output capacity of the corresponding cloud computing object;
the data processing end comprises a period analysis unit, a data cleaning unit, a data processing unit and a reorganization unit;
the period analysis unit randomly confirms a group of to-be-stored nodes from a plurality of output nodes, binds data parameters generated by the to-be-stored nodes in a group of monitoring periods into a buffer processing packet, and transmits the buffer processing packet to the data cleaning unit;
the data processing unit is used for processing the data parameters transmitted by the different output nodes, generating processing parameters of corresponding periods, marking the generated processing parameters, and transmitting the marked processing parameters into the reorganizing unit;
the data cleaning unit is used for receiving the marked cache processing packet, replacing internal repeated data, completing data cleaning work of the cache processing packet, planning the cleaned cache processing packet as a cleaned processing packet, and transmitting the cleaned processing packet into the reorganizing unit for reorganizing;
the reorganization unit receives the cleared processing packet and the marked processing parameters, fills the cleared processing packet to the specific position of the processing parameters according to the specific mark of the cleared processing packet, generates a reorganization data packet of the corresponding node, and directly transmits the reorganization data packet to the data transmission end.
2. The cloud computing-based edge computing gateway according to claim 1, wherein the preliminary determination terminal sums the data output rates of different output nodes per unit time from among the collected data output rates to confirm the merging parameter;
and then confirming the total processing capacity of the edge computing gateway in unit time, generating a period analysis signal when the merging parameter is larger than the total processing capacity, directly transmitting the period analysis signal into a period analysis unit in the data processing end, directly generating a processing signal when the merging parameter is smaller than or equal to the total processing capacity, transmitting the processing signal into the data processing unit, and processing the data parameters output by each output node of the cloud computing object.
3. The cloud computing-based edge computing gateway according to claim 2, wherein the period analysis unit randomly selects output nodes with a data output rate greater than a selected amount from a plurality of output nodes by adopting a combination parameter-total throughput = selected amount, and uses the output nodes as the nodes to be stored; defining a group of monitoring periods T, wherein T is a preset value, binding data parameters generated by nodes to be stored into a cache processing packet, transmitting the cache processing packet into a data cleaning unit, transmitting data parameters generated by other nodes except the nodes to be stored into a data processing unit, and processing different data parameters according to originally planned processing logic;
after the last monitoring period T is finished, confirming the data output rates generated by other nodes in the monitoring period T, and constructing different waveform trend graphs of other nodes according to the time trend; confirming two end points of different waveform trend graphs, making perpendicular lines perpendicular to X axis at the two end points to form waveform enclosed area graph, and confirming area parameters MJ of several area graphs i Wherein i represents different other nodes, and a group of nodes with the smallest area parameter value is selected as the node to be stored in the second period;
after all the nodes to be stored are processed, a plurality of cache processing packets are generated, and after the cache processing packets are generated, periodic marking is carried out.
4. The cloud computing-based edge computing gateway as recited in claim 1, wherein said data cleansing unit validates a plurality of duplicate data present in a cache processing packet and marks the same duplicate data with the same duplicate data, this timeThe mark adopts a type of mark C k 1 Replacing the repeated data, wherein k represents different repeated data;
after the replacement processing of the first-class marks is finished, analyzing whether the continuous first-class marks exist in the cache processing packet again, and if more than three groups of first-class marks exist, directly adopting the second-class marks C t 2 And replacing the continuously-occurring first-class marks, generating a data matching table of the corresponding first-class marks and the second-class marks after the marks are finished, filling repeated data into the cleaned processing packet according to the data matching table conveniently to obtain an original cache processing packet, planning the post-cache processing packet subjected to replacement processing as the cleaned processing packet, and transmitting the cleaned processing packet into a reorganizing unit for reorganizing.
5. The cloud computing-based edge computing gateway according to claim 1, further comprising a data transmission end and an encryption end, wherein the data transmission end confirms the reorganized data packets of different nodes, and generates a post-packet corresponding to the reorganized data packet after confirmation is completed, and the post-packet stores a corresponding network protocol, a terminal IP, a transmission mode and other post-set data.
6. The cloud computing-based edge computing gateway according to claim 5, wherein the encryption end encrypts the reassembled data packet in the data transmission end, randomly generates a four-word key, and hides the generated four-word key into the post-set data.
7. The cloud computing-based edge computing gateway according to claim 6, wherein the encryption end randomly generates a group of four-word keys, extracts internal digital parameters, sorts the four groups of digital parameters according to an original sorting mode, performs subscript processing on specific numbers according to sorting names after sorting is completed, and assigns 2 to the lower right corner if the corresponding numbers are arranged as the second digits;
after the assignment is finished, sorting the four groups of numbers in a small-to-large mode to obtain a sorted number sequence;
the digits are hidden into the rear data packet in sequence according to a front-to-rear ordering mode, each group of digits are hidden into different data sections in the rear data packet, and if the sections are insufficient, redundant digits are hidden into the same data section.
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