CN117336767A - Method for determining abnormal message in 5G MIMO frequency-shifting two-way system - Google Patents
Method for determining abnormal message in 5G MIMO frequency-shifting two-way system Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a method for determining abnormal messages in a 5G MIMO frequency-shifting double-path system, which relates to the technical field of 5G MIMO frequency shifting, and comprises the following steps: analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: in the process of interaction between each site device and the OMC center through messages, when the running state of any site device is abnormal, abnormal data is determined from the monitoring coded data generated in the process of interaction between the site device and the OMC center, and the messages corresponding to the abnormal data are determined to be abnormal messages.
Description
Technical Field
The invention relates to the technical field of 5G MIMO frequency shifting, in particular to a method for determining abnormal messages in a 5G MIMO frequency shifting double-channel system.
Background
At present, when the equipment for information interaction is abnormal, monitoring coded data generated in the interaction process can be extracted, and abnormal data, namely abnormal messages, are determined in a manual analysis mode, so that the problems of low intelligent degree and low efficiency exist in the process.
Disclosure of Invention
The invention aims to solve the technical problems of the prior art, and provides the following technical scheme specifically as follows:
1) In a first aspect, the present invention provides a method for determining an abnormal packet in a 5G MIMO frequency-shift dual-path system, and the specific technical scheme is as follows:
analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
when the running state of any site equipment is abnormal, abnormal data is determined from monitoring coded data generated in the process of interaction between the site equipment and the OMC center, and a message corresponding to the abnormal data is determined to be an abnormal message.
The method for determining the abnormal message in the 5G MIMO frequency-shifting two-way system has the following beneficial effects:
abnormal messages can be determined efficiently and accurately, and the degree of intellectualization is improved.
Based on the scheme, the method for determining the abnormal message in the 5G MIMO frequency-shifting two-way system can be improved as follows.
Further, when the operation state of any site device is abnormal, determining abnormal data from monitoring coded data generated in the process of interaction between the site device and the OMC center, including:
when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and the OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
Further, the method further comprises the following steps: and classifying the preset monitoring coded data to obtain the monitoring coded data generated in the process of interaction between each site device and the OMC center.
Further, the station equipment in the 5G MIMO frequency-shifting two-way system comprises a near-end machine and a far-end machine.
2) In a second aspect, the present invention further provides a system for determining abnormal messages in a 5G MIMO frequency-shifting dual-path system, and the specific technical scheme is as follows:
the system comprises an operation state analysis module and a determination module;
the running state analysis module is used for: analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
the determining module is used for: when the running state of any site equipment is abnormal, abnormal data is determined from monitoring coded data generated in the process of interaction between the site equipment and the OMC center, and a message corresponding to the abnormal data is determined to be an abnormal message.
Based on the scheme, the system for determining the abnormal message in the 5G MIMO frequency-shifting two-way system can be improved as follows.
Further, the determining module determines the abnormal data process, including:
when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and the OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
Further, the system also comprises a classification module, wherein the classification module is used for: and classifying the preset monitoring coded data to obtain the monitoring coded data generated in the process of interaction between each site device and the OMC center.
Further, the station equipment in the 5G MIMO frequency-shifting two-way system comprises a near-end machine and a far-end machine.
3) In a third aspect, the present invention further provides a computer device, where the computer device includes a processor, the processor is coupled to a memory, and at least one computer program is stored in the memory, where the at least one computer program is loaded and executed by the processor, so that the computer device implements any one of the methods for determining an abnormal message in the 5G MIMO frequency-shifting two-way system.
4) In a fourth aspect, the present invention further provides a computer readable storage medium, where at least one computer program is stored, where the at least one computer program is loaded and executed by a processor, so that a computer implements any one of the above methods for determining an abnormal message in a 5G MIMO frequency-shifting dual-path system.
It should be noted that, the technical solutions of the second aspect to the fourth aspect and the corresponding possible implementation manners of the present invention may refer to the technical effects of the first aspect and the corresponding possible implementation manners of the first aspect, which are not described herein.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings in which:
fig. 1 is a flow chart of a method for determining an abnormal message in a 5G MIMO frequency-shifting dual-path system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for determining abnormal messages in a 5G MIMO frequency-shifting dual-path system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
As shown in fig. 1, a method for determining an abnormal message in a 5G MIMO frequency-shifting dual-path system according to an embodiment of the present invention includes the following steps:
s1, analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
in the invention, a monitoring center of a MIMO single cable coverage system of a digital cellular mobile communication network is used as an OMC center (Operation and Maintenance Center, OMC for short, chinese name: operation maintenance center).
The following explanation is made on a 5G MIMO frequency-shifting two-way system:
the 5G MIMO frequency-shifting two-way system is a frequency-shifting repeater system, and the equipment in the 5G MIMO frequency-shifting two-way system comprises: at least one near-end machine, at least one far-end machine, and apparatus for constructing a communication link, the apparatus for constructing a communication link comprising: the working principle of the power divider and coupler 5G MIMO frequency-shifting two-way system is as follows:
the near-end machine receives and couples the output signals of the radio frequency base station, then frequency shifts the coupled signals, then transmits the frequency shifted signals to the far-end machine by using the radio frequency cable, and the far-end machine frequency shifts the received signals again and amplifies the signals and transmits the amplified signals, so that network signal coverage is realized, each near-end machine can be connected with a plurality of far-end machines, for example, each near-end machine is connected with 1-64 far-end machines, and the number of the far-end machines connected with each near-end machine can be set according to actual conditions.
The explanation of the remote and near-end machines is as follows:
1) Remote machine (Remote Radio Unit, simply called RRU): is usually placed at a high altitude or far away from a base station central processing unit (Centralized Processing Unit, CPU for short) to shorten the transmission distance, reduce the transmission loss and improve the system performance.
2) Near-end machine (Base Band Unit, abbreviated as BBU): the Central Processing Unit (CPU) in the base station is mainly responsible for the tasks of data receiving, demodulating, encoding, modulating, transmitting and the like, has the function of realizing software defined radio (Software Defined Radio, SDR for short) and ensures that the wireless communication has higher flexibility and expandability.
The station equipment in the 5G MIMO frequency-shifting two-way system comprises: a near-end machine and a far-end machine in a 5G MIMO frequency-shifting double-path system.
Because the preset monitoring code data are in the same file, the monitoring code data generated in the process of interaction between each site device and the OMC center need to be obtained in advance, and the specific implementation process is as follows:
s01, classifying preset monitoring coded data to obtain monitoring coded data generated in the process of interaction between each site device and an OMC center, wherein the monitoring coded data specifically comprises the following steps:
s010, judging whether each piece of data in the preset monitoring coded data can be normally analyzed, wherein the data is divided into normal data and abnormal data, and each piece of data in the preset monitoring coded data comprises: the method comprises the steps of providing a message with a question-answer information (such as 7E030121331200000480800101FF04410106F01B 7E), a message with a start flag (such as 0x 7E), a message with an AP protocol type (such as 0x03 AP: C protocol), a message with a bearer protocol type (such as 0x01 VP: A), a device site number (such as 0x 00123321), a device number (such as 0x 00), a message with a communication end identification number (such as 0x 8004), a message with a VP layer interactive flag (such as 0x 80), a message with a MCP layer protocol flag (such as 0x 01), a message with a response flag (such as 0 xFF), a message with a monitoring data (such as 0x0141 (such as 0x04 byte number, 0x0141 (reporting) identification code, 0x06 value (registration report) "), a message CRC check unit (such as 0x1BF 0), a message with a reply flag (such as 0x 7E), a message with a reply end flag (such as 0x 35E), a message with a reply end (such as 0x 35E), a reply layer (such as 0x 35E), a message with a reply layer interaction flag (such as 0x 00), a reply layer (such as 0x 00), a message with a reply layer (such as 0x FF), a reply flag (such as 0x04, a reply flag), a message with a reply flag (such as 0x0141 (such as 0x0141 (reporting) identification number), a message) monitoring data (such as 0x06 (such as 0x 0) The monitoring data of the reply message (such as ' 04410106 0x04 bytes, 0x0141 (reporting) ' identification code, 0x06 value (registration reporting) '), the CRC check unit of the reply message (such as 0 xBCDE) and the end mark of the reply message (such as 0x 7E).
S011, after analyzing normal data, obtaining a device site number and a device number corresponding to each normal data, wherein the device site number is a number preset for each site device, and the device number is: the number set for the equipment in the 5G MIMO frequency-shifting two-way system is preset.
S012, according to all normal data corresponding to any equipment site number, obtaining monitoring coding data generated in the process of interaction between each site equipment and the OMC center.
The process of determining the running state of any site device comprises the following steps:
s10, determining whether at least one of question-answer abnormality, question-answer interaction logic abnormality, monitoring data abnormality and monitoring data logic abnormality exists in monitoring coded data generated in the process of interaction between any site equipment and an OMC center by using a data accuracy judging model, if yes, determining that the running state of the site equipment is abnormal, and if not, determining that the running state of the site equipment is normal, wherein:
1) Question-answer abnormality:
(1) one-to-many answers occur under one-to-one logic: for example, the OMC center requests one time data from the site device, and the site device returns data to the OMC center multiple times.
(2) The multi-questions and multi-answers occur under the logic of multi-questions and multi-answers: for example, the OMC center requests data from the site device multiple times and the site device returns data to the OMC center multiple times.
(3) Unanswered: for example, the OMC center requests data from the site device, and the site device does not return data to the OMC center.
2) Question-answer interaction logic exception:
for example, the reporting logic of the station device is: the station equipment sends the start report data to the OMC center, and the OMC center replies to the station equipment; if the site equipment returns a message or other messages, the message is abnormal.
3) Monitoring data anomalies:
for example, the OMC center requests data from the site device, and the data range returned by the site device exceeds the preset range value of the OMC center.
4) Monitoring data logic anomalies:
for example, the OMC center sends the first frame and the second frame upgrade data to the site device, which replies with non-third frame data.
S2, when the running state of any site equipment is abnormal, determining abnormal data from monitoring coded data generated in the process of interaction between the site equipment and the OMC center, and determining a message corresponding to the abnormal data as an abnormal message.
The method for determining the abnormal message in the 5G MIMO frequency-shifting two-way system can efficiently and accurately determine the abnormal message, and improves the degree of intelligence.
Optionally, in S2, when the operation state of any site device is abnormal, determining abnormal data from monitoring encoded data generated in the process of interaction between the site device and the OMC center, where the determining includes:
and S20, when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and the OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
The process for obtaining the data accuracy judging model comprises the following steps:
s200, obtaining abnormal data in question-answer abnormality, question-answer interaction logic abnormality, monitoring data abnormality and monitoring data logic abnormality from a plurality of historical monitoring coded data, obtaining normal data from a plurality of historical monitoring coded data, and forming a training set from the obtained abnormal data and the normal data;
and S201, training a preset deep learning model based on the training set to obtain a data accuracy judgment model. The preset deep learning model can be a neural network, an isolated forest algorithm, an One-Class SVM algorithm or the like.
The abnormal data is question-answer information of the message and reply information of the message, so that the message corresponding to the abnormal data can be determined, namely, the abnormal message is determined. The message refers to: messages generated and used when the site equipment interacts with the OMC center.
In the above embodiments, although steps S1, S2, etc. are numbered, only specific embodiments of the present invention are given, and those skilled in the art may adjust the execution sequence of S1, S2, etc. according to the actual situation, which is also within the scope of the present invention, and it is understood that some embodiments may include some or all of the above embodiments.
As shown in fig. 2, a system 200 for determining abnormal messages in a 5G MIMO frequency-shifting dual-path system according to an embodiment of the present invention includes an operation state analysis module 201 and a determination module 202;
the running state analysis module 201 is configured to: analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
the determining module 202 is configured to: when the running state of any site equipment is abnormal, abnormal data is determined from monitoring coded data generated in the process of interaction between the site equipment and the OMC center, and a message corresponding to the abnormal data is determined to be an abnormal message.
Optionally, in the foregoing technical solution, the determining module 202 determines the process of the abnormal data, including:
when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and the OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
Optionally, in the above technical solution, the system further includes a classification module, where the classification module is configured to: and classifying the preset monitoring coded data to obtain the monitoring coded data generated in the process of interaction between each site device and the OMC center.
Optionally, in the above technical solution, the station device in the 5G MIMO frequency-shifting dual-path system includes a near-end machine and a far-end machine.
It should be noted that, the beneficial effects of the system 200 for determining the abnormal message in the 5G MIMO frequency-shift dual-path system provided in the above embodiment are the same as the beneficial effects of the method for determining the abnormal message in the 5G MIMO frequency-shift dual-path system described above, and are not described herein again. In addition, when the system provided in the above embodiment implements the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the system is divided into different functional modules according to practical situations, so as to implement all or part of the functions described above. In addition, the system and method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
As shown in fig. 3, in an embodiment of the present invention, a computer device 300 includes a processor 320, where the processor 320 is coupled to a memory 310, and at least one computer program 330 is stored in the memory 310, and the at least one computer program 330 is loaded and executed by the processor 320, so that the computer device 300 implements any one of the above methods for determining an abnormal message in a 5G MIMO frequency-shifting dual-path system, specifically:
the computer device 300 may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, where the one or more memories 310 store at least one computer program 330, where the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the computer device 300 implements any of the methods for determining abnormal messages in a 5G MIMO frequency-shifted dual-channel system provided in the above embodiments. Of course, the computer device 300 may also have a wired or wireless network interface, a keyboard, an input/output interface, and other components for implementing the functions of the device, which are not described herein.
The embodiment of the invention provides a computer readable storage medium, wherein at least one computer program is stored in the computer readable storage medium, and the at least one computer program is loaded and executed by a processor, so that a computer realizes any one of the methods for determining abnormal messages in a 5G MIMO frequency-shifting two-way system.
Alternatively, the computer readable storage medium may be a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a compact disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or computer program comprising computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from a computer readable storage medium, and the processor executes the computer instructions to cause the computer device to perform any of the above methods of determining an abnormal message in a 5G MIMO frequency-shifted two-way system.
It should be noted that the terms "first," "second," and the like in the description and in the claims of the present application are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. The order of use of similar objects may be interchanged where appropriate so that embodiments of the present application described herein may be implemented in other sequences than those illustrated or described.
Those skilled in the art will appreciate that the present invention may be embodied as a system, method or computer program product, and that the disclosure may therefore be embodied in the form of: either entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or entirely software, or a combination of hardware and software, referred to herein generally as a "circuit," module "or" system. Furthermore, in some embodiments, the invention may also be embodied in the form of a computer program product in one or more computer-readable media, which contain computer-readable program code.
Any combination of one or more computer readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. A method for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system, comprising:
analyzing preset monitoring coding data to determine the running state of each station device in the 5G MIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
when the running state of any site equipment is abnormal, abnormal data is determined from monitoring coded data generated in the process of interaction between the site equipment and an OMC center, and a message corresponding to the abnormal data is determined to be an abnormal message.
2. The method for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system according to claim 1, wherein when an operation state of any one of the station apparatuses is abnormal, determining abnormal data from monitoring encoded data generated during interaction of the station apparatus with the OMC center, comprises:
when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and an OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
3. A method for determining an exception message in a 5G MIMO frequency-shifted dual-path system according to claim 1 or 2, further comprising:
and classifying the preset monitoring coded data to obtain the monitoring coded data generated in the process of interaction between each site device and the OMC center.
4. A method for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system according to claim 1 or 2, wherein the station device in the 5G MIMO frequency-shifted dual-path system comprises a near-end machine and a far-end machine.
5. The system for determining the abnormal message in the 5G MIMO frequency-shifting two-way system is characterized by comprising an operation state analysis module and a determination module;
the running state analysis module is used for: analyzing preset monitoring coding data to determine the running state of each site device in the 5GMIMO frequency-shifting two-way system, wherein the preset monitoring coding data refer to: monitoring coded data generated in the process that each site device interacts with the OMC center through messages;
the determining module is used for: when the running state of any site equipment is abnormal, abnormal data is determined from monitoring coded data generated in the process of interaction between the site equipment and an OMC center, and a message corresponding to the abnormal data is determined to be an abnormal message.
6. The system for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system of claim 5, wherein the determining module determines abnormal data comprising:
when the running state of any site equipment is abnormal, identifying monitoring coding data generated in the process of interaction between any site equipment and an OMC center by using a data accuracy judging model, and determining abnormal data, wherein a preset deep learning model is trained to obtain the data accuracy judging model.
7. The system for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system according to claim 5 or 6, further comprising a classification module, wherein the classification module is configured to: and classifying the preset monitoring coded data to obtain the monitoring coded data generated in the process of interaction between each site device and the OMC center.
8. The system for determining abnormal messages in a 5G MIMO frequency-shifted dual-path system of claim 7, wherein the station apparatus in the 5G MIMO frequency-shifted dual-path system comprises a near-end machine and a far-end machine.
9. A computer device comprising a processor coupled to a memory, the memory having stored therein at least one computer program, the at least one computer program being loaded and executed by the processor to cause the computer device to implement a method of determining abnormal messages in a 5G MIMO frequency-shifted dual-path system as claimed in any one of claims 1 to 4.
10. A computer readable storage medium having stored therein at least one computer program loaded and executed by a processor to cause the computer to implement a method of determining an outlier message in a 5GMIMO frequency shifted dual path system according to any one of claims 1 to 4.
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