A networked unmanned ship communication network quality dynamic analysis processing method and system

Abstract

The present application belongs to the technical field of abnormal navigation dynamic analysis and processing of networked unmanned ships, and particularly relates to a networked unmanned ship communication network quality dynamic analysis and processing method, system and platform. The present application acquires communication network quality data in the navigation area of the networked unmanned ship in real time through the method; constructs an abnormal quality index database, and according to the communication network quality data, backs up the real-time generated abnormal quality index data to the corresponding abnormal quality index database; updates the network quality data in real time according to the network quality data; and generates a network quality report. The present application can normalize various quality data, and perform total weighted average, so as to obtain real-time network quality evaluation results, and the measurement work is simple, and the network quality data has strong real-time performance.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of abnormal navigation dynamic analysis and processing of networked unmanned ships, and particularly relates to a networked unmanned ship communication network quality dynamic analysis and processing method, system and platform. BACKGROUND

[0002] At present, when the networked unmanned ship sails in the sailing area, it is often affected by environmental factors such as weather, sea waves and ship density, and the mobile communication network quality is in a dynamic change process. However, the current test of the mobile communication network communication quality of the networked unmanned ship mostly adopts a traversal measurement method, which has the technical problems of heavy measurement work and poor real-time performance of network quality data.

[0003] Therefore, in view of the technical problems and defects of the current test of the mobile communication network communication quality of the networked unmanned ship mostly adopting the traversal measurement method, which has heavy measurement work and poor real-time performance of network quality data, it is urgent to design and develop a networked unmanned ship communication network quality dynamic analysis and processing method, system and platform. SUMMARY

[0004] In order to overcome the deficiencies and difficulties of the prior art, the purpose of the present application is to provide a networked unmanned ship communication network quality dynamic analysis and processing method, system and platform, so as to realize the normalization of various quality data and the overall weighted average, so as to obtain real-time network quality evaluation results.

[0005] The first purpose of the present application is to provide a networked unmanned ship communication network quality dynamic analysis and processing method;

[0006] The second purpose of the present application is to provide a networked unmanned ship communication network quality dynamic analysis and processing system;

[0007] The third purpose of the present application is to provide a networked unmanned ship communication network quality dynamic analysis and processing platform;

[0008] The first purpose of the present application is achieved by the following steps:

[0009] Real-time acquisition of communication network quality data in the sailing area of the networked unmanned ship;

[0010] Construction of an abnormal quality index database, and backup of the real-time generated abnormal quality index data to the corresponding abnormal quality index database according to the communication network quality data;

[0011] Real-time updating of network quality data according to the network quality data; and generation of a network quality report.

[0012] Furthermore, the real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel also includes the following steps:

[0013] Real-time comparison of communication network quality data within the region;

[0014] Based on the comparison data, useless and duplicate communication network quality data are removed in real time and backed up.

[0015] Furthermore, the communication network quality data specifically refers to: technical indicator data of communication network quality;

[0016] The technical indicators of the communication network quality specifically include: reference signal received power data, reference signal received quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data.

[0017] Furthermore, the step of constructing an abnormal quality indicator database and backing up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on communication network quality data also includes the following steps:

[0018] The system detects and determines whether generated abnormal quality indicator data is abnormal; if so, it exports the corresponding data from the abnormal quality indicator database; otherwise, it continues to detect and determine abnormal quality indicator data.

[0019] Based on the number of times abnormal quality index data is determined, a relationship formula is generated between the number of times data is detected as abnormal quality index data and the number of times data is detected as normal quality index data.

[0020] Based on the frequency relationship, the final abnormal quality index data is generated.

[0021] Furthermore, the step of constructing an abnormal quality indicator database and backing up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on communication network quality data also includes the following steps:

[0022] Based on abnormal quality index data, clean and remove abnormal quality index data in real time;

[0023] Real-time backup of removed abnormal quality indicator data.

[0024] Furthermore, the step of updating network quality data in real time based on network quality data and generating a network quality report also includes the following steps:

[0025] Real-time transmission of network quality data;

[0026] Based on network quality data, and using distance and density as criteria, old network quality data is removed in real time.

[0027] Furthermore, based on network quality data and using distance and density as criteria, the process of removing old network quality data in real time also includes the following steps:

[0028] Based on the distance range of the old network quality data, old network quality data is removed and updated in real time.

[0029] Furthermore, the step of updating network quality data in real time based on network quality data and generating a network quality report also includes the following steps:

[0030] Normalize various types of quality data and perform weighted averaging to generate real-time network quality evaluation reports.

[0031] The second objective of this invention is achieved as follows: the system specifically includes: a data acquisition unit for acquiring communication network quality data in the navigation area of ​​the connected unmanned vessel in real time; an indicator database construction unit for constructing an abnormal quality indicator database and backing up the abnormal quality indicator data generated in real time to the corresponding abnormal quality indicator database based on the communication network quality data; and a report generation unit for updating network quality data in real time based on network quality data and generating a network quality report.

[0032] The data acquisition unit is further provided with: a comparison module for real-time comparison of communication network quality data within the area; and a first removal and backup module for real-time removal of useless and duplicate communication network quality data based on the comparison data, and backing up and saving the data.

[0033] The technical indicators of the communication network quality specifically include: reference signal received power data, reference signal received quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data.

[0034] The indicator database construction unit is further provided with a first generation module for real-time detection of generated abnormal quality indicator data and determination of whether it is abnormal quality indicator data.

[0035] A second generation module is used to determine the number of times abnormal quality index data is detected and to generate a formula relating the number of times the data is detected as abnormal quality index data and the number of times it is detected as normal quality index data based on the number of times the data is detected; a third generation module is used to generate the final abnormal quality index data based on the formula relating the number of times the data is detected.

[0036] A cleaning and removal module for real-time cleaning and removal of abnormal quality index data based on abnormal quality index data; and a second removal and backup module for real-time backup of the removed abnormal quality index data.

[0037] The report generation unit also includes: a data transmission module for real-time transmission of network quality data; a first removal module for real-time removal of old network quality data based on network quality data and distance and density; a second removal module for real-time removal and updating of old network quality data based on the distance range of old network quality data; and a normalization processing generation module for normalizing various types of quality data, performing weighted average processing, and generating a real-time network quality evaluation report.

[0038] The third objective of this invention is achieved as follows: it includes a processor, a memory, and a control program for a network-connected unmanned vessel communication network quality dynamic analysis and processing platform.

[0039] The processor executes the control program for the network-connected unmanned vessel communication network quality dynamic analysis and processing platform, which is stored in the memory. The control program implements the steps of the network-connected unmanned vessel communication network quality dynamic analysis and processing method.

[0040] This invention acquires real-time communication network quality data within the navigation area of ​​a connected unmanned surface vessel (USV); constructs an anomaly quality index database and backs up the real-time generated anomaly quality index data to the corresponding database based on the communication network quality data; updates the network quality data in real-time based on the network quality data; and generates a network quality report. It can normalize various types of quality data and perform a weighted average to obtain real-time network quality evaluation results. Furthermore, the measurement process is simple, and the network quality data is highly real-time. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 This is a schematic diagram of the process for dynamic analysis and processing of the communication network quality of a connected unmanned surface vessel according to the present invention.

[0043] Figure 2 This is a schematic diagram of the architecture of a network-connected unmanned surface vessel communication network quality dynamic analysis and processing system according to the present invention;

[0044] Figure 3 This is a schematic diagram of the architecture of a network-connected unmanned surface vessel communication network quality dynamic analysis and processing platform according to the present invention;

[0045] Figure 4 This is a schematic diagram of a computer-readable storage medium architecture in one embodiment of the present invention;

[0046] Figure 5 This is a schematic diagram illustrating the removal of old quality data in an embodiment of the dynamic analysis and processing method for the communication network quality of a connected unmanned vessel according to the present invention.

[0047] In the picture:

[0048] 1-New quality data; 2-Old quality data;

[0049] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0050] To facilitate a clearer understanding of the objectives, technical solutions, and advantages of this invention, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of this invention from the content disclosed in this specification.

[0051] This invention can also be implemented or applied through other different specific examples, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of this invention.

[0052] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0053] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Secondly, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0054] Preferably, the method for dynamic analysis and processing of network quality of connected unmanned surface vessels according to the present invention is applied in one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0055] The terminal can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal can interact with the customer via a keyboard, mouse, remote control, touchpad, or voice control device.

[0056] This invention provides a method, system, platform, and storage medium for dynamic analysis and processing of the communication network quality of connected unmanned surface vessels.

[0057] like Figure 1 The diagram shown is a flowchart of the dynamic analysis and processing method for the communication network quality of connected unmanned vessels provided in an embodiment of the present invention.

[0058] In this embodiment, the method for dynamic analysis and processing of the network quality of the connected unmanned vessel can be applied to a terminal or fixed terminal with display function. The terminal is not limited to personal computers, smartphones, tablets, desktop computers or all-in-one computers with cameras, etc.

[0059] The network-connected unmanned surface vessel (USV) communication network quality dynamic analysis and processing method can also be applied to a hardware environment consisting of a terminal and a server connected to the terminal via a network. The network includes, but is not limited to, a wide area network (WAN), a metropolitan area network (MAN), or a local area network (LAN). The network-connected USV communication network quality dynamic analysis and processing method of this embodiment can be executed by the server, by the terminal, or by both the server and the terminal.

[0060] For example, for terminals requiring dynamic analysis and processing of the communication network quality of connected unmanned surface vessels (USVs), the dynamic analysis and processing function of the USV communication network quality provided by the method of this invention can be directly integrated into the terminal, or a client for implementing the method of this invention can be installed. Alternatively, the method provided by this invention can also run on servers or other devices in the form of a Software Development Kit (SDK), providing an interface for the dynamic analysis and processing function of the USV communication network quality in the form of an SDK. Terminals or other devices can then implement the dynamic analysis and processing function of the USV communication network quality through the provided interface.

[0061] The present invention will be further described below with reference to the accompanying drawings.

[0062] like Figures 1-5 As shown, this invention provides a method for dynamic analysis and processing of the communication network quality of connected unmanned surface vessels. The method specifically includes the following steps:

[0063] S1. Real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel;

[0064] S2. Construct an abnormal quality indicator database and back up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on the communication network quality data.

[0065] S3. Update network quality data in real time based on network quality data; and generate network quality reports.

[0066] The real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel also includes the following steps:

[0067] S11. Real-time comparison of communication network quality data within the region;

[0068] S12. Based on the comparison data, remove useless and duplicate communication network quality data in real time and back them up.

[0069] The communication network quality data specifically refers to the technical indicator data of the communication network quality.

[0070] The technical indicators of the communication network quality specifically include: reference signal received power data, reference signal received quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data.

[0071] The step of constructing an abnormal quality indicator database and backing up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on communication network quality data also includes the following steps:

[0072] S21. Real-time detection of generated abnormal quality indicator data, and determination of whether it is abnormal quality indicator data; if so, export the corresponding data from the abnormal quality indicator database; otherwise, continue detection and determination.

[0073] S22. Based on the number of times abnormal quality index data is determined, a relationship formula is generated between the number of times data is detected as abnormal quality index data and the number of times data is detected as normal quality index data.

[0074] S23. Generate the final abnormal quality index data based on the frequency relationship formula.

[0075] The step of constructing an abnormal quality indicator database and backing up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on communication network quality data also includes the following steps:

[0076] S24. Based on the abnormal quality index data, clean and remove the abnormal quality index data in real time.

[0077] S25. Real-time backup of removed abnormal quality indicator data.

[0078] The step of updating network quality data in real time based on network quality data and generating a network quality report also includes the following steps:

[0079] S31. Real-time transmission of network quality data;

[0080] S32. Based on network quality data, and using distance and density as criteria, remove old network quality data in real time.

[0081] Based on network quality data, and using distance and density as criteria, the process of removing old network quality data in real time also includes the following steps:

[0082] S321. Based on the distance range of the old network quality data, remove and update the old network quality data in real time.

[0083] The step of updating network quality data in real time based on network quality data and generating a network quality report also includes the following steps:

[0084] S33. Normalize various quality data and perform weighted averaging to generate a real-time network quality evaluation report.

[0085] Specifically, in this embodiment of the invention, a method for dynamic analysis and evaluation of the communication network quality of connected unmanned surface vessels is provided, comprising the following steps:

[0086] Technical indicators of mobile communication network quality within the navigation area of ​​the connected unmanned vessel are collected. These technical indicators include reference signal received power, reference signal received quality, signal-to-interference-plus-noise ratio, uplink and downlink rates, and end-to-server latency. The technical indicators are then categorized and stored. The data is compared and tested to remove useless and duplicate data. Finally, the technical indicator data is backed up.

[0087] The process involves detecting and identifying anomalous quality indicator data, then cleaning and removing these anomalous data to create an initial database of mobile communication network quality within the navigation area. An anomalous quality indicator database is then established, and the removed anomalous data is backed up. The system is then tested again to determine if the data is anomalous. If it remains anomalous, it is definitively classified as such. If it returns to normal, multiple tests are conducted. If the number of normal results exceeds the number of anomalous results, the system is considered normal, and the anomalous quality indicator database is exported and restored. If the number of normal results is less than the number of anomalous results, the system remains anomalous and unchanged. The entire testing process and results are recorded and reported. Furthermore, the anomalous quality indicator data in the database is used to assist in the subsequent detection and identification of anomalous data. This data is then cleaned and removed, and the removed anomalous data is also backed up to the database. This cycle continues, and through continuous accumulation, the system can identify and resolve anomalous quality indicator data more quickly and accurately.

[0088] During the navigation of the connected unmanned surface vessel, network quality data is reported to the server. The server discards old quality data based on distance and density according to the reported data. When there are multiple new quality data within a set distance range of old quality data, the old quality data is discarded and the multiple new quality data closest to the current time are retained.

[0089] Based on real-time updated quality data, various types of quality data are normalized and a total weighted average is performed to obtain real-time network quality evaluation results.

[0090] To achieve the above objectives, the present invention also provides a dynamic analysis and processing system for the communication network quality of connected unmanned surface vessels, such as... Figure 2As shown, the system specifically includes: a data acquisition unit for acquiring real-time communication network quality data within the navigation area of ​​the connected unmanned vessel; an indicator database construction unit for constructing an abnormal quality indicator database and backing up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on the communication network quality data; and a report generation unit for updating network quality data in real-time based on network quality data and generating a network quality report.

[0091] The data acquisition unit is further provided with: a comparison module for real-time comparison of communication network quality data within the area; and a first removal and backup module for real-time removal of useless and duplicate communication network quality data based on the comparison data, and backing up and saving the data.

[0092] The technical indicators of the communication network quality specifically include: reference signal received power data, reference signal received quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data.

[0093] The indicator database construction unit is further provided with a first generation module for real-time detection of generated abnormal quality indicator data and determination of whether it is abnormal quality indicator data.

[0094] A second generation module is used to determine the number of times abnormal quality index data is detected and to generate a formula relating the number of times the data is detected as abnormal quality index data and the number of times it is detected as normal quality index data based on the number of times the data is detected; a third generation module is used to generate the final abnormal quality index data based on the formula relating the number of times the data is detected.

[0095] A cleaning and removal module for real-time cleaning and removal of abnormal quality index data based on abnormal quality index data; and a second removal and backup module for real-time backup of the removed abnormal quality index data.

[0096] The report generation unit also includes: a data transmission module for real-time transmission of network quality data; a first removal module for real-time removal of old network quality data based on network quality data and distance and density; a second removal module for real-time removal and updating of old network quality data based on the distance range of old network quality data; and a normalization processing generation module for normalizing various types of quality data, performing weighted average processing, and generating a real-time network quality evaluation report.

[0097] In the system solution embodiment of the present invention, the specific details of the method steps involved in the dynamic analysis and processing of the communication network quality of the connected unmanned vessel have been described above and will not be repeated here.

[0098] To achieve the above objectives, the present invention also provides a dynamic analysis and processing platform for the communication network quality of connected unmanned surface vessels, such as... Figure 3As shown, it includes: a processor, memory, and a control program for a network-connected unmanned surface vessel communication network quality dynamic analysis and processing platform;

[0099] The processor executes the control program for the network-connected unmanned surface vessel (USV) communication network quality dynamic analysis and processing platform. This control program is stored in the memory. The control program implements the steps of the network-connected unmanned surface vessel (USV) communication network quality dynamic analysis and processing method, for example:

[0100] S1. Real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel;

[0101] S2. Construct an abnormal quality indicator database and back up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on the communication network quality data.

[0102] S3. Update network quality data in real time based on network quality data; and generate network quality reports.

[0103] The specific details of the steps have been explained above and will not be repeated here.

[0104] In this embodiment of the invention, the network-connected unmanned vessel communication network quality dynamic analysis and processing platform has a built-in processor, which can be composed of integrated circuits. For example, it can be composed of a single packaged integrated circuit, or it can be composed of multiple integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips. The processor connects to various components through various interfaces and lines, and executes programs or units stored in the memory, and calls data stored in the memory to perform various functions of network-connected unmanned vessel communication network quality dynamic analysis and processing and data processing.

[0105] The memory is used to store program code and various data. It is installed in the network-connected unmanned vessel communication network quality dynamic analysis and processing platform, and can complete the access of programs or data at high speed and automatically during operation.

[0106] The memory includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0107] To achieve the above objectives, the present invention also provides a computer-readable storage medium, such as... Figure 4 As shown, the computer-readable storage medium stores a control program for a network-connected unmanned surface vessel (USV) communication network quality dynamic analysis and processing platform. This control program implements the steps of the network-connected USV communication network quality dynamic analysis and processing method, for example:

[0108] S1. Real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel;

[0109] S2. Construct an abnormal quality indicator database and back up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on the communication network quality data.

[0110] S3. Update network quality data in real time based on network quality data; and generate network quality reports.

[0111] The specific details of the steps have been explained above and will not be repeated here.

[0112] In the description of embodiments of the present invention, it should be noted that any process or method description in the flowcharts or otherwise described herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0113] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processing module, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, a “computer-readable medium” can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM).

[0114] Furthermore, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0115] In this embodiment of the invention, to achieve the above objective, the invention also provides a chip system, the chip system including at least one processor, wherein when program instructions are executed in the at least one processor, the chip system performs the steps of the network-connected unmanned vessel communication network quality dynamic analysis and processing method, for example:

[0116] S1. Real-time acquisition of communication network quality data within the navigation area of ​​the connected unmanned vessel;

[0117] S2. Construct an abnormal quality indicator database and back up the real-time generated abnormal quality indicator data to the corresponding abnormal quality indicator database based on the communication network quality data.

[0118] S3. Update network quality data in real time based on network quality data; and generate network quality reports.

[0119] The specific details of the steps have been explained above and will not be repeated here.

[0120] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0121] This invention acquires real-time communication network quality data within the navigation area of ​​a connected unmanned surface vessel (USV); constructs an anomaly quality index database and backs up the real-time generated anomaly quality index data to the corresponding database based on the communication network quality data; updates the network quality data in real-time based on the network quality data; and generates a network quality report. It can normalize various types of quality data and perform a weighted average to obtain real-time network quality evaluation results. Furthermore, the measurement process is simple, and the network quality data is highly real-time.

[0122] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for analyzing and processing network quality of a networked unmanned ship communication network, characterized in that The method specifically comprises the following steps: Real-time acquisition of communication network quality data in the navigation area of the network-connected unmanned ship; Construction of an abnormal quality index database, and backup of the real-time generated abnormal quality index data to the corresponding abnormal quality index database according to the communication network quality data; including the following steps: detection of the quality index data in the communication network quality data to determine the abnormal quality index data, then cleaning of the communication network quality data to remove the abnormal quality index data; establishment of an abnormal quality index database, backup of the removed abnormal quality index data to the abnormal quality index database, and re-detection of the generated abnormal quality index data; If the re-detection is still abnormal, it is finally determined to be abnormal; If the re-detection is normal, multiple detections are performed; if the number of normal detections is greater than the number of abnormal detections, it is determined to be normal, and the abnormal quality index data is exported from the abnormal quality index database for recovery; If the number of normal detections is less than the number of abnormal detections, it is determined to be abnormal and remains unchanged; the abnormal quality index data in the abnormal quality index database is used to assist in detecting the next quality index data to determine the abnormal quality index data, then the communication network quality data is cleaned to remove the abnormal quality index data, and the removed abnormal quality index data is also backed up to the abnormal quality index database; Real-time updating of the current communication network quality data according to the cleaned communication network quality data and the data exported and recovered from the abnormal quality index database; and generation of a network quality report.

2. The method of claim 1, wherein The real-time acquisition of the communication network quality data in the navigation area of the network-connected unmanned ship further comprises the following steps: Real-time comparison of the communication network quality data in the area; Real-time removal of useless and repeated communication network quality data according to the compared data, and backup and preservation.

3. The method of claim 1 or 2, wherein The communication network quality data specifically refers to technical index data of communication network quality; The technical index data of communication network quality specifically includes reference signal received power data, reference signal received quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data.

4. The method of claim 1, wherein The real-time updating of the current communication network quality data according to the cleaned communication network quality data and the data exported and recovered from the abnormal quality index database; and generation of a network quality report further comprises the following steps: Real-time transmission of the communication network quality data; Real-time removal of old communication network quality data according to the communication network quality data and distance and density.

5. The networked unmanned ship communication network quality dynamic analysis processing method according to claim 4, characterized in that The real-time removal of old communication network quality data according to the communication network quality data and distance and density further comprises the following steps: Real-time removal and updating of old communication network quality data according to the distance range of the old communication network quality data.

6. The networked unmanned ship communication network quality dynamic analysis and processing method according to claim 1, characterized in that The real-time updating of the current communication network quality data according to the cleaned communication network quality data and the data exported and recovered from the abnormal quality index database; and generation of a network quality report further comprises the following steps: Normalization processing of various quality data, weighted average processing, and generation of a real-time network quality evaluation report.

7. A system for performing the method of any one of claims 1-6. The system specifically comprises: A data acquisition unit for acquiring communication network quality data in the navigation area of the networked unmanned ship in real time; an index database construction unit for constructing an abnormal quality index database and backing up the real-time generated abnormal quality index data to the corresponding abnormal quality index database according to the communication network quality data; and a report generation unit for updating the current communication network quality data in real time according to the real-time acquired communication network quality data, and generating a network quality report; The data acquisition unit is further provided with a comparison module for comparing the communication network quality data in the area in real time, and a first removal backup module for removing and backing up the useless and repeated communication network quality data in real time according to the compared data; The technical index data of the communication network quality specifically comprises reference signal receiving power data, reference signal receiving quality data, signal-to-interference-plus-noise ratio data, uplink and downlink rate data, and end-to-server latency data; The index database construction unit is further provided with a first generation module for detecting the generated abnormal quality index data in real time and determining whether it is abnormal quality index data; A second generation module for generating a number relationship formula of the detected abnormal quality index data and the detected normal quality index data according to the number of abnormal quality index data determinations; and a third generation module for generating final abnormal quality index data according to the number relationship formula; A cleaning removal module for cleaning and removing the abnormal quality index data in real time according to the abnormal quality index data; and a second removal backup module for backing up the removed abnormal quality index data in real time; The report generation unit is further provided with a data transmission module for transmitting the communication network quality data in real time; a first removal module for removing old communication network quality data in real time according to the communication network quality data and based on distance and density; a second removal module for removing and updating the old communication network quality data in real time according to the distance range of the old communication network quality data; and a normalization processing generation module for normalizing and weightedly averaging various quality data to generate a real-time network quality evaluation report.

8. A networked unmanned ship communication network quality dynamic analysis processing platform, characterized in that, Comprise: A processor, a memory, and a networked unmanned ship communication network quality dynamic analysis processing platform control program; Wherein the processor executes the networked unmanned ship communication network quality dynamic analysis processing platform control program, the networked unmanned ship communication network quality dynamic analysis processing platform control program is stored in the memory, and the networked unmanned ship communication network quality dynamic analysis processing platform control program realizes the networked unmanned ship communication network quality dynamic analysis processing method steps in any one of claims 1 to 6.

Images