CN115987376A - Performance test method and device for radio frequency equipment in earth station overhead - Google Patents
Performance test method and device for radio frequency equipment in earth station overhead Download PDFInfo
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Abstract
The application relates to the technical field of satellite communication equipment correlation, in particular to a performance test technology of radio frequency equipment in an overhead earth station, and specifically relates to a performance test method and a device of the radio frequency equipment in the overhead earth station; the method comprises the steps of obtaining real-time data information of a device to be tested, extracting effective frequency spectrum characteristics in the real-time data, comparing the effective frequency spectrum characteristics with an established abnormal characteristic database in a convergence state to obtain abnormal activity characteristic information, and determining whether a fault exists and corresponding fault information based on the abnormal activity characteristic information. And then comparing the fault information with the established fault-phenomenon relation library, and determining corresponding phenomenon information through the relation library based on the acquired fault information. The invention completely realizes automation in the test process, determines corresponding faults and corresponding phenomena according to real-time information, and reduces the difficulty and complexity of manually identifying the faults and determining the equipment state.
Description
Technical Field
The application relates to the technical field of satellite communication equipment correlation, in particular to a performance testing technology of radio frequency equipment in an overhead earth station, and specifically relates to a performance testing method and device of the radio frequency equipment in the overhead earth station.
Background
Currently, the use period of radio frequency equipment in earth stations is generally long. Usually, only the most basic centralized monitoring software is equipped after the equipment is installed and debugged, and the equipment does not have a long-term and detailed state recording function, and the performance acquisition method for the equipment measures and records some key indexes at a specified time node, and usually archives the key indexes in a paper table or WORD document mode, so that the joint application and performance perception of the indexes are not facilitated. Due to the lack of means for storing, displaying and analyzing specific indexes of the equipment, the post experience of post personnel is heavily dependent on the use process of the equipment. The method needs post personnel to operate on the spot and manually in a plurality of links, is time-consuming, labor-consuming and inaccurate, and is not suitable for the trend of less humanization and scientification of the current equipment operation.
Disclosure of Invention
In order to solve the above technical problems, the present application provides an automated testing method, which can implement automated testing of radio frequency devices in an earth station, and the testing accuracy is correspondingly improved compared with the existing testing method.
In order to achieve the above purpose, the embodiments of the present application employ the following technical solutions:
in a first aspect, a method for testing performance of radio frequency equipment on the shelf of an earth station is applied to a server, and comprises the following steps: receiving real-time working condition information of the equipment to be tested, and extracting characteristic information in the real-time working condition information, wherein the characteristic information comprises frequency spectrum characteristics and records the characteristic information in a plurality of time periods; comparing the feature information in the adjacent time points to obtain a feature difference value, comparing the feature difference value with a preset difference threshold value to obtain a comparison result, and determining that the equipment to be tested has a fault when the feature difference value is larger than the difference threshold value; comparing the characteristic information in the later time period in the adjacent time points with a preset abnormal characteristic database, wherein the abnormal characteristic database is configured with a plurality of abnormal activity characteristic information, and determining fault information based on the comparison result; and comparing the fault with a preset fault-phenomenon relation library, determining corresponding phenomenon information based on the fault information, and sending the fault information and the phenomenon information to corresponding clients.
Further, extracting feature information in the real-time working condition information includes: receiving a test request and acquiring a node number of a corresponding frequency spectrum according to a corresponding initiator of the test request; converting the node number into a control signal, and sending the control signal to a gating switch control port through a serial port; any path of input signals is gated to an output port by the gating switch, and the input signals are sent to corresponding test equipment through the output port; acquiring main parameters in the frequency spectrum, wherein the main parameters comprise a central frequency point, a data sending rate and a modulation and demodulation mode; and acquiring the frequency spectrum data through the control signal, and calculating the characteristic information of the frequency spectrum data.
Further, comparing the characteristic information with a preset abnormal characteristic database, including extracting abnormal state activity characteristics of early warning state activities related to the characteristic information, and comparing the abnormal state activity characteristics with the abnormal characteristic database.
Further, extracting abnormal state activity features of the early warning state activities related to the feature information includes: and performing feature extraction on the feature information based on an abnormal decision network in a convergence state after training to obtain the activity features of the abnormal state.
Further, the training of the abnormal decision network comprises the following steps: and constructing an initial decision network, and performing network weight optimization on the initial decision network based on a plurality of sample data sets corresponding to a plurality of characteristic information to obtain the early warning state decision network meeting the network convergence requirement.
Further, comparing the abnormal state activity characteristic with the abnormal characteristic database includes: determining corresponding abnormal activity characteristic information based on the similarity threshold, and determining fault information, specifically comprising the following steps: and sequencing the similarity within the threshold range, taking the abnormal activity characteristic information corresponding to the similarity corresponding to the highest sequenced value as target abnormal activity characteristic information, and determining the corresponding fault behavior based on the target abnormal activity characteristic information.
Further, the method for constructing the abnormal activity characteristic database comprises the following steps: and determining abnormal state activity characteristics of an abnormal activity characteristic database according to abnormal state activity characteristics of radio frequency equipment state activity in a second derivative earth station overhead frame matched with the radio frequency equipment configuration environment in the target earth station overhead frame and early warning state attribute distribution respectively related to the abnormal state activity characteristics of the radio frequency equipment state activity in at least two first derivative overhead frames.
Further, the method for constructing the abnormal activity feature database specifically includes: constructing a global feature association map of the abnormal state activity features of the at least two second derived earth station state activities according to the abnormal state activity features of the at least two second derived earth station state activities; and constructing the abnormal state activity characteristics of the abnormal activity characteristic database according to the abnormal state activity characteristics of at least two second derivative earth station state activities, the global characteristic association map and the early warning state attribute distribution respectively related to the abnormal state activity characteristics of at least two first derivative earth station state activities.
In a second aspect, a performance testing apparatus for radio frequency equipment in an earth station is provided, which includes: the data acquisition module is used for acquiring frequency spectrum characteristic information in a plurality of time periods in the equipment to be tested; the first comparison module is used for comparing the characteristic information in the adjacent time periods to obtain a characteristic difference value, and comparing the characteristic difference value with a preset difference threshold value to obtain a comparison result to determine that the equipment to be tested has a fault; the fault information determining module is used for comparing the characteristic information in the later time period in the adjacent time points with a preset abnormal characteristic database to obtain fault information; and the second comparison module is used for comparing the fault information with a preset fault-phenomenon relation library and determining corresponding phenomenon information based on the fault information.
Furthermore, an abnormal feature database construction submodule is further arranged in the first comparison module and used for constructing a database containing abnormal feature data.
In a third aspect, a terminal device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of the preceding claims when executing the computer program.
In a fourth aspect, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the method of any of the above.
According to the technical scheme provided by the embodiment of the application, the real-time data information of the device to be tested is obtained, the effective spectrum characteristics in the real-time data are extracted, the effective spectrum characteristics are compared with the established abnormal characteristic database in the convergence state to obtain abnormal activity characteristic information, and whether faults exist and corresponding fault information are determined based on the abnormal activity characteristic information. And then comparing the fault information with the established fault-phenomenon relation library, and determining corresponding phenomenon information through the relation library based on the acquired fault information. The invention completely realizes automation in the test process, determines corresponding faults and corresponding phenomena according to real-time information, and reduces the difficulty and complexity of manually identifying the faults and determining the equipment state.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
The methods, systems, and/or programs of the figures will be further described in accordance with the exemplary embodiments. These exemplary embodiments will be described in detail with reference to the drawings. These exemplary embodiments are non-limiting exemplary embodiments in which example numbers represent similar mechanisms throughout the various views of the drawings.
Fig. 1 is a schematic structural diagram of a system provided in an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a terminal device provided in an embodiment of the present application.
Fig. 3 is a flow chart of a method for performance testing of radio frequency equipment in an on-shelf earth station according to some embodiments of the present application.
Fig. 4 is a block diagram of an apparatus provided according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
In the following detailed description, numerous specific details are set forth by way of examples in order to provide a thorough understanding of the relevant teachings. It will be apparent, however, to one skilled in the art that the present application may be practiced without these specific details. In other instances, well-known methods, procedures, systems, compositions, and/or circuits have been described at a relatively high-level, without detail, in order to avoid unnecessarily obscuring aspects of the present application.
The present application uses flowcharts to illustrate the implementations performed by a system according to embodiments of the present application. It should be expressly understood that the processes performed by the flowcharts may be performed out of order. Rather, these implementations may be performed in the reverse order or simultaneously. In addition, at least one other implementation may be added to the flowchart. One or more implementations may be deleted from the flowchart.
Before further detailed description of the embodiments of the present invention, terms and expressions mentioned in the embodiments of the present invention are explained, and the terms and expressions mentioned in the embodiments of the present invention are applied to the following explanations.
(1) In response to the condition or state on which the performed operation depends, one or more of the performed operations may be in real-time or may have a set delay when the dependent condition or state is satisfied; there is no restriction on the order of execution of the operations performed unless otherwise specified.
(2) Based on the condition or state on which the operation to be performed depends, when the condition or state on which the operation depends is satisfied, the operation or operations to be performed may be in real time or may have a set delay; there is no restriction on the order of execution of the operations performed unless otherwise specified.
(3) Convolutional neural networks, which are mathematical or computational models that mimic the structure and function of biological neural networks (the central nervous system of animals, particularly the brain) are used to estimate or approximate functions.
According to the technical scheme provided by the embodiment of the application, the real-time data information of the device to be tested is mainly obtained, the effective frequency spectrum characteristics in the real-time data are extracted, the effective frequency spectrum characteristics are compared with the established abnormal characteristic database in a convergence state to obtain the abnormal activity characteristic information, and whether the fault exists or not and the corresponding fault information are determined based on the abnormal activity characteristic information. And then comparing the fault information with the established fault-phenomenon relation library, determining corresponding phenomenon information through the relation library based on the acquired fault information, and sending the phenomenon information to the corresponding client.
Referring to fig. 1, an embodiment of the present application provides a performance testing system 100 for radio frequency devices in an earth station overhead, which includes a terminal device 200 and a device to be tested 300 in communication with the terminal device, where the terminal device is configured to identify fault information in the device to be tested and device operation phenomenon information corresponding to the fault information, and further includes a user side connected to the terminal device 200, and the user side is configured to receive processed information and perform manual information entry and device adjustment.
Referring to fig. 2, an embodiment of the present application provides a terminal device 200, which includes a memory 210, a processor 220, and a computer program stored in the memory and executable on the processor, where the processor performs a performance test on radio frequency equipment on the rack of the earth station, and obtains fault information and early warning information in real-time operating condition data of the radio frequency equipment on the rack of the earth station. In this embodiment, the terminal device communicates with the user side, sends the acquired fault information and phenomenon information to the corresponding user side, and implements sending of the information on hardware. The method for sending the information is realized based on a network, and before the terminal device applies, an association relation needs to be established between the user terminal and the terminal device, and the association between the terminal device and the user terminal can be realized through a registration method. The terminal device can be directed to a plurality of clients or a client, and the client communicates with the terminal device through a password and other encryption modes.
In this embodiment, the terminal may be a server, and includes a memory, a processor, and a communication unit with respect to a physical structure of the server. The memory, processor and communication unit components are electrically connected to each other, directly or indirectly, to enable data transfer or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory is used for storing specific information and programs, and the communication unit is used for sending the processed information to the corresponding user side.
In the embodiment, the storage module is divided into two storage areas, wherein one storage area is a program storage unit, and the other storage area is a data storage unit. The program storage unit is equivalent to a firmware area, the read-write authority of the area is set to be a read-only mode, and data stored in the area cannot be erased and changed. The data in the data storage unit can be erased or read and written, and when the capacity of the data storage area is full, the newly written data can overwrite the earliest historical data.
The Memory may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (Ele ultrasonic erase Read-Only Memory, EEPROM), and the like.
The processor may be an integrated circuit chip having signal processing capabilities. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP)), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Referring to fig. 3, the method for testing performance of radio frequency equipment on the earth station rack provided in this embodiment specifically includes the following steps:
step S310, receiving real-time working condition information of the to-be-tested equipment, and extracting characteristic information in the real-time working condition information, wherein the characteristic information comprises frequency spectrum characteristics.
In this embodiment, the real-time condition information for the to-be-tested device is complex and various, and the main data that can characterize the to-be-tested device is spectrum data, that is, when testing the to-be-tested device, the test evaluation data of the medium radio frequency device is spectrum data, and when processing the data, the screening and extraction of spectrum features for the acquired various data are required, which specifically includes the following processes: receiving a test request and acquiring a node number of a corresponding frequency spectrum according to a corresponding initiator of the test request; converting the node number into a control signal, and sending the control signal to a gating switch control port through a serial port; any path of input signals is gated to an output port by the gating switch, and the input signals are sent to corresponding test equipment through the output port; acquiring main parameters in the frequency spectrum, wherein the main parameters comprise a central frequency point, a data sending rate and a modulation and demodulation mode; and acquiring the frequency spectrum data through the control signal, and calculating the characteristic information of the frequency spectrum data.
In this embodiment, the acquired spectrum data is performed based on a spectrometer, so that the spectrometer needs to be set before the spectrum data is acquired, and the problem of low data accuracy caused by instability of the spectrometer is reduced, wherein the setting for the spectrometer specifically includes the following methods:
and identifying the frequency spectrum of the signal point corresponding to the request initiator through the received test request, and sending a corresponding control signal to the gating circuit board to gate the corresponding signal to enter the frequency spectrograph.
To determine what types of spectrum points are requested to obtain the spectrum, in this embodiment, corresponding descriptions are performed for different types of spectrum points:
for up-converter intermediate frequency input: and setting the center frequency of the frequency spectrograph to be the intermediate frequency transmission frequency in the link parameters.
For up-converter radio frequency output and high power amplifier input output: and setting the uplink radio frequency as Fn, the intermediate frequency sending frequency point as Fi, and the center frequency of the frequency spectrograph as Fh.
A down converter radio frequency input: and setting downlink radio frequency, intermediate frequency receiving frequency and center frequency of a frequency spectrograph.
And intermediate frequency output of a down converter: and setting the center frequency of the frequency spectrograph to be the intermediate frequency receiving frequency in the link parameters.
The method includes the steps that determination of modulation and demodulation modes and determination of node positions are respectively carried out on the four different frequency spectrum points, and different processing is carried out on the basis of different modulation and demodulation modes and different node positions, and specifically:
when the modulation and demodulation mode is 16APSK, the SPAN coefficient x is set to be 2/3, when the modulation and demodulation mode is SPSK, the SPAN coefficient x is set to be 1, and when the modulation and demodulation mode is AQSK, the SPAN coefficient x is set to be 1.5.
When the node is positioned in the sending link, the reference bandwidth is set to be Ps, and when the node is positioned in the receiving link, the reference bandwidth is set to be Pr.
Setting a spectrum analyzer SPAN as a reference bandwidth, and acquiring a corresponding AVERAGE waveform after waiting for 50 times of signal acquisition.
In the present embodiment, the real-time operation data is a key parameter of the chromatograph during operation, and includes temperature data in the chromatograph processing environment and meteorological flow velocity data for the gas chromatograph and power data for key components in the chromatograph, wherein the data acquisition is mainly performed based on sensors and data acquisition devices arranged in the chromatograph operation environment, for example, the temperature data can be acquired by a temperature sensor arranged in the chromatograph, and the meteorological flow velocity data can be acquired by a flow meter arranged in the gas phase unit. And is not exhaustive in this embodiment with respect to other types of data.
Step S320, comparing the feature information in the adjacent time points to obtain a feature difference value, comparing the feature difference value with a preset difference threshold value to obtain a comparison result, and determining that the equipment to be tested has a fault when the feature difference value is larger than the difference threshold value.
In this embodiment, whether a fault exists in the device to be tested is determined by comparing the characteristic information obtained based on a plurality of time periods to obtain a comparison difference value, and determining whether the fault exists according to the comparison difference value. Specifically, difference calculation is carried out on feature information, namely feature values, in adjacent time points to obtain a feature difference value, the feature difference value is compared with a preset difference threshold value, and when the feature difference value is larger than the difference threshold value, it is indicated that the equipment to be tested has an abnormal fault. The adjacent time nodes are unit time nodes, wherein the unit time nodes can be long time periods, such as one day or several days, wherein the time period is selected as the long time period because the numerical value change amount of the device to be tested in a short time is small, but the data acquisition is real-time acquisition, and the data acquisition of the long time period of one day or several days is the median value of the real-time acquired data.
Whether the device to be tested has abnormality can be directly obtained through the data comparison.
Step S330, determining a target time point in adjacent time points based on the numerical vector of the threshold difference, extracting characteristic information corresponding to the target time point to compare the characteristic information with a preset abnormal characteristic database, configuring a plurality of abnormal activity characteristic information in the abnormal characteristic database, and determining fault information based on a comparison result.
In this embodiment, since the result of the processing performed in step S320 is that there is a failure, the abnormal data related to the failure needs to be analyzed and determined again. Specifically, feature information in the preceding and following time periods in the adjacent time periods collected in step S320 is mined in a neural network manner to obtain fault information.
And determining whether the time period as a reference is the front time period or the rear time period based on the numerical vector of the threshold difference, when the numerical vector is a negative value, adopting the time point corresponding to the characteristic information in the rear time period as the target time point, and when the numerical vector is a positive value, adopting the time point corresponding to the characteristic information in the front time period as the target time point.
And extracting characteristic information in the target time point, comparing the characteristic information with a preset abnormal characteristic database, and determining fault information based on a comparison result.
In this embodiment, a plurality of abnormal activity feature information are configured in the abnormal feature database, where the data stored in the abnormal feature database is standard working data, for example, regarding spectrum data, the data stored in the abnormal feature database is standard spectrum data, where the abnormal activity feature information is non-standard working data, and also regarding spectrum data, the abnormal activity feature information is non-standard spectrum data. In the present embodiment, the division of the standard working data and the non-standard working data is based on the set data threshold, the comparison result is obtained by comparing the data threshold and the acquired real-time working data, and whether a fault occurs is determined again based on the comparison result.
For the abnormal feature database in this embodiment, because the collected real-time work information in the device to be tested includes various types of work information, a targeted comparison is also required in the comparison process, and for this purpose, a plurality of abnormal feature sub-databases are provided for the abnormal feature database, and comparing the real-time work data with the abnormal feature database is actually to compare different types of real-time work data with the corresponding abnormal feature sub-databases, and the result is obtained based on a data threshold preset in the abnormal feature sub-databases.
In this embodiment, matching the real-time working data with the abnormal characteristic sub-database is implemented based on data tags configured in the real-time working data and the abnormal characteristic sub-database, and the data tags are used for characterizing types of data in the real-time working data and the abnormal characteristic sub-database. In this embodiment, the data tag may be a text tag, a number tag, and a specific symbol tag.
In this embodiment, the construction of the abnormal feature data includes the following processing methods:
the abnormal activity characteristic database is obtained by collecting the acquired early warning activity characteristics, and the early warning activity characteristics are obtained by extracting the characteristics of data in the operation of the historical chromatograph based on a trained abnormal decision network.
And the training aiming at the abnormal decision network comprises the following methods: and determining an initial decision network corresponding to the real-time working data based on the data label of the real-time working data in the historical operation process. And performing network weight optimization on the initial decision network based on a plurality of sample data sets corresponding to real-time working data in a plurality of historical operation processes to obtain the early warning state decision network meeting the network convergence requirement.
In this embodiment, the network weight optimization includes the following methods:
a first historical abnormal state activity characteristic in the first historical data and a second historical abnormal state activity characteristic in the second historical data are determined.
And performing characteristic decision on the first reference data and the second reference data according to an initial decision network to obtain a first decision abnormal state activity characteristic of the first reference data and a second decision abnormal state activity characteristic of the second reference data.
And carrying out network weight optimization on the initial decision network according to the first reference abnormal state activity characteristic, the first decision abnormal state activity characteristic and the second reference abnormal state activity characteristic so as to obtain an abnormal decision network meeting the network convergence requirement.
In this embodiment, for network weight optimization, based on a reference device to be tested configured in the same environment as a target device to be tested, weight optimization is implemented based on features involved in the reference device to be tested.
In this embodiment, the types of initial decision networks corresponding to different data and the corresponding structures are different, for example, the type of initial decision network for image data is a convolutional neural network for an image, and the structure of the convolutional neural network is for an image data structure.
In this embodiment, the abnormal state activity features in the real-time working data are extracted based on the early warning state decision network.
The determination of the early warning behavior in the embodiment specifically includes the following methods:
and sequencing the similarity within the threshold range, taking the abnormal activity characteristic information corresponding to the similarity corresponding to the highest value of the sequencing as target abnormal activity characteristic information, and determining corresponding early warning behaviors based on the target abnormal activity characteristic information.
Step S340, comparing the fault with a preset fault-phenomenon relation library, determining corresponding phenomenon information based on the fault information, and sending the fault information and the phenomenon information to corresponding clients.
In this embodiment, this step mainly realizes that maintenance personnel can intuitively perceive the running state of equipment for the equipment operation phenomenon that the equipment to be tested can generate based on fault acquisition.
Referring to fig. 4, the embodiment further provides a performance testing apparatus 400 for radio frequency equipment on the earth station, which includes: the data obtaining module 410 is configured to receive real-time operating condition information of the device to be tested, and extract feature information in the real-time operating condition information, where the feature information includes a frequency spectrum feature and records feature information in multiple time periods. The first comparison module 420 is configured to compare the feature information in adjacent time periods to obtain a feature difference, and compare the feature difference with a preset difference threshold to obtain a comparison result, so as to determine that the device to be tested has a fault. And the fault information determining module 430 is configured to compare the feature information in the later time period in the adjacent time points with a preset abnormal feature database to obtain fault information. A second comparing module 440, configured to compare the fault information with a preset fault-phenomenon relationship library, and determine corresponding phenomenon information based on the fault information.
According to the technical scheme provided by the embodiment of the application, the real-time data information of the device to be tested is obtained, the effective spectrum characteristics in the real-time data are extracted, the effective spectrum characteristics are compared with the established abnormal characteristic database in the convergence state to obtain abnormal activity characteristic information, and whether faults exist and corresponding fault information are determined based on the abnormal activity characteristic information. And then comparing the fault information with the established fault-phenomenon relation library, and determining corresponding phenomenon information through the relation library based on the acquired fault information. The invention completely realizes automation in the test process, determines corresponding faults and corresponding phenomena according to real-time information, and reduces the difficulty and complexity of manually identifying the faults and determining the equipment state.
It should be understood that the technical terms which are not noun-nounced in the above-mentioned contents are not limited to the meanings which can be clearly determined by those skilled in the art from the above-mentioned disclosures.
The skilled person can determine some preset, reference, predetermined, set and preference labels without any doubt based on the above disclosure, such as threshold, threshold interval, threshold range, etc. For some technical characteristic terms which are not explained, the technical solution can be clearly and completely implemented by those skilled in the art by reasonably and unambiguously deriving the technical solution based on the logical relations in the previous and following paragraphs. Prefixes of technical-feature terms not to be explained, such as "first", "second", "example", "target", etc., can be unambiguously derived and determined from the context. Suffixes of technical-feature terms not explained, such as "set", "list", etc., can also be derived and determined unambiguously from the preceding and following text.
The above disclosure of the embodiments of the present application will be apparent to those skilled in the art from the above disclosure. It should be understood that the derivation and analysis of technical terms, which are not explained, by those skilled in the art based on the above disclosure are based on the contents described in the present application, and thus the above contents are not an inventive judgment of the overall scheme.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, adaptations, and alternatives may occur to one skilled in the art, though not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific terminology to describe embodiments of the application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means a feature, structure, or characteristic described in connection with at least one embodiment of the application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various portions of this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of at least one embodiment of the present application may be combined as appropriate.
In addition, those skilled in the art will recognize that the various aspects of the application may be illustrated and described in terms of several patentable species or contexts, including any new and useful combination of procedures, machines, articles, or materials, or any new and useful modifications thereof. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as a "unit", "component", or "system". Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in at least one computer readable medium.
A computer readable signal medium may comprise a propagated data signal with computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, and the like, or any suitable combination. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code on a computer readable signal medium may be propagated over any suitable medium, including radio, electrical cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the execution of aspects of the present application may be written in any combination of one or more programming languages, including object oriented programming such as Java, scala, smalltalk, eiffel, JADE, emerald, C + +, C #, VB.NET, python, and the like, or similar conventional programming languages, such as the "C" programming language, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, ruby, and Groovy, or other programming languages. The programming code may execute entirely on the user's computer, as a stand-alone software package, partly on the user's computer, partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order of the process elements and sequences described herein, the use of numerical letters, or other designations are not intended to limit the order of the processes and methods unless otherwise indicated in the claims. While various presently believed to be useful embodiments of the invention have been discussed in the foregoing disclosure by way of illustration, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments of the disclosure. For example, although the system components described above may be implemented by hardware means, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
It should also be appreciated that in the foregoing description of embodiments of the present application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of at least one embodiment of the invention. This method of disclosure, however, is not intended to imply that more features are required than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single disclosed embodiment.
Claims (10)
1. A performance test method for radio frequency equipment in an overhead earth station is characterized by being applied to a server and comprising the following steps:
receiving real-time working condition information of the equipment to be tested, and extracting characteristic information in the real-time working condition information, wherein the characteristic information comprises frequency spectrum characteristics and records the characteristic information in a plurality of time periods;
comparing the feature information in the adjacent time points to obtain a feature difference value, comparing the feature difference value with a preset difference threshold value to obtain a comparison result, and determining that the equipment to be tested has a fault when the feature difference value is larger than the difference threshold value;
determining a target time point in adjacent time points based on a numerical vector of a threshold difference value, extracting characteristic information corresponding to the target time point to compare with a preset abnormal characteristic database, wherein the abnormal characteristic database is configured with a plurality of abnormal activity characteristic information, and determining fault information based on a comparison result;
and comparing the fault with a preset fault-phenomenon relation library, determining corresponding phenomenon information based on the fault information, and sending the fault information and the phenomenon information to corresponding clients.
2. The method for testing the performance of the radio frequency equipment on the earth station rack according to claim 1, wherein the extracting the characteristic information of the real-time working condition information comprises:
receiving a test request and acquiring a node number of a corresponding frequency spectrum according to a corresponding initiator of the test request;
converting the node number into a control signal, and sending the control signal to a gating switch control port through a serial port;
any path of input signals is gated to an output port by the gating switch, and the input signals are sent to corresponding test equipment through the output port;
acquiring main parameters in the frequency spectrum, wherein the main parameters comprise a central frequency point, a data sending rate and a modulation and demodulation mode;
and acquiring the frequency spectrum data through the control signal, and calculating the characteristic information of the frequency spectrum data.
3. The method according to claim 2, wherein comparing the characteristic information with a preset abnormal characteristic database comprises extracting an abnormal state activity characteristic of the early warning state activity related to the characteristic information, and comparing the abnormal state activity characteristic with the abnormal characteristic database.
4. The method for testing the performance of the radio frequency equipment on the earth station, which is recited in claim 3, wherein the step of extracting the abnormal state activity characteristics of the early warning state activity, which are related to the characteristic information, comprises the steps of:
and performing feature extraction on the feature information based on an abnormal decision network which is in a convergence state after training to obtain the activity features of the abnormal state.
5. The method of claim 4, wherein the training of the abnormal decision network comprises:
and constructing an initial decision network, and performing network weight optimization on the initial decision network based on a plurality of sample data sets corresponding to a plurality of characteristic information to obtain the early warning state decision network meeting the network convergence requirement.
6. The method of claim 3, wherein comparing the abnormal state activity signature to the abnormal signature database comprises: determining corresponding abnormal activity characteristic information based on the similarity threshold, and determining fault information, specifically comprising the following steps:
and sequencing the similarity within the threshold range, taking the abnormal activity characteristic information corresponding to the similarity corresponding to the highest sequenced value as target abnormal activity characteristic information, and determining the corresponding fault behavior based on the target abnormal activity characteristic information.
7. The method for testing the performance of the radio frequency equipment on the earth station rack according to claim 6, wherein the method for constructing the abnormal activity characteristic database comprises the following steps: and determining the abnormal state activity characteristics of the abnormal activity characteristic database according to the abnormal state activity characteristics of the state activity of the radio frequency equipment in the second derivative earth station overhead frame matched with the radio frequency equipment configuration environment in the target earth station overhead frame and the early warning state attribute distribution respectively related to the abnormal state activity characteristics of the state activity of the radio frequency equipment in at least two first derivative overhead frames.
8. The method for testing the performance of the radio frequency equipment on the earth station rack according to claim 7, wherein the method for constructing the abnormal activity feature database specifically comprises:
constructing a global feature association map of the abnormal state activity features of the at least two second derived earth station state activities according to the abnormal state activity features of the at least two second derived earth station state activities;
and constructing the abnormal state activity characteristics of the abnormal activity characteristic database according to the abnormal state activity characteristics of at least two second derivative earth station state activities, the global characteristic association map and the early warning state attribute distribution respectively related to the abnormal state activity characteristics of at least two first derivative earth station state activities.
9. A performance testing device for radio frequency equipment in an earth station overhead is characterized by comprising:
the data acquisition module is used for acquiring frequency spectrum characteristic information in a plurality of time periods in the equipment to be tested;
the first comparison module is used for comparing the characteristic information in the adjacent time periods to obtain a characteristic difference value, and comparing the characteristic difference value with a preset difference threshold value to obtain a comparison result to determine that the equipment to be tested has a fault;
the fault information determining module is used for comparing the characteristic information in the later time period in the adjacent time points with a preset abnormal characteristic database to obtain fault information;
and the second comparison module is used for comparing the fault information with a preset fault-phenomenon relation library and determining corresponding phenomenon information based on the fault information.
10. The device for testing the performance of the radio frequency equipment in the earth station overhead according to claim 9, wherein the first comparison module is further provided with an abnormal feature database construction sub-module for constructing a database containing abnormal feature data.
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