CN117135662A - Fault detection method and device for equipment and storage medium - Google Patents
Fault detection method and device for equipment and storage medium Download PDFInfo
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Abstract
The application provides a fault detection method, equipment and a storage medium of equipment, wherein when detecting that DTU equipment has communication abnormality, the method simulates and completes transmission service of the DTU equipment to be detected through a simulation processing module based on service parameters; and acquiring network quality parameters when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected. By the mode, when the communication abnormality of the DTU equipment is detected, the transmission service of the DTU equipment to be detected is simulated and completed through the simulation processing module, so that the problem that the actual DTU equipment fails and is inconvenient to perform fault detection when the transmission service is completed is solved, and the fault type of the DTU equipment to be detected is determined based on the network quality parameters when the simulation processing module completes the transmission service.
Description
Technical Field
The present application relates to the field of 5G communications, and in particular, to a method and apparatus for detecting a fault of a device, and a computer readable storage medium.
Background
In recent years, the development of the technology and the business of ultra-high voltage, new energy, distributed energy, charging piles, intelligent meter reading and the like in the electric power field are rapid, and the technology and the business of the business are rapid, and the technology and the business of the business have higher requirements on an electric power communication control network. The traditional differential protection service intelligent power grid DTU (Data Transfer unit, data transmission unit) adopts connection modes such as local area network, wire and the like for data interaction, and the 5G network deployment mode is considered in the power grid industry. Taking differential protection as an example, when an equipment manufacturer or an operator verifies a network or version test, it is very difficult for the outfield test to coordinate the DTUs of smart grids of different manufacturers, because the DTU equipment of each manufacturer is a black box device, when communication abnormality occurs on site, and under the condition that no outfield network abnormality analysis professional tool is matched, whether the problem of the DTU equipment is precisely delimited or the problem occurs in a 5G wireless network cannot be precisely delimited, so that the fault detection efficiency of the DTU equipment is low.
Disclosure of Invention
The application mainly aims to provide a fault detection method and equipment for equipment and a computer readable storage medium, and aims to solve the technical problem that the fault detection efficiency of the existing DTU equipment is low.
In order to achieve the above purpose, the present application provides a method for detecting a failure of a device, where when detecting that a data transmission unit DTU device has a communication abnormality, the method obtains service parameters of the DTU device to be detected through a comprehensive service management module, where the DTU device to be detected is the DTU device having the communication abnormality; configuring a preset processing module based on the service parameters to generate an analog processing module, and simulating the transmission service of the DTU equipment to be detected through the analog processing module; and acquiring network quality parameters of the simulation processing module when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected based on the network quality parameters.
In addition, in order to achieve the above object, the present application also provides a fault detection device of a device, which includes a processor, a memory, and a fault detection program of the device stored on the memory and executable by the processor, wherein the fault detection program of the device, when executed by the processor, implements the steps of the fault detection method of the device as described above.
In addition, in order to achieve the above object, the present application also provides a computer-readable storage medium having stored thereon a failure detection program of a device, wherein the failure detection program of the device, when executed by a processor, implements the steps of the failure detection method of the device as described above.
The application provides a fault detection method of equipment, which comprises the steps of obtaining service parameters of DTU equipment to be detected through a comprehensive service management module when communication abnormality of the DTU equipment of a data transmission unit is detected, wherein the DTU equipment to be detected is the DTU equipment with the communication abnormality; configuring a preset processing module based on the service parameters to generate an analog processing module, and simulating the transmission service of the DTU equipment to be detected through the analog processing module; and acquiring network quality parameters of the simulation processing module when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected based on the network quality parameters. By the mode, when the communication abnormality of the DTU equipment is detected, the transmission service of the DTU equipment to be detected is simulated and completed through the simulation processing module, so that the problem that the actual DTU equipment fails and is inconvenient to perform fault detection when the transmission service is completed is solved, and the fault type of the DTU equipment to be detected is determined based on the network quality parameters when the simulation processing module completes the transmission service.
Drawings
Fig. 1 is a schematic hardware structure of a fault detection device of a device according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a first embodiment of a fault detection method of the device of the present application;
FIG. 3 is a flow chart of a second embodiment of a fault detection method of the apparatus of the present application;
FIG. 4 is a flow chart of a third embodiment of a fault detection method of the apparatus of the present application;
FIG. 5 is a flow chart of a fourth embodiment of a fault detection method of the apparatus of the present application;
the achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The fault detection method of the equipment according to the embodiment of the application is mainly applied to the fault detection equipment of the equipment, and the fault detection generation equipment can be equipment with display and processing functions such as a PC (personal computer), a portable computer, a mobile terminal and the like.
Referring to fig. 1, fig. 1 is a schematic hardware configuration diagram of a fault detection device of a device according to an embodiment of the present application. In an embodiment of the present application, the fault detection device of the device may include a processor 1001 (e.g., CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communications between these components; the user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface); the memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory, and the memory 1005 may alternatively be a storage device independent of the processor 1001.
Those skilled in the art will appreciate that the hardware architecture shown in fig. 1 does not constitute a limitation of the fault detection device of the device, and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
With continued reference to fig. 1, the memory 1005 in fig. 1, which is a computer-readable storage medium, may include an operating system, a network communication module, and a fault detection program for the device.
In fig. 1, the network communication module is mainly used for connecting with a server and performing data communication with the server; and the processor 1001 may call a fault detection program of the device stored in the memory 1005 and execute the fault detection method of the device provided by the embodiment of the present application.
The embodiment of the application provides a fault detection method of equipment.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a fault detection method of the apparatus of the present application.
In this embodiment, the fault detection method of the device includes the following steps:
step S10, when detecting that the data transmission unit DTU equipment has abnormal communication, acquiring service parameters of the DTU equipment to be detected through a comprehensive service management module, wherein the DTU equipment to be detected is the DTU equipment with abnormal communication;
in this embodiment, when a communication abnormality occurs in a DTU device on site, the number of DTU devices that transmit the communication abnormality is determined, and when the number is not less than two, the positional relationship between the DTU devices that have the communication abnormality is determined. The fault detection equipment of the equipment is internally provided with a real service data set of the DTU equipment, and a smart grid protocol conforming to the standard IE61850 is realized through software, and the comprehensive service management module can acquire the service parameters of the DTU equipment to be detected so as to meet the real working condition of simulating the communication abnormality of the DTU equipment.
The DTU equipment is generally arranged at a conventional switching station (station), an outdoor small-sized switching station, a ring main unit, a small-sized transformer station, a box-type transformer station and the like, and is used for collecting and calculating position signals, voltage, current, active power, reactive power, power factors, electric energy and other data of the switching equipment, performing opening and closing operation on the switch, and realizing fault identification, isolation and power supply restoration of a feeder switch in a non-fault interval. When the DTU equipment to be detected is abnormal in communication, a tripping instruction sent by a previous-stage transformer substation may occur, and a next-stage transformer substation cannot timely receive the tripping instruction and cannot timely trip, so that large-area power faults or economic losses are caused, and therefore the DTU equipment is of great importance to the field of modern intelligent power grids.
Specifically, the fault detection device of the device comprises an FPGA (Field Programmable Gate Array ), a GPS (Global Positioning System, global positioning system) clock synchronization module, a gigabit network port or a 5G terminal connected with a USB interface in an extending manner, and the like.
Step S20, configuring a preset processing module based on the service parameters to generate a simulation processing module, and simulating and completing the transmission service of the DTU equipment to be detected through the simulation processing module;
specifically, the integrated service management module determines a communication protocol of a preset processing module, such as a Goose protocol and a Sv protocol, according to a protocol selected by the DTU device to be detected; after the communication protocol is consistent with the communication protocol of the to-be-detected DTU equipment, configuring a preset processing module and generating the simulation processing module based on the service parameters of the to-be-detected DTU equipment acquired by the comprehensive service management module in the step S10; and the simulation processing module simulates and completes the transmission service of the DTU equipment to be detected based on the service parameters and the communication protocol.
Step S30, obtaining network quality parameters of the simulation processing module when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected based on the network quality parameters;
in this embodiment, the integrated service management module obtains the network quality parameters, compares each parameter in the network quality parameters with a corresponding index threshold, and determines a cause of the communication abnormality of the DTU device to be detected according to a magnitude relation between each parameter in the network quality parameters and the corresponding index threshold, where the network quality parameters include the network jitter rate, the data packet loss rate and the data disorder rate.
The application provides a fault detection method of equipment, which comprises the steps of obtaining service parameters of DTU equipment to be detected through a comprehensive service management module when communication abnormality of the DTU equipment of a data transmission unit is detected, wherein the DTU equipment to be detected is the DTU equipment with the communication abnormality; configuring a preset processing module based on the service parameters to generate an analog processing module, and simulating the transmission service of the DTU equipment to be detected through the analog processing module; and acquiring network quality parameters of the simulation processing module when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected based on the network quality parameters. By the mode, when the communication abnormality of the DTU equipment is detected, the transmission service of the DTU equipment to be detected is simulated and completed through the simulation processing module, so that the problem that the actual DTU equipment fails and is inconvenient to perform fault detection when the transmission service is completed is solved, and the fault type of the DTU equipment to be detected is determined based on the network quality parameters when the simulation processing module completes the transmission service.
Referring to fig. 3, fig. 3 is a schematic flow chart of a second embodiment of a fault detection method of the apparatus of the present application.
Based on the embodiment shown in fig. 2, in this embodiment, the step S20 specifically includes:
step S21, determining differential service transmission protocols of the first processing module and the second processing module based on the differential service transmission protocol of the DTU equipment to be detected;
step S22, the first simulation processing module sends test data to the 5G terminal based on the differential service transmission protocol, and the second simulation processing module receives the test data returned by the 5G terminal based on the differential service transmission protocol so as to simulate and complete the transmission service of the DTU equipment to be detected.
In this embodiment, when at least two DTU devices to be detected have a communication abnormality, the two DTU devices to be detected are respectively simulated by two simulation processing modules, the preset end is a 5G terminal, and the simulation processing modules include a first processing module and a second processing module; the preset processing module determines the differential service transmission protocol of the analog processing module based on the differential service transmission protocol of the DTU equipment to be detected through the comprehensive service management module; the differential service transmission protocol includes a Goose protocol and an SV protocol.
In a specific embodiment, the Sv protocol of the power grid DTU is a communication service for transmitting digital sampling information in real time. The DTU device performs high-frequency sampling on electronic current or voltage in the transformer substation, encapsulates sampling data into SV messages, and performs data transmission among local area networks, so that data interconnection among the transformer substations is ensured.
Generic object oriented substation event (Goose-Generic Object Oriented Substation Event) is a mechanism in the IEC 61850 standard for meeting the fast messaging requirements of substation automation systems. The method is mainly used for realizing information transfer among multiple IEDs, comprises the step of transmitting tripping and closing signals (commands), and has high probability of successful transmission. The reliable transmission of real-time information such as switch positions, locking signals, tripping commands and the like is realized based on the Goose network transmission instead of the traditional hard wire. The method is equivalent to a traditional protection open-close loop, and the reliability, the instantaneity and the safety performance of the method applied at a process layer meet the requirements of relay protection, and mainly depend on the communication processing capacity of each intelligent device and the networking scheme of a Goose network.
Sv protocol characteristics: the data interval samples and sends packets, the highest data interval can reach 2000 packets/second, and the transmission interval between the packets is consistent.
Goose protocol features: only 4 layers in the international organization for standardization open systems interconnection (ISO/OSI) are used, the purpose of which is to improve reliability and reduce transmission delay. Ieee802.1q applications. In the data link layer, the Goose adopts IEEE802.1Q and IEEE802.1P protocols, thereby ensuring the preferential transmission of the Goose message and improving the security of the Goose network.
The equipment manufacturer 5G wireless network infield version test adopts a simulation ping tool to simulate a DTU scene, the scene is single, and the real scene cannot be truly and completely simulated; each software has no real service test support, the instrument can only approximate the simulation service according to the service model, cannot replace the real power grid protocol, and cannot reflect the real transmission service. The real service data can be transmitted through the Goose protocol and the Sv protocol, so that the differential service transmission of the DTU equipment to be detected can be realized through the real simulation of the simulation processing module.
Based on the embodiment shown in fig. 3, in this embodiment, the step S30 specifically includes:
acquiring the sending time of the first processing module for sending the test data and the receiving time of the second processing module for receiving the test data;
calculating the network jitter rate according to the sending time and the receiving time;
and determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset jitter rate threshold and the network jitter rate.
Further, comparing a preset jitter rate threshold with the network jitter rate, if the network jitter rate is greater than the preset jitter rate threshold, determining that the fault type of the to-be-detected DTU equipment is a network fault type, and if the network jitter rate is not greater than the preset jitter rate threshold, determining that the fault type of the to-be-detected DTU equipment is an equipment fault type.
In this embodiment, the network quality parameter includes a network jitter rate, the simulation processes of the first processing module and the second processing module are started, the transmitting end of the first processing module selects test data stored on the device, embeds UTC time at a transmitting time, encapsulates the test data into a DTU protocol, and then transmits the DTU protocol to the network through the 5G terminal, and the receiving end of the second processing module unpacks the test data of the DTU protocol, records unpacked UTC time, and can calculate delay and jitter of the network through the transmitting and receiving time, and calculate the network jitter rate according to the delay of the network. The data packet network transmission index software can be customized and is richer than the data displayed by the real DTU equipment.
In a specific embodiment, in a traditional power grid, the DTU device displays test data statistics through an LED liquid crystal display of a device panel, and only the segment delay statistics of the data packet. The problems of packet loss, disorder, overtime and the like occur, and only analysis can be carried out from a network side, so that the real transmission process of the DTU equipment when the problems occur cannot be flexibly simulated.
The network jitter rate is the variation of network delay, which is generated by any two adjacent data packets of the same application passing through network delay in the transmission route, and is obtained by dividing the delay time of the adjacent data packets by the sequence number difference of the data packets, and the specific calculation steps are as follows:
calculating the end-to-end delay, which is the difference between the receiving time and the sending time of the data packet, the time of the receiving end node receiving the data packet minus the time of the sending end node sending the data packet, which is the end-to-end delay, namely:
end-to-end delay = reception time of data packet-transmission time of data packet;
network jitter rate= (delay of packet m-delay of packet n)/(sequence number m of packet m-sequence number n of packet n).
In embedded systems, a reduced problem system is typically used, and the system defaults to UTC time, i.e., 0 time zone.
In a specific embodiment, the network jitter rate is calculated by simulating the sending time and the receiving time in the process of transmitting the service through the simulation processing module, and the reason of communication abnormality of the DTU equipment to be detected is determined by presetting the relation between the jitter rate threshold and the network jitter rate, so that the problem of communication abnormality of the DTU equipment to be detected is accurately positioned.
Based on the embodiment shown in fig. 3, in this embodiment, the steps of the fault detection method of the device further include:
and when at least two DTU devices to be detected exist, determining at least two simulation processing modules based on the position relation of the at least two DTU devices to be detected, wherein the position relation comprises a same-station position relation or a different-station position relation.
In the embodiment, a GPS module or a clock synchronization module is added to realize communication and test between the cross-station intelligent power grid DTUs. On two devices at different places, the GPS clock synchronization ensures strict clock synchronization, thereby ensuring the accuracy of test delay data. The two devices respectively run DTU receiving and transmitting protocol programs to test data, namely a first processing module, a 5G terminal, a 5G network, a 5G terminal and a data transmission flow of a second processing module, and simulate the DTU cross-station scene test requirement.
Further, the simulation processing module simulates the DTU equipment to be detected to be embodied in a software process mode, and in order to achieve the real service sending characteristic that the DTU equipment to be detected is strictly spaced by 2000 packets/second, one simulation DTU software process monopolizes one CPU processing core to ensure real-time scheduling of transmission service. If the CPU has 12 processing cores, 12 DTU devices to be detected can be simulated, and in the actual test, if more DTU simulation tests are needed, the simulation tests can be realized in a stacking mode.
The GPS clock is a basic time service application product developed based on the latest GPS high-precision positioning time service module, and can output a time information format conforming to a protocol according to the requirement of a user, so that synchronous time service is completed. The GPS clock is mainly divided into two types, one type is a GPS time service instrument, and the GPS clock mainly outputs time scale information, including 1PPS+TOD (1Pulseper Second+Time of Day, pulse per second+time of day) information; the other is a GPS synchronous clock which outputs highly stable frequency information obtained by disciplining an OCXO (Oven Controlled Crystal Oscillator, constant temperature crystal oscillator) or rubidium clock with a satellite signal, and a more stable time scale signal recovered locally.
In a specific embodiment, when at least two to-be-detected DTU devices exist, acquiring a positional relationship between the at least two to-be-detected DTU devices, where the positional relationship includes a co-station positional relationship and an inter-station positional relationship. When the position relationship is the same-station position relationship, the transmission service of the DTU equipment to be detected can be simulated through a plurality of processing modules in fault detection equipment of one equipment, and at the moment, the built-in clocks of the plurality of processing modules are the same built-in clock, namely, a GPS module or a clock synchronization module is not required to be additionally added; when the position relationship is the inter-station position relationship, the transmission service of the to-be-detected DTU device is simulated through a plurality of processing modules of the fault detection devices belonging to a plurality of devices, and the built-in clocks of the fault detection devices of the plurality of devices are different, so that the accuracy of acquiring the network quality parameters in the simulation process is ensured, and therefore, a GPS module or a clock synchronization module is required to be added, so that the accuracy of completing the transmission service of the to-be-detected DTU device through the simulation of the processing modules is improved.
Based on the embodiment shown in fig. 3, in this embodiment, the step S30 specifically further includes:
calculating the data packet loss rate based on the test data sent by the first processing module and the test data received by the second processing module;
and determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset packet loss rate threshold and the data packet loss rate.
In a specific embodiment, comparing a preset packet loss rate threshold with the data packet loss rate, if the data packet loss rate is greater than the preset packet loss rate threshold, determining that the fault type of the DTU device to be detected is a network fault type, and if the data packet loss rate is not greater than the preset packet loss rate threshold, determining that the fault type of the DTU device to be detected is a device fault type.
In a specific embodiment, the data packet loss rate refers to the ratio of the number of lost data packets in the test to the transmitted data set. The calculation method is as follows: [ (input message-output message)/input message ]. 100%. The packet loss rate is related to the test data length and the data transmission frequency.
The method is applied to the fault detection equipment of the equipment, and according to the DTU Goose protocol and the Sv protocol of the smart grid, the duration of data transmission, the frequency of data transmission, the number of sampling points and the length of test data can be parameterized and customized so as to flexibly simulate the DTU equipment of different manufacturers.
In a specific embodiment, the fault detection method of the device compares the test data sent by the first processing module with the test data received by the second processing module, calculates to obtain the data packet loss rate, and compares a preset packet loss rate threshold with the data packet loss rate to judge whether the network is abnormal or not, so that the fault type of the DTU device to be detected can be accurately located.
Referring to fig. 4, fig. 4 is a schematic flow chart of a third embodiment of a fault detection method of the apparatus of the present application.
Based on the embodiment shown in fig. 3, in this embodiment, the step S30 specifically further includes:
step S31, calculating the data disorder rate based on the test data sent by the first processing module and the test data received by the second processing module;
and step S32, determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset disorder rate threshold and the data disorder rate.
In this embodiment, the data disorder rate refers to a ratio of different message sequences in the test data received by the receiving end and the test data sent by the sending end in a data sending process. In the data transmission process, because the network is unstable, before the data sent first is received, the data sent later is received, and the data with different sending and receiving orders are recorded as disordered data.
Referring to fig. 5, fig. 5 is a schematic flow chart of a fourth embodiment of a fault detection method of the apparatus of the present application.
Based on the embodiment shown in fig. 4, in this embodiment, the step S32 specifically further includes:
step S33, if the data disorder rate is greater than a preset disorder rate threshold, determining that the fault type of the DTU equipment to be detected is the network fault type;
and step S34, if the data disorder rate is not greater than the disorder rate threshold, determining that the fault type of the DTU equipment to be detected is the equipment fault type.
In this embodiment, the data disorder rate refers to a ratio of different message sequences in the test data received by the receiving end and the test data sent by the sending end in a data sending process.
In a specific embodiment, comparing a preset disorder rate threshold with the data disorder rate, if the data disorder rate is greater than the preset disorder rate threshold, the simulation processing module sends a failure type of communication abnormality to be the network failure type when the transmission service is simulated, and judges that the failure type of the communication abnormality of the DTU device to be detected is the network failure type; if the data disorder rate is not greater than the disorder rate threshold, the simulation processing module sends a fault type of communication abnormality to be the equipment fault type when the transmission service is simulated, and accordingly judges that the fault type of the communication abnormality of the DTU equipment to be detected is the equipment fault type.
Further, the fault detection method of the equipment compares the test data sent by the first processing module with the test data received by the second processing module to calculate the data disorder rate, and compares a preset disorder rate threshold with the data disorder rate to judge whether the network is abnormal or not, so that the reason of communication abnormality of the DTU equipment to be detected can be accurately located.
Based on any of the above embodiments, after the test is finished, the fault detection device of the device may output a service statistics index, a network statistics index, a process signaling of the 5G terminal, and a moving path of the test data in the test process, where all data is uploaded to the cloud, and the service parameters include a transmission interval, a transmission frequency, a data size, a communication protocol selection, and/or a service test time.
In this embodiment, the processing unit sends the data generated in the simulation process to the cloud end in the process of completing the transmission service in a simulation manner, and related staff can call the data generated in the simulation process when needed, which is different from the traditional DTU device, only can display limited data in a liquid crystal display screen, so that the accuracy of locating the fault type is improved when the DTU device to be detected is abnormal in communication, and the fault detection device of the device is small in size and easy to carry.
Further, the whole fault detection flow of the device in the application is as follows:
when the communication abnormality of the DTU equipment is detected, determining the number of the DTU equipment with the communication abnormality, and judging the position relationship of the DTU equipment with the communication abnormality when the number is not less than two;
and acquiring the service parameters of the DTU equipment to be detected through the comprehensive service management module, configuring the service parameters to a preset processing module through the comprehensive service management module, generating the simulation processing module, and simulating and completing the transmission service of the DTU equipment to be detected based on the differential service transmission protocol through the simulation processing module.
The simulation processing module obtains the network jitter rate by calculating the time of the first processing module for sending the test data and the time of the second processing module for receiving the test data in the simulation process; the data packet loss rate and the data disorder rate are obtained by comparing the test data sent by the first processing module with the test data received by the second processing module; and determining the fault type of the DTU equipment to be detected through comparison of a preset jitter rate threshold and the network jitter rate, comparison of a preset packet loss rate threshold and the data packet loss rate and comparison of a preset disorder rate threshold and the data disorder rate.
If the network jitter rate is greater than the preset jitter rate threshold, determining that the fault type of the DTU equipment to be detected is a network fault type;
and if the network jitter rate is not greater than the preset jitter rate threshold, determining that the fault type of the DTU equipment to be detected is an equipment fault type.
If the data packet loss rate is larger than the preset packet loss rate threshold value, determining that the fault type of the DTU equipment to be detected is a network fault type;
and if the data packet loss rate is not greater than the preset packet loss rate threshold, determining that the fault type of the DTU equipment to be detected is the equipment fault type.
If the data disorder rate is larger than the preset disorder rate threshold value, determining that the fault type of the DTU equipment to be detected is a network fault type;
and if the data disorder rate is not greater than the preset disorder rate threshold, determining that the fault type of the DTU equipment to be detected is the equipment fault type.
According to the magnitude relation between different preset index thresholds and the corresponding network quality parameters, the fault type can be a single network fault type or a single equipment fault type, or two fault types exist.
In addition, the embodiment of the application also provides a computer readable storage medium.
The computer readable storage medium of the present application stores a fault detection program of a device, wherein the fault detection program of the device, when executed by a processor, implements the steps of the fault detection method of the device as described above.
The method implemented when the fault detection program of the device is executed may refer to various embodiments of the fault detection method of the device of the present application, which are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The application is operational with numerous general purpose or special purpose computer system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like. The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A fault detection method of an apparatus, characterized in that the fault detection method of the apparatus comprises the steps of:
when detecting that the data transmission unit DTU equipment is abnormal in communication, acquiring service parameters of the DTU equipment to be detected through a comprehensive service management module, wherein the DTU equipment to be detected is the DTU equipment with abnormal communication;
configuring a preset processing module based on the service parameters to generate an analog processing module, and simulating the transmission service of the DTU equipment to be detected through the analog processing module;
and acquiring network quality parameters of the simulation processing module when the transmission service is simulated, and determining the fault type of the DTU equipment to be detected based on the network quality parameters.
2. The method for detecting the fault of the equipment according to claim 1, wherein the preset terminal is a 5G terminal, the analog processing module includes a first processing module and a second processing module, and the performing, by the analog processing module, the transmission service of the DTU equipment to be detected includes:
determining differential service transmission protocols of the first processing module and the second processing module based on the differential service transmission protocol of the DTU equipment to be detected;
and sending test data to the 5G terminal based on the differential service transmission protocol through the first simulation processing module, and receiving the test data returned by the 5G terminal based on the differential service transmission protocol through the second simulation processing module so as to simulate and complete the transmission service of the DTU equipment to be detected.
3. The method for detecting a fault of a device according to claim 2, wherein the network quality parameter includes a network jitter rate, and the obtaining the network quality parameter of the analog processing module when the transmission service is analog is completed, and determining the fault type of the DTU device to be detected based on the network quality parameter includes:
acquiring the sending time of the first processing module for sending the test data and the receiving time of the second processing module for receiving the test data;
calculating the network jitter rate according to the sending time and the receiving time;
and determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset jitter rate threshold and the network jitter rate.
4. The method for detecting a fault of a device according to claim 2, wherein the network quality parameter includes a packet loss rate, and the obtaining the network quality parameter of the analog processing module when the transmission service is completed is performed in an analog manner, and determining the fault type of the DTU device to be detected based on the network quality parameter includes:
calculating the data packet loss rate based on the test data sent by the first processing module and the test data received by the second processing module;
and determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset packet loss rate threshold and the data packet loss rate.
5. The method for detecting a fault in a device as claimed in claim 2, wherein the network quality parameter includes a data disorder rate, the obtaining the network quality parameter of the analog processing module when the transmission service is analog, and determining the fault type of the DTU device to be detected based on the network quality parameter, further includes:
calculating the data disorder rate based on the test data sent by the first processing module and the test data received by the second processing module;
and determining that the fault type of the DTU equipment to be detected is a network fault type or an equipment fault type based on the magnitude relation between a preset disorder rate threshold and the data disorder rate.
6. The method for detecting a fault of a device as claimed in claim 5, wherein the determining that the fault type of the DTU device to be detected is a network fault type or a device fault type based on a magnitude relation between a preset disorder rate threshold and the data disorder rate includes:
if the data disorder rate is larger than a preset disorder rate threshold, determining that the fault type of the DTU equipment to be detected is the network fault type;
and if the data disorder rate is not greater than the disorder rate threshold, determining that the fault type of the DTU equipment to be detected is the equipment fault type.
7. The method for detecting a fault of a device according to claim 1, wherein the configuring the preset analog processing module based on the service parameter, and before the performing the simulation of the transmission service of the DTU device to be detected by the configured preset analog processing module, further comprises:
and when at least two DTU devices to be detected exist, determining at least two simulation processing modules based on the position relation of the at least two DTU devices to be detected, wherein the position relation comprises a same-station position relation or a different-station position relation.
8. The method for detecting a failure of an apparatus according to any of claims 1-7, characterized in that the traffic parameters comprise transmission interval, transmission frequency, data size, communication protocol selection and/or traffic test time.
9. A fault detection device of a device, characterized in that the fault detection device of a device comprises a processor, a memory, and a fault detection program of a device stored on the memory and executable by the processor, wherein the fault detection program of a device, when executed by the processor, implements the steps of the fault detection method of a device according to any of claims 1 to 8.
10. A computer-readable storage medium, on which a failure detection program of a device is stored, wherein the failure detection program of the device, when executed by a processor, implements the steps of the failure detection method of a device according to any one of claims 1 to 8.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210549526.XA CN117135662A (en) | 2022-05-20 | 2022-05-20 | Fault detection method and device for equipment and storage medium |
| PCT/CN2023/072487 WO2023221547A1 (en) | 2022-05-20 | 2023-01-17 | Device fault detection method and device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210549526.XA CN117135662A (en) | 2022-05-20 | 2022-05-20 | Fault detection method and device for equipment and storage medium |
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| CN117135662A true CN117135662A (en) | 2023-11-28 |
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| CN202210549526.XA Pending CN117135662A (en) | 2022-05-20 | 2022-05-20 | Fault detection method and device for equipment and storage medium |
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| Country | Link |
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| WO (1) | WO2023221547A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117424658B (en) * | 2023-12-18 | 2024-06-21 | 云南云电信息通信股份有限公司 | Phased array antenna fault detection system |
| CN117955243B (en) * | 2024-03-21 | 2024-06-07 | 新缆集团有限公司 | Intelligent remote monitoring method for ring main unit |
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| CN108923957B (en) * | 2018-06-14 | 2021-07-06 | 深圳深宝电器仪表有限公司 | Distribution network terminal DTU fault elimination method and device and terminal equipment |
| CN110380907B (en) * | 2019-07-26 | 2021-09-24 | 京信网络系统股份有限公司 | Network fault diagnosis method and device, network equipment and storage medium |
| CN112834850A (en) * | 2021-01-06 | 2021-05-25 | 长沙民政职业技术学院 | Electrical automation equipment fault detection system, method, terminal and storage medium |
| CN113873560A (en) * | 2021-09-29 | 2021-12-31 | 中国电信股份有限公司 | Network fault processing method and device |
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