CN116436823B - State monitoring method of intelligent network card and related equipment - Google Patents
State monitoring method of intelligent network card and related equipment Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 38
- 230000002159 abnormal effect Effects 0.000 claims abstract description 76
- 230000005856 abnormality Effects 0.000 claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000013507 mapping Methods 0.000 claims description 71
- 230000006870 function Effects 0.000 claims description 23
- 238000011156 evaluation Methods 0.000 claims description 21
- 238000004590 computer program Methods 0.000 claims description 13
- 238000005457 optimization Methods 0.000 claims description 12
- 238000012806 monitoring device Methods 0.000 claims description 7
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- 230000008439 repair process Effects 0.000 description 3
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application discloses a state monitoring method of an intelligent network card and related equipment, which are applied to an intelligent network card monitoring system, wherein the method comprises the following steps: when the intelligent network card operates, acquiring target state information of the intelligent network card reported by a register of the intelligent network card; performing anomaly detection on the intelligent network card according to the target state information; when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information; and carrying out early warning operation according to the target abnormal information. The application can accurately detect the abnormality of the intelligent network card.
Description
Technical Field
The application relates to the technical field of intelligent network cards, in particular to a state monitoring method of an intelligent network card and related equipment.
Background
In practical application, the running state of the intelligent network card is usually monitored by using heartbeat messages, namely, specific protocol messages sent by two ends of the network port at intervals of fixed time, and no heartbeat messages are received beyond the fixed time, namely, the state of the intelligent network card is considered to be abnormal,
the network card abnormality can be judged only when the heartbeat message is not detected, and certainly, the abnormality can not be accurately detected, so that the problem of how to accurately detect the abnormality of the intelligent network card is urgently solved.
Disclosure of Invention
The application provides a state monitoring method of an intelligent network card and related equipment, which can accurately detect abnormality of the intelligent network card.
In a first aspect, the present application provides a method for monitoring a state of an intelligent network card, which is applied to an intelligent network card monitoring system, and the method includes:
when the intelligent network card operates, acquiring target state information of the intelligent network card reported by a register of the intelligent network card;
performing anomaly detection on the intelligent network card according to the target state information;
when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information;
and carrying out early warning operation according to the target abnormal information.
In a second aspect, the present application provides a state monitoring device of an intelligent network card, applied to an intelligent network card monitoring system, the device comprising: an acquisition unit, a detection unit, a determination unit and an early warning unit, wherein,
the acquisition unit is used for acquiring target state information of the intelligent network card, which is reported by a register of the intelligent network card, when the intelligent network card operates;
the detection unit is used for carrying out anomaly detection on the intelligent network card according to the target state information;
The determining unit is used for determining target abnormal information corresponding to the target state information when the intelligent network card is abnormal;
and the early warning unit is used for carrying out early warning operation according to the target abnormal information.
In a third aspect, the present application provides an electronic device comprising a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the first aspect of the present application, the electronic device comprising an intelligent network card monitoring system.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute some or all of the steps as described in the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps described in the first aspect of the application. The computer program product may be a software installation package.
The implementation of the application has the following beneficial effects:
it can be seen that the state monitoring method and the related device of the intelligent network card described in the application are applied to an intelligent network card monitoring system, when the intelligent network card operates, the target state information of the intelligent network card reported by the register of the intelligent network card is obtained, the intelligent network card is subjected to abnormality detection according to the target state information, when the intelligent network card is abnormal, the target abnormality information corresponding to the target state information is determined, the early warning operation is performed according to the target abnormality information, whether the intelligent network card is abnormal or not can be identified based on the state information of the intelligent network card, and when the intelligent network card is abnormal, the corresponding abnormality information is determined to provide the corresponding early warning operation, so that the intelligent network card can be accurately detected, the abnormality can be repaired in time, and the working efficiency of the intelligent network card is ensured.
Furthermore, through interaction of the intelligent network card monitoring system and the intelligent network card, network card flow is guaranteed to be used for user communication to the greatest extent, intelligent network card state information can be monitored accurately in real time, online monitoring can be performed when the intelligent network card is abnormal in the operation process, the cause of the occurrence of the problem is judged, and intervention is performed timely; the intelligent network card can be conveniently operated when the operating state is switched and the working mode is changed, so that the intelligent network card is more convenient to use and deploy.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a state monitoring system of an intelligent network card according to the present application;
FIG. 2 is a schematic flow chart of a method for monitoring the status of an intelligent network card;
FIG. 3 is a schematic diagram of another embodiment of a state monitoring system for an intelligent network card according to the present application;
FIG. 4 is a schematic illustration of status information provided by the present application;
FIG. 5 is a flowchart of another method for monitoring the status of an intelligent network card according to the present application;
fig. 6 is a schematic structural diagram of an electronic device according to the present application;
fig. 7 is a functional unit composition block diagram of a state monitoring device of an intelligent network card.
Detailed Description
In order that the manner in which the application may be better understood, a more particular description of the application will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The electronic device according to the present application may be any electronic device including an intelligent network card monitoring system, where the electronic device may include, but is not limited to: smart cards, smart phones, tablets, smart robots, smart projectors, routers, switches, conferencing devices, car-mounted devices, wearable devices, servers, networking devices, computing devices, or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), mobile Stations (MSs), terminal devices (terminalservice), etc., without limitation. The electronic device may also include a server.
In the related art, as shown in fig. 1, the running state of the intelligent network card is generally monitored by using a heartbeat message, that is, a specific protocol message sent by two ends of the network port at fixed time intervals. In an exemplary embodiment, the first intelligent network card and the second intelligent network card are taken as an example, the first intelligent network card includes a first port, the second intelligent network card includes a second port, and heartbeat messages can be mutually sent between the first intelligent network card and the second intelligent network card through the first port and the second port.
In practical application, messages of a specific protocol are sent at two ends of two intelligent network cards according to a fixed time interval, and if no heartbeat message is received beyond the fixed time, the network card state is considered to be abnormal. Not only the transmitted heartbeat message occupies network bandwidth, but also when the heartbeat message is not detected, the network card is judged to be abnormal, the technical means for further judging the abnormal phenomenon is lacking, and the running state of the network card cannot be timely judged to be abnormal and intervention is performed. Only the network card equipment can be replaced, and the problem of abnormality is located offline.
In order to solve the defects in the related art, the application provides a state monitoring method of an intelligent network card, which is applied to an intelligent network card monitoring system, and comprises the following steps:
When the intelligent network card operates, acquiring target state information of the intelligent network card reported by a register of the intelligent network card;
performing anomaly detection on the intelligent network card according to the target state information;
when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information;
and carrying out early warning operation according to the target abnormal information.
In practical application, when the intelligent network card operates, a plurality of information is reported by using a register of the intelligent network card, the information of the intelligent network card is read by using a reading program, and the information at different moments is comprehensively judged, so that real-time state tracking is realized, and the operating condition, state or speed of the intelligent network card can be changed in real time by operating the register. Therefore, online state reading, online problem positioning and online state changing are more conveniently carried out, so that real-time monitoring can be carried out on the intelligent network card, abnormal conditions are accurately detected based on state information of the intelligent network card, corresponding early warning operation is carried out, and the working efficiency of the intelligent network card is improved.
The present application will be described in detail below.
Referring to fig. 2, fig. 2 is a flow chart of a state monitoring method of an intelligent network card, provided by the application, applied to an intelligent network card monitoring system, the state monitoring method of the intelligent network card includes:
201. And when the intelligent network card operates, acquiring target state information of the intelligent network card, which is reported by a register of the intelligent network card.
In the application, the intelligent network card can comprise a plurality of registers, each register can be responsible for monitoring the functions of one or more modules, and each register can be used for reporting the state information of one or more modules. The status information of the intelligent network card may include at least one of: the operating current, operating voltage, operating power, operating log, cache contents, memory consumption, operating temperature, etc., are not limited herein.
In the application, when the intelligent network card operates, the target state information of the intelligent network card reported by the register of the intelligent network card can be acquired at intervals of preset time, and the preset time interval can be preset or the system defaults.
In the specific implementation, the register implementation is performed in the intelligent network card, and the state information can be reported in real time by using the register resource.
For example, as shown in fig. 3, the first intelligent network card may include a status summarizing register, and the intelligent network card monitoring system may communicate with the status summarizing register of the first intelligent network card, where the intelligent network card monitoring system may set a real-time status to obtain corresponding status information by using the status summarizing register, and then the status summarizing register completes real-time status report of the corresponding status information.
Optionally, the step 201 of obtaining the target state information of the intelligent network card reported by the register of the intelligent network card may include the following steps:
11. acquiring the appointed function of the intelligent network card;
12. determining a target register corresponding to the specified function;
13. and acquiring target state information of the intelligent network card reported by the target register of the intelligent network card.
In a specific implementation, the designated function may be preset or default, the designated function may be a part of or all of the functions of the intelligent network card, and the designated function may be a hardware function or a software function of the intelligent network card.
According to the application, the appointed function of the intelligent network card can be obtained, different functions correspond to different registers, then the target register corresponding to the appointed function can be determined, and then the target state information of the intelligent network card reported by the target register of the intelligent network card can be obtained, so that the appointed function monitoring of the intelligent network card can be completed, the execution efficiency of the appointed function is ensured, and the working efficiency of the intelligent network card is improved.
202. And carrying out anomaly detection on the intelligent network card according to the target state information.
In the application, the target state information reflects the working condition of the intelligent network card, and the intelligent network card can be detected abnormally according to the target state information, so that whether the intelligent network card works abnormally or not and which places of the intelligent network card have problems are detected.
Optionally, the step 202 of detecting the abnormality of the intelligent network card according to the target state information may include the following steps:
21. extracting keywords from the target state information to obtain target keywords;
22. when the target keyword exists in a preset keyword set, confirming that the intelligent network card is abnormal;
23. and when the target keyword does not exist in the preset keyword set, confirming that the intelligent network card is not abnormal.
In the present application, the keyword may include at least one of: chinese characters, character strings, symbols, patterns, etc., are not limited herein. The preset keyword set may include one or more keywords, and the preset keyword set may be preset or default to the system.
In the specific implementation, the keyword extraction can be performed on the target state information to obtain the target keyword, when the target keyword exists in the preset keyword set, the occurrence of the abnormality of the intelligent network card can be confirmed, and when the target keyword does not exist in the preset keyword set, the occurrence of the abnormality of the intelligent network card is confirmed, so that the abnormality detection can be realized by utilizing the keyword corresponding to the state information, and the abnormality detection efficiency of the intelligent network card is improved.
In the specific implementation, the intelligent network card monitoring system interacts with the intelligent network card, reads the real-time value of the state information, classifies each state information according to different severity degrees, arranges according to signal flow direction, timely interrupts running of serious problem information, stores or displays the information read each time, and can select monitoring summary information or detailed information according to the monitoring level.
203. And when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information.
In the present application, a mapping relationship between preset state information and abnormal information may be preset, and the abnormal information may include at least one of the following: the abnormality position, abnormality level, abnormality time, abnormality cause, and the like are not limited herein, and further, target abnormality information corresponding to the target state information may be determined based on the mapping relation.
Optionally, in the step 203, determining the target abnormal information corresponding to the target state information may include the following steps:
31. intercepting a target field related to the target keyword from the target state information, wherein the target field comprises: a target address and a target state value;
32. Determining a target fault location corresponding to the target address;
33. determining a target fault level corresponding to the target state value;
34. and determining the target abnormal information according to the target fault position and the target fault grade.
In the present application, since the status information may include various monitored information, and the anomaly information is often a partial field corresponding to the keyword, a target field related to the target keyword may be intercepted from the target status information, where the target field includes: the address can reflect the specific fault position, whether the hardware fault or the software fault is identified through the address, and the state value reflects that the abnormality is not serious.
Further, a mapping relationship between the address and the fault location may be preset, and further, a target fault location corresponding to the target address may be determined based on the mapping relationship, and of course, a mapping relationship between a preset state value and a fault level may also be preset, and further, a target fault level corresponding to the target state value may be determined based on the mapping relationship, and then, the target abnormal information may be determined according to the target fault location and the target fault level, so that an abnormal condition of the intelligent network card may be accurately detected based on the state information.
Optionally, the step 33 of determining the target fault level corresponding to the target state value may include the following steps:
s1, acquiring a mapping table corresponding to the target fault position, wherein the mapping table is a mapping relation between a state value and a fault level, the mapping table comprises a software mapping table and/or a hardware mapping table, the software mapping table is a mapping relation between the state value corresponding to a software fault and the fault level, and the hardware mapping table is a mapping relation between the state value corresponding to a hardware fault and the fault level;
s2, acquiring target physical environment parameters and target working environment parameters of the intelligent network card, wherein the target working environment parameters comprise target hardware environment parameters and target software environment parameters;
s3, determining a target hardware environment evaluation value corresponding to the target hardware environment parameter;
s4, determining a target software environment evaluation value corresponding to the target software environment parameter;
s5, determining a first reference state value corresponding to the target hardware environment evaluation value;
s6, determining a second reference state value corresponding to the target software environment evaluation value;
s7, acquiring reference physical environment parameters at a first preset time and acquiring reference software environment parameters at a second preset time;
S8, determining a first difference parameter between the target hardware environment parameter and the reference physical environment parameter;
s9, determining a second difference parameter between the target software environment parameter and the reference software environment parameter;
s10, identifying a fault type according to the first difference parameter and the second difference parameter to obtain a target fault type, wherein the target fault type comprises a software fault type or a hardware fault type;
s11, acquiring a target mapping table corresponding to the target fault type;
s12, determining a first weight and a second weight according to the first difference parameter and the second difference parameter;
s13, carrying out weighting operation according to the first weight, the second weight, the first reference state value and the second reference state value to obtain a third reference state value;
s14, determining a target optimization factor corresponding to the target physical environment parameter;
s15, optimizing the target state value according to the target optimization factor to obtain a reference actual state value;
s16, determining a target reference state value according to the third reference state value and the reference actual state value;
s17, determining the target fault level according to the target mapping table and the target-fixing reference state value.
In the application, different fault positions can correspond to different mapping tables, and further, a mapping table corresponding to a target fault position can be obtained, wherein the mapping table is a mapping relation between a state value and a fault level, the mapping table can comprise a software mapping table and/or a hardware mapping table, the software mapping table is a mapping relation between the state value corresponding to a software fault and the fault level, and the hardware mapping table is a mapping relation between the state value corresponding to a hardware fault and the fault level.
Further, the target physical environment parameter and the target working environment parameter of the intelligent network card at the current moment can be obtained, wherein the target working environment parameter comprises a target hardware environment parameter and a target software environment parameter, and the target physical environment parameter can comprise at least one of the following: ambient temperature, ambient humidity, weather, barometric pressure, etc., are not limited herein. The target hardware environment parameters may include at least one of: the operating current of the hardware, the operating voltage of the hardware, the operating power of the hardware, etc., are not limited herein, and the target software environment parameter may include at least one of the following: network bandwidth, network latency, memory size, network rate, cache rate, etc., are not limited herein.
In a specific implementation, different hardware environment parameters may correspond to different hardware environment evaluation values, that is, a mapping relationship between a preset hardware environment parameter and a hardware environment evaluation value may be preset, a target hardware environment evaluation value corresponding to a target hardware environment parameter may be determined based on the mapping relationship, a mapping relationship between a preset software environment parameter and a software environment evaluation value may be preset, and a target software environment evaluation value corresponding to a target software environment parameter may be determined based on the mapping relationship.
Then, a mapping relation between a preset hardware environment evaluation value and a reference state value may be preset, a first reference state value corresponding to the target hardware environment evaluation value is determined based on the mapping relation, a mapping relation between a reference state value corresponding to the preset software environment evaluation value is preset, and a second reference state value corresponding to the target software environment evaluation value may be determined based on the mapping relation.
Further, the first preset time and the second preset time can be preset or default, the first preset time and the second preset time can be the same or different, the difference between the first preset time and the second preset time is in a preset range, and the preset range can be preset or default. The first preset time can be a certain time before the current time, the second preset time can also be a time between the current times, namely, the reference physical environment parameter of the first preset time can be obtained, the reference software environment parameter of the second preset time is obtained, and the first preset time and the second preset time can be understood as a certain time corresponding to the normal hardware environment or the normal software environment.
Further, a first difference parameter between the target hardware environment parameter and the reference physical environment parameter, and a second difference parameter between the target software environment parameter and the reference software environment parameter may be determined, and if a fault occurs, the working environment of the intelligent network card may be changed accordingly, which is reflected in either the hardware environment or the software environment,
furthermore, the fault type can be identified according to the first difference parameter and the second difference parameter to obtain a target fault type, wherein the target fault type comprises a software fault type or a hardware fault type, in a specific implementation, the first difference parameter can reflect the change degree of a hardware environment, and the second difference parameter can reflect the change degree of the software environment, so that whether the fault is a software fault or a hardware fault or both faults exist can be identified based on the change degree of the first difference parameter and the second difference parameter. I.e. the fault type can be identified by a comparison between the difference parameter and the fault threshold. Of course, the fault threshold may be preset or the system defaults.
In a specific implementation, different fault types correspond to different mapping tables, and further, a target mapping table corresponding to a target fault type may be obtained, where the target mapping table may include one or 2 mapping tables, and the target mapping table may include a hardware mapping table, or the target mapping table may include a software mapping table, or the target mapping table may include a hardware mapping table and a software mapping table. Of course, the first weight and the second weight may be determined according to the first difference parameter and the second difference parameter, for example, the first weight=the first difference parameter/(the first difference parameter+the second difference parameter), and the second weight=the second difference parameter/(the first difference parameter+the second difference parameter).
Then, a weighting operation may be performed according to the first weight, the second weight, the first reference state value and the second reference state value to obtain a third reference state value, where the third reference state value=the first weight, the first reference state value+the second weight, and the second reference state value.
In a specific implementation, a mapping relation between a preset physical environment parameter and an optimization factor may be stored in advance, a value range of the optimization factor may be preset or default, for example, the value range of the optimization factor may be (-0.1 to 0.1), further, a target optimization factor corresponding to the target physical environment parameter may be determined based on the mapping relation, then the target state value may be optimized according to the target optimization factor to obtain a reference actual state value, that is, a reference actual state value= (1+target optimization factor) ×the target state value, then the target reference state value may be determined according to a third reference state value and the reference actual state value, for example, a mean value of the third reference state value and the reference actual state value may be taken to obtain the target reference state value, and a target fault level may be determined according to the target mapping table and the target reference state value, so that the fault is a software fault or a hardware fault in combination of the physical environment, the software environment and the hardware environment may be combined with the physical environment to optimize the current state value, and predict the corresponding state value based on the current physical environment and the software parameter, and accurately identify the fault level based on the two state values and the fault detection type.
204. And carrying out early warning operation according to the target abnormal information.
In the application, the mapping relation between the preset abnormal information and the early warning control parameter can be preset, and the early warning parameter can comprise at least one of the following: the operation guidance, the early warning mode, the early warning level, the information notifying personnel, the hardware replacement prompt and the like are not limited herein, and the early warning mode can comprise at least one of the following: ring alert, voice alert, display alert, light alert, etc., without limitation.
Furthermore, the early warning control parameters corresponding to the target abnormal information can be determined based on the mapping relation to perform early warning operation, so that the abnormal condition of the intelligent network card can be accurately monitored, the corresponding early warning operation can be given, and the working efficiency of the intelligent network card is improved.
In a specific implementation, a specific value can be written into a specific register of the intelligent network card, and a processor of the intelligent network card can adjust the relevant state controlled by the specific register according to the specific value, so that the purpose of changing the running condition, state or speed of the intelligent network card in real time is achieved, the repair of the intelligent network card can be realized, the repair of the intelligent network card is realized to a certain extent, and the work efficiency of the intelligent network card is improved. The specific registers and the specific values are set for different abnormal conditions of the intelligent network card, and the corresponding registers and the corresponding specific values are set for different abnormal conditions, so that the repair efficiency of the intelligent network card is ensured.
Aiming at the problems of insufficient user bandwidth occupation, positioning and control instantaneity and accuracy existing in the related scheme, the application provides a solution for realizing real-time flow nondestructive state reading, tracking, judging and control operation on the intelligent network card through real-time interaction of the intelligent network card and a monitoring system, thereby ensuring that the user flow of the intelligent network card is not lost, being beneficial to immediately finding out the abnormal state of the intelligent network card, accurately judging the abnormal reason and being convenient for large-scale deployment, operation and use of the intelligent network card. And future expandability is provided for large-scale deployment batch monitoring and control of the intelligent network card.
Optionally, the step 204 of performing the early warning operation according to the target abnormality information may include the following steps:
41. determining a first early warning control parameter corresponding to the target fault position;
42. determining a target adjustment parameter corresponding to the target fault level;
43. adjusting the first early warning control parameter according to the target adjustment parameter to obtain a second early warning control parameter;
44. and performing early warning operation according to the second early warning control parameters.
In the application, the mapping relation between the preset fault position and the early warning control parameter can be preset, namely, the early warning control parameter corresponding to different positions can be set, further, the first early warning control parameter corresponding to the target fault position can be determined based on the mapping relation, the mapping relation between the preset fault level and the adjusting parameter can be set, or the adjusting parameter can be used for setting the early warning execution strength of early warning control, or the adjusting parameter can be used for adjusting the early warning execution time, further, the target adjusting parameter corresponding to the target fault level is determined based on the mapping relation, then the first early warning control parameter is adjusted according to the target adjusting parameter, and the second early warning control parameter is obtained, so that the early warning control parameter is more in accordance with the actual condition, and early warning operation is carried out according to the second early warning control parameter, thereby, the accuracy of early warning operation is ensured, the accurate monitoring of the intelligent network card is realized, the abnormality can be timely and accurately solved, and the working efficiency of the intelligent network card is improved.
By way of illustration, in the application, the realization of the register is carried out in the intelligent network card, and the state information is reported in real time by utilizing the register resource. The intelligent network card monitoring system interacts with the intelligent network card, reads the real-time value of the state information, classifies the state information according to different severity degrees, arranges the state information according to signal flow direction, timely interrupts operation of serious problem information, stores or displays the information read each time, and can select monitoring summary information or detailed information according to the monitoring level. As shown in fig. 4, the read or stored information summary (summary information) may include: date, version, whether it is well functioning, etc., without limitation, the detailed information may be, for example, queue status information, each of which may correspond to one or more registers, and each of which may include: the ingress, first processing, second processing, …, egress monitor each register or each function based on a queue manner.
By way of further illustration, when the intelligent network card monitoring system discovers that the running state of the intelligent network card needs to be interfered, or the running mode of the intelligent network card is changed manually due to the change of the requirement, the running configuration and the running state can be changed through interaction between the intelligent network card monitoring system and the intelligent network card register, so that the running mode is changed. As shown in fig. 5, for example, monitor the status of the intelligent network card, detect if serious information is found? If yes, reporting information and immediately modifying configuration, otherwise, continuously monitoring the state of the intelligent network card.
According to the application, through interaction between the monitoring system and the intelligent network card, network card flow is ensured to be used for user communication to the greatest extent, intelligent network card state information can be monitored accurately in real time, online monitoring can be performed when the intelligent network card is abnormal in the operation process, the cause of the occurrence of the problem is judged, and intervention is performed in time; the intelligent network card can be conveniently operated when the operating state is switched and the working mode is changed, so that the intelligent network card is more convenient to use and deploy.
It can be seen that the state monitoring method of the intelligent network card described in the application is applied to an intelligent network card monitoring system, when the intelligent network card operates, the target state information of the intelligent network card reported by the register of the intelligent network card is obtained, the intelligent network card is subjected to abnormality detection according to the target state information, when the intelligent network card is abnormal, the target abnormality information corresponding to the target state information is determined, the early warning operation is performed according to the target abnormality information, whether the intelligent network card is abnormal or not can be identified based on the state information of the intelligent network card, and the corresponding abnormality information is determined to provide the corresponding early warning operation when the intelligent network card is abnormal, so that the intelligent network card can be accurately detected, the abnormality can be repaired in time, and the working efficiency of the intelligent network card is ensured.
In accordance with the above embodiment, referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device provided by the present application, as shown in the fig. 6, the electronic device includes a processor, a memory, a communication interface, and one or more programs, the electronic device includes a smart network card monitoring system, the one or more programs are stored in the memory and configured to be executed by the processor, and in the present application, the programs include instructions for executing the following steps:
when the intelligent network card operates, acquiring target state information of the intelligent network card reported by a register of the intelligent network card;
performing anomaly detection on the intelligent network card according to the target state information;
when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information;
and carrying out early warning operation according to the target abnormal information.
Optionally, in the aspect of performing anomaly detection on the intelligent network card according to the target state information, the program includes instructions for executing the following steps:
extracting keywords from the target state information to obtain target keywords;
when the target keyword exists in a preset keyword set, confirming that the intelligent network card is abnormal;
And when the target keyword does not exist in the preset keyword set, confirming that the intelligent network card is not abnormal.
Optionally, in the determining the target abnormality information corresponding to the target state information, the program includes instructions for:
intercepting a target field related to the target keyword from the target state information, wherein the target field comprises: a target address and a target state value;
determining a target fault location corresponding to the target address;
determining a target fault level corresponding to the target state value;
and determining the target abnormal information according to the target fault position and the target fault grade.
Optionally, in the aspect of performing the early warning operation according to the target abnormality information, the program includes instructions for executing the following steps:
determining a first early warning control parameter corresponding to the target fault position;
determining a target adjustment parameter corresponding to the target fault level;
adjusting the first early warning control parameter according to the target adjustment parameter to obtain a second early warning control parameter;
and performing early warning operation according to the second early warning control parameters.
Optionally, in the aspect of obtaining the target state information of the intelligent network card reported by the register of the intelligent network card, the program includes instructions for executing the following steps:
acquiring the appointed function of the intelligent network card;
determining a target register corresponding to the specified function;
and acquiring target state information of the intelligent network card reported by the target register of the intelligent network card.
It can be seen that the electronic device described in the application comprises an intelligent network card monitoring system, when the intelligent network card operates, the target state information of the intelligent network card reported by the register of the intelligent network card is obtained, the intelligent network card is abnormally detected according to the target state information, when the intelligent network card is abnormal, the target abnormal information corresponding to the target state information is determined, the early warning operation is carried out according to the target abnormal information, whether the intelligent network card is abnormal or not can be identified based on the state information of the intelligent network card, and when the intelligent network card is abnormal, the corresponding abnormal information is determined to provide the corresponding early warning operation, so that the intelligent network card can be accurately abnormally detected, the abnormality can be timely repaired, and the working efficiency of the intelligent network card is ensured.
Fig. 7 is a block diagram showing functional components of a status monitor 700 of an intelligent network card according to the present application. The state monitoring device 700 of the intelligent network card is applied to an intelligent network card monitoring system, and the state monitoring device 700 of the intelligent network card comprises: an acquisition unit 701, a detection unit 702, a determination unit 703 and an early warning unit 704, wherein,
the acquiring unit 701 is configured to acquire target state information of the intelligent network card reported by a register of the intelligent network card when the intelligent network card is running;
the detecting unit 702 is configured to perform anomaly detection on the intelligent network card according to the target state information;
the determining unit 703 is configured to determine, when the intelligent network card is abnormal, target abnormal information corresponding to the target state information;
the early warning unit 704 is configured to perform early warning operation according to the target abnormality information.
Optionally, in the aspect of performing anomaly detection on the intelligent network card according to the target state information, the detection unit 702 is specifically configured to:
extracting keywords from the target state information to obtain target keywords;
when the target keyword exists in a preset keyword set, confirming that the intelligent network card is abnormal;
And when the target keyword does not exist in the preset keyword set, confirming that the intelligent network card is not abnormal.
Optionally, in the aspect of determining the target abnormality information corresponding to the target state information, the determining unit 703 is specifically configured to:
intercepting a target field related to the target keyword from the target state information, wherein the target field comprises: a target address and a target state value;
determining a target fault location corresponding to the target address;
determining a target fault level corresponding to the target state value;
and determining the target abnormal information according to the target fault position and the target fault grade.
Optionally, in the aspect of performing the early warning operation according to the target abnormality information, the early warning unit 704 is specifically configured to:
determining a first early warning control parameter corresponding to the target fault position;
determining a target adjustment parameter corresponding to the target fault level;
adjusting the first early warning control parameter according to the target adjustment parameter to obtain a second early warning control parameter;
and performing early warning operation according to the second early warning control parameters.
Optionally, in the aspect of obtaining the target state information of the intelligent network card reported by the register of the intelligent network card, the obtaining unit 701 is specifically configured to:
Acquiring the appointed function of the intelligent network card;
determining a target register corresponding to the specified function;
and acquiring target state information of the intelligent network card reported by the target register of the intelligent network card.
It can be seen that the state monitoring device of the intelligent network card described in the application is applied to an intelligent network card monitoring system, when the intelligent network card operates, the target state information of the intelligent network card reported by the register of the intelligent network card is obtained, the intelligent network card is subjected to abnormality detection according to the target state information, when the intelligent network card is abnormal, the target abnormality information corresponding to the target state information is determined, the early warning operation is performed according to the target abnormality information, whether the intelligent network card is abnormal or not can be identified based on the state information of the intelligent network card, and the corresponding abnormality information is determined to provide the corresponding early warning operation when the intelligent network card is abnormal, so that the intelligent network card can be accurately detected, the abnormality can be repaired in time, and the working efficiency of the intelligent network card is ensured.
It may be understood that the functions of each program module of the state monitoring device of the intelligent network card of the present embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the relevant description of the foregoing method embodiment, which is not repeated herein.
The present application also provides a computer storage medium storing a computer program for electronic data exchange, the computer program causing a computer to perform part or all of the steps of any one of the methods described in the method embodiments above, the computer comprising an electronic device comprising an intelligent network card monitoring system.
The present application also provides a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device comprising an intelligent network card monitoring system.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the above-mentioned method of the various embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the principles and embodiments of the application may be implemented in conjunction with the detailed description of the application that follows, the examples being merely intended to facilitate an understanding of the method of the application and its core concepts; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (6)
1. The state monitoring method of the intelligent network card is characterized by being applied to an intelligent network card monitoring system, and comprises the following steps:
when the intelligent network card operates, acquiring target state information of the intelligent network card reported by a register of the intelligent network card;
Performing anomaly detection on the intelligent network card according to the target state information;
when the intelligent network card is abnormal, determining target abnormal information corresponding to the target state information;
performing early warning operation according to the target abnormal information;
the detecting the abnormality of the intelligent network card according to the target state information includes:
extracting keywords from the target state information to obtain target keywords;
when the target keyword exists in a preset keyword set, confirming that the intelligent network card is abnormal;
when the target keyword does not exist in the preset keyword set, confirming that the intelligent network card is not abnormal;
wherein the determining the target abnormality information corresponding to the target state information includes:
intercepting a target field related to the target keyword from the target state information, wherein the target field comprises: a target address and a target state value;
determining a target fault location corresponding to the target address;
determining a target fault level corresponding to the target state value;
determining the target abnormal information according to the target fault position and the target fault grade;
Wherein the determining a target fault level corresponding to the target state value includes:
obtaining a mapping table corresponding to the target fault position, wherein the mapping table is a mapping relation between a state value and a fault level, the mapping table comprises a software mapping table and/or a hardware mapping table, the software mapping table is a mapping relation between the state value corresponding to the software fault and the fault level, and the hardware mapping table is a mapping relation between the state value corresponding to the hardware fault and the fault level;
acquiring target physical environment parameters and target working environment parameters of the intelligent network card, wherein the target working environment parameters comprise target hardware environment parameters and target software environment parameters;
determining a target hardware environment evaluation value corresponding to the target hardware environment parameter;
determining a target software environment evaluation value corresponding to the target software environment parameter;
determining a first reference state value corresponding to the target hardware environment evaluation value;
determining a second reference state value corresponding to the target software environment evaluation value;
acquiring reference physical environment parameters at a first preset moment and acquiring reference software environment parameters at a second preset moment;
Determining a first difference parameter between the target hardware environment parameter and the reference physical environment parameter;
determining a second difference parameter between the target software environment parameter and the reference software environment parameter;
identifying a fault type according to the first difference parameter and the second difference parameter to obtain a target fault type, wherein the target fault type comprises a software fault type or a hardware fault type;
acquiring a target mapping table corresponding to the target fault type;
determining a first weight and a second weight according to the first difference parameter and the second difference parameter;
performing weighting operation according to the first weight, the second weight, the first reference state value and the second reference state value to obtain a third reference state value;
determining a target optimization factor corresponding to the target physical environment parameter;
optimizing the target state value according to the target optimization factor to obtain a reference actual state value;
determining a target reference state value according to the third reference state value and the reference actual state value;
and determining the target fault level according to the target mapping table and the target reference state value.
2. The method of claim 1, wherein the performing the early warning operation according to the target abnormality information includes:
determining a first early warning control parameter corresponding to the target fault position;
determining a target adjustment parameter corresponding to the target fault level;
adjusting the first early warning control parameter according to the target adjustment parameter to obtain a second early warning control parameter;
and performing early warning operation according to the second early warning control parameters.
3. The method according to claim 1 or 2, wherein the obtaining the target state information of the intelligent network card reported by the register of the intelligent network card includes:
acquiring the appointed function of the intelligent network card;
determining a target register corresponding to the specified function;
and acquiring target state information of the intelligent network card reported by the target register of the intelligent network card.
4. A state monitoring device for an intelligent network card, applied to an intelligent network card monitoring system, the device comprising: an acquisition unit, a detection unit, a determination unit and an early warning unit, wherein,
the acquisition unit is used for acquiring target state information of the intelligent network card, which is reported by a register of the intelligent network card, when the intelligent network card operates;
The detection unit is used for carrying out anomaly detection on the intelligent network card according to the target state information;
the determining unit is used for determining target abnormal information corresponding to the target state information when the intelligent network card is abnormal;
the early warning unit is used for carrying out early warning operation according to the target abnormal information;
in the aspect of performing anomaly detection on the intelligent network card according to the target state information, the detection unit is specifically configured to:
extracting keywords from the target state information to obtain target keywords;
when the target keyword exists in a preset keyword set, confirming that the intelligent network card is abnormal;
when the target keyword does not exist in the preset keyword set, confirming that the intelligent network card is not abnormal;
wherein, in the aspect of determining the target abnormality information corresponding to the target state information, the determining unit is specifically configured to:
intercepting a target field related to the target keyword from the target state information, wherein the target field comprises: a target address and a target state value;
determining a target fault location corresponding to the target address;
Determining a target fault level corresponding to the target state value;
determining the target abnormal information according to the target fault position and the target fault grade;
wherein the determining a target fault level corresponding to the target state value includes:
obtaining a mapping table corresponding to the target fault position, wherein the mapping table is a mapping relation between a state value and a fault level, the mapping table comprises a software mapping table and/or a hardware mapping table, the software mapping table is a mapping relation between the state value corresponding to the software fault and the fault level, and the hardware mapping table is a mapping relation between the state value corresponding to the hardware fault and the fault level;
acquiring target physical environment parameters and target working environment parameters of the intelligent network card, wherein the target working environment parameters comprise target hardware environment parameters and target software environment parameters;
determining a target hardware environment evaluation value corresponding to the target hardware environment parameter;
determining a target software environment evaluation value corresponding to the target software environment parameter;
determining a first reference state value corresponding to the target hardware environment evaluation value;
determining a second reference state value corresponding to the target software environment evaluation value;
Acquiring reference physical environment parameters at a first preset moment and acquiring reference software environment parameters at a second preset moment;
determining a first difference parameter between the target hardware environment parameter and the reference physical environment parameter;
determining a second difference parameter between the target software environment parameter and the reference software environment parameter;
identifying a fault type according to the first difference parameter and the second difference parameter to obtain a target fault type, wherein the target fault type comprises a software fault type or a hardware fault type;
acquiring a target mapping table corresponding to the target fault type;
determining a first weight and a second weight according to the first difference parameter and the second difference parameter;
performing weighting operation according to the first weight, the second weight, the first reference state value and the second reference state value to obtain a third reference state value;
determining a target optimization factor corresponding to the target physical environment parameter;
optimizing the target state value according to the target optimization factor to obtain a reference actual state value;
determining a target reference state value according to the third reference state value and the reference actual state value;
And determining the target fault level according to the target mapping table and the target reference state value.
5. An electronic device comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the program comprising instructions for performing the steps in the method of any of claims 1-3, the electronic device comprising an intelligent network card monitoring system.
6. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-3.
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