CN112104508B - Intelligent fault monitoring and self-repairing method for network data acquisition equipment, storage medium and computer equipment - Google Patents
Intelligent fault monitoring and self-repairing method for network data acquisition equipment, storage medium and computer equipment Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
- H04L41/0661—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities by reconfiguring faulty entities
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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
- H04L43/0811—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking connectivity
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Abstract
The invention belongs to the technical field of communication, and particularly relates to an intelligent fault monitoring and self-repairing method for network data acquisition equipment, a storage medium and computer equipment. The invention acquires the data of different network data acquisition equipment in a self-learning mode, acquires the state of the network equipment by monitoring the data of the network data acquisition equipment, and repairs the fault equipment in time, thereby greatly saving the labor cost, improving the fault removal efficiency and saving the time.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to an intelligent fault monitoring and self-repairing method for network data acquisition equipment, a storage medium and computer equipment.
Background
At present, the application of network data acquisition equipment is very popular, because reasons such as the operational environment of network data acquisition equipment and self attribute, can appear the phenomenon unable with network data acquisition equipment communication in operation often, in order to the troubleshooting, the mode of most of handling is the technical staff reachs the scene, and the manual work is discharged. Through statistics, the network data acquisition equipment is down as a main reason, and the problem is generally solved by adopting a method of powering on again. Through artifical troubleshooting, firstly the human cost is higher, secondly, the technical staff needs longer time from finding the trouble to arriving at the scene, and equipment can't operate all the time in this time, indirect economic loss who has caused the user, and the efficiency of troubleshooting is extremely low, and third, if the environment of equipment operation is comparatively abominable, the down phenomenon will appear often to equipment, very big increase the cost of maintenance.
Disclosure of Invention
An aspect of the present disclosure is to provide a method, a storage medium, and a computer device for intelligently monitoring and self-repairing a failure of a network data acquisition device, so as to solve the above technical problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
the intelligent fault monitoring and self-repairing method for the network data acquisition equipment comprises the following steps:
acquiring reference operation data of the network data acquisition equipment, wherein the reference operation data comprises a first voltage, a first current, a first data flow, a first IP address and a first starting duration when the network data acquisition equipment operates, and the reference operation data is used for comparing data of the network data acquisition equipment with a reference value when the network data acquisition equipment operates daily;
monitoring real-time operation data of the network data acquisition equipment, wherein the real-time operation data comprises a second voltage, a second current and a second data flow of the network data acquisition equipment;
and judging the deviation between the first voltage and the second voltage, between the first current and the second current, and between the first data flow and the second data flow, and starting a repair program if the deviation value of any one group of data of the three groups of data exceeds a preset deviation value.
In one embodiment, the step of obtaining the reference operation data of the network data acquisition device comprises the following steps:
step 1, powering on network data acquisition equipment;
step 2, acquiring a first IP address of the network data acquisition equipment;
step 3, sending an instruction to the network data acquisition equipment, if response information of the network data acquisition equipment is received, calculating a time difference between the step 1 and the received response information to be a first starting time length, and executing step 4, if not, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
and 4, acquiring the current first voltage, first current and first data flow of the network data acquisition equipment.
In one embodiment, the step 3 of acquiring the reference operation data of the network data acquisition device is set to continuously send an instruction to the network data acquisition device within a predetermined time period until response information of the network data acquisition device is received, and a time difference between the step 1 and the first time of receiving the response information is calculated to be a first starting time period.
In one embodiment, the reference operation data further includes a first MAC address of the network data acquisition device, and the step 2 of obtaining the reference operation data of the network data acquisition device further includes obtaining the first MAC address.
In one embodiment, the repair procedure sequentially performs the following steps:
step 1, detecting whether the physical connection of a network cable connected with the network data acquisition equipment is normal, if so, executing step 2, otherwise, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
step 2, sending an instruction to the network data acquisition equipment, judging whether response information of the network data acquisition equipment is not received, if not, executing step 3, if so, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
step 3, restarting, namely sequentially performing power-off and power-on operations on the network data acquisition equipment, and then performing step 4;
step 4, executing step 5 after waiting for the first starting duration;
step 5, sending an instruction to the network data acquisition equipment, judging whether response information of the network data acquisition equipment is received or not, if not, executing step 6, if so, terminating the repair program and reporting to the network management, and displaying the repair information of the corresponding network data acquisition equipment through the network management platform;
step 6, judging the times of restarting the network data acquisition equipment in the process of the repair program, and comparing the times with the preset starting times;
and if the times do not exceed the preset starting times, executing the step 3, otherwise, terminating the repair program, powering off the network data acquisition equipment, reporting to the network management, and displaying the fault information of the corresponding network data acquisition equipment through the network management platform.
In one embodiment, step 2 of the repair program is to send a preset sending frequency instruction to the network data acquisition device, calculate the response rate of the network data acquisition device, determine whether the unresponsive rate is 0, if so, execute step 3, if not, terminate the repair program and power off the network data acquisition device and report the power off to the network management system, and display the fault information of the corresponding network data acquisition device through the network management platform.
In one embodiment, the reference operation data further includes a first MAC address of the network data acquisition device, and the step 2 of obtaining the reference operation data of the network data acquisition device further includes obtaining the first MAC address, and in order to further exclude the possibility that the IP address of the network data acquisition device is tampered, the step between step 1 and step 2 of the repair program is added:
acquiring a second IP address and a second MAC address of the network data acquisition equipment, judging whether the first IP address and the second IP address as well as the first MAC address and the second MAC address are the same, if the two groups of data are the same, executing a step 2, if the two groups of data are not the same, stopping a repair program, powering off the network data acquisition equipment, reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform.
In one embodiment, step 4 of the repair procedure is to wait for the first start time period plus a preset extension time period and then execute step 5.
In one embodiment, the absolute value of the preset deviation value is 5% -20% of the reference operation data.
In one embodiment, when the real-time operation data of the network data acquisition device is monitored, if an abnormality occurs within a preset abnormality duration for a preset abnormality number, a repair program is started.
A second aspect of the embodiments of the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program is configured to, when executed by a processor, implement the steps of any one of the methods described above.
A third aspect of the embodiments of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the above methods when executing the program.
According to the intelligent fault monitoring and self-repairing method for the network data acquisition equipment, the storage medium and the computer equipment, the data of different network data acquisition equipment are acquired in a self-learning mode, the state of the network equipment is acquired through data monitoring of the network data acquisition equipment, and the fault equipment is repaired in time, so that the labor cost is greatly saved, the fault removing efficiency is improved, the time is saved, and especially for the remote network data acquisition equipment, the operation cost and the fault removing efficiency are more obvious.
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FIG. 1 is a flow diagram of a method for intelligent fault monitoring and self-healing of a network data collection device according to one aspect of the present disclosure;
FIG. 2 is a flow chart of a method of obtaining reference operational data of a network data collection device according to one aspect of the present disclosure;
FIG. 3 is a flow chart of a repair procedure method according to one aspect of the present disclosure.
Detailed description of the preferred embodiments
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
For example, a method for intelligently monitoring and self-repairing a fault of a network data acquisition device, where the network data acquisition device is, for example, a graphic acquisition device, an audio acquisition device, a natural environment data acquisition device with sensors of temperature, humidity, wind speed, etc., a network switch, more specifically, a network camera, please refer to fig. 1, and the method for monitoring and self-repairing includes:
the method comprises the following steps of S1, obtaining reference operation data of the network data acquisition equipment, wherein the reference operation data comprise a first voltage, a first current, a first data flow, a first IP address, a first MAC address and a first starting time length when the network data acquisition equipment operates, the reference operation data are used for comparing data of the network data acquisition equipment during daily operation with a reference value, and the obtained reference operation data of the network data acquisition equipment operate once only after the equipment is installed and debugged;
s2, monitoring real-time operation data of the network data acquisition equipment, wherein the real-time operation data comprise a second voltage, a second current and a second data flow of the network data acquisition equipment, and are acquired in real time all day through a preset acquisition frequency, for example, the data are acquired once every 10 minutes;
s3, judging the deviation between the first voltage and the second voltage, the first current and the second current, and the first data flow and the second data flow, wherein if the deviation value of any one group of data of the three groups of data exceeds a preset deviation value, the deviation value is abnormal, and the preset deviation value is 5% -20% of the reference operation data;
and S4, if the abnormality of the preset abnormal times occurs in the preset abnormal time, starting a repair program, and setting the preset abnormal time and the preset abnormal times to prevent the data abnormality caused by the accidental factors of external burst.
Referring to fig. 2, the method includes acquiring reference operation data of a network data acquisition device, where the data acquisition is performed after the device is installed and a test is passed, and includes the following steps:
s101, powering on network data acquisition equipment;
s102, acquiring a first IP address of the network data acquisition equipment and a first MAC address of the network data acquisition equipment, wherein the IP address of the network data acquisition equipment can be tampered for some reason, but the MAC address of the network data acquisition equipment is globally unique, so that the acquired MAC address is used for confirming whether the IP address of the network data acquisition equipment is tampered;
s103, sending a PING instruction to network data acquisition equipment;
s104, judging whether response information of the network data acquisition equipment is received within a first preset time;
s105, if not, the network data acquisition equipment is powered off and reported to the network management system, and fault information of the corresponding network data acquisition equipment is displayed through the network management platform, for example, the network data acquisition equipment fails to register;
s106, if yes, calculating a time difference between the step 1 and the first time when the response information is received, namely a first starting time length, wherein the first starting time length is used for waiting for equipment to start when the repair program is executed, and the data needs to be recorded because the starting time lengths of different equipment are different;
s107, acquiring a current first voltage, a current first current and a current first data flow, and storing and recording acquired information comprising the first voltage, the first current, the first data flow, a first IP address, a first MAC address and first starting time on a memory;
and S108, terminating the program for acquiring the reference operation data of the network data acquisition equipment.
Referring to fig. 3, the repair procedure sequentially performs the following steps:
s201, detecting whether the physical connection of a network cable connected with the network data acquisition equipment is normal;
s202, if the repair program is not terminated, the network data acquisition equipment is powered off and reported to a network manager, and fault information of the corresponding network data acquisition equipment is displayed through a network management platform, for example, a network cable connected with the network equipment has a fault;
s203, if the second IP address and the second MAC address of the network data acquisition equipment are acquired, judging whether the first IP address and the second IP address, and the first MAC address and the second MAC address are the same;
s204, if not, the network data acquisition equipment is powered off and reported to the network management, and fault information of the corresponding network data acquisition equipment is displayed through the network management platform, for example, the IP address of the network data acquisition equipment is abnormal;
s205, if yes, sending a PING instruction with preset sending times (for example, 10 times) to the network data acquisition equipment;
s206, calculating the response rate of the network data acquisition equipment, and judging whether the unresponsive rate is 0 or not;
s207, if not, terminating the repair program, powering off the network data acquisition equipment, reporting to the network management system, and displaying fault information of the corresponding network data acquisition equipment through the network management platform, for example, virtual connection may exist in a network cable connected with the network data acquisition equipment;
s208, if so, sequentially performing power-off and power-on operations on the network data acquisition equipment by controlling the power supply circuit so as to restart the network data acquisition equipment;
s209, waiting for the first starting time and adding a preset extended time, wherein the preset extended time is increased in order to prevent the increase of the starting time of the equipment caused by the burst factor or the long-term use of the equipment, particularly the increase of the starting time caused by the aging of the equipment caused by factors such as high temperature, humidity and the like in a severe environment;
s210, sending a PING instruction to network data acquisition equipment;
s211, judging whether response information of the network data acquisition equipment is received or not;
s212, if yes, stopping the repair program and reporting to the network management, and displaying repair information of the corresponding network data acquisition equipment through the network management platform, for example, the network data acquisition equipment is successfully repaired;
s213, if not, judging whether the restarting times of the network data acquisition equipment exceed the preset starting times in the process of the repair program;
s214, if yes, the repair program is stopped, the network data acquisition equipment is powered off and reported to the network management system, and fault information of the corresponding network data acquisition equipment is displayed through the network management platform, for example, if the network data acquisition equipment fails to be repaired, whether hardware of the equipment is damaged or not is checked;
otherwise, repeating S208-S214.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when executing the program. Wherein the processor is configured to provide computational and control capabilities. The memory provides an environment for the operation of the failover program. The memory includes an internal memory and a nonvolatile storage medium. The computer equipment further comprises a power supply circuit and a network communication circuit, wherein the power supply circuit is used for providing power-on and power-off operations for the network data acquisition equipment and acquiring current and voltage when the network data acquisition equipment runs, and the network communication circuit is used for establishing communication connection with the network data acquisition equipment and acquiring an IP address, an MAC address and data flow of the network data acquisition equipment.
The computer equipment is connected with a network camera A, and is started to execute the following steps:
starting a reference operation data program for acquiring the network data acquisition equipment:
step 1, powering on a camera A, and recording the current time, for example, the current powering on time is 10:00:00;
step 2, acquiring a first IP address, for example 192.168.1.2, of the camera a, and acquiring a first MAC address, for example 08:00:00:0A:0A:0A;
and 3, continuously sending a PING instruction to the camera A, wherein if the PING instruction is within 3 minutes, for example, 10:00:30, if the response information of the camera A is received, calculating to obtain a first starting time of 30 seconds, if the response information of the camera A is not received within 3 minutes, powering off the camera A and reporting the camera A to a network management system, displaying the fault information of the camera A through a network management platform, and failing to register the camera A;
step 4, acquiring the running data of the camera A, such as a first voltage of 24V, a first current of 1A and a first data flow of 1MB/s;
and 5, terminating the program for acquiring the reference operation data of the network data acquisition equipment, executing the program once, and storing the acquired reference data into a memory.
Starting a real-time running data program for monitoring network data acquisition equipment, if the preset deviation value in the system is, for example, the voltage deviation range is +/-2.4V, the current deviation range is +/-0.05A, the data flow deviation range is +/-200K, and the acquisition frequency is once per 10 minutes, acquiring a sample of running data in real time, and judging whether the acquired sample is abnormal, for example, the following data samples:
for example, the data acquired at a certain time includes that the second voltage is 24V, the second current is 0.8A, and the second data flow is 1.1 MB/s, and after calculation, the voltage, the circuit, and the data flow are all within the normal operation range, and it is determined that the device is operating normally.
And continuously acquiring data, wherein the data acquired at a certain time comprise that the second voltage is 20V, the second current is 0.5A, and the second data flow is 50KB/s, and after calculation, the voltage, the current and the data flow are all abnormal, and at the moment, the first abnormality is recorded.
And continuously acquiring data, wherein the acquired data comprise a second voltage of 24V, a second current of 0.9A and a second data flow of 0KB/s, and when the data flow is found to be abnormal after calculation, recording the second abnormality.
And continuously acquiring data, wherein the acquired data comprise that the second voltage is 19V, the second current is 1.5A, and the second data flow is 1.5MB/s, and after calculation, the voltage, the current and the data flow are all abnormal, and at the moment, recording the third abnormality.
For example, if the preset abnormal time length is 40 minutes, if an abnormality exceeding the preset abnormal frequency by 2 times occurs, the program is set to start the repair program, at this time, the camera a has already occurred 3 times of abnormality within the preset abnormal time length, and has already exceeded the preset abnormal frequency by 2 times, and the repair program is started.
Starting a repair program, and executing the following steps:
step 1, detecting whether the physical connection of a network cable connected with a camera A is normal or not, detecting that the physical connection of the network cable is normal, and executing step 2;
step 2, acquiring that the IP address of the network data acquisition equipment is 192.168.1.2, and the MAC address is 08:00:00:0A:0A:0A, executing step 3 after judging that the IP address and the MAC address are both reference data of the camera A;
and 3, sending a PING command to the camera A for 10 times, calculating the unresponse rate of the camera A to be 0, and executing the step 4.
And 4, restarting, namely sequentially performing power-off and power-on operations on the camera A by controlling a power supply line, and then performing the step 5.
And 5, executing a step 6 after waiting for the time length of 30 seconds (the first starting time length) plus 30 seconds (the preset extension time length).
And 6, sending a PING instruction to the camera A, and executing the step 7 after the response information of the camera A is not received.
Step 7, restarting the repair program for 1 time, if the preset starting times are 3 times, not exceeding the preset starting times, and executing step 8;
and 8, restarting, namely sequentially performing power-off and power-on operations on the camera A by controlling a power supply line, and then performing step 9.
And 9, after waiting for the time length of 30 seconds (the first starting time length) plus 30 seconds (the preset extension time length), executing the step 10.
And step 10, sending a PING instruction to the camera A, receiving response information of the camera A, terminating the current repair program, reporting to the network management system, and displaying repair information of the corresponding network data acquisition equipment through the network management platform, for example, the fault of the camera A is successfully repaired through the repair program.
The real-time operation data of the network data acquisition equipment is monitored and the repair programs run in parallel, namely, the normal operation of the real-time operation data of the network data acquisition equipment is monitored while a certain network data acquisition equipment is repaired, and a plurality of repair programs can be started to repair different network data acquisition equipment.
In order to achieve the above object, the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above method. The storage medium may be a floppy disk, an optical disk, a DVD, a hard disk, a flash memory, a usb disk, etc., and the specific type is not unique.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (11)
1. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment is characterized by comprising the following steps of:
acquiring reference operation data of the network data acquisition equipment, wherein the reference operation data comprises a first voltage, a first current, a first data flow, a first IP address and a first starting time length when the network data acquisition equipment operates;
monitoring real-time operation data of the network data acquisition equipment, wherein the real-time operation data comprises a second voltage, a second current and a second data flow when the network data acquisition equipment operates;
judging the deviation between the first voltage and the second voltage, the first current and the second current, and the first data flow and the second data flow, and starting a repair program if the deviation value of any one group of data of the three groups of data exceeds a preset deviation value;
wherein acquiring the reference operating data comprises the steps of:
step 1, powering on network data acquisition equipment;
step 2, acquiring a first IP address of the network data acquisition equipment;
step 3, sending an instruction to the network data acquisition equipment, if response information of the network data acquisition equipment is received, calculating a time difference between the step 1 and the received response information to be a first starting time length and executing step 4, otherwise, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
and 4, acquiring the current first voltage, first current and first data flow of the network data acquisition equipment.
2. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment according to claim 1, characterized in that: the reference operation data further includes a first MAC address of the network data acquisition device, and the step 2 of obtaining the reference operation data of the network data acquisition device further includes obtaining the first MAC address.
3. The method for intelligently monitoring and self-repairing the fault of the network data acquisition equipment according to claim 1 or 2, characterized in that: the repair program sequentially executes the following steps:
step 1, detecting whether the physical connection of a network cable connected with the network data acquisition equipment is normal, if so, executing step 2, otherwise, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
step 2, sending an instruction to the network data acquisition equipment, judging whether response information of the network data acquisition equipment is not received, if not, executing step 3, if so, powering off the network data acquisition equipment and reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform;
step 3, restarting, namely, sequentially performing power-off and power-on operations on the network data acquisition equipment, and then performing step 4;
step 4, executing step 5 after waiting for the first starting duration;
step 5, sending an instruction to the network data acquisition equipment, judging whether response information of the network data acquisition equipment is received or not, if not, executing step 6, if so, terminating the repair program and reporting to the network management, and displaying the repair information of the corresponding network data acquisition equipment through the network management platform;
step 6, judging whether the restarting times of the network data acquisition equipment exceed the preset starting times in the repairing program process;
if not, executing the step 3, if so, terminating the repair program, powering off the network data acquisition equipment, reporting to the network management, and displaying the fault information of the corresponding network data acquisition equipment through the network management platform.
4. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment, according to claim 3, is characterized in that: step 2 of the repair program, sending an instruction of preset sending times to the network data acquisition equipment, calculating the response rate of the network data acquisition equipment, judging whether the unresponsive rate is 0, if so, executing step 3, if not, terminating the repair program, powering off the network data acquisition equipment, reporting the network data acquisition equipment to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform.
5. The method of claim 4, wherein the method comprises the steps of: the method further comprises the following steps between step 1 and step 2 of the repair program:
acquiring a second IP address and a second MAC address of the network data acquisition equipment, judging whether the first IP address and the second IP address as well as the first MAC address and the second MAC address are the same, if the two groups of data are the same, executing a step 2, if the two groups of data are not the same, stopping a repair program, powering off the network data acquisition equipment, reporting to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform.
6. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment, according to claim 3, is characterized in that: the method further comprises the following steps between step 1 and step 2 of the repair program:
acquiring a second IP address and a second MAC address of the network data acquisition equipment, judging whether the first IP address and the second IP address as well as the first MAC address and the second MAC address are the same, if the two groups of data are the same, executing the step 2, if not, terminating the repair program, powering off the network data acquisition equipment, reporting the network data acquisition equipment to a network manager, and displaying fault information of the corresponding network data acquisition equipment through a network management platform.
7. The method for intelligently monitoring and self-repairing the faults of the network data acquisition equipment according to claim 5 or 6, characterized in that: and step 4 of the repairing program is to execute step 5 after waiting for the first starting time length plus the preset extension time length.
8. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment according to claim 1, characterized in that: the absolute value of the preset deviation value is 5% -20% of the reference operation data.
9. The intelligent fault monitoring and self-repairing method for the network data acquisition equipment according to claim 1, characterized in that: and when the real-time running data of the network data acquisition equipment is monitored, if the abnormality of the preset abnormal times occurs within the preset abnormal duration, starting a repair program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 9.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1-9 are implemented when the program is executed by the processor.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102818964A (en) * | 2012-09-12 | 2012-12-12 | 成都光码智能科技有限公司 | Monitoring device and method of device working conditions based on reverse carnot principle |
CN104932978A (en) * | 2015-06-29 | 2015-09-23 | 北京宇航时代科技发展有限公司 | System running fault self-detection and self-recovery method and system |
CN106169965A (en) * | 2016-09-28 | 2016-11-30 | 北京金山安全软件有限公司 | Network repairing method, device and terminal |
CN106480641A (en) * | 2015-08-28 | 2017-03-08 | 无锡飞翎电子有限公司 | The fault diagnosis of washing machine and restorative procedure |
CN108172288A (en) * | 2018-01-05 | 2018-06-15 | 深圳倍佳医疗科技服务有限公司 | Medical Devices intelligent control method, device and computer readable storage medium |
CN110034956A (en) * | 2019-03-27 | 2019-07-19 | 广州供电局有限公司 | Network Data Control method, apparatus, computer equipment and storage medium |
CN111447215A (en) * | 2020-03-25 | 2020-07-24 | 深信服科技股份有限公司 | Data detection method, device and storage medium |
CN111596170A (en) * | 2020-05-27 | 2020-08-28 | 国网上海市电力公司 | Fault diagnosis comprehensive positioning method for intelligent distribution network |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6164297B2 (en) * | 2013-09-30 | 2017-07-19 | 富士通株式会社 | Video storage / delivery device, system, method, and program |
-
2020
- 2020-09-23 CN CN202011008247.XA patent/CN112104508B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102818964A (en) * | 2012-09-12 | 2012-12-12 | 成都光码智能科技有限公司 | Monitoring device and method of device working conditions based on reverse carnot principle |
CN104932978A (en) * | 2015-06-29 | 2015-09-23 | 北京宇航时代科技发展有限公司 | System running fault self-detection and self-recovery method and system |
CN106480641A (en) * | 2015-08-28 | 2017-03-08 | 无锡飞翎电子有限公司 | The fault diagnosis of washing machine and restorative procedure |
CN106169965A (en) * | 2016-09-28 | 2016-11-30 | 北京金山安全软件有限公司 | Network repairing method, device and terminal |
CN108172288A (en) * | 2018-01-05 | 2018-06-15 | 深圳倍佳医疗科技服务有限公司 | Medical Devices intelligent control method, device and computer readable storage medium |
CN110034956A (en) * | 2019-03-27 | 2019-07-19 | 广州供电局有限公司 | Network Data Control method, apparatus, computer equipment and storage medium |
CN111447215A (en) * | 2020-03-25 | 2020-07-24 | 深信服科技股份有限公司 | Data detection method, device and storage medium |
CN111596170A (en) * | 2020-05-27 | 2020-08-28 | 国网上海市电力公司 | Fault diagnosis comprehensive positioning method for intelligent distribution network |
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