CN114924926A - Memory bank abnormity detection method - Google Patents
Memory bank abnormity detection method Download PDFInfo
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- CN114924926A CN114924926A CN202210679082.1A CN202210679082A CN114924926A CN 114924926 A CN114924926 A CN 114924926A CN 202210679082 A CN202210679082 A CN 202210679082A CN 114924926 A CN114924926 A CN 114924926A
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- 230000015654 memory Effects 0.000 title claims abstract description 174
- 238000001514 detection method Methods 0.000 title claims abstract description 121
- 230000002159 abnormal effect Effects 0.000 claims abstract description 78
- 238000003745 diagnosis Methods 0.000 claims abstract description 33
- 238000012423 maintenance Methods 0.000 claims description 34
- 238000000034 method Methods 0.000 claims description 25
- 230000005856 abnormality Effects 0.000 claims description 10
- 238000012163 sequencing technique Methods 0.000 claims description 9
- 241000233805 Phoenix Species 0.000 claims description 6
- 230000007547 defect Effects 0.000 claims description 4
- 230000003647 oxidation Effects 0.000 claims description 3
- 238000007254 oxidation reaction Methods 0.000 claims description 3
- 238000013024 troubleshooting Methods 0.000 claims description 3
- 238000002405 diagnostic procedure Methods 0.000 claims 1
- 230000002950 deficient Effects 0.000 description 2
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2268—Logging of test results
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
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Abstract
The invention relates to the technical field of memory bank detection, and discloses a memory bank abnormity detection method. According to the invention, the memory bank groups are sorted and sequenced, and the abnormal detection system is constructed to mark the memory banks, so that the abnormal memory bank groups can be overhauled in time in three modes of BIOS alarm detection, memory appearance diagnosis detection and replacement diagnosis detection, and then the abnormal overhaul content can be uploaded and backed up after the knowledge storage library in the abnormal detection system records the overhaul content, so that later-stage workers can conveniently retrieve the overhaul record to compare with the abnormal condition which occurs again, and the overhaul strength is reduced.
Description
Technical Field
The invention relates to the technical field of memory bank detection, in particular to a memory bank abnormity detection method.
Background
The memory bank is a computer component which can be addressed by the CPU through a bus and performs read-write operation, and becomes the whole of the read-write memory along with the requirement of continuously updating the software and hardware technology of the computer.
With the continuous development of integrated circuit manufacturing processes and the gradual reduction of semiconductor sizes, the density of a memory is larger and larger, the probability of the faults of the memory bank is higher and higher, the types of the faults are more and more, the detection of the faults of the memory bank is more and more complex, the detection time is longer and more, especially for electronic equipment in a large-scale factory, the number of the required memory banks is more, the faults are larger, however, the existing abnormal detection of the memory bank is mostly in a mode of checking one by one, the time consumption is longer, and meanwhile, the operation intensity of workers is very easy to increase. Therefore, those skilled in the art provide a method for detecting memory bank abnormality to solve the above problems in the background art.
Disclosure of Invention
The present invention is directed to a method for detecting an abnormal memory bank, so as to solve the problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a memory bank abnormity detection method comprises the following steps:
step one, memory bank group classification: the memory bank groups are arranged in groups, the number of the groups can be divided into 1.2.3.. N according to the sequence number, and each group can be divided into 1.2.3.. N according to the sequence number;
step two, constructing an abnormality detection system: setting a memory bank abnormity detection system, and communicating the abnormity detection system with a memory bank group;
step three, marking the memory bank: acquiring memory bank information to obtain an identifier and an information state of each memory bank;
step four, abnormal maintenance of the memory bank group: according to the arrangement of the identification serial numbers, carrying out BIOS alarm detection, memory appearance diagnosis detection or replacement diagnosis detection on the memory bank group;
step five, troubleshooting the abnormal problem of the memory bank: and judging the abnormal reason of the memory bank according to the detection result, checking and solving the abnormal reason, and uploading the abnormal reason and the solving process to a knowledge storage library.
As a still further scheme of the invention: the abnormity detection system is assembled in the handheld terminal equipment and consists of a display terminal, a sequencing grouping module, an alarm module, an information acquisition module and a knowledge storage library, wherein:
the display terminal is used for displaying and correcting abnormal problems of the memory bank group and extracting and displaying abnormal maintenance records of the memory bank group;
the sorting and grouping module is used for sorting and marking the memory bank groups, dividing the memory bank groups into ordered sequence numbers which can be divided into 1.2.3.. N groups according to the number of the groups, and dividing each group into 1.2.3.. N groups according to the number of the groups so as to clearly sort the memory bank groups;
the alarm module is used for alarming and reminding the abnormal memory bank and forwarding the abnormal information to the display terminal;
the information acquisition module is used for extracting the abnormal content of the memory bank;
the knowledge storage base is used for storing detection record contents of BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection so that later-stage workers can conveniently retrieve the maintenance records and compare the maintenance records with the abnormal conditions which occur again, and maintenance intensity is reduced.
As a still further scheme of the invention: the BIOS alarm detection is applied to internal faults of the memory bank and is in a voice control detection mode, and the BIOS alarm detection comprises three common BIOS detection modes of Award, AMI and Phoenix, wherein:
award's BIOS settings are as follows: the long sound continuously rings, and the memory bank is not plugged tightly; a long and short sound, memory or motherboard error;
BIOS settings for AMI are as follows: a short sound, memory refresh failure; two short sounds, memory ECC check error; one long, three short, memory error;
the BIOS settings for Phoenix are as follows: four short, three short, one short sound, memory error.
As a still further scheme of the invention: the memory appearance diagnosis and detection is applied to external faults of a memory bank, whether the memory is physically damaged or not is checked, whether phenomena such as blackening and greening exist on the memory or not is observed, whether a device on the surface of the memory is defective or foreign matter or not is judged, and whether golden fingers of the memory are defective or oxidized or not is judged.
As a still further scheme of the invention: the replacement method diagnosis and detection is applied to the whole hardware fault of the memory bank, and whether the replaced or added memory is compatible or not is checked.
As a still further scheme of the invention: the memory bank abnormity detection method comprises the following processes:
s1, classifying and sequencing the existing memory bank groups, wherein the memory bank groups can be divided into 1.2.3.. N groups according to the number of the groups, each group can be divided into 1.2.3.. N groups according to the number of the groups, and the sequenced memory banks are uploaded and marked into a sequencing grouping module of an abnormality detection system;
s2, constructing an abnormal detection mode of the memory bank group, which comprises three modes: BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection;
s3, when the memory bank group is abnormal, the handheld terminal device equipped with the abnormal detection system is held by hands, and according to the alarm prompt of the display terminal in the abnormal detection system, the worker carries out abnormal detection work before arriving at the memory bank with abnormal alarm;
s4, executing corresponding BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection according to the abnormal condition of the abnormal memory bank;
s5, after the detection and maintenance are finished, uploading the abnormal maintenance content to a knowledge storage library in the abnormal detection system, so that the later-stage workers can conveniently call the maintenance record and compare the maintenance record with the abnormal condition which occurs again, and the maintenance intensity is reduced.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through classifying and sequencing the memory bank groups and constructing the marks of the abnormal detection system on the memory banks, the abnormal memory bank groups can be subjected to the timely maintenance work in three modes of BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection, and then the abnormal maintenance contents are recorded in the knowledge storage library in the abnormal detection system and can be uploaded for backup, so that later-stage workers can call maintenance records to compare with the abnormal conditions which occur again, and the maintenance intensity is reduced.
Drawings
FIG. 1 is a schematic diagram of a memory bank anomaly detection method;
fig. 2 is a schematic flow chart of an abnormality detection system in a memory bank abnormality detection method.
Detailed Description
Referring to fig. 1-2, in an embodiment of the invention, a method for detecting memory bank abnormality includes:
step one, memory bank group classification: the memory bank groups are arranged in groups, the number of the groups can be divided into 1.2.3.. N according to the sequence number, and each group can be divided into 1.2.3.. N according to the sequence number;
step two, constructing an abnormality detection system: setting a memory bank abnormity detection system, and communicating the abnormity detection system with a memory bank group;
step three, marking the memory bank: obtaining memory bank information, and obtaining the identification and information state of each memory bank;
step four, abnormal maintenance of the memory bank group: according to the arrangement of the identification serial numbers, carrying out BIOS alarm detection, memory appearance diagnosis detection or replacement diagnosis detection on the memory bank group;
step five, troubleshooting the memory bank abnormal problem: and judging the abnormal reason of the memory bank group according to the detection result, checking and solving the abnormal reason, and uploading the abnormal reason and the solving process to a knowledge storage library.
The abnormity detection system is assembled in the handheld terminal equipment and consists of a display terminal, a sequencing grouping module, an alarm module, an information acquisition module and a knowledge storage library, wherein:
the display terminal is used for displaying and correcting abnormal problems of the memory bank group and extracting and displaying abnormal maintenance records of the memory bank group;
the sorting and grouping module is used for sorting and marking the memory bank groups, and dividing the memory bank groups into ordered arrangement serial numbers which can be divided into 1.2.3.. N groups according to the number of the groups, and each group can be divided into 1.2.3.. N groups according to the serial numbers so as to clearly sort the memory bank groups;
the alarm module is used for alarming and reminding the abnormal memory bank and forwarding the abnormal information to the display terminal;
the information acquisition module is used for extracting the abnormal content of the memory bank;
the knowledge storage base is used for storing detection record contents of BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection so that later-stage workers can conveniently retrieve the maintenance records and compare the maintenance records with the abnormal conditions which occur again, and maintenance intensity is reduced.
The BIOS alarm detection is applied to internal faults of the memory bank and is in a voice control detection mode, wherein the voice control detection mode comprises three common BIOS detection modes of Award, AMI and Phoenix, and the BIOS alarm detection mode comprises the following steps:
award's BIOS settings are as follows: the long sound continuously rings, and the memory bank is not plugged tightly; a long and short sound, memory or motherboard error;
BIOS settings for AMI are as follows: a short sound, memory refresh failure; two short sounds, memory ECC check error; one long, three short, memory error;
the BIOS settings for Phoenix are as follows: four short, three short, one short sound, memory error.
The memory appearance diagnosis detection is applied to external faults of a memory bank, whether the memory is physically damaged or not is checked, whether phenomena such as blackening and greening exist on the memory or not is observed, whether a device on the surface of the memory has defects or foreign matters or not and whether golden fingers of the memory have defects or oxidation phenomena or not are observed, aiming at the oxidation phenomena of the golden fingers of the memory, the surfaces of the golden fingers can be lightly wiped by a rubber, a pencil is used for wiping the golden fingers to enable the conductivity of the golden fingers to be better, the golden fingers are wiped by alcohol, and an oxide layer is removed by abrasive paper.
The replacement method diagnosis and detection is applied to the whole hardware fault of the memory bank, whether a replaced or added memory is compatible is checked, the first condition is that a main board is incompatible with the memory, the high-frequency memory is frequently used on some old main boards which do not support the frequency memory, therefore, when the memory bank is added or replaced, the memory parameters supported by the main board need to be determined in advance, the second condition is that the memory is incompatible, the memory banks have different speeds and generate time difference due to the adoption of the memories of different chips, the system is often halted, and the memory speed can be tried to be reduced in the BIOS setting.
The memory bank abnormity detection method comprises the following processes:
s1, classifying and sequencing the existing memory bank groups, wherein the memory bank groups can be divided into 1.2.3.. N groups according to the number of the groups, each group can be divided into 1.2.3.. N groups according to the number of the groups, and the sequenced memory banks are uploaded and marked into a sequencing grouping module of an abnormality detection system;
s2, constructing an abnormal memory bank detection mode, which comprises three modes: BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection;
s3, when the memory bank group is abnormal, the handheld terminal device equipped with the abnormal detection system is held by hands, and according to the alarm prompt of the display terminal in the abnormal detection system, the worker carries out abnormal detection work before arriving at the memory bank with abnormal alarm;
s4, executing corresponding BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection according to the abnormal condition of the abnormal memory bank;
s5, after the detection and maintenance are finished, uploading the abnormal maintenance content to a knowledge storage library in the abnormal detection system, so that the later-stage workers can conveniently call the maintenance record and compare the maintenance record with the abnormal condition which occurs again, and the maintenance intensity is reduced.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered as the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (6)
1. A memory bank abnormity detection method is characterized by comprising the following steps:
step one, memory bank group classification: the memory bank groups are arranged in groups, the number of the groups can be divided into 1.2.3.. N according to the sequence number, and each group can be divided into 1.2.3.. N according to the sequence number;
step two, constructing an abnormality detection system: setting a memory bank abnormity detection system, and communicating the abnormity detection system with a memory bank group;
step three, marking the memory bank: acquiring memory bank information to obtain an identifier and an information state of each memory bank;
step four, abnormal maintenance of the memory bank group: according to the arrangement of the identification serial numbers, carrying out BIOS alarm detection, memory appearance diagnosis detection or replacement method diagnosis detection on the memory bank group;
step five, troubleshooting the abnormal problem of the memory bank: and judging the abnormal reason of the memory bank according to the detection result, checking and solving the abnormal reason, and uploading the abnormal reason and the solving process to a knowledge storage library.
2. The memory bank anomaly detection method according to claim 1, wherein the anomaly detection system is assembled in a handheld terminal device and comprises a display terminal, a sorting and grouping module, an alarm module, an information acquisition module and a knowledge repository, wherein:
the display terminal is used for displaying and correcting abnormal problems of the memory bank group and extracting and displaying abnormal maintenance records of the memory bank group;
the sorting and grouping module is used for sorting and marking the memory bank groups, dividing the memory bank groups into ordered sequence numbers which can be divided into 1.2.3.. N groups according to the number of the groups, and dividing each group into 1.2.3.. N groups according to the number of the groups so as to clearly sort the memory bank groups;
the alarm module is used for alarming and reminding the abnormal memory bank and forwarding the abnormal information to the display terminal;
the information acquisition module is used for extracting the abnormal content of the memory bank;
the knowledge storage base is used for storing detection record contents of BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection so that later-stage workers can conveniently retrieve the maintenance records and compare the maintenance records with the abnormal conditions which occur again, and maintenance intensity is reduced.
3. The memory bank anomaly detection method according to claim 1, wherein the BIOS alarm detection is applied to internal faults of the memory bank and is in a voice control detection mode, and the voice control detection mode comprises three common BIOS detection modes of Award, AMI and Phoenix, wherein:
award's BIOS settings are as follows: the long sound continuously rings, and the memory bank is not tightly inserted; a long and short sound, memory or motherboard error;
BIOS settings for AMI are as follows: a short sound, memory refresh failure; two short sounds, memory ECC check error; one long, three short, memory error;
the BIOS settings for Phoenix are as follows: four short, three short, one short sound, memory error.
4. The method according to claim 1, wherein the memory appearance diagnosis and detection is applied to external faults of the memory bank, whether the memory is physically damaged or not is checked, whether phenomena such as blackening and greening exist on the memory or not is observed, whether defects or foreign matters exist on devices on the surface of the memory or whether defects or oxidation phenomena exist on golden fingers of the memory or not is observed.
5. The method according to claim 1, wherein the replacement diagnostic test is applied to the failure of the entire hardware of the memory bank to check whether the replaced or added memory is compatible.
6. The method of claim 1, wherein the flow of the method is as follows:
s1, classifying and sequencing the existing memory bank groups, wherein the memory bank groups can be divided into 1.2.3.. N groups according to the number of the groups, each group can be divided into 1.2.3.. N groups according to the number of the groups, and the sequenced memory banks are uploaded and marked into a sequencing grouping module of an abnormality detection system;
s2, constructing an abnormal detection mode of the memory bank group, which comprises three modes: BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection;
s3, when the memory bank group is abnormal, the handheld terminal device equipped with the abnormal detection system is held by hands, and according to the alarm prompt of the display terminal in the abnormal detection system, the worker carries out abnormal detection work before arriving at the memory bank with abnormal alarm;
s4, executing corresponding BIOS alarm detection, memory appearance diagnosis detection and replacement method diagnosis detection according to the abnormal condition of the abnormal memory bank;
s5, after the detection and maintenance are finished, uploading the abnormal maintenance content to a knowledge storage library in the abnormal detection system, so that the later-stage workers can conveniently call the maintenance record and compare the maintenance record with the abnormal condition which occurs again, and the maintenance intensity is reduced.
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| CN103164301A (en) * | 2011-12-15 | 2013-06-19 | 富泰华工业（深圳）有限公司 | Portable detecting device and detecting method thereof |
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| CN112256465A (en) * | 2020-10-22 | 2021-01-22 | 皇虎测试科技(深圳)有限公司 | Method and device for repairing memory bank errors |
| CN114461476A (en) * | 2022-02-14 | 2022-05-10 | 深圳源创存储科技有限公司 | Memory bank fault detection method, device and system |
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- 2022-06-15 CN CN202210679082.1A patent/CN114924926A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102841832A (en) * | 2011-06-24 | 2012-12-26 | 鸿富锦精密工业（深圳）有限公司 | Error memory chip locating system and method |
| CN103164301A (en) * | 2011-12-15 | 2013-06-19 | 富泰华工业（深圳）有限公司 | Portable detecting device and detecting method thereof |
| US20150363287A1 (en) * | 2014-06-11 | 2015-12-17 | International Business Machines Corporation | Bank-level fault management in a memory system |
| CN106055438A (en) * | 2016-05-27 | 2016-10-26 | 深圳市国鑫恒宇科技有限公司 | Method and system for rapidly locating anomaly of memory banks on mainboard |
| CN112256465A (en) * | 2020-10-22 | 2021-01-22 | 皇虎测试科技(深圳)有限公司 | Method and device for repairing memory bank errors |
| CN114461476A (en) * | 2022-02-14 | 2022-05-10 | 深圳源创存储科技有限公司 | Memory bank fault detection method, device and system |
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