CN113672426A - Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus - Google Patents

Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus Download PDF

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Publication number
CN113672426A
CN113672426A CN202110977762.7A CN202110977762A CN113672426A CN 113672426 A CN113672426 A CN 113672426A CN 202110977762 A CN202110977762 A CN 202110977762A CN 113672426 A CN113672426 A CN 113672426A
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storage
abnormal
storage device
determining
block
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CN202110977762.7A
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Chinese (zh)
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周胜斯
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Zhejiang Dahua Technology Co Ltd
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Zhejiang Dahua Technology Co Ltd
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Priority to CN202110977762.7A priority Critical patent/CN113672426A/en
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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
    • 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
    • G06F11/0766—Error or fault reporting or storing
    • G06F11/0778—Dumping, i.e. gathering error/state information after a fault for later diagnosis

Abstract

The embodiment of the invention provides a method and a device for determining the abnormity of a storage device, a storage medium and an electronic device, wherein the method comprises the following steps: when data are stored in a current storage block of a storage device, acquiring the number of abnormal storage blocks appearing in each storage cycle of the storage device where the current storage block is located under the condition that the current storage block is abnormal, wherein the abnormal storage blocks are used for representing storage blocks which cannot store the data in the storage device; and determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle. By the method and the device, the problem of inaccurate detection of the abnormality of the hard disk is solved, and the effect of accurately detecting the abnormality of the hard disk is achieved.

Description

Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus
Technical Field
The embodiment of the invention relates to the field of communication, in particular to an abnormality determination method and device for storage equipment, a storage medium and an electronic device.
Background
The hard disk is the most important device for data storage in the security industry, and in view of the serious dependence on the hard disk, the hard disk failure is regarded as the most important problem. Various problems may occur with long-term use of hard disks, of which "bad blocks" are the most common. The bad block of the hard disk is mainly caused by the quality and aging of the hard disk, but the hard disk cannot be well treated in normal use, for example, the memory is too small, so that application software frequently accesses the hard disk, fragments of the hard disk are frequently sorted, improper overclocking is caused, the power supply quality is not good, the temperature is too high, dust is not good, vibration is caused, and the like. The anomaly detection of the hard disk in the prior art is not accurate.
In view of the above technical problems, no effective solution has been proposed in the related art.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining the abnormality of a storage device, a storage medium and an electronic device, which are used for at least solving the problem of inaccurate detection of the abnormality of a hard disk in the related technology.
According to an embodiment of the present invention, there is provided an abnormality determination method for a storage device, including: when data are stored in a current storage block of a storage device, acquiring the number of abnormal storage blocks which occur in each storage cycle of the storage device in which the current storage block is located under the condition that the current storage block is abnormal, wherein the abnormal storage blocks are used for representing storage blocks which cannot store the data in the storage device; and determining the abnormal condition of the storage device based on the distribution trend of the number of the abnormal storage blocks appearing in each storage cycle.
According to another embodiment of the present invention, there is provided an abnormality determination apparatus of a storage device, including: the device comprises a first obtaining module, a second obtaining module and a third obtaining module, wherein the first obtaining module is used for obtaining the number of abnormal storage blocks which appear in each storage cycle of the storage device where a current storage block is located when the current storage block is abnormal when data is stored in the current storage block of the storage device, and the abnormal storage blocks are used for representing storage blocks which cannot store data in the storage device; and the first determining module is used for determining the abnormal condition of the storage device based on the distribution trend of the number of the abnormal storage blocks appearing in each storage cycle.
In an exemplary embodiment, the first determining module includes: a first determining unit for determining the distribution trend as a linear distribution or an exponential distribution; a second determination unit configured to determine a linear slope of the linear distribution and an exponential power of the exponential distribution; a third determination unit configured to determine an abnormal condition of the storage device based on the linear slope or the exponential power.
In an exemplary embodiment, the third determining unit includes: the first determining subunit is configured to determine that the storage device is in an abnormal state when the linear slope is greater than a first preset threshold; or, the second determining subunit is configured to determine that the storage device is in an abnormal state when the exponential power is greater than a second preset threshold.
In an exemplary embodiment, the apparatus further comprises one of: the anomaly level of the storage device is proportional to the value of the linear slope; the value of the linear slope is proportional to the value of the exponential power.
In an exemplary embodiment, the apparatus further includes: the first early warning module is used for determining the abnormal condition of the storage equipment based on the distribution trend among the number of the abnormal storage blocks appearing in each storage cycle, and then early warning the storage performance of other storage equipment according to the distribution trend when determining that the storage equipment is abnormal.
In an exemplary embodiment, the apparatus further includes: the first calculation module is used for calculating the ratio between the storage capacity and the writing speed of the storage equipment before acquiring the number of abnormal storage blocks appearing in each storage cycle of the storage equipment in which the current storage block is positioned under the condition that the current storage block is abnormal when data is stored in the current storage block in the storage equipment; a second determining module for determining the storage period based on the ratio.
In an exemplary embodiment, the apparatus further includes: and the first correction module is used for adding the current storage block to the number of the abnormal storage blocks to correct the distribution trend under the condition that the storage equipment has an abnormality.
According to a further embodiment of the present invention, there is also provided a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, when data is stored in the current storage block of the storage device, under the condition that the current storage block is abnormal, the number of abnormal storage blocks which are generated in each storage cycle of the storage device where the current storage block is located is obtained, wherein the abnormal storage blocks are used for representing the storage blocks which cannot store the data in the storage device; and determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle. The purpose of detecting the abnormity of the storage equipment is achieved. Therefore, the problem that the abnormality detection of the hard disk is inaccurate in the related technology can be solved, and the effect of accurately detecting the abnormality of the hard disk is achieved.
Drawings
Fig. 1 is a block diagram of a hardware configuration of a mobile terminal for determining an abnormality of a storage device according to an embodiment of the present invention;
FIG. 2 is a flow chart of an anomaly determination method of a storage device according to an embodiment of the present invention;
FIG. 3 is a flowchart of comparison of bad block data input analysis models for each cycle, according to an embodiment of the present invention;
fig. 4 is a block diagram of a structure of an abnormality determination apparatus of a storage device according to an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method embodiments provided in the embodiments of the present application may be executed in a mobile terminal, a computer terminal, or a similar computing device. Taking the operation on the mobile terminal as an example, fig. 1 is a block diagram of a hardware structure of the mobile terminal for determining the abnormality of the storage device according to the embodiment of the present invention. As shown in fig. 1, the mobile terminal may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data, wherein the mobile terminal may further include a transmission device 106 for communication functions and an input-output device 108. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program and a module of application software, such as a computer program corresponding to the abnormality determination method of the storage device in the embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the above-mentioned method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
In this embodiment, a method for determining an abnormality of a storage device is provided, and fig. 2 is a flowchart of a method for determining an abnormality of a storage device according to an embodiment of the present invention, where as shown in fig. 2, the flowchart includes the following steps:
step S202, when data is stored in a current storage block of the storage device, under the condition that the current storage block is abnormal, acquiring the number of abnormal storage blocks which are generated in each storage cycle of the storage device where the current storage block is located, wherein the abnormal storage blocks are used for representing storage blocks which cannot store data in the storage device;
in step S204, an abnormal condition of the storage device is determined based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle.
The execution subject of the above steps may be a terminal, but is not limited thereto.
The present embodiment includes, but is not limited to, a scenario of detecting an anomaly of a storage device, for example, an anomaly detection scenario of a hard disk.
In this embodiment, the storage period may be determined in a period in which the storage device is fully covered. The exception memory block is included as determined when a memory block in the memory device writes data during a memory cycle.
In the present embodiment, the distribution trend includes, but is not limited to, a linear trend of abnormal memory blocks occurring within N memory cycles.
Through the steps, when data are stored in a current storage block of the storage device, under the condition that the current storage block is abnormal, the number of abnormal storage blocks, which are generated in each storage cycle, of the storage device where the current storage block is located is obtained, wherein the abnormal storage blocks are used for representing storage blocks which cannot store the data in the storage device; and determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle. The purpose of detecting the abnormity of the storage equipment is achieved. Therefore, the problem that the abnormality detection of the hard disk is inaccurate in the related technology can be solved, and the effect of accurately detecting the abnormality of the hard disk is achieved.
In an exemplary embodiment, determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle includes:
s1, determining the distribution trend to be linear distribution or exponential distribution;
s2, determining the linear slope of the linear distribution and the exponential power of the exponential distribution;
s3, determining abnormal conditions of the storage device based on the linear slope or the exponential power.
In the present embodiment, the distribution tendency is used to represent an increasing tendency of the number of abnormal memory blocks. The distribution may be performed in chronological order.
In one exemplary embodiment, determining an abnormal condition of the storage device based on the linear slope or the exponential power comprises:
s1, determining that the storage device is in an abnormal state under the condition that the linear slope is greater than a first preset threshold value;
or the like, or, alternatively,
and S2, determining that the storage device is in an abnormal state under the condition that the exponential power is greater than a second preset threshold value.
In this embodiment, the first preset threshold and the second preset threshold may be adjusted based on different device types.
In an exemplary embodiment, the method further comprises one of:
s1, determining that the storage device is in an abnormal state under the condition that the linear slope is greater than a first preset threshold value;
and S2, determining that the storage device is in an abnormal state under the condition that the increasing speed of the linear index is greater than a second preset threshold value.
In the present embodiment, the abnormal situation includes two states: the storage equipment is in an alarm state, the number of abnormal storage blocks in each storage period is increased linearly, and the higher the linear slope is, the higher the alarm level grade is; an impending state of storage device corruption, the number of abnormal storage blocks per storage cycle increasing exponentially, the faster the exponential increase the worse the health.
In one exemplary embodiment, after determining an abnormal situation of the storage device based on a distribution trend between the number of abnormal storage blocks occurring in each storage cycle, the method further comprises:
and S1, under the condition that the storage device is determined to be abnormal, early warning is carried out on the storage performance of other storage devices according to the distribution trend.
In this embodiment, when it is determined that the storage device is damaged, data of a historical abnormal storage block of the storage device may be read, a growth curve of the abnormal storage block and the number of the abnormal storage blocks are analyzed, and an output warning of trend fitting of data of the abnormal storage block stored in the existing undamaged storage device is provided.
In an exemplary embodiment, when the data is stored in a current storage block of the storage device, and the current storage block is abnormal, before obtaining the number of abnormal storage blocks occurring in each storage cycle of the storage device in which the current storage block is located, the method further includes:
s1, calculating the ratio between the storage capacity and the writing speed of the storage device;
s2, determining a storage period based on the ratio.
In the present embodiment, the storage period calculation formula: storage capacity/writing speed.
The invention is illustrated below with reference to specific examples:
the present embodiment will be described by taking abnormality detection of a hard disk as an example:
in the embodiment, under the condition that the hard disk is periodically and fully covered, all bad blocks of the hard disk can be detected in one period, the bad block data of the hard disk in each period is recorded into a document, a bad block quantity trend graph is analyzed, and the health condition of the hard disk is judged through comparison of an analysis model.
In this embodiment, a scene that the hard disk is periodically covered fully exists, for example, if the video data storage in the security industry is in this way, the oldest data on the hard disk is covered by the new video data, and at the same time, all blocks on the hard disk are written once in one period, and when a bad block is generated in a certain sector on the hard disk, the bad block is discovered in time.
The method is used for periodically recording the bad blocks of the hard disk, and the cycle time calculation formula is as follows: the hard disk capacity/writing speed is obtained by inputting the data of the bad blocks in each period into an analysis model according to the number of the bad blocks recorded in each period, and is specifically shown in fig. 3.
In this embodiment, the analysis model determines that the hard disk is damaged in two situations:
hard disk alarm state: the number of bad blocks per period is increased linearly, and the higher the slope is, the higher the alarm level grade is.
The hard disk is about to be damaged: the number of bad blocks per cycle increases exponentially, with faster exponential increases, worse health.
In this embodiment, if the system finds that the hard disk is damaged in the operation process, historical bad block data of the hard disk is read, a growth curve and the quantity of the bad blocks are analyzed through a probability analysis model, an output early warning of trend fitting of the bad block data is given to the existing hard disk which is not damaged, and meanwhile, parameters of a correction analysis model are insufficient, if: 1. if the bad block distribution is linear distribution, obtaining the slope of the bad block distribution for correction; 2. and if the bad block distribution is exponential distribution, calculating the power of the exponent of the bad block distribution to correct the analysis model.
In summary, in the embodiment, by assuming a scene that the hard disk is periodically and fully covered, the bad block condition of the hard disk can be detected more accurately in one period; in addition, the bad block is an important index reflecting the current health condition of the hard disk, and from this point of view, the present embodiment can improve the parameters of the analysis model by analyzing the historical bad disk data, thereby improving the analysis accuracy.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
In this embodiment, an abnormality determining apparatus for a storage device is further provided, where the apparatus is used to implement the foregoing embodiments and preferred embodiments, and details are not repeated after the description is given. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 4 is a block diagram of a structure of an abnormality determination apparatus of a storage device according to an embodiment of the present invention, as shown in fig. 4, the apparatus including:
a first obtaining module 42, configured to, when data is stored in a current storage block of a storage device, and the current storage block is abnormal, obtain the number of abnormal storage blocks that occur in each storage cycle of the storage device in which the current storage block is located, where an abnormal storage block is used to indicate a storage block that cannot store data in the storage device;
a first determining module 44, configured to determine an abnormal condition of the storage device based on a distribution trend of the number of abnormal storage blocks occurring in each storage cycle.
In an exemplary embodiment, the first determining module includes:
a first determining unit for determining the distribution trend as a linear distribution or an exponential distribution;
a second determination unit configured to determine a linear slope of the linear distribution and an exponential power of the exponential distribution;
a third determination unit configured to determine an abnormal condition of the storage device based on the linear slope or the exponential power.
In an exemplary embodiment, the third determining unit includes:
the first determining subunit is configured to determine that the storage device is in an abnormal state when the linear slope is greater than a first preset threshold;
or the like, or, alternatively,
and the second determining subunit is used for determining that the storage device is in an abnormal state under the condition that the exponential power is greater than a second preset threshold value.
In an exemplary embodiment, the apparatus further comprises one of:
the anomaly level of the storage device is proportional to the value of the linear slope;
the value of the linear slope is proportional to the value of the exponential power.
In an exemplary embodiment, the apparatus further includes:
the first early warning module is used for determining the abnormal condition of the storage equipment based on the distribution trend among the number of the abnormal storage blocks appearing in each storage cycle, and then early warning the storage performance of other storage equipment according to the distribution trend when determining that the storage equipment is abnormal.
In an exemplary embodiment, the apparatus further includes:
the first calculation module is used for calculating the ratio between the storage capacity and the writing speed of the storage equipment before acquiring the number of abnormal storage blocks appearing in each storage cycle of the storage equipment in which the current storage block is positioned under the condition that the current storage block is abnormal when data is stored in the current storage block in the storage equipment;
a second determining module for determining the storage period based on the ratio.
In an exemplary embodiment, the apparatus further includes:
and the first correction module is used for adding the current storage block to the number of the abnormal storage blocks to correct the distribution trend under the condition that the storage equipment has an abnormality.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
In the present embodiment, the above-described computer-readable storage medium may be configured to store a computer program for executing the above steps.
In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
In an exemplary embodiment, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
In an exemplary embodiment, the processor may be configured to execute the above steps by a computer program.
For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary embodiments, and details of this embodiment are not repeated herein.
It will be apparent to those skilled in the art that the various modules or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device or distributed across a network of computing devices, and they may be implemented using program code executable by the computing devices, such that they may be stored in a memory device and executed by the computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. An abnormality determination method for a storage device, comprising:
when data are stored in a current storage block of a storage device, acquiring the number of abnormal storage blocks appearing in each storage cycle of the storage device where the current storage block is located under the condition that the current storage block is abnormal, wherein the abnormal storage block is used for representing a storage block which cannot store the data in the storage device;
determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks appearing in each storage cycle.
2. The method of claim 1, wherein determining the abnormal condition of the storage device based on the distribution trend of the number of abnormal storage blocks occurring in each storage cycle comprises:
determining the distribution trend to be linear distribution or exponential distribution;
determining a linear slope of the linear distribution and an exponential power of the exponential distribution;
determining an abnormal condition of the storage device based on the linear slope or the exponential power.
3. The method of claim 2, wherein determining an abnormal condition of the storage device based on the linear slope or the exponential power comprises:
determining that the storage device is in an abnormal state under the condition that the linear slope is greater than a first preset threshold value;
or the like, or, alternatively,
and determining that the storage device is in an abnormal state under the condition that the exponential power is greater than a second preset threshold value.
4. The method of claim 3, further comprising one of:
the anomaly level of the storage device is proportional to the value of the linear slope;
the value of the linear slope is proportional to the value of the exponential power.
5. The method of claim 1, wherein after determining the abnormal condition of the storage device based on the distribution trend between the number of abnormal storage blocks occurring in each storage cycle, the method further comprises:
and under the condition that the storage equipment is determined to be abnormal, early warning is carried out on the storage performance of other storage equipment according to the distribution trend.
6. The method according to claim 1, wherein when a current memory block in a memory device stores data, and the current memory block is abnormal, before obtaining the number of abnormal memory blocks in each memory cycle of the memory device in which the current memory block is located, the method further comprises:
calculating a ratio between a storage capacity and a writing speed of the storage device;
determining the storage period based on the ratio.
7. The method of claim 1, further comprising:
and when the storage device has an abnormality, adding the current storage block to the number of the abnormal storage blocks to correct the distribution trend.
8. An abnormality determination apparatus of a storage device, characterized by comprising:
the device comprises a first obtaining module, a second obtaining module and a third obtaining module, wherein the first obtaining module is used for obtaining the number of abnormal storage blocks which appear in each storage cycle of the storage device where a current storage block is located when data are stored in the current storage block of the storage device and the current storage block is abnormal, and the abnormal storage blocks are used for representing storage blocks which cannot store data in the storage device;
the first determining module is used for determining the abnormal condition of the storage device based on the distribution trend of the number of the abnormal storage blocks appearing in each storage cycle.
9. A computer-readable storage medium, in which a computer program is stored, which computer program, when being executed by a processor, carries out the method of any one of claims 1 to 7.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, and wherein the processor is arranged to execute the computer program to perform the method of any of claims 1 to 7.
CN202110977762.7A 2021-08-24 2021-08-24 Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus Pending CN113672426A (en)

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Application Number Priority Date Filing Date Title
CN202110977762.7A CN113672426A (en) 2021-08-24 2021-08-24 Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus

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Application Number Priority Date Filing Date Title
CN202110977762.7A CN113672426A (en) 2021-08-24 2021-08-24 Storage device abnormality determination method and apparatus, storage medium, and electronic apparatus

Publications (1)

Publication Number Publication Date
CN113672426A true CN113672426A (en) 2021-11-19

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Country Status (1)

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