CN111506456A - Furnace body crystal growth data multiple backup method - Google Patents

Furnace body crystal growth data multiple backup method Download PDF

Info

Publication number
CN111506456A
CN111506456A CN202010312126.8A CN202010312126A CN111506456A CN 111506456 A CN111506456 A CN 111506456A CN 202010312126 A CN202010312126 A CN 202010312126A CN 111506456 A CN111506456 A CN 111506456A
Authority
CN
China
Prior art keywords
data
crystal growth
disk
furnace body
body temperature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010312126.8A
Other languages
Chinese (zh)
Other versions
CN111506456B (en
Inventor
不公告发明人
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin Keyou Semiconductor Industry Equipment and Technology Research Institute Co Ltd
Original Assignee
Harbin Keyou Semiconductor Industry Equipment and Technology Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Harbin Keyou Semiconductor Industry Equipment and Technology Research Institute Co Ltd filed Critical Harbin Keyou Semiconductor Industry Equipment and Technology Research Institute Co Ltd
Priority to CN202010312126.8A priority Critical patent/CN111506456B/en
Publication of CN111506456A publication Critical patent/CN111506456A/en
Application granted granted Critical
Publication of CN111506456B publication Critical patent/CN111506456B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1448Management of the data involved in backup or backup restore
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21Design, administration or maintenance of databases
    • G06F16/215Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0602Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
    • G06F3/0614Improving the reliability of storage systems
    • G06F3/0619Improving the reliability of storage systems in relation to data integrity, e.g. data losses, bit errors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0628Interfaces specially adapted for storage systems making use of a particular technique
    • G06F3/0638Organizing or formatting or addressing of data
    • G06F3/0644Management of space entities, e.g. partitions, extents, pools
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/06Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
    • G06F3/0601Interfaces specially adapted for storage systems
    • G06F3/0668Interfaces specially adapted for storage systems adopting a particular infrastructure
    • G06F3/0671In-line storage system
    • G06F3/0683Plurality of storage devices
    • G06F3/0689Disk arrays, e.g. RAID, JBOD

Abstract

A furnace body crystal growth data multiple backup method belongs to the technology of processing the process parameters of a furnace body for preparing crystals. The method comprises the steps of collecting a local furnace body crystal growth data source, separating the data into furnace body temperature data and crystal growth analysis data, storing the furnace body temperature data in a furnace body temperature database, storing the crystal growth analysis data in a crystal growth analysis database, connecting the data in the furnace body temperature database and the data in the crystal growth analysis database with a firewall through a router, synchronously transmitting the data to a data storage server A and a cloud server for backup, separating the data on the cloud server into the furnace body temperature data and the crystal growth analysis data again, outputting the backup data, transmitting the data of the data storage server A to a disk matrix, wherein the disk matrix comprises a disk A, a disk B and a disk C, and the disk A, the disk B and the disk C respectively and independently backup the furnace body temperature data and the crystal growth analysis data and output the backup data. The invention can automatically realize the data multiple backup.

Description

Furnace body crystal growth data multiple backup method
Technical Field
The invention belongs to a technology for processing process parameters of a furnace body for preparing crystals, and particularly relates to a furnace body crystal growth data multiple backup method.
Background
The crystal growth furnace is used for crystal growth and has the working principle that crystal raw materials are placed in the furnace body, and the crystal raw materials are converted from gas phase, liquid phase and solid phase under the conditions of certain temperature, pressure, concentration, medium, pH and the like to form crystals with specific linear dimension.
At present, data and the score generated in the crystal growth process of a furnace body are manually backed up, but the problems of data safety and data loss are inevitable.
Disclosure of Invention
The invention aims to provide a furnace crystal growth data multiple backup method for automatically realizing data multiple backup.
The invention is realized by the following technical scheme:
a furnace crystal growth data multiple backup method comprises the following steps:
step 1, collecting a local furnace body crystal growth data source, and separating the data into furnace body temperature data and crystal growth analysis data, wherein the furnace body temperature data is stored in a furnace body temperature database, and the crystal growth analysis data is stored in a crystal growth analysis database;
step 2, connecting the data in the furnace body temperature database and the data in the crystal growth analysis database in the step 1 with a firewall through a router, and synchronously transmitting the data to a data storage server A and a cloud server for backup;
step 3, performing data separation on the data on the cloud server again to separate the data into furnace body temperature data and crystal growth analysis data for outputting backup data;
and 4, transmitting the data of the data storage server A to a disk matrix, wherein the disk matrix comprises a disk A, a disk B and a disk C, and the disk A, the disk B and the disk C respectively and independently back up furnace body temperature data and crystal growth analysis data for outputting the back-up data.
The invention relates to a furnace body crystal growth data multiple backup method, wherein the model of a module for collecting a local furnace body crystal growth data source in step 1 is K-8623 Ethernet IO8 switching value input 8-path relay output module.
The invention relates to a furnace crystal growth data multiple backup method, wherein the data separation method in step 1 comprises three steps, including data extraction, data cleaning and data loading:
the data extraction is that the data is finally put into a data warehouse after extraction, so that the main task of the data extraction is to transfer the data in different data sources into the data warehouse according to the data format in the data warehouse, the main task is the uniform data format, the data source and the data warehouse use the same database under the simpler condition, at the moment, the self-contained database connection function of a relational database can be used, so that a data warehouse server can be connected with an original system to directly carry out SQ L query, and the other condition is that when the data source uses different relational databases in the data warehouse, the data files in the database are required to be firstly exported into text files in the specified format or file types in other formats, then the obtained database files are imported into the specified database, and finally the required data are conveniently extracted in a unified manner during analysis.
Data cleaning: the data cleaning comprises four parts of missing data processing, repeated data processing, abnormal data processing and inconsistent data sorting. This part is the first step in processing data directly, directly affecting the results of subsequent processing and is therefore important. Data loss is a common situation in databases, but in order to obtain a complete information table for data mining, the data loss situation must be solved.
Loading data: in the process of loading data into the database, the method comprises two modes of full loading and incremental loading. The full loading refers to a mode of carrying out data loading after the full table is deleted; incremental loading refers to the target table updating only the data that the source table changed.
Full load is technically much simpler than incremental load. Generally, it is only necessary to empty the target table and import the data of the source table in full amount before loading the data.
The invention relates to a furnace body crystal growth data multiple backup method, wherein a data storage server A in step 2 is a local single-machine local database, the parameters of the data storage server A are classified rack type, and the structure of the data storage server A is as follows: 2U, CPU model: xeon Silver4110, scale CPU number: 1, memory type: DDR4, memory capacity: 16GB, hard disk interface type: SATA, standard hard disk capacity: 2 TB.
The invention relates to a furnace body crystal growth data multiple backup method, wherein parameters of a cloud server in the step 2 are as follows: 2, core, memory: 4G, bandwidth: 5M.
According to the furnace body crystal growth data multiple backup method, the data separation method on the cloud server in the step 3 comprises the steps of data extraction, data cleaning and data loading, and the method on the cloud server in the step 3 is the same as that of the local data separation method.
According to the furnace body crystal growth data multiple backup method, parameters of a disk A, a disk B and a disk C in a disk matrix in the step 4 are respectively 250G in capacity, 512M in cache capacity, M L C in flash memory type, 3400MB/Sec in continuous reading maximum speed, 1500MB/Sec in continuous writing maximum speed, and the size of a hard disk is a card type solid state hard disk.
The furnace body crystal growth data multiple backup method comprises the steps of 4, constructing a disk matrix to improve the storage capacity, enabling a plurality of disk drives to work in parallel to improve the data transmission rate, and adopting the RAID technology (the disk array is a disk group with huge capacity formed by combining a plurality of independent disks and utilizing the addition effect of individual disks for providing data to improve the efficiency of the whole disk system.
According to the furnace body crystal growth data multiple backup method, the two storages of the data storage server A and the cloud server are completely copied in real time, and no time delay exists; the switching time between the data storage server A and the cloud server is less than 500ms, so that the delay is avoided during system storage; hard disk drive symbols and partitions of the disk A, the disk B and the disk C are not changed due to switching between the main storage and the standby storage; the switching of the server does not affect the initialization, increment synchronization and data replication between storages; the planned shutdown of a certain storage device does not influence the work of the whole server dual-computer hot standby system; and the storage devices use a repeated data deleting technology to finish the increment synchronous work. The data storage server A and the cloud server construct dual-computer hot standby, and the mode mainly utilizes a data synchronization mode to ensure the data consistency of the main server and the standby server. Upgrading is carried out in a traditional dual-computer hot standby mode, the bottleneck that traditional dual-computer hot standby data is stored locally and can only be applied to an intranet for data storage is solved, and the functionality of traditional dual-computer hot standby is reserved.
The furnace body crystal growth data multiple backup method is a real full-redundancy scheme of 7 × 24 hours or switching, and the method can better promote the storage data by performing double-computer hot standby with a cloud server, so that the limitation that the traditional double-computer hot standby can only store data in an intranet is solved.
The furnace body crystal growth data multiple backup method has the advantages of hardware technology, the virtual tape library is a storage device which takes a disk as a medium high-level intelligent optimization, appears and is controlled in a mode of simulating a physical tape library, and disk space is simulated into a tape, so that the method has the characteristics of high backup speed and short response time.
The furnace body crystal growth data multiple backup method is characterized in that a backup/recovery software supports platforms such as Unix and Windows L inux, comprises client management, equipment media management, user rights and a software permission module, can monitor the state of a backup task, check backup history records and the like, provides convenient GUI (graphical user interface) service, manages a backup strategy, initiates a backup and recovery task, generates operation record information and the like, has high degree of automation, has high expansibility and flexibility, supports a storage environment connected in various forms, has advanced directory index structure and media management functions, and has various technologies such as high-speed parallel flow, backup of tape interoperation, tape cloning, cross-platform dynamic drive sharing and the like.
The furnace body crystal growth data multiple backup method has the technical characteristics that a professional backup software is matched with a high-performance backup device, so that a damaged system can be rapidly started up and restored, remote backup is realized, theoretically or practically, the threat and damage of various artificial misoperation or sudden natural disasters to an application system cannot be solved through local backup, in order to ensure data safety, backup data of a service system are stored in a place far away from an information center, when the application center fails to work normally when a disaster occurs, relevant measures can be taken, the backup system can be used for providing available data to complete data recovery, backup data is high in reliability, the virtual tape library with RAID protection is combined with the physical tape library with high stability, data backup efficiency and data storage stability are greatly improved, and reliability of data backup is guaranteed.
According to the furnace crystal growth data multiple backup method, multiple backup is performed by using data generated in any furnace growth process, the data backup is realized locally in a local area network, so that the risk of leakage does not exist, the safety is high, in addition, the data multiple backup can be automatically realized, and the method is convenient and fast.
Drawings
Fig. 1 is a schematic flow chart of a furnace crystal growth data multiple backup method according to the present invention.
Detailed Description
The first embodiment is as follows:
a furnace crystal growth data multiple backup method comprises the following steps:
step 1, collecting a local furnace body crystal growth data source, and separating the data into furnace body temperature data and crystal growth analysis data, wherein the furnace body temperature data is stored in a furnace body temperature database, and the crystal growth analysis data is stored in a crystal growth analysis database;
step 2, connecting the data in the furnace body temperature database and the data in the crystal growth analysis database in the step 1 with a firewall through a router, and synchronously transmitting the data to a data storage server A and a cloud server for backup;
step 3, performing data separation on the data on the cloud server again to separate the data into furnace body temperature data and crystal growth analysis data for outputting backup data;
and 4, transmitting the data of the data storage server A to a disk matrix, wherein the disk matrix comprises a disk A, a disk B and a disk C, and the disk A, the disk B and the disk C respectively and independently back up furnace body temperature data and crystal growth analysis data for outputting the back-up data.
In the furnace body crystal growth data multiple backup method according to the embodiment, step 4 is to construct a disk matrix to improve the storage capacity, and then a plurality of disk drives can work in parallel to improve the data transmission rate, and the RAID technology (a disk array is a disk group with a large capacity formed by combining a plurality of independent disks, and the performance of the entire disk system is improved by using the addition effect of providing data by individual disks.
In the furnace body crystal growth data multiple backup method in the embodiment, the two storages of the data storage server A and the cloud server are completely copied in real time, and no time delay exists; the switching time between the data storage server A and the cloud server is less than 500ms, so that the delay is avoided during system storage; hard disk drive symbols and partitions of the disk A, the disk B and the disk C are not changed due to switching between the main storage and the standby storage; the switching of the server does not affect the initialization, increment synchronization and data replication between storages; the planned shutdown of a certain storage device does not influence the work of the whole server dual-computer hot standby system; and the storage devices use a repeated data deleting technology to finish the increment synchronous work. The data storage server A and the cloud server construct dual-computer hot standby, and the mode mainly utilizes a data synchronization mode to ensure the data consistency of the main server and the standby server. Upgrading is carried out in a traditional dual-computer hot standby mode, the bottleneck that traditional dual-computer hot standby data is stored locally and can only be applied to an intranet for data storage is solved, and the functionality of traditional dual-computer hot standby is reserved.
The furnace body crystal growth data multiple backup method is a real full-redundancy scheme of 7 × 24 hours or switching, and the method can better promote the storage data by performing dual-computer hot standby with a cloud server, so that the limitation that the traditional dual-computer hot standby can only store data in an intranet is solved.
The furnace body crystal growth data multiple backup method has the advantages of hardware technology, the virtual tape library is a storage device which is high-density intelligent optimization and takes a disk as a medium, the storage device appears and is controlled in a mode of simulating a physical tape library, the disk space is simulated into a tape, the method has the advantages of being high in backup speed and short in response time, the physical tape library mainly comprises a library body, tape slots, tape drivers, manipulators, tape exchange ports, a control panel and the like, a convenient and fast graphical management interface is provided, the whole tape library system can be managed through one interface, and the physical tape library is provided with a large-capacity tape, so that the requirement of long-term storage of a large amount of historical data is met.
The furnace body crystal growth data multiple backup method according to the embodiment has the technical characteristics that backup/recovery software supports platforms such as Unix and Windows L inux, comprises client management, device media management, user rights and a software permission module, can monitor the state of a backup task, check backup history records and the like, provides convenient GUI (graphical user interface) service, manages a backup strategy, initiates a backup and recovery task, generates operation record information and the like, has high automation degree, high expansibility and flexibility, supports a storage environment with various forms of connection, has an advanced directory index structure and a media management function, and has various technologies such as high-speed parallel flow, backup of tape interoperation, tape cloning, cross-platform dynamic drive sharing and the like.
The furnace body crystal growth data multiple backup method according to the embodiment has the technical characteristics that a professional backup software is matched with a high-performance backup device, so that a damaged system can be rapidly started up and restored, remote backup is realized, theoretically or practically, the threat and damage of various artificial misoperation or sudden natural disasters to an application system cannot be solved through local backup, in order to ensure data safety, backup data of a service system are stored in a place far away from an information center, when the application center fails to work normally when a disaster occurs, relevant measures can be taken, the backup system can be used for providing available data to complete data recovery, backup data is high in reliability, the virtual tape library with RAID protection is combined with the physical tape library with high stability, data backup efficiency and data storage stability are greatly improved, and reliability of data backup is guaranteed.
According to the furnace crystal growth data multiple backup method, data generated in any furnace growth process are used for multiple backup, the data backup is locally realized in a local area network, so that the risk of leakage does not exist, the safety is high, in addition, the data multiple backup can be automatically realized, and the method is convenient and fast.
The second embodiment is as follows:
according to a furnace body crystal growth data multiple backup method described in the specific embodiment, the model of the module for collecting the local furnace body crystal growth data source in step 1 is K-8623 ethernet IO8 switching value input 8-way relay output module.
The third concrete implementation mode:
according to a furnace crystal growth data multiple backup method described in the first embodiment of the present invention, the data separation method in step 1 includes three steps.
The data extraction is that the data is finally put into a data warehouse after extraction, so that the main task of the data extraction is to transfer the data in different data sources into the data warehouse according to the data format in the data warehouse, the main task is the uniform data format, the data source and the data warehouse use the same database under the simpler condition, at the moment, the self-contained database connection function of a relational database can be used, so that a data warehouse server can be connected with an original system to directly carry out SQ L query, and the other condition is that when the data source uses different relational databases in the data warehouse, the data files in the database are required to be firstly exported into text files in the specified format or file types in other formats, then the obtained database files are imported into the specified database, and finally the required data are conveniently extracted in a unified manner during analysis.
Data cleaning: the data cleaning comprises four parts of missing data processing, repeated data processing, abnormal data processing and inconsistent data sorting. This part is the first step in processing data directly, directly affecting the results of subsequent processing and is therefore important. Data loss is a common situation in databases, but in order to obtain a complete information table for data mining, the data loss situation must be solved.
Loading data: in the process of loading data into the database, the method comprises two modes of full loading and incremental loading. The full loading refers to a mode of carrying out data loading after the full table is deleted; incremental loading refers to the target table updating only the data that the source table changed.
The fourth concrete implementation mode:
according to a method for multiple backup of furnace body crystal growth data in the first embodiment, the data storage server a in step 2 is a local single-machine local database, the parameters of which are category rack type, and the structure of which is as follows: 2U, CPU model: xeonsilver4110, the number of CPUs is scaled: 1, memory type: DDR4, memory capacity: 16GB, hard disk interface type: SATA, standard hard disk capacity: 2 TB.
The fifth concrete implementation mode:
according to a furnace body crystal growth data multiple backup method in the first embodiment, the parameters of the cloud server in the step 2 are processors: 2, core, memory: 4G, bandwidth: 5M.
The sixth specific implementation mode:
according to a furnace crystal growth data multiple backup method in the specific embodiment, the data separation method on the cloud server in the step 3 includes the steps of data extraction, data cleaning and data loading.
The furnace body crystal growth data multiple backup method comprises the steps that data are finally placed into a data warehouse after being extracted, and therefore the main task of data extraction is to transfer data in different data sources into the data warehouse according to data formats in the data warehouse, the main task of the data extraction is a unified data format.
In the furnace body crystal growth data multiple backup method according to the embodiment, the data cleaning includes four parts, namely missing data processing, repeated data processing, abnormal data processing and inconsistent data sorting. This part is the first step in processing data directly, directly affecting the results of subsequent processing and is therefore important. Data loss is a common situation in databases, but in order to obtain a complete information table for data mining, the data loss situation must be solved.
In the furnace crystal growth data multiple backup method according to this embodiment, data loading: in the process of loading data into the database, the method comprises two modes of full loading and incremental loading. The full loading refers to a mode of carrying out data loading after the full table is deleted; incremental loading refers to the target table updating only the data that the source table changed. Full load is technically much simpler than incremental load. Generally, it is only necessary to empty the target table and import the data of the source table in full amount before loading the data.
The seventh embodiment:
according to the specific embodiment, in the step 4, parameters of the disk A, the disk B and the disk C in the disk matrix are respectively 250G, 512M of cache capacity, M L C of flash memory type, 3400MB/Sec of continuous reading maximum speed, 1500MB/Sec of continuous writing maximum speed and card type solid state disk of hard disk size.

Claims (7)

1. A furnace body crystal growth data multiple backup method is characterized in that: the method comprises the following steps:
step 1, collecting a local furnace body crystal growth data source, and separating the data into furnace body temperature data and crystal growth analysis data, wherein the furnace body temperature data is stored in a furnace body temperature database, and the crystal growth analysis data is stored in a crystal growth analysis database;
step 2, connecting the data in the furnace body temperature database and the data in the crystal growth analysis database in the step 1 with a firewall through a router, and synchronously transmitting the data to a data storage server A and a cloud server for backup;
step 3, performing data separation on the data on the cloud server again to separate the data into furnace body temperature data and crystal growth analysis data for outputting backup data;
and 4, transmitting the data of the data storage server A to a disk matrix, wherein the disk matrix comprises a disk A, a disk B and a disk C, and the disk A, the disk B and the disk C respectively and independently back up furnace body temperature data and crystal growth analysis data for outputting the back-up data.
2. The furnace crystal growth data multiple backup method according to claim 1, characterized in that: the model of the module for collecting the local furnace body crystal growth data source in the step 1 is K-8623 Ethernet IO8 switching value input 8-path relay output module.
3. The furnace crystal growth data multiple backup method according to claim 1, characterized in that: the data separation method in the step 1 comprises the steps of data extraction, data cleaning and data loading.
4. The furnace crystal growth data multiple backup method according to claim 1, characterized in that: the data storage server A in the step 2 is a local single-machine local database, the parameters of which are of a category rack type and have the structure: 2U, CPU model: xeonsilver4110, the number of CPUs is scaled: 1, memory type: DDR4, memory capacity: 16GB, hard disk interface type: SATA, standard hard disk capacity: 2 TB.
5. The furnace crystal growth data multiple backup method according to claim 1, characterized in that: the parameters of the cloud server in the step 2 are that the processor: 2, core, memory: 4G, bandwidth: 5M.
6. The furnace crystal growth data multiple backup method according to claim 1, characterized in that: the data separation method on the cloud server in the step 3 comprises the steps of data extraction, data cleaning and data loading.
7. The furnace body crystal growth data multiple backup method according to claim 1, wherein parameters of the disk A, the disk B and the disk C in the disk matrix in the step 4 are respectively 250G in capacity, 512M in cache capacity, M L C in flash memory type, 3400MB/Sec in continuous reading maximum speed, 1500MB/Sec in continuous writing maximum speed and the size of the hard disk is a card type solid state hard disk.
CN202010312126.8A 2020-04-20 2020-04-20 Multiple backup method for crystal growth data of furnace body Active CN111506456B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010312126.8A CN111506456B (en) 2020-04-20 2020-04-20 Multiple backup method for crystal growth data of furnace body

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010312126.8A CN111506456B (en) 2020-04-20 2020-04-20 Multiple backup method for crystal growth data of furnace body

Publications (2)

Publication Number Publication Date
CN111506456A true CN111506456A (en) 2020-08-07
CN111506456B CN111506456B (en) 2023-04-28

Family

ID=71876225

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010312126.8A Active CN111506456B (en) 2020-04-20 2020-04-20 Multiple backup method for crystal growth data of furnace body

Country Status (1)

Country Link
CN (1) CN111506456B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102732959A (en) * 2011-04-11 2012-10-17 上海普罗新能源有限公司 Polysilicon ingot furnace and polysilicon ingot casting method
CN103226483A (en) * 2013-03-25 2013-07-31 成都瑞科电气有限公司 DHBS (dual hot-backup system) and method thereof based on SOA (service-oriented architecture) and cloud storage
CN103593264A (en) * 2013-11-28 2014-02-19 中国南方电网有限责任公司超高压输电公司南宁局 System and method for remote wide area network disaster recovery backup
CN103840961A (en) * 2012-11-23 2014-06-04 景幂机械(上海)有限公司 Dual-computer hot backup system
CN105224637A (en) * 2015-09-24 2016-01-06 珠海许继芝电网自动化有限公司 A kind of based on PostgreSQL database active and standby/the comprehensive method of cluster application
CN106502823A (en) * 2016-09-29 2017-03-15 北京许继电气有限公司 data cloud backup method and system
US10552268B1 (en) * 2018-10-05 2020-02-04 EMC IP Holding Company LLC Broken point continuous backup in virtual datacenter

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102732959A (en) * 2011-04-11 2012-10-17 上海普罗新能源有限公司 Polysilicon ingot furnace and polysilicon ingot casting method
CN103840961A (en) * 2012-11-23 2014-06-04 景幂机械(上海)有限公司 Dual-computer hot backup system
CN103226483A (en) * 2013-03-25 2013-07-31 成都瑞科电气有限公司 DHBS (dual hot-backup system) and method thereof based on SOA (service-oriented architecture) and cloud storage
CN103593264A (en) * 2013-11-28 2014-02-19 中国南方电网有限责任公司超高压输电公司南宁局 System and method for remote wide area network disaster recovery backup
CN105224637A (en) * 2015-09-24 2016-01-06 珠海许继芝电网自动化有限公司 A kind of based on PostgreSQL database active and standby/the comprehensive method of cluster application
CN106502823A (en) * 2016-09-29 2017-03-15 北京许继电气有限公司 data cloud backup method and system
US10552268B1 (en) * 2018-10-05 2020-02-04 EMC IP Holding Company LLC Broken point continuous backup in virtual datacenter

Also Published As

Publication number Publication date
CN111506456B (en) 2023-04-28

Similar Documents

Publication Publication Date Title
US9996557B2 (en) Database storage system based on optical disk and method using the system
CN100419664C (en) Incremental backup operations in storage networks
US8635187B2 (en) Method and system of performing incremental SQL server database backups
CN102012789B (en) Centralized management type backup and disaster recovery system
CN102521072B (en) Virtual tape library equipment and data recovery method
CN100524235C (en) Recovery operations in storage networks
US20060004890A1 (en) Methods and systems for providing directory services for file systems
CN102063348B (en) Partition table information backup method and device and storage system
US10783040B2 (en) Apparatus, system and method for data collection, import and modeling
CN101727291B (en) System and method for embedded integrated virtual tape library
CN101777017A (en) Rapid recovery method of continuous data protection system
US20130254501A1 (en) Storage apparatus and data storage method
CN106649467A (en) Blue-ray disc jukebox archiving management method and system
CN107885616A (en) A kind of mass small documents back-up restoring method based on file system parsing
US20160019247A1 (en) Building a metadata index from source metadata records when creating a target volume for subsequent metadata access from the target volume
CN104583966B (en) For the backup of deduplication file system and recovery system and corresponding server and method
US8190834B2 (en) Process for contiguously streaming data from a content addressed storage system
CN102609486A (en) Data reading/writing acceleration method of Linux file system
CN103942117B (en) A kind of data back up method, apparatus and system
CN104142943A (en) Database expansion method and database
CN111506456B (en) Multiple backup method for crystal growth data of furnace body
CN103714089A (en) Method and system of rolling back cloud database
CN102831036A (en) Continuous data protection method based on disk partition
CN101236481A (en) Apparatus, system, and method for uninterrupted storage configuration
CN114079616B (en) Redundancy method for database of non-hot standby disk array server

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant