CN115857826A - Ship industrial control software data storage display system - Google Patents
Ship industrial control software data storage display system Download PDFInfo
- Publication number
- CN115857826A CN115857826A CN202211690185.4A CN202211690185A CN115857826A CN 115857826 A CN115857826 A CN 115857826A CN 202211690185 A CN202211690185 A CN 202211690185A CN 115857826 A CN115857826 A CN 115857826A
- Authority
- CN
- China
- Prior art keywords
- data
- storage
- repeated
- industrial control
- read
- 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
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a data storage and display system of ship industrial control software, which relates to the technical field of data storage and solves the technical problem that the read-write rates of partial stored data are too low due to the storage mode of different stored data, the data stored in a database are quickly read, the stored data are subjected to pre-storage analysis processing, an optimal preset storage partition for storing the corresponding data is obtained according to the read-write rates of different data of the preset storage partition, the fastest read-write rate and the best overall effect of the corresponding data are obtained in the storage partition, the storage partition in the database is confirmed according to the preset storage partition, and the subsequent storage partition is confirmed in a pre-storage mode, so that the read-write rate can be fully known, excessive operation is not needed, and the overall storage effect of the corresponding data is improved.
Description
Technical Field
The invention belongs to the technical field of data storage, and particularly relates to a data storage and display system for ship industrial control software.
Background
Industrial control software is so-called industrial control software in a narrow sense. Since the adoption of the programmable controller, industrial control software becomes an integral part of industrial automation, but in practical application, the control software is not isolated, but is integrated with other software to play the due role.
The patent publication No. CN112685335B discloses a data storage system, which includes N processing core modules, M first cache modules, and a second cache module, where the N processing core modules are integrated on an FPGA, and a real-time system is loaded in the first processing core module 1-N-1, and caches received user data in the first cache modules, the stored data is finally collected to the second cache module by the processing core modules, and a non-real-time system is loaded in the N processing core module, and can respond to a user application operation instruction with weak time sensitivity. The whole data storage system distinguishes real-time data and non-real-time data, realizes data cache by adopting the multi-level processing core module integrated in the FPGA aiming at the real-time data, responds and processes by adopting the N number processing core module loaded on the non-real-time system aiming at the non-real-time data, can effectively avoid the blockage in the data storage process, and can realize the data cache.
The ship industrial control software can generate a large amount of industrial control data in the specific operation process, the subsequent processing of the industrial control data is needed, and the industrial control data needs to be stored in advance.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; therefore, the invention provides a data storage and display system for ship industrial control software, which is used for solving the technical problem that the read-write speed of part of stored data is too low due to the storage mode aiming at different stored data and different corresponding read-write speeds.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a data storage and display system for ship industrial control software, including a data acquisition terminal, a storage management center, a display terminal and a database;
the storage management center comprises a repeated data processing unit, a data pre-storage analysis unit, an adaptive partition library, a partition library recording unit and a threshold value unit;
the data acquisition terminal is used for acquiring industrial control data generated by ship industrial control software and transmitting the acquired industrial control data to the storage management center for pre-storage analysis processing;
the repeated data processing unit in the storage management center analyzes and processes the collected industrial control data, extracts and replaces the repeated data in the industrial control data, and transmits the industrial control data after replacement to the data prestoring and analyzing unit;
the adaptive partition library is internally provided with a plurality of groups of different storage partitions, wherein specific capacity parameters of the storage partitions are set and drawn by an operator;
the data prestoring analysis unit stores different data to be processed in different storage partitions in sequence, reads and writes the same data to be processed in different storage partitions, and obtains corresponding read-write speed and corresponding read-write time, so that the optimal storage partition is determined.
Preferably, the specific manner of extracting and replacing the repeated data in the industrial control data by the repeated data processing unit is as follows:
carrying out denoising processing on a plurality of groups of industrial control data in advance, removing data noise acquired in the acquisition process, and carrying out repeated data replacement processing on the industrial control data after removing;
extracting corresponding repeated data from the big data cloud, sequentially comparing the repeated data with data in the industrial control data, replacing the repeated data in the industrial control data by adopting repeated marks, extracting the repeated data in the industrial control data, filling the extracted positions by adopting the repeated marks, and replacing the repeated data by adopting the repeated marks to obtain data to be processed;
and generating a repeated data matching table according to the repeated marks and the corresponding repeated data, transmitting the repeated data matching table to a database for storage, and transmitting the data to be processed after the repeated data is replaced to a data prestoring analysis unit.
Preferably, the data pre-storage analysis unit reads and writes the same data to be processed in different storage partitions in a specific manner:
acquiring the total read-write time length of the same data to be processed of different storage partitions, and marking the total read-write time length as SC i Where i represents different memory partitions, the total duration SC of the read and write i Comparing with a built-in threshold value Y1 in a threshold value unit when SC is used i When the read-write time length of the storage partition is not more than Y1, carrying out next processing, otherwise, representing that the read-write time length of the storage partition is unqualified, and not carrying out any processing;
then, the read-write rate curve of the same data to be processed of different storage partitions is obtained, and the maximum rate value SLmax of the read-write rate curve is obtained from the read-write rate curve i Then, the minimum SLmin of the read-write rate curve is obtained from the read-write rate curve i ；
Maximum rate value SLmax i And rate minimum value SLmin i Performing merging treatment by using SP i ＝SLmax i ×C1+SLmin i Obtaining the adaptation value SP of the same data to be processed of different storage partitions by multiplying C2 i Wherein, C1 and C2 are both preset fixed coefficient factors;
then the adapted value SP is used i And corresponding total read-write duration SC i Performing recombination treatment using YC i ＝SP i ×A1+SC i Obtaining the pre-stored parameters YC of different memory partitions by x A2 i Wherein A1 and A2 are both preset fixed coefficient factors, and pre-stored parameters YC belonging to the same data to be processed i Performing integration;
prestored parameters YC from the same data to be processed i Extracting the minimum value internally, and transmitting the determined storage partition data to the partition library according to the storage partition mark iAnd recording the data in the unit.
Preferably, the area library recording unit confirms the storage partitions with the same storage partition data in the database according to the storage partition marks i, stores the corresponding data to be processed in the designated storage partition in the database, records the partition numbers of the stored partitions, and transmits the recording result to the display terminal.
Preferably, the display terminal displays the recording result for external personnel to check, and the external personnel completes the repeated marks in the data to be processed according to the displayed recording result and the stored repeated data matching table, so as to obtain the originally acquired industrial control data.
Compared with the prior art, the invention has the beneficial effects that: the method comprises the steps of collecting industrial control data generated by ship industrial control software, transmitting the collected industrial control data to a storage management center, replacing repeated data in the industrial control data by adopting repeated marks, generating a repeated data matching table according to a replacement result, subsequently supplementing corresponding repeated data through the repeated data matching table, and adopting a mode of replacing the repeated data by the repeated marks, so that the storage capacity of the whole stored data can be fully reduced, and the storage space in a database can be reasonably utilized;
meanwhile, in order to quickly read data stored in the database, the stored data is subjected to pre-storage analysis processing, an optimal preset storage partition for storing the corresponding data is obtained according to the read-write rates of different data of the preset storage partition, the read-write rate of the corresponding data is fastest in the storage partition, the overall effect is best, the storage partition in the database is confirmed according to the preset storage partition, the subsequent storage partition is confirmed in a pre-storage mode, the read-write rate can be fully known, excessive operation is not needed, and the overall storage effect of the corresponding data is improved.
Drawings
Fig. 1 is a schematic diagram of the principle of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present application provides a data storage and display system for ship industrial control software, which includes a data acquisition terminal, a storage management center, a display terminal and a database;
the data acquisition terminal is electrically connected with the input end of the storage management center, the storage management center is electrically connected with the input end of the display terminal, and the storage management center is in bidirectional connection with the database;
the storage management center comprises a repeated data processing unit, a data pre-storage analysis unit, an adaptive partition library, a partition library recording unit and a threshold unit, wherein the repeated data processing unit is electrically connected with the input end of the data pre-storage analysis unit;
the data acquisition terminal is used for acquiring industrial control data generated by ship industrial control software and transmitting the acquired industrial control data to the storage management center for pre-storage analysis processing;
the repeated data processing unit in the storage management center analyzes and processes the collected industrial control data, extracts and replaces the repeated data in the industrial control data, and transmits the industrial control data after the replacement is completed to the data prestoring and analyzing unit, wherein the specific mode of replacement is as follows:
denoising a plurality of groups of industrial control data in advance, removing noise of the data acquired in the acquisition process, and then replacing repeated data of the industrial control data;
extracting corresponding repeated data from a big data cloud, sequentially comparing the repeated data with data in industrial control data, replacing the repeated data in the industrial control data by adopting repeated marks, extracting the repeated data in the industrial control data, filling the extracted positions by adopting the repeated marks, and replacing the repeated data by adopting the repeated marks to obtain data to be processed (assuming that a group of industrial control data is 1, 2, 3, 4, 5, 6 and 7, wherein 3 and 7 are the repeated data, different repeated marks are adopted to replace different data, and the expression form of the industrial control data after replacement is 1, 2 and CF 1 、4、5、6、CF 2 ，CF 1 Replacement of duplicate data 3, CF 2 Replacement of the duplicate data 7);
and generating a repeated data matching table according to the repeated marks and the corresponding repeated data, transmitting the repeated data matching table to a database for storage, and transmitting the data to be processed after the repeated data is replaced to a data prestoring analysis unit.
The adaptive partition library is internally provided with a plurality of groups of different storage partitions, wherein specific capacity parameters of the storage partitions are set and drawn by an operator;
the data prestoring analysis unit sequentially stores different data to be processed in different storage partitions, reads and writes the same data to be processed in different storage partitions, and acquires corresponding read-write speed and corresponding read-write time so as to determine the optimal storage partition, wherein the specific read-write mode is as follows:
acquiring the total read-write time length of the same data to be processed of different storage partitions, and marking the total read-write time length as SC i Where i represents different memory partitions, the total duration SC of the read and write i Comparing with an internal threshold Y1 in the threshold unit, wherein the internal threshold Y1 is a preset value, the specific value is drawn up by an operator according to experience, and when SC is obtained i When the read-write time length of the storage partition is less than or equal to Y1, carrying out next processing, otherwise, representing that the read-write time length of the storage partition is unqualified, and not carrying out any processing;
reading and writing the same data to be processed in different storage partitionsObtaining a rate curve, and obtaining the maximum rate value SLmax of the read-write rate curve from the read-write rate curve i Then, the minimum SLmin of the read-write rate curve is obtained from the read-write rate curve i ；
Maximum rate value SLmax i And rate minimum value SLmin i Performing combination treatment by using SP i ＝SLmax i ×C1+SLmin i Obtaining the adaptation value SP of the same data to be processed of different storage partitions by multiplying C2 i Wherein, C1 and C2 are both preset fixed coefficient factors;
then the adapted value SP is used i And corresponding total read-write duration SC i Performing recombination treatment using YC i ＝SP i ×A1+SC i Obtaining the pre-stored parameters YC of different memory partitions by x A2 i Wherein A1 and A2 are both preset fixed coefficient factors, and pre-stored parameters YC belonging to the same data to be processed i Performing integration;
prestored parameters YC from the same data to be processed i And (5) extracting the minimum value, and transmitting the determined storage partition data to the region library recording unit according to the storage partition mark i.
An internal threshold Y1 is arranged in the threshold unit, and the internal threshold Y1 is provided to a data prestoring and analyzing unit, wherein the volume value of the internal threshold Y1 is drawn up by an operator according to experience;
the region library recording unit confirms the storage regions with the same storage region data in the database according to the storage region marks i, stores the corresponding data to be processed in the appointed storage region in the database, records the region numbers of the stored regions and transmits the recording result to the display terminal;
the display terminal displays the recording result for external personnel to check, the external personnel can quickly search the specified data to be processed according to the displayed recording result, and then the repeated marks in the data to be processed are filled according to the stored repeated data matching table, so that the originally acquired industrial control data are obtained.
Part of data in the formula is obtained by removing dimension and taking the value to calculate, and the formula is obtained by simulating a large amount of collected data through software and is closest to a real situation; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or obtained through simulation of a large amount of data.
The working principle of the invention is as follows: acquiring industrial control data generated by ship industrial control software in advance, transmitting the acquired industrial control data to a storage management center, replacing repeated data in the industrial control data by adopting repeated marks, generating a repeated data matching table according to a replacement result, subsequently supplementing corresponding repeated data through the repeated data matching table, and adopting a mode of replacing the repeated data by adopting the repeated marks, so that the storage capacity of the whole stored data can be fully reduced, and the storage space in a database can be reasonably utilized;
meanwhile, in order to quickly read data stored in the database, the stored data is subjected to pre-storage analysis processing, an optimal preset storage partition for storing corresponding data is obtained according to the read-write rates of different data of the preset storage partition, the read-write rate of the corresponding data is fastest in the storage partition, the overall effect is best, the storage partition in the database is confirmed according to the preset storage partition, the subsequent storage partition is confirmed in a pre-storage mode, the read-write rate can be fully known, excessive operation is not needed, and the overall storage effect of the corresponding data is improved.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (5)
1. A ship industrial control software data storage and display system is characterized by comprising a data acquisition terminal, a storage management center, a display terminal and a database;
the storage management center comprises a repeated data processing unit, a data pre-storage analysis unit, an adaptive partition library, a partition library recording unit and a threshold unit;
the data acquisition end is used for acquiring industrial control data generated by ship industrial control software and transmitting the acquired industrial control data to the storage management center for pre-storage analysis processing;
the repeated data processing unit in the storage management center analyzes and processes the collected industrial control data, extracts and replaces the repeated data in the industrial control data, and transmits the industrial control data after replacement to the data prestoring and analyzing unit;
the adaptive partition library is internally provided with a plurality of groups of different storage partitions, wherein specific capacity parameters of the storage partitions are set and drawn by an operator;
the data prestoring analysis unit stores different data to be processed in different storage partitions in sequence, reads and writes the same data to be processed in different storage partitions, and obtains corresponding read-write speed and corresponding read-write time, so that the optimal storage partition is determined.
2. The data storage and display system of the industrial control software for the ship according to claim 1, wherein the repeated data processing unit extracts and replaces the repeated data in the industrial control data in a specific manner that:
denoising a plurality of groups of industrial control data in advance, removing noise of the data acquired in the acquisition process, and then replacing repeated data of the industrial control data;
extracting corresponding repeated data from the big data cloud, sequentially comparing the repeated data with data in the industrial control data, replacing the repeated data in the industrial control data by adopting repeated marks, extracting the repeated data in the industrial control data, filling the extracted positions by adopting the repeated marks, and replacing the repeated data by adopting the repeated marks to obtain data to be processed;
and generating a repeated data matching table according to the repeated marks and the corresponding repeated data, transmitting the repeated data matching table to a database for storage, and transmitting the data to be processed after the repeated data is replaced to a data prestoring analysis unit.
3. The data storage and display system of industrial ship control software according to claim 2, wherein the data pre-storage and analysis unit reads and writes the same data to be processed in different storage partitions in a specific manner:
acquiring the total read-write time length of the same data to be processed of different storage partitions, and marking the total read-write time length as SC i Where i represents different memory partitions, the total duration SC of the read and write i Comparing with a built-in threshold value Y1 in a threshold value unit when SC is used i When the read-write time length of the storage partition is not more than Y1, carrying out next processing, otherwise, representing that the read-write time length of the storage partition is unqualified, and not carrying out any processing;
then, the read-write rate curve of the same data to be processed of different storage partitions is obtained, and the maximum rate value SLmax of the read-write rate curve is obtained from the read-write rate curve i Then, the minimum SLmin of the read-write rate curve is obtained from the read-write rate curve i ；
Maximum rate value SLmax i And rate minimum value SLmin i Performing merging treatment by using SP i ＝SLmax i ×C1+SLmin i Obtaining the adaptation value SP of the same data to be processed of different storage partitions by multiplying C2 i Wherein, C1 and C2 are both preset fixed coefficient factors;
then the adapted value SP is used i And corresponding total read-write duration SC i Performing recombination treatment using YC i ＝SP i ×A1+SC i Obtaining the pre-stored parameters YC of different memory partitions by x A2 i Wherein A1 and A2 are both preset fixed coefficient factors, and pre-stored parameters YC belonging to the same data to be processed i Performing integration;
prestored parameters YC from the same data to be processed i Inner extracted minimum value, according to the storage partition mark i, willAnd transmitting the determined storage partition data to the library recording unit.
4. The data storage and display system of industrial ship control software according to claim 3, wherein the bank recording unit confirms the storage partitions with the same storage partition data in the database according to the storage partition mark i, stores the corresponding data to be processed in the designated storage partition in the database, records the partition numbers of the stored partitions, and transmits the recording result to the display terminal.
5. The data storage and display system for the industrial control software of ships according to claim 4, wherein the display terminal displays the recorded result for external personnel to check, and the external personnel completes the repeated marks in the data to be processed according to the displayed recorded result and the stored repeated data matching table, so as to obtain the originally acquired industrial control data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211690185.4A CN115857826B (en) | 2022-12-27 | 2022-12-27 | Ship industrial control software data storage and display system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211690185.4A CN115857826B (en) | 2022-12-27 | 2022-12-27 | Ship industrial control software data storage and display system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115857826A true CN115857826A (en) | 2023-03-28 |
| CN115857826B CN115857826B (en) | 2023-09-22 |
Family
ID=85653528
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211690185.4A Active CN115857826B (en) | 2022-12-27 | 2022-12-27 | Ship industrial control software data storage and display system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115857826B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116776341A (en) * | 2023-04-23 | 2023-09-19 | 安徽安天利信工程管理股份有限公司 | File management system for provider database |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216821A (en) * | 2007-01-05 | 2008-07-09 | 中兴通讯股份有限公司 | Data acquisition system storage management method |
| KR20130086491A (en) * | 2012-01-25 | 2013-08-02 | 인포뱅크 주식회사 | Recording medium, method and system for integration data base in building |
| US20140059277A1 (en) * | 2011-01-13 | 2014-02-27 | Indilinx Co., Ltd. | Storage for adaptively determining a processing technique with respect to a host request based on partition data and operating method for the storage device |
| CN107506146A (en) * | 2017-08-29 | 2017-12-22 | 郑州云海信息技术有限公司 | A kind of data-storage system |
| CN108287890A (en) * | 2018-01-17 | 2018-07-17 | 中国科学院寒区旱区环境与工程研究所 | Data managing method and device |
| US20190317686A1 (en) * | 2018-07-16 | 2019-10-17 | Beijing Baidu Netcom Science Technology Co., Ltd. | Method, apparatus, device and storage medium for processing data location of storage device |
| CN112685335A (en) * | 2020-12-28 | 2021-04-20 | 湖南博匠信息科技有限公司 | Data storage system |
| CN113835877A (en) * | 2021-08-19 | 2021-12-24 | 重庆恩谷信息科技有限公司 | Remote data information storage system based on big data |
| CN114415956A (en) * | 2022-01-17 | 2022-04-29 | 国网新疆电力有限公司信息通信公司 | Classified storage device for electronic information technology data processing and storage method thereof |
| CN114942923A (en) * | 2022-07-11 | 2022-08-26 | 深圳新闻网传媒股份有限公司 | Cloud platform-based unified management system for big data calculation and analysis |
| CN114997843A (en) * | 2022-08-03 | 2022-09-02 | 清华大学苏州汽车研究院（吴江） | Enterprise operation management information storage system |
| CN115248578A (en) * | 2022-09-22 | 2022-10-28 | 南京旭上数控技术有限公司 | Industrial equipment data acquisition method |
-
2022
- 2022-12-27 CN CN202211690185.4A patent/CN115857826B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101216821A (en) * | 2007-01-05 | 2008-07-09 | 中兴通讯股份有限公司 | Data acquisition system storage management method |
| US20140059277A1 (en) * | 2011-01-13 | 2014-02-27 | Indilinx Co., Ltd. | Storage for adaptively determining a processing technique with respect to a host request based on partition data and operating method for the storage device |
| KR20130086491A (en) * | 2012-01-25 | 2013-08-02 | 인포뱅크 주식회사 | Recording medium, method and system for integration data base in building |
| CN107506146A (en) * | 2017-08-29 | 2017-12-22 | 郑州云海信息技术有限公司 | A kind of data-storage system |
| CN108287890A (en) * | 2018-01-17 | 2018-07-17 | 中国科学院寒区旱区环境与工程研究所 | Data managing method and device |
| US20190317686A1 (en) * | 2018-07-16 | 2019-10-17 | Beijing Baidu Netcom Science Technology Co., Ltd. | Method, apparatus, device and storage medium for processing data location of storage device |
| CN112685335A (en) * | 2020-12-28 | 2021-04-20 | 湖南博匠信息科技有限公司 | Data storage system |
| CN113835877A (en) * | 2021-08-19 | 2021-12-24 | 重庆恩谷信息科技有限公司 | Remote data information storage system based on big data |
| CN114415956A (en) * | 2022-01-17 | 2022-04-29 | 国网新疆电力有限公司信息通信公司 | Classified storage device for electronic information technology data processing and storage method thereof |
| CN114942923A (en) * | 2022-07-11 | 2022-08-26 | 深圳新闻网传媒股份有限公司 | Cloud platform-based unified management system for big data calculation and analysis |
| CN114997843A (en) * | 2022-08-03 | 2022-09-02 | 清华大学苏州汽车研究院（吴江） | Enterprise operation management information storage system |
| CN115248578A (en) * | 2022-09-22 | 2022-10-28 | 南京旭上数控技术有限公司 | Industrial equipment data acquisition method |
Non-Patent Citations (3)
| Title |
|---|
| BING ZHU等: "General Fractional Repetition Codes for Distributed Storage Systems", IEEE COMMUNICATIONS LETTERS * |
| 仰燕兰;叶桦;费树岷;: "车辆定位监控系统数据库的设计与优化", 东南大学学报(自然科学版), no. 1 * |
| 詹艳艳;: "数据采集系统并行存储的实现", 科技资讯, no. 04 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116776341A (en) * | 2023-04-23 | 2023-09-19 | 安徽安天利信工程管理股份有限公司 | File management system for provider database |
| CN116776341B (en) * | 2023-04-23 | 2023-11-24 | 安徽安天利信工程管理股份有限公司 | Provider database file management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115857826B (en) | 2023-09-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11913854B2 (en) | Method and system for fault diagnosis with small samples of power equipment based on virtual and real twin spaces | |
| CN105209988B (en) | Supervisor control and control device | |
| CN106960219A (en) | Image identification method and device, computer equipment and computer-readable medium | |
| CN106796716A (en) | Apparatus and method for providing super-resolution for low-resolution image | |
| CN115857826A (en) | Ship industrial control software data storage display system | |
| CN106779057A (en) | The method and device of the calculating binary neural network convolution based on GPU | |
| CN109033309B (en) | Data processing method, device, equipment and storage medium | |
| CN106779051A (en) | A kind of convolutional neural networks model parameter processing method and system | |
| CN106055654A (en) | Heterogeneous data integration method and device | |
| CN116402117B (en) | Image classification convolutional neural network pruning method and core particle device data distribution method | |
| CN110543869A (en) | Ball screw service life prediction method and device, computer equipment and storage medium | |
| CN114757637A (en) | Credit approval method, credit approval device, credit approval equipment and credit approval storage medium based on decision engine | |
| US11501045B2 (en) | Method for analyzing a simulation of the execution of a quantum circuit | |
| CN108334582A (en) | The compression method of historical data in a kind of real-time data base | |
| CN115578724A (en) | Apple picking method, system, equipment and storage medium based on target identification | |
| CN101950368B (en) | Recognition method of storage capacity of 24C series chip | |
| CN109474851A (en) | Video conversion method, device and equipment | |
| CN115860141A (en) | Automatic machine learning interactive black box visual modeling method and system | |
| US11669773B2 (en) | Electronic devices generating verification vector for verifying semiconductor circuit and methods of operating the same | |
| CN108920097A (en) | A kind of three-dimensional data processing method based on Laden Balance | |
| CN114781328A (en) | Method for visually arranging business process based on plaintext file | |
| CN108876853A (en) | Image position method, device, system and storage medium | |
| US20200380397A1 (en) | Method for analyzing a simulation of the execution of a quantum circuit | |
| CN110516659A (en) | The recognition methods of ball-screw catagen phase, device, equipment and storage medium | |
| CN112767350B (en) | Method, device, equipment and storage medium for predicting maximum section of thromboelastography |
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 |