CN112835750B - Data processing method and data processing system - Google Patents
Data processing method and data processing system Download PDFInfo
- Publication number
- CN112835750B CN112835750B CN201911159102.7A CN201911159102A CN112835750B CN 112835750 B CN112835750 B CN 112835750B CN 201911159102 A CN201911159102 A CN 201911159102A CN 112835750 B CN112835750 B CN 112835750B
- Authority
- CN
- China
- Prior art keywords
- data
- processing
- output
- correction
- bit
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2205—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested
- G06F11/2221—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing using arrangements specific to the hardware being tested to test input/output devices or peripheral units
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2289—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by configuration test
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/40—Transformation of program code
- G06F8/41—Compilation
Abstract
The application discloses a data processing method and a data processing system, wherein the method comprises the following steps: naming the data according to a preset naming rule to be used as original data, and placing the original data under a specified directory. And removing invalid data in the original data, and using the remaining original data as output data. The first correction data and the second correction data are output after median processing and bit operation processing are respectively performed on first data and second data in the output data, and the third correction data is output after mean processing is performed on third data in the output data. The first correction data, the second correction data, and the third correction data are acquired as configuration data.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a data processing method and a data processing system.
Background
In the mass production of Printed Circuit Boards (PCBs), in order to ensure that the performance parameters of each PCB are maintained within a certain range, calibration of the relevant parameters is required, and one of the parameters is a Double Data Rate (DDR) parameter.
Currently, some platforms have printed circuit boards that automatically calibrate the DDR parameters when the system is started. In other platforms, the DDR parameters in each printed circuit board need to be corrected by a calibration tool, and even if the DDR parameters of the same batch of printed circuit boards are corrected, sampling is required to determine the fluctuation range of the DDR parameters, which results in a large workload.
Disclosure of Invention
To solve the foregoing problems, an embodiment of the present application provides a data processing method and a data processing system to solve the problem of a large workload when correcting DDR parameters in a same batch of printed circuit boards in the prior art.
In a first aspect, an embodiment of the present application provides a data processing method, where the data processing method includes: naming the data according to a preset naming rule to be used as original data, and placing the original data under a specified directory. And removing invalid data in the original data, and using the residual original data as output data. The first correction data and the second correction data are output after median processing and bit operation processing are respectively performed on first data and second data in the output data, and the third correction data is output after mean processing is performed on third data in the output data. The first correction data, the second correction data, and the third correction data are acquired as configuration data.
In one embodiment, the data is a data set of performance parameters in a printed circuit board. Thus, the data acquired by the data processing method at the beginning is the most comprehensive data.
In one embodiment, the first data and the second data are subjected to median processing to obtain four 2-bit 16-system end point values, and the four 2-bit 16-system end point values are subjected to bit operation processing to obtain four 8-bit 16-system end point values; and the third data is a fixed value after mean value processing. Therefore, the required configuration data can be obtained by performing corresponding operation processing on the first data, the second data and the third data in the output data.
In an embodiment, the invalid data includes non-processable parameter data of the first data, the second data and the third data, and non-processable parameter data other than the first data, the second data and the third data. Therefore, by defining invalid data, the data when the output data is operated can be ensured to be the required data, and the efficiency of operation processing can be improved.
In one embodiment, the process of removing the invalid data is executed by a script program, and the operation processing on the output data is executed by a processing program. Therefore, the data processing method corrects the DDR parameter through two different programming languages, and can utilize the respective advantages of the two programming languages to improve the processing efficiency.
In a second aspect, an embodiment of the present application provides a data processing system, including: the system comprises a presetting unit, a data processing unit and a data processing unit, wherein the presetting unit is used for naming data according to a preset naming rule to be used as original data and placing the original data under a specified directory; the screening unit is used for removing invalid data in the original data and taking the residual original data as output data; a processing unit, configured to perform median processing and bit operation processing on first data and second data in the output data to output first correction data and second correction data, and perform mean processing on third data in the output data to output third correction data, respectively; a configuration unit configured to acquire the first correction data, the second correction data, and the third correction data as configuration data.
In one embodiment, the data is a data set of performance parameters in a printed circuit board. Thus, the data that the data processing system initially acquires is the most comprehensive data.
In one embodiment, the first data and the second data are subjected to median processing to obtain four 2-bit 16-system end point values, and the four 2-bit 16-system end point values are subjected to bit operation processing to obtain four 8-bit 16-system end point values; and the third data is a fixed value after being subjected to mean value processing. Therefore, the data processing system can obtain the required configuration data by performing corresponding operation processing on the first data, the second data and the third data in the output data.
In an embodiment, the invalid data includes non-processable parameter data of the first data, the second data and the third data, and non-processable parameter data other than the first data, the second data and the third data. Therefore, the data processing system can ensure that the data when the output data is subjected to the arithmetic processing is the required data through the definition of the invalid data, and the efficiency of the arithmetic processing is improved.
In one embodiment, the process of removing the invalid data is executed by a script program, and the operation processing on the output data is executed by a processing program. Therefore, the data processing system corrects the DDR parameter through two different program languages, and can utilize the respective advantages of the two program languages, so that the processing efficiency is improved.
Compared with the prior art, the data processing method and the data processing system disclosed by the embodiment of the application comprise two different types of execution programs, and according to different characteristics of the two programming languages, the difficulty and complexity of data processing are greatly reduced under the condition based on the Linux C compiling environment. When a large number of data sets with different DDR parameters are faced, the user side only needs to rename the data files to be processed and then place the data files into the designated directory, and modifies the corresponding parameters, so that the data processing work can be completed quickly, and the time and the energy consumed by the data processing flow are greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a data processing method disclosed in an embodiment of the present application;
FIG. 2 is a block diagram of a data processing system according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of the operation of a screening unit and a processing unit in the data processing system of FIG. 2.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The following description of the various embodiments refers to the accompanying drawings that illustrate specific embodiments in which the invention may be practiced. Directional phrases used in this disclosure, such as, for example, "upper," "lower," "front," "rear," "left," "right," "inner," "outer," "side," and the like, refer to the orientation of the appended drawings and are therefore used in a better and clearer sense of description and understanding of the present invention rather than to indicate or imply that the device or element so referred to must have a particular orientation, be constructed and operated in a particular orientation, and is therefore not to be considered limiting of the present invention. In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; may be a mechanical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the present application, "of", "corresponding" and "corresponding" may be sometimes used in combination, and it should be noted that the intended meaning is consistent when the difference is not emphasized. In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish identical items or similar items with substantially identical functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions.
Please refer to fig. 1, which is a flowchart illustrating a data processing method according to an embodiment of the present disclosure. In the embodiment of the present application, the data processing method is applied to a data processing system, and the data processing system may be applied to a Linux C compiling environment or other compiling environments, which is not specifically limited in the embodiment of the present application. The Data processing system can optimize the correction process of Double Data Rate (DDR) parameters in certain chip platforms, and reduce the time and energy consumed by the Data processing process. In the embodiment of the present application, the data processing system is applied to an imx chip platform, and may also be applied to other chip platforms that cannot automatically correct DDR parameters.
As shown in fig. 1, the data processing method may at least include the following steps:
s101, naming the data according to a preset naming rule to be used as original data, and placing the original data under a specified directory.
In the embodiment of the present application, the data is a data set of performance parameters in the printed circuit board.
In the embodiment of the application, in order to reduce the complexity and workload when the subsequent process directly processes the data (i.e., the data set of the DDR parameters), the data needs to be renamed according to a predetermined naming rule and then output as original data, and then the original data is placed in a specified directory to improve the processing efficiency of the subsequent process.
In the embodiment of the present application, the naming rule is: the time-data type-data category, and the naming rule may also be modified according to actual needs, which is not specifically limited in the embodiment of the present application.
In this embodiment of the present application, the specified directory is a Data folder under a system packing directory, and the specified directory may also be modified according to actual needs, which is not specifically limited in this embodiment of the present application.
And S102, removing invalid data in the original data, and taking the residual original data as output data.
In the embodiment of the application, after the renamed original data are acquired under the specified directory, invalid data in the original data are removed, and the remaining original data after the invalid data are removed are used as output data.
In an embodiment of the present application, the output data includes first data, second data, and third data. The first data is a data set of a bidirectional data filtering (DQS Gating) parameter, the second data is a data set of a Read and Write delay (Read and Write Leveling) parameter, and the third data Write Leveling (Write Leveling) is a data set of a parameter.
In the embodiment of the present application, the invalid data is parameter data that cannot be processed or does not need to be processed in a subsequent process. That is, the removed invalid data includes the parameter data that cannot be processed in the first data, the second data, and the third data, and also includes the parameter data that does not need to be processed except for the first data, the second data, and the third data. These non-processable parametric data include: null values, data out of range, data with values that are scrambled, and the like. Of course, the content of the invalid data may also be deleted or added according to actual needs, which is not specifically limited in the embodiment of the present application.
In the embodiment of the present application, the flow of removing the invalid data is executed by the written Shell script, and the type of the script program may also be changed according to actual needs, which is not specifically limited in the embodiment of the present application.
S103, performing median processing and bit operation processing on the first data and the second data in the output data to output first correction data and second correction data, and performing mean processing on the third data in the output data to output third correction data, respectively.
Specifically, in the embodiment of the present application, the first correction data is output after performing median processing and bit operation processing on first data in the output data, the second correction data is output after performing median processing and bit operation processing on second data in the output data, and the third correction data is output after performing mean processing on third data in the output data.
In the embodiment of the present application, the median processing means that the variable values in the statistical population are arranged in order of magnitude to form a variable number sequence, and the variable value in the middle of the variable number sequence is selected as the data output after the median processing.
In the embodiment of the present application, the bit operation processing refers to converting a 2-bit 16-ary value into an 8-bit 16-ary value.
In the embodiment of the present application, the averaging processing refers to outputting data obtained by dividing a value of a sum obtained by adding respective variable values in a statistical population by a quantitative value of the statistical population as averaging processing.
In the embodiment of the present application, n elements in the parameter set in the first data are range values in the form of (Xi, yi), and the median processing is performed on the first data, that is, the median processing is performed on (X1, X2, \8230; (Xn) and (Y1, Y2, \8230; (8230;, yn), respectively, to obtain two 2-bit 16-system endpoint values. And then, carrying out bit operation processing on the two 2-bit 16-system end point values to obtain two 8-bit 16-system end point values serving as first correction data.
In the embodiment of the present application, n elements in the parameter set in the second data are range values in the form of (Ai, bi), and the median processing is performed on the second data, that is, the median processing is performed on (A1, A2, \8230;, an) and (B1, B2, \8230; \ 8230;, bn) respectively to obtain two 2-bit 16-system endpoint values. And then, carrying out bit operation processing on the two 2-bit 16-system end point values to obtain two 8-bit 16-system end point values as second correction data.
In this embodiment of the application, n elements in the parameter set in the third data are all fixed values, and after performing the average processing on the third data, the required third correction data can be directly obtained without performing bit operation processing.
In the embodiment of the application, the processing flow of the output data is executed by a program written by C language, and a main program including a Shell script program for removing invalid data and a processing program for processing the output data is also written by C language. That is, after the main program starts to execute, the Shell script program is called to obtain the output data, and the processing program written in the C language processes the first data, the second data, and the third data in the output data to obtain the first correction data, the second correction data, and the third correction data, respectively.
And S104, acquiring the first correction data, the second correction data and the third correction data as configuration data.
In the embodiment of the application, after the output data is processed to obtain the first correction data, the second correction data and the third correction data, the first correction data, the second correction data and the third correction data are used as configuration data to correct the DDR parameter of each printed circuit board.
In the embodiment of the application, firstly, data needs to be named according to a preset naming rule and then is used as original data, and the original data is placed under a specified directory. After that, invalid data in the raw data is removed by the Shell script program or other types of script programs, and the remaining raw data is taken as output data. Then, the C language program or other language program performs arithmetic processing on the output data, that is, the first correction data is output after performing median processing and bit arithmetic processing on the first data in the output data, the second correction data is output after performing median processing and bit arithmetic processing on the second data in the output data, and the third correction data is output after performing mean processing on the third data in the output data. And finally, correcting the DDR parameter of each printed circuit board by using the first correction data, the second correction data and the third correction data as configuration data.
Therefore, the data processing method provided by the application comprises 2 different types of execution programs, and according to different characteristics of the two programming languages, under the condition based on the Linux C compiling environment, the difficulty and complexity of data processing are greatly reduced. When a large number of data sets with different DDR parameters are faced, the user side only needs to rename the data files to be processed and then place the data files into the designated directory, and modifies the corresponding parameters, so that the data processing work can be completed quickly, and the time and the energy consumed by the data processing flow are greatly reduced.
Please refer to fig. 2, which is a schematic structural diagram of a data processing system according to an embodiment of the present application. In the embodiment of the present application, the data processing system may be applied to a Linux C compiling environment or other compiling environments, which is not specifically limited in the embodiment of the present application. The Data processing system can optimize the correction process of parameters of Double Data Rate (DDR) in certain chip platforms, and reduce the time and energy consumed by the Data processing process. In the embodiment of the present application, the data processing system is applied to an imx chip platform, and may also be applied to other chip platforms that cannot automatically correct DDR parameters.
As shown in fig. 2, the data processing system 200 includes a presetting unit 201, a screening unit 202, a processing unit 203, and a configuration unit 204.
The preset unit 201 is configured to name data according to a predetermined naming rule to serve as original data, and place the original data in a designated directory.
In the embodiment of the present application, the data is a data set of performance parameters in the printed circuit board.
In the embodiment of the present application, in order to reduce the complexity and workload of the screening unit 202 when directly processing the data (i.e., the data set of the DDR parameter), the data needs to be renamed according to a predetermined naming rule and then output as original data, and then the original data is placed in a designated directory to improve the processing efficiency of the subsequent process.
In the embodiment of the present application, the naming rule is: the time-data type may also be modified according to actual needs, and this is not specifically limited in the embodiments of the present application.
In this embodiment of the present application, the specified directory is a Data folder under a system packing directory, and the specified directory may also be modified according to actual needs, which is not specifically limited in this embodiment of the present application.
The screening unit 202 is configured to remove invalid data from the original data, and use the remaining original data as output data.
In this embodiment of the application, after obtaining the renamed original data in the designated directory, the screening unit 202 may remove invalid data in the original data, and use the remaining original data after removing the invalid data as output data.
In an embodiment of the present application, the output data includes first data, second data, and third data. The first data is a data set of a bidirectional data filtering (DQS Gating) parameter, the second data is a data set of a Read and Write delay (Read and Write latency) parameter, and the third data Write Leveling (Write Leveling) is a data set of a parameter.
In the embodiment of the present application, the invalid data is parameter data that cannot be processed or does not need to be processed in a subsequent process. That is, the removed invalid data includes the parameter data that cannot be processed in the first data, the second data, and the third data, and also includes the parameter data that does not need to be processed except for the first data, the second data, and the third data. These non-processable parametric data include: null values, data out of range, data with values that are scrambled, and the like. Of course, the content of the invalid data may also be deleted or added according to actual needs, and this is not specifically limited in the embodiment of the present application.
In this embodiment of the present application, the screening unit 202 is executed by a written Shell script, and the type of the Shell script file may also be changed according to actual needs, which is not specifically limited in this embodiment of the present application.
The processing unit 203 is configured to perform median processing and bit operation processing on first data and second data in the output data to output first correction data and second correction data, and perform mean processing on third data in the output data to output third correction data, respectively.
Specifically, in the embodiment of the present application, the first correction data is output after performing median processing and bit operation processing on first data in the output data, the second correction data is output after performing median processing and bit operation processing on second data in the output data, and the third correction data is output after performing mean processing on third data in the output data.
In the embodiment of the application, the median processing means that variable values in the statistical population are arranged in order of magnitude to form a variable number sequence, and the variable value in the middle of the variable number sequence is selected as data output after the median processing.
In the embodiment of the present application, the bit operation processing refers to converting a 2-bit 16-ary value into an 8-bit 16-ary value.
In the embodiment of the present application, the averaging process refers to outputting data obtained by dividing the value obtained by adding the variable values in the statistical population by the quantitative value in the statistical population as the averaging process.
In the embodiment of the present application, n elements in the parameter set in the first data are all range values in the form of (Xi, yi). The processing unit 203 performs median processing on the first data, that is, performs median processing on (X1, X2, \8230;, xn) and (Y1, Y2, \8230;, yn), respectively, to obtain two 2-bit 16-ary end point values. And then, carrying out bit operation processing on the two 2-bit 16-system end point values to obtain two 8-bit 16-system end point values serving as first correction data.
In the embodiment of the present application, the n elements in the parameter set in the second data are all range values in the form of (Ai, bi). The processing unit 203 performs median processing on the second data, that is, performs median processing on (A1, A2, \8230;, an) and (B1, B2, \8230;, bn), respectively, to obtain two 2-bit 16-ary end point values. And then, carrying out bit operation processing on the two 2-bit 16-system end point values to obtain two 8-bit 16-system end point values as second correction data.
In the embodiment of the present application, n elements in the parameter set in the third data are all fixed values. After performing the average processing on the third data, the processing unit 203 may directly obtain the required third correction data without performing any bit operation processing.
In the embodiment of the present application, the processing of the output data in the processing unit 203 is performed by a program written in C language, and the main program including the Shell script program of the filtering unit 202 and the C language program of the processing unit 203 is also written in C language. That is, after the main program starts to execute, the Shell script program is called to obtain the output data, and the processing program written in the C language processes the first data, the second data, and the third data in the output data to obtain the first correction data, the second correction data, and the third correction data, respectively.
The configuration unit 204 is configured to acquire the first correction data, the second correction data, and the third correction data as configuration data.
In the embodiment of the present application, after the processing unit 203 processes the output data to obtain the first correction data, the second correction data, and the third correction data, the configuration unit 204 corrects the DDR data of each printed circuit board by using the first correction data, the second correction data, and the third correction data as the configuration data.
In this embodiment of the application, first, the preset unit 201 needs to name the data according to a predetermined naming rule and then use the named data as original data, and place the original data in a specified directory. Thereafter, the filtering unit 202, which is constituted by the Shell script program or other type of script program, removes invalid data from the raw data, and takes the remaining raw data as output data. Then, the processing unit 203, which is composed of a C language program or another language program, executes arithmetic processing on the output data, that is, executes median processing and bit arithmetic processing on first data in the output data to output first correction data, executes median processing and bit arithmetic processing on second data in the output data to output second correction data, and executes mean processing on third data in the output data to output third correction data. Finally, the configuration unit 204 corrects the DDR parameters of each printed circuit board using the first correction data, the second correction data, and the third correction data as configuration data.
It can be seen that the data processing system provided by the present application includes 2 different types of execution programs, and according to different characteristics of the two programming languages, under the condition based on the Linux C compilation environment, the difficulty and complexity of data processing are greatly reduced. When a large number of data sets with different DDR parameters are faced, the user side only needs to rename the data files to be processed and then place the data files into the designated directory, and modifies the corresponding parameters, so that the data processing work can be completed quickly, and the time and the energy consumed by the data processing flow are greatly reduced.
Please refer to fig. 3, which is a diagram illustrating operations of the filter unit and the processing unit in the data processing system shown in fig. 2.
As shown in fig. 3, after the main program written in the C language starts to be executed, the script program 2022 written in the Shell language is called first, the script program 2022 controls the input unit 2021 to read the renamed original data of the designated directory, and the script program 2022 removes invalid data from the original data, and stores the original data from which the invalid data is removed as output data in the output unit 2023, so that the screening unit 202 finishes executing.
Thereafter, the main program starts the processing program 2031 written in C language, and the processing program 2031 reads the output data in the output unit 2023. The processing program 2031 performs median processing and bit operation processing on the first data of the output data to output first correction data 2032, performs median processing and bit operation processing on the second data of the output data to output second correction data 2033, performs mean processing on the third data of the output data to output third correction data 2034, and then outputs the first correction data 2302, the second correction data 2033, and the third correction data 2034 to the correction data unit 2035 to wait for the configuration unit 204 to read the data in the correction data unit 2035.
Compared with the prior art, the data processing method and the data processing system disclosed by the embodiment of the application comprise 2 different types of execution programs, and according to different characteristics of the two programming languages, the difficulty and complexity of data processing are greatly reduced under the condition based on the Linux C compiling environment. Moreover, when facing a large number of data sets with different DDR parameters, the user only needs to rename the data files to be processed and then place the data files in the designated directory, and modify the corresponding parameters, so that the data processing work can be completed quickly, and the time and the energy consumed by the data processing flow are greatly reduced.
The foregoing detailed description is directed to a data processing method and a data processing system disclosed in the embodiments of the present application, and specific examples are applied in the present application to explain the principles and implementations of the present application, and the descriptions of the foregoing embodiments are only used to help understand the methods and core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (8)
1. A data processing method, comprising:
naming data according to a preset naming rule to serve as original data, and placing the original data in a specified directory, wherein the data is a data set of DDR parameters in a printed circuit board;
removing invalid data in the original data, and taking the remaining original data as output data, wherein the output data comprises first data, second data and third data, the first data is a data set of bidirectional data filtering parameters, the second data is a data set of read-write delay parameters, and the third data is a data set of which the writing balance is a parameter;
performing median processing and bit operation processing on first data and second data in the output data to output first correction data and second correction data, respectively, and performing mean processing on third data in the output data to output third correction data;
and acquiring the first correction data, the second correction data and the third correction data as configuration data to correct DDR parameters of each printed circuit board.
2. The data processing method of claim 1,
the first data and the second data are subjected to median processing to form four 2-bit 16-system end point values, and the four 2-bit 16-system end point values are subjected to bit operation processing to form four 8-bit 16-system end point values;
and the third data is a fixed value after mean value processing.
3. The data processing method according to claim 1, wherein the invalid data includes parameter data that cannot be processed among the first data, the second data, and the third data, and parameter data that does not need to be processed other than the first data, the second data, and the third data.
4. The data processing method according to claim 1, wherein the flow of removing the invalid data is executed by a script program, and the arithmetic processing on the output data is executed by a processing program.
5. A data processing system, comprising:
the device comprises a presetting unit, a data processing unit and a data processing unit, wherein the presetting unit is used for naming data according to a preset naming rule to be used as original data and placing the original data in a specified directory, and the data is a data set of DDR parameters in a printed circuit board;
the screening unit is used for removing invalid data in the original data and taking the remaining original data as output data, wherein the output data comprises first data, second data and third data, the first data is a data set of bidirectional data filtering parameters, the second data is a data set of read-write delay parameters, and the third data is a data set of which the write balance is a parameter;
a processing unit, configured to perform median processing and bit operation processing on first data and second data in the output data to output first correction data and second correction data, and perform mean processing on third data in the output data to output third correction data;
and the configuration unit is used for acquiring the first correction data, the second correction data and the third correction data as configuration data so as to correct the DDR parameter of each printed circuit board.
6. The data processing system of claim 5,
the first data and the second data are subjected to median processing to form four 2-bit 16-system end point values, and the four 2-bit 16-system end point values are subjected to bit operation processing to form four 8-bit 16-system end point values;
and the third data is a fixed value after mean value processing.
7. The data processing system according to claim 5, wherein the invalid data includes parameter data that cannot be processed among the first data, the second data, and the third data, and the parameter data that does not need to be processed other than the first data, the second data, and the third data.
8. The data processing system according to claim 5, wherein the process of removing the invalid data is performed by a script program, and the arithmetic processing on the output data is performed by a processing program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911159102.7A CN112835750B (en) | 2019-11-22 | 2019-11-22 | Data processing method and data processing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911159102.7A CN112835750B (en) | 2019-11-22 | 2019-11-22 | Data processing method and data processing system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112835750A CN112835750A (en) | 2021-05-25 |
| CN112835750B true CN112835750B (en) | 2023-01-17 |
Family
ID=75921811
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911159102.7A Active CN112835750B (en) | 2019-11-22 | 2019-11-22 | Data processing method and data processing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112835750B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102637155A (en) * | 2012-01-10 | 2012-08-15 | 江苏中科梦兰电子科技有限公司 | Method for configuring data strobe signal delays in DDR3 (double data rate) through training and correcting |
| CN103412941A (en) * | 2013-08-22 | 2013-11-27 | 国家电网公司 | Data correction method and device |
| CN104520932A (en) * | 2012-05-23 | 2015-04-15 | Sk海尼克斯存储技术公司 | Flash memory controller |
| CN104679834A (en) * | 2015-02-06 | 2015-06-03 | 北京工商大学 | Time series data cleaning method and system |
| CN104881293A (en) * | 2015-06-10 | 2015-09-02 | 王庆文 | Rule data processing system and method for Linux system |
| CN107430529A (en) * | 2015-04-08 | 2017-12-01 | 华为技术有限公司 | The device of the load balancing of large-scale memory database |
| CN109299085A (en) * | 2018-11-07 | 2019-02-01 | 平安医疗健康管理股份有限公司 | A kind of data processing method, electronic equipment and storage medium |
| CN110149116A (en) * | 2019-05-24 | 2019-08-20 | 新华三技术有限公司 | A kind of electronic equipment and clock signal output method, device |
-
2019
- 2019-11-22 CN CN201911159102.7A patent/CN112835750B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102637155A (en) * | 2012-01-10 | 2012-08-15 | 江苏中科梦兰电子科技有限公司 | Method for configuring data strobe signal delays in DDR3 (double data rate) through training and correcting |
| CN104520932A (en) * | 2012-05-23 | 2015-04-15 | Sk海尼克斯存储技术公司 | Flash memory controller |
| CN103412941A (en) * | 2013-08-22 | 2013-11-27 | 国家电网公司 | Data correction method and device |
| CN104679834A (en) * | 2015-02-06 | 2015-06-03 | 北京工商大学 | Time series data cleaning method and system |
| CN107430529A (en) * | 2015-04-08 | 2017-12-01 | 华为技术有限公司 | The device of the load balancing of large-scale memory database |
| CN104881293A (en) * | 2015-06-10 | 2015-09-02 | 王庆文 | Rule data processing system and method for Linux system |
| CN109299085A (en) * | 2018-11-07 | 2019-02-01 | 平安医疗健康管理股份有限公司 | A kind of data processing method, electronic equipment and storage medium |
| CN110149116A (en) * | 2019-05-24 | 2019-08-20 | 新华三技术有限公司 | A kind of electronic equipment and clock signal output method, device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112835750A (en) | 2021-05-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108388515B (en) | Test data generation method, device, equipment and computer readable storage medium | |
| CN110516789B (en) | Method and device for processing instruction set in convolutional network accelerator and related equipment | |
| JP6991983B2 (en) | How and systems to train machine learning systems | |
| JP2023063403A5 (en) | Program, system, method, and information processing device | |
| CN112835750B (en) | Data processing method and data processing system | |
| CN111199146A (en) | Test report generation method and device, computer equipment and storage medium | |
| CN111506501B (en) | Method and device for generating test instruction set and electronic equipment | |
| CN111722863A (en) | Method and device for updating wind control model | |
| CN116243978A (en) | Data protocol method, device, medium and training system in distributed training | |
| CN112560393B (en) | Comparison verification method and device of EDA software tool | |
| CN102750167B (en) | Application program launching method, device and computer system | |
| US20120167037A1 (en) | Software static testing apparatus and method | |
| US8332204B2 (en) | Instruction check program, instruction check apparatus, and I/O simulator | |
| CN111984624A (en) | Method and system for data migration through correction migration model | |
| CN105068937A (en) | Unit test method of Linux kernel module | |
| JP5545054B2 (en) | Debug circuit and debug system | |
| JP5140708B2 (en) | Electronic device program and electronic device system | |
| EP3842932B1 (en) | Firmware update method and firmware update system thereof | |
| JPS58144913A (en) | Circuit diagram producing and output device for user program of programmable controller | |
| CN108694249B (en) | Data processing method, data processing device, computer equipment and storage medium | |
| CN111782282B (en) | Start program loading method and device, electronic equipment and storage medium | |
| JP5435647B2 (en) | Computer system, memory initialization method, and program | |
| CN112597717A (en) | IP verification method and device and electronic equipment | |
| CN116720314A (en) | Load processing device and method based on industrial factory building structure | |
| CN113127018A (en) | Firmware updating method and firmware updating system thereof |
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 |