CN111404546A - Method, apparatus and computer-readable storage medium for filtering AD sampling data - Google Patents
Method, apparatus and computer-readable storage medium for filtering AD sampling data Download PDFInfo
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- CN111404546A CN111404546A CN202010183322.XA CN202010183322A CN111404546A CN 111404546 A CN111404546 A CN 111404546A CN 202010183322 A CN202010183322 A CN 202010183322A CN 111404546 A CN111404546 A CN 111404546A
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- 238000005070 sampling Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000001914 filtration Methods 0.000 title claims abstract description 30
- 238000012935 Averaging Methods 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 description 8
- 230000004044 response Effects 0.000 description 4
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000013500 data storage Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/06—Continuously compensating for, or preventing, undesired influence of physical parameters
- H03M1/0617—Continuously compensating for, or preventing, undesired influence of physical parameters characterised by the use of methods or means not specific to a particular type of detrimental influence
- H03M1/0626—Continuously compensating for, or preventing, undesired influence of physical parameters characterised by the use of methods or means not specific to a particular type of detrimental influence by filtering
- H03M1/0631—Smoothing
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/124—Sampling or signal conditioning arrangements specially adapted for A/D converters
- H03M1/1245—Details of sampling arrangements or methods
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Abstract
The invention discloses a method, equipment and a computer readable storage medium for filtering AD sampling data, wherein the method comprises the following steps: acquiring a first plurality of AD sampling data contained in each section of AD sampling data in a plurality of sections of AD sampling data, wherein the first plurality of AD sampling data are a plurality of AD sampling data which are sequenced and are the latest in real-time AD sampling; and averaging a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value. By using the method, the equipment and the computer readable storage medium of the invention, the smoothness of data processing is ensured.
Description
Technical Field
The present invention relates generally to the field of data processing. More particularly, the present invention relates to a method, apparatus and computer-readable storage medium for filtering AD (analog-to-digital) sampled data.
Background
In current types of digital signal applications, it is usually necessary to convert an original analog signal into a digital signal, which involves analog-to-digital type conversion (i.e., AD conversion). In this conversion process, sampling quantization is required for the analog signal at a certain sampling rate, so as to convert the analog signal into a discrete signal (i.e., AD sample data) represented by a binary number. Since the AD sampling data is susceptible to interference, filtering the sampling data to reduce the interference of noise to the system is especially important for AD sampling in industrial control situations.
Disclosure of Invention
In order to solve at least the above technical problems, the present invention provides an AD sampled data filtering scheme with high smoothness, and in various aspects, provides the following technical solutions:
in a first aspect, the present invention provides a method of filtering AD sample data, comprising: acquiring a first plurality of AD sampling data contained in each section of AD sampling data in a plurality of sections of AD sampling data, wherein the first plurality of AD sampling data are a plurality of AD sampling data which are sequenced and are the latest in real-time AD sampling; and averaging a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value.
In one embodiment, the method further includes performing a sorting operation on each of the plurality of pieces of AD sample data in the second buffer.
In one embodiment, the method further comprises saving the AD sample data sampled in real time in a new-in-old-out manner in a first buffer; and moving the AD sampling data stored in the first buffer into the second buffer.
In one embodiment, the AD sample data is stored in the first buffer in a segment-by-segment manner to obtain the plurality of segments of AD sample data.
In a second aspect, the present invention provides an apparatus for filtering AD sample data, comprising: acquiring means configured to acquire a first plurality of pieces of AD sample data included in each of a plurality of pieces of AD sample data, wherein the first plurality of pieces of AD sample data are the closest ones of the ordered, real-time AD samples; and averaging means configured to average a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value.
In one embodiment, the apparatus further includes a sorting device configured to perform a sorting operation on each of the plurality of pieces of AD sample data in the second buffer.
In one embodiment, the apparatus further comprises a holding device configured to hold the AD sample data sampled in real time in a new-in and old-out manner in the first buffer; and a shift means configured to shift the AD sample data held in the first buffer into the second buffer.
In one embodiment, the holding means is configured to hold the AD sample data in the first buffer in a segment-by-segment manner to obtain the plurality of segments of AD sample data.
In a third aspect, the present invention provides an apparatus for filtering AD sample data, comprising: at least one processor; a memory storing program instructions that, when executed by the at least one processor, cause the apparatus to perform the steps recited in the aforementioned method and its various embodiments.
In a fourth aspect, the invention provides a computer readable storage medium storing a program for filtering AD sample data, which when executed by a processor performs the steps recited in the aforementioned method and its various embodiments.
By utilizing the method, the equipment and the computer readable storage medium, the data processing measures such as effective algorithm filtering and the like can be executed on the sampled data in various AD sampling application scenes, particularly in analog quantity application occasions such as AD sampling and the like in industrial control occasions, so that the smoothness of the processed data is improved.
Drawings
The above and other objects, features and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description read in conjunction with the accompanying drawings. In the accompanying drawings, which are meant to be exemplary and not limiting, several embodiments of the invention are shown and indicated, like or corresponding reference numerals being used for like or corresponding parts, wherein:
fig. 1 is a simplified flow diagram illustrating a method for filtering AD sample data according to an embodiment of the present invention;
fig. 2 is a detailed flowchart illustrating a method for filtering AD sample data according to an embodiment of the present invention;
fig. 3 is a diagram illustrating a data processing procedure for filtering AD sample data according to an embodiment of the present invention;
fig. 4 is a block diagram illustrating an apparatus for filtering AD sample data according to an embodiment of the present invention; and
fig. 5 is a block diagram illustrating another apparatus for filtering AD sample data according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
It should be understood that the terms "first," "second," "third," or "fourth," etc. in the claims, description, or drawings of the present disclosure are used to distinguish between different objects and not to describe a particular order. The terms "comprises" and "comprising," when used in the specification and claims of this disclosure, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the disclosure herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the disclosure. As used in the specification and claims of this disclosure, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should be further understood that the term "and/or" as used in the specification and claims of this disclosure refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
As used in this specification and claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
Fig. 1 is a simplified flow diagram illustrating a method 100 for filtering AD sample data in accordance with an embodiment of the present invention. As shown in fig. 1, at step 102, the method 100 obtains a first plurality of AD sample data included in each of the plurality of pieces of AD sample data, wherein the first plurality of AD sample data is a most recent plurality of AD sample data in the ordered real-time AD samples. The plurality of pieces of AD sample data herein may have different physical meanings according to different application scenarios. For example, for AD sample data obtained by consecutive sampling, each piece of data may be an array or a set including a fixed number of data. For another example, each piece of data may be a data set having a fixed format. Therefore, the scheme of the present invention does not specifically limit the form of the AD sample data. Further, here the first plurality of AD sample data is ordered, which may be done for different scenarios. For example, the ordering may be a numerical ordering of the first plurality of AD sample data. In addition, the first plurality of AD sample data is the most recent plurality of AD sample data, which indicates that the plurality of AD sample data has a certain timeliness.
After obtaining the first plurality of AD sample data as described above, at step 104, the method 100 averages a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value. In one embodiment, when the first plurality of AD sample data is presented in the form of an array, the middle portion may take the same number of data for two adjacent sides starting from the center of the first plurality of AD sample data. In one embodiment, the averaging may be summing the data of the intermediate portion, and dividing the obtained sum by the number of data to obtain an average value, and considering the average value as the actual value obtained by this filtering.
Fig. 2 is a detailed flowchart illustrating a method 200 for filtering AD sample data according to an embodiment of the present invention. It will be appreciated that the processing of the method 200 is an embodiment of the method 100 described above in connection with fig. 1, and thus the statements made with respect to the method 100 apply equally to the following description.
As shown in fig. 2, in step 202, the method 200 saves the real-time sampled AD sample data in a first buffer in a new-in-old manner. In one embodiment, the first buffer here may be a dedicated piece of memory space opened up for memory space in the device participating in the filtering process, to which contiguous addresses may be allocated to facilitate the continuous storage of data. In one embodiment, the new-in-old-out mode (or first-in-first-out mode) can ensure that the oldest or earliest data is replaced by the same number of latest or newly acquired AD sampling data, so as to ensure the effectiveness of the data.
Next, in step 204, the method 200 moves the AD sample data stored in the first buffer to a second buffer. In one embodiment, the second buffer here may be a buffer having the same attributes as the first buffer. In another embodiment, the second buffer may be a buffer with different attributes than the first buffer, e.g., the second buffer may be a dedicated piece of storage space on a different device or apparatus than the first buffer. Through the data migration, the safety and the integrity of the data can be improved, and the effective backup of the data is realized. After moving the AD sample data into the second buffer, the flow proceeds to step 206, where at step 206, the method 200 performs a sorting operation on each of the aforementioned plurality of pieces of AD sample data. The sorting can be performed in various forms according to different application scenarios. In one embodiment, the ordering may be numerical ordering, i.e., from large to small or from small to large.
Finally, the flow proceeds to step 208 where the method 200 averages the AD sample data located in the middle of each piece of AD sample data to obtain a filtered actual value. The middle part can be a plurality of data in a certain range at the center or both sides of each piece of data according to different application scenarios, for example, according to the data sorting mode, the number of data or the data type. By averaging the data in the middle part, the filtered actual value can be obtained, so that various data processing can be performed subsequently by using the actual value.
Fig. 3 is a block diagram illustrating a data processing procedure 300 for filtering AD sample data according to an embodiment of the present invention. As can be seen from the illustration in the figure, fig. 3 describes the filtering process of the present invention with a specific data example to enhance the understanding of the present invention by those skilled in the art.
As shown in fig. 3, at step 301: a buffer (e.g., buffer a in the figure) is created and the latest AD sample data is collected. In order to guarantee timeliness of data, a new-in old-out mode is adopted, a buffer area is moved to the left in sequence, the latest data is moved in from the tail part of the buffer area, and the oldest data is removed from the initial position of the buffer area. For example, when the (n-1) th and nth data are moved into buffer A as new data, the first stored (1) th and (2) th data will be discarded accordingly. In some scenarios, multiple pieces of AD sample data may be stored in a buffer in series, each piece may contain multiple pieces of data, and then each piece may be subjected to data shift and update processing, i.e., shift-in and drop-out operations.
Next, at step 302: and assigning the buffer area to a new buffer area for data processing. For example, as shown in the figure, the 1 st to nth data in the buffer a with new data may be moved into the buffer B. Then, at step 303: the sorting operation is performed on the AD sample data stored in the buffer B. Thus, for buffer B, each piece of data inside it contains the most recent data of the sorted real-time samples.
Finally, at step 304: the middle part (for example, the middle 5 data) of each segment of data in the buffer B is averaged, so that the filtered actual value can be obtained. The filtered value data obtained in this way is stable and also eliminates noise interference that may be caused by AD sampling.
Fig. 4 is a block diagram illustrating an apparatus 400 for filtering AD sample data according to an embodiment of the present invention. As shown in fig. 4, the apparatus 400 comprises an obtaining means 401 and an averaging means 402. In one embodiment, the obtaining means 401 may be configured to obtain a first plurality of AD sample data included in each of the plurality of pieces of AD sample data, where the first plurality of AD sample data is a closest plurality of AD sample data in the ordered real-time AD samples. In another embodiment, the averaging means 402 may be configured to average a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain the filtered actual value.
In one or more embodiments, the obtaining device 401 may further include a saving device 4011 configured to save the AD sample data sampled in real time in a new-in and old-out manner in the first buffer. In an application scenario, the holding means 4011 may be further configured to hold the AD sample data in the first buffer in a segment-by-segment manner to obtain the multiple segments of AD sample data. Further, the obtaining device 401 may further include a number shifting device 4012 configured to shift the AD sample data stored in the first buffer into the second buffer. In addition, the obtaining means 401 may further include a sorting means 4013 configured to perform a sorting operation on each of the plurality of pieces of AD sample data in the second buffer.
From the above description, those skilled in the art can understand that by using the apparatus 400 and a plurality of devices therein, filtering of the AD sample data can be realized, thereby obtaining filtered data with a high stability level.
Fig. 5 is a block diagram illustrating another apparatus 500 for filtering AD sample data according to an embodiment of the present invention. As shown in fig. 5, the apparatus 500 comprises at least one processor 502 and a memory 504, wherein the memory 504 stores program instructions that, when executed by the at least one processor 502, cause the apparatus to perform the method described in connection with fig. 1 and 2 to obtain the filtered actual value.
It should also be appreciated that any module, unit, component, server, computer, terminal, or device executing instructions of the examples of the invention may include or otherwise access a computer-readable medium, such as a storage medium, computer storage medium, or data storage device (removable) and/or non-removable) such as a magnetic disk, optical disk, or magnetic tape. Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data.
Based on the foregoing, the present invention also discloses a computer readable storage medium having stored therein program instructions adapted to be loaded and executed by a processor: acquiring a first plurality of AD sampling data contained in each section of AD sampling data in a plurality of sections of AD sampling data, wherein the first plurality of AD sampling data are a plurality of AD sampling data which are sequenced and are the latest in real-time AD sampling; and averaging a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value. Further, the program instructions also include instructions that are loaded by the processor and that perform the various steps as shown in fig. 2, thereby enabling the filtering of the AD sample data.
The computer readable storage medium may be any suitable magnetic or magneto-optical storage medium, such as resistive Random Access Memory (rram), Dynamic Random Access Memory (dram), Static Random Access Memory (SRAM), enhanced Dynamic Random Access Memory (edram), High-Bandwidth Memory (HBM), hybrid Memory cubic (hmc) Memory cube, and the like, or any other medium that can be used to store the desired information and that can be accessed by an application, a module, or both. Any such computer storage media may be part of, or accessible or connectable to, a device. Any applications or modules described herein may be implemented using computer-readable/executable instructions that may be stored or otherwise maintained by such computer-readable media.
Although the embodiments of the present invention are described above, the descriptions are only examples for facilitating understanding of the present invention, and are not intended to limit the scope and application scenarios of the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method of filtering AD sample data, comprising:
acquiring a first plurality of AD sampling data contained in each section of AD sampling data in a plurality of sections of AD sampling data, wherein the first plurality of AD sampling data are a plurality of AD sampling data which are sequenced and are the latest in real-time AD sampling; and
averaging a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value.
2. The method of claim 1, further comprising:
performing a sorting operation on each of the plurality of pieces of AD sample data in a second buffer.
3. The method of claim 2, further comprising:
saving the AD sampling data sampled in real time in a new-in and old-out mode in a first buffer area; and
and moving the AD sampling data stored in the first buffer area into the second buffer area.
4. The method of claim 3, wherein the AD sample data is saved in the first buffer in a segment-by-segment manner to obtain the plurality of segments of AD sample data.
5. An apparatus for filtering AD sampled data, comprising:
acquiring means configured to acquire a first plurality of pieces of AD sample data included in each of a plurality of pieces of AD sample data, wherein the first plurality of pieces of AD sample data are the closest ones of the ordered, real-time AD samples; and
averaging means configured to average a second plurality of AD sample data located in a middle portion of the first plurality of AD sample data to obtain a filtered actual value.
6. The apparatus of claim 5, further comprising:
a sorting device configured to perform a sorting operation on each of the plurality of pieces of AD sample data in the second buffer.
7. The apparatus of claim 6, further comprising:
a holding means configured to hold the AD sample data sampled in real time in a new-in-old-out manner in a first buffer; and
a number shifting device configured to shift the AD sample data held in the first buffer into the second buffer.
8. The apparatus of claim 7, wherein the holding means is configured to hold the AD sample data in the first buffer in a segment-by-segment manner to obtain the plurality of segments of AD sample data.
9. An apparatus for filtering AD sampled data, comprising:
at least one processor;
a memory storing program instructions that, when executed by the at least one processor, cause the apparatus to perform the steps of any of claims 1-4.
10. A computer-readable storage medium storing a program for filtering AD sample data, which when executed by a processor performs the steps of any one of claims 1-4.
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