CN111476206A - Universal analog quantity processing method and system - Google Patents
Universal analog quantity processing method and system Download PDFInfo
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- CN111476206A CN111476206A CN202010381919.5A CN202010381919A CN111476206A CN 111476206 A CN111476206 A CN 111476206A CN 202010381919 A CN202010381919 A CN 202010381919A CN 111476206 A CN111476206 A CN 111476206A
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Abstract
The invention discloses a universal analog quantity processing method and a system, wherein the method comprises the following steps: 1) acquiring original analog quantity data, wherein the type of the analog quantity data comprises one or more of a temperature signal, a wind speed signal, a gravity signal, a pressure signal and a humidity signal; 2) aiming at different types of analog quantity data, matching a corresponding combination algorithm according to a preset configuration instruction to perform data processing; the algorithm comprises one or more of a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm, a zero point check algorithm, a calibration algorithm and a three-point correction algorithm; 3) and outputting the processed data. The invention has the advantages of reducing repeated design of software control, reducing workload and difficulty of design, transplantation and maintenance, realizing targeted processing of data, improving accurate reliability of data processing and the like.
Description
Technical Field
The invention mainly relates to the technical field of medicine and food packaging, in particular to a universal analog quantity processing method and a universal analog quantity processing system.
Background
In the application process of industrial automation, the application of the sensor is the most basic and most extensive application, the type of digital quantity input/output is single, and the digital quantity input/output can be directly used without data processing, the application of analog quantity sensor data (such as a linear sensor under a normal use environment, such as wind speed, temperature, air pressure, concentration, weight, humidity and the like) acquires feedback data of different standards according to different manufacturers, and different processing data and data state information are generated due to different scalar quantity units and data processing personnel after data acquisition, so that the workload and difficulty of software control repetitive design, design transplantation and maintenance are increased.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides a universal analog quantity processing method and a universal analog quantity processing system which can reduce repeated software design and improve the precision and reliability of data processing.
In order to solve the technical problems, the technical scheme provided by the invention is as follows:
a general analog quantity processing method comprises the following steps:
1) acquiring original analog quantity data, wherein the type of the analog quantity data comprises one or more of a temperature signal, a wind speed signal, a gravity signal, a pressure signal and a humidity signal;
2) aiming at different types of analog quantity data, matching a corresponding combination algorithm according to a preset configuration instruction to perform data processing; the algorithm comprises one or more of a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm, a zero point check algorithm, a calibration algorithm and a three-point correction algorithm;
3) and outputting the processed data.
As a further improvement of the above technical solution:
in the step 2), the temperature signal is subjected to data processing through a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence;
the wind speed signal is subjected to data processing through a filtering sampling algorithm, a proportional gain algorithm and a zero point checking algorithm in sequence;
the gravity signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence;
the pressure signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence;
and the humidity signal is subjected to data processing through a filtering sampling algorithm and a three-point correction algorithm in sequence.
Between the step 1) and the step 2), the method also comprises the authenticity check of the original analog quantity data, judges whether the acquired data is real-time data or interference data according to the authenticity and reliability of the data mode detection data, indirectly judges whether the corresponding sensor is good or bad by taking the real-time data or the interference data as a reference, and stores the processed state information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
In step 2), generating a corresponding preset configuration instruction according to preset reference input data, wherein the preset configuration instruction comprises mapping relations between different types of analog signals and different combination algorithms.
In step 2), the preset reference input data comprises reference data and configuration data for data processing, wherein the reference data comprises a polarity reference value, a calibration reference value and a zero reference value; the configuration data comprises a check deviation value, a digital filtering array width and a filtering frequency.
The invention also discloses a general analog quantity processing system, which comprises
The acquisition module is used for acquiring original analog quantity data;
the data processing module is used for matching corresponding combination algorithms according to preset configuration instructions to perform data processing on different types of analog quantity data, wherein the types of the analog quantity data comprise one or more of temperature signals, wind speed signals, gravity signals, pressure signals and humidity signals;
and the output module is used for outputting the processed data.
As a further improvement of the above technical solution:
the data processing module comprises a data processing method set, and the data processing method set comprises a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm, a zero point check algorithm, a calibration algorithm and a three-point correction algorithm.
The system also comprises a data authenticity check module, a data authenticity check module and a data processing module, wherein the data authenticity check module is used for checking the authenticity of the original analog quantity data, judging whether the acquired data is real-time data or interference data according to the authenticity and reliability of the data detected by the data mode, indirectly judging whether the corresponding sensor is good or bad by taking the data as a reference, and storing the processed state information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
The system also comprises a configuration instruction module which is used for analyzing and matching the data mode of the original analog quantity data according to the preset reference input data and arranging and combining the algorithms using the data processing method set according to different types of the analog quantity data.
The system also comprises a configuration integrity checking module, a module hour hand and an output state information storage module, wherein the configuration integrity checking module is used for checking the integrity and the legality of the configuration instruction and outputting a checking result; the module hour hand is used for sampling a clock for the basis of program operation, and the minimum unit of the clock is the minimum cycle period or sampling period of the data processing module; the output state information storage module is used for storing the intermediate state information and the monitoring information.
Compared with the prior art, the invention has the advantages that:
the universal analog quantity processing method and the processing system of the invention ensure that analog quantity data of different types or different manufacturers are normalized to the same data processing platform for data processing to obtain data and state information which accord with the universal processing standard, thereby reducing the repeated design of software control and reducing the workload and difficulty of design, transplantation and maintenance; specifically, according to different types of analog quantity signals, corresponding algorithm combinations are adopted to flexibly process data, the data are processed in a targeted mode, and the precision and the reliability of data processing are improved.
The general analog quantity processing system can be compatible with analog quantity acquisition equipment of different types and manufacturers, and has strong universality, strong program readability and strong transportability; and the standardized data interface provides convenience for the same management data and reduces the complexity of program design.
Drawings
FIG. 1 is a block diagram of an embodiment of the system of the present invention.
Detailed Description
The invention is further described below with reference to the figures and the specific embodiments of the description.
As shown in fig. 1, the general analog processing method of the present embodiment includes the steps of:
1) acquiring original analog quantity data, wherein the type of the analog quantity data comprises one or more of a temperature signal, a wind speed signal, a gravity signal, a pressure signal and a humidity signal;
2) aiming at different types of analog quantity data, matching a corresponding combination algorithm according to a preset configuration instruction to perform data processing; the algorithm comprises one or more of a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm, a zero point check algorithm, a calibration algorithm and a three-point correction algorithm;
3) and outputting the processed data.
The universal analog quantity processing method and the processing system enable analog quantity data of different types or different manufacturers to be normalized to the same data processing platform for data processing to obtain data and state information meeting the universal processing standard, reduce repeated design of software control, and reduce workload and difficulty of design, transplantation and maintenance.
As shown in fig. 1, in the present embodiment, the original analog data is data amplified by an amplifier; the reference input data is reference data and configuration data information for data processing, such as a polarity reference value, a calibration reference value, a zero reference value, a check offset value, a digital filter array width, a filter frequency, and the like.
In the embodiment, in the step 2), the temperature signal is subjected to data processing through a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence; the wind speed signal is subjected to data processing through a filtering sampling algorithm, a proportional gain algorithm and a zero point checking algorithm in sequence; the gravity signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence; the pressure signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence; and the humidity signal is subjected to data processing through a filtering sampling algorithm and a three-point correction algorithm in sequence. According to the analog quantity signals of different types, corresponding algorithm combinations are adopted to flexibly process data, the data are processed in a targeted mode, and the precision and the reliability of data processing are improved.
In the embodiment, between the step 1) and the step 2), the method further comprises the steps of checking the authenticity of the original analog quantity data, judging whether the acquired data is real-time data or interference data according to the authenticity and reliability of the data detected by the data mode, indirectly judging whether the corresponding sensor is good or bad by taking the real-time data or the interference data as a reference, and storing the processed state information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
In this embodiment, in step 2), a corresponding preset configuration instruction is generated according to preset reference input data, where the preset configuration instruction includes mapping relationships between different types of analog signals and different combination algorithms; the preset reference input data comprise reference data and configuration data for data processing, and the reference data comprise a polarity reference value, a calibration reference value and a zero reference value; the configuration data comprises a check deviation value, a digital filtering array width and a filtering frequency.
As shown in FIG. 1, the invention also discloses a general analog processing system, which comprises
The acquisition module is used for acquiring original analog quantity data;
the data processing module is used for matching corresponding combination algorithms according to preset configuration instructions to perform data processing on different types of analog quantity data, wherein the types of the analog quantity data comprise one or more of temperature signals, wind speed signals, gravity signals, pressure signals and humidity signals;
and the output module is used for outputting the processed data.
The general analog quantity processing system can be compatible with analog quantity acquisition equipment of different types and manufacturers, and has strong universality, strong program readability and strong transportability; and the standardized data interface provides convenience for the same management data and reduces the complexity of program design.
In this embodiment, the data processing module includes a data processing method set, and the data processing method set includes a filtering sampling algorithm (mean filtering, high-pass filtering, low-pass filtering, band-pass filtering, etc.), a three-point correction algorithm (calculating a linear K value), a data detection algorithm (calculating a change rule, a change direction, etc. of test data), a proportional gain algorithm (linearly amplifying or reducing real-time data), a zero-point check algorithm (calculating and calibrating zero-point data of an actual measurement unit), and a calibration algorithm (calculating and calibrating a matching ratio of the actual measurement unit to a basic analog value); for basic signals with different functions, the identification and confirmation of the type of the input signal are completed by the reference input data through configuring an instruction identification data mode, and the selection and use of a data processing method are completed, for example, a weighing signal is subjected to data processing in a data processing mode of a filtering sampling algorithm, a data detection algorithm, a proportional gain algorithm, a zero point check algorithm, a three-point correction algorithm and a calibration algorithm in sequence, and a data processing result is derived; the method set can be flexibly configured in use and increased or decreased according to actual use conditions.
In the embodiment, the system further comprises a data authenticity checking module, which is used for checking the authenticity of the original analog quantity data, judging whether the acquired data is real-time data or interference data according to the authenticity and reliability of the data detected by the data mode, indirectly judging whether the corresponding sensor is good or bad by taking the acquired data as a reference, and storing the processed state information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
In this embodiment, the system further includes a configuration instruction module, configured to parse and match a data pattern of the original analog quantity data according to preset reference input data, and arrange and combine algorithms using the data processing method set according to different types of the analog quantity data.
In this embodiment, the system further includes a configuration integrity checking module, a module time pointer and an output state information storage module, where the configuration integrity checking module is configured to check the integrity and validity of the configuration instruction and output a check result. Because the data processing method set has different distribution criteria for different types of data, whether the configuration instruction is correct or not needs to be checked, otherwise, the processing data which can be scrambled due to errors can be output; the module hour hand is used for sampling a clock for the basis of program operation, and the minimum unit of the clock is the minimum cycle period or sampling period of the data processing module; the output state information storage module is used for storing the intermediate state information and the monitoring information. In addition, the data area verification algorithm is used for carrying out encryption verification on key data, holding data, configuration instructions and reference data, the safety of the data is guaranteed, and the data processing process is prevented from being maliciously tampered to influence the data processing. The output status information in fig. 1 includes intermediate status information and monitoring information during processing, such as data authenticity results, configuration instruction completeness results, data processing method set processing status, calibration zero values, calibration reference values, K values, data change trends, configuration instructions, data area verification results, and the like.
When the method and the system are applied to a freeze dryer, the corresponding specific steps are as follows:
acquiring indexes of related sensors of the freeze dryer, wherein the indexes specifically comprise temperature, wind speed, gravity, pressure and humidity;
after data authenticity check, the temperature sequentially passes through a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm; wind speed sequentially passes through a filtering sampling algorithm, a proportional gain algorithm and a zero point checking algorithm; gravity sequentially passes through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm; the pressure sequentially passes through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm; humidity sequentially passes through a filtering sampling algorithm and a three-point correction algorithm; finally outputting data; the priority of the algorithm is a data detection algorithm and a filtering sampling algorithm in sequence, and the rest is a level algorithm.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (10)
1. A general analog quantity processing method is characterized by comprising the following steps:
1) acquiring original analog quantity data, wherein the type of the analog quantity data comprises one or more of a temperature signal, a wind speed signal, a gravity signal, a pressure signal and a humidity signal;
2) aiming at different types of analog quantity data, matching a corresponding combination algorithm according to a preset configuration instruction to perform data processing; the algorithm comprises one or more of a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm, a zero point check algorithm, a calibration algorithm and a three-point correction algorithm;
3) and outputting the processed data.
2. The general analog quantity processing method according to claim 1, wherein in step 2), the temperature signal is subjected to data processing sequentially through a filtering sampling algorithm, a proportional gain algorithm and a zero point checking algorithm;
the wind speed signal is subjected to data processing through a filtering sampling algorithm, a proportional gain algorithm and a zero point checking algorithm in sequence;
the gravity signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence;
the pressure signal is subjected to data processing through a data detection algorithm, a filtering sampling algorithm, a proportional gain algorithm and a zero point check algorithm in sequence;
and the humidity signal is subjected to data processing through a filtering sampling algorithm and a three-point correction algorithm in sequence.
3. The general analog quantity processing method according to claim 1 or 2, characterized by further comprising a plausibility check on the original analog quantity data between the step 1) and the step 2), detecting the authenticity and reliability of the data according to a data mode, judging whether the acquired data is real-time data or interference data, indirectly judging whether the corresponding sensor is good or bad based on the real-time data or the interference data, and storing the processed state information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
4. The method as claimed in claim 3, wherein in step 2), the corresponding preset configuration instructions are generated according to the preset reference input data, and the preset configuration instructions include mapping relationships between different types of analog signals and different combination algorithms.
5. The general-purpose analog quantity processing method according to claim 4, wherein in step 2), the preset reference input data comprises reference data and configuration data for data processing, the reference data comprises a polarity reference value, a calibration reference value and a zero reference value; the configuration data comprises a check deviation value, a digital filtering array width and a filtering frequency.
6. A general analog quantity processing system is characterized by comprising
The acquisition module is used for acquiring original analog quantity data;
the data processing module is used for matching corresponding combination algorithms according to preset configuration instructions to perform data processing on different types of analog quantity data, wherein the types of the analog quantity data comprise one or more of temperature signals, wind speed signals, gravity signals, pressure signals and humidity signals;
and the output module is used for outputting the processed data.
7. The generalized analog processing system of claim 6, wherein said data processing module comprises a set of data processing methods, said set of data processing methods comprising a data detection algorithm, a filtered sampling algorithm, a proportional gain algorithm, a zero-check algorithm, a calibration algorithm, a three-point correction algorithm.
8. The universal analog processing system according to claim 6, further comprising a data authenticity check module for checking authenticity of the original analog data, determining whether the collected data is real-time data or interference data according to authenticity and reliability of data detected by the data pattern, indirectly determining whether the corresponding sensor is good or bad based on the data, and storing the processed status information; the data mode is obtained by analyzing and matching original analog quantity data according to preset reference input data.
9. The universal analog processing system according to claim 8, further comprising a configuration instruction module for parsing a data pattern matching the original analog data according to a preset reference input data, and arranging and combining algorithms using the data processing method sets according to different types of the analog data.
10. The universal analog processing system according to claim 9, further comprising a configuration integrity checking module, a module clock and an output status information storage module, wherein the configuration integrity checking module is configured to check the integrity and validity of the configuration instruction and output a checking result; the module hour hand is used for sampling a clock for the basis of program operation, and the minimum unit of the clock is the minimum cycle period or sampling period of the data processing module; the output state information storage module is used for storing the intermediate state information and the monitoring information.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113741276A (en) * | 2021-09-02 | 2021-12-03 | 华能澜沧江水电股份有限公司 | Method for improving analog input reliability in hydroelectric generating set control and storage medium |
| CN114091629A (en) * | 2022-01-21 | 2022-02-25 | 西安羚控电子科技有限公司 | Intelligent processing system and method for test flight data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107124458A (en) * | 2017-04-27 | 2017-09-01 | 大连云动力科技有限公司 | Intellisense equipment and sensory perceptual system |
| US20180081351A1 (en) * | 2016-09-16 | 2018-03-22 | Gopro, Inc. | Adaptive rate gain controller |
| CN109492508A (en) * | 2017-09-13 | 2019-03-19 | 湖南中车特种电气装备有限公司 | A kind of limit filtration method and system |
| CN109883394A (en) * | 2019-03-04 | 2019-06-14 | 吉林大学 | A kind of automobile road grade real-time estimation method |
-
2020
- 2020-05-08 CN CN202010381919.5A patent/CN111476206A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180081351A1 (en) * | 2016-09-16 | 2018-03-22 | Gopro, Inc. | Adaptive rate gain controller |
| CN107124458A (en) * | 2017-04-27 | 2017-09-01 | 大连云动力科技有限公司 | Intellisense equipment and sensory perceptual system |
| CN109492508A (en) * | 2017-09-13 | 2019-03-19 | 湖南中车特种电气装备有限公司 | A kind of limit filtration method and system |
| CN109883394A (en) * | 2019-03-04 | 2019-06-14 | 吉林大学 | A kind of automobile road grade real-time estimation method |
Non-Patent Citations (1)
| Title |
|---|
| 张守鹏，冯倩，喻鸣: "控制***模拟信号处理方法研究" * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113741276A (en) * | 2021-09-02 | 2021-12-03 | 华能澜沧江水电股份有限公司 | Method for improving analog input reliability in hydroelectric generating set control and storage medium |
| CN113741276B (en) * | 2021-09-02 | 2023-01-10 | 华能澜沧江水电股份有限公司 | Method for improving analog input reliability in hydroelectric generating set control and storage medium |
| CN114091629A (en) * | 2022-01-21 | 2022-02-25 | 西安羚控电子科技有限公司 | Intelligent processing system and method for test flight data |
| CN114091629B (en) * | 2022-01-21 | 2022-07-15 | 西安羚控电子科技有限公司 | Intelligent processing system and method for test flight data |
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