Filtering method and device and storage medium

A filtering device and technology for estimating equations, applied in the field of devices, storage media, and filtering methods, can solve problems such as filtering algorithm interference, large computing requirements, multiple RAMs, and computing time, and achieve less computing resources, reduce hysteresis, and simplify The effect of the operation step

Active Publication Date: 2018-09-28
CHENGDU TECHCAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the above-mentioned filtering algorithms are seriously interfered by the environment and the frequency converters and transformers in nearby equipment, because they involve more multiplication and division operations (such as weighted average filtering, etc.), and even array sorting (such as median filt

Method used

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  • Filtering method and device and storage medium
  • Filtering method and device and storage medium
  • Filtering method and device and storage medium

Examples

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no. 1 example

[0027] According to the research of the present applicant, in many control systems of mechanical equipment, it is found that the use of conventional digital filtering algorithms usually cannot meet the temperature detection requirements of equipment control. The reason is that many mechanical devices are bulky, and the installation position of the temperature sensor is far away from the controller, so the connection line is very long, and the connection line is not shielded for cost reasons, so it is easy to be interfered by the outside world. In addition, the environment used by large-scale mechanical equipment is usually relatively complex, and there are usually frequency converters, large-scale transformers, and other large-scale mechanical devices nearby, so the interference is particularly serious. This also creates inappropriate results for conventional numerical algorithms. There are many ways to solve this problem. Starting from the hardware, you can add hardware filte...

no. 2 example

[0039] In order to cooperate with the filtering method provided in the first embodiment, perform better filtering, and achieve corresponding filtering speed and accuracy, the second embodiment of the present invention provides a filtering device 100 .

[0040] Please refer to image 3 , image 3 A block diagram of a filter device provided by the second embodiment of the present invention.

[0041] The filtering device 100 includes an acquisition signal value acquisition module 110 , an original signal value acquisition module 120 , a trend judgment module 130 and a correction module 140 .

[0042] The acquisition signal value acquisition module 110 is configured to acquire acquisition signal values ​​from the i-mth time to the i-m+nth time.

[0043] The original signal value acquiring module 120 is configured to acquire the original signal value at the i-m-1th moment.

[0044] Optionally, the original signal value acquisition module 120 includes an initial judgment unit and...

no. 3 example

[0052] Please refer to Figure 4 , Figure 4 A structural block diagram of an electronic device applicable to the embodiments of the present application is shown. The electronic device 200 may include a filter device 100 , a memory 201 , a storage controller 202 , a processor 203 , a peripheral interface 204 , an input and output unit 205 , an audio unit 206 , and a display unit 207 .

[0053] The memory 201, storage controller 202, processor 203, peripheral interface 204, input and output unit 205, audio unit 206, and display unit 207 are electrically connected to each other directly or indirectly to realize data transmission or interact. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The filtering device 100 includes at least one software function module that can be stored in the memory 201 in the form of software or firmware (firmware) or solidified in an operating system (operating syste...

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Abstract

The invention provides a filtering method and device and a storage medium, and relates to the technical field of slow signal filtering. According to the filtering method, firstly, collected signal values from i-m-th time to the i-m+n-th time are acquired, and an original signal value of i-m-1-th time is acquired; a judgment result that the original signal is, from the i-m-th time to the i-m+n-th time, in a rising trend, a falling trend or status of remaining unchanged is acquired on the basis of the collected signal values from the i-m-th time to the i-m+n-th time and an original signal valueof i-1 time; then correcting an collected signal value of i-th time on the basis of a change estimation equation corresponding to the rising trend, the falling trend and the status of remaining unchanged; and thus an original signal value of the i-th time after filtering is obtained. According to the filtering method, estimation on slow signals is realized through simple numerical comparison and addition and subtraction operations, operation speed is higher, occupied resources are fewer, and the original slow signals can be quickly and stably extracted from signals under interference.

Description

technical field [0001] The present invention relates to the technical field of slow signal filtering, in particular to a filtering method, device and storage medium. Background technique [0002] In the application of single-chip microcomputer, we often encounter the problem of signal acquisition and processing, especially the analog signal acquisition in industrial field, because it is easy to be interfered and the interference source is complicated, so this problem is often a difficulty that plagues developers. Although the application of single-chip microcomputers in this area is becoming more and more widespread, the existing filtering algorithms based on single-chip microcomputers are almost the same, and most of the filtering algorithms, such as median filtering, arithmetic mean filtering, weighted Average filtering, moving average filtering, etc. [0003] However, the above-mentioned filtering algorithms are seriously interfered by the environment and the frequency c...

Claims

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Application Information

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IPC IPC(8): G06F17/10
CPCG06F17/10
Inventor 张慧洁王启宇周权谢暄赖玲庆
Owner CHENGDU TECHCAL UNIV
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