CN114996072B - System for multichannel pressure signal automatic tracking detects - Google Patents
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Abstract
The invention discloses a system for automatically tracking and detecting a multichannel pressure-sensitive signal, which comprises: the device comprises a window sliding filtering module, a baseline data self-correcting module and a threshold value automatic judging module; the multi-channel pressure-sensitive data processing engine is interacted with the ARM through the AHB, data throughput is greatly increased, processing time of pressure-sensitive data can be greatly shortened, and response efficiency of the pressure-sensitive data is improved.
Description
Technical Field
The invention relates to the technical field of signal detection, in particular to a system for automatically tracking and detecting a multichannel pressure-sensitive signal.
Background
At present, the multichannel pressure sensing signal processing is usually to process multichannel pressure sensing signals through software intervention, and as shown in fig. 1, the processing steps include:
(1) The method mainly comprises the steps of preprocessing original data, mainly using a window sliding filtering function, caching the original data in a certain time window through an RAM (random access memory), removing the maximum value and the minimum value of the data in the time window, and then averaging other data, so that the noise of the data can be reduced;
(2) And tracking the baseline data, wherein the software can adjust the baseline data at any time, the tracking speed according to different scenes can be different according to the prior software configuration, and a user needs to determine the final software configuration according to the effect presented by different configurations.
(3) Judging a threshold value, wherein in the process of acquiring the pressure sensing signal, if the pressure sensing data is compared with the baseline data and exceeds a certain threshold value, judging that the pressing event is effective;
such a treatment easily leads to: (1) The occupied RAM space is more, the step of the 'preprocessing of the original data' described above is the condition of 1 channel, and the occupied RAM space is doubled for a plurality of pressure-sensitive channels;
(2) The baseline data tracking is not flexible, can not be automatically adjusted, and needs the participation of user software;
(3) The efficiency of software processing is poor, and the efficiency of software processing is obviously reduced along with the increase of the number of pressure sensing channels;
the prior art can not meet the requirements of people at the present stage, and the prior art is urgently needed to be reformed based on the current situation.
Disclosure of Invention
The present invention is directed to a system for automatically tracking and detecting a multi-channel pressure-sensitive signal, so as to solve the problems mentioned in the background art.
The invention provides a system for automatically tracking and detecting a multichannel pressure-sensitive signal, which comprises the following technical scheme: the device comprises a window sliding filtering module, a baseline data self-correcting module and a threshold value automatic judging module.
The window sliding filter module includes: data input channel, digital arithmetic unit and register.
One end of the data input channel is externally connected with the ADC, the other end of the data input channel is coupled to the digital operation unit, the data input channel receives data collected by the ADC in parallel, and the data input channel transmits the collected data to the digital operation unit.
Preferably, the digital operation unit comprises a plurality of digital operation subunits, and each digital operation subunit independently outputs data; the digital arithmetic unit is coupled with the register, and the register configures each digital arithmetic subunit in the digital arithmetic unit, so that the window size of the digital arithmetic subunit can be set.
The baseline data self-correction module comprises: the device comprises a baseline tracking buffer area, a stepping detection unit, a temperature change detection unit, a baseline updating tracking counter and a baseline updating logic operation unit.
The baseline tracking buffer area is externally connected with a register, the register is used for configuring the size of the baseline tracking buffer area, and the baseline tracking buffer area is used for caching data pressed after finger touch.
Preferably, the output end of the baseline tracking buffer is loaded to the stepping detection unit, and the stepping detection unit calculates the data cached in the baseline tracking buffer to obtain a stepping value.
Preferably, the baseline update trace counter is coupled to the baseline trace buffer for counting data changes of the baseline trace buffer.
The temperature change detection unit is coupled to the baseline tracking buffer area and adjusts the temperature coefficient of the data pressed in the baseline tracking buffer area.
Preferably, the output ends of the step detection unit and the temperature change detection unit are loaded to the baseline updating logic operation unit together, the baseline updating logic operation unit takes the pressing data of the baseline tracking buffer area as input, and takes the step value calculated by the step detection unit as output, so as to calculate the parameter baseline value, and the baseline updating logic operation unit realizes the automatic correction of the baseline data algorithm according to the parameter baseline value and the updating times of the baseline updating tracking counter as parameter indexes.
The threshold automatic judging module is provided with a subtracter and a comparator.
One input end of the subtracter is coupled to the baseline tracking buffer area, the other input end of the subtracter is coupled to the output end of the baseline updating logic operation unit in the baseline data self-correcting module, and the subtracter subtracts the press data value acquired by the ADC and cached in the baseline tracking buffer area from the parameter baseline value calculated and output by the baseline updating logic operation unit to obtain a data difference value.
Preferably, the output end of the subtractor is coupled to one input of a comparator, the data difference value is input to the comparator, the other input of the comparator is coupled to a register, a reference threshold is set in the register, the comparator compares the reference threshold with the input data difference value, if the data difference value is greater than the reference threshold, it is determined that a pressing action is generated, and if the data difference value is less than or equal to the reference threshold, the pressing action is regarded as noise, and the noise is ignored.
Preferably, the window sliding filtering module, the baseline data self-correcting module and the threshold automatic judging module jointly form a multi-channel pressure sensing data processing engine, the multi-channel pressure sensing data processing engine interacts with the ARM through an AHB bus, data throughput is greatly increased, processing time of pressure sensing data can be greatly shortened, and response efficiency of the pressure sensing data is improved.
The invention has the following beneficial effects:
(1) The space occupied by the RAM is small, a matrix multi-window mode is adopted, the digital operation unit comprises a plurality of digital operation subunits, each digital operation subunit is independent, and data can be acquired from 9 external ADC input channels at most in parallel;
(2) The digital operation unit is provided with a digital logic operation unit, a plurality of filtering algorithms are arranged in the digital logic operation unit and can be directly called, pressure-sensitive data acquired by the ADC are automatically filtered, and instant jitter is automatically filtered;
(3) The baseline data tracking is flexible, the baseline data self-correction module is used for realizing the automatic correction of the baseline data algorithm, the threshold automatic judgment module is used for automatically comparing the threshold, and judging whether the action is pressing or interference noise is carried out without the participation of a user;
(4) The window sliding filtering module, the baseline data self-correcting module and the threshold value automatic judging module jointly form a multi-channel pressure-sensitive data processing engine, the multi-channel pressure-sensitive data processing engine is interacted with the ARM through an AHB bus, data throughput is greatly increased, processing time of pressure-sensitive data can be greatly shortened, and response efficiency of the pressure-sensitive data is improved.
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FIG. 1 is a block diagram schematic of a prior art software process;
FIG. 2 is a block diagram of the system for automatic tracking and detecting of multi-channel pressure-sensitive signals according to the present invention;
FIG. 3 is a schematic diagram of a window sliding filter module according to the present invention;
FIG. 4 is a schematic diagram of a baseline data self-calibration module according to the present invention;
FIG. 5 is a diagram of an automatic threshold determination module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the invention without making any creative effort, shall fall within the protection scope of the invention.
The invention provides a system for automatically tracking and detecting a multichannel pressure-sensitive signal, which comprises the following technical scheme: the device comprises a window sliding filtering module, a baseline data self-correcting module and a threshold value automatic judging module.
Referring to fig. 3, the window sliding filter module includes: the device comprises a data input channel, a digital operation unit and a register; one end of the data input channel is externally connected with the ADC, the other end of the data input channel is coupled to the digital operation unit, the data input channel receives data acquired by the ADC in parallel, and the data input channel transmits the acquired data to the digital operation unit; the digital operation unit comprises a plurality of digital operation sub-units, and each digital operation sub-unit independently outputs data; the digital operation unit is coupled with the register, and the register configures each digital operation subunit in the digital operation unit and can set the window size of the digital operation subunit; the digital operation unit also comprises a digital logic operation unit, a filtering algorithm is arranged in the digital logic operation unit, and the filtering algorithm comprises: the device comprises a first-order lag filtering algorithm, a median average filtering algorithm, a median filtering algorithm, a low-pass high-pass filtering algorithm, a weighted recursive average filtering algorithm, a band-pass filtering algorithm, a jitter elimination filtering algorithm, an arithmetic average filtering algorithm, a recursive median average filtering algorithm, a recursive average filtering algorithm, an amplitude limiting jitter elimination filtering algorithm and the like, wherein the pressure-sensitive data acquired by the ADC is automatically filtered by selecting one or more suitable filtering algorithms, and the instantaneous jitter is automatically filtered.
Referring to fig. 4, the baseline data self-correction module includes: a baseline tracking buffer area, a stepping detection unit, a temperature change detection unit, a baseline updating tracking counter and a baseline updating logic operation unit; the baseline tracking buffer area is externally connected with a register, the register is used for configuring the size of the baseline tracking buffer area, and the baseline tracking buffer area buffers data pressed after finger touch; the output end of the baseline tracking buffer area is loaded to a stepping detection unit, and the stepping detection unit calculates the data cached in the baseline tracking buffer area to obtain a stepping value; the baseline updating tracking counter is coupled to the baseline tracking buffer and counts the data change of the baseline tracking buffer; the temperature change detection unit is coupled to the baseline tracking buffer area and used for adjusting the temperature coefficient of the data pressed in the baseline tracking buffer area; the step detection unit and the output end of the temperature change detection unit are loaded to the baseline updating logic operation unit together, the pressing data of the baseline tracking buffer area is used as input in the baseline updating logic operation unit, the step value calculated by the step detection unit is used as output, so that the parameter baseline value is calculated, and the baseline updating logic operation unit realizes the automatic correction of the baseline data algorithm by using the parameter baseline value and the updating times of the baseline updating tracking counter as parameter indexes;
referring to fig. 5, the threshold automatic determination module includes: a subtractor and a comparator.
One input end of the subtracter is coupled to the baseline tracking buffer area, the other input end of the subtracter is coupled to the output end of the baseline updating logic operation unit in the baseline data self-correcting module, and the subtracter subtracts the press data value acquired by the ADC and cached in the baseline tracking buffer area from the parameter baseline value calculated and output by the baseline updating logic operation unit to obtain a data difference value; the output end of the subtracter is coupled with one input of the comparator, the data difference value is input into the comparator, the other input of the comparator is coupled with the register, a reference threshold value is arranged in the register, the comparator compares the reference threshold value with the input data difference value, if the data difference value is larger than the reference threshold value, a pressing action is judged to be generated, and if the data difference value is smaller than or equal to the reference threshold value, the pressing action is taken as noise to be ignored.
Referring to fig. 2, the window sliding filter module, the baseline data self-correction module, and the threshold automatic determination module jointly form a multi-channel pressure-sensitive data processing engine, and the multi-channel pressure-sensitive data processing engine interacts with the ARM through the AHB bus, so that data throughput is greatly increased, processing time of pressure-sensitive data can be greatly shortened, and response efficiency of pressure-sensitive data is improved.
In the embodiment, the working principle of the invention is as follows:
(1) And the pressure-sensitive data acquired by the ADC is automatically filtered through the window sliding filtering module, so that instant jitter is automatically filtered.
Specifically, the pressure-sensitive data is filtered by the digital logic operation unit of the digital operation unit, and an appropriate filtering algorithm in the digital logic operation unit can be selected: the filter module comprises a first-order lag filter algorithm, a median average filter algorithm, a median filter algorithm, a low-pass high-pass filter algorithm, a weighted recursive average filter algorithm, a band-pass filter algorithm, a jitter elimination filter algorithm, an arithmetic average filter algorithm, a recursive median average filter algorithm, a recursive average filter algorithm, an amplitude limiting jitter elimination filter algorithm and the like, instantaneous jitter is automatically filtered, the filter algorithms can be selectively called in a window according to requirements and play a role in smoothing window data, and the window sliding filter module adopts a matrix multi-window mode and can realize sliding filtering of 9 paths of pressure-sensitive data at most.
Specifically, parallel operation is realized through digital operation subunits included by a digital operation unit, the digital operation subunits are mutually independent and can collect data from 9 ADC input channels at most in parallel, wherein the digital operation unit enables a plurality of data input channels, a plurality of digital operation subunits can correspondingly carry out parallel operation, the window size of each digital operation subunit can be configured through a register, time and effect balance is realized through configuration, for example, for faster operation time, the window size of the corresponding digital operation subunit can be set to be 20 through the register, the digital operation subunit can continuously collect updated data, only latest 20 frame data is cached for operation, the filtering of the specific operation is realized by firstly sorting, then automatically removing the maximum value and the minimum value, and finally, the rest 18 frame data are summed and averaged. If the effect of the above processing is found to be unable to achieve the expected effect, the window size of the corresponding digital operation subunit may be reconfigured by the register, for example, the window size of the digital operation subunit is enlarged to 50, at this time, the digital operation subunit may buffer the latest 50 frames of ADC data in real time for performing the filtering operation, as an optional embodiment, the operation time after the window size of the reconfigured digital operation subunit is enlarged to 50 may be correspondingly improved compared with the operation time when the window size of the originally configured digital operation subunit is 20, but the filtering effect is good.
(2) Automatic correction of the baseline data algorithm is achieved by the baseline data self-correction module triggering a specific number of presses.
Specifically, the data filtered by the window sliding filter module is cached according to a baseline tracking buffer area, the size of the baseline tracking buffer area is configured through a register, and for a certain specific channel in the data input channel, the data pressed for 15 times is cached by the baseline tracking buffer area through specific times of finger touch pressing, for example, 15 times.
Specifically, the temperature change during pressing is collected by the temperature change detection unit, which is usually between 1 and 3 degrees centigrade, in order to reduce the signal change caused by the temperature during finger contact, the temperature coefficient of the data pressed in the baseline tracking buffer area is adjusted, wherein the temperature coefficient is obtained according to the data which is obtained after 100 chip experiments in a laboratory and can be used for large-scale mass production, and the data can truly reflect the data input by pressing.
Specifically, the root mean square value of the pressing data is obtained through the stepping detection unit, and then the median of the data value is subtracted to obtain the stepping value, wherein the stepping value reflects whether the baseline tracking is aggressive or not, and if the baseline tracking is too aggressive, the sensitivity is poor.
Specifically, the pressing data of the baseline tracking buffer area is used as input, the stepping value is used as output, the corresponding baseline parameter value is automatically calculated through the baseline updating logic operation unit, the updating times of the baseline updating tracking counter are recorded, and the automatic correction of the baseline data algorithm is realized through the pressing of specific times according to the baseline parameter value and the updating times of the baseline updating tracking counter as parameter indexes.
(3) The automatic threshold value judging module automatically compares the threshold values to judge whether the pressing action or the interference noise exists;
specifically, a subtracter subtracts a press data value acquired by the ADC buffered in the baseline tracking buffer and a parameter baseline value calculated by the baseline updating logic operation unit to obtain a data difference value.
Specifically, the output end of the subtractor is coupled to one input of a comparator, the data difference value is input into the comparator, the other input of the comparator is coupled to a register, the comparator compares a reference threshold value with the input data difference value, if the data difference value is greater than the reference threshold value, it is determined that a pressing action is generated, and if the data difference value is less than or equal to the reference threshold value, the pressing action is regarded as noise and ignored.
(4) The multichannel pressure-sensitive data processing engine is interacted with the ARM (or FPGA) through an AHB bus, and data throughput is increased.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.
Claims (9)
1. A system for automatic tracking and detecting of multi-channel pressure-sensitive signals, comprising: the device comprises a window sliding filtering module, a baseline data self-correcting module and a threshold automatic judging module;
the window sliding filter module includes: the device comprises a data input channel, a digital operation unit and a register; one end of the data input channel is externally connected with an ADC (analog to digital converter), the other end of the data input channel is coupled to a digital operation unit, the digital operation unit comprises a plurality of digital operation sub-units, and each digital operation sub-unit independently outputs data; the digital operation unit also comprises a digital logic operation unit, and a filtering algorithm is arranged in the digital logic operation unit;
the baseline data self-correction module comprises: a baseline tracking buffer area, a stepping detection unit, a temperature change detection unit, a baseline updating tracking counter and a baseline updating logic operation unit; the baseline tracking buffer zone buffers data pressed after finger touch, the output end of the baseline tracking buffer zone is loaded to the stepping detection unit, and the stepping detection unit calculates the data buffered in the baseline tracking buffer zone to obtain a stepping value; the baseline updating tracking counter is coupled to the baseline tracking buffer and counts the data change of the baseline tracking buffer; the temperature change detection unit is coupled to the baseline tracking buffer area and used for adjusting the temperature coefficient of the data pressed in the baseline tracking buffer area; the output ends of the stepping detection unit and the temperature change detection unit are loaded to a baseline updating logic operation unit together;
the threshold automatic judging module comprises: a subtractor and a comparator; one input end of the subtracter is coupled to the baseline tracking buffer area, the other input end of the subtracter is coupled to the output end of the baseline updating logic operation unit in the baseline data self-correcting module, and the subtracter subtracts the press data value acquired by the ADC and cached in the baseline tracking buffer area from the parameter baseline value calculated and output by the baseline updating logic operation unit to obtain a data difference value; the output end of the subtracter is coupled with one input of the comparator, the data difference value is input into the comparator, the other input of the comparator is coupled with the register, and the register is internally provided with a reference threshold value.
2. The system for automatic tracking and detecting of multi-channel pressure-sensitive signals according to claim 1, wherein: the data input channels receive data collected by the ADC in parallel, and transmit the collected data to the digital operation unit.
3. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the digital arithmetic unit is coupled with the register, and the register configures each digital arithmetic subunit in the digital arithmetic unit and is used for setting the window size of the digital arithmetic subunit.
4. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the filtering algorithm comprises: a first-order lag filtering algorithm, a median average filtering algorithm, a median filtering algorithm, a low-pass high-pass filtering algorithm, a weighted recursive average filtering algorithm, a band-pass filtering algorithm, a jitter elimination filtering algorithm, an arithmetic average filtering algorithm, a recursive median average filtering algorithm, a recursive average filtering algorithm, a limiting average filtering algorithm, and a limiting jitter elimination filtering algorithm;
the filtering algorithm arranged in the digital logic operation unit automatically filters the pressure-sensitive data acquired by the ADC by selecting any one or more filtering algorithms, and automatically filters instant jitter.
5. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the baseline tracking buffer area is externally connected with a register, and the register is used for configuring the size of the baseline tracking buffer area.
6. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the baseline updating logic operation unit takes the pressing data of the baseline tracking buffer area as input, takes the stepping value calculated by the stepping detection unit as output, and calculates the parameter baseline value.
7. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1 or 6, wherein: and the baseline updating logic operation unit is used as a parameter index according to the parameter baseline value and the updating times of the baseline updating tracking counter, so that the automatic correction of the baseline data algorithm is realized.
8. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the comparator compares a reference threshold value with an input data difference value, and if the data difference value is larger than the reference threshold value, the pressing behavior is judged to be generated; and if the data difference value is less than or equal to the reference threshold value, the pressing behavior is taken as noise ignoring processing.
9. The system for multi-channel pressure-sensitive signal automatic tracking detection according to claim 1, wherein: the window sliding filtering module, the baseline data self-correcting module and the threshold value automatic judging module jointly form a multi-channel pressure sensing data processing engine, and the multi-channel pressure sensing data processing engine is interacted with the ARM through an AHB bus.
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| US20130176273A1 (en) * | 2012-01-09 | 2013-07-11 | Broadcom Corporation | Fast touch detection in a mutual capacitive touch system |
| US8823678B2 (en) * | 2012-01-09 | 2014-09-02 | Broadcom Corporation | Waterproof baseline tracking in capacitive touch controllers |
| US10068121B2 (en) * | 2015-08-31 | 2018-09-04 | Cypress Semiconductor Corporation | Baseline compensation for capacitive sensing |
| US9571115B1 (en) * | 2015-11-13 | 2017-02-14 | International Business Machines Corporation | Analog to digital converter with high precision offset calibrated integrating comparators |
| CN113381483B (en) * | 2021-07-09 | 2022-03-22 | 上海泰矽微电子有限公司 | Multi-input single-output intelligent selection power supply circuit |
| CN114002525A (en) * | 2021-10-28 | 2022-02-01 | 上海艾为电子技术股份有限公司 | Baseline determining circuit and method, state detecting chip and electronic equipment |
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