CN111091702A - Self-learning infrared decoding method, device and system based on pulse width detection - Google Patents
Self-learning infrared decoding method, device and system based on pulse width detection Download PDFInfo
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Abstract
The invention discloses a pulse width detection-based self-learning infrared decoding method, device and system, and relates to the technical field of infrared data processing. The method comprises the following steps: acquiring data frame information of any data code pattern in a pulse width detection mode; analyzing the data frame, and identifying parameter information of a guide code, a data code and an end code of the infrared code; and setting the identified parameter information into a corresponding register, and switching the pulse width detection mode to the code pattern detection mode to identify the data code pattern corresponding to the code pattern. The invention can analyze the data frame of any data code type through pulse width detection to obtain the parameter information of the guide code, the data code and the end code, automatically set the register parameter, and switch to a code type detection mode to identify the data code type corresponding to the code type, thereby only identifying the data code type of the category.
Description
Technical Field
The invention relates to the technical field of infrared data processing.
Background
Infrared remote control is a communication and remote control technology which is most widely used at present, and is mostly applied to equipment such as televisions, video recorders, air conditioners and the like. The infrared remote control system mainly comprises a transmitting part and a receiving part. The infrared remote control mainly transmits data in a modulation mode, namely, the data and a carrier wave with a certain frequency are subjected to AND operation, so that the transmitting efficiency is improved, and the power consumption of a power supply is reduced. With the development of infrared remote control technology, more and more infrared remote control protocols exist, and at present, hundreds of infrared remote control protocols exist. Although the protocols are different from each other and the data size is different, different meanings are represented by different combinations of high and low level widths, such as, for example, a combination of a high level width 9000 microseconds, a low level width 4500 microseconds, a start (boot code) of the infrared protocol, a combination of a high level width 560 microseconds and a low level width 1120 microseconds, a number 0 of the infrared protocol, and the like. Currently, most infrared receiving devices only support fixed data format patterns. More common data format patterns such as NEC with simple repeat code, SONY, TC 9012.
Because the guiding codes in the infrared instructions sent by different remote control devices are different, the following control instructions have larger differences, and the digits of the instruction codes are different, most infrared remote control decoding devices can only recognize a plurality of common appointed data code types, and the practical performance of the product is greatly reduced.
In order to solve the above problems, various self-learning infrared devices are also proposed in the prior art to implement multi-data code type encoding and decoding, and the infrared self-learning process is summarized as follows: the chip copies the received infrared data code pattern into the memory, and then searches the memory for a match for the next received infrared signal. If the matching is achieved, decoding is achieved; if not, the infrared data continues to be stored in memory. Because the number of different data patterns is huge, the self-learning mode needs huge memories for supporting, and therefore, the cost is higher.
Disclosure of Invention
The invention aims to: the defects of the prior art are overcome, and a pulse width detection-based self-learning infrared decoding method, device and system are provided. The invention can analyze the data frame of any data code type through pulse width detection to obtain the parameter information of the guide code, the data code and the end code, automatically set the register parameter, and switch to a code type detection mode to identify the data code type corresponding to the code type, thereby only identifying the data code type of the category without being influenced by other code types.
In order to achieve the above object, the present invention provides the following technical solutions:
a self-learning infrared decoding method based on pulse width detection comprises the following steps:
acquiring data frame information of any data code pattern in a pulse width detection mode;
analyzing the data frame, and identifying parameter information of a guide code, a data code and an end code of the infrared code;
and setting the identified parameter information into a corresponding register, and switching the pulse width detection mode to the code pattern detection mode to identify the data code pattern corresponding to the code pattern.
Further, the step of identifying the boot code includes,
analyzing the level period of the data frame, and taking the first level period from high to low and then from low to high as a guide code;
the low level parameter IR _ leak and the high level parameter IR _ lead of the level period are acquired.
Further, the steps of calculating the IR _ beads and IR _ lead values are,
when the first high-to-low turning level is detected, counting the low level number to make low _ counter equal to 0, and detecting whether the lower low level turns over every 1 us;
when the turnover does not occur, setting low _ counter to be low _ counter +1, and when the turnover occurs, starting to count a high level number, setting high-counter to be 0;
detecting whether the lower level is turned every 1us, if not, making high-counter be high-counter +1, if so, judging that one level is turned from high to low, and ending the level period from low to high;
calculating the IR _ leaker ═ low _ counter × 1 in the unit us according to the values of the aforementioned low _ counter and high _ counter; IR _ lead ═ high _ counter 1, in units of us.
Further, the step of identifying the data code includes,
analyzing the residual data of the data frame to obtain the length and the number of effective high levels;
setting the level period with shorter length of the effective high level as a B0 data code pattern, setting the level period with longer length of the effective high level as a B1 data code pattern, and taking the total number of the effective high levels as the data length of the infrared coding.
Further, the step of identifying the end code includes,
when the high level is detected not to overturn any more, the last level period is judged;
analyzing the last level period, and when the first half period of the last high level has a low level signal, judging the data frame to be a burst code type and acquiring a burst parameter; and when the first half period of the last high level has no low level signal, judging that the data frame has no burst code pattern.
Further, when the data patterns of other patterns need to be identified, the pattern detection mode is switched to a self-learning decoding mode, and the corresponding data patterns can be analyzed based on the identified guide codes in the self-learning decoding mode.
The invention also provides a self-learning infrared decoding device, which comprises the following structure:
a mode selection circuit for setting a pulse width detection mode and a pattern detection mode;
the receiving circuit is used for acquiring data frame information of any data code pattern in a pulse width detection mode;
the analysis circuit is used for analyzing the data frame and identifying the parameter information of the guide code, the data code and the end code of the infrared code;
and the setting circuit is used for setting the identified parameter information into a corresponding register and switching the pulse width detection mode to the code pattern detection mode so as to identify the data code pattern of the corresponding code pattern.
And the infrared coding device further comprises a storage circuit, wherein the storage circuit is used for storing the acquired data frame and the coding analysis information corresponding to the data frame and constructing an infrared coding code library.
The invention also provides an infrared remote control system which comprises an infrared transmitting device and an infrared receiving device, wherein the infrared receiving device comprises the self-learning infrared decoding device.
Further, the infrared transmitting device can transmit infrared instructions of various data code types.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages and positive effects as examples: the invention can analyze the data frame of any data code type through pulse width detection to obtain the parameter information of the guide code, the data code and the end code to set the register, and switches to a code type detection mode to identify the data code type of the corresponding code type, thereby only identifying the data code type of the category without being influenced by other code types. Furthermore, the method can be adjusted to a self-learning decoding mode according to needs, and the self-learning decoding mode can analyze the corresponding data code pattern based on the identified guide code and support the self-learning process of any data code pattern.
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Fig. 1 is a flowchart of a pulse width detection-based self-learning infrared decoding method according to an embodiment of the present invention.
Fig. 2 is a block diagram of a system according to an embodiment of the present invention.
Detailed Description
The following describes the self-learning infrared decoding method, apparatus and system based on pulse width detection according to the present invention with reference to the accompanying drawings and specific embodiments. It should be noted that technical features or combinations of technical features described in the following embodiments should not be considered as being isolated, and they may be combined with each other to achieve better technical effects. In the drawings of the embodiments described below, the same reference numerals appearing in the respective drawings denote the same features or components, and may be applied to different embodiments. Thus, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.
It should be noted that the structures, proportions, sizes, and other dimensions shown in the drawings and described in the specification are only for the purpose of understanding and reading the present disclosure, and are not intended to limit the scope of the invention, which is defined by the claims, and any modifications of the structures, changes in the proportions and adjustments of the sizes and other dimensions, should be construed as falling within the scope of the invention unless the function and objectives of the invention are affected. The scope of the preferred embodiments of the present invention includes additional implementations in which functions may be executed out of order from that described or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Examples
Referring to fig. 1, a self-learning infrared decoding method based on pulse width detection is disclosed, the method comprising the steps of:
and S100, acquiring data frame information of any data code pattern in a pulse width detection mode.
In this embodiment, preferably, a data frame of any data code pattern is acquired by a symbol level width detection method, and an infrared signal is captured.
And S200, analyzing the data frame, and identifying parameter information of a guide code, a data code and an end code of the infrared code.
In the infrared instructions sent by different infrared emission devices, the guiding codes are different, and the lengths and the digits of the data codes are different. And acquiring parameter information of a guide code, a data code and an end code in the infrared code through analysis.
In this embodiment, the infrared code analysis process is preferably as follows.
The received infrared code pattern is defaulted to high level, firstly, the guiding code needs to be identified, and the specific steps comprise:
analyzing the level period of the data frame, and taking the first level period from high to low and then from low to high as a guide code;
the low level parameter IR _ low and the high level parameter IR _ low of the level period are obtained by calculation.
Wherein the steps of calculating the IR _ LEADS and IR _ LEADE values are,
when the first overturn level from high to low is detected, counting the number of low levels to make low-counter equal to 0, and detecting whether the lower low level overturns every 1 us;
when the turnover does not occur, the low _ counter is equal to low _ counter +1, and when the turnover occurs, the high level number is counted, and the high _ counter is equal to 0;
detecting whether the lower level is turned every 1us, if not, making high _ counter be high _ counter +1, if turning, judging that one level is turned from high to low, and ending the level period from low to high;
calculating the IR _ leaker ═ low _ counter × 1 in the unit us according to the values of the aforementioned low _ counter and high _ counter; IR _ lead ═ high _ counter 1, in units of us.
Secondly, the data code is identified, and the specific steps comprise:
analyzing the residual data of the data frame to obtain the length and the number of effective high levels;
setting the level period with shorter length of the effective high level as a B0 data code pattern, setting the level period with longer length of the effective high level as a B1 data code pattern, and taking the total number of the effective high levels as the data length of the infrared coding.
In specific implementation, the high and low levels can be determined according to the voltage value of the data frame, and the calculation method of the length of the high and low levels of the data is the same as the calculation method of the IR _ pads and the IR _ level.
In the high level threshold range, the length of the effective high level is compared, the small level period is the B0 data pattern, and the large group of level periods is the B1 data pattern.
The method for obtaining the number data _ counter of the number of the active high levels of one data frame may be as follows: setting the data _ counter to be 0; starting from the second level period (i.e., the level period after the boot code), when a level period from high to low and then from low to high is completed, let data _ counter be data _ counter + 1.
By the method, the values of B0, B1 and data-counter can be obtained.
Finally, identifying the end code, the specific steps include: when the high level is detected not to overturn any more, the last level period is judged;
analyzing the last level period, and when the first half period of the last high level has a low level signal, judging the data frame to be a burst code type and acquiring a burst parameter; and when the first half period of the last high level has no low level signal, judging that the data frame has no burst code pattern.
In this embodiment, the above calculation process may be implemented by hardware and/or software, which should not be construed as limiting the present invention.
S300, setting the identified parameter information into a corresponding register, and switching a pulse width detection mode to a code pattern detection mode to identify a data code pattern of a corresponding code pattern.
And setting the decoded and identified parameter information to a corresponding register, and switching the sympol pulse width detection mode to a code pattern detection mode, namely a pilot code detection mode. The data code pattern corresponding to the boot code can be identified through the boot code without being influenced by other data code patterns.
Therefore, only the self-learned infrared instructions of the same data code pattern can be analyzed, and the interference of the infrared instructions of other data code patterns is avoided.
In this embodiment, preferably, when the data pattern of another pattern needs to be identified, the pattern detection mode is switched to the self-learning decoding mode. In the self-learning decoding mode, the corresponding data code pattern can be analyzed based on the identified guide code.
The invention further provides a self-learning infrared decoding device.
The device comprises a mode selection circuit, a receiving circuit, an analysis circuit and a setting circuit.
The mode selection circuit is used for setting a pulse width detection mode and a code pattern detection mode.
The receiving circuit is used for acquiring data frame information of any data code pattern in a pulse width detection mode. Preferably, a data frame of any data code pattern is acquired by a symbol level width detection mode, and an infrared signal is captured.
The analysis circuit is used for analyzing the data frame and identifying the parameter information of the guide code, the data code and the end code of the infrared code. In the infrared instructions sent by different infrared emission devices, the guiding codes are different, and the lengths and the digits of the data codes are different. And acquiring parameter information of a guide code, a data code and an end code in the infrared code through analysis.
The setting circuit is used for setting the identified parameter information into a corresponding register and switching the pulse width detection mode to the code pattern detection mode to identify the data code pattern of the corresponding code pattern.
And setting the decoded and identified parameter information to a corresponding register, and switching the sympol pulse width detection mode to a code pattern detection mode, namely a pilot code detection mode. The data code pattern corresponding to the boot code can be identified through the boot code without being influenced by other data code patterns. Therefore, only the self-learned infrared instructions of the same data code pattern can be analyzed, and the interference of the infrared instructions of other data code patterns is avoided.
In this embodiment, the infrared encoding system may further include a storage circuit to store the acquired data frame and the encoding analysis information corresponding to the data frame, and construct an infrared encoding code library.
Other technical features are referred to the foregoing embodiments and will not be described herein.
Referring to fig. 2, an infrared remote control system is further provided as another embodiment of the present invention.
The system includes an infrared transmitting device (i.e., a transmitting module) and an infrared receiving device (i.e., a receiving module).
The infrared transmitting device can transmit infrared instructions of various data code types.
The infrared receiving device comprises a self-learning infrared decoding device, and the self-learning infrared decoding device comprises a mode selection circuit, a receiving circuit, an analysis circuit and a setting circuit (not shown in the figure).
After capturing the infrared instruction, sending a starting signal to trigger the mode selection circuit to enter a pulse width detection mode.
The receiving circuit is used for acquiring data frame information of any data code pattern in a pulse width detection mode. Preferably, a data frame of any data code pattern is acquired by a symbol level width detection mode, and an infrared signal is captured.
The analysis circuit is used for analyzing the data frame and identifying the parameter information of the guide code, the data code and the end code of the infrared code.
The setting circuit is used for setting the identified parameter information into a corresponding register and switching the pulse width detection mode to the code pattern detection mode to identify the data code pattern of the corresponding code pattern.
And setting the decoded and identified parameter information to a corresponding register, and switching the sympol pulse width detection mode to a code pattern detection mode, namely a pilot code detection mode. The data code pattern corresponding to the boot code can be identified through the boot code without being influenced by other data code patterns. Therefore, only the self-learned infrared instructions of the same data code pattern can be analyzed, and the interference of the infrared instructions of other data code patterns is avoided.
Other technical features are referred to the foregoing embodiments and will not be described herein.
In the foregoing description, the disclosure of the present invention is not intended to limit itself to these aspects. Rather, the various components may be selectively and operatively combined in any number within the intended scope of the present disclosure. In addition, terms like "comprising," "including," and "having" should be interpreted as inclusive or open-ended, rather than exclusive or closed-ended, by default, unless explicitly defined to the contrary. All technical, scientific, or other terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. Common terms found in dictionaries should not be interpreted too ideally or too realistically in the context of related art documents unless the present disclosure expressly limits them to that. Any changes and modifications of the present invention based on the above disclosure will be within the scope of the appended claims.
Claims (10)
1. A self-learning infrared decoding method based on pulse width detection is characterized by comprising the following steps:
acquiring data frame information of any data code pattern in a pulse width detection mode;
analyzing the data frame, and identifying parameter information of a guide code, a data code and an end code of the infrared code;
and setting the identified parameter information into a corresponding register, and switching the pulse width detection mode to the code pattern detection mode to identify the data code pattern corresponding to the code pattern.
2. The method of claim 1, wherein: the step of identifying the boot code may include,
analyzing the level period of the data frame, and taking the first level period from high to low and then from low to high as a guide code;
the low level parameter IR _ leak and the high level parameter IR _ lead of the level period are acquired.
3. The method of claim 2, wherein: the steps of calculating the IR _ beads and IR _ lead values are,
when the first high-to-low turning level is detected, counting the low level number to make low _ counter equal to 0, and detecting whether the lower low level turns over every 1 us;
when the turnover does not occur, the low _ counter is equal to low _ counter +1, and when the turnover occurs, the high level number is counted, and the high _ counter is equal to 0;
detecting whether the lower level is turned every 1us, if not, making high-counter be high-counter +1, if so, judging that one level is turned from high to low, and ending the level period from low to high;
calculating the IR-LEADS as low _ counter 1 in us according to the values of the low _ counter and the high-counter; IR _ lead ═ high _ counter 1, in units of us.
4. The method of claim 2, wherein: the step of identifying the data code comprises analyzing the residual data of the data frame to obtain the length and the number of the effective high level;
setting the level period with shorter length of the effective high level as a B0 data code pattern, setting the level period with longer length of the effective high level as a B1 data code pattern, and taking the total number of the effective high levels as the data length of the infrared coding.
5. The method according to claim 1 or 4, characterized in that: the step of identifying the end code may comprise,
when the high level is detected not to overturn any more, the last level period is judged;
analyzing the last level period, and when the first half period of the last high level has a low level signal, judging the data frame to be a burst code type and acquiring a burst parameter; and when the first half period of the last high level has no low level signal, judging that the data frame has no burst code pattern.
6. The method of claim 1, wherein: and when the data code patterns of other code patterns need to be identified, switching the code pattern detection mode to a self-learning decoding mode, and analyzing the corresponding data code patterns based on the identified guide codes in the self-learning decoding mode.
7. A self-learning infrared decoding device is characterized by comprising the following structures:
a mode selection circuit for setting a pulse width detection mode and a pattern detection mode;
the receiving circuit is used for acquiring data frame information of any data code pattern in a pulse width detection mode;
the analysis circuit is used for analyzing the data frame and identifying the parameter information of the guide code, the data code and the end code of the infrared code;
and the setting circuit is used for setting the identified parameter information into a corresponding register and switching the pulse width detection mode to the code pattern detection mode so as to identify the data code pattern of the corresponding code pattern.
8. The self-learning infrared decoding device of claim 7, wherein: the infrared coding device also comprises a storage circuit which is used for storing the acquired data frame and the coding analysis information corresponding to the data frame and constructing an infrared coding code library.
9. An infrared remote control system, includes infrared emitter and infrared receiving arrangement, its characterized in that: the infrared receiving device comprises the self-learning infrared decoding device of any one of claims 7-8.
10. The system of claim 9, wherein: the infrared transmitting device can transmit infrared instructions of various data code types.
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