Key self-learning method and system and driving equipment

Abstract

The invention discloses a key self-learning method and system and driving equipment, and relates to the technical field of electronic equipment control. The method comprises the following steps: sending a key self-learning instruction; controlling the key to be self-learned to send out a first high-frequency signal carrying a preset identifier; high-frequency signals are collected according to a preset sampling period; analyzing the collected high-frequency signal and detecting whether the high-frequency signal carries a preset identifier; if yes, the detected high-frequency signal is marked as a second high-frequency signal, a first key ID carried by the second high-frequency signal is recognized, and a first low-frequency signal is sent out; controlling the key to be self-learned to receive the first low-frequency signal and send out a third high-frequency signal; and receiving the third high-frequency signal and judging whether the third high-frequency signal is matched with the second high-frequency signal, and if so, storing the first key ID. By means of the method, the high-frequency signal sent by the key to be learned can be effectively distinguished from other high-frequency interference signals, interference is reduced, and it is ensured that the key self-learning process is smoothly carried out.

Description

Technical Field

[0001] The present application relates to the technical field of electronic equipment control, and in particular to a key self-learning method, system and driving device. Background Art

[0002] Driving equipment with a remote control key, such as a car, needs to match the remote control key with the car during the production assembly stage or the factory maintenance stage. Usually, the key is self-learned at a key self-learning station to achieve matching of the key with the car.

[0003] However, the existing key self-learning process is often invaded by interference signals due to the presence of other interference signals, resulting in the failure of the key self-learning process and the inability to ship, which seriously affects energy efficiency. Summary of the invention

[0004] An embodiment of the present application provides a key self-learning method, aiming to overcome the technical problem in the prior art that key self-learning is easily disturbed and causes self-learning failure; another purpose of the embodiment of the present application is to provide a key self-learning system; the third purpose of the present application is to provide a driving device.

[0005] A key self-learning method described in an embodiment of the present application includes:

[0006] Issue key self-learning command;

[0007] Controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier;

[0008] Collect high-frequency signals according to a preset sampling period;

[0009] Analyzing the collected high-frequency signal and detecting whether the high-frequency signal carries the preset identifier;

[0010] When it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted; wherein the first low-frequency signal carries the first key ID;

[0011] Controlling the key to be self-learned to receive the first low-frequency signal and send a third high-frequency signal; wherein the third high-frequency signal carries the first key ID;

[0012] receiving the third high frequency signal, and determining whether the third high frequency signal matches the second high frequency signal;

[0013] When the third high frequency signal matches the second high frequency signal, the first key ID is stored.

[0014] In some embodiments, controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier specifically includes: controlling the key to be self-learned to emit a preset number of frames of the first high-frequency signal carrying the preset identifier according to a preset sending period.

[0015] In some embodiments, the preset number of frames is greater than or equal to three frames.

[0016] In some embodiments, the analyzing the collected high-frequency signal specifically includes: analyzing the high-frequency signal collected within the preset sampling period according to a first-in-first-out principle.

[0017] In some embodiments, after controlling the to-be-self-learning key to receive the first low-frequency signal, the method further includes:

[0018] It is determined whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal; if they are consistent, the first key ID is stored.

[0019] In some embodiments, the key self-learning method also includes: when the high-frequency signal is not collected within the preset sampling period, or it is detected that the collected high-frequency signal does not carry the preset identifier, or it is determined that the third high-frequency signal does not match the second high-frequency signal, or the first key ID carried by the first low-frequency signal is inconsistent with the second key ID carried by the first high-frequency signal, the key self-learning process is terminated.

[0020] In some embodiments, the key self-learning method further includes: controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier when the unlocking button and the locking button are pressed simultaneously.

[0021] In some embodiments, the preset identifier is a binary identifier 1.

[0022] In some embodiments, the determining whether the third high-frequency signal matches the second high-frequency signal specifically includes: determining whether a key ID carried by the third high-frequency signal is consistent with a key ID carried by the second high-frequency signal.

[0023] Accordingly, a key self-learning system described in an embodiment of the present application includes:

[0024] A command issuing module, used to issue a key self-learning command;

[0025] A first signal sending module, used for controlling the key to be self-learned to send a first high-frequency signal carrying a preset identifier;

[0026] A signal acquisition module, used to acquire high-frequency signals according to a preset sampling period;

[0027] A signal analysis and detection module, used to analyze the collected high-frequency signal and detect whether the high-frequency signal carries the preset identifier; when it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted; wherein the first low-frequency signal carries the first key ID;

[0028] A first signal receiving module, used for controlling the key to be self-learned to receive the first low-frequency signal;

[0029] A second signal sending module, used to control the key to be self-learned to send a third high-frequency signal; wherein the third high-frequency signal carries the first key ID;

[0030] A second signal receiving module, used for receiving the third high frequency signal;

[0031] A judging module, used for judging whether the third high frequency signal matches the second high frequency signal;

[0032] A storage module is used to store the first key ID when the third high-frequency signal matches the second high-frequency signal.

[0033] Correspondingly, a driving device described in an embodiment of the present application includes the key self-learning system as described above.

[0034] Beneficial effect: Compared with the prior art, the key self-learning method, system and driving device of the embodiment of the present application include: issuing a key self-learning instruction; controlling the key to be self-learned to send a first high-frequency signal carrying a preset identifier; collecting high-frequency signals according to a preset sampling period; parsing the collected high-frequency signal and detecting whether the high-frequency signal carries a preset identifier; when the high-frequency signal is detected to carry a preset identifier, recording the collected high-frequency signal as a second high-frequency signal, identifying the first key ID carried by the second high-frequency signal, and sending a first low-frequency signal; wherein the first low-frequency signal carries the first key ID; controlling the key to be self-learned to receive the first low-frequency signal and send a third high-frequency signal; wherein the third high-frequency signal carries the first key ID; receiving the third high-frequency signal, and judging whether the third high-frequency signal matches the second high-frequency signal, and when the third high-frequency signal matches the second high-frequency signal, storing the first key ID. Through this method, the high-frequency signal emitted by the key to be learned and other high-frequency interference signals can be effectively distinguished, thereby reducing the influence of other interference signals on the self-learning process of the key to be learned, ensuring the smooth progress of the key self-learning process, improving the stability and reliability of the key self-learning, thereby ensuring normal factory shipment and production capacity. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 A flowchart of a key self-learning method provided in an embodiment of the present application;

[0037] Figure 2 is a flow chart of another key self-learning method provided in an embodiment of the present application;

[0038] Figure 3 It is a timing diagram of collecting various high-frequency signals provided in the embodiments of the present application;

[0039] Figure 4 is a flow chart of another key self-learning method provided in an embodiment of the present application;

[0040] Figure 5 It is a schematic diagram of the overall process of a key self-learning method provided in an embodiment of the present application;

[0041] Figure 6 It is a principle structural block diagram of a key self-learning system provided in an embodiment of the present application.

[0042] Reference numerals:

[0043] 10-instruction issuing module; 20-first signal issuing module; 30-signal acquisition module; 40-signal analysis and detection module; 50-first signal receiving module; 60-second signal issuing module; 70-second signal receiving module; 80-judgment module; 90-storage module; 100-key self-learning system. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0045] It should be understood that although the terms first, second, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another component. Therefore, the first component discussed below can be referred to as the second component without departing from the teachings of the concepts of the present application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more.

[0046] Those skilled in the art will appreciate that the drawings are only schematic diagrams of example embodiments and may not be to scale. The modules or processes in the drawings are not necessarily required to implement the present application and therefore cannot be used to limit the scope of protection of the present application.

[0047] Figure 1 This is a flowchart of a key self-learning method provided in an embodiment of the present application. This method can be applied to the assembly stage before the key leaves the factory and / or the maintenance stage after leaving the factory, so as to realize the smooth progress of the key self-learning process and reduce the situation where the key self-learning process is susceptible to interference from other high-frequency interference signals. This method can be executed by a key self-learning system, which can be implemented by software and / or hardware, and can be configured in the processor of the key self-learning platform. Please refer to Figure 1 , the method comprises the following steps:

[0048] Step 110: Issue a key self-learning instruction.

[0049] Specifically, when the key needs to be self-learned, a key self-learning instruction is issued to start the key self-learning.

[0050] Step 120: Control the key to be self-learned to send out a first high-frequency signal carrying a preset identifier.

[0051] Among them, each key to be self-learned will send out a high-frequency signal when self-learning is required, and the sent high-frequency signal will contain key information carrying a preset identifier and its own key ID.

[0052] Specifically, when the key needs to be self-learned, a key self-learning instruction is issued. After the key self-learning instruction is issued, the key to be self-learned is controlled to send a first high-frequency signal carrying a preset identifier and a second key ID.

[0053] Among them, the preset flag can be a binary flag bit 1.

[0054] In addition, the preset flag can also be set to a binary flag bit 0, which can be set specifically according to actual conditions and is not specifically limited here.

[0055] In some embodiments, the specific implementation method of controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier may be: controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier when the unlock button and the lock button are pressed simultaneously.

[0056] In addition, it can also be set that when the unlock button or the lock button is pressed, the key to be self-learned is controlled to send a first high-frequency signal carrying a preset identifier. The specific setting can be based on actual conditions and is not specifically limited here.

[0057] Step 130: Collect high-frequency signals according to a preset sampling period.

[0058] Among them, the preset sampling period can be set to 1 minute, 2 minutes, etc. The specific value can be set according to the actual situation and is not specifically limited here.

[0059] Step 140, analyze the collected high-frequency signal and detect whether it carries a preset identifier; when it is detected that the high-frequency signal carries the preset identifier, record the collected high-frequency signal as a second high-frequency signal, identify the first key ID carried by the second high-frequency signal, and send out a first low-frequency signal.

[0060] The first low-frequency signal carries the first key ID.

[0061] Since the high-frequency signal collected within the preset sampling period may include the first high-frequency signal and / or other high-frequency interference signals, it is necessary to detect the collected high-frequency signal to determine whether it is a high-frequency signal emitted by the key to be learned or other high-frequency interference signals. The specific detection process is: analyze the collected high-frequency signal and detect whether it carries a preset identifier. If it does not carry the preset identifier, it means that the collected high-frequency signal is other high-frequency interference signals, and the key self-learning process is terminated at this time. If it carries the preset identifier, it means that the collected high-frequency signal is a high-frequency signal emitted by the key to be learned, and the high-frequency signal is recorded as the second high-frequency signal. Then, the first key ID carried by the second high-frequency signal is identified, and the first low-frequency signal carrying the first key ID is emitted. In this way, the collected high-frequency signal can be effectively distinguished, ensuring that the collected high-frequency signal is a high-frequency signal emitted by the key self-learning, so as to ensure that the key to be self-learned can smoothly perform key self-learning, and improve the anti-interference ability, stability and reliability of key self-learning.

[0062] Step 150: Control the key to be self-learned to receive the first low-frequency signal and send out a third high-frequency signal.

[0063] The third high-frequency signal carries the first key ID.

[0064] Specifically, after the collected high-frequency signal is detected and determined to be a high-frequency signal emitted by the key to be learned, a first low-frequency signal carrying the first key ID is emitted. The key to be self-learned is controlled to receive the first low-frequency signal and then store the first key ID. The key to be self-learned is controlled to emit a third high-frequency signal carrying the first key ID after storing the first key ID. Therefore, after detecting that the collected high-frequency signal is a high-frequency signal emitted by the key to be self-learned, by sending the first low-frequency signal to the key to be self-learned, the interference of other low-frequency interference signals to the key self-learning can be reduced, and the anti-interference ability of the key self-learning can be further improved, ensuring the smooth progress of the key self-learning, thereby ensuring production capacity and improving production efficiency.

[0065] Step 160: Receive the third high frequency signal, and determine whether the third high frequency signal matches the second high frequency signal. If the third high frequency signal matches the second high frequency signal, store the first key ID.

[0066] In some embodiments, determining whether the third high-frequency signal matches the second high-frequency signal specifically includes: determining whether a key ID carried by the third high-frequency signal is consistent with a key ID carried by the second high-frequency signal.

[0067] The specific process of determining whether the third high frequency signal matches the second high frequency signal may be: matching the key ID information carried by the two high frequency signals one by one, if both can match each other, it means that the third high frequency signal matches the second high frequency signal. Otherwise, the two do not match.

[0068] Specifically, by matching and judging the third high-frequency signal replied by the key to be self-learned with the second high-frequency signal, the accuracy of the key self-learning process can be further ensured, and the key self-learning can be ensured to proceed smoothly.

[0069] It should be noted that, in the technical solution of this embodiment, the specific implementation method of controlling the key to be learned to send high-frequency signals and / or receive low-frequency signals is: the key to be learned is a remote control key that can send and receive radio frequency signals (the same below, no further details).

[0070] In the technical solution of this embodiment, the working principle of the key self-learning method is: Figure 1 , first, issue a key self-learning instruction. Control the key to be self-learned to send out a first high-frequency signal carrying a preset identifier. Then, collect high-frequency signals according to a preset sampling period. Secondly, parse the collected high-frequency signal and detect whether the high-frequency signal carries a preset identifier; when it is detected that the high-frequency signal carries a preset representation, record the collected high-frequency signal as a second high-frequency signal, identify the first key ID carried by the second high-frequency signal, and send out a first low-frequency signal; wherein the first low-frequency signal carries the first key ID. Control the key to be self-learned to receive the first low-frequency signal and send out a third high-frequency signal; wherein the third high-frequency signal carries the first key ID. Finally, receive the third high-frequency signal, and determine whether the third high-frequency signal matches the second high-frequency signal. When the third high-frequency signal matches the second high-frequency signal, store the first key ID, and end the key self-learning process. It can be seen from this that by detecting whether the collected high-frequency signal carries a preset identifier, the high-frequency signal sent by the key to be self-learned and other high-frequency interference signals can be effectively distinguished, thereby reducing the interference of other high-frequency interference signals on the key self-learning process, ensuring the smooth progress of the key self-learning process, thereby ensuring normal factory shipment and production capacity.

[0071] Figure 2 This is a flowchart of another key self-learning method provided in the embodiment of the present application. Figure 2 , the key self-learning method comprises the following steps:

[0072] Step 210: Issue a key self-learning instruction.

[0073] Step 220: Control the key to be self-learned to send a preset number of frames of a first high-frequency signal carrying a preset identifier according to a preset sending period.

[0074] Among them, the preset sending period can be 50ms, 70ms, 0.1s, etc. The specific value can be set according to the actual situation and is not specifically limited here.

[0075] Among them, the preset frame number is greater than or equal to three frames, and the specific value can be set according to actual conditions and is not specifically limited here.

[0076] Step 230: Collect high-frequency signals according to a preset sampling period.

[0077] Step 240, the high-frequency signal collected within the preset sampling period is parsed according to the first-in-first-out principle, and it is detected whether the high-frequency signal carries a preset identifier; if the currently detected high-frequency signal carries a preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted.

[0078] In some embodiments, when analyzing the high-frequency signal collected within the preset sampling period, it also includes: analyzing the high-frequency signal collected within the preset sampling period according to the first-in-first-out principle.

[0079] Among them, parsing according to the first-in-first-out principle means: the high-frequency signals collected first within the preset sampling period are parsed according to the time order of collection, and then the subsequently collected high-frequency signals are parsed in sequence, thereby ensuring that the high-frequency signals emitted by the self-learning key within the preset sampling period can be collected, thereby avoiding missed detection and causing the keys that normally need self-learning to be ignored.

[0080] Figure 3 is a timing diagram of various high frequency signal acquisitions provided in the embodiments of the present application. For example, please refer to Figure 3, the timing of other high-frequency interference signals is such as timing SX1, the high-frequency signal emitted by the key to be self-learned is such as timing SX2, and the timing of collecting high-frequency signals according to the preset sampling period is such as timing SX3. Exemplarily, the key to be self-learned sends out a frame of high-frequency signal every 70ms, and sends out 3 frames in succession. Among them, SX1 is earlier than SX2 (other lagging high-frequency interference signals do not need to be considered). After collecting high-frequency signals within the preset sampling period, each collected high-frequency signal is stored in real time, and each collected high-frequency signal is analyzed and detected according to the first-in-first-out principle to detect whether it carries a preset identifier. If the currently detected high-frequency signal carries a preset identifier, it means that the currently detected high-frequency signal is a high-frequency signal emitted by the key to be self-learned, then the currently detected high-frequency signal is recorded as the second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and the first low-frequency signal is emitted. If the currently detected high-frequency signal does not carry the preset identifier, it means that the currently detected high-frequency signal is other high-frequency interference signals, and the key self-learning process ends. Therefore, by controlling the key to be self-learned to send 3 frames of high-frequency signals in succession, it can be ensured that the high-frequency signal emitted by the key to be self-learned can be collected. In addition, the collected high-frequency signals are analyzed and detected according to the first-in-first-out principle, which can ensure that the high-frequency signal emitted by the key to be self-learned can be detected, avoiding missed detection and causing the key to be self-learned to be unable to perform self-learning, thereby further improving the anti-interference performance, stability and reliability of key self-learning.

[0081] Step 250: Control the key to be self-learned to receive the first low-frequency signal and send out a third high-frequency signal.

[0082] Step 260: Receive the third high frequency signal, and determine whether the third high frequency signal matches the second high frequency signal. If the third high frequency signal matches the second high frequency signal, store the first key ID.

[0083] In the technical solution of this embodiment, the working principle of the key self-learning method is: Figure 2First, a key self-learning instruction is issued. The key to be self-learned is controlled to send a preset number of frames of a first high-frequency signal carrying a preset identifier according to a preset sending period. Then, the high-frequency signal is collected according to a preset sampling period. Secondly, the high-frequency signal collected within the preset sampling period is parsed according to the first-in-first-out principle, and it is detected whether the high-frequency signal carries a preset identifier; the high-frequency signal currently detected carries a preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is issued. The key to be self-learned is controlled to receive the first low-frequency signal and send a third high-frequency signal. Finally, the third high-frequency signal is received, and it is determined whether the third high-frequency signal matches the second high-frequency signal. When the third high-frequency signal matches the second high-frequency signal, the first key ID is stored. It can be seen from this that by detecting whether the collected high-frequency signal carries a preset identifier, the high-frequency signal emitted by the key to be self-learned and other high-frequency interference signals can be effectively distinguished, thereby reducing the interference of other high-frequency interference signals on the key self-learning process, ensuring the smooth progress of the key self-learning process, thereby ensuring normal factory shipment and production capacity. And by controlling the key to be self-learned to continuously send 3 frames of high-frequency signals, it can ensure that the high-frequency signal emitted by the key to be self-learned can be collected. And according to the first-in-first-out principle, the collected high-frequency signals are analyzed and detected to ensure that the high-frequency signal emitted by the key to be self-learned can be detected, avoiding missed detection, which will cause the key to be self-learned to be unable to self-learn, thereby further improving the anti-interference performance, stability and reliability of key self-learning.

[0084] Figure 4 This is a flowchart of another key self-learning method provided in the embodiment of the present application. Figure 4 , the key self-learning method comprises the following steps:

[0085] Step 310: Issue a key self-learning instruction.

[0086] Step 320: Control the key to be self-learned to send a preset number of frames of a first high-frequency signal carrying a preset identifier according to a preset sending period.

[0087] Step 330: Collect high-frequency signals according to a preset sampling period.

[0088] Step 340, the high-frequency signal collected within the preset sampling period is parsed according to the first-in-first-out principle, and whether the high-frequency signal carries a preset identifier is detected; when the detected high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted.

[0089] Step 350, control the key to be self-learned to receive the first low-frequency signal, determine whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal; if they are consistent, store the first key ID and send out a third high-frequency signal.

[0090] Specifically, after detecting that the collected high-frequency signal is a high-frequency signal emitted by the key to be self-learned, a first low-frequency signal carrying the first key ID is emitted. After the key to be self-learned receives the first low-frequency signal, it is controlled to first determine whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal. When it is determined that the two are consistent, the first key ID is stored. Therefore, by verifying the key ID of the first low-frequency signal received by the key to be self-learned, the smooth progress of key self-learning can be further ensured, errors can be avoided, and the reliability and effectiveness of key self-learning can be improved.

[0091] Step 360: Receive the third high frequency signal, and determine whether the third high frequency signal matches the second high frequency signal. When the third high frequency signal matches the second high frequency signal, store the first key ID.

[0092] In the technical solution of this embodiment, the working principle of the key self-learning method is: Figure 4First, issue a key self-learning instruction. Control the key to be self-learned to send a preset number of frames of a first high-frequency signal carrying a preset identifier according to a preset sending period. Then, collect high-frequency signals according to a preset sampling period. Secondly, parse the high-frequency signal collected within the preset sampling period according to the first-in-first-out principle, and detect whether the high-frequency signal carries a preset identifier; when the detected high-frequency signal carries a preset identifier, record the collected high-frequency signal as a second high-frequency signal, identify the first key ID carried by the second high-frequency signal, and send out a first low-frequency signal. Control the key to be self-learned to receive the first low-frequency signal, determine whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal; if they are consistent, store the first key ID and send out a third high-frequency signal. Finally, receive the third high-frequency signal, and determine whether the third high-frequency signal matches the second high-frequency signal. When the third high-frequency signal matches the second high-frequency signal, store the first key ID. It can be seen that by detecting whether the collected high-frequency signal carries a preset identifier, the high-frequency signal emitted by the key to be self-learned and other high-frequency interference signals can be effectively distinguished, thereby reducing the interference of other high-frequency interference signals on the key self-learning process, ensuring the smooth progress of the key self-learning process, thereby ensuring normal factory shipments and production capacity. And by verifying the key ID of the first low-frequency signal received by the key to be self-learned, it is possible to further ensure the smooth progress of key self-learning, avoid errors, further improve the stability, reliability and effectiveness of key self-learning, ensure factory production capacity, and improve production efficiency.

[0093] In some embodiments, the key self-learning method also includes: when no high-frequency signal is collected within a preset sampling period, or it is detected that the collected high-frequency signal does not carry a preset identifier, or it is determined that the third high-frequency signal does not match the second high-frequency signal, or the first key ID carried by the first low-frequency signal is inconsistent with the second key ID carried by the first high-frequency signal, the key self-learning process is terminated.

[0094] Specifically, by terminating the key self-learning process when no high-frequency signal is collected within the preset sampling period, or when it is detected that the collected high-frequency signal does not carry the preset identifier, or when it is determined that the third high-frequency signal does not match the second high-frequency signal, or when the first key ID carried by the first low-frequency signal is inconsistent with the second key ID carried by the first high-frequency signal, the key self-learning process can be further ensured to proceed smoothly, thereby further improving the anti-interference performance, reliability and effectiveness of the key self-learning.

[0095] Figure 5 Schematic diagram of the overall process of a key self-learning method provided in an embodiment of the present application. Figure 5, first, issue a key self-learning instruction. And control the key to be self-learned to send 3 frames of first high-frequency signals carrying a preset identification bit 1 and a second key ID according to a preset sending period when the unlock button and the lock button are pressed at the same time. Then, determine whether the high-frequency signal is received within the preset sampling period. If the high-frequency signal is not received, end the key self-learning process. If the high-frequency signal is received, parse the high-frequency signal and determine whether the preset identification in the high-frequency signal is 1. If not 1, return to execute the operation of determining whether the high-frequency signal is received. If it is 1, the detected high-frequency signal is recorded as the second high-frequency signal, and a first low-frequency signal carrying the first key ID is issued. And control the key to be self-learned to receive the first low-frequency signal, and determine whether the first key ID carried by the received first low-frequency signal is consistent with the second key ID of the key to be self-learned. If not, end the key self-learning process. If consistent, control the key to be self-learned to store the first key ID, and send a third high-frequency signal carrying the first key ID. Then, receive the third high-frequency signal, and determine whether the third high-frequency signal matches the second high-frequency signal. If they match, store the first key ID. If they do not match, the key self-learning process ends.

[0096] Figure 6 is a principle structure block diagram of a key self-learning system provided in the embodiment of the present application. Correspondingly, the embodiment of the present application also provides a key self-learning system, please refer to Figure 6 The key self-learning system 100 includes: an instruction issuing module 10, which is used to issue a key self-learning instruction. A first signal issuing module 20, which is used to control the key to be self-learned to issue a first high-frequency signal carrying a preset identifier. A signal acquisition module 30, which is used to collect high-frequency signals according to a preset sampling period. A signal parsing and detection module 40, which is used to parse the collected high-frequency signal and detect whether the high-frequency signal carries a preset identifier; when it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is issued. The first low-frequency signal carries the first key ID. A first signal receiving module 50, which is used to control the key to be self-learned to receive the first low-frequency signal. A second signal issuing module 60, which is used to issue a third high-frequency signal. The third high-frequency signal carries the first key ID. A second signal receiving module 70, which is used to receive the third high-frequency signal. A judgment module 80, which is used to judge whether the third high-frequency signal matches the second high-frequency signal, and if so, the first key ID is stored. A storage module 90, which is used to store the first key ID when the third high-frequency signal matches the second high-frequency signal.

[0097] The technical solution of this embodiment provides a key self-learning system, which includes: an instruction issuing module for issuing a key self-learning instruction; a first signal issuing module for controlling the key to be self-learned to issue a first high-frequency signal carrying a preset identifier; a signal acquisition module for acquiring high-frequency signals according to a preset sampling period; a signal parsing and detection module for parsing the collected high-frequency signal and detecting whether the high-frequency signal carries a preset identifier; when it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is issued; wherein the first low-frequency signal carries the first key ID; a first signal receiving module for controlling the key to be self-learned to receive the first low-frequency signal; a second signal issuing module for controlling the key to be self-learned to issue a third high-frequency signal; wherein the third high-frequency signal carries the first key ID; a second signal receiving module for receiving the third high-frequency signal; a judgment module for judging whether the third high-frequency signal matches the second high-frequency signal. A storage module for storing the first key ID when the third high-frequency signal matches the second high-frequency signal. This system can effectively distinguish the high-frequency signals emitted by the key to be learned and other high-frequency interference signals, thereby reducing the impact of other interference signals on the self-learning process of the key to be learned, ensuring the smooth progress of the key self-learning process, thereby ensuring normal factory shipments and production capacity.

[0098] In some embodiments, the first signal sending module is further used to control the key to be self-learned to send a preset number of frames of the first high-frequency signal carrying a preset identifier according to a preset sending period.

[0099] In some embodiments, the preset number of frames is greater than or equal to three frames.

[0100] In some embodiments, the signal analysis and detection module is further used to analyze the high-frequency signal collected within a preset sampling period according to the first-in-first-out principle.

[0101] In some embodiments, the key self-learning system further includes: a key ID consistency judgment module, used to judge whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal; if they are consistent, the first key ID is stored.

[0102] In some embodiments, the key self-learning system also includes a process termination module, which is used to terminate the key self-learning process when no high-frequency signal is collected within a preset sampling period, or when it is detected that the collected high-frequency signal does not carry a preset identifier, or when it is determined that the third high-frequency signal does not match the second high-frequency signal, or when the first key ID carried by the first low-frequency signal is inconsistent with the second key ID carried by the first high-frequency signal.

[0103] In some embodiments, the first signal emitting module is further used to control the key to be self-learned to emit a first high-frequency signal carrying a preset identifier when the unlock button and the lock button are pressed simultaneously.

[0104] In some embodiments, the preset flag is a binary flag bit 1.

[0105] In some embodiments, the determination module is further used to determine whether the key ID carried by the third high-frequency signal is consistent with the key ID carried by the second high-frequency signal.

[0106] Correspondingly, an embodiment of the present application further provides a driving device, which includes the key self-learning system provided by any embodiment of the present application.

[0107] The driving equipment may be an engineering vehicle, a transport vehicle, etc., and may be specifically configured according to actual conditions, and no specific limitation is made herein.

[0108] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0109] The key self-learning method, system and driving device provided in the embodiments of the present application are introduced in detail above, and the principles and implementation methods of the present application are explained by using specific examples. The description of the above embodiments is only used to help understand the technical solution and core idea of ​​the present application; ordinary technicians in this field should understand that: they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some of the technical features therein with equivalents; and these modifications or replacements do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiments of the present application.

Claims

1. A key self-learning method, characterized in that: include: Issue key self-learning command; Controlling the key to be self-learned to emit a first high-frequency signal carrying a preset identifier; Collect high-frequency signals according to a preset sampling period; Analyzing the collected high-frequency signal and detecting whether the high-frequency signal carries the preset identifier; When it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted; wherein the first low-frequency signal carries the first key ID; Controlling the key to be self-learned to receive the first low-frequency signal and send a third high-frequency signal; wherein the third high-frequency signal carries the first key ID; receiving the third high frequency signal, and determining whether the third high frequency signal matches the second high frequency signal; When the third high frequency signal matches the second high frequency signal, the first key ID is stored.

2. The key self-learning method according to claim 1, characterized in that: The controlling the key to be self-learned to send out a first high-frequency signal carrying a preset identifier specifically includes: controlling the key to be self-learned to send out a preset number of frames of the first high-frequency signal carrying the preset identifier according to a preset sending cycle.

3. The key self-learning method according to claim 2, characterized in that: The preset number of frames is greater than or equal to three frames.

4. The key self-learning method according to claim 2, characterized in that: The analyzing the collected high-frequency signal specifically includes: analyzing the high-frequency signal collected within the preset sampling period according to the first-in-first-out principle.

5. The key self-learning method according to claim 1, characterized in that: After controlling the key to be self-learned to receive the first low-frequency signal, the method further includes: It is determined whether the first key ID carried by the first low-frequency signal is consistent with the second key ID carried by the first high-frequency signal; if they are consistent, the first key ID is stored.

6. The key self-learning method according to claim 5, characterized in that: Also includes: When the high-frequency signal is not collected within the preset sampling period, or the collected high-frequency signal is detected to not carry the preset identifier, or it is determined that the third high-frequency signal does not match the second high-frequency signal, or the first key ID carried by the first low-frequency signal is inconsistent with the second key ID carried by the first high-frequency signal, the key self-learning process is terminated.

7. The key self-learning method according to claim 1, characterized in that: Also includes: The key to be self-learned is controlled to emit a first high-frequency signal carrying a preset identifier when an unlocking button and a locking button are pressed simultaneously.

8. The key self-learning method according to claim 1, characterized in that: The preset identifier is a binary identifier 1.

9. The key self-learning method according to claim 1, characterized in that: The determining whether the third high-frequency signal matches the second high-frequency signal specifically includes: determining whether the key ID carried by the third high-frequency signal is consistent with the key ID carried by the second high-frequency signal.

10. A key self-learning system, characterized in that: include: A command issuing module, used to issue a key self-learning command; A first signal sending module, used for controlling the key to be self-learned to send a first high-frequency signal carrying a preset identifier; A signal acquisition module, used to acquire high-frequency signals according to a preset sampling period; A signal analysis and detection module, used to analyze the collected high-frequency signal and detect whether the high-frequency signal carries the preset identifier; when it is detected that the high-frequency signal carries the preset identifier, the collected high-frequency signal is recorded as a second high-frequency signal, the first key ID carried by the second high-frequency signal is identified, and a first low-frequency signal is emitted; wherein the first low-frequency signal carries the first key ID; A first signal receiving module, used for controlling the key to be self-learned to receive the first low-frequency signal; A second signal sending module, used to control the key to be self-learned to send a third high-frequency signal; wherein the third high-frequency signal carries the first key ID; A second signal receiving module, used for receiving the third high frequency signal; A judging module, used for judging whether the third high frequency signal matches the second high frequency signal; A storage module is used to store the first key ID when the third high-frequency signal matches the second high-frequency signal.

11. A driving device, characterized in that: It comprises the key self-learning system as claimed in claim 10.

Images