Intelligent braking methods, systems, and fishing reels

Abstract

This invention discloses an intelligent braking method, system, and fishing reel. [Solution] The method includes the steps of: collecting real-time casting data during casting of a fishing reel; recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode; and calculating the current brake speed step required for the current brake mode based on the real-time casting data and outputting the corresponding real-time braking force. The present invention confirms the current brake speed step and real-time braking force required for the current brake mode, eliminating the need for the user to manually adjust the brake mode and brake speed step, and the entire braking process is completed automatically, resulting in a better user experience.

Description

[Technical Field]

[0001] The present invention relates to the field of fishing data processing technology, and more particularly to intelligent braking methods, systems, and fishing reels. [Background technology]

[0002] Existing fishing reel braking systems calculate braking force based on three factors: casting type, braking speed stage, and braking stage. Different casting types have different braking speed stages, and for each speed stage, different braking force magnitudes are pre-set and matched according to the braking stage.

[0003] Such braking systems require manual adjustment of the braking mode and braking speed, are not yet intelligent, and further impact the user experience. [Overview of the Initiative] [Problems that the invention aims to solve]

[0004] The objective of this invention is to provide an intelligent braking method, system, and fishing reel, thereby solving the problem of poor user experience that arises from the need to manually adjust the braking mode and braking speed during casting with existing fishing reels. [Means for solving the problem]

[0005] According to a first aspect, an embodiment of the present invention provides an intelligent braking method applicable to a fishing reel. Steps to collect real-time casting data during fishing reel casting, The steps include recognizing the current casting posture and / or current bait type based on real-time casting data, and confirming the current brake mode, Calculating the current brake speed stage required in the current brake mode based on the real-time casting data and outputting the corresponding real-time braking force.

[0006] According to a second aspect, an embodiment of the present invention provides an intelligent braking system applied to a fishing reel. A collection unit for collecting real-time casting data during casting of the fishing reel. A brake mode confirmation unit for obtaining the current casting posture and / or the current bait type based on the real-time casting data and confirming the current brake mode. A braking force calculation unit for calculating the current brake speed stage required in the current brake mode based on the real-time casting data and outputting the corresponding real-time braking force.

[0007] According to a third aspect, an embodiment of the present invention provides a fishing reel including the intelligent braking system described above.

Advantages of the Invention

[0008] The beneficial effects of the embodiments of the present invention are as follows. During the casting of the fishing reel, based on the collected real-time casting data, first recognize the current casting posture and the current bait type, confirm the current brake mode, and then continue to confirm the current brake speed stage and the real-time braking force required in the current brake mode based on the real-time casting data. The user does not need to manually adjust the brake mode and the brake speed stage, and the entire braking process is automatically completed, providing a better user experience.

[0009] Based on the brake mode and the automatic adjustment function of the brake speed level, the fishing reel can be designed in different styles with or without a rotary knob, increasing more diverse options for the product. The style without a rotary knob can make the appearance of the fishing reel more concise. On the other hand, the style with a rotary knob retains the habit of adjusting the speed level by turning the knob of the traditional fishing reel, meeting the needs of different users.

Brief Description of the Drawings

[0010] In order to more clearly explain the technical solutions of the embodiments of the present invention, the drawings required for use in the description of the embodiments are briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention, and those skilled in the art can obtain other drawings based on these drawings without creative efforts.

[0011] [Figure 1] It is a schematic flowchart of the intelligent braking method provided in the embodiments of the present invention. [Figure 2] It is a schematic diagram of the sub-flow of step S101 provided in the embodiments of the present invention. [Figure 3] [[ID=十八]]It is a schematic diagram of the sub-flow of step S102 provided in the embodiments of the present invention. [Figure 4] It is a schematic diagram of the sub-flow of step S103 provided in the embodiments of the present invention. [Figure 5] It is a schematic diagram of the sub-flow of step S403 provided in the embodiments of the present invention. [Figure 6] It is a schematic flowchart of the flight stage division method provided in the embodiments of the present invention. [Figure 7] It is a schematic block diagram of the intelligent braking system provided in the embodiments of the present invention. [Figure 8] It is an exemplary diagram of the real-time rotation speed and the corresponding real-time rotation speed change rate in one casting process provided in the embodiments of the present invention.

Modes for Carrying Out the Invention

[0012] The technical concepts in embodiments of the present invention will be described clearly and completely below with reference to the drawings of embodiments of the present invention, but it is clear that the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments made by those skilled in the art without creative effort based on embodiments of the present invention are within the scope of protection of the present invention.

[0013] When used herein and in the appended claims, the terms “composes” and “includes” indicate the presence of the described features, wholes, steps, operations, elements and / or components, but should be understood not to exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or sets thereof.

[0014] It should also be understood that the terms used in this specification of the present invention are for the sole purpose of describing specific embodiments and are not intended to limit the invention. Where used in this specification and the appended claims, the singular forms "one," "one," and "the" are intended to include the plural form unless the context clearly indicates otherwise.

[0015] As used in the specification and appended claims of the present invention, the term "and / or" refers to any combination of one or more of the related enumerated items, and all possible combinations, and should further be understood to include these combinations.

[0016] Referring to Figure 1, Figure 1 is a schematic flowchart of the intelligent braking method provided in an embodiment of the present invention. As shown in Figure 1, the method includes steps S101 to S103.

[0017] In S101, real-time casting data is collected during casting with a fishing reel. In this step, various sensors can be built into the fishing reel to collect real-time casting data during casting.

[0018] In S102, the current casting posture and / or current bait type are recognized based on real-time casting data, and the current brake mode is confirmed. In this step, different casting postures and bait types correspond to different braking force modes, thereby achieving intelligent control of the fishing reel's braking force.

[0019] In S103, based on real-time casting data, the current brake speed stage required for the current brake mode is calculated, and the corresponding real-time braking force is output. In this step, after confirming the current brake mode, the system further determines the required current brake speed stage using real-time casting data. Then, using the real-time casting data at the current brake speed stage, it automatically calculates the corresponding real-time braking force and performs real-time brake control. Based on steps S101 to S103, when casting with a fishing reel, the system first recognizes the current casting posture and bait type based on the collected real-time casting data, then checks the current brake mode, and then, based on the real-time casting data, confirms the required current brake speed and real-time braking force in the current brake mode. The user does not need to manually adjust the brake mode or brake speed, and the entire braking process is completed automatically, resulting in a better user experience.

[0020] Based on the automatic adjustment function of brake mode and brake speed stages, fishing reels can be designed in different styles, with or without a rotary knob, increasing the variety of choices available to the product. The style without a rotary knob can give the fishing reel a simpler appearance, while the style with a rotary knob retains the traditional rotary knob speed stage adjustment operation of fishing reels, meeting the needs of different users.

[0021] In this embodiment, the real-time braking force during casting can be characterized in different ways, including using the duty cycle. A larger duty cycle results in a larger real-time braking force, and all real-time braking forces described later can refer to the duty cycle. However, in other embodiments, other data indicators may be used to characterize the braking force, and such substitutions or modifications clearly fall within the scope of protection of this application.

[0022] In one embodiment, as shown in Figure 2, step S101 is performed as follows: S201 collects 3-axis angular acceleration data during casting using a motion sensor installed on the fishing reel, and obtains real-time motion state data. S202 includes collecting the rotation speed of the line cup during casting of the fishing reel using a speed detection module installed on the fishing reel, and obtaining real-time rotation data.

[0023] In this embodiment, step S201 involves collecting 3-axis angular acceleration data during casting of a fishing reel using a motion sensor, and extracting real-time motion state data from the 3-axis angular acceleration data, where the motion state data includes positive angle change, negative angle change, maximum angular acceleration and minimum angular acceleration of the y-axis, and positive angle change, negative angle change, maximum angular acceleration and minimum angular acceleration of the z-axis.

[0024] In this embodiment, step S202 involves detecting the rotation speed of the line cup using a speed detection module installed on the fishing reel, and obtaining real-time rotation data. Specifically, during casting, a magnet located on the line cup rotates with the line cup, and the speed detection module detects the rotation data of the magnet. One square wave periodic pulse signal is generated for each rotation, and the square wave periodic pulse signal changes from high to low and then to high. When the signal changes to low, interrupt 1 is triggered and timing is started by the timer, and when the signal changes from low to high, interrupt 2 is triggered to complete one timing cycle, thus obtaining real-time rotation data.

[0025] Below are three examples of how to check the current brake mode in step S102.

[0026] (Example 1) The step of matching the brake mode based on the casting posture specifically includes the steps of inputting real-time motion state data into a posture classification model to predict the casting posture and outputting the current casting posture, and matching the brake mode corresponding to the current casting posture in a pre-set first brake mode table as the current brake mode.

[0027] In this embodiment 1, the posture classification model can be an XGBoost model. The XGBoost model's model parameters are trained using a historical motion state dataset of historical casting. By inputting real-time motion state data of the fishing reel during the current casting into the trained XGBoost model, the current casting posture can be output. Here, the casting posture may include six types of postures: over-the-shoulder throw, side throw, swing throw, long throw, skipping over the water, and projectile throw.

[0028] In this embodiment 1, the first brake mode table is shown in Table 1 below.

[0029] [Table 1]

[0030] Based on this, the current casting posture can be output by the posture classification model, and then the corresponding current braking mode can be checked from Table 1.

[0031] (Example 2) The step of matching the brake mode based on the feed type specifically includes the steps of inputting real-time rotation data into a feed type classification model to predict the feed type and outputting the current feed type, and matching the brake mode corresponding to the current feed type in a pre-configured second brake mode table as the current brake mode.

[0032] In this embodiment 2, the input to the feed type classification model is rotation data in the upward phase of real-time rotation data, and mainly includes the 11 features shown in Table 2 below.

[0033] [Table 2]

[0034] By inputting the characteristics from Table 2 into the feed type classification model and performing feed type prediction, the current feed type can be output. Subsequently, the corresponding current brake mode can be confirmed based on the second brake mode table (Table 3) below.

[0035] [Table 3]

[0036] (Example 3) Referring to Figure 3, the step of matching the brake mode based on the casting posture and bait type is, specifically, S301 inputs real-time motion state data into a posture classification model to predict casting posture and outputs the current casting posture. S302 inputs real-time rotation data into a feed type classification model to predict the feed type and outputs the current feed type. This includes S303, which obtains the current brake mode based on the current casting posture and current bait type.

[0037] In this embodiment, the posture classification model in step S301 is the same as in Embodiment 1, and in both cases, the xgboost model can be selected, and similarly, six types of postures can be output: over-the-shoulder throw, side throw, swing throw, long throw, skipping throw, and projectile throw.

[0038] In this embodiment, the bait type classification model in step S302 is mainly used to predict the bait type for two types of casting postures: over-the-shoulder casting and side casting. Specifically, when the casting posture is over-the-shoulder casting or side casting, the rotation data in the rising phase of the real-time rotation data (i.e., the 11 features in Table 2 above) is input to the bait type classification model to predict the bait type and output the current bait type. Here, the bait types corresponding to over-the-shoulder casting and side casting include three types: general-purpose bait, wind-resistant bait, and light bait. On the other hand, for the four types of casting postures, swing casting, long-distance casting, skipping the water, and projectile casting, the corresponding brake mode can be directly matched without recognizing the fish bait type. Specifically, the third brake mode table shown in Table 4 below can be referred to.

[0039] [Table 4]

[0040] Based on this, after confirming the current casting posture and bait type corresponding to the posture classification model and bait type classification model, the corresponding current braking mode can be confirmed from Table 4.

[0041] In one embodiment, as shown in Figure 4, step S103 is performed as follows: S401 inputs rotational speed data in the rising phase of real-time rotational data into a speed stage linear model corresponding to the current brake mode, performs fitting processing, and outputs the current brake speed stage required for the current brake mode. S402 obtains the current preset braking force coefficient corresponding to the current braking speed stage in the current braking mode, The system includes S403, which calculates the braking force based on the currently set brake force coefficient and real-time rotation data, and outputs the corresponding real-time braking force.

[0042] In step S401 of this embodiment, one speed stage linear model corresponds to each brake mode. Taking Embodiment 3, which checks the current brake mode as described above, as an example, seven speed stage linear models correspond to seven brake modes. By inputting the features of the current real-time rotation data corresponding to Table 1 above into the corresponding speed stage linear model and performing fitting processing, it is possible to output the current brake speed stage required for the current brake mode.

[0043] In step S402 of this embodiment, preset brake force coefficient data corresponding to each brake speed stage in each brake mode is pre-constructed, and after confirming the current brake mode and current brake speed stage, the corresponding preset brake force coefficient can be retrieved.

[0044] In step S403 of this embodiment, based on the preset braking force coefficient confirmed in step S402, the appropriate real-time braking force is automatically calculated after processing with a software algorithm using the preset braking force coefficient and real-time rotation data, thereby enabling brake control during the casting process of the fishing reel.

[0045] In one embodiment, as shown in Figure 5, step S403 is: In the upward casting phase, the S501 outputs the real-time braking force as a fixed braking force, and the S501 has a selectable range for the brake duty ratio of the fixed braking force of [0%, 10%]. During the descent phase of casting, the system includes S502, which inputs the current preset braking force coefficient and real-time rotation data into a braking force algorithm to perform real-time braking force calculations and outputs a real-time braking force corresponding to the descent phase.

[0046] In this embodiment, the casting process of a fishing reel has different flight stages (i.e., an ascending stage and a descending stage), and it is necessary to match the corresponding braking force for each flight stage. By outputting different braking forces for each flight stage, the rotation speed of the line cup of the fishing reel is controlled, thereby providing brake control for the casting process of the fishing reel.

[0047] Specifically, as shown in Figure 6, the flight phases of casting a fishing reel can be divided using steps S601 to S605.

[0048] In S601, the real-time rotational speed and the rate of change of the real-time rotational speed are acquired from the real-time rotational data. In S602, the casting stage from the start of casting to the maximum rotational speed change rate is set to the acceleration ascent stage in the ascent phase. In S603, the casting stage from the rate of change of the maximum rotational speed to the maximum rotational speed is set to the deceleration-up stage in the upward stage. In S604, the casting stage from the maximum rotational speed to the predicted casting end rotational speed is set to the sustained descent stage in the descent stage. In S605, the tail-end flight phase of the descent is set from the predicted casting end rotation speed to the actual casting end time.

[0049] Based on the process of steps S601 to S605, a single casting data set illustrated in Figure 8 can be combined to facilitate understanding of the different flight stages of this embodiment. The climb stage may include an accelerating climb stage T1 and a decelerating climb stage T2, and the descent stage may include a sustained descent stage T3 and tail-end flight T4. During the casting ascent phase, the inertial force of throwing the bait rotates the line cup of the fishing reel, releasing the line. The rotation speed of the line cup in this phase follows the speed at which the bait is thrown. Therefore, the real-time rotation data from phase T1 to T2 (primarily referring to the real-time rotation speed of the fishing reel) first accelerates upward, then decelerates upward, until it reaches the maximum rotation speed of the current cast (i.e., the rotation speed change rate is zero). Then it enters the sustained descent phase T3, during which the inertial force of throwing the bait continuously decreases. To avoid the fishing reel's rotation speed being greater than the line release speed and causing line tangling, a constant braking force needs to be applied to the line cup of the fishing reel. By applying this braking force, the fishing reel continues to descend to the casting end rotation speed predicted from the maximum rotation speed. Finally, it enters the tail-end flight phase T4, completing the recognition and distinction of the casting phase until the actual casting is completed.

[0050] Based on the four distinct stages, the acceleration ascent stage T1 and the deceleration ascent stage T2 do not require an excessive increase in braking force on the fishing reel's line cup, so the braking force corresponding to the ascent stage can be set to a fixed braking force, for example, a fixed braking force can be selected from a range of [0%, 10%] for the duty cycle of the braking force. Preferably, the fixed braking force corresponding to the ascent stage can be set to 0% so as not to interfere with the calculation of subsequent braking speed stages. The descent stage T3 and tail-end flight T4 require increasing the braking force on the fishing reel's line cup in real time to achieve intelligent brake control, and specifically refer to the following two embodiments for calculating the real-time braking force.

[0051] Furthermore, the predicted casting end rotation speed in step S604 is obtained by a pre-trained casting model, with one casting model corresponding to each casting posture. The specific method for calculating the predicted casting end rotation speed is as follows: A linear model is pre-trained based on casting force strength, casting line payout angle, and maximum rotation speed of the fishing reel. The model equation for the linear model is throw_end_speed = throw_force*a + throw_angle*b + max_speed*c + b. Here, `throw_end_speed` represents the casting end rotation speed for this casting prediction.

[0052] Throw_force represents the maximum value of the 3-axis acceleration calculated by the motion sensor during actual casting, i.e., it represents the casting force intensity. Throw_angle represents the angle between the fishing rod and the ground at the start of line release during casting, and can be calculated from motion sensor data. Max_speed represents the maximum rotational speed that occurs during actual casting.

[0053] Based on the casting model obtained after training, using Figure 8 as an example, the casting in this instance yields a casting completion rotation speed of 150 as predicted by the above formula. However, in actual casting, due to various factors, the fishing reel is still paying out line, and the subsequent stage is the T4 stage, also known as the tail flight stage.

[0054] Below, we introduce two embodiments for calculating the real-time braking force during the descent phase in step S502.

[0055] (Example 1) In one embodiment, step S502 is, The following steps include calculating the real-time braking force G descent during the descent phase of the fishing reel using the following formula: G 下降 = v / max(v) * F i + K, G 下降 ∈ (H i , H j ) where Here, v represents the real-time rotation speed during the descending stage of the fishing reel, max(v) represents the maximum rotation speed of the current casting, F i represents the descending coefficient corresponding to the current brake speed stage of the current brake mode, K represents the value for preventing line entanglement protection, H i and H j represent the lower limit and upper limit of the braking force corresponding to the current brake speed stage of the current brake mode.

[0056] In this embodiment, during the descending stage of casting, the braking force coefficient preset based on the current brake mode and the current brake speed stage is confirmed, and the preset braking force coefficient (i.e., F i , K, H i and H j [[ID=二十九]]) and the real-time rotation data (i.e., v and max(v)) are substituted into the above formula to calculate the braking force, so that the real-time braking force G 下降 corresponding to the descending stage during casting can be output.

[0057] (Embodiment 2) In one embodiment, step S502 includes the step of calculating the decrease in the real-time braking force G during the descending stage of the fishing reel using the following formula G 下降 = v * v i + a * a i + v / max(v) * F i + K, G 下降 ∈ (H i , H j ) where Here, v represents the real-time rotation speed during the descending stage of the fishing reel, v i ​i represents the frequency change coefficient corresponding to the current braking speed stage in the current braking mode, max(v) represents the maximum rotational speed of this casting, F i represents the reduction coefficient corresponding to the current braking speed stage in the current braking mode, K represents the thread entanglement prevention protection value, and H i and H j These represent the lower and upper limits of braking force, respectively, corresponding to the current braking speed stage in the current braking mode.

[0058] In this embodiment, during the descent phase of casting, the preset brake force coefficient is checked based on the current brake mode and current brake speed stage, and the preset brake force coefficient (i.e., v i a i F i , K, H i and H j By substituting the above formula with the real-time rotation data (i.e., v, a, and max(v)) and the braking force, the real-time braking force G corresponding to the descent phase during casting can be calculated. 下降 It can output.

[0059] In the real-time braking force algorithms of Examples 1 and 2 described above, there are different uses in different situations. For example, in the wind resistance braking mode corresponding to wind resistance bait, the change in rotational speed of the fishing reel is more pronounced, and the calculation can be performed using the algorithm of Example 2, resulting in a better braking effect. Conversely, in braking modes where the rotational speed of the fishing reel is relatively slow, the real-time braking force can be calculated by applying the algorithm of Example 1, resulting in a better braking effect.

[0060] Based on the algorithms of Examples 1 and 2 described above, the real-time braking force of the fishing reel during the casting descent phase changes linearly, solving the problem of abrupt changes in braking force during the casting process and making casting smoother.

[0061] Embodiments of the present invention further provide an intelligent braking system which is used to perform any embodiment of the intelligent braking method described above. Specifically, referring to Figure 7, Figure 7 is a schematic block diagram of the intelligent braking system provided in an embodiment of the present invention.

[0062] As shown in Figure 7, the intelligent braking system 700 includes a data collection unit 701, a brake mode confirmation unit 702, and a brake force calculation unit 703.

[0063] The collection unit 701 is used to collect real-time casting data during fishing reel casting. The brake mode confirmation unit 702 is used to acquire the current casting posture and / or current bait type based on real-time casting data, and to confirm the current brake mode. The brake force calculation unit 703 is used to calculate the current brake speed stage required for the current brake mode based on real-time casting data, and to output the corresponding real-time brake force.

[0064] This system, when casting a fishing reel, first recognizes the current casting posture and bait type based on collected real-time casting data, then checks the current brake mode, and then, based on the real-time casting data, determines the required current brake speed and real-time braking force. The magnitude of the real-time braking force changes linearly during the casting process of the fishing reel, solving the problem of sudden changes in braking force and making casting smoother. The user does not need to manually adjust the brake mode and brake speed, and the entire braking process is completed automatically, resulting in a better user experience.

[0065] Based on the automatic adjustment function of brake mode and brake speed stages, fishing reels can be designed in different styles, with or without a rotary knob, increasing the variety of choices available to the product. The style without a rotary knob can give the fishing reel a simpler appearance, while the style with a rotary knob retains the traditional rotary knob speed stage adjustment operation of fishing reels, meeting the needs of different users.

[0066] Embodiments of the present invention further provide a fishing reel that includes the intelligent braking system described above.

[0067] Those skilled in the art will understand that, for the sake of convenience and brevity of explanation, the specific operating processes of the systems and units described above may be described by referring to the corresponding processes in the embodiments of the above method, and that such descriptions are omitted here.

[0068] The above description is merely a specific embodiment of the present invention, and the scope of protection of the present invention is not limited thereto. Those skilled in the art can easily envision various equivalent modifications and substitutions within the technical scope of the present invention, and these modifications and substitutions are included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined solely by the scope of protection of the claims.

[0069] (Note) (Note 1) An intelligent braking method applied to a fishing reel, Steps to collect real-time casting data during fishing reel casting, The steps include recognizing the current casting posture and / or current bait type based on real-time casting data, and confirming the current brake mode, An intelligent braking method characterized by including the step of calculating the current braking speed stage required in the current braking mode based on real-time casting data, and outputting the corresponding real-time braking force.

[0070] (Note 2) The step of collecting real-time casting data during casting with a fishing reel is, The process involves collecting 3-axis angular acceleration data during casting using a motion sensor installed on the fishing reel, thereby obtaining real-time motion state data. The intelligent braking method according to Appendix 1, characterized by comprising the step of collecting the rotational speed of the line cup of the fishing reel during casting using a speed detection module installed on the fishing reel, and obtaining real-time rotational data.

[0071] (Note 3) The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The process involves inputting real-time motion state data into a posture classification model to predict the casting posture and outputting the current casting posture, and The intelligent braking method according to Appendix 2, characterized by including the step of matching the brake mode corresponding to the current casting posture in a pre-set first brake mode table as the current brake mode.

[0072] (Note 4) The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The steps include inputting real-time rotation data into a feed type classification model to predict the feed type and outputting the current feed type, The intelligent braking method according to Appendix 2, characterized by including the step of matching the brake mode corresponding to the current feed type in a pre-set second brake mode table as the current brake mode.

[0073] (Note 5) The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The process involves inputting real-time motion state data into a posture classification model to predict the casting posture and outputting the current casting posture, and The steps include inputting real-time rotation data into a feed type classification model to predict the feed type and outputting the current feed type, The intelligent braking method according to Appendix 2, characterized by including the step of matching a corresponding brake mode as the current brake mode in a third brake mode table that is set in advance based on the current casting posture and the current bait type.

[0074] (Note 6) The step of calculating the current brake speed stage required in the current brake mode based on real-time casting data and outputting the corresponding real-time brake force is as follows: The process involves inputting rotational speed data in the rising phase from real-time rotational data into a speed stage linear model corresponding to the current brake mode, performing a fitting process, and outputting the current brake speed stage required for the current brake mode. The steps include obtaining the current preset braking force coefficient corresponding to the current braking speed stage in the current braking mode, The intelligent braking method according to Appendix 2, characterized by including the step of performing a brake force calculation based on the current preset brake force coefficient and real-time rotation data, and outputting the corresponding real-time brake force.

[0075] (Note 7) The step of calculating the braking force based on the currently set brake force coefficient and real-time rotation data, and outputting the corresponding real-time braking force, In the casting ascent phase, the step is to output the real-time braking force as a fixed braking force, wherein the selection range for the brake duty ratio of the fixed braking force is [0%, 10%]. The intelligent braking method according to Appendix 6, characterized in that, during the casting descent phase, the current preset braking force coefficient and real-time rotation data are input to a braking force algorithm to perform real-time braking force calculation and output a real-time braking force corresponding to the descent phase.

[0076] (Note 8) In the descent phase of casting, the current preset braking force coefficient and real-time rotation data are input to the braking force algorithm to perform real-time braking force calculations and output the real-time braking force corresponding to the descent phase. The real-time braking force G during the downward phase of the fishing reel is given by the following formula. 下降 This includes the step of calculating, G 下降 =v / max(v)*F i +K, G 下降 ∈(H i ,H j ) and Here, v represents the real-time rotation speed during the descent phase of the fishing reel, max(v) represents the maximum rotation speed of this cast, and F i represents the reduction coefficient corresponding to the current braking speed stage in the current braking mode, K represents the thread entanglement prevention protection value, and H i and H j The intelligent braking method according to Appendix 7, characterized in that the values ​​represent the lower limit and upper limit of the braking force corresponding to the current braking speed stage of the current braking mode, respectively.

[0077] (Note 9) In the descent phase of casting, the current preset braking force coefficient and real-time rotation data are input to the braking force algorithm to perform real-time braking force calculations and output the real-time braking force corresponding to the descent phase. The real-time braking force G during the downward phase of the fishing reel is given by the following formula. 下降 This includes the step of calculating, G 下降 =v*v i +a*a i +v / max(v)*F i +K, G 下降 ∈(H i ,H j ) and Here, v represents the real-time rotation speed during the descent phase of the fishing reel, i represents the frequency coefficient corresponding to the current braking speed stage in the current braking mode, and a represents the real-time rate of change of rotational speed during the downward phase of the fishing reel. i represents the frequency change coefficient corresponding to the current braking speed stage in the current braking mode, max(v) represents the maximum rotational speed of this casting, F i represents the reduction coefficient corresponding to the current braking speed stage in the current braking mode, K represents the thread entanglement prevention protection value, and H i and H j The intelligent braking method according to Appendix 7, characterized in that the values ​​represent the lower limit and upper limit of the braking force corresponding to the current braking speed stage of the current braking mode, respectively.

[0078] (Note 10) Steps include acquiring the real-time rotation speed and the real-time rotation speed change rate from the real-time rotation data, The steps include setting the casting stage from the start of casting to the maximum rotational speed change rate to the acceleration phase in the upward phase, The steps include setting the casting stage from the maximum rotational speed change rate to the maximum rotational speed to the deceleration upward stage in the upward stage, The steps include setting the casting stage from the maximum rotational speed to the predicted casting end rotational speed to the sustained descent stage in the descent stage, The intelligent braking method according to Appendix 2, further comprising the step of setting the time from the predicted casting end rotation speed to the actual casting end time to the tail-end flight phase in the descent phase.

[0079] (Note 11) An intelligent braking system applied to fishing reels, A data collection unit for collecting real-time casting data during fishing reel casting, A brake mode confirmation unit that acquires the current casting posture and / or current bait type based on real-time casting data, and confirms the current brake mode, An intelligent braking system characterized by including a braking force calculation unit for calculating the current braking speed stage required in the current braking mode based on real-time casting data, and for outputting the corresponding real-time braking force.

[0080] (Note 12) A fishing reel characterized by including the intelligent braking system described in Appendix 11.

Claims

1. An intelligent braking method applied to a fishing reel, Steps to collect real-time casting data during fishing reel casting, The steps include recognizing the current casting posture and / or current bait type based on real-time casting data, and confirming the current brake mode, An intelligent braking method characterized by including the step of calculating the current braking speed stage required in the current braking mode based on real-time casting data, and outputting the corresponding real-time braking force.

2. The step of collecting real-time casting data during casting with a fishing reel is, The process involves collecting 3-axis angular acceleration data during casting using a motion sensor installed on the fishing reel, thereby obtaining real-time motion state data. The intelligent braking method according to claim 1, comprising the steps of: collecting the rotational speed of the line cup of the fishing reel during casting using a speed detection module installed on the fishing reel, and obtaining real-time rotational data.

3. The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The process involves inputting real-time motion state data into a posture classification model to predict the casting posture and outputting the current casting posture, and The intelligent braking method according to claim 2, characterized in that it includes the step of matching a brake mode corresponding to the current casting posture in a pre-set first brake mode table as the current brake mode.

4. The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The steps include inputting real-time rotation data into a feed type classification model to predict the feed type and outputting the current feed type, The intelligent braking method according to claim 2, characterized in that it includes the step of matching the brake mode corresponding to the current feed type in a pre-set second brake mode table as the current brake mode.

5. The step of recognizing the current casting posture and / or current bait type based on the real-time casting data and confirming the current brake mode is as follows: The process involves inputting real-time motion state data into a posture classification model to predict the casting posture and outputting the current casting posture, and The steps include inputting real-time rotation data into a feed type classification model to predict the feed type and outputting the current feed type, The intelligent braking method according to claim 2, characterized by comprising the step of matching a corresponding brake mode as the current brake mode in a third brake mode table that is set in advance based on the current casting posture and the current bait type.

6. The step of calculating the current brake speed stage required in the current brake mode based on real-time casting data and outputting the corresponding real-time brake force is as follows: The process involves inputting rotational speed data in the rising phase from real-time rotational data into a speed stage linear model corresponding to the current brake mode, performing a fitting process, and outputting the current brake speed stage required for the current brake mode. The steps include obtaining the current preset braking force coefficient corresponding to the current braking speed stage in the current braking mode, The intelligent braking method according to claim 2, characterized by comprising the step of performing a brake force calculation based on the current preset brake force coefficient and real-time rotation data, and outputting the corresponding real-time brake force.

7. The step of calculating the braking force based on the currently set brake force coefficient and real-time rotation data, and outputting the corresponding real-time braking force, In the casting ascent phase, the step is to output the real-time braking force as a fixed braking force, wherein the selection range for the brake duty cycle of the fixed braking force is [0%, 10%]. The intelligent braking method according to claim 6, characterized in that, during the casting descent phase, the current preset braking force coefficient and real-time rotation data are input to a braking force algorithm to perform a real-time braking force calculation and output a real-time braking force corresponding to the descent phase.

8. In the descent phase of casting, the current preset braking force coefficient and real-time rotation data are input to the braking force algorithm to perform real-time braking force calculations and output the real-time braking force corresponding to the descent phase. The real-time braking force G during the downward phase of the fishing reel is given by the following formula. 下降 This includes the step of calculating, G 下降 =v / max(v)*F ｉ +K, G 下降 ∈(H ｉ , H ｊ ) and Here, v represents the real-time rotation speed during the descending stage of the fishing reel, max(v) represents the maximum rotation speed of the current casting, and F ｉ represents the descending coefficient corresponding to the current brake speed stage of the current brake mode, K represents the value for preventing line entanglement protection, and H ｉ and H ｊ represent the lower limit value and upper limit value of the braking force corresponding to the current brake speed stage of the current brake mode, respectively. The intelligent braking method according to claim 7, characterized in that.

9. In the descent phase of casting, the current preset braking force coefficient and real-time rotation data are input to the braking force algorithm to perform real-time braking force calculations and output the real-time braking force corresponding to the descent phase. The real-time braking force G during the downward phase of the fishing reel is given by the following formula. 下降 This includes the step of calculating, G 下降 =v*v ｉ +a*a ｉ +v / max(v)*F ｉ +K, G 下降 ∈(H ｉ , H ｊ ) and Here, v represents the real-time rotation speed during the descent phase of the fishing reel, ｉ represents the frequency coefficient corresponding to the current braking speed stage in the current braking mode, and a represents the real-time rotational speed change rate during the downward phase of the fishing reel. ｉ represents the frequency change coefficient corresponding to the current braking speed stage in the current braking mode, max(v) represents the maximum rotational speed of this casting, F ｉ represents the reduction coefficient corresponding to the current braking speed stage in the current braking mode, K represents the thread entanglement prevention protection value, and H ｉ and H ｊ The intelligent braking method according to claim 7, characterized in that the values ​​represent the lower limit and upper limit of the braking force corresponding to the current braking speed stage of the current braking mode, respectively.

10. Steps include acquiring the real-time rotation speed and the real-time rotation speed change rate from the real-time rotation data, The steps include setting the casting stage from the start of casting to the maximum rotational speed change rate to the acceleration phase in the upward phase, The steps include setting the casting stage from the maximum rotational speed change rate to the maximum rotational speed to the deceleration upward stage in the upward stage, The steps include setting the casting stage from the maximum rotational speed to the predicted casting end rotational speed to the sustained descent stage in the descent stage, The intelligent braking method according to claim 2, further comprising the step of setting the actual end of casting time from the predicted casting end rotation speed to the tail-end flight phase in the descent phase.

11. An intelligent braking system applied to fishing reels, A data collection unit for collecting real-time casting data during fishing reel casting, A brake mode confirmation unit that acquires the current casting posture and / or current bait type based on real-time casting data, and confirms the current brake mode, An intelligent braking system characterized by including a braking force calculation unit for calculating the current braking speed stage required in the current braking mode based on real-time casting data, and for outputting the corresponding real-time braking force.

12. A fishing reel characterized by including the intelligent braking system described in claim 11.

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