201247480 六、發明說明： 【發明所屬之技術領域】 本發明係與自行車有關，特別是指一種具有學習功能 的自行車變速控制系統。 【先前技術】 目前的自行車變速控制系統，通常是依據自行車的踩 踏狀況、車輪速度等資訊，以一微電腦來來進行換檔與否 的判斷，並進行換檔動作的控制。 然而’前述之自行車變速控制系統，大多數並不具有 予驾使用者騎乘狀態的能力，而是使用出廠預設值來做為 換槽條件’出廠預設值通常是廠商依據大多數人的生理數 值平均之後所建立的，主要適用於一般使用者。目前已知 的換檔條件通常是以車速對應檀位來做為換槽條件，也有 些廠商的出廠預設值是以車速再對應踩踏力量（踩踏曲 柄之扭力）來做為換檔條件。此種方式並沒有針對各個使用 #的生理狀況來進行個人化的調整，僅是讓使用者去適應 廠商所建立的換檔條件，在設定上仍有改善空間。 【發明内容】 本發明之主要目的在於提供一種具有學習功能的自行 k速控㈣統’其可學習使用者的騎乘狀態並轉為換樓 條件，進而達到使換檔條件個人化的功效。 為了達成前述目的，依據本發明所提供之一種具有學 201247480 習功能的自行車變速控制系統，係設於一自行車上，該自 行車具有一變速器，該具有學習功能的自行車變速控制系 統包含有：一微電腦，其内儲存有一變速判斷準則；一學 習指令輸入機制(means)，用以供使用者操作而對該微電腦 輸入一訊號，進而控制該微電腦進入學習模式；一換檔控 制驅動器，電性連接於該微電腦，且連接於該變速器λ•並 爻该微電腦控制藉以驅動該變速器進行變速；一檔位輸入 機制，用以將檔位訊息輸入至該微電腦；以及至少一種感！ 測器’ 自行車的預定位置且電性連接於該微電 腦，用以偵測車輪速度、車輪加速度、踩踏速度、踩踏加 速度、踩踏力量、生理狀態之中的至少一種而得到至少一 種偵龜號’並傳送至該微電腦，該微電腦並且依據該至 少一種制信號來產生出至少一種偵測結果；在騎乘的過 ♦中使帛者藉由4學習指令輸人機制來控制該微電腦進 入子習模歧’該微電腦即獨的記錄該至少—種偵測結 龄t所對應的檔位訊息，記錄的動作係在該微電腦判 微心^1止學習條件時停止，而結束學f模式；接著該 微電知依據該些债測結果其所對應的檔位訊息 =檔位所對應的該㈣測結果的一平均值以及標準差，並 現行的變速轉職綱她輪 4 201247480 驅動器進行變速。藉此’本系統可學習使用者的騎乘狀態 並轉為換檔條件，進而達到使換檔條件個人化的功效。 • * · · 【實施方式】_ " v 為了詳細說明本發明之技術特點，茲舉以下之較佳實 施例並配合_式說明如後，;其+ 4 如第一圖至第三圖所示’本發明第一較佳實施例所提 供之一種具有學習功能的自行車變速控制系統10,係設於 一自行車90上，該自行車90具有一變速器91，該具有學 習功能的自行車變速控制系統10主要由一微電腦U、一 學習指令輸入機制13、一換檔控制驅動器15、一檔位輸入 機制17以及至少一種感測器19所組成，其中： 該微電腦11，其内儲存有一變速判斷準則12。 δ玄學習指令輸入機制13，用以供使用者操作而對該微 電腦11輸入一訊號’進而控制該微電腦11進入學習模式。 於本第一實施例中，該學習指令輸入機制13係為一按鍵動 作，其係以一按鍵14設於該自行車90上且電性連接於該 微電腦11，而使用者藉由按壓該按鍵14來產生按鍵動作。 s亥換槽控制驅動器15 ’電性連接於該微電腦11，且連 接於該變速器91，並受該微電腦11控制藉以驅動該變速 器91進行變速。 該檔位輸入機制17’用以將檔位訊息輪入至該微電腦 11。於本第一實施例中，該檔位輸入機制17係指該變速器 91電性連接於該微電腦11，而以該變速器91直接將檔位 201247480 訊息傳送至該微電腦11。 該至少一種感測器19 ’於本第一實施例中係以一種感 測器19為例，設置於該自行車9〇的預定位置且電性連接 於該微電腦11，用以偵測車輪速度、車輪加速度、踩踏速 度、踩踏加速度、踩踏力量、生理狀態之中的一種’於本 第一實施例中係以偵測踩踏速度為例。偵測後得到的偵測 信號係傳送至該微電腦11，該微電腦1丨依據此偵測信號 來產生出對應於踩踏速度的一個偵測結果。 在騎乘的過程中，使用者藉由該學習指令輸入機制13 來控制該微電腦11進入學習模式，之後，該微電腦丨丨即 不斷的記錄該偵測結果以及其所對應的檔位訊息，記錄的 動作係在該微電腦11判斷符合一停止學習條件時停止，而 結束學習模式。接著該微電腦u依據該些偵測結果其所對 應的檔位訊息，計算出各個檔位所對應的該些偵測結果的 -平均值w及標準差CJ，並進而決定各频位所對應的 该些偵測結果的平均值以即做為各該檔位的比對基準，以 及決定各該平均值"前後各—個標準差。做為升樓/降樓 基準。於本第—實施例中，該停止學習條件乃是指在學習 模式中’該微電腦11再次的接到該學習指輪入機制的輸入 訊號’亦即’使用者再—次的按壓該按鍵14而產生了:鍵 動作’即觸使用者想要停止學習動作了。^圖即^示 某-使用者實際踩踏狀況的分佈圖，其踩踏 认 數的分佈狀態與第三圖所示的常態分佈狀態转接 此使用平均健標準差的計算不會有很大的誤差。 6 201247480 準則19 / Μ旱則12，並依現行的變迷判斷 L荇變速。付「速的條件時驅動該換檔控，制驅動器15進 m〜ί下來朗本第—實施例的操作狀態。' 圖使用者騎乘的過程中，錢也奏讓本 4系統學習使用者自己的騎乘習償，則 °Λ 並繼續騎乘動作，此時即產生一學習彳 入機勒13至該微雷腦n兮妣兩 干1私令輸 學習料：二 電腦U即接到指令而進入 子&模式。接者開始不斷的記_測結果(踩踏速 對應的檔位，這樣一來，會記錄到多個偵測結果以及所對 應的檔位，記錄的狀態會一直持續到使用者再次按壓該按 才停止，此時即結束學習模式，所記錄的結果即會呈 常態分佈·第三圖所示，其巾水平轴為踩踏速度之分 佈而垂直轴即為分佈之百分比。接著該微電腦U即依據 所兄錄到的該些偵測結果及所對應檔位來計算，進而得到 如第二圖所示的在各個檔位所對應的該些偵測結果的平均 值//以及標準差cr，並分別做為標位比對基準以及升樓/ 降檔基準，最後再更新為現行的變速判斷準則12。 該微電腦11在進行變速判斷時，係以騎乘者目前的檔 y對應踩踏速度來與對應的平均值β比較，藉以確認樓位 是否正確，接著，再判斷踩踏速度是否超過該平均值“― 個標準差σ，若大於一個標準差σ則判斷應進行升檔，若 小於一個標準則判斷應進行降檔，該微電腦u即據以 201247480 控制該換檔控制驅動器15進行換檔動作。由此可知，本第 一實施例可在學習使用者自己的騎乘習慣後定義出現行的 變速判斷準則12，讓變速判斷準則12真正的個人化，達 到變速條件個人化的功效。 此外，本第一實施例所感測的雖是以踩踏速度為例， 但車輪加速度、車輪速度、踩踏加速度、踩踏力量、生理 狀態等，均可由感測器19所偵測，並分別轉為數據後進行 平均值//及標準差σ的計算，而可用來作為變速判斷準則 12。此外，亦可不只使用一種感測器19來得到一種偵測結 果，而可以使用多種感測器19來取得多種偵測結果，例如 取得車輪速度與踩踏速度，而綜合取得平均值β與標準差 σ，作為變速判斷準則12。 請再參閱第五圖，本發明第二較佳實施例所提供之一 種具有學習功能的自行車變速控制系統2 〇，主要概同於前 揭第一實施例，不同之處在於： 該學習指令輸入機制13’係為一使用者介面14，的操作 指令，該使用者介面14’係電性連接於該微電腦u，，使用 者藉由操作該使用者介面14,來產生操作指令。由於該使 用者介面14’係屬習知技術，在傳統的觸控顯示幕或具有 顯示幕的電子裝置均已見，因此其詳細結構容不贅述，此 種以使用者介面14,來進行操作的方式，是同樣可以產生 操作指令來對該微電腦11，進行指示的。 β玄停止學習條件，係指在學習模式中所經過的預定騎 乘時間或預定騎乘距離。例如，當使用者進入學習模式而 8 201247480 騎乘了 ί〇分鐘或騎乘了 10公里，則該微電腦11，可據此來 決疋停止學習模式，而開始進行後續的計算。 該檔位輸入機制17’，於本實施例係指以一檔位感剛 器18’電性連接於該微電腦u，且設於該變速器;91，，用以 將感刪到的檔位訊息傳送至該微電腦11，。此種設置方式不 同於第一實施例的"皇接以變速器來提供檔位訊息，而是以 该檔位感測器1:8,來主動的偵測該變速器91，目前的檔位。 又’在判斷平均值β前後的標準差σ的數量時，並不 以第一實施例之一個標準差σ為限，於本實施例中係以二 払準差σ為例’亦可以達到使變速條件個人化的效果。由 此可推知’在判斷平均值β前後的標準差σ的數量上，除 了-個標準差σ或二個標準差σ之外，也可以是I : 準差σ。 ^ 本第二實施例之其餘技術特徵及所能達成的功效均概 同於前揭第一實施例，容木贅述。 θ請再參閱第六圖至第七圖，本發明第三較佳實施例所 提供之—種具有學習功能的自行車變速控㈣統30,主要 概同於前揭第一實施例，不同之處在於： 該自行車90”為一助力自行車，具有_助力焉達％” 用以提供助力轉矩。其中助力自行車上具有助力馬達92” 係屬習知，容不贅述。 ，感測ϋ 19”係感測該助力馬達92”所輸出的助力轉 矩，侍到對應的一偵測訊號，並傳送至該微電腦11”，該 微電腦11”係依據該偵測信號來產生出對應的一偵測： 201247480 ==結可以藉由上述第-實施例的方式 12”。： 〃以及I準差σ’進而可作為變速判斷準則 實施例之其餘技術特徵及所能達成的功 同於則揭第-實施例，容不贅述。 嘅 由上可知，本發明所能達成的功效在於：本發明可學 =使用者的騎乘狀4 ’在學習過程巾藉域㈣Β感測騎 乘狀態並轉為_結果，經計算得解均值錢標準差， 進而作為變速躺準則12 ’ II此制了學胃制者騎乘狀 態並使換檔條件個人化的功效。 【圖式簡單說明】 第一圖係本發明第一較佳實施例之結構示意圖。 第二圖係本發明第一較佳實施例之裝設示意圖。 第二圖係本發明第一較佳實施例之踩踏速度之常態分 佈圖。 第四圖係本發明第一較佳實施例之踩踏狀況與次數的 分佈示意圖。 第五圖係本發明第二較佳實施例之結構示意圖。 第六圖係本發明第三較佳實施例之結構示意圖。 第七圖係本發明第三較佳實施例之裝設示意圖。 【主要元件符號說明】 10具有學習功能的自行車變速控制系統 201247480 11微電腦 13學習指令輸入機制 15換檔控制驅動器 19感測器 90自行車 12變速判斷準則 14按鍵 17檔位輸入機制 91變速器 20具有學習功能的自抒車變速控制;系統 11’微電腦 — 13’學習指令輸入機制 14’使用者务面 17’檔位;輸入機制 18’檔位感測器 91’變速器 30具有學習功能的自行車變速控制系統 11”微電腦 12”變速判斷準則 19”感測器 90”自行車 92”助力馬達201247480 VI. Description of the Invention: TECHNICAL FIELD OF THE INVENTION The present invention relates to bicycles, and more particularly to a bicycle shifting control system having a learning function. [Prior Art] The current bicycle shift control system usually uses a microcomputer to judge the shift or not based on information such as the pedaling condition of the bicycle and the wheel speed, and controls the shifting operation. However, most of the aforementioned bicycle shift control systems do not have the ability to pre-drive the user's riding status, but use the factory preset value as the slot change condition. The factory default value is usually based on the majority of the manufacturer. The establishment of physiological values after averaging is mainly applicable to general users. The currently known shifting conditions are usually based on the speed of the car as the slot change condition, and some manufacturers' factory default values are based on the speed of the vehicle and the pedaling force (torque of the pedal). This method does not personalize the adjustment of the physiological conditions of each use. It only allows the user to adapt to the shift conditions established by the manufacturer, and there is still room for improvement in the settings. SUMMARY OF THE INVENTION The main object of the present invention is to provide a self-k speed control system which has a learning function, which can learn the riding state of the user and convert it into a building change condition, thereby achieving the effect of personalizing the shifting condition. In order to achieve the foregoing objective, a bicycle shifting control system having the function of learning 201247480 according to the present invention is provided on a bicycle having a transmission, and the bicycle shifting control system with learning function includes: a microcomputer a shift instruction criterion is stored therein; a learning instruction input mechanism is used for the user to input a signal to the microcomputer, thereby controlling the microcomputer to enter the learning mode; a shift control driver is electrically connected to the The microcomputer is connected to the transmission λ• and the microcomputer controls to drive the transmission for shifting; a gear input mechanism for inputting a gear position message to the microcomputer; and at least one sense! a predetermined position of the bicycle and electrically connected to the microcomputer for detecting at least one of a wheel speed, a wheel acceleration, a pedaling speed, a pedaling acceleration, a pedaling force, and a physiological state to obtain at least one detective turtle' Transmitting to the microcomputer, the microcomputer generates at least one detection result according to the at least one type of signal; in the riding of the ♦, the player controls the microcomputer to enter the sub-mode by using a learning command input mechanism 'The microcomputer records the at least one type of gear position corresponding to the detection age t, and the recorded action is stopped when the microcomputer judges the micro-hearts ^1 learning condition, and ends the learning f mode; then the micro According to the results of the debt test, the corresponding gear position information=the average value and the standard deviation of the (four) test results corresponding to the gear position, and the current shifting shifts to her wheel 4 201247480 drive for shifting. By this means, the system can learn the riding state of the user and switch to the shifting condition, thereby achieving the effect of personalizing the shifting condition. ____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________ A bicycle shifting control system 10 having a learning function according to a first preferred embodiment of the present invention is provided on a bicycle 90 having a transmission 91, the bicycle shifting control system 10 having a learning function. The utility model is mainly composed of a microcomputer U, a learning command input mechanism 13, a shift control driver 15, a gear input mechanism 17, and at least one sensor 19, wherein: the microcomputer 11 stores therein a shift determination criterion 12 . The δ meta-learning instruction input mechanism 13 is for the user to operate to input a signal to the microcomputer 11 to control the microcomputer 11 to enter the learning mode. In the first embodiment, the learning command input mechanism 13 is a button operation, which is disposed on the bicycle 90 by a button 14 and is electrically connected to the microcomputer 11, and the user presses the button 14 by pressing the button 14 To generate button actions. The sink change control driver 15' is electrically connected to the microcomputer 11, and is connected to the transmission 91, and is controlled by the microcomputer 11 to drive the transmission 91 for shifting. The gear input mechanism 17' is used to wheel the gear position message to the microcomputer 11. In the first embodiment, the gear input mechanism 17 means that the transmission 91 is electrically connected to the microcomputer 11, and the transmission 91 directly transmits the gear 201247480 message to the microcomputer 11. In the first embodiment, the at least one sensor 19 ′ is disposed at a predetermined position of the bicycle 9 且 and electrically connected to the microcomputer 11 for detecting the wheel speed. One of the wheel acceleration, the pedaling speed, the pedaling acceleration, the pedaling force, and the physiological state is taken as an example in the first embodiment to detect the pedaling speed. The detection signal obtained after the detection is transmitted to the microcomputer 11, and the microcomputer 1 generates a detection result corresponding to the pedaling speed according to the detection signal. During the riding process, the user controls the microcomputer 11 to enter the learning mode by the learning instruction input mechanism 13, and then the microcomputer continuously records the detection result and the corresponding gear position information, and records. The operation is stopped when the microcomputer 11 judges that it meets a stop learning condition, and the learning mode is ended. Then, the microcomputer u calculates the average value w and the standard deviation CJ of the detection results corresponding to the respective gear positions according to the corresponding gear position information of the detection results, and further determines the corresponding frequency bits. The average value of the detection results is taken as the comparison benchmark for each of the gear positions, and the average value of each of the average values is determined. As a benchmark for raising/lowering buildings. In the first embodiment, the stop learning condition refers to the input signal that the microcomputer 11 receives the learning finger wheeling mechanism again in the learning mode, that is, the user presses the button 14 again and again. Generated: Key action 'ie touch the user wants to stop learning action. ^The figure shows the distribution map of a user's actual pedaling condition. The distribution state of the treading number and the normal distribution state shown in the third figure are not greatly different from the calculation of the average standard deviation. . 6 201247480 Guideline 19 / Drought is 12, and judges according to the current fascination L荇 shift. When the "speed condition is applied, the shift control is driven, and the drive 15 is made into the m~u down to the operating state of the embodiment." In the process of the user riding, the money is also played by the system. If you are riding your own, you will continue to ride. At this point, you will learn to break into the machine. The 13th to the micro-brain n兮妣 two dry 1 private order learning materials: two computers U received The command enters the sub-amp mode. The receiver starts to continuously record the _ test result (the gear position corresponding to the pedaling speed, so that multiple detection results and corresponding gear positions will be recorded, and the recorded status will continue. When the user presses the button again to stop, the learning mode ends, and the recorded result is normally distributed. As shown in the third figure, the horizontal axis of the towel is the distribution of the pedaling speed and the vertical axis is the percentage of the distribution. Then, the microcomputer U is calculated according to the detection results recorded by the brothers and the corresponding gear positions, thereby obtaining the average value of the detection results corresponding to the respective gear positions as shown in the second figure/ / and the standard deviation cr, and as the target alignment And the upgrade/downshift reference, and finally updated to the current shift determination criterion 12. The microcomputer 11 compares the current average y of the rider with the corresponding average value β when performing the shift determination. Confirm whether the building is correct, and then judge whether the pedaling speed exceeds the average value of “― standard deviation σ. If it is greater than one standard deviation σ, it is judged that the upshift should be performed. If it is less than one standard, it is judged that the downshift should be performed. u, according to 201247480, the shift control driver 15 is controlled to perform a shifting operation. It can be seen that the first embodiment can define the shift determination criterion 12 of the line after learning the user's own riding habit, and let the shift determination criterion 12 Real personalization, to achieve the effect of personalization of shifting conditions. In addition, although the first embodiment senses the pedaling speed as an example, the wheel acceleration, wheel speed, pedaling acceleration, pedaling force, physiological state, etc. It can be detected by the sensor 19 and converted into data and then calculated by the mean value // and the standard deviation σ, which can be used as the shift determination. 12. In addition, instead of using only one type of sensor 19 to obtain a detection result, a plurality of sensors 19 can be used to obtain a plurality of detection results, such as obtaining wheel speed and pedaling speed, and comprehensively obtaining an average value β. And the standard deviation σ as the shift determination criterion 12. Referring to the fifth figure, a bicycle shift control system with learning function provided by the second preferred embodiment of the present invention is mainly related to the first implementation of the first embodiment. For example, the learning command input mechanism 13' is an operation command of a user interface 14, and the user interface 14' is electrically connected to the microcomputer u, and the user operates the user. The interface 14 is used to generate an operation command. Since the user interface 14' is a conventional technology, the conventional touch display screen or the electronic device having the display screen has been seen, so the detailed structure thereof will not be described. The user interface 14 operates in such a manner that an operation command can be generated to instruct the microcomputer 11. The β-term stop learning condition refers to the predetermined riding time or the predetermined riding distance that passes through the learning mode. For example, when the user enters the learning mode and 8 201247480 rides for 〇 minutes or rides 10 kilometers, the microcomputer 11 can start the subsequent calculation according to the decision to stop the learning mode. The gear input mechanism 17' is electrically connected to the microcomputer u by a gear position sensor 18', and is disposed in the transmission; 91, the gear position message for deleting the sense Transfer to the microcomputer 11,. This arrangement is different from that of the first embodiment in that the transmission provides the gear position information by the transmission, and the gear position sensor 1:8 is used to actively detect the transmission 91, the current gear position. In addition, when the number of standard deviations σ before and after the average value β is judged, it is not limited to one standard deviation σ of the first embodiment. In the present embodiment, the two-dimensional deviation σ is taken as an example. The effect of personalization of shifting conditions. From this, it can be inferred that the number of standard deviations σ before and after the judgment of the average value β may be I: the standard deviation σ in addition to the - standard deviation σ or two standard deviations σ. The remaining technical features of the second embodiment and the achievable effects are the same as those of the first embodiment. θ Please refer to the sixth to seventh figures again, and the bicycle shift control (four) system 30 having the learning function provided by the third preferred embodiment of the present invention is mainly similar to the first embodiment disclosed above, and the difference is the same. It is: The bicycle 90" is a power-assisted bicycle with _ assisted %% to provide boost torque. The assisting motor 92" on the assist bicycle is a conventional one, and is not described. The sensing ϋ 19" senses the assist torque output by the assist motor 92", and supplies a corresponding detection signal and transmits To the microcomputer 11", the microcomputer 11" generates a corresponding detection according to the detection signal: 201247480 == The junction can be 12" by the above-mentioned first embodiment. The 〃 and I-quasi- σ' can be used as the other technical features of the shift determination criterion and the achievable functions of the embodiment are not described herein. It can be seen from the above that the effect that can be achieved by the present invention is that the present invention can learn = the ride shape of the user 4' in the learning process towel domain (4) Β sense the riding state and turn into a _ result, calculated by the solution The standard value of the money is poor, and as a shifting criterion 12 ' II, this system has the effect of learning the rider's riding state and personalizing the shifting conditions. BRIEF DESCRIPTION OF THE DRAWINGS The first drawing is a schematic view of the structure of a first preferred embodiment of the present invention. The second drawing is a schematic view of the installation of the first preferred embodiment of the present invention. The second drawing is a normal distribution diagram of the stepping speed of the first preferred embodiment of the present invention. The fourth figure is a distribution diagram of the state of pedaling and the number of times of the first preferred embodiment of the present invention. Figure 5 is a schematic view showing the structure of a second preferred embodiment of the present invention. Figure 6 is a schematic view showing the structure of a third preferred embodiment of the present invention. Figure 7 is a schematic view showing the installation of a third preferred embodiment of the present invention. [Main component symbol description] 10 bicycle shift control system with learning function 201247480 11 microcomputer 13 learning command input mechanism 15 shift control drive 19 sensor 90 bicycle 12 shift determination criterion 14 button 17 gear input mechanism 91 transmission 20 has learning Functional self-driving shift control; system 11' microcomputer - 13' learning command input mechanism 14' user's face 17' position; input mechanism 18' gear position sensor 91' transmission 30 with learning function bicycle shift control System 11" microcomputer 12" shift determination criteria 19" sensor 90" bicycle 92" power assist motor