CN114978894A - Code table parameter configuration method and code table - Google Patents
Code table parameter configuration method and code table Download PDFInfo
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- CN114978894A CN114978894A CN202210413415.6A CN202210413415A CN114978894A CN 114978894 A CN114978894 A CN 114978894A CN 202210413415 A CN202210413415 A CN 202210413415A CN 114978894 A CN114978894 A CN 114978894A
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- 238000007405 data analysis Methods 0.000 claims abstract description 6
- 238000001914 filtration Methods 0.000 claims description 36
- 238000004458 analytical method Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000001351 cycling effect Effects 0.000 claims description 3
- 230000000875 corresponding effect Effects 0.000 description 6
- 230000008569 process Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 3
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0806—Configuration setting for initial configuration or provisioning, e.g. plug-and-play
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
- B62J—CYCLE SADDLES OR SEATS; AUXILIARY DEVICES OR ACCESSORIES SPECIALLY ADAPTED TO CYCLES AND NOT OTHERWISE PROVIDED FOR, e.g. ARTICLE CARRIERS OR CYCLE PROTECTORS
- B62J50/00—Arrangements specially adapted for use on cycles not provided for in main groups B62J1/00 - B62J45/00
- B62J50/20—Information-providing devices
- B62J50/21—Information-providing devices intended to provide information to rider or passenger
- B62J50/22—Information-providing devices intended to provide information to rider or passenger electronic, e.g. displays
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The invention provides a code table parameter configuration method and a code table, wherein the method comprises the following steps: when a user uses the code table for the first time, judging whether the code table is in an offline state, if the code table is in the offline state, recording basic information of the user, acquiring riding data in real time, performing parameter configuration through a microprocessor on the code table, and if the code table is not in the offline state, logging in a user account, and configuring code table parameters in a background server based on the riding data acquired in real time by the code table; when the user does not use the code table for the first time, the user riding data is collected in real time based on the code table and uploaded to the background server, and the background server configures the parameters of the code table through big data analysis. By the scheme, the code table can be conveniently replaced, and the accuracy of code table parameter configuration can be guaranteed.
Description
Technical Field
The invention belongs to the technical field of bicycle stopwatches, and particularly relates to a stopwatch parameter configuration method and a stopwatch.
Background
The realization of each item of data in the bicycle code list is calculated according to a plurality of parameters, and the corresponding parameter source is generally determined by a fixed value set by a user or a public value obtained by developers through test and evaluation. However, the parameter values configured in this way are inaccurate and ambiguous, and the difference is particularly obvious for different user groups, and when people with different characteristics use the same group of configuration parameters, data which do not conform to the reality can be obtained, and simultaneously, the physical characteristics of the same person in different stages also change greatly, which greatly reduces the accuracy of code table parameter configuration.
Disclosure of Invention
In view of this, embodiments of the present invention provide a code table parameter configuration method and a code table, which are used to solve the problem of inaccurate parameter configuration of an existing code table.
In a first aspect of the embodiments of the present invention, a method for configuring a code table parameter is provided, including:
when a user uses the code table for the first time, judging whether the code table is in an offline state, if the code table is in the offline state, recording basic information of the user, acquiring riding data in real time, performing parameter configuration through a microprocessor on the code table, and if the code table is not in the offline state, logging in a user account, and configuring code table parameters in a background server based on the riding data acquired in real time by the code table;
when the user does not use the code table for the first time, the user riding data is collected in real time based on the code table and uploaded to the background server, and the background server configures the parameters of the code table through big data analysis.
In a second aspect of the embodiments of the present invention, there is provided a code table, including:
the data acquisition module is used for acquiring riding data through the sensor and inputting basic information of a user;
the data transmission module is used for sending the basic information of the user and the riding data to the background server or receiving the configuration parameters sent by the background server;
and the parameter configuration module is used for analyzing the riding data based on the microprocessor on the code table, configuring the parameters of the code table, or configuring the parameters of the code table based on the configuration parameters sent by the background server.
In the embodiment of the invention, the code table parameters are configured based on the analysis of the riding data of the user, so that the code table of the user is associated with the individual characteristics of the user, the accuracy of the code table parameters can be improved, and the code table is convenient to replace.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating a method for configuring code table parameters according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a method for configuring code table parameters according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a code table according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the term "comprises" and its derivatives, as used in the description or claims of the present invention and in the appended drawings, are intended to cover non-exclusive inclusions, such that a process, method or system, or apparatus that comprises a list of steps or elements is not limited to the listed steps or elements. In addition, "first" and "second" are used to distinguish different objects, and are not used to describe a specific order.
Referring to fig. 1, a flow chart of a method for configuring code table parameters according to an embodiment of the present invention includes:
s101, when a user uses a code table for the first time, judging whether the code table is in an offline state, if the code table is in the offline state, recording basic information of the user, then acquiring riding data in real time, performing parameter configuration through a microprocessor on the code table, if the code table is not in the offline state, logging in a user account, and configuring code table parameters in a background server based on the riding data acquired in real time by the code table;
the basic information of the user includes age, weight, height, area, use habit and the like. The code table configuration refers to parameter items affected by the individual characteristic difference or environment of the user. The general code table configuration depends on the basic information of the user, but with the increase of the use times, the configuration parameters gradually tend to the data really obtained by the user in the actual use, the information of each parameter item can be calculated through the analysis of an algorithm, and the parameter information also directly determines each function index of the code table. The code table parameters may include, but are not limited to, a user's heart rate interval, aerobic pace, aerobic power, training type preferences, font size, subject style preferences, warm-up, fat burning, extreme exercise intensity interval, etc., and multiple uses of the code table are generally required to obtain such configuration parameters.
The offline state refers to a state that the device is not connected to a network (also called an offline state), for the code table in the offline state, the riding data of the user can be stored in the memory of the code table, and the microprocessor of the code table can acquire the riding data and analyze the riding data through a preset algorithm to obtain parameter configuration according with the characteristics of the user. The analysis by the predetermined algorithm comprises recursive filtering, mean filtering, weighted filtering and the like.
When the user is in an offline state or can be connected to a network, a user account is used as a user identifier, user basic information is stored, riding data collected by the code meter is uploaded to an account corresponding to the user on a background server through a WiFi or cellular network, the account data is stored in a specified database, a special processor conducts algorithm analysis on the riding data, parameter configuration more conforming to the characteristics of the user is obtained, and the riding data is transmitted back to the code meter end through the WiFi or cellular network for the user to use.
The method comprises the steps of judging whether a user has historical use equipment, importing historical data if the user has the historical use equipment, inputting user basic information if the user does not have the historical use equipment, and acquiring data in real time through a microprocessor analysis code table to configure parameters.
As shown in fig. 2, before the user uses the code table, it needs to determine whether to use the code table for the first time, if so, it needs to determine whether to be in an offline state, and if so, it determines whether there is a history code table device, and generally synchronizes the history code table parameters to the current code table.
The sensor type corresponding to the code table includes, but is not limited to, an acceleration sensor, a speed sensor, a cadence sensor, a power sensor, etc.
S102, when the user does not use the code table for the first time, collecting user riding data in real time based on the code table and uploading the user riding data to a background server, and the background server analyzes and configures the parameters of the code table through big data.
For a user who does not use the bicycle for the first time, previous code table configuration parameters can be imported, and the bicycle parameters are optimized through algorithm analysis according to riding data collected by the current code table, so that the current physical characteristics and the use style of the user are better met.
The physical characteristics refer to the physiological performance reflected by the body of the user under the motion of different intensities, and the data is obtained by integrating the basic information of the user and various data collected by the sensor. The use style refers to a man-machine interaction style between a user and the code list, the influence factors are mostly determined by basic information and use frequency of the user, for example, the use frequency of different data items can determine the display sequence of the data items, users of different ages, the font size displayed by the code list is gradually increased along with the ages, and the like.
The big data analysis is to upload various sensor data collected in a user code table to a background server, calculate related parameter values of the collected data through a specific algorithm and then transmit the parameter values back to the code table for configuration, and generally, each parameter has a corresponding specific algorithm.
In the embodiment, the fixed parameter configuration in the code table is improved into the dynamic parameter configuration, so that the situation that the actual data deviates due to the individual difference of the user can be avoided; the data on the old equipment is synchronized to the new equipment, so that the loss of user data can be avoided; through the background big data analysis configuration, the use of a user can be facilitated, the operation difficulty is reduced, and the accuracy of configuration parameters is guaranteed. Meanwhile, the method is strong in pertinence and functional compatibility.
In one embodiment, the collected riding data is buffered and stored on the code list or the background server by adopting a circular queue.
For the code table or the background server, as the amount of riding data generated by a user is infinite and the storage capacity of the equipment is finite, the data needs to be processed in an overlaying manner when the infinite data is stored in the finite memory, namely, a circular queue buffering technology is adopted. Specifically, data is stored in a queue with a fixed length, the queue is connected end to end, and the condition of the queue is tracked by pointing to the positions of the tail and the head of the queue through two pointers respectively. The pointer is moved forward accordingly, according to the increment and decrement of new data of the queue. Without having to dynamically go to operate on this queue. When the queue is full, new data covers data at the tail of the queue, data at the head of the queue is fetched when the data is fetched, and so on, the latest data is always stored in the queue, and data transmission is performed in a FIFO (first-in first-out) mode.
In one embodiment, the cycling data collected by the code table is subjected to recursive filtering, mean filtering and weighted filtering respectively.
Because the human body can be discontinuous motion trend, if direct user riding data geometric analysis, theoretical body intensity is less than actual body intensity when can produce continuous many days to ride, and theoretical body intensity is greater than the condition emergence of actual body intensity when stopping to ride for continuous many days. The realization of algorithms such as recursive filtering, mean filtering, weighted filtering and the like is introduced, and the data acquired from the background big data is analyzed after being subjected to the filtering algorithm, so that the interference caused by the intermittent motion trend can be effectively reduced.
The mean filtering is a linear filtering mode, can well obtain a data mean value, smoothes special data of a certain riding, and filters random interference.
The recursive filtering is to set a queue with the length of N, place the acquired data to the tail of the queue, and discard the data at the head of the queue at the same time, so as to ensure that N data in the queue are the latest data, and solve the problem that the motion data of the queue is affected by real-time performance after mean filtering.
The weighting filtering is to apply different weights to the data at different moments, generally, the closer the data is to the data at the current moment, the larger the weight is obtained, the larger the weight coefficient of the new sampling data value is, and the influence of data real-time performance is improved.
For example, a user purchases a new bicycle code form, and basic information and parameter configuration of an individual are required to be filled in when the code form is used for the first time, but specific data cannot be clearly obtained when the diameter of a bicycle wheel is filled in since the user purchases the bicycle for many years. The code table has the function of exporting the use data of the old equipment, the use data in the old code table is sent to the new code table through the Bluetooth, and at the moment, the new code table is matched through the original configuration data of the original user to obtain the bicycle wheel diameter most suitable for the user.
When the user just uses the stopwatch, the most suitable heart rate warning value is assumed to be 120 times/min, and after the user continuously rides for multiple times, the most suitable heart rate warning value is assumed to be 140 times/min. The average heart rate data obtained by the exercise in the period of time is 90, 100, 110, 100, 115, 110, 120, 125 (the physical function is gradually strengthened along with continuous exercise), and n is obtained by mean value filtering 0 110.5, the data in the previous stage is N obtained by superposition recursive filtering (N is 5) 1 103, the later data is n 2 118, overlap weighted filtering (weight coefficient is increased by '1') to obtain the previous data n 3 99.67, late data n 4 120. Then after the user stops riding for a plurality of days continuously, the most suitable heart rate warning value actually drops to 120 times/min, riding is started on a certain day to obtain 5 groups of new data 95, 105, 100, 105 and 110, and n is obtained through mean value filtering 5 108, add recursive filtering (N5) to get N 6 Weighted filtering (weight coefficient with "1") is superimposed 103 "Increment) to obtain n 7 101. Each filtered value can be used as a current heart rate alert value.
n 0 ＝(90+100+110+100+115+115+110+120+120+125)/10＝110.5
n 1 ＝(90+100+110+100+115)/5＝103
n 2 ＝(115+110+120+120+125)/5＝118
n 3 ＝(90*5+100*4+110*3+100*2+115)/15＝99.67
n 4 ＝(115+110*2+120*3+120*4+125*5)/15＝120
n 5 ＝(90+100+110+100+115+115+110+120+120+125+95+105+100+105+110)/15＝108
n 6 ＝(95+105+100+105+110)/5＝103
n 7 ＝(95*5+105*4+100*3+105*2+110)/15＝101
As shown in the following table:
| early data | Late data | Post-stop motion data | |
| Actual data | 120 | 140 | 120 |
| Mean value filtering | 110.5+20＝130.5 | 110.5+20＝130.5 | 108+20＝128 |
| Superposition recursive filtering | 103+20＝123 | 118+20＝138 | 103+20＝123 |
| Superposition weighted filtering | 99.67+20＝119.67 | 120+20＝140 | 101+20＝121 |
Therefore, the accuracy of the data can be effectively improved through the superposition filtering algorithm.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 3 is a schematic structural diagram of a code table according to an embodiment of the present invention, where the system includes:
the data acquisition module 310 is used for acquiring riding data through a sensor and inputting basic information of a user;
the data acquisition module includes the sensor for based on the sensor data of riding of user, the stopwatch has been correlated with terminal equipment and is used for the input of information.
The data transmission module 320 is used for sending the basic information of the user and the riding data to the background server, or receiving configuration parameters sent by the background server;
the transmission module comprises a wireless communication unit used for communicating with the background server and a Bluetooth unit used for transmitting data with the old code table device.
And the parameter configuration module 330 is configured to perform code table parameter configuration based on the riding data analysis of the microprocessor on the code table, the configuration of the code table parameters, or based on the configuration parameters sent by the background server.
The parameter configuration module comprises a microprocessor, and the microprocessor configures parameters based on a specific algorithm by acquiring riding data in the memory. Or receiving data transmitted by the background server and directly completing parameter configuration.
The method comprises the steps of judging whether a user has historical use equipment, importing historical data if the user has the historical use equipment, inputting user basic information if the user does not have the historical use equipment, and configuring parameters through a parameter configuration module.
Preferably, the acquired riding data is buffered and stored on the code table by adopting a circular queue.
And the background server can also adopt ring queue buffering to store data.
Preferably, the parameter configuration module includes:
and the filtering unit is used for respectively carrying out recursive filtering, mean filtering and weighted filtering on the riding data acquired by the code table.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for configuring code table parameters, comprising:
when a user uses the code table for the first time, judging whether the code table is in an offline state, if the code table is in the offline state, recording basic information of the user, acquiring riding data in real time, performing parameter configuration through a microprocessor on the code table, and if the code table is not in the offline state, logging in a user account, and configuring code table parameters in a background server based on the riding data acquired in real time by the code table;
when the user does not use the code table for the first time, the user riding data is collected in real time based on the code table and uploaded to the background server, and the background server configures the parameters of the code table through big data analysis.
2. The method of claim 1, wherein entering the user basic information if the code table is offline comprises:
judging whether a user has historical use equipment, if so, importing historical data, otherwise, inputting user basic information, and acquiring data in real time through a microprocessor analysis code table to configure parameters.
3. The method of claim 1, wherein the collected cycling data is buffered on the code list or on the background server using a circular queue.
4. The method of claim 1, wherein the background server analyzes configuration code table parameters via big data and comprises:
and performing recursive filtering, mean filtering and weighted filtering on the riding data acquired by the code table respectively.
5. A code table, comprising:
the data acquisition module is used for acquiring riding data through the sensor and inputting basic information of a user;
the data transmission module is used for sending the basic information of the user and the riding data to the background server or receiving configuration parameters sent by the background server;
and the parameter configuration module is used for analyzing the riding data based on the microprocessor on the code table, configuring the parameters of the code table, or configuring the parameters of the code table based on the configuration parameters sent by the background server.
6. The code table according to claim 5, wherein said entering user basic information comprises:
if the user uses the code table for the first time and the code table is in an offline state, judging whether the user has historical using equipment, if so, importing historical data, and if not, inputting user basic information and performing parameter configuration through a parameter configuration module.
7. The code table according to claim 5, wherein the collected cycling data is buffered and stored on the code table by using a circular queue.
8. The code table according to claim 5, wherein the parameter configuration module comprises:
and the filtering unit is used for respectively carrying out recursive filtering, mean filtering and weighted filtering on the riding data acquired by the code table.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150262483A1 (en) * | 2013-01-25 | 2015-09-17 | Mitsubishi Electric Corporation | Movement assistance device and movement assistance method |
| CN205320142U (en) * | 2015-12-03 | 2016-06-15 | 昆山研达电脑科技有限公司 | Intelligence code table system |
| CN106161456A (en) * | 2016-07-25 | 2016-11-23 | 维沃移动通信有限公司 | A kind of monitoring method of data of riding and mobile terminal |
| CN106323333A (en) * | 2016-08-25 | 2017-01-11 | 刘宗磊 | Intelligent riding stopwatch |
| CN107277899A (en) * | 2017-05-08 | 2017-10-20 | 歌尔科技有限公司 | Control method, device and the intelligent code table of intelligent code table |
| CN107664975A (en) * | 2017-11-01 | 2018-02-06 | 中国地质大学（武汉） | Intellectual monitoring code table and intellectual monitoring code system based on NB IoT networks |
| CN211783598U (en) * | 2020-04-03 | 2020-10-27 | 小骑记(武汉)科技有限公司 | Riding data acquisition system |
-
2022
- 2022-04-15 CN CN202210413415.6A patent/CN114978894B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150262483A1 (en) * | 2013-01-25 | 2015-09-17 | Mitsubishi Electric Corporation | Movement assistance device and movement assistance method |
| CN205320142U (en) * | 2015-12-03 | 2016-06-15 | 昆山研达电脑科技有限公司 | Intelligence code table system |
| CN106161456A (en) * | 2016-07-25 | 2016-11-23 | 维沃移动通信有限公司 | A kind of monitoring method of data of riding and mobile terminal |
| CN106323333A (en) * | 2016-08-25 | 2017-01-11 | 刘宗磊 | Intelligent riding stopwatch |
| CN107277899A (en) * | 2017-05-08 | 2017-10-20 | 歌尔科技有限公司 | Control method, device and the intelligent code table of intelligent code table |
| CN107664975A (en) * | 2017-11-01 | 2018-02-06 | 中国地质大学（武汉） | Intellectual monitoring code table and intellectual monitoring code system based on NB IoT networks |
| CN211783598U (en) * | 2020-04-03 | 2020-10-27 | 小骑记(武汉)科技有限公司 | Riding data acquisition system |
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