Intelligent control method and system for water resistance rowing machine

Abstract

The present application relates to an intelligent control method for a water resistance rowing machine, which relates to the field of fitness equipment. It solves the problem that once a water resistance rowing machine is used by multiple people, the common usage modes of different users of the water resistance rowing machine are often different. Therefore, when subsequent users of the water resistance rowing machine use the water resistance rowing machine, the corresponding users are also required to adjust the usage mode to their own commonly used usage mode, which is a relatively troublesome problem. The method includes: obtaining the identity information of the person using the water resistance rowing machine; analyzing and determining the default usage mode of the water resistance rowing machine based on the correspondence between the person identity information and the default usage mode of the water resistance rowing machine; and executing the default usage mode of the water resistance rowing machine. The present application has the following effects: it can actively match the usage mode when the user uses the water resistance rowing machine, thereby improving the convenience of the user in using the water resistance rowing machine.

Description

Technical Field

[0001] The present application relates to the field of fitness equipment, and in particular to an intelligent control method for a water-resistance rowing machine. Background Art

[0002] The waterrower, also known as a water rowing machine or a water resistance rowing machine, is a type of rowing machine. It simulates the real way of rowing, creating the visual, sound and feel effects of real rowing, allowing you to experience realistic and progressive rowing movements, and has a more obvious effect on strengthening the muscles of the legs, waist, upper limbs, chest, back and other parts of the body.

[0003] Existing water resistance rowing machines often have many usage modes, such as calorie mode, distance mode and time mode. Users need to select a specific usage mode based on personal needs when using the water resistance rowing machine.

[0004] With respect to the above-mentioned related technologies, the inventors have found the following defects: once the water resistance rowing machine is used by multiple people, the common usage modes of different users of the water resistance rowing machine are often different. Therefore, when subsequent users of the water resistance rowing machine use the water resistance rowing machine, the corresponding users are required to adjust the usage mode to their own commonly used usage mode, which is rather troublesome. Summary of the invention

[0005] In order to actively match the usage mode when the user uses the water resistance rowing machine, thereby improving the convenience of the user in using the water resistance rowing machine, the present application provides an intelligent management and control method and system for a water resistance rowing machine.

[0006] In a first aspect, the present application provides an intelligent control method for a water-resistance rowing machine, which adopts the following technical solutions:

[0007] An intelligent control method for a water-resistance rowing machine, comprising:

[0008] Obtaining the identity of the person using the water resistance rowing machine;

[0009] Analyze and determine the default usage mode of the water resistance rowing machine according to the correspondence between the personnel identity information and the default usage mode of the water resistance rowing machine;

[0010] Execute the default mode for water rowing.

[0011] By adopting the above technical solution, the use mode of the water resistance rowing machine can be automatically matched according to the identity of the person using the water resistance rowing machine, thereby improving the efficiency of the person using the water resistance rowing machine to start exercising as soon as possible.

[0012] Optionally, according to the correspondence between the personal identity information and the default use mode of the water resistance rowing machine, the default use mode of the water resistance rowing machine is analyzed and determined to include:

[0013] Obtain the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine;

[0014] According to the probability distribution information of the default usage mode of the water resistance rowing machine selected by the corresponding identity information in different cumulative exercise fatigue intervals, the probability distribution information of the default usage mode of the water resistance rowing machine selected by the corresponding identity information under the current cumulative exercise fatigue is analyzed and determined, and the default usage mode of the water resistance rowing machine with the highest probability is selected as the default usage mode of the water resistance rowing machine determined in this analysis.

[0015] By adopting the above technical scheme, full consideration is given to the fact that people using the water resistance rowing machine have participated in some sports and have a certain degree of accumulated sports fatigue before using the water resistance rowing machine, and the usage modes selected by people using the water resistance rowing machine based on different accumulated sports fatigue are also different. Therefore, combined with the probability distribution information of people with corresponding identity information selecting the default usage mode of the water resistance rowing machine in different accumulated sports fatigue ranges, the user's willingness to select the water resistance rowing machine this time can be analyzed and determined more accurately, thereby improving the efficiency of people using the water resistance rowing machine to start exercising as soon as possible.

[0016] Optionally, the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine includes:

[0017] Analyze whether the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine;

[0018] If yes, then the accumulated exercise fatigue degree of the person with the corresponding identity information in the preset time before using the water resistance rowing machine is used as the accumulated exercise fatigue degree of the person with the corresponding identity information in the preset time before using the water resistance rowing machine;

[0019] If not, then according to the historical exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine, and the correspondence between different exercise types of the corresponding identity information person and the accumulated fatigue degree per unit time, analyze and obtain the accumulated exercise fatigue degree of the corresponding identity information person within the preset time before using the water resistance rowing machine;

[0020] The accumulated exercise fatigue degree obtained through analysis, the exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine are sent as notification information to the terminal held by the corresponding identity information person;

[0021] Analyze whether there is any information related to the accumulated exercise fatigue of the corresponding identity information person in the preset time period before using the water resistance rowing machine fed back by the corresponding identity information person within the preset time interval;

[0022] If yes, then the information related to the accumulated exercise fatigue of the corresponding identity information person in the preset time before using the water resistance rowing machine is used as the accumulated exercise fatigue of the corresponding identity information person in the preset time before using the water resistance rowing machine this time;

[0023] If not, the accumulated exercise fatigue degree confirmed by the notification information will be used as the accumulated exercise fatigue degree of the person with the corresponding identity information within the preset time before using the water resistance rowing machine.

[0024] By adopting the above technical scheme, considering that the cumulative exercise fatigue can be obtained not only by automatic collection and uploading through some terminal devices, but also by the person using the water resistance rowing machine automatically uploading the cumulative exercise fatigue, in order to facilitate the people using the water resistance rowing machine to better understand their own exercise fatigue, the cumulative exercise fatigue of the person with the corresponding identity information will be predicted through the historical exercise type and exercise time of the person with the corresponding identity information before the time point of using the water resistance rowing machine, and the person using the water resistance rowing machine will be asked to confirm it, so as to effectively determine the cumulative exercise fatigue, thereby more accurately analyzing and determining the user's willingness to choose the water resistance rowing machine this time, thereby improving the efficiency of the people using the water resistance rowing machine to start exercising as soon as possible.

[0025] Optionally, the method further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0026] Analyze whether there are usage patterns with the same probability;

[0027] If yes, then analyzing the acquisition mode of the cumulative sports fatigue, wherein the acquisition mode of the cumulative sports fatigue includes direct acquisition and indirect analysis acquisition;

[0028] According to the corresponding relationship between the acquisition mode of the cumulative exercise fatigue mode and the probability of selecting the use mode, the selection probability of the use mode is analyzed and determined, and the use mode with a higher selection probability is selected as the default use mode of the water resistance rowing machine with the highest probability;

[0029] If not, execute the next steps.

[0030] By adopting the above technical solution, when usage modes with the same probability appear, the usage mode with a higher probability will be further analyzed and determined based on the corresponding relationship between the acquisition mode of the accumulated motion fatigue and the probability of selecting the usage mode.

[0031] Optionally, the method further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0032] Analyze whether there are usage patterns with the same probability;

[0033] If yes, then obtain the time node of using the water resistance rowing machine;

[0034] According to the corresponding relationship between different time periods and the selection probability of the usage mode, the selection probability of the usage mode is analyzed and determined, and the usage mode with a higher selection probability is selected as the default usage mode of the water resistance rowing machine with the highest probability;

[0035] If not, execute the next steps.

[0036] By adopting the above technical solution, when usage modes with the same probability appear, the usage mode with a higher probability will be further analyzed and determined based on the time period in which the time node of using the water resistance rowing machine falls and the corresponding relationship between different time periods and the probability of selecting the usage mode.

[0037] Optionally, the method further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0038] Analyze whether there are usage patterns with the same probability;

[0039] If yes, then obtaining the time node of using the water resistance rowing machine and the acquisition mode of the accumulated exercise fatigue, wherein the acquisition mode of the accumulated exercise fatigue includes direct acquisition and indirect analysis acquisition;

[0040] Analyze and determine the first selection probability of the use mode according to the corresponding relationship between the acquisition mode of the cumulative sports fatigue mode and the selection probability of the use mode;

[0041] Analyze and determine the second selection probability of the usage mode according to the corresponding relationship between different time periods and the selection probability of the usage mode;

[0042] Analyze and obtain the effective selection probability of the use mode according to the first selection probability of the use mode and the second selection probability of the use mode, and select the use mode corresponding to the highest effective selection probability as the default use mode of the water resistance rowing machine with the highest probability;

[0043] If not, execute the next steps.

[0044] By adopting the above technical solution, when usage modes with the same probability appear, the time period in which the time node of using the water resistance rowing machine falls, the corresponding relationship between the acquisition mode of accumulated exercise fatigue and the probability of selecting the usage mode will be comprehensively considered to analyze and confirm the probability of selecting the usage mode, so as to further analyze and determine the usage mode with a higher probability.

[0045] Optionally, the method further includes steps after analyzing and determining the default use mode of the water resistance rowing machine and before executing the default use mode of the water resistance rowing machine, specifically as follows:

[0046] Obtain the daily calories planned by the identity information of the person using the water resistance rowing machine and the calories consumed on that day before the water resistance rowing machine was used;

[0047] According to the daily calories planned by the person using the water resistance rowing machine and the calories consumed before using the water resistance rowing machine on that day, the number of calories that the person using the water resistance rowing machine is expected to consume during this use of the water resistance rowing machine is analyzed and obtained;

[0048] Based on the estimated number of calories that the user of the water resistance rowing machine will consume during this use of the water resistance rowing machine and the unit calorie consumption of the user of the water resistance rowing machine in different modes, the specific unit number is analyzed and determined, and the unit number is added to the default usage mode.

[0049] By adopting the above technical scheme, it is fully considered that the analyzed and confirmed default mode should also include a specific number of units. Combined with the calories consumed by the person using the water resistance rowing machine before using the water resistance rowing machine, the number of calories that the person using the water resistance rowing machine is expected to consume in this use of the water resistance rowing machine is effectively analyzed and determined, and the specific number of units is determined based on the analyzed and determined number of calories, so that the person using the water resistance rowing machine can exercise more reasonably.

[0050] Optionally, the analysis of the estimated number of calories consumed by the user of the water resistance rowing machine during this use of the water resistance rowing machine includes:

[0051] Analyze and obtain the motion planning information of people who use the water resistance rowing machine after using the water resistance rowing machine;

[0052] Analyze and determine the estimated calorie consumption of the person using the water resistance rowing machine after using the water resistance rowing machine based on the exercise type and time corresponding to the exercise planning information of the person using the water resistance rowing machine after using the water resistance rowing machine, and the calorie consumption per unit time of the person using the water resistance rowing machine participating in different types of exercise;

[0053] The estimated number of calories consumed by the person using the water resistance rowing machine after using the water resistance rowing machine, the planned daily calories consumed by the person using the water resistance rowing machine, and the calories consumed before using the water resistance rowing machine on the day are analyzed to obtain the estimated number of calories consumed by the person using the water resistance rowing machine during this use of the water resistance rowing machine.

[0054] By adopting the above technical solution, not only the calorie consumption of the person using the water resistance rowing machine before using the water resistance rowing machine is taken into consideration, but also the exercise plan of the person using the water resistance rowing machine for the rest of the day is taken into consideration, so that the number of calories the person using the water resistance rowing machine is expected to consume during this use of the water resistance rowing machine can be more accurately determined, thereby better ensuring that the exercise of the person using the water resistance rowing machine is more reasonable.

[0055] In the second aspect, the present application provides an intelligent control system for a water-resistance rowing machine, which adopts the following technical solutions:

[0056] An intelligent control system for a water-resistance rowing machine, comprising:

[0057] An acquisition module, used to acquire identity information of a person using the water resistance rowing machine;

[0058] An analysis and determination module, used to analyze and determine the default use mode of the water resistance rowing machine according to the correspondence between the personnel identity information and the default use mode of the water resistance rowing machine;

[0059] The execution module is used to execute the default use mode of the water resistance rowing machine.

[0060] By adopting the above technical solution, the acquisition module and the analysis and determination module can effectively and automatically match the usage mode of the water resistance rowing machine according to the identity of the person using the water resistance rowing machine, and perform corresponding execution through the execution module, thereby improving the efficiency of the person using the water resistance rowing machine to start exercising as soon as possible.

[0061] The beneficial technical effects of this application are:

[0062] 1. The water resistance rowing machine can automatically match the default mode according to the user's identity information, thereby improving the user experience.

[0063] 2. Comprehensively consider the fatigue of users and arrange a water resistance rowing machine exercise experience of reasonable intensity. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a flow chart of an intelligent control method of a water resistance rowing machine according to an embodiment of the present application.

[0065] Figure 2This is a flowchart of another embodiment of the present application for analyzing and determining the default usage mode of a water resistance rowing machine based on the correspondence between personal identity information and the default usage mode of the water resistance rowing machine.

[0066] Figure 3 It is a flowchart of obtaining the accumulated exercise fatigue of a person with corresponding identity information within a preset time before using a water resistance rowing machine in another embodiment of the present application.

[0067] Figure 4 is located in Figure 2 The illustrated embodiment is a flowchart of one embodiment of the steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue, and before selecting the default use mode of the water resistance rowing machine with the highest probability.

[0068] Figure 5 is located in Figure 2 The illustrated embodiment is a flowchart of one embodiment of the steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue, and before selecting the default use mode of the water resistance rowing machine with the highest probability.

[0069] Figure 6 is located in Figure 2 The illustrated embodiment is a flowchart of one embodiment of the steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue, and before selecting the default use mode of the water resistance rowing machine with the highest probability.

[0070] Figure 7 It is a flowchart diagram of another embodiment of the present application, which is a step after analyzing and determining the default use mode of the water resistance rowing machine and before executing the default use mode of the water resistance rowing machine.

[0071] Figure 8 It is a flowchart of another embodiment of the present application for analyzing and obtaining the number of calories that a person using a water resistance rowing machine is expected to consume during this use of the water resistance rowing machine.

[0072] Fig. 9 This is a schematic diagram of a process for obtaining calories consumed per unit time by a person participating in different types of sports using a water resistance rowing machine according to another embodiment of the present application.

[0073] Fig.10 It is a system block diagram of an intelligent control system for a water-resistance rowing machine according to an embodiment of the present application.

[0074] In the figure, 1. Acquisition module; 2. Analysis and determination module; 3. Execution module. DETAILED DESCRIPTION

[0075] The present application is further described in detail below in conjunction with the accompanying drawings.

[0076] Reference Figure 1 , is an intelligent control method for a water resistance rowing machine disclosed in the present application, comprising:

[0077] Step S100, obtaining identity information of a person using the water resistance rowing machine.

[0078] Among them, the identity information of the person using the water resistance rowing machine can be identified and obtained through fingerprint recognition or face recognition.

[0079] Step S200, analyzing and determining the default use mode of the water resistance rowing machine according to the correspondence between the personal identity information and the default use mode of the water resistance rowing machine.

[0080] Among them, the default usage modes of the water resistance rowing machine include but are not limited to the following modes: calorie mode, distance mode, and time mode.

[0081] The analysis and determination of the default usage mode of the water resistance rowing machine is as follows: taking the personal identity information as the query object, the default usage mode of the water resistance rowing machine is queried and obtained from a preset database storing the correspondence between the personal identity information and the default usage mode of the water resistance rowing machine.

[0082] Step S300, executing the default use mode of the water resistance rowing machine.

[0083] The implementation principle of this embodiment is as follows:

[0084] After confirming the identity information of the person using the water resistance rowing machine, the corresponding default usage mode will be matched according to the identity information of the corresponding person, and the corresponding default usage mode will be executed, reducing the trouble of the corresponding person's selection.

[0085] exist Figure 1 In step S200, it is further considered that when analyzing and determining the default use mode of the water resistance rowing machine, the exercise fatigue of the person on that day should also be considered. Therefore, it is necessary to further analyze and determine the default use mode of the water resistance rowing machine. For details, refer to Figure 2 The illustrated embodiment is described in detail.

[0086] Reference Figure 2 According to the corresponding relationship between the personnel identity information and the default usage mode of the water resistance rowing machine, the default usage mode of the water resistance rowing machine is analyzed and determined to include:

[0087] Step S210, obtaining the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine.

[0088] Among them, the cumulative exercise fatigue is mainly evaluated by the heart rate change index during exercise. The cumulative exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine can be detected by a wearable device to obtain the cumulative exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine. The wearable device can be a sports watch or a sports bracelet.

[0089] Step S220, based on the probability distribution information of the default usage mode of the water resistance rowing machine selected by the person with the corresponding identity information in different cumulative exercise fatigue intervals, analyze and determine the probability distribution information of the default usage mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current cumulative exercise fatigue, and select the default usage mode of the water resistance rowing machine with the highest probability as the default usage mode of the water resistance rowing machine determined by this analysis.

[0090] Among them, the analysis of the probability distribution information of the default usage mode of the water resistance rowing machine selected by the corresponding identity information person under the current cumulative exercise fatigue is determined as follows: taking the identity information person and the current identity information as common query objects, from a preset database storing the probability distribution information of the default usage mode of the water resistance rowing machine selected by the corresponding identity information person in different cumulative exercise fatigue intervals, the probability distribution information of the default usage mode of the water resistance rowing machine selected by the corresponding identity information person under the current cumulative exercise fatigue is queried to obtain.

[0091] The implementation principle of this embodiment is as follows:

[0092] The accumulated exercise fatigue of the person using the water resistance rowing machine on that day is fully considered, and the probability of the person using the water resistance rowing machine selecting the default use mode of the water resistance rowing machine is matched according to the accumulated exercise fatigue, so as to effectively screen out the default mode that is most likely to meet the inclination of the person using the water resistance rowing machine.

[0093] exist Figure 2 In step S210, it is further considered that when determining the accumulated sports fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine, it is necessary to fully consider that the corresponding identity information person may have participated in some sports before using the water resistance rowing machine. Therefore, it is necessary to further analyze the acquisition of the accumulated sports fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine. For details, refer to Figure 3 The illustrated embodiment is described in detail.

[0094] Reference Figure 3 , the acquisition of the accumulated exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine includes:

[0095] Step S211, analyzing whether the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine is obtained. If yes, executing step S212; if no, executing step S213.

[0096] Among them, whether the accumulated exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine is obtained is mainly determined by whether the system receives the accumulated exercise fatigue.

[0097] Step S212, based on the obtained accumulated exercise fatigue degree of the person with the corresponding identity information within the preset time before using the water resistance rowing machine, is used as the accumulated exercise fatigue degree of the person with the corresponding identity information within the preset time before using the water resistance rowing machine this time.

[0098] Among them, the accumulated exercise fatigue of the person with the corresponding identity information obtained within a preset time before using the water resistance rowing machine can be obtained through a wearable device or determined by active input by the person using the water resistance rowing machine.

[0099] Step S213, based on the historical exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine, and the correspondence between different exercise types of the corresponding identity information person and the cumulative fatigue per unit time, analyze and obtain the cumulative exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine.

[0100] Among them, the sports types include football, volleyball, badminton, etc. The sports types and sports time of the corresponding identity information personnel before the time point of using the water resistance rowing machine can be obtained from the preset storage

[0101] The historical exercise type and exercise time of the person with corresponding identity information before the time point of using the water resistance rowing machine can be queried and obtained; the correspondence between different exercise types of the person with corresponding identity information and the accumulated fatigue per unit time can be queried and obtained from a preset database that stores the correspondence between different exercise types of the person with corresponding identity information and the accumulated fatigue per unit time.

[0102] The analysis of the cumulative exercise fatigue of the person with corresponding identity information within the preset time before using the water resistance rowing machine is determined as follows: taking the exercise type and exercise time as query objects, querying and obtaining the cumulative fatigue of the corresponding exercise type from a preset database that stores the correspondence between different exercise types and cumulative fatigue per unit time of the person with corresponding identity information, and adding up the cumulative fatigue of different exercise types one by one, the obtained sum is the cumulative exercise fatigue of the person with corresponding identity information within the preset time before using the water resistance rowing machine.

[0103] Step S214, the analyzed accumulated exercise fatigue, the exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine are sent as notification information to the terminal held by the corresponding identity information person.

[0104] Among them, the terminal held by the person with corresponding identity information can be a mobile phone, a computer, or other communication terminal equipment.

[0105] Step S215, analyzing whether information related to the accumulated exercise fatigue of the corresponding identity information person in the preset time period before using the water resistance rowing machine is received from the corresponding identity information person within the preset time interval. If yes, execute step S216; if not, execute step S217.

[0106] Step S216, taking the information related to the accumulated exercise fatigue of the person with the corresponding identity information within the preset time before using the water resistance rowing machine as the accumulated exercise fatigue of the person with the corresponding identity information within the preset time before using the water resistance rowing machine this time.

[0107] Step S217, taking the accumulated exercise fatigue confirmed by the notification information as the accumulated exercise fatigue of the person with the corresponding identity information within a preset time before using the water resistance rowing machine.

[0108] The implementation principle of this embodiment is as follows:

[0109] In the process of confirming the cumulative exercise fatigue of the person with corresponding identity information within the preset time before using the water resistance rowing machine, the specific method of providing the cumulative exercise fatigue will be determined by fully considering whether the cumulative exercise fatigue can be obtained. In particular, in the case where the cumulative exercise fatigue cannot be obtained, the estimated cumulative exercise fatigue of the person with corresponding identity information will be determined based on the historical exercise type and exercise time of the person with corresponding identity information before the time point of using the water resistance rowing machine, and the exercise fatigue information will be reconfirmed with the person with corresponding identity information to better ensure the accuracy of the obtained exercise fatigue information.

[0110] exist Figure 2 In step S220, after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current cumulative exercise fatigue, it is also necessary to consider the situation where the probability distribution is the same. In this scenario, the use modes with the same probability distribution can be further analyzed based on the relationship between the acquisition mode of the mode with different cumulative exercise fatigue and the probability of the use mode. For details, refer to Figure 4 The illustrated embodiment is described in detail.

[0111] Reference Figure 4A method for intelligently controlling a water resistance rowing machine further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0112] Step SA00, analyzing whether there are usage patterns with the same probability. If yes, executing step SB00; if no, executing step SD00.

[0113] Among them, usage patterns with the same probability can be determined by obtaining through system query.

[0114] Step SB00, analyzing the acquisition mode of the cumulative exercise fatigue, wherein the acquisition mode of the cumulative exercise fatigue includes direct acquisition and indirect analysis acquisition.

[0115] Among them, direct acquisition refers to that the cumulative exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine is directly obtained through the system, and indirect analysis acquisition refers to determining the estimated cumulative exercise fatigue of the corresponding identity information person based on the historical exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine.

[0116] Step SC00, according to the corresponding relationship between the acquisition mode of the cumulative exercise fatigue mode and the probability of selecting the use mode, the selection probability of the use mode is analyzed and determined, and the use mode with a higher selection probability is selected as the default use mode of the water resistance rowing machine with the highest probability.

[0117] Among them, the analysis of the selection probability of the usage mode is determined as follows: taking the acquisition mode of the cumulative motion fatigue mode as the query object, querying the selection probability of the usage mode from a preset database that stores the correspondence between the acquisition mode of the cumulative motion fatigue mode and the selection probability of the usage mode.

[0118] Step SD00, execute subsequent steps.

[0119] exist Figure 2 In step S220, after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current cumulative exercise fatigue, it is also necessary to consider the situation where the probability distribution is the same. In this scenario, the use modes with the same probability distribution can be further analyzed based on the relationship between the time period of the time node of using the water resistance rowing machine and the probability of using the mode selection. For details, refer to Figure 5 The illustrated embodiment is described in detail.

[0120] Reference Figure 5A method for intelligently controlling a water resistance rowing machine further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0121] Step Sa00, analyzing whether there is a usage pattern with the same probability. If yes, execute step Sb00; if no, execute step Sd00.

[0122] Among them, usage patterns with the same probability can be determined by obtaining through system query.

[0123] Step Sb00, obtaining the time node of using the water resistance rowing machine.

[0124] Among them, the time node of using the water resistance rowing machine is mainly determined by the time collected by the system.

[0125] Step Sc00, analyzing and determining the selection probability of the usage mode according to the corresponding relationship between different time periods and the selection probability of the usage mode, and selecting the usage mode with a higher selection probability as the default usage mode of the water resistance rowing machine with the highest probability.

[0126] The analysis of the selection probability of the usage mode is determined as follows: the time period in which the time node of using the water resistance rowing machine falls is used as the query object, and the selection probability of the usage mode is obtained by querying from a preset database storing the corresponding relationship between different time periods and the selection probability of the usage mode.

[0127] Step Sd00, execute subsequent steps.

[0128] exist Figure 2 In step S220, after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current accumulated sports fatigue, it is also necessary to consider the situation where the probability distribution is the same. In this scenario, according to the relationship between the time period of the time node of using the water resistance rowing machine and the probability of using the mode selection, and the relationship between the acquisition mode of the mode of different accumulated sports fatigue and the probability of using the mode, the use modes with the same probability distribution can be further analyzed. For details, refer to Figure 6 The illustrated embodiment is described in detail.

[0129] Reference Figure 6 A method for intelligently controlling a water resistance rowing machine further includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability:

[0130] Step S201: Analyze whether there are usage patterns with the same probability. If yes, execute step S202; if no, execute step S206.

[0131] Among them, usage patterns with the same probability can be determined by obtaining through system query.

[0132] Step S202, obtaining the time node of using the water resistance rowing machine and the acquisition mode of the accumulated exercise fatigue, wherein the acquisition mode of the accumulated exercise fatigue includes direct acquisition and indirect analysis acquisition.

[0133] Among them, the time node of using the water resistance rowing machine is mainly determined by the time collected by the system.

[0134] Among them, direct acquisition refers to that the cumulative exercise fatigue of the corresponding identity information person within the preset time before using the water resistance rowing machine is directly obtained through the system, and indirect analysis acquisition refers to determining the estimated cumulative exercise fatigue of the corresponding identity information person based on the historical exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine.

[0135] Step S203 , analyzing and determining the first selection probability of the usage mode according to the corresponding relationship between the acquisition mode of the cumulative motion fatigue mode and the selection probability of the usage mode.

[0136] Among them, step S203 is similar to step SC00 and will not be described in detail here.

[0137] Step S204: Analyze and determine the second selection probability of the usage mode according to the corresponding relationship between different time periods and the selection probability of the usage mode.

[0138] Among them, step S204 is similar to step Sc00 and will not be described again here.

[0139] Step S205: Analyze and obtain the effective selection probability of the usage mode according to the first selection probability of the usage mode and the second selection probability of the usage mode, and select the usage mode corresponding to the highest effective selection probability as the default usage mode of the water resistance rowing machine with the highest probability.

[0140] The analysis of the effective selection probability of the usage mode is obtained as follows: the first selection probability of each usage mode is added to the second selection probability of the corresponding usage mode, and half of the sum is the effective selection probability of the corresponding usage mode.

[0141] Step S206, execute subsequent steps.

[0142] exist Figure 1In step S200 and step S300, it is further considered that before executing the default use mode of the water resistance rowing machine, the number of units of this exercise can be effectively determined, so as to ensure that the subsequent users of the water resistance rowing machine can directly determine the number of units of this exercise when exercising with the water resistance rowing machine. Figure 7 The illustrated embodiment is described in detail.

[0143] Reference Figure 7 A method for intelligently controlling a water resistance rowing machine further includes steps after analyzing and determining a default use mode of the water resistance rowing machine and before executing the default use mode of the water resistance rowing machine, specifically as follows:

[0144] Step S301, obtaining the daily calories planned by the identity information of the person using the water resistance rowing machine and the calories consumed before the water resistance rowing machine is used on the day.

[0145] Among them, the daily calories planned according to the identity information of the person using the water resistance rowing machine can be queried and obtained from a preset database that stores the daily calories planned according to the identity information of the person using the water resistance rowing machine, and the calories consumed before using the water resistance rowing machine on that day can be recorded and obtained through a wearable device.

[0146] Step S302, analyzing and obtaining the number of calories that the user of the water resistance rowing machine is expected to consume in this use of the water resistance rowing machine based on the daily calories planned by the user of the water resistance rowing machine and the calories consumed before the user of the water resistance rowing machine uses the water resistance rowing machine on that day.

[0147] Among them, the analysis of the number of calories that the person using the water resistance rowing machine is expected to consume in this use of the water resistance rowing machine is obtained as follows: the calories planned for the day are taken as the minuend, and the calories consumed before the use of the water resistance rowing machine on the day are taken as the subtrahend, and the difference obtained is the number of calories that the person using the water resistance rowing machine is expected to consume in this use of the water resistance rowing machine.

[0148] Step S303, analyzing and determining a specific unit number based on the estimated number of calories consumed by the user of the water resistance rowing machine during this use of the water resistance rowing machine and the unit calorie consumption of the user of the water resistance rowing machine in different modes, and adding the unit number to the default usage mode.

[0149] Among them, unit calorie consumption refers to the calorie consumption under different default modes. For example, if the default mode is distance, then the unit calorie consumption is the calorie consumption per unit distance. For example, if the default mode is time, then the unit calorie consumption is the calorie consumption per unit time.

[0150] Reference Figure 8The estimated calorie consumption of the water resistance rowing machine includes:

[0151] Step S303.1, analyzing and obtaining the motion planning information of the person using the water resistance rowing machine after using the water resistance rowing machine.

[0152] The motion planning information of the person using the water resistance rowing machine after using the water resistance rowing machine can be obtained by querying from a preset database storing the motion planning information of the person using the water resistance rowing machine after using the water resistance rowing machine.

[0153] Step S303.2, analyzing and determining the estimated calorie consumption of the person using the water resistance rowing machine after using the water resistance rowing machine based on the exercise type and time consumption corresponding to the exercise planning information of the person using the water resistance rowing machine after using the water resistance rowing machine, and the calorie consumption per unit time of the person using the water resistance rowing machine participating in different types of exercises.

[0154] Among them, the analysis of the expected calorie consumption of a person using the water resistance rowing machine after using the water resistance rowing machine is determined as follows: taking the exercise type and time consumption corresponding to the exercise planning information of the person using the water resistance rowing machine after using the water resistance rowing machine as query objects, querying from a preset database that stores the calories consumed per unit time by people using the water resistance rowing machine participating in different types of exercises to obtain the calories consumed for each exercise.

[0155] Step S303.3, based on the estimated calorie consumption of the person using the water resistance rowing machine after using the water resistance rowing machine, the daily calories planned by the person using the water resistance rowing machine, and the calories consumed before using the water resistance rowing machine on the day, analyze and obtain the estimated number of calories consumed by the person using the water resistance rowing machine during this use of the water resistance rowing machine.

[0156] Among them, the analysis of the number of calories that the person using the water resistance rowing machine is expected to consume during this use of the water resistance rowing machine is obtained as follows: the daily calories planned by the person using the water resistance rowing machine is taken as the minuend, and the sum of the calories consumed by the person using the water resistance rowing machine after using the water resistance rowing machine and the calories consumed before using the water resistance rowing machine on the same day is taken as the subtrahend, and the difference obtained is the number of calories that the person using the water resistance rowing machine is expected to consume during this use of the water resistance rowing machine.

[0157] exist Figure 8 In step S303.2, it is further considered that once the exercise participated by the person using the water resistance rowing machine is outdoor exercise, it will be affected by the weather environment and the calorie consumption will also be different, so further analysis is required, specifically referring to Fig. 9 The illustrated embodiment is described in detail.

[0158] Reference Fig. 9 The calories burned per unit time by people using water resistance rowing machines for different types of exercise include:

[0159] Step S303.21, obtaining whether the sport participated by the person using the water resistance rowing machine is outdoor sport. If yes, executing step S303.22; if no, executing step S303.25.

[0160] Among them, whether the sport participated by the person using the water resistance rowing machine is an outdoor sport is obtained as follows: taking the sport participated by the person using the water resistance rowing machine as the query object, querying from a preset database storing outdoor sports whether the corresponding sport is an outdoor sport.

[0161] Step S303.22, then obtain the predicted external weather information for the time period when the person using the water resistance rowing machine participates in the exercise.

[0162] Among them, the predicted external weather information for the time period when people using the water resistance rowing machine participate in the exercise can be obtained by querying the external weather information for a period of time in the future through crawler technology. The external weather information includes but is not limited to rainy and typhoon weather.

[0163] Step S303.23, analyzing and obtaining the influence of outdoor sports under the predicted external environment according to the predicted external weather information and the corresponding relationship between the influence of different external weather information and outdoor sports.

[0164] Among them, the impact of outdoor sports under the predicted external environment is the coefficient that affects calories; the analysis of the impact of outdoor sports under the predicted external environment is obtained as follows: taking the predicted external weather information as the query object, query and obtain the impact of outdoor sports under the predicted external environment from a preset database that stores the corresponding relationship between the impact of outdoor sports under different external weather information.

[0165] For example, if the impact is 10%, if the general unit calorie is 10 calories / minute, then the calorie this time is 11 calories / minute.

[0166] Step S303.24, based on the predicted impact of outdoor sports under the external environment and the preset calories consumed per unit time by people using the water resistance rowing machine to participate in different types of sports, analyze and obtain

[0167] The predicted calories consumed per unit time for the corresponding type of exercise under the external environment is used as the calories consumed per unit time for the person using the water resistance rowing machine to participate in the corresponding type of exercise.

[0168] Among them, the analysis of the calories consumed per unit time of the corresponding type of exercise under the predicted external environment is obtained as follows: the impact of outdoor exercise under the predicted external environment is multiplied by the calories consumed per unit time of people participating in different types of exercise using the preset water resistance rowing machine, and the product obtained is the calories consumed per unit time of the corresponding type of exercise under the predicted external environment.

[0169] Step S303.25, the preset calories consumed per unit time by the person using the water resistance rowing machine to participate in different types of sports are used as the calories consumed per unit time by the person using the water resistance rowing machine to participate in different types of sports.

[0170] Reference Fig.10 The embodiment of the present application also provides an intelligent control system for a water-resistance rowing machine, including:

[0171] An acquisition module 1 is used to acquire the identity information of a person using the water resistance rowing machine;

[0172] Analysis and determination module 2, used for analyzing and determining the default use mode of the water resistance rowing machine according to the correspondence between the personnel identity information and the default use mode of the water resistance rowing machine;

[0173] The execution module 3 is used to execute the default use mode of the water resistance rowing machine.

[0174] The embodiments of this specific implementation method are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Therefore, all equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent control method for a water-resistance rowing machine, characterized in that: include: Obtaining the identity of the person using the water resistance rowing machine; Analyze and determine the default usage mode of the water resistance rowing machine according to the correspondence between the personnel identity information and the default usage mode of the water resistance rowing machine; Execute the default use mode of the water resistance rower; According to the correspondence between the personal identity information and the default usage mode of the water resistance rowing machine, the default usage mode of the water resistance rowing machine is analyzed and determined to include: Obtain the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine; According to the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person in different cumulative exercise fatigue intervals, the probability distribution information of the default use mode of the water resistance rowing machine selected by the corresponding identity information person at the current cumulative exercise fatigue is analyzed and determined, and the default use mode of the water resistance rowing machine with the highest probability is selected as the default use mode of the water resistance rowing machine determined by this analysis; The accumulated exercise fatigue of the person who obtains the corresponding identity information within the preset time before using the water resistance rowing machine includes: Analyze whether the accumulated exercise fatigue of the person with corresponding identity information within a preset time before using the water resistance rowing machine; If yes, then the accumulated exercise fatigue degree of the person with the corresponding identity information in the preset time before using the water resistance rowing machine is used as the accumulated exercise fatigue degree of the person with the corresponding identity information in the preset time before using the water resistance rowing machine; If not, then according to the historical exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine, and the correspondence between different exercise types of the corresponding identity information person and the accumulated fatigue degree per unit time, analyze and obtain the accumulated exercise fatigue degree of the corresponding identity information person within the preset time before using the water resistance rowing machine; The accumulated exercise fatigue degree obtained through analysis, the exercise type and exercise time of the corresponding identity information person before the time point of using the water resistance rowing machine are sent as notification information to the terminal held by the corresponding identity information person; Analyze whether there is information related to the accumulated exercise fatigue of the corresponding identity information person in the preset time period before using the water resistance rowing machine fed back by the corresponding identity information person within the preset time interval; If yes, then the information related to the accumulated exercise fatigue of the corresponding identity information person in the preset time before using the water resistance rowing machine is used as the accumulated exercise fatigue of the corresponding identity information person in the preset time before using the water resistance rowing machine this time; If not, the accumulated exercise fatigue degree confirmed by the notification information will be used as the accumulated exercise fatigue degree of the person with the corresponding identity information within the preset time before using the water resistance rowing machine.

2. The intelligent control method of a water resistance rowing machine according to claim 1, characterized in that: The method also includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability: Analyze whether there are usage patterns with the same probability; If yes, then analyzing the acquisition mode of the cumulative sports fatigue, wherein the acquisition mode of the cumulative sports fatigue includes direct acquisition and indirect analysis acquisition; According to the corresponding relationship between the acquisition mode of the cumulative exercise fatigue mode and the probability of selecting the use mode, the selection probability of the use mode is analyzed and determined, and the use mode with a selection probability higher than all other optional use modes is selected as the default use mode of the water resistance rowing machine with the highest probability; If not, execute the next steps.

3. The intelligent control method of a water resistance rowing machine according to claim 1, characterized in that: The method also includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability: Analyze whether there are usage patterns with the same probability; If yes, then obtain the time node of using the water resistance rowing machine; According to the corresponding relationship between different time periods and the selection probability of the usage mode, the selection probability of the usage mode is analyzed and determined, and the usage mode with a selection probability higher than all other optional usage modes is selected as the default usage mode of the water resistance rowing machine with the highest probability; If not, execute the next steps.

4. The intelligent control method of a water resistance rowing machine according to claim 1, characterized in that: The method also includes the following steps after analyzing and determining the probability distribution information of the default use mode of the water resistance rowing machine selected by the person with the corresponding identity information under the current accumulated exercise fatigue and before selecting the default use mode of the water resistance rowing machine with the highest probability: Analyze whether there are usage patterns with the same probability; If yes, then obtaining the time node of using the water resistance rowing machine and the acquisition mode of the accumulated exercise fatigue, wherein the acquisition mode of the accumulated exercise fatigue includes direct acquisition and indirect analysis acquisition; Analyze and determine the first selection probability of the use mode according to the corresponding relationship between the acquisition mode of the cumulative sports fatigue mode and the selection probability of the use mode; Analyze and determine the second selection probability of the usage mode according to the corresponding relationship between different time periods and the selection probability of the usage mode; Analyze and obtain the effective selection probability of the use mode according to the first selection probability of the use mode and the second selection probability of the use mode, and select the use mode corresponding to the highest effective selection probability as the default use mode of the water resistance rowing machine with the highest probability; If not, execute the next steps.

5. The intelligent control method of a water resistance rowing machine according to any one of claims 1 to 4, characterized in that: The method also includes the following steps after analyzing and determining the default usage mode of the water resistance rowing machine and before executing the default usage mode of the water resistance rowing machine: Obtain the daily calories planned by the identity information of the person using the water resistance rowing machine and the calories consumed on that day before the water resistance rowing machine was used; According to the daily calories planned by the person using the water resistance rowing machine and the calories consumed before using the water resistance rowing machine on that day, the number of calories that the person using the water resistance rowing machine is expected to consume during this use of the water resistance rowing machine is analyzed and obtained; Based on the estimated number of calories that the user of the water resistance rowing machine will consume during this use of the water resistance rowing machine and the unit calorie consumption of the user of the water resistance rowing machine in different modes, the specific unit number is analyzed and determined, and the unit number is added to the default usage mode.

6. The intelligent control method of a water resistance rowing machine according to claim 5, characterized in that: The estimated number of calories burned by a person using the water resistance rowing machine includes: Analyze and obtain the motion planning information of people who use the water resistance rowing machine after using the water resistance rowing machine; Analyze and determine the estimated calorie consumption of the person using the water resistance rowing machine after using the water resistance rowing machine based on the exercise type and time corresponding to the exercise planning information of the person using the water resistance rowing machine after using the water resistance rowing machine, and the calorie consumption per unit time of the person using the water resistance rowing machine participating in different types of exercise; The estimated number of calories consumed by the person using the water resistance rowing machine after using the water resistance rowing machine, the planned daily calories consumed by the person using the water resistance rowing machine, and the calories consumed before using the water resistance rowing machine on the day are analyzed to obtain the estimated number of calories consumed by the person using the water resistance rowing machine during this use of the water resistance rowing machine.

7. The intelligent control method of a water resistance rowing machine according to claim 6, characterized in that: The calories burned per unit time for different types of exercise by people using water resistance rowing machines include: Obtain whether the sport that the person who uses the water resistance rowing machine participates in is an outdoor sport; If yes, then obtain the predicted external weather information for the time period when the person using the water resistance rowing machine participates in the exercise; According to the predicted external weather information and the corresponding relationship between the influence of different external weather information and outdoor sports, the influence of outdoor sports under the predicted external environment is analyzed and obtained; According to the predicted impact of outdoor sports in the external environment and the calories consumed per unit time by people using water resistance rowing machines participating in different types of sports, the results are analyzed and obtained. The predicted calories consumed per unit time of the corresponding type of exercise in the external environment is used as the calories consumed per unit time of the person using the water resistance rowing machine participating in the corresponding type of exercise; If not, the preset calories consumed per unit time when the person using the water resistance rowing machine participates in different types of sports will be used as the calories consumed per unit time when the person using the water resistance rowing machine participates in different types of sports.

8. An intelligent control system for a water-resistance rowing machine, characterized in that: The method according to any one of claims 1 to 7 comprises: An acquisition module (1) is used to acquire identity information of a person using the water resistance rowing machine; An analysis and determination module (2) is used to analyze and determine the default usage mode of the water resistance rowing machine according to the corresponding relationship between the personnel identity information and the default usage mode of the water resistance rowing machine; The execution module (3) is used to execute the default use mode of the water resistance rowing machine.

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