A method, system and device for evaluating the strength of a rower based on a paddle and a multi-dimensional hydrodynamic database

Abstract

The application discloses a kind of rowing athlete force evaluation method, system and equipment based on paddle and multidimensional hydrodynamic database, the method therein includes: S1: database construction: control water flow velocity, paddle and water flow direction angle, paddle immersion depth and paddle orientation, complete the pressure data acquisition of paddle under different working conditions, and constitute database;S2: kinematic data acquisition: by arranging measuring unit on real boat, to obtain the speed of boat, paddle speed, paddle and water flow direction angle and paddle immersion depth in training;S3: database retrieval: the corresponding data in database is retrieved to the data collected, and relevant dynamic data is obtained;S4: visual output: calculate the real-time power of athlete paddle, real-time speed, real-time position, and carry out visual display, to realize real-time detection of technical state.

Description

Technical Field

[0001] This disclosure relates to the field of sports equipment technology, specifically to a method, system, and equipment for assessing the strength of rowing athletes. Background Technology

[0002] Rowing, a cyclical water sport highly dependent on technical coordination, power output efficiency, and rhythm control, relies on the athlete's ability to efficiently convert muscle work into propulsion through the oars. Research indicates that stroke power is one of the most critical biomechanical indicators for assessing a rower's competitive level, technical efficiency, and training status. High power output not only directly correlates with boat speed but also reflects deeper technical characteristics such as the athlete's timing of force application, lateral coordination, water entry and catch efficiency, and energy conversion rate. Therefore, high-precision, real-time, and reproducible monitoring of stroke power has become a core component of modern scientific rowing training systems.

[0003] Rowing biomechanical monitoring technology has evolved through multiple generations, progressing from early mechanical force measurement to integrated, wireless intelligent sensing systems. Initially, the technology relied on strain gauges installed at the propeller plug to measure propulsion force. While this provided basic propeller force data, it had limitations such as bulky equipment, the need to modify existing structures, and difficulty in distinguishing between water flow disturbances and actual force exertion. Subsequent developments included miniature electronic propeller force testing devices combined with potentiometers to measure propeller angle, enabling preliminary power calculations and real-time onboard display, thus promoting immediate training feedback.

[0004] Since the beginning of the 21st century, two-dimensional force sensors on the propeller plug or handle have been widely adopted, integrating magnetometers, GPS, and Bluetooth communication technologies. These sensors can output key indicators such as propeller pull power, entry / exit slippage, and propeller angle, supporting data analysis via mobile apps and significantly improving the scientific rigor of training and monitoring. Chinese research institutions have also been independently developing real-ship biomechanical testing systems since 2006. Initially, two-dimensional crossbeam strain sensors were used to measure the force on the propeller plug; by 2017, this was upgraded to a handle force sensing solution, greatly improving the system's usability and real-time performance. It is now widely used in national and provincial rowing teams at all levels.

[0005] Despite the increasing maturity of existing technologies in engineering implementation, the following shortcomings still exist: 1. Reliance on actual paddle force measurement structure, highly invasive: Whether it is measuring the force of the paddle plug, paddle handle or foot pedal, a special force sensor must be installed. There are many structures added to the racing boat and paddle blades, which affects the athlete's technical feel. In addition, the maintenance cost is high and the durability is limited. 2. Difficulty in separating environmental interference: In actual boat testing, environmental variables such as water flow speed, waves, and boat sway are highly coupled with the athlete's force, making it difficult to reproduce the collected data and establish a standardized mechanical model; 3. Ignoring the crucial role of blade immersion depth: Existing systems generally treat the blade as a whole force-bearing unit and do not include "blade immersion depth" as an independent variable in the power calculation model. However, in actual paddling, "shallow stroke" and "deep stroke" have a significant impact on propulsion efficiency. 4. Lack of prior hydrodynamic database support: All calculations are based on measured pressure or force values. A blade response database covering all working conditions (flow velocity, blade angle, immersion depth, blade orientation) has not been constructed through controlled experiments, resulting in weak model generalization ability. 5. Lagging data transmission and visualization capabilities: Most systems rely on Bluetooth or short-range Wi-Fi to transmit data to the onboard display devices, making it difficult for instructors to obtain real-time synchronized data from multiple racing boats on the training boat; although some systems support GPS and APP playback, they lack 5G high-speed transmission and real-time visualization capabilities that integrate "position-power-speed", making it impossible to achieve full-domain dynamic monitoring.

[0006] In recent years, the maturity of 5G communication, high-precision GPS, low-power IMU, and edge computing chips has provided a new technological path for rowing training monitoring. However, existing systems have not yet effectively integrated 5G+GPS+online database mapping+real-time visualization capabilities on mobile devices. In particular, there is a lack of a closed-loop system that can complete IMU data parsing, database mapping, and power inversion locally on the boat, and simultaneously push key indicators such as the athlete's real-time surface position, instantaneous power, and boat speed to the coach's mobile app via the 5G network.

[0007] Therefore, there is an urgent need for a new force assessment method that does not require a real paddle pressure sensor, does not rely on a complex force measurement structure, can decouple from environmental interference, and can accurately map the actual force application state. It should also be equipped with an integrated monitoring platform that supports 5G high-speed backhaul, GPS precise positioning, onboard edge intelligence, and real-time visualization on mobile devices, so as to achieve a fundamental shift in rowing training from "experience-driven" to "data-driven". Summary of the Invention

[0008] According to the present invention, a method for evaluating the strength of rowing athletes based on paddle blades and a multidimensional hydrodynamic database is proposed, characterized in that the method includes: S1: Build the database: By controlling the water flow velocity, the angle between the propeller and the water flow direction, the immersion depth of the propeller blades, and the orientation of the propeller blades, pressure data of the propeller blades under different working conditions is collected and a database is constructed. S2: Kinematic data acquisition: By arranging measurement units on the actual boat, the boat speed, propeller speed, angle between the propeller shaft and the water flow direction, and propeller blade immersion depth during training were obtained. S3: Database Retrieval The collected data is retrieved from the database to obtain the relevant dynamic data; S4: Visualization Output: The system calculates and visualizes the athlete's paddle blade power, speed, and position in real time to enable real-time monitoring of their technical condition.

[0009] Furthermore, when constructing the database, a support is used to simulate the fulcrum of the paddle in a controlled flowing water pool. Sensors are set at the fulcrum and the grip area of ​​the paddle handle to monitor the angle between the paddle handle and the direction of the water flow, the pressure distribution on the left and right sides of the fulcrum, and the pressure on the grip side of the athlete.

[0010] Furthermore, when constructing the database, the collected data includes water flow velocity, angle between the propeller and the water flow direction, propeller blade immersion depth, propeller blade orientation, pressure on the left side of the fulcrum, pressure on the right side of the fulcrum, pressure on the left side of the handle, and pressure on the right side of the handle.

[0011] Furthermore, during kinematic data acquisition, a measuring unit is installed on the hull to obtain the real-time speed of the hull, and measuring units are installed in the grip areas of the left and right propellers to obtain the Y-axis deflection angle of the propeller shaft. Z-axis rotation angle and Z-axis acceleration .

[0012] Furthermore, the measurement unit includes an IMU.

[0013] Furthermore, the hull is equipped with a positioning unit and a communication module to transmit hull data to a cloud server. The positioning unit is a GPS / 5G module that integrates a Beidou and / or GPS positioning unit with a 5G communication module to transmit hull data to the cloud server.

[0014] Furthermore, the kinematic data acquisition includes key parameter calculation, which includes blade immersion depth estimation, and the blade immersion depth estimation includes: Pre-marking: In still water, record the Z-axis height of the measuring unit when the paddle handle is horizontal to the water surface and perpendicular to the long axis of the hull. During the paddling process, the current blade entry depth is estimated by using the Y-axis angle change calculation and the Z-axis acceleration integral fusion phase recognition. ,in The height corresponding to the full immersion depth. The blade displacement is calculated by integrating the measurement unit along the Z-axis and fusing the deflection angle around the Y-axis. Calculate the linear velocity of the left propeller handle relative to the hull. : Where L2 is the distance from the fulcrum to the measuring unit of the handle grip area. The instantaneous angular velocity of the blade; Similarly, calculate the linear velocity of the right propeller crank relative to the hull. ; Boat speed calculation: The Y-axis acceleration of the measurement unit is low-pass filtered and integrated, and then fused with the velocity of the positioning unit for zero-speed correction to output a stable boat speed. .

[0015] Furthermore, during database retrieval, latitude and longitude, timestamp, boat speed, blade angle, and propeller speed are packaged and uploaded every 100ms, and the data is mapped in real time. Theoretical handle pressure is obtained from the difference between the boat speed and blade angle.

[0016] Furthermore, during visualization output, the instantaneous power of the left propeller is calculated using power-time curves, velocity curves, and left-right propeller comparison data. and the instantaneous power of the right propeller The instantaneous power of the left propeller : The calculation for the right propeller is the same as for the left propeller. Simultaneous calculation of left-right coordination score : Automatically generated technical briefing: Left and right propeller delay data and adjustment suggestions.

[0017] According to the present invention, a rowing athlete strength assessment system based on paddle blades and a multidimensional hydrodynamic database is proposed, characterized in that it includes: The data storage module is used for multi-dimensional mechanical response data under various working conditions, and supports multi-dimensional indexing and fast difference query. The sensor module is used to collect the hull motion status and propeller kinematic parameters in real time; The terminal module is used to load relevant data from the data storage module, monitor position, power, hull speed, etc. in real time, and generate technical briefings.

[0018] According to the present invention, a rowing athlete strength assessment device based on paddle blades and a multidimensional hydrodynamic database is proposed, characterized in that: it includes a memory and a processor, wherein the memory stores relevant data, and the processor executes to implement the rowing athlete strength assessment method based on paddle blades and a multidimensional hydrodynamic database.

[0019] This rowing athlete strength assessment method, system, and equipment, based on paddle blades and a multi-dimensional hydrodynamic database, boasts significant advantages such as high precision, real-time performance, and non-invasiveness. By constructing a hydrodynamic database covering multiple parameters including different water flow velocities, immersion depths, and paddle blade angles, the system can accurately match working conditions during actual rowing. It uses the dynamic database to invert the effective pull and instantaneous power applied by the athlete to the paddle blades. Compared to traditional solutions relying on complex force measuring devices or invasive sensors, this invention deploys high-precision measurement units, positioning units, and communication modules at key locations on the paddle handle and hull. It collects paddle blade attitude, hull motion, and geographical location data in real time, uploads the data to the cloud, and automatically calls upon the database to complete mechanical parameter matching and power calculation, significantly simplifying the data acquisition process. The system can also display key indicators such as the athlete's position, boat speed, left and right power distribution, and technical efficiency through visual output, providing coaches with intuitive and dynamic training feedback. This solution eliminates the need to install numerous strain gauges or underwater sensors on the paddle blades, significantly reducing equipment costs and maintenance difficulty, while simultaneously improving the feasibility and accuracy of on-water training data acquisition. Overall, this invention achieves efficient integration and analysis of dynamics and kinematic parameters in rowing, providing reliable, low-cost, and widely applicable technical support for athlete technical diagnosis, left-right coordination assessment, and scientific training. Attached Figure Description

[0021] To more clearly illustrate the technical solutions and advantages in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This diagram illustrates a block diagram of a rowing athlete strength assessment system based on propeller blades and a multidimensional hydrodynamic database according to an embodiment of the present disclosure. Figure 2 A schematic diagram of a controllable flow rate water tank according to an embodiment of the present disclosure is shown; Figure 3 A schematic diagram of a measurement unit arranged on a real boat according to an embodiment of the present disclosure is shown; Figure 4 A flowchart of a water treatment method according to Embodiment 1 of this disclosure is shown; Figure 5 A functional schematic diagram of the visual output according to an embodiment of the present disclosure is shown; Figure 6 A flowchart is shown of a rowing athlete strength assessment method based on a paddle and multidimensional hydrodynamic database according to an embodiment of the present disclosure. Detailed Implementation

[0023] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0025] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0026] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0027] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0028] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0029] Please refer to the attached instruction manual. Figure 1 and 6 It illustrates a flowchart of a rowing athlete strength assessment method based on paddle blades and a multidimensional hydrodynamic database, as provided in an embodiment of this disclosure. Figure 1 As shown, this method for assessing the strength of rowers based on paddle blades and a multidimensional hydrodynamic database includes: S1: Build the database: By controlling the water flow velocity, the angle between the propeller and the water flow direction, the immersion depth of the propeller blades, and the orientation of the propeller blades, pressure data of the propeller blades under different working conditions is collected and a database is constructed. S2: Kinematic data acquisition: By arranging measurement units on the actual boat, the boat speed, propeller speed, angle between the propeller shaft and the water flow direction, and propeller blade immersion depth during training were obtained. S3: Database Retrieval The collected data is retrieved from the database to obtain the relevant dynamic data; S4: Visualization Output: The system calculates and visualizes the athlete's paddle blade power, speed, and position in real time to enable real-time monitoring of their technical condition.

[0030] In one embodiment, when building the database, a support is used to simulate the fulcrum of the paddle in a controlled flowing water pool. Sensors are set at the fulcrum and the paddle grip area to monitor the angle between the paddle bar and the direction of water flow, the pressure distribution on the left and right sides of the fulcrum, and the pressure on the athlete's grip side.

[0031] like Figure 2 As shown, specifically, a controllable flow rate water tank A with a length ≥10m and a width ≥4m is used. The water flow direction remains constant along the long side of the water tank. A rigid lever bracket is fixed to the side wall of the water tank to simulate the fulcrum C of a rowing paddle. The height of fulcrum C can be set to be adjustable to accommodate different paddle models. Paddle blade B is set on the bracket, and paddle blade B simulates the paddling action through a rotatable slide rail bracket F. The fulcrum C is raised and lowered through a height-adjustable bracket E. Sensors are set on both sides of fulcrum C, and sensors are also set on both sides of the handle grip area D.

[0032] Embedded at fulcrum C are a pair of miniature pressure sensors (range 0–1000N, accuracy ±0.5%), used to measure the pressure distribution on the left and right sides of the fulcrum. A pair of opposing pressure sensors are also installed in the grip area of ​​the paddle handle (10cm from the end of the paddle handle) to obtain the pressure on the athlete's grip side.

[0033] The system records the distance from the blade center to the pivot point. Distance from the fulcrum to the sensor (measuring unit) in the handle grip area Blade body length , which serves as the geometric parameter for subsequent torque calculations.

[0034] like Figure 3 As shown, in one embodiment, when constructing the database, the collected data includes the water flow velocity V1(t) and the angle between the paddle and the water flow direction. The blade immersion depth h(t), blade orientation, pressure F1(t) on the left side of the fulcrum, pressure F2(t) on the right side of the fulcrum, pressure F3(t) on the left side of the handle, and pressure F4(t) on the right side of the handle.

[0035] The specific parameter space definition and experimental procedure are as follows: Water flow velocity: increasing from 0 m / s to 10 m / s in increments of 0.1 m / s, with a total of 101 gradients; propeller angle : Defined as the angle between the axis of the propeller shaft and the direction of water flow, increasing from 15° in 1° increments to 165°, for a total of 151 gradients; Paddle immersion depth: Set to 1 / 4, 2 / 4, 3 / 4, and full immersion (4 levels), with precise control over the paddle immersion depth via a vertical lifting mechanism; Blade orientation: positive (concave blade facing the airflow) and negative (convex blade facing the airflow), a total of 2 types; Single-condition sampling: Under each combination of speed, angle, depth, and orientation, after the water flow stabilizes, 10 sets of pressure data are continuously collected (sampling rate ≥ 10Hz), and the average value is taken as the representative value of that condition.

[0036] The database is constructed as follows: Total number of working conditions = 4 (depth) × 2 (orientation) × 151 (angle) × 101 (speed) = 122,008 sets, to form a priori database covering more than 99% of real paddling working conditions; Each set of data includes: water flow velocity. ,angle immersion depth Orientation towards flag, pressure on the left side of the fulcrum Pressure on the right side of the fulcrum Pressure on the left side of the handle Pressure on the right side of the handle ; The database is stored online as structured tables (such as HDF5 or SQLite format), supporting multidimensional indexes and fast interpolation queries.

[0037] Note: This embodiment uses a single propeller type (such as Concept2 Macon) as an example. If other brands / models of propellers need to be adapted, simply repeat the experimental process of this module to build the corresponding model database. In actual boat applications, the database can be automatically switched by entering the propeller type ID through the APP.

[0038] In one embodiment, during kinematic data acquisition, a measuring unit is installed on the hull to obtain the real-time speed of the hull, and measuring units are installed in the grip areas of the left and right propellers to obtain the Y-axis deflection angle of the propeller shaft. Z-axis rotation angle and Z-axis acceleration (The left-side paddle rod is used as an example here).

[0039] As attached Figure 4 As shown, in one embodiment, the measurement unit includes an IMU (Inertial Measurement Unit), which is existing technology and will not be described in detail here. The IMU includes IMU 1 (①), IMU 2 (②), and IMU 3 (③). IMU 1 (①) is installed at the center of gravity of the hull's centerline, with a sampling rate ≥100 Hz. The coordinate system is defined as follows: X-axis points to the port side of the hull, Y-axis points to the bow, and Z-axis is vertically upward. IMU 1 (①) is used to measure the hull's three-axis acceleration and angular velocity, and combined with a filtering algorithm to estimate the hull's real-time velocity. IMU 2 is installed in the left propeller grip area, with a sampling rate ≥100Hz, and is used to obtain the left propeller shaft deflection angle around the Y-axis. Z-axis rotation angle and Z-axis acceleration IMU 3 is installed in the right propeller grip area to synchronously acquire data compared with the left propeller blade. , and .

[0040] As attached Figure 4 and 5 As shown, in one embodiment, the hull is equipped with a positioning unit and a communication module to transmit hull data to a cloud server. The specific installation location is the same as IMU No. 1. The positioning unit is a GPS / 5G module, which integrates a Beidou and / or GPS positioning unit and a 5G communication module to transmit hull data to the cloud server. Preferably, the positioning unit integrates a Beidou + GPS dual-mode positioning unit (positioning accuracy ≤ 1m).

[0041] In one embodiment, the kinematic data acquisition includes the calculation of key parameters, such as the angle of the propeller shaft relative to the hull's major axis: directly obtained through the rotation angles around the Z-axis of IMUs 2 and 3. , .

[0042] The calculation of the key parameters includes the estimation of the blade immersion depth, which includes: Pre-marking: In still water, record that the paddle handle is horizontal to the water surface and perpendicular to the long axis of the boat. Z-axis height of the measurement unit (IMU 2 / 3) at 90° During the paddling process, the current blade entry depth is estimated by using the Y-axis angle change calculation and the Z-axis acceleration integral fusion phase recognition. ,in The height corresponding to the full immersion depth. The blade displacement is calculated by integrating the measurement unit along the Z-axis and fusing the deflection angle around the Y-axis. Calculate the linear velocity of the left propeller handle relative to the hull. : Where L2 is the distance from the fulcrum to the measuring unit of the handle grip area. The instantaneous angular velocity of the blade, Yes Integrate over time to obtain the instantaneous angular velocity of the blade. ; Similarly, calculate the linear velocity of the right propeller crank relative to the hull. ; Boat speed calculation: The Y-axis acceleration from the measurement unit (IMU 1) is low-pass filtered and integrated, and then fused with the GPS velocity for zero-speed correction to output a stable boat speed. .

[0043] As attached Figure 5 As shown, in one embodiment, the visualization output is achieved through a mobile app. The app has the following functions: support for the coach's app, real-time display of the positions of multiple boats (identified by different colors) on the electronic navigation chart, and the ability to display power-time curves, speed curves, and left and right propeller comparison data when clicking on any boat.

[0044] In one embodiment, during database retrieval, latitude and longitude, timestamp, boat speed, blade angle, and propeller speed are packaged and uploaded every 100ms. Data is mapped in real time, and queries are performed using boat speed and blade angle to obtain the theoretical handle pressure from the database difference. In this embodiment, a hydrodynamic database can be locally loaded via an onboard embedded processor (such as an ARM Cortex-A72). Measured boat speed, propeller angle, and immersion depth are used as inputs, and an interpolation algorithm is used to retrieve the theoretical handle pressure distribution under the corresponding working conditions, thereby calculating the effective pulling force applied by the athlete. And combined with the propeller blade linear velocity Calculate the instantaneous power (P=Fv).

[0045] For example, upon system startup, based on the propeller type ID entered in the app, it automatically associates with the multi-dimensional propeller hydrodynamic database from the cloud server. Real-time mapping data is then applied to the left propeller: (…) , (Positive) is used as the query key to obtain the theoretical handle pressure from database interpolation. With fulcrum pressure The same applies to the right paddle.

[0046] In one embodiment, during visualization output, the instantaneous power of the left propeller is calculated using power-time curves, velocity curves, and left-right propeller comparison data. and the instantaneous power of the right propeller The instantaneous power of the left propeller : The calculation for the right propeller is the same as for the left propeller.

[0047] In one embodiment, the left-right coordination score can be calculated simultaneously. : In one embodiment, a technical briefing can be automatically generated, including left and right propeller delay data and adjustment suggestions. For example, "Athlete L407 experienced a 0.12s delay in right propeller entry during the third cycle; adjustment of the catch timing is recommended," or "Entry too shallow." Coaches can view the real-time positions of multiple boats, power curves, and technical suggestions via a mobile app, enabling comprehensive dynamic monitoring and precise on-site guidance.

[0048] In addition, the app supports historical playback, data export (CSV / Excel), and team training report generation.

[0049] This disclosure proposes a rowing athlete strength assessment system based on paddle blades and a multidimensional hydrodynamic database, including a data storage module, a sensor module, and a terminal module.

[0050] In one embodiment, the data storage module (multidimensional blade hydrodynamic database construction module) is used for multidimensional mechanical response data under multiple working conditions, and supports multidimensional indexing and fast difference query. It realizes the mechanical data acquisition of common blade models under different flow rates, angles and depths, and uploads the database to the cloud database.

[0051] In one embodiment, the sensor module (hull kinematics data acquisition module) is used to collect the hull motion state and paddle kinematic parameters in real time. Based on the hull multi-sensor and communication module, it has the ability to collect and transmit multi-dimensional kinematic data of the hull. It can collect data on the real-time speed of the rowing boat, the latitude and longitude of the hull, and the rotation angle of the paddle blades. It can perform localized calculations on the real-time power of the rower's paddle blades and the real-time water penetration depth of the paddle blades, and convert all kinematic data into the format corresponding to the paddle blade hydrodynamic database. Through the 5G communication module, the real-time kinematic data of the rowing boat is transmitted to the cloud server.

[0052] The terminal module (data mapping and display module / intelligent real-time boat data visualization module) is used to load relevant data from the data storage module and monitor position, power, boat speed, etc. in real time, and generate technical reports. Based on real-time rowing kinematic data and a multi-dimensional propeller hydrodynamic cloud database, it maps the actual boat kinematic data on the cloud server to obtain the corresponding propeller dynamic data, and visualizes the calculated real-time propeller power, real-time speed, and real-time position on the water surface.

[0053] This disclosure proposes a rowing athlete strength assessment device based on paddle blades and a multidimensional hydrodynamic database. The device includes a memory and a processor. The memory stores relevant data, and the processor executes the method for assessing rowing athlete strength based on paddle blades and a multidimensional hydrodynamic database.

[0054] In one embodiment, the evaluation data obtained using two athletes as examples is as follows: Form of Individual Indicator Changes under Different Sampling Methods Form of individual indicator changes under different sampling conditions (No. 2) In the description herein, it should be understood that the terms “upper,” “lower,” “front,” “back,” “left,” “right,” “vertical,” “horizontal,” “top,” “bottom,” “inner,” and “outer,” etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention.

[0055] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for assessing the strength of rowing athletes based on paddle blades and a multidimensional hydrodynamic database, characterized in that, The method includes: S1: Build the database: By controlling the water flow velocity, the angle between the propeller and the water flow direction, the immersion depth of the propeller blades, and the orientation of the propeller blades, pressure data of the propeller blades under different working conditions is collected and a database is constructed. S2: Kinematic data acquisition: By arranging measurement units on the actual boat, the boat speed, propeller speed, angle between the propeller shaft and the water flow direction, and propeller blade immersion depth during training were obtained. S3: Database Retrieval The collected data is retrieved from the database to obtain the relevant dynamic data; S4: Visualization Output: The system calculates and visualizes the athlete's paddle blade power, speed, and position in real time to enable real-time monitoring of their technical condition.

2. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 1, characterized in that: When building the database, a support was used to simulate the fulcrum of the paddle in a controlled flowing water pool. Sensors were set at the fulcrum and the grip area of ​​the paddle handle to monitor the angle between the paddle shaft and the direction of the water flow, the pressure distribution on the left and right sides of the fulcrum, and the pressure on the grip side of the athlete.

3. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 2, characterized in that: When building the database, the collected data includes water flow velocity, angle between the propeller and the water flow direction, propeller blade immersion depth, propeller blade orientation, pressure on the left side of the fulcrum, pressure on the right side of the fulcrum, pressure on the left side of the handle, and pressure on the right side of the handle.

4. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 1, characterized in that: During kinematic data acquisition, a measuring unit is installed on the hull to obtain the real-time speed of the hull, and measuring units are installed in the left and right propeller grip areas to obtain the propeller Y-axis deflection angle. Z-axis rotation angle and Z-axis acceleration .

5. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 4, characterized in that: The measurement unit includes an IMU.

6. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 4, characterized in that: The hull is equipped with a positioning unit and a communication module to transmit hull data to a server. The positioning unit is a GPS / 5G module that integrates a Beidou and / or GPS positioning unit with a 5G communication module to transmit hull data to a cloud server.

7. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 4, characterized in that: The kinematic data acquisition includes key parameter calculation, which includes blade immersion depth estimation, which includes: Pre-marking: In still water, record the Z-axis height of the measuring unit when the paddle handle is horizontal to the water surface and perpendicular to the long axis of the hull. During the paddling process, the current blade entry depth is estimated by using the Y-axis angle change calculation and the Z-axis acceleration integral fusion phase recognition. ,in The height corresponds to the full immersion depth. The blade displacement is calculated by integrating the measurement unit along the Z-axis and fusing the deflection angle around the Y-axis. Calculate the linear velocity of the left propeller handle relative to the hull. : Where L2 is the distance from the fulcrum to the measuring unit of the handle grip area. The instantaneous angular velocity of the blade; Similarly, calculate the linear velocity of the right propeller crank relative to the hull. ; Boat speed calculation: The Y-axis acceleration of the measurement unit is low-pass filtered and integrated, and then fused with the velocity of the positioning unit for zero-speed correction to output a stable boat speed. .

8. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 1, characterized in that: During database retrieval, latitude and longitude, timestamp, boat speed, blade angle, and propeller speed are packaged and uploaded every 100ms. The data is mapped in real time, and the theoretical handle pressure is obtained from the difference between the boat speed and blade angle.

9. The method for evaluating the strength of rowing athletes based on propeller blades and a multidimensional hydrodynamic database according to claim 1, characterized in that: When visualizing the output, the instantaneous power of the left propeller is calculated using the power-time curve, velocity curve, and left / right propeller comparison data. and the instantaneous power of the right propeller The instantaneous power of the left propeller : The calculation for the right propeller is the same as for the left propeller. Simultaneous calculation of left-right coordination score : Automatically generated technical briefing: Left and right propeller delay data and adjustment suggestions.

10. A rowing athlete strength assessment system based on propeller blades and a multidimensional hydrodynamic database, characterized in that, include: The data storage module is used for multi-dimensional mechanical response data under various working conditions, and supports multi-dimensional indexing and fast difference query. The sensor module is used to collect the hull motion status and propeller kinematic parameters in real time; The terminal module is used to load relevant data from the data storage module, monitor position, power, hull speed, etc. in real time, and generate technical briefings.

11. A rowing athlete strength assessment device based on propeller blades and a multidimensional hydrodynamic database, characterized in that: It includes a memory and a processor, the memory storing relevant data, and the processor executing to implement the rowing athlete strength assessment method based on propeller and multidimensional hydrodynamic database as described in any one of claims 1 to 9.

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