Weighing and control system

Abstract

The invention discloses a weighing and control system, and relates to the related technical field of treadmills. The treadmill comprises a treadmill table, supporting frames are arranged on the two sides of the treadmill, a control table is fixed to the upper end faces of the supporting frames, handrails are fixed between the two side walls of the upper portions of the supporting frames, a running plate is arranged on the inner side of the treadmill, and static weighing tables are arranged on pedal edge strips, close to the left side and the right side of the control table, of the treadmill. And a plurality of groups of distributed piezoelectric sensors which are uniformly distributed are arranged on the inner side walls of the treadmill in front of and behind the treadmill. Through combined use of the strain gauge sensor, the distributed piezoelectric sensor and the electrode plate, data such as the body weight, the gait impact force, the body fat rate and the heart rate of a user are collected in real time, motion interference is isolated through a dynamic damping compensation algorithm, high-precision non-inductive weighing is achieved, and the user experience is improved. Personalized fitness schemes, safety early warning and periodic health reports are generated through data fusion analysis, a three-level braking safety mechanism is achieved, and the exercise safety of a user is guaranteed.

Description

Technical Field

[0001] This invention belongs to the technical field of treadmills, and in particular relates to a weighing and control system. Background Technology

[0002] Treadmills, as a common type of fitness equipment, are widely used in homes, gyms, and medical institutions due to their advantages such as being unaffected by weather or location. In the fitness field, treadmills provide users with a stable running environment, helping them to perform aerobic exercise and achieve goals such as improving physical fitness, reducing fat, and shaping the body. In the field of medical rehabilitation, treadmills are also frequently used for patient rehabilitation training, such as helping stroke patients regain their ability to walk.

[0003] However, existing treadmill technology still has some shortcomings in its weighing and control systems. Firstly, regarding weighing technology, traditional treadmills often lack precise weighing capabilities. While some treadmills do have weighing devices, these devices are often inaccurate and easily affected by external factors, such as uneven user positioning or vibrations during operation. This leads to inaccurate weighing results, which can negatively impact the effectiveness and safety of training for users who need to tailor their fitness plans or rehabilitation exercises based on their weight. Secondly, in terms of control systems, existing treadmill control systems are relatively simple and lack a high level of intelligence. Most treadmill control parameters, such as speed and incline, require manual adjustment by the user. The current weighing and control systems are manually set and cannot automatically adjust based on factors such as the user's weight and physical condition. This not only increases the difficulty of operation for users but also makes it difficult to meet the personalized needs of different users. For example, heavier users may require a lower initial speed and a gentler incline to avoid exercise injury, while lighter users can appropriately increase the speed and incline for better training results. However, the existing control system cannot automatically recognize the user's weight and make corresponding adjustments. In addition, the existing weighing and control systems lack effective linkage, and weighing data is not fully utilized in the control system, making it impossible to adjust the treadmill's operating parameters in real time based on the weighing results, thus affecting the user experience and exercise results. To address these issues, we have developed a weighing and control system to solve the problems mentioned above. Summary of the Invention

[0004] The purpose of this invention is to provide a weighing and control system that uses a combination of strain gauge sensors, distributed piezoelectric sensors, and electrode plates to collect real-time data such as user weight, gait impact force, body fat percentage, and heart rate. Combined with blood oxygen and blood pressure monitoring from external devices (such as wristbands), and using a dynamic shock absorption compensation algorithm to isolate motion interference, it achieves high-precision, non-intrusive weighing. Through data fusion analysis, it generates personalized fitness plans, safety warnings, and periodic health reports, and has a three-level braking safety mechanism to ensure user safety during exercise.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: This invention relates to a weighing and control system, including a running platform; a support frame is provided on the left side of the running platform, a control console is fixed on the upper end of the support frame, handrails are fixed between the two side walls located on the upper part of the support frame, a running plate is provided on the inner side of the running platform, and static weighing platforms are provided on the upper part of the running platform on both sides of the running plate. The two sets of static weighing platforms are located on the upper part of the running platform closer to the support frame and are symmetrically arranged. Multiple sets of evenly distributed piezoelectric sensors are installed on the inner side walls of the running platform located in front of and behind the running plate, and the sensing probes of the distributed piezoelectric sensors are in contact with the inner side of the running plate.

[0006] The invention is further configured such that step strips are fixed on the upper surface of the running platform located at the front and rear of the running board, and protective frames are fixed on the front and rear sides of the running platform.

[0007] The present invention is further configured such that the static weighing platform includes a mounting plate installed at the upper end of the foot bar and two sets of strain gauge sensors embedded at the upper end of the foot bar, and an acceleration sensor for detecting the vibration frequency of the treadmill is provided directly below the mounting plate located between the two sets of strain gauge sensors.

[0008] The invention is further configured such that a health monitoring module is installed inside the handrail, and an electrode plate electrically connected to the health monitoring module is embedded in the surface wall of the handrail. The electrode plate adopts the four-electrode bioelectrical impedance method to measure body fat percentage, muscle mass and heart rate.

[0009] The invention is further configured such that a positioning shaft fixed on the running platform is provided at a position directly below the acceleration sensor, the acceleration sensor is snapped into a notch at the upper end of the positioning shaft, and a pad that is bolted to the running platform is provided at a position below the mounting plate.

[0010] The present invention is further configured such that the control panel includes an integrated processor, a display screen and a data storage unit, wherein the integrated processor contains a Wi-Fi and Bluetooth module, and the data is uploaded to the cloud and synchronized with multiple terminals in real time during operation.

[0011] The present invention is further configured such that the static weighing platform detects the user's stationary state through an accelerometer and activates the strain gauge sensor to complete the weighing and lock the data.

[0012] The present invention is further configured such that the strain gauge sensor, acceleration sensor, health monitoring module and distributed piezoelectric sensor used are all communicatively connected to the integrated processor in the control console, and transmit various detection data to the integrated processor in the control console.

[0013] The invention is further configured such that the distributed piezoelectric sensor calculates step frequency, ground contact time, and left-right foot symmetry in real time through impact force peak detection and time series analysis, and the abnormal gait analysis results can trigger voice reminders.

[0014] The present invention has the following beneficial effects: 1. When a user exercises on the running board, the impact force will affect the running board. The distributed piezoelectric sensor is connected to the running board, so the impact force will pass through the running board to the distributed piezoelectric sensor. Therefore, the distributed piezoelectric sensor detects the peak value of the impact force and analyzes the user's movement time series to calculate the user's stride frequency, ground contact time and left and right foot symmetry in real time. This allows for accurate determination of the user's exercise habits, making it easier to remind the user to adjust their exercise posture in a timely manner and reduce the risks to the user during exercise.

[0015] 2. When the user stops moving and needs to perform static weighing, the user can step on the foot pedal and place their foot on the upper surface of the mounting plate. The acceleration sensor will detect that the user is stationary and activate the strain gauge sensor to weigh the user. The weighing data is locked and transmitted to the control console. The integrated processor integrates the data to achieve high-precision, contactless weighing. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram of the overall structure of the treadmill of the present invention.

[0018] Figure 2 This is a schematic diagram of the treadmill structure in this invention.

[0019] Figure 3 This is an exploded view of the static weighing platform in this invention.

[0020] Figure 4 This is a schematic diagram of the distributed structure of the distributed piezoelectric sensor in this invention.

[0021] Figure 5 This is a flowchart of the control system in this invention.

[0022] Figure 6 This is a flowchart of the dynamic vibration reduction algorithm for static weighing in this invention.

[0023] Figure 7 This is a flowchart illustrating the motion mode control process in this invention.

[0024] The attached diagram lists the components represented by each number as follows: 1-Control console, 2-Running platform, 3-Static weighing platform, 301-Mounting plate, 302-Padded plate, 303-Strain gauge sensor, 304-Positioning shaft, 305-Acceleration sensor, 4-Handrail, 5-Support frame, 6-Running platform, 601-Protective frame, 602-Step strip, 603-Distributed piezoelectric sensor. Detailed Implementation

[0025] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] Example 1 Please see Figures 1 to 4 This invention is a weighing and control system that uses a combination of strain gauge sensors 303, distributed piezoelectric sensors 603, and electrode plates to collect real-time data on user weight, gait impact force, body fat percentage, heart rate, etc. Combined with blood oxygen and blood pressure monitoring from external devices (such as wristbands), and using a dynamic shock absorption compensation algorithm to isolate motion interference, it achieves high-precision, non-intrusive weighing. Through data fusion analysis, it generates personalized fitness plans, safety warnings, and periodic health reports, and has a three-level braking safety mechanism to ensure user safety during exercise.

[0027] Specifically, a running platform 6 is provided; a support frame 5 is provided on the left side of the running platform 6, and a control console 1 is fixed to the upper end of the support frame 5. Handrails 4 are fixed between the two side walls of the upper part of the support frame 5. A running plate 2 is provided on the inner side of the running platform 6. Static weighing platforms 3 are provided on the upper part of the running platform 6 on both sides of the running plate 2. The two sets of static weighing platforms 3 are located on the upper part of the running platform 6 near the support frame 5 and are symmetrically arranged. Multiple sets of evenly distributed piezoelectric sensors 603 are installed on the inner side wall of the running platform 6 located in front of and behind the running plate 2. The sensing probes of the distributed piezoelectric sensors 603 are in contact with the inner side of the running plate 2. The upper surface of the platform 6 is fixed with step strips 602. The static weighing platform 3 includes a mounting plate 301 installed on the upper end of the step strips 602 and two sets of strain gauge sensors 303 embedded on the upper end of the step strips 602. An acceleration sensor 305 for detecting the vibration frequency of the treadmill is set directly below the mounting plate 301 located between the two sets of strain gauge sensors 303. The control panel includes an integrated processor, a display screen and a data storage unit. The integrated processor contains Wi-Fi and Bluetooth modules. In the working state, the data is uploaded to the cloud in real time and synchronized with multiple terminals. The front and rear sides of the running platform 6 are fixed with protective frames 601.

[0028] The operation process of this embodiment is as follows: With the above-described structure, when a user uses the treadmill, the user's movement on the running board 2 will impact the running board 2. The distributed piezoelectric sensor 603 is connected to the running board 2, so the impact force generated will impact the distributed piezoelectric sensor 603 through the running board 2. Therefore, the distributed piezoelectric sensor 603 detects the peak value of the impact force and analyzes the user's movement time sequence to calculate the user's cadence, ground contact time, and left and right foot symmetry in real time. When the user exhibits abnormal gait (such as a difference in ground contact time between the left and right feet > 15%), a voice correction prompt will be triggered. At the same time, after the user finishes exercising, the distributed piezoelectric sensor 603 will transmit the data to the control console 1 in real time. The control console 1 will generate a corresponding exercise data report from the detected data and display it on the screen. The generated report includes cadence, calorie consumption, and joint load score. During user movement, dynamic data is analyzed in real-time using a sliding window algorithm (window length 1 second, overlap rate 50%) to assess user gait characteristics. If any anomalies are detected in the data during the user's movement, a safety protection mechanism is triggered. This mechanism employs a three-level braking system, as shown below: level Triggering conditions Execute action Level 1 The user's heart rate is greater than 90% of the set maximum heart rate and remains so for 5 seconds. The electric roller slows down to 1 km / h, and a voice prompt says, "Please reduce the intensity." Level 2 Blood oxygen <95% or emergency button triggered The speed gradually returns to zero, and the slope automatically resets to a horizontal state. Level 3 The machine is overloaded. The main power supply will be automatically cut off, the rollers will be locked, and the running plate 2 will stop working. When the user stops moving and needs to be statically weighed, the user can step on the foot pedal 602 and place their foot on the upper surface of the mounting plate 301. The acceleration sensor 305 will detect that the user is stationary and activate the strain gauge sensor 303 to weigh the user. The weighing data is locked and transmitted to the control console 1, where the integrated processor integrates the data. It should be noted that during exercise, users need to use their own communication devices or external devices such as wristbands to connect to the control console 1 via Bluetooth so that the control console 1 can transmit data to the user's device in real time, making it convenient for the user to compare past exercise data.

[0029] Example 2 Please see Figure 1 , Figure 2 and Figure 3 Based on Example 1, by using the health monitoring module, electrode pads and armrest 4 in conjunction with each other, a series of data from the user are transmitted to the health monitoring module to determine body fat percentage, muscle mass and heart rate.

[0030] Specifically, a health monitoring module is installed inside the handrail 4, and electrode pads for electrical connection with the health monitoring module are embedded in the surface wall of the handrail 4. The electrode pads adopt the four-electrode bioelectrical impedance method to measure body fat percentage, muscle mass and heart rate. A positioning shaft 304 fixed on the treadmill 6 is set directly below the accelerometer 305. The accelerometer 305 is snapped into the notch at the upper end of the positioning shaft 304. A pad 302 is set below the mounting plate 301, connected to the upper end of the foot pedal and bolted to the treadmill 6. The mounting plate 301 and the pad 302 are snapped together to install the accelerometer 305 and the strain gauge sensor 303 between the pad 302 and the mounting plate 301. The positioning shaft 304 passes directly through the pad 302, the foot pedal 602 and the treadmill 6.

[0031] The operation process of this embodiment is as follows: During exercise, the user needs to use the handrail 4 to ensure the safety of their exercise. Therefore, the user will come into contact with the electrode pads. The electrode pads transmit a series of data from the user to the health monitoring module to determine body fat percentage, muscle mass and heart rate. At the same time, the accelerometer 305 is locked at the upper port position of the positioning shaft 304. The positioning shaft 304 limits the accelerometer 305 to ensure that the accelerometer 305 is stably located below the mounting plate 301, and to ensure that the accelerometer 305 can stably perform detection.

[0032] Example 3 Please see Figure 1 and Figure 2Based on Example 1, the static weighing platform 3, the health monitoring module and the integrated processor are used in combination to enable users to develop corresponding training plans.

[0033] Specifically, the static weighing platform 3 detects the user's stationary state through the accelerometer 305 and activates the strain gauge sensor 303 to complete the weighing and lock the data. The strain gauge sensor 303, accelerometer 305, health monitoring module and distributed piezoelectric sensor 603 are all connected to the integrated processor in the control console 1 to transmit various detection data to the integrated processor in the control console 1. The distributed piezoelectric sensor 603 calculates step frequency, ground contact time and left and right foot symmetry in real time through impact peak detection and time series analysis. Abnormal gait analysis results can trigger voice reminders.

[0034] The operation process of this embodiment is as follows: the integrated processor receives data information transmitted from multiple sensors, integrates the data from each group, and provides the user with a suitable way to adjust the exercise state. At the same time, when the user's exercise state is detected to be abnormal, the voice broadcast used in the process reminds the user to stop working in time. Furthermore, through the cooperation between the strain gauge sensor 303 and the acceleration sensor 305, the user's weight is accurately measured so that the user can formulate a corresponding training plan.

[0035] Example 4 according to Figure 6 As can be seen, when a user performs static weighing, they step on the mounting plate 301. At this time, the static weighing platform 3 works and performs signal preprocessing, extracts vibration characteristics, and achieves error model matching through the integrated processor to achieve dynamic compensation calculation and real-time correction output. When the compensation value fluctuates less than the initially set threshold for multiple consecutive times, the detected data is locked and the data is output. When the compensation value exceeds the initially set threshold for multiple consecutive times, the static weighing platform 3 returns to the initial working state and starts detecting again.

[0036] Example 5 according to Figure 5 and Figure 7 The control system has two motion modes (manual mode or adaptive mode). The manual mode allows users to directly operate the control console 1 to control the incline or speed of the running board 2, requiring users to operate it according to their own needs. The adaptive exercise mode analyzes user weight data, dynamic data, external device data, and multi-source data, and makes adaptive adjustments based on the data generated by the user during exercise. It will automatically adjust the speed and incline to approximate outdoor running. It should be noted that the manual selection mode includes basic mode, fat loss mode, endurance mode, interval training, and rehabilitation training. When users use the manual selection mode, the basic mode is a constant intensity mode: speed 6-8km / h, incline 1-3°; the fat loss mode requires heart rate control: required heart rate = maximum heart rate * 60%; the endurance training mode is a mode that increases speed / incline every 5 minutes; the interval training mode is a mode that alternates between high intensity and low intensity; the recovery mode is a mode that limits speed to ≤4km / h and incline to ≤2°. After the user selects the manual mode, the corresponding data will be synchronized to the console 1 and the implementation parameters will be displayed. After the movement continues, various sensors will detect the corresponding dynamic data and control the adjustment of various dynamic parameters. When the detected data is normal, the device will continue to update the speed / gradient. When the detected data is abnormal, the safety protection braking mechanism will be triggered to end the movement. When the user adopts adaptive mode, the selection of various modes will be skipped and the dynamic data detection will be performed directly.

[0037] It should be noted that the strain gauge sensor 303 adopts a bimetallic sensitive grid full-bridge circuit. Four strain gauges are symmetrically attached to the inner side of the running plate 2 to form a Wheatstone bridge. The parameters are set as follows: sensitivity coefficient 2.1±0.05, bridge power supply voltage 5VDC, instrumentation amplifier gain 1000 times, and temperature compensation is: third-order polynomial model ΔR / R=αΔT+β(ΔT)^2+γ(ΔT)^3, coefficient range α=-0.002~-0.004 / ℃. It is calibrated twice by bimetallic self-compensation + real-time temperature sensor. The accelerometer 305 uses the QM6100P triaxial accelerometer, which has an ultra-high resolution better than 0.2mg. In dynamic calibration, zero bias calibration is performed at power-on, and real-time correction is performed in operation using sliding window variance analysis method (window length 200ms).

[0038] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0039] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A weighing and control system, including a running table (6); characterized in that: A support frame (5) is provided on the left side of the running platform (6). A control console (1) is fixed on the upper surface of the support frame (5). Handrails (4) are fixed between the two side walls of the upper part of the support frame (5). A running plate (2) is provided on the inner side of the running platform (6). Static weighing platforms (3) are provided on the upper part of the running platform (2) on both sides. The two sets of static weighing platforms (3) are located on the upper part of the running platform (6) close to the support frame (5) and are symmetrically arranged. Multiple sets of evenly distributed piezoelectric sensors (603) are installed on the inner side wall of the running platform (6) in front of and behind the running plate (2). The sensing probes of the distributed piezoelectric sensors (603) are in contact with the inner side of the running plate (2).

2. The weighing and control system according to claim 1, characterized in that, The upper surfaces of the running platform (6) located in front of and behind the running board (2) are fixed with step strips (602), and the front and rear sides of the running platform (6) are fixed with protective frames (601).

3. The weighing and control system according to claim 2, characterized in that, The static weighing platform (3) includes a mounting plate (301) installed on the upper end of the foot bar (602) and two sets of strain gauge sensors (303) embedded on the upper end of the foot bar (602). An acceleration sensor (305) for detecting the vibration frequency of the treadmill is provided directly below the mounting plate (301) located between the two sets of strain gauge sensors (303).

4. The weighing and control system according to claim 1, characterized in that, The handrail (4) is equipped with a health monitoring module, and the surface wall of the handrail (4) is embedded with an electrode plate that is electrically connected to the health monitoring module. The electrode plate adopts the four-electrode bioelectrical impedance method to measure body fat percentage, muscle mass and heart rate.

5. The weighing and control system according to claim 3, characterized in that, A positioning shaft (304) fixed on the running platform (6) is provided at a position directly below the acceleration sensor (305). The acceleration sensor (305) is locked in the notch at the upper end of the positioning shaft (304). A pad (302) that is bolted to the running platform (6) is provided at a position below the mounting plate (301).

6. The weighing and control system according to claim 1, characterized in that, The control panel includes an integrated processor, a display screen, and a data storage unit. The integrated processor contains Wi-Fi and Bluetooth modules, and during operation, it uploads data to the cloud and synchronizes it with multiple terminals in real time.

7. The weighing and control system according to claim 1, characterized in that, After the accelerometer (305) detects the user's stationary state, the static weighing platform (3) activates the strain gauge sensor (303) to complete the weighing and locks the data.

8. The weighing and control system according to claim 1, characterized in that, The strain gauge sensor (303), acceleration sensor (305), health monitoring module in the handrail (4) and distributed piezoelectric sensor (603) used are all connected to the integrated processor in the console (1) to transmit the detection data to the integrated processor of the console (1).

9. The weighing and control system according to claim 1, characterized in that, The distributed piezoelectric sensor (603) calculates step frequency, ground contact time, and left and right foot symmetry in real time through peak impact force detection and time series analysis. Abnormal gait analysis results can trigger voice reminders.

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