Standing long jump data acquisition method based on intelligent long jump mat

Abstract

The invention provides a standing long jump data acquisition method based on an intelligent long jump mat, and compared with the prior art, the method comprises the steps: preparing a plurality of standby sensors through liquid metal, and combining the standby sensors with pressure structures one by one to obtain a plurality of liquid metal sensors; all the liquid metal sensors are arranged on the long jump mat at equal intervals so as to increase the stress area of the liquid metal sensors, all the liquid metal sensors are electrically connected with a processor, and the intelligent long jump mat is obtained; adjusting the response thresholds of all the liquid metal sensors through a processor, and collecting voltage measurement data by using all the liquid metal sensors after the response thresholds are adjusted; the voltage test value outside the response threshold range in the voltage test data is determined, and the position of the liquid metal sensor collecting the voltage test value on the intelligent long jump pad is used as the standing long jump data, so that the accuracy and consistency of the standing long jump data are ensured, and the acquisition precision of the standing long jump data is improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent body technology, and in particular to a method for acquiring standing long jump data based on an intelligent long jump mat. Background Art

[0002] Standing long jump is a physical exercise program that develops the explosive power and jumping ability of the lower limbs. With the progress of society and the development of education, more and more provinces and cities have included standing long jump as a physical training program and have included it in students' physical achievement tests and entrance examinations.

[0003] As a sports training equipment, long jump mats can be used for standing long jump exercise and training. At present, standing long jump mats are mainly divided into two categories. The first category uses a rubber or plastic pad to provide an elastic take-off area and an elastic landing area. The take-off area is provided with a take-off marking line, and the landing area is provided with a distance marking line; the second category is based on the first category of long jump mats, and adds take-off detection, electronic distance measurement, or action teaching functions; but these two types of long jump mats cannot improve the accuracy of the measured data. Summary of the invention

[0004] The invention provides a method for acquiring standing long jump data based on an intelligent long jump mat, the purpose of which is to improve the accuracy of measured data.

[0005] In order to achieve the above object, the present invention provides a method for acquiring standing long jump data based on an intelligent long jump mat, comprising:

[0006] Using liquid metal to prepare multiple spare sensors, and combining the liquid metal sensors with the pressure structure one by one to obtain multiple liquid metal sensors;

[0007] Arrange all liquid metal sensors at equal intervals on the long jump mat, and electrically connect all liquid metal sensors to the processor to obtain an intelligent long jump mat;

[0008] Calibrate the voltage measurement values ​​collected by all liquid metal sensors through a processor to adjust the response thresholds of all liquid metal sensors, and collect voltage measurement data using all liquid metal sensors after adjusting the response thresholds, wherein the voltage measurement data includes multiple voltage measurement values;

[0009] The voltage test value outside the response threshold range in the voltage test data is determined, and the position of the liquid metal sensor that collects the voltage test value on the intelligent long jump mat is used as the standing long jump data.

[0010] Furthermore, multiple liquid metal sensors are prepared using liquid metal, including:

[0011] Select multiple silicone tubes as the substrate;

[0012] Liquid metal is injected into each silicone tube;

[0013] Both ends of each silicone tube are sealed by a hot melt adhesive layer;

[0014] A metal wire is provided at both ends of each silicone tube, one end of the two metal wires is in contact with the liquid metal, and the other ends of the two metal wires pass through the hot melt adhesive layer and extend to the outside of the silicone tube to form a backup sensor. The metal wire extending to the outside of the silicone tube is the output end of the backup sensor.

[0015] Furthermore, all liquid metal sensors are arranged at equal intervals on the long jump mat, and all liquid metal sensors are electrically connected to the processor to obtain a smart long jump mat, including:

[0016] Embed the liquid metal sensors into the long jump mat, with the interval between every two liquid metal sensors being 10 cm;

[0017] The output end of the liquid metal sensor is the output end of the backup sensor;

[0018] The output end of the liquid metal sensor is electrically connected to the input end of the processor to obtain an intelligent long jump mat.

[0019] More specifically, the processor includes:

[0020] Power supply unit, main control unit, filter unit, ADC conversion unit;

[0021] The input terminal of the power supply unit is connected to the output terminal of the battery;

[0022] The output end of the power supply unit is connected to the power supply end of the main control unit, the power supply end of the ADC conversion unit, and the power supply end of the filter unit;

[0023] The input end of the filter unit is connected to the output end of all liquid metal sensors, and the output end of the filter unit is connected to the input end of the ADC conversion unit;

[0024] The data transmission end of the ADC conversion unit is connected to the data transmission end of the main control unit.

[0025] More specifically, the filtering unit includes:

[0026] A plurality of conversion subunits consisting of a sixth resistor, a tenth resistor, and a sixteenth capacitor, wherein the conversion subunits are connected to the liquid metal sensors in a one-to-one correspondence;

[0027] The first end of the sixth resistor is respectively connected to the first end of the tenth resistor and the output end of one of the liquid metal sensors among the plurality of liquid metal sensors;

[0028] The second end of the sixth resistor is connected to the first end of the sixteenth capacitor and the input end of the ADC conversion unit respectively;

[0029] The second end of the tenth resistor is connected to the output end of the power supply unit;

[0030] A second terminal of the sixteenth capacitor is grounded.

[0031] Further, the processor calibrates the voltage measurement values ​​collected by all liquid metal sensors to adjust the response thresholds of all liquid metal sensors, including:

[0032] A voltage measurement value output by the liquid metal sensor is obtained through a filter unit, and the voltage measurement value is used to characterize the pressure change sensed by the liquid metal sensor;

[0033] An initial weight is assigned to each liquid metal sensor through the main control unit, and the voltage measurement values ​​output by all liquid metal sensors are calculated using the initial weight to obtain a weighted average value of all liquid metal sensors;

[0034] The voltage measurement value is predicted through Kalman filtering to obtain the voltage estimation value at the current moment and calculate the Kalman gain;

[0035] The voltage estimation value at the current moment is updated based on the Kalman gain and the weighted average value to obtain an updated voltage estimation value;

[0036] The deviation between the voltage measurement and the updated voltage estimate is calculated, and each liquid metal sensor adjusts its respective response threshold based on the deviation.

[0037] To further explain, the calculation expression of weighted average is:

[0038]

[0039] in, Represents the weighted average of the voltage measurement values ​​output at time t, Z i,t represents the voltage measurement value output by the i-th liquid metal sensor at time t, ω i represents the initial weight of the i-th liquid metal sensor.

[0040] Furthermore, the voltage measurement value is predicted by Kalman filtering, and the expression of the voltage estimate value at the current moment is obtained as follows:

[0041]

[0042] in, represents the voltage measurement value state at the current moment, A represents the unit matrix, X t-1 Indicates the voltage measurement value status at the previous moment.

[0043] Specifically, the Kalman gain is expressed as:

[0044] K t =P t ·H T ·(H·P t ·H T +R) -1

[0045] Among them, K t represents the Kalman gain, P t represents the error covariance matrix at time t, H represents the observation matrix, and R represents the measurement noise covariance matrix of the liquid metal sensor.

[0046] Specifically, the updated voltage estimate is calculated as:

[0047]

[0048] Among them, X t represents the updated voltage estimate at time t.

[0049] The above scheme of the present invention has the following beneficial effects:

[0050] Compared with the prior art, the present invention uses liquid metal to prepare a plurality of spare sensors, and combines the spare sensors with pressure structures one by one to obtain a plurality of liquid metal sensors, and senses the change of pressure through the deformation and flow of liquid metal, thereby improving the sensitivity of the sensor; all the liquid metal sensors are arranged on the long jump mat at equal intervals to increase the force-bearing area of ​​the liquid metal sensors, and all the liquid metal sensors are electrically connected to the processor to obtain an intelligent long jump mat; the processor calibrates the voltage measurement values ​​collected by all the liquid metal sensors to adjust the response thresholds of all the liquid metal sensors, and uses all the liquid metal sensors after the response thresholds are adjusted to collect voltage measurement data; the voltage test value outside the response threshold range in the voltage test data is determined, and the position of the liquid metal sensor that collects the voltage test value on the intelligent long jump mat is used as the standing long jump data, thereby ensuring the accuracy and consistency of the standing long jump data and improving the acquisition accuracy of the standing long jump data.

[0051] Other beneficial effects of the present invention will be described in detail in the subsequent specific implementation section. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic diagram of a flow chart of an embodiment of the present invention;

[0053] Figure 2 FIG. 1 is a diagram of the preparation process of the spare sensor in an embodiment of the present invention;

[0054] Figure 3 is a principle block diagram of a processor in an embodiment of the present invention;

[0055] Figure 4 is a circuit schematic diagram of a filter unit in an embodiment of the present invention;

[0056] Figure 5 is a circuit schematic diagram of an ADC conversion unit in an embodiment of the present invention;

[0057] Figure 6 is a circuit schematic diagram of a main control unit in an embodiment of the present invention;

[0058] Figure 7 4 is a circuit diagram of a power supply unit in an embodiment of the present invention.

[0059] Reference numerals:

[0060] 1-Liquid metal 2-Silicone tube 3-Metal wire

[0061] 4- Hot melt adhesive 5- Spare sensor 6- Syringe. DETAILED DESCRIPTION

[0062] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0064] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a locking connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0066] In view of the existing problems, the invention provides a method for acquiring standing long jump data based on an intelligent long jump mat.

[0067] like Figure 1 As shown, an embodiment of the present invention provides a method for acquiring standing long jump data based on an intelligent long jump mat, comprising:

[0068] Step 1, using liquid metal to prepare a plurality of spare sensors, and combining the liquid metal sensors with the pressure structure one by one to obtain a plurality of liquid metal sensors;

[0069] Step 2: Arrange all liquid metal sensors on the long jump mat at equal intervals, and electrically connect all liquid metal sensors to the processor to obtain an intelligent long jump mat;

[0070] Step 3, calibrating the voltage measurement values ​​collected by all liquid metal sensors through a processor to adjust the response thresholds of all liquid metal sensors, and collecting voltage measurement data using all liquid metal sensors after adjusting the response thresholds, wherein the voltage measurement data includes multiple voltage measurement values;

[0071] Step 4, determining the voltage test value outside the response threshold range in the voltage test data, and taking the position of the liquid metal sensor that collects the voltage test value on the intelligent long jump mat as the standing long jump data.

[0072] Specifically, if Figure 2 As shown, multiple liquid metal sensors are prepared using liquid metal, including:

[0073] Select multiple silicone tubes 2 as the substrate;

[0074] Injecting liquid metal 1 into each silicone tube 2;

[0075] Both ends of each silicone tube 2 are sealed by a hot melt adhesive layer 4;

[0076] A metal wire 3 is respectively arranged at both ends of each silicone tube 2, one end of the two metal wires 3 is in contact with the liquid metal 1, and the other ends of the two metal wires 3 pass through the hot melt adhesive layer 4 and extend to the outside of the silicone tube 2 to form a spare sensor 5. The metal wire 3 extending to the outside of the silicone tube 2 is the output end of the spare sensor 5.

[0077] In an embodiment of the present invention, the liquid metal 1 is gallium-based liquid metal, and the substrate is a low-cost, high-rebound, and high-tear-resistant silicone tube 2. The silicone tube 2 has an outer diameter of 1 mm, an inner diameter of 0.5 mm, and a length of 70 cm. Its shape is fibrous, and the material of the metal wire 3 can be copper wire or other materials that can be used as a conductive tool.

[0078] In the embodiment of the present invention, the liquid metal 1 is injected into the silicone tube 2 through the syringe 6 .

[0079] It should be noted that, in the embodiment of the present invention, only one metal wire 3 may be provided for each silicone tube 2, but the length of the metal wire 3 needs to be greater than the length of the silicone tube 2. The metal wire 3 runs through the entire silicone tube 2 and both ends of the metal wire 3 extend to the outside of the silicone tube 2 to serve as connection terminals between the sensor and the processor.

[0080] In the embodiment of the present invention, the pressure structure is made of polylactic acid material by 3D printing.

[0081] Specifically, all liquid metal sensors are arranged at equal intervals on the long jump mat, and all liquid metal sensors are electrically connected to the processor to obtain the intelligent long jump mat, including:

[0082] Embed the liquid metal sensors into the long jump mat, with the interval between every two liquid metal sensors being 10 cm;

[0083] The output end of the liquid metal sensor is the output end of the backup sensor;

[0084] The output end of the liquid metal sensor is electrically connected to the input end of the processor to obtain an intelligent long jump mat.

[0085] Most preferably, Figure 3 As shown, the processor includes:

[0086] Power supply unit, main control unit, filter unit, ADC conversion unit;

[0087] The input terminal of the power supply unit is connected to the output terminal of the battery;

[0088] The output end of the power supply unit is connected to the power supply end of the main control unit, the power supply end of the ADC conversion unit, and the power supply end of the filter unit;

[0089] The input end of the filter unit is connected to the output end of all liquid metal sensors, and the output end of the filter unit is connected to the input end of the ADC conversion unit;

[0090] The data transmission end of the ADC conversion unit is connected to the data transmission end of the main control unit.

[0091] In the embodiment of the present invention, the working principle of the processor is as follows:

[0092] The power supply unit steps down the voltage of the electric energy in the battery and transmits it to the main control unit, the filtering unit and the ADC conversion unit; the filtering unit filters the voltage measurement values ​​received from the output ends of all the liquid metal sensors and transmits them to the ADC conversion unit; the ADC conversion unit converts the filtered voltage measurement values ​​and transmits them to the main control unit; the main control unit calibrates the converted voltage measurement values ​​to adjust the response thresholds of all the liquid metal sensors and obtains the voltage measurement data collected by all the liquid metal sensors after adjusting the response thresholds; the main control unit determines the voltage test values ​​outside the response threshold range in the voltage test data, obtains the position of the liquid metal sensor that collects the voltage test value on the intelligent long jump mat, and uses the position as the standing long jump data.

[0093] Most preferably, the filtering unit comprises:

[0094] A plurality of conversion subunits consisting of a sixth resistor R6, a tenth resistor R10, and a sixteenth capacitor C16, such as Figure 4 As shown, the conversion subunits are connected to the liquid metal sensors in a one-to-one correspondence;

[0095] The first end of the sixth resistor R6 is respectively connected to the first end of the tenth resistor R10 and the output end of one of the liquid metal sensors among the plurality of liquid metal sensors;

[0096] The second end of the sixth resistor R6 is connected to the first end of the sixteenth capacitor C16 and the input end of the ADC unit respectively;

[0097] A second end of the tenth resistor R10 is connected to the output end of the power supply unit;

[0098] A second terminal of the sixteenth capacitor C16 is grounded.

[0099] In an embodiment of the present invention, the voltage measurement value output by the liquid metal sensor is input into the filter unit through the first end of the sixth resistor R6, the power output by the power supply unit is input into the filter unit through the second end of the tenth resistor R10, and the input voltage measurement value is output to the ADC conversion unit through the second end of the sixth resistor R6.

[0100] Most preferably, the ADC conversion unit is composed of a conversion chip ADS1256, a voltage reference chip LM285D and its peripheral circuits, and the specific connection relationship is as follows: Figure 5 As shown, the sixth to thirteenth pins of the conversion chip are respectively connected to a group of conversion sub-units to receive voltage measurement values, the fifteenth and twentieth to twenty-fourth pins of the conversion chip are all connected to the data transmission end of the main control unit to send the voltage measurement value, and the first pin of the conversion chip is connected to the output end of the power supply unit to receive a +5V power supply.

[0101] Most preferably, the main control unit includes a main control chip STM32F103C8T6, a crystal oscillator circuit, an indication circuit, a reset circuit, a serial port and a burning interface, and the specific connection relationship is as follows: Figure 6 As shown, the 21st pin, the 22nd pin, the 25th pin to the 28th pin of the main control chip are connected to the 15th pin and the 20th pin to the 24th pin of the conversion chip in a one-to-one correspondence, the 3rd pin to the 6th pin of the main control chip are all connected to the crystal oscillator circuit, the 7th pin of the main control chip is connected to the reset circuit, the 2nd pin of the main control chip is connected to the indicator light circuit, the 30th pin and the 31st pin of the main control chip are connected to the serial port, and the 34th pin and the 37th pin of the main control chip are all connected to the burning interface.

[0102] Most preferably, the power supply unit includes an indication circuit, an interface, a two-stage step-down chip AMS1117 and a peripheral circuit of the step-down chip, and the specific connection relationship is as follows: Figure 7 As shown, the interface is connected to the battery to access the power supply, the first-stage buck chip outputs +5V power to the filter unit, ADC conversion unit and the second-stage buck chip, and the second-stage buck chip outputs 3.3V power to the indication circuit and the main control unit.

[0103] Specifically, the processor collects voltage measurements of all liquid metal sensors to calibrate the response thresholds of all liquid metal sensors, including:

[0104] A voltage measurement value output by the liquid metal sensor is obtained through a filter unit, and the voltage measurement value is used to characterize the pressure change sensed by the liquid metal sensor;

[0105] An initial weight is assigned to each liquid metal sensor through the main control unit, and the voltage measurement values ​​output by all liquid metal sensors are calculated using the initial weight to obtain a weighted average value of all liquid metal sensors;

[0106] The voltage measurement value is predicted through Kalman filtering to obtain the voltage estimation value at the current moment and calculate the Kalman gain;

[0107] The voltage estimation value at the current moment is updated based on the Kalman gain and the weighted average value to obtain an updated voltage estimation value;

[0108] The deviation between the voltage measurement and the updated voltage estimate is calculated, and each liquid metal sensor adjusts its respective response threshold based on the deviation.

[0109] In the embodiment of the present invention, the initial weight is adjusted according to the position of each liquid metal sensor, the amplitude of signal value fluctuation, and the number of times a significant pressure change is detected.

[0110] Most preferably, the weighted average is calculated as:

[0111]

[0112] in, Represents the weighted average of the voltage measurement values ​​output at time t, Z i,t represents the voltage measurement value output by the i-th liquid metal sensor at time t, ω i represents the initial weight of the i-th liquid metal sensor.

[0113] Most preferably, the voltage measurement value is predicted by Kalman filtering, and the expression of the voltage estimation value at the current moment is obtained as follows:

[0114]

[0115] in, represents the voltage measurement value at time t, It can be the voltage measurement value Z output by the i-th liquid metal sensor at time t i,t , A represents the identity matrix, X t-1 Represents the voltage measurement value at time t-1.

[0116] Most preferably, the calculation expression of the Kalman gain is:

[0117] K t =P t ·H T ·(H·P t ·H T +R) -1

[0118] Among them, K t represents the Kalman gain, H represents the observation matrix, which is used to describe the relationship between the estimation vector and the measurement vector, R represents the measurement noise covariance matrix of the liquid metal sensor, which is determined by the characteristics of the liquid metal sensor itself, and P t represents the error covariance matrix at time t, and its expression is:

[0119] Pt =A·P t-1 ·A T +Q

[0120] Among them, Q represents the noise covariance matrix. After collecting the voltage measurement values, the size of the noise is estimated through statistical analysis. During the filtering and debugging process, a balance is achieved between response speed and robustness, and the noise covariance matrix Q is modified to optimize the processor parameters.

[0121] Most preferably, the calculation expression of the updated voltage estimate is:

[0122]

[0123] Among them, X t Represents the updated voltage estimate at time t.

[0124] Most preferably, the deviation is calculated as:

[0125] δ i,t =Z i,t -X t

[0126] If the deviation exceeds the preset noise threshold, that is, the tolerable deviation range of the processing, it means that the current threshold of the liquid metal sensor is not appropriate and the sensor response threshold T needs to be adjusted. i,t , α is the learning rate (adjustment factor), which is usually a positive number less than 1 and determines the speed of threshold adjustment. i,t+1 is the response threshold at the next moment, and its expression is:

[0127] T i,t+1 =T i,t +α·δ i,t

[0128] The response threshold is smoothed and the expression is:

[0129] T i,t+1 =β·T i,t+1 +(1-β)·T i,t

[0130] Among them, β is a smoothing factor, and its value is a constant close to 1.

[0131] The embodiment of the present invention uses the response threshold after smoothing as a standard for determining whether the sensor is squeezed by external force. Assuming that the tester jumps onto the long jump mat, since the normal tester's foot length is generally between 20-28 cm, 2-3 liquid metal sensors will be squeezed in most cases. At this time, the voltage collected by the squeezed liquid metal sensor will greatly exceed its response threshold. The control unit will quickly capture these 2-3 signals exceeding the response threshold, and combine the physical positions of these 2-3 liquid metal sensors to determine the position of the last sensor as the position when the heel lands. This position is the tester's standing long jump score.

[0132] In an embodiment of the present invention, a visualization unit can be set on the intelligent long jump mat, such as a display screen to visualize the standing long jump data. A human-computer interaction interface can be set to achieve further intelligence. It can also communicate with a remote management system mounted on a computer or mobile terminal through a wireless communication unit to upload the acquired standing long jump data to the computer or mobile terminal for users to view at any time.

[0133] Compared with the prior art, the embodiment of the present invention uses liquid metal to prepare multiple spare sensors, and combines the spare sensors with pressure structures one by one to obtain multiple liquid metal sensors, which sense the change of pressure through the deformation and flow of liquid metal, thereby improving the sensitivity of the sensor; all liquid metal sensors are arranged on the long jump mat at equal intervals to increase the force-bearing area of ​​the liquid metal sensors, and all liquid metal sensors are electrically connected to the processor to obtain an intelligent long jump mat; the processor calibrates the voltage measurement values ​​collected by all liquid metal sensors to adjust the response thresholds of all liquid metal sensors, and uses all liquid metal sensors with adjusted response thresholds to collect voltage measurement data; determines the voltage test value outside the response threshold range in the voltage test data, and uses the position of the liquid metal sensor that collects the voltage test value on the intelligent long jump mat as the standing long jump data, thereby ensuring the accuracy and consistency of the standing long jump data and improving the acquisition accuracy of the standing long jump data.

[0134] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for acquiring standing long jump data based on an intelligent long jump mat, characterized in that: include: Using liquid metal to prepare multiple spare sensors, and combining the liquid metal sensors with pressure structures one by one to obtain multiple liquid metal sensors; Arrange all liquid metal sensors at equal intervals on the long jump mat, and electrically connect all liquid metal sensors to the processor to obtain an intelligent long jump mat; Calibrate voltage measurement values ​​collected by all liquid metal sensors using the processor to adjust response thresholds of all liquid metal sensors, and collect voltage measurement data using all liquid metal sensors after adjusting the response thresholds, wherein the voltage measurement data includes multiple voltage measurement values; A voltage test value outside the response threshold range in the voltage test data is determined, and a position of a liquid metal sensor on the intelligent long jump mat that collects the voltage test value is used as standing long jump data.

2. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 1, wherein: Liquid metal is used to prepare multiple liquid metal sensors, including: Select multiple silicone tubes as the base material; injecting liquid metal into each of the silicone tubes; Both ends of each silicone tube are sealed by a hot melt adhesive layer; A metal wire is provided at both ends of each silicone tube, one end of the two metal wires is in contact with the liquid metal, and the other ends of the two metal wires pass through the hot melt adhesive layer and extend to the outside of the silicone tube to form a backup sensor. The metal wire extending to the outside of the silicone tube is the output end of the backup sensor.

3. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 2, wherein: All liquid metal sensors are evenly spaced on the long jump mat, and all liquid metal sensors are electrically connected to the processor to obtain an intelligent long jump mat, including: The liquid metal sensors are embedded in the long jump mat, with the interval between each two liquid metal sensors being 10 cm; The output end of the liquid metal sensor is the output end of the backup sensor; The output end of the liquid metal sensor is electrically connected to the input end of the processor to obtain an intelligent long jump mat.

4. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 3, wherein: The processor includes: Power supply unit, main control unit, filter unit, ADC conversion unit; The input end of the power supply unit is connected to the output end of the battery; The output end of the power supply unit is connected to the power supply end of the main control unit, the power supply end of the ADC conversion unit, and the power supply end of the filter unit; The input end of the filtering unit is connected to the output end of all liquid metal sensors, and the output end of the filtering unit is connected to the input end of the ADC conversion unit; The data transmission end of the ADC conversion unit is connected to the data transmission end of the main control unit.

5. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 4, wherein: The filtering unit comprises: a plurality of conversion subunits consisting of a sixth resistor, a tenth resistor, and a sixteenth capacitor, wherein the conversion subunits are connected to the liquid metal sensors in a one-to-one correspondence; The first end of the sixth resistor is respectively connected to the first end of the tenth resistor and the output end of one of the liquid metal sensors; The second end of the sixth resistor is connected to the first end of the sixteenth capacitor and the input end of the ADC conversion unit respectively; The second end of the tenth resistor is connected to the output end of the power supply unit; A second terminal of the sixteenth capacitor is grounded.

6. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 5, wherein: Calibrate the voltage measurement values ​​collected by all liquid metal sensors by the processor to adjust the response thresholds of all liquid metal sensors, including: obtaining, by the filtering unit, a voltage measurement value output by the liquid metal sensor, wherein the voltage measurement value is used to represent a pressure change sensed by the liquid metal sensor; Assigning an initial weight to each of the liquid metal sensors by the main control unit, and calculating the voltage measurement values ​​output by all the liquid metal sensors using the initial weight to obtain a weighted average value of all the liquid metal sensors; Predicting the voltage measurement value through Kalman filtering to obtain a voltage estimate at the current moment, and calculating a Kalman gain; updating the voltage estimation value at the current moment based on the Kalman gain and the weighted average value to obtain an updated voltage estimation value; The deviation between the voltage measurement value and the updated voltage estimate value is calculated, and each of the liquid metal sensors adjusts its respective response threshold based on the deviation.

7. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 6, wherein: The calculation expression of the weighted average is: in, Represents the weighted average value of the voltage measurement output at time t, Z i,t represents the voltage measurement value output by the i-th liquid metal sensor at time t, ω i represents the initial weight of the i-th liquid metal sensor.

8. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 7, wherein: The voltage measurement value is predicted by Kalman filtering, and the expression of the voltage estimation value at the current moment is obtained: in, represents the voltage measurement value at time t, It can be the voltage measurement value Z output by the i-th liquid metal sensor at time t i,t , A represents the identity matrix, X t-1 Indicates the voltage measurement value at time t-1.

9. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 8, wherein: The calculation expression of the Kalman gain is: K t =P t ·H T ·(H·P t ·H T +R) -1 Among them, K t represents the Kalman gain, P t represents the error covariance matrix at time t, H represents the observation matrix, and R represents the measurement noise covariance matrix of the liquid metal sensor.

10. The method for acquiring standing long jump data based on the intelligent long jump mat according to claim 9, characterized in that: The calculation expression of the updated voltage estimation value is: Among them, X t Represents the updated voltage estimate at time t.

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