A standing long jump data acquisition method based on an intelligent long jump mat

Abstract

The application provides a standing long jump data acquisition method based on an intelligent long jump mat, wherein compared with the prior art, a plurality of standby sensors are prepared from liquid metal, combined with pressure structures one by one, and a plurality of liquid metal sensors are obtained; all the liquid metal sensors are arranged on the long jump mat at equal intervals to increase the force receiving area of the liquid metal sensors, and all the liquid metal sensors are electrically connected with a processor to obtain an intelligent long jump mat; the response threshold of all the liquid metal sensors is adjusted by the processor, and voltage measurement data are collected by all the liquid metal sensors after the response threshold is 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 mat is taken as 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 application relates to the field of wisdom body side technology, in particular to a standing long jump data acquisition method based on an intelligent long jump mat. BACKGROUND

[0002] Standing long jump is a sports exercise project for developing lower limb explosive force and jumping force. With the progress of society and the development of education, more and more provinces and cities regard standing long jump as a sports training project, and include standing long jump in student sports performance test and entrance examination.

[0003] The long jump mat, as a sports exercise equipment, 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 is to provide elastic take-off area and elastic landing area with rubber or plastic mat, and the take-off area is provided with take-off mark line, and the landing area is provided with distance mark line. The second category is based on the first category of long jump mat, and increases take-off detection, electronic distance measurement, or action teaching function. However, the two types of long jump mats cannot improve the accuracy of the measured data. SUMMARY

[0004] The present application provides a standing long jump data acquisition method based on an intelligent long jump mat, which aims to improve the accuracy of the measured data.

[0005] In order to achieve the above purpose, the present application provides a standing long jump data acquisition method based on an intelligent long jump mat, which comprises:

[0006] A plurality of standby sensors are prepared by using liquid metal, and the liquid metal sensors are combined with the pressure structure one by one to obtain a plurality of liquid metal sensors;

[0007] All liquid metal sensors are arranged on the long jump mat at equal intervals, and all liquid metal sensors are electrically connected with the processor to obtain an intelligent long jump mat;

[0008] The voltage measurement values collected by all liquid metal sensors are calibrated by the processor to adjust the response threshold of all liquid metal sensors, and the voltage measurement data collected by all liquid metal sensors after adjusting the response threshold are used, and the voltage measurement data contains a plurality of voltage measurement values;

[0009] The voltage measurement values outside the response threshold range in the voltage measurement data are determined, and the position of the liquid metal sensor collecting the voltage measurement value on the intelligent long jump mat is taken as the standing long jump data.

[0010] Further, a plurality of liquid metal sensors are prepared by using liquid metal, which comprises:

[0011] A plurality of silica gel tubes are selected as the base material;

[0012] Injecting liquid metal into each silica gel tube;

[0013] Sealing both ends of each silica gel tube by a hot melt adhesive layer;

[0014] Providing a metal wire at each end of each silica gel tube, one end of the two metal wires being in contact with the liquid metal, and the other end of the two metal wires extending to the outside of the silica gel tube through the hot melt adhesive layer to form a backup sensor, the metal wire extending to the outside of the silica gel tube being the output end of the backup sensor.

[0015] Further, 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 an intelligent long jump mat, comprising:

[0016] Embedding the liquid metal sensor in the long jump mat, and the interval between every two liquid metal sensors is 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] Further, the processor comprises:

[0020] A power supply unit, a main control unit, a filter unit, and an ADC conversion unit;

[0021] The input end of the power supply unit is connected to the output end 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] Further, the filter unit comprises:

[0026] A plurality of conversion sub-units composed of a sixth resistor, a tenth resistor, and a sixteenth capacitor, the conversion sub-units being connected one-to-one to the liquid metal sensors;

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

[0028] The second end of the sixth resistor is connected with 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 with the output end of the power supply unit;

[0030] The second end of the sixteenth capacitor is grounded.

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

[0032] The voltage measurement values output by the liquid metal sensors are obtained by the filtering unit, and the voltage measurement values are used to represent the pressure changes sensed by the liquid metal sensors;

[0033] The initial weights are assigned to each liquid metal sensor by the master control unit, and the voltage measurement values output by all the liquid metal sensors are calculated using the initial weights to obtain the weighted average values of all the liquid metal sensors;

[0034] The voltage estimation value at the current time is obtained by predicting the voltage measurement values by Kalman filtering, and the Kalman gain is calculated;

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

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

[0037] Further, the calculation expression of the weighted average value is:

[0038]

[0039] wherein, represents the weighted average value of the voltage measurement value output at the time t, represents the voltage measurement value output by the i-th liquid metal sensor at the time t, represents the initial weight of the i-th liquid metal sensor. Further, the expression of the voltage estimation value at the current time obtained by predicting the voltage measurement values by Kalman filtering is:

[0040] wherein,

[0041] represents the voltage estimation value at the current time, represents the voltage measurement value output by the i-th liquid metal sensor at the time t, represents the initial weight of the i-th liquid metal sensor.

[0042] ​a voltage estimation value state representing a current time point, a unit matrix, a voltage measurement value state representing a previous time point.

[0043] Further, the calculation expression of the Kalman gain is:

[0044]

[0045] wherein, a Kalman gain, a measurement value state, an error covariance matrix at a time point, an observation matrix, a measurement noise covariance matrix of the liquid metal sensor.

[0046] Further, the calculation expression of the updated voltage estimation value is:

[0047]

[0048] wherein, an updated voltage estimation value, at a time point.

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

[0050] Compared with the prior art, the present application uses liquid metal to prepare multiple standby sensors, and combines the standby sensors with pressure structures one by one to obtain multiple liquid metal sensors, which can perceive 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 at equal intervals on a long jump mat to increase the force receiving area of the liquid metal sensors, and all liquid metal sensors are electrically connected with a 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 threshold of all liquid metal sensors, and uses all liquid metal sensors with adjusted response threshold to collect voltage measurement data. The voltage test values outside the response threshold range in the voltage test data are determined, and the position of the liquid metal sensor collecting the voltage test value on the intelligent long jump mat is taken as the standing long jump data, which ensures the accuracy and consistency of the standing long jump data and improves the acquisition accuracy of the standing long jump data.

[0051] Other beneficial effects of the present application will be described in detail in the subsequent specific embodiment part. BRIEF DESCRIPTION OF DRAWINGS

[0052] Figure 1 a flowchart of an embodiment of the present application;

[0053] Figure 2 Preparation process diagram of the spare sensor in the embodiment of the present application;

[0054] Figure 3 Principle block diagram of the processor in the embodiment of the present application;

[0055] Figure 4 Circuit principle diagram of the filter unit in the embodiment of the present application;

[0056] Figure 5 Circuit principle diagram of the ADC conversion unit in the embodiment of the present application;

[0057] Figure 6 Circuit principle diagram of the main control unit in the embodiment of the present application;

[0058] Figure 7 Circuit principle diagram of the power supply unit in the embodiment of the present application.

[0059] Reference signs:

[0060] 1-liquid metal, 2-silica gel tube, 3-metal wire, 4-hot melt adhesive, 5-spare sensor, 6-syringe. DETAILED DESCRIPTION

[0061] In order to make the technical problems to be solved by the present application, the technical solutions and advantages clearer, specific embodiments will be described in detail below with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0062] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third" are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0063] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "linking" should be understood in a broad sense, for example, it can be a locking connection, or 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 a communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0064] In addition, the technical features involved in the different embodiments of the application described below can be combined with each other as long as there is no conflict.

[0065] The present application aims at the existing problems, and provides a standing long jump data acquisition method based on an intelligent long jump mat.

[0066] As Figure 1 shown, the embodiment of the present application provides a standing long jump data acquisition method based on an intelligent long jump mat, which comprises:

[0067] Step 1, a plurality of standby sensors are prepared by using liquid metal, and the liquid metal sensors are combined with pressure structures one by one to obtain a plurality of liquid metal sensors;

[0068] Step 2, all the liquid metal sensors are arranged at equal intervals on the long jump mat, and all the liquid metal sensors are electrically connected with the processor to obtain an intelligent long jump mat;

[0069] Step 3, the voltage measurement values collected by all the liquid metal sensors are calibrated by the processor to adjust the response threshold values of all the liquid metal sensors, and the voltage measurement data collected by all the liquid metal sensors after the response threshold values are adjusted are utilized, wherein the voltage measurement data comprises a plurality of voltage measurement values;

[0070] Step 4, the voltage test values outside the response threshold value range in the voltage test data are determined, and the position of the liquid metal sensor collecting the voltage test value on the intelligent long jump mat is taken as the standing long jump data.

[0071] Specifically, as Figure 2 shown, a plurality of liquid metal sensors are prepared by using liquid metal, which comprises:

[0072] A plurality of silica gel tubes 2 are selected as substrates;

[0073] Liquid metal 1 is injected into each silica gel tube 2;

[0074] Both ends of each silica gel tube 2 are sealed by a hot melt adhesive layer 4;

[0075] A metal wire 3 is arranged at each end of the silica gel tube 2, one end of the two metal wires 3 is in contact with the liquid metal 1, and the other end of the two metal wires 3 extends to the outside of the silica gel tube 2 through the hot melt adhesive layer 4 to form a standby sensor 5, and the metal wire 3 extending to the outside of the silica gel tube 2 is the output end of the standby sensor 5.

[0076] In the embodiment of the present application, the liquid metal 1 is selected to be a gallium-based liquid metal, the substrate is selected to be a silica gel tube 2 with low cost, high resilience and high tear resistance, the outer diameter of the silica gel tube 2 is 1 mm, the inner diameter is 0.5 mm, the length is 70 cm, and the shape is fiber-like, and the material of the metal wire 3 can be copper wire or other materials that can be used as a conductive tool.

[0077] In the embodiment of the present application, the liquid metal 1 is injected into the silica gel tube 2 through the syringe 6.

[0078] It should be noted that in the embodiment of the present application, each silica gel tube 2 can be provided with only one metal wire 3, but the length of the metal wire 3 needs to be greater than the length of the silica gel tube 2, the metal wire 3 penetrates the entire silica gel tube 2, and both ends of the metal wire 3 extend to the outside of the silica gel tube 2 as a connection terminal of the sensor and the processor.

[0079] In the embodiment of the present application, the pressure structure is made of polylactic acid material by 3D printing.

[0080] Specifically, all liquid metal sensors are arranged on the long jump mat at equal intervals, and all liquid metal sensors are electrically connected to the processor to obtain a smart long jump mat, comprising:

[0081] The liquid metal sensor is embedded in the long jump mat, and the interval between every two liquid metal sensors is 10 cm;

[0082] The output end of the liquid metal sensor is the output end of the standby sensor;

[0083] The output end of the liquid metal sensor is electrically connected to the input end of the processor to obtain a smart long jump mat.

[0084] Most preferably, as shown in Figure 3 The processor comprises:

[0085] A power supply unit, a main control unit, a filter unit, and an ADC conversion unit;

[0086] The input end of the power supply unit is connected to the output end of the battery;

[0087] 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;

[0088] The input end of the filtering unit is connected with the output end of all the liquid metal sensors, and the output end of the filtering unit is connected with the input end of the ADC conversion unit;

[0089] The data transmission end of the ADC conversion unit is connected with the data transmission end of the master control unit.

[0090] In the embodiment of the present application, the working principle of the processor is as follows:

[0091] The power supply unit is used for delivering the electrical energy in the battery after voltage reduction to the master control unit, the filtering unit and the ADC conversion unit; the filtering unit is used for transmitting the voltage measurement value received from the output end of all the liquid metal sensors after filtering to the ADC conversion unit; the ADC conversion unit is used for delivering the voltage measurement value after conversion to the master control unit; the master control unit is used for calibrating the converted voltage measurement value, adjusting the response threshold of all the liquid metal sensors, and obtaining the voltage measurement data collected by all the liquid metal sensors after adjusting the response threshold; the master control unit is used for determining the voltage measurement value outside the response threshold range in the voltage measurement data, obtaining the position of the liquid metal sensor collecting the voltage measurement value on the intelligent long jump mat, and taking the position as the standing long jump data.

[0092] Most preferably, the filtering unit comprises:

[0093] A plurality of conversion sub-units composed of the sixth resistor R6, the tenth resistor R10 and the sixteenth capacitor C16, as shown in Figure 4 The conversion sub-unit is connected with the liquid metal sensor one by one.

[0094] The first end of the sixth resistor R6 is connected with the first end of the tenth resistor R10 and the output end of one of the plurality of liquid metal sensors respectively.

[0095] The second end of the sixth resistor R6 is connected with the first end of the sixteenth capacitor C16 and the input end of the ADC unit respectively.

[0096] The second end of the tenth resistor R10 is connected with the output end of the power supply unit.

[0097] The second end of the sixteenth capacitor C16 is grounded.

[0098] In the embodiment of the present application, the voltage measurement value output by the liquid metal sensor is input to the filtering unit through the first end of the sixth resistor R6, the power output by the power supply unit is input to the filtering 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.

[0099] Most preferably, the ADC conversion unit is composed of a conversion chip ADS1256, a voltage reference chip LM285D and its peripheral circuit, and the specific connection relationship is as shown in Figure 5 The sixth pin to the thirteenth pin of the conversion chip correspondingly connect a group of conversion sub-units to receive the voltage measurement value, the fifteenth pin, the twentieth pin to the twenty-fourth pin of the conversion chip are connected with the data transmission end of the master control unit to send the voltage measurement value, and the first pin of the conversion chip is connected with the output end of the power supply unit to receive +5V power supply.

[0100] Most preferably, the master control unit includes a master control chip STM32F103C8T6, a crystal circuit, an indication circuit, a reset circuit, a serial port and a burning interface, and the specific connection relationship is as shown in Figure 6 The twenty-first pin, the twenty-second pin, the twenty-fifth pin to the twenty-eighth pin of the master control chip are connected with the fifteenth pin, the twentieth pin to the twenty-fourth pin of the conversion chip one by one, the third pin to the sixth pin of the master control chip are connected with the crystal circuit, the seventh pin of the master control chip is connected with the reset circuit, the second pin of the master control chip is connected with the indication circuit, the thirtieth pin and the thirty-first pin of the master control chip are connected with the serial port, and the thirty-fourth pin and the thirty-seventh pin of the master control chip are connected with the burning interface.

[0101] Most preferably, the power supply unit includes an indication circuit, an interface, a two-stage voltage reduction chip AMS1117 and the peripheral circuit of the voltage reduction chip, and the specific connection relationship is as shown in Figure 7 The interface is connected with the battery to access the power supply, the first-stage voltage reduction chip outputs +5V power supply to the filter unit, the ADC conversion unit and the second-stage voltage reduction chip, and the second-stage voltage reduction chip outputs 3.3V power supply to the indication circuit and the master control unit.

[0102] Specifically, the processor calibrates all the liquid metal sensor collected voltage measurement values to adjust the response threshold of all the liquid metal sensors, including:

[0103] The filter unit obtains the voltage measurement value output by the liquid metal sensor, and the voltage measurement value is used to represent the pressure change perceived by the liquid metal sensor;

[0104] The master control unit assigns an initial weight to each liquid metal sensor, and calculates the weighted average value of all the liquid metal sensors by using the initial weight of the voltage measurement value output by all the liquid metal sensors;

[0105] The Kalman filter is used to predict the voltage measurement value to obtain the voltage estimation value at the current time, and the Kalman gain is calculated.

[0106] The voltage estimate at the current moment is updated based on Kalman gain and weighted average value to obtain the updated voltage estimate.

[0107] 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.

[0108] In this embodiment of the invention, the initial weights are adjusted based on factors such as the location of each liquid metal sensor, the amplitude of signal value fluctuations, and the number of times significant pressure changes are detected.

[0109] The preferred method is to use the following expression to calculate the weighted average:

[0110]

[0111] in, Indicates in The weighted average of the voltage measurements output at any given time. Indicates the first A liquid metal sensor in The voltage measurement value output at any given time. Indicates the first Initial weights for each liquid metal sensor.

[0112] The preferred method is to predict the voltage measurement using Kalman filtering, and the expression for the voltage estimate at the current moment is:

[0113]

[0114] in, express Voltage estimate at time _____ Represents the identity matrix. express Voltage measurement at time -1.

[0115] The preferred method is to use the following expression to calculate the Kalman gain:

[0116]

[0117] in, Indicates Kalman gain, The observation matrix is ​​used to describe the relationship between the estimated vector and the measured vector. The measurement noise covariance matrix of the liquid metal sensor is determined by the characteristics of the liquid metal sensor itself. express The error covariance matrix at time t is expressed as:

[0118]

[0119] wherein, represents a noise covariance matrix, the size of the noise is estimated by statistical analysis after the voltage measurement is collected, the noise covariance matrix is modified in the filtering and debugging process to balance between response speed and robustness to optimize the parameters of the processor.

[0120] Most preferably, the calculation expression of the updated voltage estimation value is:

[0121]

[0122] wherein, represents the updated voltage estimation value at the moment.

[0123] Most preferably, the calculation expression of the bias is:

[0124]

[0125] If the bias exceeds the preset noise threshold, i.e. the bias range that the processor can tolerate, it indicates that the current threshold of the liquid metal sensor is not suitable, and the response threshold of the sensor needs to be adjusted , is a learning rate (adjustment factor), which is usually a positive number less than 1, and determines the speed of threshold adjustment, is the response threshold at the next moment, and the expression is:

[0126]

[0127] The response threshold is smoothed, and the expression is:

[0128]

[0129] wherein, is a smoothing factor, which takes a constant close to 1.

[0130] The embodiment of the present application takes the smoothed response threshold as the standard for determining whether the sensor is subjected to external extrusion. Assuming that the tester jumps onto the long jump mat, since the foot length of a normal tester is generally between 20-28 cm, the liquid metal sensors will be extruded in most cases, and the voltage collected by the extruded liquid metal sensors will greatly exceed the response threshold. The control unit will quickly capture the signals of the 2-3 channels exceeding the response threshold, and determine the position of the last sensor as the position of the heel landing, which is the standing long jump result of the tester.

[0131] In the embodiment of the present application, a visualization unit such as a display screen can be arranged on the intelligent long jump mat to visually present the standing long jump data, a man-machine interface can be arranged to achieve further intelligentization, and the wireless communication unit can be used to communicate with a remote management system loaded on a computer or a mobile terminal, so that the standing long jump data obtained can be uploaded to the computer or the mobile terminal for the user to check at any time.

[0132] Compared with the prior art, the embodiment of the present application uses liquid metal to prepare multiple standby sensors, combines the standby sensors with pressure structures one by one, obtains multiple liquid metal sensors, senses the change of pressure through the deformation and flow of the liquid metal, and improves the sensitivity of the sensor; all the liquid metal sensors are arranged on the long jump mat at equal intervals to increase the force receiving area of the liquid metal sensor, all the liquid metal sensors are electrically connected with the processor, and the intelligent long jump mat is obtained; the processor calibrates the voltage measurement values collected by all the liquid metal sensors to adjust the response threshold of all the liquid metal sensors, and uses all the liquid metal sensors with adjusted response thresholds to collect voltage measurement data; the voltage test values outside the response threshold range in the voltage test data are determined, and the position of the liquid metal sensor collecting the voltage test value on the intelligent long jump mat is taken as the standing long jump data, so that the accuracy and consistency of the standing long jump data are ensured, and the acquisition accuracy of the standing long jump data is improved.

[0133] The above is the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, several improvements and refinements can be made without departing from the principles of the present application, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A method for acquiring standing long jump data based on an intelligent long jump mat, characterized in that, include: Multiple spare sensors are fabricated using liquid metal, and each liquid metal sensor is combined with a pressure structure to obtain multiple liquid metal sensors. Multiple liquid metal sensors were fabricated using liquid metal, including: Multiple silicone tubes were selected as the substrate; Liquid metal is injected into each of the aforementioned silicone tubes; Both ends of each silicone tube are sealed with a hot melt adhesive layer; A metal wire is provided at both ends of each silicone tube. One end of each metal wire is in contact with the liquid metal, and the other end of each metal wire extends through the hot melt adhesive layer 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. 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. The processor includes a power supply unit, a main control unit, a filtering unit, and an ADC conversion unit. The processor calibrates the voltage measurements collected by all liquid metal sensors to adjust the response thresholds of all liquid metal sensors, and uses all the liquid metal sensors with adjusted response thresholds to collect voltage measurement data, which includes multiple voltage measurements. The processor calibrates the voltage measurements acquired by all liquid metal sensors to adjust the response thresholds of all liquid metal sensors, including: The voltage measurement value output by the liquid metal sensor is obtained through the filtering unit, and the voltage measurement value is used to characterize the pressure change sensed by the liquid metal sensor; The main control unit assigns an initial weight to each liquid metal sensor, and uses the initial weight to calculate the voltage measurement values ​​output by all liquid metal sensors to obtain a weighted average value of all liquid metal sensors. The voltage measurement value is predicted by Kalman filtering to obtain the voltage estimate at the current moment, and the Kalman gain is calculated. The voltage estimate at the current moment is updated based on the Kalman gain and the weighted average value to obtain the updated voltage estimate. The deviation between the measured voltage value and the updated voltage estimate is calculated, and each of the liquid metal sensors adjusts its respective response threshold based on the deviation; The voltage measurement value outside the response threshold range in the voltage measurement data is determined, and the position of the liquid metal sensor that collects the voltage measurement value on the smart long jump mat is used as the standing long jump data.

2. The standing long jump data acquisition method based on an intelligent long jump mat according to claim 1, characterized in that, 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 the intelligent long jump mat, which includes: The liquid metal sensor is embedded in the long jump mat, with a 10-centimeter interval between every two liquid metal sensors; The output terminal of the liquid metal sensor is the output terminal of the backup sensor; Electrically connecting the output of the liquid metal sensor to the input of the processor yields a smart long jump mat.

3. The standing long jump data acquisition method based on an intelligent long jump mat according to claim 2, characterized in that, The input terminal of the power supply unit is connected to the output terminal of the battery; The output terminal of the power supply unit is connected to the power supply terminal of the main control unit, the power supply terminal of the ADC conversion unit, and the power supply terminal of the filter unit. The input terminal of the filtering unit is connected to the output terminal of all liquid metal sensors, and the output terminal of the filtering unit is connected to the input terminal of the ADC conversion unit. The data transmission terminal of the ADC conversion unit is connected to the data transmission terminal of the main control unit.

4. The standing long jump data acquisition method based on a smart long jump mat according to claim 3, characterized in that, The filtering unit includes: Multiple sets of conversion sub-units, each consisting of a sixth resistor, a tenth resistor, and a sixteenth capacitor, are connected one-to-one with the liquid metal sensor. The first end of the sixth resistor is 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; 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; The second terminal of the sixteenth capacitor is grounded.

5. The standing long jump data acquisition method based on a smart long jump mat according to claim 4, characterized in that, The formula for calculating the weighted average is: ； in, Indicates in The weighted average of the voltage measurements output at any given time. Indicates the first A liquid metal sensor in The voltage measurement value output at any given time. Indicates the first Initial weights for each liquid metal sensor.

6. The standing long jump data acquisition method based on a smart long jump mat according to claim 5, characterized in that, The voltage measurement value is predicted using Kalman filtering, and the expression for the voltage estimate at the current moment is as follows: ； in, express Voltage estimate at time t. Represents the identity matrix. express Voltage measurement at time -1.

7. The standing long jump data acquisition method based on a smart long jump mat according to claim 6, characterized in that, The Kalman gain is calculated using the following expression: ； in, Indicates Kalman gain, express The error covariance matrix at time t. Represents the observation matrix. This represents the measurement noise covariance matrix of the liquid metal sensor.

8. The standing long jump data acquisition method based on a smart long jump mat according to claim 7, characterized in that, The formula for calculating the updated voltage estimate is as follows: ； in, express The voltage estimate updated at each time step.

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