Method for determining the weight of a user

Abstract

The present technical solution relates to the field of computing. A method for determining the weight of a user of an electric personal mobility device includes the following steps of: determining the power of the motor of an electric personal mobility device using a power meter; determining the speed of travel of the electric personal mobility device using a speed sensor; determining a change in the height of the personal mobility device relative to sea level using an altimeter; and transmitting the aforesaid data collected from the sensor and the meters to an IOT module for subsequent automatic data processing, wherein the following take place specifically in the IOT module: the acceleration and distance traveled by the electric personal mobility device are calculated taking into account speed and time data, and also the weight of the user of the electric personal mobility device is determined on the basis of the following relationship: the mass of the personal mobility device with the user during travel is directly proportional to the propulsive power of the in-wheel motor and inversely proportional to the product of the speed of travel and the total acceleration.

Description

[0001] METHOD FOR DETERMINING USER WEIGHT

[0002] AREA OF TECHNOLOGY

[0003] The present technical solution relates to the field of computer technology, in particular to a method for determining the weight of a user of an electric personal mobility device.

[0004] LEVEL OF TECHNOLOGY

[0005] A solution selected as the closest analogue, CN106339919A, is known from the prior art. This invention discloses a scooter rental system based on the Internet of Things and a scooter rental method. The system comprises a cloud server, at least one vehicle terminal and at least one control terminal. Vehicle terminals are used to create vehicle information and upload vehicle information to the cloud server. Control terminals are used to receive query information entered by users and upload query information to the cloud server. The cloud server is used to obtain vehicle information and query information, determine leased vehicle information in accordance with vehicle information and query information and transmit leased vehicle information to control terminals.The control terminals are used to display the rental vehicle information, receive the rental instructions entered by users, and transmit the rental instructions to the cloud server. The cloud server is used to receive the rental instructions, generate the unlock keys, and transmit the unlock keys to the vehicle terminal corresponding to the vehicle ID of the target vehicle.

[0006] The proposed technical solution is aimed at eliminating the shortcomings of the current level of technology and differs from known solutions in that the proposed method ensures high-quality determination of the weight of the user of an electric personal mobility device.

[0007] ESSENCE OF THE INVENTION

[0008] The technical problem, which the claimed solution is aimed at solving, is the creation of a method for determining the weight of a user of an electric personal mobility device. Additional embodiments of the present invention are presented in the dependent claims of the invention.

[0009] The technical result consists in simplifying the design of an electric personal mobility vehicle.

[0010] The claimed result is achieved by implementing a method for determining the weight of a user of an electric personal mobility device, which includes the following stages: using a power meter, the power of the motor of the electric personal mobility device is determined; using a speed sensor, the speed of movement of the electric personal mobility device is determined; using an altitude meter, the change in the altitude of the personal mobility device relative to sea level is determined;the above-mentioned data collected from the sensor and measuring devices are transmitted to the UT module for further automatic data processing, namely, the UT module calculates the acceleration and the distance traveled by the electric personal mobility vehicle taking into account the speed and time data, and also determines the weight of the user of the electric personal mobility vehicle based on the relationship: the mass of the personal mobility vehicle with the user during movement is directly proportional to the traction power of the motor-wheel and inversely proportional to the product of the speed of movement and the total acceleration.

[0011] In a particular embodiment of the described method, the electric means of individual mobility is an electric scooter.

[0012] DETAILED DESCRIPTION OF THE INVENTION

[0013] In the following detailed description of the embodiment of the invention, numerous implementation details are provided in order to provide a clear understanding of the present invention. However, it will be obvious to one skilled in the art how the present invention can be used both with and without these implementation details. In other instances, well-known methods, procedures and components have not been described in detail in order not to unnecessarily obscure the features of the present invention. Furthermore, it will be clear from the foregoing that the invention is not limited to the implementation shown. Numerous possible modifications, changes, variations and substitutions will be obvious to those skilled in the art without departing from the spirit and form of the present invention.

[0014] In this technical solution, electric personal mobility devices mean at least electric scooters.

[0015] Kicksharing personal mobility vehicles are intended for simultaneous use by no more than one user. However, this rule is often violated. In this regard, the kicksharing service faces the task of determining situations when two people are riding electric personal mobility vehicles at the same time. The present invention describes a method for determining the weight of a user of an electric personal mobility vehicle, which allows for the effective determination of the mass of the scooter together with the user(s).

[0016] This technical solution allows to simplify the design of the electric personal mobility device, since this technology for determining the user's weight does not imply the installation of a weight sensor in the design of the electric personal mobility device. It should be noted that the installation of a weight sensor significantly complicates the design of the electric personal mobility device, increases the overall weight, reduces its strength, and also significantly increases the requirements for further repair.

[0017] As an algorithm for determining the user's mass, it is proposed to use the dependence of the power spent on acceleration on the mass of the object. In other words, the heavier the user, the more difficult it will be to accelerate the personal mobility device together with him.

[0018] During a ride on a personal mobility device, the power of the motor-wheel is spent on providing acceleration, overcoming friction and changing potential energy. That is, everything that happens to the personal mobility device during a ride can be characterized as an expression using the Law of Conservation of Energy or Newton's Second Law: or where m is the mass of the personal mobility vehicle with the user, is the slope angle of the road, s is the distance traveled in time t.

[0019] Thus, to determine the mass of the user (including the scooter) at a specific moment in time, you can use the formula:

[0020] Based on the above expression, to determine the user's weight, you need to know:

[0021] 1. Power of the motor of the electric personal mobility vehicle;

[0022] 2. The speed of movement of the electric personal mobility vehicle;

[0023] 3. Acceleration (calculated taking into account the velocity data, namely the velocity measured at the current iteration - the velocity measured at the previous iteration / delta time between iterations);

[0024] 4. Distance traveled (can also be obtained from the speed, knowing the time, namely, with minor accelerations and short time intervals, the distance traveled can be found as the product of the average speed and time);

[0025] 5. Change of height;

[0026] All the above data can be obtained using:

[0027] 1 . Speed ​​sensor;

[0028] 2. Power meter;

[0029] 3. Height meter;

[0030] It should be noted that the data can be collected by means of the motor controller, which is part of the electric personal mobility device, to which the 1оТ module is connected. The LPS22HB mems sensor, which is installed on the 1оТ module board, can be used as an altitude meter, and is essentially a pressure meter, however, the data on the pressure change under certain conditions is sufficient to determine the change in altitude. The loT (Internet of Things - loT) module is a set of one or more printed circuit boards on which the following are installed: a microcontroller, a communication module (GSM, Bluetooth), a memory unit (RAM and ROM), one or more digital interfaces (UART, CAN), a power supply circuit, various sensors (accelerometer, gyroscope, magnetometer, barometer, temperature sensor, etc.) as well as sound and light indication devices.

[0031] All elements of the 1оТ module are interconnected and perform pre-set functions. For example, the microcontroller is the main element of the 1оТ module and, thanks to a specially configured operating system, it performs the main interactions between the other elements of the module.

[0032] On board the personal mobility device, the 1оТ module performs a number of critical tasks, namely: communicates with the server and transmits control commands to the personal mobility device; collects, analyzes and sends information about the state of the personal mobility device to the server, as well as other information received from built-in sensors (operability, battery charge level, etc.); if necessary, communicates with the user's mobile device.

[0033] Example of implementation.

[0034] The data on the wheel speed and the consumed electric power are read by the 1oT module directly from the motor controller (ECU) at a frequency of approximately 10 Hz. Also inside the 1oT module, in addition to such sensors as an accelerometer, gyroscope and magnetometer, there is a barometer, which is used to determine the change in altitude. The barometer readings are measured at a frequency of 10 Hz. Thus, all the necessary data is processed ten times per second, namely:

[0035] 1) according to the barometric expression, the change in pressure is converted into a change in altitude;

[0036] 2) using the timestamps of the received data, taking into account the speed data, the path traveled since the last measurement is determined;

[0037] 3) using the time stamps of the received data, taking into account the speed data, the current acceleration is determined;

[0038] 4) using the change in altitude and the value of the distance traveled since the last measurement, the slope angle of the road along which the electric personal mobility vehicle is moving is determined.

[0039] If the consumed electric power is above 0, the speed is above 0 and the acceleration is above or equal to 0, then it is possible to determine the approximate mass of the user with the electric personal mobility device. The obtained mass value is compared (checked) with the permissible range (cannot be negative or too large) and added to the array of mass measurements. Each measurement contains both useful information and measurement noise. Therefore, the obtained array must be processed, i.e., the noise must be filtered out. For these purposes, the widely known median filter is used. In a particular case, to determine the mass of the user on a specific trip, based on the assumption that the user's mass does not change within one trip, the median value of the array of mass measurements accumulated during this trip is taken.

[0040] Although the invention has been described with reference to the disclosed embodiments, it will be apparent to those skilled in the art that the specific experiments described in detail are provided merely for the purpose of illustrating the present invention and should not be considered as limiting the scope of the invention in any way. It will be understood that various modifications can be made without departing from the spirit of the present invention.

Claims

Formula 1. A method for determining the weight of a user of an electric personal mobility device, comprising the following steps: using a power meter to determine the power of the motor of the electric personal mobility device; using a speed sensor to determine the speed of the electric personal mobility device; using an altitude meter to determine the change in the altitude of the personal mobility device relative to sea level;The above-mentioned data collected from the sensor and measuring devices are transmitted to the UT module for further automatic data processing, namely, the UT module calculates the acceleration and distance traveled by the electric personal mobility vehicle taking into account the speed and time data, and also determines the weight of the user of the electric personal mobility vehicle based on the relationship: the mass of the personal mobility vehicle with the user during movement is directly proportional to the traction power of the motor-wheel and inversely proportional to the product of the speed of movement and the total acceleration.

2. The method according to claim 1, wherein the electric personal mobility device is an electric scooter. 7

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