A method, device and computer equipment for detecting passengers on a motorcycle

Abstract

The present invention discloses a method, device and computer equipment for detecting people on an electric motorcycle. The method comprises the following steps: the vehicle obtains the vehicle weight in real time and uploads the vehicle weight data to a server, the server determines whether the current user has registered an account, if the user has registered an account for the first time, the user reports his / her own weight through a user terminal and the server records the current user's vehicle weight in real time, the server determines whether the current user's vehicle weight meets a second preset threshold, if the user has not registered an account for the first time, the vehicle is unlocked for riding, the server determines whether the current user's vehicle weight meets the first preset threshold, and when the server determines that it does not meet the threshold, a corresponding process of requiring the weight to be re-reported or the motor power supply to be cut off is performed; thereby realizing the detection of users using electric motorcycles to carry people, and achieving an accurate and highly applicable method.

Description

Technical Field

[0001] The present invention relates to the technical field of shared electric motorcycles, and specifically to an electric motorcycle passenger detection method, device and computer equipment. Background Art

[0002] With the promotion of shared bicycles, people's short-distance travel of 1-3 kilometers has been better guaranteed. For the demand for long-distance travel of 5-30 kilometers, shared electric motorcycles have emerged. Electric motorcycle travel is light, convenient, fast, cheap, energy-saving and environmentally friendly. However, most electric motorcycles currently have the social problem of two or more people riding on the same motorcycle to save money and convenience, resulting in vehicle overload. In order to better control social traffic and ensure the riding safety of users, electric bicycles need to have a passenger detection function.

[0003] For example, the invention patent with application publication number CN113139852A in the prior art discloses a method, device and electronic device for preventing overloading of shared vehicles. The method includes: obtaining data collected by the pressure sensor in real time to obtain the user's weight; if the user is a registered user, judging whether the user's weight exceeds the corresponding weight detection range of the user, and the weight detection range is determined according to the user's historical weight and historical riding data; if the user's weight exceeds the detection range, sending an overload reminder; when the number of reminders of the overload reminder reaches a certain number, the user's weight data still exceeds the detection range, and the power is cut off to stop the shared vehicle. This method has some disadvantages as follows: 1. After the user end is reminded of the overload, the vehicle power supply ends, and the user can only re-scan the code to unlock or change the vehicle to ride, which increases the cumbersome steps for the user to use the vehicle; 2. There is a threshold number of times for the user's overload reminder. During the threshold number of reminders, there is a possibility of harm at any time, and the threshold number of reminders is not conducive to protecting the user's riding safety; 3. The standard weight detection range for the weight of new users refers to the standard range, ignoring some new users with special weights, reducing the use experience of these new users. Therefore, there is an urgent need for a new solution to solve the above technical problems. Based on this, the present invention designs a method, device and computer equipment for detecting passengers on an electric motorcycle to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a method, device and computer equipment for detecting passengers on a motorcycle to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for detecting a person on an electric motorcycle, comprising the following steps:

[0006] The vehicle obtains the vehicle weight in real time and uploads the vehicle weight data to the server, and the server determines whether the current user has registered an account;

[0007] When the current user registers an account for the first time, the user reports his weight through the user terminal and the server records the current user's vehicle weight in real time, and the server determines whether the current user's vehicle weight meets the second preset threshold;

[0008] If the current user's vehicle weight does not exceed the second preset threshold, the user's weight reporting sample is prompted to be correct, and the server sends a vehicle start command, and the vehicle is unlocked for riding;

[0009] If the current vehicle weight of the user exceeds the second preset threshold, the user terminal is prompted with an incorrect weight reporting sample, and the user terminal requires the user to re-report his / her own weight, and the user continues to report his / her own weight;

[0010] When the current user is not registering an account for the first time and the vehicle is unlocked for riding, the server determines whether the vehicle load weight of the current user meets the first preset threshold;

[0011] If the current user's vehicle weight meets the first preset threshold, the vehicle continues to be powered and obtains the vehicle weight in real time, the server obtains and records the data in real time, and the server continues to determine whether the current user's weight meets the first preset threshold;

[0012] If the current user's vehicle weight does not meet the first preset threshold, the server sends a vehicle passenger instruction, the user terminal prompts the user that the vehicle is overloaded, the vehicle stops supplying power to the motor, and the server continues to determine whether the current user's vehicle weight meets the first preset threshold.

[0013] Preferably, the vehicle obtains the vehicle weight in real time and uploads the vehicle weight to the server, including continuous vehicle weight detection; in a long-term stationary state, after deep learning of artificial intelligence, the vehicle performs self-calibration through self-calculation within a certain range, and automatically returns to zero through learning judgment after a large number of errors occur in the vehicle weight data under the same conditions.

[0014] Preferably, the second preset threshold value includes a data reference range that is set in advance by the vehicle based on the weight data reported by the user.

[0015] Preferably, the user reports his own weight through the user terminal and the server records the reported own weight in real time in the current user's weight, including recording the reported own weight in the current user's account in real name.

[0016] Preferably, the first preset threshold value includes a data reference range that is set in advance based on the historical vehicle weight detection data recorded in the current user account.

[0017] Preferably, the server sends a vehicle passenger instruction, including simultaneously prompting the user end that the current vehicle is overloaded and the vehicle immediately stops supplying power to the motor.

[0018] Preferably, the vehicle stops supplying power to the motor, including continuously supplying power to the entire vehicle except the motor, while continuously obtaining the vehicle weight of the current user in real time and uploading the vehicle weight to a server, and then the server determines whether the current user's vehicle weight meets a first preset threshold. If it meets the first preset threshold, the vehicle resumes powering the motor.

[0019] The present invention also provides a motorcycle passenger detection device, the device comprises a passenger weighing module and a terminal controller module, the passenger weighing module comprises a pressure sensor module and a signal processing module;

[0020] Pressure sensor module, used for real-time detection and acquisition of analog signals;

[0021] The signal processing module is used to convert the analog signal into a digital signal, and filter and calculate the digital signal to obtain stable vehicle weight detection data;

[0022] The terminal controller module is used to compensate and calibrate the vehicle weight detection data, report the calculated data and control the vehicle.

[0023] The present invention also provides a computer device, including a processor and a memory, wherein a computer program is stored in the memory, and when the processor runs the computer program, the steps of the shared electric motorcycle operation and maintenance management method described above are executed.

[0024] The present invention also provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, the steps of the shared electric motorcycle operation and maintenance management method described above are executed.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows: after the user is reminded of overload, the entire vehicle except the motor continues to be powered, and at the same time the vehicle weight is continuously obtained and uploaded to the server, which determines whether the vehicle motor can be powered. The user does not need to re-scan the code to unlock or change the vehicle to ride, but only needs to resolve the problem of vehicle overload to continue using the vehicle, which is convenient for the user to continue to use the vehicle; the user's overload reminder includes prompts from the user end and the vehicle voice on the one hand, and control of the vehicle motor being powered off and unable to start on the other hand. When the vehicle overload problem occurs, it is stopped as soon as possible, which is beneficial to protecting the user's riding safety; for the weight of newly registered users, an autonomous input method is adopted in combination with vehicle weight detection, which truly realizes the customization of user riding and increases the accuracy of judging whether there are people riding. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0027] Figure 1 The present invention is a flow chart of a method for detecting a person on a motorcycle;

[0028] Figure 2 A flow chart of the method for detecting passengers on a motorcycle when registering an account for the first time;

[0029] Figure 3 A flow chart of a method for detecting passengers on a motorcycle for accounts that are not registered for the first time;

[0030] Figure 4 This is a schematic diagram of the structure of a motorcycle passenger detection device;

[0031] Figure 5 An uncalibrated sample image provided by an embodiment of the present application;

[0032] Figure 6 A calibrated sample image provided for an embodiment of the present application;

[0033] Figure 7 A diagram of a vehicle overload state provided in an embodiment of the present application;

[0034] Figure 8 Two diagrams of vehicle overload status provided in an embodiment of the present application. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0036] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position 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 a limitation on the present invention.

[0037] See also Figure 1-3The present invention provides a technical solution: a method for detecting a person on an electric motorcycle, comprising the following steps:

[0038] S100, the vehicle obtains the vehicle weight in real time;

[0039] In this embodiment, when the user starts to apply pressure to the vehicle and the vehicle ends its stationary state, the passenger weighing module detects and collects the vehicle weight data in real time. After confirming the user account information, the vehicle weight data will be summarized in the user account information and used for the user's subsequent vehicle weight judgment.

[0040] S200, the vehicle reports the vehicle load weight;

[0041] In this embodiment, the passenger weighing module detects and collects the vehicle weight data in real time, and the vehicle reports the vehicle weight data to the server in real time, and the server records the vehicle weight data.

[0042] S300, the server determines whether the current user has registered an account;

[0043] In this embodiment, after the server receives and saves the vehicle weight data uploaded by the vehicle, the current user scans the code to apply for vehicle unlocking. The server responds to the unlocking application and determines whether the current user is a registered account. If the current user is in a different registration status, the corresponding different process methods are performed.

[0044] S400, first time account registration;

[0045] In this embodiment, when the current user registers an account for the first time, there is no riding record or weight record in the new account.

[0046] S410, the server records the current vehicle weight of the user in real time;

[0047] In this embodiment, when the server determines that the current user is a first-time registered user, the server records the currently saved vehicle weighing data into the account of the first-time registered user, and the first-time registered user then has the first-time vehicle weighing data record.

[0048] S420, the user reports his / her weight through the user terminal;

[0049] In this embodiment, when the server determines that the current user is registering an account for the first time, it simultaneously sends a weight reporting instruction to the user terminal. The user terminal responds to the weight reporting instruction and a weight reporting box pops up. The user needs to report his or her weight according to the instructions before proceeding to the next step.

[0050] S430, the server determines whether the current vehicle weight of the user meets the second preset threshold;

[0051] In this embodiment, the user reports the weight to the user terminal, and the user terminal uploads the reported weight to the server, and the server determines whether the current user's vehicle weight meets the second preset threshold value, and the second preset threshold value refers to the data reference range set in advance by the vehicle based on the weight data reported by the user;

[0052] See also Figure 6 In one embodiment, the user reports that his weight is 50 kg, and the server sets the parameter of the second preset threshold to 30%. Therefore, the maximum value of the second preset threshold is 60 kg, and the minimum value is 40 kg. The second preset threshold is an interval consisting of the maximum value of 60 kg and the minimum value of 40 kg. If the real-time vehicle weight detection data falls within the second preset threshold, the server determines that the current user's vehicle weight meets the second preset threshold.

[0053] S440, reporting that the weight does not exceed a second preset threshold;

[0054] In this embodiment, the server determines that the current user's vehicle weight meets the second preset threshold value, that is, the vehicle weight detection data acquired in real time is within the second preset threshold value.

[0055] S450, prompting the user end that the weight reported is correct;

[0056] In this embodiment, the server determines and sends a message to the user end, and the user end receives a pop-up box indicating that the weight report is correct. After confirmation, the vehicle unlocking step can be performed.

[0057] S460, the server sends a vehicle start instruction;

[0058] In this embodiment, the server receives a vehicle unlocking request from a user terminal, responds to the unlocking request of the current user, and issues a vehicle unlocking process instruction.

[0059] S510, unlocking the vehicle for riding;

[0060] In this embodiment, the user end receives and executes the vehicle unlocking process instruction. The current user operates according to the vehicle unlocking process. After completing all adaptation operations, the vehicle is unlocked and the vehicle motor is powered. At this time, the current user account status is no longer a first-time registration account. After the vehicle is unlocked and riding begins, the vehicle weight is continuously obtained in real time for the server to make further judgments.

[0061] S470, reporting that the weight exceeds a second preset threshold;

[0062] In this embodiment, the server determines that the current user's vehicle weight does not meet the requirements based on the second preset threshold, that is, the vehicle weight detection data acquired in real time is not within the second preset threshold.

[0063] S480, prompting the user end that the weight report sample is incorrect;

[0064] In this embodiment, the server determines that the information is sent to the user terminal, and the user terminal receives a pop-up window indicating that the weight report is incorrect.

[0065] S490, the user terminal requires the user to re-report his / her weight;

[0066] In this embodiment, the user terminal pops up a weight reporting box again, and the user needs to report his or her accurate weight again according to the instructions until the weight report is correct, and then proceed to the next step;

[0067] In one of the embodiments, if the current user fills in the weight as the sum of the weights of two people, and two people are riding in the vehicle at the same time, resulting in the vehicle weight detected by the passenger detection module meeting the second preset threshold, the server misjudges the data, causing the user to ride with passengers but not be restricted. If the current user has a situation in the future where the curve floating value drops too much, the vehicle will also issue a voice warning. The user end will also remind the user that there was a phenomenon of riding with passengers before and persuade the user that it is prohibited to ride with passengers in the vehicle. The server will overwrite the previous historical error data with the data of this unmanned weighing and re-record it.

[0068] S500, not the first registration account;

[0069] In this embodiment, when the current user is not registering an account for the first time, the current user is not registering an account for the first time and there are already riding records and weight records on the account, which can be used as basic data for judgment.

[0070] S510, unlocking the vehicle for riding;

[0071] In this embodiment, the current user makes a vehicle unlocking request through the user terminal, the server responds to the request, sends a vehicle unlocking instruction, the vehicle receives and executes the instruction, unlocks the vehicle for the user to ride, and performs steps S100 and S200 in real time.

[0072] S520, the server determines whether the current vehicle weight of the user meets the first preset threshold;

[0073] In this embodiment, the server receives the vehicle weight acquired and uploaded by the vehicle in real time, and determines whether the current user's vehicle weight meets the first preset threshold value according to the server. The first preset threshold value refers to the data reference range set in advance by the vehicle based on the historical vehicle weight detection data recorded in the current user account;

[0074] See also Figure 7In one of the embodiments, the historical vehicle weight recorded in the current user account of the user end is a physical curve, and the server sets the parameter of the first preset threshold to 60%, so the maximum value of the first preset threshold is the virtual long curve at the upper end of the physical curve, and the minimum value is the virtual long curve at the lower end of the physical curve. The first preset threshold is the interval composed of the virtual long curve at the upper end of the physical curve and the virtual long curve at the lower end of the physical curve. The real-time vehicle weight detection data is distributed around the first preset threshold as shown in the figure. It can be clearly seen that between 2 seconds and 14 seconds, the real-time vehicle weight falls within the first preset threshold. After 14 seconds, the real-time vehicle weight is directly displayed outside the first preset threshold. The server determines that the current user's vehicle weight does not meet the first preset threshold, which means that the vehicle is overloaded, and two people are overloaded when they sit down one after another.

[0075] S530: The vehicle is continuously powered, and the vehicle weight is obtained and uploaded in real time;

[0076] In this embodiment, if the server determines that the current user's vehicle load weight meets the first preset threshold, it means that the current user is in a non-overload mode, and the vehicle continues to supply power to the entire vehicle, while performing steps S100 and S200 in real time.

[0077] S540, the server acquires and records data in real time;

[0078] In this embodiment, the server receives the vehicle weight acquired and uploaded in real time from the vehicle, and records the vehicle weight data in the current user account for artificial intelligence deep learning. The server continues to determine whether the current user's weight meets the first preset threshold, and the cycle continues until the current user actively locks and parks the car.

[0079] S560, the server sends a vehicle passenger-carrying instruction;

[0080] In this embodiment, the server determines that the current user's vehicle load weight does not meet the first preset threshold, which means that the current user is in overload mode. Then, the server issues a vehicle manning instruction, which includes S570 and S580 and is executed simultaneously.

[0081] S570, the user terminal prompts the user that the vehicle is overloaded;

[0082] In this embodiment, the user terminal prompts the user through a warning pop-up window. In addition, the vehicle responds to the vehicle passenger command and issues a voice prompt, so that the user is aware of the event and can respond accordingly.

[0083] S580, the vehicle stops supplying power to the motor;

[0084] In this embodiment, the vehicle responds to the vehicle-carrying command and quickly stops supplying power to the vehicle's motor, making it impossible for the user to use the vehicle to ride and move. The server continues to determine whether the current user's weight meets the first preset threshold based on the current user's real-time vehicle weight detection data. Only when the current user's real-time vehicle weight detection data determines that the current user's weight meets the first preset threshold, the vehicle will continue to power the entire vehicle, and the cycle will continue until the user actively locks and stops the vehicle.

[0085] See also Figure 8 In one embodiment, the historical vehicle weight recorded in the current user account of the user terminal is a physical curve, and the server sets the parameter of the first preset threshold to 60%, so the maximum value of the first preset threshold is the virtual long curve at the upper end of the physical curve, and the minimum value is the virtual long curve at the lower end of the physical curve. The first preset threshold is the interval composed of the virtual long curve at the upper end of the physical curve and the virtual long curve at the lower end of the physical curve. The real-time vehicle weight detection data is distributed around the first preset threshold as shown in the figure. It can be clearly seen that between 2 seconds and 4 seconds, the real-time vehicle weight falls within the first preset threshold. After 4 seconds, the real-time vehicle weight is directly displayed outside the first preset threshold. The server determines that the current user vehicle weight does not meet the first preset threshold, which is an overloaded vehicle, and it is an overload with two people sitting at the same time;

[0086] See also Figure 4 , the embodiment of the present application provides a motorcycle passenger detection device, the device includes a passenger weighing module 100 and a terminal controller module 200, the passenger weighing module 100 includes a pressure sensor module 110 and a signal processing module 120;

[0087] The pressure sensor module 110 is used to detect and collect analog signals in real time;

[0088] The signal processing module 120 is used to convert the analog signal into a digital signal, and filter and calculate the digital signal to obtain stable vehicle weight detection data;

[0089] The terminal controller module 200 is used to perform compensation calibration on the vehicle weight detection data, and report the calculated data and control the vehicle.

[0090] See also Figure 5 and Figure 6 , Figure 5 is an uncalibrated sample image, which is an analog signal collected by the pressure sensor module 110. The voltage signal is then converted into a digital signal by the signal processing module 120, and the digital signal is further filtered by the signal processing module 120 to obtain a sample image of stable quality data, such as Figure 5 As shown in Figure 1, even if the user's reported weight is accurate, the vehicle's onboard weight detection data shows deviation. When the onboard weight detection data is calibrated, such as Figure 6 As shown, the vehicle weight detection data is normalized and the next step can be continued; in addition, when a large number of errors occur in the vehicle weight data, it is automatically reset to zero through learning judgment to ensure that the vehicle weight detection data is accurate.

[0091] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0092] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for detecting a person on a motorcycle, applied to a server, characterized in that: The method comprises: The vehicle obtains the vehicle weight in real time and uploads the vehicle weight data to the server, and the server determines whether the current user has registered an account; When the current user registers an account for the first time, the user reports his weight through the user terminal and the server records the current user's vehicle weight in real time, and the server determines whether the current user's recorded vehicle weight meets the second preset threshold; If the current user's vehicle weight does not exceed the second preset threshold, the user's weight reporting sample is prompted to be correct, and the server sends a vehicle start command, and the vehicle is unlocked for riding; If the current vehicle weight of the user exceeds the second preset threshold, the user terminal is prompted with an incorrect weight reporting sample, and the user terminal requires the user to re-report his / her own weight, and the user continues to report his / her own weight; When the current user is not registering an account for the first time and the vehicle is unlocked for riding, the server determines whether the vehicle load weight of the current user meets the first preset threshold; If the current user's vehicle weight meets the first preset threshold, the vehicle continues to be powered and obtains the vehicle weight in real time, the server obtains and records the data in real time, and the server continues to determine whether the current user's weight meets the first preset threshold; If the current user's vehicle weight does not meet the first preset threshold, the server sends a vehicle passenger instruction, the user terminal prompts the user that the vehicle is overloaded, the vehicle stops supplying power to the motor, and the server continues to determine whether the current user's vehicle weight meets the first preset threshold.

2. A method for detecting a person on a motorcycle according to claim 1, characterized in that: The vehicle obtains the vehicle weight in real time and uploads the vehicle weight to the server, including: the vehicle performs continuous vehicle weight detection; in a long-term static state, after deep learning of artificial intelligence, the vehicle performs self-calibration through self-calculation within a certain range, and automatically returns to zero through learning judgment after a large number of errors occur in the vehicle weight data under the same conditions.

3. The method for detecting a person on a motorcycle according to claim 1, characterized in that: The second preset threshold value includes: the vehicle sets a data reference range in advance based on the weight data reported by the user.

4. The method for detecting a person on a motorcycle according to claim 1, characterized in that: The user reports his own weight through the user terminal and the server records the current user weight in real time, including: reporting the own weight, and recording the reported own weight in the current user's account with real name.

5. The method for detecting a person on a motorcycle according to claim 1, characterized in that: The first preset threshold value includes: the vehicle sets a predetermined data reference range based on the historical vehicle weight detection data recorded in the current user account.

6. The method for detecting a person on a motorcycle according to claim 1, characterized in that: The server sends a vehicle passenger instruction, including: simultaneously prompting the user end that the current vehicle is overloaded and the vehicle immediately stops supplying power to the motor.

7. The method for detecting a person on a motorcycle according to claim 1, characterized in that: The vehicle stops supplying power to the motor including: continuously supplying power to the entire vehicle except the motor, and continuously obtaining the vehicle weight of the current user in real time and uploading the vehicle weight to a server, and then the server determines whether the current user's vehicle weight meets a first preset threshold, and if it meets the first preset threshold, the vehicle resumes powering the motor.

8. The electric motorcycle passenger detection device of the electric motorcycle passenger detection method according to any one of claims 1 to 7, characterized in that: The device comprises a manned weighing module and a terminal controller module, and the manned weighing module comprises a pressure sensor module and a signal processing module; Pressure sensor module, used for real-time detection and acquisition of analog signals; The signal processing module is used to convert the analog signal into a digital signal, and filter and calculate the digital signal to obtain stable vehicle weight detection data; The terminal controller module is used to compensate and calibrate the vehicle weight detection data, report the calculated data and control the vehicle.

9. A computer device, characterized in that: It comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the steps of the method for detecting passengers on an electric motorcycle as claimed in any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed, implements the steps of the method for detecting passengers on an electric motorcycle as described in any one of claims 1-7.

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