CN113139852B - Overload prevention method and device for shared vehicle and electronic equipment - Google Patents
Overload prevention method and device for shared vehicle and electronic equipment Download PDFInfo
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- 230000002265 prevention Effects 0.000 title claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 147
- 238000012549 training Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 11
- 238000003062 neural network model Methods 0.000 claims description 7
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/08—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for incorporation in vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
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- G06Q50/40—
Abstract
The embodiment of the invention discloses an overload prevention method and device for shared vehicles and electronic equipment, wherein the method comprises the following steps: acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user; if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user; if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals; when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and power is cut off to stop the shared vehicle; therefore, overload detection of the shared vehicle used by the user is realized, and overload misjudgment caused by other reasons is prevented.
Description
Technical Field
The invention relates to the technical field of vehicle control, in particular to an overload prevention method and device for shared vehicles and electronic equipment.
Background
With the gradual development of the sharing economy, the sharing vehicle is promoted to be popularized in life, and becomes a sharp tool for solving the problem of the last kilometer of people going out. Shared vehicles can be seen everywhere in streets and alleys of various cities, and the shared vehicles are connected with vehicles such as buses and subways to solve the problem of the last kilometer of travel. The shared vehicles play an important role in relieving traffic jam pressure and protecting the environment.
The popularization of shared vehicles brings great convenience for people to go out, but a plurality of problems still exist in the using process of the shared vehicles, such as that users of the shared vehicles pay attention to protecting electric vehicles, overload, and take more than two people at the same time, and the like are increasingly serious. However, in the prior art, a fixed weight range is often set to detect whether overload occurs, which easily causes misjudgment, for example, when a user whose weight is close to the upper limit value of the weight range rides on a bumpy road, the bump is generated due to bumping, and misjudgment is caused.
Disclosure of Invention
In order to overcome the defect that whether overload is detected or not by setting a fixed weight range in the prior art, which is easy to cause misjudgment, one of the objects of the present application is to provide an overload protection method for a shared vehicle, wherein the shared vehicle comprises a pressure sensor arranged on a vehicle seat, and the method comprises the following steps:
acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user;
if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user;
if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals;
and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and the power is cut off so that the shared vehicle stops.
In an optional implementation, the historical riding data includes a user constant riding track, and a vibration frequency and a vibration amplitude of the shared vehicle at the current user constant riding track detected by the pressure sensor, and the method further includes:
and inputting the historical weight of the current user and the historical riding data into a pre-trained matching model to obtain a weight detection range corresponding to the current user.
In an optional implementation, the method further includes:
calculating a weight detection range corresponding to the current user according to the weight of the current user and the historical riding data;
acquiring a training sample consisting of the weight of the current user, the historical riding data and a weight detection range corresponding to the current user;
and inputting the training sample into a preset neural network model to obtain the matching model.
In an optional implementation manner, the sending an overload reminder if the weight of the current user exceeds the weight detection range includes:
and if the weight of the current user exceeds the weight detection range and an unlocking instruction sent by the user terminal is received, the unlocking instruction is not responded, and an overload prompt is sent.
In an optional implementation manner, after obtaining the weight of the user by acquiring the data collected by the pressure sensor in real time, the method further includes:
if the current user is a newly registered user, judging whether the weight of the current user exceeds a standard weight detection range, wherein the standard weight detection range is determined according to the weight detection range of a preset user in the area where the current user is located, and the preset user is a user of which the difference value with the age of the current user is within a preset age range;
if the weight of the current user exceeds the standard weight detection range, sending overload reminding at intervals of preset time;
and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the standard weight detection range, and the power is cut off to stop the shared vehicle.
In an optional implementation, the method further includes:
calculating the amplitude of the weight detection range according to the weight detection range of a preset user in the area where the current user is located;
and calculating the standard weight detection range according to the amplitude and the weight of the current user.
In an optional implementation manner, the sending an overload reminder if the weight of the current user exceeds the standard weight detection range includes:
and if the weight of the current user exceeds the standard weight detection range and an unlocking instruction sent by a user terminal is received, the unlocking instruction is not responded, and the overload reminding is sent.
Another object of the present application is to provide an overload prevention apparatus for a shared vehicle, the shared vehicle including a pressure sensor provided to a base, the apparatus including:
the acquisition module is used for acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user;
the judging module is used for judging whether the weight of the current user exceeds a weight detection range corresponding to the current user if the current user is a registered user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user;
the reminding module is used for sending overload reminding at intervals of preset time if the weight of the current user exceeds the weight detection range;
and the control module is used for cutting off power to stop the shared vehicle when the weight data of the current user still exceeds the weight detection range after the reminding times of the overload reminding reach a preset threshold value.
Another object of the present application is to provide an electronic device, comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is executed by the processor to implement the steps of the overload protection method for a shared vehicle provided by the present application.
Another object of the present application is to provide a readable storage medium, in which a computer program is stored, which when executed, implements the steps of the overload prevention method for the shared vehicle provided by the present application.
Compared with the prior art, the method has the following beneficial effects:
the application provides an overload protection method for a shared vehicle, which comprises the following steps: acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user; if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user; if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals; when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and power is cut off to stop the shared vehicle; because the weight detection range of the user is determined according to the historical weight and the historical riding data of the user, the customization of the user is realized, and the probability of misjudgment is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort. Like components are numbered similarly in the various figures.
Fig. 1 is a flowchart of an overload protection method for sharing a vehicle according to an embodiment of the present disclosure;
FIG. 2 is a flowchart of another overload protection method for a shared vehicle according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an overload detection apparatus for a shared vehicle according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present application, it is noted that the terms "first", "second", "third", and the like are used merely for distinguishing between descriptions and are not intended to indicate or imply relative importance.
In the description of the present application, it is also to be noted that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Referring to fig. 1, an embodiment of the present application provides an overload protection method for a shared vehicle, where the shared vehicle includes a pressure sensor disposed on a vehicle seat, and the method specifically includes the following steps:
s10: and acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user.
In this embodiment, after the user sits on the seat of the shared vehicle, the pressure is applied to the seat, so that the pressure sensor detects the pressure value of the pressure applied to the seat by the user, and the pressure value can be used as the current weight of the user for subsequent overload detection. S20: and if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user.
When the user uses the shared vehicle each time, the riding data of the user at this time is collected, and after the user uses the shared vehicle, the historical riding data is updated by using the riding data at this time, so that the historical riding data is more perfect.
Each registered user has a corresponding weight detection range, and the weight detection range is determined by the historical weight and the historical riding data of the user, so that the weight detection range of the user can be updated every time the historical weight and the historical riding data of the user are updated, and the weight detection range of the user is more accurate.
The historical riding data comprises a user constant riding track, and the vibration frequency and the vibration amplitude of the shared vehicle on the current user constant riding track, which are detected by the pressure sensor.
Since the user often jolts in the riding process, and then the vehicle shakes, the pressure value that the pressure sensor detects that the saddle bears is not the true weight of the user, so the condition of the shake that the shared vehicle appears in the user's track of often traveling needs to be considered when customizing the weight detection range for the user, and the change condition of the pressure value that the pressure sensor detects is decided by the shake frequency and the shake amplitude.
In this embodiment, in order to make the weight detection range more accurate, the weight detection range is determined by using the function of artificial neural network self-learning, and the specific determination method of the weight detection range is as follows:
and inputting the historical weight of the current user and the historical riding data into a pre-trained matching model to obtain a weight detection range corresponding to the current user.
In this embodiment, the data included in the historical riding data is not limited to the user's constant riding track and the vibration frequency and vibration amplitude of the shared vehicle in the user's constant riding track, and any factor that can affect the pressure detected by the pressure sensor can be used as the historical riding data and recorded, such as the gradient of a certain road section in the user's constant riding track.
The embodiment of the application provides a method for training a matching model, wherein the weight detection range based on a user is obtained by outputting the pre-trained matching model, and the pre-trained matching model is obtained by the following steps:
a: and calculating the weight detection range corresponding to the current user according to the weight of the current user and the historical riding data.
In this embodiment, the historical riding data includes the vibration frequency and vibration amplitude of the shared vehicle in the user's usual riding track, and the pressure range detected by the pressure sensor when the shared vehicle jolts can be calculated according to the weight of the user and the vibration frequency and vibration amplitude of the shared vehicle, and the pressure range can be used as the weight detection range of the user, and meanwhile, the pressure value detected by the pressure sensor can be recorded in combination with specific experiments and jolt simulation, so that the weight detection range of the user can be modified and adjusted, and the most appropriate weight detection range can be obtained.
B: and obtaining a training sample consisting of the weight of the current user, the historical riding data and the weight detection range corresponding to the current user.
In this embodiment, the weight of the user, the user's normal riding track, and the vibration frequency and vibration amplitude of the shared vehicle in the user's normal riding track, which affect the pressure value detected by the pressure sensor, are used as input samples in the training samples. Meanwhile, other influence factors can be added as input samples according to actual conditions. And taking the weight detection range of the user obtained in the previous step as an output sample in the training sample.
C: and inputting the training sample into a preset neural network model to obtain the matching model.
In this embodiment, the neural network model in this embodiment may be constructed using a residual shrinkage neural network, a convolutional neural network, a multi-layer perceptual neural network, and the like, and the neural network model is not particularly limited herein.
S30: and if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals.
In the present embodiment, since the case where the pressure value becomes high due to the occurrence of the bumping of the vehicle has been considered when the weight detection range is set, when the pressure value detected by the pressure sensor of the vehicle seat exceeds the weight detection range, the case where the overload occurs on the vehicle seat is explained. At this time, the vehicle sends an overload reminder, such as a voice prompt to "overloaded," and the reminder is sent out at regular intervals.
In an optional implementation manner, the sending an overload warning if the weight of the current user exceeds the weight detection range includes:
and if the weight of the current user exceeds the weight detection range and an unlocking instruction sent by the user terminal is received, the unlocking instruction is not responded, and an overload prompt is sent.
In this embodiment, in order to better avoid the overload riding situation, the weight detection range of the user can be immediately obtained after the user logs in, and meanwhile, the pressure value detected by the pressure sensor is obtained, and whether the pressure value exceeds the weight detection range of the user is judged. And if the detected pressure value exceeds the weight detection range of the user and the user sends an unlocking request through the terminal equipment, the vehicle does not respond to the unlocking instruction and sends an overload reminding. Thus, the user can not unlock the vehicle to use the overloaded vehicle under the condition of the overloaded vehicle.
S40: and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and the power is cut off so that the shared vehicle stops.
In this embodiment, a threshold is set for the number of reminders, and when the number of reminders reaches the threshold, the current vehicle is still overloaded, and the power supply of the current vehicle is cut off. Not only gives the user a certain time to handle the overload condition, but also ensures the driving safety of the user.
Referring to fig. 2, another overload protection method for a shared vehicle is provided in the embodiments of the present application, in which a user using the shared vehicle has a new registered user in addition to a registered user. Since the new registered user has no history data and cannot set a corresponding weight detection range for the new registered user, on the basis of the foregoing embodiment, after step S10, the method further includes:
s21: if the current user is a newly registered user, judging whether the weight of the current user exceeds a standard weight detection range, wherein the standard weight detection range is determined according to the weight detection range of a preset user in the area where the current user is located, and the preset user is a user of which the difference value with the age of the current user is within a preset age range;
in this embodiment, since there is no corresponding weight detection range for the newly registered user, the standard weight detection range is required for overload protection detection of the newly registered user. When a new registered user logs in, the age information and the positioning information of the new registered user can be obtained, so that all users in the area where the new registered user is located and similar to the age of the new registered user are determined, and the standard weight detection range is determined according to the weight detection range of the users.
Specifically, the standard body weight detection range is determined by the following steps:
a1: calculating the amplitude of the weight detection range according to the weight detection range of a preset user in the area where the current user is located;
in this embodiment, after acquiring the age of the new registered user, an age range may be determined, for example, if the age of the new registered user is 20 years, the age range is 18-22 years, and the range of the age range may be set according to actual situations. And then determining the area where the new registered user is located according to the positioning information of the new registered user, and searching for the registered user with the age range of 18-22 years in the area. And determining the amplitude of the weight detection range according to the searched weight detection range of the registered user. For example, two searched weight detection ranges of the registered user are respectively 50-55kg and 60-70kg, so that the two weight detection ranges can be determined to be respectively 5kg and 10 kg. The magnitude of the standard weight detection range is 7.5kg for this new registered user.
B1: and calculating the standard weight detection range according to the amplitude and the weight of the current user.
In this embodiment, if the weight information of the newly registered user is 65kg, the standard weight detection range should be 65-72.5kg in combination with the above-mentioned range of 7.5 kg.
According to the steps, the standard weight detection range for carrying out overload prevention detection is determined for the newly registered user.
S31: if the weight of the current user exceeds the standard weight detection range, sending overload reminding at intervals of preset time;
in the present embodiment, the standard weight detection range is set with reference to the weight detection range of the relevant user, and the weight detection range of the relevant user takes the vehicle pitching into account, so the standard weight detection range also takes the vehicle pitching into account. Therefore, when the pressure value detected by the pressure sensor of the vehicle seat exceeds the weight detection range, it is indicated that the vehicle seat is overloaded. At this time, the vehicle sends an overload reminder, such as a voice prompt to "overloaded," and the reminder is sent out at regular intervals.
In an optional implementation manner, the sending an overload warning if the weight of the current user exceeds the standard weight detection range includes:
and if the weight of the current user exceeds the standard weight detection range and an unlocking instruction sent by a user terminal is received, the unlocking instruction is not responded, and the overload reminding is sent.
In this embodiment, in order to better avoid the overload riding situation, the newly registered user immediately acquires the standard weight detection range of the newly registered user after logging in, and simultaneously acquires the pressure value detected by the pressure sensor, and determines whether the pressure value exceeds the standard weight detection range of the newly registered user. And if the detected pressure value exceeds the standard weight detection range of the new registered user and the new registered user sends an unlocking request through the terminal equipment, the vehicle does not respond to the unlocking instruction and sends an overload prompt. This makes it possible that, in the event of an overloaded vehicle, the newly registered user cannot unlock the lock to use the overloaded vehicle.
S41: and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the standard weight detection range, and the power is cut off to stop the shared vehicle.
In this embodiment, the processing method of the new registered user and the registered user when the overload condition occurs is the same. And setting a threshold value for the reminding times, and cutting off the power supply of the current vehicle when the current vehicle is still in an overload condition when the reminding times reach the threshold value.
According to the overload protection method for the shared vehicle provided by the embodiment of the application, the method comprises the following steps: acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user; if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user; if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals; when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and power is cut off to stop the shared vehicle; because the weight detection range of the user is determined according to the historical weight and the historical riding data of the user, the customization of the user is realized, and the probability of misjudgment is reduced.
Referring to fig. 3, an overload protection device 1000 for a shared vehicle is provided, the shared vehicle including a pressure sensor disposed on a base, the device including:
an obtaining module 1001, configured to obtain data collected by the pressure sensor in real time to obtain a weight of a current user;
a determining module 1002, configured to determine whether the weight of the current user exceeds a weight detection range corresponding to the current user if the current user is a registered user, where the weight detection range is determined according to the historical weight and the historical riding data of the current user;
a reminding module 1003, configured to send an overload reminding every preset time if the weight of the current user exceeds the weight detection range;
and the control module 1004 is configured to, after the number of times of the overload reminding reaches a preset threshold, cut off power to stop the shared vehicle when the weight data of the current user still exceeds the weight detection range.
In an embodiment of the present application, in order to make the weight detection range more accurate, the weight detection range is determined by using a function of artificial neural network self-learning, and the apparatus further includes:
a determination module: the device comprises a pressure sensor, a matching model and a weight detection range, wherein the matching model is used for inputting the historical weight of the current user and the historical riding data into a pre-trained matching model to obtain the weight detection range corresponding to the current user, and the historical riding data comprises a user constant riding track and the vibration frequency and the vibration amplitude of the shared vehicle on the current user constant riding track detected by the pressure sensor.
A calculation module: the device is used for calculating the weight detection range corresponding to the current user according to the weight of the current user and the historical riding data;
a sample module: the training sample is used for acquiring the weight of the current user, the historical riding data and a training sample consisting of a weight detection range corresponding to the current user;
a training module: and the matching model is obtained by inputting the training sample into a preset neural network model.
In an embodiment of the present application, to enhance control of the shared vehicle when overloaded, the apparatus further comprises an unlocking module: and if the weight of the current user exceeds the weight detection range, receiving an unlocking instruction sent by a user terminal, not responding to the unlocking instruction and sending an overload prompt.
In this embodiment of the application, in order to perform overload prevention detection on a newly registered user, the determining module is further configured to: if the current user is a newly registered user, judging whether the weight of the current user exceeds a standard weight detection range, wherein the standard weight detection range is determined according to the weight detection range of a preset user in the area where the current user is located, and the preset user is a user of which the difference value with the age of the current user is within a preset age range;
the reminding module is also used for: if the weight of the current user exceeds the standard weight detection range, sending overload reminding at intervals of preset time;
the control module is further configured to: and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the standard weight detection range, and the power is cut off to stop the shared vehicle.
The calculation module is further to: calculating the amplitude of the weight detection range according to the weight detection range of a preset user in the area where the current user is located;
the calculation module is further to: and calculating the standard weight detection range according to the amplitude and the weight of the current user.
The unlocking module is also used for: and if the weight of the current user exceeds the standard weight detection range and an unlocking instruction sent by a user terminal is received, the unlocking instruction is not responded, and the overload reminding is sent.
The overload protection device for the shared vehicle provided by the embodiment of the application can realize each process of the overload protection method for the shared vehicle in the method embodiments of fig. 1 or fig. 2, achieve the same technical effect, and is not repeated here to avoid repetition.
The embodiment of the application provides a terminal device, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program is executed by the processor to realize the steps of the overload prevention method for the shared vehicle provided by the embodiment of the application.
The embodiment of the application provides a readable storage medium, wherein a computer program is stored in the readable storage medium, and when the computer program is executed, the computer program realizes the steps of the overload protection method for the shared vehicle provided by the embodiment of the application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a portable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.
Claims (8)
1. An overload prevention method for a shared vehicle, wherein the shared vehicle comprises a pressure sensor provided to a vehicle seat, the method comprising:
acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user;
if the current user is a registered user, judging whether the weight of the current user exceeds a weight detection range corresponding to the current user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user;
if the weight of the current user exceeds the weight detection range, sending overload reminding at preset time intervals;
when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the weight detection range, and power is cut off to stop the shared vehicle;
wherein the historical riding data comprises a user constant riding track, and a vibration frequency and a vibration amplitude of the shared vehicle detected by the pressure sensor in the current user constant riding track, the method further comprising:
inputting the historical weight of the current user and the historical riding data into a pre-trained matching model to obtain a weight detection range corresponding to the current user, wherein the training process of the matching model comprises the following steps:
calculating a weight detection range corresponding to the current user according to the weight of the current user and the historical riding data;
obtaining a training sample consisting of the weight of the current user, the historical riding data and the weight detection range corresponding to the current user;
and inputting the training sample into a preset neural network model to obtain the matching model.
2. The method of claim 1, wherein the sending an overload reminder every preset time if the weight of the current user is beyond the weight detection range comprises:
and if the weight of the current user exceeds the weight detection range and an unlocking instruction sent by the user terminal is received, the unlocking instruction is not responded, and an overload prompt is sent.
3. The method of claim 1, wherein the obtaining data collected by the pressure sensor in real time, after obtaining the weight of the user, further comprises:
if the current user is a newly registered user, judging whether the weight of the current user exceeds a standard weight detection range, wherein the standard weight detection range is determined according to the weight detection range of a preset user in the area where the current user is located, and the preset user is a user of which the difference value with the age of the current user is within a preset age range;
if the weight of the current user exceeds the standard weight detection range, sending overload reminding at intervals of preset time;
and when the reminding times of the overload reminding reach a preset threshold value, the weight data of the current user still exceed the standard weight detection range, and the power is cut off to stop the shared vehicle.
4. The method of claim 3, further comprising:
calculating the amplitude of the weight detection range according to the weight detection range of a preset user in the area where the current user is located;
and calculating the standard weight detection range according to the amplitude and the weight of the current user.
5. The method of claim 3, wherein sending an overload alert if the current user's weight is outside the standard weight detection range comprises:
and if the weight of the current user exceeds the standard weight detection range and an unlocking instruction sent by a user terminal is received, the unlocking instruction is not responded, and the overload reminding is sent.
6. An overload prevention device for a shared vehicle, the shared vehicle including a pressure sensor disposed on a base, the device comprising:
the acquisition module is used for acquiring data acquired by the pressure sensor in real time to obtain the weight of the current user;
the judging module is used for judging whether the weight of the current user exceeds a weight detection range corresponding to the current user if the current user is a registered user, wherein the weight detection range is determined according to the historical weight and the historical riding data of the current user;
the reminding module is used for sending overload reminding at intervals of preset time if the weight of the current user exceeds the weight detection range;
the control module is used for cutting off power to stop the shared vehicle when the weight data of the current user still exceeds the weight detection range after the reminding frequency of the overload reminding reaches a preset threshold value;
wherein the historical riding data comprises a user constant riding track, and the vibration frequency and vibration amplitude of the shared vehicle detected by the pressure sensor on the current user constant riding track, the device further comprises:
the determining module is used for inputting the historical weight of the current user and the historical riding data into a pre-trained matching model to obtain a weight detection range corresponding to the current user, wherein the training process of the matching model comprises the following steps:
calculating a weight detection range corresponding to the current user according to the weight of the current user and the historical riding data;
acquiring a training sample consisting of the weight of the current user, the historical riding data and a weight detection range corresponding to the current user;
and inputting the training sample into a preset neural network model to obtain the matching model.
7. An electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, carries out the steps of the method of overload prevention of a shared vehicle according to any one of claims 1 to 5.
8. A readable storage medium, having stored thereon a computer program which, when executed, carries out the steps of the method of overload prevention for a shared vehicle according to any one of claims 1 to 5.
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