Electric bicycle supervision method and device, electric bicycle, electronic equipment and storage medium

Abstract

The application provides an electric bicycle supervision method and device, an electric bicycle, electronic equipment and a storage medium, wherein the method comprises: in the case that the motion state of the electric bicycle changes from static to motion, performing pressure sensing detection on the electric bicycle to obtain pressure sensing data of the electric bicycle; in the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data is lower than a second preset threshold, performing visual detection on a user riding on the electric bicycle to obtain visual detection data of the user; and performing electric bicycle speeding supervision and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data. The method, device, electronic equipment and storage medium provided by the application ensure the accuracy and reliability of electric bicycle supervision through the combination of pressure sensing data and visual detection data, do not require a large number of human resources in the process, improve the efficiency of electric bicycle supervision, and improve the convenience of electric bicycle supervision.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric bicycle supervision, and in particular to an electric bicycle supervision method and device, an electric bicycle, an electronic device and a storage medium. BACKGROUND

[0002] At present, the number of shared electric bicycles invested by various shared enterprises is increasing, but the quality of the vehicle users is uneven, some riders will overload, and some riders will not sit on the cushion during riding (also known as flying), which is easy to cause traffic accidents and has great safety hazards, bringing great inconvenience to the management of the government and shared enterprises.

[0003] In the prior art, the flying and / or overload of the electric bicycle needs to be supervised artificially, however, a large amount of human resources is required in the process, which reduces the efficiency of the electric bicycle supervision. SUMMARY

[0004] The present application provides an electric bicycle supervision method and device, an electric bicycle, an electronic device and a storage medium, to solve the defect that the flying and / or overload of the electric bicycle needs to be supervised artificially in the prior art, however, a large amount of human resources is required in the process, which reduces the efficiency of the electric bicycle supervision.

[0005] The present application provides an electric bicycle supervision method, comprising:

[0006] In the case that the motion state of the electric bicycle changes from static to motion, the pressure sensing detection of the electric bicycle is performed to obtain the pressure sensing data of the electric bicycle;

[0007] In the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, the visual detection of the user on the electric bicycle is performed to obtain the visual detection data of the user;

[0008] Based on the pressure sensing data and the visual detection data, the flying and / or overload of the electric bicycle is supervised.

[0009] According to the electric bicycle supervision method provided by the present application, the visual detection of the user on the electric bicycle in the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold comprises:

[0010] In the case that the pressure sensing data exceeds a first preset threshold, the number of users is visually detected;

[0011] Or,

[0012] In a case where the pressure sensing data is lower than a second preset threshold, the sitting posture of the riding user is visually detected.

[0013] According to the electric bicycle supervision method provided by the application, in a case where the pressure sensing data is lower than a second preset threshold, the sitting posture of the riding user is visually detected, which comprises:

[0014] In a case where the pressure sensing data is lower than a second preset threshold, the riding user is regionally detected to obtain region detection data.

[0015] Based on the region detection data, the sitting posture of the riding user is visually detected.

[0016] According to the electric bicycle supervision method provided by the application, based on the pressure sensing data and the visual detection data, electric bicycle flying and / or electric bicycle overload supervision is performed, which comprises:

[0017] In a case where the pressure sensing data and the visual detection data both indicate that there is flying or overload, video recording is performed to obtain video recording data.

[0018] Based on the video recording data, electric bicycle flying and / or electric bicycle overload supervision is performed.

[0019] According to the electric bicycle supervision method provided by the application, based on the video recording data, electric bicycle flying and / or electric bicycle overload supervision is performed, which comprises:

[0020] The video recording data is uploaded to a supervision platform for electric bicycle flying and / or electric bicycle overload supervision.

[0021] The application further provides an electric bicycle supervision device, which comprises:

[0022] A pressure sensing data acquisition unit is configured to perform pressure sensing detection on the electric bicycle in a case where the motion state of the electric bicycle changes from static to motion, and acquire pressure sensing data of the electric bicycle.

[0023] A visual detection data acquisition unit is configured to perform visual detection on a riding user on the electric bicycle in a case where the pressure sensing data exceeds a first preset threshold or the pressure sensing data is lower than a second preset threshold, and acquire visual detection data of the riding user.

[0024] A supervision unit is configured to perform electric bicycle flying and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data.

[0025] The electric bicycle is provided with a pressure sensor in a seat cushion, and a visual sensor is arranged on a handlebar of the electric bicycle, the pressure sensor is used for pressure sensing detection of the electric bicycle, and the visual sensor is used for visual detection of a user riding on the electric bicycle.

[0026] According to the electric bicycle provided by the application, the electric bicycle is further provided with a communication device, and the communication device is used for uploading the video recording data to a supervision platform for electric bicycle supervision.

[0027] The application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the electric bicycle supervision method according to any one of the above when executing the program.

[0028] The application further provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the electric bicycle supervision method according to any one of the above.

[0029] The application further provides a computer program product, including a computer program, and the computer program is executable on a processor to implement the electric bicycle supervision method according to any one of the above.

[0030] The electric bicycle supervision method, device, electric bicycle, electronic device and storage medium provided by the application combine pressure sensing data and visual detection data, further guarantee the accuracy and reliability of electric bicycle supervision, the process does not require a large number of human resources, improves the efficiency of electric bicycle supervision, and improves the convenience of electric bicycle supervision. Moreover, the pressure sensing detection of the electric bicycle is only performed when the motion state of the electric bicycle changes from static to motion, the visual detection of the user riding on the electric bicycle is only performed when the pressure sensing data exceeds the first preset threshold or the pressure sensing data is lower than the second preset threshold, the energy consumption of the central control device can be saved, and a large amount of computing resources can be saved. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the application or prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0032] Figure 1 is one of the flowcharts of the electric bicycle supervision method provided by the application;

[0033] Figure 2Figure 2 is a flowchart of the electric bicycle supervision method provided by the present application;

[0034] Figure 3 Figure 1 is a structural schematic diagram of the electric bicycle supervision device provided by the present application.

[0035] Figure 4 Figure 1 is a structural schematic diagram of the electric bicycle supervision device provided by the present application. DETAILED DESCRIPTION

[0036] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described clearly and completely below with reference to the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0037] The terms "first", "second", and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of a kind.

[0038] The electric bicycle referred to in the following embodiments can be a shared electric bicycle, a shared moped, or a shared electric tricycle, and the embodiments of the present application do not make specific limitations thereon. The shared electric bicycle body is provided with a central control device for realizing automatic control of shared bicycle business, such as pressure sensing control, visual sensing control, lock control, trip calculation, server interaction, etc. of the shared electric bicycle.

[0039] The present application provides an electric bicycle supervision method, Figure 1 Figure 1 is a structural schematic diagram of the electric bicycle supervision device provided by the present application. Figure 1 As shown in the figure, the method comprises:

[0040] Step 110, in the case that the motion state of the electric bicycle changes from static to motion, performing pressure sensing detection on the electric bicycle to obtain pressure sensing data of the electric bicycle.

[0041] Specifically, after the bicycle is lent out, the central control device will detect the motion state of the electric bicycle in real time or at intervals. The motion state of the electric bicycle can be obtained by speed detection or by judging whether the electric bicycle is moving.

[0042] If it is judged that the motion state of the electric bicycle changes from static to motion, it indicates that the user is likely to be riding, at this time, the electric bicycle can be subjected to pressure sensing detection to obtain pressure sensing data of the electric bicycle.

[0043] Here, the pressure sensing detection of the electric bicycle can be implemented by a pressure sensor in the seat cushion of the electric bicycle, and the pressure sensing data of the electric bicycle reflects the pressure sensing condition in the seat cushion of the electric bicycle.

[0044] Step 120, when the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, visual detection is performed on the user riding on the electric bicycle to obtain visual detection data of the user.

[0045] Specifically, after obtaining the pressure sensing data, the pressure sensing data can be compared with the first preset threshold and the second preset threshold to determine whether visual detection needs to be performed on the user riding on the electric bicycle.

[0046] That is, when the pressure sensing data exceeds the first preset threshold, visual detection can be performed on the user riding on the electric bicycle to obtain visual detection data of the user, and when the pressure sensing data exceeds the second preset threshold, visual detection can be performed on the user riding on the electric bicycle to obtain visual detection data of the user, which is not specifically limited by the embodiment of the application.

[0047] The first preset threshold can be 80 kg, 85 kg, 90 kg, etc., which is not specifically limited by the embodiment of the application. The visual detection data reflects the visual detection condition of the user riding on the electric bicycle.

[0048] The second preset threshold can be 0 kg, 5 kg, etc., which is not specifically limited by the embodiment of the application.

[0049] It can be understood that when the pressure sensing data exceeds the first preset threshold, the electric bicycle can be overloaded, and when the pressure sensing data exceeds the second preset threshold, the electric bicycle can be flying.

[0050] Step 130, based on the pressure sensing data and the visual detection data, electric bicycle flying supervision and / or electric bicycle overload supervision is performed.

[0051] Specifically, after obtaining the pressure sensing data and the visual detection data, the e-bike flying supervision can be performed based on the pressure sensing data and the visual detection data, the e-bike overload supervision can be performed based on the pressure sensing data and the visual detection data, or the e-bike flying supervision and the e-bike overload supervision can be performed based on the pressure sensing data and the visual detection data, and the embodiments of the present application do not make specific limitation on this.

[0052] It can be understood that the combination of the pressure sensing data and the visual detection data further guarantees the accuracy and reliability of the e-bike supervision.

[0053] The method provided by the embodiments of the present application combines the pressure sensing data and the visual detection data, further guarantees the accuracy and reliability of the e-bike supervision, does not require a large number of human resources, improves the efficiency of the e-bike supervision, and improves the convenience of the e-bike supervision. Moreover, the pressure sensing detection on the e-bike is only performed when the motion state of the e-bike changes from static to motion, the visual detection on the riding user on the e-bike is only performed when the pressure sensing data exceeds the first preset threshold or the pressure sensing data is lower than the second preset threshold, the energy consumption of the central control device can be saved, and a large amount of computing resources can be saved.

[0054] Based on any of the above embodiments, step 120 comprises:

[0055] Step 121, when the pressure sensing data exceeds the first preset threshold, the number of the riding users is visually detected.

[0056] Or,

[0057] Step 122, when the pressure sensing data is lower than the second preset threshold, the sitting posture of the riding user is visually detected.

[0058] Specifically, considering that the riding user on the e-bike may have the behavior of overload or flying during riding, however, only judging whether the pressure sensing data exceeds the first preset threshold may not be accurate, and the number of the riding user also needs to be detected.

[0059] Therefore, the number of the riding user can be visually detected when the pressure sensing data exceeds the first preset threshold.

[0060] The first preset threshold here can be 80kg, 85kg, 90kg, etc., and the embodiments of the present application do not make specific limitation on this.

[0061] The number of the riding user here can be 2, 1, etc., and the embodiments of the present application do not make specific limitation on this.

[0062] In the case that the number of the riding users is 2, the e-bike is overloaded, and in the case that the number of the riding users is 1, the e-bike is not overloaded.

[0063] Considering that the judgment may be inaccurate if only the pressure sensing data is compared with the second preset threshold, the sitting posture of the riding user needs to be visually detected.

[0064] The second preset threshold can be 0 kg or 5 kg, and the embodiments of the present application do not make specific limitations.

[0065] In the case that the pressure sensing data is lower than the second preset threshold, the e-bike may have a flying behavior, and in this case, the sitting posture of the riding user is visually detected. In this case, the sitting posture of the riding user can be visually detected by first detecting the region of the riding user, and the hip region of the riding user, the leg region of the riding user, or the hip region, the leg region and the hand region of the riding user can be detected, and the embodiments of the present application do not make specific limitations.

[0066] The method provided by the embodiments of the present application further guarantees the accuracy and reliability of the visual detection of the riding user on the e-bike, in the case that the pressure sensing data is higher than the first preset threshold, the number of the riding users is visually detected, or in the case that the pressure sensing data is lower than the second preset threshold, the sitting posture of the riding user is visually detected.

[0067] Based on any of the above embodiments, step 122 includes:

[0068] Step 1221, in the case that the pressure sensing data is lower than the second preset threshold, the region of the riding user is detected to obtain region detection data;

[0069] Step 1222, based on the region detection data, the sitting posture of the riding user is visually detected.

[0070] Specifically, after obtaining the pressure sensing data of the e-bike, the pressure sensing data can be compared with the second preset threshold, and in the case that the pressure sensing data is lower than the second preset threshold, the region of the riding user is detected to obtain region detection data.

[0071] The region detection data reflects the detection of the body region of the riding user on the e-bike, and the region detection data can include the hip region of the riding user, the leg region of the riding user, or the hip region, the leg region and the hand region of the riding user, and the embodiments of the present application do not make specific limitations.

[0072] After obtaining the region detection data, the sitting posture of the riding user can be visually detected based on the region detection data.

[0073] For example, whether the buttocks of the riding user are seated on the seat cushion, whether the hands of the riding user are holding the handlebar, whether the legs of the riding user are bent, and the like can be detected, and the embodiments of the present application do not make specific limitations thereon.

[0074] The method provided by the embodiments of the present application further improves the accuracy and reliability of visual detection by performing region detection on the riding user to obtain region detection data when the pressure sensing data is lower than the second preset threshold, and then visually detecting the sitting posture of the riding user based on the region detection data.

[0075] Based on any of the above embodiments, step 130 comprises:

[0076] Step 131, in the case that the pressure sensing data and the visual detection data both indicate that there is a flying car or overload, video recording is performed to obtain video recording data;

[0077] Step 132, based on the video recording data, electric bicycle flying car supervision and / or electric bicycle overload supervision is performed.

[0078] Specifically, after obtaining the pressure sensing data and the visual detection data, video recording can be performed to obtain video recording data in the case that the pressure sensing data and the visual detection data both indicate that there is a flying car or overload. Here, the video recording can be implemented by the visual sensor, and the video recording data reflects the flying car or overload situation of the riding user on the electric bicycle.

[0079] After obtaining the video recording data, electric bicycle flying car supervision and / or electric bicycle overload supervision can be performed.

[0080] Based on any of the above embodiments, step 132 comprises:

[0081] The video recording data is uploaded to a supervision platform for electric bicycle flying car supervision and / or electric bicycle overload supervision.

[0082] Specifically, after obtaining the video recording data, the video recording data can be uploaded to a supervision platform for electric bicycle flying car supervision and / or electric bicycle overload supervision.

[0083] The supervision platform here can be a shared enterprise supervision platform, a government supervision platform, or the like, and the embodiments of the present application do not make specific limitations thereon.

[0084] Here, the video recording data can be uploaded to the supervision platform in real time, or can be uploaded to the supervision platform every certain period of time, etc. After the riding user on the electric bicycle is punished, the video recording data about the riding user can also be deleted in the supervision platform to avoid occupying a large amount of memory resources. The embodiments of the present application do not make specific limitation on this.

[0085] The method provided by the embodiments of the present application uploads the video recording data to the supervision platform to perform the electric bicycle flying and / or overload supervision, thereby improving the effectiveness of the electric bicycle supervision.

[0086] Based on any of the above embodiments, the embodiments of the present application further provide an electric bicycle. Here, a pressure sensor is arranged in the seat cushion of the electric bicycle, and a visual sensor is arranged on the handlebar of the electric bicycle. The pressure sensor is used for pressure sensing detection of the electric bicycle, and the visual sensor is used for visual detection of the riding user on the electric bicycle.

[0087] Based on any of the above embodiments, the embodiments of the present application provide an electric bicycle. Here, the electric bicycle is further provided with a communication device. The communication device is used for uploading the video recording data to the supervision platform to perform the electric bicycle supervision.

[0088] Based on any of the above embodiments, the present application provides an electric bicycle supervision method, Figure 2 is a second flowchart of the electric bicycle supervision method provided by the present application, as shown in Figure 2 , the method comprises:

[0089] Firstly, in the case that the motion state of the electric bicycle changes from static to motion, the pressure sensing detection is performed on the electric bicycle to obtain the pressure sensing data of the electric bicycle.

[0090] Secondly, in the case that the pressure sensing data exceeds a first preset threshold, the number of the riding users is visually detected.

[0091] Or,

[0092] In the case that the pressure sensing data is lower than a second preset threshold, the riding users are regionally detected to obtain region detection data. Based on the region detection data, the sitting posture of the riding users is visually detected to obtain visual detection data of the riding users.

[0093] Thirdly, in the case that the pressure sensing data and the visual detection data both indicate the existence of flying or overload, the video recording is performed to obtain video recording data.

[0094] Fourthly, the video recording data is uploaded to the supervision platform to perform the electric bicycle flying and / or overload supervision.

[0095] The electric bicycle supervision device provided by the present application is described below. The electric bicycle supervision device described below can be correspondingly referred to the electric bicycle supervision method described above.

[0096] Based on any of the above embodiments, the present application provides an electric bicycle supervision device, Figure 3 is a structural schematic diagram of the electric bicycle supervision device provided by the present application, as Figure 3 indicated, the device comprises:

[0097] The pressure sensing data acquisition unit 310 is configured to perform pressure sensing detection on the electric bicycle when the motion state of the electric bicycle changes from static to motion, and acquire pressure sensing data of the electric bicycle.

[0098] The visual detection data acquisition unit 320 is configured to perform visual detection on the user riding on the electric bicycle to acquire visual detection data of the user when the pressure sensing data exceeds a first preset threshold or the pressure sensing data is lower than a second preset threshold.

[0099] The supervision unit 330 is configured to perform electric bicycle speeding supervision and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data.

[0100] The device provided by the present application combines pressure sensing data and visual detection data, further ensures the accuracy and reliability of electric bicycle supervision, does not require a large number of human resources, improves the efficiency of electric bicycle supervision, and improves the convenience of electric bicycle supervision. In addition, the pressure sensing detection on the electric bicycle is performed only when the motion state of the electric bicycle changes from static to motion, and the visual detection on the user riding on the electric bicycle is performed only when the pressure sensing data exceeds a first preset threshold or the pressure sensing data is lower than a second preset threshold, which can save the energy consumption of the central control device and thus save a large amount of computing resources.

[0101] Based on any of the above embodiments, the visual detection data acquisition unit 320 is specifically configured to:

[0102] The first visual detection unit is configured to perform visual detection on the number of users when the pressure sensing data exceeds a first preset threshold.

[0103] Or,

[0104] The second visual detection unit is configured to perform visual detection on the sitting posture of the user when the pressure sensing data is lower than a second preset threshold.

[0105] Based on any of the above embodiments, the second visual detection unit is specifically configured to:

[0106] If the pressure sensing data is lower than the second preset threshold, the area of ​​the passenger is detected to obtain area detection data.

[0107] Based on the area detection data, the sitting posture of the passenger is visually detected.

[0108] Based on any of the above embodiments, the monitoring unit 330 is specifically used for:

[0109] When both the pressure sensing data and the visual detection data indicate that there is a runaway vehicle or overload, video recording is performed to obtain video recording data;

[0110] The monitoring subunit is used to monitor electric bicycle speeding and / or electric bicycle overloading based on the video recording data.

[0111] Based on any of the above embodiments, the regulatory subunit is specifically used for:

[0112] The video recording data will be uploaded to the monitoring platform for monitoring electric bicycle speeding and / or electric bicycle overloading.

[0113] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other through the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute a motorcycle monitoring method, which includes: when the motorcycle's motion state changes from stationary to moving, performing pressure sensing detection on the motorcycle to obtain pressure sensing data; when the pressure sensing data exceeds a first preset threshold, or when the pressure sensing data exceeds but is lower than a second preset threshold, performing visual detection on the rider on the motorcycle to obtain visual detection data of the rider; and based on the pressure sensing data and the visual detection data, performing motorcycle speeding monitoring and / or motorcycle overloading monitoring.

[0114] In addition, the logic instructions in the memory 430 described above can be implemented in the form of a software function unit and sold or used as an independent product, which can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk or an optical disk, and various media that can store program codes.

[0115] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program is executed by a processor, so that the computer can execute the electric bicycle supervision method provided by the above-mentioned methods. The method comprises: in the case that the motion state of the electric bicycle changes from static to motion, performing pressure sensing detection on the electric bicycle to obtain pressure sensing data of the electric bicycle; in the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, performing visual detection on a user riding on the electric bicycle to obtain visual detection data of the user; and performing electric bicycle flying supervision and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data.

[0116] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the electric bicycle supervision method provided by the above-mentioned methods. The method comprises: in the case that the motion state of the electric bicycle changes from static to motion, performing pressure sensing detection on the electric bicycle to obtain pressure sensing data of the electric bicycle; in the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, performing visual detection on a user riding on the electric bicycle to obtain visual detection data of the user; and performing electric bicycle flying supervision and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data.

[0117] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0118] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0119] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An electric bicycle supervision method, characterized by, The method comprises the following steps: In the case that the motion state of the electric bicycle changes from static to motion, the pressure sensing detection is performed on the electric bicycle to obtain pressure sensing data of the electric bicycle, wherein the pressure sensing data is used to reflect the pressure sensing condition in the seat cushion of the electric bicycle; In the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, visual detection is performed on the user riding on the electric bicycle to obtain visual detection data of the user; Based on the pressure sensing data and the visual detection data, electric bicycle flying and / or electric bicycle overload supervision is performed; The visual detection on the user riding on the electric bicycle in the case that the pressure sensing data exceeds the first preset threshold or the pressure sensing data exceeds the second preset threshold comprises: In the case that the pressure sensing data exceeds the first preset threshold, the number of the user is visually detected; Or, In the case that the pressure sensing data is lower than the second preset threshold, the sitting posture of the user is visually detected.

2. The electric bicycle supervision method according to claim 1, wherein, The visual detection on the sitting posture of the user in the case that the pressure sensing data is lower than the second preset threshold comprises: In the case that the pressure sensing data is lower than the second preset threshold, the user is regionally detected to obtain region detection data; Based on the region detection data, the sitting posture of the user is visually detected.

3. The electric bicycle supervision method of claim 1, wherein, The electric bicycle flying and / or electric bicycle overload supervision based on the pressure sensing data and the visual detection data comprises: In the case that the pressure sensing data and the visual detection data both indicate that there is flying or overload, video recording is performed to obtain video recording data; Based on the video recording data, electric bicycle flying and / or electric bicycle overload supervision is performed.

4. The electric bicycle supervision method according to claim 3, wherein, The electric bicycle flying and / or electric bicycle overload supervision based on the video recording data comprises: The video recording data is uploaded to a supervision platform for electric bicycle flying and / or electric bicycle overload supervision.

5. An electric bicycle supervision device, characterized by, The method comprises the following steps: A pressure sensing data acquisition unit is configured to, in the case that the motion state of the electric bicycle changes from static to motion, perform pressure sensing detection on the electric bicycle to obtain pressure sensing data of the electric bicycle, wherein the pressure sensing data is used to reflect the pressure sensing condition in the seat cushion of the electric bicycle; A visual detection data acquisition unit is configured to, in the case that the pressure sensing data exceeds a first preset threshold or the pressure sensing data exceeds a second preset threshold, perform visual detection on the user riding on the electric bicycle to obtain visual detection data of the user; A supervision unit is configured to, based on the pressure sensing data and the visual detection data, perform electric bicycle flying and / or electric bicycle overload supervision; The visual detection data acquisition unit is specifically configured to: In the case that the pressure sensing data exceeds the first preset threshold, the number of the user is visually detected; Or, In the case that the pressure sensing data is lower than the second preset threshold, the sitting posture of the user is visually detected.

6. An electric bicycle, characterized by The electric bicycle supervision method as claimed in claim 3, wherein a pressure sensor is arranged in a seat cushion of the electric bicycle, and a visual sensor is arranged on a handlebar of the electric bicycle, the pressure sensor is configured to perform pressure sensing detection on the electric bicycle, and the visual sensor is configured to perform visual detection on a user riding on the electric bicycle.

7. The electric bicycle according to claim 6, characterized in that, The electric bicycle is further provided with a communication device configured to upload the video recording data to a supervision platform for electric bicycle supervision.

8. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the electric bicycle supervision method as claimed in any one of claims 1 to 4 when executing the program. 9.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program implements the electric bicycle supervision method as claimed in any one of claims 1 to 4 when executed by the processor.

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