Electric bicycle control system based on user behavior recognition

Abstract

The invention relates to the technical field of electric bicycle control, in particular to an electric bicycle control system based on user behavior recognition, and the system comprises an interaction module which is used for obtaining the historical riding information of a registered user at an electric bicycle management background; the analysis module is used for receiving the historical riding information of the registered user acquired by the interaction module, and analyzing the credibility of the user based on the historical riding information of the registered user; the sensing module is used for sensing whether other electric bicycles exist around in real time; according to the method, the credibility of the user is analyzed according to the historical riding information of the registered user of the electric bicycle platform, the sensing result of autonomously sensing the surrounding electric bicycles is synchronously combined, the instruction of returning the electric bicycles is controlled in the network health state, and the effective environment and success rate of execution of the electric bicycle returning instruction are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electric bicycle control, and particularly to an electric bicycle control system based on user behavior recognition. Background Art

[0002] Shared electric bicycles are a new type of transportation tool, which are usually placed in various corners of the city, and users can scan the code to unlock and use them through a mobile application. They have the characteristics of convenience, environmental protection, economy, etc., can effectively solve the pain points of people's short-distance travel, and provide a flexible supplementary way for urban transportation.

[0003] The invention patent application with the application number 202310275248.8 discloses a management method for shared electric vehicles based on a smart city, which specifically includes: determining the basic parking area of the shared electric vehicle based on the initial position and driving distance of the shared electric vehicle, and judging whether the basic parking area is located in the designated parking area. If so, allowing the vehicle to be returned; if not, entering the next step; obtaining the usage distance of the shared electric vehicle based on the positioning device of the shared electric vehicle, and determining whether the positioning device is reliable at least based on the difference between the usage distance and the driving distance, the maximum value and the average value of the change amount per unit time of the positioning device during the driving process. If so, entering the next step; if not, the positioning device is abnormal and the vehicle cannot be returned. This application solves the problem that when determining the parking area of a shared electric vehicle, the combination of driving mileage and initial position is ignored, and the positioning may be inaccurate due to the failure of the GPS positioning module. In actual operation, the credibility of multiple positioning information such as mobile devices, driving mileage, initial position, and GPS is not evaluated first, and the position cannot be accurately evaluated.

[0004] However, in terms of the current offline research situation, there is still a situation where the vehicle cannot be returned due to inaccurate positioning, which to a certain extent reduces the user experience.

[0005] Therefore, an electric bicycle control system based on user behavior recognition is proposed. Summary of the Invention

[0006] In view of the above-mentioned drawbacks of the prior art, the present invention provides an electric bicycle control system based on user behavior recognition, which solves the technical problems proposed in the above background art.

[0007] To achieve the above object, the present invention is realized through the following technical solutions:

[0008] An electric bicycle control system based on user behavior recognition, comprising:

[0009] An interaction module, used to obtain the historical riding information of registered users in the electric bicycle management background; an analysis module, used to receive the historical riding information of registered users obtained by the operation of the interaction module, and analyze the user trustworthiness based on the historical riding information of registered users; a perception module, used to sense in real time whether there are other electric bicycles around; a monitoring module, used to monitor the instruction for the user to return the electric bicycle, and when the instruction for the user to return the electric bicycle is monitored, synchronously identify the real-time throughput of the mobile device network that executes the instruction, and decide whether to execute the instruction for the user to return the electric bicycle based on the real-time network throughput; a verification module, used to verify the feasibility of the instruction for the user to return the electric bicycle; a refresh module, used to prompt the user to adjust the position of the electric bicycle and refresh the operation of the verification module.

[0010] Furthermore, the historical riding information of registered users obtained during the operation of the interaction module includes: riding start point, riding end point, riding duration, riding start time, riding end time, electric bicycle ID;

[0011] An iteration unit is set under the interaction module, and the iteration unit is used to iterate the historical riding information of users obtained by the operation of the interaction module;

[0012] Among them, each time the interaction module runs, it obtains the historical riding information of registered users within a specified time span. An iteration period is set in the iteration unit, and the iteration unit obtains the latest historical riding information of registered users from the electric bicycle management background based on the iteration period to iterate the historical riding information of registered users obtained by the previous run of the interaction module. After the interaction module obtains the historical riding information of registered users, it synchronously stores the riding information, and each piece of historical riding information of registered users is marked with a user ID.

[0013] Furthermore, during the operation of the analysis module, all the received historical riding information of registered users is sorted based on the source time. After sorting, the sorted historical riding information of registered users is evenly divided into two sets, and the number of historical riding information of registered users in the two sets is equal. The user trustworthiness analysis factors are evaluated based on the two sets of historical riding information of registered users:

[0014] Obtain all the riding start points and riding end points in the set of historical riding information of registered users, place all the riding start points and riding end points on the electronic map for representation, connect the riding start points and riding end points represented on the electronic map to define the maximum riding area, and both sets of historical riding information of registered users perform the above operations to obtain two riding areas.

[0015] Furthermore, the user trustworthiness analysis logic in the analysis module (2) is expressed as:

[0016]

[0017] Where: F is the user trustworthiness; Q is the user trustworthiness analysis factor; n is the total amount of the user's historical riding information; t i is the riding duration in the i-th piece of the user's historical riding information; d(p(start) i , p(start) i+1 ) is the coordinate offset distance between the riding start point in the i-th piece of the user's historical riding information and the riding start point in the (i + 1)-th piece of the user's historical riding information; d(p(over) i , p(over) i+1 ) is the coordinate offset distance between the riding end point in the i-th piece of the user's historical riding information and the riding end point in the (i + 1)-th piece of the user's historical riding information; T is the cumulative duration of the time threshold union composed of the riding start time and the riding end time in each piece of the user's historical riding information in n; λ is a constant, taking the user's registration period;

[0018] Among them, s(d1∩d2) is the intersection area of two riding areas in the electronic map; s(d1) and s(d2) are the areas of the two riding areas; max[s(d1), s(d2)] is an operation to take the maximum value within the brackets.

[0019] Furthermore, the perception module is integrated by the signal transceiver unit, the signal transceiver unit is deployed in each electric bicycle, the signal transceiver unit runs in real time, sends digital signals within a preset area range for the signal transceiver units deployed in other electric bicycles to receive, and after receiving the digital signals, the signal transceiver unit synchronously feeds back the digital signals for the signal transceiver unit that sends the digital signals to receive;

[0020] Among them, the electric bicycle in the riding or unlocking state executes the digital signal sending instruction in real time, and the electric bicycle in the locked state only executes the instruction to feed back the digital signal after receiving the digital signal. The preset area range applied when sending the digital signal is user-defined by the system end user, and the preset area range is initially set as a circular area limited by the long side of the electric bicycle return point as the diameter.

[0021] Furthermore, during the operation stage of the signal transceiver unit, the real-time positioning information of the electric bicycle is synchronously obtained, and the real-time positioning information is converted into a digital signal, which is used as the content of the digital signal sent by the signal transceiver unit during operation. After receiving the digital signal converted from the positioning information, the signal transceiver unit synchronously feeds back to the electric bicycle management background and stores it in the electric bicycle management background;

[0022] Among them, when the digital signal is stored in the electric bicycle management background, it is synchronously restored to the electric bicycle positioning information, and each electric bicycle positioning information is marked with the acquisition timestamp and the source electric bicycle ID.

[0023] Furthermore, during the operation stage of the monitoring module, a determination threshold is set synchronously. After the real-time throughput of the mobile device network executing the instruction is identified, it is compared with the determination threshold. When the identification result is not less than the determination threshold, the instruction for the user to return the electric bicycle is executed, and the operation stage is synchronously jumped to the verification module.

[0024] Furthermore, the logic for verifying the feasibility of the instruction for the user to return the electric bicycle in the verification module is as follows:

[0025]

[0026] In the formula: k is a verification parameter; F is the user's trustworthiness; g is the number of electric bicycles around the electric bicycle executing the return instruction; d near is the distance between the electric bicycle and the nearest return point currently; ω1, ω2 are weights; k0 is a verification reference value; d0 is the allowed distance from the electric bicycle to the nearest return point when returning the vehicle;

[0027] Among them, both ω1 and ω2 are positive numbers, and their sum is 1, and ω1 > ω2. When any one of formula (1) and formula (2) holds, the verification result of the verification module is yes; otherwise, the verification result of the verification module is no.

[0028] Furthermore, the refresh module is deployed inside each electric bicycle. The integrated components of the refresh module include a speaker, and the audio for prompting the user to adjust the position of the electric bicycle is stored in the speaker. When the verification result of the verification module is no, the playback of the prompt audio is triggered. After the refresh module refreshes the operation of the verification module, when the instruction for the user to return the electric bicycle is generated next time, the verification module verifies the feasibility of the instruction for the user to return the electric bicycle again.

[0029] Furthermore, the lower level of the interaction module is connected to an iteration unit through wireless network interaction. The interaction module is connected to an analysis module and a perception module through wireless network interaction. The signal transceiver unit is connected to the inside of the perception module through wireless network interaction. The perception module is connected to the monitoring module and the verification module through wireless network interaction. The verification module is connected to the refresh module through wireless network interaction.

[0030] Adopting the technical solution provided by the present invention, compared with the known public technologies, the following beneficial effects are achieved:

[0031] The present invention provides an electric bicycle control system based on user behavior recognition. During operation, the system analyzes the trustworthiness of users through the historical riding information of registered users on the electric bicycle platform, and synchronously combines the perception results of independently perceiving surrounding electric bicycles. Under the condition of network health, it controls the instruction to return the electric bicycle, ensuring the effective environment and success rate of the execution of the electric bicycle return instruction. At the same time, during the electric bicycle return stage, it comprehensively calculates by combining the user trustworthiness, the number of other surrounding electric bicycles, and the distance between the electric bicycle and the return point, providing more parameters to verify the feasibility of the execution of the electric bicycle return instruction, thereby enhancing the user experience and promoting the orderly sharing use of electric bicycles. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0033] Figure 1 It is a schematic structural diagram of an electric bicycle control system based on user behavior recognition;

[0034] The reference numerals in the figure denote: 1, interaction module; 11, iteration unit; 2, analysis module; 3, perception module; 31, signal transceiver unit; 4, monitoring module; 5, verification module; 6, refresh module. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.

[0036] The present invention will be further described below with reference to the embodiments.

[0037] Embodiment:

[0038] An electric bicycle control system based on user behavior recognition in this embodiment, as Figure 1 shown, includes:

[0039] The interaction module 1 is used to obtain the historical riding information of registered users in the electric bicycle management background;

[0040] The historical riding information of registered users obtained during the operation of the interaction module 1 includes: starting point of riding, ending point of riding, riding duration, starting time of riding, ending time of riding, and ID of the electric bicycle;

[0041] The interaction module 1 is provided with an iteration unit 11 at a lower level, and the iteration unit 11 is used to iterate the historical riding information of users obtained during the operation of the interaction module 1;

[0042] Among them, each time the interaction module 1 operates, it obtains the historical riding information of registered users within a specified time span. An iteration period is set in the iteration unit 11. The iteration unit 11 obtains the latest historical riding information of registered users from the electric bicycle management background based on the iteration period to iterate the historical riding information of registered users obtained during the previous operation of the interaction module 1. After the interaction module 1 obtains the historical riding information of registered users, it synchronously stores the riding information, and each piece of historical riding information of registered users is marked with a user ID;

[0043] The analysis module 2 is used to receive the historical riding information of registered users obtained during the operation of the interaction module 1 and analyze the user trustworthiness based on the historical riding information of registered users;

[0044] During the operation of the analysis module 2, all the received historical riding information of registered users is sorted based on the source time. After sorting, the sorted historical riding information of registered users is evenly divided into two sets, and the number of historical riding information of registered users in the two sets is equal. The user trustworthiness analysis factor is evaluated based on the two sets of historical riding information of registered users:

[0045] All starting points and ending points of riding are obtained from the set of historical riding information of registered users, and all starting points and ending points of riding are represented on the electronic map. The starting points and ending points represented on the electronic map are connected to each other to define the maximum riding area. The above operations are performed on both sets of historical riding information of registered users to obtain two riding areas;

[0046] The user trustworthiness analysis logic in the analysis module 2 is expressed as:

[0047]

[0048] In the formula: F is the user trustworthiness; Q is the user trustworthiness analysis factor; n is the total amount of the user's historical riding information; t i is the riding duration in the i-th piece of the user's historical riding information; d(p(start) i , p(start) i+1 ) is the coordinate offset distance between the starting point of riding in the i-th piece of the user's historical riding information and the starting point of riding in the (i + 1)-th piece of the user's historical riding information; d(p(over) i , p(over)i+1 ) is the coordinate offset distance between the riding end point in the i-th user's historical riding information and the riding end point in the (i + 1)-th user's historical riding information; T is the cumulative duration of the time threshold union composed of the riding start time and the riding end time in each of the n user's historical riding information; λ is a constant, taking the user's registration period;

[0049] Among them, s(d1∩d2) is the area of the intersection area of the two riding areas in the electronic map; s(d1) and s(d2) are the areas of the two riding areas; max[s(d1), s(d2)] is the operation of taking the maximum value within the brackets;

[0050] Through the above logical formula calculation, the user trustworthiness is represented in a digital form, providing data support for the further operation of the system in this embodiment.

[0051] The perception module 3 is used to perceive in real time whether there are other electric bicycles around;

[0052] The perception module 3 is integrated by the signal transceiver unit 31. The signal transceiver unit 31 is deployed in each electric bicycle. The signal transceiver unit 31 runs in real time, sends digital signals within a preset area range for the signal transceiver unit 31 deployed in other electric bicycles to receive. After the signal transceiver unit 31 receives the digital signal, it synchronously feeds back the digital signal for the signal transceiver unit 31 that sent the digital signal to receive;

[0053] Among them, the electric bicycle in the riding or unlocking state executes the digital signal sending instruction in real time. The electric bicycle in the locked state only executes the instruction of feeding back the digital signal after receiving the digital signal. The preset area range applied when sending the digital signal is user-defined by the system end user. The preset area range is initially set as a circular area limited by the long side of the electric bicycle return point as the diameter;

[0054] During the operation stage of the signal transceiver unit 31, the real-time positioning information of the electric bicycle is synchronously obtained, and the real-time positioning information is converted into a digital signal, which is used as the content of the digital signal sent by the signal transceiver unit 31 during operation. After the signal transceiver unit 31 receives the digital signal converted from the positioning information, it synchronously feeds back to the electric bicycle management background and stores it in the electric bicycle management background;

[0055] Among them, when the digital signal is stored in the electric bicycle management background, it is synchronously restored to the electric bicycle positioning information, and each electric bicycle positioning information is marked with the acquisition timestamp and the source electric bicycle ID;

[0056] The monitoring module 4 is used to monitor the instruction for the user to return the electric bicycle. When the instruction for the user to return the electric bicycle is monitored, it synchronously identifies the real-time throughput of the mobile device network that executes the instruction, and decides whether to execute the instruction for the user to return the electric bicycle based on the real-time network throughput;

[0057] During the operation stage of the monitoring module 4, a judgment threshold is synchronously set. After the real-time throughput of the mobile device network that executes the instruction is identified, it is compared with the judgment threshold. When the identification result is not less than the judgment threshold, the instruction for the user to return the electric bicycle is executed, and the operation jumps to the verification module stage synchronously;

[0058] The verification module 5 is used to verify the feasibility of the instruction for the user to return the electric bicycle;

[0059] The logic for verifying the feasibility of the instruction for the user to return the electric bicycle in the verification module 5 is as follows:

[0060]

[0061] In the formula: k is the verification parameter; F is the user's trustworthiness; g is the number of electric bicycles around the electric bicycle that executes the return instruction; d near is the distance between the electric bicycle and the nearest return point at present; ω1 and ω2 are weights; k0 is the verification reference value; d0 is the allowable distance from the electric bicycle to the nearest return point when returning the vehicle;

[0062] Among them, both ω1 and ω2 are positive numbers, and their sum is 1, and ω1 > ω2. When any one of formula (1) and formula (2) holds, the verification result of the verification module 5 is yes; otherwise, the verification result of the verification module 5 is no;

[0063] Through the above logical formula, more intelligent locking control is provided for the electric bicycle to improve the convenience of the user locking the electric bicycle and enhance the user experience.

[0064] The refreshing module 6 is used to prompt the user to adjust the position of the electric bicycle and refresh the operation of the verification module 5;

[0065] The refreshing module 6 is deployed inside each electric bicycle. The integrated components of the refreshing module 6 include a speaker. The audio for prompting the user to adjust the position of the electric bicycle is stored in the speaker. When the verification result of the verification module 5 is no, the prompt audio is triggered for playback. After the refreshing module 6 refreshes the operation of the verification module 5, when the next instruction for the user to return the electric bicycle is generated, the verification module 5 verifies the feasibility of the instruction for the user to return the electric bicycle again;

[0066] The lower level of the interaction module 1 is connected with an iterative unit 11 through wireless network interaction. The interaction module 1 is connected with an analysis module 2 and a sensing module 3 through wireless network interaction. Inside the sensing module 3, a signal transceiver unit 31 is connected through wireless network interaction. The sensing module 3 is connected with a monitoring module 4 and a verification module 5 through wireless network interaction. The verification module 5 is connected with a refresh module 6 through wireless network interaction.

[0067] In this embodiment, the interaction module 1 runs on the electric bicycle management background to obtain the historical riding information of registered users. The iterative unit 11 synchronously iterates the historical riding information of users obtained by the operation of the interaction module 1. The analysis module 2 runs later to receive the historical riding information of registered users obtained by the operation of the interaction module 1, and analyzes the user's trustworthiness based on the historical riding information of registered users. The sensing module 3 further senses in real time whether there are other electric bicycles around. The signal transceiver unit 31 synchronously sends digital signals within a preset area range for the signal transceiver units 31 deployed in other electric bicycles to receive. After receiving the digital signal, the signal transceiver unit 31 synchronously feeds back the digital signal for the signal transceiver unit 31 that sent the digital signal to receive. Then, the monitoring module 4 monitors the instruction for the user to return the electric bicycle. When monitoring the instruction for the user to return the electric bicycle, it synchronously identifies the real-time throughput of the mobile device network that executes the instruction, and decides whether to execute the instruction for the user to return the electric bicycle based on the real-time network throughput. The verification module 5 runs to verify the feasibility of the instruction for the user to return the electric bicycle. Finally, the refresh module 6 prompts the user to adjust the position of the electric bicycle and refreshes the operation of the verification module 5.

[0068] Through the operation of the system in the above embodiment, it effectively provides optimized management for the lock control of shared electric bicycles, ensures that the lock execution of electric bicycles can be carried out more humanely and intelligently, and effectively improves the user experience.

[0069] In summary, during the operation of the system in the above embodiment, it analyzes the user's trustworthiness through the historical riding information of registered users on the electric bicycle platform, synchronously combines the sensing results of independently sensing the surrounding electric bicycles, controls the instruction to return the electric bicycle under the condition of network health, guarantees the effective environment and success rate of the execution of the instruction to return the electric bicycle. At the same time, during the stage of returning the electric bicycle, it comprehensively calculates by combining the user's trustworthiness, the number of other surrounding electric bicycles, the distance between the electric bicycle and the return point, provides more parameters to verify the feasibility of the execution of the instruction to return the electric bicycle, and based on this, enhances the user experience and promotes the orderly sharing use of electric bicycles.

[0070] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An electric bicycle control system based on user behavior recognition, characterized in that, Including: An interaction module (1) for obtaining the historical riding information of registered users in the electric bicycle management background; An analysis module (2) for receiving the historical riding information of registered users obtained by the operation of the interaction module (1) and analyzing the user trustworthiness based on the historical riding information of registered users; A perception module (3) for real-time perceiving whether there are other electric bicycles around; A monitoring module (4) for monitoring the instruction for the user to return the electric bicycle. When the instruction for the user to return the electric bicycle is monitored, the real-time throughput of the mobile device network executing the instruction is synchronously identified, and whether to execute the instruction for the user to return the electric bicycle is decided based on the real-time network throughput; A verification module (5) for verifying the feasibility of the instruction for the user to return the electric bicycle; A refresh module (6) for prompting the user to adjust the position of the electric bicycle and refreshing the operation of the verification module (5).

2. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that, The historical riding information of registered users obtained during the operation of the interaction module (1) includes: riding start point, riding end point, riding duration, riding start time, riding end time, electric bicycle ID; An iteration unit (11) is provided at the lower level of the interaction module (1), and the iteration unit (11) is used for iterating the historical riding information of users obtained by the operation of the interaction module (1); Among them, each time the interaction module (1) runs, the historical riding information of registered users within a specified time span is obtained. An iteration period is set in the iteration unit (11), and the iteration unit (11) obtains the latest historical riding information of registered users from the electric bicycle management background based on the iteration period to iterate the historical riding information of registered users obtained by the previous run of the interaction module (1). After the interaction module (1) obtains the historical riding information of registered users, the riding information is synchronously stored, and each piece of historical riding information of registered users is marked with a user ID.

3. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that, During the operation of the analysis module (2), all the received historical riding information of registered users is sorted based on the source time. After sorting, the sorted historical riding information of registered users is evenly divided into two sets, and the number of historical riding information of registered users in the two sets is equal. The user trustworthiness analysis factors are evaluated based on the two sets of historical riding information of registered users: All riding start points and riding end points are obtained in the set of historical riding information of registered users, and all riding start points and riding end points are represented on an electronic map. The riding start points and riding end points represented on the electronic map are connected to each other to define the maximum riding area. The above operations are performed on both sets of historical riding information of registered users to obtain two riding areas.

4. The electric bicycle control system based on user behavior recognition according to claim 3, wherein, The user trustworthiness analysis logic in the analysis module (2) is expressed as: Where: F is the user trustworthiness; Q is the user trustworthiness analysis factor; n is the total amount of the user's historical riding information; t i is the riding duration in the i-th piece of the user's historical riding information; d(p(start) i , p(start) i+1 ) is the coordinate offset distance between the starting point of the i-th user's historical riding information and the starting point of the (i + 1)-th user's historical riding information; d(p(over) i , p(over) i+1 ) is the coordinate offset distance between the ending point of the i-th user's historical riding information and the ending point of the (i + 1)-th user's historical riding information; T is the cumulative duration of the time threshold union composed of the starting time and ending time of each user's historical riding information in n; λ is a constant, taking the user registration period; Among them, s(d1∩d2) is the area of the intersection region of the two cycling areas in the electronic map; s(d1) and s(d2) are the areas of the two cycling areas; max[s(d1), s(d2)] is an operation to take the maximum value within the brackets.

5. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that The perception module (3) is integrated by a signal transceiver unit (31). The signal transceiver unit (31) is deployed in each electric bicycle. The signal transceiver unit (31) runs in real time and sends digital signals within a preset area range for the signal transceiver units (31) deployed in other electric bicycles to receive. After the signal transceiver unit (31) receives the digital signal, it synchronously feeds back the digital signal for the signal transceiver unit (31) that sent the digital signal to receive; Among them, the electric bicycle in the riding or unlocking state executes the digital signal sending instruction in real time. The electric bicycle in the locked state only executes the instruction to feedback the digital signal after receiving the digital signal. The preset area range applied when sending the digital signal is user-defined by the system end user. The initial setting of the preset area range is a circular area defined by the long side of the electric bicycle return point as the diameter.

6. The electric bicycle control system based on user behavior recognition according to claim 3, characterized in that, During the operation stage of the signal transceiver unit (31), the real-time positioning information of the electric bicycle is synchronously obtained, and the real-time positioning information is converted into a digital signal, which is used as the content of the digital signal sent by the signal transceiver unit (31) during operation. After receiving the digital signal obtained by converting the positioning information, the signal transceiver unit (31) synchronously feeds back to the electric bicycle management background and stores it in the electric bicycle management background. Among them, when the digital signal is stored in the electric bicycle management background, it is synchronously restored to the electric bicycle positioning information, and each electric bicycle positioning information is marked with the acquisition timestamp and the source electric bicycle ID.

7. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that During the operation stage of the monitoring module (4), a judgment threshold is synchronously set. After the real-time throughput of the mobile device network executing the instruction is identified, it is compared with the judgment threshold. When the identification result is not less than the judgment threshold, the instruction for the user to return the electric bicycle is executed, and the operation stage is synchronously jumped to the verification module.

8. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that, The logic for verifying the feasibility of the instruction for the user to return the electric bicycle in the verification module (5) is as follows: Where: k is the verification parameter; F is the user trustworthiness; g is the number of electric bicycles around the electric bicycle that executes the return instruction; d near is the distance between the electric bicycle and the nearest return point; ω1 and ω2 are weights; k0 is the verification reference value; d0 is the allowable distance from the electric bicycle to the nearest return point when returning the vehicle; Among them, both ω1 and ω2 are positive numbers, and their sum is 1, and ω1 > ω2. When any one of formula (1) and formula (2) holds, the verification result of the verification module (5) is yes. Otherwise, the verification result of the verification module (5) is no.

9. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that, The refresh module (6) is deployed inside each electric bicycle. The integrated components of the refresh module (6) include a speaker. The speaker stores the audio for prompting the user to adjust the position of the electric bicycle. When the verification result of the verification module (5) is no, the playback of the prompt audio is triggered. After the refresh module (6) refreshes the operation of the verification module (5), when the instruction for the user to return the electric bicycle is generated next time, the verification module (5) verifies the feasibility of the instruction for the user to return the electric bicycle again.

10. The electric bicycle control system based on user behavior recognition according to claim 1, characterized in that, The lower level of the interaction module (1) is connected to an iteration unit (11) through wireless network interaction. The interaction module (1) is connected to an analysis module (2) and a perception module (3) through wireless network interaction. Inside the perception module (3), a signal transceiver unit (31) is connected through wireless network interaction. The perception module (3) is connected to a monitoring module (4) and a verification module (5) through wireless network interaction. The verification module (5) is connected to a refresh module (6) through wireless network interaction.

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