Electric bicycle tamper-proofing monitoring method and device based on Internet of Things, equipment and medium

Abstract

The embodiment of the invention provides an electric bicycle tamper-proof monitoring method and device based on the Internet of Things, equipment and a medium, and belongs to the technical field of electric bicycle safety monitoring. According to the scheme, sensor data on the electric bicycle are obtained; analyzing and processing the sensor data to obtain electric bicycle data; performing fault detection on the electric bicycle data to obtain fault information; and according to the fault information and the electric bicycle data, tamper-proof monitoring of the electric bicycle is completed. According to the invention, a comprehensive and convenient electric bicycle monitoring and management platform can be provided for users and managers.

Description

Technical Field

[0001] The present application relates to the technical field of electric bicycle safety monitoring, and in particular to an Internet of Things-based electric bicycle tamper-proof monitoring method and device, equipment and medium. Background Art

[0002] As the electric bicycle market continues to expand, its convenience and environmental friendliness have been favored by the majority of users. However, it is also accompanied by some negative effects. The following is a further analysis of the current electric bicycle market and its related issues:

[0003] 1. Market growth and safety risks: In recent years, electric bicycles have rapidly become an important means of transportation for residents to travel short and medium distances due to their many advantages such as cleanliness, convenience and environmental protection. However, this has led to illegal tampering of vehicle performance by users, mainly to increase the speed and power of the vehicle, so as to meet the pursuit of higher performance by some users or to circumvent the restrictions of relevant regulations.

[0004] 2. Impact of illegal tampering: Illegal tampering may not only cause the electric bicycle to exceed the designed safety range, but may also cause traffic accidents, posing a potential threat to riders and other road users. In addition, tampering also violates relevant traffic regulations.

[0005] 3. Insufficient existing monitoring methods: Although some electric bicycles on the market are equipped with basic monitoring systems, these systems can only provide limited information and lack real-time monitoring and early warning functions. Therefore, once an electric bicycle is tampered with, it is often difficult to detect and deal with it in time. Summary of the invention

[0006] The main purpose of the embodiments of the present application is to provide an anti-tampering monitoring method and device, equipment and medium for electric bicycles based on the Internet of Things.

[0007] On the one hand, an embodiment of the present invention provides an anti-tampering monitoring method for an electric bicycle based on the Internet of Things, the method comprising the following steps:

[0008] Get sensor data on the electric bicycle;

[0009] Analyzing and processing the sensor data to obtain electric bicycle data;

[0010] Performing fault detection on the electric bicycle data to obtain fault information;

[0011] According to the fault information and the electric bicycle data, anti-tampering monitoring of the electric bicycle is completed.

[0012] Furthermore, the obtaining of sensor data on the electric bicycle comprises the following steps:

[0013] Synchronously collect data detected by all sensors to obtain raw data;

[0014] The raw data is cleaned, denoised and standardized to obtain sensor data.

[0015] Furthermore, the analyzing and processing of the sensor data to obtain the electric bicycle data comprises the following steps:

[0016] Extracting features from the sensor data to obtain feature data;

[0017] Using a fusion algorithm to integrate the feature data to obtain fused data;

[0018] The fused data is processed using a context awareness model to obtain electric bicycle data.

[0019] Further, the performing fault detection on the electric bicycle data to obtain fault information comprises the following steps:

[0020] Using the electric bicycle data to train a machine learning model to obtain a detection model;

[0021] Obtaining abnormal detection data according to the detection model and current electric bicycle data;

[0022] The abnormality detection data is evaluated to obtain fault information.

[0023] Furthermore, the anti-tampering monitoring of the electric bicycle is completed according to the fault information and the electric bicycle data, including the following steps:

[0024] Using the fault information to establish a vehicle maintenance history database;

[0025] Establishing a prediction model based on the vehicle maintenance history database and the electric bicycle data;

[0026] Obtaining maintenance suggestion information according to the prediction model;

[0027] Set up security authentication and access mechanisms;

[0028] Set up alarm mechanisms;

[0029] Anti-tampering monitoring of the electric bicycle is completed based on the maintenance recommendation information, the security authentication and access mechanism, and the alarm mechanism.

[0030] On the other hand, an embodiment of the present invention further provides an anti-tampering monitoring device for electric bicycles based on the Internet of Things, the device comprising:

[0031] The first module acquires sensor data on the electric bicycle;

[0032] The second module analyzes and processes the sensor data to obtain electric bicycle data;

[0033] The third module performs fault detection on the electric bicycle data to obtain fault information;

[0034] The fourth module completes anti-tampering monitoring of the electric bicycle according to the fault information and the electric bicycle data.

[0035] Furthermore, the electric bicycle anti-tampering monitoring device based on the Internet of Things includes a sensor module, a data transmission unit, a cloud server, a user interface module, and an early warning module;

[0036] The sensor module includes a speed sensor, a power sensor, and a voltage sensor;

[0037] The data transmission unit is connected to the sensor module;

[0038] The data transmission unit is connected to the cloud server via a wireless network;

[0039] The cloud server is connected to the user interface module;

[0040] The cloud server is connected to the early warning module.

[0041] Furthermore, the Internet of Things-based electric bicycle anti-tampering monitoring device also includes a waterproof part, a dustproof part, and a shockproof part.

[0042] On the other hand, an embodiment of the present invention further provides an Internet of Things-based electric bicycle anti-tampering monitoring device, the device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the aforementioned method when executing the computer program.

[0043] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0044] The embodiments of the present application include at least the following beneficial effects: The present application provides an electric bicycle anti-tampering monitoring method and device, equipment and medium based on the Internet of Things. The scheme of the present invention obtains sensor data on the electric bicycle; analyzes and processes the sensor data to obtain electric bicycle data; performs fault detection on the electric bicycle data to obtain fault information; and completes the electric bicycle anti-tampering monitoring based on the fault information and the electric bicycle data. The present invention can provide users and managers with a comprehensive and convenient electric bicycle monitoring and management platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of an electric bicycle anti-tampering monitoring method based on the Internet of Things provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the embodiments of the present application. They are only examples of devices and methods consistent with some aspects of the embodiments of the present application as detailed in the attached claims.

[0047] It is understood that the terms "first", "second", etc. used in this application can be used to describe various concepts in this article, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another concept. For example, without departing from the scope of the embodiment of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the words "if" and "if" as used herein can be interpreted as "at the time of" or "when" or "in response to determination".

[0048] The terms "at least one", "multiple", "each", "any", etc. used in this application, at least one includes one, two or more, multiple includes two or more, each refers to each of the corresponding multiple, and any refers to any one of the multiple.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0050] Before describing the embodiments of the present application in detail, some nouns and terms involved in the embodiments of the present application are first described. The nouns and terms involved in the embodiments of the present application are subject to the following explanations.

[0051] 1) NB-IoT (Narrowband Internet of Things) is a low-power wide area network (LPWAN) technology.

[0052] 2) Cloud Server refers to a virtual server instance located in the data center of a cloud computing service provider.

[0053] The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0054] On the one hand, the embodiment of the present invention provides an anti-tampering monitoring method for an electric bicycle based on the Internet of Things. Specifically, referring to Figure 1 , the method comprises the following steps:

[0055] S100, obtaining sensor data on the electric bicycle;

[0056] S200, analyzing and processing the sensor data to obtain electric bicycle data;

[0057] S300, performing fault detection on the electric bicycle data to obtain fault information;

[0058] S400: Complete anti-tampering monitoring of the electric bicycle based on the fault information and the electric bicycle data.

[0059] The embodiment of the present invention discloses step S100 of acquiring sensor data on an electric bicycle, including the following steps:

[0060] S110, synchronously collect data detected by all sensors to obtain original data;

[0061] S120, cleaning, denoising and standardizing the raw data to obtain sensor data.

[0062] The embodiment of the present invention discloses that step S200 analyzes and processes the sensor data to obtain the electric bicycle data, including the following steps:

[0063] S210, extracting features from sensor data to obtain feature data;

[0064] S220, integrating the feature data using a fusion algorithm to obtain fused data;

[0065] S230: Use the context awareness model to process the fused data to obtain electric bicycle data.

[0066] The embodiment of the present invention discloses that step S300 performs fault detection on electric bicycle data to obtain fault information, including the following steps:

[0067] S310, using electric bicycle data to train a machine learning model to obtain a detection model;

[0068] S320, obtaining abnormal detection data according to the detection model and current electric bicycle data;

[0069] S330: Evaluate the abnormal detection data to obtain fault information.

[0070] The embodiment of the present invention discloses that step S400 completes anti-tampering monitoring of an electric bicycle according to fault information and electric bicycle data, including the following steps:

[0071] S410, using the fault information to establish a vehicle maintenance history database;

[0072] S420, establishing a prediction model based on the vehicle maintenance history database and the electric bicycle data;

[0073] S430, obtaining maintenance suggestion information according to the prediction model;

[0074] S440, setting up security authentication and access mechanism;

[0075] S450, setting an alarm mechanism;

[0076] S460, complete anti-tampering monitoring of the electric bicycle based on the maintenance recommendation information, security authentication and access mechanism, and alarm mechanism.

[0077] On the other hand, an embodiment of the present invention provides an anti-tampering monitoring device for electric bicycles based on the Internet of Things, the device comprising:

[0078] The first module acquires sensor data on the electric bicycle;

[0079] The second module analyzes and processes the sensor data to obtain the electric bicycle data;

[0080] The third module performs fault detection on the electric bicycle data to obtain fault information;

[0081] The fourth module completes the anti-tampering monitoring of electric bicycles based on fault information and electric bicycle data.

[0082] The electric bicycle anti-tampering monitoring device based on the Internet of Things provided by the embodiment of the present invention includes a sensor module, a data transmission unit, a cloud server, a user interface module, and an early warning module;

[0083] The sensor module includes a speed sensor, a power sensor, and a voltage sensor;

[0084] The data transmission unit is connected with the sensor module;

[0085] The data transmission unit is connected to the cloud server via a wireless network;

[0086] The cloud server is connected to the user interface module;

[0087] The cloud server is connected to the early warning module.

[0088] As an optional implementation manner, the monitoring device of the embodiment of the present invention includes:

[0089] Sensor modules for real-time monitoring of the speed, power and voltage of the e-bike;

[0090] A data transmission module (data transmission unit), used to wirelessly transmit monitoring data to a cloud server;

[0091] The early warning module is used to trigger an early warning when abnormal data is detected;

[0092] A user interface module, used to provide real-time data and history viewing functions of the electric bicycle and receive user feedback;

[0093] The sensor module includes a speed sensor, a power sensor, and a voltage sensor, which are configured to measure the driving speed, output power, and battery voltage of the electric bicycle with high accuracy.

[0094] The data transmission module adopts low-power, long-distance wireless communication technology, such as NB-IoT or 4G / 5G network, to ensure real-time and accurate data transmission.

[0095] The early warning module is configured to push early warning information to relevant managers or users via SMS, email or mobile application when abnormal parameters of the electric bicycle are detected.

[0096] The device also includes a data processing and analysis module, which is located on a cloud server and is used to receive, process and analyze data transmitted from the electric bicycle and identify parameter anomalies by comparing historical data with preset thresholds.

[0097] The data processing and analysis module is also used to conduct in-depth analysis of data stored in the cloud server to optimize the monitoring algorithm and improve the accuracy and timeliness of the early warning system.

[0098] The user interface module provides a friendly WEB interface or mobile application, allowing users and managers to easily view the real-time data and history of electric bicycles, and provides a feedback mechanism to improve and optimize the system.

[0099] The device also features an automatic update feature that periodically receives and installs system updates to keep the device functional and secure.

[0100] The Internet of Things-based electric bicycle tamper-proof monitoring device provided by the embodiment of the present invention also includes a waterproof part, a dustproof part, and a shockproof part.

[0101] As an optional implementation, the device of the embodiment of the present invention also includes waterproof, dustproof and shockproof designs to adapt to the use of electric bicycles in various environments.

[0102] Considering the lack of an effective real-time monitoring device for electric bicycle anti-tampering on the market, the present invention provides an electric bicycle anti-tampering monitoring method and device based on Internet of Things technology, which can monitor the key parameters of the electric bicycle in real time and promptly detect and handle potential tampering behaviors.

[0103] As an optional implementation, the present invention adopts the following technical solution:

[0104] 1. Device composition:

[0105] Sensor module: installed on the electric bicycle to monitor the vehicle's speed, power, voltage and other key parameters in real time.

[0106] IoT chip: Select low-power, high-performance IoT chips to ensure that the equipment works stably and reliably for a long time.

[0107] Data transmission module: upload real-time monitoring data to the cloud server through wireless networks (such as 4G / 5G, NB-IoT, etc.).

[0108] Waterproof, dustproof and shockproof design: to adapt to the complex usage environment of electric bicycles.

[0109] 2. Features:

[0110] Real-time monitoring: Use the IoT platform to develop a real-time monitoring system to perform real-time analysis on uploaded data.

[0111] Early warning mechanism: Once data anomalies are detected (such as parameter tampering), the system immediately triggers the early warning mechanism and notifies relevant management personnel.

[0112] Data analysis and optimization: Conduct in-depth analysis of historical data stored in cloud databases, optimize monitoring algorithms, and improve the accuracy and timeliness of early warning systems.

[0113] User interface: Develop a user-friendly WEB or APP interface to facilitate users and managers to view real-time data and historical records.

[0114] 3. Implementation steps:

[0115] R&D and testing: Develop and test hardware equipment and software systems to ensure their stability and accuracy.

[0116] Deployment: Work with e-bike manufacturers to install monitoring devices on new e-bikes.

[0117] Operation and maintenance: Continuously monitor e-bike parameters, handle early warning information in a timely manner, and continuously optimize the system based on user feedback.

[0118] The present invention realizes real-time monitoring of anti-tampering behavior of electric bicycles through Internet of Things technology, effectively improves the safety and compliance of electric bicycle use, and provides strong data support for electric bicycle manufacturers and regulatory authorities.

[0119] As an optional implementation, the electric bicycle anti-tampering monitoring device 100 of the present invention includes a sensor module 110 , a speed sensor 111 , a power sensor 112 , a voltage sensor 113 , a data transmission unit 120 , a cloud server 130 , a user interface module 140 , and an early warning module 150 .

[0120] The sensor module 110 includes a speed sensor 111, a power sensor 112 and a voltage sensor 113. These sensors are installed at key positions of the electric bicycle to monitor key parameters such as speed, power and voltage of the electric bicycle in real time.

[0121] The data transmission unit 120 is connected to the sensor module 110 and is responsible for transmitting the collected data to the cloud server 130 via a wireless network. The cloud server 130 processes, analyzes and stores the data.

[0122] The user interface module 140 is connected to the cloud server 130 to provide users with data viewing and feedback functions. The early warning module 150 triggers an early warning when abnormal data is detected, and promptly notifies users or managers.

[0123] Through the coordinated work of this series of components, the electric bicycle anti-tampering real-time monitoring device of the present invention can achieve real-time monitoring and early warning of key parameters of the electric bicycle, thereby improving the safety and compliance of the use of the electric bicycle.

[0124] As an optional implementation, the electric bicycle anti-tampering real-time monitoring device of the embodiment of the present invention is mainly based on the Internet of Things technology, and realizes real-time monitoring of the anti-tampering behavior of the electric bicycle by real-time collection, transmission and analysis of key parameter data of the electric bicycle:

[0125] 1. Hardware Deployment

[0126] Sensor module: This module includes speed sensors, power sensors and voltage sensors, which are precisely installed at key parts of the electric bicycle to monitor and collect data in real time.

[0127] Data transmission unit: This unit uses low-power, long-distance wireless communication technology (such as NB-IoT or 4G / 5G network) to transmit the collected data to the cloud server. This communication method ensures the real-time and accuracy of the data.

[0128] Waterproof, dustproof and shockproof design: In order to ensure the stable operation of the equipment in various environments, the entire device is designed to be waterproof, dustproof and shockproof to cope with various harsh conditions that may be encountered during the driving of electric bicycles.

[0129] 2. Component connection method:

[0130] 1. Sensors are connected to the electric bicycle: Speed ​​sensors, power sensors and voltage sensors are installed at key parts of the electric bicycle, such as wheels, motors and batteries, to accurately measure relevant parameters.

[0131] 2. Sensors are connected to the data transmission unit: The sensors are connected to the data transmission unit via wired or wireless means to ensure real-time and accurate transmission of data.

[0132] 3. The data transmission unit is connected to the cloud server: The data transmission unit uses wireless networks (such as 4G / 5G, NB-IoT, etc.) to establish a stable and secure connection with the cloud server to achieve remote data transmission.

[0133] 3. Software Operation Process

[0134] Data reception and processing: After the cloud server receives the data from the electric bicycle, it processes and analyzes the data through a preset algorithm to identify any abnormalities or tampering.

[0135] Real-time monitoring and early warning: Once the system detects abnormal data, such as sudden changes in speed, power or voltage, it will automatically trigger the early warning mechanism. The early warning information will be immediately sent to relevant managers or users via SMS, email or mobile application push.

[0136] Data analysis and optimization: The system not only monitors in real time, but also conducts in-depth analysis of the collected historical data. This analysis helps optimize the monitoring algorithm and improve the accuracy and response speed of the early warning system.

[0137] 4. User Interface and Interaction

[0138] WEB or APP interface: Users and managers can view the real-time data and history of electric bicycles through a friendly WEB interface or mobile application. This interface design allows users to easily understand the status of electric bicycles and receive any early warning information in time.

[0139] Feedback mechanism: Users can provide feedback through the interface and report any problems or suggestions. These feedbacks will be used for continuous improvement and optimization of the system.

[0140] 5. Software operation process:

[0141] 1. System initialization: After the device is started, the system is initialized first, including checking the connection status of the sensor, data transmission unit and cloud server to ensure that all components are working properly.

[0142] 2. Data acquisition: The sensor collects key parameters such as speed, power and voltage of the electric bicycle in real time and sends the data to the data transmission unit.

[0143] 3. Data transmission: After the data transmission unit receives the data sent by the sensor, it uploads the data to the cloud server in real time through the wireless network.

[0144] 4. Data processing and analysis: After receiving the data, the cloud server uses the preset algorithm to process and analyze the data. By comparing the historical data with the preset threshold, it can determine whether the parameters of the electric bicycle have been tampered with.

[0145] 5. Real-time monitoring and early warning: Once data anomalies are detected, such as parameters exceeding the preset range or being tampered with, the system will automatically trigger the early warning mechanism. The early warning information will be immediately sent to relevant managers or users via SMS, email or mobile application push.

[0146] 6. Data storage and backup: All received data will be stored in the database of the cloud server and backed up regularly to ensure data security and traceability.

[0147] 7. User interface and interaction: Users and managers can view the real-time data and history of electric bicycles through the WEB interface or mobile application. At the same time, users can also provide feedback and suggestions for continuous improvement and optimization of the system.

[0148] Through the specific implementation methods of the above-mentioned working principles, component connection methods and software operation processes, the electric bicycle anti-tampering real-time monitoring device of the present invention can realize real-time monitoring and early warning of key parameters of electric bicycles, effectively improving the safety and compliance of electric bicycle use.

[0149] The present invention provides an efficient and real-time anti-tampering monitoring solution for electric bicycles. By combining IoT technology and sophisticated sensor modules, the device can accurately monitor the key parameters of electric bicycles and promptly detect and handle potential tampering behaviors. In addition, through a user-friendly interface and feedback mechanism, the present invention provides users and managers with a comprehensive and convenient electric bicycle monitoring and management platform. This innovative solution not only improves the safety and compliance of electric bicycle use, but also provides valuable data support and insights for electric bicycle manufacturers and regulatory authorities.

[0150] On the other hand, an embodiment of the present invention further provides an Internet of Things-based electric bicycle anti-tampering monitoring device, the device includes a memory and a processor, the memory stores a computer program, and the processor implements the above method when executing the computer program.

[0151] The processor and the memory can be connected via a bus or other means. The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0152] The non-transient software program and instructions required to implement the electric bicycle anti-tampering monitoring method based on the Internet of Things in the above embodiment are stored in the memory, and when executed by the processor, the electric bicycle anti-tampering monitoring method based on the Internet of Things in the above embodiment is executed.

[0153] On the other hand, an embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above method is implemented.

[0154] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0155] The preferred embodiments of the present application are described above with reference to the accompanying drawings, but the scope of the rights of the present application is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present application should be within the scope of the rights of the present application.

Claims

1. An anti-tampering monitoring method for electric bicycles based on the Internet of Things, characterized in that: The method comprises the following steps: Get sensor data on the electric bicycle; Analyzing and processing the sensor data to obtain electric bicycle data; Performing fault detection on the electric bicycle data to obtain fault information; Anti-tampering monitoring of the electric bicycle is completed based on the fault information and the electric bicycle data.

2. The method according to claim 1, characterized in that The method of obtaining sensor data on the electric bicycle includes the following steps: Synchronously collect data detected by all sensors to obtain raw data; The raw data is cleaned, denoised and standardized to obtain sensor data.

3. The method according to claim 1, characterized in that The analyzing and processing of the sensor data to obtain the electric bicycle data comprises the following steps: Extracting features from the sensor data to obtain feature data; Using a fusion algorithm to integrate the feature data to obtain fused data; The fused data is processed using a context awareness model to obtain electric bicycle data.

4. The method according to claim 1, characterized in that The method of performing fault detection on the electric bicycle data to obtain fault information comprises the following steps: Using the electric bicycle data to train a machine learning model to obtain a detection model; Obtaining abnormal detection data according to the detection model and current electric bicycle data; The abnormality detection data is evaluated to obtain fault information.

5. The method according to claim 1, characterized in that The method of completing the anti-tampering monitoring of the electric bicycle according to the fault information and the electric bicycle data includes the following steps: Using the fault information to establish a vehicle maintenance history database; Establishing a prediction model based on the vehicle maintenance history database and the electric bicycle data; Obtaining maintenance suggestion information according to the prediction model; Set up security authentication and access mechanisms; Set up alarm mechanisms; Anti-tampering monitoring of the electric bicycle is completed based on the maintenance recommendation information, the security authentication and access mechanism, and the alarm mechanism.

6. An anti-tampering monitoring device for electric bicycles based on the Internet of Things, characterized in that: The device comprises: The first module acquires sensor data on the electric bicycle; The second module analyzes and processes the sensor data to obtain electric bicycle data; The third module performs fault detection on the electric bicycle data to obtain fault information; The fourth module completes anti-tampering monitoring of the electric bicycle according to the fault information and the electric bicycle data.

7. The device according to claim 6, characterized in that The device includes a sensor module, a data transmission unit, a cloud server, a user interface module, and an early warning module; The sensor module includes a speed sensor, a power sensor, and a voltage sensor; The data transmission unit is connected to the sensor module; The data transmission unit is connected to the cloud server via a wireless network; The cloud server is connected to the user interface module; The cloud server is connected to the early warning module.

8. The device according to claim 6, characterized in that The device also includes a waterproof part, a dustproof part, and a shockproof part.

9. An anti-tampering monitoring device for electric bicycles based on the Internet of Things, characterized in that: The device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 5 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Images