Electric bicycle fire safety early warning platform

Abstract

The application provides an electric bicycle fire safety early warning platform, and relates to the technical field of fire safety. The platform comprises: an over-standard vehicle database element import module; a vehicle information management module, which is used for obtaining vehicle basic information of an electric bicycle according to a handheld terminal; a voltage information management module; a positioning information management module; an early warning trigger module, which is used for outputting early warning information; and an electronic fence prevention and control module, which is used for performing virtual fence management on the electric bicycle according to the early warning information. The technical problem that electric bicycle supervision data of multiple departments is isolated from each other, lacks a unified data intercommunication and permission hierarchical management platform, and cannot realize cross-department sharing and collaborative disposal in the prior art is solved. Real-time sharing and hierarchical permission collaborative management of electric bicycle supervision data among multiple departments are realized, data islands are effectively broken, and cross-department joint supervision and collaborative disposal efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of fire safety technology, and in particular to a fire safety early warning platform for electric bicycles. Background Technology

[0002] Currently, the supervision of fire safety for electric bicycles mainly relies on handheld battery testing devices for on-site inspections of vehicles on the road, supplemented by paper ledgers or basic management information systems for recording and summarizing. However, existing handheld testing devices generally have limited functionality, only possessing basic voltage measurement capabilities. They cannot achieve integrated operations such as automatic vehicle information identification, real-time data transmission, and on-site feedback of test results. Furthermore, the devices operate independently, and the test data cannot be linked with the back-end system in real time, resulting in low inspection efficiency and low data utilization.

[0003] Meanwhile, although some localities have established electric bicycle management information systems, these existing systems are generally designed for single departments or single processes. Regulatory data between departments are isolated, lacking a unified data sharing and hierarchical management platform. Information such as information on non-compliant vehicles, testing data, and location data cannot be shared and collaboratively processed across departments, resulting in "data silos" and "information islands" between departments. Furthermore, existing technology lacks dynamic tracking and regional control measures for electric bicycles that exceed standards after detection. Non-compliant vehicles, even after being detected and penalized on the road, can still freely enter key control areas such as schools, hospitals, and large commercial complexes, making continuous monitoring and proactive early warning impossible. Fire safety hazards cannot be eradicated at their source. Summary of the Invention

[0004] This application solves the technical problems in the existing technology of isolated electric bicycle regulatory data among multiple departments, lack of a unified data exchange and hierarchical access management platform, and inability to achieve cross-departmental sharing and collaborative handling by providing an electric bicycle fire safety early warning platform.

[0005] This application provides an electric bicycle fire safety early warning platform, which includes: a non-compliant vehicle database element import module for acquiring relevant database elements of the non-compliant vehicle database; a vehicle information management module for acquiring basic vehicle information of the electric bicycle based on a handheld terminal; a voltage information management module for receiving voltage detection data of the electric bicycle sent by the handheld terminal; a location information management module for receiving detection location information of the electric bicycle sent by the handheld terminal; an early warning triggering module for outputting early warning information based on the relevant database elements, the basic vehicle information, the voltage detection data, and the detection location information; and an electronic fence control module for performing virtual fence management of the electric bicycle based on the early warning information.

[0006] The platform includes a supervision and record-keeping module, which is used to digitally record the regulatory process.

[0007] The platform includes a multi-department data exchange and hierarchical permission management module, which is used for data exchange and hierarchical permission management between multiple departments.

[0008] The substandard vehicle database element import module includes: a database acquisition unit for constructing the substandard vehicle database; and a feature recognition unit for performing feature recognition on the substandard vehicle database according to predetermined element indicators to obtain the relevant database elements.

[0009] The vehicle information management module includes: an activation unit for activating the vehicle information recognition module embedded in the handheld terminal; and an automatic recognition unit for automatically recognizing the electric bicycle based on the vehicle information recognition module and obtaining the vehicle's basic information.

[0010] The early warning triggering module includes: an early warning learning unit, used to construct a fire safety early warning model based on the relevant database elements; an input unit, used to input the voltage detection data into the fire safety early warning model to obtain the fire safety early warning level; and an early warning information generation unit, used to organize the fire safety early warning level, the vehicle basic information, and the detection location location information to generate the early warning information.

[0011] The early warning learning unit includes: a log acquisition unit for acquiring a fire safety early warning log library; a log cleaning unit for cleaning the fire safety early warning log library to acquire a fire safety early warning database; and a knowledge graph organization unit for organizing the fire safety early warning database and related database elements according to a knowledge graph to acquire the fire safety early warning model.

[0012] The electronic fence control module includes: a fence construction unit for constructing a virtual geographic electronic fence based on the early warning information; and an access early warning management unit for managing the access of the electric bicycle based on the virtual geographic electronic fence.

[0013] This application proposes an electric bicycle fire safety early warning platform, comprising: a non-compliant vehicle database element import module for acquiring relevant database elements of the non-compliant vehicle database; a vehicle information management module for acquiring basic vehicle information of the electric bicycle based on a handheld terminal; a voltage information management module for receiving voltage detection data of the electric bicycle sent by the handheld terminal; a location information management module for receiving the detection location location information of the electric bicycle sent by the handheld terminal; an early warning triggering module for outputting early warning information based on the relevant database elements, the basic vehicle information, the voltage detection data, and the detection location location information; and an electronic fence control module for virtual fence management of the electric bicycle based on the early warning information. This platform enables real-time sharing of electric bicycle regulatory data and hierarchical permission-based collaborative management among multiple departments, effectively breaking down data silos and improving the efficiency of cross-departmental joint supervision and collaborative handling. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the platform according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0015] Figure 1 This is a structural diagram of the electric bicycle fire safety early warning platform provided in this application.

[0016] Figure 2 A schematic diagram of the electronic fence control module in the electric bicycle fire safety early warning platform provided in this application.

[0017] Figure labeling: 1. Over-standard vehicle database element import module; 2. Vehicle information management module; 3. Voltage information management module; 4. Location information management module; 5. Early warning triggering module; 6. Electronic fence prevention and control module; 7. Supervision and record keeping module; 8. Multi-department data interoperability and hierarchical permission management module. Detailed Implementation

[0018] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" can be the same or different subsets of all possible embodiments and can be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terminology used herein is for the purpose of describing this application only.

[0021] In this embodiment, the present invention provides an electric bicycle fire safety early warning platform; please refer to the appendix. Figure 1 The platform includes: The Excess Vehicle Database Element Import Module 1 is used to acquire relevant database elements of the excess vehicle database. This module includes: a database acquisition unit for constructing the excess vehicle database; and a feature recognition unit for performing feature recognition on the excess vehicle database based on predetermined element indicators to acquire the relevant database elements. The Excess Vehicle Database Element Import Module first uses the database acquisition unit to collect information on excess electric bicycles discovered during sales source investigations, market supervision department registrations, and historical road inspections through batch import or integration with external systems. This collects information on excess vehicle models, abnormal license plate numbers, and related responsible persons. Based on this, the feature recognition unit extracts and matches features from each piece of structured data stored in the excess vehicle database according to predetermined element indicators, automatically extracting elements that meet the relevant database requirements. Predetermined element indicators include, but are not limited to, vehicle brand, model, frame number, motor number, battery rated voltage, and real-time detection voltage. Relevant database elements include excess vehicle model classifications, abnormal license plate number lists, battery voltage threshold ranges, and corresponding responsible person contact information. At the same time, relevant database elements are stored in the platform database in a unified data format for the early warning triggering module to retrieve and compare, thereby providing basic data support for subsequent vehicle detection data matching, exceeding standard judgment and early warning information generation.

[0022] Vehicle information management module 2 is used to acquire basic vehicle information of electric bicycles based on the handheld terminal. Vehicle information management module 2 includes: an activation unit for activating the vehicle information recognition module embedded in the handheld terminal; and an automatic recognition unit for automatically recognizing the electric bicycle information based on the vehicle information recognition module to acquire the basic vehicle information. After the law enforcement officer's handheld terminal is powered on, the activation unit in the vehicle information management module calls the handheld terminal system interface to trigger the embedded vehicle information recognition module to enter working state, including but not limited to activating the handheld terminal camera, activating the OCR image recognition engine, and image preprocessing algorithms. Subsequently, the automatic recognition unit, based on the activated vehicle information recognition module, points the terminal camera at the license plate area, frame number plate position, and brand logo on the electric bicycle to capture real-time image data containing vehicle appearance and logo information, and automatically detects, segments, and recognizes the license plate number, brand text, model number, frame number, and motor number in the real-time image data using the built-in OCR recognition algorithm. After recognition, the automatic recognition unit encapsulates the extracted license plate number, vehicle brand, vehicle model, frame number, motor number, and other parameters into basic vehicle information according to the platform's unified data format. Simultaneously, this basic vehicle information is displayed in real-time on the handheld terminal screen for verification by law enforcement personnel. Furthermore, if the OCR recognition confidence level falls below a preset threshold, the automatic recognition unit allows law enforcement personnel to manually input corrections or re-encode the image, ensuring the integrity and accuracy of the collected basic vehicle information and improving the reliability of fire safety warnings for electric bicycles.

[0023] The voltage information management module 3 is used to receive voltage detection data of the electric bicycle sent by the handheld terminal. After law enforcement officers complete the battery parameter detection of the electric bicycle through the handheld terminal, the data acquisition and upload module built into the handheld terminal encapsulates the voltage detection data generated during the detection process according to a preset data transmission protocol and sends it to the early warning platform in real time via 4G / 5G or Wi-Fi wireless network. The voltage information management module of the early warning platform receives the voltage detection data through a unified data receiving interface and parses and verifies the validity of the received voltage detection data, including checking the integrity of the detection data format and verifying the validity of the timestamp. After the verification is passed, the voltage detection data, including the real-time voltage value, detection time, handheld terminal device number, and associated vehicle identification information, is classified and stored in the voltage information management form of the database according to the platform's data storage structure, and an association index is established with the license plate number and frame number of the currently detected vehicle. At the same time, the voltage information management module marks the voltage detection data as pending early warning judgment and organizes the voltage data from multiple detections into a voltage history record sequence in chronological order according to the vehicle's unique identifier, for the early warning triggering module to call and compare. If the verification fails, the voltage information management module returns a data retransmission instruction to the handheld terminal and records a transmission error log to ensure that the voltage detection data received by the platform is complete, accurate, and traceable.

[0024] The location information management module 4 is used to receive the detection location location information of the electric bicycle sent by the handheld terminal. After law enforcement officers activate the handheld terminal and complete the location positioning, the Beidou / GPS dual-mode positioning module built into the handheld terminal collects the location location information such as longitude, latitude, altitude, and positioning time in real time. Subsequently, the location information management module, through the data acquisition and upload module of the handheld terminal, associates and encapsulates the collected location location information with the vehicle information, voltage detection data, and on-site photos in the current detection record according to the preset data transmission format, and sends it to the early warning platform in real time via 4G / 5G or Wi-Fi wireless network. The location information management module of the early warning platform receives the location location information through a unified data receiving interface. At the same time, the location information management module collects the location data of each detection according to the unique vehicle identifier, generates time series data of vehicle detection trajectory, which is used by the electronic fence control module to determine whether the non-compliant vehicle has entered or left the preset electronic fence area. If the location signal acquisition fails, the handheld terminal prompts law enforcement personnel to check the satellite signal or manually enter the detection address as a supplement. After receiving the supplementary address, the location information management module performs geocoding conversion and marks it as manually entered data to ensure that the location information of each detection location can be completely collected, accurately transmitted back, and effectively stored, providing accurate location data support for subsequent spatial tracking of vehicles exceeding the standard and triggering of electronic fences.

[0025] The early warning triggering module 5 is used to output early warning information based on the relevant database elements, the vehicle basic information, the voltage detection data, and the detection location information. The early warning triggering module includes: an early warning learning unit, an input unit, and an early warning information generation unit. The early warning learning unit is used to construct a fire safety early warning model based on the relevant database elements. The early warning learning unit includes: a log acquisition unit for acquiring a fire safety early warning log library; a log cleaning unit for cleaning the fire safety early warning log library to acquire a fire safety early warning database; and a knowledge graph processing unit for processing the fire safety early warning database and the relevant database elements based on a knowledge graph to acquire the fire safety early warning model.

[0026] The early warning learning unit first extracts all historical early warning records generated during past electric bicycle fire safety supervision processes from the early warning platform's historical database through the log acquisition unit. This includes vehicle information, voltage detection data, location information, early warning level, handling results, and feedback at the time of each early warning trigger, forming a fire safety early warning log library. Subsequently, the log cleaning unit cleans the fire safety early warning log library according to preset cleaning rules, including removing duplicate records, completing missing fields, correcting abnormal values, standardizing timestamp formats, and filtering redundant information irrelevant to early warning judgments. The cleaned structured data is then categorized and stored according to dimensions such as unique vehicle identifier, detection time, early warning trigger conditions, and handling results, resulting in a fire safety early warning database. Further, the graph processing unit, based on knowledge graph technology, uses vehicle brand, model, frame number, motor number, battery voltage threshold range, and associated responsible person information from relevant database elements as entity nodes, and the relationships between entities presented in the historical early warning records of the fire safety early warning database as entity edges. Through entity recognition, relationship extraction, and attribute alignment, a fire safety early warning model is constructed.

[0027] Specifically, the graph processing unit first performs structured parsing of historical warning records stored in the fire safety warning database, extracting key fields from each warning record, including vehicle brand, vehicle model, chassis number, motor number, battery detection voltage value, detection location information, warning trigger time, warning level, and final handling result. Simultaneously, it annotates the categories of vehicles exceeding standards, lists of abnormal license plates, battery voltage threshold ranges, and related responsible person information in the relevant database elements. Then, the graph processing unit treats vehicle brand, model, chassis number, motor number, battery voltage threshold range, and related responsible person information as entity nodes, defining a unique identifier and attribute set for each entity node. For example, for vehicle brand and model, attributes include the vehicle's factory rated voltage, the number of historical exceedance detections, and the probability of exceeding standards. For chassis number, attributes include vehicle production date, first registration date, and cumulative number of detections. For related responsible person information, attributes include the responsible person's name, contact information, number of vehicles under their name, and historical violation records.

[0028] The graph processing unit further uses the inter-entity relationships presented in the historical early warning records of the fire safety early warning database as entity edges. This includes constructing "excess-of-voltage association edges" based on the historical co-occurrence relationship between "vehicle brand-model" and "voltage exceeding limits"; constructing "spatiotemporal trajectory edges" based on the spatiotemporal correspondence between "vehicle identification number" and "inspection location information"; constructing "ownership relationship edges" based on the ownership relationship between "associated responsible person" and "vehicle"; and constructing "early warning mapping edges" based on the mapping relationship between "voltage detection value" and "early warning level." The strength of the association is characterized by setting weight attributes for each entity edge. For example, the more historical early warnings a certain brand and model of vehicle receives, the higher the weight value of its excess-of-voltage association edge.

[0029] Building upon this foundation, the graph processing unit employs a BERT-based entity recognition model to extract and align entities from semi-structured or unstructured data. A distance-based similarity matching algorithm is used to merge and integrate the extracted entities with existing entity nodes, eliminating entity conflicts such as synonyms and name variations caused by different data sources, thus achieving attribute alignment. Subsequently, the graph processing unit constructs triplet data based on entity nodes and entity edges. These triples are stored in a graph database and trained using a graph embedding algorithm to generate a fire safety early warning model that includes a multi-dimensional mapping relationship between vehicle features, detection parameters, and warning results. This improves the adaptability and reliability of fire safety early warning systems for electric bicycles.

[0030] The input unit is used to input the voltage detection data into the fire safety early warning model to obtain the fire safety early warning level. The early warning information generation unit is used to organize the fire safety early warning level, the vehicle basic information, and the detection location location information to generate the early warning information. The input unit receives the voltage detection data sent by the voltage information management module in real time through a unified data interface, and simultaneously retrieves the vehicle basic information and detection location location information associated with the current detection record from the vehicle information management module and the location information management module. The input unit standardizes and encodes the real-time voltage value, detection timestamp, equipment number, and associated vehicle brand, model, chassis number, license plate number, and detection location latitude and longitude coordinates in the voltage detection data, combines them into a complete input feature vector, and encapsulates it according to the input data format defined during the training of the fire safety early warning model before inputting it into the fire safety early warning model. The fire safety early warning model, based on the received input feature vector, calls the internally stored model parameters and multi-dimensional feature weights, and combines the comparison results of the instantaneous voltage value with the 60-volt threshold, the historical probability statistics of the vehicle brand and model exceeding the standard, the historical fire risk coefficient of the area where the detection location is located, and the vehicle's historical violation records to output the fire safety early warning level.

[0031] The fire safety warning level is returned to the warning trigger module in structured data form through a standardized output interface. The warning information generation unit receives the fire safety warning level output by the input unit and extracts the basic vehicle information and location information of the current detection record from the vehicle information management module and the location information management module, respectively. It then integrates the vehicle brand, model, license plate number, chassis number, detection voltage value, detection time, latitude and longitude coordinates of the detection location, and geographical location description with the fire safety warning level, assembling it into a complete warning message according to the platform's preset warning information data format. The warning message includes a warning level field, a warning trigger time field, a vehicle identification field, a detection data field, and a location information field. The warning information generation unit pushes the assembled warning message to the platform's front-end interface as a pop-up window, displaying it to law enforcement personnel in real time for confirmation and subsequent handling.

[0032] The electronic fence control module 6 is used to manage the electric bicycle using a virtual fence based on the early warning information. Figure 2As shown, the electronic fence control module includes a fence construction unit and an access warning management unit. The fence construction unit is used to construct a virtual geographic electronic fence based on the warning information; the access warning management unit is used to manage the access of the electric bicycle based on the virtual geographic electronic fence. After receiving the warning information sent by the warning information generation unit, the fence construction unit first extracts the longitude and latitude coordinates from the detection location location information as a center point reference, and simultaneously retrieves the associated responsible person information and vehicle identification of the over-standard vehicle stored in the over-standard vehicle database element import module. Based on preset control radius parameters (such as 500 meters, 1000 meters, or 2000 meters, dynamically determined according to the warning level), the fence construction unit uses the longitude and latitude coordinates of the detection location as the center and the control radius as the radius. By calling the reverse geocoding interface provided by the map service provider, it converts the center latitude and longitude into specific geographic location description information and discretizes the circular fence boundary into several consecutive latitude and longitude coordinate sequences, thus constructing a closed virtual geographic electronic fence.

[0033] The fence construction unit stores the generated virtual geographic electronic fence's boundary coordinate sequence, fence center point coordinates, control radius, fence type (no entry or no exit), effective time, associated vehicle frame numbers of non-compliant vehicles, and associated responsible person information in the platform's electronic fence database according to the platform's unified data format. It also marks the virtual geographic electronic fence as active and renders and displays the fence boundary and coverage area on the platform's map interface in a visual format. The access warning management unit receives real-time location information of electric bicycles reported by handheld terminals through the location information management module and analyzes the spatial relationship between the latitude and longitude coordinates in the real-time location information and the boundary coordinate sequence of the virtual geographic electronic fence. When the access warning management unit determines that the electric bicycle's real-time location information shows that the vehicle is leaving the electronic fence area—that is, when the vehicle's position is continuously monitored crossing from the inside area of ​​the fence to the outside area and exceeding the fence boundary—or when it determines that the non-compliant vehicle has completely left the coverage area of ​​the virtual geographic electronic fence, the access warning management unit immediately generates an access warning notification message containing the vehicle's identification, associated responsible person information, departure time, departure location coordinates, and the fence's range. On the one hand, the platform sends early warning information to law enforcement personnel and relevant responsible persons in the corresponding jurisdiction via pop-up windows and SMS through its early warning information push interface, reminding law enforcement personnel to intercept and handle the situation and conduct tracing and verification. On the other hand, the entry and exit early warning notification messages are stored in the platform's database and synchronized to the law enforcement supervision and record-keeping module, forming a complete record of electronic fence prevention and control events, and realizing real-time dynamic monitoring and early warning management of non-compliant electric bicycles entering and exiting the preset area.

[0034] like Figure 1As shown, the platform includes a supervision and record-keeping module 7. This module 7 is used to digitally record the regulatory process. Through the platform's unified log interface, the supervision and record-keeping module records and digitally stores all operational behaviors and business data involved in the electric bicycle fire safety supervision process in real time. Specifically, on the handheld terminal side, each time law enforcement personnel use the handheld terminal for testing, the supervision and record-keeping module automatically records the testing operation log, including the law enforcement personnel's identity information, the handheld terminal device number, the testing start and end times, the voltage testing data output by the battery parameter rapid testing module, the vehicle basic information identified by the vehicle information identification module (including license plate number, brand, model, frame number, and motor number), the latitude and longitude coordinates and positioning accuracy of the testing location collected by the positioning information management module, the testing results generated after the testing and the result feedback method (screen display or voice broadcast), and packages the above operation logs with the original testing data, transmitting them back to the early warning platform in real time via the data upload module. On the platform side, the monitoring and record-keeping module records all business operations within the early warning platform, including the import of elements from the database of vehicles exceeding standards (recording the importer, import time, data source, and number of imported items), early warning triggering operations (recording the trigger time, triggering conditions, output early warning level, early warning information content, and confirmation time and result of law enforcement personnel), electronic fence construction and access early warning management operations (recording the fence builder, construction time, fence boundary coordinates, control radius, associated vehicle information, access early warning trigger time, and early warning push result), multi-department data interoperability and hierarchical permission management operations (recording the login time, identity verification information, data query operations, data export operations, and cross-departmental data call records of users in each department), and all data addition, deletion, modification, and query operations within the platform.

[0035] Meanwhile, the supervision and record-keeping module employs blockchain technology to generate a unique digital digest and verification code for each operation log and business data, ensuring that the record-keeping data is tamper-proof and unforgeable. All record-keeping data is stored in a dedicated record-keeping database on the platform in a blockchain-like structure, ordered by operation time. A rapid retrieval mechanism is established using multiple indexes, including inspection record number, vehicle frame number, operator account, and operation time. When it is necessary to trace a specific inspection event or enforcement process, authorized users can input query conditions such as inspection record number, license plate number, or frame number through the platform's front-end interface. The supervision and record-keeping module automatically retrieves and reconstructs all operation sequences, raw data, and operator information associated with the event, displaying them visually on the platform interface in a timeline format for review and verification by enforcement and supervisory personnel from various departments. It also supports exporting record-keeping data as electronic reports with digital signatures and timestamps as needed, serving as the basis for enforcement supervision and accountability. This achieves traceability, record-keeping, and auditability for every step of the entire process of electric bicycle fire safety supervision.

[0036] like Figure 1 As shown, the platform includes a multi-department data interoperability and hierarchical access control module 8. This module is used for data interoperability and hierarchical access control among multiple departments. Deployed on the platform's server, it serves as a unified hub connecting user and business data from four departments: fire and rescue, public security, procuratorate, and market supervision. First, the module assigns independent login accounts and role identifiers to the four departments through a unified identity authentication interface, configuring corresponding functional permissions and data access scopes for each role. Specifically, the fire and rescue department is configured with permissions for real-time viewing of early warning information, deployment of electronic fence control, statistical analysis of detection data, and access to law enforcement supervision records. The public security department is configured with permissions for querying road surface detection data, verifying information on vehicles exceeding standards, tracking vehicle trajectories, and importing road checkpoint positioning data. The procuratorate is configured with permissions for full query of law enforcement supervision records, compliance review of regulatory processes, and retrieval of historical early warning records. Market supervision departments are granted permissions to import and maintain a database of vehicles exceeding emission standards at the source of sales, to query information on vehicles exceeding emission standards, to manage information on responsible persons associated with dealers, and to access testing data from the distribution process.

[0037] Building upon this foundation, the multi-department data interoperability and hierarchical access control module employs data virtualization technology to construct a unified logical data view. This view dynamically links and securely isolates various business data from the platform's database, including elements related to vehicles exceeding emission standards, basic vehicle information, voltage detection data, detection location information, early warning trigger records, electronic fence control records, and law enforcement supervision logs, according to the respective business needs and access permissions of the four departments. When an authorized user from any department initiates a data query or business operation request through the platform's front-end interface, the multi-department data interoperability and hierarchical access control module authenticates the request in real time based on the user's role identifier and permission configuration information. It determines whether the user has the permission to access the target data and the legitimacy of the operation type (query, add, modify, delete, or export). If authentication is successful, the request is forwarded to the corresponding data interface, and the query result is returned. If authentication fails, an "unauthorized access" message is returned, and an unauthorized access log is recorded in the supervision and auditing module.

[0038] Meanwhile, the multi-department data interoperability and hierarchical access control module enables real-time sharing and collaborative connection of cross-departmental early warning information and workflows through the platform's unified message bus. When the early warning trigger module generates an early warning, the module simultaneously pushes the warning information to high-authority user terminals in the fire and rescue department and public security department according to the warning level and type, following a preset push strategy. When sales source tracing is involved, it is simultaneously pushed to the market supervision department; when law enforcement standardization supervision is involved, the procuratorate is authorized to retrieve relevant records. Users in each department can collaboratively confirm and jointly handle early warning information within their respective permissions. The handling results are synchronously updated to the platform database through the multi-department data interoperability and hierarchical access control module and fed back to all relevant departments, achieving early warning sharing and workflow integration. In addition, the multi-department data interoperability and hierarchical access control module generates operation logs for all cross-department data interoperability operations, recording the data calling department, calling personnel, calling time, data type and calling purpose, and storing the operation logs in the supervision and auditing module for future reference. This breaks down data barriers between multiple departments while ensuring data security, and achieves unified data interoperability, early warning sharing, process connection and hierarchical access control among multiple departments.

[0039] In summary, the electric bicycle fire safety early warning platform provided in this application has the following technical effects: Through the coordinated operation of modules for importing database elements of non-compliant vehicles, vehicle information management, voltage information management, location information management, early warning triggering, and electronic fence control, a fully automated closed-loop management system is achieved, encompassing the acquisition of database elements, collection of basic vehicle information, reception of voltage detection data, reception of location information, output of early warning information, and management of virtual fences. The early warning triggering module comprehensively analyzes relevant database elements, basic vehicle information, voltage detection data, and location information of the detection site to output early warning information. The electronic fence control module automatically constructs a virtual geographic electronic fence for non-compliant vehicles based on the early warning information, requiring no manual intervention. This significantly improves the response speed and intelligence level of non-compliant electric bicycles from detection to regional control, achieving the proactive prevention and control goal of "detection equals early warning, early warning equals control."

[0040] The supervision and record-keeping module digitally records the entire regulatory process, automatically recording the handheld terminal detection operation logs and various business operation records of the platform. Blockchain evidence storage technology is used to ensure that the record data is tamper-proof and tamper-proof, achieving full traceability of the regulatory process.

[0041] Through a multi-department data interoperability and hierarchical access control module, independent role identifiers and differentiated functional permissions and data access scopes are assigned to multiple departments. This enables real-time sharing and collaborative access to information on vehicles exceeding standards, detection data, location information, and early warning records across multiple departments, while ensuring data security and isolation. This breaks down the technical barriers of data silos, platform incompatibility, and information sharing limitations in existing technologies, achieving a cross-departmental collaborative regulatory model of "one-stop detection, multi-party sharing, and joint handling."

[0042] Although this application makes various references to certain modules in the platform according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0043] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An electric bicycle fire safety early warning platform, characterized in that, The platform includes: The module for importing database elements of vehicles exceeding emission standards is used to obtain relevant database elements from the database of vehicles exceeding emission standards. The vehicle information management module is used to obtain basic vehicle information of electric bicycles based on the handheld terminal; The voltage information management module is used to receive voltage detection data of the electric bicycle sent by the handheld terminal; The location information management module is used to receive the detection location information of the electric bicycle sent by the handheld terminal; The early warning triggering module is used to output early warning information based on the relevant database elements, the vehicle basic information, the voltage detection data, and the detection location information. The electronic fence control module is used to manage the electric bicycle using a virtual fence based on the early warning information.

2. The platform as described in claim 1, characterized in that, The platform includes a supervision and record-keeping module, which is used to digitally record the regulatory process.

3. The platform as described in claim 1, characterized in that, The platform includes a multi-department data exchange and hierarchical access control module, which is used for data exchange and hierarchical access control between multiple departments.

4. The platform as described in claim 1, characterized in that, The module for importing elements from the database of vehicles exceeding standards includes: A database acquisition unit is used to construct the database of vehicles exceeding the standard; The feature recognition unit is used to perform feature recognition on the database of vehicles exceeding the standard according to predetermined element indicators, and to obtain the relevant database elements.

5. The platform as described in claim 1, characterized in that, The vehicle information management module includes: An activation unit is used to activate the vehicle information recognition module embedded in the handheld terminal. An automatic identification unit is used to automatically identify the information of the electric bicycle based on the vehicle information identification module and obtain the basic information of the vehicle.

6. The platform as described in claim 1, characterized in that, The early warning triggering module includes: The early warning learning unit is used to construct a fire safety early warning model based on the relevant database elements; The input unit is used to input the voltage detection data into the fire safety early warning model to obtain the fire safety early warning level; The early warning information generation unit is used to organize the fire safety early warning level, the vehicle basic information, and the detection location location information to generate the early warning information.

7. The platform as described in claim 6, characterized in that, The early warning learning unit includes: The log acquisition unit is used to acquire the fire safety early warning log database; The log cleaning unit is used to clean the fire safety early warning log library and obtain the fire safety early warning database. The knowledge graph processing unit is used to process the fire safety early warning database and related database elements based on the knowledge graph to obtain the fire safety early warning model.

8. The platform as described in claim 1, characterized in that, The electronic fence control module includes: A fence construction unit is used to construct a virtual geographic electronic fence based on the warning information. The entry / exit warning management unit is used to perform entry / exit warning management for the electric bicycle based on the virtual geographic electronic fence.

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