Mileage anti-cheating detection system based on multi-source data fusion

Abstract

The invention discloses a mileage anti-cheating detection system based on multi-source data fusion, and the system comprises the following steps: S1, starting pricing at the beginning of a journey, and enabling a vehicle to enter a normal driving state; s2, a wheel sensor collects mileage data, a vehicle-mounted terminal reads CAN mileage data, and a Beidou positioning module collects real-time coordinates of a vehicle and reports the real-time coordinates to a track service platform; s3, the track service platform carries out noise reduction and deviation rectification on the received coordinates, and then synchronizes data to an Internet of Vehicles platform; s4, ending the travel, ending pricing, reporting the actual metering mileage of the taximeter and the CAN mileage of the vehicle to the vehicle networking platform, and stopping uploading the real-time coordinates of the vehicle to the track service platform; and S5, the Internet of Vehicles platform compares the actual metering mileage of the taximeter, the CAN driving mileage and the Beidou positioning track route length according to a preset threshold, and gives an alarm if the actual metering mileage, the CAN driving mileage and the Beidou positioning track route length exceed the threshold. According to the invention, taximeter cheating can be comprehensively prevented, and rights and interests of passengers are practically maintained.

Description

Technical Field

[0001] The present invention relates to the technical field of taxi meter anti-cheating, and in particular to a mileage anti-cheating detection system based on multi-source data fusion. Background Art

[0002] With the continuous development of sensor technology, satellite positioning technology, Internet of Things technology and data analysis technology, technical support has been provided for the mileage anti-cheating detection system based on multi-source data fusion. For example, various sensors on the vehicle can collect data such as the vehicle's speed, acceleration, wheel speed, etc. in real time; the satellite positioning system can provide the vehicle's location and driving trajectory information; Internet of Things technology enables this data to be transmitted to the backend server in real time; and data analysis technology can fuse and analyze multi-source data to more accurately determine the authenticity of vehicle mileage data. The mileage anti-cheating detection system based on multi-source data fusion came into being under the dual impetus of market demand and technological development. It is of great significance to maintain the normal order of vehicle-related industries and protect the legitimate rights and interests of consumers and enterprises.

[0003] Taxi meter accuracy is crucial in taxi operations. Currently, common taxi meters primarily measure mileage using odometer sensors, with the meter calculating fares based on pulse signals. This traditional fare calculation method presents certain anti-cheating loopholes. Driven by profit, some unscrupulous individuals have secretly installed cheating devices, such as small motors, on the meter. These small motors generate additional pulse signals while the vehicle is in motion, causing the meter to calculate mileage that is higher than the actual mileage, thereby overcharging. This practice not only harms the legitimate rights and interests of passengers but also seriously disrupts the normal operation of the taxi market. Therefore, the taxi industry urgently needs a taxi anti-cheating technology that is cost-effective, highly compatible, and can effectively prevent cheating methods such as small motors to regulate market order and protect the legitimate rights and interests of passengers and drivers. Summary of the Invention

[0004] The purpose of the present invention is to provide a mileage anti-cheating detection system based on multi-source data fusion to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] Mileage anti-cheating detection system based on multi-source data fusion, including detection mechanism and detection method;

[0007] The detection mechanism includes a sensor with an encryption chip, a meter, an on-board terminal, a trajectory service platform, and a vehicle-connected platform; the sensor with an encryption chip is installed on the vehicle's gearbox interface. When the vehicle is driving, it drives the sensor's rotor to rotate. When the sensor's Hall element senses the approach of a magnet, it outputs a pulse signal. The pulse signal is encrypted by the encryption chip inside the sensor and converted into a digital signal, which is then output to the meter; the meter is used to receive the encrypted digital signal, decrypt it with a single-chip microcomputer, and then convert the mileage; the on-board terminal is used for the driver to make orders, display meter information, read CAN mileage, and perform Beidou positioning; the trajectory service platform is used to reduce noise, correct deviations, and calculate path length for reported trajectory points; the vehicle-connected platform is used for cheating identification and cheating warning;

[0008] The detection method comprises the following steps:

[0009] S1: Install and wire the sensors, meter, and vehicle terminal;

[0010] S2: The vehicle is turned on, the onboard terminal is powered on, and the driver application and meter application in the terminal are automatically started. After the startup is completed, the meter starts, and the vehicle enters the metering mode.

[0011] S3: When the vehicle is moving, the rotor of the sensor (containing the magnet) rotates, and the Hall element senses the approach of the magnet and outputs a pulse signal;

[0012] S4: The encryption chip inside the sensor encrypts the pulse signal, converts it into a digital signal, and then outputs it to the meter;

[0013] S5: After receiving the encrypted digital signal, the meter decrypts it through the internal microcontroller program and finally converts the signal data into the corresponding meter data;

[0014] S6: The meter synchronizes the calculated mileage data to the vehicle terminal every 200ms;

[0015] S7: The vehicle terminal displays the received meter information and reports the actual metered mileage (recorded as L1) to the vehicle connectivity platform after the trip is completed.

[0016] S8: The vehicle terminal will fully record the Beidou positioning trajectory data of the journey and synchronize it to the trajectory service platform in real time;

[0017] S9: The vehicle terminal reads the CAN mileage data S1 at the beginning of the trip and reads the CAN mileage data S2 again at the end of the trip, and finally reports the difference between S2 and S1 (denoted as: L2) to the vehicle connection platform;

[0018] S10: The trajectory service platform performs noise reduction and correction on the received positioning point data, then calculates the trajectory length between the start and end points of the trip (denoted as: L3), and finally reports it to the vehicle connection platform;

[0019] S11: The vehicle networking platform compares the L1 (meter mileage), L2 (mileage recorded by the vehicle CAN), and L3 (mileage of the track points located by Beidou positioning) recorded in each trip data record, and issues a cheating warning when the difference exceeds the threshold.

[0020] Preferably, the sensor with encryption chip has signal encryption and signal conversion capabilities.

[0021] Preferably, the meter has digital signal decryption capability.

[0022] Preferably, the vehicle-mounted terminal has the capabilities of driver ordering, real-time pricing display, CAN mileage reading and Beidou positioning data collection.

[0023] Preferably, the trajectory service platform has the capabilities of trajectory point noise reduction, deviation correction and trajectory path length calculation.

[0024] Preferably, the vehicle networking platform has the ability to define cheating rules, identify cheating and provide cheating warnings.

[0025] Preferably, the cheating warning in the vehicle networking platform can flexibly set the threshold to control the sensitivity of the alarm.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] This invention innovatively combines encrypted sensors, Beidou positioning, and CAN mileage reading to accurately monitor taxi mileage. The encrypted sensors effectively prevent data tampering, ensuring the authenticity and reliability of acquired mileage data. The Beidou positioning system provides real-time vehicle location information, providing auxiliary basis for mileage calculation. The CAN mileage reading accurately reads actual mileage data directly from the vehicle's CAN bus. These three elements work together to significantly improve the accuracy and comprehensiveness of mileage data detection.

[0028] The present invention also incorporates a scientific and rational alarm mechanism. During actual testing, if the discrepancy between the encrypted sensor, Beidou positioning, and CAN mileage reading exceeds a preset threshold, the system immediately triggers an alarm. This multi-data comparison-based alarm method can promptly and accurately detect and warn of potential cheating, effectively enhancing the anti-cheating capabilities of the taxi fare meter system, thereby better protecting the legitimate rights and interests of passengers and ensuring the normal operation of the taxi market. It has significant practical value and promising prospects for widespread application. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a detection flow chart of the present invention;

[0030] Figure 2 This is the business logic diagram of the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0032] The present invention provides a mileage anti-cheating detection system based on multi-source data fusion, including a detection mechanism and a detection method; the detection mechanism includes a sensor with an encryption chip, a meter, an on-board terminal (with a built-in driver APP and pricing APP), a trajectory service platform, and a vehicle-connected platform. The sensor with the encryption chip is installed on the vehicle's gearbox interface. When the vehicle is driving, it drives the rotor of the sensor (containing a magnet) to rotate. When the Hall element of the sensor senses the approach of the magnet, it outputs a pulse signal. After passing through the encryption chip inside the sensor, the pulse signal is encrypted and converted into a digital signal, which is then output to the meter; the meter is used to receive the encrypted digital signal, decrypt it through a single-chip microcomputer, and then perform mileage conversion; the on-board terminal is used for the driver to make orders, display meter information, read CAN mileage, and perform Beidou positioning; the trajectory service platform is used to reduce noise, correct deviations, and calculate path length for reported trajectory points; the vehicle-connected platform is used for cheating rule configuration, cheating screening, and cheating warning.

[0033] The detection method of the mileage anti-cheating detection system based on multi-source data fusion includes the following steps:

[0034] S1: Install and wire the sensors, meter, and vehicle terminal;

[0035] S2: The vehicle is turned on, the onboard terminal is powered on, and the driver application and meter application in the terminal are automatically started. After the startup is completed, the meter starts, and the vehicle enters the metering mode.

[0036] S3: When the vehicle is moving, the rotor of the sensor (containing the magnet) rotates, and the Hall element senses the approach of the magnet and outputs a pulse signal;

[0037] S4: The encryption chip inside the sensor encrypts the pulse signal, converts it into a digital signal, and then outputs it to the meter;

[0038] S5: After receiving the encrypted digital signal, the meter decrypts it through the internal microcontroller program and finally converts the signal data into the corresponding meter data;

[0039] S6: The meter synchronizes the calculated mileage data to the vehicle terminal every 200ms;

[0040] S7: The vehicle terminal displays the received meter information and reports the actual metered mileage (recorded as L1) to the vehicle connectivity platform after the trip is completed.

[0041] S8: The vehicle terminal will fully record the Beidou positioning trajectory point data of the journey and synchronize it to the trajectory service center in real time;

[0042] S9: The vehicle terminal reads the CAN mileage data S1 at the beginning of the trip and reads the CAN mileage data S2 again at the end of the trip, and finally reports the difference between S2 and S1 (denoted as: L2) to the vehicle connection platform;

[0043] S10: The trajectory service platform performs noise reduction and correction on the received positioning point data, then calculates the trajectory length between the start and end points of the trip (denoted as: L3), and finally reports it to the vehicle connection platform;

[0044] S11: The vehicle networking platform compares the L1 (meter mileage), L2 (mileage recorded by the vehicle CAN), and L3 (mileage of the track points located by Beidou positioning) recorded in each trip data record, and issues a cheating warning when the difference exceeds the threshold.

[0045] Furthermore, the sensor with encryption chip can directly replace traditional sensors and is compatible with common taximeters on the market.

[0046] Furthermore, the analysis of CAN mileage in the vehicle-mounted terminal uses underlying communication technology, which has little impact on the performance of the vehicle-mounted terminal.

[0047] Furthermore, the cheating warning in the vehicle networking platform can flexibly set the threshold to control the sensitivity of the alarm.

[0048] The present invention adopts a combination of software and hardware, which can effectively prevent meter cheating, fully protect the legitimate rights and interests of passengers, and improve the accuracy and reliability of taxi fares. It has significant innovation and practicality.

[0049] It is worth noting that pulse sensors, meters and other equipment are commonly used in the taxi industry and belong to existing common knowledge technology. Their electrical connection relationships and specific circuit structures will not be described in detail here.

[0050] We now provide relevant experimental data for this program

[0051] Core Experiment Data Table

[0052] The following is the core experimental data collected to support the patent application of the mileage anti-cheating detection system based on multi-source data fusion. The fields include order number, CAN mileage, GPS mileage, meter mileage, CAN difference (%), and GPS difference (%):

[0053]

[0054]

[0055] The above data further demonstrates that, during actual testing, the present invention's solution triggers an alarm when the discrepancy between the encrypted sensor, Beidou positioning, and CAN mileage readings exceeds a preset threshold. This multi-data comparison-based alarm method can promptly and accurately detect and warn of potential cheating, effectively enhancing the anti-cheating capabilities of the taxi fare meter system, thereby better protecting the legitimate rights and interests of passengers and ensuring the normal operation of the taxi market. It possesses significant practical value and promising prospects for widespread application.

[0056] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A mileage anti-cheating detection system based on multi-source data fusion, characterized by: Including testing organizations and testing methods; The detection mechanism includes a sensor with an encryption chip, a taximeter, an on-board terminal, a tracking service platform, and a vehicle-connected platform. The sensor with the encryption chip is installed on the vehicle's gearbox interface. When the vehicle is driving, it drives the sensor's rotor to rotate. When the sensor's Hall element senses the approach of a magnet, it outputs a pulse signal. The pulse signal is encrypted by the encryption chip inside the sensor and converted into a digital signal, which is then output to the taximeter. The taximeter is used to receive encrypted digital signals, decrypt them through the microcontroller, and convert them into mileage. The onboard terminal is used by the driver to make orders, display meter information, read CAN mileage, and perform Beidou positioning. The trajectory service platform is used to reduce noise, correct deviations, and calculate path length for reported trajectory points. The vehicle-connected platform is used for fraud detection and early warning. The detection method comprises the following steps: S1: Install and wire the sensors, meter, and vehicle terminal; S2: The vehicle is turned on, the onboard terminal is powered on, and the driver application and meter application in the terminal are automatically started. After the startup is completed, the meter starts, and the vehicle enters the metering mode. S3: When the vehicle is moving, the rotor of the sensor (containing the magnet) rotates, and the Hall element senses the approach of the magnet and outputs a pulse signal; S4: The encryption chip inside the sensor encrypts the pulse signal, converts it into a digital signal, and then outputs it to the meter; S5: After receiving the encrypted digital signal, the meter decrypts it through the internal microcontroller program and finally converts the signal data into the corresponding meter data; S6: The meter synchronizes the calculated mileage data to the vehicle terminal every 200ms; S7: The vehicle terminal displays the received meter information and reports the actual metered mileage (recorded as L1) to the vehicle connectivity platform after the trip is completed. S8: The vehicle terminal will fully record the Beidou positioning trajectory data of the journey and synchronize it to the trajectory service platform in real time; S9: The vehicle terminal reads the CAN mileage data S1 at the beginning of the trip and reads the CAN mileage data S2 again at the end of the trip, and finally reports the difference between S2 and S1 (denoted as: L2) to the vehicle connection platform; S10: The trajectory service platform performs noise reduction and correction on the received positioning point data, then calculates the trajectory length between the start and end points of the trip (denoted as: L3), and finally reports it to the vehicle connection platform; S11: The vehicle networking platform compares the L1 (meter mileage), L2 (mileage recorded by the vehicle CAN), and L3 (mileage of the track points located by Beidou positioning) recorded in each trip data record, and issues a cheating warning when the difference exceeds the threshold.

2. The mileage anti-cheating detection system based on multi-source data fusion according to claim 1 is characterized by: The sensor with the encryption chip has signal encryption and signal conversion capabilities.

3. The mileage anti-cheating detection system based on multi-source data fusion according to claim 1 is characterized by: The meter has digital signal decryption capability.

4. The mileage anti-cheating detection system based on multi-source data fusion according to claim 1 is characterized by: The vehicle-mounted terminal has the capabilities of driver ordering, real-time price display, CAN mileage reading and Beidou positioning data collection.

5. The mileage anti-cheating detection system based on multi-source data fusion according to claim 1 is characterized by: The trajectory service platform has the capabilities of trajectory point noise reduction, deviation correction and trajectory path length calculation.

6. The mileage anti-cheating detection system based on multi-source data fusion according to claim 1 is characterized by: The vehicle networking platform has the ability to define cheating rules, identify cheating and provide cheating warnings.

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