CN-122022133-A - Motor vehicle emission supervision method and system based on telemetry and OBD fusion

CN122022133ACN 122022133 ACN122022133 ACN 122022133ACN-122022133-A

Abstract

The invention relates to the technical field of analysis and monitoring of tail gas pollutants of motor vehicles, and particularly discloses a motor vehicle emission supervision method and system based on telemetry and OBD fusion, wherein the invention realizes more accurate motor vehicle emission supervision by combining a road telemetry technology and OBD data; the method comprises the steps of firstly obtaining vehicle passing characteristics, actually measured emission concentration and OBD real-time parameters, generating a group reference interval for reliability assessment, generating a dynamic self-checking instruction packet for suspicious vehicles, triggering a vehicle-mounted terminal to execute a diagnosis excitation script at a target remote point, collecting excitation response data, generating a depth diagnosis conclusion by analyzing the consistency of the dynamic response of the tail gas concentration and the excitation response data in an excitation period, updating the reliability score of the vehicle data according to the depth diagnosis conclusion, and generating an emission supervision instruction.

Inventors

TIAN FENG
XIE FANGJIAN
WANG YAN
Xie Diesong
ZHENG XINMEI
LIU CHUNLEI
Dou Daodao
SUN YUEYIN

Assignees

南京市生态环境保护科学研究院

Dates

Publication Date: 20260512
Application Date: 20260112

Claims (9)

1. A method for monitoring emissions of a motor vehicle based on telemetry and OBD fusion, comprising: s1, acquiring vehicle passing characteristics of a target vehicle passing through a remote measuring point, actually measured emission concentration acquired by the remote measuring point and an OBD real-time parameter set synchronously reported by a vehicle-mounted terminal of the target vehicle; S2, screening a plurality of mirror vehicles from a database storing historical supervision data according to the vehicle passing characteristics, and processing the historical data of the mirror vehicles to generate a group reference interval; S3, comparing and analyzing the OBD real-time parameter set and the actually measured emission concentration combined group reference interval to generate an initial credibility evaluation result; S4, when the initial reliability evaluation result indicates that the target vehicle is a suspicious vehicle, generating a dynamic self-checking instruction packet, and determining the next target remote point of the target vehicle to be task-bound with the dynamic self-checking instruction packet; S5, when the target vehicle reaches a target remote point, a starting state self-detection instruction packet is sent to the vehicle-mounted terminal of the target vehicle, so that the vehicle-mounted terminal is triggered to execute a diagnosis excitation script and acquire excitation response data; S6, receiving excitation response data reported by the vehicle-mounted terminal and the excitation period tail gas concentration synchronously collected by the target remote points, and carrying out dynamic response consistency analysis on the excitation period tail gas concentration and the excitation response data to generate a depth diagnosis conclusion; And S7, updating the data reliability score of the target vehicle according to the depth diagnosis conclusion, and generating a final emission supervision instruction based on the data reliability score.
2. The method for monitoring and controlling the emission of a motor vehicle based on the combination of telemetry and OBD according to claim 1, wherein the step of obtaining the traffic characteristics of the target vehicle when passing through the telemetry point comprises the steps of: Capturing a vehicle image through an image recognition unit arranged at a remote point, and analyzing the identity information of the target vehicle from the vehicle image; Measuring the instant speed and the instant acceleration of the target vehicle when the target vehicle passes through by an auxiliary sensing unit arranged at a remote measuring point; The identification information, the instantaneous speed and the instantaneous acceleration are combined into a vehicle passing feature.
3. The method of claim 1, wherein the step of processing historical data of a plurality of mirrored vehicles to generate a group reference interval comprises: Extracting a historical OBD parameter subset and a historical telemetering emission concentration value corresponding to a plurality of mirror vehicles from a database storing historical supervision data; performing joint statistical analysis on the historical OBD parameter subset and the historical telemetering emission concentration value, and establishing a joint distribution model capable of representing the normal vehicle running state; A population benchmark interval is derived based on the joint distribution model, wherein the population benchmark interval comprises an OBD parameter normal interval and an emission concentration expectancy interval dynamically associated with the OBD parameter normal interval.
4. A method of monitoring emissions of a motor vehicle based on telemetry and OBD fusion according to claim 3, wherein said specific step of generating an initial reliability assessment result comprises: judging whether the OBD real-time parameter set falls into an OBD parameter normal interval of the group reference interval; acquiring a corresponding emission concentration expected interval from the group reference interval based on the OBD real-time parameter set, and judging whether the actually measured emission concentration falls into the emission concentration expected interval; And generating an initial credibility evaluation result containing the clear abnormal mode identification according to the combination of the two judgment results.
5. The method for monitoring and controlling the emission of a motor vehicle based on the combination of telemetry and OBD according to claim 4, wherein the specific steps of generating a dynamic self-checking instruction packet and determining the next target telemetry point of the target vehicle to be task-bound with the dynamic self-checking instruction packet comprise: Selecting a matched script template from a diagnosis script template library according to an abnormal mode indicated in the initial credibility evaluation result to generate a dynamic self-checking instruction packet; acquiring real-time position and running state data of a target vehicle, and predicting a future running track by combining road network information; and selecting an optimal telemetry point from a plurality of candidate telemetry points based on the future running track as a target telemetry point, and binding the dynamic self-detection instruction packet with an identifier of the target telemetry point and a triggering time window.
6. The method for monitoring and managing the emission of the motor vehicle based on the fusion of the telemetry and the OBD according to claim 1, wherein the specific steps of triggering the vehicle-mounted terminal to execute the diagnosis excitation script and collecting the excitation response data comprise: The vehicle-mounted terminal analyzes the dynamic self-checking instruction packet and sends a parameter disturbance instruction to the vehicle engine control unit; Recording time series waveforms of a plurality of deep response parameters in a vehicle emission control system at an acquisition frequency higher than a conventional polling rate while transmitting a parameter disturbance command; The recorded time series waveform is packaged into excitation response data, wherein the deep response parameters include oxygen sensor response signals, catalyst temperature rate of change, and engine misfire count values.
7. The method of claim 1, wherein the step of dynamically analyzing the consistency of the excitation period tail gas concentration and the excitation response data to generate the depth diagnosis conclusion comprises: extracting a set of internal response features from the excitation response data and extracting a set of external emission response features from the excitation period tail gas concentration; establishing a dynamic transfer characteristic model for describing causal relationships from an internal response characteristic to an external emissions response characteristic; and comparing the dynamic transfer characteristic model with a standard dynamic transfer characteristic model representing a healthy vehicle, calculating a deviation index, and generating a depth diagnosis conclusion according to the deviation index.
8. The method for monitoring emissions of a motor vehicle based on telemetry and OBD fusion of claim 1, wherein the specific steps of updating the data reliability score of the target vehicle based on the depth diagnostic conclusion and generating the final emissions monitoring command based on the data reliability score comprise: if the depth diagnosis conclusion confirms that the physical fault is true, the OBD data credibility weight of the target vehicle is adjusted downwards, and the telemetry data credibility weight of the target vehicle is adjusted upwards correspondingly; if the depth diagnosis conclusion confirms that the OBD data is tampered, the OBD data credibility weight of the target vehicle is set to be the lowest level; and applying the updated OBD data reliability weight and the updated telemetry data reliability weight to all data analysis of the target vehicle in the future.
9. A vehicle emissions monitoring system based on telemetry and OBD fusion, comprising: The target vehicle data acquisition module acquires vehicle passing characteristics when a target vehicle passes through a remote measuring point, measured emission concentration acquired by the remote measuring point and an OBD real-time parameter set synchronously reported by a vehicle-mounted terminal of the target vehicle; The group reference interval generation module is used for screening a plurality of mirror vehicles from a database storing historical supervision data according to the vehicle passing characteristics and processing the historical data of the mirror vehicles to generate a group reference interval; The reliability evaluation result generation module is used for comparing and analyzing the OBD real-time parameter set and the actually measured emission concentration combined group reference interval to generate an initial reliability evaluation result; The dynamic self-checking instruction packet generation module is used for generating a dynamic self-checking instruction packet when the initial reliability evaluation result indicates that the target vehicle is a suspicious vehicle, and determining the next target remote point of the target vehicle so as to bind the task with the dynamic self-checking instruction packet; The excitation response data acquisition module is used for transmitting a start state self-detection instruction packet to the vehicle-mounted terminal when the target vehicle reaches a target remote point so as to trigger the vehicle-mounted terminal to execute a diagnosis excitation script and acquire excitation response data; the depth diagnosis conclusion generation module is used for receiving excitation response data reported by the vehicle-mounted terminal and the excitation period tail gas concentration synchronously collected by the target remote measuring point, and carrying out dynamic response consistency analysis on the excitation period tail gas concentration and the excitation response data to generate a depth diagnosis conclusion; And the emission supervision instruction generation module is used for updating the data reliability score of the target vehicle according to the depth diagnosis conclusion and generating a final emission supervision instruction based on the data reliability score.

Description

Motor vehicle emission supervision method and system based on telemetry and OBD fusion Technical Field The invention belongs to the technical field of analysis and monitoring of tail gas pollutants of motor vehicles, and relates to a motor vehicle emission supervision method and system based on telemetry and OBD fusion. Background The motor vehicle emission supervision is an important link of preventing and controlling the atmospheric pollution, and is characterized in that the pollutant discharged into the atmosphere by the motor vehicle is measured and analyzed by a specific technical means so as to ensure that the pollutant meets the requirements of environmental protection regulations. The supervision technology in the field mainly comprises road telemetry technology and OBD system monitoring. The road telemetry technology carries out non-contact measurement and analysis on the components and concentration of the tail gas instantaneously discharged by a running vehicle by arranging optical equipment and the like on the road side, and the vehicle-mounted diagnosis system is an electronic system carried by the vehicle and can monitor the running state of the engine and the performance parameters of the emission control system in real time. The data obtained by the two technologies are combined to comprehensively judge the actual emission condition of the vehicle, so that the method is an important development direction in the fields of current data analysis and environmental monitoring. In the prior art, in order to improve the supervision efficiency and coverage, a method of simply collecting and comparing the road telemetry data and the OBD data is generally adopted. It is common practice to retrieve OBD data for a vehicle when the telemetry device detects emissions from the vehicle exceeding a threshold, and to check for the presence of an associated fault code. Or the OBD data of the vehicle is reported to a supervision platform at regular intervals, and is loosely associated with the road surface telemetering screening result, so that the important attention is paid to the vehicle with the abnormality at the same time. These methods attempt to document each other through data from two different sources in an effort to find high emission vehicles. However, the prior art solutions described above have inherent technical drawbacks. Firstly, the simple data comparison lacks a deep fusion mechanism, huge information gaps exist between instantaneous objective data of telemetry and continuous subjective data of OBD, and when the two data are contradictory, for example, telemetry exceeds standard but OBD has no fault code, a system is difficult to judge whether the instantaneous working condition is caused or the OBD system is tampered or a diagnosis blind area exists. Secondly, the OBD data itself is generated from the interior of the vehicle, the authenticity of which cannot be effectively ensured, and there is a risk of being maliciously shielded or modified, resulting in a loss of reliability of the judgment based on this data. Thus, prior art combinations tend to stay at the surface splice of the data, failing to create an effective synergistic effect to overcome the respective limitations. Disclosure of Invention In view of this, in order to solve the problems presented in the background art, a method and a system for monitoring emission of a motor vehicle based on the combination of telemetry and OBD are now proposed. The invention provides a motor vehicle emission supervision method based on telemetry and OBD fusion, which comprises the following steps of S1, obtaining vehicle passing characteristics of a target vehicle when the target vehicle passes through a telemetry point, actually measured emission concentration collected by the telemetry point and an OBD real-time parameter set synchronously reported by a vehicle-mounted terminal of the target vehicle. S2, screening a plurality of mirror vehicles from a database storing historical supervision data according to the vehicle passing characteristics, and processing the historical data of the mirror vehicles to generate a group reference interval. S3, comparing and analyzing the OBD real-time parameter set and the actually measured emission concentration combined group reference interval to generate an initial credibility evaluation result. And S4, when the initial reliability evaluation result indicates that the target vehicle is a suspicious vehicle, generating a dynamic self-checking instruction packet, and determining the next target remote point of the target vehicle to be task-bound with the dynamic self-checking instruction packet. And S5, when the target vehicle reaches the target remote point, transmitting a start state self-detection instruction packet to the vehicle-mounted terminal so as to trigger the vehicle-mounted terminal to execute the diagnosis excitation script and collect excitation response data. S6, receiving excitation period