A motor vehicle emission analysis device and system
By integrating multi-source pollutant sensing modules and intelligent algorithms, combined with environmental parameters, the accuracy and real-time issues of traditional motor vehicle emission detection have been resolved, achieving efficient and accurate emission monitoring and data management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG PROVINCIAL ECO ENVIRONMENT MONITORING CENT
- Filing Date
- 2026-02-13
- Publication Date
- 2026-05-29
AI Technical Summary
Existing vehicle emission testing technologies suffer from low accuracy and poor real-time performance, making them unable to effectively cope with complex and ever-changing emission conditions. They also lack data edge processing capabilities, are complex to operate, and cannot achieve efficient and accurate automatic monitoring and data archiving.
It employs a multi-source pollutant sensing module, an intelligent emission behavior modeling module, a data edge intelligent processing decision module, and a positioning and detection process management module. It integrates multiple sensors and intelligent algorithms, and combines environmental parameters such as temperature, humidity, and atmospheric pressure. Through technologies such as NDIR, ultraviolet-visible absorption, and electrochemical sensors, it monitors and analyzes the emission status of motor vehicles in real time.
It enables precise real-time monitoring and analysis of vehicle exhaust emissions, ensuring data accuracy, improving detection efficiency and accuracy, and supporting efficient data management and automated operation.
Smart Images
Figure CN122117114A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of motor vehicle emission testing technology, and in particular to a motor vehicle emission analysis device and system. Background Technology
[0002] With increasing global environmental awareness, the impact of vehicle emissions on air quality and the ecological environment has become a growing focus of public concern. Pollutants emitted by vehicles, especially harmful gases such as CO, CO2, HC, NO, and NO2, directly affect human health and environmental quality. Therefore, timely and accurate monitoring and analysis of vehicle emissions has become a crucial issue for the environmental protection industry. To cope with increasingly stringent emission standards and policy requirements, more and more countries and regions have begun to strengthen vehicle emission testing and regulation. Traditional vehicle emission testing methods mainly rely on exhaust gas analyzers and manual testing. While these methods can be effective in certain situations, with the increasing demands for environmental protection, the accuracy and efficiency of traditional testing technologies can no longer meet the needs of modern emission monitoring.
[0003] Existing vehicle emission testing technologies typically rely on single sensors or detection devices. These traditional systems are mostly based on chemical analysis. While they can monitor the concentration of specific pollutants, their single sensing method usually results in low accuracy and real-time performance, making them unable to effectively cope with complex and changing emission conditions. In existing technologies, environmental factors affecting emission testing (such as temperature, humidity, and atmospheric pressure) are often not adequately considered, leading to significant errors in the test data and making it difficult to ensure accuracy and consistency. Many traditional emission monitoring devices also lack data edge processing capabilities, requiring substantial computation and data transmission, impacting the real-time performance and efficiency of the detection. Traditional emission testing systems often lack automation and intelligent processing, have complex user interfaces, and rely on manual operation for data recording and management, failing to achieve efficient and accurate automatic monitoring and data archiving. Therefore, we provide a vehicle emission analysis device and system. Summary of the Invention
[0004] The purpose of this invention is to overcome the shortcomings of the existing technology and to propose a motor vehicle emission analysis device and system.
[0005] To achieve the above objectives, the present invention adopts the following technical solution:
[0006] A motor vehicle emission analysis device and system includes: a trolley, on which an analysis instrument is mounted, a fan is mounted at one end of the analysis instrument, an exhaust pipe is mounted on one side of the fan, and a working motor is mounted on the side of the fan away from the exhaust pipe.
[0007] The analytical instrument is mounted on a trolley, one end of the fan is connected to the analytical instrument, one end of the exhaust pipe is connected to one side of the fan, and the working motor is fixed on the trolley, with one end of the working motor connected to the fan.
[0008] The present invention is further configured to include: a multi-source pollutant sensing module for real-time monitoring and sensing of pollutant data from different sources; an emission behavior intelligent modeling module for predicting pollutant emissions by constructing a dynamic model of emission source behavior through intelligent algorithms; a data edge intelligent processing decision module for intelligent processing at the data acquisition end to optimize data decision-making and response speed; and a location detection process management module for accurately locating pollution sources and managing related detection processes and data records.
[0009] The present invention is further configured such that: the multi-source pollutant sensing module includes a spectral identification module for identifying the core pollutant gases CO, CO2, HC, NO, and NO2 using NDIR and UV-Vis absorption methods; an electrochemical cross-array module for simultaneously detecting and identifying cross-interference of multiple gases and dynamically adjusting sampling sensitivity using an electrochemical array sensor deployment strategy; a particulate matter light blocking module for simultaneously acquiring particulate matter concentration / opaqueness / light absorption coefficient using a laser transmission imaging sensor array combined with a scattering model; a fluid dynamic sampling module for achieving dilution sampling, constant temperature flow control, and backflushing self-cleaning by equipping a sampling probe + dynamic fan + flow control structure; and a conditional environmental sensing integration module for integrating environmental monitoring nodes for temperature, humidity, atmospheric pressure, wind speed, and dew point.
[0010] The present invention is further configured such that: the intelligent emission behavior modeling module includes a speed behavior acquisition module for automatically switching measurement modes on demand using a combination of multiple speed acquisition technologies such as acoustic waves, magnetoelectric, and photoelectric; a real-time flow estimation module for acquiring raw data using the V-cone pressure difference method or ultrasonic flowmeter and calculating the operating flow rate and standard flow rate in real time with temperature / pressure; an exhaust mass calculation module for real-time execution (mass = concentration × flow rate) supporting multiple modes of emission mass per unit time, specific emission, and concentration correction (humidity, dilution); a fuel characteristic reasoning module for inferring fuel type and dilution coefficient based on the CO and CO2 concentration ratio + a known α coefficient, supporting dynamic switching of gasoline, natural gas, and LPG; and a humidity correction coefficient for estimating the partial pressure of water vapor and absolute humidity in the air using temperature and humidity parameters. A humidity simulation correction module that performs NO measurement correction.
[0011] The present invention is further configured such that: the data edge intelligent processing decision module includes an embedded real-time control processing core module for task scheduling using ARM+FreeRTOS, collecting and parsing all sensor data sampling rhythm control, data synchronization, and communication status management; a concentration integration engine correction module for real-time execution of dilution correction, humidity correction, and data integration per unit time to generate cumulative emission quality and statistical data; a graphical human-machine interaction module for displaying detection status, current pollutant concentration, and emission quality on a 6-inch LCD screen, and for parameter configuration and process control via physical buttons / WIFI; a communication bridging module for providing USB, RS232, RS485, wired / WIFI / Bluetooth communication interfaces, supporting synchronous communication with PCs, mobile devices, and servers, with optional MQTT, Modbus, and TCP / IP; and a modular data abstraction module for encapsulating different types of data into a standard frame format for unified parsing, processing, and display, suitable for later system expansion or embedding edge AI chips for rapid discrimination.
[0012] The present invention is further configured such that: the positioning and detection process management module includes a GNSS spatial positioning module for embedding a GNSS module to detect geographical location and timestamp records, and supporting the automatic addition of location information in data reporting for pollution maps or equipment source tracing; a guidance and interactive process prompt module for configuring an audio-visual + graphic guidance mechanism to prompt the vehicle operator / manager to complete the detection action, including status confirmation, speed matching prompts, and fault alarm functions; a detection record archiving module for automatically recording the time, location, vehicle information, and pollutant data of each detection, and supporting one-click export of PDF reports or uploading to the regulatory platform; a vehicle information identification and binding module for optional RFID, QR code, or camera recognition to bind vehicle identity, corresponding one-to-one with emission data, and improving data credibility; and a multi-terminal task management and synchronization module for supporting remote task scheduling, real-time push of detection data to the cloud platform, and optional App for viewing detection records, remotely monitoring status, and receiving early warnings.
[0013] The present invention is further configured such that: the spectral recognition module identifies the core polluting gas through optical technology, providing gas concentration identification results for the electrochemical cross-array module; the electrochemical cross-array module provides accurate particulate matter concentration data for the particulate matter light blocking module by adjusting sampling sensitivity and dynamic interference processing; the particulate matter light blocking module acquires particulate matter concentration data through laser sensor technology, providing real-time particulate matter information for the hydrodynamic sampling module; and the hydrodynamic sampling module provides necessary environmental data support for the conditional environmental perception integration module by diluting and sampling the emitted gas and controlling its flow.
[0014] The present invention is further configured such that: the engine speed behavior acquisition module acquires engine speed data in real time through various speed acquisition technologies, providing key speed information for the exhaust quality calculation module; the real-time flow estimation module provides exhaust flow data support for the exhaust quality calculation module through temperature, pressure, and flow calculation; the exhaust quality calculation module calculates pollutant emissions through concentration and flow, providing emission quality data for the fuel characteristic inference module; the fuel characteristic inference module provides fuel characteristic-related data for the humidity simulation correction module by analyzing the ratio of CO and CO2 concentrations and fuel type; and the humidity simulation correction module provides humidity-corrected emission data for the embedded real-time control processing core module by estimating the humidity correction coefficient.
[0015] The present invention is further configured such that: the embedded real-time control processing core module performs real-time task scheduling through ARM+FreeRTOS, providing real-time detection data display for the graphical human-computer interaction module; the graphical human-computer interaction module displays pollutant concentration and emission quality through an LCD screen, providing a data exchange interface for the communication bridging module; and the communication bridging module provides emission data output in a unified format for the modular data abstraction module by supporting multiple communication methods.
[0016] The present invention is further configured such that: the GNSS spatial positioning module provides accurate detection location information to the guidance and interaction process prompting module by recording geographical location and timestamp information; the guidance and interaction process prompting module interacts with the operator through audio and visual prompts, providing vehicle identification information during the detection process to the vehicle information identification and binding module; the vehicle information identification and binding module provides vehicle identity binding and detection data recording to the multi-terminal task management and synchronization module through RFID or QR code technology; and the multi-terminal task management and synchronization module provides real-time data uploading and early warning information to the detection record archiving module through remote push and monitoring functions.
[0017] The beneficial effects of this invention are as follows:
[0018] This invention integrates multiple sensors and intelligent algorithms to achieve accurate real-time monitoring and analysis of vehicle exhaust emissions. Employing a multi-source pollutant sensing module, it utilizes technologies such as NDIR, UV-Vis absorption, and electrochemical sensors to accurately collect concentration data of pollutants including CO, CO2, HC, NO, and NO2. A dynamic model predicts pollutant emission behavior, and environmental parameters such as temperature, humidity, and atmospheric pressure are used for correction to ensure data accuracy. Using a V-cone flow meter and other sensors, the system can also calculate emission flow rate and pollutant emission mass in real time. An intelligent data edge processing module, using embedded ARM+FreeRTOS technology, rapidly processes the collected data and supports graphical interface display of detection results for timely operator response. A positioning and detection process management module, combined with GNSS positioning, ensures accurate traceability and data archiving throughout the detection process. This system achieves efficient and accurate emission monitoring, providing reliable data support for environmental protection while improving detection efficiency and accuracy, effectively solving the challenges of traditional vehicle emission detection. Attached Figure Description
[0019] Figure 1 This is a schematic diagram of the device apparatus in this invention;
[0020] Figure 2 This is an exploded view of the device structure in this invention.
[0021] Figure 3 This is a schematic diagram of the system modules in this invention;
[0022] Figure 4 This is a schematic diagram of the motor vehicle emission analysis system architecture in this invention;
[0023] Figure 5 This is a schematic diagram of the traffic acquisition software process in this invention;
[0024] Figure 6 This is a schematic diagram of the gas collection process in this invention;
[0025] Figure 7 This is a schematic diagram of the PC interaction process for data integration and processing in this invention;
[0026] Attachment title
[0027] 1. Cart; 2. Analytical instruments; 3. Fan; 4. Exhaust duct; 5. Working motor. Detailed Implementation
[0028] To make the technical problems, technical solutions, and beneficial effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the described embodiments are only a part of the embodiments of this application, not all of them. The specific embodiments described herein are only used to explain the invention and are not intended to limit the invention. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0029] It should be further noted that the accompanying drawings and embodiments of the present invention mainly describe the concept of the present invention. Based on this concept, some specific forms and arrangements of connection relationships, positional relationships, power mechanisms, power supply systems, hydraulic systems and control systems may not be fully described. However, under the premise that those skilled in the art understand the concept of the present invention, they can implement the above-mentioned specific forms and arrangements in a well-known manner.
[0030] When a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on the other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.
[0031] The directional terms "inner" and "outer" refer to the inner and outer contours of each component itself. The terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention.
[0032] For ease of description, spatial relative terms such as "above," "over," "on the upper surface of," "above," etc., are used herein to describe the spatial positional relationship of a device or feature as shown in the figures to other devices or features. It should be understood that spatial relative terms are intended to encompass different orientations in use or operation beyond the orientation of the device as described in the figures. For example, if the device in the figures were inverted, a device described as "above" or "above" other devices or structures would subsequently be positioned as "below" or "under" other devices or structures. Thus, the exemplary term "above" can include both "above" and "below." The device may also be positioned in other different ways, and the spatial relative descriptions used herein will be interpreted accordingly.
[0033] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, and "several" means one or more, unless otherwise explicitly specified.
[0034] The present invention will now describe a motor vehicle emission analysis device and system.
[0035] Example 1
[0036] like Figure 1-7 As shown, the present invention provides a technical solution: a motor vehicle emission analysis device and system, comprising: a trolley 1, an analysis instrument 2 mounted on the trolley 1, a fan 3 mounted at one end of the analysis instrument 2, an exhaust pipe 4 mounted on one side of the fan 3, and a working motor 5 mounted on the side of the fan 3 away from the exhaust pipe 4.
[0037] The analytical instrument 2 is mounted on the trolley 1, one end of the fan 3 is connected to the analytical instrument 2, one end of the exhaust pipe 4 is connected to one side of the fan 3, and the working motor 5 is fixed on the trolley 1, with one end of the working motor 5 connected to the fan 3.
[0038] It includes a multi-source pollutant sensing module for real-time monitoring and sensing of pollutant data from different sources; an emission behavior intelligent modeling module for predicting pollutant emissions by constructing dynamic models of emission source behavior through intelligent algorithms; a data edge intelligent processing decision module for intelligent processing at the data acquisition end to optimize data decision-making and response speed; and a location detection process management module for accurately locating pollution sources and managing related detection processes and data records.
[0039] The multi-source pollutant sensing module includes a spectral identification module for identifying core pollutant gases such as CO, CO2, HC, NO, and NO2 using NDIR and UV-Vis absorption methods; an electrochemical cross-array module for simultaneously detecting and identifying cross-interference of multiple gases and dynamically adjusting sampling sensitivity using an electrochemical array sensor deployment strategy; a particulate matter light blocking module for simultaneously acquiring particulate matter concentration / opaqueness / light absorption coefficient using a laser transmission imaging sensor array combined with a scattering model; a fluid dynamic sampling module for achieving dilution sampling, constant temperature flow control, and backflushing self-cleaning by equipping a sampling probe + dynamic fan + flow control structure; and a conditional environmental sensing integration module for integrating environmental monitoring nodes for temperature, humidity, atmospheric pressure, wind speed, and dew point.
[0040] The intelligent emission behavior modeling module includes: a speed behavior acquisition module for automatically switching measurement methods on demand using a combination of multiple speed acquisition technologies such as acoustic waves, magnetoelectric, and photoelectric; a real-time flow estimation module for collecting raw data using the V-cone pressure difference method or ultrasonic flowmeter and calculating operating flow rate and standard flow rate in real time with temperature / pressure; an exhaust mass calculation module for real-time execution (mass = concentration × flow rate) supporting multiple modes such as emission mass per unit time, specific emission, and concentration correction (humidity, dilution); a fuel characteristic reasoning module for inferring fuel type and dilution coefficient from the CO and CO2 concentration ratio plus a known α coefficient, supporting dynamic switching between gasoline, natural gas, and LPG; and a humidity correction coefficient for estimating water vapor partial pressure and absolute humidity in the air using temperature and humidity parameters. A humidity simulation correction module for NO measurement correction;
[0041] The data edge intelligent processing decision module includes an embedded real-time control processing core module for task scheduling using ARM+FreeRTOS, collecting and parsing all sensor data, controlling sampling rhythm, data synchronization, and communication status management; a concentration integration engine correction module for real-time execution of dilution correction, humidity correction, and data integration per unit time to generate cumulative emission quality and statistical data; a graphical human-machine interaction module for displaying detection status, current pollutant concentration, and emission quality on a 6-inch LCD screen, and allowing parameter configuration and process control via physical buttons / WIFI; a communication bridging module that provides USB, RS232, RS485, wired / WIFI / Bluetooth communication interfaces, supports synchronous communication with PCs, mobile devices, and servers, and offers optional MQTT, Modbus, and TCP / IP; and a modular data abstraction module that encapsulates different types of data into a standard frame format for unified parsing, processing, and display, suitable for future system expansion or embedding edge AI chips for rapid discrimination.
[0042] The positioning and detection process management module includes: a GNSS spatial positioning module for embedding a GNSS module to detect geographical location and timestamp records, and supporting the automatic addition of location information in data reporting for pollution maps or equipment source tracing; a guidance and interactive process prompt module for configuring an audio-visual + graphic guidance mechanism to prompt the vehicle driver / operator to complete the detection action, including status confirmation, speed matching prompts, and fault alarm functions; a detection record archiving module for automatically recording the time, location, vehicle information, and pollutant data of each detection, and supporting one-click export of PDF reports or uploading to the regulatory platform; a vehicle information identification and binding module for optional RFID, QR code, or camera recognition to bind vehicle identity, corresponding one-to-one with emission data to improve data credibility; and a multi-terminal task management and synchronization module for supporting remote task scheduling, real-time push of detection data to the cloud platform, and optional App for viewing detection records, remotely monitoring status, and receiving early warnings.
[0043] The spectral recognition module identifies the core polluting gases using optical technology, providing gas concentration identification results for the electrochemical cross-array module; the electrochemical cross-array module provides accurate particulate matter concentration data for the particulate matter light blocking module by adjusting sampling sensitivity and dynamic interference processing; the particulate matter light blocking module acquires particulate matter concentration data using laser sensor technology, providing real-time particulate matter information for the hydrodynamic sampling module; and the hydrodynamic sampling module provides necessary environmental data support for the conditional environmental perception integration module by diluting and sampling the emitted gases and controlling their flow.
[0044] The engine speed acquisition module collects engine speed data in real time using various speed acquisition technologies, providing key speed information for the exhaust mass calculation module. The real-time flow estimation module provides exhaust flow data support for the exhaust mass calculation module through temperature, pressure, and flow calculations. The exhaust mass calculation module calculates pollutant emissions based on concentration and flow rate, providing emission mass data for the fuel characteristic inference module. The fuel characteristic inference module analyzes the ratio of CO and CO2 concentrations and fuel type, providing fuel characteristic-related data for the humidity simulation correction module. The humidity simulation correction module estimates the humidity correction coefficient, providing humidity-corrected emission data for the embedded real-time control processing core module.
[0045] The embedded real-time control and processing core module performs real-time task scheduling through ARM+FreeRTOS, providing real-time detection data display for the graphical human-machine interaction module; the graphical human-machine interaction module displays pollutant concentration and emission quality through an LCD screen, providing a data exchange interface for the communication bridging module; the communication bridging module provides emission data output in a unified format for the modular data abstraction module by supporting multiple communication methods;
[0046] The GNSS spatial positioning module provides accurate detection location information to the guidance and interaction process prompting module by recording geographical location and timestamp information; the guidance and interaction process prompting module interacts with the operator through audio and visual prompts, providing vehicle identification information during the detection process to the vehicle information identification and binding module; the vehicle information identification and binding module provides vehicle identity binding and detection data recording to the multi-terminal task management and synchronization module through RFID or QR code technology; and the multi-terminal task management and synchronization module provides real-time data uploading and early warning information to the detection record archiving module through remote push and monitoring functions.
[0047] In this embodiment, the operator can connect one end of the exhaust pipe 4 to the exhaust pipe of the vehicle to be analyzed, and then start the vehicle and simultaneously start the working motor 5. The working motor 5 will drive the fan 3, allowing the exhaust pipe 4 to transfer the vehicle exhaust gas through the fan 3 to the analyzer 2 for analysis. This system, by integrating multiple sensors and intelligent algorithms, achieves accurate real-time monitoring and analysis of vehicle exhaust emissions. Employing a multi-source pollutant sensing module, and utilizing technologies such as NDIR, ultraviolet-visible absorption, and electrochemical sensors, it can accurately collect concentration data of pollutants such as CO, CO2, HC, NO, and NO2. The system predicts pollutant emissions through a dynamic model. The system analyzes emissions behavior and adjusts for environmental parameters such as temperature, humidity, and atmospheric pressure to ensure data accuracy. Utilizing V-cone flow meters and other sensors, it can also calculate emission flow and pollutant emission quality in real time. The data edge intelligent processing module uses embedded ARM+FreeRTOS technology to quickly process the collected data and supports displaying detection results through a graphical interface, facilitating timely operator response. The positioning and detection process management module, combined with GNSS positioning, ensures accurate traceability and data archiving of the detection process. The system achieves efficient and accurate emission monitoring, providing reliable data support for environmental protection while improving detection efficiency and accuracy, effectively solving the problems in traditional motor vehicle emission detection.
[0048] The system design is divided into three parts: sensor information, data processing, and data upload / interaction. The sensor information part includes vehicle login information, gas concentration sensor data, engine speed adapter (or OBD diagnostic tool) data, particulate matter data, opacity data, light absorption coefficient data, V-cone flow meter data, GNSS location information, environmental parameters, and LCD data. These basic sensors are used for subsequent data analysis. The data processing part analyzes V-cone flow data, pollutant concentration data, particulate matter concentration data, opacity data, light absorption coefficient data, location information data, engine speed data, environmental parameters, pollutant concentration analysis and display, exhaust flow calculation, pollutant emission calculation, real-time data upload, and emission quality display. It collects data, analyzes data, processes data to extract the required pollutant concentration and quality data, and monitors environmental parameters and location information in real time. The data upload / interaction part includes real-time data upload, PC server data interaction, and real-time data display.
[0049] Specifically: After the system is running, it first initializes the V-cone tube temperature and differential pressure sensors to ensure accurate temperature and pressure values. After initialization, the system enters data acquisition, collects the exhaust pipe temperature and pressure in real time, calculates the operating flow rate in real time through the V-cone flow meter, and calculates the standard flow rate based on the exhaust pipe temperature and pressure information. The calculated standard flow rate is then submitted to other modules of the system in real time.
[0050] The gas acquisition process system first initializes the BE150 optical platform, nitrogen dioxide sensor, and equipment gas path related control system. After initialization, the system preheats the optical platform and nitrogen dioxide sensor. After preheating, data acquisition begins. After data acquisition, the system parses the data and submits the parsed pollutant concentration data to other modules of the system for use.
[0051] The data integration and processing PC interaction flowchart is as follows: The system first initializes, and after initialization, it calls up data on pollutant concentration, standard flow rate, particulate matter, opacity, and light absorption coefficient. The system performs real-time pollutant mass calculation based on pollutant concentration, pollutant volumetric mass parameters, and standard flow rate, and performs integral calculation on the pollutant mass. Real-time data and cumulative pollutant mass are displayed on the LCD. The detection results are submitted to the PC server in real time. The system has GNSS location information acquisition function and monitors environmental parameters in real time, providing environmental reference for the detection results.
[0052] Before testing, confirm whether the vehicle's OBD interface is available. If it is not available, do not extract vehicle emission and engine speed information through the OBD diagnostic tool. If the OBD interface is available, the system directly extracts engine speed information through the OBD diagnostic tool and no longer parses the speed data in the analyzer's data frame.
[0053] Working principle:
[0054] like Figure 1-5 As shown, this vehicle emission analysis system uses a series of integrated sensors and intelligent algorithms to monitor and analyze vehicle emission data in real time, ensuring compliance with environmental standards. Operators can connect one end of the exhaust pipe 4 to the exhaust pipe of the vehicle to be analyzed, start the vehicle, and simultaneously start the working motor 5. The working motor 5 will drive the fan 3, allowing the exhaust pipe 4 to transfer the vehicle exhaust gas through the fan 3 to the analyzer 2 for analysis. The system utilizes a multi-source pollutant sensing module to accurately detect key pollutants (such as CO, CO2, HC, NO, NO2, etc.) in the vehicle exhaust gas. This module combines NDIR, ultraviolet-visible absorption, and electrochemical sensor technologies to collect gas concentration data in real time. Simultaneously, it detects particulate matter concentration in the exhaust gas through a particulate matter light blocking module. The system also controls gas sampling through a dynamic fan and flow control structure to ensure sample accuracy. Furthermore, it corrects the data using environmental parameters such as temperature, humidity, and atmospheric pressure to ensure high precision of the monitoring results.
[0055] With the support of the intelligent emission behavior modeling module, the system uses speed acquisition technology, flow estimation methods, and exhaust mass calculation module to predict and calculate exhaust gas emissions in real time. By using V-cone flow meters and ultrasonic flow meters, combined with temperature and pressure data, the system can calculate operating flow rate and standard flow rate, and calculate the emission mass of pollutants based on these. The system also uses the fuel characteristic inference module to infer fuel type and dilution coefficient based on the CO and CO2 concentration ratio, further improving the accuracy of emission measurement and dynamic response capability.
[0056] The data edge intelligent processing and decision-making module undertakes the key functions of data processing and transmission. It employs ARM+FreeRTOS technology for real-time task scheduling, ensuring rapid processing and analysis of data from various sensors. Detection results are displayed in real-time through a graphical interface, allowing operators to intuitively understand pollutant concentrations and emission quality. The system also integrates GNSS positioning functionality, ensuring accurate traceability of the detection process by recording detection location and time. All detection data is uploaded to the cloud platform via a wireless communication module, achieving data synchronization and remote monitoring, improving detection efficiency and accuracy, and facilitating subsequent data analysis and management.
[0057] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
[0058] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0059] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values of the components and steps described in these embodiments do not limit the scope of this application. It should also be understood that, for ease of description, the dimensions of the various parts shown in the drawings are not drawn to actual scale. Techniques, methods, and devices known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and devices should be considered part of the specification. In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters in the following drawings denote similar items; therefore, once an item is defined in one drawing, it need not be further discussed in subsequent drawings.
Claims
1. A motor vehicle emission analysis device, characterized in that, include: A trolley (1) is provided with an analytical instrument (2). A fan (3) is provided at one end of the analytical instrument (2). An exhaust pipe (4) is provided on one side of the fan (3). A working motor (5) is provided on the side of the fan (3) away from the exhaust pipe (4). The analytical instrument (2) is mounted on the trolley (1), one end of the fan (3) is connected to the analytical instrument (2), one end of the exhaust pipe (4) is connected to one side of the fan (3), the working motor (5) is fixed on the trolley (1), and one end of the working motor (5) is connected to the fan (3).
2. A motor vehicle emission analysis system, characterized in that, It includes a multi-source pollutant sensing module for real-time monitoring and sensing of pollutant data from different sources; an emission behavior intelligent modeling module for predicting pollutant emissions by constructing dynamic models of emission source behavior through intelligent algorithms; a data edge intelligent processing decision module for intelligent processing at the data acquisition end to optimize data decision-making and response speed; and a location detection process management module for accurately locating pollution sources and managing related detection processes and data records.
3. The motor vehicle emission analysis system according to claim 2, characterized in that, The multi-source pollutant sensing module includes a spectral identification module for identifying core pollutant gases such as CO, CO2, HC, NO, and NO2 using NDIR and UV-Vis absorption methods; an electrochemical cross-array module for simultaneously detecting and identifying cross-interference of multiple gases and dynamically adjusting sampling sensitivity using an electrochemical array sensor deployment strategy; a particulate matter light blocking module for simultaneously acquiring particulate matter concentration, opacity, and light absorption coefficient using a laser transmission imaging sensor array combined with a scattering model; a fluid dynamic sampling module for achieving dilution sampling, constant temperature flow control, and backflushing self-cleaning by equipping a sampling probe, dynamic fan, and flow control structure; and a conditional environmental sensing integration module for integrating environmental monitoring nodes for temperature, humidity, atmospheric pressure, wind speed, and dew point.
4. The motor vehicle emission analysis system according to claim 2, characterized in that, The intelligent emission behavior modeling module includes: a speed behavior acquisition module for automatically switching measurement methods on demand using a combination of multiple speed acquisition technologies such as acoustic waves, magnetoelectric, and photoelectric; a real-time flow estimation module for collecting raw data using the V-cone pressure difference method or ultrasonic flowmeter and calculating operating flow rate and standard flow rate in real time with temperature / pressure; an exhaust mass calculation module for real-time execution (mass = concentration × flow rate) supporting multiple modes such as emission mass per unit time, specific emission, and concentration correction (humidity, dilution); a fuel characteristic reasoning module for inferring fuel type and dilution coefficient from the CO and CO2 concentration ratio plus a known α coefficient, supporting dynamic switching between gasoline, natural gas, and LPG; and a humidity correction coefficient for estimating water vapor partial pressure and absolute humidity in the air using temperature and humidity parameters. A humidity simulation correction module that performs NO measurement correction.
5. A motor vehicle emission analysis system according to claim 2, characterized in that, The data edge intelligent processing decision module includes an embedded real-time control processing core module for task scheduling using ARM+FreeRTOS, collecting and parsing all sensor data sampling rhythm control, data synchronization, and communication status management; a concentration integration engine correction module for real-time execution of dilution correction, humidity correction, and data integration per unit time to generate cumulative emission quality and statistical data; a graphical human-machine interaction module for displaying detection status, current pollutant concentration, and emission quality on a 6-inch LCD screen, with parameter configuration and process control via physical buttons / WIFI; a communication bridging module providing USB, RS232, RS485, wired / WIFI / Bluetooth communication interfaces to support synchronous communication with PCs, mobile devices, and servers, with optional MQTT, Modbus, and TCP / IP; and a modular data abstraction module for encapsulating different types of data into a standard frame format for unified parsing, processing, and display, suitable for future system expansion or embedding edge AI chips for rapid discrimination.
6. A motor vehicle emission analysis system according to claim 2, characterized in that, The positioning and detection process management module includes: a GNSS spatial positioning module for embedding a GNSS module to detect geographical location and timestamp records, supporting the automatic addition of location information in data reporting for pollution maps or equipment source tracing; a guidance and interactive process prompt module for configuring an audio-visual + graphic guidance mechanism to prompt vehicle operators to complete detection actions, including status confirmation, speed matching prompts, and fault alarm functions; a detection record archiving module for automatically recording the time, location, vehicle information, and pollutant data of each detection, supporting one-click export of PDF reports or uploading to the regulatory platform; a vehicle information identification and binding module for optional RFID, QR code, or camera recognition to bind vehicle identities, corresponding one-to-one with emission data to improve data credibility; and a multi-terminal task management and synchronization module for supporting remote task scheduling, real-time push of detection data to the cloud platform, and optional App for viewing detection records, remotely monitoring status, and receiving early warnings.
7. A motor vehicle emission analysis system according to claim 3, characterized in that, The spectral recognition module identifies the core polluting gases using optical technology, providing gas concentration identification results for the electrochemical cross-array module. The electrochemical cross-array module provides accurate particulate matter concentration data for the particulate matter light blocking module by adjusting sampling sensitivity and dynamic interference processing. The particulate matter light blocking module acquires particulate matter concentration data using laser sensor technology, providing real-time particulate matter information for the hydrodynamic sampling module. The hydrodynamic sampling module provides necessary environmental data support for the conditional environmental perception integration module by diluting and sampling the emitted gases and controlling their flow.
8. A motor vehicle emission analysis system according to claim 4, characterized in that, The engine speed behavior acquisition module collects engine speed data in real time through various speed acquisition technologies, providing key speed information for the exhaust mass calculation module; the real-time flow estimation module provides exhaust flow data support for the exhaust mass calculation module through temperature, pressure and flow calculation. The exhaust gas mass calculation module calculates pollutant emissions based on concentration and flow rate, providing emission mass data for the fuel characteristic inference module. The fuel characteristic inference module analyzes the ratio of CO and CO2 concentrations and fuel type, providing fuel characteristic-related data for the humidity simulation correction module. The humidity simulation correction module estimates the humidity correction coefficient, providing humidity-corrected emission data for the embedded real-time control processing core module.
9. A motor vehicle emission analysis system according to claim 5, characterized in that, The embedded real-time control and processing core module performs real-time task scheduling through ARM+FreeRTOS, providing real-time detection data display for the graphical human-computer interaction module; the graphical human-computer interaction module displays pollutant concentration and emission quality through an LCD screen, providing a data exchange interface for the communication bridging module. The communication bridging module provides emission data output in a unified format to the modular data abstraction module by supporting multiple communication methods.
10. A motor vehicle emission analysis system according to claim 6, characterized in that, The GNSS spatial positioning module provides accurate detection location information to the guidance and interaction process prompting module by recording geographical location and timestamp information; the guidance and interaction process prompting module interacts with the operator through audio and visual prompts, providing vehicle identification information during the detection process to the vehicle information identification and binding module; the vehicle information identification and binding module provides vehicle identity binding and detection data recording to the multi-terminal task management and synchronization module through RFID or QR code technology; and the multi-terminal task management and synchronization module provides real-time data uploading and early warning information to the detection record archiving module through remote push and monitoring functions.