Synchronous intelligent collection device for particulate matters with multiple particle sizes

Abstract

The invention discloses a synchronous intelligent collection device for particulate matters with multiple particle sizes, and relates to the technical field of sampling devices. Comprising a sampling port, an air inlet pipe, an air inlet branch pipe, a flow controller, a Teflon hose, a cyclone cutter, a membrane support, a multi-way pipe, a vacuum air pump, an air outlet pipe and a PC control module. The device realizes synchronous collection of particulate matters with different particle sizes through a multi-channel structure, and all channels are provided with independent flow control and cyclone cutting systems, so that the separation and collection accuracy of the particulate matters with different particle sizes is ensured. The device is compact in structure, convenient to move and install and wide in application range, and sampling parameters and data can be automatically recorded and exported in real time. The problems that a traditional particulate matter collection process is tedious, efficiency is low, and data synchronization is difficult are solved, and the automation and intelligence level of particulate matter collection is improved.

Description

Technical Field

[0001] This invention relates to the field of sampling device technology, specifically to a multi-size particle synchronous intelligent sampling device. Background Technology

[0002] To reduce the impact of particulate matter on the atmospheric environment and human health, it is crucial to test and study particulate matter emissions from different pollution sources. This not only helps us understand and assess the extent of particulate matter's impact on the atmospheric environment, but also provides technical support for relevant departments to formulate control policies, thus possessing significant social benefits and important scientific significance.

[0003] However, there are currently relatively few sampling methods for particulate matter from different sources. For example, exhaust gas particulate matter is typically sampled using a continuous volumetric sampling (CVS) pipeline filter membrane for analysis. Sampling methods for non-exhaust gas particulate matter are also not yet standardized or well-developed, and common particulate samplers can only sample particles within a single size range. This not only limits the simultaneous sampling of particles with multiple sizes but also results in low sampling efficiency and a cumbersome sampling process, further impacting the experimental process and subsequent physicochemical analysis.

[0004] Therefore, there is an urgent need to research and improve sampling methods and collection devices for particulate matter emissions from different sources. This would better enable the simultaneous sampling of particulate matter of multiple sizes, improve sampling efficiency, expand application scenarios, simplify the sampling process, and thus more accurately assess the impact of particulate matter on the atmospheric environment. Summary of the Invention

[0005] The purpose of this invention is to provide a multi-size particle synchronous intelligent collection device, which has the advantages of being able to collect particles of different sizes simultaneously, intelligently controlling the collection time, convenient system integration and portability, and wide applicability, so as to solve the shortcomings of existing particle collection devices.

[0006] The technical solution of the multi-size particle synchronous intelligent acquisition device of the present invention is as follows: The device includes: a sampling port, an air inlet pipe, air inlet branch pipes, a flow controller, a Teflon hose, a cyclone cutter, a membrane holder, a multi-port pipe, a vacuum pump, an exhaust pipe, and a PC control module. The sampling port is funnel-shaped and located behind the tire being tested, facing the contact point between the tire and the road surface or the rotating drum of the experimental chamber. The other end of the sampling port is away from the tire being tested and connected to the air inlet pipe via a thread. The end of the air inlet pipe is divided into at least two air inlet branch pipes, the ends of which are connected to the flow controller. The flow controller is connected to the cyclone cutter via a Teflon hose. The lower end of the cyclone cutter is connected to the membrane holder. The membrane holder is connected to the vacuum pump via a multi-port pipe. The rear end of the vacuum pump exhausts air through the exhaust pipe. The PC control module is used for data acquisition and export, realizing the synchronous integrated acquisition of multi-size particulate matter.

[0007] In one embodiment, the sampling port can be resized according to the size and model of the tire to be tested to meet different sampling requirements. One end of the sampling port is connected to the air intake pipe via a thread, and an external pipe can be connected to the sampling port to adapt to the needs of long sampling distances or special spatial arrangements, ensuring the flexible driving and compatibility of the device in different scenarios.

[0008] In one scheme, the end of the air inlet pipe can be branched into two to four air inlet branches according to sampling requirements. Each air inlet branch corresponds to a flow controller, Teflon hose, cyclone cutter and membrane holder. Multiple sampling circuits are connected to a vacuum pump after being merged through the same multi-port pipe, thereby realizing the synchronous and timed collection of at least four different particle sizes of PM1, PM2.5, PM10 and TSP.

[0009] In one embodiment, the flow controller and the cyclone cutter are connected by a black, high-temperature and corrosion-resistant Teflon flexible hose. The Teflon hose effectively prevents particulate matter from reacting chemically with the pipe material during transportation, while meeting the requirements for long-term safe operation of the system under high-temperature sampling conditions and maintaining the original chemical properties of the sampled particulate matter.

[0010] In one scheme, the filter membrane holder has a diameter of 47mm, is connected to the lower end of the cyclone cutter, and is connected to the multi-port pipe. The number and specifications of the membrane holders correspond to the number of air inlet branch pipes, ensuring that all parallel sampling loops can independently collect particles of their respective required particle sizes. After sampling, the filter membrane is easy to weigh, analyze chemical composition and physical morphology.

[0011] In one embodiment, the PC control module can be connected to an external computer to set sampling parameters, and can also insert and remove memory cards to record sampling data. It has automatic data storage, timed export, and abnormal alarm functions to ensure accurate recording and comprehensive management of multi-channel flow, sampling time, temperature and humidity parameters, thereby improving the intelligence and convenience of the sampling process.

[0012] In one design, the overall structure of the metal-painted housing is equipped with a hand rest, foot pads, a door, a latch, a touch display, a rechargeable power supply, and a charging cable. The hand rests are located on both sides of the center of the device for easy manual handling and movement. The foot pads ensure that the device is placed stably and securely. The door and latch facilitate internal maintenance and security. The touch display is used to view and adjust relevant parameters in real time. The rechargeable power supply and charging cable provide portable power supply, adapting to different indoor and outdoor sampling scenarios.

[0013] In one embodiment, the intake pipe can be connected to the vehicle exhaust pipe via a customized pipeline according to the sampling source requirements, enabling simultaneous collection of non-exhaust gas and exhaust gas particles of various sizes from the vehicle. Alternatively, it can be extended via an external pipeline to connect to other special target sampling points, thereby enhancing the device's adaptability to different particulate matter sources and achieving integrated fixed-point sampling and multi-scenario applications.

[0014] In one embodiment, the device can integrate a dynamic flow regulation and control algorithm. By collecting on-site temperature, humidity, atmospheric pressure, and flow environment parameters in real time through sensors, and based on the flow change trend in the sampling channel and historical calibration data, the set value of each flow controller is dynamically adjusted to achieve adaptive balance and optimal efficiency allocation of each particle size sampling channel.

[0015] In one embodiment, the device embeds an abnormal particulate source identification and detection algorithm. By combining the collected particulate matter concentration data with the time-series change patterns of multiple channels and abnormal flow fluctuations, clustering and anomaly detection technologies are used to automatically identify atypical particulate matter change signals caused by external emergencies during the sampling process.

[0016] Beneficial effects of this invention: The multi-size particulate matter synchronous intelligent acquisition device of this invention enables simultaneous and integrated acquisition of particulate matter samples of various sizes. This not only simplifies the complex operational procedures resulting from parallel sampling with multiple acquisition devices, but also significantly improves acquisition efficiency and sample representativeness. The device features a compact and rational structural design, with a small and lightweight overall size, making it easy to carry and deploy on-site. It can flexibly adapt to various application scenarios such as on-site vehicle testing, road testing, and laboratory rotary drum sampling. Components such as the sampling port, air inlet pipe, and air inlet branch pipe can be replaced and expanded according to actual needs, effectively meeting the requirements of different tire models and varying sampling distances.

[0017] Each particle size channel is independently equipped with a cyclone cutter, Teflon tubing, and a flow controller, ensuring efficient separation and accurate collection of particles of different sizes. The Teflon tubing also possesses high-temperature and corrosion-resistant properties, ensuring the authenticity and reliability of the samples during the sampling process. The equipped PC control module can record, manage, and export various parameter data in real time, realizing the informatization and intelligentization of the sampling process and significantly improving data traceability. The outer casing includes a hand rest, feet, a door, and a portable power supply, making the device easy to move while providing excellent human-machine interaction and safety. In summary, this invention not only effectively improves the accuracy, convenience, and reliability of multi-size particle collection but also has strong practicality and widespread application value. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the internal structure of the multi-size particle synchronous intelligent acquisition device of the present invention; Figure 2 for Figure 1 A schematic diagram of the external structure of a multi-size particle synchronous intelligent acquisition device. Figure 3 for Figure 1 Schematic diagram of a multi-port pipe structure that meets different requirements; Figure 4 for Figure 1 A diagram of the operation page of the multi-size particle synchronous intelligent acquisition device; Figure 5 This is a schematic diagram of the sampling process of the multi-size particle synchronous intelligent acquisition device of the present invention.

[0019] In the figure: 1. A multi-size particle synchronous intelligent collection device; 11. Metal painted shell; 12. Hand rest; 13. Foot pad; 14. Box door; 15. Lock; 16. Touch screen; 17. Rechargeable power supply; 18. Charging cable; 2. Sampling port; 3. Air inlet pipe; 31. Air inlet branch pipe; 4. Flow controller; 41. Teflon flexible hose; 5. Cyclone cutter; 6. Membrane holder; 7. Multi-port pipe; 8. Vacuum pump; 9. Air outlet pipe; 10. PC control module. Detailed Implementation

[0020] Embodiment 1 of the present invention: a multi-size particle synchronous intelligent acquisition device. In this embodiment, non-exhaust particulate matter from motor vehicle tires is used as the target sample for sampling. The main components include a sampling port, a flow controller, a cyclone cutter, a membrane holder, and a flow vacuum pump. The flow controller can be adjusted to change the flow rate of the sampling tube, thereby controlling the particle size cut by the cyclone cutter and enabling sampling of particulate matter of different sizes. Timed sampling can be set via a PC module to achieve quality control and result assurance of the sampling results.

[0021] Specifically, such as Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 As shown, a multi-size particulate matter synchronous intelligent collection device enables integrated synchronous collection of particulate matter of various sizes. It features a simple and lightweight structure, easy deployment, and versatility in sampling scenarios. In particular, it can be configured for vehicle-mounted and laboratory rotary drum sampling of particulate matter emissions. After fixing the multi-size particulate matter synchronous intelligent collection device 1 and sampling port 2, it can simultaneously collect particulate matter of various sizes.

[0022] A multi-size particle synchronous intelligent collection device 1 has an internal structure including a sampling port 2, an air inlet pipe 3, an air inlet branch pipe 31, a flow controller 4, a Teflon hose 41, a cyclone cutter 5, a membrane holder 6, a multi-port pipe 7, a vacuum pump 8, an air outlet pipe 9, and a PC control module 10.

[0023] Sampling port 2 is funnel-shaped and located behind the tire being tested. Sampling port 2 faces the contact point between the tire being tested and the road surface / test chamber drum. The other end of sampling port 2 is away from the tire being tested and is connected to one end of the air intake pipe 3 by a thread. The size of sampling port 2 can be changed according to the size and model of the tire being tested to meet the sampling requirements. The air intake pipe 3 can be connected to an external pipe to the sampling port 2 to meet the requirements of excessive sampling distance.

[0024] The end of the air inlet pipe 3 can be branched into 2 or 3 air inlet branches 31 according to the sampling requirements. The ends of the air inlet branches 31 are connected to the corresponding number of flow controllers 4, so as to control the air inlet flow of different branches and meet the particulate matter sampling requirements of different needs.

[0025] The flow controller 4 is connected to the cyclone separator 5 with a Teflon hose 41. The cyclone separator 5 is connected downward to the filter membrane holder 6. The Teflon hose 41 is a black tube that is corrosion-resistant and high-temperature resistant. In this example, the filter membrane holder has a diameter of 47mm to meet the sampling requirements.

[0026] The filter membrane holder 6 is connected to the vacuum pump 8 by a multi-port pipe 7. The rear end of the vacuum pump 8 is connected to the air outlet pipe 9. The outlet of the air outlet pipe 9 is placed outside the metal painted shell 11 to facilitate the flow of gas.

[0027] The PC control module 10 can be connected to an external computer and has a memory card inserted, facilitating data recording and export.

[0028] A multi-size particle synchronous intelligent collection device 1 includes a metal painted shell 11, a hand rest 12, foot pads 13, a door 14, a latch 15, a touch screen 16, a rechargeable power supply 17, and a charging cable 18.

[0029] Hand rests 12 are positioned at the center of both sides of the portable particulate matter sampling device 1 for easy manual movement. Four feet, made of soft plastic, are placed at the four corners of the bottom of the portable particulate matter sampling device 1 to ensure stable placement. The door 14 is installed at the rear of the device. One side of the door 14 is connected to the device housing by a pivot, and the other side is equipped with a latch 15 for easy opening, closing, and locking. The purpose of the door 14 is to facilitate filter membrane replacement and device maintenance.

[0030] The touch screen 16 is connected to the PC control module 10 and the flow controller 4. The touch screen 16 is equipped with different touch buttons, including setting duration, flow setting, flow clearing, and sampling record. The setting duration, flow setting, and flow clearing are for easy touch control of the flow controller 4 and vacuum pump 8 via the PC control module 10. The sampling record allows users to query past sampling data records to prevent data loss.

[0031] The rechargeable power supply 17 is located in one corner of the instrument, and all electrical components are connected to it. Its charging interface is located in the metal painted shell 11 with an opening, so as to connect to the charging cable 18 for charging. The rechargeable power supply 17 is equipped with a switch, so that no wiring is required when sampling for a short time, and external power is used when sampling for a long time, so as to achieve the purpose of integrated and lightweight device.

[0032] After the multi-size particle synchronous intelligent collection device 1 and sampling port 2 are fixed, the door 14 is opened by the latch 15, the filter membrane holder 6 is opened, and the filter membrane is replaced with tweezers. After the filter membrane is replaced and the internal inspection is completed, the door 14 is closed. Then, the PC control module 10 is controlled by the touch screen 16 to set the flow controller 4 and vacuum pump 8, and the sampling time is set. The device is turned on and the device is running. The flow rate of each sampling branch pipe 31 reaches the cutting size requirement of the cyclone separator 5 to carry out sampling. Tire wear particles will first enter the sampling pipe 3 through the sampling port 2, and then enter the sampling branch pipe 31 and enter the cyclone cutter 5. They are then cut into particles of different sizes that meet the sampling requirements and captured on the filter membrane in the filter membrane holder 6, thus completing the sampling process.

[0033] Based on the aforementioned design of a multi-size particle synchronous intelligent acquisition device, to improve the level of sampling intelligence and data accuracy, a dynamic flow regulation control algorithm and an abnormal particle source identification and detection algorithm are integrated into the device's PC control module 10. This module, as the core data processing and control unit of the device, is responsible not only for receiving multiple input signals from the flow controller 4, flow sensor, and environmental sensor, but also for the real-time operation and feedback output of the algorithms. The dynamic flow regulation control algorithm collects the actual flow rate of each channel in the intake pipe, as well as environmental parameters such as temperature, humidity, and air pressure. After analysis and calculation within the PC control module 10, it can immediately issue adjustment commands to the corresponding flow controller 4, achieving precise adaptive control of the sampling flow rate for each channel, thereby ensuring the sampling efficiency and data consistency of different particle size channels. Furthermore, the abnormal particle source identification and detection algorithm is also integrated with the aforementioned data stream in the PC control module 10. Utilizing the multi-channel collected particle concentration time-series data, it performs real-time clustering and anomaly detection of flow rate changes and atypical signals between channels. When the system detects a sampling anomaly caused by an external emergency, the PC control module 10 automatically records the data for the corresponding time period or channel. Simultaneously, alarm notifications and data tracing can be achieved via the built-in touchscreen display 16 or by connecting to an external computer. All analysis, control, and interaction processes are centralized in the PC control module 10. Users can also set algorithm parameters via the touchscreen display and easily export sampling data including anomaly markers. This integrated approach makes the algorithm the central hub for intelligent control and data identification of the acquisition device, effectively maintaining the simplicity of the device structure while significantly improving the device's adaptability to complex usage scenarios and variable conditions, as well as its data scientific rigor.

[0034] First, to adapt to complex and ever-changing sampling environments, the device integrates a dynamic flow regulation and control algorithm. This algorithm collects environmental parameters such as temperature, humidity, atmospheric pressure, and flow rate in real time through sensors. Based on the flow rate change trend within the sampling channels and historical calibration data, it dynamically adjusts the setpoints of each flow controller 4, achieving adaptive balance and optimal efficiency allocation for each particle size sampling channel. This algorithm not only avoids flow rate deviations and data errors caused by environmental changes but also ensures the representativeness and accuracy of multi-size particle sampling under any operating conditions.

[0035] To adapt to complex and ever-changing sampling environments, the device can integrate a dynamic flow regulation and control algorithm. In its implementation, this algorithm uses the PC control module 10 as the core computing unit, collecting real-time data from flow sensors across all channels of the device, as well as temperature, humidity, and atmospheric pressure information from environmental sensors. All data is input to the algorithm computing module at fixed intervals, forming a multi-channel, multi-parameter time-series dataset. After sampling begins, the PC control module 10 first loads the standard setpoints for each flow controller 4. Based on historical calibration parameters, the algorithm makes initial corrections to the current environmental conditions. Subsequently, the algorithm constructs the following flow compensation formula: for each sampling channel i, the flow error is calculated in real time. in, This represents the actual traffic volume collected at time t.

[0036] At the same time, environmental factors affecting air density ( The algorithm incorporates the ideal gas law to correct the flow rate setting, taking into account the influence of the flow rate. in, and Atmospheric pressure and temperature under standard conditions. and The pressure and temperature data are collected for the current environment.

[0037] This control logic can be further improved with a PID (proportional-integral-derivative) control algorithm to enhance steady-state response performance and address the aforementioned real-time flow error. Dynamic feedback adjustment is performed, and the specific control output is as follows: in, , and These are the proportional, integral, and derivative coefficients, respectively. Finally, the compensated adjustment amount... The data interface between the PC control module 10 and the flow controller 4 is linked to issue dynamic adjustment commands, thereby achieving adaptive tracking and precise control of each sampled flow.

[0038] In actual device operation, the algorithm continuously cycles through the aforementioned acquisition-correction-feedback process, constantly optimizing parameter settings using historical calibration data. This ensures that even under sudden changes in external conditions such as temperature, humidity, or air pressure, the flow rate of each particle size sampling channel remains stable at the target setting, avoiding particulate matter acquisition errors caused by flow drift and fluctuations. This innovative design effectively guarantees the representativeness, consistency, and scientific validity of the final sampling data, significantly enhancing the practical value of this device in complex application scenarios such as urban roads and motor vehicle pollution.

[0039] To enhance particulate matter source apportionment capabilities, an abnormal particulate matter source identification and detection algorithm is embedded. This algorithm combines collected particulate matter concentration data with multi-channel temporal variation patterns and abnormal flow fluctuations. Utilizing clustering and anomaly detection techniques, it automatically identifies atypical particulate matter change signals caused by external emergencies (such as instantaneous vehicle acceleration, human intervention, or sudden pollution sources) during the sampling process. Furthermore, this algorithm can be linked to the PC control module 10 to mark or alert on suspected abnormal sampling data, enabling source tracing analysis and intelligent filtering of abnormal particulate matter sources, thereby improving data quality and source tracing capabilities.

[0040] In terms of improving the ability to trace the source and identify anomalies in multi-size particulate matter data, this device innovatively incorporates an abnormal particle source identification and detection algorithm based on adaptive multi-resolution spectral entropy analysis and channel collaborative dynamic modeling.

[0041] Specifically, the PC control module 10 first processes the time-series particulate matter concentration data streams from all sampling channels. Multi-scale decomposition (such as cepstral or wavelet subband decomposition) is performed to obtain multi-resolution time-frequency features for each channel and the entire channel combined. For each time step and each analysis scale, the system calculates the normalized spectral entropy within the sampling window T. : in, The energy percentage of channel i in the j-th frequency band within the analysis window T. Spectral entropy, as a sensitive indicator of signal complexity and suddenness, can effectively capture non-stationary signals with increased short-term high-frequency components caused by external pollution sources (such as sudden vehicle braking, construction dust, etc.).

[0042] The system not only monitors fluctuations in a single channel, but also performs collaborative comparisons of multi-channel signal distributions within the spectral entropy space, establishing in real-time a "normal spectral entropy frame" (background library) for multi-particle-size signals under normal conditions. If, at a certain moment, the spectral entropy of multiple channels simultaneously deviates from its historical background mean... If the value exceeds an adaptive threshold (which is adjusted based on the environmental background variance and the nearest window self-learning), it is initially classified as an anomaly. This collaborative criterion is: in For indicator functions, For each channel, an adaptive abnormal sensitivity coefficient is set. This represents the minimum number of channels required to trigger the threshold. It is worth emphasizing that this algorithm supports efficient inter-channel collaboration and adaptive environment learning, and can effectively distinguish between internal disturbances (such as flow errors) and external real sources (such as human interference or sudden pollution).

[0043] To further enhance the scientific rigor of the identification, the device also incorporates the fine rate of change of flow (Delta Q_i(t)) and the synchronous short-time energy analysis results from external environmental sensors (such as vibration and noise) as auxiliary criteria. Specifically, only when the spectral entropy significantly increases, and if the flow rate and environmental signals also exhibit abnormal superposition, is that moment ultimately identified as an "atypical particulate matter anomaly source." All data identified as anomalous is directly characterized by the PC control module 10 and displayed instantly on the touchscreen, facilitating source tracing and decision-making by the operator and greatly enhancing the traceability value and scientific validity of the data.

[0044] This algorithm innovatively integrates multi-resolution spectral information, collaborative dynamic background modeling, and multi-parameter short-time decision thresholds. It combines adaptability, real-time performance, and compatibility with different scenarios. Compared with conventional clustering or univariate statistics, it is more suitable for identifying multi-size particulate matter anomalies in real-world complex environments, providing a solid data foundation for real-time control and source tracing of subsequent pollution events.

[0045] Through the innovative integration of the above-mentioned dynamic flow regulation and abnormal particulate source identification algorithm, the device not only enhances its adaptability to complex on-site conditions, but also improves the reliability and scientific validity of the sampling results, greatly expanding its application value and technological leadership in diverse sampling scenarios such as motor vehicle particulate matter, urban roads, and laboratory research.

[0046] Embodiment 2 of a multi-size particle synchronous intelligent acquisition device of the present invention: This embodiment uses non-exhaust particulate matter from motor vehicle tires as the target sample for sampling. It provides a sampling pipeline setup with a different particle size than in Embodiment 1. In this embodiment, one less cyclone cutter 5 can be installed, and the Teflon flexible tube is directly connected to the membrane holder. The rest remains unchanged. At this time, the multi-port tube 7 has a dual-port structure, which can simultaneously and periodically collect total suspended particulate matter (TSP) and other particulate matter of different sizes.

[0047] Embodiment 3 of a multi-size particle synchronous intelligent acquisition device of the present invention: This embodiment uses non-exhaust particulate matter from motor vehicle tires as the target sample for sampling. It provides a different sampling pipeline configuration compared to Embodiment 1. In this embodiment, the sampling branch pipe 31, flow controller 4, Teflon flexible hose 41, cyclone cutter 5, and membrane support 6 are all configured in triplets of three. The multi-port pipe 7 is configured as a three-way connector, allowing for simultaneous, timed collection of three types of particulate matter, such as PM1, PM2.5 ... 2.5 PM 10 Particles with different size requirements.

[0048] Example 4 of a multi-size particle synchronous intelligent acquisition device of the present invention: This embodiment uses non-exhaust particulate matter from motor vehicle tires as the target sample for sampling. It provides a different configuration for the number of particle size sampling pipes compared to Embodiment 1. In this embodiment, there are three sampling branch pipes 31 and three membrane holders 6, and four flow controllers 4, four Teflon hoses 41, and four cyclone cutters 5. One sampling route's Teflon hose is directly connected to the membrane holder. In this case, the multi-port pipe 7 is configured as a four-way structure, allowing for simultaneous, timed collection of four types of particulate matter, such as PM1, PM2.5, PM2.5, PM2.5, etc. 2.5 PM 10 Particles with different size requirements (TSP).

[0049] Embodiment 5 of a multi-size particle synchronous intelligent acquisition device of the present invention: This embodiment provides a particulate matter sampling setup from a different source than that in Embodiment 1. In this embodiment, non-exhaust particulate matter from motor vehicle tires is used as the target sample for sampling. The intake pipe 3 can be connected to the motor vehicle exhaust pipe through a customized pipe to achieve synchronous and timed sampling of particulate matter of multiple sizes.

[0050] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still make modifications to the technical solutions described in the foregoing embodiments without creative effort, or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-size particle synchronous intelligent collection device, characterized in that: The device includes: The system includes a sampling port, an air inlet pipe, an air inlet branch pipe, a flow controller, a Teflon hose, a cyclone cutter, a membrane support, a multi-port pipe, a vacuum pump, an exhaust pipe, and a PC control module. The sampling port is funnel-shaped and located behind the tire being tested, facing the contact point between the tire and the road surface or the rotating drum in the test chamber. The other end of the sampling port is away from the tire and connected to the air inlet pipe via a thread. The end of the air inlet pipe is divided into at least two air inlet branch pipes, the ends of which are connected to the flow controller. The flow controller is connected to the cyclone cutter via a Teflon hose. The lower end of the cyclone cutter is connected to the membrane support. The membrane support is connected to the vacuum pump via a multi-port pipe. The rear end of the vacuum pump exhausts air through the exhaust pipe. The PC control module is used for data acquisition and export, enabling simultaneous integrated acquisition of multi-size particulate matter.

2. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The sampling port can be changed to meet different sampling requirements according to the size and model of the tire to be tested. One end of the sampling port is connected to the air intake pipe by a thread. An external pipe can be connected to the sampling port to meet the needs of long sampling distance or special space arrangement, ensuring the flexible driving and compatibility of the device in different scenarios.

3. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The end of the air inlet pipe can be branched into two to four air inlet branches according to sampling needs. Each air inlet branch corresponds to a flow controller, Teflon hose, cyclone cutter and membrane holder. Multiple sampling circuits are connected to a vacuum pump after being merged through the same multi-port pipe, thereby realizing the synchronous and timed collection of at least four different particle sizes of PM1, PM2.5, PM10 and TSP.

4. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The flow controller and the cyclone cutter are connected by a black, high-temperature and corrosion-resistant Teflon flexible hose. The Teflon hose effectively prevents particulate matter from reacting chemically with the pipe material during transportation, while meeting the requirements for long-term safe operation of the system under high-temperature sampling conditions and maintaining the original chemical properties of the sampled particulate matter.

5. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The filter membrane holder has a diameter of 47mm and is connected to the lower end of the cyclone cutter and to the multi-port pipe. The number and specifications of the membrane holders correspond to the number of air inlet branch pipes, ensuring that all parallel sampling loops can independently collect particles of their respective required particle sizes. After sampling, the filter membrane is easy to weigh, analyze chemical composition and physical morphology.

6. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The PC control module can be connected to an external computer to set sampling parameters, and can also insert and remove memory cards to record sampling data. It has automatic data storage, timed export and abnormal alarm functions to ensure accurate recording and comprehensive management of multi-channel flow, sampling time, temperature and humidity parameters, and improve the intelligence and convenience of the sampling process.

7. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The metal-painted casing features a hand rest, foot pads, a door, a latch, a touch screen, a rechargeable power supply, and a charging cable. The hand rests are located on both sides of the device for easy handling and movement. The foot pads ensure the device is placed stably. The door and latch facilitate internal maintenance and security. The touch screen allows for real-time viewing and adjustment of relevant parameters. The rechargeable power supply and charging cable provide portable power, adapting to different indoor and outdoor sampling scenarios.

8. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The intake pipe can be connected to the vehicle exhaust pipe via a customized pipeline according to the sampling source requirements, so as to realize the simultaneous collection of non-exhaust gas and exhaust gas particles of multiple sizes. Alternatively, it can be extended through an external pipeline to connect to other special target sampling points, thereby improving the device's adaptability to different particulate matter sources and realizing integrated fixed-point sampling and multi-scenario applications.

9. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The device can integrate a dynamic flow regulation and control algorithm. It collects on-site temperature, humidity, atmospheric pressure and flow environment parameters in real time through sensors. Based on the flow change trend in the sampling channel and historical calibration data, it dynamically adjusts the set value of each flow controller to achieve adaptive balance and optimal efficiency allocation of each particle size sampling channel.

10. The multi-size particle synchronous intelligent acquisition device according to claim 1, characterized in that, The device incorporates an abnormal particulate source identification and detection algorithm. By combining the collected particulate matter concentration data with the time-series change patterns of multiple channels and abnormal flow fluctuations, and using clustering and anomaly detection techniques, it automatically identifies atypical particulate matter change signals caused by external emergencies during the sampling process.

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