Surge supercharger positioning method and device of engine, medium and program product

Abstract

The invention provides a surge supercharger positioning method and device of an engine, a medium and a program product, and relates to the technical field of engine detection, and the method comprises the steps: obtaining the near-field noise data of each measurement point under the current working condition; first data processing is carried out based on the near-field noise data of each measuring point, and whether surge happens to the supercharger corresponding to the measuring point or not is recognized based on a first data processing result; and generating a first positioning result based on the position of the supercharger in the engine where the surge occurs. According to the method, a vibration displacement sensor and punching are not needed, near-field noise data of each supercharger are collected in a non-contact mode, the superchargers with surge are rapidly and accurately positioned, and the reliability, accuracy, practicability and efficiency of surge positioning can be remarkably improved.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of engine detection, and in particular relates to a method, device, medium and program product for locating a surge supercharger of an engine. Background Art

[0002] An engine can typically be equipped with multiple superchargers. For example, diesel engines are typically designed with 3-10 superchargers to improve engine performance, fuel economy, and emissions. However, after product design is finalized, supercharger surge failures may occur on production benches or during actual use for various reasons. In production or market environments, due to the lack of comprehensive sensors and test environments on R&D benches, quickly determining whether surge is occurring in a specific supercharger or in a specific group of superchargers becomes a pressing issue.

[0003] In the related art, Chinese patent CN118959345A discloses a compressor surge identification method based on a single sensor. This method obtains the vibration displacement signal of the moving blade collected by the blade tip timing sensor installed on the compressor casing, determines the vibration index and surge alarm threshold of the compressor blades of the entire stage based on the vibration displacement signal of the moving blade, and determines whether the compressor is surging based on the monitoring results corresponding to the vibration index and surge alarm threshold of the compressor blades of the entire stage. However, this related art requires the addition of additional vibration displacement sensors, and drilling and testing are required during deployment. This is difficult to implement in production and market environments, and the testing cycle is long, making it impossible to quickly locate the specific supercharger experiencing surge. Summary of the Invention

[0004] The present disclosure provides a method, device, medium, and program product for locating a surge supercharger of an engine, aiming to at least to some extent resolve the technical problem in related technologies of being unable to quickly locate a specific surge supercharger without drilling holes in the use scenario of a multi-supercharger engine.

[0005] At least one embodiment of the present disclosure provides a method for locating a surge supercharger of an engine, wherein the engine includes a plurality of superchargers, each of the plurality of superchargers serves as an independent measurement point, and the method includes:

[0006] Obtaining near-field noise data of each measuring point under current working conditions;

[0007] performing a first data processing based on the near-field noise data of each measuring point, and identifying whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result;

[0008] A first positioning result is generated based on a position of the supercharger where surge occurs in the engine.

[0009] For example, the method provided by at least one embodiment of the present disclosure further includes:

[0010] For each supercharger experiencing surge, performing a second data processing based on near-field noise data of a measuring point corresponding to the supercharger, and determining, based on a result of the second data processing, whether the supercharger corresponding to the measuring point is the surge supercharger causing engine surge; and

[0011] If the supercharger is the surge supercharger that causes engine surge, the position of the supercharger in the engine is obtained to generate a second positioning result.

[0012] For example, in the method provided by at least one embodiment of the present disclosure, the first data processing includes wavelet analysis, and the identifying whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result includes:

[0013] Obtaining a surge fault time period range that matches the engine and current operating conditions;

[0014] Obtaining the time interval between adjacent noise mutations in the near-field noise data based on the wavelet analysis result;

[0015] In response to the time interval falling within the surge fault time period range, determining that the supercharger corresponding to the measuring point has surged; and

[0016] In response to the time interval not falling within the surge fault time period range, it is determined that the supercharger corresponding to the measuring point does not surge.

[0017] For example, in the method provided by at least one embodiment of the present disclosure, a microphone sensor for collecting near-field noise data of the supercharger is installed within the measuring point area where each measuring point is located, the second data processing includes bandpass filtering, and determining whether the supercharger corresponding to the measuring point is the surge supercharger causing engine surge based on the second data processing result includes:

[0018] Obtaining the noise mutation fluctuation value and noise peak value of the measuring point within a set time based on the bandpass filtering processing result;

[0019] In response to the sudden noise fluctuation value exceeding a preset first normal fluctuation threshold and the noise peak value exceeding a preset second normal fluctuation threshold, it is determined that the supercharger is the surge supercharger causing engine surge.

[0020] For example, in the method provided by at least one embodiment of the present disclosure, the first normal fluctuation threshold and the second normal fluctuation threshold are both configured to be related to the engine model of the engine and the operating condition parameters of the current operating condition.

[0021] For example, in the method provided by at least one embodiment of the present disclosure, obtaining a surge fault time period range that matches the engine and current operating conditions includes:

[0022] Get the working condition parameters of the current working condition;

[0023] generating a surge fault time period threshold based on the engine model and the operating condition parameters of the engine;

[0024] The surge fault time period range is generated based on the surge fault time period threshold.

[0025] For example, in the method provided by at least one embodiment of the present disclosure, the engine further includes an intake system, the operating condition parameters include load changes of the engine, a blockage parameter of the intake system, a state parameter of each of the superchargers, an environmental parameter, and an engine maintenance condition parameter; and

[0026] The number of the surge fault time period threshold is one, and the surge fault time period range is configured such that the time interval is greater than the surge fault time period threshold.

[0027] For example, in the method provided by at least one embodiment of the present disclosure, an air filter is installed at the air inlet of each of the plurality of superchargers, and the microphone sensor is installed in a set near-field area of ​​the air filter or the supercharger; and

[0028] The frequency range of the bandpass filtering process is 20 to 20,000 Hz;

[0029] In the case where the second positioning result includes positions of a plurality of superchargers, the method further includes:

[0030] For each of the superchargers in the second positioning result, determining a surge severity of the supercharger based on the second data processing result, and generating a surge warning of a corresponding level for the supercharger;

[0031] Prioritizing the plurality of superchargers in the second positioning result based on the surge severity to generate a third positioning result; and

[0032] The third positioning result is transmitted to the engine monitoring system of the vehicle in real time and displayed on the alarm control screen of the engine monitoring system.

[0033] At least one embodiment of the present disclosure further provides a surge supercharger positioning device for an engine, wherein the engine includes a plurality of superchargers, each of the plurality of superchargers serves as an independent measuring point, and the device includes:

[0034] a data acquisition unit, configured to acquire near-field noise data of each of the measuring points under current working conditions;

[0035] a first data processing unit configured to perform a first data processing based on the near-field noise data of each measuring point, and identify whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result; and

[0036] The result generating unit is configured to generate a first positioning result based on a position of the supercharger where surge occurs in the engine.

[0037] At least one embodiment of the present disclosure further provides a storage medium, wherein the storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the method provided in any embodiment of the present disclosure are implemented.

[0038] At least one embodiment of the present disclosure further provides a program product, including a program or instructions, wherein when the program or instructions are executed by a processor, the steps of the method provided in any embodiment of the present disclosure are implemented.

[0039] Compared with related technologies, the engine surge supercharger positioning method, device, medium and program product provided by the embodiments of the present disclosure can significantly improve the accuracy and efficiency of surge positioning. Related technologies often require the addition of additional vibration displacement sensors, which require drilling for testing during layout, which is difficult to implement in production and market environments, and the testing cycle is long. However, the embodiments of the present disclosure can collect near-field noise data of each supercharger in a non-contact manner, thereby achieving rapid and accurate positioning of the supercharger that is surging in the engine, greatly improving the reliability and practicality of positioning. In addition, the method also has strong adaptability and flexibility, and can be flexibly adjusted and optimized according to different engine types and operating conditions, further broadening its scope of application. The application of the method, device, medium and program product can also promote the continuous innovation and development of motor technology and promote the overall technological progress of related industries.

[0040] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1A flowchart of a surge supercharger positioning method provided by at least one embodiment of the present disclosure;

[0043] Figure 2 A flow chart of another surge supercharger positioning method provided by at least one embodiment of the present disclosure;

[0044] Figure 3 A schematic diagram of obtaining noise mutation fluctuation values ​​and noise peak values ​​provided by at least one embodiment of the present disclosure;

[0045] Figure 4 A flowchart of an example of a surge booster positioning method provided by at least one embodiment of the present disclosure;

[0046] Figure 5 A schematic block diagram of a surge supercharger positioning device provided by at least one embodiment of the present disclosure;

[0047] Figure 6 A schematic diagram of the layout of a microphone sensor provided by at least one embodiment of the present disclosure;

[0048] Figure 7 A schematic diagram of the composition of a program product provided for at least one embodiment of the present disclosure. DETAILED DESCRIPTION

[0049] The present disclosure is further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present disclosure and do not limit the scope of the present disclosure. Similarly, the following examples are only some embodiments of the present disclosure and not all embodiments. All other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present disclosure.

[0050] The terms "first," "second," and "third" in the embodiments of the present disclosure are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Therefore, features defined as "first," "second," and "third" may explicitly or implicitly include at least one of such features.

[0051] In the description of the present disclosure, “a plurality of” means at least two, such as two or three, etc., unless otherwise clearly and specifically defined.

[0052] In the present disclosure, the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples without contradiction.

[0053] The terms "including," "having," and any variations thereof in the embodiments of the present disclosure are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or components inherent to the process, method, product, or apparatus.

[0054] As used herein, "program product" includes, but is not limited to, electronic devices or electronic apparatuses.

[0055] As used herein, "electronic equipment" includes, but is not limited to, devices configured to receive / transmit communication signals via a wireline connection (e.g., via a public switched telephone network (PSTN), a digital subscriber line (DSL), a digital cable or direct cable connection, and / or another data connection / network) and / or via a wireless interface (e.g., to a cellular network, a wireless local area network (WLAN), a digital television network such as a DVB-H network, a satellite network, or an AM-FM broadcast transmitter, and / or another communication terminal). A communication terminal configured to communicate via a wireless interface may be referred to as a "wireless communication terminal," "wireless terminal," or "mobile terminal." Examples of mobile terminals include, but are not limited to, satellite or cellular telephones; personal communication system (PCS) terminals that may combine cellular radiotelephony with data processing, fax, and data communication capabilities; PDAs that may include a radiotelephone, pager, Internet / Intranet access, a web browser, a notepad, a calendar, and / or a global positioning system (GPS) receiver; and conventional laptop and / or palmtop receivers or other electronic devices that include a radiotelephone transceiver. A mobile phone is an electronic device equipped with a cellular communication unit.

[0056] The term "surge" in the embodiments of the present disclosure is an abnormal vibration phenomenon that occurs in fluid mechanical equipment when the flow rate is reduced to a certain level. It manifests as low-frequency, high-amplitude gas pressure oscillations along the axis of the compressor, which has a great impact on the mechanical reliability of the equipment.

[0057] The term "surge supercharger" in the embodiments of this disclosure can refer generally to a supercharger experiencing surge, or specifically to the supercharger at the source of engine surge. The supercharger at the source can affect the operation of surrounding superchargers. Hereinafter, this term will specifically refer to the supercharger at the source of engine surge.

[0058] The term "wavelet analysis" in the embodiments of the present disclosure refers to gradually performing multi-scale refinement on the signal through scaling and translation operations, ultimately achieving time refinement at high frequencies and frequency refinement at low frequencies.

[0059] The term "near-field noise data" in the disclosed embodiments refers to noise data measured near the supercharger during engine surge, using a non-contact method. This data contains rich frequency and amplitude information, reflecting the dynamic characteristics of the engine during surge. By analyzing this near-field noise data, it is possible to extract characteristics related to surge, providing important evidence for subsequent surge location and diagnosis.

[0060] The term "RMS noise value" in the disclosed embodiments refers to the effective value of a noise signal, that is, the root mean square value of the noise signal over a specified period of time. It reflects the energy of the noise signal and is an important indicator for assessing noise levels. During the surge turbocharger location process for a diesel engine, monitoring and analyzing the RMS noise value can assist in determining the turbocharger's operating status and the presence of surge, thereby accurately assessing the engine's power performance.

[0061] Figure 1 A flow chart of a surge supercharger positioning method provided by at least one embodiment of the present disclosure. The engine includes multiple superchargers, each of which serves as an independent measurement point. Figure 1 As shown, the method may include steps S10 to S30.

[0062] Step S10: Acquire the near-field noise data of each measuring point under the current working condition.

[0063] Step S20: performing a first data processing based on the near-field noise data of each measuring point, and identifying whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result.

[0064] Step S30: Generate a first positioning result based on the position of the supercharger where surge occurs in the engine.

[0065] It should be noted that the first positioning result can provide technicians with intuitive and accurate surge location information, facilitating subsequent inspection and maintenance work. By analyzing the first positioning result, technicians can quickly identify the supercharger experiencing surge and take appropriate measures to adjust it to ensure stable and efficient engine power performance. Moreover, after identifying the surge supercharger, this method does not stop there and can further locate the specific location of the source of engine surge (the subsequent surge supercharger) in the engine.

[0066] Some embodiments of the present disclosure also provide devices, media (storage media), and program products corresponding to the above methods.

[0067] The method provided by at least one embodiment of the present disclosure is applicable to any existing use or test scenario of an engine with multiple superchargers, and the embodiments of the present disclosure are not limited to this. For example, the method can be applied to the testing of aircraft engines to determine which superchargers may have surge problems under specific flight conditions, thereby optimizing engine performance. Alternatively, the method can also be applied to the production line of automobile engines to monitor the working status of the superchargers in real time, promptly discover and solve potential surge problems, and improve production efficiency and product quality. In addition, the method can also be applied to the engines of large power equipment such as ships and generator sets to ensure their stable operation and reduce the occurrence of failures. The method provided by the embodiments of the present disclosure has broad application prospects and can meet the needs of surge positioning in different fields.

[0068] Compared with related technologies, the method provided by applying at least one embodiment of the present disclosure can significantly improve the accuracy and efficiency of surge positioning. Related technologies often require the addition of additional vibration displacement sensors, which require drilling for testing during layout, which is difficult to implement in production and market environments, and the testing cycle is long. However, the embodiments of the present disclosure can collect near-field noise data of each supercharger in a non-contact manner, thereby achieving rapid and accurate positioning of superchargers that experience surge in the engine, greatly improving the reliability and practicality of positioning. In addition, the method also has strong adaptability and flexibility, and can be flexibly adjusted and optimized according to different engine types and operating conditions, further broadening its scope of application. The application of this method, device, medium and program product can also promote the continuous innovation and development of motor technology and promote the overall technological progress of related industries.

[0069] Step S10 may involve collecting noise data under problematic operating conditions. A problematic operating condition refers to abnormal vibration or noise conditions that occur when the engine is operating under specific conditions. These conditions are typically caused by unstable airflow within the engine or abnormal operation of the supercharger, manifesting as unstable engine power output, increased vibration, and increased noise. Under problematic operating conditions, the engine's surge supercharger may be subjected to additional pressure and load, leading to performance degradation or even damage. Therefore, timely and accurate identification of problematic operating conditions and location of the surge supercharger are crucial for ensuring proper engine operation and extending its service life. Alternatively, step S10 may involve collecting noise data under non-problematic operating conditions for surge prevention. Near-field noise data can be obtained directly using a microphone sensor located external to the supercharger, or indirectly through indirect measurement methods, such as using an accelerometer or temperature sensor to collect data and then converting it into noise data using signal processing techniques. The embodiments of the present disclosure are not limited in this regard.

[0070] In step S20, the first data processing step can involve preliminary screening and preprocessing of the noise data collected in step S10. This process includes operations such as denoising, filtering, and signal enhancement to remove background noise and interfering signals and improve the signal-to-noise ratio. This step ensures that the data used in subsequent analysis is more accurate and reliable. Furthermore, the first data processing step can also include segmenting or classifying the noise data to facilitate more detailed analysis of specific frequency bands or types of noise. The output of this step is preprocessed and filtered noise data, which provides the basis for subsequent surge booster location.

[0071] For step S30, the positioning result is not limited to the position of all superchargers that surge in the engine, but can also be the position of the surge supercharger in the engine determined after further processing. Step S30 may include feature analysis, pattern recognition or machine learning algorithms based on noise data to more accurately identify the specific location of the surge supercharger. For example, by analyzing the spectral characteristics, amplitude changes or periodic patterns of the noise data, the specific characteristics of the surge supercharger can be determined, and then accurately located in the engine layout. In addition, combined with prior knowledge of the engine and operating parameters such as speed, load, etc., the accuracy and reliability of positioning can be further improved. The first positioning result will provide specific location information about the surge supercharger in the engine, providing key guidance for subsequent maintenance, replacement or adjustment.

[0072] Figure 2 A flow chart of another surge booster positioning method provided by at least one embodiment of the present disclosure. Figure 2As shown, in order to obtain a more accurate positioning result, the method further includes the following steps S40 to S50 to achieve a further accurate positioning function.

[0073] Step S40: For each supercharger experiencing surge, perform a second data processing based on the near-field noise data of the corresponding measuring point of the supercharger, and determine whether the supercharger is a surge supercharger causing engine surge based on the second data processing result.

[0074] Step S50: If the supercharger is a surge supercharger that causes engine surge, the position of the supercharger in the engine is obtained to generate a second positioning result.

[0075] Among them, steps S40-S50 can further optimize the positioning accuracy of the surge supercharger and improve diagnostic efficiency. Specifically, the second data processing in step S40 may involve frequency domain analysis, time domain analysis, or feature extraction of near-field noise data. Through these processing methods, the specific supercharger causing engine surge can be more accurately identified. Step S50, based on the identification result of step S40, directly obtains the specific location of the supercharger in the engine and generates a second positioning result that is more accurate than the first positioning result. This design not only improves the accuracy and efficiency of surge supercharger positioning, but also provides strong support for subsequent maintenance and replacement work.

[0076] In some embodiments, in order to accurately determine whether the supercharger is experiencing surge, the first data processing in step S20 is configured to include but is not limited to wavelet analysis, and the step of identifying whether the supercharger corresponding to the measuring point is experiencing surge based on the first data processing result in step S20 is configured to include the following sub-steps S201 to S204 to achieve a precise identification function.

[0077] Sub-step S201: Obtain a surge fault time period range that matches the engine and current operating conditions.

[0078] Sub-step S202: obtaining the time interval between adjacent noise mutations (also called noise fluctuation occurrence time interval) in the near-field noise data based on the wavelet analysis result.

[0079] Sub-step S203: In response to the time interval falling within the surge fault time period range, it is determined that the supercharger corresponding to the measuring point has surged.

[0080] Sub-step S204: In response to the time interval not falling within the surge fault time period range, it is determined that the supercharger corresponding to the measuring point does not surge.

[0081] Substeps S201 through S204 enable precise identification of supercharger surge faults. This identification method, based on wavelet analysis and time interval matching, fully considers the impact of engine operating conditions and surge fault characteristics, thereby improving identification accuracy and reliability. Furthermore, this method offers high real-time performance, enabling timely detection and resolution of surge faults, effectively preventing engine performance degradation and damage caused by surge faults.

[0082] In some embodiments, microphone sensors are installed within the measurement area of ​​each measurement point to collect near-field noise data from the supercharger. Due to their high sensitivity and wide bandwidth, these microphone sensors are able to accurately capture various noise signals generated by the supercharger during operation. By collecting and analyzing these noise signals, characteristic information related to surge faults can be further extracted, providing more accurate data support for subsequent surge identification. Furthermore, the installation location and number of microphone sensors can be adjusted and optimized based on actual conditions to ensure comprehensive monitoring and precise location of supercharger surge faults.

[0083] In some embodiments, in order to accurately locate the surge supercharger, the second data processing in step S40 is configured to include but is not limited to bandpass filtering processing, and the determination of whether the supercharger is a surge supercharger causing engine surge based on the second data processing result in step S40 is configured to include the following sub-steps S401 and S402 to achieve the precise positioning function of the surge supercharger.

[0084] Sub-step S401: obtaining the noise mutation fluctuation value and noise peak value of the measuring point within a set time based on the bandpass filtering processing result.

[0085] Sub-step S402: In response to the noise sudden change fluctuation value exceeding a preset first normal fluctuation threshold and the noise peak value exceeding a preset second normal fluctuation threshold, determining that the supercharger is a surge supercharger causing engine surge.

[0086] Among them, through band-pass filtering processing, the background noise and interference of irrelevant frequencies can be effectively filtered out, making the target noise signal more prominent. The accuracy and reliability of surge turbocharger positioning can be further improved through sub-steps S401 and S402. Specifically, sub-step S401 extracts the noise characteristics of the measuring point within a specific time period by analyzing the results of band-pass filtering processing, including noise mutation fluctuation values ​​and noise peaks. These characteristics can reflect the abnormal conditions of the supercharger working state. Sub-step S402 achieves accurate judgment of the surge turbocharger by comparing the noise characteristics with the preset threshold. This method not only improves the positioning accuracy, but also enhances the robustness of the system, so that stable surge turbocharger positioning can be achieved under different working conditions and noise environments.

[0087] Figure 3 A schematic diagram of obtaining noise mutation fluctuation value and noise peak value provided by at least one embodiment of the present disclosure. Figure 3 As shown in the figure, within the set time window (at least 10s), the noise mutation fluctuation value and noise peak value are obtained through the trend of noise data changing over time (i.e., the trend graph of noise RMS value changing over time). The noise mutation fluctuation value reflects the degree of drastic change of the noise signal in a short period of time, while the noise peak value reflects the maximum amplitude of the noise signal. These two parameters together constitute an important basis for judging whether the supercharger is surging. For example, if the noise mutation fluctuation value of a certain measuring point is ≥3dBA and the noise peak value is ≥114dBA, it is confirmed that surge has occurred at the supercharger at the measuring point. The noise test result is directly related to the distance.

[0088] In some embodiments, in order to adapt to the positioning requirements of different operating scenarios, the first normal fluctuation threshold and the second normal fluctuation threshold are both configured to be related to the engine model of the engine and the operating parameters of the current operating condition. Among them, the engine model of the engine determines its basic noise level and the range of noise characteristics that may be generated. The operating parameters of the current operating condition, such as speed, load, intake temperature, etc., further affect the actual performance of the noise. Therefore, associating the first normal fluctuation threshold and the second normal fluctuation threshold with these parameters can ensure the accuracy and adaptability of the surge booster judgment. In actual applications, the first normal fluctuation threshold and the second normal fluctuation threshold can be flexibly adjusted according to different engine models and operating parameters to meet the needs of different scenarios. This configuration method not only improves the accuracy of surge booster positioning, but also enhances the flexibility and versatility of the system.

[0089] In some embodiments, to provide surge fault time period ranges tailored to different operating conditions, sub-step S201 is refined to include: obtaining operating parameters for the current operating condition; generating a surge fault time period threshold based on the engine model and operating parameters; and generating a surge fault time period range based on the surge fault time period threshold. The surge fault time period threshold refers to the maximum time period during which an engine surge fault occurs. It is not a fixed value. For diesel engines, the fault time period threshold is generally 0.2 to 1 second. This refinement further enhances the intelligent and automated level of surge booster positioning. First, by acquiring current operating parameters such as speed, load, and intake air temperature in real time, the system can fully understand the engine's current operating state. Next, based on the engine model and these operating parameters, the system intelligently generates a surge fault time period threshold. This surge fault time period threshold can be one or more, depending on the specific application scenario. The surge fault time period threshold is calculated based on the engine model's baseline noise level and the impact of operating parameters on actual noise performance, resulting in high accuracy and adaptability. Finally, based on the generated surge fault time period threshold, the system can further generate a surge fault time period range, providing a more precise time reference for subsequent surge booster location. This detailed implementation not only improves the timeliness of surge booster location but also further enhances the system's intelligence and automation.

[0090] In some embodiments, the engine also includes an intake system, and operating parameters are configured to include engine load variations, intake system blockage parameters, status parameters of each supercharger, environmental parameters, and engine maintenance parameters. Together, these parameters provide comprehensive data support for engine surge fault analysis. Load variations reflect the real-time dynamics of engine operating intensity, helping the system determine the likelihood of surge. Frequent or rapid load variations may trigger surge. Intake system blockage parameters reveal airflow obstruction and are crucial for predicting surge. Blockage or improper intake system design can lead to unstable flow. The status parameters of each supercharger provide direct information on supercharger operating efficiency, helping to accurately locate surge-prone superchargers. Carbon deposits or wear on superchargers can affect performance and increase the risk of surge. Environmental parameters such as temperature and humidity, while not directly influencing surge, can indirectly affect engine performance and are therefore considered. For example, high temperatures and altitudes reduce air density, impacting intake air volume. Engine maintenance parameters reflect the overall health of the engine and help the system assess the risk level of a surge fault. Lack of engine maintenance can lead to impurity accumulation, which can affect turbine operation. Through real-time monitoring and analysis of these comprehensive parameters, the system can more accurately predict the occurrence of surge failures and take corresponding measures in advance to effectively avoid damage to the engine caused by surge.

[0091] In some embodiments, to simplify the process, the number of surge fault time cycle thresholds is one, and the surge fault time cycle range is configured to include time intervals greater than the surge fault time cycle threshold. When the system detects that the engine surge fault time cycle exceeds a preset threshold, an alarm mechanism is triggered, alerting the operator and prompting them to take appropriate preventative measures. This setting helps reduce false alarms, ensuring that alarms are only triggered when a surge fault actually exists and persists for a long period of time, thereby improving system accuracy and reliability. By precisely setting the surge fault time cycle threshold, the system can more intelligently identify the development trend of surge faults, providing strong data support for timely engine maintenance and repair.

[0092] In some embodiments, to improve detection sensitivity, an air filter is installed at the air inlet (inlet or outlet) of each of the multiple superchargers. A microphone sensor is installed in a designated near-field area of ​​the air filter or supercharger, and bandpass filtering is performed within a frequency range of 20 to 20,000 Hz. This frequency range is selected to effectively capture the acoustic characteristics of the supercharger and air filter area, particularly the specific audio signals associated with surge. The high sensitivity of the microphone sensor enables it to accurately pick up these acoustic characteristics and convert them into electrical signals for subsequent analysis. Bandpass filtering further ensures that only audio signals related to surge are analyzed, effectively eliminating interference from background noise and other irrelevant signals. By monitoring these filtered audio signals in real time, the system can promptly detect signs of surge, providing critical data for subsequent fault warning and location. This setup also enhances the system's robustness, enabling stable operation under various complex operating conditions and ensuring reliable and safe engine operation.

[0093] In some embodiments, in order to provide an effective early warning, when the second positioning result includes the locations of multiple superchargers, the method further includes the following steps S60 to S80.

[0094] Step S60: for each supercharger in the second positioning result, determine the severity of the surge of the supercharger based on the second data processing result, and generate a surge warning of a corresponding level for the supercharger.

[0095] Step S70: Prioritize the multiple superchargers in the second positioning result based on the severity of the surge to generate a third positioning result.

[0096] Step S80: Transmitting the third positioning result to the engine monitoring system of the vehicle in real time, and displaying it on the alarm control screen of the engine monitoring system.

[0097] Through steps S60-S80, the system enables refined management of the surge severity of different superchargers. For superchargers experiencing higher surge levels, the system prioritizes early warnings, enabling maintenance personnel to quickly respond and take necessary maintenance measures. This prioritization not only improves maintenance efficiency but also effectively prevents escalation of engine failures caused by surge, further ensuring vehicle safety and stability. Simultaneously, the third-party positioning results are transmitted in real time to the engine monitoring system, allowing drivers and maintenance personnel to monitor the supercharger's operating status in real time, providing strong support for subsequent maintenance decisions.

[0098] Figure 4 This is a flow chart of an example of a surge booster positioning method provided by at least one embodiment of the present disclosure. Figure 4As shown, first, the noise data of the problem working condition is collected, and then the noise data is processed by wavelet analysis to determine the time interval t1 between adjacent noise mutations. When the time interval t1 between adjacent noise mutations is greater than the surge fault time period threshold TC, the turbocharger is determined to be non-surge. When the time interval t1 between adjacent noise mutations is less than or equal to the surge fault time period threshold TC, further analysis is performed, and the noise data of all measuring points are subjected to 20-20000Hz bandpass filtering. The noise RMS value (effective value) of all measuring points is calculated, and the measuring points that meet the noise mutation fluctuation value exceeding the first normal fluctuation threshold N1 (unit dBA) and the noise peak value exceeding the second normal fluctuation threshold N2 (unit dBA) are selected as surge turbochargers.

[0099] From the above description, it can be seen that the present disclosure achieves at least the following technical effects:

[0100] 1. This method requires no structural changes to the supercharger. The noise sensors are arranged non-contact, quickly identifying surged superchargers based on their characteristic noise amplitude. This method not only simplifies the process and reduces maintenance costs, but also improves detection efficiency and accuracy. In practical applications, simply placing noise sensors strategically around the engine allows for real-time monitoring of the status of each supercharger.

[0101] 2. This method can automatically screen and mark surge turbochargers, providing maintenance personnel with intuitive and reliable fault information, so that they can quickly locate and take corresponding measures, effectively avoiding the adverse effects of surge faults on engine operation.

[0102] 3. This method is applicable to locating surge boosters in different engine models and operating conditions. Furthermore, it is applicable not only to standard-configuration engines but also to modified or specially designed engines. Whether it's a large marine engine or a small automotive engine, as long as the engine's operating principle includes a booster, this method can effectively identify surge faults. Furthermore, whether operating under high-speed or low-speed, heavy-load conditions, this method accurately determines the location of surge boosters based on noise signatures. This broad applicability makes this method extremely valuable and practical in practical applications.

[0103] The present disclosure also provides a surge supercharger positioning device for implementing the above method embodiment. The engine includes multiple superchargers, and each of the multiple superchargers serves as an independent measurement point. Figure 5 A schematic block diagram of a surge booster positioning device provided by at least one embodiment of the present disclosure. Figure 5 As shown, the surge turbocharger positioning device 1 includes a data acquisition unit 10 , a first data processing unit 20 and a result generation unit 30 .

[0104] The data acquisition unit 10 is configured to acquire near-field noise data of each measuring point under current working conditions.

[0105] The first data processing unit 20 is configured to perform a first data processing based on the near-field noise data of each measuring point, and identify whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result.

[0106] The result generating unit 30 is configured to obtain the positions of all turbochargers experiencing surge in the engine and generate a first positioning result.

[0107] The specific manner in which each unit in the above device embodiment performs operations has been described in detail in the embodiment of the method, and will not be elaborated on here.

[0108] In some embodiments, the surge turbocharger positioning device 1 includes a second data processing unit 40. The second data processing unit 40 is configured to execute step S40, and the result generating unit 30 is configured to further execute step S50.

[0109] Figure 6 This diagram illustrates the placement of microphone sensors in at least one embodiment of the present disclosure. The engine is equipped with superchargers 1, 2, 3, and 4, respectively. Each microphone sensor has an air filter at its air inlet. Microphone sensors are positioned near (or in the vicinity of) the air filter to collect noise data from problematic operating conditions.

[0110] The embodiment of the present disclosure further provides a storage medium, which stores a program or instruction. When the program or instruction is executed by a processor, the steps of the above method embodiment are implemented.

[0111] The present disclosure also provides a program product, such as Figure 7 As shown, the program product includes one or more processors 21 and a memory 22. Figure 7 A processor 21 is taken as an example.

[0112] The controller may further include an input device 23 and an output device 24 .

[0113] The processor 21, the memory 22, the input device 23 and the output device 24 may be connected via a bus or other means. Figure 7 The bus connection is taken as an example.

[0114] The processor 21 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips. The general-purpose processor can be a microprocessor or any conventional processor.

[0115] Memory 22, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and units, such as the program instructions / units corresponding to the method in the embodiments of the present disclosure. Processor 21 executes the non-transitory software programs, instructions, and units stored in memory 22 to execute various functional applications and data processing of the server, thereby implementing the steps of the above-mentioned method embodiments.

[0116] The memory 22 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the processing device operated by the server, etc. In addition, the memory 22 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 22 may optionally include a memory remotely located relative to the processor 21, and these remote memories may be connected to a network connection device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0117] The input device 23 can receive input digital or character information and generate key signal input related to user settings and function control of the processing device of the server. The output device 24 can include a display device such as a display screen.

[0118] One or more units are stored in the memory 22 and when executed by one or more processors 21, perform the following steps: Figure 1 The method shown.

[0119] Those skilled in the art will appreciate that all or part of the processes in the above method embodiments can be implemented by instructing related hardware through a computer program. The program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes in the above method embodiments. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FM), a hard disk drive (HDD), or a solid-state drive (SSD). The storage medium can also include a combination of the above types of memory.

[0120] Although the embodiments of the present disclosure have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations are all within the scope defined by the appended claims.

[0121] Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are illustrative and are not to be construed as limitations on the present disclosure. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present disclosure.

Claims

1. A method for positioning a surge supercharger of an engine, wherein the engine comprises a plurality of superchargers, characterized in that: Each of the plurality of superchargers serves as an independent measurement point, and the method includes: Obtaining near-field noise data of each measuring point under current working conditions; performing a first data processing based on the near-field noise data of each measuring point, and identifying whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result; and A first positioning result is generated based on a position of the supercharger where surge occurs in the engine.

2. The method according to claim 1, characterized in that Also includes: For each supercharger experiencing surge, performing a second data processing based on near-field noise data of a measuring point corresponding to the supercharger, and determining, based on a result of the second data processing, whether the supercharger corresponding to the measuring point is the surge supercharger causing engine surge; as well as, If the supercharger is the surge supercharger that causes engine surge, the position of the supercharger in the engine is obtained to generate a second positioning result.

3. The method according to claim 1 or 2, characterized in that The first data processing includes wavelet analysis, and the identifying whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result includes: Obtaining a surge fault time period range that matches the engine and current operating conditions; Obtaining the time interval between adjacent noise mutations in the near-field noise data based on the wavelet analysis result; In response to the time interval falling within the surge fault time period range, determining that the supercharger corresponding to the measuring point has surged; and In response to the time interval not falling within the surge fault time period range, it is determined that the supercharger corresponding to the measuring point does not surge.

4. The method according to claim 2, characterized in that A microphone sensor for collecting near-field noise data of the supercharger is installed within a measuring point area where each measuring point is located. The second data processing includes bandpass filtering. Furthermore, determining whether the supercharger corresponding to the measuring point is the surge supercharger causing engine surge based on a result of the second data processing includes: Obtaining the noise mutation fluctuation value and noise peak value of the measuring point within a set time based on the bandpass filtering processing result; and In response to the sudden noise fluctuation value exceeding a preset first normal fluctuation threshold and the noise peak value exceeding a preset second normal fluctuation threshold, it is determined that the supercharger is the surge supercharger causing engine surge.

5. The method according to claim 3, characterized in that The obtaining of a surge fault time period range matching the engine and the current operating conditions includes: Get the working condition parameters of the current working condition; generating a surge fault time period threshold based on the engine model and the operating condition parameters of the engine; and The surge fault time period range is generated based on the surge fault time period threshold.

6. The method according to claim 5, characterized in that The engine further includes an intake system, the operating parameters include load changes of the engine, a blockage parameter of the intake system, a state parameter of each supercharger, an environmental parameter, and an engine maintenance status parameter; and, The number of the surge fault time period threshold is one, and the surge fault time period range is configured such that the time interval is greater than the surge fault time period threshold.

7. The method according to claim 4, characterized in that An air filter is installed at the air port of each of the plurality of superchargers, and the microphone sensor is installed in a set near-field area of ​​the air filter or the supercharger; and The frequency range of the bandpass filtering process is 20 to 20,000 Hz; In the case where the second positioning result includes positions of a plurality of superchargers, the method further includes: For each of the superchargers in the second positioning result, determining a surge severity of the supercharger based on the second data processing result, and generating a surge warning of a corresponding level for the supercharger; Prioritizing the plurality of superchargers in the second positioning result based on the surge severity to generate a third positioning result; and The third positioning result is transmitted to the engine monitoring system of the vehicle in real time and displayed on the alarm control screen of the engine monitoring system.

8. A surge supercharger positioning device for an engine, wherein the engine comprises a plurality of superchargers, characterized in that: Each of the plurality of superchargers serves as an independent measuring point, and the device comprises: a data acquisition unit, configured to acquire near-field noise data of each of the measuring points under current working conditions; a first data processing unit configured to perform a first data processing based on the near-field noise data of each measuring point, and identify whether surge occurs in the supercharger corresponding to the measuring point based on the first data processing result; and The result generating unit is configured to generate a first positioning result based on a position of the supercharger where surge occurs in the engine.

9. A storage medium, characterized in that: The storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A program product comprising a program or instructions, characterized in that When the program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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