Early warning method and device based on prediction of residual life of oil-water separator

Abstract

The invention provides an early warning method and device based on prediction of the residual life of an oil-water separator, and belongs to the technical field of engine management systems. According to the method, the health index reflecting the comprehensive health state of the oil-water separator is calculated by collecting the pressure difference between the two ends of a filter element of the oil-water separator, the water content of separated fuel oil, the accumulated flow and other multi-dimensional parameters in real time; constructing a performance degradation model based on the change of the health index along with the accumulated flow, and extrapolating and predicting the residual service life; and according to the real-time health index and the predicted residual life, executing a multi-stage intelligent control strategy including prompting, early warning and forced maintenance. The oil-water separator is changed from regular maintenance to condition-based maintenance, early warning can be carried out in advance, different working conditions can be adapted, excessive maintenance and insufficient maintenance are avoided, and the operation reliability, economical efficiency and safety of an engine are remarkably improved.

Description

Technical Field

[0001] This invention relates to an early warning method and device based on predicting the remaining lifespan of an oil-water separator, belonging to the technical field of engine management systems. Background Technology

[0002] In diesel engines, water in the fuel system can cause corrosion, jamming, and abnormal wear of precision components such as the fuel pump and injectors, leading to reduced engine power, worsened emissions, and even serious mechanical failure. The fuel-water separator is a crucial component for filtering water and impurities from the fuel.

[0003] Currently, the maintenance of oil-water separators generally adopts a periodic replacement strategy based on fixed mileage or operating time. This strategy has significant drawbacks:

[0004] Over-maintenance: If the oil-water separator is replaced before it reaches the end of its lifespan, it will result in a waste of spare parts and labor costs.

[0005] Untimely maintenance: If the oil-water separator fails before the maintenance cycle, water will enter the fuel system, causing irreversible damage.

[0006] Unable to adapt to operating conditions: Fixed replacement cycles cannot reflect the differences in the actual operating environment of the engine (such as fuel quality, air humidity, load rate, etc.).

[0007] Existing technologies provide alarms after an event or during an event, but cannot enable predictive maintenance beforehand. Therefore, there is an urgent need for a method that can assess the health status of oil-water separators in real time, accurately predict their remaining service life, and provide early warning logic. Summary of the Invention

[0008] The purpose of this invention is to provide an early warning method and device based on predicting the remaining life of an oil-water separator. By monitoring the performance degradation of the oil-water separator in real time, its remaining life can be predicted, and maintenance or protection strategies can be proactively prompted when necessary, thereby improving the reliability and economy of engine operation.

[0009] To achieve the above objectives / to solve the above technical problems, the present invention is implemented using the following technical solution.

[0010] On one hand, the present invention provides an early warning method based on predicting the remaining lifespan of an oil-water separator, comprising:

[0011] Real-time acquisition of oil-water separator operating parameters, including at least: real-time pressure difference across the oil-water separator filter element, real-time water content of the separated fuel, and cumulative fuel flow rate since the last filter element replacement;

[0012] Calculate the real-time health index of the oil-water separator based on the operating parameters. ;

[0013] According to real-time health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ;

[0014] According to real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies.

[0015] Furthermore, the real-time health index of the oil-water separator is calculated based on the operating parameters. Specifically, it includes:

[0016] ;

[0017] ;

[0018] in: This refers to the real-time health index of the oil-water separator. The pressure difference across the filter element of the normalized oil-water separator. To normalize the water content of the fuel after passing through the oil-water separator, This represents the cumulative fuel flow rate since the last filter replacement. This refers to the cumulative flow rate of the filter element under standard conditions during its rated lifespan. These are the weighting coefficients.

[0019] Furthermore, the pressure difference across the normalized oil-water separator filter element The calculation expression is:

[0020] ;

[0021] in: The real-time pressure difference across the oil-water separator filter element. This represents the initial pressure difference across the two ends of a brand new oil-water separator filter element at rated flow. The maximum permissible pressure difference across the oil-water separator filter element. This indicates that the oil-water separator filter element is brand new and unobstructed. This indicates that the oil-water separator filter element is completely clogged.

[0022] The normalized fuel water content after passing through the oil-water separator The calculation expression is:

[0023] ;

[0024] in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This represents the initial water content of a brand new oil-water separator filter element under normal operating conditions. This is the maximum permissible moisture content allowed by the system. This indicates that the oil-water separator filter element has a separation efficiency as high as a brand new one. This indicates that the oil-water separator has completely failed and is unable to separate water.

[0025] Furthermore, the statement based on health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. Specifically, it includes:

[0026] Step 1: Based on health index With cumulative fuel flow Based on the changes, a performance degradation model is established, expressed as:

[0027] ;

[0028] in: To accumulate traffic, This corresponds to the health index based on cumulative traffic. For scale parameters, For the attenuation rate parameter, For asymptotic parameters;

[0029] Step 2: Set the health index failure threshold The health index was obtained by extrapolation from the performance degradation model and decreased to [a certain value]. Total cumulative flow corresponding to the time The expression is:

[0030] ;

[0031] Step 3: Calculate the remaining useful life, expressed as:

[0032] ;

[0033] in: For the remaining service life, The total cumulative flow through the filter element when the health index of the oil-water separator drops to the failure threshold. This represents the current cumulative flow rate of the oil-water separator.

[0034] Furthermore, in calculating the health index Previously, it also included compensation for real-time pressure difference and real-time moisture content, specifically including:

[0035] Real-time differential pressure and real-time moisture content compensation usually involve temperature compensation first, followed by flow compensation using instantaneous flow rate, because temperature affects the essential properties of the fluid, while flow rate affects the flow state.

[0036] The real-time differential pressure compensation method specifically includes:

[0037] Based on the current fuel temperature For real-time pressure difference The compensation is expressed as follows:

[0038] ;

[0039] ;

[0040] in: The real-time pressure difference across the oil-water separator filter element. The pressure difference across the oil-water separator filter element after temperature compensation. Current fuel temperature The fuel viscosity at the following levels The reference viscosity at the reference temperature. Viscosity-temperature coefficient, Using the fuel reference temperature, this method converts the pressure difference to a value at the reference temperature, eliminating the influence of viscosity changes;

[0041] Based on the current instantaneous fuel flow rate Real-time pressure difference after temperature compensation The compensation is expressed as follows:

[0042] ;

[0043] in: The pressure difference across the oil-water separator filter element after flow compensation. The pressure difference across the oil-water separator filter element after temperature compensation. The flow rate differential pressure characteristic index, This refers to the rated flow rate of the filter element; for a specific filter element, Typically between 1 (pure laminar flow) and 2 (pure turbulent flow), the typical value for a filter element is approximately 1.5–1.8; this method converts the pressure difference to the value at the rated flow rate, eliminating the influence of changes in operating conditions.

[0044] The real-time moisture content compensation method specifically includes:

[0045] Based on the current fuel temperature For real-time moisture content The temperature compensation is expressed as follows:

[0046] ;

[0047] ;

[0048] in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. It is the temperature efficiency factor, typically at low temperatures. <1, at high temperatures ≥1, The optimal temperature for fuel efficiency; The linear coefficient (unit: 1 / ℃) describes the linear trend of separation efficiency with temperature. The coefficient is a quadratic coefficient (unit: 1 / ℃²), which describes the curvature (non-linearity) of the separation efficiency as a function of temperature. This method converts the water content to the value at the reference temperature, thus eliminating the influence of viscosity changes.

[0049] Based on the current instantaneous fuel flow rate Real-time moisture content after temperature compensation The compensation is expressed as follows:

[0050] ;

[0051] in: The water content after flow compensation at both ends of the oil-water separator filter element. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. This is the effect factor of flow rate on separation efficiency, which is usually close to 1, but deviates from 1 under extreme flow rates, meaning the effect of flow rate is negligible; its value can be established through bench tests. and The mapping relationship can be found in the table, or it can be simplified to a piecewise linear function for approximation.

[0052] Furthermore, the statement based on real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies, specifically including:

[0053] Determine whether If satisfied If this occurs, a Level 3 warning will be triggered, a mandatory maintenance alarm will be activated, and engine power will be limited.

[0054] If not satisfied Then determine whether If satisfied If this occurs, a level two warning will be triggered, and the remaining lifespan will be displayed.

[0055] If it is not satisfied Then determine whether And predict remaining lifespan If the conditions for triggering a Level 1 warning are met, only the health index status information of the oil-water separator will be recorded; otherwise, no action is required.

[0056] in: For warning thresholds, For absolute safety threshold, This is a warning value for remaining lifespan;

[0057] ,

[0058] The cumulative traffic volume is for a Level II warning.

[0059] Secondly, the present invention provides an early warning device based on predicting the remaining lifespan of an oil-water separator, comprising:

[0060] The acquisition module is used to acquire the operating parameters of the oil-water separator in real time. The operating parameters include at least: the real-time pressure difference across the oil-water separator filter element, the real-time water content of the separated fuel, and the cumulative fuel flow rate since the last filter element replacement.

[0061] The health index module is used to calculate the real-time health index of the oil-water separator based on the operating parameters. ;

[0062] The prediction module is used to predict based on real-time health indices. Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ;

[0063] The execution module is used to determine the health index based on real-time data. and / or predicted remaining useful life Implement corresponding early warning or control strategies.

[0064] Thirdly, the present invention provides an early warning system based on predicting the remaining lifespan of an oil-water separator, comprising:

[0065] Memory, used to store computer programs / instructions;

[0066] A processor is used to execute the computer program / instructions to implement the steps of the above-described early warning method based on predicting the remaining life of an oil-water separator.

[0067] Fourthly, the present invention provides a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implements the steps of the aforementioned early warning method based on predicting the remaining lifespan of an oil-water separator.

[0068] Fifthly, the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the aforementioned early warning method based on predicting the remaining lifespan of an oil-water separator.

[0069] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: The present invention changes the traditional maintenance mode based on fixed cycles or simple alarms. Through real-time health status assessment and remaining life prediction, it realizes the intelligent transformation from "periodic replacement" to "condition-based maintenance". It can accurately judge the actual consumption status of the oil-water separator and prompt maintenance at the optimal time. This avoids the waste of spare parts and labor costs caused by premature replacement and also prevents the risk of secondary engine damage caused by delayed maintenance.

[0070] This invention innovatively employs multi-dimensional information fusion technology to simultaneously monitor four key parameters: differential pressure, water content, temperature, and flow rate. It comprehensively evaluates the condition of the oil-water separator from two core dimensions: "degree of clogging" and "separation efficiency." This multi-dimensional diagnostic approach significantly improves the robustness and accuracy of condition assessment.

[0071] This invention uses cumulative fuel flow rate instead of time as a benchmark, eliminating prediction errors caused by different engine operating conditions (such as idling and full load). Based on historical performance data trends, it dynamically predicts remaining lifespan using fitting and extrapolation algorithms (such as linear regression and exponential fitting). This allows the prediction results to adapt to the specific operating conditions and environment of the equipment.

[0072] This invention establishes a multi-level threshold triggering mechanism (such as suggestion, warning, and alarm), and executes a tiered control strategy from "maintenance prompt" to "forced power limiting" according to different levels. This tiered control strategy ensures both timely maintenance and maximizes equipment safety, and is estimated to avoid engine repair costs due to complete failure of the oil-water separator. Attached Figure Description

[0073] Figure 1 This is a control flow diagram of the algorithm logic of this invention;

[0074] Figure 2 This is a schematic diagram illustrating the prediction of the Health Index (HI) as a function of cumulative flow decay and Remaining Life (RUL) in this invention.

[0075] Figure 3 This is a schematic diagram of the structural installation of the system of the present invention. Detailed Implementation

[0076] It should be noted that:

[0077] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations thereof. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0078] The term "and / or" simply describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0079] Example 1

[0080] like Figures 1-2 The embodiment shown provides an early warning method based on predicting the remaining lifespan of an oil-water separator, including:

[0081] Real-time acquisition of oil-water separator operating parameters, including at least: real-time pressure difference across the oil-water separator filter element, real-time water content of the separated fuel, and cumulative fuel flow rate since the last filter element replacement;

[0082] Calculate the real-time health index of the oil-water separator based on the operating parameters. ;

[0083] According to real-time health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ;

[0084] According to real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies.

[0085] The real-time health index of the oil-water separator is calculated based on the operating parameters. Specifically, it includes:

[0086] ;

[0087] ;

[0088] in: This refers to the real-time health index of the oil-water separator. The pressure difference across the filter element of the normalized oil-water separator; This is to normalize the water content of the fuel after passing through the oil-water separator; This represents the cumulative fuel flow rate since the last filter replacement. This refers to the cumulative flow rate of the filter element under standard conditions during its rated lifespan. These are the weighting coefficients.

[0089] The weighting coefficients can be determined comprehensively based on factors such as engine type, operating environment, fuel quality, filter characteristics, and historical data, specifically:

[0090] Benchmark setting: First, the initial weights are determined based on the core risks of the engine type; for example, high-pressure common rail engines are extremely sensitive to moisture, so moisture content is assigned a weight. Higher values; traditional engines are more sensitive to blockages, hence the pressure differential weighting. Higher values;

[0091] Dynamic correction: Adjusts in real time based on operating environment and fuel quality, improving efficiency in high humidity environments or when fuel has high water content. In dusty environments or when fuel contains many impurities, improve ;

[0092] Component matching: Fine-tune according to the characteristics of the filter element (such as dirt holding capacity and separation efficiency) to match the evaluation criteria with the actual performance of the filter element;

[0093] Continuous optimization: After the system is running, it uses accumulated historical data and a self-learning algorithm to continuously optimize the weights, making the prediction model more and more in line with the actual use of the equipment.

[0094] Normalization constraint: The final weights always satisfy To ensure the balance and rationality of health index assessment;

[0095] The weighting coefficients enable the health assessment model of this invention to accurately adapt to a wide variety of specific application scenarios, achieving personalized and precise predictions.

[0096] The pressure difference across the filter element of the normalized oil-water separator The calculation expression is:

[0097] ;

[0098] in: The real-time pressure difference across the oil-water separator filter element. This represents the initial pressure difference across the two ends of a brand new oil-water separator filter element at rated flow. This refers to the maximum permissible pressure difference across the oil-water separator filter element. This indicates that the oil-water separator filter element is brand new and unobstructed. This indicates that the oil-water separator filter element is completely clogged.

[0099] The normalized fuel water content after passing through the oil-water separator The calculation expression is:

[0100]

[0101] in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This represents the initial water content of a brand new oil-water separator filter element under normal operating conditions. This is the maximum permissible moisture content allowed by the system. This indicates that the oil-water separator filter element has a separation efficiency as high as a brand new one. This indicates that the oil-water separator has completely failed and is unable to separate water.

[0102] According to the health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. Specifically, it includes:

[0103] Step 1: Based on health index With cumulative fuel flow Based on the changes, a performance degradation model is established, expressed as:

[0104] ;

[0105] in: For cumulative traffic; This corresponds to the health index based on cumulative traffic. For scale parameters, For the attenuation rate parameter, For asymptotic parameters;

[0106] in: For scale parameters, For the attenuation rate parameter, The methods for obtaining asymptotic parameters specifically include:

[0107] First, estimate the asymptotic value. Take health index The minimum or average value of the last part;

[0108] Secondly, using a linearized model The initial value is obtained through linear regression. and ;

[0109] Finally: Use nonlinear optimization algorithms (such as least squares optimization) to... , , Fine-tuning was carried out.

[0110] Note: If the data is insufficient or the trend is not obvious, the fit will be unreliable. In this case, a certain number of data points (at least 4-5) are required for fitting.

[0111] Step 2: Set the health index failure threshold The health index was obtained by extrapolation from the performance degradation model and decreased to [a certain value]. Total cumulative flow corresponding to the time Specifically, it includes:

[0112] Failure threshold Substitute into the performance degradation model and solve for the corresponding cumulative flow. For the exponential decay model, i.e., solving:

[0113] ;

[0114] By rearranging terms and taking the logarithm, we get:

[0115] ;

[0116] Step 3: Calculate the remaining useful life, expressed as:

[0117] ;

[0118] in: For the remaining service life, The total cumulative flow through the filter element when the health index of the oil-water separator drops to the failure threshold. This represents the current cumulative flow rate of the oil-water separator.

[0119] Because changes in fuel temperature affect fuel viscosity, which in turn affects the differential pressure sensor reading (increased viscosity leads to increased differential pressure) and water separation efficiency (reduced efficiency at low temperatures), and instantaneous flow rate changes directly affect differential pressure (increased flow rate leads to increased differential pressure) and water separation efficiency, without compensation, the same filter element will receive different health status assessments at different temperatures and flow rates, leading to misjudgments. For example, at low temperatures or high flow rates, the differential pressure reading will be too high, misjudging a healthy filter element as clogged; at high temperatures or low flow rates, the differential pressure reading will be too low, misjudging a clogged filter element as healthy.

[0120] Therefore, when calculating the health index Previously, it also included compensation for real-time pressure difference and real-time moisture content, specifically including:

[0121] Real-time differential pressure and real-time moisture content compensation usually involve temperature compensation first, followed by flow compensation using instantaneous flow rate, because temperature affects the essential properties of the fluid, while flow rate affects the flow state.

[0122] The real-time differential pressure compensation method specifically includes:

[0123] Based on the current fuel temperature For real-time pressure difference The compensation is expressed as follows:

[0124] ;

[0125] ;

[0126] in: The real-time pressure difference across the oil-water separator filter element. The pressure difference across the oil-water separator filter element after temperature compensation. Current fuel temperature The fuel viscosity at the following levels The reference viscosity at the reference temperature. Viscosity-temperature coefficient, Using the fuel reference temperature, this method converts the pressure difference to a value at the reference temperature, eliminating the influence of viscosity changes;

[0127] Based on the current instantaneous fuel flow rate Real-time pressure difference after temperature compensation The compensation is expressed as follows:

[0128] ;

[0129] in: The pressure difference across the oil-water separator filter element after flow compensation. The pressure difference across the two ends of the oil-water separator filter element after temperature compensation; The flow rate differential pressure characteristic index, This refers to the rated flow rate of the filter element; for a specific filter element, Typically between 1 (pure laminar flow) and 2 (pure turbulent flow), the typical value for a filter element is approximately 1.5–1.8; this method converts the pressure difference to the value at the rated flow rate, eliminating the influence of changes in operating conditions.

[0130] The real-time moisture content compensation method specifically includes:

[0131] Based on the current fuel temperature For real-time moisture content The temperature compensation is expressed as follows:

[0132] ;

[0133] ;

[0134] in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. It is the temperature efficiency factor, typically at low temperatures. <1, at high temperatures ≥1, The optimal temperature for fuel efficiency; The linear coefficient (unit: 1 / ℃) describes the linear trend of separation efficiency with temperature. The coefficient is a quadratic coefficient (unit: 1 / ℃²), which describes the curvature (non-linearity) of the separation efficiency as a function of temperature. This method converts the water content to the value at the reference temperature, thus eliminating the influence of viscosity changes.

[0135] Based on the current instantaneous fuel flow rate Real-time moisture content after temperature compensation The compensation is expressed as follows:

[0136] ;

[0137] in: The water content after flow compensation at both ends of the oil-water separator filter element. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. The factor that influences the flow rate on the separation efficiency is usually close to 1, but it will deviate from 1 under extreme flow rates, meaning the influence of flow rate can be ignored.

[0138] Compensation can eliminate the effects of temperature and flow rate changes on sensor readings, thus improving the health index. It accurately reflects the filter element's clogging level and separation efficiency, unaffected by operating conditions and the environment, enhancing system robustness: the compensated data is more stable, making... The curve is smooth and the trend is obvious, which is conducive to establishing an accurate performance degradation model and thus obtaining a reliable remaining lifetime. Predictive performance; achieving consistency across seasons and operating conditions: regardless of winter or summer, high or low speed, the evaluation standard after compensation is uniform, which enables the system to work reliably in various environments, reduce false alarm rate, avoid false alarms caused by changes in ambient temperature or engine operating conditions, reduce unnecessary maintenance, and improve user trust; extending filter life: through accurate evaluation, premature filter replacement can be avoided, enabling on-demand maintenance and saving costs.

[0139] According to real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies, specifically including:

[0140] Determine whether If satisfied If this occurs, a Level 3 warning will be triggered, a mandatory maintenance alarm will be activated, and engine power will be limited.

[0141] If not satisfied Then determine whether If satisfied If this occurs, a level two warning will be triggered, and the remaining lifespan will be displayed.

[0142] If it is not satisfied Then determine whether And predict remaining lifespan If the conditions for triggering a Level 1 warning are met, only the health index status information of the oil-water separator will be recorded. If the conditions are not met, no action is required, and monitoring will continue.

[0143] in: For warning thresholds, For absolute safety threshold, This is a warning value for remaining lifespan;

[0144] , The cumulative traffic volume is for a Level II warning.

[0145] Under the defined scenario, the following multi-level early warning and control strategies can be executed:

[0146] Level 3 warning: Regardless of the system's remaining lifespan How to predict the value? First, consider the current health index. Perform logical judgments, as long as it is below the absolute safety threshold. When the percentage reaches 20%, a red "forced maintenance" alarm light will immediately illuminate on the instrument display, forcing the user to perform maintenance.

[0147] Level 2 Warning: Current Health Index Greater than the absolute safety threshold (e.g., 20%), but if the predictive model shows its remaining lifespan... Below the warning value of remaining life (e.g., 2000 liters) The system must issue a warning in advance, illuminating the yellow "maintenance" indicator light on the dashboard, which will display specific details on the instrument display. This enables predictive maintenance, avoids unplanned downtime, and gives users ample time to prepare spare parts and schedule repairs.

[0148] Level 1 Alarm: If the predictive model indicates its remaining lifetime Higher than the remaining life warning value The current health index At the absolute safety threshold and warning threshold Between, the predictive model shows its remaining lifespan. Greater than the remaining life warning value (e.g., at 2000 liters) the dashboard indicator light does not illuminate, the system records and alerts in advance, and then enters the next cycle;

[0149] Example 2

[0150] like Figure 3 One embodiment shown provides an early warning device based on predicting the remaining lifespan of an oil-water separator, comprising:

[0151] The acquisition module is used to acquire the operating parameters of the oil-water separator in real time. The operating parameters include at least: the real-time pressure difference across the oil-water separator filter element, the real-time water content of the separated fuel, and the cumulative fuel flow rate since the last filter element replacement.

[0152] The health index module is used to calculate the real-time health index of the oil-water separator based on the operating parameters. ;

[0153] The prediction module is used to predict based on real-time health indices. Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ;

[0154] The execution module is used to determine the health index based on real-time data. and / or predicted remaining useful life Implement corresponding early warning or control strategies.

[0155] The acquisition module includes a sensor array consisting of a differential pressure sensor, a moisture sensor, a temperature sensor, and a flow sensor.

[0156] Differential pressure sensor: Installed between the inlet and outlet of the oil-water separator to monitor the real-time differential pressure across the filter element.

[0157] Moisture sensor: Installed in the fuel line downstream of the separator, it monitors the real-time water content of the fuel.

[0158] Temperature sensor: monitors fuel temperature;

[0159] Flow sensor: monitors instantaneous and cumulative fuel flow.

[0160] The health index module, prediction module, and execution module constitute the engine ECU. The engine ECU receives all sensor signals, has a built-in remaining life prediction algorithm logic, and performs calculations, judgments, and outputs control commands.

[0161] It also includes an execution and human-machine interaction unit consisting of dashboard warning lights and a display, used to output information such as the remaining life percentage of the oil-water separator and maintenance warnings.

[0162] Example 3

[0163] This embodiment provides an early warning system based on predicting the remaining lifespan of an oil-water separator, including:

[0164] Memory, used to store computer programs / instructions;

[0165] A processor is used to execute the computer program / instructions to implement the steps of the above-described early warning method based on predicting the remaining life of an oil-water separator.

[0166] Example 4

[0167] This embodiment provides a computer-readable storage medium storing a computer program / instructions thereon. When the computer program / instructions are executed by a processor, they implement the steps of the aforementioned early warning method based on predicting the remaining lifespan of an oil-water separator.

[0168] Example 5

[0169] This embodiment provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the aforementioned early warning method based on predicting the remaining lifespan of an oil-water separator.

[0170] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0171] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0172] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0173] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0174] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for early warning based on predicting the remaining lifespan of an oil-water separator, characterized in that, include: Real-time acquisition of oil-water separator operating parameters, including at least: real-time pressure difference across the oil-water separator filter element, real-time water content of the separated fuel, and cumulative fuel flow rate since the last filter element replacement; Calculate the real-time health index of the oil-water separator based on the operating parameters. ; According to real-time health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ; According to real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies.

2. The early warning method based on predicting the remaining lifespan of an oil-water separator according to claim 1, characterized in that, The real-time health index of the oil-water separator is calculated based on the operating parameters. Specifically, it includes: ； ； in: This refers to the real-time health index of the oil-water separator. The pressure difference across the filter element of the normalized oil-water separator. To normalize the water content of the fuel after passing through the oil-water separator, This represents the cumulative fuel flow rate since the last filter replacement. This refers to the cumulative flow rate of the filter element under standard conditions during its rated lifespan. These are the weighting coefficients.

3. The early warning method based on predicting the remaining lifespan of an oil-water separator according to claim 2, characterized in that, The pressure difference across the filter element of the normalized oil-water separator The calculation expression is: ； in: The real-time pressure difference across the oil-water separator filter element. This represents the initial pressure difference across the two ends of a brand new oil-water separator filter element at rated flow. This refers to the maximum permissible pressure difference across the oil-water separator filter element. The normalized fuel water content after passing through the oil-water separator The calculation expression is: ； in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This represents the initial water content of a brand new oil-water separator filter element under normal operating conditions. This represents the maximum permissible moisture content allowed by the system.

4. The early warning method based on predicting the remaining lifespan of an oil-water separator according to claim 2, characterized in that, According to the health index Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. Specifically, it includes: Step 1: Based on health index With cumulative fuel flow Based on the changes, a performance degradation model is established, expressed as: ； in: To accumulate traffic, This corresponds to the health index based on cumulative traffic. For scale parameters, For the attenuation rate parameter, For asymptotic parameters; Step 2: Set the health index failure threshold The health index was obtained by extrapolation from the performance degradation model and decreased to [a certain value]. Total cumulative flow corresponding to the time The expression is: ； Step 3: Calculate the remaining useful life, expressed as: ； in: For the remaining service life, The total cumulative flow through the filter element when the health index of the oil-water separator drops to the failure threshold. This represents the current cumulative flow rate of the oil-water separator.

5. The early warning method based on predicting the remaining lifespan of an oil-water separator according to claim 2 or 3, characterized in that, In calculating the health index Previously, it also included compensation for real-time pressure difference and real-time moisture content, specifically including: The real-time differential pressure compensation method specifically includes: Based on the current fuel temperature For real-time pressure difference The compensation is expressed as follows: ； ； in: The real-time pressure difference across the oil-water separator filter element. The pressure difference across the oil-water separator filter element after temperature compensation. Current fuel temperature The fuel viscosity at the following levels The reference viscosity at the reference temperature. Viscosity-temperature coefficient, This is the reference temperature for fuel. Based on the current instantaneous fuel flow rate Real-time pressure difference after temperature compensation The compensation is expressed as follows: ； in: The pressure difference across the oil-water separator filter element after flow compensation. The pressure difference across the oil-water separator filter element after temperature compensation. The flow rate differential pressure characteristic index, This refers to the rated flow rate of the filter element; The real-time moisture content compensation method specifically includes: Based on the current fuel temperature For real-time moisture content The temperature compensation is expressed as follows: ； ； in: This refers to the real-time water content of the fuel after passing through the oil-water separator. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. It is the temperature efficiency factor. The optimal temperature for fuel efficiency. The coefficients are linear. The coefficient is a quadratic coefficient; Based on the current instantaneous fuel flow rate Real-time moisture content after temperature compensation The compensation is expressed as follows: ； in: The water content after flow compensation at both ends of the oil-water separator filter element. This refers to the water content of the fuel after temperature compensation following the oil-water separator process. The flow rate is a factor affecting the separation efficiency.

6. The early warning method based on predicting the remaining lifespan of an oil-water separator according to claim 4, characterized in that, According to real-time health index and / or predicted remaining useful life Implement corresponding early warning or control strategies, specifically including: Determine whether If satisfied If this occurs, a Level 3 warning will be triggered, a mandatory maintenance alarm will be activated, and engine power will be limited. If not satisfied Then determine whether If satisfied If this occurs, a level two warning will be triggered, and the remaining lifespan will be displayed. If it is not satisfied Then determine whether And predict remaining lifespan If the conditions for triggering a Level 1 warning are met, only the health index status information of the oil-water separator will be recorded; otherwise, no action is required. in: For warning thresholds, For absolute safety threshold, This is the warning value for remaining lifespan.

7. An early warning device based on predicting the remaining lifespan of an oil-water separator, characterized in that, include: The acquisition module is used to acquire the operating parameters of the oil-water separator in real time. The operating parameters include at least: the real-time pressure difference across the oil-water separator filter element, the real-time water content of the separated fuel, and the cumulative fuel flow rate since the last filter element replacement. The health index module is used to calculate the real-time health index of the oil-water separator based on the operating parameters. ; The prediction module is used to predict based on real-time health indices. Based on the correlation between the oil-water separator and the cumulative fuel flow rate, a performance degradation model is constructed, and the remaining service life of the oil-water separator is predicted based on this degradation model. ; The execution module is used to determine the health index based on real-time data. and / or predicted remaining useful life Implement corresponding early warning or control strategies.

8. An early warning system based on predicting the remaining lifespan of an oil-water separator, characterized in that, include: Memory, used to store computer programs / instructions; A processor for executing the computer program / instructions to implement the steps of the early warning method based on predicting the remaining life of an oil-water separator as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the early warning method based on predicting the remaining life of an oil-water separator as described in any one of claims 1-6.

10. A computer program product comprising a computer program / instructions, characterized in that, When executed by a processor, the computer program / instruction implements the steps of the early warning method based on predicting the remaining life of an oil-water separator as described in any one of claims 1-6.

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