Marine diesel engine small-hole-channel efficient oil removal system based on microjet impact technology
By dynamically adjusting the microjet parameters and setting a safe operating range, the problem of insufficient precision of traditional microjet impact technology in oil removal from small channels of marine diesel engines has been solved, achieving efficient and stable oil removal results.
Patent Information
- Application Number
- CN202511103538.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-07
- Publication Date
- 2025-11-14
AI Technical Summary
Traditional micro-jet impact technology is difficult to adjust precisely according to the real-time oil removal effect and oil sludge state in small-channel oil removal of marine diesel engines, resulting in unsatisfactory oil removal effect and failing to meet the requirements of high-efficiency oil removal.
The oil removal equipment deployment module, microjet parameter acquisition module, oil removal effect analysis module, and automatic oil removal execution module, which are connected through the control center, enable dynamic parameter adjustment and safe operating range setting, ensuring the matching and real-time adaptability of microjet parameters with small channels.
It improves the efficiency and effectiveness of oil removal, avoids equipment damage, ensures the stability and reliability of the system, and achieves a highly efficient oil removal process.
Smart Images

Figure CN120946449A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of diesel engine maintenance technology, specifically to a high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology. Background Technology
[0002] As a core component of a ship's power system, the stability and reliability of marine diesel engines are crucial for the safe navigation and efficient operation of vessels. During long-term operation, oil stains easily accumulate in the small orifice areas of marine diesel engines. These oil stains not only alter the geometry and surface roughness of the orifices, affecting fuel injection and atomization, leading to incomplete combustion and reduced thermal efficiency and power output, but also increase friction and wear between components, shortening equipment lifespan and increasing maintenance costs and downtime.
[0003] Microjet impact technology, as an emerging cleaning technology, boasts advantages such as high cleaning precision, no mechanical damage, and environmental friendliness, and is gradually gaining widespread application in the field of precision cleaning. This technology utilizes high-speed microjet streams to impact the surface of objects, removing surface dirt and impurities through the kinetic energy and impact force of the jets. However, in practical applications of oil removal from small channels in marine diesel engines, due to the complex structure of the channels, uneven distribution of oil, and variable conditions, traditional microjet impact technology uses fixed parameters for oil removal operations. This makes it difficult to precisely adjust the parameters based on real-time oil removal effects and oil condition, resulting in unsatisfactory oil removal results and failing to meet the high-efficiency oil removal requirements of small channels in marine diesel engines. Summary of the Invention
[0004] The purpose of this invention is to provide a high-efficiency oil removal system for small channels of marine diesel engines based on microjet impact technology, so as to solve the problems mentioned in the background art.
[0005] The present invention achieves the above objectives through the following technical solutions: To achieve the above objectives, the present invention provides the following technical solution: a high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology, comprising a control center, wherein the control center is communication-connected to: The oil removal equipment deployment module acquires micro-jet nozzles to form nozzle groups, calculates the matching degree between the nozzle groups and the small channels, and filters target nozzles according to the matching degree; The micro-jet parameter acquisition module collects the micro-jet parameters of the target nozzle, including impact pressure F, jet flow rate Q, and oil contamination status parameters of the inner wall of the channel, including oil contamination thickness H and oil contamination adhesion density ρ. It binds the channel number with the micro-jet parameters and the oil contamination status parameters of the inner wall of the channel to generate an associated parameter set. The oil removal effect analysis module receives a set of related parameters, establishes a fusion model through data fusion, and calculates the oil removal rate R through the fusion model. The automatic oil removal module includes a parameter adjustment unit and an oil removal execution unit. The parameter adjustment unit reads the oil removal rate R, calculates the difference ΔR and initial parameter correction values ΔF and ΔQ based on the preset target removal rate R0, and optimizes and generates a dynamic parameter correction value ΔF by combining the oil adhesion density ρ. 修正 and ΔQ 修正 The oil removal unit reads the dynamic parameter correction value ΔF. 修正 and ΔQ 修正 And adjust the target operating parameter F of the target nozzle accordingly. 目 Q 目 Real-time comparison of microjets F and Q with the preset safe operating range F 安全 Q 安全 When the deviation exceeds the safe range, the F and Q parameters of the target nozzle are reduced to safe values, and after troubleshooting, they are adjusted to the target working parameters.
[0006] Optionally, the oil removal equipment deployment module includes an equipment selection unit, which is used to obtain a suitable micro-jet nozzle. The process includes: selecting a micro-jet oil removal equipment based on the duct parameters of the small channel of the marine diesel engine, and obtaining a suitable micro-jet nozzle, denoted as nozzle group S.
[0007] The equipment selection unit selects micro-jet oil removal equipment based on the duct parameters of the small channels of marine diesel engines, and obtains suitable micro-jet nozzles. This selection method based on actual parameters can ensure that the selected equipment has good compatibility with the small channels, providing a foundation for subsequent efficient oil removal and avoiding problems such as poor oil removal effect or equipment damage caused by equipment mismatch.
[0008] Optionally, the oil removal equipment deployment module also includes a channel adaptation unit. This unit calculates the matching degree between the nozzle group and the small channel, and selects target nozzles based on the matching degree. The process includes: calculating the matching degree P between the nozzle group S and the small channel based on the channel parameters, and selecting target nozzles based on a matching degree P ≥ 85%. The target nozzle is denoted as S. 目标 .
[0009] The orifice adaptation unit calculates the matching degree P between the nozzle group S and the small orifice, and selects target nozzles according to the standard of matching degree P≥85%, which further improves the adaptation accuracy between the equipment and the small orifice, ensuring that the target nozzles can play the best oil removal effect in the small orifice, and improving oil removal efficiency and quality.
[0010] Optionally, the microjet parameter acquisition module includes a real-time monitoring unit, which is used to acquire the microjet parameters of the target nozzle and the oil stain status parameters of the inner wall of the channel.
[0011] The real-time monitoring unit can collect the micro-jet parameters of the target nozzle and the oil stain status parameters of the inner wall of the channel in real time, providing accurate and timely data support for subsequent data analysis and oil removal control. Real-time monitoring can keep track of the changes of various parameters during the oil removal process, so as to adjust the oil removal strategy according to the actual situation.
[0012] Optionally, the microfluidic parameter acquisition module also includes a parameter association unit, which is used to bind the channel number with the corresponding acquired parameter to generate an associated parameter set.
[0013] The parameter association unit binds the channel number with the corresponding collected parameters to generate an associated parameter set. This association method ensures that the oil removal parameters of each channel have a clear correspondence, which facilitates independent analysis and control of the oil removal status of different channels, thereby improving the system's management efficiency and the accuracy of data analysis.
[0014] Optionally, the oil removal effect analysis module receives a set of related parameters, establishes a fusion model through data fusion, and calculates the oil removal rate R through the fusion model, including: Obtain the initial oil thickness H0 from the set of associated parameters; Establish a fusion model to integrate the currently acquired microjets F 采 and Q 采 Input the fusion model and output the real-time oil stain thickness. and real-time oil stain adhesion density ; Combining the initial oil sludge thickness H0 and the real-time oil sludge thickness output by the fusion model Calculate the removal rate R.
[0015] The process of establishing the fusion model includes: Different microjets (F1-Q1, F2-Q2...FQ) were set in the same channel, and the oil thickness H and oil adhesion density ρ were recorded at any time under the corresponding parameters. t ; Collect historical data, using F and Q from the historical data as input features, H t and ρ t To output the labels, a fusion model is trained using a multiple linear regression algorithm, yielding the fusion model formula: H = a1 × F + a2 × Q + b1; ρ t =c1×F+c2×Q+b2; In the above formula, a1 and a2 are the regression coefficients of H, and c1 and c2 are the ρ coefficients. t The regression coefficients are b1 and b2, which are constant terms.
[0016] The oil removal effect analysis module receives a set of related parameters, performs data fusion to generate comprehensive oil removal data, and establishes a fusion model to calculate the oil removal rate. It can comprehensively consider the impact of multiple parameters on the oil removal effect. By establishing a scientific model, it accurately calculates the oil removal rate, providing an objective basis for evaluating the oil removal effect and adjusting the oil removal parameters, which helps to achieve precise control of the oil removal process.
[0017] Optionally, the process by which the parameter adjustment unit reads the oil removal rate R and calculates the difference ΔR and initial parameter correction values ΔF and ΔQ based on the preset target removal rate R0 includes: Read the oil removal rate R, compare R with the preset target removal rate R0, and calculate the difference ΔR, where ΔR = R0 - R; The initial parameter correction values are calculated based on the difference ΔR. These correction values include the initial impact pressure correction ΔF and the initial jet flow rate correction ΔQ. Initial impact pressure correction ΔF = ΔR × 0.8 × F 基准 ; Initial jet flow rate correction ΔQ = ΔR × 0.6 × Q 基准 ; Among them, F 基准 Q 基准 These are the initial standard parameters.
[0018] Optionally, the process by which the parameter adjustment unit generates dynamic parameter correction values ΔF and ΔQ includes: Based on the oil removal rate R and the difference ΔR, and combined with the oil adhesion density ρ in the oil state parameters of the pore inner wall, a dynamic correction strategy is formulated by setting a preset oil density threshold ρ0. When ρ≥ρ0, the correction factor is automatically increased: ΔF 修正 For ΔF×1.2, ΔQ 修正 It is ΔQ×1.1; When ρ < ρ0, the original correction coefficient is maintained.
[0019] The parameter adjustment unit reads the oil removal rate and compares it with the preset target to calculate the difference, thereby obtaining the initial parameter correction value. It also combines the oil adhesion density to formulate a dynamic correction strategy to generate dynamic parameter correction values. This series of operations can accurately and flexibly adjust the microjet parameters according to the actual oil removal effect and oil condition, making the oil removal process highly adaptable to different working conditions and effectively improving oil removal efficiency and quality.
[0020] Optionally, the process by which the oil removal unit adjusts the target operating parameters of the target nozzle includes: Read the dynamic parameter correction value (ΔF) generated by the parameter adjustment unit. 修正 ΔQ 修正 According to ΔF 修正 ΔQ修正 Adjust the target nozzle S 目标 The target operating parameters are given by the following formula: Target pressure F 目 =F 基准 +ΔF 修正 ; Target traffic Q 目 =Q 基准 +ΔQ 修正 .
[0021] Optionally, the process by which the degreasing unit reduces the F and Q values of the target nozzle to safe values includes: Preset safe operating range F 安全 and Q 安全 ; Real-time reception of microjets from the microjets parameter acquisition module, including F... 采 and Q 采 ; F 采 and Q 采 With F 安全 and Q 安全 For comparison, when F 采 and Q 采 When the preset safe operating range is exceeded, the F and Q values of the target nozzle will be automatically reduced to safe values.
[0022] The oil removal unit precisely adjusts the working parameters of the target nozzle based on the dynamic parameter correction value given by the parameter adjustment unit to achieve efficient oil removal. At the same time, it monitors the micro-jet parameters in real time and compares them with the safe range. When the parameters are abnormal, it automatically reduces the F and Q of the target nozzle to the safe value. After the fault is eliminated, the target parameters are restored, which not only ensures the oil removal effect, but also ensures the safe and stable operation of the equipment and system.
[0023] The beneficial effects of this invention are as follows: 1. The automatic oil removal execution module includes a parameter adjustment unit and an oil removal execution unit. The parameter adjustment unit calculates the difference between the oil removal rate and the preset target removal rate, and then calculates the correction value of the micro-initial jet parameters. It also dynamically optimizes the correction value based on the oil adhesion density to generate dynamic parameter correction values that better meet actual needs. This dynamic adjustment method can accurately adjust the micro-jet parameters according to the real-time oil removal effect and oil status, effectively solving the problems of "over-impact damage to the channel" or "under-impact incomplete oil removal" in traditional fixed parameter oil removal, thus improving oil removal efficiency and effect. The oil removal execution unit presets a safe operating range and compares the received micro-jet parameters with the safe operating range in real time. When the deviation exceeds the safe range, it automatically reduces the impact pressure and jet flow rate of the target nozzle to the safe value. After the fault is eliminated, it is adjusted back to the target parameters. This safety guarantee mechanism can take timely measures when the equipment is abnormal, avoiding damage to the equipment and small channels due to parameter abnormalities. At the same time, it creates a buffer space for fault self-healing or manual intervention, improving the stability and reliability of the system. 2. The system ensures hardware compatibility by selecting and deploying compatible nozzles through an oil removal equipment deployment module; comprehensively collects and correlates key parameters through a micro-jet parameter acquisition module, providing detailed data for subsequent analysis; utilizes a fusion model to calculate the oil removal rate and quantitatively evaluate the oil removal effect; and dynamically optimizes micro-jet parameters based on the analysis results, achieving adaptive adjustment of density, pressure, and flow rate, effectively solving traditional oil removal problems. Simultaneously, it presets a safe operating range to ensure system stability and reliability, comprehensively improving oil removal efficiency and quality. Attached Figure Description
[0024] Figure 1 A flowchart of Embodiment 1 provided by the present invention; Figure 2 A flowchart of Embodiment 2 provided by the present invention; Figure 3 The flowchart is shown for the automatic degreasing execution module provided by the present invention. Detailed Implementation
[0025] The present application will now be described in further detail with reference to the accompanying drawings. It should be noted that the following specific embodiments are only used to further illustrate the present application and should not be construed as limiting the scope of protection of the present application. Those skilled in the art can make some non-essential improvements and adjustments to the present application based on the above application content.
[0026] Example 1 Refer to the instruction manual appendix Figure 1 and Figure 3This embodiment discloses a high-efficiency oil removal system for small channels of marine diesel engines based on micro-jet impact technology, including a control center. The control center is communicatively connected to an oil removal equipment deployment module, a micro-jet parameter acquisition module, an oil removal effect analysis module, and an automatic oil removal execution module.
[0027] The oil removal equipment deployment module includes an equipment selection unit and a duct adaptation unit.
[0028] The equipment selection unit is used to select micro-jet oil removal equipment based on the orifice parameters of the small orifice of the marine diesel engine, including orifice diameter D (unit: mm) and orifice length L (unit: mm), and obtain micro-jet nozzles, denoted as nozzle group S. The nozzle group S contains n nozzles of different diameters (S1, S2, ..., S, where n is a natural number greater than 0). The parameters of the nozzles include nozzle orifice diameter d (unit: mm) and the rated maximum range Rmax (unit: mm) corresponding to each nozzle. The orifice adaptation unit is used to calculate the matching degree P between the nozzle group S and the small orifice based on the orifice parameters. P = (nozzle diameter matching degree × 40% + material compatibility × 30% + range matching degree × 30%) × 100%, and selects target nozzles based on the matching degree P ≥ 85%. The target nozzle is denoted as S. 目标 Complete the deployment of the microjet oil removal equipment in the corresponding area of the small channel.
[0029] For example, consider a small orifice in a marine diesel engine with the following parameters: orifice diameter D = 5 mm, orifice length L = 30 mm. A suitable micro-jet nozzle needs to be selected from nozzle group S. One candidate nozzle has the following parameters: nozzle diameter d = 1.6 mm, maximum range R... max =35mm, then: Nozzle diameter fit = 1 - |dD / 3| / (D / 3) = 0.96 (Note: Ideal nozzle diameter ≈ D / 3); Range adaptability = min(Rmax,L) / L = min(35,30) / 30 = 1; P = (nozzle diameter fit × 60% + range fit × 40%) × 100% = (0.72 × 60% + 1 × 40%) × 100% = 97.6%; Therefore, the matching degree P of this nozzle is 97.6%, which is greater than the system's set threshold of 85%, and it can be selected as the target nozzle for oil removal operations in this small channel. If multiple candidate nozzles exist simultaneously, the one with the highest P value will be selected.
[0030] The microjet parameter acquisition module includes a real-time monitoring unit and a parameter correlation unit.
[0031] The real-time monitoring unit is used to activate the target nozzle S 目标The microjets were subjected to impact testing, and microjets parameters were collected, including impact pressure F, jet flow rate Q, and oil contamination parameters on the inner wall of the channel. The oil contamination parameters included oil thickness H and oil adhesion density ρ. The oil thickness H was acquired using an endoscope, and ρ was calculated using image grayscale values. The calculation formula is as follows: ρ = Average gray value of oily area ÷ Background gray value × ρ0 Wherein, ρ0 is the standard density reference value; The parameter association unit is used to bind the channel number K (K=1,2,...,m, where m is the total number of small channels) with the corresponding collected microjet parameters and oil stain status parameters to generate the associated parameter set D[K]={F,K;Q,K;H,K;ρ,K}.
[0032] The oil removal effect analysis module receives the associated parameter set D[K], fuses the associated parameters of different channels to establish a fusion model, and calculates the oil removal rate R through the fusion model. The process of establishing the fusion model includes: using microjets as the fusion basis and oil state parameters as the fusion target, and establishing the fusion model as follows: (i) Obtain the initial oil stain thickness H0 The initial oil thickness H0 is the original oil thickness on the inner wall of the small channel before the microjet degreasing operation begins, which is obtained by endoscopic sampling.
[0033] (ii) Establish a fusion model to obtain the real-time oil thickness H at any given time. Different microjets (F1-Q1, F2-Q2...FQ) were set in the same channel, and the oil thickness H and oil adhesion density ρ were recorded at any time under the corresponding parameters. t Let them be denoted as H. t1 H t2 ...H tn and ρ t1 ρ t2 ...ρ tn ; Collect historical data, using F and Q from the historical data as input features, H t and ρ t To output the labels, a fusion model is trained using a multiple linear regression algorithm, resulting in the model formula: H = a1 × F + a2 × Q + b1; ρ t =c1×F+c2×Q+b2; Where a1 and a2 are the regression coefficients of H, and c1 and c2 are the ρ coefficients. t The regression coefficients are b1 and b2, which are constant terms.
[0034] In the actual oil removal process, real-time acquisition of current microjets, including F... 采 and Q 采 Input the fusion model and output the real-time oil stain thickness. and real-time oil stain adhesion density .
[0035] The oil removal rate R is calculated using this model, combining the initial oil thickness H0 and the real-time oil thickness output by the model. Calculate the removal rate R using the following formula: R = (H0 - H) 实 ) ÷ H0 × 100%.
[0036] For example: If H0 = 0.5 mm, and the current F = 0.8 MPa and Q = 2 L / min are input into the model, then H0 is obtained. 实 =0.15mm, then R=(0.5-0.15)÷0.5×100%=70%.
[0037] The automatic degreasing module includes a parameter adjustment unit and a degreasing execution unit.
[0038] The parameter adjustment unit calculates the difference ΔR between the oil removal rate R generated by the oil removal effect analysis module and the preset target removal rate R0, and combines the initial standard parameter (F) with the value of ΔR. 基准 Q 基准 The initial parameter correction values ΔF and ΔQ are calculated, and the oil adhesion density ρ obtained from the microjets parameter acquisition module is used to dynamically optimize the initial parameter correction values, generating a dynamic parameter correction value ΔF. 修正 ΔQ 修正 Specifically, it includes the following steps: Read the oil removal rate R, compare R with the preset target removal rate R0 (R0≥95%), and calculate the difference ΔR. The formula for calculating ΔR is as follows: ΔR = R0 - R; The initial parameter correction values are calculated based on ΔR. These correction values include the initial impact pressure correction ΔF and the initial jet flow rate correction ΔQ. Initial impact pressure correction ΔF = ΔR × 0.8 × F 基准 ; Initial jet flow rate correction ΔQ = ΔR × 0.6 × Q 基准 ; Among them, F 基准 Q 基准 These are the initial standard parameters.
[0039] Based on the oil removal rate R and ΔR, and combined with the oil adhesion density ρ in the oil state parameters of the pore inner wall, a dynamic correction strategy is formulated by setting a preset oil density threshold ρ0. When ρ≥ρ0, the correction factor is automatically increased: ΔF 修正 For ΔF×1.2, ΔQ 修正 With a value of ΔQ×1.1, the impact effect on high-density oil stains is enhanced; When ρ < ρ0, maintain the original correction coefficient to avoid wasting energy; It achieves the linkage and adaptive adjustment of "density-pressure-flow rate", solving the problems of "over-impact damage to the channels" or "under-impact incomplete oil removal" in traditional fixed parameter oil removal.
[0040] The oil removal execution unit is used to read the dynamic parameter correction value of the parameter adjustment unit and adjust the target operating parameters of the target nozzle according to the correction value. It compares the real-time received micro-jet parameters with the preset safe operating range. When the deviation exceeds the safe range, the F and Q of the target nozzle are reduced to the safe value. After the fault is cleared, the parameters are adjusted back to the target operating parameters. The specific steps include: Read the dynamic parameter correction value (ΔF) of the parameter adjustment unit. 修正 ΔQ 修正 ), based on the dynamic parameter correction value (ΔF) 修正 ΔQ 修正 Adjust the target nozzle S 目标 The target operating parameters are given by the following formula: Target pressure F 目 =F 基准 +ΔF 修正 ; Target traffic Q 目 =Q 基准 +ΔQ 修正 ; Preset safe operating range F 安全 and Q 安全 , of which F 安全 ∈[F 基准 ×80%, F 基准 [×120%], Q 安全 ∈[Q 基准 ×80%, Q 基准 [×120%], the microfluidic parameters received in real time from the microfluidic parameter acquisition module include F 采 and Q 采 and combine this parameter with F 安全 and Q 安全 By comparison, when this parameter exceeds the preset safe operating range, the F and Q values of the target nozzle are automatically reduced to a safe value (F). 安 =F 基准 ×50%, Q 安 =Q 基准 (×50%) until the microjet parameters return to the safe operating range. It should be noted that the real-time running parameters (F) 采 Q 采 ) decreased to a safe value (F) 安 Q 安 Essentially, this creates a buffer space for the system to self-heal or be manually intervened by "forcibly reducing the spray intensity". For example, if the fault is that the nozzle is partially blocked, the impact of the medium on the blockage is reduced when spraying at low intensity. The blockage may gradually fall off with the flow of the medium, and the parameters will gradually return to normal.
[0041] The system ensures hardware compatibility by selecting and deploying compatible nozzles through an oil removal equipment deployment module; comprehensively collects and correlates key parameters through a micro-jet parameter acquisition module, providing detailed data for subsequent analysis; utilizes a fusion model to calculate the oil removal rate and quantitatively evaluate the oil removal effect; and dynamically optimizes micro-jet parameters based on the analysis results, achieving adaptive adjustment of density, pressure, and flow rate, effectively solving traditional oil removal problems. Simultaneously, it presets a safe operating range to ensure system stability and reliability, comprehensively improving oil removal efficiency and quality.
[0042] Example 2 Refer to the instruction manual appendix Figure 2 The marine diesel engine small-channel high-efficiency oil removal system based on micro-jet impact technology also includes a fault handling module. The fault handling module is used to monitor the operating status of the micro-jet system in real time, detect abnormalities in a timely manner and issue early warnings to ensure the stable operation of the system.
[0043] The fault handling module includes a status diagnosis unit and an early warning threshold unit.
[0044] The status diagnosis unit receives the microjets from the microjets parameter acquisition module, calculates the fluctuation coefficient δ between the core parameter and the standard parameter, and transmits δ to the early warning threshold unit. The specific workflow is as follows: Receive micro-jet parameters from the micro-jet parameter acquisition module, including impact pressure F and jet flow rate Q; The deviation ratio of these parameters from the standard parameters, i.e., the fluctuation coefficient δ, is calculated as follows: δ = (Real-time parameter - Standard parameter) / Standard parameter × 100%; For example, if the standard pressure F0 = 1 MPa and the real-time pressure F1 = 1.15 MPa, then δ = (1.15 - 1) / 1 × 100% = +15%; If the real-time pressure F2 = 0.8 MPa, then δ = (0.8 - 1) / 1 × 100% = -20%.
[0045] The calculated δ value is passed to the early warning threshold unit as a basis for judging whether the system is abnormal.
[0046] The early warning threshold unit receives the fluctuation coefficient δ and compares it with the preset fluctuation threshold δ0. The specific workflow is as follows: Preset fluctuation threshold δ0 (δ0=±15%), compare δ with δ0: If δ∈[δ0] 下限 ,δ0 上限 If the condition is determined to be normal, the system continues to run without triggering a warning. If δ∉[δ0] 下限 ,δ0 上限 The system generates fault warning information, which includes the type of abnormal parameter, the channel number K, and the recommended downtime for inspection. The recommended downtime for inspection depends on the degree of parameter deviation, as follows: Slight deviation (e.g., δ∈[-15%,-10%] or [+10%,+15%]): may prompt "Attention required, it is recommended to check during the next maintenance"; Moderate deviation (e.g., δ∈[-20%,-15%) or (+15%,+20%)): prompts "System needs to be shut down for inspection soon"; Significant deviation (e.g., δ < -20% or δ > +20%): Triggers "Immediate Stop" to prevent the fault from escalating.
[0047] For example, when the standard pressure F0 = 1 MPa, the real-time pressure F2 = 0.8 MPa, and the calculated δ = -20%, the following fault warning message will be generated: "Pressure fluctuation exceeds the threshold (too low), K = 5 (assuming the pressure data comes from the 5th channel), and the machine needs to be shut down for inspection soon."
[0048] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.
Claims
1. A high-efficiency oil removal system for small channels in marine diesel engines based on micro-jet impact technology, comprising a control center, characterized in that, The control center has the following communication connections: The oil removal equipment deployment module acquires micro-jet nozzles to form nozzle groups, calculates the matching degree between the nozzle groups and the small channels, and filters target nozzles according to the matching degree; The micro-jet parameter acquisition module collects the micro-jet parameters of the target nozzle, including impact pressure F, jet flow rate Q, and oil contamination status parameters of the inner wall of the channel, including oil contamination thickness H and oil contamination adhesion density ρ. It binds the channel number with the micro-jet parameters and the oil contamination status parameters of the inner wall of the channel to generate an associated parameter set. The oil removal effect analysis module receives a set of related parameters, establishes a fusion model through data fusion, and calculates the oil removal rate R through the fusion model. The automatic oil removal module includes a parameter adjustment unit and an oil removal execution unit. The parameter adjustment unit reads the oil removal rate R, calculates the difference ΔR and initial parameter correction values ΔF and ΔQ based on the preset target removal rate R0, and optimizes and generates a dynamic parameter correction value ΔF by combining the oil adhesion density ρ. 修正 ΔQ 修正 The oil removal unit reads the dynamic parameter correction value ΔF. 修正 ΔQ 修正 And adjust the target operating parameter F of the target nozzle accordingly. 目 Q 目 Real-time comparison of microjets F and Q with the preset safe operating range F 安全 Q 安全 When the deviation exceeds the safe range, the F and Q parameters of the target nozzle are reduced to safe values, and after troubleshooting, they are adjusted to the target working parameters.
2. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 1, characterized in that, The oil removal equipment deployment module includes an equipment selection unit, which is used to obtain a suitable micro-jet nozzle. The process includes: selecting a micro-jet oil removal equipment based on the duct parameters of the small channel of the marine diesel engine, and obtaining a suitable micro-jet nozzle, denoted as nozzle group S.
3. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 2, characterized in that, The oil removal equipment deployment module also includes a channel adaptation unit. This unit calculates the matching degree between the nozzle group and the small channel, and selects target nozzles based on the matching degree. The process includes: calculating the matching degree P between the nozzle group S and the small channel based on the channel parameters, and selecting target nozzles based on a matching degree P ≥ 85%. The target nozzle is denoted as S. 目标 .
4. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 1, characterized in that, The process of calculating the oil removal rate R using a fusion model includes: Obtain the initial oil thickness H0 from the set of associated parameters; Establish a fusion model to integrate the currently acquired microjets F 采 and Q 采 Input the fusion model and output the real-time oil stain thickness. and real-time oil stain adhesion density ; Combining the initial oil sludge thickness H0 and the real-time oil sludge thickness output by the fusion model Calculate the removal rate R.
5. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 4, characterized in that, The process of establishing a fusion model includes: Different microjets (F1-Q1, F2-Q2...FQ) were set in the same channel, and the oil thickness H and oil adhesion density ρ were recorded at any time under the corresponding parameters. t ; Collect historical data, using F and Q from the historical data as input features, H t and ρ t To output the labels, a fusion model is trained using a multiple linear regression algorithm, yielding the fusion model formula: H = a1 × F + a2 × Q + b1; ρ t =c1×F+c2×Q+b2; Where a1 and a2 are the regression coefficients of H, and c1 and c2 are the ρ coefficients. t The regression coefficients are b1 and b2, which are constant terms.
6. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 5, characterized in that, The process by which the parameter adjustment unit calculates the difference ΔR and the initial parameter correction values ΔF and ΔQ includes: Read the oil removal rate R generated by the oil removal effect analysis module, compare the oil removal rate R with the preset target removal rate R0, and calculate the difference ΔR, ΔR=R0-R; The initial parameter correction values are calculated based on ΔR. These correction values include the initial impact pressure correction ΔF and the initial jet flow rate correction ΔQ. ΔF=ΔR×0.8×F 基准 ; ΔQ=ΔR×0.6×Q 基准 ; Among them, F 基准 Q 基准 These are the initial standard parameters.
7. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 6, characterized in that, The parameter adjustment unit generates a dynamic parameter correction value ΔF. 修正 and ΔQ 修正 The process includes: Based on the oil removal rate R and the difference ΔR, and combined with the oil adhesion density ρ in the oil state parameters of the pore inner wall, a dynamic correction strategy is formulated by setting a preset oil density threshold ρ0. When ρ≥ρ0, the correction factor is automatically increased: ΔF 修正 For ΔF×1.2, ΔQ 修正 It is ΔQ×1.1; When ρ < ρ0, the original correction coefficient is maintained.
8. The high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 7, characterized in that, The process by which the oil removal execution unit adjusts the target operating parameters of the target nozzle includes: Read the dynamic parameter correction value (ΔF) generated by the parameter adjustment unit. 修正 ΔQ 修正 According to ΔF 修正 ΔQ 修正 Adjust the target nozzle S 目标 The target operating parameters are given by the following formula: Target pressure F 目 =F 基准 +ΔF 修正 ; Target traffic Q 目 =Q 基准 +ΔQ 修正 .
9. A high-efficiency oil removal system for marine diesel engines with small channels based on micro-jet impact technology according to claim 8, characterized in that, The process by which the degreasing unit reduces the F and Q values of the target nozzle to safe values includes: Preset safe operating range F 安全 and Q 安全 ; Real-time reception of microjets from the microjets parameter acquisition module, including F... 采 and Q 采 ; F 采 and Q 采 With F 安全 and Q 安全 For comparison, when F 采 and Q 采 When the preset safe operating range is exceeded, the F and Q parameters of the target nozzle are automatically reduced to safe values. After the fault is resolved, the F and Q parameters of the target nozzle are adjusted back to the target operating parameter F. 安全 Q 安全 .