CN117723109A - Intelligent monitoring system for internal combustion engine water liquid cleaning equipment - Google Patents

Abstract

The invention relates to the technical field of monitoring of cleaning equipment, in particular to an intelligent monitoring system for an internal combustion engine water liquid cleaning equipment, which comprises the following components: the water liquid cleaning device is used for cleaning the internal combustion engine; the sensing detection module is used for detecting physical quantity; the acquisition module is connected with the sensing detection module and used for acquiring physical quantity and converting the physical quantity to obtain sensing data; the central processing module is connected with the acquisition module and used for acquiring and processing the sensing data and controlling the start and stop of the water liquid cleaning equipment and the parameters of the water liquid cleaning equipment during operation after the start; the sensing detection module comprises an optical sensor which is arranged on a waste liquid collecting device of the water liquid cleaning equipment and used for acquiring optical characteristics of cleaning waste liquid, optical data are obtained after conversion, and the central processing module acquires and processes the optical data and is used for analyzing the cleaning effect of the internal combustion engine. The invention improves the cleaning operation efficiency, simplifies the operation flow, can monitor the cleaning cleanliness in real time and improves the cleaning effect of the internal combustion engine.

Description

Intelligent monitoring system for internal combustion engine water liquid cleaning equipment

Technical Field

The invention relates to the technical field of monitoring of cleaning equipment, in particular to an intelligent monitoring system for an internal combustion engine water liquid cleaning device.

Background

An internal combustion engine is an engine that uses combustion gas generated by direct combustion of fuel such as gasoline to obtain mechanical work. The cleaning of the internal combustion engine means that the internal combustion engine is cleaned at a designated period or according to conditions, and deposits on the air inlet channel, the air compressor and the turbine blades are removed to protect the blades, so that the influence of impurities in the air on the performance of the internal combustion engine is delayed or removed, the corroded degree of parts is reduced, and the design life and the reliability of the internal combustion engine are ensured. The cleaning requirement of the internal combustion engine is very high, the existing internal combustion engine cleaning equipment needs manual pressure and pressure regulation by an operator during operation, the efficiency is low, the operation is complex, and the judgment of the pressure and pressure regulation and the cleanliness in the cleaning process mainly depends on the experience and subjective judgment of the operator, so that whether the cleanliness of the cleaning reaches the expected effect is difficult to judge, and the cleaning effect of the internal combustion engine is further affected.

Disclosure of Invention

The invention aims to solve the technical problems that: the technical problems that the existing internal combustion engine cleaning equipment is low in efficiency, complex in operation and incapable of monitoring cleanliness are solved. The intelligent monitoring system for the internal combustion engine water liquid cleaning equipment provided by the invention has the advantages that the operation efficiency is improved, the operation flow is simplified, the cleaning cleanliness can be monitored in real time, and the cleaning effect is good.

The technical scheme adopted for solving the technical problems is as follows: an intelligent monitoring system for an internal combustion engine water wash apparatus, comprising:

the water liquid cleaning device is used for cleaning the internal combustion engine;

the sensing detection module is used for detecting physical quantity;

the acquisition module is connected with the sensing detection module and used for acquiring the physical quantity and converting the physical quantity to obtain sensing data after processing;

the central processing module is connected with the acquisition module and used for acquiring and processing the sensing data and controlling the start and stop of the water cleaning equipment and the parameters of the water cleaning equipment during working after the start based on the sensing data;

the sensing detection module comprises an optical sensor, wherein the optical sensor is arranged on a waste liquid collecting device of the water liquid cleaning equipment and is used for acquiring optical characteristics of cleaning waste liquid, optical data are acquired and converted through the acquisition module, and the central processing module is used for acquiring and processing the optical data and analyzing the cleaning effect of the internal combustion engine.

Further, specifically, the sensing detection module further comprises a temperature sensor, a pressure sensor and a humidity sensor;

the temperature sensor and the pressure sensor are both arranged at the outlet end of the water liquid cleaning equipment and used for detecting the temperature and the pressure of the outlet end of the water liquid cleaning equipment;

the humidity sensor is positioned between the internal combustion engine and the atomizing nozzle of the water liquid cleaning device during cleaning and is used for detecting the humidity of the surface environment of the internal combustion engine.

Further, specifically, the intelligent monitoring system further includes: the collecting module, the central processing module and the water liquid cleaning equipment are all connected with the communication module;

and the intelligent terminal equipment is connected with the communication module.

Further, specifically, the central processing module includes a storage unit for storing the sensing data and creating a data record and a history database.

Further, specifically, the central processing module further includes:

the filtering unit is used for acquiring the sensing data transmitted by the communication module and filtering the sensing data;

the denoising unit is connected with the filtering unit, acquires the filtered sensing data, and performs denoising processing to acquire smooth sensing data;

the feature extraction unit is connected with the denoising unit, acquires smooth sensing data and extracts feature information through the feature extraction unit;

and the detection and analysis unit is connected with the characteristic extraction unit, acquires the characteristic information, performs detection and analysis, acquires a cleaning decision of the internal combustion engine, and adjusts parameters of the water cleaning equipment in real time.

Further, in particular, the characteristic information includes one or more of temperature information, pressure information, humidity information, and optical information.

Further, specifically, the detection and analysis unit receives the temperature information in real time, and maintains the temperature of the cleaning liquid in the water cleaning device through a heating device or a cooling device based on the temperature information;

the detection and analysis unit receives the pressure information in real time, adjusts the flow speed of the cleaning liquid based on the pressure information, and maintains the pressure of the cleaning liquid in the water liquid cleaning equipment;

the detection and analysis unit receives the humidity information in real time, and adjusts the flow speed of the cleaning liquid and the pressure of the cleaning liquid based on the humidity information;

the detection and analysis unit receives the optical information in real time and analyzes the cleanliness of the internal combustion engine based on the optical information.

Further, in particular, the obtaining of the washing decision of the internal combustion engine comprises the steps of:

acquiring sensing data;

data processing, namely filtering and denoising the sensing data through the filtering unit and the denoising unit;

feature extraction is carried out on the processed sensing data through a feature extraction unit, so that key feature information of the working state of the internal combustion engine is obtained;

and comparing the extracted key features with an existing cleaning feature model library of the internal combustion engine to obtain a cleaning decision for cleaning the internal combustion engine.

Further, specifically, in the cleaning decision step, the result of the cleaning decision is calculated by setting the feature model parameters and the priorities.

Further, specifically, the cleaning effect analysis of the internal combustion engine includes the steps of:

s1, data acquisition: acquiring sensing data of the internal combustion engine and the water-liquid cleaning equipment;

s2, data processing: cleaning and preprocessing the sensing data;

s3, feature engineering: extracting feature information through feature engineering according to the object of the problem;

s4, model selection and training: classifying and regressing according to the problem types to determine a machine learning model;

s5, model evaluation and improvement: evaluating the model, and improving the model according to an evaluation result;

s6, cleaning effect decision: and according to the model obtained by training, making a decision on new input data to obtain a cleaning result.

The intelligent monitoring system for the internal combustion engine water liquid cleaning equipment has the beneficial effects that the intelligent monitoring system for the internal combustion engine water liquid cleaning equipment can be connected and communicated with the sensing detection module through the central processing module to acquire real-time monitoring and recording of key sensing data. The central processing module has the capability of storing and processing data. The method can store the collected data and establish a data record and a historical database. Meanwhile, the central processing module processes and analyzes the collected data, such as processing steps of calculation, filtering, aggregation and the like, so as to control the water liquid cleaning equipment and adjust the parameters of the water liquid cleaning equipment during working, thereby realizing the functions of real-time monitoring, cleaning effect evaluation, remote control and optimization and data driving decision. Compared with the existing internal combustion engine water liquid cleaning equipment, the device has the advantages of being simple in structure, capable of being suitable for various internal combustion engine sets such as various aviation internal combustion engines, offshore fuel oil generator sets and helicopter internal combustion engines, and having the characteristics of improving the performance of the internal combustion engines, enhancing the fuel oil efficiency, prolonging the service life of the internal combustion engines, improving the safety of the equipment and reducing the maintenance cost.

Drawings

The invention will be further described with reference to the drawings and examples.

Fig. 1 is a schematic structural view of a preferred embodiment of the present invention.

Fig. 2 is a schematic structural diagram of a central processing module according to a preferred embodiment of the present invention.

In the figure 1, a water liquid cleaning device; 2. a sensing detection module; 21. a temperature sensor; 22. a pressure sensor; 23. a humidity sensor; 24. an optical sensor; 3. an acquisition module; 4. a central processing module; 41. a storage unit; 42. a filtering unit; 43. a denoising unit; 44. a feature extraction unit; 45. a detection analysis unit; 5. a communication module; 6. and the intelligent terminal equipment.

Detailed Description

The invention will now be described in further detail with reference to the accompanying drawings. The drawings are simplified schematic representations which merely illustrate the basic structure of the invention and therefore show only the structures which are relevant to the invention.

In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, features defining "first", "second" may include one or more such features, either explicitly or implicitly. In the description of the present invention, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.

As shown in fig. 1, which is a preferred embodiment of the present invention, an intelligent monitoring system for an internal combustion engine water cleaning apparatus, comprises: a water-liquid cleaning device 1 for cleaning an internal combustion engine; a sensing detection module 2 for detecting a physical quantity; the acquisition module 3 is connected with the sensing detection module 2 and is used for acquiring physical quantity and converting the physical quantity to obtain sensing data after processing; the central processing module 4 is in signal connection with the acquisition module 3 and is used for acquiring and processing sensing data and controlling the start and stop of the water cleaning equipment 1 and the parameters of the water cleaning equipment 1 during operation after the start based on the sensing data; the sensing detection module 2 comprises an optical sensor 24, the optical sensor 24 is arranged on a waste liquid collecting device of the water liquid cleaning equipment and used for acquiring optical characteristics of cleaning waste liquid, the optical data are acquired and converted through the acquisition module 3, and the central processing module 4 acquires and processes the optical data and is used for analyzing the cleaning effect of the gas turbine.

In this embodiment, the sensing detection module 2 further includes a temperature sensor 21, a pressure sensor 22, and a humidity sensor 23, where the temperature sensor 21 and the pressure sensor 22 are both disposed at the outlet end of the water cleaning device 1, so as to detect the temperature and the pressure of the outlet end of the water cleaning device 1; the humidity sensor 23 is located between the internal combustion engine and the atomizer of the aqueous cleaning apparatus 1 at the time of cleaning, and detects the humidity of the surface environment of the internal combustion engine.

The sensing data includes temperature data, pressure data, humidity data, and optical data.

In this embodiment, the intelligent monitoring system further includes: the communication module 5, the collection module 3, the central processing module 4 and the water liquid cleaning equipment 1 are all connected with the communication module 5, and the communication module 5 is used for realizing that data among the collection module 3, the central processing module 4 and the water liquid cleaning equipment 1 can be effectively transmitted. The communication module adopts but is not limited to a CAN communication module, and CAN also be a UART, SPI, ethernet communication module, and the proper communication module is selected according to the requirement so as to ensure the factors such as the communication requirement, the data transmission rate, the communication distance and the reliability of the equipment.

In this embodiment, the temperature sensor 21 and the pressure sensor 22 are fixedly connected to the outlet end of the water-liquid cleaning device 1 through threads, and compared with the prior art, the temperature sensor 21 is arranged inside the water-liquid cleaning device 1 to monitor and adjust the temperature of the cleaning liquid before reaching the internal combustion engine, but the distance between the water-liquid cleaning device 1 and the pipeline connected with the internal combustion engine is usually 4-8 meters, the comprehensive effects of electromagnetic interference, site limitation, explosion-proof requirement and the like are avoided in consideration of the safety distance, the water liquid is influenced by transportation, environmental temperature and the like, the temperature loss is usually > +/-10 ℃, and finally the temperature reaching the internal combustion engine has larger error with the monitored temperature of the water-liquid cleaning device 1, and the standard temperature of the cleaning liquid or the internal combustion engine cleaning is not satisfied. The temperature and pressure sensor 22 is arranged at the outlet end of the water liquid cleaning device 1, namely the joint of the internal combustion engine and the quick joint of the water liquid cleaning device 1, so that the most accurate temperature and pressure can be obtained under the condition that the internal combustion engine is not dismounted, and the problem that the temperature loss is caused by long-distance conveying is avoided, so that the integral cleaning effect is influenced.

In the present embodiment, the humidity sensor 23 is fixedly disposed on the atomizer of the water-liquid cleaning apparatus 1 through an adjustable bracket, and during cleaning, the humidity sensor 23 is located between the internal combustion engine and the atomizer of the water-liquid cleaning apparatus 1 by adjusting the length of the adjustable bracket.

In this embodiment, the internal combustion engine is cleaned by the atomizer, and a waste liquid collecting device is provided at the tail of the internal combustion engine or at other suitable positions. The waste liquid collecting device works through a water pump in the water liquid cleaning equipment, suction is generated to suck the cleaning waste liquid away from the internal combustion engine, the cleaning waste liquid is recycled into the waste liquid collecting device in the water liquid cleaning equipment, and the collecting part of the optical sensor is arranged towards the waste liquid collecting device so as to ensure the collection of optical characteristics.

It should be noted that, in order to ensure that the physical quantity can be effectively transmitted to the acquisition module 3, in this embodiment, each sensor is provided with a wireless communication unit, and the wireless communication unit is wirelessly connected with the acquisition module 3, so as to ensure that the physical quantity can be acquired by the acquisition module 3.

In this embodiment, the acquisition module 3 performs preliminary processing on the physical quantity, and then performs signal conversion on the physical quantity to obtain sensing data, so as to facilitate the processing and analysis of the central processing module 4. In addition, the collection module 3 and the central processing module can be in modularized design, the collection module 3 generally transmits converted sensing data to the central processing module, communication burden is reduced, data transmission efficiency is improved, the collection module 3 can be customized and replaced according to specific sensor types and application requirements, the system is more flexible, sensors of different types and collection requirements can be adapted later, redesign of the central processing module 4 is avoided, flexibility and adaptability are improved, and modification cost is reduced.

In this embodiment, as shown in fig. 2, the central processing module 4 includes a storage unit 41 for storing sensing data and creating a data record and history database. In addition, the storage unit 41 also stores data and parameters of the cleaning process, so as to implement tracing and recording of the cleaning process, and facilitate subsequent analysis and evaluation.

Further, the central processing module 4 further includes:

the filtering unit 42 obtains the sensing data transmitted by the communication module 5 module, and filters the sensing data to filter noise and interference of the sensing data, thereby improving accuracy of analysis results of the sensing data in subsequent steps. The filtering algorithm of the filtering processing unit adopts, but is not limited to, moving average filtering (Moving Average Filter), IIR filtering (Infinite Impulse Response Filter) and FIR filtering (Finite Impulse Response Filter). If the temperature sensor 21 outputs one sample per second, in order to smooth the acquired temperature data, the temperature data may be filtered using moving average filtering, and assuming that 10 samples are selected for average filtering, at each time point, the output filtering result will be equal to the average of the current sample and the first 9 samples; IIR filtering to implement a notch filter for removing specific frequency components, such as noise or interference, from the signal; FIR filtering to achieve sense data adjustment, equalization and filtering.

And the denoising unit 43 is connected with the filtering unit 42, acquires the filtered sensing data, and performs denoising processing to obtain smooth sensing data so as to improve the quality and accuracy of the sensing data. The denoising processing algorithm of the denoising unit 43 employs, but is not limited to, a Mean Filter (Mean Filter), a Wiener Filter (Wiener Filter), and a Median Filter (Median Filter). If the average operation is carried out on the current sensing data and the adjacent sensing data thereof through the average filter, the influence of noise can be reduced, and smoother audio signals can be obtained; the wiener filter is commonly used for image noise reduction, taking the image as an example of the sensing data acquired by the optical sensor 24, noise may exist in the image due to factors such as low illumination, high gain and the like, and the wiener filter can reduce the influence of the noise on the image by correcting the frequency spectrum according to the statistical characteristics of signals and noise, so that the image quality is improved. The median filter can effectively remove salt and pepper noise in the image, the image has interference in the acquisition process and the transmission process, black and white noise points appear in the image, the pixel values around each pixel point can be ordered through the median filter, and then the median value is taken as an output value, so that the salt and pepper noise is removed, and the quality of the image is improved.

A feature extraction unit 44 connected to the denoising unit 43, for obtaining smoothed sensor data, and extracting feature information by the feature extraction unit 44; the characteristic information includes temperature information, pressure information, humidity information, and optical information. The feature extraction unit 44 employs an algorithmic principal component analysis (Principal Component Analysis, PCA), which is a commonly used unsupervised feature extraction algorithm for reducing data dimensionality and removing redundant information. The calculation formula is y=xw, where X represents the original dataset, Y represents the feature set after dimension reduction, and W represents the projection matrix composed of the principal components. The feature extraction unit 44 obtains smoothed sensed data, including temperature data, pressure data, humidity data, and optical data, and forms a dataset that can be projected into a new low-dimensional space using PCA algorithms to achieve the reduced-dimension visualization of the data. For example, in the optical information, features that mainly affect the cleaning effect can be found by PCA algorithm, and the data set is projected into the space constituted by these main features for analysis.

Note that the algorithm adopted by the feature extraction unit 44 further includes: linear discriminant analysis (Linear Discriminant Analysis, LDA), wavelet transformation (Wavelet Transform), anomaly detection algorithms, cell learners (One-Class SVM), and gaussian mixture models (Gaussian Mixture Model, GMM), algorithms employed by the feature extraction unit 44 are selected based on actual data and feature requirements, introducing more efficient feature description of the state and performance of the aqueous cleaning apparatus 1.

And a detection analysis unit 45 connected to the feature extraction unit 44, for acquiring feature information, performing detection analysis, acquiring a cleaning decision of the internal combustion engine, and adjusting parameters of the water cleaning apparatus 1 in real time when in operation. Further, the physical quantity of the internal combustion engine or the cleaning equipment is collected through a plurality of sensors such as a temperature sensor, a pressure sensor, an optical sensor, a humidity sensor and the like of the intelligent monitoring equipment, the sensing data is obtained through conversion by combining the collecting module, the sensing data is transmitted through the communication module 5, the sensing data is filtered, denoised and subjected to characteristic extraction, and after each unit is processed, the sensing data is finally transmitted to the detection analysis unit 45, and deep analysis and calculation are carried out by means of technical means such as analysis, big data and the like, so that the cleaning decision of the internal combustion engine is obtained. The acquisition of the engine washing decisions can be calculated by the following steps and methods:

(1) And acquiring sensing data, namely acquiring sensing data such as temperature data, pressure data, humidity data, optical data and the like through a communication module.

(2) And data processing, filtering and denoising the sensing data through a filtering unit 42 and a denoising unit 43.

(3) Feature extraction key feature information of the operating state of the internal combustion engine can be obtained by feature extraction of the preprocessed sensor data by the feature extraction unit 44. For example: the change trend of temperature, the fluctuation condition of pressure, the pollution degree of the cleaning liquid detected by the optical sensor and the like can be extracted.

(4) Cleaning time decision: and comparing the extracted key features with an existing cleaning feature model library of the internal combustion engine to obtain a cleaning decision for cleaning the internal combustion engine, and obtaining the next cleaning operation of the cleaning equipment. Further, setting characteristic model parameters and priorities to calculate the result of the cleaning decision.

In this embodiment, the parameters of the water cleaning device 1 during operation can be adjusted in real time according to the sensing data collected in real time, so as to ensure the cleanliness of the internal combustion engine.

In the present embodiment, the detection and analysis unit 45 receives temperature information in real time, and maintains the temperature of the cleaning liquid in the aqueous cleaning apparatus 1 by the heating device or the cooling device based on the temperature information. Specifically, the detection and analysis unit 45 acquires the temperature change in the process of cleaning the internal combustion engine in real time, adjusts the temperature, for example, in a low-temperature environment, and maintains the temperature of the cleaning liquid to a proper temperature through the heating device; when the temperature is too high, maintaining the temperature of the cleaning liquid to a proper temperature by a cooling device so as to ensure the cleaning effect and the liquid fluidity; when the obtained temperature information is abnormal, for example, when the temperature information is greater than a preset threshold value, the detection and analysis unit 45 sends warning data to warn an operator, so that the operator can find problems such as overheating or supercooling of equipment in time, the possible damage risk is reduced, and the operator is prompted to take necessary measures. The detection and analysis unit 45 also stores temperature information to form a record of temperature change for analyzing the trend and correlation of temperature change.

The detection and analysis unit 45 receives the pressure information in real time, adjusts the flow rate of the cleaning liquid based on the pressure information, and maintains the pressure of the cleaning liquid in the aqueous cleaning apparatus 1. The detecting and analyzing unit 45 acquires the pressure change in the process of cleaning the internal combustion engine in real time, and adjusts the pressure so as to meet the requirement of cleaning effect. When the obtained pressure information is abnormal, if the pressure information is not in the preset threshold range, the detection and analysis unit 45 sends warning data to warn operators, so that the operators can find out the pressure fluctuation or abnormal condition of the equipment in time, and the risk of the equipment or the operators caused by the excessive high or low pressure is avoided. The detecting and analyzing unit 45 also stores the pressure information to form a record of pressure change, so as to analyze the change trend and the periodicity rule of the pressure.

The detection analysis unit 45 receives humidity information in real time, adjusts the flowing speed of the cleaning liquid and the pressure of the cleaning liquid based on the humidity information, can improve the cleaning effect on the internal combustion engine, and when the acquired humidity information is abnormal, if the humidity information is not in a preset threshold range, the detection analysis unit 45 sends warning data for warning operators, so that the operators can find out abnormal conditions of the humidity in time, and risks caused by excessive high or low humidity to equipment or the operators are avoided. The detecting and analyzing unit 45 also stores the humidity information to form a record of humidity change, so as to analyze the change trend and the periodicity rule of the humidity.

Further, the detection and analysis unit 45 monitors the cleaning effect evaluation, the cleaning program control, and the cleaning effect in real time based on the collected humidity information. Specifically, when the cleaning effect is evaluated, the humidity sensor can monitor the change of the environmental humidity during spray cleaning, when the cleaning starts, the sensor can detect an initial dry state, and along with the cleaning, the humidity sensor can feed back the increase condition of the humidity, so that the sufficiency and the effect of the cleaning are evaluated. The feedback from the humidity sensor can be used to control the duration or intensity of the cleaning spray as the cleaning program is controlled. When the sensor detects that the humidity has reached a certain level, the end of the washing procedure may be triggered, thereby ensuring that the engine surfaces are properly washed without excessive wetting. When the cleaning effect is monitored in real time, the humidity sensor can provide real-time humidity information, so that operators can monitor the cleaning effect in real time in the cleaning process, and the surface of the internal combustion engine is ensured to be properly cleaned and humidity controlled.

In the present embodiment, the detection and analysis unit 45 receives the optical characteristics in real time, and detects the cleanliness of the cleaning liquid based on the optical information. Specifically, the cleanliness is detected by: (1) reflection intensity: the optical sensor can measure the reflected intensity of light in the recovered wash waste. When particles and dirt are present in the wash waste, they scatter light, resulting in an increase in the intensity of the reflected light received by the optical sensor. Therefore, by monitoring the change in the reflection intensity, the concentration of particles in the washing waste liquid and the washing effect can be evaluated. In general, higher reflection intensity means more particles and dirt in the washing waste liquid, and lower washing degree. (2) Optical characteristics: different types of dirt and particles may cause specific changes in the optical signal information, such as scattering patterns, spectral characteristics, etc. By analyzing these optical characteristics, the type of dirt in the washing waste liquid and the degree of washing can be judged. For example, certain types of fouling may result in specific scattering patterns or spectral features, and by detecting the presence or absence of such features, the degree of cleaning of the cleaning effluent may be determined. (3) Model building or threshold setting: based on the optical characteristics and the historical cleaning level data, a machine learning model or statistical model may be built to predict the cleaning level. By training the model, the optical characteristics can be correlated with the degree of cleaning, and the degree of cleaning can be determined by the model output. In addition, some threshold values may be set according to experience or experimental data to judge the cleaning degree. For example, the degree of cleaning is lower when the reflected intensity exceeds a certain threshold or a particular optical feature appears.

In some embodiments, the optical sensor 24 may also be a non-contact optical sensor, such as an optical image sensor, that captures image information of the cleaning fluid and uses image processing and analysis algorithms to evaluate the contamination level of the cleaning fluid. By comparing the image characteristics such as color, texture, etc. before and after cleaning, the presence of cleaning liquid residue or improvement in cleaning effect can be recognized. The detection and analysis unit may detect the contamination level of the cleaning liquid based on the captured image using an optical principle and an image processing algorithm, for example, to identify a contaminated area and analyze the change of reflectivity, brightness or color non-uniformity to monitor and evaluate the contamination level of the cleaning liquid in real time, providing real-time feedback and evaluation for the cleaning effect.

In this embodiment, the central processing module 4 further includes a preprocessing unit for preprocessing the acquired sensor data, and transmitting the sensor data to the filtering unit 42 after preprocessing. The preprocessing comprises the operations of data cleaning, denoising, correcting, calibrating and the like, and comprises the steps of processing missing values and abnormal values, selecting proper characteristics, carrying out the operations of data standardization or normalization and the like so as to ensure the quality and consistency of the acquired sensing data.

In the present embodiment, the detection and analysis unit 45 analyzes, models and predicts trends of the data by using mathematical, statistical and machine learning algorithms to obtain a deep understanding of the performance, working state and environmental conditions of the water washing apparatus 1; the device can quantify and evaluate the cleaning effect and quality by comparing the data before and after cleaning, such as the characteristic information of pressure, temperature, humidity, light and the like, and the data of different cleaning methods; by analyzing and modeling the data, identifying potential optimization opportunities, the apparatus can provide relevant suggestions to improve the performance, efficiency, and energy consumption of the cleaning apparatus; the machine learning is adopted to deeply understand the performance, the working state and the environmental condition of the water liquid cleaning equipment 1, and the cleaning effect detection comprises the following steps:

s1: and (3) data acquisition: various sensing data such as sensing data temperature, pressure, operation state record, environmental condition, etc. are acquired in relation to the internal combustion engine, the water-liquid washing apparatus 1. Ensuring accuracy and integrity of data is critical to efficient machine learning modeling.

S2: and (3) data processing: the method comprises the steps of cleaning and preprocessing sensing data, including processing missing values and abnormal values, selecting proper characteristics, performing data standardization or normalization and the like to ensure data quality and consistency, filtering and denoising preprocessed data, and further improving data quality and accuracy of evaluation results.

S3: characteristic engineering: and extracting meaningful feature information through feature engineering according to the object of the problem. Including feature engineering based on physical principles such as extracting statistical features, frequency domain features, time domain features, etc. from the sensed data. Meanwhile, the construction and selection of the features can be performed by using domain knowledge and experience.

S4: model selection and training: and selecting a proper machine learning model, such as decision trees, support vector machines, neural networks, random forests and the like, according to the problem type classification, regression and the like. The selected model is trained using the marker dataset and performance assessment and tuning is performed using cross-validation techniques.

S5: model evaluation and improvement: and evaluating the model, including calculating indexes such as accuracy, recall rate, precision and the like. Based on the evaluation results, modifications are made to the model, such as adjusting model parameters, adding more features, and improving machine learning algorithms.

S6: and (3) cleaning effect detection: and detecting new input data according to the model obtained by training. By extracting the characteristics of the input data and inputting the characteristics into the model, the performance, the working state and the environmental conditions of the water-liquid cleaning equipment 1 and the cleaning effect of the water-liquid cleaning equipment 1 on the internal combustion engine are detected.

In this embodiment, the system further includes an intelligent terminal device 6, where the intelligent terminal device 6 is in signal connection with the communication module 5. The intelligent terminal device 6 is provided with a man-machine exchange interface for feeding back the cleaning result of the internal combustion engine, and compared with the cleaning result which depends on experience and subjective judgment of operators in the prior art, the cleaning result is processed and analyzed by the central processing module, the final cleaning result is transmitted to the intelligent terminal for display through the communication module 5, in addition, the intelligent terminal device 6 is also used for displaying the processing result of the central processing module 4, so that the states, performances and environmental parameters of the water-liquid cleaning device 1 and the internal combustion engine can be monitored remotely, and the working condition can be mastered timely. The central processing module 4 can receive control instructions transmitted by the intelligent terminal, so as to realize remote control of the water liquid cleaning equipment 1, including monitoring and adjusting various parameters of the water liquid cleaning equipment 1, and realizing remote operation and management. When the central processing module 4 detects that the sensing data is abnormal data, if the temperature information is higher than a preset threshold value, the pressure information is not in a preset range and the like, the sent warning data is transmitted to the intelligent terminal for display, so that an operator can process the warning data in time, the risk in the cleaning process is reduced, and the safety of operation is improved.

In summary, the central processing module 4 can be connected and communicate with the sensing detection module 2 to obtain real-time monitoring and recording of key sensing data. The central processing module 4 has the capability of storing and processing data. The method can store the collected sensing data and establish a data record and a historical database. Meanwhile, the central processing module 4 processes and analyzes the collected data, such as processing steps of calculation, filtering, aggregation and the like, so as to control the water liquid cleaning equipment 1 and adjust parameters of the water liquid cleaning equipment 1 during working, thereby realizing functions of real-time monitoring, cleaning effect evaluation, remote control and optimization and data driving decision. Compared with the existing water liquid cleaning equipment 1, the device has the advantages of being simple in structure, capable of being suitable for various internal combustion engine sets such as various aviation internal combustion engines, offshore fuel oil generator sets and helicopter internal combustion engines, and having the characteristics of improving the performance of the internal combustion engines, enhancing the fuel oil efficiency, prolonging the service life of the internal combustion engines, improving the safety of the equipment and reducing the maintenance cost.

With the above-described preferred embodiments according to the present invention as an illustration, the above-described descriptions can be used by persons skilled in the relevant art to make various changes and modifications without departing from the scope of the technical idea of the present invention. The technical scope of the present invention is not limited to the description, but must be determined according to the scope of claims.

Claims (10)

1. An intelligent monitoring system for an internal combustion engine water wash apparatus, comprising:

a water-liquid cleaning device (1) for cleaning an internal combustion engine;

a sensing detection module (2) for detecting a physical quantity;

the acquisition module (3) is connected with the sensing detection module (2) and used for acquiring the physical quantity and converting the physical quantity to obtain sensing data after processing;

the central processing module (4) is connected with the acquisition module (3) and used for acquiring and processing the sensing data, controlling the start and stop of the water cleaning equipment (1) and the parameters of the water cleaning equipment (1) during working after the start based on the sensing data;

the sensing detection module (2) comprises an optical sensor (24), the optical sensor (24) is arranged on a waste liquid collecting device of the water liquid cleaning equipment and used for acquiring optical characteristics of the cleaning waste liquid, optical data are acquired and converted through the acquisition module (3), and the central processing module (4) acquires and processes the optical data and is used for analyzing the cleaning effect of the internal combustion engine.

2. The intelligent monitoring system for an internal combustion engine water washing apparatus according to claim 1, wherein the sensing detection module (2) further comprises a temperature sensor (21), a pressure sensor (22) and a humidity sensor (23);

the temperature sensor (21) and the pressure sensor (22) are both arranged at the outlet end of the water-liquid cleaning equipment (1) and are used for detecting the temperature and the pressure of the outlet end of the water-liquid cleaning equipment (1);

the humidity sensor (23) is positioned between the internal combustion engine and the atomizing nozzle of the water liquid cleaning equipment (1) during cleaning and is used for detecting the humidity of the surface environment of the internal combustion engine.

3. The intelligent monitoring system for an internal combustion engine water wash apparatus of claim 2, further comprising: the collecting module (3), the central processing module (4) and the water liquid cleaning equipment (1) are connected with the communication module (5);

the intelligent terminal device (6), the intelligent terminal device (6) is connected with the communication module (5).

4. An intelligent monitoring system for an internal combustion engine water washing apparatus according to claim 3, characterized in that the central processing module (4) comprises a memory unit (41) for storing said sensing data and for creating a data record and history database.

5. An intelligent monitoring system for an internal combustion engine water washing apparatus according to claim 3, characterized in that said central processing module (4) further comprises:

the filtering unit (42) acquires the sensing data transmitted by the communication module (5) and filters the sensing data;

the denoising unit (43) is connected with the filtering unit (42) and used for obtaining the filtered sensing data and denoising the sensing data to obtain smooth sensing data;

a feature extraction unit (44) connected to the denoising unit (43) for obtaining smoothed sensor data, and extracting feature information by the feature extraction unit (44);

and a detection and analysis unit (45) connected with the feature extraction unit (44) for obtaining the feature information, performing detection and analysis, obtaining a cleaning decision of the internal combustion engine, and adjusting the parameters of the water-liquid cleaning equipment (1) in real time during operation.

6. The intelligent monitoring system for an internal combustion engine water wash apparatus of claim 5, wherein the characteristic information includes one or more of temperature information, pressure information, humidity information, and optical information.

7. The intelligent monitoring system for an internal combustion engine water-liquid cleaning apparatus according to claim 6, wherein the detection and analysis unit (45) receives the temperature information in real time, and maintains the temperature of the cleaning liquid in the water-liquid cleaning apparatus (1) by a heating device or a cooling device based on the temperature information;

the detection and analysis unit (45) receives the pressure information in real time, adjusts the flow speed of the cleaning liquid based on the pressure information, and maintains the pressure of the cleaning liquid in the water-liquid cleaning equipment (1);

the detection and analysis unit (45) receives the humidity information in real time, and adjusts the flow speed of the cleaning liquid and the pressure of the cleaning liquid based on the humidity information;

the detection and analysis unit (45) receives the optical information in real time and analyzes the cleanliness of the internal combustion engine based on the optical information.

8. The intelligent monitoring system for an internal combustion engine water wash apparatus of claim 5, wherein obtaining a wash decision for the internal combustion engine comprises the steps of:

acquiring sensing data;

data processing, filtering and denoising the sensed data by the filtering unit (42) and the denoising unit (43);

feature extraction, namely performing feature extraction on the processed sensing data through a feature extraction unit (44) to obtain key feature information of the working state of the internal combustion engine;

and comparing the extracted key features with an existing cleaning feature model library of the internal combustion engine to obtain a cleaning decision for cleaning the internal combustion engine.

9. The intelligent monitoring system for an internal combustion engine water washing apparatus according to claim 8, wherein in the washing decision step, the result of the washing decision is calculated by setting the feature model parameters and the priorities.

10. The intelligent monitoring system for an internal combustion engine water washing apparatus according to claim 1, wherein the washing effect analysis of the internal combustion engine includes the steps of:

s1, data acquisition: acquiring sensing data of the internal combustion engine and the water-liquid cleaning equipment;

s2, data processing: cleaning and preprocessing the sensing data;

s3, feature engineering: extracting feature information through feature engineering according to the object of the problem;

s4, model selection and training: classifying and regressing according to the problem types to determine a machine learning model;

s5, model evaluation and improvement: evaluating the model, and improving the model according to an evaluation result;

s6, cleaning effect decision: and according to the model obtained by training, making a decision on new input data to obtain a cleaning result.