External detachable one-way valve system additionally arranged at oil pump outlet of small engine oil tank

Abstract

The invention provides an external detachable one-way valve system additionally arranged at an oil pump outlet of a small engine oil tank, and relates to the technical field of steam turbines, the external detachable one-way valve system comprises a construction assembly and an identification system, the construction assembly comprises a small engine main oil tank and an oil pump set arranged in the small engine main oil tank, and the oil pump set comprises a small engine main oil pump and a small engine direct-current oil pump; the output ends of the small machine main oil pump and the small machine direct-current oil pump are connected with an oil supply position through pipelines, and the outside of the small machine main oil pump is connected with a one-way valve. The one-way valve is arranged outside the small machine main oil tank and communicated with pipelines of the small machine main oil pump and the small machine direct-current oil pump through the through pipe, and when the one-way valve goes wrong, the through pipe can be disconnected through the block valve, so that the one-way valve is isolated, online replacement is convenient after isolation, and it is guaranteed that after the one-way valve is jammed, the one-way valve cannot be damaged. The check valves are checked and cleaned under the condition that safe operation of a unit is not affected, normal operation of all oil pumps is guaranteed, the maintenance efficiency of personnel is greatly improved, and safe operation of the unit is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of steam turbines, and particularly to an externally mounted detachable one-way valve system installed at the outlet of the oil pump of the small oil tank. Background Art

[0002] The main oil tank of the small machine is mainly used to store the working fluid required by the hydraulic system, and at the same time has the functions of heat dissipation, filtering impurities, and removing air bubbles in the fluid. The main oil pump of the small machine mainly supplies oil to each bearing of the unit to lubricate and cool the bearings, and at the same time supplies stable and sufficient pressure oil to the speed control system and protection device. It is one of the important auxiliary components of the steam turbine and is installed inside the main oil tank of the small machine. When the steam turbine is running at full speed, the main oil pump provides all the lubricating oil and safety oil for the unit. During the start-up and shutdown processes of the steam turbine, the lubricating oil and safety oil of the unit are provided by the auxiliary AC lubricating oil pump and the high-pressure start-up oil pump. Using the main oil pump can not only save plant electricity but also prevent the risk of oil starvation and bearing burning due to the power failure of the AC lubricating pump;

[0003] The main oil pump of the small machine is generally connected with a one-way valve. When the oil pump is started in conjunction, the air in the pump is quickly discharged through the one-way exhaust valve, and the oil pressure is quickly established. The one-way valve is inside the main oil tank of the small machine. For example, Figure 1 when the exhaust valve is stuck and unable to operate, the air in the pump cannot be discharged, which will cause the standby oil pump to fail to work properly, affect the lubricating oil pressure of the small machine, and seriously cause the unit to shut down. Because the one-way valve is inside the main oil tank of the small machine, it cannot be disassembled and inspected during unit operation and needs to be shut down for inspection. Therefore, the present invention proposes to install an externally mounted detachable one-way valve system at the outlet of the oil pump of the small oil tank to solve the problems existing in the prior art. Summary of the Invention

[0004] In view of the above problems, the present invention proposes to install an externally mounted detachable one-way valve system at the outlet of the oil pump of the small oil tank. The externally mounted detachable one-way valve system installed at the outlet of the oil pump of the small oil tank ensures that after the one-way valve becomes stuck, the one-way valve can be inspected and cleaned without affecting the safe operation of the unit, ensuring the normal operation of each oil pump, greatly improving the maintenance efficiency of personnel, and ensuring the safe operation of the unit.

[0005] To achieve the object of the present invention, the present invention is realized through the following technical solutions: An externally mounted detachable one-way valve system is installed at the outlet of the oil pump of the small oil tank, including a structural component and an identification system. The structural component includes the main oil tank of the small machine and an oil pump group arranged inside the main oil tank of the small machine. The oil pump group includes the main oil pump of the small machine and the DC oil pump of the small machine. The output ends of the main oil pump of the small machine and the DC oil pump of the small machine are both connected to the oil supply point through pipelines. A one-way valve is connected to the outside of the main oil tank of the small machine, and multiple groups of one-way valves are provided. The one-way valve is connected to the pipeline through a through pipe, and a cut-off valve is provided on the through pipe. A microphone is provided on the one-way valve;

[0006] The recognition system includes a sound acquisition module, a data verification module, and an analysis and prediction module. The sound acquisition module is used to collect and store the sound recognized by the microphone. The data verification module is used to perform big data analysis on the recognized sound to judge the working state of the current one-way valve. The analysis and prediction module is used to perform variable analysis on the sound stored within a specified time period and calculate the predicted trend of subsequent problems with the one-way valve.

[0007] A further improvement lies in that: in the small engine main oil tank, there are at least two small engine main oil pumps and at least one small engine DC oil pump. There are three one-way valves. The pipelines at the output ends of the two small engine main oil pumps and the one small engine DC oil pump are respectively connected to the through pipes of the three pilot valves.

[0008] A further improvement lies in that: check valves are provided on the pipelines at the output ends of the two small engine main oil pumps and the one small engine DC oil pump, and the check valves are located at the rear position where the through pipe is connected to the pipeline.

[0009] A further improvement lies in that: the sound acquisition module includes an acquisition unit and a storage unit. The acquisition unit is connected to the microphone and is used to collect the sound of the one-way valve. The storage unit is used to store the audio data collected by the acquisition unit and add a time stamp, and the storage unit is also used to provide a time stamp query function.

[0010] A further improvement lies in that: the data verification module includes a data packet, a big data learning module, and a conclusion output module. The data packet is used to store all standard audio parameter data regarding the normal sound of the one-way valve, different abnormal sounds, and the audio decibel data regarding this abnormal process, and constructs a comparison main model based on the standard audio data, and constructs a comparison sub-model based on the main model according to the audio decibel parameter data regarding this abnormal process.

[0011] A further improvement lies in that: the big data learning module is built with a deep learning algorithm and is used to input the currently collected one-way valve sound data into the data packet for one-by-one comparison and demonstration. First, based on the comparison main model, it compares and judges the frequency and timbre of the current sound to determine whether the sound of the current one-way valve is normal or abnormal. When it is determined that the sound is abnormal, then based on the comparison sub-model, it compares and judges the decibel and interval duration of the current sound to determine the process to which the current abnormality belongs. Each stage is compared and demonstrated more than three times.

[0012] A further improvement lies in that: the conclusion output module is used to access the human-computer interaction display in the operator's master control room by wire and the mobile phone APP of the operator wirelessly, and is used to merge the results of more than three times of comparative demonstrations into a data report and output it to the human-computer interaction display and the mobile phone APP. When the result of the comparative demonstration indicates that the check valve is abnormal, an alarm is issued through the human-computer interaction display and the mobile phone APP, and at the same time, it is output to the manufacturer's data network according to the current type of abnormality, and a processing solution is retrieved online in real time.

[0013] A further improvement lies in that: the analysis and prediction module includes a timing acquisition module, a data planning module and a fault prediction module. The timing acquisition module is used to manually set the acquisition time period and collect the data stored in the storage unit at regular time intervals according to the manually set standard, and merge it into a prediction unit basis.

[0014] A further improvement lies in that: the data planning module is used to split the prediction unit basis, split the parameters of the audio data into specific vector data, and construct a line chart according to the fluctuations of each vector data. The fault prediction module is used to analyze the line charts of different vector data, first analyze the change trend of the data, then analyze the fluctuation amplitude of the data at different time points, and then calculate the time required to reach the abnormality threshold represented by the data based on the change trend and the fluctuation amplitude:

[0015] T=(S 0 -S L )÷N

[0016] Among them, T refers to the time required to reach the abnormality;

[0017] S 0 refers to the abnormality threshold value represented by the data;

[0018] SL refers to the value of the data currently collected;

[0019] N refers to the current fluctuation amplitude of the data.

[0020] A further improvement lies in that: the recognition system further includes a log module, which is used to store all the data of the sound acquisition module, the data verification module and the analysis and prediction module, synthesize it into a text document, and provide keyword, timestamp and data retrieval functions of different modules synchronously.

[0021] The beneficial effects of the present invention are:

[0022] 1. The one-way valve of the present invention is arranged outside the main oil tank of the small machine and is connected to the pipelines of the main oil pump and the DC oil pump of the small machine through a connecting pipe. When the one-way valve has problems, the connecting pipe can be disconnected through a cut-off valve, so that the one-way valve is isolated. After isolation, it is convenient to replace it online. After the one-way valve is stuck, it can be inspected and cleaned without affecting the safe operation of the unit, ensuring the normal operation of each oil pump, greatly improving the maintenance efficiency of personnel and ensuring the safe operation of the unit.

[0023] 2. The present invention collects the operating sound of the one-way valve through a microphone. Since abnormal sounds will occur at the valve body and the pump body when the one-way valve is abnormal, the sound is collected and compared with the audio data in the data packet through a deep learning algorithm, so as to judge whether the one-way valve is normal or abnormal. Then, according to the detailed parameters of the audio data, when the abnormality is determined, the process to which the abnormality belongs can also be judged. Compared with the self-inspection of the oil pump group, the present invention has better timeliness through audio analysis and improves the diagnosis of the one-way valve.

[0024] 3. The present invention collects the data stored in the storage unit at intervals of a specified time period according to the standards set manually, and splits the various parameters of the data into specific vector data, analyzes them with a line chart, judges the change trend and the fluctuation range, and thus calculates the time required to reach the abnormal threshold represented by the data, which is convenient for taking precautions, identifying possible abnormal trends in advance and reducing risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic diagram of the prior art;

[0026] Figure 2 is a schematic diagram of the structural components of the present invention;

[0027] Figure 3 is a schematic diagram of the identification system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] In order to deepen the understanding of the present invention, the following will further elaborate on the present invention in combination with embodiments. These embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0029] Embodiment 1

[0030] According to Figure 2 、 3As shown in the figure, this embodiment proposes an externally mounted detachable one-way valve system installed at the outlet of the small oil tank oil pump, including a structural component and an identification system. The structural component includes the main oil tank of the small machine and an oil pump group arranged inside the main oil tank of the small machine. The oil pump group includes the main oil pump of the small machine and the DC oil pump of the small machine. The output ends of the main oil pump of the small machine and the DC oil pump of the small machine are both connected to the oil supply point through pipelines. A one-way valve is connected to the outside of the main oil tank of the small machine, and multiple groups of one-way valves are provided. The one-way valve is connected to the pipeline through a through pipe. The one-way valve is a detachable type installed by flange, and a cut-off valve is provided on the through pipe. A microphone is provided on the one-way valve. When in use, the one-way valve is arranged outside the main oil tank of the small machine and is connected to the pipelines of the main oil pump of the small machine and the DC oil pump of the small machine through the through pipe. When the one-way valve has problems, the through pipe can be disconnected through the cut-off valve, so that the one-way valve is isolated. After isolation, it is convenient to replace it online, ensuring that after the one-way valve gets stuck, it can be inspected and cleaned without affecting the safe operation of the unit, and ensuring the normal operation of each oil pump.

[0031] The identification system includes a sound collection module, a data verification module, and an analysis and prediction module. The sound collection module is used to collect and store the sound identified by the microphone. The data verification module is used to perform big data analysis on the identified sound to judge the working state of the current one-way valve. The analysis and prediction module is used to perform variable analysis on the sound stored in a specified time period and calculate the predicted problem trend of the one-way valve in the future. When in use, the operating sound of the one-way valve is collected through the microphone. Since abnormal sounds will occur at the valve body and the pump body when the one-way valve is abnormal, collecting this sound can judge whether the one-way valve is normal or abnormal, and can also judge the process to which the abnormality belongs when the abnormality is determined. Compared with the self-inspection of the oil pump group, audio analysis is more time-effective and improves the diagnosis of the one-way valve.

[0032] In the main oil tank of the small machine, there are two groups of main oil pumps of the small machine and one group of DC oil pumps of the small machine. There are three groups of one-way valves. The pipelines at the output ends of the two groups of main oil pumps of the small machine and the one group of DC oil pumps of the small machine are respectively connected to the through pipes of the three groups of guide valves. Check valves are provided on the pipelines at the output ends of the two groups of main oil pumps of the small machine and the one group of DC oil pumps of the small machine, and the check valves are arranged at the rear position where the through pipe is connected to the pipeline to prevent backflow. The one-way valve is arranged outside the main oil tank of the small machine and is connected to the pipelines of the main oil pump of the small machine and the DC oil pump of the small machine through the through pipe. When the one-way valve has problems, the through pipe can be disconnected through the cut-off valve, so that the one-way valve is isolated. After isolation, it is convenient to replace it online, ensuring that after the one-way valve gets stuck, it can be inspected and cleaned without affecting the safe operation of the unit.

[0033] Embodiment Two

[0034] According to Figure 2 、 3As shown in the figure, this embodiment proposes an external detachable one-way valve system installed at the outlet of the small oil tank oil pump, which includes a structural component and an identification system. The structural component includes the main oil tank of the small machine and an oil pump group arranged inside the main oil tank of the small machine. The oil pump group includes the main oil pump of the small machine and the DC oil pump of the small machine. The output ends of the main oil pump of the small machine and the DC oil pump of the small machine are both connected to the oil supply through pipelines. A one-way valve is connected to the outside of the main oil tank of the small machine, and multiple groups of one-way valves are provided. The one-way valve is connected to the pipeline through a through pipe. The one-way valve is a detachable type installed by flange, and a cut-off valve is provided on the through pipe. A microphone is provided on the one-way valve. When in use, the one-way valve is arranged outside the main oil tank of the small machine and is connected to the pipelines of the main oil pump of the small machine and the DC oil pump of the small machine through the through pipe. When the one-way valve has problems, the through pipe can be disconnected through the cut-off valve, so that the one-way valve is isolated. After isolation, it is convenient to replace it online, ensuring that after the one-way valve gets stuck, it can be inspected and cleaned without affecting the safe operation of the unit, and ensuring the normal operation of each oil pump.

[0035] The identification system includes a sound collection module, a data verification module, and an analysis and prediction module. The sound collection module is used to collect and store the sound identified by the microphone. The data verification module is used to perform big data analysis on the identified sound to judge the working state of the current one-way valve. The analysis and prediction module is used to perform variable analysis on the sound stored in a specified time period to calculate and predict the trend of subsequent problems of the one-way valve. When in use, the running sound of the one-way valve is collected through the microphone. Since abnormal sounds will occur at the valve body and the pump body when the one-way valve is abnormal, collecting this sound can judge whether the one-way valve is normal or abnormal, and can also judge the process to which the abnormality belongs when the abnormality is determined. Compared with the self-inspection of the oil pump group, audio analysis is more time-effective and improves the diagnosis of the one-way valve.

[0036] The sound collection module includes a collection unit and a storage unit. The collection unit is connected to the microphone and is used to collect the sound of the one-way valve. The storage unit is used to store the audio data collected by the collection unit and mark it with a time stamp. The storage unit is also used to provide a time stamp query function for data storage and data query.

[0037] The data verification module includes a data packet, a big data learning module, and a conclusion output module. The data packet is used to store all standard audio parameter data of the normal sound of the one-way valve, different abnormal sounds, and audio decibel data of this abnormal process, and constructs a comparison main model according to the standard audio data, and constructs a comparison sub-model based on the main model according to the audio decibel parameter data of this abnormal process.

[0038] The big data learning module incorporates deep learning algorithms, which are used to input the currently collected one-way valve sound data into data packets for one-by-one comparison and demonstration. First, based on the comparison main model, it compares and judges the frequency and timbre of the current sound to determine whether the sound of the current one-way valve is normal or abnormal. When it is determined that the sound is abnormal, then based on the comparison sub-model, it compares and judges the decibel and interval duration of the current sound to determine the process to which the current abnormality belongs. Each stage is compared and demonstrated more than three times. Specifically, it includes: Random Forest - an ensemble learning method that makes predictions by constructing multiple decision trees and outputting the categories of their classification patterns (for classification tasks); Gradient Boosting Tree - an iterative decision tree algorithm used for classification, regression, and other learning tasks. It constructs a series of weak prediction models (such as decision trees) and combines them into a strong prediction model. At each step, it tries to correct the prediction errors of the previous model; Support Vector Machine: After feature extraction of sound data, it can be used to identify different sound patterns; Neural Network: Especially Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) and their variants (such as LSTM, GRU), which are particularly effective for processing time series data and audio signals. The neural network can automatically learn features from the original sound data and capture complex patterns; K-Nearest Neighbor: It can directly find the nearest neighbors in the sound feature space and make predictions based on the categories of these neighbors. Implementation steps: Data collection and preprocessing: Obtain a large amount of sound data on the working state of the one-way valve. Preprocess the sound data, such as denoising, feature extraction (such as Mel Frequency Cepstral Coefficients MFCC, spectral features, etc.). Construct a training set and a test set: Divide the preprocessed data into a training set and a test set. Ensure that each data point has the correct label (i.e., the working state of the one-way valve). Select and train the model: Select a machine learning algorithm. Use the training set data to train the model. Adjust the model parameters to optimize the performance. Model evaluation and optimization: Use the test set to evaluate the model performance. Adjust the model as needed.

[0039] The conclusion output module is used for wired access to the human-computer interaction display in the operator's master control room and wireless access to the operator's mobile phone APP. It is used to merge the results of more than three times of comparison and demonstration into a data report and output it to the human-computer interaction display and the mobile phone APP. When the result of the comparison and demonstration indicates that the one-way valve is abnormal, an alarm is issued through the human-computer interaction display and the mobile phone APP, and at the same time, it outputs to the manufacturer's data pipeline network according to the current abnormal type, and online real-time retrieves the processing solution. The conclusion report and early warning are output to the human-computer interaction display and the mobile phone APP to ensure that the operator can obtain the data.

[0040] The analysis and prediction module includes a timing acquisition module, a data planning module, and a fault prediction module. The timing acquisition module is used to manually set the acquisition time period and collect the data stored in the storage unit at regular time interval according to the manually set standard, and merge it into a prediction unit basis.

[0041] The data planning module is used to split the basis of the prediction unit, split the parameters of the audio data into specific vector data, and construct a line chart according to the fluctuations of each item of vector data. The fault prediction module is used to analyze the line charts of different vector data. First, analyze the change trend of the data, then analyze the fluctuation amplitude of the data at different time points, and then calculate the time required to reach the abnormal threshold represented by the data based on the change trend and the fluctuation amplitude: Use statistical methods (such as linear regression, time series analysis, etc.) to analyze the change trend of the data, and based on the analysis results, establish a mathematical model of the data trend to predict the data trend in the future for a period of time, calculate the fluctuation amplitude of the data at different time points, and achieve this by calculating the standard deviation, range or other statistics: Analyze whether the fluctuation has periodicity, seasonality or other recognizable patterns:

[0042] T = (S 0 - S L ) ÷ N

[0043] Among them, T refers to the time required to reach the abnormality;

[0044] S 0 refers to the abnormal threshold value represented by the data;

[0045] SL refers to the value of the data currently collected;

[0046] N refers to the current fluctuation amplitude of the data.

[0047] The recognition system further includes a log module, which is used to store all the data of the sound acquisition module, the data verification module and the analysis and estimation module, synthesize them into a text document, and synchronously provide keyword, timestamp and data retrieval functions for different modules. It is convenient for human-computer interaction and manual query.

[0048] An external detachable one-way valve system is installed at the outlet of the small oil tank oil pump. The one-way valve is set outside the main oil tank of the small machine and is connected to the pipelines of the main oil pump and the DC oil pump of the small machine through a connecting pipe. When the one-way valve has problems, the connecting pipe can be disconnected through a cut-off valve to isolate the one-way valve. After isolation, it is convenient to replace the one-way valve online. This ensures that when the one-way valve gets stuck, it can be inspected and cleaned without affecting the safe operation of the unit, guaranteeing the normal operation of each oil pump, greatly improving the maintenance efficiency of personnel and ensuring the safe operation of the unit. Moreover, in the present invention, the operating sound of the one-way valve is collected through a microphone. Since abnormal sounds will occur at the valve body and the pump body when the one-way valve is abnormal, by collecting this sound and comparing it with the audio data in the data packet through a deep learning algorithm, it can be determined whether the one-way valve is normal or abnormal. Then, based on the detailed parameters of the audio data, when an abnormality is determined, the process to which the abnormality belongs can also be judged. Compared with the self-inspection of the oil pump group, the present invention is more time-effective through audio analysis and improves the diagnosis of the one-way valve. At the same time, the present invention collects the data stored in the storage unit at intervals of a specified time period according to the standards set by humans, and splits the various parameters of the data into specific vector data for analysis using a line graph to judge the change trend and fluctuation range. From this, the time required to reach the abnormal threshold represented by the data is calculated, which is convenient for taking precautions and identifying possible abnormal trends in advance to reduce risks.

[0049] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification only illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and all these changes and improvements fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. An external detachable one-way valve system is installed at the outlet of the oil pump of the small engine oil tank, including a structural component and an identification system, which is characterized by: The structural component includes a small machine main oil tank and an oil pump group arranged inside the small machine main oil tank, the oil pump group includes a small machine main oil pump and a small machine DC oil pump, and the output ends of the small machine main oil pump and the small machine DC oil pump are connected to the oil supply through pipelines, the outside of the small machine main oil tank is connected to a one-way valve, and there are multiple groups of one-way valves, the one-way valve is connected to the pipeline through a through pipe, and a cut-off valve is provided on the through pipe, and a microphone is provided on the one-way valve; The recognition system includes a sound collection module, a data verification module and an analysis and prediction module. The sound collection module is used to collect and store the sound recognized by the microphone. The data verification module is used to perform big data analysis on the recognized sound to determine the current working status of the one-way valve. The analysis and prediction module is used to perform variable analysis on the sound stored in a specified time period and calculate and predict the subsequent problem trends of the one-way valve.

2. The system of installing an external detachable one-way valve at the outlet of the oil pump of the small engine oil tank according to claim 1 is characterized in that: In the small machine main oil tank, there are at least two groups of small machine main oil pumps, at least one group of small machine DC oil pumps, and three groups of one-way valves. The pipelines at the output ends of the two groups of small machine main oil pumps and one group of small machine DC oil pumps are respectively connected to the through pipes of the three groups of guide valves.

3. The system of installing an external detachable one-way valve at the outlet of the oil pump of the small engine oil tank according to claim 2 is characterized in that: Check valves are provided on the pipelines at the output ends of the two groups of small machine main oil pumps and one group of small machine DC oil pumps, and the check valves are arranged at the rear end position of the connection between the through pipe and the pipeline.

4. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 1, characterized in that: The sound collection module includes a collection unit and a storage unit. The collection unit is connected to a microphone and is used to collect the sound of the one-way valve. The storage unit is used to store the audio data collected by the collection unit and add a timestamp. The storage unit is also used to provide a timestamp query function.

5. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 4, characterized in that: The data verification module includes a data packet, a big data learning module and a conclusion output module. The data packet is used to store all standard audio parameter data about the normal sound of the one-way valve, different abnormal sounds and audio decibel data about the abnormal process, and to construct a comparison main model based on the standard audio data, and to construct a comparison sub-model based on the main model based on the audio decibel parameter data about the abnormal process.

6. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 5, characterized in that: The big data learning module has a built-in deep learning algorithm, which is used to input the currently collected one-way valve sound data into a data packet for one-by-one comparison and verification. First, the frequency and timbre of the current sound are judged based on the comparison main model to determine whether the sound of the current one-way valve is normal or abnormal. When it is determined that the sound is abnormal, the decibel and interval duration of the current sound are judged based on the comparison sub-model to determine the process to which the current abnormality belongs. Each stage is compared and verified more than three times.

7. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 6, characterized in that: The conclusion output module is used for wired access to the human-machine interactive display in the operator's main control room and wireless access to the operator's mobile phone APP. It is used to merge the results of more than three comparisons and demonstrations into a data report and output it to the human-machine interactive display and the mobile phone APP. When the result of the comparison and demonstration indicates that the one-way valve is abnormal, an alarm is issued through the human-machine interactive display and the mobile phone APP, and the alarm is simultaneously output to the manufacturer's data network according to the current abnormality type, and a processing solution is retrieved online in real time.

8. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 4, characterized in that: The analysis and prediction module includes a timing collection module, a data planning module and a fault prediction module. The timing collection module is used to manually set a collection time period, collect data stored in a storage unit within a specified time period according to manually set standards, and merge them into a prediction unit basis.

9. The system of installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to claim 8, characterized in that: The data planning module is used to split the prediction unit basis, split the various parameters of the audio data into specific vector data, and construct a line graph according to the fluctuation of each vector data. The fault prediction module is used to analyze the line graphs of different vector data, first analyze the change trend of the data, then analyze the fluctuation range of the data at different time points, and then calculate the time required to reach the abnormal threshold represented by the data based on the change trend and fluctuation range: T=(S0-S L )÷N Among them, T refers to the time required to reach abnormality; S0 refers to the abnormal threshold value represented by the data; SL refers to the value of the data currently collected; N refers to the current fluctuation range of the data.

10. The system for installing an external detachable one-way valve at the outlet of the oil pump of the oil tank of a small engine according to any one of claims 1 to 9, characterized in that: The recognition system also includes a log module, which is used to store all data from the sound collection module, the data verification module and the analysis and estimation module, and synthesize them into text documents, and simultaneously provide keywords, timestamps and data retrieval functions of different modules.

Images