CN116595657A - Engine quality prediction system - Google Patents

Engine quality prediction system Download PDF

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Publication number
CN116595657A
CN116595657A CN202310284949.8A CN202310284949A CN116595657A CN 116595657 A CN116595657 A CN 116595657A CN 202310284949 A CN202310284949 A CN 202310284949A CN 116595657 A CN116595657 A CN 116595657A
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China
Prior art keywords
engine
information
running
module
quality prediction
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Pending
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CN202310284949.8A
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Chinese (zh)
Inventor
杨颖�
杨帅虎
杨锴
冯敏
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Guangxi University
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Guangxi University
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Priority to CN202310284949.8A priority Critical patent/CN116595657A/en
Publication of CN116595657A publication Critical patent/CN116595657A/en
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02B—INTERNAL-COMBUSTION PISTON ENGINES; COMBUSTION ENGINES IN GENERAL
    • F02B77/00—Component parts, details or accessories, not otherwise provided for
    • F02B77/08—Safety, indicating, or supervising devices
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00—Testing of engines
    • G01M15/04—Testing internal-combustion engines
    • G01M15/05—Testing internal-combustion engines by combined monitoring of two or more different engine parameters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04—Ageing analysis or optimisation against ageing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Combustion & Propulsion (AREA)
  • Computational Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)

Abstract

The invention relates to an engine quality prediction system, comprising: the information acquisition module is used for acquiring part information, running state information and running environment information of the engine and sending the part information, the running state information and the running environment information to the information processing module; the information processing module is used for processing the part information, the running state information and the running environment information of the engine and sending the part information, the running state information and the running environment information to the simulation running module; the simulation operation module is used for carrying out engine model construction and engine operation simulation based on the processed part information, the running state information and the running environment information of the engine; and the quality prediction module is used for predicting the quality of the engine according to the simulated running condition of the engine. The invention can predict the fault and the residual life of the engine, timely make the work adjustment and maintenance of the engine, ensure the safe operation of mechanical equipment and prolong the service life of the engine.

Description

Engine quality prediction system
Technical Field
The invention relates to the technical field of engine quality prediction, in particular to an engine quality prediction system.
Background
At present, most of engine production lines have unclear process experience, and engineers have difficulty in correctly explaining ideal results by using intuition and experience; the engine has unstable delivery performance, poor torque consistency of the engine at different rotating speeds and uncontrollable engine quality. With the rapid development of mass analysis technology, a real-time mass analysis system has become an indispensable part of mechanical equipment, and the difficulty of mass analysis and prediction of an engine is high at present, and serious hysteresis exists, so that the maintenance time of the engine is prolonged. Therefore, there is a need for an engine quality prediction system to achieve health management of an engine, to achieve real-time failure and quality prediction of the engine.
Disclosure of Invention
The invention aims at solving the technical problems, and provides an engine quality prediction system which can realize real-time fault and quality prediction of an engine and ensure safe operation of mechanical equipment.
In order to achieve the above object, the present invention provides the following solutions:
an engine quality prediction system, comprising: the system comprises an information acquisition module, an information processing module, a simulation operation module and a quality prediction module;
the information acquisition module is used for acquiring part information, running state information and running environment information of the engine and sending the part information, the running state information and the running environment information to the information processing module;
the information processing module is used for processing the part information, the running state information and the running environment information of the engine and sending the part information, the running state information and the running environment information to the simulation running module;
the simulation operation module is used for constructing an engine operation model and simulating engine operation based on the processed part information, operation state information and operation environment information of the engine;
and the quality prediction module is used for predicting the quality of the engine according to the simulated running condition of the engine.
Further, the information acquisition module includes:
the part information acquisition unit is used for acquiring basic part information of the engine based on a sensor and inputting the basic part information into the information processing module;
the operation information acquisition unit is used for acquiring the operation state information of the engine and inputting the operation state information into the information processing module;
the environment information acquisition unit is used for acquiring the surrounding environment information when the engine runs and inputting the surrounding environment information into the information processing module.
Further, the basic part information of the engine includes: connecting rod shoe detection data, flatness detection data, clearance detection data and pressure detection data, engine bolt tightening torque, tightening rotation angle and ratio of engine bolt tightening torque to tightening rotation angle;
the running state information of the engine comprises engine vibration frequency, engine rotating speed, engine thermodynamic condition and engine running efficiency;
the ambient information during the operation of the engine comprises temperature information, humidity information and smoke information.
Further, the information processing module includes:
the part information processing unit is used for processing basic part information of the engine, generating a basic part data sample of the engine and inputting the basic part data sample into the simulation running module;
the operation information processing unit is used for processing the operation state information of the engine, generating an operation state data sample of the engine and inputting the operation state data sample into the simulation operation module;
and the environment information processing unit is used for processing the surrounding environment information when the engine runs, generating an operating environment data sample of the engine and inputting the operating environment data sample into the simulation operation module.
Further, the simulation run module includes:
the model construction unit is used for constructing an operation model of the engine according to the basic part data sample of the engine;
and the simulation operation unit is used for inputting the operation state data sample of the engine into the operation model of the engine, simulating the operation state of the engine, simulating the operation environment of the engine based on the operation environment data sample of the engine, and completing the simulation operation of the engine.
Further, the quality prediction module includes:
the fault prediction unit is used for predicting the engine fault based on the condition of the engine simulated operation;
and the residual life prediction unit is used for predicting the residual life of the engine based on the simulated running condition of the engine and the predicted faults.
Further, a maintenance planning module is included for planning a maintenance plan based on the predicted engine fault conditions including fault type, time of failure, degree of failure and remaining life.
Further, the system also comprises a display alarm module which is used for displaying and alarming according to the predicted engine fault condition and sending the formulated maintenance plan to staff.
The beneficial effects of the invention are as follows:
the invention provides an engine quality prediction system, which can construct an engine model based on actual data and simulate the running condition of an engine, and predict the faults and the residual life of the engine according to set fault occurrence conditions and average life, thereby completing the quality prediction of the engine; and the corresponding maintenance plan can be made according to the predicted engine faults and the residual service life or adjusted in advance, so that the safe operation of mechanical equipment is ensured, and the service life of the engine is relatively prolonged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an engine quality prediction system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
The present embodiment provides an engine quality prediction system, as shown in fig. 1, including: the system comprises an information acquisition module, an information processing module, a simulation operation module and a quality prediction module.
The information acquisition module is used for acquiring part information, operation information and operation environment information of the engine and sending the part information, the operation information and the operation environment information to the information processing module.
The information acquisition module specifically comprises:
the part information acquisition unit is used for acquiring the information of the basic parts of the running engine based on the sensor and inputting the information into the information processing module. The basic part information is acquired by a sensor attached to the engine and comprises information such as connecting rod shoe detection data, flatness detection data, gap detection data, pressure detection data, engine bolt tightening torque, tightening rotation angle, the ratio of the engine bolt tightening torque to the tightening rotation angle and the like.
The running information acquisition unit is used for acquiring running state information of the engine during running and inputting the running state information into the information processing module. The operating state information includes engine vibration frequency, engine speed, engine thermal conditions, engine operating efficiency, etc.
The environment information acquisition unit is used for acquiring the running environment information of the engine during running and inputting the running environment information into the information processing module. The operating environment information includes temperature, humidity, and smoke conditions of the surrounding environment when the engine is running.
Determining the model of an engine, acquiring basic parameters, arranging sensors on various parts of the engine, starting the engine, detecting data such as a connecting rod tile, flatness, clearance, pressure and the like when the engine runs, and data such as bolt tightening torque, tightening rotation angle, the ratio of the bolt tightening torque of the engine to the tightening rotation angle and the like; installing a temperature sensor to measure the thermal condition of the engine, installing a rotating speed sensor to measure the rotating speed of the engine, and calculating the vibration frequency and the operation efficiency of the engine according to the rotating speed; and setting temperature, humidity, smoke sensors and the like in a certain range of the engine to detect information parameters of surrounding environment when the engine is running.
The information processing module is used for receiving the part information, the running state information and the running environment information of the engine, processing data of the information and inputting the information into the simulation running module.
The information processing module specifically comprises:
the part information processing unit is used for classifying, sorting and screening the acquired basic part information, generating a basic part data sample based on the model of the engine, and inputting the basic part data sample into the simulation operation module.
The operation information processing unit is used for performing operations such as sequencing, screening, averaging and the like on the collected engine operation state information, generating an engine operation state data sample, and inputting the engine operation state data sample into the simulation operation module. The engine running state information is sequenced with respect to running time, and since a certain starting time is required for the engine running, data after running is stabilized is screened out, and the screened data is averaged.
The environment information processing unit is used for processing the collected surrounding environment condition information when the engine runs, generating an operating environment data sample of the engine and inputting the operating environment data sample into the simulation operation module.
And the simulation operation module is used for constructing an engine operation model and simulating engine operation based on the processed information of the engine.
The simulation operation module specifically comprises:
the model building unit is used for building an engine operation model based on the basic part data sample of the engine model;
and the simulation running unit is used for inputting the running state data sample of the engine into the constructed engine running model, simulating the running environment of the engine according to the running environment data sample of the engine, and completing the complete simulation of the engine work.
And the quality prediction module is used for predicting the faults and the residual life of the engine according to the state of the simulated operation of the engine and finishing the quality prediction of the engine.
The quality prediction module specifically comprises:
and the fault prediction unit is used for performing engine fault prediction based on the state of the engine simulated operation. And (3) inputting a normal working state range of each component of the engine and various fault generating conditions during the operation of the engine according to historical experience, judging whether the working state of each component of the engine is in the normal working state range along with the continuous operation of the engine in the running state, and automatically generating the fault prediction of the engine.
And the residual life prediction unit is used for predicting the residual life of the engine based on the state of the simulated operation of the engine and the damage degree of the predicted fault to the engine. The life average value of the detected engine model is input according to historical experience, and the residual life of the engine is predicted by combining the predicted fault type, fault occurrence time, available maintenance actions, available maintenance degree and the like.
And constructing an engine operation model in the singlechip according to the processed basic parameter information of the engine and the part information, simulating the engine operation environment according to the operation environment data sample of the engine, and inputting the operation state data sample of the engine into the constructed engine operation model to perform the simulated operation of the engine. The normal operating ranges of the respective components, and the operating conditions under which various failures occur, are set in the engine operating model according to the engine model and the history experience. With the continuous accumulated running of the engine, detecting whether the parameters of each component exceed the normal working range, when and what kind of faults can occur, and the damage degree of the faults possibly to the engine, and judging the residual life time with the continuous running of the engine and the influence on the residual life of the engine after the faults are damaged according to the average life time of the detected type of the engine.
The fault types of the engine comprise engine cold engine shake, engine heat engine shake, engine abnormal sound, engine carbon deposit, high engine water temperature, engine oil leakage and the like and the abrasion degree of parts along with the use time.
In order to further optimize the technical scheme, the engine quality prediction system provided by the embodiment further comprises a maintenance planning module, wherein the maintenance planning module is used for planning a maintenance plan according to the predicted engine fault condition and the residual life. The maintenance schedule includes determining whether maintenance is worth, whether to perform advanced maintenance or adjust operation parameters to prevent occurrence of a fault, and the like, based on the time distance between the predicted time of occurrence of the fault and the life average value of the predicted model of the engine, and the predicted type of the fault, the degree of the fault.
In order to further optimize the technical scheme, the engine quality prediction system provided by the embodiment further comprises a display alarm module, wherein the display alarm module is used for displaying and alarming the predicted fault condition, sending a maintenance plan to staff, reminding the staff to adjust the working state of the engine in time, and further checking and maintaining the predicted fault position of the engine.
In order to further optimize the technical scheme, the engine quality prediction system provided by the embodiment further comprises a remote terminal module, wherein the remote terminal module comprises a mobile phone APP, a WeChat applet and the like and is used for a manager to remotely check or monitor the real-time running condition, the simulated running condition, the predicted faults and the like of the engine and to manually make running adjustment and engine maintenance in time.
The complete working procedure of the system provided in this embodiment is as follows: the engine starts to run, basic part information of the engine is collected by a sensor stuck on the engine, and the basic part information comprises information such as connecting rod shoe detection data, flatness detection data, gap detection data, pressure detection data, engine bolt tightening torque, tightening rotation angle, the ratio of the engine bolt tightening torque to the tightening rotation angle and the like; collecting operation information of the engine based on the engine operation state monitoring, including engine vibration frequency, engine rotation speed, engine heat condition, engine operation efficiency and the like; the temperature, humidity and smoke conditions of the surrounding environment when the engine is running are collected based on the temperature, humidity, smoke sensors and the like. The information input information processing module performs operations such as information classification, sorting, screening and average value removal to generate a basic part data sample, an operation state data sample and an operation environment data sample of the engine, the basic part data sample, the operation environment data sample and the operation environment data sample are input into the simulation operation module, the operation state data sample of the engine is input into the constructed engine operation model, the operation of the engine is simulated, the operation environment is simulated in a system according to the operation environment data sample, the whole simulation operation is completed, the normal operation state range of each part of the engine is input according to the engine model and historical experience, various fault generation conditions during the operation of the engine are input, whether the operation state of each part of the engine is in the normal operation state range along with the continuous operation of the engine in the operation state is judged, the fault prediction of the engine is automatically generated, the life average value of the detected engine model is input according to the historical experience, the residual life of the engine is predicted in combination with the predicted fault type, the fault occurrence time, the available maintenance action, the maintenance degree and the like, and the quality prediction of the engine is completed.
Further, a maintenance plan can be formulated according to the predicted fault condition and the residual life of the engine, including judging whether maintenance is worth being performed or not according to the time distance between the predicted time of occurrence of the fault and the life average value of the engine of the predicted model, the predicted fault type and the degree of the fault, whether the fault is prevented by performing advanced maintenance or adjusting operation parameters, and the like, displaying the predicted fault condition of the alarm, sending the maintenance plan, reminding a worker to timely adjust the working state of the engine, further checking and maintaining the predicted fault position of the engine, and remotely checking the information through a mobile phone APP, a WeChat applet and the like.
The invention provides an engine quality prediction system, which can construct an engine model based on actual data and simulate the running condition of an engine, and predict the faults and the residual life of the engine according to set fault occurrence conditions and average life, thereby completing the quality prediction of the engine; and the corresponding maintenance plan can be made according to the predicted engine faults and the residual service life or adjusted in advance, so that the safe operation of mechanical equipment is ensured, and the service life of the engine is relatively prolonged.
The above embodiments are merely illustrative of the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but various modifications and improvements made by those skilled in the art to which the present invention pertains are made without departing from the spirit of the present invention, and all modifications and improvements fall within the scope of the present invention as defined in the appended claims.

Claims (8)

1. An engine quality prediction system, comprising: the system comprises an information acquisition module, an information processing module, a simulation operation module and a quality prediction module;
the information acquisition module is used for acquiring part information, running state information and running environment information of the engine and sending the part information, the running state information and the running environment information to the information processing module;
the information processing module is used for processing the part information, the running state information and the running environment information of the engine and sending the part information, the running state information and the running environment information to the simulation running module;
the simulation operation module is used for constructing an engine operation model and simulating engine operation based on the processed part information, operation state information and operation environment information of the engine;
and the quality prediction module is used for predicting the quality of the engine according to the simulated running condition of the engine.
2. The engine quality prediction system of claim 1, wherein the information acquisition module comprises:
the part information acquisition unit is used for acquiring basic part information of the engine based on a sensor and inputting the basic part information into the information processing module;
the operation information acquisition unit is used for acquiring the operation state information of the engine and inputting the operation state information into the information processing module;
the environment information acquisition unit is used for acquiring the surrounding environment information when the engine runs and inputting the surrounding environment information into the information processing module.
3. The engine quality prediction system of claim 2, wherein the base part information of the engine comprises: connecting rod shoe detection data, flatness detection data, clearance detection data and pressure detection data, engine bolt tightening torque, tightening rotation angle and ratio of engine bolt tightening torque to tightening rotation angle;
the running state information of the engine comprises engine vibration frequency, engine rotating speed, engine thermodynamic condition and engine running efficiency;
the ambient information during the operation of the engine comprises temperature information, humidity information and smoke information.
4. The engine quality prediction system of claim 2, wherein the information processing module comprises:
the part information processing unit is used for processing basic part information of the engine, generating a basic part data sample of the engine and inputting the basic part data sample into the simulation running module;
the operation information processing unit is used for processing the operation state information of the engine, generating an operation state data sample of the engine and inputting the operation state data sample into the simulation operation module;
and the environment information processing unit is used for processing the surrounding environment information when the engine runs, generating an operating environment data sample of the engine and inputting the operating environment data sample into the simulation operation module.
5. The engine quality prediction system of claim 4, wherein the simulated run module comprises:
the model construction unit is used for constructing an operation model of the engine according to the basic part data sample of the engine;
and the simulation running unit is used for inputting the running state data sample of the engine into the running model of the engine, simulating the running state of the engine, simulating the running environment of the engine based on the running environment data sample of the engine and completing the simulation running of the engine.
6. The engine quality prediction system of claim 5, wherein the quality prediction module comprises:
the fault prediction unit is used for predicting the engine fault based on the condition of the engine simulated operation;
and the residual life prediction unit is used for predicting the residual life of the engine based on the simulated running condition of the engine and the predicted faults.
7. The engine quality prediction system of claim 1, further comprising a maintenance planning module for planning a maintenance plan based on the predicted engine fault condition and remaining life, the engine fault condition including a fault type, a fault time, a fault extent.
8. The engine quality prediction system of claim 7, further comprising a display alarm module for displaying an alarm based on the predicted engine fault condition and for transmitting the formulated maintenance schedule to a worker.
CN202310284949.8A 2023-03-22 2023-03-22 Engine quality prediction system Pending CN116595657A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310284949.8A CN116595657A (en) 2023-03-22 2023-03-22 Engine quality prediction system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310284949.8A CN116595657A (en) 2023-03-22 2023-03-22 Engine quality prediction system

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Publication Number Publication Date
CN116595657A true CN116595657A (en) 2023-08-15

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CN202310284949.8A Pending CN116595657A (en) 2023-03-22 2023-03-22 Engine quality prediction system

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117168865A (en) * 2023-11-03 2023-12-05 南通宝佳精密机械有限公司 Protection system for electromechanical equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117168865A (en) * 2023-11-03 2023-12-05 南通宝佳精密机械有限公司 Protection system for electromechanical equipment
CN117168865B (en) * 2023-11-03 2024-04-12 南通宝佳精密机械有限公司 Electromechanical device protection system

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