CN113530675A - Diesel engine maintenance support method and system and computer storage medium - Google Patents

Diesel engine maintenance support method and system and computer storage medium Download PDF

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Publication number
CN113530675A
CN113530675A CN202010304105.1A CN202010304105A CN113530675A CN 113530675 A CN113530675 A CN 113530675A CN 202010304105 A CN202010304105 A CN 202010304105A CN 113530675 A CN113530675 A CN 113530675A
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diesel engine
maintenance
decision unit
data
monitoring system
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邵梦麟
贾书丽
孙小强
员钦升
许峰
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Shanghai Marine Diesel Engine Research Institute
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Shanghai Marine Diesel Engine Research Institute
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Priority to CN202010304105.1A priority Critical patent/CN113530675A/en
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02BINTERNAL-COMBUSTION PISTON ENGINES; COMBUSTION ENGINES IN GENERAL
    • F02B77/00Component parts, details or accessories, not otherwise provided for
    • F02B77/08Safety, indicating, or supervising devices
    • F02B77/083Safety, indicating, or supervising devices relating to maintenance, e.g. diagnostic device
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M15/00Testing of engines
    • G01M15/04Testing internal-combustion engines
    • G01M15/05Testing internal-combustion engines by combined monitoring of two or more different engine parameters

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a diesel engine maintenance support method, a diesel engine maintenance support system and a computer storage medium. The method comprises the following steps: acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine; the diesel engine monitoring system determines whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters; when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine; the diesel engine monitoring system inputs the resource searching rule to the decision unit; and the decision unit generates a corresponding maintenance guarantee scheme according to the resource searching rule. The diesel engine maintenance support method can adaptively generate a maintenance support scheme adaptive to the current abnormal state of the diesel engine and/or the alarm information so as to guide field maintenance personnel to carry out the processes of troubleshooting and/or troubleshooting, maintenance and the like of the abnormal state of the diesel engine.

Description

Diesel engine maintenance support method and system and computer storage medium
Technical Field
The invention relates to the field of diesel engine maintenance, in particular to a method and a system for ensuring the maintenance of a diesel engine and a computer storage medium.
Background
The diesel engine is used as an important power system of the ship, and whether the diesel engine can safely and reliably run for a long time or not has a vital significance for normal navigation and task execution of the ship.
When the diesel engine runs for a long time under the harsh conditions of high rotating speed and high load, the diesel engine is very easy to break down in the running process, and the use efficiency and the vitality of a ship are seriously influenced. Therefore, accurate, rapid and effective maintenance and guarantee of the diesel engine are important means for ensuring the normal operation of the ship. Therefore, the rapid, accurate and effective maintenance and guarantee method for the diesel engine is the key point of research in the field of ship power systems.
The traditional maintenance guarantee is planned maintenance set by the diesel engine leaving factory, and the maintenance plan cannot be adjusted in real time according to the running state and running environment of the diesel engine, so that excessive maintenance or serious faults occur before maintenance, and the requirements of the current ship navigation task on a power system cannot be met. Therefore, it is an urgent need to solve the problem of providing a method for ensuring the maintenance of a diesel engine, which can adjust in real time according to the operating state and the operating environment of the diesel engine.
Disclosure of Invention
In view of the above problems, it is an object of the present invention to provide a method, a system and a computer storage medium for ensuring maintenance of a diesel engine, which are used to solve at least one of the above problems.
In order to achieve the aim, the invention provides a maintenance and guarantee method for a diesel engine, which comprises the following steps:
acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
the diesel engine monitoring system determines whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters;
when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine;
the diesel engine monitoring system inputs the resource searching rule to a decision unit;
and the decision unit generates a corresponding maintenance support scheme according to the resource searching rule.
In an embodiment, the step of generating the adaptive maintenance and safeguard scheme by the decision unit according to the resource search rule includes:
carrying out format conversion on the resource searching rule received from the diesel engine monitoring system, and further converting the resource searching rule into a data format adopted by the decision unit;
according to the converted resource searching rule, linearly assembling data modules related to the abnormal state of the current diesel engine and/or the alarm phenomenon to generate the corresponding maintenance guarantee scheme;
and displaying the maintenance support scheme through a human-computer interaction interface of the decision unit.
In an embodiment, the technical data of the diesel engine comprises technical specifications, operating specifications, product histories, technical specifications, technical reports, maintenance manuals and part books;
and the decision unit compiles technical data of the diesel engine into a plurality of data modules according to a preset standard according to the structural composition of the diesel engine and the user requirements.
In an embodiment, the data modules include a description class, a procedure class, a maintenance plan class, a fault isolation class operation class, and a diagramming parts class.
In an embodiment, the decision unit converts the resource search rule sent by the diesel engine monitoring system into the data format adopted by the decision unit according to the plurality of data modules.
In an embodiment, the decision unit is an IETM decision unit.
An embodiment of the present invention further provides a computer storage medium, which stores a computer program, and when the program is executed by a processor, the method for maintaining and guaranteeing a diesel engine according to any one of the above-mentioned steps is implemented.
The implementation of the invention also discloses a maintenance support system for the diesel engine, which comprises:
the detection unit is used for acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
the diesel engine monitoring system is used for determining whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters; when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine; the diesel engine monitoring system inputs the resource searching rule to a decision unit;
and the decision unit is used for generating a corresponding maintenance guarantee scheme according to the resource searching rule.
In an embodiment, the decision unit comprises:
and the diesel engine technical information base is used for compiling technical data of the diesel engine into a plurality of data modules according to a preset standard according to the structural composition of the diesel engine and user requirements.
The data format conversion module is used for converting the resource searching rule sent by the diesel engine monitoring system into the data format adopted by the decision unit according to the data modules;
the data packet self-adaptive generation module is used for linearly assembling the data modules of description type, program type, maintenance plan type, fault isolation type operation type and graphic part type related to the abnormal state of the current diesel engine or the alarm phenomenon according to the converted resource search rule to generate the adaptive maintenance guarantee scheme;
and the data analysis module is used for controlling the data packet self-adaptive generation module.
The decision unit of the invention can adopt an IETM decision unit, thereby further drawing the information guarantee advantages of the IETM. The IETM decision unit establishes communication with the diesel engine monitoring system, and by additionally arranging a data format conversion module, a data analysis module and a data packet self-adaptive generation module in the IETM, a resource search rule request sent by the diesel engine monitoring system can be correctly received, and a data packet adaptive to the current abnormal state and/or alarm information (fault phenomenon) of the diesel engine is generated in a self-adaptive manner, so that field maintenance personnel can be guided to carry out processes such as troubleshooting and/or troubleshooting, maintenance and the like of the abnormal state of the diesel engine. Before major faults occur, management on use and maintenance of the diesel engine is effectively carried out, pertinence and effectiveness of maintenance of the diesel engine are obviously enhanced, and use efficiency of the diesel engine is improved.
Specific embodiments of the present invention are disclosed in detail with reference to the following description and drawings, indicating the manner in which the principles of the invention may be employed. It should be understood that the embodiments of the invention are not so limited in scope. The embodiments of the invention include many variations, modifications and equivalents within the spirit and scope of the appended claims.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments, in combination with or instead of the features of the other embodiments.
It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps or components.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flow chart of a method for ensuring maintenance of a diesel engine according to an embodiment of the present invention;
FIG. 2 is a flowchart of the steps for determining whether the operation state of the diesel engine is abnormal according to a plurality of diesel engine state parameters, according to an embodiment of the present invention;
fig. 3 is a flowchart of a step of generating a maintenance and safeguard scheme by the IETM decision unit according to the resource search rule according to an embodiment of the present invention;
fig. 4 is a schematic design flow diagram of an IETM decision unit according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments, it should be understood that these embodiments are merely illustrative of the present invention and are not intended to limit the scope of the present invention, and various equivalent modifications of the present invention by those skilled in the art after reading the present invention fall within the scope of the appended claims.
In order to at least partially solve the aforementioned technical problem, the present invention proposes a method for servicing and safeguarding a diesel engine by using an IETM decision unit (i.e. one type of decision unit in the claims) in combination with real-time fault detection technology.
The IETM (Interactive Electronic Technical Manual) is an information system that electronizes and structures equipment Technical data, and stores the equipment Technical data in a database after the equipment Technical data is recompiled according to a certain logic function in the information system, and is assisted with a computer or portable maintenance auxiliary equipment to interactively call the Technical data in the information system according to actual fault conditions, even intelligently reason the Technical data. The IETM has the advantages of diversified auxiliary functions, strong expressive force, convenience in inquiry, remote transmission, multi-user access, simplicity in maintenance, convenience in updating and the like, and is an important development direction for informatization of the current diesel engine guarantee system.
According to the method, an IETM decision unit is introduced, on the basis of identifying the abnormal state of the diesel engine in real time, a maintenance decision unit based on the IETM of the abnormal state is established, reasonable maintenance guarantee suggestions can be given according to the running state of the diesel engine, further, the diesel engine equipment can be guaranteed to find faults in time, meanwhile, a set of proper maintenance guarantee suggestions can be obtained relatively quickly after the faults are found, and further, the working efficiency and the stability of the diesel engine are improved.
The invention relates to a maintenance and guarantee method of a diesel engine, which mainly comprises two major steps, namely (1) firstly, acquiring diesel engine running state data through a field acquisition module, monitoring, alarming and identifying abnormal states of the diesel engine running data, and then sending the alarming or identified abnormal states to an IETM decision unit (namely one type of decision unit in the claims); (2) and the IETM decision unit searches for faults, analyzes fault reasons and positions the faults according to the received fault phenomenon information, and finally performs maintenance guidance to complete maintenance guarantee of the diesel engine. The invention draws the advantages of the IETM and combines the identification of the abnormal state of the diesel engine, effectively carries out the management of the use and the maintenance of the diesel engine before major faults occur, obviously enhances the pertinence and the effectiveness of the maintenance of the diesel engine, improves the use efficiency of the diesel engine and ensures the safe navigation of ships.
At least one embodiment of the method for ensuring maintenance of a diesel engine according to the present invention will be described in detail below, and as shown in fig. 1, the method may specifically include the following steps:
s101: acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
s102: the diesel engine monitoring system determines whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters;
s103: when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine;
s104: the diesel engine monitoring system inputs the resource searching rule to the IETM decision unit;
s105: and the IETM decision unit generates a corresponding maintenance support scheme according to the resource searching rule.
In the present embodiment, S102: the diesel engine monitoring system determines whether the running state of the diesel engine is abnormal according to a plurality of diesel engine state parameters
First, can be set to existn mutually independently distributed inputs are m-dimensional vectors XiSample sets (e.g., sample sets M1 and M2) consisting of samples whose outputs are yi (normal or abnormal) labels, the M-dimensional vector X of which inputsiComprises the following components: the number of revolutions of the diesel engine, the oil temperature, the oil pressure, the fuel temperature, the fuel pressure, the cooling water temperature, the bearing temperature, etc. can be expressed as { (X)1,y1),(X2,y2),...,(Xn,yn) In which X isi=(xi1,xi2,...,xi5). Referring to fig. 2, specifically applied to the present project, a kind of support vector machine algorithm is calculated as follows:
s1021: defining a sensor data sample set M1 containing M diesel engine normal states and a sensor data sample set M2 containing n diesel engine abnormal states, wherein the parameters M and n are used for controlling the number of sample selections;
in this step, the parameters m and n are selected through multiple experiments, and T is a training sample set. The sample set M1 comprises diesel engine normal state parameters acquired in the diesel engine maintenance and guarantee process; the sample set M2 comprises abnormal state parameters of the diesel engine obtained in the maintenance and guarantee process of the diesel engine. Therefore, the method can continuously improve the accuracy of fault detection by acquiring a large amount of parameter data and performing self-learning in the using process.
S1022: respectively using a mean shift clustering algorithm for the data in the data sample set M1 and the data sample set M2, and respectively recording M1 clustering centers and M2 clustering centers of various samples in the data sample set M1 and the data sample set M2;
s1023: respectively calculating the distance from the M1 clustering center of each type of data in the data sample set M1 to the M2 clustering center of each type of data in the data sample set M2, and recording the distance as di; respectively calculating the distance from the M2 clustering center of each type of data in the data sample set M2 to the M1 clustering center of each type of data in the data sample set M1, and recording the distance as dj;
s1024: selecting the top M classes nearest to the data sample set M2 and the farthest n classes in the data sample set M1, and marking data sample points;
s1025: selecting the top M classes nearest to the data sample set M1 and the farthest n classes in the data sample set M2, and marking data sample points;
s1026: constructing a hypersphere according to the data sample points marked in step S104, such that the hypersphere includes at least part of the data sample points;
for example, more than 90% of the data sample points may be included on the hypersphere.
S1027: minimizing the radius R of the hypersphere by a set constraint condition so as to optimize the hypersphere;
in the step, aiming at isolated data existing outside the hypersphere, a relaxation variable factor xi is introducediThe relaxation variable factor xiiFor optimizing the error penalty and the hypersphere radius R such that the sum of the two is minimized, i.e.
f(R,α,ξi)=R2+C∑ξi
(xi-α)(xi-α)T≤R2i
Wherein ξiAnd the error penalty variable is more than or equal to 0, alpha is the center of the hypersphere, R is the radius, and C represents the error penalty variable. Thereby introducing a Lagrange multiplier alphaiiThe function is
f(R,α,αii)=R2+C∑ξi-∑γiξi∑αi(R2i-(xi-α)2)
Simultaneously, optimizing the hypersphere still includes: the process adjusts the parameters in S107 so that the marker sample in S104 is contained most in the hypersphere and the marker sample in S105 is contained least in the hypersphere.
S1028: judging whether the obtained plurality of diesel engine state parameters are in the hypersphere, if not, judging that the diesel engine running state is abnormal, for example, calculating sample inputX of (2)iAnd if the sample is in the hypersphere, the sample is a normal sample, otherwise, the sample is an abnormal sample, and the abnormal detection of the running state of the diesel engine is completed.
In the above embodiment, the method of the present invention uses a kind of support vector machine method to detect the abnormality of the operating state of the diesel engine. Regarding a kind of support vector machine method, in fault diagnosis and anomaly detection applications, due to too great difficulty or high cost of sample acquisition, only a kind of samples can be obtained or the obtained sample types are extremely unbalanced, and a common anomaly detection method cannot well handle such a situation. Therefore, the detection can only use one type of sample to train the classifier, so the detection is called one type of classification. The support vector machine method is an effective classification method, and the basic idea is to search a minimum surrounding hypersphere capable of surrounding all normal sample points in a feature space.
Therefore, the invention utilizes a kind of support vector machine technology of machine learning in the process of maintaining and guaranteeing the diesel engine, and the support vector machine has online learning capability, so that the problem of poor adaptability of running state identification of the diesel engine caused by different running working conditions and running environments can be solved, and the invention has higher accuracy, robustness and adaptability in the aspect of identifying abnormal states of the diesel engine, and can be applied to occasions with complex running environments of the diesel engine
Referring to fig. 3, when an abnormal state, such as low oil pressure, is identified in the operation process of the diesel engine through the above steps, a resource search rule may be generated according to the identified abnormal state; the resource lookup rule is then input to an IETM decision unit, which may perform the following steps:
s1051: performing format conversion on the resource searching rule received from the diesel engine monitoring system, and further converting the resource searching rule into a data format adopted by the IETM decision unit;
s1052: according to the converted resource searching rule, linearly assembling data modules related to the abnormal state of the current diesel engine and/or the alarm phenomenon to generate the corresponding maintenance guarantee scheme;
in the step, the technical data of the diesel engine comprise a technical specification, an instruction book, a product record, a technical specification, a technical report, a maintenance manual and a part book; and the IETM decision unit compiles technical data of the diesel engine into a plurality of data modules according to a preset IETM standard according to the structural composition of the diesel engine and the user requirements. The data modules include a description class, a program class, a maintenance plan class, a fault isolation class operation class, and a data module illustrating a part class.
S1053: and displaying the maintenance support scheme through a human-computer interaction interface of the IETM decision unit.
Preferably, in step S1052, the illustration and part information required for the maintenance work can be searched through the illustration and part data module in the IETM decision unit, and the detailed information of the model, specification, manufacturer, etc. of the required equipment can be obtained from the spare part list, so as to help the user to lock the spare part quickly.
Through the steps, the maintenance guarantee of the diesel engine based on the IETM decision unit is finally realized, the IETM of the diesel engine collects and displays maintenance items of the diesel engine according to preset time, and a user is helped to perform preventive maintenance operation according to the using state of the diesel engine.
Illustratively, the IETM decision unit, in order to implement its functionality, may include the following modules: the system comprises a diesel engine technical information base, a data format conversion module, a data analysis module and a data packet self-adaptive generation module.
The diesel engine technical information base is used for compiling technical data (including technical specifications, operating specifications, product records, technical specifications, technical reports, maintenance manuals, part books and the like) of the diesel engine into a plurality of data modules according to preset IETM standards according to the structural composition and user requirements of the diesel engine.
The data format conversion module is used for converting the resource searching rule sent by the diesel engine monitoring system into the data format adopted by the IETM decision unit according to the data modules;
the data packet self-adaptive generation module is used for linearly assembling the data modules of description type, program type, maintenance plan type, fault isolation type operation type and graphic part type related to the abnormal state of the current diesel engine or the alarm phenomenon according to the converted resource search rule to generate the adaptive maintenance guarantee scheme;
and the data analysis module is used for controlling the data packet self-adaptive generation module.
Therefore, the method can monitor the running state of the diesel engine in real time, the abnormal state is sent to the IETM decision unit before the alarm occurs, the IETM decision unit utilizes the logic engine to carry out linear assembly on data modules such as maintenance guidance, fault isolation, installation/disassembly programs, spare parts and the like according to the received abnormal state information of the diesel engine, a diesel engine self-maintenance data packet is generated through rapid matching and is used for being looked up by maintenance personnel, the maintenance personnel can rapidly locate the reason of the abnormality according to flow guidance and find an abnormality removing method, the effect of preventive maintenance is achieved, and the success rate of diesel engine maintenance can be effectively improved.
Further, for the design of the IETM decision unit, in conjunction with fig. 4, the following design ideas and steps can be adopted:
(1) the overall technical requirements are as follows: determining the technical problems to be solved by the IETM decision unit, the technical field of application and the like according to the actual situation
(2) Determining the data source: analyzing the data sources needed by the diesel engine IETM decision making unit to compile the contents of the diesel engine IETM manual, and determining the need for additional intelligent data, such as: expert storehouses, fault storehouses, maintenance storehouses and the like.
(3) Designing an interaction mode: determining an interactive mode of the IETM decision unit of the diesel engine and the intelligent application system, specifically an interface and interactive process, a communication rule, an error information processing mechanism and a waiting mechanism, and finally determining an integrated mode of the IETM decision unit of the diesel engine and the intelligent application system.
(4) The design system structure comprises a data layer, a management layer and an application layer. And (3) compiling a knowledge base acquired by an IETM (Internet engineering technology) manual of the diesel engine and a newly-added intelligent knowledge base by designing a data layer, and determining a theoretical relationship between the knowledge bases through evaluation, testing, backtracking, retesting and demonstration. The management layer is mainly responsible for connecting the application layer and the data layer, and mainly designs a database manager, verifies the design rule of the application layer, verifies whether the generated or obtained information object is effective, and realizes basic operations of adding, modifying, deleting and the like of the knowledge base. And the application layer is applied to the interface of the intelligent application system.
(5) And (4) verifying functions and performances: and (5) testing and verifying the function and the performance of the integrated database.
The invention also discloses a computer storage medium. The computer storage medium has stored thereon a computer program that, when executed by a processor, performs the steps of the diesel engine maintenance support method.
The invention also discloses a maintenance support system for the diesel engine, which comprises the following components in an exemplary embodiment:
the detection unit is used for acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
the diesel engine monitoring system is used for determining whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters; when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine; the diesel engine monitoring system inputs the resource searching rule to an IETM decision unit;
and the IETM decision unit is used for generating a corresponding maintenance guarantee scheme according to the resource searching rule.
In an exemplary embodiment, the IETM decision unit includes:
and the diesel engine technical information base is used for compiling technical data of the diesel engine into a plurality of data modules according to a preset IETM standard according to the structural composition of the diesel engine and the user requirements.
A data format conversion module, configured to convert the resource lookup rule sent by the diesel engine monitoring system into the data format adopted by the IETM decision unit according to the plurality of data modules;
the data packet self-adaptive generation module is used for carrying out linear assembly on the data modules of description type, program type, maintenance plan type, fault isolation type operation type and graphic part type related to the abnormal state of the current diesel engine or the alarm phenomenon according to the converted resource search rule to generate the adaptive maintenance guarantee scheme;
and the data analysis module is used for the control data packet self-adaptive generation module.
It should be noted that although a plurality of different implementations are described in the foregoing, the implementations are not mutually exclusive, and those skilled in the art may obtain other implementations by combining, crossing, merging, etc. with each other on the basis of the above implementations, and the implementations should also fall within the scope of the embodiments of the present disclosure.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the foregoing illustrative embodiments are merely exemplary and are not intended to limit the scope of the invention thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination. The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules in an item analysis apparatus according to embodiments of the present invention. The present invention may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiment of the present invention or the description thereof, and the protection scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the protection scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (9)

1. A diesel engine maintenance and guarantee method is characterized by comprising the following steps:
acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
the diesel engine monitoring system determines whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters;
when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine;
the diesel engine monitoring system inputs the resource searching rule to a decision unit;
and the decision unit generates a corresponding maintenance support scheme according to the resource searching rule.
2. The diesel engine maintenance support method of claim 1, wherein the step of generating an adaptive maintenance support plan by the decision unit according to the resource search rule comprises:
carrying out format conversion on the resource searching rule received from the diesel engine monitoring system, and further converting the resource searching rule into a data format adopted by the decision unit;
according to the converted resource searching rule, linearly assembling data modules related to the abnormal state of the current diesel engine and/or the alarm phenomenon to generate the corresponding maintenance guarantee scheme;
and displaying the maintenance support scheme through a human-computer interaction interface of the decision unit.
3. The method for maintaining and ensuring the diesel engine according to claim 2, wherein the technical data of the diesel engine comprises technical specifications, operating specifications, product histories, technical specifications, technical reports, maintenance manuals and part books;
the decision unit compiles technical data of the diesel engine into a plurality of data modules according to a preset standard according to the structural composition of the diesel engine and user requirements.
4. The diesel engine maintenance support method of claim 2, wherein the data modules include data modules of a description class, a procedure class, a maintenance plan class, a fault isolation class operation class, and a diagrammatical part class.
5. The diesel engine maintenance and safeguard method according to claim 4, wherein the decision unit converts the resource search rule sent by the diesel engine monitoring system into the data format adopted by the decision unit according to a plurality of the data modules.
6. The diesel engine maintenance and protection method according to claim 1, wherein the decision unit is an IETM decision unit.
7. A computer storage medium, characterized in that the computer storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the diesel engine maintenance and protection method according to any one of claims 1 to 6.
8. A diesel engine maintenance support system, comprising:
the detection unit is used for acquiring a plurality of diesel engine state parameters through a plurality of sensors arranged on the diesel engine;
the diesel engine monitoring system is used for determining whether the running state of the diesel engine is abnormal or not according to the plurality of diesel engine state parameters; when the running state of the diesel engine is abnormal, the diesel engine monitoring system generates a resource searching rule according to the identified abnormal state and/or alarm information and in combination with other state parameters and/or fault phenomena of the diesel engine; the diesel engine monitoring system inputs the resource searching rule to a decision unit;
and the decision unit is used for generating a corresponding maintenance guarantee scheme according to the resource searching rule.
9. The diesel engine maintenance support system of claim 8, wherein said decision unit comprises:
the technical information base of the diesel engine is used for compiling technical data of the diesel engine into a plurality of data modules according to a preset standard according to the structural composition of the diesel engine and the requirements of users;
the data format conversion module is used for converting the resource searching rule sent by the diesel engine monitoring system into the data format adopted by the decision unit according to the data modules;
the data packet self-adaptive generation module is used for linearly assembling the data modules of description type, program type, maintenance plan type, fault isolation type operation type and graphic part type related to the abnormal state of the current diesel engine or the alarm phenomenon according to the converted resource search rule to generate the adaptive maintenance guarantee scheme;
and the data analysis module is used for controlling the data packet self-adaptive generation module.
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