CN116537965B - On-line monitoring and fault diagnosis device for diesel engine - Google Patents
On-line monitoring and fault diagnosis device for diesel engine Download PDFInfo
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 84
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- 238000011065 in-situ storage Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 6
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D41/00—Electrical control of supply of combustible mixture or its constituents
- F02D41/22—Safety or indicating devices for abnormal conditions
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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
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- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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Abstract
The invention relates to an on-line monitoring and fault diagnosis device of a diesel engine, which comprises a diesel engine body monitoring unit, an original acquisition unit, an equipment operation monitoring unit, an on-site signal acquisition unit and a data analysis processing unit, wherein the original acquisition unit is connected with the equipment operation monitoring unit; the diesel engine body monitoring unit monitors the diesel engine body and outputs an original signal; the original acquisition unit acquires original signals; the equipment operation monitoring unit monitors the diesel engine in the operation process and outputs an operation monitoring signal; the on-site signal acquisition unit acquires operation monitoring signals; and the data analysis processing unit is used for carrying out analysis processing and fault diagnosis according to the original signal and the operation monitoring signal. The invention can realize the processing and trend analysis of all the original data of the diesel engine, monitor and trend analysis of operation monitoring data, realize the omnibearing monitoring and fault diagnosis of the diesel engine, avoid abnormal accidents and solve the problem of incomplete data recording.
Description
Technical Field
The invention relates to the technical field of diesel engines, in particular to an on-line monitoring and fault diagnosis device for a diesel engine.
Background
The nuclear power MTU diesel engine (such as MTU diesel engine) is used for supplying power to nuclear auxiliary facilities when the whole plant is powered off, ensuring the safe shutdown of a reactor, preventing important equipment from being damaged due to the power failure of a factory power system, the current nuclear power MTU diesel engine is controlled by a PLC and a relay, the original data can be recorded in real time and can not be searched in a historical way, the number of times of data recording of the searched switching value data is limited, the analog data is not fully recorded, the monitoring function is imperfect, characteristic parameters are lacked, problems can not be found in time when the diesel engine has abnormal accidents, the problems can be processed in time, and the analysis data of root causes after the abnormal accidents are insufficient.
Disclosure of Invention
The invention aims to solve the technical problem of providing an on-line monitoring and fault diagnosis device for a diesel engine.
The technical scheme adopted for solving the technical problems is as follows: an on-line monitoring and fault diagnosis device for a diesel engine is constructed, comprising: the system comprises a diesel engine body monitoring unit, an original acquisition unit, an equipment operation monitoring unit, an on-site signal acquisition unit and a data analysis processing unit;
The diesel engine body monitoring unit is used for monitoring the diesel engine body and outputting an original signal;
The original acquisition unit is connected with the diesel engine body monitoring unit and is used for acquiring the original signals;
The equipment operation monitoring unit is used for monitoring the diesel engine in the operation process and outputting an operation monitoring signal;
the on-site signal acquisition unit is connected with the equipment operation monitoring unit and is used for acquiring the operation monitoring signal;
The data analysis processing unit is respectively connected with the original acquisition unit and the on-site signal acquisition unit and is used for carrying out analysis processing and fault diagnosis according to the original signals and the operation monitoring signals.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the device operation monitoring unit comprises: the device comprises a vibration monitoring module, a pressure monitoring module and a temperature monitoring module;
the vibration monitoring module is used for monitoring vibration in the running process of the diesel engine to obtain a vibration monitoring signal;
the pressure monitoring module is used for monitoring pressure in the running process of the diesel engine to obtain a pressure monitoring signal;
The temperature monitoring module is used for monitoring the temperature in the running process of the diesel engine to obtain a temperature monitoring signal.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the vibration monitoring module comprises: a first vibration sensor, a rotation speed sensor, and a second vibration sensor;
the first vibration sensor is arranged on the diesel engine body and used for monitoring the vibration of the diesel engine body to obtain a vibration signal of the diesel engine;
The rotating speed sensor is arranged on the diesel engine body and is used for monitoring the rotating speed of the diesel engine body to obtain a rotating speed signal of the diesel engine;
The second vibration sensor is arranged at the bearing end of the generator and is used for monitoring the vibration of the generator to obtain a vibration signal of the generator.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the pressure monitoring module comprises: a pressure sensor;
the pressure sensor is arranged on the crankcase and used for monitoring the pressure of the crankcase to obtain a pressure signal of the crankcase.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the temperature monitoring module comprises: a temperature sensor;
the temperature sensor is arranged on the cover plate of the crankcase and used for monitoring the temperature of the splash oil to obtain a temperature signal of the splash oil.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the data analysis processing unit includes: the system comprises a data acquisition module, a data communication module, a fault analysis and diagnosis module, a data storage module and a data display module;
the data acquisition module is respectively connected with the original acquisition unit and the on-site signal acquisition unit and is used for acquiring the original signal and the operation monitoring signal;
the fault analysis and diagnosis module is connected with the data acquisition module and is used for carrying out analysis and diagnosis on the fault according to the original signal and the operation monitoring signal to obtain analysis and treatment data and fault diagnosis data;
The data communication module is respectively connected with the data acquisition module, the data storage module, the data display module and the fault analysis and diagnosis module and is used for executing data transfer transmission among the data acquisition module, the data storage module, the data display module and the fault analysis and diagnosis module;
The data storage module is used for storing the original signals, the operation monitoring signals, the analysis processing data and the fault diagnosis data;
The data display module is used for displaying the original signal, the operation monitoring signal, the analysis processing data and the fault diagnosis data.
In the on-line monitoring and fault diagnosis device for diesel engine of the present invention, the fault analysis and diagnosis module comprises: the system comprises a data anomaly monitoring sub-module, a data statistics analysis and prediction sub-module and a fault positioning algorithm sub-module;
The data anomaly monitoring sub-module is used for carrying out anomaly monitoring according to the original signal and the operation monitoring signal to obtain anomaly monitoring data;
the data statistical analysis prediction submodule is used for carrying out analysis prediction according to the original signal and the operation monitoring signal to obtain abnormal prediction data;
the fault positioning algorithm sub-module is used for carrying out fault diagnosis according to the original signal and the operation monitoring signal to obtain fault diagnosis data.
In the on-line monitoring and fault diagnosis device for the diesel engine, the data statistical analysis prediction submodule adopts a differential integration moving average autoregressive model and a support vector regression model to carry out statistical analysis so as to obtain the abnormal prediction data;
or the data statistical analysis prediction submodule adopts a statistical analysis method to conduct abnormal analysis so as to obtain the abnormal prediction data.
In the on-line monitoring and fault diagnosis device for the diesel engine, the fault positioning algorithm submodule adopts a vibration analysis method and/or an instantaneous rotation speed analysis method to carry out fault diagnosis, and fault diagnosis data are obtained.
The on-line monitoring and fault diagnosis device for the diesel engine further comprises: an early warning module;
The early warning module is connected with the data analysis processing unit and is used for outputting a fault early warning signal according to the fault diagnosis data output by the data analysis unit.
The diesel engine on-line monitoring and fault diagnosis device has the following beneficial effects: the system comprises a diesel engine body monitoring unit, an original acquisition unit, an equipment operation monitoring unit, an on-site signal acquisition unit and a data analysis processing unit; the diesel engine body monitoring unit monitors the diesel engine body and outputs an original signal; the original acquisition unit acquires original signals; the equipment operation monitoring unit monitors the diesel engine in the operation process and outputs an operation monitoring signal; the on-site signal acquisition unit acquires operation monitoring signals; and the data analysis processing unit is used for carrying out analysis processing and fault diagnosis according to the original signal and the operation monitoring signal. The invention can realize the processing and trend analysis of all the original data of the diesel engine, monitor and trend analysis of operation monitoring data, realize the omnibearing monitoring and fault diagnosis of the diesel engine, avoid abnormal accidents and solve the problem of incomplete data recording.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic block diagram of an on-line monitoring and fault diagnosis device for a diesel engine provided by the invention;
FIG. 2 is a layout diagram of a post-retrofit diesel engine monitoring provided by the present invention;
FIG. 3 is a schematic diagram of threshold detection based on statistical analysis provided by the present invention;
FIG. 4 is a schematic diagram of an interface for alarms and logs provided by 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.
FIG. 1 is a diagram of an on-line monitoring and fault diagnosis device for a diesel engine provided by the invention. The on-line monitoring and fault diagnosis device for the diesel engine is a newly added set of on-line monitoring and fault diagnosis device, is not connected into an original control system, only monitors, alarms and data analysis are carried out on the diesel engine, and the starting and running logic of the existing diesel engine is not affected. The diesel engine on-line monitoring and fault diagnosis device can be suitable for nuclear power MTU diesel engines.
As shown in fig. 1, the diesel engine on-line monitoring and fault diagnosis apparatus includes: the system comprises a diesel engine body monitoring unit 11, an original acquisition unit 12, an equipment operation monitoring unit 13, an in-situ signal acquisition unit 14 and a data analysis processing unit 15.
In this embodiment, the diesel engine body monitoring unit 11 is used for monitoring the diesel engine body and outputting an original signal. Wherein the original signal comprises: cylinder exhaust temperature, lubricating oil temperature, key instrument control parameters, key electrical parameters, key switching value and the like. The data can be monitored by the monitoring equipment corresponding to the existing diesel engine.
The original acquisition unit 12 is connected with the diesel engine body monitoring unit 11 and is used for acquiring original signals.
In this embodiment, the primary-mother collection unit may collect related signals for a PLC controller disposed in a cabinet of an electrical room. The original signals collected by the PLC controller are converted by the communication converter and then transmitted to the data analysis processing unit 15. The communication converter may be selected to meet the requirement of data communication between the PLC controller and the data analysis processing unit 15, which is not particularly limited in the present invention.
The device operation monitoring unit 13 is used for monitoring the diesel engine during operation and outputting an operation monitoring signal.
In the present embodiment, the device operation monitoring unit 13 includes: a vibration monitoring module 131, a pressure monitoring module 132, and a temperature monitoring module 133. The vibration monitoring module 131 is used for performing vibration monitoring in the running process of the diesel engine to obtain a vibration monitoring signal; the pressure monitoring module 132 is used for performing pressure monitoring during the operation of the diesel engine to obtain a pressure monitoring signal; the temperature monitoring module 133 is configured to perform temperature monitoring during a diesel engine operation process to obtain a temperature monitoring signal.
In this embodiment, the vibration monitoring module 131 includes: a first vibration sensor, a rotational speed sensor, and a second vibration sensor. The first vibration sensor is arranged on the diesel engine body and used for monitoring the vibration of the diesel engine body to obtain a vibration signal of the diesel engine. Wherein, the vibration signal of the diesel engine includes: crankcase vibration signals, transmission case vibration signals, turbocharger vibration signals, and cylinder head vibration signals. The crankcase vibration signal is obtained by monitoring a vibration sensor arranged on the crankcase, the transmission case vibration signal is obtained by monitoring a vibration sensor arranged on the transmission case, the turbocharger vibration signal is obtained by monitoring a vibration sensor arranged on the turbocharger, and the cylinder cover vibration signal is obtained by monitoring a vibration sensor arranged on the cylinder cover.
The rotating speed sensor is arranged on the diesel engine body and used for monitoring the rotating speed of the diesel engine body and obtaining a rotating speed signal of the diesel engine. The second vibration sensor is arranged at the bearing end of the generator and is used for monitoring the vibration of the generator to obtain a vibration signal of the generator.
Further, in the present embodiment, the device operation monitoring unit 13 further includes: the key phase sensor is arranged on the diesel engine body, and key phase signals of the diesel engine can be monitored and collected in real time through the key phase sensor.
In this embodiment, the pressure monitoring module 132 includes: a pressure sensor; the pressure sensor is arranged on the crankcase and used for monitoring the pressure of the crankcase to obtain a pressure signal of the crankcase.
In this embodiment, the temperature monitoring module 133 includes: a temperature sensor; the temperature sensor is arranged on the cover plate of the crankcase and used for monitoring the temperature of the splashed oil to obtain a temperature signal of the splashed oil.
In this embodiment, according to the characteristics of the MTU diesel engine, 2 pressure sensors may be installed, 2 vibration sensors on the generator bearing may be installed, 6 vibration sensors on the curve box may be installed, 10 temperature sensors for splash oil temperature may be installed, 2 vibration sensors on the transmission box may be installed, 5 vibration sensors on the turbocharger may be installed, 1 key phase sensor may be installed, 1 rotation speed sensor may be installed (instantaneous rotation speed is monitored), and 20 vibration sensors on the cylinder cover may be installed. A specific mounting layout is shown in fig. 2.
The in-situ signal acquisition unit 14 is connected with the equipment operation monitoring unit 13 and is used for acquiring operation monitoring signals. In this embodiment, the in-situ signal acquisition unit 14 includes a first in-situ signal acquisition module 141 and a second in-situ signal acquisition module 142. The first in-situ signal acquisition module 141 is connected to the first vibration monitoring module 131, and is configured to acquire a vibration signal in situ. The second in-situ signal acquisition module 142 is connected to the pressure monitoring module 132 and the temperature monitoring module 133, respectively, and is configured to perform in-situ acquisition on the pressure monitoring signal and the temperature monitoring signal. In this embodiment, the first in-situ signal acquisition module 141 and the second in-situ signal acquisition module 142 are in-situ signal acquisition boxes, and by setting the in-situ signal acquisition boxes in the diesel engine hall, signals of newly added sensors can be acquired, and the acquired signals are transmitted to the data analysis processing unit 15 between the electric appliances.
The data analysis processing unit 15 is respectively connected with the original acquisition unit 12 and the local signal acquisition unit 14, and is used for performing analysis processing and fault diagnosis according to the original signal and the operation monitoring signal.
In the present embodiment, the data analysis processing unit 15 includes: the system comprises a data acquisition module 151, a data communication module 152, a fault analysis diagnosis module 153, a data storage module 154 and a data display module 155.
Specifically, in this embodiment, the data acquisition module 151 is connected to the original acquisition unit 12 and the in-situ signal acquisition unit 14, respectively, and is configured to acquire an original signal and an operation monitoring signal. The data acquisition module 151 performs data acquisition in a frequency division manner, wherein the frequency adopted can be determined according to practical applications, and the invention is not particularly limited.
In this embodiment, the fault analysis and diagnosis module 153 is connected to the data acquisition module 151, and is configured to perform analysis processing and fault diagnosis according to the original signal and the operation monitoring signal, so as to obtain analysis processing data and fault diagnosis data.
The data communication module 152 is respectively connected to the data acquisition module 151, the data storage module 154, the data display module 155 and the fault analysis and diagnosis module 153, and is used for performing data transfer transmission among the data acquisition module 151, the data storage module 154, the data display module 155 and the fault analysis and diagnosis module 153. Specifically, the data communication module 152 sends the signals collected by the data collection module 151 to the data storage module 154 in real time, the data storage module 154 stores the signals, the data communication module 152 also sends the signals collected by the data collection module 151 to the fault analysis diagnosis module 153 and the data display module 155, and sends the fault diagnosis data output by the fault analysis diagnosis module 153 to the data storage module 154, and the data storage module 154 stores the fault diagnosis data.
In this embodiment, the data storage module 154 is configured to store raw signals, operation monitoring signals, analysis processing data, and fault diagnosis data.
The data display module 155 is used for displaying the original signal, the operation monitoring signal, the analysis processing data and the fault diagnosis data.
Specifically, in the present embodiment, the fault analysis and diagnosis module 153 includes: the system comprises a data anomaly monitoring sub-module, a data statistics analysis and prediction sub-module and a fault location algorithm sub-module.
In this embodiment, the data anomaly monitoring sub-module is configured to perform anomaly monitoring according to the original signal and the operation monitoring signal, so as to obtain anomaly monitoring data. Specifically, the data anomaly monitoring submodule monitors signals in real time by mainly running methods such as correlation and time sequence analysis of data based on traditional threshold judgment, and gives corresponding anomaly monitoring data when the signals change from correlation of main factors or when numerical trend changes possibly exceed a threshold value, so that overrun time can be estimated according to the anomaly monitoring data to realize dynamic monitoring. Compared with the traditional threshold judgment, the method can find the hidden problem hidden in the deep data, analyze the change rule in advance and better control the risk of the system.
The data statistical analysis prediction submodule is used for carrying out analysis prediction according to the original signal and the operation monitoring signal to obtain abnormal prediction data.
Specifically, in this embodiment, the data statistical analysis prediction submodule performs statistical analysis by using a differential integration moving average autoregressive model (ARIMA (Autoregressive Integrated Moving Average model) model) and a support vector regression model (SVR (Support Vector Regression) model) to obtain abnormal prediction data. Specifically, the ARIMA model is one of the time series prediction analysis methods, the SVR model is an application to regression problem, the SVR model takes the comprehensive distance from the actual positions of all samples to the linear function as loss, and the parameters of the linear function are obtained by minimizing the loss. According to the invention, the ARIMA model and the SVR model are combined for prediction, and then the relation between the actual value and the confidence interval is judged, so that the purpose of abnormality detection is achieved.
Or in other embodiments, the data statistical analysis prediction submodule may perform anomaly analysis by adopting a statistical analysis method to obtain anomaly prediction data. The statistical analysis method is an analysis method based on statistics, and calculates the average value and variance by counting all data, and then obtains a judgment threshold value based on the average value and the variance. Specifically, assuming that the average value is μ and the variance is σ, the judgment threshold is: mu + -3 sigma, if the monitored signal or data is within the judging threshold range, judging that no abnormality exists, and if the monitored signal or data exceeds the threshold range, judging that the abnormality exists. A schematic diagram of threshold detection based on statistical analysis is shown in fig. 3.
In this embodiment, the fault location algorithm submodule is configured to perform fault diagnosis according to the original signal and the operation monitoring signal, and obtain fault diagnosis data.
Specifically, in this embodiment, the fault location algorithm submodule may be integrated by multiple common algorithms, and a weighted selection is performed according to a model obtained by each algorithm, and a predicted fault location is given comprehensively. For example, the fault locating algorithm submodule may perform fault diagnosis by using a vibration analysis method and/or an instantaneous rotation speed analysis method to obtain fault diagnosis data.
In this embodiment, the fault location algorithm sub-module may effectively diagnose the following faults:
1. Wear-type failure: the abrasion of the main shaft bush and the abrasion of the cross pin bush and the failure of cylinder pulling;
2. fracture type failure: connecting rod fracture, connecting rod bolt fracture, piston rod fracture, valve fracture, piston ring fracture and transmission gear tooth breakage;
3. Impact type failure: a cylinder collision and a liquid impact;
4. Performance class failure: misfire, increased fuel consumption, etc.
Further, in this embodiment, the on-line monitoring and fault diagnosis device for a diesel engine further includes: an early warning module; the early warning module is connected with the data analysis processing unit 15 and is used for outputting a fault early warning signal according to the fault diagnosis data output by the data analysis unit. For example, when it is determined that a hidden defect occurs in the diesel engine according to the fault diagnosis data outputted from the fault analysis and diagnosis module 153, a corresponding fault early warning signal may be generated, so as to remind operating and maintenance personnel of timely intervention, and prevent irreversible faults of the equipment caused by expansion of accidents.
In the original design of the MTU diesel engine (also called a diesel generator set) of the nuclear power station, the existing parameters of the diesel generator set can be subjected to secondary analysis and trend analysis only by a maintainer so as to ensure that the diesel generator set can safely and stably operate, and the defects of small data size, incomplete parameters, low analysis efficiency, back-end management and the like exist. In order to solve the problems, the on-line monitoring and fault diagnosis device for the diesel engine has the data processing capacity of a plurality of parameters such as the vibration, the temperature, the pressure, the rotating speed and the key of the diesel engine, and realizes the following steps by adding the temperature, the pressure, the rotating speed and the key to be equal: original parameter data processing and trend analysis; on-line data monitoring and fault diagnosis of oil throwing temperature, crankcase pressure, engine body vibration, single-cylinder vibration, rotating speed, key and the like of each cylinder; transverse comparison analysis of related data; parameter monitoring, early warning and alarming; the running state of the diesel engine is monitored in all directions, the fault aura is judged in advance, meanwhile, a basis can be provided for later data analysis, for example, one-to-one targeted monitoring analysis of the diesel engine is completed through long-term data accumulation and processing, the state of the main power component of the diesel engine is known and controllable, trend analysis and fault early warning are completed before abnormality occurs, a reliable basis is provided for fault analysis and timely intervention of on-site guard personnel, the equipment fault pre-judging capability and the abnormal event analyzing capability are effectively improved, and the emergency equipment reliability is guaranteed to a greater extent.
The following description will be made by taking a specific implementation function implemented by a certain nuclear power plant as an example.
Specifically, a vibration collector (i.e., a vibration sensor) is taken as an example to introduce a real-time display function of the monitoring module. Clicking a menu bar 'monitoring module' on a display interface of the data display module 155, displaying submenus of 5 devices by a menu bar drop-down list, and clicking a 'vibration collector' to enter a 'vibration collector' device real-time measuring point display interface. The interface displays the real-time value and the alarm value of the vibration measuring point, and the measuring point is refreshed once in real time for 1 second.
Further, the fuel system is taken as an example to introduce a subsystem parameter real-time display function. Specifically, clicking the "subsystem parameter" of the menu bar "clicks the" fuel system "on the display interface of the data display module 155, and entering the real-time measurement point display interface of the" fuel system "system, where the interface displays the real-time value of the measurement point related to the fuel system; when the switching value is 1, the indicator light is bright red, and when the switching value is 0, the indicator light is dark green. The on-off state is refreshed in real time once for 1 second. The interface displays the analog real-time value and the alarm value of the fuel system. The analog is refreshed in real time, once for 1 s. When an alarm is given, the alarm value displays the character to turn red, and when no alarm is given, the character is black. Clicking the measuring point in the system, and connecting the selected measuring point to a curve display interface for display and analysis.
Further, the data display module 155 also has alarm and log functions. Specifically, the basic functions of alarm and log are described by taking an alarm list as an example. Clicking on the menu bar "list" selects "alarm list" to enter the alarm list interface, as shown in FIG. 4. The interface displays an alarm list comprising an alarm signal source, an alarm start time, an alarm end time, an alarm value, an alarm threshold value and the like.
Further, when data analysis is needed, clicking a menu bar "data analysis" to select "curve display" to enter a curve display interface, mainly comprising: parameter group shortcut selection, time shortcut button, header, graphic area, measuring point search, etc.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. 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.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above embodiments are provided to illustrate the technical concept and features of the present invention and are intended to enable those skilled in the art to understand the content of the present invention and implement the same according to the content of the present invention, and not to limit the scope of the present invention. All equivalent changes and modifications made with the scope of the claims should be covered by the claims.
Claims (4)
1. An on-line monitoring and fault diagnosis device for a diesel engine, comprising: the system comprises a diesel engine body monitoring unit, an original acquisition unit, an equipment operation monitoring unit, an on-site signal acquisition unit and a data analysis processing unit;
The diesel engine body monitoring unit is used for monitoring the diesel engine body and outputting an original signal; the original signal includes: cylinder exhaust temperature, lubricating oil temperature, key instrument control parameters, key electrical parameters and key switching value;
The original acquisition unit is connected with the diesel engine body monitoring unit and is used for acquiring the original signals;
The equipment operation monitoring unit is used for monitoring the diesel engine in the operation process and outputting an operation monitoring signal; the device operation monitoring unit includes: the device comprises a vibration monitoring module, a pressure monitoring module and a temperature monitoring module; the vibration monitoring module is used for monitoring vibration in the running process of the diesel engine to obtain a vibration monitoring signal; the pressure monitoring module is used for monitoring pressure in the running process of the diesel engine to obtain a pressure monitoring signal; the temperature monitoring module is used for monitoring the temperature in the running process of the diesel engine to obtain a temperature monitoring signal;
The vibration monitoring module includes: a first vibration sensor, a rotation speed sensor, and a second vibration sensor; the first vibration sensor is arranged on the diesel engine body and used for monitoring the vibration of the diesel engine body to obtain a vibration signal of the diesel engine; the rotating speed sensor is arranged on the diesel engine body and is used for monitoring the rotating speed of the diesel engine body to obtain a rotating speed signal of the diesel engine; the second vibration sensor is arranged at the bearing end of the generator and is used for monitoring the vibration of the generator to obtain a vibration signal of the generator;
The pressure monitoring module includes: a pressure sensor; the pressure sensor is arranged on the crankcase and used for monitoring the pressure of the crankcase to obtain a pressure signal of the crankcase;
The temperature monitoring module includes: a temperature sensor; the temperature sensor is arranged on the cover plate of the crankcase and used for monitoring the temperature of the splashed oil to obtain a temperature signal of the splashed oil; the device comprises 2 pressure sensors, 2 vibration sensors on a generator bearing, 6 vibration sensors on a curve box, 10 temperature sensors for splashing oil temperature, 2 vibration sensors on a transmission box, 5 vibration sensors on a turbocharger, 1 key phase sensor, 1 rotation speed sensor for monitoring instantaneous rotation speed and 20 vibration sensors on a cylinder cover;
the on-site signal acquisition unit is connected with the equipment operation monitoring unit and is used for acquiring the operation monitoring signal;
the data analysis processing unit is respectively connected with the original acquisition unit and the on-site signal acquisition unit and is used for carrying out analysis processing and fault diagnosis according to the original signals and the operation monitoring signals;
The data analysis processing unit includes: a fault analysis and diagnosis module; the fault analysis and diagnosis module is connected with the data acquisition module and is used for carrying out analysis processing and fault diagnosis according to the original signals and the operation monitoring signals to obtain analysis processing data and fault diagnosis data;
the fault analysis and diagnosis module comprises: the system comprises a data anomaly monitoring sub-module, a data statistics analysis and prediction sub-module and a fault positioning algorithm sub-module; the data anomaly monitoring sub-module is used for carrying out anomaly monitoring according to the original signal and the operation monitoring signal to obtain anomaly monitoring data; the data statistical analysis prediction submodule is used for carrying out analysis prediction according to the original signal and the operation monitoring signal to obtain abnormal prediction data; the fault positioning algorithm submodule is used for carrying out fault diagnosis according to the original signal and the operation monitoring signal to obtain fault diagnosis data;
and the fault positioning algorithm submodule performs fault diagnosis by adopting a vibration analysis method and/or an instantaneous rotation speed analysis method to obtain fault diagnosis data.
2. The on-line diesel engine monitoring and fault diagnosis device according to claim 1, wherein the data analysis processing unit includes: the device comprises a data acquisition module, a data communication module, a data storage module and a data display module;
the data acquisition module is respectively connected with the original acquisition unit and the on-site signal acquisition unit and is used for acquiring the original signal and the operation monitoring signal;
The data communication module is respectively connected with the data acquisition module, the data storage module, the data display module and the fault analysis and diagnosis module and is used for executing data transfer transmission among the data acquisition module, the data storage module, the data display module and the fault analysis and diagnosis module;
The data storage module is used for storing the original signals, the operation monitoring signals, the analysis processing data and the fault diagnosis data;
The data display module is used for displaying the original signal, the operation monitoring signal, the analysis processing data and the fault diagnosis data.
3. The on-line monitoring and fault diagnosis device of a diesel engine according to claim 2, wherein the data statistical analysis prediction submodule performs statistical analysis by adopting a differential integration moving average autoregressive model and a support vector regression model to obtain the abnormal prediction data;
or the data statistical analysis prediction submodule adopts a statistical analysis method to conduct abnormal analysis so as to obtain the abnormal prediction data.
4. The on-line diesel engine monitoring and fault diagnosis device according to claim 1, further comprising: an early warning module;
The early warning module is connected with the data analysis processing unit and is used for outputting a fault early warning signal according to the fault diagnosis data output by the data analysis unit.
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