CN105116869A - Large-scale road maintenance mechanical electrical system fault real-time monitoring diagnosis method - Google Patents
Large-scale road maintenance mechanical electrical system fault real-time monitoring diagnosis method Download PDFInfo
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- CN105116869A CN105116869A CN201510372775.6A CN201510372775A CN105116869A CN 105116869 A CN105116869 A CN 105116869A CN 201510372775 A CN201510372775 A CN 201510372775A CN 105116869 A CN105116869 A CN 105116869A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
Abstract
The invention discloses a large-scale road maintenance mechanical electrical system fault real-time monitoring diagnosis method. The method comprises steps: a database is established; normal operation data of a large-scale road maintenance mechanical electrical system device in an xth working mode is collected or recorded; normal operation data record of the xth device is stored in the database, data record is continued to be carried out until data in all the working modes is recorded; the recorded data is subjected to analysis and classification, and database establishment is completed; the device starts working and enters the nth working mode; operation data in the nth working mode is collected; the operation data in the nth working mode is stored in the database as the (x+1)th record; the nth record is called; contrastive analysis of the data of the nth record and the data of the (x+1)th record is carried out; fault information is displayed according to the contrast result and stored. Without analysis of a control logical table of a program, all the input and output fault signals of the large-scale road maintenance mechanical electrical system device can be found at the same time.
Description
Technical field
The present invention relates to electrical system monitoring, diagnosing field, especially relate to a kind of fault Real-Time Monitoring diagnostic method being applied to large-scale maintenance machinery electrical system.
Background technology
Large-scale maintenance machinery electrical system is made up of numerous equipment usually, therefore comprises a lot of input/output signals.When large-scale maintenance machinery breaks down in operational process, often need the running status of monitoring these equipment whether normal.Large-scale maintenance machinery electrical system generally comprises: number connect test signal and analog input and output signal, and whole system is generally controlled by computer program.In the prior art, when large-scale maintenance machinery occurrence logic fault, conventional detection method has:
(1) contrast programmed logic table, when output signal breaks down, search corresponding programmed logic table, correspondence is searched corresponding input signal and whether is met logical condition.If do not satisfied condition, then it may be trouble spot.Fixing a breakdown a little, system may can't recover normal, then should continue search program steering logic table, thus find out possible trouble spot, until fault is got rid of completely.
(2) equipment had has write corresponding automatic fault trace routine, when output signal failure, automatic fault trace routine can search program steering logic table, and correspondence finds out corresponding input signal and whether meets logical condition, indicates possible trouble spot.Fixing a breakdown a little, system may can't recover normal, then should continue to look into programmed logic table, until fault is got rid of completely.
The large-scale maintenance machinery electrical malfunction monitoring, diagnosing method of prior art mainly adopts the result from occurring to analyze, and adopts the anti-method pushed away, carrys out looking up the fault passively, namely first have fault, then looking up the fault Producing reason.These two kinds of methods all need to utilize routine analyzer steering logic table, and for layman, looking up the fault may need long time.If equipment does not provide programmed logic table, even professional's operation, troubleshooting also can be very difficult.
Summary of the invention
In view of this, the object of the present invention is to provide a kind of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method, not Water demand programmed logic table, just can find out all input and output fault-signals of large-scale maintenance machinery electrical system equipment at one time.
In order to realize foregoing invention object, the present invention specifically provides a kind of technic relization scheme of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method, comprises the following steps:
S100: building database;
S101: gather or the normal operation data of equipment of large-scale maintenance machinery electrical system under typing xth kind mode of operation, x be more than or equal to 1 any positive integer;
S102: by the normal operation data record of equipment described in xth bar stored in in described database, continue to perform step S101, until the normal operation data of described equipment under the whole mode of operation of typing;
S103: the normal operation data analysis recorded in described step S102 is sorted out, completes the foundation of described database;
S104: the equipment of described large-scale maintenance machinery electrical system is started working, enters n-th kind of mode of operation, n be more than or equal to 1 any positive integer;
S105: gather the work data under n-th kind of mode of operation;
S106: using the work data under n-th kind of mode of operation stored in described database as (x+1)th bar record;
S107: call n-th record;
S108: the data of n-th and (x+1)th bar record are analyzed;
S109: according to comparing result display failure message, and storage failure record.
Preferably, the normal operation data of the equipment of described large-scale maintenance machinery electrical system comprise further: any one or a few in input signal, output signal and sensor signal.
Preferably, when the work data of equipment under n-th kind of mode of operation of described large-scale maintenance machinery electrical system is stationary singnal, there is the normal operating condition under a corresponding mode of operation, be captured in the work data under this normal operating condition, record and store in this work data to described database.When judging whether to occur abnormal under this duty, obtain the actual job data of the equipment of large-scale maintenance machinery electrical system under this duty, and contrast with the work data under normal operating condition in described database, if any difference, then judge that these actual job data are fault-signal.
Preferably, when the work data of equipment under n-th kind of mode of operation of described large-scale maintenance machinery electrical system is stationary singnal, and this work data is when being normal function signal 0 or 1 in normal state, if obtained when the saltus step of signal appears in the actual job data of the equipment of described large-scale maintenance machinery electrical system under this duty, then judge that these actual job data are fault-signal.
Preferably, when the work data of equipment under n-th kind of mode of operation of described large-scale maintenance machinery electrical system is Dynamic Signal, and this work data in normal state for rule change pulse signal time, if obtained when erratic pulse signal appears in the actual job data of the equipment of described large-scale maintenance machinery electrical system under this duty, then judge that these actual job data are fault-signal.
Preferably, when the work data of equipment under n-th kind of mode of operation of described large-scale maintenance machinery electrical system is Dynamic Signal, and this work data is when being the analog data determining scope in normal state, if obtain the actual job data of the equipment of described large-scale maintenance machinery electrical system under this duty to exceed the analog data scope of setting, then judge that these actual job data are fault-signal.
Preferably, enter the normal operation of preliminary work stage to first time from the equipment of described large-scale maintenance machinery electrical system and complete the stage, fault Real-Time Monitoring diagnostic device not initiatively record and failure judgement information, is searched by man-machine interaction by operating personnel, failure judgement.
Preferably, after entering the operation phase from the equipment of described large-scale maintenance machinery electrical system, described fault Real-Time Monitoring diagnostic device is initiatively searched and record trouble information, and described fault Real-Time Monitoring diagnostic device is selected by operating personnel or combined the mode of operation of the equipment judging and identify described large-scale maintenance machinery electrical system by specific shift knob from Work List.
Preferably; when the equipment of described large-scale maintenance machinery electrical system is in the shutdown stage; when large-scale maintenance machinery is in and returns the vehicle to the garage and knock off the stage; described fault Real-Time Monitoring diagnostic device does not initiatively record and failure judgement information; now by being contrasted by the correct signal of the signal of the equipment of described large-scale maintenance machinery electrical system with state of returning the vehicle to the garage and knock off, find out fault-signal.
Preferably, when the equipment of described large-scale maintenance machinery electrical system breaks down in operation process, then fault Real-Time Monitoring diagnostic device automatic spring failure message, carries out audible alarm prompting, and autostore failure message.
By implementing the technical scheme of the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that the invention described above provides, there is following beneficial effect:
(1) the present invention's not Water demand programmed logic table, can running status that is intelligent, automatically monitoring equipment, and whether automatic analysis equipment exists fault or exception, if any fault or exception, it automatically can find out all input and output fault-signals of large-scale maintenance machinery electrical system equipment at one time;
(2) the present invention can the duty of active monitoring large-scale maintenance machinery electrical system equipment, and automatic record trouble information, the failure message of equipment can be searched at any time, saved trouble shooting time, and do not need to understand programmed logic relation, less demanding to operating personnel's technical capability.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below.Apparently, the accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, can also obtain other embodiment according to these accompanying drawings.
Fig. 1 is the program flow diagram of a kind of embodiment of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method of the present invention;
Fig. 2 is the system architecture diagram of a kind of embodiment of the inventive method institute application and trouble Real-Time Monitoring diagnostic system;
Fig. 3 is the structure composition schematic diagram of a kind of embodiment of fault Real-Time Monitoring diagnostic device in the present invention;
In figure: 1-large-scale maintenance machinery electrical system, 2-fault Real-Time Monitoring diagnostic device, 3-equipment, 21-data acquisition typing unit, 22-database, 23-analysis and processing unit, 24-fault display unit, 25-fault memory cell.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, clear, complete description is carried out to the technical scheme in the embodiment of the present invention.Obviously, described embodiment is only a part of embodiment of the present invention, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in accompanying drawing 1 to accompanying drawing 3, give the specific embodiment of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method of the present invention, below in conjunction with the drawings and specific embodiments, the invention will be further described.
As shown in Figure 1, a kind of specific embodiment of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method, comprises the following steps:
S100: building database 22;
S101: gather or the normal operation data of equipment 3 of large-scale maintenance machinery electrical system 1 under typing xth kind mode of operation, x be more than or equal to 1 any positive integer;
S102: by the normal operation data record of xth bar equipment 3 stored in in database 22, continues to perform step S101, until the normal operation data of equipment 3 under the whole mode of operation of typing;
S103: the normal operation data analysis recorded in step S102 is sorted out, completes the foundation of database 22;
S104: the equipment 3 of large-scale maintenance machinery electrical system 1 is started working, enters n-th kind of mode of operation, n be more than or equal to 1 any positive integer;
S105: gather the work data under n-th kind of mode of operation;
S106: using the work data under n-th kind of mode of operation stored in database 22 as (x+1)th bar record;
S107: call n-th record;
S108: the data of n-th and (x+1)th bar record are analyzed;
S109: according to comparing result display failure message, and storage failure record.
The large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that the above-mentioned specific embodiment of the present invention describes provide one simply, breakdown judge and lookup method fast, utilize the present invention can find out all input and output fault-signals of this equipment 3 at one time.And what is more important, this process not Water demand programmed logic table completely, and initiatively can find out trouble spot, even if for layman, also can use freely.
As shown in Figure 2, for the system architecture diagram of large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method institute of the present invention application and trouble Real-Time Monitoring diagnostic system, Real-Time Monitoring diagnostic system comprises large-scale maintenance machinery electrical system 1, and the fault Real-Time Monitoring diagnostic device 2 be connected with this large-scale maintenance machinery electrical system 1.Large-scale maintenance machinery electrical system 1 generally includes multiple equipment 3, equipment 1 as shown in Figure 2, equipment 2, equipment 3 ..., equipment n etc.The normal operation data of the equipment 3 of large-scale maintenance machinery electrical system 1 comprise further: any one or a few in input signal, output signal and sensor signal.As one of the present invention preferably specific embodiment, fault Real-Time Monitoring diagnostic device 2 gathers the input signal of each equipment 3, output signal and sensor signal.
As shown in Figure 3, be the structure composition schematic diagram of fault Real-Time Monitoring diagnostic device 2 of the present invention.Fault Real-Time Monitoring diagnostic device 2 comprises data acquisition typing unit 21, database 22, analysis and processing unit 23, fault display unit 24 and fault memory cell 25 further.Come from the input signal of the equipment 3 of large-scale maintenance machinery electrical system 1, output signal and sensor signal input data acquisition typing unit 21.Gathered by data acquisition typing unit 21 or the normal operation data of the equipment 3 of large-scale maintenance machinery electrical system 1 under typing xth kind mode of operation.Data acquisition typing unit 21 simultaneously by the normal operation data record of xth bar equipment 3 stored in in database 22, continue to gather or logging data, until the normal operation data of equipment 3 under the whole mode of operation of typing.The all normal operation data analysis of analysis and processing unit 23 to record are sorted out, and complete the foundation of database 22.When the equipment 3 of large-scale maintenance machinery electrical system 1 is started working, when entering n-th kind of mode of operation, data acquisition typing unit 21 gathers the work data under n-th kind of mode of operation, and using the work data under n-th kind of mode of operation stored in database 22 as (x+1)th bar record.N-th record in analysis and processing unit 23 calling data storehouse 22, and the data of n-th and (x+1)th bar record are analyzed.Fault display unit 24 shows failure message according to comparing result, simultaneously by fault memory cell 25 storage failure record.
When the work data of equipment 3 under n-th kind of mode of operation of large-scale maintenance machinery electrical system 1 is stationary singnal, when carrying out some operation, there is the normal operating condition under a corresponding mode of operation in equipment 3.Be captured in the work data under this normal operating condition, record and store this work data in database 22.When judging whether to occur abnormal under this duty, obtain the actual job data of the equipment 3 of large-scale maintenance machinery electrical system 1 under this duty, and contrast with the work data under normal operating condition in database 22, if any difference, then judge that these actual job data are fault-signal.For 08-32 type tamping car, as shown in table 1 below is the normal operation data of 08-32 tamping car under ZF high-speed cruising duty, through contrast, if any difference, is then fault-signal.
The normal operation data list of table 108-32 tamping car under ZF high-speed cruising duty
| Signal | Signal instruction | Normal value |
| X46 | Left rammer is clapped device and is mentioned position | 1 |
| X47 | Right rammer is clapped device and is mentioned position | 1 |
| X48 | Front tensioning dolly is the next | 0 |
| X49 | Measurement dolly is the next | 0 |
| X5A | Unit locking bit is made on a left side firm by ramming | 1 |
| X5B | Unit locking bit is made on the right side firm by ramming | 1 |
When the work data of equipment 3 under n-th kind of mode of operation of large-scale maintenance machinery electrical system 1 is stationary singnal, and this work data is when being normal function signal 0 or 1 in normal state, if obtained when the saltus step of signal appears in the actual job data of the equipment 3 of large-scale maintenance machinery electrical system 1 under this duty, then judge that these actual job data are fault-signal.As: in the fault Real-Time Monitoring diagnosis of the equipment 3 of large-scale maintenance machinery electrical system 1, common several fault diagnosis situations have:
(1) when equipment 3 carries out a certain operation, work data is in normal state normal function signal 0 or 1, if fault Real-Time Monitoring diagnostic device 2 has monitored similar
or
signal saltus step, then diagnostic device 3 is malfunction this moment.
(2) when the work data of equipment 3 under n-th kind of mode of operation of large-scale maintenance machinery electrical system 1 is Dynamic Signal, and this work data in normal state for rule change pulse signal time, if obtained when erratic pulse signal appears in the actual job data of the equipment 3 of large-scale maintenance machinery electrical system 1 under this duty, then judge that these actual job data are fault-signal.When equipment 3 carries out a certain operation, in a period of time, the work data in normal state monitored is rule change
signal, becomes if fault Real-Time Monitoring diagnostic device 2 monitors this signal
then diagnostic device 3 is malfunction this moment.When inserting a normal operation under being depicted as 08-32 tamping car tamping head with following table 2, make the Changing Pattern of depth location signal firm by ramming.Wherein, X13 fault-signal 10 represents that left tamping head is after upper decline, does not get back to upper when mentioning, and X18 fault-signal 0 represents that right tamping head is after upper decline, does not arrive bottom.
Table 208-32 tamping car inserts the Data Comparison list under work operations state under tamping head
| Signal | Signal instruction | Normal value | Operative signals | Duty |
| X13 | It is upper that unit is made on a left side firm by ramming | 101 | 10 | Fault |
| X14 | Unit meta is made on a left side firm by ramming | 010 | 010 | Normally |
| X15 | Unit bottom is made on a left side firm by ramming | 010 | 010 | Normally |
| X16 | It is upper that unit is made on the right side firm by ramming | 101 | 101 | Normally |
| X17 | Unit meta is made on the right side firm by ramming | 010 | 010 | Normally |
| X18 | Unit bottom is made on the right side firm by ramming | 010 | 0 | Fault |
(3) when equipment 3 carries out a certain operation, the analog data under normal condition has the scope determined, utilizes fault Real-Time Monitoring diagnostic device 2 to arrange the value range of normal condition, carries out fault diagnosis.When the work data of equipment 3 under n-th kind of mode of operation of large-scale maintenance machinery electrical system 1 is Dynamic Signal, and this work data is when being the analog data determining scope in normal state, if obtain the actual job data of the equipment 3 of large-scale maintenance machinery electrical system 1 under this duty to exceed the analog data scope of setting, then judge that these actual job data are fault-signal.
When the equipment 3 of large-scale maintenance machinery electrical system 1 breaks down in operation process, then fault Real-Time Monitoring diagnostic device 2 automatic spring failure message, carries out audible alarm prompting.Even if operating personnel do not process in time, also can autostore failure message, for the follow-up looking up the fault of operating personnel provides foundation.
The work of the equipment 3 of large-scale maintenance machinery electrical system 1 generally can be divided into three phases, that is: start-up period, operation phase and shutdown stage.Take computing machine as contrast:
(1) start-up period, from start to the os starting stage, mainly cmos (ComplementaryMetalOxideSemiconductor during this period of time, the abbreviation of complementary metal oxide semiconductor (CMOS)) supervisory computer, for large-scale maintenance machinery, be the preliminary work stage or put the car stage.Enter the normal operation of preliminary work stage to first time from the equipment 3 of large-scale maintenance machinery electrical system 1 and complete the stage, be defined as start-up period, it is incorrect mostly fault is during this period of time that operating personnel operate, this stage adopts fault Real-Time Monitoring diagnostic method of the present invention, specific signal is processed especially, fault Real-Time Monitoring diagnostic device 2 not initiatively record and failure judgement information, but searched by man-machine interaction by operating personnel, failure judgement.
(2) operation phase, application software is started working, after entering the operation phase from the equipment 3 of large-scale maintenance machinery electrical system 1, fault Real-Time Monitoring diagnostic device 2 is initiatively searched and record trouble information, fault Real-Time Monitoring diagnostic device 2 Main Function is in the process the mode of operation of judgement and identification equipment 3, some equipment 3 may only have a kind of mode of operation, and some equipment 3 may have a variety of mode of operation.From Work List, selected or combined by specific shift knob the mode of operation of the equipment 3 judging and identify large-scale maintenance machinery electrical system 1 by operating personnel.
(3) stage is shut down; the process of shutting down computer; when the equipment 3 of large-scale maintenance machinery electrical system 1 is in the shutdown stage; when large-scale maintenance machinery is in and returns the vehicle to the garage and knock off the stage; mostly fault is during this period of time to operate incorrect causing by operating personnel; fault Real-Time Monitoring diagnostic device 2 does not initiatively record and failure judgement information, now by being contrasted by the correct signal of the signal of the equipment 3 of large-scale maintenance machinery electrical system 1 with state of returning the vehicle to the garage and knock off, finds out fault-signal.
In large-scale maintenance machinery electrical system 1, the characteristics of motion of equipment 3 is motion states of periodic regular change or equipment 3 is substantially constant, and the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that can the specific embodiment of the invention be used well to describe is to carry out malfunction monitoring.As shown in table 3 below, record be whole failure messages of equipment 3 under current employing mode of operation N.Wherein, X is input signal, and Q is output signal, and F is sensor signal, and wherein the normal operation signal of X1 is 0, and the signal of actual acquisition record is 010, collects the sudden change that becomes 1, so detected by fault Real-Time Monitoring diagnostic device 2.The normal operation signal of Q1 is 010, represents from 0 and becomes 1, then become 0, and the signal of actual acquisition record is 01, remains unchanged after becoming 1 from 0, so detected by fault Real-Time Monitoring diagnostic device 2.The normal range of F0 is 2 ~ 5V, and the signal of actual acquisition record is 1.5V, beyond normal scope, so detected by fault Real-Time Monitoring diagnostic device 2.
The partial fault information list of table 3 large-scale maintenance machinery electrical system equipment under mode of operation N
| Signal | Normal N | Record X+1 |
| X1 | 0 | 010 |
| X2 | 010 | 01 |
| X3 | 101 | 010 |
| X4 | 101 | 10 |
| Q1 | 010 | 01 |
| Q2 | 0 | 01 |
| Q3 | 10101 | 1010 |
| F0 | 2～5V | 1.5V |
The work data of equipment 3 of the type road maintainance machinery electrical malfunction Real-Time Monitoring diagnostic method record that the specific embodiment of the invention describes is dynamic, change, the dynamic changing process of what its database 22 recorded is signal in one-period.Can find from table 3, in fact there is certain logical relation in input signal fault X, F and output signal failure Q, but when breakdown judge, the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that the specific embodiment of the invention describes is not from programmed logic relation, but causing the cause and effect of phenomenon of the failure all to detect, therefore failure diagnostic process does not need to know programmed logic relation.The present invention utilizes database pairing comparision looking up the fault, can recording unit 3 from small to the evolution of catastrophic failure, the duty of active monitoring equipment 3, automatic record trouble information, can help the further improved design project of designer.
By implementing the technical scheme of the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that the specific embodiment of the invention describes, following technique effect can be produced:
(1) the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method not Water demand programmed logic table of specific embodiment of the invention description, can running status that is intelligent, automatically monitoring equipment, and whether automatic analysis equipment exists fault or exception, if any fault or exception, it automatically can find out all input and output fault-signals of large-scale maintenance machinery electrical system equipment at one time;
(2) the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method that describes of the specific embodiment of the invention can the duty of active monitoring large-scale maintenance machinery electrical system equipment, and automatic record trouble information, the failure message of equipment can be searched at any time, save trouble shooting time, and do not need to understand programmed logic relation, less demanding to operating personnel's technical capability.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.
The above is only preferred embodiment of the present invention, not does any pro forma restriction to the present invention.Although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention.Any those of ordinary skill in the art, when not departing from Spirit Essence of the present invention and technical scheme, the Method and Technology content of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent replacement, equivalence change and modification, all still belongs to the scope of technical solution of the present invention protection.
Claims (10)
1. a large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method, is characterized in that, comprise the following steps:
S100: building database (22);
S101: gather or the normal operation data of equipment (3) of large-scale maintenance machinery electrical system (1) under typing xth kind mode of operation, x be more than or equal to 1 any positive integer;
S102: by the normal operation data record of equipment (3) described in xth bar stored in in described database (22), continue to perform step S101, until the normal operation data of described equipment (3) under the whole mode of operation of typing;
S103: the normal operation data analysis recorded in described step S102 is sorted out, completes the foundation of described database (22);
S104: the equipment (3) of described large-scale maintenance machinery electrical system (1) is started working, and enters n-th kind of mode of operation, n be more than or equal to 1 any positive integer;
S105: gather the work data under n-th kind of mode of operation;
S106: using the work data under n-th kind of mode of operation stored in described database (22) as (x+1)th bar record;
S107: call n-th record;
S108: the data of n-th and (x+1)th bar record are analyzed;
S109: according to comparing result display failure message, and storage failure record.
2. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 1, is characterized in that: the normal operation data of the equipment (3) of described large-scale maintenance machinery electrical system (1) comprise further: any one or a few in input signal, output signal and sensor signal.
3. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 1 and 2, it is characterized in that: when the work data of equipment (3) under n-th kind of mode of operation of described large-scale maintenance machinery electrical system (1) is stationary singnal, there is the normal operating condition under a corresponding mode of operation, be captured in the work data under this normal operating condition, record and store in this work data to described database (22); When judging whether to occur abnormal under this duty, obtain the actual job data of the equipment (3) of large-scale maintenance machinery electrical system (1) under this duty, and contrast with the work data under normal operating condition in described database (22), if any difference, then judge that these actual job data are fault-signal.
4. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 3, it is characterized in that: when the work data of equipment (3) under n-th kind of mode of operation of described large-scale maintenance machinery electrical system (1) is stationary singnal, and this work data is when being normal function signal 0 or 1 in normal state, if obtained when the saltus step of signal appears in the actual job data of the equipment (3) of described large-scale maintenance machinery electrical system (1) under this duty, then judge that these actual job data are fault-signal.
5. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 4, it is characterized in that: when the work data of equipment (3) under n-th kind of mode of operation of described large-scale maintenance machinery electrical system (1) is Dynamic Signal, and this work data in normal state for rule change pulse signal time, if obtained when erratic pulse signal appears in the actual job data of the equipment (3) of described large-scale maintenance machinery electrical system (1) under this duty, then judge that these actual job data are fault-signal.
6. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 5, it is characterized in that: when the work data of equipment (3) under n-th kind of mode of operation of described large-scale maintenance machinery electrical system (1) is Dynamic Signal, and this work data is when being the analog data determining scope in normal state, if obtain the actual job data of the equipment (3) of described large-scale maintenance machinery electrical system (1) under this duty to exceed the analog data scope of setting, then judge that these actual job data are fault-signal.
7. the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to any one of claim 1,2,4,5 or 6, it is characterized in that: enter the normal operation extremely for the first time of preliminary work stage from the equipment (3) of described large-scale maintenance machinery electrical system (1) and complete the stage, fault Real-Time Monitoring diagnostic device (2) not initiatively record and failure judgement information, is searched by man-machine interaction by operating personnel, failure judgement.
8. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 7, it is characterized in that: after entering the operation phase from the equipment (3) of described large-scale maintenance machinery electrical system (1), described fault Real-Time Monitoring diagnostic device (2) is initiatively searched and record trouble information, and described fault Real-Time Monitoring diagnostic device (2) is selected by operating personnel or combined the mode of operation of the equipment (3) judging and identify described large-scale maintenance machinery electrical system (1) by specific shift knob from Work List.
9. large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to claim 8; it is characterized in that: when the equipment (3) of described large-scale maintenance machinery electrical system (1) is in the shutdown stage; when large-scale maintenance machinery is in and returns the vehicle to the garage and knock off the stage; described fault Real-Time Monitoring diagnostic device (2) is not initiatively recorded and failure judgement information; now by being contrasted by the correct signal of the signal of the equipment (3) of described large-scale maintenance machinery electrical system (1) with state of returning the vehicle to the garage and knock off, find out fault-signal.
10. the large-scale maintenance machinery electrical malfunction Real-Time Monitoring diagnostic method according to any one of claim 1,2,4,5,6,8 or 9, it is characterized in that: when the equipment (3) of described large-scale maintenance machinery electrical system (1) breaks down in operation process, then described fault Real-Time Monitoring diagnostic device (2) automatic spring failure message, carry out audible alarm prompting, and autostore failure message.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN105929816A (en) * | 2016-05-30 | 2016-09-07 | 北京天鸿同信科技有限公司 | Boolean algorithm-based industrial control system fault diagnosis method |
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| CN109164750A (en) * | 2018-08-28 | 2019-01-08 | 中铁工程服务有限公司 | A kind of diagnosis and processing method of shield machine operation troubles |
| CN109164750B (en) * | 2018-08-28 | 2020-10-27 | 中铁工程服务有限公司 | Method for diagnosing and processing operation fault of shield machine |
| CN112327795A (en) * | 2020-10-16 | 2021-02-05 | 东风汽车股份有限公司 | Fault diagnosis method in running process of self-propelled trolley |
| CN112328662A (en) * | 2020-11-04 | 2021-02-05 | 中国南方电网有限责任公司 | Intelligent diagnosis method for centralized data acquisition fault of dispatching automation system |
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