CN109754094A - Electromechanical equipment intelligence O&M method, system, equipment and storage medium - Google Patents
Electromechanical equipment intelligence O&M method, system, equipment and storage medium Download PDFInfo
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Abstract
The present invention relates to the technical fields of electromechanical equipment maintenance, more particularly, to a kind of electromechanical equipment intelligence O&M method, system, equipment and storage medium, electromechanical equipment intelligence O&M method includes obtaining data to be tested corresponding with electromechanical equipment described in every respectively according to the static data of every electromechanical equipment；Equipment is acquired according to the data to be tested forward end and issues electromechanical equipment detection message, and obtains operation data corresponding with electromechanical equipment described in every；According to the operation data, the operation data is analyzed and processed, processing result is obtained；According to the processing result, fault pre-alarming diagnosis report is generated.The present invention has and can make in advance early warning to the operation conditions of electromechanical equipment, to improve the effect of maintenance.
Description
Technical field
The present invention relates to the technical fields of electromechanical equipment maintenance, more particularly, to a kind of electromechanical equipment intelligence O&M side
Method, system, equipment and storage medium.
Background technique
Currently, being merely able in real time in the operation and maintenance to the electromechanical equipment in electromechanical equipment, especially rail traffic
The operating condition of electromechanical equipment is monitored, is sounded an alarm when breaking down, notification technique personnel repair.This
Kind mode needs just to be repaired until electromechanical equipment breaks down, and is easy to cause rail traffic that can not operate normally,
Affect maintenance efficiency.
Summary of the invention
The object of the present invention is to provide one kind to make early warning in advance to the operation conditions of electromechanical equipment, to improve dimension
Electromechanical equipment intelligence O&M method, system, equipment and the storage medium for the efficiency repaired.
Foregoing invention purpose one of the invention has the technical scheme that
A kind of electromechanical equipment intelligence O&M method, the electromechanical equipment intelligence O&M method include:
According to the static data of every electromechanical equipment, data to be tested corresponding with electromechanical equipment described in every respectively are obtained；
Equipment is acquired according to the data to be tested forward end and issues electromechanical equipment detection message, and is obtained and every electromechanics
The corresponding operation data of equipment；
According to the operation data, the operation data is analyzed and processed, processing result is obtained；
According to the processing result, fault pre-alarming diagnosis report is generated.
Corresponding data to be tested are obtained according to the static data of every electromechanical equipment by using above-mentioned technical proposal,
Every electromechanical equipment data to be tested can be made to be more in line with the characteristic of the electromechanical equipment, so that in the item for the effect for guaranteeing detection
Under part, the data of detection are reduced, improve the efficiency of detection；Meanwhile for the operation data that data to be tested are got
It is analyzed and is handled, obtain processing result, and reason, can as a result, obtain corresponding fault pre-alarming diagnosis report according to this
Before equipment failure, electromechanical equipment is found whithin a period of time in time, if it is possible that breaking down, and can be timely
Corresponding maintenance measure is made on ground, avoids causing whole equipment systemic breakdown not mention until the practical failure of electromechanical equipment
The high efficiency of maintenance.
The present invention is further arranged to: the static data according to every electromechanical equipment, is obtained respectively and described in every
The corresponding data to be tested of electromechanical equipment, comprising:
The described quiet of every electromechanical equipment is obtained from the device databases of facility information for being stored with the electromechanical equipment
State data；
History detection data corresponding with electromechanical equipment described in every is obtained according to the static data；
The history detection data of electromechanical equipment described in every is analyzed, the corresponding data to be tested are obtained.
By using above-mentioned technical proposal, corresponding history detection data is obtained by the static data of electromechanical equipment, and
History detection data is analyzed, the data to be tested are obtained, can from the passing data detected, analyze with it is right
The higher data of the electromechanical equipment degree of association answered are detected, and are guaranteeing the detection feelings constant with the effect of early warning to realize
Condition reduces the data detected, to improve the efficiency of detection, also mitigates the pressure of data transmission.
The present invention is further arranged to: the history detection data to electromechanical equipment described in every is analyzed,
Obtain the corresponding data to be tested, comprising:
Equipment fault data are obtained from the history detection data, and the equipment fault data are analyzed, and are set
Standby failure analysis result；
According to the failure analysis result, the data to be tested of every electromechanical equipment are obtained.
By using above-mentioned technical proposal, the data for every electromechanical equipment in passing failure are analyzed, right
Specific electric elements that every electromechanical equipment breaks down or the reason of breaking down, are analyzed, and enable to get
Data to be tested it is more targeted.
The present invention is further arranged to: according to the operation data, being analyzed and processed, is obtained everywhere to the operation data
Manage result, comprising:
The variation tendency of the operation data is analyzed, analysis result is obtained；
The analysis result is compared with history detection data, using comparison result as the processing result.
By using above-mentioned technical proposal, analyzed to the operation data got according to the data to be tested,
After processing is compared with history detection data to the operation data, if it is determined that the operation data starts the trend toward equipment fault
When development, then illustrate that the equipment was possible to will appear failure within following a period of time, and can handle to obtain by the analysis
Processing result, schedule ahead maintenance measure, ensure that system run.
The present invention is further arranged to: according to the processing result, generating fault pre-alarming diagnosis report, comprising:
Become if the processing result is in equipment fault trend according to the equipment fault according to the history detection data
Gesture issues fault pre-alarming message；
According to the corresponding operation data of the fault trend, diagnostic analysis data are generated；
By the fault pre-alarming message and the diagnostic analysis data, the fault pre-alarming diagnosis report is generated.
Corresponding fault pre-alarming message, Ke Yiyou are issued according to different processing results by using above-mentioned technical proposal
The higher electromechanical equipment of failure possibility is first handled, it is more reasonable when arranging the measure of maintenance to enable to；Meanwhile it can
To obtain corresponding diagnostic analysis data according to fault trend and corresponding operation data, eliminates manually to look for repairing and arrange
The step of applying further increases the efficiency of maintenance.
The present invention is further arranged to: after the step of according to the processing result, generating fault pre-alarming diagnosis report,
The electromechanical equipment intelligence O&M method further include:
The fault pre-alarming diagnosis report is stored in the history detection data；
According to the history detection data of electromechanical equipment described in every, electromechanical equipment number of faults is obtained.
Electromechanical equipment number of faults is obtained, can be convenient for according in history detection data by using above-mentioned technical proposal
The case where counting electromechanical equipment quality provides data reference when being subsequent procurement or more exchange device.
Foregoing invention purpose two of the invention has the technical scheme that
A kind of electromechanical equipment intelligence operational system, the electromechanical equipment intelligence operational system include:
Data to be tested obtain module, for the static data according to every electromechanical equipment, obtain respectively with electromechanics described in every
The corresponding data to be tested of equipment；
Message transmission module is detected, is disappeared for acquiring equipment according to the data to be tested forward end and issuing electromechanical equipment and detect
Breath, and obtain operation data corresponding with electromechanical equipment described in every；
Processing module, for being analyzed and processed to the operation data, obtaining processing result according to the operation data；
Report generation module, for generating fault pre-alarming diagnosis report according to the processing result.
Corresponding data to be tested are obtained according to the static data of every electromechanical equipment by using above-mentioned technical proposal,
Every electromechanical equipment data to be tested can be made to be more in line with the characteristic of the electromechanical equipment, so that in the item for the effect for guaranteeing detection
Under part, the data of detection are reduced, improve the efficiency of detection；Meanwhile for the operation data that data to be tested are got
It is analyzed and is handled, obtain processing result, and reason, can as a result, obtain corresponding fault pre-alarming diagnosis report according to this
Before equipment failure, electromechanical equipment is found whithin a period of time in time, if it is possible that breaking down, and can be timely
Corresponding maintenance measure is made on ground, avoids causing whole equipment systemic breakdown not mention until the practical failure of electromechanical equipment
The high efficiency of maintenance.
Foregoing invention purpose three of the invention has the technical scheme that
A kind of computer equipment, including memory, processor and storage are in the memory and can be on the processor
The computer program of operation, the processor realize above-mentioned electromechanical equipment intelligence O&M method when executing the computer program
The step of.
Foregoing invention purpose four of the invention has the technical scheme that
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the computer
The step of above-mentioned electromechanical equipment intelligence O&M method is realized when program is executed by processor.
In conclusion advantageous effects of the invention are as follows:
1. obtaining corresponding data to be tested according to the static data of every electromechanical equipment, every electromechanical equipment can be made to be checked
Measured data is more in line with the characteristic of the electromechanical equipment, so that reducing the data of detection under conditions of guaranteeing the effect of detection, mentioning
The high efficiency of detection；
2. simultaneously, being analyzed and being handled for the operation data that data to be tested are got, processing result, and root are obtained
According to the processing result, corresponding fault pre-alarming diagnosis report is obtained, can find that in time electromechanics is set before equipment failure
For whithin a period of time, if it is possible that breaking down, and corresponding maintenance measure can be made in time, avoided until electromechanics
When the practical failure of equipment, whole equipment systemic breakdown is caused not improve the efficiency of maintenance.
Detailed description of the invention
Fig. 1 is a flow chart of electromechanical equipment intelligence O&M method in one embodiment of the invention；
Fig. 2 is the implementation flow chart of step S10 in electromechanical equipment intelligence O&M method in one embodiment of the invention；
Fig. 3 is the implementation flow chart of step S13 in electromechanical equipment intelligence O&M method in one embodiment of the invention；
Fig. 4 is the implementation flow chart of step S30 in electromechanical equipment intelligence O&M method in one embodiment of the invention；
Fig. 5 is the implementation flow chart of step S40 in electromechanical equipment intelligence O&M method in one embodiment of the invention；
Fig. 6 is the flow chart that electromechanical equipment intelligence O&M method is another in one embodiment of the invention；
Fig. 7 is a functional block diagram of electromechanical equipment intelligence operational system in one embodiment of the invention；
Fig. 8 is a schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
Embodiment one:
In one embodiment, as shown in Figure 1, being a kind of electromechanical equipment intelligence O&M method disclosed by the invention, including it is as follows
Step:
S10: according to the static data of every electromechanical equipment, data to be tested corresponding with every electromechanical equipment respectively are obtained.
In the present embodiment, static data refers to the data for distinguishing each electromechanical equipment, sets including the electromechanics
Standby model, production firm and the electromechanical equipment for etc. data.
Specifically, according to the static data, data to be tested corresponding with daily electromechanical equipment are obtained.
S20: equipment is acquired according to data to be tested forward end and issues electromechanical equipment detection message, and is obtained and every electromechanics
The corresponding operation data of equipment.
In the present embodiment, electromechanical equipment detection message refers to the data recorded when detecting to electromechanical equipment, the number
According to current data, voltage data and the data of vibration equipment frequency etc. when can be the corresponding operation of every electromechanical equipment.
Specifically, according to the flirtatious monitoring data, the front-end collection equipment being arranged into every electromechanical equipment is sent with shadow
Equipment detects message, to obtain the corresponding operation data of every electromechanical equipment.
S30: according to operation data, operation data is analyzed and processed, obtains processing result.
Specifically, according to the operation data, which is analyzed and is handled accordingly, processing result is obtained.
The mode of the analysis and processing, which can be, to be compared with passing detection data with the operation data acquired, if the operation
Data start exception occur, that is, start to meet the trend development that passing detection data breaks down, then can be determined that the electromechanics is set
Failure may be will appear within following a period of time by having.
S40: according to processing result, fault pre-alarming diagnosis report is generated.
Specifically, if the processing result is within following a period of time, it is possible to will appear failure, then will likely will appear
The specific component of failure and scheduled time form the fault pre-alarming diagnosis report.Wherein, which also wraps
It includes according to it is possible that the component of failure obtains corresponding solution as dimension from the data that history detects or repairs
The recommendation repaired.
In the present embodiment, according to the static data of every electromechanical equipment, corresponding data to be tested are obtained, can be made every
Platform electromechanical equipment data to be tested are more in line with the characteristic of the electromechanical equipment, so that subtracting under conditions of guaranteeing the effect of detection
The data detected less improve the efficiency of detection；Meanwhile the operation data got for data to be tested is analyzed
And processing, processing result is obtained, and reason can go out in equipment as a result, obtain corresponding fault pre-alarming diagnosis report according to this
Before existing failure, electromechanical equipment is found whithin a period of time in time, if it is possible that breaking down, and phase can be made in time
The maintenance measure answered avoids causing whole equipment systemic breakdown not improve maintenance until the practical failure of electromechanical equipment
Efficiency.
In one embodiment, as shown in Fig. 2, in step slo, i.e., according to the static data of every electromechanical equipment, obtaining
Data to be tested corresponding with every electromechanical equipment respectively, specifically comprise the following steps:
S11: the static data of every electromechanical equipment is obtained from the device databases of facility information for being stored with electromechanical equipment.
Specifically, which summarizes the data for being stored with every electromechanical equipment, wherein will to the electromechanical equipment into
The mark for the data that the data of row detection store into the device databases, and static data is used to detect as each electromechanical equipment
Know.
Further, the static data of every electromechanical equipment is obtained from the device databases.
S12: history detection data corresponding with every electromechanical equipment is obtained according to static data.
In the present embodiment, history detection data referred within the past period, was detected to the electromechanical equipment
Data.
Specifically, according to the static data, and using the static data as the mark of every electromechanical equipment, every machine is obtained
The corresponding history detection data of electric equipment.
S13: the history detection data of every electromechanical equipment is analyzed, corresponding data to be tested are obtained.
Specifically, corresponding analysis is carried out to the history detection data of every electromechanical equipment, obtains every electromechanical equipment and goes out
When existing failure, occur when having which data it is abnormal, by the data of appearance exception, as data to be tested.
In one embodiment, as shown in figure 3, in step s 13, i.e., being carried out to the history detection data of every electromechanical equipment
Analysis, obtains corresponding data to be tested, specifically comprises the following steps:
S131: obtaining equipment fault data from history detection data, and analyze equipment fault data, obtains equipment event
Barrier analysis result.
Specifically, it from history detection data, obtains when every electromechanical equipment breaks down or exception, operation data
Situation, and the data that the case where operation data is with electromechanical equipment normal operation are compared, to obtain failure
When operation data in, there is which data to be changed, by changed data, as equipment fault analysis result.
S132: according to failure analysis result, the data to be tested of every electromechanical equipment are obtained.
Specifically, by changed data in detecting step S131, it is different can to predict whether electromechanical equipment will appear
Often.Therefore according to failure analysis result, the data to be tested of every electromechanical equipment are obtained.
In one embodiment, as shown in figure 4, in step s 30, i.e., according to operation data, analyzing operation data
Processing, obtains processing result, specifically comprises the following steps:
S31: analyzing the variation tendency of operation data, obtains analysis result.
Specifically, the data to be tested are carried out with lasting detection, and then continuous operation data can be obtained.For every
Electromechanical equipment, the operation data can pass through the variation tendency to operation data at a time toward the trend inclination broken down
It is analyzed, obtains corresponding analysis result.
S32: analysis result is compared with history detection data, using comparison result as processing result.
Specifically, analysis result is compared with corresponding history detection data, if the variation tendency of the operation data,
In history detection data, which starts variation tendency when breaking down and coincide, then ties the result as processing
Fruit.
In one embodiment, as shown in figure 5, in step s 40, i.e., according to processing result, generating fault pre-alarming diagnosis report
It accuses, specifically comprises the following steps:
S41: according to history detection data, if processing result is in equipment fault trend, event is issued according to equipment fault trend
Hinder early warning information.
Specifically, according to the history detection data, if the processing result has been in equipment fault trend, by with go through
History detection data is compared, judge the equipment fault trend can how long in will appear failure, and by the time with set
The standby corresponding operation data of fault trend is as fault pre-alarming message.
S42: according to the corresponding operation data of fault trend, diagnostic analysis data are generated.
Specifically, the history maintenance side of the corresponding operation data of equipment fault trend is obtained from history detection data
Case, and using the history maintenance program as diagnostic analysis data.
S43: by fault pre-alarming message and diagnostic analysis data, fault pre-alarming diagnosis report is generated.
Specifically, the fault pre-alarming message and diagnostic analysis data are formed into the fault pre-alarming diagnosis report.
In one embodiment, as shown in fig. 6, after the step s 40, electromechanical equipment intelligence O&M method further includes as follows
Step:
S50: fault pre-alarming diagnosis report is stored in history detection data.
Specifically, according to the static data of electromechanical equipment, which is stored in corresponding history and is examined
In measured data.
S60: according to the history detection data of every electromechanical equipment, electromechanical equipment number of faults is obtained.
Specifically, according to the history detection data of every electromechanical equipment, the corresponding equipment fault number of the electromechanical equipment is obtained
Amount, and marked using the corresponding static data memory of the electromechanical equipment.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Embodiment two:
In one embodiment, a kind of electromechanical equipment intelligence operational system is provided, the electromechanical equipment intelligence operational system with it is upper
Electromechanical equipment intelligence O&M method in embodiment is stated to correspond.As shown in fig. 7, the electromechanical equipment intelligence operational system packet
It includes data to be tested and obtains module 10, detection message transmission module 20, processing module 30 and report generation module 40.Each function mould
Detailed description are as follows for block:
Data to be tested obtain module 10, and for the static data according to every electromechanical equipment, acquisition is set with every electromechanics respectively
Standby corresponding data to be tested；
Message transmission module 20 is detected, issues electromechanical equipment detection message for acquiring equipment according to data to be tested forward end,
And obtain operation data corresponding with every electromechanical equipment；
Processing module 30, for being analyzed and processed to operation data, obtaining processing result according to operation data；
Report generation module 40, for generating fault pre-alarming diagnosis report according to processing result.
Preferably, data to be tested acquisition module 10 includes:
Static data acquisition submodule 11, for obtaining every from the device databases of facility information for being stored with electromechanical equipment
The static data of electromechanical equipment；
History detection data acquisition submodule 12 is detected for obtaining history corresponding with every electromechanical equipment according to static data
Data；
Data to be tested acquisition submodule 13 is analyzed for the history detection data to every electromechanical equipment, is corresponded to
Data to be tested.
Preferably, data to be tested acquisition submodule 13 includes:
Analytical unit 131 for obtaining equipment fault data from history detection data, and divides equipment fault data
Analysis, obtains equipment fault analysis result；
Data to be tested acquiring unit 132, for obtaining the data to be tested of every electromechanical equipment according to failure analysis result.
Preferably, processing module 30 includes:
Result acquisition submodule 31 is analyzed, is analyzed for the variation tendency to operation data, analysis result is obtained；
Processing result acquisition submodule 32 is compared for that will analyze result with history detection data, using comparison result as
Processing result.
Preferably, report generation module 40 includes:
Fault pre-alarming message sending submodule 41, according to history detection data, if processing result is in equipment fault trend, root
Fault pre-alarming message is issued according to equipment fault trend；
Diagnostic analysis data generate submodule 42, for generating diagnostic analysis data according to the corresponding operation data of fault trend；
Fault pre-alarming diagnosis report generates submodule 43, for it is pre- to generate failure by fault pre-alarming message and diagnostic analysis data
Alert diagnosis report.
Preferably, electromechanical equipment intelligence operational system further include:
Memory module 50, for fault pre-alarming diagnosis report to be stored in history detection data；
Quantity obtains module 60, for the history detection data according to every electromechanical equipment, obtains electromechanical equipment number of faults.
Specific restriction about electromechanical equipment intelligence operational system may refer to above for electromechanical equipment intelligence
The restriction of O&M method, details are not described herein.Modules in above-mentioned electromechanical equipment intelligence operational system can whole or portion
Divide and is realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of computer equipment
In processor in, can also be stored in a software form in the memory in computer equipment, in order to processor calling hold
The corresponding operation of the above modules of row.
Embodiment three:
In one embodiment, a kind of computer equipment is provided, which can be server, internal structure chart
It can be as shown in Figure 8.The computer equipment includes processor, memory, network interface and the data connected by system bus
Library.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory of the computer equipment includes non-
Volatile storage medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and database.
The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The computer is set
Standby database is for storing history detection data.The network interface of the computer equipment is used to pass through network with external terminal
Connection communication.To realize a kind of electromechanical equipment intelligence O&M method when the computer program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
According to the static data of every electromechanical equipment, data to be tested corresponding with every electromechanical equipment respectively are obtained；
Equipment is acquired according to data to be tested forward end and issues electromechanical equipment detection message, and is obtained corresponding with every electromechanical equipment
Operation data；
According to operation data, operation data is analyzed and processed, obtains processing result；
According to processing result, fault pre-alarming diagnosis report is generated.
Example IV:
In one embodiment, a kind of computer readable storage medium is provided, computer program, computer journey are stored thereon with
It is performed the steps of when sequence is executed by processor
According to the static data of every electromechanical equipment, data to be tested corresponding with every electromechanical equipment respectively are obtained；
Equipment is acquired according to data to be tested forward end and issues electromechanical equipment detection message, and is obtained corresponding with every electromechanical equipment
Operation data；
According to operation data, operation data is analyzed and processed, obtains processing result；
According to processing result, fault pre-alarming diagnosis report is generated.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM(EPROM), electrically erasable ROM(EEPROM) or flash memory.Volatile memory may include
Random-access memory (ram) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM(SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM(ESDRAM), synchronization link (Synchlink) DRAM(SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of the system is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of electromechanical equipment intelligence O&M method, which is characterized in that the electromechanical equipment intelligence O&M method includes:
According to the static data of every electromechanical equipment, data to be tested corresponding with electromechanical equipment described in every respectively are obtained；
Equipment is acquired according to the data to be tested forward end and issues electromechanical equipment detection message, and is obtained and every electromechanics
The corresponding operation data of equipment；
According to the operation data, the operation data is analyzed and processed, processing result is obtained；
According to the processing result, fault pre-alarming diagnosis report is generated.
2. electromechanical equipment intelligence O&M method as described in claim 1, which is characterized in that described according to every electromechanical equipment
Static data, obtain data to be tested corresponding with electromechanical equipment described in every respectively, comprising:
The described quiet of every electromechanical equipment is obtained from the device databases of facility information for being stored with the electromechanical equipment
State data；
History detection data corresponding with electromechanical equipment described in every is obtained according to the static data；
The history detection data of electromechanical equipment described in every is analyzed, the corresponding data to be tested are obtained.
3. electromechanical equipment intelligence O&M method as claimed in claim 2, which is characterized in that described to be set to electromechanics described in every
The standby history detection data is analyzed, and the corresponding data to be tested are obtained, comprising:
Equipment fault data are obtained from the history detection data, and the equipment fault data are analyzed, and are set
Standby failure analysis result；
According to the failure analysis result, the data to be tested of every electromechanical equipment are obtained.
4. electromechanical equipment intelligence O&M method as described in claim 1, which is characterized in that right according to the operation data
The operation data is analyzed and processed, and obtains processing result, comprising:
The variation tendency of the operation data is analyzed, analysis result is obtained；
The analysis result is compared with history detection data, using comparison result as the processing result.
5. electromechanical equipment intelligence O&M method as described in claim 1, which is characterized in that raw according to the processing result
At fault pre-alarming diagnosis report, comprising:
Become if the processing result is in equipment fault trend according to the equipment fault according to the history detection data
Gesture issues fault pre-alarming message；
According to the corresponding operation data of the fault trend, diagnostic analysis data are generated；
By the fault pre-alarming message and the diagnostic analysis data, the fault pre-alarming diagnosis report is generated.
6. electromechanical equipment intelligence O&M method as described in claim 1, which is characterized in that according to the processing result,
After the step of generating fault pre-alarming diagnosis report, the electromechanical equipment intelligence O&M method further include:
The fault pre-alarming diagnosis report is stored in the history detection data；
According to the history detection data of electromechanical equipment described in every, electromechanical equipment number of faults is obtained.
7. a kind of electromechanical equipment intelligence operational system, which is characterized in that the electromechanical equipment intelligence operational system includes:
Data to be tested obtain module, for the static data according to every electromechanical equipment, obtain respectively with electromechanics described in every
The corresponding data to be tested of equipment；
Message transmission module is detected, is disappeared for acquiring equipment according to the data to be tested forward end and issuing electromechanical equipment and detect
Breath, and obtain operation data corresponding with electromechanical equipment described in every；
Processing module, for being analyzed and processed to the operation data, obtaining processing result according to the operation data；
Report generation module, for generating fault pre-alarming diagnosis report according to the processing result.
8. electromechanical equipment intelligence operational system as claimed in claim 6, which is characterized in that the data to be tested obtain mould
Block includes:
Static data acquisition submodule, it is every for being obtained from the device databases of facility information for being stored with the electromechanical equipment
The static data of electromechanical equipment described in platform；
History detection data acquisition submodule, for obtaining go through corresponding with electromechanical equipment described in every according to the static data
History detection data；
Data to be tested acquisition submodule is analyzed for the history detection data to electromechanical equipment described in every, is obtained
To the corresponding data to be tested.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
The step of any one of 6 electromechanical equipment intelligence O&M method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization electromechanical equipment intelligence O&M as described in any one of claim 1 to 6 when the computer program is executed by processor
The step of method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811560377.7A CN109754094A (en) | 2018-12-20 | 2018-12-20 | Electromechanical equipment intelligence O&M method, system, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811560377.7A CN109754094A (en) | 2018-12-20 | 2018-12-20 | Electromechanical equipment intelligence O&M method, system, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668729A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Equipment data analysis method and device, computer equipment and readable storage medium |
| CN113778033A (en) * | 2021-09-10 | 2021-12-10 | 北京广利核系统工程有限公司 | Method, device, equipment and medium for detecting running state of distributed control system |
| CN115908871A (en) * | 2022-10-27 | 2023-04-04 | 广州城轨科技有限公司 | Wearable equipment track equipment data detection method, device, equipment and medium |
| CN118941006A (en) * | 2024-07-15 | 2024-11-12 | 广州冠达机电设备工程有限公司 | Electromechanical equipment operation data processing method, system and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130190095A1 (en) * | 2008-11-18 | 2013-07-25 | Spielo International ULC | Faults and Performance Issue Prediction |
| US20160091397A1 (en) * | 2014-09-25 | 2016-03-31 | General Electric Company | Systems and methods for fault analysis |
| CN105737903A (en) * | 2016-04-27 | 2016-07-06 | 於斌 | Intelligent pre-diagnosis and maintenance intelligent early warning method for faults of port machinery |
| CN106384154A (en) * | 2016-08-18 | 2017-02-08 | 广州市迪士普音响科技有限公司 | Self-checking and fault self-processing method and system of intelligent platform |
| CN106429684A (en) * | 2016-10-17 | 2017-02-22 | 永大电梯设备（中国）有限公司 | Elevator running state active checking method |
| CN107862052A (en) * | 2017-11-08 | 2018-03-30 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of fault case storehouse, fault tree and fault spectrum construction method |
| CN108199795A (en) * | 2017-12-29 | 2018-06-22 | 北京百分点信息科技有限公司 | The monitoring method and device of a kind of equipment state |
| CN108965403A (en) * | 2018-06-27 | 2018-12-07 | 平安科技（深圳）有限公司 | O&M monitors establishment of connection method and terminal device |
| CN109032891A (en) * | 2018-07-23 | 2018-12-18 | 郑州云海信息技术有限公司 | A kind of cloud computing server hard disk failure prediction technique and device |
-
2018
- 2018-12-20 CN CN201811560377.7A patent/CN109754094A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130190095A1 (en) * | 2008-11-18 | 2013-07-25 | Spielo International ULC | Faults and Performance Issue Prediction |
| US20160091397A1 (en) * | 2014-09-25 | 2016-03-31 | General Electric Company | Systems and methods for fault analysis |
| CN105737903A (en) * | 2016-04-27 | 2016-07-06 | 於斌 | Intelligent pre-diagnosis and maintenance intelligent early warning method for faults of port machinery |
| CN106384154A (en) * | 2016-08-18 | 2017-02-08 | 广州市迪士普音响科技有限公司 | Self-checking and fault self-processing method and system of intelligent platform |
| CN106429684A (en) * | 2016-10-17 | 2017-02-22 | 永大电梯设备（中国）有限公司 | Elevator running state active checking method |
| CN107862052A (en) * | 2017-11-08 | 2018-03-30 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of fault case storehouse, fault tree and fault spectrum construction method |
| CN108199795A (en) * | 2017-12-29 | 2018-06-22 | 北京百分点信息科技有限公司 | The monitoring method and device of a kind of equipment state |
| CN108965403A (en) * | 2018-06-27 | 2018-12-07 | 平安科技（深圳）有限公司 | O&M monitors establishment of connection method and terminal device |
| CN109032891A (en) * | 2018-07-23 | 2018-12-18 | 郑州云海信息技术有限公司 | A kind of cloud computing server hard disk failure prediction technique and device |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112668729A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Equipment data analysis method and device, computer equipment and readable storage medium |
| CN112668729B (en) * | 2019-10-15 | 2024-12-27 | 深圳怡化电脑股份有限公司 | Device data analysis method, device, computer device and readable storage medium |
| CN113778033A (en) * | 2021-09-10 | 2021-12-10 | 北京广利核系统工程有限公司 | Method, device, equipment and medium for detecting running state of distributed control system |
| CN115908871A (en) * | 2022-10-27 | 2023-04-04 | 广州城轨科技有限公司 | Wearable equipment track equipment data detection method, device, equipment and medium |
| CN115908871B (en) * | 2022-10-27 | 2023-07-28 | 广州城轨科技有限公司 | Wearable equipment track equipment data detection method, device, equipment and medium |
| CN118941006A (en) * | 2024-07-15 | 2024-11-12 | 广州冠达机电设备工程有限公司 | Electromechanical equipment operation data processing method, system and storage medium |
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