CN103575334A - Electromechanical device intelligent analysis system - Google Patents
Electromechanical device intelligent analysis system Download PDFInfo
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- CN103575334A CN103575334A CN201310549342.4A CN201310549342A CN103575334A CN 103575334 A CN103575334 A CN 103575334A CN 201310549342 A CN201310549342 A CN 201310549342A CN 103575334 A CN103575334 A CN 103575334A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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Abstract
The invention relates to an electromechanical device intelligent analysis system which comprises a data collecting unit connected with an electromechanical device, an operation model self-learning system connected with the data collecting unit through an operation information analysis system, and a fault information processing unit. The operation model self-learning system establishes and refreshes standard operation thereof according to a plurality of parameters of electromechanical device operation. The operation information analysis system compares parameters newly collected by the data collecting unit with parameters in the standard operation model in the operation model self-learning system and outputs device fault signals or device normal signals. The fault information processing unit is connected with the output end of the operation information analysis system and processes the device fault signals. According to the electromechanical device intelligent analysis system, the standard operation model established in the self-learning system can be compared with the operation parameters newly collected in real time based on the operation parameters of the electromechanical device so that whether the electromechanical device operates normally can be known accurately, and guarantee is provided for operation analysis of the electromechanical device.
Description
Technical field
The present invention relates to a kind of system of the operation of electromechanical equipment being carried out to intellectual analysis.
Background technology
Existing electromechanical equipment is in operation while breaking down, and conventionally adopts fuse or air switch to protect.Because fault-signal can not known in advance; make now can cause electromechanical equipment disorderly closedown; especially some specific installation; as elevator etc.; its disorderly closedown can bring very large dangerous factor or heavy economic losses, therefore the research that it is obtained to fault-signal is in advance significant.Yet, when research staff adopts existing equipment and method to analyze electromechanical equipment, often cannot accurately judge that whether the operation of electromechanical equipment is normal, thereby to still there is a difficult problem in the operating analysis of electromechanical equipment.
Summary of the invention
The whether normal electromechanical equipment intelligent analysis system of operation that the object of this invention is to provide a kind of electromechanical equipment that can correctly judge.
For achieving the above object, the technical solution used in the present invention is:
An intelligent analysis system, is connected and analyzes for the operation to electromechanical equipment with electromechanical equipment, and it comprises
Data acquisition unit, described data acquisition unit is connected with electromechanical equipment and the operating multiple parameters of Real-time Collection electromechanical equipment;
Moving model self learning system, described moving model self learning system is connected with described data acquisition unit and sets up its standard moving model and refresh described standard moving model according to the operating multiple parameters of electromechanical equipment;
Operation information analytic system, between data acquisition unit described in described operation information analytic system is connected in and described moving model self learning system, parameter in standard moving model in the parameter that it newly collects described data acquisition unit and described moving model self learning system compares, if the difference of the two is more than or equal to allowed value range, it sends equipment failure signal, if the difference of the two is less than allowed value range, output device normal signal, and the parameter that described data acquisition unit is newly collected is sent into and in described moving model self learning system, is refreshed described standard moving model,
Failure message processing unit, described failure message processing unit is connected with the output terminal of described operation information analytic system, when described operation information analytic system is exported described equipment failure signal, described failure message processing unit is processed described equipment failure signal.
Preferably, it also comprises the failure information database that is connected and stores the failure message of electromechanical equipment with the output terminal of described operation information analytic system.
Preferably, the master pattern database of the described standard moving model of the output terminal of described moving model self learning system after being also connected with storage and refreshing at every turn.
Preferably, described data acquisition unit comprises
Connect wire, described connection wire is connected between power supply and electromechanical equipment;
Current transformer, described current transformer is arranged on described connection wire, described between described current transformer and described power supply is connected and on wire, is provided with power switch, described current transformer is provided with contactor with described being connected on wire between electromechanical equipment, and described current transformer gathers the electric current on described connection wire;
Voltage transmitter, the input end of described voltage transmitter is connected with the described wire that is connected, and described voltage transmitter gathers voltage the output voltage signal on described connection wire;
Current transducer, the input end of described current transducer is connected with the output terminal of described current transformer, and described current transducer is current signal output by the current conversion of described current transformer collection;
Temperature sensor, described temperature sensor is connected with electromechanical equipment and gathers its temperature and output temperature signal;
Pressure transducer, described pressure transducer is connected with electromechanical equipment and gathers its pressure and output pressure signal;
Arc detector, described arc detector is connected with electromechanical equipment and surveys arc light wherein and export arcing detection signal;
Logical signal collector, described logical signal collector is connected with electromechanical equipment and gathers its logical signal output;
A plurality of A/D converters, the input end of a plurality of described A/D converters is connected with described voltage transmitter, described current transducer, described temperature sensor, described pressure transducer, described arc detector, described logical signal collector respectively, and respectively described voltage signal, described current signal, described temperature signal, described pressure signal, described arcing detection signal and described logical signal is carried out exporting after A/D conversion;
Real-time information stores processor system, the input end of described real-time information stores processor system is connected with the output terminal of a plurality of described A/D converters and the described voltage signal after A/D conversion, described current signal, described temperature signal, described pressure signal, described arcing detection signal and described logical signal is processed;
Described operation information analytic system is connected with the output terminal of described real-time information stores processor system.
Preferably, described data acquisition unit also comprises that input end is connected with the output terminal of described real-time information stores processor system and for storing the real-time running data storehouse of the operation information of electromechanical equipment.
Preferably, described data acquisition unit also comprises power supply unit, the input end of described power supply unit is connected with power supply, and output terminal is connected and powers with described A/D converter, described real-time information stores processor system, described real-time running data storehouse.
Because technique scheme is used, the present invention compared with prior art has following advantages: the operational factor that the present invention can be based on electromechanical equipment, by the standard moving model set up in self learning system and the operational factor of real time new collection, compare, thereby can know more exactly whether normally operation of electromechanical equipment, for the operating analysis of electromechanical equipment provides safeguard.
Accompanying drawing explanation
Accompanying drawing 1 is the principle schematic of electromechanical equipment intelligent analysis system of the present invention.
Embodiment
Below in conjunction with embodiment shown in the drawings, the invention will be further described.
Embodiment mono-: shown in accompanying drawing 1.
Electromechanical equipment is connected for the electromechanical equipment intelligent analysis system that the operation of electromechanical equipment is analyzed, and comprises data acquisition unit, moving model self learning system, operation information analytic system and failure message processing unit.
Data acquisition unit is connected with electromechanical equipment and the operating multiple parameters of Real-time Collection electromechanical equipment.Concrete, data acquisition unit comprises connection wire, Current Transmit 1-CT3, voltage transmitter U, current transducer I, temperature sensor T, pressure transducer P, arc detector Λ, logical signal collector L, a plurality of A/D converter, real-time information stores processor system, real-time running data storehouse and power supply unit.
Connecting wire is connected between power supply and electromechanical equipment.It comprises three phase lines and a zero line.Current Transmit 1-CT3 is arranged at and connects on wire, in three phase lines, is provided with current transformer, is respectively CT1-CT3.Being connected between Current Transmit 1-CT3 and power supply is provided with power switch KF1 on wire, being connected on wire between current transformer and electromechanical equipment is provided with contactor K1, in three phase lines, is provided with contactor K1.The input end of voltage transmitter U be connected wire and be connected.The input end of current transducer I is connected with the output terminal of Current Transmit 1-CT3.Temperature sensor T, pressure transducer P, arc detector Λ, logical signal collector L are all connected with electromechanical equipment.The input end of a plurality of A/D converters is connected with voltage transmitter U, current transducer I, temperature sensor T, pressure transducer P, arc detector Λ, logical signal collector L respectively.The input end of real-time information stores processor system is connected with the output terminal of a plurality of A/D converters.The input end in real-time running data storehouse is connected with the output terminal of real-time information stores processor system.The input end of power supply unit is connected with power supply, and output terminal is connected and powers with A/D converter, real-time information stores processor system, real-time running data storehouse.
The course of work of above-mentioned data acquisition unit is as follows: Current Transmit 1-CT3 gathers the electric current connecting on wire, and transfers in current transducer I, and the current conversion that current transducer I gathers Current Transmit 1-CT3 is current signal output.Voltage transmitter U gathers voltage the output voltage signal connecting on wire.Temperature sensor T gathers the temperature in somewhere in electromechanical equipment and output temperature signal.Pressure transducer P gathers the pressure in somewhere in electromechanical equipment and output pressure signal.Arc detector Λ surveys the arc light in electromechanical equipment and exports arcing detection signal.Logical signal collector L gathers logical signal the output in electromechanical equipment.Each A/D converter carries out exporting after A/D conversion to voltage signal, current signal, temperature signal, pressure signal, arcing detection signal and logical signal respectively.Voltage signal, current signal, temperature signal, pressure signal, arcing detection signal and logical signal after A/D conversion are input in real-time information stores processor system to be processed, and every operation information of the acquisition electromechanical equipment after processing also stores in real-time running data storehouse.
Moving model self learning system is connected with data acquisition unit through operation information analytic system, it processes according to voltage signal, current signal, temperature signal, pressure signal, arcing detection signal and logical signal after A/D conversion are sent into real-time information stores processor system the standard moving model that the operating multiple parameters of electromechanical equipment of rear acquisition is set up electromechanical equipment, and according to the periodic refresh standard moving model setting.The output terminal of moving model self learning system is also connected with master pattern database, and it stores the standard moving model after at every turn refreshing.
Operation information analytic system is connected with the real-time information stores processor system in data acquisition unit, and the parameter in the standard moving model in the parameter that it newly collects data acquisition unit and moving model self learning system compares.If the difference of the two is more than or equal to allowed value range, illustrate that electromechanical equipment breaks down and reaches danger classes, it sends equipment failure signal; If the difference of the two is less than allowed value range; illustrate that electromechanical equipment normal operation or fault do not reach danger classes; its output device normal signal, and the parameter that data acquisition unit is newly collected is sent into and in moving model self learning system, is periodically refreshed standard moving model.
Failure message processing unit is connected with the output terminal of operation information analytic system, and when operation information analytic system output device fault-signal, failure message processing unit is processed equipment failure signal.
Failure information database is connected with the output terminal of operation information analytic system, and it is for storing the failure message of electromechanical equipment.
Whether the running status that can judge more accurately electromechanical equipment by above-mentioned electromechanical equipment intelligent analysis system is normal, and can realize while not reaching its danger classes in the process of electromechanical equipment operation, knows in advance potential device fault information.
Above-described embodiment is only explanation technical conceive of the present invention and feature, and its object is to allow person skilled in the art can understand content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences that Spirit Essence is done according to the present invention change or modify, within all should being encompassed in protection scope of the present invention.
Claims (6)
1. an electromechanical equipment intelligent analysis system, is connected and analyzes for the operation to electromechanical equipment with electromechanical equipment, it is characterized in that: it comprises
Data acquisition unit, described data acquisition unit is connected with electromechanical equipment and the operating multiple parameters of Real-time Collection electromechanical equipment;
Moving model self learning system, described moving model self learning system is connected with described data acquisition unit and sets up its standard moving model and refresh described standard moving model according to the operating multiple parameters of electromechanical equipment;
Operation information analytic system, between data acquisition unit described in described operation information analytic system is connected in and described moving model self learning system, parameter in standard moving model in the parameter that it newly collects described data acquisition unit and described moving model self learning system compares, if the difference of the two is more than or equal to allowed value range, it sends equipment failure signal, if the difference of the two is less than allowed value range, output device normal signal, and the parameter that described data acquisition unit is newly collected is sent into and in described moving model self learning system, is refreshed described standard moving model,
Failure message processing unit, described failure message processing unit is connected with the output terminal of described operation information analytic system, when described operation information analytic system is exported described equipment failure signal, described failure message processing unit is processed described equipment failure signal.
2. electromechanical equipment intelligent analysis system according to claim 1, is characterized in that: it also comprises the failure information database that is connected and stores the failure message of electromechanical equipment with the output terminal of described operation information analytic system.
3. electromechanical equipment intelligent analysis system according to claim 1 and 2, is characterized in that: the master pattern database of the described standard moving model after the output terminal of described moving model self learning system is also connected with storage and refreshes at every turn.
4. electromechanical equipment intelligent analysis system according to claim 1 and 2, is characterized in that: described data acquisition unit comprises
Connect wire, described connection wire is connected between power supply and electromechanical equipment;
Current transformer, described current transformer is arranged on described connection wire, described between described current transformer and described power supply is connected and on wire, is provided with power switch, described current transformer is provided with contactor with described being connected on wire between electromechanical equipment, and described current transformer gathers the electric current on described connection wire;
Voltage transmitter, the input end of described voltage transmitter is connected with the described wire that is connected, and described voltage transmitter gathers voltage the output voltage signal on described connection wire;
Current transducer, the input end of described current transducer is connected with the output terminal of described current transformer, and described current transducer is current signal output by the current conversion of described current transformer collection;
Temperature sensor, described temperature sensor is connected with electromechanical equipment and gathers its temperature and output temperature signal;
Pressure transducer, described pressure transducer is connected with electromechanical equipment and gathers its pressure and output pressure signal;
Arc detector, described arc detector is connected with electromechanical equipment and surveys arc light wherein and export arcing detection signal;
Logical signal collector, described logical signal collector is connected with electromechanical equipment and gathers its logical signal output;
A plurality of A/D converters, the input end of a plurality of described A/D converters is connected with described voltage transmitter, described current transducer, described temperature sensor, described pressure transducer, described arc detector, described logical signal collector respectively, and respectively described voltage signal, described current signal, described temperature signal, described pressure signal, described arcing detection signal and described logical signal is carried out exporting after A/D conversion;
Real-time information stores processor system, the input end of described real-time information stores processor system is connected with the output terminal of a plurality of described A/D converters and the described voltage signal after A/D conversion, described current signal, described temperature signal, described pressure signal, described arcing detection signal and described logical signal is processed;
Described operation information analytic system is connected with the output terminal of described real-time information stores processor system.
5. electromechanical equipment intelligent analysis system according to claim 4, is characterized in that: described data acquisition unit also comprises that input end is connected with the output terminal of described real-time information stores processor system and for storing the real-time running data storehouse of the operation information of electromechanical equipment.
6. electromechanical equipment intelligent analysis system according to claim 4, it is characterized in that: described data acquisition unit also comprises power supply unit, the input end of described power supply unit is connected with power supply, and output terminal is connected and powers with described A/D converter, described real-time information stores processor system, described real-time running data storehouse.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201310549342.4A CN103575334A (en) | 2013-11-08 | 2013-11-08 | Electromechanical device intelligent analysis system |
| PCT/CN2014/083949 WO2015067079A1 (en) | 2013-11-08 | 2014-08-08 | Intelligent analysis system for electromechanical equipment |
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| CN201310549342.4A CN103575334A (en) | 2013-11-08 | 2013-11-08 | Electromechanical device intelligent analysis system |
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| CN103575334A true CN103575334A (en) | 2014-02-12 |
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| WO2015067079A1 (en) * | 2013-11-08 | 2015-05-14 | 苏州康开电气有限公司 | Intelligent analysis system for electromechanical equipment |
| WO2015067077A1 (en) * | 2013-11-08 | 2015-05-14 | 苏州康开电气有限公司 | Intelligent early warning system for electromechanical equipment |
| WO2015067080A1 (en) * | 2013-11-08 | 2015-05-14 | 苏州康开电气有限公司 | Intelligent information collection system for electromechanical equipment |
| CN105223892A (en) * | 2015-10-29 | 2016-01-06 | 苏州康开电气有限公司 | Intelligent transformer |
| CN106706039A (en) * | 2017-01-11 | 2017-05-24 | 黑龙江大学 | Online testing device, online testing system and online testing method for electromechanical equipment |
| CN109084846A (en) * | 2018-09-19 | 2018-12-25 | 格鲁克（天津）工业科技有限公司 | A kind of novel signal distributor applied to sewage treatment |
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| WO2015067079A1 (en) | 2015-05-14 |
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