CN103575560A - Intelligent early warning system for electromechanical equipment - Google Patents
Intelligent early warning system for electromechanical equipment Download PDFInfo
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- CN103575560A CN103575560A CN201310549814.6A CN201310549814A CN103575560A CN 103575560 A CN103575560 A CN 103575560A CN 201310549814 A CN201310549814 A CN 201310549814A CN 103575560 A CN103575560 A CN 103575560A
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- electromechanical equipment
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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
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
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Abstract
The invention relates to an intelligent early warning system for electromechanical equipment. The intelligent early warning system comprises a data collecting unit, an operation model self-learning system, an operation information analyzing system, a fault information processing unit and a logic control unit. The data collecting unit is connected with the electromechanical equipment and the operation model self-learning system, the operation information analyzing system is connected between the data collecting unit and the operation model self-learning system, the fault information processing unit is connected with the output end of the operation information analyzing system, and the input end of the logic control unit and the output end of the fault information processing unit are connected and control the electromechanical equipment. On the basis of operation parameters of the electromechanical equipment, the intelligent early warning system can accurately learn whether the electromechanical equipment operates normally or not by comparing a standard operation model built in the self-learning system with the operation parameters newly collected in real time, and can effectively control fault expansion and reduce abnormal shut-down phenomena of the electromechanical equipment when the electromechanical equipment operation is abnormal.
Description
Technical field
The system of the abnormal conditions of its emerged in operation is monitored and is processed in the operation that the present invention relates to a kind of electromechanical equipment.
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, some specific installation especially, as elevator etc., its disorderly closedown can bring very large dangerous factor, therefore it is significant that it is carried out to the Study on Fault.Therefore, need a kind of can the intelligentized operation conditions to electromechanical equipment monitoring and can in time, effectively process the system of its failure condition.
Summary of the invention
The object of this invention is to provide a kind of operation of monitoring electromechanical equipment and the fault of its appearance is processed and the system of early warning.
For achieving the above object, the technical solution used in the present invention is:
An intelligent early-warning system, is connected with electromechanical equipment for monitoring the ruuning situation of electromechanical equipment and its abnormal conditions being carried out to early warning and processing, 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 and is less than dangerous values, it sends early warning signal, if the difference of the two is more than or equal to dangerous values, 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 the described early warning signal of described operation information analytic system output or described equipment failure signal, corresponding processing signals is processed and sent to described failure message processing unit to described equipment failure signal;
Logic control element, the input end of described logic control element is connected with the output terminal of described failure message processing unit, and the described processing signals that it sends according to described failure message processing unit is controlled the control device of electromechanical equipment; When described operation information analytic system is sent described early warning signal, the control device that described failure message processing unit is controlled electromechanical equipment by described logic control element makes electromechanical equipment out of service after this cycle of operation finishes; When described operation information analytic system is sent described equipment failure signal, the control device that described failure message processing unit is controlled electromechanical equipment by described logic control element makes electromechanical equipment out of service.
Preferably, the control device of electromechanical equipment comprises the state relay being connected with described logic control element.
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, and described logic control element is connected with described contactor and controls described contactor.
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.
Preferably, described data acquisition unit is connected with the real-time running data storehouse of the operation information of storage electromechanical equipment, the output terminal of described operation information analytic system is connected with the failure information database of failure message of storage electromechanical equipment, the master pattern database of the described standard moving model after the output terminal of described moving model self learning system is connected with storage and refreshes at every turn.
Preferably, described real-time running data storehouse, described failure information database and described master pattern database are connected with the information board of the operation information that shows electromechanical equipment jointly.
Preferably, described moving model self learning system is connected with the master control system of electromechanical equipment by communications protocol.
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; can know more exactly whether normally operation of electromechanical equipment; when electromechanical equipment operation appearance is abnormal; can process accordingly and early warning for different abnormal conditions, thereby effectively control the disorderly closedown phenomenon that fault expands and reduce electromechanical equipment.
Accompanying drawing explanation
Accompanying drawing 1 is the principle schematic of electromechanical equipment intelligent early-warning 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 monitoring the ruuning situation of electromechanical equipment an electromechanical equipment intelligent early-warning system that its abnormal conditions is carried out to early warning and processing, comprises data acquisition unit, moving model self learning system, operation information analytic system, failure message processing unit and logic control element.
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.Contactor K1 can be used as the control device of electromechanical equipment.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.Moving model self learning system is connected with the master control system of electromechanical equipment by communications protocol.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 and is less than dangerous values, it sends early warning signal, if the difference of the two is more than or equal to dangerous values, 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 data acquisition unit is newly collected is sent into and in moving model self learning system, is refreshed standard moving model.Above-mentioned allowed value range and dangerous values can be set according to the actual state of distinct device.
Failure message processing unit is connected with the output terminal of operation information analytic system, when operation information analytic system output early warning signal or equipment failure signal, corresponding processing signals is processed and sent to failure message processing unit to the logic control element being connected with its output terminal to equipment failure signal.Processing signals that logic control element sends according to failure message processing unit is controlled the control device of electromechanical equipment, and the control device of this electromechanical equipment comprises state relay in electromechanical equipment and the contactor K1 in data acquisition unit.When operation information analytic system is sent early warning signal, the control device that failure message processing unit is controlled electromechanical equipment by logic control element makes electromechanical equipment out of service after this cycle of operation finishes; When operation information analytic system is sent equipment failure signal, the control device that failure message processing unit is controlled electromechanical equipment by logic control element makes electromechanical equipment out of service.
The output terminal of operation information analytic system is connected with the failure information database of failure message of storage electromechanical equipment, the master pattern database of the standard moving model after the output terminal of moving model self learning system is connected with storage and refreshes at every turn.And real-time running data storehouse, failure information database and master pattern database are connected with the information board of the operation information that shows electromechanical equipment jointly.By this information board, not only can obtain in real time the operating parameters of electromechanical equipment, can also display alarm signal and predict the potential failure message of electromechanical equipment.
By above-mentioned electromechanical equipment intelligent early-warning system, can monitor in real time the running status of electromechanical equipment, and can make corresponding processing for different malfunctions, can effectively control the disorderly closedown phenomenon that fault expands and reduce electromechanical equipment.
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 (7)
1. an electromechanical equipment intelligent early-warning system, is connected with electromechanical equipment for monitoring the ruuning situation of electromechanical equipment and its abnormal conditions being carried out to early warning and processing, 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 and is less than dangerous values, it sends early warning signal, if the difference of the two is more than or equal to dangerous values, 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 the described early warning signal of described operation information analytic system output or described equipment failure signal, corresponding processing signals is processed and sent to described failure message processing unit to described equipment failure signal;
Logic control element, the input end of described logic control element is connected with the output terminal of described failure message processing unit, and the described processing signals that it sends according to described failure message processing unit is controlled the control device of electromechanical equipment; When described operation information analytic system is sent described early warning signal, the control device that described failure message processing unit is controlled electromechanical equipment by described logic control element makes electromechanical equipment out of service after this cycle of operation finishes; When described operation information analytic system is sent described equipment failure signal, the control device that described failure message processing unit is controlled electromechanical equipment by described logic control element makes electromechanical equipment out of service.
2. electromechanical equipment intelligent early-warning system according to claim 1, is characterized in that: the control device of electromechanical equipment comprises the state relay being connected with described logic control element.
3. electromechanical equipment intelligent early-warning system according to claim 1, 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, and described logic control element is connected with described contactor and controls described contactor.
4. electromechanical equipment intelligent early-warning system according to claim 3, 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.
5. electromechanical equipment intelligent early-warning system according to claim 1, it is characterized in that: described data acquisition unit is connected with the real-time running data storehouse of the operation information of storage electromechanical equipment, the output terminal of described operation information analytic system is connected with the failure information database of failure message of storage electromechanical equipment, the master pattern database of the described standard moving model after the output terminal of described moving model self learning system is connected with storage and refreshes at every turn.
6. electromechanical equipment intelligent early-warning system according to claim 5, is characterized in that: described real-time running data storehouse, described failure information database and described master pattern database are connected with the information board of the operation information that shows electromechanical equipment jointly.
7. electromechanical equipment intelligent early-warning system according to claim 1, is characterized in that: described moving model self learning system is connected with the master control system of electromechanical equipment by communications protocol.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310549814.6A CN103575560A (en) | 2013-11-08 | 2013-11-08 | Intelligent early warning system for electromechanical equipment |
| PCT/CN2014/083936 WO2015067077A1 (en) | 2013-11-08 | 2014-08-08 | Intelligent early warning system for electromechanical equipment |
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| CN201310549814.6A CN103575560A (en) | 2013-11-08 | 2013-11-08 | Intelligent early warning system for electromechanical equipment |
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| CN109675983A (en) * | 2018-12-20 | 2019-04-26 | 北京计算机技术及应用研究所 | A kind of device that bending machine pressure accurately controls |
| CN109945930A (en) * | 2019-04-16 | 2019-06-28 | 山东理工职业学院 | A kind of electromechanical equipment fault detection approach based on electromagnetic technique |
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| CN105059867A (en) * | 2015-08-07 | 2015-11-18 | 张掖市博丰农业科技有限责任公司 | Multi-stage conveying PLC control system |
| CN105223892A (en) * | 2015-10-29 | 2016-01-06 | 苏州康开电气有限公司 | Intelligent transformer |
| CN105513523A (en) * | 2016-01-29 | 2016-04-20 | 北京航星力源科技有限公司 | Automatic multi-functional display circuit for power electronic equipment |
| CN106053105A (en) * | 2016-05-10 | 2016-10-26 | 中广核工程有限公司 | Nuclear power station regenerative heater energy efficiency monitoring and diagnosing method and system |
| CN106053105B (en) * | 2016-05-10 | 2019-09-27 | 中广核工程有限公司 | A kind of method and system of nuclear power station bleeder heater energy efficiency monitoring and diagnosis |
| CN107650840A (en) * | 2017-08-26 | 2018-02-02 | 上海魁殊自动化科技有限公司 | A kind of device for being used to provide voltage to motor vehicles control device |
| CN109675983A (en) * | 2018-12-20 | 2019-04-26 | 北京计算机技术及应用研究所 | A kind of device that bending machine pressure accurately controls |
| CN109945930A (en) * | 2019-04-16 | 2019-06-28 | 山东理工职业学院 | A kind of electromechanical equipment fault detection approach based on electromagnetic technique |
| CN112602562A (en) * | 2020-12-02 | 2021-04-06 | 深圳市农博创新科技有限公司 | Irrigation pipeline fault detection system based on machine learning and intelligent irrigation system |
| CN113296456A (en) * | 2021-05-24 | 2021-08-24 | 姚钧腾 | Electric automation equipment fault detection system |
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| WO2015067077A1 (en) | 2015-05-14 |
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