CN105716651A - Intelligent power grid equipment on-line monitoring system - Google Patents
Intelligent power grid equipment on-line monitoring system Download PDFInfo
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- CN105716651A CN105716651A CN201410722718.1A CN201410722718A CN105716651A CN 105716651 A CN105716651 A CN 105716651A CN 201410722718 A CN201410722718 A CN 201410722718A CN 105716651 A CN105716651 A CN 105716651A
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Abstract
The invention discloses an intelligent power grid equipment on-line monitoring system including a sensor set, a signal processor, an A/D converter, a DSP controller, a wireless communication module, a wireless center sensing network, a monitoring center, and an artificial intelligence diagnosis system. The sensor set is composed of a voltage sensor, a temperature sensor, a current sensor and a gas sensor which are connected with the signal processor. The signal processor is connected with the A/D converter, and the A/D converter is connected with the DSP controller. The wireless communication module is connected with the DSP controller. The wireless center sensing network is connected with the wireless communication module, and the wireless center sensing network is further connected with the monitoring center. The monitoring center is equipped with the artificial intelligence diagnosis system, and the artificial intelligence diagnosis system is connected with the monitoring center. With the intelligent power grid equipment on-line monitoring system, the time for planned power outage is reduced greatly, the running reliability of a power system is improved, the initial failure of power equipment can be found out timely, measures can be taken timely, and the degree of damage to equipment is reduced.
Description
Technical field
The invention belongs to intelligent power grid technology field, be specifically related to a kind of intelligent grid equipment on-line monitoring system.
Background technology
Power equipment is the most important core of intelligent grid, and it properly functioning is the basic assurance of power grid security.Power equipment in intelligent grid includes: large-scale power transformer；Defeated, power distribution network (aerial line, cable tunnel)；Relay protection, control equipment, it is possible to include the equipment such as electromotor.Along with society and expanding economy, electrical network becomes increasingly complex, and more and more intelligent, if a part goes wrong, it will affect the operation of whole electrical network, so the on-line monitoring of power equipment is imperative.
Summary of the invention
It is an object of the invention to overcome above-mentioned deficiency of the prior art, it is provided that a kind of intelligent grid equipment on-line monitoring system, it can greatly reduce the time of scheduled outage, improves the reliability of Operation of Electric Systems；Power equipment incipient failure can be found early, and take measures in time, reduce device damage degree.
For achieving the above object, the technical solution used in the present invention is: a kind of intelligent grid equipment on-line monitoring system, it is characterized in that: include sensor group, signal processor, A/D converter, dsp controller, wireless communication module, wireless center sensing network, monitoring center and artificial intelligence diagnosis's system, described sensor group is sensed by the voltage sensor of power equipment voltage, for detecting the temperature sensor of power equipment temperature, form for detecting the current sensor of power equipment electric current and the gas sensor for detecting power equipment ambient gas, described voltage sensor, temperature sensor, current sensor and gas sensor are all connected with signal processor and the signal of detection are passed to signal processor, described signal processor is connected with A/D converter and continuously varying analog signal will be converted to time-discrete digital signal in time by A/D converter, described A/D converter is connected with dsp controller and digital signal is passed to dsp controller, described wireless communication module is connected with dsp controller, described wireless center sensing network is connected with wireless communication module, described wireless center sensing network is also connected with monitoring center and signal is passed to monitoring center, described monitoring center is provided with the artificial intelligence diagnosis's system for intelligent diagnostics, described artificial intelligence diagnosis's system is connected with monitoring center and diagnostic result is passed to monitoring center.
Above-mentioned a kind of intelligent grid equipment on-line monitoring system, it is characterised in that: described signal processor is high-speed type AD9618 integration module.
Above-mentioned a kind of intelligent grid equipment on-line monitoring system, it is characterised in that: described A/D converter adopts integrated gradually comparison A/D C0804 analog-digital converter.
Above-mentioned a kind of intelligent grid equipment on-line monitoring system, it is characterised in that: described wireless center sensing network carries out data interaction by Zigbee, GPRS, CDMA or 4G and wireless communication module.
Above-mentioned a kind of intelligent grid equipment on-line monitoring system, it is characterised in that: described artificial intelligence diagnosis's system is made up of knowledge base, data base, explanation facility, inference machine and man-machine interface five part.
The present invention compared with prior art has the advantage that
1, the present invention can greatly reduce the time of scheduled outage, improves the reliability of Operation of Electric Systems；Power equipment incipient failure can be found early, and take measures in time, reduce device damage degree；Realize the maintenance of basic status, extend power equipment service intervals and service life.
2, signal processor of the present invention is made up of tailored version integrated circuit operational amplifier, and its effect is faint electromagnetic signal to be amplified, and this system adopts high-speed type AD9618 integration module, and its conversion rate SR reaches as high as 1800V/ μ s.
3, A/D converter of the present invention adopts integrated gradually comparison A/D C0804 analog-digital converter, conversion speed is fast, precision is high feature that it has.
4, the present invention is in order to improve the interference free performance of system, adopts photoelectronic coupler to isolate input, output signal, even adopts fiber-optic transfer to carry out Phototube Coupling.
5, the artificial intelligent diagnosis system of the present invention is for analyzing, detect, judge the related data that in operation, power equipment measures, and to draw corresponding diagnosis, namely realizes the on-line monitoring of automatization highly integrated, high, high-intelligentization.
Below by drawings and Examples, the present invention is described in further detail.
Accompanying drawing explanation
Fig. 1 is the schematic block circuit diagram of the present invention.
Description of reference numerals:
1 voltage sensor；2 temperature sensors；3 current sensors；
4 gas sensors；5 signal processors；6 A/D converters；
7 dsp controllers；8 wireless communication modules；9 wireless center sensing networks；
10 monitoring center；11 artificial intelligence diagnosis's systems.
Detailed description of the invention
As shown in Figure 1, the present invention includes sensor group, signal processor 5, A/D converter 6, dsp controller 7, wireless communication module 8, wireless center sensing network 9, monitoring center 10 and artificial intelligence diagnosis's system 11, described sensor group is sensed by the voltage sensor 1 of power equipment voltage, for detecting the temperature sensor 2 of power equipment temperature, form for detecting the current sensor 3 of power equipment electric current and the gas sensor 4 for detecting power equipment ambient gas, described voltage sensor 1, temperature sensor 2, current sensor 3 and gas sensor 4 are all connected with signal processor 5 and the signal of detection are passed to signal processor 5, described signal processor 5 is connected with A/D converter 6 and continuously varying analog signal will be converted to time-discrete digital signal in time by A/D converter 6, described A/D converter 6 is connected with dsp controller 7 and digital signal passes to dsp controller 7, described wireless communication module 8 is connected with dsp controller 7, described wireless center sensing network 9 is connected with wireless communication module 8, described wireless center sensing network 9 is also connected with monitoring center 10 and signal passes to monitoring center 10, described monitoring center 10 is provided with the artificial intelligence diagnosis's system 11 for intelligent diagnostics, described artificial intelligence diagnosis's system 11 is connected with monitoring center 10 and diagnostic result passes to monitoring center 10.
In the present embodiment, described signal processor 5 is high-speed type AD9618 integration module.
In the present embodiment, described A/D converter 6 adopts integrated gradually comparison A/D C0804 analog-digital converter.
In the present embodiment, described wireless center sensing network 9 carries out data interaction by Zigbee, GPRS, CDMA or 4G and wireless communication module 8.
In the present embodiment, described artificial intelligence diagnosis's system 11 is made up of knowledge base, data base, explanation facility, inference machine and man-machine interface five part.
The operation principle of the present invention is: voltage sensor 1, temperature sensor 2, current sensor 3 and gas sensor 4 convert the detection signal (electrical or non-electrical) obtained to single electromagnetism (simulation) signal, and pass through cable or be wirelessly transmitted to signal processor 5, signal processor 5 is made up of tailored version integrated circuit operational amplifier, its effect is faint electromagnetic signal to be amplified, this system adopts high-speed type AD9618 integration module, its conversion rate SR reaches as high as 1800V/ μ s, the effect of A/D converter 6 is that continuously varying analog signal in time is converted to time-discrete digital signal, and input computer system, A/D converter 6 adopts integrated gradually comparison A/D C0804 analog-digital converter, it is fast that it has conversion speed, the feature that precision is high.Meanwhile, in order to improve the interference free performance of system, adopt photoelectronic coupler to isolate input, output signal, even adopt fiber-optic transfer to carry out Phototube Coupling；Artificial intelligence diagnosis's system 11, for analyzing, detect, judge the related data that in operation, power equipment measures, to draw corresponding diagnosis, namely realizes the on-line monitoring of automatization highly integrated, high, high-intelligentization.
The above; it it is only presently preferred embodiments of the present invention; not the present invention is imposed any restrictions, every any simple modification, change and equivalent structure transformation above example made according to the technology of the present invention essence, all still fall within the protection domain of technical solution of the present invention.
Claims (5)
1. an intelligent grid equipment on-line monitoring system, it is characterized in that: include sensor group, signal processor (5), A/D converter (6), dsp controller (7), wireless communication module (8), wireless center sensing network (9), monitoring center (10) and artificial intelligence diagnosis's system (11), described sensor group is sensed by the voltage sensor (1) of power equipment voltage, for detecting the temperature sensor (2) of power equipment temperature, for detecting the current sensor (3) of power equipment electric current and for detecting gas sensor (4) composition of power equipment ambient gas, described voltage sensor (1), temperature sensor (2), current sensor (3) and gas sensor (4) are all connected with signal processor (5) and the signal of detection pass to signal processor (5), described signal processor (5) is connected with A/D converter (6) and continuously varying analog signal will be converted to time-discrete digital signal in time by A/D converter (6), described A/D converter (6) is connected with dsp controller (7) and digital signal passes to dsp controller (7), described wireless communication module (8) is connected with dsp controller (7), described wireless center sensing network (9) is connected with wireless communication module (8), described wireless center sensing network (9) is also connected with monitoring center (10) and signal passes to monitoring center (10), described monitoring center (10) is provided with the artificial intelligence diagnosis's system (11) for intelligent diagnostics, described artificial intelligence diagnosis's system (11) is connected with monitoring center (10) and diagnostic result passes to monitoring center (10).
2. a kind of intelligent grid equipment on-line monitoring system described in claim 1, it is characterised in that: described signal processor (5) is high-speed type AD9618 integration module.
3. a kind of intelligent grid equipment on-line monitoring system described in claim 1, it is characterised in that: described A/D converter (6) adopts integrated gradually comparison A/D C0804 analog-digital converter.
4. a kind of intelligent grid equipment on-line monitoring system described in claim 1, it is characterised in that: described wireless center sensing network (9) carries out data interaction by Zigbee, GPRS, CDMA or 4G and wireless communication module (8).
5. a kind of intelligent grid equipment on-line monitoring system described in claim 1, it is characterised in that: described artificial intelligence diagnosis's system (11) is made up of knowledge base, data base, explanation facility, inference machine and man-machine interface five part.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410722718.1A CN105716651A (en) | 2014-12-02 | 2014-12-02 | Intelligent power grid equipment on-line monitoring system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410722718.1A CN105716651A (en) | 2014-12-02 | 2014-12-02 | Intelligent power grid equipment on-line monitoring system |
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| CN105716651A true CN105716651A (en) | 2016-06-29 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124906A (en) * | 2016-08-01 | 2016-11-16 | 舒渝燕 | A kind of distributed power equipment on-line monitoring method |
| CN106291176A (en) * | 2016-08-01 | 2017-01-04 | 舒渝燕 | A kind of distributed power equipment on-line monitoring system |
| CN106707054A (en) * | 2016-11-23 | 2017-05-24 | 河池学院 | Electrical equipment fault diagnosis robot |
| CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
| WO2019144540A1 (en) * | 2018-01-29 | 2019-08-01 | 安徽云塔电子科技有限公司 | Intelligent sensor system architecture and realization method and apparatus therefor |
-
2014
- 2014-12-02 CN CN201410722718.1A patent/CN105716651A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124906A (en) * | 2016-08-01 | 2016-11-16 | 舒渝燕 | A kind of distributed power equipment on-line monitoring method |
| CN106291176A (en) * | 2016-08-01 | 2017-01-04 | 舒渝燕 | A kind of distributed power equipment on-line monitoring system |
| CN106707054A (en) * | 2016-11-23 | 2017-05-24 | 河池学院 | Electrical equipment fault diagnosis robot |
| CN107588801A (en) * | 2017-09-04 | 2018-01-16 | 安徽科盟电子科技有限公司 | A kind of long-range self-diagnosis system of electrical equipment fault |
| WO2019144540A1 (en) * | 2018-01-29 | 2019-08-01 | 安徽云塔电子科技有限公司 | Intelligent sensor system architecture and realization method and apparatus therefor |
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Application publication date: 20160629 |
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