CN206096872U - Power generating equipment intelligence monitoring device - Google Patents
Power generating equipment intelligence monitoring device Download PDFInfo
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- CN206096872U CN206096872U CN201620848439.4U CN201620848439U CN206096872U CN 206096872 U CN206096872 U CN 206096872U CN 201620848439 U CN201620848439 U CN 201620848439U CN 206096872 U CN206096872 U CN 206096872U
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Abstract
The utility model relates to an intelligent monitoring field discloses a power generating equipment intelligence monitoring device, and this monitoring device includes: induction element, curve fitting unit and analysis early warning unit, wherein, induction element is used for gathering power generating equipment's parameter, the curve fitting unit with induction element connects, is used for following induction element acquires parameter data to utilize the neural network algorithm basis non - trouble parameter data among the parameter data sets for the benchmark curve, and the analysis early warning unit with induction element with the curve fitting unit connection is used for acquireing parameter data with the benchmark curve to calculate a plurality of of the same time point respectively parameter data with a plurality of differences between the value on the benchmark curve, according to the early -warning singal is sent in the judgement of a plurality of differences. The utility model discloses warning function accurately can be provided, safe economic serviceability is improved.
Description
Technical field
The utility model is related to intelligent monitoring, in particular it relates to a kind of generating equipment intelligent monitoring and controlling device.
Background technology
Generating equipment monitoring is one of Major Function of thermal power plant operation, and current mode is with sensor acquisition mostly
The information such as the temperature and pressure of equipment, and pass DCS process back, judged whether to report to the police according to the setting for limiting up and down, work as work
Make personnel to find after warning, to be processed according to system, standard and experience.But when equipment is reported to the police, often
Jing there occurs failure, at this moment carry out again processing the problem still suffered from terms of safety and economy.
Utility model content
The purpose of this utility model is to provide a kind of generating equipment intelligent monitoring and controlling device, the generating equipment intelligent monitoring and controlling device
Accurately warning function can be provided, safety and economic operation ability is improved.
The utility model provides a kind of generating equipment intelligent monitoring and controlling device, and the supervising device includes：Sensing unit, curve are intended
Unit and analysis and early warning unit are closed, wherein, the sensing unit is used to gather the parameter of the generating equipment；The curve matching
Unit is connected with the sensing unit, for getting parms data from the sensing unit, and using neural network algorithm according to
Non-faulting supplemental characteristic setting datum curve in the supplemental characteristic；And the analysis and early warning unit and the sensing unit
With curve matching unit connection, for obtaining the supplemental characteristic and the datum curve, and same time is calculated respectively
The multiple differences between value on the multiple described supplemental characteristic and the datum curve of point, judge to send out according to the plurality of difference
Go out early warning signal.
Preferably, the datum curve includes optimum state curve and fault pre-alarming curve, when the datum curve is most
Good condition curve, and the mean of variance of the plurality of difference be more than first predetermined value when, the analysis and early warning unit sends
Optimum state deviates early warning signal；And when the datum curve is fault pre-alarming curve, and the variance of the plurality of difference
When mean value is less than second predetermined value, the analysis and early warning unit sends fault pre-alarming signal.
Preferably, the supervising device also includes：Pretreatment unit, is connected to the sensing unit and the curve matching list
Between unit, for pre-processing to the supplemental characteristic.
Preferably, the supervising device also includes：Memory cell, is connected to the pretreatment unit and the curve matching list
Between unit, for storing the supplemental characteristic in non-faulting supplemental characteristic.
Preferably, the supervising device also includes：Analysis alarm unit, is connected, for obtaining with the pretreatment unit
Supplemental characteristic is stated, and the supplemental characteristic and given threshold are contrasted, sentenced when the supplemental characteristic exceeds the given threshold
The supplemental characteristic that breaks is fault parameter data, and sends alarm signal.
By above-mentioned technical proposal, the generating equipment intelligent monitoring and controlling device provided using the utility model, the supervising device
Including：Sensing unit, curve matching unit and analysis and early warning unit, sensing unit is used to gather the parameter of the generating equipment；
Curve matching unit is used to from sensing unit get parms data, and using neural network algorithm non-in supplemental characteristic therefore
Barrier supplemental characteristic setting datum curve；After datum curve is established, when equipment runs again, analysis and early warning unit just can be with
The data that get parms and datum curve, and respectively between the value in the multiple parameters data and datum curve of calculating same time point
Multiple differences, according to multiple differences judge send early warning signal.The generating equipment intelligent monitoring dress that the utility model is provided
Putting can provide accurately warning function, improve safety and economic operation ability.
Other features and advantages of the utility model will be described in detail in subsequent specific embodiment part.
Description of the drawings
Accompanying drawing is further understood to of the present utility model for providing, and constitutes a part for specification, and following
Specific embodiment be used to explain the utility model together, but do not constitute to restriction of the present utility model.In the accompanying drawings：
Fig. 1 is the structural representation of the generating equipment intelligent monitoring and controlling device that the utility model is provided；
Fig. 2 is the structural representation of the generating equipment intelligent monitoring and controlling device that the embodiment of the utility model one is provided.
Description of reference numerals
The curve matching unit of 1 sensing unit 2
The pretreatment unit of 3 analysis and early warning unit 4
5 memory cell 6 analyzes alarm unit.
Specific embodiment
Specific embodiment of the present utility model is described in detail below in conjunction with accompanying drawing.It should be appreciated that herein
Described specific embodiment is merely to illustrate and explains the utility model, is not limited to the utility model.
Fig. 1 is the structural representation of the generating equipment intelligent monitoring and controlling device that the utility model is provided.As shown in figure 1, this reality
With a kind of generating equipment intelligent monitoring and controlling device of new offer, the supervising device includes：Sensing unit 1, curve matching unit 2 and point
Analysis prewarning unit 3, wherein, the sensing unit 1 is used to gather the parameter of the generating equipment；The curve matching unit 2 with
The sensing unit 1 connects, for getting parms data from the sensing unit 1, and using neural network algorithm according to described
Non-faulting supplemental characteristic setting datum curve in supplemental characteristic；And the analysis and early warning unit 3 and the sensing unit 1 and
The curve matching unit 2 connects, and for obtaining the supplemental characteristic and the datum curve, and calculates same time point respectively
Multiple described supplemental characteristic and the datum curve on value between multiple differences, according to the plurality of difference judge send
Early warning signal.
Sensing unit 1 can include the sensors such as temperature sensor, pressure sensor, humidity sensor and vibrating sensor
Harvester, can be with supplemental characteristics such as collecting temperature, pressure, humidity and vibration frequencies.
Curve matching unit 2 carries out self study using neutral net, with founding mathematical models, imports the parameter number for collecting
According to, mark trouble point and optimum point, final output datum curve, two sets curves can be included, one be normal equipment, economy and
The optimum state curve of the Parameters variation under optimum state, as the data basis and foundation of off-target status early warning；Two are
Indicatrix before fault pre-alarming curve, i.e. device fails, as the data basis and foundation of fault pre-alarming.
Neural network is a kind of imitation animal nerve network behavior feature, carries out the algorithm number of distributed parallel information processing
Learn model.This network relies on the complexity of system, by adjusting the relation being connected with each other between internal great deal of nodes, so as to
The purpose of processing information is reached, and with self study and adaptive ability.Artificial neural network can be similar to people equally to be had
Simple deciding ability and simple judgement), this method is more advantageous compared with traditional logistics reasoning calculation.By
It is that well known to a person skilled in the art technology, here is no longer excessively repeated in neural network algorithm.
Datum curve mentioned above includes optimum state curve and fault pre-alarming curve, when the datum curve is optimal
Condition curve, when the mean of variance of the plurality of difference is more than first predetermined value, the analysis and early warning unit 3 sends most preferably
State deviates early warning signal；And when the datum curve is fault pre-alarming curve, in the mean of variance of the plurality of difference
During less than second predetermined value, the analysis and early warning unit 3 sends fault pre-alarming signal.
Analysis and early warning unit 3 obtains in real time device parameter, and parameter group is input in computation model, former according to correlation
Reason, on the one hand calculates real-time parameter group difference corresponding with the respective point of fault pre-alarming curve, when the variance of each difference put
When mean value is less than second predetermined value, that is, fault pre-alarming signal is exported, and the journey of second predetermined value is less than according to mean of variance
Degree, early warning of classifying；On the other hand, if not up to fault pre-alarming degree, real-time parameter group is calculated with optimum state curve
The corresponding difference of respective point, when the mean of variance of each difference put is more than first predetermined value, that is, exports optimum state inclined
From early warning signal.
Fault pre-alarming signal and optimum state deviate early warning signal can to turn yellow, the mode such as flash of light export display screen,
In mobile phone terminal or panel computer, administrative staff are reminded to note and advanced processing.
Fig. 2 is the structural representation of the generating equipment intelligent monitoring and controlling device that the embodiment of the utility model one is provided.Such as Fig. 2
Shown, in this embodiment, the generating equipment intelligent monitoring and controlling device that the utility model is provided can also include pretreatment unit
4th, memory cell 5 and analysis alarm unit 6, wherein
Pretreatment unit 4 is connected between the sensing unit 1 and the curve matching unit 2, for the parameter
Data are pre-processed.Pretreatment can be that analog signal is converted into into data signal and Uniform data format etc..Here reality
In applying mode, pretreatment unit 4 is by the data is activation after process to analysis and early warning unit 3.
Memory cell 5 is connected between the pretreatment unit 4 and the curve matching unit 2, for storing the ginseng
Non-faulting supplemental characteristic in number data.
Memory cell 5 can be stored in all device parameter data for collecting, and remove the parameter point of warning, only retain
Normal parameter, the holding time from the beginning of putting equipment in service, can also be responsible for the server of historical data schedule backup to backstage,
Guarantee data safety.When with memory cell, curve matching unit can get parms data from memory cell 5.
Analysis alarm unit 6 is connected with the pretreatment unit 4, for obtaining the supplemental characteristic, and by the parameter
Data are contrasted with given threshold, judge the supplemental characteristic for fault parameter when the supplemental characteristic exceeds the given threshold
Data (other are non-faulting supplemental characteristic without departing from the supplemental characteristic of the given threshold), and send alarm signal.The report
Alert signal is different from early warning signal mentioned above, is the warning after modal generation problem, can be reddening, glisten etc. just
Formula is exported in display screen, mobile phone terminal or panel computer, reminds administrative staff to note and advanced processing.
By above-mentioned technical proposal, the generating equipment intelligent monitoring and controlling device provided using the utility model, the supervising device
Including：Sensing unit, curve matching unit and analysis and early warning unit, sensing unit is used to gather the parameter of the generating equipment；
Curve matching unit is used to from sensing unit get parms data, and using neural network algorithm non-in supplemental characteristic therefore
Barrier supplemental characteristic setting datum curve；After datum curve is established, when equipment runs again, analysis and early warning unit just can be with
The data that get parms and datum curve, and respectively between the value in the multiple parameters data and datum curve of calculating same time point
Multiple differences, according to multiple differences judge send early warning signal.The generating equipment intelligent monitoring dress that the utility model is provided
Putting can provide accurately warning function, improve safety and economic operation ability.
Preferred embodiment of the present utility model is described in detail above in association with accompanying drawing, but, the utility model is not limited
Detail in above-mentioned embodiment, in range of the technology design of the present utility model, can be to skill of the present utility model
Art scheme carries out various simple variants, and these simple variants belong to protection domain of the present utility model.
It is further to note that each particular technique feature described in above-mentioned specific embodiment, in not lance
In the case of shield, can be combined by any suitable means, in order to avoid unnecessary repetition, the utility model is to each
Plant possible combination no longer separately to illustrate.
Additionally, can also be combined between a variety of embodiments of the present utility model, as long as it is not disobeyed
Thought of the present utility model is carried on the back, it should equally be considered as content disclosed in the utility model.
Claims (4)
1. a kind of generating equipment intelligent monitoring and controlling device, it is characterised in that the supervising device includes：
Sensing unit (1), curve matching unit (2) and analysis and early warning unit (3), wherein,
The sensing unit (1) is for gathering the parameter of the generating equipment；
The curve matching unit (2) is connected with the sensing unit (1), for getting parms number from the sensing unit (1)
According to, and the non-faulting supplemental characteristic setting datum curve using neural network algorithm in the supplemental characteristic；And
The analysis and early warning unit (3) is connected with the sensing unit (1) and the curve matching unit (2), for obtaining
Supplemental characteristic and the datum curve are stated, and calculates the multiple described supplemental characteristic and the datum curve of same time point respectively
On value between multiple differences, according to the plurality of difference judge send early warning signal.
2. generating equipment intelligent monitoring and controlling device according to claim 1, it is characterised in that the supervising device also includes：
Pretreatment unit (4), is connected between the sensing unit (1) and the curve matching unit (2), for the ginseng
Number data are pre-processed.
3. generating equipment intelligent monitoring and controlling device according to claim 2, it is characterised in that the supervising device also includes：
Memory cell (5), is connected between the pretreatment unit (4) and the curve matching unit (2), described for storing
Non-faulting supplemental characteristic in supplemental characteristic.
4. generating equipment intelligent monitoring and controlling device according to claim 2, it is characterised in that the supervising device also includes：
Analysis alarm unit (6), is connected with the pretreatment unit (4), for obtaining the supplemental characteristic, and by the parameter
Data are contrasted with given threshold, judge the supplemental characteristic for fault parameter when the supplemental characteristic exceeds the given threshold
Data, and send alarm signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620848439.4U CN206096872U (en) | 2016-08-08 | 2016-08-08 | Power generating equipment intelligence monitoring device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620848439.4U CN206096872U (en) | 2016-08-08 | 2016-08-08 | Power generating equipment intelligence monitoring device |
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| Publication Number | Publication Date |
|---|---|
| CN206096872U true CN206096872U (en) | 2017-04-12 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201620848439.4U Active CN206096872U (en) | 2016-08-08 | 2016-08-08 | Power generating equipment intelligence monitoring device |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106227127A (en) * | 2016-08-08 | 2016-12-14 | 中国神华能源股份有限公司 | Generating equipment intelligent monitoring and controlling device and monitoring method |
| CN112855408A (en) * | 2021-01-15 | 2021-05-28 | 湖南五凌电力科技有限公司 | Early warning method and early warning device for hydroelectric generating set |
-
2016
- 2016-08-08 CN CN201620848439.4U patent/CN206096872U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106227127A (en) * | 2016-08-08 | 2016-12-14 | 中国神华能源股份有限公司 | Generating equipment intelligent monitoring and controlling device and monitoring method |
| CN112855408A (en) * | 2021-01-15 | 2021-05-28 | 湖南五凌电力科技有限公司 | Early warning method and early warning device for hydroelectric generating set |
| CN112855408B (en) * | 2021-01-15 | 2022-03-11 | 湖南五凌电力科技有限公司 | Early warning method and early warning device for hydroelectric generating set |
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| Date | Code | Title | Description |
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| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 100011 Shenhua building, 22 West Binhe Road, Dongcheng District, Beijing Patentee after: China Shenhua Energy Co.,Ltd. Patentee after: National Energy Group Guohua Power Co.,Ltd. Patentee after: Guoneng Guohua (Beijing) Electric Power Research Institute Co.,Ltd. Address before: 100011 Shenhua building, 22 West Binhe Road, Dongcheng District, Beijing Patentee before: China Shenhua Energy Co.,Ltd. Patentee before: BEIJING GUOHUA POWER Co.,Ltd. Patentee before: Shenhua Guohua (Beijing) Electric Power Research Institute Co.,Ltd. |
|
| CP01 | Change in the name or title of a patent holder |