LU503684B1 - A monitoring alarm method and system for power plant - Google Patents
A monitoring alarm method and system for power plant Download PDFInfo
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- LU503684B1 LU503684B1 LU503684A LU503684A LU503684B1 LU 503684 B1 LU503684 B1 LU 503684B1 LU 503684 A LU503684 A LU 503684A LU 503684 A LU503684 A LU 503684A LU 503684 B1 LU503684 B1 LU 503684B1
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- monitoring
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 80
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000005070 sampling Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
- F03D17/009—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose
- F03D17/018—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose for monitoring temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
- F03D17/027—Monitoring or testing of wind motors, e.g. diagnostics characterised by the component being monitored or tested
- F03D17/028—Blades
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/187—Machine fault alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
- F03D17/009—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose
- F03D17/015—Monitoring or testing of wind motors, e.g. diagnostics characterised by the purpose for monitoring vibrations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/303—Temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/334—Vibration measurements
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Chemical & Material Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computing Systems (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Wind Motors (AREA)
Abstract
The invention relates to the wind turbine monitoring alarm field and provides a monitoring alarm method and system for power plant, comprising acquisition of the temperature value and amplitude in important points of the wind turbine, data-processing of the collected temperature and amplitude signal, judgment of self-state of the wind turbine according to the operating state threshold, trace of the abnormal points; According to compare the pre-set threshold value with the real-time signal data in the important temperature points and amplitude points of the wind turbine, the monitoring terminal can remind the monitoring personnel in time without alarm to prevent the occurrence of serious fault in wind turbine.
Description
A monitoring alarm method and system for power plant 0503684
The invention relates to the technical field of wind turbine monitoring alarm, in particular to a monitoring alarm method and system for power plant.
Background technology
As the expanding of the commission scale and increasing of the running time of the wind turbine generator system, judgment and prevent of the fault in the wind turbine generator system has been concerned more by the industry. Due to the wind power plant is located in remote place with a poor condition, once the fault is happened, the high cost in maintenance is needed, and the power generation is affected by the stopping of the wind turbine to cause huge loss on economy.
Therefore, the state monitoring system and fault diagnosis system are installed on the wind turbine generator system can help maintenance personnel to find mechanical and electrical faults as early as possible and carry out maintenance in a planned way, so as to improve the utilization rate and prolong the life of the system.
At present, in the existing monitoring alarm methods of wind turbine in power plant, most of which are fixed-time and fixed-position detection, rarely can carry on the comprehensive real-time monitoring to the wind turbine, only when the fault is found, the alarm signal can be sent out, the early warning of the fault can not be made through the regular change of the monitoring data. In the existing system, when the fault occurs, manual mediation is needed to gradually check the location of the fault, which takes a lot of efforts and reduces the utilization rate of wind turbine system.
The object of the invention is to solve the shortcomings in the prior art that the utilization rate of the wind turbine is reduced for cannot be monitored in real time, the fault early warning can not be made through the regular change of monitoring data and the fault location is checked gradually, thereby a monitoring alarm method and system for power plant is provided.
To achieve the aim above, the technical scheme as follows is provided in the invention:
A monitoring alarm method for power plant, the steps are as follows:
S1. Acquisition of the temperature value and amplitude in important points of the wind turbine;
S2. Data-processing of the collected temperature and amplitude signal;
S3. Transmission of the processed specific data to the monitoring terminal;
S4. Judgment of self-state of the wind turbine according to the operating state threshold,
SS. The real-time state information and the judgment result of the wind turbine are stored in the monitoring terminal; LU503684
S6. The position of wind turbine alarm is determined quickly through tracing the abnormal points.
Preferably, the acquisition of the temperature value and amplitude in important points of the wind turbine, specifically comprising:
A temperature sensor and an amplitude sensor are arranged at the important points of the wind turbine; The former is used for collecting real-time temperature value and the latter for real-time amplitude in important points of the wind turbine; The corresponding physical quantity signal is obtained by measuring the change of temperature and amplitude with time through the two sensors.
Preferably, data-processing of the collected temperature and amplitude signal, specifically comprising:
The collected temperature and amplitude physical quantity signals are discretized by sampling to obtain signal data;
The calculation formula of signal discretization data is: 1 N-n
R, (nA7)=—— > x(r)y(n+r)
N-ni3
In the formula: represents the number of sampling points, 7 represents time sequence,
N represents time-delay sequence,
Preferably, the judgment of self-state of the wind turbine according to the operating state threshold, specifically comprising:
An upper and a lower limits of the normal operation of the wind turbine are set in the monitoring terminal firstly, when the temperature signal and the amplitude signal after data processing are transmitted to the monitoring terminal, the state of the wind turbine is judged immediately;
When the temperature signal data and the amplitude signal data are at the threshold for the normal running of the wind turbine, any alarms and measures are not sent by the monitoring terminal, and the wind turbine is in normal running state;
When the temperature signal data and amplitude signal data are on the rise and are getting closer to the threshold of the normal operation of the wind turbine, the monitoring terminal will quickly issue an early warning instruction to remind the staff to overhaul the wind turbine in time so as to prevent serious failure.
When the temperature signal data and the amplitude signal data exceed the threshold for the normal running of the wind turbine, the monitoring terminal issues an alarm instruction, and a stop instruction to the wind turbine quickly.
Preferably, the real-time state information and the judgment result of the wind turbine at&/503684 stored in the monitoring terminal, specifically comprising:
When the temperature sensor and amplitude sensor start to work, the real-time judgment information of the wind turbine is sent to and selected by the monitoring terminal; The data information at normal state is deleted automatically and the data under the state of early warning or alarm are stored in classification, so as to facilitate the query of the wind turbine history later.
Preferably, the position of wind turbine alarm is determined quickly through tracing the abnormal, specifically comprising:
The temperature sensor and the amplitude sensor are all arranged with a GPS positioning device, when the monitoring terminal gives an early warning or alarm, the monitoring terminal quickly tracks the data source and makes the monitoring personnel reach the alarm position quickly through the GPS positioning display of the data source.
A monitoring alarm system for power plant, comprising:
A signal acquisition module: for acquisition of the temperature value and amplitude in important points of the wind turbine;
A data-processing module: for data-processing of the collected temperature and amplitude signal;
A data transmission module: for transmitting the processed specific data to the monitoring terminal:
À state judging module: for judging the self-state of the wind turbine according to the operating state threshold;
An information storage module: for storing the real-time state information and the judgment result of the wind turbine in the monitoring terminal;
À positioning and tracing module: for tracing the abnormal points to quickly determine the wind turbine alarm position.
Preferably, the state judging module further comprises:
An early warning status sub-module: for sending early warning instruction to remind the staff to overhaul the wind turbine in time;
An alarm status sub-module: for sending alarm instruction, and stopping instruction to the wind turbine.
A computer device, comprising a memory and a processor, and the memory stores computer-readable instructions, and the processor performs the computer-readable instructions to implement the steps of the monitoring alarm method for the power plant.
A computer readable storage medium having computer readable instruction stored therein, and when the computer readable storage medium is performed by the processor, the steps of the monitoring alarm method for the power plant are implemented. LUS03684
Compared with the prior art, the beneficial effect of the invention 1s: 1. In the invention, through setting up threshold alarm to the important temperature points and amplitude points and according to compare the pre-set threshold value with the real-time signal data of the important temperature point and amplitude point of the wind turbine, the monitoring terminal can remind the monitoring personnel in time without alarm to prevent the occurrence of serious fault in wind turbine. At the same time, the wind turbine can be stopped quickly under the alarm state to reduce the loss caused by the wind turbine failure to the power plant, so as to improve the utilization rate of the wind turbine. 2. In the invention, the early warning and alarm data are stored in classification, so as to facilitate the query of the wind turbine history later. And the GPS positioning device is installed to quickly trace the data source, and allows the monitoring personnel reach the alarm position quickly through the GPS positioning display of the data source to quickly maintain the motor;
Whereby the shutdown rate of the wind turbine is reduced and the utilization rate of the wind turbine is improved.
Description of attached drawings
Figure 1 is a step flow diagram of a monitoring alarm method for power plant provided in the invention;
Figure 2 is a state judgment diagram of a monitoring alarm method for power plant provided in the invention;
Figure 3 is a structural diagram of a monitoring alarm method for power plant provided in the invention;
Figure 4 is a computer structure diagram of a monitoring alarm method for power plant provided in the invention.
Specific embodiments
In combination with the attached drawings of the examples in the invention, the technical scheme of the examples in the invention is described clearly and completely. It is obvious that the described examples are only part in the invention, not all.
Referring to figure 1-3, a monitoring alarm method for power plant, the steps are as follows:
S1. The acquisition of the temperature value and amplitude in important points of the wind turbine, specifically comprising:
A temperature sensor and an amplitude sensor are arranged at the important points of the wind turbine; The former is used for collecting real-time temperature value and the latter for real-time amplitude in important points of the wind turbine; The corresponding physical quantity signal is obtained by measuring the change of temperature and amplitude with time through thé/503684 two Sensors.
S2. Data-processing of the collected temperature and amplitude signal, specifically comprising: 5 The collected temperature and amplitude physical quantity signals are discretized by sampling to obtain signal data;
The calculation formula of signal discretization data is: 1 N-n
R, (AT) = Von 2 x(r)y(n+r)
In the formula: represents the number of sampling points, 7 represents time sequence, represents time-delay sequence,
Wherein, amplitude domain of the conventional data signal is dimensional parameter, the value of the dimensional-amplitude diagnostic parameter often changes due to load, speed and other conditions, which are difficult to be distinguished in actual; The amplitude parameter with dimension one is introduced, which is insensitive to the change of amplitude and frequency of the signal, that is, it has little to do with the working conditions of the machine, but is sensitive enough to failure.
The common used amplitude parameter with dimension one has: — N $= (X= 55)
Form factor: x] Nos cs
Crest factor: rms — X max
AM
Impulse factor:
N 2
Clearance factor: r i=l
N
LS a3
Kurtosis factor: rms i=l
In the formula: X represents the mean of data, X max represents the maximum of data,
Kom represents the root mean square of data;
Kurtosis factor, clearance factor and impulse factor are sensitive to impulse faults, especially when the fault occurs in the early stage, the three factors increase obviously. More sensitive to the early fault, a better fault signal acquisition effect can be obtained.
S3. Transmission of the processed specific data to the monitoring terminal; LU503684
Wherein, the data transmission adopts the task allocation algorithm based on cloud model, which distributes the network data flow evenly to the whole network, and the dynamic flow balance of the whole network is realized.
Wherein, the task assignment algorithm based on cloud model is as follows:
Suppose U is a domain of discourse = fr } T'is a linguistic value associated with U
The element “in Vis a random number with a stable tendency to the membership degree
I(x) of the stereotyped concept expressed by / . The distribution of the membership degree in the domain is called the cloud model.
Taking a value from [0:1], r (x) cloud model is a mapping from domain of discourse to interval [oa], that is I(x) U> [0-1].
The cloud model can be fully represented by three values: expected value Lx entropy Ln and excess entropy He ;
If a data from a node computer is used by an index, a cloud droplet (x, Ji ) is generated and recorded. The horizontal axis™ of the cloud droplet represents the index, and the vertical axis” represents the used node computer. In this way, a cloud droplet is represented as a quantitative information that can be measured. When all the indexes are represented, all cloud droplets are counted, and the following optimal data transmission mode can be determined:
S301. The determination of the analysis index and the corresponding weight;
S302. The analysis index is selected according to the weight from large to small, and for a certain analysis index, the list of node computers containing the data to be analyzed is determined.
S303. For each node computer obtained above, the data amount of the Excel file involved in the analysis index, the IP address, CPU, memory and other specific information of the node computer are transmitted to the microcomputer server A;
S304. The information transmitted from each node computer is analyzed by microcomputer server A, and then the expected value /*, entropy index 7, excess entropy index He are set, according to the one-dimensional forward cloud algorithm, the cloud generator is used to generate cloud droplets, and then the cloud image is generated; According to the situation of the cloud image, the data columns in the relevant Excel files in all node computers are re-transmitted and distributed to a node computer;
S4. The judgment of the self-state of the wind turbine according to the operating state threshold, specifically comprising: LU503684
An upper and a lower limits of the normal operation of the wind turbine are set in the monitoring terminal firstly, when the temperature signal and the amplitude signal after data processing are transmitted to the monitoring terminal, the state of the wind turbine is judged immediately;
When the temperature signal data and the amplitude signal data are at the threshold for the normal running of the wind turbine, any alarms and measures are not sent and taken by the monitoring terminal, and the wind turbine is at normal running state;
When the temperature signal data and amplitude signal data are on the rise and are getting closer to the threshold for the normal running of the wind turbine, the monitoring terminal will quickly issue an early warning instruction to remind the staff to overhaul the wind turbine in time so as to prevent serious failure.
When the temperature signal data and the amplitude signal data exceed the threshold for the normal running of the wind turbine, the monitoring terminal issues an alarm instruction, and a stop instruction to the wind turbine quickly.
SS. The real-time state information and the judgment result of the wind turbine are stored in the monitoring terminal, specifically comprising:
When the temperature sensor and amplitude sensor start to work, the real-time judgment information of the wind turbine is sent to and selected by the monitoring terminal; The data information at normal state is deleted automatically and the data under the state of early warning or alarm are stored in classification, so as to facilitate the query of the wind turbine history later.
S6. The position of wind turbine alarm is determined quickly through tracing the abnormal points, specifically comprising:
The temperature sensor and the amplitude sensor are all arranged with a GPS positioning device, when the monitoring terminal gives an early warning or alarm, the monitoring terminal quickly tracks the data source and makes the monitoring personnel reach the alarm position quickly through the GPS positioning display of the data source.
A monitoring alarm system for power plant, comprising:
A signal acquisition module: for acquisition of the temperature value and amplitude in important points of the wind turbine;
A data-processing module: for data-processing of the collected temperature and amplitude signal;
A data transmission module: for transmitting the processed specific data to the monitoring terminal;
A state judging module: for judging the self-state of the wind turbine according to the operating state threshold; LUS03684
An information storage module: for storing the real-time state information and the judgment result of the wind turbine in the monitoring terminal;
À positioning and tracing module: for tracing the abnormal points to quickly determine the wind turbine alarm position.
Wherein, the state judgment module further comprises:
An early warning status sub-module: for sending early warning instruction to remind the staff to overhaul the wind turbine in time:
An alarm status sub-module: for sending alarm instruction, and stopping instruction to the wind turbine.
A computer device comprising a memory and a processor, and the memory having computer readable instruction stored therein, when the computer readable instruction is performed by the processor, the steps of the monitoring alarm method for the power plant are implemented.
A computer readable storage medium having computer readable instruction stored therein, when the computer readable instruction is performed by the processor, the steps of monitoring and alarm method for the power plant are implemented;
What is said above is only the better specific embodiments, but the protection scope of the invention is not limited to this. Within the scope of technology disclosed by the invention, equivalent substitution or alteration according to the technical scheme of the invention and inventive concept thereof shall be covered by the protection scope of the invention.
Claims (10)
1. A monitoring alarm method and system for power plant, characterized by the following steps: Acquisition of the temperature value and amplitude in important points of the wind turbine; Data-processing of the collected temperature and amplitude signal; Transmission of the processed specific data to the monitoring terminal; Judgment of self-state of the wind turbine according to the operating state threshold; Real-time state information and the judgment result of the wind turbine are stored in the monitoring terminal; The position of wind turbine alarm is determined quickly through tracing the abnormal points.
2. A monitoring alarm method and system for power plant of claim 1, characterized by, the acquisition of the temperature value and amplitude in important points of the wind turbine, specifically comprising: A temperature sensor and an amplitude sensor are arranged at the important points of the wind turbine; The former is used for collecting real-time temperature value and the latter for real-time amplitude in important points of the wind turbine; The corresponding physical quantity signal is obtained by measuring the change of temperature and amplitude with time through the two sensors.
3. A monitoring alarm method and system for power plant of claim 1, characterized by, the data-processing of the collected temperature and amplitude signal, specifically comprising: The collected temperature and amplitude physical quantity signals are discretized by sampling to obtain signal data; The calculation formula of signal discretization data is: 1 N-n R,(nAT)= von 2 x(r)y(n+r) In the formula: N represents the number of sampling points, 7 represents time sequence, N represents time-delay sequence.
4. A monitoring alarm method and system for power plant of claim 1, characterized by, the judgment of self-state of the wind turbine according to the operating state threshold 02054 specifically comprising: An upper and a lower limits of the normal operation of the wind turbine are set in the monitoring terminal firstly, when the temperature signal and the amplitude signal after data processing are transmitted to the monitoring terminal, the state of the wind turbine is judged immediately; When the temperature signal data and the amplitude signal data are at the threshold for the normal running of the wind turbine, any alarms and measures are not sent and taken by the monitoring terminal, and the wind turbine is in normal running state; When the temperature signal data and amplitude signal data are on the rise and are getting closer to the threshold of the normal running of the wind turbine, the monitoring terminal will quickly issue an early warning instruction to remind the staff to overhaul the wind turbine in time so as to prevent serious failure; When the temperature signal data and the amplitude signal data exceed the threshold for the normal running of the wind turbine, the monitoring terminal issues an alarm instruction, and a stop instruction to the wind turbine quickly.
5. A monitoring alarm method and system for power plant of claim 1, characterized by, the real-time state information and the judgment result of the wind turbine are stored in the monitoring terminal, specifically comprising: When the temperature sensor and amplitude sensor start to work, the real-time judgment information of the wind turbine is sent to and selected by the monitoring terminal; The data information at normal state is deleted automatically and the data under the state of early warning or alarm are stored in classification, so as to facilitate the query of the wind turbine history later.
6. A monitoring alarm method and system for power plant of claim 1, characterized by, the position of wind turbine alarm is determined quickly through tracing the abnormal points, specifically comprising: The temperature sensor and the amplitude sensor are all arranged with a GPS positioning device, when the monitoring terminal gives an early warning or alarm, the monitoring terminal quickly tracks the data source and makes the monitoring personnel reach the alarm position quickly through the GPS positioning display of the data source.
7. A monitoring alarm method and system for power plant, characterized by, comprising: 909684 A signal acquisition module: for acquisition of the temperature value and amplitude in important points of the wind turbine; A data-processing module: for data-processing of the collected temperature and amplitude signal; A data transmission module: for transmitting the processed specific data to the monitoring terminal; A state judging module: for judging the self-state of the wind turbine according to the operating state threshold; An information storage module: for storing the real-time state information and the judgment result of the wind turbine in the monitoring terminal, A positioning and tracing module: for tracing the abnormal points to quickly determine the wind turbine alarm position.
8. A monitoring alarm method and system for power plant of claim 7, characterized by, the state judging module further comprises: An early warning status sub-module: for sending early warning instruction to remind the staff to overhaul the wind turbine in time; An alarm status sub-module: for sending alarm instruction, and stopping instruction to the wind turbine.
9. A computer device, characterized by, comprising a memory and a processor, The memory has computer-readable instruction stored therein, and when the processor performs the computer-readable instruction, the steps of the monitoring alarm method for the power plant described in any of claims 1 to 6 are implemented.
10. A computer readable storage medium having computer readable instruction stored therein, and when the computer readable instruction is performed by the processor, the steps of the monitoring alarm method for the power plant described in any of claims 1 to 6 are implemented.
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|---|---|---|---|
| CN202210560646.XA CN115450851A (en) | 2022-05-20 | 2022-05-20 | Monitoring and alarming method and system for power plant |
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| LU503684B1 true LU503684B1 (en) | 2023-09-25 |
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| CN116707326B (en) * | 2023-08-07 | 2023-10-27 | 湘潭宏光变流电气有限公司 | High-power silicon controlled rectifier cabinet and control system |
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