CN106647567A - Hydraulic turbine automatic governor control system based on computer control - Google Patents

Hydraulic turbine automatic governor control system based on computer control Download PDF

Info

Publication number
CN106647567A
CN106647567A CN201611130571.2A CN201611130571A CN106647567A CN 106647567 A CN106647567 A CN 106647567A CN 201611130571 A CN201611130571 A CN 201611130571A CN 106647567 A CN106647567 A CN 106647567A
Authority
CN
China
Prior art keywords
node
module
energy
elec
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201611130571.2A
Other languages
Chinese (zh)
Inventor
史广泰
王志文
罗琨
刘洋
叶道星
张惟斌
华红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xihua University
Original Assignee
Xihua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xihua University filed Critical Xihua University
Priority to CN201611130571.2A priority Critical patent/CN106647567A/en
Publication of CN106647567A publication Critical patent/CN106647567A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/048Monitoring; Safety
    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention discloses a hydraulic turbine automatic governor control system based on computer control. The system comprises a computer which is connected with a single chip microcomputer controller through a data line. The computer is connected with a wireless radio frequency transceiver module through a GPRS network. The input end of the single chip microcomputer controller is electrically connected with the output ends of a power transmitter module, an external grid frequency monitoring module, a filtering module and a power supply. The output end of the single chip microcomputer controller is electrically connected with the input ends of a signal grounding module, a signal amplification module, a position monitoring module and a liquid level monitoring module. The single chip microcomputer controller is electrically connected with a database module and a dynamic simulation module. The output end of the signal amplification module is electrically connected with the input end of an electro-hydraulic servo valve. The system provided by the invention has the advantages that a computer can carry out remote control on a hydraulic turbine automatic governor; the operation of a hydraulic turbine can be monitored in real time; and the intelligence degree is high.

Description

A kind of hydraulic turbine automatic governor control system based on computer controls
Technical field
The invention belongs to governor control system technical field, more particularly to a kind of hydraulic turbine based on computer controls is certainly Dynamic governor control system.
Background technology
At present, non-renewable and under easily causing the background of environmental pollution using process in fossil energy, countries in the world are all Renewable Energy Development as the important measures revitalized the economy, China be also thus, water power be exactly various countries' preferential development can The renewable sources of energy.And China's hydroelectric resources reserves occupy the first in the world, great rivers are mainly enriched in, are needed with large-scale water wheels Unit could be developed effectively.The most important link of water turbine set generating is exactly automatic speed governor part, because of turbine-generator units The electricity of output will be continually changing work constantly adjustment with power consumption so as to which, equal to extraneous power consumption, this just requires water turbine set Automatic speed governor can accomplish to be accurately controlled.
The control system intelligence degree of water turbine set automatic speed governor now is not high, and can only adjust, and event is occurring During barrier cannot the localization of faults in time, the electronic equipment in control system is highly prone to electromagnetic interference, for the essence of water turbine set Really operating is a big hidden danger.
The content of the invention
The present invention provides a kind of computer long-distance control to solve technical problem present in known technology, intelligent Degree is high, effectively excludes electromagnetic interference, reaches a kind of hydraulic turbine automatic governor based on computer controls of precise control Control system.
The present invention is achieved in that a kind of hydraulic turbine automatic governor control system based on computer controls, including Computer, the computer is connected by data wire with singlechip controller;The computer passes through GPRS network and wirelessly penetrates Frequency transceiver module connects;The input of the singlechip controller respectively with power transducer module, external electrical network frequency monitoring The output end of module, filtration module and power module is electrically connected with;The output end of the singlechip controller connects respectively with signal The input of ground module, signal amplification module, position monitoring module and level monitoring module is electrically connected with;The Single-chip Controlling Device is electrically connected with respectively with radio frequency transceiving module, data memory module, DBM and dynamic analog module;The letter The output end of number amplification module is electrically connected with the input of electrohydraulic servo valve;The output end of the position monitoring module respectively with The input of first position sensor, second place sensor and the 3rd position sensor is electrically connected with;The level monitoring mould The output end of block electrically connects respectively with the input of the first liquid level sensor, the second liquid level sensor and the 3rd liquid level sensor Connect;
The first position sensor is arranged on the main control valve of hydraulic turbine automatic governor;
The second place sensor is arranged on the servomotor of hydraulic turbine automatic governor;
3rd position sensor is arranged on the water distributor of the hydraulic turbine;
First liquid level sensor is arranged in the oil gear of hydraulic turbine automatic governor;
Second liquid level sensor is arranged in the oil return box of hydraulic turbine automatic governor;
3rd liquid level sensor is arranged in the pressurized tank of hydraulic turbine automatic governor.
Further, the singlechip controller is provided with Nonlinear Transformation of Signals module, the Nonlinear Transformation of Signals mould Block docking collection of letters s (t) carries out nonlinear transformation, carries out as follows:
WhereinA represents the amplitude of signal, and a (m) represents letter Number symbol, p (t) represent shaping function, fcThe carrier frequency of signal is represented,The phase place of signal is represented, by this Obtain after nonlinear transformation:
Further, the signal amplification module is provided with
The first step, by the radio frequency in Reived_V1 or Reived_V2 or if sampling signal N is carried outFFTThe FFT fortune of points Calculate, then modulus computing, by front N thereinFFT/ 2 points are stored in VectorF, and the amplitude of signal x2 is saved in VectorF Spectrum;
Second step, is the equal Block, N=3,4 of N blocks by analysis bandwidth Bs point ... .., each Block will be carried out The a width of Bs/N of band of computing, if the low-limit frequency that analyze bandwidth Bs is FL, here FL=0, then block nBlock, n=1...N, Corresponding frequency separation scope is respectively [FL+ (n-1) Bs/N, FL+ (n) Bs/N], by the frequency of corresponding frequency range in VectorF Rate point distributes to each block, and the VectorF point ranges that wherein nBlock divides are [Sn, Sn+kn], whereinThe number of per section of Frequency point got is represented, and What is represented is starting point, and fs is signal sampling frequencies, and round (*) represents the computing that rounds up;
3rd step, seeks each Block the energy Σ of its frequency spectrum | |2, obtain E (n), n=1...N;
4th step, averages to vectorial E
5th step, try to achieve vectorial E variance and
6th step, updates flag bit flag, flag=0, represents that a front testing result is no signal, it is this kind of under the conditions of, Only work as σsumIt is judged to currently detected signal during > K2, flag is changed into 1;Work as flag=1, represent that a front testing result is Have a signal, it is this kind of under the conditions of, only work as σsumIt is judged to currently be not detected by signal during < K1, flag is changed into 0, K1 and K2 for door Limit value, empirical value is given with theoretical simulation, K2 > K1;
7th step, controls whether subsequent demodulation thread etc. is opened according to flag bit:Flag=1, opens subsequent demodulation thread Deng, otherwise close subsequent demodulation thread.
Further, the computer installation have sleep scheduling and cover compensation cover keep module, the sleep scheduling and Covering compensation covering keeps the sleep scheduling of module and the covering keeping method for covering compensation to include:
Step one, determines neighbor node number:Node broadcasts HELLO message is received not to surroundings nodes, nodes records With HELLO message number so as to obtaining neighbor node number N of itself;
Step 2, estimates node redundancy degree:The desired value for obtaining node redundancy degree using neighbor node number N is:
As E (ηNAbsolute redundant node is considered during) >=α, as 1- α < E (ηN) < α when be relative Redundant node, 0≤E (ηNIt is non-redundant node during)≤1- α, wherein, α is threshold value set in advance;
Step 3, estimates dump energy of the node after information switching phase:Transmitter often passes 1bit consumption of information Energy:Eelec-te, receiver often receives 1bit consumption of information energy:
Eelec-re, and have Eelec-te=Eelec-re;Often transmit 1bit information needs to consume by unit distance transmitting terminal amplifier Energy:Eamp, the energy that transmitting terminal transmission kbits information to the receiving terminal apart from d need to be consumed is Eelec-te*k+Eamp*k*d2, Receiving terminal receives kbits consumption of information energy:Eelec-re *k;Node with m neighbor node is needed in information exchanging process The energy of middle consumption is:
(Eelec-te*k+Eamp*k*d2)*m+(Eelec-re*k)*m;
The dump energy with m neighbor node is after information exchanging process:
Eest1=E1- (Eelec-te*k+Eamp*k*d2)*m-(Eelec-re* k) * m, wherein, E1 is the node before information exchange Real-time power;
Step 4, finds potential death nodes:If node energy meets:It is then potential dead section Point, wherein,For the average energy consumed in a time period;
Step 5, nodal information is exchanged:Whether each node will include the redundancy information of itself and is potential death The information of node is broadcast to all of neighbor node;
Step 6, non-potential death nodes estimate the position that whether can move to potential death nodes;
Estimated information exchanges the energy for consuming:To enter row information exchange before all removable node motions, this process is consumed Energy is:
(Eelec-te*k+Eamp*k*d2)*L+(Eelec-re* k) * L, L is the number of the node exchanged into row information, and k is information Bit, d for information transmission distance;
If node motion, node dump energy after movement is estimated:
Eest2=E2- (Eelec-te*k+Eamp*k*d2)*L-(Eelec-re*k)*L-Emove* h, wherein, h is to move to target The distance of position, E2 is the real-time power of the node before movement;
Whether decision node has mobile energy:It is required that mobile node at least works x time period after new position on earth, If node energy meets:Then this node has the energy for moving to target location, otherwise, does not have This ability, wherein, x is threshold value set in advance;
Step 7, determines mobile node:
Optimal node is selected in all moveable nodes according to following rule:
If there is absolute redundant node in removable node, judged according to target range, mobile target range minimum Absolute redundant node;If the target range that there are multiple absolute redundant nodes is equal and is minimum, further according to dump energy Eest2Size judge, the node for selecting dump energy maximum;
If there was only relative redundancy node in removable node, selected according to the displacement of relative redundancy node Select, the distance of relative redundancy node motion is the maximum movable distance of relative redundancy node, maximum movable distance is referred to The moveable ultimate range of node under conditions of overlay area is not affected, relative redundancy node is determined according to maximum movable distance Mobile target location;The maximum movable distance of comparison relative redundancy node, moves the relative of maximum movable distance minimum Redundant node, if the maximum movable distance that there are multiple relative redundancy nodes is equal and is minimum, further according to residual energy Amount Eest2Size judge, the node for selecting dump energy maximum,
Step 8, to remaining absolute redundant node sleep scheduling mechanism is adopted:After node motion to target location, will be exhausted It is sleep to redundant node state change.
The hydraulic turbine automatic governor control system based on computer controls that the present invention is provided, it is right to be realized by computer The remotely control of hydraulic turbine automatic governor, simple operation, computer need to only pass through data wire or GPRS network just can be with monolithic Machine controller sets up connection, and singlechip controller can in real time receive the monitoring signals from each monitoring device, contrasting data storehouse Module judges the working order of hydraulic turbine automatic governor, and feeds back to computer, and external electrical network frequency monitoring module can be obtained The real-time dynamic of external electrical network power consumption, and singlechip controller is fed back to, filtration module can be conveyed to electric current in control system During the electromagnetic wave that produces filtered, signal ground module can be derived to filtering from outside electromagnetic wave, serve electricity The effect of magnetic screen, for hydraulic turbine automatic governor accurate operating conditions are provided.
Description of the drawings
Fig. 1 is that the hydraulic turbine automatic governor Control system architecture based on computer controls provided in an embodiment of the present invention shows It is intended to.
In figure:1st, computer;2nd, data wire;3rd, singlechip controller;4th, GPRS network;5th, radio frequency transceiving module; 6th, power transducer module;7th, external electrical network frequency monitoring module;8th, filtration module;9th, power module;10th, signal ground mould Block;11st, signal amplification module;12nd, position monitoring module;13rd, level monitoring module;14th, data memory module;15th, database Module;16th, dynamic analog module;17th, electrohydraulic servo valve;18th, first position sensor;19th, second place sensor;20th, Three position sensors;21st, the first liquid level sensor;22nd, the second liquid level sensor;23rd, the 3rd liquid level sensor.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that specific embodiment described herein is not used to only to explain the present invention Limit the present invention.
The structure of the present invention is explained in detail with reference to Fig. 1.
Hydraulic turbine automatic governor control system based on computer controls provided in an embodiment of the present invention includes computer 1, the computer 1 is connected by data wire 2 with singlechip controller 3;The computer 1 passes through GPRS network 4 and wirelessly penetrates Frequency transceiver module 5 connects;The input of the singlechip controller 3 is supervised respectively with power transducer module 6, external electrical network frequency The output end for surveying module 7, filtration module 8 and power module 9 is electrically connected with;The output end of the singlechip controller 3 respectively with The input of signal ground module 10, signal amplification module 11, position monitoring module 12 and level monitoring module 13 is electrically connected with; The singlechip controller 3 respectively with radio frequency transceiving module 5, data memory module 14, DBM 15 and dynamic analog Intend module 16 to be electrically connected with;The output end of the signal amplification module 11 is electrically connected with the input of electrohydraulic servo valve 17;Institute Rheme put the output end of monitoring modular 12 respectively with first position sensor 18, the position sensing of second place sensor 19 and the 3rd The input of device 20 is electrically connected with;The output end of the level monitoring module 13 respectively with the first liquid level sensor 21, the second liquid The input of the liquid level sensor 23 of level sensor 22 and the 3rd is electrically connected with.
Further, the first position sensor 18 is arranged on the main control valve of hydraulic turbine automatic governor.
Further, the second place sensor 19 is arranged on the servomotor of hydraulic turbine automatic governor.
Further, the 3rd position sensor 20 is arranged on the water distributor of the hydraulic turbine.
Further, first liquid level sensor 21 is arranged in the oil gear of hydraulic turbine automatic governor.
Further, second liquid level sensor 22 is arranged in the oil return box of hydraulic turbine automatic governor.
Further, the 3rd liquid level sensor 23 is arranged in the pressurized tank of hydraulic turbine automatic governor.
Further, the singlechip controller is provided with Nonlinear Transformation of Signals module, the Nonlinear Transformation of Signals mould Block docking collection of letters s (t) carries out nonlinear transformation, carries out as follows:
WhereinA represents the amplitude of signal, and a (m) represents letter Number symbol, p (t) represent shaping function, fcThe carrier frequency of signal is represented,The phase place of signal is represented, by this Obtain after nonlinear transformation:
Further, the signal amplification module is provided with
The first step, by the radio frequency in Reived_V1 or Reived_V2 or if sampling signal N is carried outFFTThe FFT fortune of points Calculate, then modulus computing, by front N thereinFFT/ 2 points are stored in VectorF, and the amplitude of signal x2 is saved in VectorF Spectrum;
Second step, is the equal Block, N=3,4 of N blocks by analysis bandwidth Bs point ... .., each Block will be carried out The a width of Bs/N of band of computing, if the low-limit frequency that analyze bandwidth Bs is FL, here FL=0, then block nBlock, n=1...N, Corresponding frequency separation scope is respectively [FL+ (n-1) Bs/N, FL+ (n) Bs/N], by the frequency of corresponding frequency range in VectorF Rate point distributes to each block, and the VectorF point ranges that wherein nBlock divides are [Sn, Sn+kn], whereinThe number of per section of Frequency point got is represented, and What is represented is starting point, and fs is signal sampling frequencies, and round (*) represents the computing that rounds up;
3rd step, seeks each Block the energy ∑ of its frequency spectrum | |2, obtain E (n), n=1...N;
4th step, averages to vectorial E
5th step, try to achieve vectorial E variance and
6th step, updates flag bit flag, flag=0, represents that a front testing result is no signal, it is this kind of under the conditions of, Only work as σsum>It is judged to currently detected signal during K2, flag is changed into 1;Work as flag=1, represent a front testing result to have Signal, it is this kind of under the conditions of, only work as σsum<It is judged to currently be not detected by signal during K1, flag is changed into 0, K1 and K2 for thresholding Value, empirical value is given with theoretical simulation, K2>K1;
7th step, controls whether subsequent demodulation thread etc. is opened according to flag bit:Flag=1, opens subsequent demodulation thread Deng, otherwise close subsequent demodulation thread.
Further, the computer installation have sleep scheduling and cover compensation cover keep module, the sleep scheduling and Covering compensation covering keeps the sleep scheduling of module and the covering keeping method for covering compensation to include:
Step one, determines neighbor node number:Node broadcasts HELLO message is received not to surroundings nodes, nodes records With HELLO message number so as to obtaining neighbor node number N of itself;
Step 2, estimates node redundancy degree:The desired value for obtaining node redundancy degree using neighbor node number N is:
As E (ηNAbsolute redundant node is considered during) >=α, as 1- α < E (ηN) < α when be relative Redundant node, 0≤E (ηNIt is non-redundant node during)≤1- α, wherein, α is threshold value set in advance;
Step 3, estimates dump energy of the node after information switching phase:Transmitter often passes 1bit consumption of information Energy:Eelec-te, receiver often receives 1bit consumption of information energy:Eelec-re, and have Eelec-te=Eelec-re;Often transmit 1bit The energy that information need to be consumed by unit distance transmitting terminal amplifier:Eamp, transmitting terminal transmission kbits information is to the reception apart from d The energy that end need to consume is Eelec-te*k+Eamp*k*d2, receiving terminal receive k bits consumption of information energy be:Eelec-re*k;Have The node of m neighbor node needs the energy consumed in information exchanging process to be:
(Eelec-te*k+Eamp*k*d2)*m+(Eelec-re*k)*m;
The dump energy with m neighbor node is after information exchanging process:
Eest1=E1- (Eelec-te*k+Eamp*k*d2)*m-(Eelec-re* k) * m, wherein, E1 is the node before information exchange Real-time power;
Step 4, finds potential death nodes:If node energy meets:It is then potential dead section Point, wherein,For the average energy consumed in a time period;
Step 5, nodal information is exchanged:Whether each node will include the redundancy information of itself and is potential death The information of node is broadcast to all of neighbor node;
Step 6, non-potential death nodes estimate the position that whether can move to potential death nodes;
Estimated information exchanges the energy for consuming:To enter row information exchange before all removable node motions, this process is consumed Energy is:
(Eelec-te*k+Eamp*k*d2)*L+(Eelec-re* k) * L, L is the number of the node exchanged into row information, and k is information Bit, d for information transmission distance;
If node motion, node dump energy after movement is estimated:
Eest2=E2- (Eelec-te*k+Eamp*k*d2)*L-(Eelec-re*k)*L-Emove* h, wherein, h is to move to target position The distance put, E2 is the real-time power of the node before movement;
Whether decision node has mobile energy:It is required that mobile node at least works x time period after new position on earth, If node energy meets:Then this node has the energy for moving to target location, otherwise, does not have This ability, wherein, x is threshold value set in advance;
Step 7, determines mobile node:
Optimal node is selected in all moveable nodes according to following rule:
If there is absolute redundant node in removable node, judged according to target range, mobile target range minimum Absolute redundant node;If the target range that there are multiple absolute redundant nodes is equal and is minimum, further according to dump energy Eest2Size judge, the node for selecting dump energy maximum;
If there was only relative redundancy node in removable node, selected according to the displacement of relative redundancy node Select, the distance of relative redundancy node motion is the maximum movable distance of relative redundancy node, maximum movable distance is referred to The moveable ultimate range of node under conditions of overlay area is not affected, relative redundancy node is determined according to maximum movable distance Mobile target location;The maximum movable distance of comparison relative redundancy node, moves the relative of maximum movable distance minimum Redundant node, if the maximum movable distance that there are multiple relative redundancy nodes is equal and is minimum, further according to residual energy Amount Eest2Size judge, the node for selecting dump energy maximum,
Step 8, to remaining absolute redundant node sleep scheduling mechanism is adopted:After node motion to target location, will be exhausted It is sleep to redundant node state change.
Operation principle:The hydraulic turbine automatic governor control system of computer controls should be based on, computer passes through data wire Or the direct control single chip computer controller of GPRS network, singlechip controller can real-time reception respectively from each monitoring device monitoring Data, and computer is fed back to, the working order that dynamic analog module can be according to each Monitoring Data to hydraulic turbine automatic governor Dynamic analog is carried out, and feeds back to computer, filtration module and signal ground module can carry out electromagnetic wave to whole control system Filter and derive, there is provided good control environment, external electrical network frequency monitoring module can monitor the change of external electrical network power consumption Change, and feed back to singlechip controller, singlechip controller is assigned to signal amplification module with reference to DBM and referred to accordingly Order, by electrohydraulic servo valve the operating of hydraulic turbine automatic governor can be in time adjusted, and whole system intelligence degree is higher, only Need to just can be to the direct control of hydraulic turbine automatic governor and real-time monitoring by computer.
Presently preferred embodiments of the present invention is the foregoing is only, not to limit the present invention, all essences in the present invention Any modification, equivalent and improvement made within god and principle etc., should be included within the scope of the present invention.

Claims (4)

1. a kind of hydraulic turbine automatic governor control system based on computer controls, including computer, it is characterised in that:It is described Computer is connected by data wire with singlechip controller;The computer is connected by GPRS network with radio frequency transceiving module Connect;The input of the singlechip controller respectively with power transducer module, external electrical network frequency monitoring module, filtration module It is electrically connected with the output end of power module;The output end of the singlechip controller is put respectively with signal ground module, signal The input of big module, position monitoring module and level monitoring module is electrically connected with;The singlechip controller respectively with wirelessly RF receiving and transmission module, data memory module, DBM and dynamic analog module are electrically connected with;The signal amplification module Output end is electrically connected with the input of electrohydraulic servo valve;The output end of the position monitoring module is sensed respectively with first position The input of device, second place sensor and the 3rd position sensor is electrically connected with;The output end of the level monitoring module point It is not electrically connected with the input of the first liquid level sensor, the second liquid level sensor and the 3rd liquid level sensor;
The first position sensor is arranged on the main control valve of hydraulic turbine automatic governor;
The second place sensor is arranged on the servomotor of hydraulic turbine automatic governor;
3rd position sensor is arranged on the water distributor of the hydraulic turbine;
First liquid level sensor is arranged in the oil gear of hydraulic turbine automatic governor;
Second liquid level sensor is arranged in the oil return box of hydraulic turbine automatic governor;
3rd liquid level sensor is arranged in the pressurized tank of hydraulic turbine automatic governor.
2. the hydraulic turbine automatic governor control system of computer controls is based on as claimed in claim 1, it is characterised in that institute State singlechip controller and be provided with Nonlinear Transformation of Signals module, Nonlinear Transformation of Signals module docking collection of letters s (t) is entered Row nonlinear transformation, is carried out as follows:
f &lsqb; s ( t ) &rsqb; = s ( t ) * ln | s ( t ) | | s ( t ) | = s ( t ) c ( t )
WhereinA represents the amplitude of signal, and a (m) represents signal Symbol, p (t) represents shaping function, fcThe carrier frequency of signal is represented,The phase place of signal is represented, by the non-thread Property conversion after obtain:
f &lsqb; s ( t ) &rsqb; = s ( t ) l n | A a ( m ) | | A a ( m ) | .
3. the hydraulic turbine automatic governor control system of computer controls is based on as claimed in claim 1, it is characterised in that institute State signal amplification module to be provided with
The first step, by the radio frequency in Reived_V1 or Reived_V2 or if sampling signal N is carried outFFTThe FFT computings of points, Then modulus computing, by front N thereinFFT/ 2 points are stored in VectorF, and the amplitude spectrum of signal x2 is saved in VectorF;
Second step, is the equal Block, N=3,4 of N blocks by analysis bandwidth Bs point ... .., each Block will carry out computing The a width of Bs/N of band, if the low-limit frequency that analyze bandwidth Bs is FL, here FL=0, then block nBlock, n=1...N, institute is right The frequency separation scope answered is respectively [FL+ (n-1) Bs/N, FL+ (n) Bs/N], by the Frequency point of corresponding frequency range in VectorF Each block is distributed to, the VectorF point ranges that wherein nBlock divides are [Sn, Sn+kn], whereinThe number of per section of Frequency point got is represented, and What is represented is starting point, and fs is signal sampling frequencies, and round (*) represents the computing that rounds up;
3rd step, seeks each Block the energy ∑ of its frequency spectrum | |2, obtain E (n), n=1...N;
4th step, averages to vectorial E
5th step, try to achieve vectorial E variance and
6th step, updates flag bit flag, flag=0, represents that a front testing result is no signal, it is this kind of under the conditions of, only Work as σsum>It is judged to currently detected signal during K2, flag is changed into 1;Work as flag=1, represent a front testing result to there is letter Number, it is this kind of under the conditions of, only work as σsum<It is judged to currently be not detected by signal during K1, it is threshold value that flag is changed into 0, K1 and K2, Empirical value is given with theoretical simulation, K2>K1;
7th step, controls whether subsequent demodulation thread etc. is opened according to flag bit:Flag=1, opens subsequent demodulation thread etc., no Then close subsequent demodulation thread.
4. the hydraulic turbine automatic governor control system of computer controls is based on as claimed in claim 1, it is characterised in that institute Stating computer installation has sleep scheduling and covering compensation to cover holding module, and the sleep scheduling and covering compensation cover holding mould The sleep scheduling of block and the covering keeping method of covering compensation include:
Step one, determines neighbor node number:Node broadcasts HELLO message is to surroundings nodes, and it is different that nodes records are received The number of HELLO message is so as to obtaining neighbor node number N of itself;
Step 2, estimates node redundancy degree:The desired value for obtaining node redundancy degree using neighbor node number N is:
As E (ηNAbsolute redundant node is considered during) >=α, as 1- α < E (ηN) < α when be relative redundancy Node, 0≤E (ηNIt is non-redundant node during)≤1- α, wherein, α is threshold value set in advance;
Step 3, estimates dump energy of the node after information switching phase:Transmitter often passes 1bit consumption of information energy: Eelec-te, receiver often receives 1bit consumption of information energy:Eelec-re, and have Eelec-te=Eelec-re;Often transmit 1bit information to lead to Cross the energy that unit distance transmitting terminal amplifier need to be consumed:Eamp, transmitting terminal sends k bits information need to the receiving terminal apart from d The energy of consumption is Eelec-te*k+Eamp*k*d2, receiving terminal receive k bits consumption of information energy be:Eelec-re*k;With m The node of neighbor node needs the energy consumed in information exchanging process to be:
(Eelec-te*k+Eamp*k*d2)*m+(Eelec-re*k)*m;
The dump energy with m neighbor node is after information exchanging process:
Eest1=E1- (Eelec-te*k+Eamp*k*d2)*m-(Eelec-re* k) * m, wherein, E1 is the real-time of the node before information exchange Energy;
Step 4, finds potential death nodes:If node energy meets:It is then potential death nodes, its In,For the average energy consumed in a time period;
Step 5, nodal information is exchanged:Whether each node will include the redundancy information of itself and is potential death nodes Information be broadcast to all of neighbor node;
Step 6, non-potential death nodes estimate the position that whether can move to potential death nodes;
Estimated information exchanges the energy for consuming:To enter row information exchange, this process consumed energy before all removable node motions For:
(Eelec-te*k+Eamp*k*d2)*L+(Eelec-re* k) * L, L is the number of the node exchanged into row information, and k is information Bit, d are the distance of information transmission;
If node motion, node dump energy after movement is estimated:
Eest2=E2- (Eelec-te*k+Eamp*k*d2)*L-(Eelec-re*k)*L-Emove* h, wherein, h is to move to target location Distance, E2 is the real-time power of the node before movement;
Whether decision node has mobile energy:It is required that mobile node at least works x time period after new position on earth, if saving Point energy meets:Then this node has the energy for moving to target location, otherwise, not with this energy Power, wherein, x is threshold value set in advance;
Step 7, determines mobile node:
Optimal node is selected in all moveable nodes according to following rule:
If there is absolute redundant node in removable node, judged according to target range, move the absolute of target range minimum Redundant node;If the target range that there are multiple absolute redundant nodes is equal and is minimum, further according to dump energy Eest2 Size judge, the node for selecting dump energy maximum;
If there was only relative redundancy node in removable node, selected according to the displacement of relative redundancy node, phase To the maximum movable distance that the distance that redundant node is moved is relative redundancy node, maximum movable distance is referred to not to be affected The moveable ultimate range of node under conditions of overlay area, according to maximum movable distance relative redundancy node motion is determined Target location;Compare the maximum movable distance of relative redundancy node, the minimum relative redundancy section of mobile maximum movable distance Point, if the maximum movable distance that there are multiple relative redundancy nodes is equal and is minimum, further according to dump energy Eest2 Size judge, the node for selecting dump energy maximum,
Step 8, to remaining absolute redundant node sleep scheduling mechanism is adopted:After node motion to target location, will be definitely superfluous Remaining node state changes into sleep.
CN201611130571.2A 2016-12-09 2016-12-09 Hydraulic turbine automatic governor control system based on computer control Pending CN106647567A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611130571.2A CN106647567A (en) 2016-12-09 2016-12-09 Hydraulic turbine automatic governor control system based on computer control

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611130571.2A CN106647567A (en) 2016-12-09 2016-12-09 Hydraulic turbine automatic governor control system based on computer control

Publications (1)

Publication Number Publication Date
CN106647567A true CN106647567A (en) 2017-05-10

Family

ID=58824954

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611130571.2A Pending CN106647567A (en) 2016-12-09 2016-12-09 Hydraulic turbine automatic governor control system based on computer control

Country Status (1)

Country Link
CN (1) CN106647567A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112530151A (en) * 2020-11-25 2021-03-19 重庆中节能悦来能源管理有限公司 Energy supply system capable of carrying out wireless monitoring
CN113327342A (en) * 2021-06-04 2021-08-31 辽宁红沿河核电有限公司 Data real-time recording and monitoring system for electronic speed regulation controller

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2245674Y (en) * 1995-08-14 1997-01-22 吴铁民 Hydraulic turbine automatic governor controlled by micro-computer
KR100916355B1 (en) * 2009-02-27 2009-09-11 한국기계연구원 Governor of turbine
CN103327653A (en) * 2013-06-26 2013-09-25 电子科技大学 Coverage keeping method based on sleeping scheduling and coverage compensation
CN103414527A (en) * 2013-08-08 2013-11-27 西安电子科技大学 Signal detection method based on energy detection
CN103457890A (en) * 2013-09-03 2013-12-18 西安电子科技大学 Method for effectively recognizing digital modulating signals in non-Gaussian noise
CN104791187A (en) * 2015-04-08 2015-07-22 武汉四创自动控制技术有限责任公司 Water-turbine adjustment system and method capable of forecasting health status

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN2245674Y (en) * 1995-08-14 1997-01-22 吴铁民 Hydraulic turbine automatic governor controlled by micro-computer
KR100916355B1 (en) * 2009-02-27 2009-09-11 한국기계연구원 Governor of turbine
CN103327653A (en) * 2013-06-26 2013-09-25 电子科技大学 Coverage keeping method based on sleeping scheduling and coverage compensation
CN103327653B (en) * 2013-06-26 2016-03-16 电子科技大学 Based on sleep scheduling and the covering keeping method covering compensation
CN103414527A (en) * 2013-08-08 2013-11-27 西安电子科技大学 Signal detection method based on energy detection
CN103457890A (en) * 2013-09-03 2013-12-18 西安电子科技大学 Method for effectively recognizing digital modulating signals in non-Gaussian noise
CN104791187A (en) * 2015-04-08 2015-07-22 武汉四创自动控制技术有限责任公司 Water-turbine adjustment system and method capable of forecasting health status

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张玉馥等: "《单片机原理与应用技术》", 31 October 2012, 西安电子科技大学出版社 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112530151A (en) * 2020-11-25 2021-03-19 重庆中节能悦来能源管理有限公司 Energy supply system capable of carrying out wireless monitoring
CN113327342A (en) * 2021-06-04 2021-08-31 辽宁红沿河核电有限公司 Data real-time recording and monitoring system for electronic speed regulation controller

Similar Documents

Publication Publication Date Title
CN101976842B (en) Method for automatically acquiring key sections based on electrical partitioning
CN101226682B (en) Device for monitoring stray current of novel subway
CN102325149B (en) Intelligent network remote terminal unit (RTU) system of electrified railway
CN101975602A (en) Wireless remote automatic monitoring method for water level
CN201535811U (en) FL system of electric distribution network based on wireless communication
CN106647567A (en) Hydraulic turbine automatic governor control system based on computer control
CN105093075A (en) Cable partial discharge positioning system and method based on travelling wave principle
CN104750077A (en) Water quality monitoring system of offshore cage based on ZigBee and GPRS (General Packet Radio Service) technologies
CN103399133A (en) IOT (internet of things)-based intelligent online multilevel monitoring system of urban sewage discharge points
CN107221147A (en) Double nets fusion acquisition system of multiple-in-one
CN202514073U (en) Sensor network node device, aggregation node device thereof and electricity stealing prevention system
CN213602448U (en) Platform district topology identification system based on edge calculation module
CN110690756A (en) Intelligent management and control system for grounding wire of power transmission line
CN202721499U (en) Wind power plant remote monitoring system based on wireless network
CN107360579B (en) Power monitoring method and system based on wireless network and big data
CN110864738B (en) Wide-area safety monitoring system and control method for power transmission tower
CN117408508A (en) Method, device and system for early warning waterlogging of transformer substation
CN103957259A (en) Pipeline pressure monitoring system and method
CN102869006B (en) Wireless sensor network hierarchical invasion Fault Diagnostic Expert System and method thereof
CN205230321U (en) Ocean station monitored control system
CN214474498U (en) Intelligent SF6 online monitoring system based on LoRa technology
CN104199412A (en) Wireless network-based remote monitoring system of distributed wind power plant
CN205192628U (en) Temperature monitoring device based on radio communication technique
CN202954429U (en) Automatic drainage system for dispatching of deep well of transformer substation
CN113824213A (en) Power information monitoring system and networking method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170510

RJ01 Rejection of invention patent application after publication