CN102721741B - Wind power blade damage monitoring and positioning system based on wireless acoustic emission sensor network - Google Patents

Wind power blade damage monitoring and positioning system based on wireless acoustic emission sensor network Download PDF

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Publication number
CN102721741B
CN102721741B CN201210205204.XA CN201210205204A CN102721741B CN 102721741 B CN102721741 B CN 102721741B CN 201210205204 A CN201210205204 A CN 201210205204A CN 102721741 B CN102721741 B CN 102721741B
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data
node
leader cluster
module
sound emission
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CN201210205204.XA
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CN102721741A (en
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杨斌
张卫冬
张利欣
艾一搏
张习文
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北京科技大学
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Abstract

The invention relates to the field of wind power blade health monitoring and safety evaluation, and particularly provides a wind power blade damage monitoring and positioning system based on a wireless acoustic emission sensor network. The wind power blade damage monitoring and positioning system based on the wireless acoustic emission sensor network comprises wireless acoustic emission sensor nodes (1), cluster nodes (2), a network management converging node (3) and a monitoring center, the wireless acoustic emission senor nodes (1) acquire blade crack data, the cluster nodes (2) carry out relay transmission of the data, and the network management converging node (3) converges the data. Advantages of a wireless sensor network and advantages of acoustic emission technology are combined, the damage monitoring and positioning system which is applied to wind power blades and is flexible in arrangement, high in extensibility, convenient to install and maintain and sensitive in crack sensing is built, and problems that acquisition points are installed and maintained difficultly, cost is high, extensibility is poor and the like in a traditional cable arranging process are solved. In addition, the wind power blade damage monitoring and positioning system is simple in integral arrangement, flexible in installation and convenient and quick to use.

Description

Wind electricity blade damage monitoring positioning system based on wireless sound emission sensor network

Technical field

The present invention relates to wind electricity blade health monitoring and safety assessment field, a kind of wind electricity blade damage monitoring and positioning system based on wireless sound emission sensor network is specifically provided.

Background technology

In recent years, along with country supports the development of regenerative resource energetically, rapid growth and the single-machine capacity of installed capacity of wind-driven power constantly increase, and the safe reliability to wind power equipment, operation stability have proposed high requirement.The Blast Furnace Top Gas Recovery Turbine Unit (TRT) that wind power generating set is made up of blade, kinematic train, generator, energy storage device, pylon and electric system etc.Blade of wind-driven generator (abbreviation wind electricity blade) is most important parts wherein, and its service state on the safe operation impact of whole wind-powered electricity generation unit greatly.

Because the wind power plant of China is mainly distributed in three Norths (northeast, North China, northwest) and coastland, the extraneous erosions such as wind electricity blade needs to bear for a long time that high wind load, sleet, sand grains are washed away under arms in process, ultraviolet irradiation, atmospheric oxidn and salt air corrosion, the working environment of relatively external wind electricity blade, the wind electricity blade Service Environment of China is more complicated and severe, and the military service of wind electricity blade has been caused safely to great threat.Therefore, in order to ensure the military service safety of China's wind electricity blade, reduce heavy economic losses, the generation of the incidents that averts a calamity, rationally maintenance, minimizing maintenance cost, take effective technological means and method to carry out health monitoring to wind electricity blade and have very important theory significance and practical significance.

The features such as wind electricity blade has size and weight is large, Service Environment is severe, profile and load complexity, and the wind electricity blade of China mainly adopts the compound substances such as fiberglass, and manufacture craft is subject to environment and artificial affecting very large, has certain randomness and uncertainty.At present, mainly adopt the mode of regular shutdown maintenance to safeguard to wind electricity blade, lack effective health monitoring and damage forecast method, have major safety risks.But, consider wind electricity blade self and military service feature, utilize traditional wired, active on-line monitoring mode to carry out health monitoring to it and will face cable wiring manufacture difficulty, later maintenance difficulty, extensibility and maintainable poor problem.

Wireless sensor network (Wireless Sensor Network, WSN) be a kind of emerging data acquisition and transmission technology, it utilizes the mode of radio communication that a large amount of sensor nodes is formed to a monitor network multi-hop, self-organization, have that wireless communication transmissions, reliability are high, the feature such as self-organization, easy to maintenance, favorable expandability, can effectively solve the problem that wind electricity blade health monitoring exists.Because material or member are in the time being subject to external force or endogenetic process, inner strain energy discharges rapidly with the form of elastic wave, acoustic emission has special susceptibility to the initial sum expansion of material or member defect, and having detection of dynamic ability, is one of effective method of the damage research of compound substance.Therefore, combining with wireless sensor network and acoustic emission are monitored and are located the damage of wind electricity blade, be conducive to set up wind electricity blade health monitoring systems real-time, reliable, long term monitoring, set up unified effective standard for the health status evaluation of wind electricity blade theoretical foundation and Data support are provided.At present, open source literature related to the present invention is as follows:

(1) Chinese patent (application number: 201120265063.1) disclose a kind of wind-powered electricity generation unit intelligent early-warning emergency system wireless sensor network apparatus, comprised sensor assembly, data processing and control module, wireless communication module and supply module.This device can carry out perception and identification to physical messages such as the temperature in switch board in wind-power engine room and tower body, smog, images, realizes cigarette spectrum situation of change in temperature in cabin and air is carried out accurately to monitoring automatically; Can detect oxygen concentration in cabin, carry out Environmental security and hold tightly, to guarantee personnel's healthy and life security.

(2) Yang Jianfeng of Beijing University of Chemical Technology, Han Jingyu have studied the wind electricity blade crackle wireless monitor system based on acoustic emission, paper has been realized the hardware node based on CC2480 and ATmegal28, and can carry out the eigenwert calculating of acoustic emission data, wireless communication section is responsible for these three characteristic parameters to transmit.

(3) Chinese patent (application number: CN200820165073.6) discloses a kind of plnat monitoring device.That the plant sound transmitting signal pick-up unit that object is to provide should have is low in energy consumption, reliability strong, install and safeguard the features such as convenient, and cost is lower.This scheme comprises the one group wireless sensor network node of random placement on the different plants stem of field, each node comprise calibrate AE sensor and and companion module; Described wireless sensor network node is communicated by letter with remote database server by one or several gateway, base station; The process that data transmit is that the data that each wireless sensor network node gathers send back gateway by the mode of adjacent node refile, gateway will be transmitted to base station after data processing, the mode connecting with satellite channel or cable network by base station sends remote database server to; It is characterized in that described each calibrate AE sensor is arranged on plant stem, with the acoustic emission signal of direct perception plant.

(4) Chinese patent (application number: CN201110065468.5) discloses personnel positioning monitoring system and localization method under a kind of chemical scene.Existing positioning equipment cost is high, positioning precision is low.The present invention includes RS-485 bus, wireless sensor network, DTU (Data Transfer unit) and be distributed in the substation gateway in each workshop.Data in RS-485 bus network are carried out communication according to RS-485 bus communication agreement; Data in wireless sensor network are carried out communication according to serial communication protocol by RS-232 serial ports; RS-485 bus network is connected by DTU (Data Transfer unit) and each workshop substation gateway with wireless senser, for instruction and parameter are transferred to wireless sensor network.The present invention can accurately obtain the position of staff in workshop, and real-time dynamic positioning data are provided.

(5) Chinese patent (application number: CN201010264833.0) discloses a kind of airport environment monitoring method based on wireless sensor network, realize real-time monitoring and the early warning processing of airport environment by building a wireless sensor network and particular virtual network, wireless sensor network is by network coordinator, terminal device and monitoring node form, particular virtual network is by Surveillance center, handheld device and safety-protection system form, its remarkable result is: Surveillance center adopts Virtual Private Network, be beneficial to confidentiality and the security of data message, wireless sensor network adopts different wireless channel access mechanisms under different situations, guarantee that in emergency circumstances monitoring node is reported effective environment information to Surveillance center in real time, between wireless sensor network and Virtual Private Network, adopt GPRS agreement, expand data transmitting range, Surveillance center can carry out real-time judge and early warning processing to the environmental information of uploading, strengthen the intelligent and integrity of airport security protection system, prevention accident accurately and real-time occurs.

In sum, around the research of the problems such as wind electricity blade damage monitoring, damage location, only have a small amount of patent and technical paper at home and abroad, but these achievements in research only solve subproblem at present, also existed a lot of fields not yet to explore.Be embodied in: (1) existing achievement in research, mostly for cabin or the pylon etc. of wind-powered electricity generation unit, is not considered the singularity of wind electricity blade; (2) to contain content less for achievement in research, only just solved the problem of front end data acquisition, and research contents only relates to several modules and the function of data acquisition, the more not total solution of the Crack Damage monitoring to whole blade; (3) not for the real-time positioning system of wind electricity blade Crack Damage position, lack the early warning mechanism of On Crack Propagation trend; (4) the data acquisition node processing of research is limited in one's ability, is difficult to tackle complicated application background.The present invention is directed to above problem, a kind of wind electricity blade damage monitoring and positioning system based on wireless sound emission sensor network proposed, overcome tradition and had the problem that line monitoring system installation and maintenance cost is high, extendability is poor, utilize wireless sensor network and acoustic emission, realized and be a kind ofly easy to installation and maintenance, reliability and stability are high, applicability good, the total solution of the monitoring of the wind electricity blade Crack Damage of Crack Damage position accurate positioning.

Summary of the invention

The object of the invention is to provide wind electricity blade damage monitoring and the positioning system based on wireless sound emission sensor network, whole system has been avoided the laying of power lead and data line, the blade Crack Damage data that initiatively listen to send to long-range Surveillance center by two-stage wireless mode, can realize the Real-Time Monitoring of blade crackle, and the real-time location of crack position.For achieving the above object, the present invention includes:

Technical scheme of the present invention is as follows: a kind of wind electricity blade damage monitoring and positioning system based on wireless sound emission sensor network, comprise blade crackle data collection radio calibrate AE sensor node (1), to data carry out relay transmission leader cluster node (2), converge webmaster aggregation node (3) and the Surveillance center of data, it is characterized in that:

Each blade deploy multiple wireless sound emission sensor node (1) is for image data, wireless sound emission sensor node on each blade forms one bunch, and be an each bunch of leader cluster node as data relay of distribution (2), wireless sound emission sensor node sends data to leader cluster node in the time slot of regulation, and bunch interior nodes realizes the location, position of crackle by D-S evidence theory and three-point positioning method; Leader cluster node is deployed in root of blade, adopts power supply/lithium battery power supply, the data of continual monitoring bunch interior nodes, and each bunch is distributed a conventional frequency of operation; Data are sent to webmaster aggregation node (3) by leader cluster node, the data that continual monitoring leader cluster node sends; Webmaster aggregation node (3) connects field monitor network by Ethernet or GPRS/3G network, and crackle data are stored into data center; Wireless sound emission sensor node (1), leader cluster node (2) and aggregation node (3) all have selftest module, start or complete node self check according to user instruction at node, and whether the each module of detection node normally works; If there is extremely, will show and early warning in client in time; Terminal user grasps the service state of wind electricity blade in real time by Surveillance center, understand in real time the spread scenarios of blade crackle, early warning in time.

Further, the wireless sound emission sensor node (1) being installed on wind electricity blade comprising: FPGA control module, data cache module, power management module, calibrate AE sensor, data high-speed acquisition module, prime amplifier, high-speed data processing module, radio frequency units; Real-Time Monitoring blade crack information after node starts, utilize data acquisition module can realize the high speed acquisition of acoustic emission data, by the data that gather after preposition amplification is processed, extracting data acoustic emission parameters characteristic by high-speed data processing module from gathering, then utilizes 2.4G wireless radio frequency modules that the packing of characteristic parameter data is sent to relaying leader cluster node; Wireless sound emission sensor node (1) adopts lithium battery independently-powered, has function of voltage monitoring, in the time that cell voltage drops to threshold value, and alarm, remind Surveillance center to change battery; The selftest module of wireless sound emission sensor node, for the Function detection of the each module of node, prevents from incuring loss through delay crackle data acquisition because node breaks down.

Further, aggregation node (3) comprises wireless radio frequency modules, ethernet control module, data communication module, data cache module, micro-control unit, GPRS/3G mixed-media network modules mixed-media, USB and serial communication unit, selftest module, power management module, use 220V Power supply, in the time that power supply goes wrong, automatically switch to powered battery function, guarantee storage and the transmission of data; Data cache module is used for preserving the data that interim buffer memory via node sends, or in burst network interruption situation, cannot send to the data of Surveillance center, guarantees the stable transfer of network data; Aggregation node can be connected with wind energy turbine set monitor network by Ethernet or GPRS/3G network, sends data to Surveillance center; Aggregation node has frequency sweeping function, in the enterprising line scanning of all frequencies of the use of leader cluster node, receives the data from leader cluster node; The selftest module of aggregation node is realized the automatic detection whether each hardware cell of node normally works.

Further, the wireless radio frequency modules of data being carried out to the leader cluster node (2) of relay transmission has frequency sweeping function, the eigenwert that perceives crackle data when wireless sound emission sensor node (1) exceedes threshold value, all nodes that perceive this crackle are enabled emergency frequency and are sent data, in the time that via node carries out passage scanning, consistent with the emergency frequency that wireless sound emission sensor node (1) uses once frequency, crackle data are sent to leader cluster node (2) by wireless sound emission sensor node, leader cluster node (2) and then data are sent to aggregation node (3), can the selftest module of leader cluster node normally work for detection of each module, guarantees that leader cluster node is working properly.

Further, the hardware components that not only comprises front end of whole system, also be included in dispatch server, database server, apps server, Web server and the client composition of Surveillance center, system utilize bunch in relevant wireless sound emission sensor node (1) reach the time by D-S evidence theory and crackle data crack position carried out to three-dimensional localization, and show the three dimensional local information of crackle by graphical interfaces in client, and can report to the police according to the crackle threshold value of setting.

Based on a wind electricity blade damage monitoring method for wireless sound emission sensor network, described method is as follows:

When blade cracks or Crack Extension, wireless sound emission sensor node gathers crackle waveform correlation data, then calculates and obtains characteristics of Acoustic Emission parameter, mainly comprises Ring-down count, duration, energy, rising counting, rise time etc.; Meanwhile, whether wireless sound emission sensor node judging characteristic parameter has exceeded the dangerous threshold value that user sets, if do not exceed threshold value, sensor node, by the packing of characteristics of Acoustic Emission parameter, at the data sending time slots of regulation, sends to leader cluster node by data; If exceeded threshold value, sensor node, by the packing of acoustic emission wave graphic data, need not be waited for the time slot of regulation, enables immediately the particular frequencies of regulation, and data are sent to leader cluster node; In the time not exceeding threshold value, leader cluster node will receive after all bunch interior nodes data, and packing sends to aggregation node; If exceeded threshold value, show that current crackle is more dangerous, leader cluster node will utilize special identifier to pack to the sensor node data that perceives dangerous crackle data, and the same particular frequencies of utilizing regulation sends data to aggregation node; Aggregation node is transferred to dispatch server by the data that receive by Ethernet, and dispatch server coordinate application server and database server complete reception and the store tasks of data.

Based on a wind electricity blade damage positioning method for wireless sound emission sensor network, described method is as follows:

User selects crack position positioning function at remote monitoring center, and according to crack position that will be definite, user selects from the sensor close to this crack position, and sets and need several sensors for crack position location, and the numeral of setting must be greater than 2; The sensor that system is selected according to user, utilizes K-NN method or this sensor node around; If neighboring node only has 2 sensors, the sensor that coordinates user to select, directly utilizes three-dimensional fix method to position crack position; If neighboring node reached 3 and more than, system is utilized the voting method of D-S evidence theory, from multiple sensors, select 2 sensors, the sensor that coordinates user to select, the mistiming of utilizing three sensor nodes to receive Signal of Cracks positions crack position by three-dimensional fix method.

The invention has the advantages that: the advantage that combines wireless sensor network and acoustic emission, build a set of damage monitoring and positioning system that deployment is flexible, extendability is strong, convenient for installation and maintenance, crackle perception is sensitive that is applied to wind electricity blade, the problems such as while having overcome traditional cable wiring, difficulty, Maintenance Difficulty are installed in collection point, cost is high, extendability is poor, whole system configuration is simple, flexible for installation, easy to use.

Accompanying drawing explanation

Wind electricity blade damage monitoring and the positioning system schematic diagram of Fig. 1 based on wireless sound emission sensor network, wherein 1 is that wireless sound emission sensor node, 2 is that data relay leader cluster node, 3 is aggregation node.

Fig. 2 system remote Surveillance center deployment diagram.

Fig. 3 is wireless sound emission sensor node hardware structure figure.

Fig. 4 is data relay leader cluster node hardware structure diagram.

Fig. 5 is convergence node hardware structure figure.

Fig. 6 is wireless sound emission sensor node, leader cluster node, aggregation node self-checking function process flow diagram.

The wind electricity blade damage monitoring of Fig. 7 based on wireless sound emission sensor network and the data flow schematic diagram of positioning system.

Fig. 8 blade Crack Damage position positioning flow figure.

Embodiment:

Fig. 1 is wind electricity blade damage monitoring and the positioning system schematic diagram based on wireless sound emission sensor network.User selects to need the leaf position of monitoring according to monitoring requirements, mainly comprise root, shell, three part compositions of keel (being reinforcement or reinforcing frame), change stress raiser greatly in blade tip, leading edge and trailing edge, workplace and pneumatic, crossbeam and curvature, dispose corresponding wireless sound emission sensor node at these key positions.Because each blade reaches tens meters, while disposing wireless sound emission sensor node, to consider the sensing range of blade material and calibrate AE sensor serious to acoustic emission signal decay.Wireless sound emission sensor node has been responsible for the collection of crackle data, and the wireless sound emission sensor node of each blade deploy forms one bunch, and each bunch is distributed a data relay leader cluster node.Because every typhoon group of motors comprises three blades, therefore every typhoon group of motors comprises three bunches, and every typhoon group of motors is distributed an aggregation node.Wireless sound emission sensor node gathers the Wave data that crackle produces or expands in the time slot of regulation, and obtain characteristics of Acoustic Emission parameter by calculating, and in the time slot of regulation, data being sent to leader cluster node, leader cluster node sends to aggregation node by the data packing receiving again.Leader cluster node and aggregation node are all arranged near the cabin of wind-powered electricity generation unit, therefore adopt under normal circumstances Power supply, thereby always in running order, start lithium battery power supply in the time that disconnection fault appears in power supply, guarantee data transmission and storage.Aggregation node sends to remote monitoring center by Ethernet or GPRS/3G network by data, remote monitoring center is by dispatch server, apps server, database server, Web server, C/S and B/S client composition, dispatch server is as the load of coordinating and task is had enough to meet the need the each server of center poise, each generic operation and the request of completing user, database server provides data storage, the services associated with the data such as inquiry, the request that Web server is responsible for B/S client to propose is processed, apps server is responsible for related algorithm, command analysis provides support.

Fig. 2 system remote Surveillance center deployment diagram.Remote monitoring center is mainly responsible for storage, demonstration and the comprehensive utilization of data, by dispatch server, apps server, database server, Web server and B/S and C/S client.Dispatch server is the core of whole system running and management, is engine and the terminal of system running, all information alternately all by dispatch service management.Dispatch server is responsible for dispatching the various requests from Web server, client, database server and apps server in whole enterprise, realizes load balance and the long-range interoperability etc. of whole system.Apps server is the core of whole crack monitoring and the running of positioning system service logic, the rule of all crack monitorings and algorithm are realized and all here being completed, also be responsible for carrying out communication and data interaction with wireless sound emission sensor network data acquisition system simultaneously, receive the data that in wireless sound emission sensor network data acquisition system, aggregation node is uploaded, and according to user's requirement to sending data acquisition instruction by aggregation node to wireless sound emission sensor network data acquisition system, or according to the various parameters of user's request change wireless sound emission sensor network data acquisition system, be responsible for the data of online real time collecting to process, comprise statistical study, figure demonstration etc., be responsible for the data of that processed, online or off-line to pass through dispatch server with certain rule and frequency, in the situation that whole system resource allows, just can be transferred to database server and carry out various data calls.Database server is in order to dispatch and those server programs for the request of database of pre-service, be responsible for the request for data that apps server is sent, as operations such as inquiry, renewal, deletion and insertions, dispatch and pre-service, and be finally converted into the request of database is submitted to database; Be responsible for Optimizing Queries strategy, adopt data mining technology to carry out deep layer utilization to data.Web server major function is to provide the network information browsing service of system, when Web browser (client) is linked on server and when demand file, server sends on this browser by this request of processing and by file, and subsidiary information can tell how browser checks this file (being file type).Server uses HTTP(HTML (Hypertext Markup Language)) carry out information interchange.Web server not only can be stored information, and Run Script and program on the basis of the information that can also provide by Web browser user, for display system interface, realize B/S browse mode.

Fig. 3 is wireless sound emission sensor node hardware structure figure.It is high that acoustic emission data sampling has frequency, the feature that data volume is large.Therefore, in the time of design wireless sound emission sensor node, adopt the framed structure of FPGA and DSP, wherein FPGA is whole joint core as the micro-control unit of node, DSP module is mainly used to process floating data, is characteristics of Acoustic Emission parameter by acoustic emission waveform data processing.Calibrate AE sensor perceives after blade crackle data, enters high-speed AD data acquisition module by prime amplifier.In order to alleviate the pressure of DSP processing module, the data of collection are sent to DSP high-speed data processing module after by data cache module buffer memory.FPGA module connects DSP high-speed data processing module, wireless data sending module, power management module, serial communication module and data cache module.Wireless sound emission sensor node adopts lithium battery power supply.JTAG module provides debugging interface for DSP high-speed data processing module.In node, there are two data cache module, the data cache module being connected with FPGA micro-control unit is, under case of emergency, Wave data is stored in to local node, the data cache module being connected with DSP high-speed data processing module is mainly the calculating pressure in order to alleviate DSP high-speed data processing module, and the Data buffer providing.Whether node selftest module is mainly to send command detection modules by micro-control unit normally to work.

Fig. 4 is data relay leader cluster node hardware structure diagram.Leader cluster node be mainly responsible for bunch in the relay transmission of data, be a bunch interior nodes distribute data transmission time slot.Micro-control unit is the core of whole leader cluster node, connection data cache module, power management module, wireless transport module, serial communication modular, jtag interface module.Wherein power management module is mainly used for the conversion of the voltage of power supply, and in the time that interrupting appears in Power supply, power management module will provide Coordination Treatment, then uses lithium battery power supply.Data cache module is mainly the data for receiving bunch interior nodes, coordinates the data of wireless module to send.Whether node selftest module is mainly to send command detection modules by micro-control unit normally to work.

Fig. 5 is convergence node hardware structure figure.Aggregation node is mainly responsible for receiving the data from leader cluster node, is also the interface of remote monitoring center and front end wireless sound emission sensor network data acquisition system simultaneously.Aggregation node adopts ARM9 as controlling unit, and stronger data processing and arithmetic capability is provided.Micro-control unit is connected with wireless transport module, GPRS/3G network communication module, ethernet control module, power management module, serial communication module, JTAG module, usb interface module, data cache module and node selftest module.Aggregation node can send data to distant place Surveillance center by ethernet control module and GPRS/3G network communication module.Whether node selftest module is mainly to send command detection modules by micro-control unit normally to work.

The self-checking function flow process of Fig. 6 wireless sound emission sensor node, leader cluster node and aggregation node.It has detected flow process substantially: system powers on or user sends after self-checking command, first control module receives self-checking command, send different checking commands to the each unit connecting, whether each unit judges check code is correct, in the situation that check code is correct, agreement is according to the rules returned to multiple code separately respectively, control module judges in the correct situation of the reply code that returns each unit, shows that the each functions of modules of node is normal.Otherwise, will, to user report node fail self-test, carry out alarm indication in client.

Fig. 7 is wind electricity blade damage monitoring based on wireless sound emission sensor network and the data flow schematic diagram of positioning system.When blade cracks or Crack Extension, wireless sound emission sensor node gathers crackle waveform correlation data, then calculates and obtains characteristics of Acoustic Emission parameter, mainly comprises Ring-down count, duration, energy, rising counting, rise time etc.Meanwhile, whether wireless sound emission sensor node judging characteristic parameter has exceeded the dangerous threshold value that user sets, if do not exceed threshold value, sensor node, by the packing of characteristics of Acoustic Emission parameter, at the data sending time slots of regulation, sends to leader cluster node by data; If exceeded threshold value, sensor node, by the packing of acoustic emission wave graphic data, need not be waited for the time slot of regulation, enables immediately the particular frequencies of regulation, and data are sent to leader cluster node.In the time not exceeding threshold value, leader cluster node will receive after all bunch interior nodes data, and packing sends to aggregation node.If exceeded threshold value, show that current crackle is more dangerous, leader cluster node will utilize special identifier to pack to the sensor node data that perceives dangerous crackle data, and the same particular frequencies of utilizing regulation sends data to aggregation node.Aggregation node is transferred to dispatch server by the data that receive by Ethernet, and dispatch server coordinate application server and database server complete reception and the store tasks of data.

Fig. 8 blade Crack Damage position positioning flow figure.User selects crack position positioning function at remote monitoring center, and according to crack position that will be definite, user selects from the sensor close to this crack position, and sets and need several sensors for crack position location, and the numeral of setting must be greater than 2.The sensor that system is selected according to user, utilizes K-NN method or this sensor node around.If neighboring node only has 2 sensors, the sensor that coordinates user to select, directly utilizes three-dimensional fix method to position crack position.If neighboring node reached 3 and more than, system is utilized the voting method of D-S evidence theory, from multiple sensors, select 2 sensors, the sensor that coordinates user to select, the mistiming of utilizing three sensor nodes to receive Signal of Cracks positions crack position by three-dimensional fix method.

Claims (7)

1. wind electricity blade damage monitoring and the positioning system based on wireless sound emission sensor network, comprise blade crackle data collection radio calibrate AE sensor node (1), to data carry out relay transmission leader cluster node (2), converge webmaster aggregation node (3) and the Surveillance center of data, it is characterized in that:
Each blade deploy multiple wireless sound emission sensor node (1) is for image data, wireless sound emission sensor node on each blade forms one bunch, and be that an each bunch of leader cluster node as data relay of distribution (2) managed a bunch interior nodes, in bunch, the wireless sound emission sensor node of image data is called a bunch interior nodes, bunch interior nodes sends data to leader cluster node in the time slot of regulation, and bunch interior nodes realizes the location, position of crackle by D-S evidence theory and three-point positioning method; Leader cluster node is deployed in root of blade, adopts power supply/lithium battery power supply, the data of continual monitoring bunch interior nodes, and each bunch is distributed a conventional frequency of operation; Data are sent to webmaster aggregation node (3) by leader cluster node, the data that continual monitoring leader cluster node sends; Webmaster aggregation node (3) connects field monitor network by Ethernet or GPRS/3G network, and crackle data are stored into data center; Wireless sound emission sensor node (1), leader cluster node (2) and aggregation node (3) all have selftest module, start or complete node self check according to user instruction at node, and whether the each module of detection node normally works; If there is extremely, will show and early warning in client in time; Terminal user grasps the service state of wind electricity blade in real time by Surveillance center, understand in real time the spread scenarios of blade crackle, early warning in time.
2. system according to claim 1, is characterized in that: the wireless sound emission sensor node (1) being installed on wind electricity blade comprising: FPGA control module, data cache module, power management module, calibrate AE sensor, data high-speed acquisition module, prime amplifier, high-speed data processing module, radio frequency units; Real-Time Monitoring blade crack information after node starts, utilize data acquisition module to realize the high speed acquisition of acoustic emission data, by the data that gather after preposition amplification is processed, extracting data acoustic emission parameters characteristic by high-speed data processing module from gathering, then utilizes radio frequency units that the packing of characteristic parameter data is sent to relaying leader cluster node; Wireless sound emission sensor node (1) adopts lithium battery independently-powered, has function of voltage monitoring, in the time that cell voltage drops to threshold value, and alarm, remind Surveillance center to change battery; The selftest module of wireless sound emission sensor node, for the Function detection of the each module of node, prevents from incuring loss through delay crackle data acquisition because node breaks down.
3. system according to claim 1, it is characterized in that: aggregation node (3) comprises wireless radio frequency modules, ethernet control module, data communication module, data cache module, micro-control unit, GPRS/3G mixed-media network modules mixed-media, USB and serial communication unit, selftest module, power management module, use 220V Power supply, in the time that power supply goes wrong, automatically switch to powered battery function, guarantee storage and the transmission of data; Data cache module is used for preserving the data that interim buffer memory via node sends, or in burst network interruption situation, cannot send to the data of Surveillance center, guarantees the stable transfer of network data; Aggregation node is connected with wind energy turbine set monitor network by Ethernet or GPRS/3G network, sends data to Surveillance center; Aggregation node has frequency sweeping function, in the enterprising line scanning of all frequencies of the use of leader cluster node, receives the data from leader cluster node; The selftest module of aggregation node is realized the automatic detection whether each hardware cell of node normally works.
4. system according to claim 1, it is characterized in that: the wireless radio frequency modules of data being carried out to the leader cluster node (2) of relay transmission has frequency sweeping function, the eigenwert that perceives crackle data when wireless sound emission sensor node (1) exceedes threshold value, all nodes that perceive this crackle are enabled emergency frequency and are sent data, in the time that via node carries out passage scanning, consistent with the emergency frequency that wireless sound emission sensor node (1) uses once frequency, crackle data are sent to leader cluster node (2) by wireless sound emission sensor node, leader cluster node (2) and then data are sent to aggregation node (3), can the selftest module of leader cluster node normally work for detection of each module, guarantees that leader cluster node is working properly.
5. system according to claim 1, it is characterized in that: whole system not only comprises that front end is based on wireless sound emission sensor node (1), the part of data acquisition of leader cluster node (2) and aggregation node (3), also be included in the dispatch server of Surveillance center, database server, apps server, Web server and client, the wireless sound emission sensor node (1) of system in utilizing bunch reaches the time by D-S evidence theory and crackle data crack position carried out to three-dimensional localization, and show the three dimensional local information of crackle by graphical interfaces in client, and can report to the police according to the crackle threshold value of setting.
6. system according to claim 1, is characterized in that:
When blade cracks or Crack Extension, wireless sound emission sensor node gathers crackle waveform correlation data, then calculates and obtains characteristics of Acoustic Emission parameter, mainly comprises Ring-down count, duration, energy, rising counting, rise time; Meanwhile, whether wireless sound emission sensor node judging characteristic parameter has exceeded the dangerous threshold value that user sets, if do not exceed threshold value, sensor node, by the packing of characteristics of Acoustic Emission parameter, at the data sending time slots of regulation, sends to leader cluster node by data; If exceeded threshold value, sensor node, by the packing of acoustic emission wave graphic data, need not be waited for the time slot of regulation, enables immediately the particular frequencies of regulation, and data are sent to leader cluster node; In the time not exceeding threshold value, leader cluster node will receive after all bunch interior nodes data, and packing sends to aggregation node; If exceeded threshold value, show that current crackle is more dangerous, leader cluster node will utilize special identifier to pack to the sensor node data that perceives dangerous crackle data, and the same particular frequencies of utilizing regulation sends data to aggregation node; Aggregation node is transferred to dispatch server by the data that receive by Ethernet, and dispatch server coordinate application server and database server complete reception and the store tasks of data.
7. system according to claim 1, is characterized in that:
User selects crack position positioning function at remote monitoring center, and according to crack position that will be definite, user selects from the sensor close to this crack position, and sets and need several sensors for crack position location, and the numeral of setting must be greater than 2; The sensor that system is selected according to user, utilizes K-NN method or this sensor node around; If neighboring node only has 2 sensors, the sensor that coordinates user to select, directly utilizes three-dimensional fix method to position crack position; If neighboring node reached 3 and more than, system is utilized the voting method of D-S evidence theory, from multiple sensors, select 2 sensors, the sensor that coordinates user to select, the mistiming of utilizing three sensor nodes to receive Signal of Cracks positions crack position by three-dimensional fix method.
CN201210205204.XA 2012-06-18 2012-06-18 Wind power blade damage monitoring and positioning system based on wireless acoustic emission sensor network CN102721741B (en)

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