CN107907332A - Bear vibration monitoring device based on wireless sensor network - Google Patents
Bear vibration monitoring device based on wireless sensor network Download PDFInfo
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- CN107907332A CN107907332A CN201711189961.1A CN201711189961A CN107907332A CN 107907332 A CN107907332 A CN 107907332A CN 201711189961 A CN201711189961 A CN 201711189961A CN 107907332 A CN107907332 A CN 107907332A
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- 238000012806 monitoring device Methods 0.000 title claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 58
- 238000013480 data collection Methods 0.000 claims abstract description 28
- 230000002776 aggregation Effects 0.000 claims description 35
- 238000004220 aggregation Methods 0.000 claims description 35
- 230000005540 biological transmission Effects 0.000 claims description 17
- 238000009529 body temperature measurement Methods 0.000 claims description 15
- 230000001133 acceleration Effects 0.000 claims description 4
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
- G01K1/02—Means for indicating or recording specially adapted for thermometers
- G01K1/026—Means for indicating or recording specially adapted for thermometers arrangements for monitoring a plurality of temperatures, e.g. by multiplexing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/04—Bearings
- G01M13/045—Acoustic or vibration analysis
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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Abstract
A kind of bear vibration monitoring device based on wireless sensor network, including wireless data collection device, wireless router, server and user's PC machine.The invention has the advantages that:Relatively wired on-line monitoring, wireless sensor network eliminate the correlative charges such as cable, are that enterprise is cost-effective;Wireless sensing module only needs to change the module of identical function, without other care and maintenances if there is failure;Multiple sensors can be coupled, are assembled according to the difference of data acquisition demand, the installation to monitoring device offers convenience;The network characteristic and ardware feature of wireless sensing monitoring modular determine that monitoring modular has stronger mobility, and layout personnel can be laid out according to different monitoring indexes, different orientation;The region that wireless sensor network monitoring system can also be applied to the region of wiring and power supply supply difficulty and personnel cannot reach.
Description
Technical field
The present invention relates to bearing vibration to monitor field, more particularly to a kind of bear vibration based on wireless sensor network
Monitoring device.
Background technology
In mechanical fault diagnosis, vibration detection means are the most frequently used also most effective, and about 70% source of trouble can
To be diagnosed by vibration analysis.Modern industry scene, many device structures are huge, and it is wide to produce line length, operating area, institute
The working environment at place is severe, it is difficult at the scene implement wiring and it is difficult in maintenance, signal interference is serious, set expandability is poor.Tradition
State monitoring of rolling bearing system based on wired mode is widely used, but is existed and connected up the problems such as complicated, difficult in maintenance.It is based on
Wireless sensor network (WirelessSensorNetwork, WSN) though monitoring mode taken in state monitoring of rolling bearing
It must apply, but primarily directed to the monitoring of the slow variable signal such as temperature, be still had necessarily for the vibration monitoring of rolling bearing
Limitation.
For vibration data traffic it is big the characteristics of, it is proposed that based on resonance and demodulation vibration performance anticipation wireless data pass
Defeated strategy, first calculates fault signature of the vibration signal after resonance and demodulation by monitoring node, is prejudged further according to given threshold,
Characteristic value is only sent if fault-free, original vibration signal is sent if faulty and supplies follow-up rigorous analysis.For single-hop
The network entirety latency issue that the limitation and Single Point of Faliure of data transmission range are brought, it is proposed that point of tree-like double aggregation nodes
Cluster wireless sensor network overall topological structure.For the confidence level of diagnostic result, data that single sensor measures will necessarily
The omission of effective fault characteristic information is caused, increases the contingency of fault diagnosis result.Gather at the same time and analyze multiple passages
Signal data, which can obtain, more includes the useful information of fault signature, so as to improve the accuracy and confidence of fault diagnosis result
Degree.
The content of the invention
The invention solves the above-mentioned problems of the prior art, there is provided a kind of bear vibration based on wireless sensor network
Monitoring device, can realize the vibration signal of wireless monitor rolling bearing.
The present invention solves the technical solution that its technical problem uses:This bear vibration monitoring based on wireless sensor network
Equipment, including wireless data collection device, wireless router, server and user's PC machine;
Wireless data collection device includes vibration acceleration sensor and temperature sensor, and wireless data collection device will be adopted
After the data collected are handled, through wireless router, it is transmitted in the background data base of server, user utilizes enterprise inside factory
Industry net analyzes Real-time Monitoring Data or carries out the inquiry of historical data operation;
One wireless router and several wireless data collection devices constitute cluster, several clusters constitute whole monitoring
Sensing data is wirelessly transferred to wireless router, each wireless router by object, wireless data collection device
It is responsible for the data forwarding of 1-16 wireless data collection device, finally forwards the data to server and stored and analyzed, and
It is supplied to enterprise customer to service;
Wireless data collection device, wireless router, server constitute wireless collection network system, wireless collection network
System includes temperature measurement node, leader cluster node and aggregation node, and cluster is made of leader cluster node and temperature measurement node, and temperature measurement node is responsible for adopting
Collect temperature information, and temperature information is transferred to leader cluster node, leader cluster node receives the data that temperature measurement node is sent in cluster, and will
Data sending is responsible for the data sending of leader cluster node to server to aggregation node, aggregation node;
Server uses high-performance server, and high-performance server is built-in with relative application software, before application software includes
End data capture program, database service, distributed application server program, Web service program;
User's PC machine includes client, and client carries out monitoring in real time, real-time curve, statistical analysis, alarm list, is
It is under the overall leadership reason, program renewal, system help operation.
Wireless collection network system has further included two relay nodes and two alarm leader cluster nodes.
Network architecture in wireless collection network system uses stelliform connection topology configuration, stelliform connection topology configuration by normal node with
Malfunctioning node monitoring data subchannel transmits.
The invention has the advantages that:The bear vibration monitoring device based on wireless sensor network of the present invention, it is opposite to have
Line is monitored on-line, and wireless sensor network eliminates the correlative charges such as cable, and wireless sensing node expense relative moderate, for enterprise
Industry is cost-effective;Wireless sensing module only needs to change the module of identical function if there is failure, without other maintenances and
Maintenance;Wireless sensor network module has multiple interfaces, can couple multiple sensors, according to data acquisition demand it is different into
Row assembling, the installation to monitoring device offer convenience;The network characteristic and ardware feature of wireless sensing monitoring modular determine prison
Surveying module has stronger mobility, and layout personnel can be laid out according to different monitoring indexes, different orientation, can
It can also be embedded into inside equipment with being placed on around equipment;Wireless sensor network monitoring system can also be applied to wiring and
The region that the difficult region of power supply supply and personnel cannot reach.
Brief description of the drawings
Fig. 1 is the system framework figure of the embodiment of the present invention;
Fig. 2 communication modes figures between node of the embodiment of the present invention;
Fig. 3 is the vibrating data collection node main control chip circuit diagram of the embodiment of the present invention;
Fig. 4 is the vibrating data collection node analog to digital conversion circuit schematic diagram of the embodiment of the present invention;
Fig. 5 is the testing stand overall pattern of the embodiment of the present invention
Description of reference numerals:Bolt 1, packing ring 2, transparent cover 3, bearing 5, main shaft 6, flange 7, pressure copper sheathing 8, axial baffle ring 9,
Spindle pulley 11, key 12, motor pulley 15, Y132S-4 motors 16, electric baseboard 17.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings:
Referring to the drawings:This bear vibration monitoring device based on wireless sensor network in the present embodiment, including it is wireless
Data acquisition equipment, wireless router, server and user's PC machine;
Wireless data collection device includes vibration acceleration sensor and temperature sensor, and wireless data collection device will be adopted
After the data collected are handled, through wireless router, it is transmitted in the background data base of server, user utilizes enterprise inside factory
Industry net analyzes Real-time Monitoring Data or carries out the inquiry of historical data operation;
One wireless router and several wireless data collection devices constitute cluster, several clusters constitute whole monitoring
Sensing data is wirelessly transferred to wireless router, each wireless router by object, wireless data collection device
It is responsible for the data forwarding of 1-16 wireless data collection device, finally forwards the data to server and stored and analyzed, and
It is supplied to enterprise customer to service;
Wireless data collection device, wireless router, server constitute wireless collection network system, wireless collection network
System includes temperature measurement node, leader cluster node and aggregation node, and cluster is made of leader cluster node and temperature measurement node, and temperature measurement node is responsible for adopting
Collect temperature information, and temperature information is transferred to leader cluster node, leader cluster node receives the data that temperature measurement node is sent in cluster, and will
Data sending is responsible for the data sending of leader cluster node to server to aggregation node, aggregation node;
Server uses high-performance server, and high-performance server is built-in with relative application software, before application software includes
End data capture program, database service, distributed application server program, Web service program;
User's PC machine includes client, and client carries out monitoring in real time, real-time curve, statistical analysis, alarm list, is
It is under the overall leadership reason, program renewal, system help operation.
Wireless collection network system has further included two relay nodes and two alarm leader cluster nodes.
Network architecture in wireless collection network system uses stelliform connection topology configuration, stelliform connection topology configuration by normal node with
Malfunctioning node monitoring data subchannel transmits.
Wireless data collection device will using vibration acceleration sensor, temperature sensor etc., wireless data collection device
After the data collected are handled, through wireless router, it is transmitted in the background data base of server, user can utilize factory
Internal enterprising network analyzes Real-time Monitoring Data or carries out the operation such as the inquiry of historical data, sees Fig. 1.
Whole monitoring objects are divided into several regions by detection part, are referred to as cluster, each cluster is by a wireless router
Formed with several wireless data collection devices, sensing data is wirelessly transferred to wirelessly by wireless data collection device
Router, each wireless router can be responsible for the data forwarding of 1-16 wireless data collection device, finally forward the data to
Server is stored and analyzed, and is supplied to enterprise customer to service.
Cluster is made of leader cluster node and temperature measurement node, and whole wireless collection network system includes three kind equipments:Temperature measurement node,
Leader cluster node, aggregation node, temperature measurement node is responsible for collecting temperature information, and temperature information is transferred to leader cluster node, cluster head section
Point receives the data that temperature measurement node is sent in cluster, and transmits data to aggregation node, and aggregation node is responsible for leader cluster node
For data sending to apps server, the communication between node is as shown in Figure 2.
Server is remote monitoring server, and remote monitoring server is by a high-performance server and relative application software
Form, application software includes:Front end data acquisition program, database service, distributed application server program, Web service journey
Sequence, these application software are known technology and are built in server.
The major function of client includes:Real-time monitoring, real-time curve, statistical analysis, alarm list, system administration, journey
The function modules such as sequence renewal, system help.
Data acquisition node uses modularized design, by the collection of data, conditioning, analog-to-digital conversion, data processing and wireless
Radio frequency is independently opened, and is worked easy to the later maintenance of node.It is convenient at the same time when needing and function being increased and is changed.
Node is by data acquisition module, data processing module, data transmission blocks and energy supply four module composition.
Two alarm leader cluster nodes form double aggregation nodes, relay node and double aggregation nodes, avoid single-hop transmission model
The limitation enclosed, with the addition of the mode of relay node increases the transmission range of data, meanwhile, in order to improve the timeliness of data transfer
Property and malfunctioning node data upload comprehensive, the system is using the transmission of normal node and malfunctioning node monitoring data subchannel
Operating mode.
The embodiment of the present invention has the data transmission scheme of high reliability, since vibration signal is high-frequency signal, and equipment
All it is in most cases normal work, if these data measured are all transferred to server, can so causes a large amount of
Data redundancy, memory space can waste largely, it is also possible to cause system unstable, set due to monitoring in most cases
The standby state in normal work, at this time without carrying out accurate accident analysis, need to only obtain the partial feature value of equipment.
The embodiment of the present invention uses multiple sensor faults diagnosis technology, i.e., the data that single sensor measures, will necessarily make
Into the omission of effective fault characteristic information, increase the contingency of fault diagnosis result.Gather at the same time and analyze the letter of multiple passages
Number, which can obtain, more includes the useful information of fault signature, so as to improve the accuracy and confidence of fault diagnosis result
Degree.
In wireless sensor network system, the basic network architecture has two kinds:A kind of is the Star based on static routing
Type structure single-hop wireless communication mode, another kind is the Mesh type structure multi-hop wireless transmission modes based on dynamic routing.
The star-like wireless sensor network structure that single-hop is wirelessly transferred, its network structure is simple, easy to implement, and whole net
The energy expenditure of each monitoring node is averaged in network, while the network delay of data packet is smaller, this topological structure from design on compared with
For complexity, the new algorithm on Mesh topological structures is still in conceptual phase at present, and the purpose of this method realizes network
Self-organizing is to reach the addition of the monitoring node under no admin state and removal.
Compare two kinds of topological structures, Mesh type topological structures complexity is high, have network capacity is big, transmission range is wide,
The advantages that data transmission credibility is high, but network-induced delay is long, monitoring node energy expenditure is uneven since the structure has
The shortcomings of even, be easy to cause monitoring data and upload not in time and network monitoring data caused by the too fast consumption of part of nodes energy
Imperfect or even local paralysis.Star type topological structures are although relatively simple, transmission range than relatively limited, but this transmission side
Formula tissue is simple, is easy in industry spot stable operation.For the wireless sensor network for the rolling bearing for needing to design in paper
Network monitors system, Star types wireless sensor network can embody the consumption of each node energy uniformly, data upload in time
Advantage, this is the precondition that system is accurately completed to monitor and diagnose, meanwhile, it can be opened up by way of increasing relay node
Open up the coverage of network.Therefore, the wireless sensor monitoring network of design uses Star Basic Topologicals.
In view of the finiteness of single-hop networks transmission range, stelliform connection topology configuration is improved here.In industry spot,
The installation site of monitoring node is determined by the specific situation of equipment and production line, although opposite in industry spot monitoring node quantity
It is limited, but since device distribution has high concentration and high degree of dispersion double grading, the distribution of monitoring node also has
Have and equally have the quality that, in order to avoid single-hop transmission scope limitation the system by the way of relay node is added
Increase the transmission range of data.Meanwhile upload comprehensive, sheet to improve the timeliness of data transfer and malfunctioning node data
System is using normal node and the operating mode of malfunctioning node monitoring data subchannel transmission, when the bearing that node is monitored is in
During normal operating conditions, monitoring node uploads its time domain and frequency domain character parameter for being calculated by master network;When monitoring saves
When point is in abnormal operation, monitoring node uploads its bearing vibration data collected by system alarm network
Full content.Improved by above two parts, ultimately form the tree network topology structure of double aggregation nodes.
WSN Protocol Designs use the Cluster Networks topological structure of tree-like double aggregation nodes, i.e., have two remittances in whole network
Poly- node, is main aggregation node and alarm aggregation node respectively.Network has two level and three-level both of which, is respectively intelligent testing
Shake node, aggregation node two-stage pattern or intelligent vibration measuring node, relay node, aggregation node three-level schema.Vibration measuring node into
Collection, processing and the analysis of row vibration data, it would be desirable to which the data of upload are uploaded to corresponding aggregation node;Aggregation node is then united
The sequential of each node, is on the one hand sent to vibration measuring node, separately by the control instruction for coming from server end in one control network
On the one hand the data that intellectual monitoring node uploads are collected, and are sent to server end, server carries out the signal of collection in worksite
Processing, storage, and accident analysis and diagnosis are carried out, meanwhile, server can also send instruction to obtain expection to vibration measuring node
Effect, such as change feature Value Types, alarming value and the real-time collection for carrying out data.
Since vibration signal is high-frequency signal, and equipment is all in most cases normal work, if this measured
A little data are all transferred to server, can so cause substantial amounts of data redundancy, memory space can be wasted largely, it is also possible to be made
It is unstable into system, since monitoring device is in the state worked normally in most cases, at this time without carrying out accurate event
Barrier analysis, need to only obtain the partial feature value of equipment, therefore individual node volume of transmitted data is smaller;Monitored in practical application
The situation that equipment is in malfunction is less, but needs to obtain the more complete information of equipment in this case, as failure afterwards
Rigorous analysis, it is therefore desirable to which the data volume of transmission is big.Data analysis and feature extraction are carried out by intellectual monitoring node, and in terms of
Calculation result is diagnosis basis, so as to reach the target for reducing data sending amount.
The data that single sensor measures, will necessarily cause the omission of effective fault characteristic information, increase fault diagnosis knot
The contingency of fruit.The signal data for gathering at the same time and analyzing multiple passages can obtain more useful letters for including fault signature
Breath, so as to improve the accuracy and confidence level of fault diagnosis result.Technology for mechanical fault diagnosis is that research mechanical equipment is run
Status information, the state and failure of monitoring, diagnosis and indication mechanical equipment, a science skill of guarantee mechanical equipment safe operation
Art.Its necessary condition is exactly that fault-signal feature is extracted from operation state signal, for the early stage of mechanical system
Failure, in the budding stage, its performance is little with the difference under normal condition, often appears as unstable small-signal.This
Outside, the Weak fault signal of early stage is submerged in strong background noise, shows the non-stationary nonlinear characteristic of complexity so that early stage
The small-signal of failure is more difficult to extract.
Vibration measuring node in master network frequency range and is in listening state after power-up initializing, is receiving main aggregation node
Invitation add after network instruction, vibration measuring node sends the addition network information to aggregation node, and main aggregation node judges new section
Whether vibration measuring node can add network to point, send response instruction afterwards, including node adds successful flag bit, adds network
Success.
The characteristic value parameter upper limit of setting is included in the code that main aggregation node or relay node issue vibration measuring node.
Program is calculated feature value parameter and is contrasted with setting value by vibration measuring node, if being less than setting value, directly returns number
According to parameter, if above characteristic value, then application is needed to exit network to be added in warning net.
The process to exit network is similar with the process for adding network, after the upload data command of main aggregation node is received,
Vibration measuring node sends the information that exits network, and after main aggregation node determines that the node can exit network, sends response instruction afterwards,
Successful flag bit is added including node, adds network success.
In addition to normal exit network, vibration measuring node may fail during work, and the node of failure cannot
The instruction sent to aggregation node carries out feedback, and in this case, aggregation node can count the number that node is not fed back, such as
Fruit number exceedes certain number, then it is assumed that the vibration nodal point fails, and reports to server.After vibration measuring node is replaced, it is added
It is also to use module described above with exitting network.
The availability of following experimental verification node addition and the program that exits network is designed herein.Send broadcast singal and invite section
Point adds main aggregation networks;Node replys the ACK addition network informations after receiving invitation instruction;It is true that aggregation node replys vibration measuring node
Recognize addition network, node adds network success;Vibration measuring node sends the information that exits network to aggregation node;Aggregation node, which receives, to move back
Response instruction is sent after going out application;Node successfully exits network.
Rolling bearing is most widely used as the important component in rotary machine in various drive apparatus.It has
A series of advantage, such as:Friction coefficient is small, some bearings not high to lubricating oil viscosity coefficient requirements can also be born at the same time
Radial load and axial force.Rolling bearing is due to damage and after producing failure, may be reflected in during the work time temperature rise, noise,
The various aspects such as vibration.Theoretically, the symptom of the several aspects of the above can serve as the diagnosis basis of rolling bearing fault,
And practice have shown that, Analysis of Fault on Roller Bearing should based on vibration, supplemented by temperature monitoring, its reason just temperature monitoring can between
It is reversed to reflect bearing working state, operational situation, therefore, vibration and monitoring variable of the temperature as bearing fault can be chosen.
Since temperature is gradual amount, temperature data is by the way of interval sampling, i.e., each node collection one per minute
Temperature data, sampling period can freely be set by user.After measuring point finds alert event, sample frequency can be accelerated, obtained
More warning messages, and can completely preserve alert event occur when information, for the later stage fault diagnosis provide it is rich
Rich resource.
Test platform structure is as shown in figure 5, power is reached on axis, driven as power delivery section by motor by belt
The rotation of axis.Loading device is made of pressure flange 7 and pressure copper sheathing 8, when depressing flange depressing force difference, the load of axis
Also it is different, it is possible to allow the bearing at axis both ends to work under different operating modes.Y132S-4 motors 16 on motor floor 17, pass through
Motor pulley 15 drives spindle pulley 11 to rotate, and the rotation of main shaft 6 is driven by the key 12 on main shaft, depresses 7 He of flange
Copper sheathing 8 to be depressed to be installed on main shaft by axial baffle ring 9, bearing 5 is fixed on the both ends of axis, and whole device is all protected by transparent cover 3,
And fixed by bolt 1 and packing ring 2.Loading device is made of pressure flange 7 and pressure copper sheathing 8, when pressure flange depressing force
When different, the load of axis is also different, it is possible to allows the bearing at axis both ends to work under different operating modes.
Fig. 1 is by taking three subsidiary factory's LANs of Wuhan Steel stock Co., Ltd as an example.
The characteristics of embodiment of the present invention is:Relatively wired on-line monitoring, wireless sensor network eliminate the related expense such as cable
With, and wireless sensing node expense relative moderate, it is that enterprise is cost-effective;Wireless sensing module is only needed if there is failure
The module of identical function is replaced, without other care and maintenances;Wireless sensor network module has multiple interfaces, can be with coupling
Multiple sensors are closed, are assembled according to the difference of data acquisition demand, the installation to monitoring device offers convenience;Wireless sensing
The network characteristic and ardware feature of monitoring modular determine that monitoring modular has stronger mobility, and layout personnel can basis
Different monitoring indexes, different orientation are laid out, and can be placed on around equipment can also be embedded into inside equipment;Wirelessly
The region that sensor network monitoring system can also be applied to the region of wiring and power supply supply difficulty and personnel cannot reach.
Although the present invention is shown and described by reference to preferred embodiment, this specialty ordinary skill
Personnel can make various change in form and details it is to be appreciated that in the range of claims.
Claims (3)
- A kind of 1. bear vibration monitoring device based on wireless sensor network, it is characterised in that:Including wireless data collection device, Wireless router, server and user's PC machine;The wireless data collection device includes vibration acceleration sensor and temperature sensor, the wireless data collection device After the data collected are handled, through wireless router, it is transmitted in the background data base of server, user is using in factory Portion's enterprise network analysis Real-time Monitoring Data carries out the inquiry of historical data operation;One wireless router and several wireless data collection devices constitute cluster, several clusters constitute whole monitoring pair As sensing data is wirelessly transferred to wireless router by wireless data collection device, and each wireless router is born The data forwarding of 1-16 wireless data collection device is blamed, server is finally forwarded the data to and is stored and analyzed, and carry Supply enterprise customer's service;Wireless data collection device, wireless router, server constitute wireless collection network system, the wireless collection network System includes temperature measurement node, leader cluster node and aggregation node, and the cluster is made of leader cluster node and temperature measurement node, the thermometric section The responsible collecting temperature information of point, and temperature information is transferred to leader cluster node, the leader cluster node receives temperature measurement node hair in cluster The data come, and aggregation node is transmitted data to, the aggregation node is responsible for the data sending of leader cluster node to server;The server uses high-performance server, and high-performance server is built-in with relative application software, the application software package Include front end data acquisition program, database service, distributed application server program, Web service program;User's PC machine includes client, and the client carries out monitoring in real time, real-time curve, statistical analysis, alarm row Table, system administration, program renewal, system help operation.
- 2. the bear vibration monitoring device according to claim 1 based on wireless sensor network, it is characterised in that:The nothing Line collection network system has further included two relay nodes and two alarm leader cluster nodes.
- 3. the bear vibration monitoring device according to claim 1 based on wireless sensor network, it is characterised in that:The nothing Network architecture in line collection network system uses stelliform connection topology configuration, and the stelliform connection topology configuration is by normal node and failure section The subchannel transmission of point monitoring data.
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108534841A (en) * | 2018-07-04 | 2018-09-14 | 北京裕成泰科技有限公司 | A kind of vibration of distributed networked and temperature data collecting system |
CN109115499A (en) * | 2018-10-19 | 2019-01-01 | 广州益牛科技有限公司 | Equipment bearing vibration data intelligence is capable of real-time acquisition and analysis system |
CN109163796A (en) * | 2018-09-10 | 2019-01-08 | 广州小楠科技有限公司 | Bearing in rotating machinery vibration data intelligence is capable of real-time acquisition and analysis system |
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CN112650166A (en) * | 2020-12-14 | 2021-04-13 | 云南迦南飞奇科技有限公司 | Production line condition big data system based on wireless network and diagnosis method thereof |
CN113281046A (en) * | 2021-05-27 | 2021-08-20 | 陕西科技大学 | Paper machine bearing monitoring device and method based on big data |
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CN114624025A (en) * | 2020-11-27 | 2022-06-14 | 中冶宝钢技术服务有限公司 | On-line monitoring device and monitoring method for bearing state of driving wheel |
TWI814249B (en) * | 2022-02-11 | 2023-09-01 | 中國鋼鐵股份有限公司 | Method for monitoring temperature of work roll bearing |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101166127A (en) * | 2006-10-16 | 2008-04-23 | 武汉大学 | Real time monitoring system for reservoir flood information based on radio sensing network |
KR20090065233A (en) * | 2007-12-17 | 2009-06-22 | 한국전자통신연구원 | Method for recognizing location based on clustering in wireless sensor network |
CN102256325A (en) * | 2011-08-31 | 2011-11-23 | 电子科技大学 | Fermat point-based routing method and system in double sink mutual backup wireless sensor network (WSN) |
CN102721741A (en) * | 2012-06-18 | 2012-10-10 | 北京科技大学 | Wind power blade damage monitoring and positioning system based on wireless acoustic emission sensor network |
CN103458364A (en) * | 2013-09-09 | 2013-12-18 | 中国矿业大学 | Coal mine goaf zone spontaneous combustion source positioning system based on WSN |
CN104048749A (en) * | 2014-06-24 | 2014-09-17 | 东北电力大学 | Vibration fault detection system and method for wind turbine generator units |
CN204482045U (en) * | 2015-04-13 | 2015-07-15 | 安徽工程大学 | A kind of wireless network architecture for monitoring power equipment |
CN204731997U (en) * | 2015-06-25 | 2015-10-28 | 华东交通大学 | A kind of navigation of the bridge based on WSN monitoring and collision avoidance system |
CN207408100U (en) * | 2017-11-24 | 2018-05-25 | 浙江机电职业技术学院 | Bear vibration monitoring device based on wireless sensor network |
-
2017
- 2017-11-24 CN CN201711189961.1A patent/CN107907332A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101166127A (en) * | 2006-10-16 | 2008-04-23 | 武汉大学 | Real time monitoring system for reservoir flood information based on radio sensing network |
KR20090065233A (en) * | 2007-12-17 | 2009-06-22 | 한국전자통신연구원 | Method for recognizing location based on clustering in wireless sensor network |
CN102256325A (en) * | 2011-08-31 | 2011-11-23 | 电子科技大学 | Fermat point-based routing method and system in double sink mutual backup wireless sensor network (WSN) |
CN102721741A (en) * | 2012-06-18 | 2012-10-10 | 北京科技大学 | Wind power blade damage monitoring and positioning system based on wireless acoustic emission sensor network |
CN103458364A (en) * | 2013-09-09 | 2013-12-18 | 中国矿业大学 | Coal mine goaf zone spontaneous combustion source positioning system based on WSN |
CN104048749A (en) * | 2014-06-24 | 2014-09-17 | 东北电力大学 | Vibration fault detection system and method for wind turbine generator units |
CN204482045U (en) * | 2015-04-13 | 2015-07-15 | 安徽工程大学 | A kind of wireless network architecture for monitoring power equipment |
CN204731997U (en) * | 2015-06-25 | 2015-10-28 | 华东交通大学 | A kind of navigation of the bridge based on WSN monitoring and collision avoidance system |
CN207408100U (en) * | 2017-11-24 | 2018-05-25 | 浙江机电职业技术学院 | Bear vibration monitoring device based on wireless sensor network |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108534841A (en) * | 2018-07-04 | 2018-09-14 | 北京裕成泰科技有限公司 | A kind of vibration of distributed networked and temperature data collecting system |
CN109163796A (en) * | 2018-09-10 | 2019-01-08 | 广州小楠科技有限公司 | Bearing in rotating machinery vibration data intelligence is capable of real-time acquisition and analysis system |
CN109238703A (en) * | 2018-09-26 | 2019-01-18 | 东莞绿邦智能科技有限公司 | Rotary equipment bearings abnormal vibration intelligent checking system |
CN109115499A (en) * | 2018-10-19 | 2019-01-01 | 广州益牛科技有限公司 | Equipment bearing vibration data intelligence is capable of real-time acquisition and analysis system |
TWI755691B (en) * | 2020-03-05 | 2022-02-21 | 悅聲志業股份有限公司 | Intelligent manufacturing hearing alarm system |
CN114624025A (en) * | 2020-11-27 | 2022-06-14 | 中冶宝钢技术服务有限公司 | On-line monitoring device and monitoring method for bearing state of driving wheel |
CN112650166A (en) * | 2020-12-14 | 2021-04-13 | 云南迦南飞奇科技有限公司 | Production line condition big data system based on wireless network and diagnosis method thereof |
CN113381903A (en) * | 2021-04-28 | 2021-09-10 | 国网宁夏电力有限公司吴忠供电公司 | Monitoring network system, building method, electronic device and storage medium |
CN113281046A (en) * | 2021-05-27 | 2021-08-20 | 陕西科技大学 | Paper machine bearing monitoring device and method based on big data |
CN113281046B (en) * | 2021-05-27 | 2024-01-09 | 陕西科技大学 | Paper machine bearing monitoring device and method based on big data |
CN113790891A (en) * | 2021-09-17 | 2021-12-14 | 北京科技大学 | Wireless temperature measurement and state early warning system for supporting roller bearing of continuous rolling unit |
TWI814249B (en) * | 2022-02-11 | 2023-09-01 | 中國鋼鐵股份有限公司 | Method for monitoring temperature of work roll bearing |
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